xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

5f22cd4c7df56cbad90a1855eababba298933a79

33

py

Python

showcase/help_functions/__init__.py

SbastianGarzon/geoextent

b1731c3d69eeb0af18a9d5a0178cf47ae2492b13

[ "MIT" ]

1

2021-01-02T06:07:09.000Z

showcase/help_functions/__init__.py

SbastianGarzon/geoextent

b1731c3d69eeb0af18a9d5a0178cf47ae2492b13

[ "MIT" ]

119

2019-08-16T08:37:53.000Z

2021-08-20T13:16:10.000Z

showcase/help_functions/__init__.py

SbastianGarzon/geoextent

b1731c3d69eeb0af18a9d5a0178cf47ae2492b13

[ "MIT" ]

6

2019-08-12T08:11:55.000Z

2020-09-24T18:39:02.000Z

from request_zenodo_api import *

16.5

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a0301da5d390d052f0e1b35e59be81474f24127c

71

py

Python

plgspl/types.py

bevansm/PLGSPL

b7f8e9b103756398d8eb9e3d207eaf767897c79f

[ "MIT" ]

1

2021-08-16T00:40:58.000Z

plgspl/types.py

bevansm/PLGSPL

b7f8e9b103756398d8eb9e3d207eaf767897c79f

[ "MIT" ]

1

2021-08-28T13:58:20.000Z

2021-08-29T00:06:07.000Z

plgspl/types.py

bevansm/PLGSPL

b7f8e9b103756398d8eb9e3d207eaf767897c79f

[ "MIT" ]

null

from fpdf import FPDF, HTMLMixin class PDF(FPDF, HTMLMixin): pass

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a0a762a6fed34827bc0c9bcbc609087de5560991

45

py

Python

book-code/numpy-ml/numpy_ml/linear_models/__init__.py

yangninghua/code_library

b769abecb4e0cbdbbb5762949c91847a0f0b3c5a

[ "MIT" ]

null

book-code/numpy-ml/numpy_ml/linear_models/__init__.py

yangninghua/code_library

b769abecb4e0cbdbbb5762949c91847a0f0b3c5a

[ "MIT" ]

null

book-code/numpy-ml/numpy_ml/linear_models/__init__.py

yangninghua/code_library

b769abecb4e0cbdbbb5762949c91847a0f0b3c5a

[ "MIT" ]

null

from .lm import * from .naive_bayes import *

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6

cd80fe3407b9c27a58445eff017ab6e8b913139a

7,429

py

Python

tests/unit/cfngin/lookups/handlers/test_ami.py

avosper-intellaegis/runway

757d4e7db269ec16479b044ac82a69f25fa2a450

[ "Apache-2.0" ]

134

2018-02-26T21:35:23.000Z

2022-03-03T00:30:27.000Z

tests/unit/cfngin/lookups/handlers/test_ami.py

asksmruti/runway

8aca76df9372e3d13eb35e12f81758f618e89e74

[ "Apache-2.0" ]

937

2018-03-08T22:04:35.000Z

2022-03-30T12:21:47.000Z

tests/unit/cfngin/lookups/handlers/test_ami.py

asksmruti/runway

8aca76df9372e3d13eb35e12f81758f618e89e74

[ "Apache-2.0" ]

70

2018-02-26T23:48:11.000Z

2022-03-02T18:44:30.000Z

"""Tests for runway.cfngin.lookups.handlers.ami.""" # pylint: disable=no-self-use # pyright: basic from __future__ import annotations from typing import TYPE_CHECKING import pytest from runway.cfngin.lookups.handlers.ami import AmiLookup, ImageNotFound if TYPE_CHECKING: from ....factories import MockCFNginContext REGION = "us-east-1" class TestAMILookup: """Tests for runway.cfngin.lookups.handlers.ami.ImageNotFound.""" def test_basic_lookup_single_image(self, cfngin_context: MockCFNginContext) -> None: """Test basic lookup single image.""" stubber = cfngin_context.add_stubber("ec2") image_id = "ami-fffccc111" stubber.add_response( "describe_images", { "Images": [ { "OwnerId": "897883143566", "Architecture": "x86_64", "CreationDate": "2011-02-13T01:17:44.000Z", "State": "available", "ImageId": image_id, "Name": "Fake Image 1", "VirtualizationType": "hvm", } ] }, ) with stubber: assert ( AmiLookup.handle( value=r"owners:self name_regex:Fake\sImage\s\d", context=cfngin_context, ) == image_id ) def test_basic_lookup_with_region(self, cfngin_context: MockCFNginContext) -> None: """Test basic lookup with region.""" stubber = cfngin_context.add_stubber("ec2", region="us-west-1") image_id = "ami-fffccc111" stubber.add_response( "describe_images", { "Images": [ { "OwnerId": "897883143566", "Architecture": "x86_64", "CreationDate": "2011-02-13T01:17:44.000Z", "State": "available", "ImageId": image_id, "Name": "Fake Image 1", "VirtualizationType": "hvm", } ] }, ) with stubber: assert ( AmiLookup.handle( value=r"us-west-1@owners:self name_regex:Fake\sImage\s\d", context=cfngin_context, ) == image_id ) def test_basic_lookup_multiple_images( self, cfngin_context: MockCFNginContext ) -> None: """Test basic lookup multiple images.""" stubber = cfngin_context.add_stubber("ec2") image_id = "ami-fffccc111" stubber.add_response( "describe_images", { "Images": [ { "OwnerId": "897883143566", "Architecture": "x86_64", "CreationDate": "2011-02-13T01:17:44.000Z", "State": "available", "ImageId": "ami-fffccc110", "Name": "Fake Image 1", "VirtualizationType": "hvm", }, { "OwnerId": "897883143566", "Architecture": "x86_64", "CreationDate": "2011-02-14T01:17:44.000Z", "State": "available", "ImageId": image_id, "Name": "Fake Image 2", "VirtualizationType": "hvm", }, # include an ARI in the response to ensure it can be handled # (these don't include a 'Name') { "OwnerId": "897883143566", "Architecture": "x86_64", "CreationDate": "2011-06-24T20:34:25.000Z", "State": "available", "ImageId": "ari-e6bc478f", "VirtualizationType": "paravirtual", }, ] }, ) with stubber: assert ( AmiLookup.handle( value=r"owners:self name_regex:Fake\sImage\s\d", context=cfngin_context, ) == image_id ) def test_basic_lookup_multiple_images_name_match( self, cfngin_context: MockCFNginContext ) -> None: """Test basic lookup multiple images name match.""" stubber = cfngin_context.add_stubber("ec2") image_id = "ami-fffccc111" stubber.add_response( "describe_images", { "Images": [ { "OwnerId": "897883143566", "Architecture": "x86_64", "CreationDate": "2011-02-13T01:17:44.000Z", "State": "available", "ImageId": "ami-fffccc110", "Name": "Fa---ke Image 1", "VirtualizationType": "hvm", }, { "OwnerId": "897883143566", "Architecture": "x86_64", "CreationDate": "2011-02-14T01:17:44.000Z", "State": "available", "ImageId": image_id, "Name": "Fake Image 2", "VirtualizationType": "hvm", }, ] }, ) with stubber: assert ( AmiLookup.handle( value=r"owners:self name_regex:Fake\sImage\s\d", context=cfngin_context, ) == image_id ) def test_basic_lookup_no_matching_images( self, cfngin_context: MockCFNginContext ) -> None: """Test basic lookup no matching images.""" stubber = cfngin_context.add_stubber("ec2") stubber.add_response("describe_images", {"Images": []}) with stubber, pytest.raises(ImageNotFound): AmiLookup.handle( value=r"owners:self name_regex:Fake\sImage\s\d", context=cfngin_context ) def test_basic_lookup_no_matching_images_from_name( self, cfngin_context: MockCFNginContext ) -> None: """Test basic lookup no matching images from name.""" stubber = cfngin_context.add_stubber("ec2") image_id = "ami-fffccc111" stubber.add_response( "describe_images", { "Images": [ { "OwnerId": "897883143566", "Architecture": "x86_64", "CreationDate": "2011-02-13T01:17:44.000Z", "State": "available", "ImageId": image_id, "Name": "Fake Image 1", "VirtualizationType": "hvm", } ] }, ) with stubber, pytest.raises(ImageNotFound): AmiLookup.handle( value=r"owners:self name_regex:MyImage\s\d", context=cfngin_context )

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null

0

1

0

null

0

6

26d5c9c3785fe4dcff144d1a44245f0a43fcac6c

7,723

py

Python

permute.py

Lexseal/cube-solver

be8928734ecad4bde2ede9cac0207df9e20b8d91

[ "MIT" ]

null

permute.py

Lexseal/cube-solver

be8928734ecad4bde2ede9cac0207df9e20b8d91

[ "MIT" ]

null

permute.py

Lexseal/cube-solver

be8928734ecad4bde2ede9cac0207df9e20b8d91

[ "MIT" ]

null

from queue import SimpleQueue import numpy as np from time import time import random from array import array from copy import copy import cube_model from cube import Cube import rank from move_coord import stage1_move, stage2_move """ Permutes through most of the cube positions in the coordinate level to calculate a pruning table. """ def calc_stage1_corners_ud(): # stage 1 can be completed in 12 moves or fewer stage1_corners_ud = bytearray([12]*cube_model.StateSize.CO_ORI*cube_model.StateSize.UD_COMB) stage1_corners_ud[0] = 0 # first entry is solved so takes 0 move to get to # [co_ori, eg_ori, ud_edges, last_move] state = array('I', [0, 0, 0, 255]) # a new cube queue = SimpleQueue() queue.put(state) n = 0 last_print = 0 start_time = time() # logs while queue.qsize() > 0: cur_state = queue.get() # pop cur_idx = cur_state[0]*cube_model.StateSize.UD_COMB + cur_state[2] move_count = stage1_corners_ud[cur_idx] # get the move count up to this state last_move = cur_state[3] for move in cube_model.MoveSpace: cur_face = move//3 last_face = last_move//3 if cur_face == last_face: continue elif cur_face == 3 and last_face == 1: continue elif cur_face == 4 and last_face == 2: continue elif cur_face == 5 and last_face == 0: continue next_state = copy(cur_state) # get a copy of cur state stage1_move(next_state, move) # compute next state next_idx = next_state[0]*cube_model.StateSize.UD_COMB + next_state[2] next_count = stage1_corners_ud[next_idx] # get moves count if next_count > move_count+1: stage1_corners_ud[next_idx] = move_count+1 next_state[3] = move queue.put(next_state) n += 1 if (n-last_print > 100): last_print = n print(n, str(queue.qsize()//1000)+'k', move_count, round((time()-start_time)/60, 2)) print(n) np.save("table/stage1_corners", np.array(stage1_corners_ud, dtype=np.uint8)) def calc_stage1_edges_ud(): # works because stage 1 can be completed in 12 moves or fewer stage1_edges = bytearray([12]*cube_model.StateSize.EG_ORI*cube_model.StateSize.UD_COMB) stage1_edges[0] = 0 # first entry is solved so takes 0 move to get to # [co_ori, eg_ori, ud_edges, last_move] state = array('I', [0, 0, 0, 255]) # a new cube queue = SimpleQueue() queue.put(state) n = 0 last_print = 0 start_time = time() # logs while queue.qsize() > 0: cur_state = queue.get() # pop cur_idx = cur_state[1]*cube_model.StateSize.UD_COMB + cur_state[2] move_count = stage1_edges[cur_idx] # get the move count up to this state last_move = cur_state[3] for move in cube_model.MoveSpace: cur_face = move//3 last_face = last_move//3 if cur_face == last_face: continue elif cur_face == 3 and last_face == 1: continue elif cur_face == 4 and last_face == 2: continue elif cur_face == 5 and last_face == 0: continue next_state = copy(cur_state) # get a copy of cur state stage1_move(next_state, move) # compute next state next_idx = next_state[1]*cube_model.StateSize.UD_COMB + next_state[2] next_count = stage1_edges[next_idx] # get moves count if next_count > move_count+1: stage1_edges[next_idx] = move_count+1 next_state[3] = move queue.put(next_state) n += 1 if (n-last_print > 1000): last_print = n print(n, str(queue.qsize()//1000)+'k', move_count, round((time()-start_time)/60, 2)) print(n) np.save("table/stage1_edges", np.array(stage1_edges, dtype=np.uint8)) def calc_stage2_corners_ud(): # stage 2 can be completed in 18 moves or fewer stage2_corners_ud = bytearray([18]*cube_model.StateSize.CO_PERM*cube_model.StateSize.UD_PERM) stage2_corners_ud[0] = 0 # first entry is solved so takes 0 move to get to # [co_perm, eg_perm, ud_perm, last_move] state = array('I', [0, 0, 0, 255]) # a new cube queue = SimpleQueue() queue.put(state) n = 0 last_print = 0 start_time = time() # logs while queue.qsize() > 0: cur_state = queue.get() # pop cur_idx = cur_state[0]*cube_model.StateSize.UD_PERM + cur_state[2] move_count = stage2_corners_ud[cur_idx] # get the move count up to this state last_move = cur_state[3] for move in cube_model.G1Space: # we don't use the entire move space cur_face = move//3 last_face = last_move//3 if cur_face == last_face: continue elif cur_face == 3 and last_face == 1: continue elif cur_face == 4 and last_face == 2: continue elif cur_face == 5 and last_face == 0: continue next_state = copy(cur_state) # get a copy of cur state stage2_move(next_state, move) # compute next state next_idx = next_state[0]*cube_model.StateSize.UD_PERM + next_state[2] next_count = stage2_corners_ud[next_idx] # get moves count if next_count > move_count+1: stage2_corners_ud[next_idx] = move_count+1 next_state[3] = move queue.put(next_state) n += 1 if (n-last_print > 1000): last_print = n print(n, str(queue.qsize()//1000)+'k', move_count, round((time()-start_time)/60, 2)) print(n) np.save("table/stage2_corners", np.array(stage2_corners_ud, dtype=np.uint8)) def calc_stage2_egdes_ud(): # stage 2 can be completed in 18 moves or fewer stage2_edges_ud = bytearray([18]*cube_model.StateSize.EG_PERM*cube_model.StateSize.UD_PERM) stage2_edges_ud[0] = 0 # first entry is solved so takes 0 move to get to # [co_perm, eg_perm, ud_perm, last_move] state = array('I', [0, 0, 0, 255]) # a new cube queue = SimpleQueue() queue.put(state) n = 0 last_print = 0 start_time = time() # logs while queue.qsize() > 0: cur_state = queue.get() # pop cur_idx = cur_state[1]*cube_model.StateSize.UD_PERM + cur_state[2] move_count = stage2_edges_ud[cur_idx] # get the move count up to this state last_move = cur_state[3] for move in cube_model.G1Space: # we don't use the entire move space cur_face = move//3 last_face = last_move//3 if cur_face == last_face: continue elif cur_face == 3 and last_face == 1: continue elif cur_face == 4 and last_face == 2: continue elif cur_face == 5 and last_face == 0: continue next_state = copy(cur_state) # get a copy of cur state stage2_move(next_state, move) # compute next state next_idx = next_state[1]*cube_model.StateSize.UD_PERM + next_state[2] next_count = stage2_edges_ud[next_idx] # get moves count if next_count > move_count+1: stage2_edges_ud[next_idx] = move_count+1 next_state[3] = move queue.put(next_state) n += 1 if (n-last_print > 1000): last_print = n print(n, str(queue.qsize()//1000)+'k', move_count, round((time()-start_time)/60, 2)) print(n) np.save("table/stage2_edges", np.array(stage2_edges_ud, dtype=np.uint8)) if __name__ == "__main__": calc_stage1_corners_ud() calc_stage1_edges_ud() calc_stage2_corners_ud() calc_stage2_egdes_ud() pass

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null

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6

26e95d389e4cddedd5240520c7ee90cef527f996

146

py

Python

backend/mainapp/schema.py

DiamondBrook/arrhythmia_project

7236d9c3ba0ff4b089111049236c956b45900571

[ "MIT" ]

null

backend/mainapp/schema.py

DiamondBrook/arrhythmia_project

7236d9c3ba0ff4b089111049236c956b45900571

[ "MIT" ]

null

backend/mainapp/schema.py

DiamondBrook/arrhythmia_project

7236d9c3ba0ff4b089111049236c956b45900571

[ "MIT" ]

null

import graphene import patientdb.schema class Query(patientdb.schema.Query, graphene.ObjectType): pass schema = graphene.Schema(query=Query)

20.857143

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6

26ff9c9ccefe94eb0436200f276c2c6f50dacf27

120

py

Python

net_models/models/interfaces/__init__.py

ashkalikava/net_models

1a99f6dc743665b47c4c4731bbca2a52176ded3f

[ "MIT" ]

null

net_models/models/interfaces/__init__.py

ashkalikava/net_models

1a99f6dc743665b47c4c4731bbca2a52176ded3f

[ "MIT" ]

null

net_models/models/interfaces/__init__.py

ashkalikava/net_models

1a99f6dc743665b47c4c4731bbca2a52176ded3f

[ "MIT" ]

1

2021-08-09T06:33:28.000Z

from .L2InterfaceModels import * from .L3InterfaceModels import * from .InterfaceModels import * from .SpModels import *

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f85c053092e225ade672c4d7a729718c62297f4c

55

py

Python

nlptoolkit/translation/models/Transformer/__init__.py

jackashore/NLP_Toolkit

e5bd8bcfad87f4906c45e66351adf93bd5c2727f

[ "Apache-2.0" ]

2

2020-09-26T11:20:13.000Z

2021-09-17T13:15:48.000Z

nlptoolkit/translation/models/Transformer/__init__.py

jackashore/NLP_Toolkit

e5bd8bcfad87f4906c45e66351adf93bd5c2727f

[ "Apache-2.0" ]

null

nlptoolkit/translation/models/Transformer/__init__.py

jackashore/NLP_Toolkit

e5bd8bcfad87f4906c45e66351adf93bd5c2727f

[ "Apache-2.0" ]

1

2021-03-11T21:14:24.000Z

from . import py_Transformer from . import Transformer

18.333333

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f8b3c14a1badc48b8d2a121045ff924a8d6f9d01

7,051

py

Python

AppVoor/tests/load_dataset_test.py

Noczio/VoorSpelling

51e30ab3f3b2e346c6eb56578818020e142a3adb

[ "BSD-3-Clause" ]

3

2020-10-09T06:15:14.000Z

2021-04-27T02:04:28.000Z

AppVoor/tests/load_dataset_test.py

Noczio/VoorSpelling

51e30ab3f3b2e346c6eb56578818020e142a3adb

[ "BSD-3-Clause" ]

17

2020-09-10T20:22:01.000Z

2020-12-21T04:57:03.000Z

AppVoor/tests/load_dataset_test.py

Noczio/VoorSpelling

51e30ab3f3b2e346c6eb56578818020e142a3adb

[ "BSD-3-Clause" ]

null

import unittest from resources.backend_scripts.load_data import LoaderCreator class MyTestCase(unittest.TestCase): _loader_creator = LoaderCreator() def test_data_loaded_csv(self): # load diabetes.csv from disk folder_name = "datasets" file_name = "diabetes.csv" test_full_path = ".\\..\\" + folder_name + "\\" + file_name # get dataframe using LoaderCreator csv_type = self._loader_creator.create_loader(test_full_path, "CSV") df = csv_type.get_file_transformed() df_column_len = len(df.columns) # do the values match? self.assertEqual(df_column_len, 9) def test_data_loaded_scsv(self): # load diabetes.csv from disk folder_name = "datasets" file_name = "winequality-red.csv" test_full_path = ".\\..\\" + folder_name + "\\" + file_name # get dataframe using LoaderCreator scsv_type = self._loader_creator.create_loader(test_full_path, "SCSV") df = scsv_type.get_file_transformed() df_column_len = len(df.columns) # do the values match? self.assertEqual(df_column_len, 12) def test_data_load_tsv(self): # load molecules.csv from disk folder_name = "datasets" file_name = "molecules.csv" test_full_path = ".\\..\\" + folder_name + "\\" + file_name # get dataframe using LoaderCreator tsv_type = self._loader_creator.create_loader(test_full_path, "TSV") df = tsv_type.get_file_transformed() df_column_len = len(df.columns) # do the values match? self.assertEqual(df_column_len, 34) def test_wrong_sep_for_tsv_file(self): # load molecules.csv from disk folder_name = "datasets" file_name = "molecules.csv" test_full_path = ".\\..\\" + folder_name + "\\" + file_name with self.assertRaises(TypeError): # get dataframe using LoaderCreator tsv_type = self._loader_creator.create_loader(test_full_path, "CSV") # this should raise an TypeError _ = tsv_type.get_file_transformed() def test_wrong_sep_for_scsv_file(self): # load molecules.csv from disk folder_name = "datasets" file_name = "winequality-red.csv" test_full_path = ".\\..\\" + folder_name + "\\" + file_name with self.assertRaises(TypeError): # get dataframe using LoaderCreator scsv_type = self._loader_creator.create_loader(test_full_path, "CSV") # this should raise an TypeError _ = scsv_type.get_file_transformed() def test_wrong_sep_for_csv_file(self): # load diabetes.csv from disk folder_name = "datasets" file_name = "diabetes.csv" test_full_path = ".\\..\\" + folder_name + "\\" + file_name with self.assertRaises(TypeError): csv_type = self._loader_creator.create_loader(test_full_path, "TSV") # this should raise an TypeError _ = csv_type.get_file_transformed() def test_wrong_path_csv_file(self): # load mol.csv from disk. This file does not exist folder_name = "datasets" file_name = "mol.csv" test_full_path = ".\\..\\" + folder_name + "\\" + file_name with self.assertRaises(FileNotFoundError): # get dataframe using LoaderCreator csv_type = self._loader_creator.create_loader(test_full_path, "CSV") # this should raise an FileNotFoundError _ = csv_type.get_file_transformed() def test_wrong_path_tsv_file(self): # load mol.csv from disk. This file does not exist folder_name = "datasets" file_name = "mol.csv" test_full_path = ".\\..\\" + folder_name + "\\" + file_name with self.assertRaises(FileNotFoundError): # get dataframe using LoaderCreator tsv_type = self._loader_creator.create_loader(test_full_path, "TSV") # this should raise an FileNotFoundError _ = tsv_type.get_file_transformed() def test_wrong_path_scsv_file(self): # load mol.csv from disk. This file does not exist folder_name = "datasets" file_name = "mol.csv" test_full_path = ".\\..\\" + folder_name + "\\" + file_name with self.assertRaises(FileNotFoundError): # get dataframe using LoaderCreator scsv_type = self._loader_creator.create_loader(test_full_path, "SCSV") # this should raise an FileNotFoundError _ = scsv_type.get_file_transformed() def test_creator_value_is_wrong(self): # load molecules.csv from disk folder_name = "datasets" file_name = "molecules.csv" test_full_path = ".\\..\\" + folder_name + "\\" + file_name with self.assertRaises(AttributeError): # get dataframe using LoaderCreator. This should raise a ValueError _ = self._loader_creator.create_loader(test_full_path, "txt") def test_creator_value_with_no_capital_letters_is_right(self): # load molecules.csv from disk folder_name = "datasets" file_name = "molecules.csv" test_full_path = ".\\..\\" + folder_name + "\\" + file_name # get dataframe using LoaderCreator tsv_type = self._loader_creator.create_loader(test_full_path, "tsv") df = tsv_type.get_file_transformed() df_column_len = len(df.columns) # do the values match? self.assertEqual(df_column_len, 34) def test_creator_value_with_no_capital_letters_and_white_space_is_right(self): # load molecules.csv from disk folder_name = "datasets" file_name = "molecules.csv" test_full_path = ".\\..\\" + folder_name + "\\" + file_name # get dataframe using LoaderCreator tsv_type = self._loader_creator.create_loader(test_full_path, " tsv ") df = tsv_type.get_file_transformed() df_column_len = len(df.columns) # do the values match? self.assertEqual(df_column_len, 34) def test_loader_creator_types_are_correct(self): # check for available types loader_types = self._loader_creator.get_available_types() expected_types = ("CSV", "TSV", "JSON", "SCSV") results = [True for i in loader_types if i in expected_types] bol_answer = all(results) # this should assert true self.assertTrue(bol_answer) def test_file_is_not_a_dataset_it_is_a_json(self): # load mol.csv from disk. This file does not exist folder_name = "json_info" file_name = "help_message.json" test_full_path = ".\\..\\" + folder_name + "\\" + file_name with self.assertRaises(Exception): # get dataframe using LoaderCreator csv_type = self._loader_creator.create_loader(test_full_path, "CSV") # this should raise an FileNotFoundError _ = csv_type.get_file_transformed() if __name__ == '__main__': unittest.main()

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null

0

1

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null

0

6

f8cdcd565ec5ada87f5ab66032b993e992d78881

69

py

Python

layers/__init__.py

mikuh/asr-transformer

ce5af3d6fbf2a4b92f39b3e25e0b5b8d7be4eb3f

[ "MIT" ]

null

layers/__init__.py

mikuh/asr-transformer

ce5af3d6fbf2a4b92f39b3e25e0b5b8d7be4eb3f

[ "MIT" ]

null

layers/__init__.py

mikuh/asr-transformer

ce5af3d6fbf2a4b92f39b3e25e0b5b8d7be4eb3f

[ "MIT" ]

null

from layers.encoder import Encoder from layers.decoder import Decoder

34.5

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6

0.5

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0

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34.5

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0

null

0

1

0

1

0

1

0

6

3e01e121f522b06504d81aa68f4af3851610373d

200

py

Python

melon_modules/cloud_data.py

WeMayNeverKnow/MelonMintBots

6feac66a25ad86ab0c9a8b41f4cdae819f4e9fbd

[ "MIT" ]

null

melon_modules/cloud_data.py

WeMayNeverKnow/MelonMintBots

6feac66a25ad86ab0c9a8b41f4cdae819f4e9fbd

[ "MIT" ]

null

melon_modules/cloud_data.py

WeMayNeverKnow/MelonMintBots

6feac66a25ad86ab0c9a8b41f4cdae819f4e9fbd

[ "MIT" ]

null

from hata import Client MELON : Client #@MELON.commands.from_class #class sync: # pass #@MELON.commands.from_class #class refresh: # pass #@MELON.commands.from_class #class reset: # pass

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null

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1

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6

3e40013e9eb9aa72622bc96fcb2341023cc3ee3f

184

py

Python

PoC/MLCube/src/benchmark/dataloader.py

aristizabal95/medical

17e5317d7c33a90aadda19151bde18d751068350

[ "Apache-2.0" ]

12

2021-03-23T18:25:25.000Z

2021-12-09T10:31:10.000Z

PoC/MLCube/src/benchmark/dataloader.py

aristizabal95/medical

17e5317d7c33a90aadda19151bde18d751068350

[ "Apache-2.0" ]

4

2021-04-18T20:49:24.000Z

2021-09-22T17:56:14.000Z

PoC/MLCube/src/benchmark/dataloader.py

aristizabal95/medical

17e5317d7c33a90aadda19151bde18d751068350

[ "Apache-2.0" ]

3

2021-03-19T02:58:32.000Z

2021-08-23T21:52:15.000Z

from torch.utils.data import DataLoader class DataLoader(DataLoader): def __init__(self, dataset, num_workers=0): super().__init__(dataset=dataset,num_workers=num_workers)

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null

0

1

0

1

0

6

e44801ded22ff85e8f451669de107b4ae5c676e2

207

py

Python

arc/project_test.py

artificialcreatures/arc

156276c930657d0ca263e33fc60efaa2bbf52de1

[ "Apache-2.0" ]

null

arc/project_test.py

artificialcreatures/arc

156276c930657d0ca263e33fc60efaa2bbf52de1

[ "Apache-2.0" ]

null

arc/project_test.py

artificialcreatures/arc

156276c930657d0ca263e33fc60efaa2bbf52de1

[ "Apache-2.0" ]

null

from arc.scm import SCM, obj_module_path from arc.data.job import Job from numpy import ndarray def test_obj_module(): assert obj_module_path(Job) == "arc.data.job" print(obj_module_path(ndarray))

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null

0

1

0

1

0

1

0

6

e44c4af9c70f2d3a85f0715a580fc8cd243f6cdc

682

py

Python

test/test_service_update.py

CiscoDevNet/python-msx-sdk

d7e0a08c656504b4f4551d263e67c671a2a04b3f

[ "MIT" ]

null

test/test_service_update.py

CiscoDevNet/python-msx-sdk

d7e0a08c656504b4f4551d263e67c671a2a04b3f

[ "MIT" ]

null

test/test_service_update.py

CiscoDevNet/python-msx-sdk

d7e0a08c656504b4f4551d263e67c671a2a04b3f

[ "MIT" ]

null

""" MSX SDK MSX SDK client. # noqa: E501 The version of the OpenAPI document: 1.0.9 Generated by: https://openapi-generator.tech """ import sys import unittest import python_msx_sdk from python_msx_sdk.model.service_update import ServiceUpdate class TestServiceUpdate(unittest.TestCase): """ServiceUpdate unit test stubs""" def setUp(self): pass def tearDown(self): pass def testServiceUpdate(self): """Test ServiceUpdate""" # FIXME: construct object with mandatory attributes with example values # model = ServiceUpdate() # noqa: E501 pass if __name__ == '__main__': unittest.main()

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0.017476

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682

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false

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0

1

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1

0

1

0

1

0

6

e4fcae713a3828986b801bd4d4dfc1f43e358520

509

py

Python

ssc2ce/tests/coinbase_expected_result.py

fakecoinbase/olnedslashssc2ce-python

2cf576471fe4ba1170f2ba85b09e85ba3ee47474

[ "MIT" ]

4

2020-06-23T13:04:11.000Z

2021-09-03T10:40:13.000Z

ssc2ce/tests/coinbase_expected_result.py

fakecoinbase/olnedslashssc2ce-python

2cf576471fe4ba1170f2ba85b09e85ba3ee47474

[ "MIT" ]

6

2020-06-01T13:20:37.000Z

2020-09-18T19:09:36.000Z

ssc2ce/tests/coinbase_expected_result.py

fakecoinbase/olnedslashssc2ce-python

2cf576471fe4ba1170f2ba85b09e85ba3ee47474

[ "MIT" ]

3

2019-05-24T16:35:30.000Z

2021-10-06T21:21:02.000Z

results = [ (0,), (1, 8539.99, 8541.6), (1, 8539.99, 8541.61), (1, 8539.99, 8541.59), (1, 8539.99, 8541.58), (1, 8539.99, 8541.57), (1, 8539.99, 8541.58), (1, 8538.96, 8541.58), (1, 8539.99, 8541.58), (1, 8539.99, 8541.58), (1, 8537.45, 8541.58), (1, 8537.45, 8541.58), (1, 8537.42, 8541.58), (1, 8537.44, 8541.58), (1, 8537.42, 8541.58), (1, 8537.42, 8541.58), (1, 8540.51, 8541.58), (1, 8540.52, 8541.58), (1, 8540.52, 8541.58), ]

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509

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0.377593

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0.551867

0.489627

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509

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1

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1

0

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null

0

6

9036895734e445cc530024607f4e65340d4491f3

650

py

Python

mathy_envs/gym/__init__.py

mathy/mathy_envs

41d82cca881ff9d3d3fe576d0e75100116a0e4da

[ "MIT" ]

1

2021-12-06T10:29:40.000Z

mathy_envs/gym/__init__.py

mathy/mathy_envs

41d82cca881ff9d3d3fe576d0e75100116a0e4da

[ "MIT" ]

8

2020-09-06T17:17:22.000Z

2021-08-11T20:35:26.000Z

mathy_envs/gym/__init__.py

mathy/mathy_envs

41d82cca881ff9d3d3fe576d0e75100116a0e4da

[ "MIT" ]

null

try: import gym # noqa except ImportError: raise ImportError( """ The "gym" library must be installed to use mathy_envs.gym submodule. Please try: pip install mathy_envs[gym] """ ) from .gym_binomial_distribute import * # noqa from .gym_complex_simplify import * # noqa from .gym_poly_blockers import * # noqa from .gym_poly_combine_in_place import * # noqa from .gym_poly_commute_like_terms import * # noqa from .gym_poly_grouping import * # noqa from .gym_poly_haystack_like_terms import * # noqa from .gym_poly_simplify import * # noqa from .masked_discrete import * # noqa from .mathy_gym_env import * # noqa

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0.31929

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0.190769

650

21

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true

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null

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1

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1

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6

5f42f0559b3e9f213963c956066d9827effd2be2

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py

Python

arclet/edoves/mah/module/__init__.py

ArcletProject/Edoves

b28423057ab765796d5299b5d8f98a0e8ce494dd

[ "MIT" ]

2

2022-01-25T16:05:30.000Z

2022-02-12T18:33:39.000Z

arclet/edoves/mah/module/__init__.py

ArcletProject/Edoves

b28423057ab765796d5299b5d8f98a0e8ce494dd

[ "MIT" ]

4

2022-03-04T08:24:53.000Z

2022-03-23T15:22:26.000Z

arclet/edoves/mah/module/__init__.py

ArcletProject/Edoves

b28423057ab765796d5299b5d8f98a0e8ce494dd

[ "MIT" ]

null

from .message import MessageModule

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6

5f7b3e4af612b1072c491d7b84e8c6de3f1e4133

194

bzl

Python

rules/scala/grpc_scala_library.bzl

heartless-clown/rules_proto

99c0d0c7a00c1df7221afc3331b5d859a02c420f

[ "Apache-2.0" ]

249

2018-10-24T21:11:08.000Z

2022-03-31T03:28:34.000Z

rules/scala/grpc_scala_library.bzl

heartless-clown/rules_proto

99c0d0c7a00c1df7221afc3331b5d859a02c420f

[ "Apache-2.0" ]

147

2018-12-05T18:58:13.000Z

2022-03-26T15:41:07.000Z

rules/scala/grpc_scala_library.bzl

heartless-clown/rules_proto

99c0d0c7a00c1df7221afc3331b5d859a02c420f

[ "Apache-2.0" ]

126

2018-11-20T22:34:48.000Z

2022-03-18T13:42:05.000Z

"grpc_scala_library.bzl provides a scala_library for grpc files." load("@io_bazel_rules_scala//scala:scala.bzl", "scala_library") def grpc_scala_library(**kwargs): scala_library(**kwargs)

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0.22695

0

0.092784

194

6

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true

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null

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null

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0

6

5fcbd65c35af3fb6f5f10b6294fa0936d4de6d82

181

py

Python

web_scrapers/linkedin/local_drivers/__init__.py

kohlert/data_science

acfa37ec6e69beda6b7a1b5ae29373b03d32c0f2

[ "MIT" ]

null

web_scrapers/linkedin/local_drivers/__init__.py

kohlert/data_science

acfa37ec6e69beda6b7a1b5ae29373b03d32c0f2

[ "MIT" ]

null

web_scrapers/linkedin/local_drivers/__init__.py

kohlert/data_science

acfa37ec6e69beda6b7a1b5ae29373b03d32c0f2

[ "MIT" ]

null

from pkg_resources import resource_filename chrome_88_path = resource_filename(__name__, '/chromedriver88.exe') chrome_90_path = resource_filename(__name__, '/chromedriver90.exe')

36.2

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181

4

68

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1

0

null

0

1

0

6

399a57287e814737fb3a644cb6d91b5931e32bec

36

py

Python

backend/crud/__init__.py

Taym95/grocery-stores-home-delivery

7d5495ae89cbc594bb5178a5893ed86dccdca442

[ "MIT" ]

5

2020-03-26T00:02:35.000Z

2022-03-20T07:52:50.000Z

backend/crud/__init__.py

Taym95/grocery-stores-home-delivery

7d5495ae89cbc594bb5178a5893ed86dccdca442

[ "MIT" ]

87

2020-03-22T15:57:34.000Z

2020-06-12T07:39:21.000Z

backend/crud/__init__.py

Taym95/grocery-stores-home-delivery

7d5495ae89cbc594bb5178a5893ed86dccdca442

[ "MIT" ]

7

2020-03-22T16:02:26.000Z

2022-03-21T06:27:54.000Z

from .crud_stores import store_crud

18

35

0.861111

6

36

4.833333

0.833333

0

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0.90625

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1

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1

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6

39d6bb2a35bb1b426023d42c9de93ef16866b8bf

242

py

Python

mi/abc/chat.py

gitter-badger/Mi.py

ef6611c93c8a5237ec9d51ff89e845b85771e070

[ "MIT" ]

13

2021-09-14T02:47:23.000Z

2022-02-27T16:48:09.000Z

mi/abc/chat.py

gitter-badger/Mi.py

ef6611c93c8a5237ec9d51ff89e845b85771e070

[ "MIT" ]

62

2021-08-28T10:56:55.000Z

2022-03-30T06:47:28.000Z

mi/abc/chat.py

gitter-badger/Mi.py

ef6611c93c8a5237ec9d51ff89e845b85771e070

[ "MIT" ]

3

2021-12-23T20:10:57.000Z

2022-03-30T13:19:49.000Z

from abc import ABC, abstractmethod class AbstractChat(ABC): @abstractmethod async def send(self) -> 'AbstractChatContent': pass class AbstractChatContent(ABC): @abstractmethod async def delete(self): pass

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null

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ffd2a46e6ffad741f9eff5635ad8ca5ac8c5916e

31

py

Python

ma_gym/envs/pong_duel/__init__.py

prasuchit/ma-gym

1b2e76452f3e124aa2b049a78fc4f9eaa383e986

[ "Apache-2.0" ]

310

2019-08-17T21:27:36.000Z

2022-03-28T16:47:21.000Z

ma_gym/envs/pong_duel/__init__.py

prasuchit/ma-gym

1b2e76452f3e124aa2b049a78fc4f9eaa383e986

[ "Apache-2.0" ]

26

2019-08-25T16:31:56.000Z

2022-03-31T17:50:30.000Z

ma_gym/envs/pong_duel/__init__.py

nekoaruku/ma-gym

1c94623571cb81298e8515c99fef70a2fee5df3d

[ "Apache-2.0" ]

63

2019-08-20T11:59:24.000Z

2022-03-06T17:35:50.000Z

from .pong_duel import PongDuel

31

0.870968

5

31

5.2

1

0

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1

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1

0

6

fff8913976f1573531ef1043ab166832d3f4f2c8

171

py

Python

bci_learning_studio/session/__init__.py

hellomoto-ai/bci-learning-studio

f37256bd0e2d85590ff258f14d70f09afcd9609f

[ "MIT" ]

null

bci_learning_studio/session/__init__.py

hellomoto-ai/bci-learning-studio

f37256bd0e2d85590ff258f14d70f09afcd9609f

[ "MIT" ]

13

2018-11-28T05:00:00.000Z

2019-01-07T04:06:37.000Z

bci_learning_studio/session/__init__.py

hellomoto-ai/bci-learning-studio

f37256bd0e2d85590ff258f14d70f09afcd9609f

[ "MIT" ]

null

__all__ = [ 'cursor_control', 'device_manager', ] from .cursor_control.main import main as cursor_control from .device_manager.main import main as device_manager

21.375

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null

1

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1

0

null

0

1

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6

0848fcb367bd393ec725bacaad8b8738f8a5f9ea

119

wsgi

Python

opengamedata.wsgi

opengamedata/opengamedata-server

985a4d54d2d7bcc463ad43f4f74a6551cbc7092c

[ "MIT" ]

null

opengamedata.wsgi

opengamedata/opengamedata-server

985a4d54d2d7bcc463ad43f4f74a6551cbc7092c

[ "MIT" ]

null

opengamedata.wsgi

opengamedata/opengamedata-server

985a4d54d2d7bcc463ad43f4f74a6551cbc7092c

[ "MIT" ]

null

import sys if not "/var/www/wsgi-bin" in sys.path: sys.path.append("/var/www/wsgi-bin") from app import application

29.75

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119

3.909091

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0.232558

0.302326

0

0.12605

119

4

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29.75

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true

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null

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1

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6

f2691bc9957f62a762820e665e66b4da85dc4771

112

py

Python

core/corefgraph/__init__.py

malv007/coreference-base

5fe41dda0da83a37a01220f8f0552a336f2294ef

[ "Apache-2.0" ]

13

2015-08-07T13:14:17.000Z

2021-11-08T10:33:51.000Z

core/corefgraph/__init__.py

malv007/coreference-base

5fe41dda0da83a37a01220f8f0552a336f2294ef

[ "Apache-2.0" ]

null

core/corefgraph/__init__.py

malv007/coreference-base

5fe41dda0da83a37a01220f8f0552a336f2294ef

[ "Apache-2.0" ]

6

2015-02-10T17:00:35.000Z

2021-08-04T17:46:13.000Z

# coding=utf-8 __author__ = 'Josu Bermudez <josu.bermudez@deusto.es>, Rodrigo Agerri <rodrigo.agerri@ehu.es>'

22.4

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null

0

6

f2b272109c96ee5b983faef7c8b4ca461b6c88aa

4,213

py

Python

tests/components/mazda/test_binary_sensor.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

tests/components/mazda/test_binary_sensor.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

24,710

2016-04-13T08:27:26.000Z

2020-03-02T12:59:13.000Z

tests/components/mazda/test_binary_sensor.py

MrDelik/core

93a66cc357b226389967668441000498a10453bb

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""The binary sensor tests for the Mazda Connected Services integration.""" from homeassistant.components.binary_sensor import BinarySensorDeviceClass from homeassistant.const import ATTR_DEVICE_CLASS, ATTR_FRIENDLY_NAME, ATTR_ICON from homeassistant.helpers import entity_registry as er from . import init_integration async def test_binary_sensors(hass): """Test creation of the binary sensors.""" await init_integration(hass) entity_registry = er.async_get(hass) # Driver Door state = hass.states.get("binary_sensor.my_mazda3_driver_door") assert state assert state.attributes.get(ATTR_FRIENDLY_NAME) == "My Mazda3 Driver Door" assert state.attributes.get(ATTR_ICON) == "mdi:car-door" assert state.attributes.get(ATTR_DEVICE_CLASS) == BinarySensorDeviceClass.DOOR assert state.state == "off" entry = entity_registry.async_get("binary_sensor.my_mazda3_driver_door") assert entry assert entry.unique_id == "JM000000000000000_driver_door" # Passenger Door state = hass.states.get("binary_sensor.my_mazda3_passenger_door") assert state assert state.attributes.get(ATTR_FRIENDLY_NAME) == "My Mazda3 Passenger Door" assert state.attributes.get(ATTR_ICON) == "mdi:car-door" assert state.attributes.get(ATTR_DEVICE_CLASS) == BinarySensorDeviceClass.DOOR assert state.state == "on" entry = entity_registry.async_get("binary_sensor.my_mazda3_passenger_door") assert entry assert entry.unique_id == "JM000000000000000_passenger_door" # Rear Left Door state = hass.states.get("binary_sensor.my_mazda3_rear_left_door") assert state assert state.attributes.get(ATTR_FRIENDLY_NAME) == "My Mazda3 Rear Left Door" assert state.attributes.get(ATTR_ICON) == "mdi:car-door" assert state.attributes.get(ATTR_DEVICE_CLASS) == BinarySensorDeviceClass.DOOR assert state.state == "off" entry = entity_registry.async_get("binary_sensor.my_mazda3_rear_left_door") assert entry assert entry.unique_id == "JM000000000000000_rear_left_door" # Rear Right Door state = hass.states.get("binary_sensor.my_mazda3_rear_right_door") assert state assert state.attributes.get(ATTR_FRIENDLY_NAME) == "My Mazda3 Rear Right Door" assert state.attributes.get(ATTR_ICON) == "mdi:car-door" assert state.attributes.get(ATTR_DEVICE_CLASS) == BinarySensorDeviceClass.DOOR assert state.state == "off" entry = entity_registry.async_get("binary_sensor.my_mazda3_rear_right_door") assert entry assert entry.unique_id == "JM000000000000000_rear_right_door" # Trunk state = hass.states.get("binary_sensor.my_mazda3_trunk") assert state assert state.attributes.get(ATTR_FRIENDLY_NAME) == "My Mazda3 Trunk" assert state.attributes.get(ATTR_ICON) == "mdi:car-back" assert state.attributes.get(ATTR_DEVICE_CLASS) == BinarySensorDeviceClass.DOOR assert state.state == "off" entry = entity_registry.async_get("binary_sensor.my_mazda3_trunk") assert entry assert entry.unique_id == "JM000000000000000_trunk" # Hood state = hass.states.get("binary_sensor.my_mazda3_hood") assert state assert state.attributes.get(ATTR_FRIENDLY_NAME) == "My Mazda3 Hood" assert state.attributes.get(ATTR_ICON) == "mdi:car" assert state.attributes.get(ATTR_DEVICE_CLASS) == BinarySensorDeviceClass.DOOR assert state.state == "on" entry = entity_registry.async_get("binary_sensor.my_mazda3_hood") assert entry assert entry.unique_id == "JM000000000000000_hood" async def test_electric_vehicle_binary_sensors(hass): """Test sensors which are specific to electric vehicles.""" await init_integration(hass, electric_vehicle=True) entity_registry = er.async_get(hass) # Plugged In state = hass.states.get("binary_sensor.my_mazda3_plugged_in") assert state assert state.attributes.get(ATTR_FRIENDLY_NAME) == "My Mazda3 Plugged In" assert state.attributes.get(ATTR_DEVICE_CLASS) == BinarySensorDeviceClass.PLUG assert state.state == "on" entry = entity_registry.async_get("binary_sensor.my_mazda3_plugged_in") assert entry assert entry.unique_id == "JM000000000000000_ev_plugged_in"

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0.51723

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0.035117

0.14835

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false

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1

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null

0

1

0

1

0

6

4b3fd6fe80a01be4af7e83b8432f7485b26280f4

23

py

Python

rpi_electronics/gpio/__init__.py

lab-coding-de/rpi-electronics

e64a9a8e51676c8d05e842e6e0eaaf081a9b15d1

[ "MIT" ]

null

rpi_electronics/gpio/__init__.py

lab-coding-de/rpi-electronics

e64a9a8e51676c8d05e842e6e0eaaf081a9b15d1

[ "MIT" ]

null

rpi_electronics/gpio/__init__.py

lab-coding-de/rpi-electronics

e64a9a8e51676c8d05e842e6e0eaaf081a9b15d1

[ "MIT" ]

null

from .lcd20x4 import *

11.5

22

0.73913

3

23

5.666667

1

0

0.157895

0.173913

23

1

23

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true

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1

0

1

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1

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null

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1

0

null

0

1

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1

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1

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6

299e06925cf5c166e729759b7f70718e6f3ee079

77

py

Python

TaichiGAME/collision/algorithm/__init__.py

erizmr/TaichiGAME

db6258d5fd89b4afef9f3944337ed010eb75e246

[ "MIT" ]

37

2021-12-30T02:03:11.000Z

2022-03-21T11:37:52.000Z

TaichiGAME/collision/algorithm/__init__.py

maksyuki/TaichiGame

647d08d3d31b209314ec0dfec5270c565b2f6a61

[ "MIT" ]

2

2022-01-09T13:04:04.000Z

2022-01-11T06:47:43.000Z

TaichiGAME/collision/algorithm/__init__.py

maksyuki/TaichiGame

647d08d3d31b209314ec0dfec5270c565b2f6a61

[ "MIT" ]

2

2022-01-03T06:52:23.000Z

2022-01-11T06:31:30.000Z

from .clip import * from .gjk import * from .mpr import * from .sat import *

15.4

19

0.688312

12

77

4.416667

0.5

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0

0.207792

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4

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19.25

0.868852

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true

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0

null

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1

0

1

0

1

0

6

29b608cd08f26837c06e3c1036c1a752ca041b4c

17

py

Python

packageupdater.py

adrian-wang/spark-package-maker

409f5a17c7b6f1bf4e36a78328e72022a2e77304

[ "Apache-2.0" ]

2

2018-08-15T17:50:04.000Z

2019-04-27T17:20:37.000Z

packageupdater.py

adrian-wang/spark-package-maker

409f5a17c7b6f1bf4e36a78328e72022a2e77304

[ "Apache-2.0" ]

2

2018-06-27T02:34:11.000Z

2018-08-16T14:51:56.000Z

packageupdater.py

adrian-wang/spark-package-maker

409f5a17c7b6f1bf4e36a78328e72022a2e77304

[ "Apache-2.0" ]

null

a = {1,3,4,6,67}

8.5

16

0.411765

6

17

1.166667

1

0

0.428571

0.176471

17

1

17

0.071429

0

1

0

false

0

1

null

0

1

0

1

0

1

0

null

0

6

29f853c660095ab4c83f48a73508b046644b98f4

46

py

Python

allennlp/training/__init__.py

unendin/allennlp

0dcbaea6dbc6cc43e24a3564d6d37f8a1421484c

[ "Apache-2.0" ]

21

2019-03-11T13:39:05.000Z

2021-11-02T11:43:32.000Z

allennlp/training/__init__.py

unendin/allennlp

0dcbaea6dbc6cc43e24a3564d6d37f8a1421484c

[ "Apache-2.0" ]

8

2020-01-28T22:40:24.000Z

2021-08-25T15:30:18.000Z

allennlp/training/__init__.py

unendin/allennlp

0dcbaea6dbc6cc43e24a3564d6d37f8a1421484c

[ "Apache-2.0" ]

4

2019-11-04T07:21:49.000Z

2022-03-01T14:59:14.000Z

from allennlp.training.trainer import Trainer

23

45

0.869565

6

46

6.666667

0.833333

0

0.086957

46

1

46

0.952381

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true

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1

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1

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null

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null

0

1

0

1

0

1

0

6

4b017f68705f1408b75489fdf5e4e1e1e79264a2

947

py

Python

IBM Coding Questions in Interview.py

Soumyo-Pandey/Python-Coding-Question-For-Interview

a11ff33957297ea58f5295e94a55653ecce72878

[ "MIT" ]

null

IBM Coding Questions in Interview.py

Soumyo-Pandey/Python-Coding-Question-For-Interview

a11ff33957297ea58f5295e94a55653ecce72878

[ "MIT" ]

null

IBM Coding Questions in Interview.py

Soumyo-Pandey/Python-Coding-Question-For-Interview

a11ff33957297ea58f5295e94a55653ecce72878

[ "MIT" ]

null

## Find the number of Cells in Excel Sheet. Que="A10:C8" p=Que.split(":") a=p[0][0] b=p[1][0] c=p[0][1:] d=p[1][1:] if (a == b and c == d): print("Invalid") else: m = abs(int(c)-int(d))+1 n = abs(ord(a)-ord(b))+1 print(m*n) ## Second Code Que="B10:F20" p=Que.split(":") a=p[0][0] b=p[1][0] c=p[0][1:] d=p[1][1:] if (a == b and c == d): print("Invalid") else: m = abs(int(c)-int(d))+1 n = abs(ord(a)-ord(b))+1 print(m*n) ##Third Program Que="A1:A2" p=Que.split(":") a=p[0][0] b=p[1][0] c=p[0][1:] d=p[1][1:] if (a == b and c == d): print("Invalid") else: m = abs(int(c)-int(d))+1 n = abs(ord(a)-ord(b))+1 print(m*n) ##Fourth Program Que="A1:A1" p=Que.split(":") a=p[0][0] b=p[1][0] c=p[0][1:] d=p[1][1:] if (a == b and c == d): print("Invalid") else: m = abs(int(c)-int(d))+1 n = abs(ord(a)-ord(b))+1 print(m*n)

13.338028

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0.772093

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0.257656

947

71

45

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false

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0

null

0

1

0

1

0

null

0

6

4b0196905e294304a5530ad5eae70f69bb6752c2

90

py

Python

trchime/__init__.py

yatorho/trchime

503acd1309b6c2e44c1a270266f4479bdcfdd804

[ "Apache-2.0" ]

null

trchime/__init__.py

yatorho/trchime

503acd1309b6c2e44c1a270266f4479bdcfdd804

[ "Apache-2.0" ]

null

trchime/__init__.py

yatorho/trchime

503acd1309b6c2e44c1a270266f4479bdcfdd804

[ "Apache-2.0" ]

null

from .core import * from .core.initial import * from . import random from . import nn

10

27

0.7

13

90

4.846154

0.461538

0.253968

0

0.222222

90

8

28

11.25

0.9

0

1

0

true

0

1

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1

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1

0

null

1

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1

0

null

0

1

0

1

0

1

0

6

4b0917862dfefa0b5941d57da526e2c8f9340f24

19,779

py

Python

model.py

aliborji/ShapeDefence

92da19bb195b5161d997f6ee1cc777b07a714f6f

[ "MIT" ]

null

model.py

aliborji/ShapeDefence

92da19bb195b5161d997f6ee1cc777b07a714f6f

[ "MIT" ]

1

2022-03-12T00:40:21.000Z

model.py

aliborji/ShapeDefense

92da19bb195b5161d997f6ee1cc777b07a714f6f

[ "MIT" ]

null

from lib import * from image_transform import ImageTransform from config import * from utils import make_datapath_list, train_model, load_model from dataset import MyDataset, Dataset_MNIST, Dataset_FashionMNIST, DogsDataset, folderDB, Dataset_CIFAR10 import torch.nn as nn from torchvision import transforms, datasets, models from torch.utils.data import Dataset, DataLoader import pandas as pd from os.path import isfile, join, abspath, exists, isdir, expanduser import os from torch.optim import lr_scheduler from time import time def model_dispatcher(whichModel, *argv): if whichModel.lower() == 'mnist': net, dataloader_dict, criterior, optimizer = build_model_mnist(argv[0]) elif whichModel.lower() == 'fashionmnist': net, dataloader_dict, criterior, optimizer = build_model_fashion_mnist(argv[0]) elif whichModel.lower() == 'dogbreeds': net, dataloader_dict, criterior, optimizer = build_model_dogs(*argv[:3]) elif whichModel.lower() == 'dogvscat': net, dataloader_dict, criterior, optimizer = build_model_dog_cat(*argv) elif whichModel.lower() in ['gtsrb', 'icons', 'sketch', 'imagenette', 'tinyimagenet']: net, dataloader_dict, criterior, optimizer = build_model_resNet(*argv) elif whichModel.lower() == 'cifar10': net, dataloader_dict, criterior, optimizer = build_model_resNet_CIFAR10(*argv) return net, dataloader_dict, criterior, optimizer # Binary network used for dog vs cat classification class Net(nn.Module): def __init__(self, net_type): super(Net, self).__init__() if net_type == 'rgb': self.conv1 = nn.Conv2d(3, 32, 3) elif net_type == 'edge': self.conv1 = nn.Conv2d(1, 32, 3) else: # rgb + edge self.conv1 = nn.Conv2d(4, 32, 3) self.conv2 = nn.Conv2d(32, 64, 3) self.conv3 = nn.Conv2d(64, 128, 3) self.conv4 = nn.Conv2d(128, 128, 3) self.dropout = nn.Dropout(p=0.5) self.fc1 = nn.Linear(128*7*7, 512) self.fc2 = nn.Linear(512, 2) def forward(self, x): x = self.conv1(x) x = F.relu(x) x = F.max_pool2d(x, (2, 2)) x = self.conv2(x) x = F.relu(x) x = F.max_pool2d(x, (2, 2)) x = self.conv3(x) x = F.relu(x) x = F.max_pool2d(x, (2, 2)) x = self.conv4(x) x = F.relu(x) x = F.max_pool2d(x, (2, 2)) x = x.view(-1, self.num_flat_features(x)) x = self.dropout(x) x = F.relu(self.fc1(x)) x = F.softmax(self.fc2(x)) return x def num_flat_features(self, x): size = x.size()[1:] num_features = 1 for s in size: num_features *= s return num_features def build_model_dog_cat(net_type): # import pdb; pdb.set_trace() train_list = make_datapath_list("train") val_list = make_datapath_list("val") WIDTH = 150 HEIGHT = 150 MEAN = (1./255,1./255,1./255) STD = (1.0,1.0,1.0) # Create dataset objects train_dataset = MyDataset(train_list, ImageTransform((HEIGHT, WIDTH), MEAN, STD), phase='train', net_type=net_type) val_dataset = MyDataset(val_list, ImageTransform((HEIGHT, WIDTH), MEAN, STD), phase='val', net_type=net_type) # Create dataloader objects train_dataloader = torch.utils.data.DataLoader(train_dataset, BATCH_SIZE, shuffle=True) val_dataloader = torch.utils.data.DataLoader(val_dataset, BATCH_SIZE, shuffle=False) dataloader_dict = {'train': train_dataloader, 'val': val_dataloader} # Build model net = Net(net_type) print(net) # Loss criterior = nn.CrossEntropyLoss() # Optimizer params = net.parameters() # optimizer = optim.RMSprop(params, lr=1e-4) optimizer = optim.Adam(params, lr=1e-4) return net, dataloader_dict, criterior, optimizer # LeNet Model definition class MNIST_Net(nn.Module): def __init__(self, net_type): super(MNIST_Net, self).__init__() if net_type in ['gray', 'edge']: self.conv1 = nn.Conv2d(1, 10, kernel_size=5) else: # gray + edge self.conv1 = nn.Conv2d(2, 10, kernel_size=5) self.conv2 = nn.Conv2d(10, 20, kernel_size=5) self.conv2_drop = nn.Dropout2d() self.fc1 = nn.Linear(320, 50) self.fc2 = nn.Linear(50, 10) def forward(self, x): x = F.relu(F.max_pool2d(self.conv1(x), 2)) x = F.relu(F.max_pool2d(self.conv2_drop(self.conv2(x)), 2)) x = x.view(-1, 320) x = F.relu(self.fc1(x)) x = F.dropout(x, training=self.training) x = self.fc2(x) return x#F.log_softmax(x, dim=1) # LeNet Model definition class MNIST_Net_2CH_INPUT(nn.Module): def __init__(self, net_type): super(MNIST_Net, self).__init__() if net_type in ['gray', 'edge']: self.conv1 = nn.Conv2d(1, 10, kernel_size=5) else: # gray + edge self.conv1 = nn.Conv2d(2, 10, kernel_size=5) self.conv2 = nn.Conv2d(10, 20, kernel_size=5) self.conv2_drop = nn.Dropout2d() self.fc1 = nn.Linear(320, 50) self.fc2 = nn.Linear(50, 10) def forward(self, gray, edge): edge.requires_grad = False x = torch.cat((gray, edge),dim=0) x = F.relu(F.max_pool2d(self.conv1(x), 2)) x = F.relu(F.max_pool2d(self.conv2_drop(self.conv2(x)), 2)) x = x.view(-1, 320) x = F.relu(self.fc1(x)) x = F.dropout(x, training=self.training) x = self.fc2(x) return x#F.log_softmax(x, dim=1) def build_model_mnist(net_type): # import pdb; pdb.set_trace() train_list = make_datapath_list("train") val_list = make_datapath_list("val") # Create dataset objects train_dataset = Dataset_MNIST(phase='train', net_type=net_type) val_dataset = Dataset_MNIST(phase='val', net_type=net_type) # Create dataloader objects train_dataloader = torch.utils.data.DataLoader(train_dataset, batch_size=100 , shuffle=True) val_dataloader = torch.utils.data.DataLoader(val_dataset, batch_size=100, shuffle=False) dataloader_dict = {'train': train_dataloader, 'val': val_dataloader} # Build model net = MNIST_Net(net_type) print(net) # Loss criterior = nn.CrossEntropyLoss() # Optimizer params = net.parameters() # optimizer = optim.RMSprop(params, lr=1e-4) optimizer = optim.Adam(params, lr=1e-4) # Training model # train_model(net, dataloader_dict, criterior, optimizer, NUM_EPOCHS) return net, dataloader_dict, criterior, optimizer def build_model_fashion_mnist(net_type): # import pdb; pdb.set_trace() train_list = make_datapath_list("train") val_list = make_datapath_list("val") # Create dataset objects train_dataset = Dataset_FashionMNIST(phase='train', net_type=net_type) val_dataset = Dataset_FashionMNIST(phase='val', net_type=net_type) # Create dataloader objects train_dataloader = torch.utils.data.DataLoader(train_dataset, batch_size=100, shuffle=True) val_dataloader = torch.utils.data.DataLoader(val_dataset, batch_size=100, shuffle=False) dataloader_dict = {'train': train_dataloader, 'val': val_dataloader} # Build model net = MNIST_Net(net_type) print(net) # Loss criterior = nn.CrossEntropyLoss() # Optimizer params = net.parameters() # optimizer = optim.RMSprop(params, lr=1e-4) optimizer = optim.Adam(params, lr=1e-4) # Training model # train_model(net, dataloader_dict, criterior, optimizer, NUM_EPOCHS) return net, dataloader_dict, criterior, optimizer def build_model_dogs(net_type, data_dir, inp_size): INPUT_SIZE = inp_size NUM_CLASSES = 16 # data_dir = './dog-breed-identification/' labels = pd.read_csv(osp.join(data_dir, 'labels.csv')) sample_submission = pd.read_csv(osp.join(data_dir, 'sample_submission.csv')) print(len(os.listdir(osp.join(data_dir, 'train'))), len(labels)) # import pdb; pdb.set_trace() selected_breed_list = list(labels.groupby('breed').count().sort_values(by='id', ascending=False).head(NUM_CLASSES).index) labels = labels[labels['breed'].isin(selected_breed_list)] labels['target'] = 1 # labels['rank'] = labels.groupby('breed').rank()['id'] labels_pivot = labels.pivot('id', 'breed', 'target').reset_index().fillna(0) num_train = int(labels_pivot.shape[0]*.8) train = labels_pivot[:num_train]# .sample(frac=0.8) valid = labels_pivot[num_train:] # import pdb; pdb.set_trace() # train = labels_pivot.sample(frac=0.8) # valid = labels_pivot[~labels_pivot['id'].isin(train['id'])] print(train.shape, valid.shape) normalize = transforms.Normalize( mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225] ) # ds_trans = transforms.Compose([transforms.Scale(224), # transforms.CenterCrop(224), # transforms.ToTensor(), # normalize]) ds_trans = transforms.Compose([ transforms.Resize((INPUT_SIZE, INPUT_SIZE)), transforms.ToTensor(), transforms.Normalize((0.3403, 0.3121, 0.3214), (0.2724, 0.2608, 0.2669)) ]) train_ds = DogsDataset(train, data_dir+'/traincrop/', data_dir+'/traincropedgesobel/', transform=ds_trans, net_type=net_type, inp_size=INPUT_SIZE) valid_ds = DogsDataset(valid, data_dir+'/traincrop/', data_dir+'/traincropedgesobel/', transform=ds_trans, net_type=net_type, inp_size=INPUT_SIZE) # test is over the validation set train_dataloader = DataLoader(train_ds, batch_size=4, shuffle=True, num_workers=4) val_dataloader = DataLoader(valid_ds, batch_size=4, shuffle=True, num_workers=4) dataloader_dict = {'train': train_dataloader, 'val': val_dataloader} # Build model resnet = models.resnet18(pretrained=False) # resnet = models.resnet18(pretrained=True) resnet.load_state_dict(torch.load(data_dir + '/resnet18-5c106cde.pth')) #resnet50-19c8e357.pth')) # import pdb; pdb.set_trace() if net_type == 'rgb': pass # resnet.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False) elif net_type == 'edge': # rgb_egde with torch.no_grad(): new_layer = nn.Conv2d(1, 64, kernel_size=7, stride=2, padding=3, bias=False) # new_layer.requires_grad = False new_layer.weight[:,0] = torch.mean(resnet.conv1.weight, 1)#[:,None] # resnet.conv1.weight = new_layer #nn.Conv2d(1, 64, kernel_size=7, stride=2, padding=3, bias=False) resnet.conv1 = new_layer else: # rgb + edge with torch.no_grad(): new_layer = nn.Conv2d(4, 64, kernel_size=7, stride=2, padding=3, bias=False) # new_layer.requires_grad = False new_layer.weight[:,:3] = resnet.conv1.weight.squeeze(1) new_layer.weight[:,3] = torch.mean(resnet.conv1.weight, 1)#[:,None] # resnet.conv1.weight = new_layer #nn.Conv2d(1, 64, kernel_size=7, stride=2, padding=3, bias=False) resnet.conv1 = new_layer # resnet.conv1 = nn.Conv2d(4, 64, kernel_size=7, stride=2, padding=3, bias=False) # freeze all model parameters # for param in resnet.parameters(): # param.requires_grad = False resnet.conv1.requires_grad = True # new final layer with 16 classes num_ftrs = resnet.fc.in_features resnet.fc = torch.nn.Linear(num_ftrs, NUM_CLASSES) criterion = torch.nn.CrossEntropyLoss() # optimizer = torch.optim.SGD([resnet.fc.parameters(), resnet.conv1.weight], lr=0.001, momentum=0.9) # YOU MAY WANT TO OPTIMIZE ALL PARAMETERS BY USING resnet.parameters() # optimizer = torch.optim.SGD(list(resnet.fc.parameters()) + list(resnet.conv1.parameters()), lr=0.001, momentum=0.9) optimizer = torch.optim.SGD(resnet.parameters(), lr=0.001, momentum=0.9) exp_lr_scheduler = lr_scheduler.StepLR(optimizer, step_size=7, gamma=0.1) # print(resnet) print('Model loaded ...') return resnet, dataloader_dict, criterion, optimizer#, exp_lr_scheduler def build_model_resNet(net_type, data_dir, inp_size, n_classes): # import pdb; pdb.set_trace() INPUT_SIZE = inp_size NUM_CLASSES = n_classes transform = transforms.Compose([ transforms.Resize((INPUT_SIZE, INPUT_SIZE)), transforms.ToTensor(), transforms.Normalize((0.3403, 0.3121, 0.3214), (0.2724, 0.2608, 0.2669)) ]) trainset = folderDB( root_dir='.', train=True, transform=transform, net_type=net_type, base_folder=data_dir) testset = folderDB( root_dir='.', train=False, transform=transform, net_type=net_type, base_folder=data_dir) trainloader = torch.utils.data.DataLoader( trainset, batch_size=128, shuffle=True, num_workers=2) testloader = torch.utils.data.DataLoader( testset, batch_size=128, shuffle=False, num_workers=2) dataloader_dict = {'train': trainloader, 'val': testloader} # Build model resnet = models.resnet18(pretrained=True) # import pdb; pdb.set_trace() if net_type == 'rgb': # new_layer = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False) # resnet.conv1 = new_layer pass # resnet.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False) elif net_type in ['edge', 'gray']: # rgb_egde with torch.no_grad(): new_layer = nn.Conv2d(1, 64, kernel_size=7, stride=2, padding=3, bias=False) # new_layer.requires_grad = False new_layer.weight[:,0] = torch.mean(resnet.conv1.weight, 1)#[:,None] # resnet.conv1.weight = new_layer #nn.Conv2d(1, 64, kernel_size=7, stride=2, padding=3, bias=False) resnet.conv1 = new_layer elif net_type == 'grayedge': # rgb + edge with torch.no_grad(): new_layer = nn.Conv2d(2, 64, kernel_size=7, stride=2, padding=3, bias=False) # new_layer.requires_grad = False new_layer.weight[:,0] = torch.mean(resnet.conv1.weight, 1)#[:,None] new_layer.weight[:,1] = torch.mean(resnet.conv1.weight, 1)#[:,None] # resnet.conv1.weight = new_layer #nn.Conv2d(1, 64, kernel_size=7, stride=2, padding=3, bias=False) resnet.conv1 = new_layer else: # rgb + edge with torch.no_grad(): new_layer = nn.Conv2d(4, 64, kernel_size=7, stride=2, padding=3, bias=False) # new_layer.requires_grad = False new_layer.weight[:,:3] = resnet.conv1.weight.squeeze(1) new_layer.weight[:,3] = torch.mean(resnet.conv1.weight, 1)#[:,None] # resnet.conv1.weight = new_layer #nn.Conv2d(1, 64, kernel_size=7, stride=2, padding=3, bias=False) resnet.conv1 = new_layer # resnet.conv1 = nn.Conv2d(4, 64, kernel_size=7, stride=2, padding=3, bias=False) # freeze all model parameters # for param in resnet.parameters(): # param.requires_grad = False resnet.conv1.requires_grad = True # new final layer with 16 classes num_ftrs = resnet.fc.in_features resnet.fc = torch.nn.Linear(num_ftrs, NUM_CLASSES) criterion = torch.nn.CrossEntropyLoss() # optimizer = torch.optim.SGD([resnet.fc.parameters(), resnet.conv1.weight], lr=0.001, momentum=0.9) optimizer = torch.optim.SGD(resnet.parameters(), lr=0.001, momentum=0.9) # optimizer = torch.optim.SGD(list(resnet.fc.parameters()) + list(resnet.conv1.parameters()), lr=0.001, momentum=0.9) exp_lr_scheduler = lr_scheduler.StepLR(optimizer, step_size=7, gamma=0.1) # print(resnet) print('Model loaded ...') return resnet, dataloader_dict, criterion, optimizer#, exp_lr_scheduler def build_model_resNet_CIFAR10(net_type='rgb', data_dir='', inp_size='32', n_classes=10): # import pdb; pdb.set_trace() INPUT_SIZE = inp_size NUM_CLASSES = 10 transform = transforms.Compose([ transforms.Resize((INPUT_SIZE, INPUT_SIZE)), transforms.ToTensor(), transforms.Normalize((0.3403, 0.3121, 0.3214), (0.2724, 0.2608, 0.2669)) ]) # import pdb; pdb.set_trace() train_list = make_datapath_list("train") val_list = make_datapath_list("val") # Create dataset objects train_dataset = Dataset_CIFAR10(phase='train', net_type=net_type, transform=transform) val_dataset = Dataset_CIFAR10(phase='val', net_type=net_type, transform=transform) # Create dataloader objects train_dataloader = torch.utils.data.DataLoader(train_dataset, batch_size=128, shuffle=True) val_dataloader = torch.utils.data.DataLoader(val_dataset, batch_size=128, shuffle=False) dataloader_dict = {'train': train_dataloader, 'val': val_dataloader} # Build model resnet = models.resnet18(pretrained=True) # import pdb; pdb.set_trace() if net_type == 'rgb': # new_layer = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False) # resnet.conv1 = new_layer pass # resnet.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False) elif net_type in ['edge', 'gray']: # rgb_egde with torch.no_grad(): new_layer = nn.Conv2d(1, 64, kernel_size=7, stride=2, padding=3, bias=False) # new_layer.requires_grad = False new_layer.weight[:,0] = torch.mean(resnet.conv1.weight, 1)#[:,None] # resnet.conv1.weight = new_layer #nn.Conv2d(1, 64, kernel_size=7, stride=2, padding=3, bias=False) resnet.conv1 = new_layer elif net_type == 'grayedge': # rgb + edge with torch.no_grad(): new_layer = nn.Conv2d(2, 64, kernel_size=7, stride=2, padding=3, bias=False) # new_layer.requires_grad = False new_layer.weight[:,0] = torch.mean(resnet.conv1.weight, 1)#[:,None] new_layer.weight[:,1] = torch.mean(resnet.conv1.weight, 1)#[:,None] # resnet.conv1.weight = new_layer #nn.Conv2d(1, 64, kernel_size=7, stride=2, padding=3, bias=False) resnet.conv1 = new_layer else: # rgb + edge with torch.no_grad(): new_layer = nn.Conv2d(4, 64, kernel_size=7, stride=2, padding=3, bias=False) # new_layer.requires_grad = False new_layer.weight[:,:3] = resnet.conv1.weight.squeeze(1) new_layer.weight[:,3] = torch.mean(resnet.conv1.weight, 1)#[:,None] # resnet.conv1.weight = new_layer #nn.Conv2d(1, 64, kernel_size=7, stride=2, padding=3, bias=False) resnet.conv1 = new_layer # resnet.conv1 = nn.Conv2d(4, 64, kernel_size=7, stride=2, padding=3, bias=False) # freeze all model parameters # for param in resnet.parameters(): # param.requires_grad = False resnet.conv1.requires_grad = True # new final layer with 16 classes num_ftrs = resnet.fc.in_features resnet.fc = torch.nn.Linear(num_ftrs, NUM_CLASSES) criterion = torch.nn.CrossEntropyLoss() # optimizer = torch.optim.SGD([resnet.fc.parameters(), resnet.conv1.weight], lr=0.001, momentum=0.9) optimizer = torch.optim.SGD(resnet.parameters(), lr=0.001, momentum=0.9) # optimizer = torch.optim.SGD(list(resnet.fc.parameters()) + list(resnet.conv1.parameters()), lr=0.001, momentum=0.9) exp_lr_scheduler = lr_scheduler.StepLR(optimizer, step_size=7, gamma=0.1) # print(resnet) print('Model loaded ...') return resnet, dataloader_dict, criterion, optimizer#, exp_lr_scheduler

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0.025494

0.805524

0.782971

0.748652

0.719725

0.707305

0.68941

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0.047007

0.224531

19,779

563

151

35.131439

0.75088

0.242934

0

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null

0

1

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null

0

6

d9a83f907a82f5f77382d05ac6fcac696e9728ac

11,177

py

Python

neat_panda/_set_operations.py

htp84/neat-panda

9c60ac467e799e92d9e7099eafc7c8440669288c

[ "MIT" ]

null

neat_panda/_set_operations.py

htp84/neat-panda

9c60ac467e799e92d9e7099eafc7c8440669288c

[ "MIT" ]

3

2019-03-18T20:20:25.000Z

2020-09-24T19:09:15.000Z

neat_panda/_set_operations.py

htp84/neat_panda

9c60ac467e799e92d9e7099eafc7c8440669288c

[ "MIT" ]

null

# -*- coding: utf-8 -*- from typing import Optional, List from dataclasses import dataclass import pandas as pd import pandas_flavor as pf from ._helpers import control_duplicates, control_value @pf.register_dataframe_method def difference(dataframe1, dataframe2) -> pd.DataFrame: """The set difference between dataframe1 (S) and dataframe2 (T), i.e. it returns those elements that are in dataframe1 but not in dataframe2. Formally S - T = {s|s ∈ S and s ∉ T}. If duplicates exists in either dataframe they are dropped and a UserWarning is issued. Does not alter the original DataFrame. Parameters ---------- dataframe1 : pd.DataFrame\n dataframe2 : pd.DataFrame\n Returns ------- pandas DataFrame\n The set difference between dataframe1 and dataframe2 Raises ------ ValueError\n Raises ValueError if the columns in datframe1 and dataframe2 are not identical. """ return SetOperations(dataframe1, dataframe2).difference() @pf.register_dataframe_method def symmetric_difference( dataframe1, dataframe2, dataframe_names: Optional[List[str]] = None ) -> pd.DataFrame: """The symmetric set difference between dataframe1 (S) and dataframe2 (T). It is the same as the union of the set difference between dataframe1 and dataframe2 and the set difference between dataframe2 and dataframe1. Formally A ⊕ B = (A - B) ∪ (B - A). If duplicates exists in either dataframe they are dropped and a UserWarning is issued. Does not alter the original DataFrame. Parameters ---------- dataframe1 : pd.DataFrame\n dataframe2 : pd.DataFrame\n dataframe_names : Optional[List[str]], default None\n The names given in the list is inserted in the returned dataframe in a column called 'original_dataframe'. The purpose of this column is to make it easier to track differences between the two dataframes. Returns ------- pandas DataFrame\n The set symmetric difference between dataframe1 and dataframe2 Raises ------ ValueError\n Raises ValueError if the columns in datframe1 and dataframe2 are not identical. ValueError\n Raises ValueError if the dataframe_names parameter is used and the length of the passed list is not 2. Example ------- ```python import pandas as pd import neat_panda print(df1) country continent year actual 0 Sweden Europe 2018 1 1 Sweden Europe 2019 2 2 Denmark Not known 2018 3 print(df2) country continent year actual 0 Sweden Europe 2018 1 1 Denmark Not known 2018 3 2 Iceleand Europe 2019 0 df3 = df1.symmetric_difference(df2, dataframe_names=["df1", "df2"]) print(df3) country continent year actual original_dataframe 0 Sweden Europe 2019 2 df1 1 Denmark Not known 2018 3 df1 2 Sweden Europe 2012 2 df2 3 Finland Scandinavia 2018 3 df2 ``` """ return SetOperations(dataframe1, dataframe2).symmetric_difference( dataframe_names=dataframe_names ) @pf.register_dataframe_method def intersection(dataframe1, dataframe2) -> pd.DataFrame: """The set intersection between dataframe1 (S) and dataframe2 (T), i.e. it returns the elements that are both in dataframe1 and dataframe2. Formally S ∩ T = {s|s ∈ S and s ∈ T}. If duplicates exists in either dataframe they are dropped and a UserWarning is issued. Does not alter the original DataFrame. Parameters ---------- dataframe1 : pd.DataFrame\n dataframe2 : pd.DataFrame\n Returns ------- pandas DataFrame\n The set intersection between dataframe1 and dataframe2 Raises ------ ValueError\n Raises ValueError if the columns in datframe1 and dataframe2 are not identical. """ return SetOperations(dataframe1, dataframe2).intersection() @pf.register_dataframe_method def union(dataframe1, dataframe2) -> pd.DataFrame: """The set union between dataframe1 (S) and dataframe2 (T), i.e. it returns the elements that are both in dataframe1 and dataframe2. Formally S ∩ T = {s|s ∈ S and s ∈ T}. If duplicates exists in either dataframe they are dropped and a UserWarning is issued. Does not alter the original DataFrame. Syntactic sugar for the pandas dataframe append method. Parameters ---------- dataframe1 : pd.DataFrame\n dataframe2 : pd.DataFrame\n Returns ------- pandas DataFrame\n The set difference between dataframe1 and dataframe2 Raises ------ ValueError\n Raises ValueError if the columns in datframe1 and dataframe2 are not identical. Example ------- ```python import panda as pd import neat_panda print(df1) country continent year actual 0 Sweden Europe 2018 1 1 Denmark Not known 2018 3 2 Iceleand Europe 2019 0 print(df2) country continent year actual 0 Sweden Europe 2020 1 1 Denmark Not known 2020 3 df3 = df1.union(df2) print(df3) country continent year actual 0 Sweden Europe 2018 1 1 Denmark Not known 2018 3 2 Iceleand Europe 2019 0 3 Sweden Europe 2020 1 4 Denmark Not known 2020 3 ``` """ return SetOperations(dataframe1, dataframe2).union() @dataclass class SetOperations: dataframe1: pd.DataFrame dataframe2: pd.DataFrame @control_value @control_duplicates def difference(self) -> pd.DataFrame: """The set difference between dataframe1 (S) and dataframe2 (T), i.e. it returns those elements that are in dataframe1 but not in dataframe2. Formally S - T = {s|s ∈ S and s ∉ T}. If duplicates exists in either dataframe they are dropped and a UserWarning is issued. Does not alter the original DataFrame. Parameters ---------- dataframe1 : pd.DataFrame\n dataframe2 : pd.DataFrame\n The code is copied from the users WeNYoBen answer to the question "Python Pandas - Find difference between two data frames" at [StackOverflow](https://stackoverflow.com/questions/48647534/python-pandas-find-difference-between-two-data-frames) Returns ------- pandas DataFrame\n The set difference between dataframe1 and dataframe2 Raises ------ ValueError\n Raises ValueError if the columns in datframe1 and dataframe2 are not identical. """ return pd.concat( [self.dataframe1, self.dataframe2, self.dataframe2] ).drop_duplicates(keep=False) @control_value @control_duplicates def symmetric_difference( self, dataframe_names: Optional[List[str]] = None ) -> pd.DataFrame: """The symmetric set difference between dataframe1 (S) and dataframe2 (T). It is the same as the union of the set difference between dataframe1 and dataframe2 and the set difference between dataframe2 and dataframe1. Formally A ⊕ B = (A - B) ∪ (B - A). If duplicates exists in either dataframe they are dropped and a UserWarning is issued. Does not alter the original DataFrame. Parameters ---------- dataframe1 : pd.DataFrame\n dataframe2 : pd.DataFrame\n dataframe_names : Optional[List[str]], default None\n The names given in the list is inserted in the returned dataframe in a column called 'original_dataframe'. The purpose of this column is to make it easier to track differences between the two dataframes. Returns ------- pandas DataFrame\n The set symmetric difference between dataframe1 and dataframe2 Raises ------ ValueError\n Raises ValueError if the columns in datframe1 and dataframe2 are not identical. ValueError\n Raises ValueError if the dataframe_names parameter is used and the length of the passed list is not 2. """ if dataframe_names and len(dataframe_names) != 2: raise ValueError("Only two dataframe names") df1 = self.difference() self._swap_dataframes() df2 = self.difference() if dataframe_names: df1["original_dataframe"] = dataframe_names[0] df2["original_dataframe"] = dataframe_names[1] return pd.concat([df1, df2]).reset_index(drop=True) def _swap_dataframes(self): temp = self.dataframe1.copy() self.dataframe1 = self.dataframe2.copy() self.dataframe2 = temp.copy() @control_value @control_duplicates def intersection(self) -> pd.DataFrame: """The set intersection between dataframe1 (S) and dataframe2 (T), i.e. it returns the elements that are both in dataframe1 and dataframe2. Formally S ∩ T = {s|s ∈ S and s ∈ T}. If duplicates exists in either dataframe they are dropped and a UserWarning is issued. Does not alter the original DataFrame. Parameters ---------- dataframe1 : pd.DataFrame\n dataframe2 : pd.DataFrame\n Returns ------- pandas DataFrame\n The set intersection between dataframe1 and dataframe2 Raises ------ ValueError\n Raises ValueError if the columns in datframe1 and dataframe2 are not identical. """ return self.dataframe1.merge(right=self.dataframe2, how="inner").reset_index( drop=True ) @control_value @control_duplicates def union(self) -> pd.DataFrame: """The set union between dataframe1 (S) and dataframe2 (T), i.e. it returns the elements that are both in dataframe1 and dataframe2. Formally S ∩ T = {s|s ∈ S and s ∈ T}. If duplicates exists in either dataframe they are dropped and a UserWarning is issued. Does not alter the original DataFrame. Syntactic sugar for the pandas dataframe append method. Parameters ---------- dataframe1 : pd.DataFrame\n dataframe2 : pd.DataFrame\n Returns ------- pandas DataFrame\n The set difference between dataframe1 and dataframe2 Raises ------ ValueError\n Raises ValueError if the columns in datframe1 and dataframe2 are not identical. """ return self.dataframe1.append(self.dataframe2).reset_index(drop=True) if __name__ == "__main__": pass

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d9ab3b2b3e98ddd263e5d678aa012cca6160eea6

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py

Python

test/integration/plugins/solidfire/TestSnapshots.py

Codegass/cloudstack

71056191f2bdad4be1a7eaf9bb73a7dcee3516f2

[ "Apache-2.0" ]

1,131

2015-01-08T18:59:06.000Z

2022-03-29T11:31:10.000Z

test/integration/plugins/solidfire/TestSnapshots.py

Codegass/cloudstack

71056191f2bdad4be1a7eaf9bb73a7dcee3516f2

[ "Apache-2.0" ]

5,908

2015-01-13T15:28:37.000Z

2022-03-31T20:31:07.000Z

test/integration/plugins/solidfire/TestSnapshots.py

Codegass/cloudstack

71056191f2bdad4be1a7eaf9bb73a7dcee3516f2

[ "Apache-2.0" ]

1,083

2015-01-05T01:16:52.000Z

2022-03-31T12:14:10.000Z

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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 logging import random import SignedAPICall import time from solidfire.factory import ElementFactory from util import sf_util # All tests inherit from cloudstackTestCase from marvin.cloudstackTestCase import cloudstackTestCase from nose.plugins.attrib import attr # Import Integration Libraries # base - contains all resources as entities and defines create, delete, list operations on them from marvin.lib.base import Account, DiskOffering, ServiceOffering, Snapshot, StoragePool, Template, User, VirtualMachine, Volume # common - commonly used methods for all tests are listed here from marvin.lib.common import get_domain, get_template, get_zone, list_volumes, list_snapshots # utils - utility classes for common cleanup, external library wrappers, etc. from marvin.lib.utils import cleanup_resources, wait_until # Prerequisites: # Only one zone # Only one pod # Only one cluster # # Running the tests: # Change the "hypervisor_type" variable to control which hypervisor type to test. # If using KVM, set the Global Setting "kvm.snapshot.enabled" equal to true. class TestData(): # constants account = "account" capacityBytes = "capacitybytes" capacityIops = "capacityiops" clusterId = "clusterId" computeOffering = "computeoffering" diskName = "diskname" diskOffering = "diskoffering" domainId = "domainId" hypervisor = "hypervisor" kvm = "kvm" mvip = "mvip" password = "password" port = "port" primaryStorage = "primarystorage" provider = "provider" scope = "scope" solidFire = "solidfire" storageTag = "SolidFire_SAN_1" tags = "tags" url = "url" user = "user" username = "username" virtualMachine = "virtualmachine" vmWare = "vmware" volume_1 = "volume_1" volume_2 = "volume_2" xenServer = "xenserver" zoneId = "zoneId" # modify to control which hypervisor type to test hypervisor_type = xenServer def __init__(self): self.testdata = { TestData.solidFire: { TestData.mvip: "10.117.78.225", TestData.username: "admin", TestData.password: "admin", TestData.port: 443, TestData.url: "https://10.117.78.225:443" }, TestData.primaryStorage: { "name": "SolidFire-%d" % random.randint(0, 100), TestData.scope: "ZONE", "url": "MVIP=10.117.78.225;SVIP=10.117.94.225;" + "clusterAdminUsername=admin;clusterAdminPassword=admin;" + "clusterDefaultMinIops=10000;clusterDefaultMaxIops=15000;" + "clusterDefaultBurstIopsPercentOfMaxIops=1.5;", TestData.provider: "SolidFire", TestData.tags: TestData.storageTag, TestData.capacityIops: 4500000, TestData.capacityBytes: 2251799813685248, TestData.hypervisor: "Any" }, TestData.account: { "email": "test@test.com", "firstname": "John", "lastname": "Doe", "username": "test", "password": "test" }, TestData.user: { "email": "user@test.com", "firstname": "Jane", "lastname": "Doe", TestData.username: "testuser", TestData.password: "password" }, TestData.virtualMachine: { "name": "TestVM", "displayname": "Test VM" }, TestData.computeOffering: { "name": "SF_CO_1", "displaytext": "SF_CO_1 (Min IOPS = 10,000; Max IOPS = 15,000)", "cpunumber": 1, "cpuspeed": 100, "memory": 128, "storagetype": "shared", "customizediops": False, "miniops": "10000", "maxiops": "15000", "hypervisorsnapshotreserve": 200, "tags": "SolidFire_SAN_1" }, TestData.diskOffering: { "name": "SF_DO_1", "displaytext": "SF_DO_1 (Min IOPS = 300; Max IOPS = 500)", "disksize": 128, "customizediops": False, "miniops": 300, "maxiops": 500, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" }, TestData.volume_1: { TestData.diskName: "test-volume", }, TestData.volume_2: { TestData.diskName: "test-volume-2", }, TestData.zoneId: 1, TestData.domainId: 1, TestData.url: "10.117.40.114" } class TestSnapshots(cloudstackTestCase): _should_be_zero_volume_access_groups_in_list_err_msg = "There shouldn't be any volume access groups in this list." _should_be_zero_snapshots_in_list_err_msg = "There shouldn't be any snapshots in this list." _should_only_be_one_snapshot_in_list_err_msg = "There should only be one snapshot in this list." _should_be_two_snapshots_in_list_err_msg = "There should be two snapshots in this list." _should_be_three_snapshots_in_list_err_msg = "There should be three snapshots in this list." _should_be_zero_volumes_in_list_err_msg = "There shouldn't be any volumes in this list." _should_only_be_one_volume_in_list_err_msg = "There should only be one volume in this list." _should_be_two_volumes_in_list_err_msg = "There should be two volumes in this list." _should_be_three_volumes_in_list_err_msg = "There should be three volumes in this list." _should_be_four_volumes_in_list_err_msg = "There should be four volumes in this list." _should_be_five_volumes_in_list_err_msg = "There should be five volumes in this list." _should_be_six_volumes_in_list_err_msg = "There should be six volumes in this list." _should_be_seven_volumes_in_list_err_msg = "There should be seven volumes in this list." _should_be_five_items_in_list_err_msg = "There should be five items in this list." _should_be_six_items_in_list_err_msg = "There should be six items in this list." _should_be_seven_items_in_list_err_msg = "There should be seven items in this list." _sf_account_id_should_be_non_zero_int_err_msg = "The SolidFire account ID should be a non-zero integer." @classmethod def setUpClass(cls): # Set up API client testclient = super(TestSnapshots, cls).getClsTestClient() cls.apiClient = testclient.getApiClient() cls.configData = testclient.getParsedTestDataConfig() cls.dbConnection = testclient.getDbConnection() cls.testdata = TestData().testdata # Set up SolidFire connection solidfire = cls.testdata[TestData.solidFire] cls.sfe = ElementFactory.create(solidfire[TestData.mvip], solidfire[TestData.username], solidfire[TestData.password]) # Get Resources from Cloud Infrastructure cls.zone = get_zone(cls.apiClient, zone_id=cls.testdata[TestData.zoneId]) cls.template = get_template(cls.apiClient, cls.zone.id, hypervisor=TestData.hypervisor_type) cls.domain = get_domain(cls.apiClient, cls.testdata[TestData.domainId]) # Create test account cls.account = Account.create( cls.apiClient, cls.testdata["account"], admin=1 ) # Set up connection to make customized API calls cls.user = User.create( cls.apiClient, cls.testdata["user"], account=cls.account.name, domainid=cls.domain.id ) url = cls.testdata[TestData.url] api_url = "http://" + url + ":8080/client/api" userkeys = User.registerUserKeys(cls.apiClient, cls.user.id) cls.cs_api = SignedAPICall.CloudStack(api_url, userkeys.apikey, userkeys.secretkey) primarystorage = cls.testdata[TestData.primaryStorage] cls.primary_storage = StoragePool.create( cls.apiClient, primarystorage, scope=primarystorage[TestData.scope], zoneid=cls.zone.id, provider=primarystorage[TestData.provider], tags=primarystorage[TestData.tags], capacityiops=primarystorage[TestData.capacityIops], capacitybytes=primarystorage[TestData.capacityBytes], hypervisor=primarystorage[TestData.hypervisor] ) cls.compute_offering = ServiceOffering.create( cls.apiClient, cls.testdata[TestData.computeOffering] ) cls.disk_offering = DiskOffering.create( cls.apiClient, cls.testdata[TestData.diskOffering] ) # Resources that are to be destroyed cls._cleanup = [ cls.compute_offering, cls.disk_offering, cls.user, cls.account ] @classmethod def tearDownClass(cls): try: cleanup_resources(cls.apiClient, cls._cleanup) cls.primary_storage.delete(cls.apiClient) sf_util.purge_solidfire_volumes(cls.sfe) except Exception as e: logging.debug("Exception in tearDownClass(cls): %s" % e) def setUp(self): self.cleanup = [] def tearDown(self): cleanup_resources(self.apiClient, self.cleanup) def test_01_create_volume_snapshot_using_sf_snapshot(self): if TestData.hypervisor_type == TestData.xenServer: sf_util.set_supports_resign(True, self.dbConnection) virtual_machine = VirtualMachine.create( self.apiClient, self.testdata[TestData.virtualMachine], accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=self.template.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_1_root_volume = list_volumes_response[0] vm_1_root_volume_name = vm_1_root_volume.name sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestSnapshots._sf_account_id_should_be_non_zero_int_err_msg) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(volume_id=sf_volume.volume_id).snapshots sf_util.check_list(sf_snapshots, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) primary_storage_db_id = self._get_cs_storage_pool_db_id(self.primary_storage) vol_snap_1 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 1, TestSnapshots._should_only_be_one_snapshot_in_list_err_msg) vol_snap_2 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 2, TestSnapshots._should_be_two_snapshots_in_list_err_msg) vol_snap_3 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 3, TestSnapshots._should_be_three_snapshots_in_list_err_msg) self._delete_and_test_snapshot(vol_snap_2) self._delete_and_test_snapshot(vol_snap_1) self._delete_and_test_snapshot(vol_snap_3) vol_snap_1 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 1, TestSnapshots._should_only_be_one_snapshot_in_list_err_msg) vol_snap_2 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 2, TestSnapshots._should_be_two_snapshots_in_list_err_msg) virtual_machine.delete(self.apiClient, True) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) self._delete_and_test_snapshot(vol_snap_1) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) self._delete_and_test_snapshot(vol_snap_2) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 0, self, TestSnapshots._should_be_zero_volumes_in_list_err_msg) virtual_machine = VirtualMachine.create( self.apiClient, self.testdata[TestData.virtualMachine], accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=self.template.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_1_root_volume = list_volumes_response[0] vm_1_root_volume_name = vm_1_root_volume.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(volume_id=sf_volume.volume_id).snapshots sf_util.check_list(sf_snapshots, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) vol_snap_1 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 1, TestSnapshots._should_only_be_one_snapshot_in_list_err_msg) vol_snap_2 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 2, TestSnapshots._should_be_two_snapshots_in_list_err_msg) vol_snap_3 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 3, TestSnapshots._should_be_three_snapshots_in_list_err_msg) services = {"displaytext": "Template-1", "name": "Template-1-name", "ostypeid": self.template.ostypeid, "ispublic": "true"} template = Template.create_from_snapshot(self.apiClient, vol_snap_2, services) self.cleanup.append(template) virtual_machine_dict = {"name": "TestVM2", "displayname": "Test VM 2"} virtual_machine_2 = VirtualMachine.create( self.apiClient, virtual_machine_dict, accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=template.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine_2.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_2_root_volume = list_volumes_response[0] vm_2_root_volume_name = vm_2_root_volume.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 2, self, TestSnapshots._should_be_two_volumes_in_list_err_msg) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_2_root_volume_name) # Get snapshot information for volume from SolidFire cluster sf_snapshots_2 = self.sfe.list_snapshots(volume_id=sf_volume_2.volume_id).snapshots sf_util.check_list(sf_snapshots_2, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) vol_snap_a = self._create_and_test_snapshot(vm_2_root_volume, sf_volume_2, primary_storage_db_id, 1, TestSnapshots._should_only_be_one_snapshot_in_list_err_msg) services = {"diskname": "Vol-1", "zoneid": self.testdata[TestData.zoneId], "ispublic": True} volume_created_from_snapshot = Volume.create_from_snapshot(self.apiClient, vol_snap_a.id, services, account=self.account.name, domainid=self.domain.id) volume_created_from_snapshot_name = volume_created_from_snapshot.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 3, self, TestSnapshots._should_be_three_volumes_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_2_root_volume_name) sf_volume_3 = sf_util.get_sf_volume_by_name(self, sf_volumes, volume_created_from_snapshot_name) sf_util.check_list(sf_volume_3.volume_access_groups, 0, self, TestSnapshots._should_be_zero_volume_access_groups_in_list_err_msg) volume_created_from_snapshot = virtual_machine.attach_volume( self.apiClient, volume_created_from_snapshot ) self._delete_and_test_snapshot(vol_snap_a) virtual_machine.delete(self.apiClient, True) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 3, self, TestSnapshots._should_be_three_volumes_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_2_root_volume_name) sf_volume_3 = sf_util.get_sf_volume_by_name(self, sf_volumes, volume_created_from_snapshot_name) volume_created_from_snapshot = virtual_machine_2.attach_volume( self.apiClient, volume_created_from_snapshot ) self._delete_and_test_snapshot(vol_snap_2) self._delete_and_test_snapshot(vol_snap_3) self._delete_and_test_snapshot(vol_snap_1) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 2, self, TestSnapshots._should_be_two_volumes_in_list_err_msg) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_2_root_volume_name) sf_volume_3 = sf_util.get_sf_volume_by_name(self, sf_volumes, volume_created_from_snapshot_name) virtual_machine_2.delete(self.apiClient, True) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume_3 = sf_util.get_sf_volume_by_name(self, sf_volumes, volume_created_from_snapshot_name) list_volumes_response = list_volumes( self.apiClient, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) data_volume = list_volumes_response[0] data_volume = Volume(data_volume.__dict__) data_volume.delete(self.apiClient) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 0, self, TestSnapshots._should_be_zero_volumes_in_list_err_msg) @attr(hypervisor='XenServer') def test_02_create_volume_snapshot_using_sf_volume(self): if TestData.hypervisor_type != TestData.xenServer: return sf_util.set_supports_resign(False, self.dbConnection) virtual_machine = VirtualMachine.create( self.apiClient, self.testdata[TestData.virtualMachine], accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=self.template.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_1_root_volume = list_volumes_response[0] vm_1_root_volume_name = vm_1_root_volume.name sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestSnapshots._sf_account_id_should_be_non_zero_int_err_msg) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(volume_id=sf_volume.volume_id).snapshots sf_util.check_list(sf_snapshots, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) primary_storage_db_id = self._get_cs_storage_pool_db_id(self.primary_storage) sf_volume_id = sf_volume.volume_id sf_volume_size = sf_volume.total_size vol_snap_1 = self._create_and_test_snapshot_2(vm_1_root_volume.id, sf_volume_id, sf_volume_id + 1, primary_storage_db_id, sf_volume_size, sf_account_id, 2, TestSnapshots._should_be_two_volumes_in_list_err_msg) vol_snap_2 = self._create_and_test_snapshot_2(vm_1_root_volume.id, sf_volume_id, sf_volume_id + 2, primary_storage_db_id, sf_volume_size, sf_account_id, 3, TestSnapshots._should_be_three_volumes_in_list_err_msg) vol_snap_3 = self._create_and_test_snapshot_2(vm_1_root_volume.id, sf_volume_id, sf_volume_id + 3, primary_storage_db_id, sf_volume_size, sf_account_id, 4, TestSnapshots._should_be_four_volumes_in_list_err_msg) self._delete_and_test_snapshot_2(vol_snap_2, sf_account_id, 3, TestSnapshots._should_be_three_volumes_in_list_err_msg) self._delete_and_test_snapshot_2(vol_snap_1, sf_account_id, 2, TestSnapshots._should_be_two_volumes_in_list_err_msg) self._delete_and_test_snapshot_2(vol_snap_3, sf_account_id, 1, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vol_snap_1 = self._create_and_test_snapshot_2(vm_1_root_volume.id, sf_volume_id, sf_volume_id + 4, primary_storage_db_id, sf_volume_size, sf_account_id, 2, TestSnapshots._should_be_two_volumes_in_list_err_msg) vol_snap_2 = self._create_and_test_snapshot_2(vm_1_root_volume.id, sf_volume_id, sf_volume_id + 5, primary_storage_db_id, sf_volume_size, sf_account_id, 3, TestSnapshots._should_be_three_volumes_in_list_err_msg) virtual_machine.delete(self.apiClient, True) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 2, self, TestSnapshots._should_be_two_volumes_in_list_err_msg) self._delete_and_test_snapshot_2(vol_snap_1, sf_account_id, 1, TestSnapshots._should_only_be_one_volume_in_list_err_msg) self._delete_and_test_snapshot_2(vol_snap_2, sf_account_id, 0, TestSnapshots._should_be_zero_volumes_in_list_err_msg) virtual_machine = VirtualMachine.create( self.apiClient, self.testdata[TestData.virtualMachine], accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=self.template.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_1_root_volume = list_volumes_response[0] vm_1_root_volume_name = vm_1_root_volume.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(volume_id=sf_volume.volume_id).snapshots sf_util.check_list(sf_snapshots, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) sf_volume_id = sf_volume.volume_id sf_volume_size = sf_volume.total_size vol_snap_1 = self._create_and_test_snapshot_2(vm_1_root_volume.id, sf_volume_id, sf_volume_id + 1, primary_storage_db_id, sf_volume_size, sf_account_id, 2, TestSnapshots._should_be_two_volumes_in_list_err_msg) vol_snap_2 = self._create_and_test_snapshot_2(vm_1_root_volume.id, sf_volume_id, sf_volume_id + 2, primary_storage_db_id, sf_volume_size, sf_account_id, 3, TestSnapshots._should_be_three_volumes_in_list_err_msg) vol_snap_3 = self._create_and_test_snapshot_2(vm_1_root_volume.id, sf_volume_id, sf_volume_id + 3, primary_storage_db_id, sf_volume_size, sf_account_id, 4, TestSnapshots._should_be_four_volumes_in_list_err_msg) services = {"displaytext": "Template-1", "name": "Template-1-name", "ostypeid": self.template.ostypeid, "ispublic": "true"} template = Template.create_from_snapshot(self.apiClient, vol_snap_2, services) self.cleanup.append(template) virtual_machine_dict = {"name": "TestVM2", "displayname": "Test VM 2"} virtual_machine_2 = VirtualMachine.create( self.apiClient, virtual_machine_dict, accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=template.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine_2.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_2_root_volume = list_volumes_response[0] vm_2_root_volume_name = vm_2_root_volume.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 5, self, TestSnapshots._should_be_five_volumes_in_list_err_msg) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_2_root_volume_name) # Get snapshot information for volume from SolidFire cluster sf_snapshots_2 = self.sfe.list_snapshots(volume_id=sf_volume_2.volume_id).snapshots sf_util.check_list(sf_snapshots_2, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) sf_volume_id_2 = sf_volume_2.volume_id sf_volume_size_2 = sf_volume_2.total_size vol_snap_a = self._create_and_test_snapshot_2(vm_2_root_volume.id, sf_volume_id_2, sf_volume_id + 5, primary_storage_db_id, sf_volume_size_2, sf_account_id, 6, TestSnapshots._should_be_six_volumes_in_list_err_msg) services = {"diskname": "Vol-1", "zoneid": self.testdata[TestData.zoneId], "ispublic": True} volume_created_from_snapshot = Volume.create_from_snapshot(self.apiClient, vol_snap_a.id, services, account=self.account.name, domainid=self.domain.id) volume_created_from_snapshot_name = volume_created_from_snapshot.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 7, self, TestSnapshots._should_be_seven_volumes_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_2_root_volume_name) sf_volume_3 = sf_util.get_sf_volume_by_name(self, sf_volumes, volume_created_from_snapshot_name) sf_util.check_list(sf_volume_3.volume_access_groups, 0, self, TestSnapshots._should_be_zero_volume_access_groups_in_list_err_msg) volume_created_from_snapshot = virtual_machine.attach_volume( self.apiClient, volume_created_from_snapshot ) self._delete_and_test_snapshot_2(vol_snap_a, sf_account_id, 6, TestSnapshots._should_be_six_volumes_in_list_err_msg) virtual_machine.delete(self.apiClient, True) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 5, self, TestSnapshots._should_be_five_volumes_in_list_err_msg) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_2_root_volume_name) sf_volume_3 = sf_util.get_sf_volume_by_name(self, sf_volumes, volume_created_from_snapshot_name) volume_created_from_snapshot = virtual_machine_2.attach_volume( self.apiClient, volume_created_from_snapshot ) self._delete_and_test_snapshot_2(vol_snap_2, sf_account_id, 4, TestSnapshots._should_be_four_volumes_in_list_err_msg) self._delete_and_test_snapshot_2(vol_snap_3, sf_account_id, 3, TestSnapshots._should_be_three_volumes_in_list_err_msg) self._delete_and_test_snapshot_2(vol_snap_1, sf_account_id, 2, TestSnapshots._should_be_two_volumes_in_list_err_msg) virtual_machine_2.delete(self.apiClient, True) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) list_volumes_response = list_volumes( self.apiClient, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) data_volume = list_volumes_response[0] data_volume = Volume(data_volume.__dict__) data_volume.delete(self.apiClient) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 0, self, TestSnapshots._should_be_zero_volumes_in_list_err_msg) virtual_machine = VirtualMachine.create( self.apiClient, self.testdata[TestData.virtualMachine], accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=template.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_1_root_volume = list_volumes_response[0] vm_1_root_volume_name = vm_1_root_volume.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) time.sleep(60) virtual_machine.stop(self.apiClient, True) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) sf_volume_id = sf_volume.volume_id sf_volume_size = sf_volume.total_size vol_snap_1 = self._create_and_test_snapshot_2(vm_1_root_volume.id, sf_volume_id, sf_volume_id + 1, primary_storage_db_id, sf_volume_size, sf_account_id, 2, TestSnapshots._should_be_two_volumes_in_list_err_msg) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 2, self, TestSnapshots._should_be_two_volumes_in_list_err_msg) services = {"diskname": "Vol-1", "zoneid": self.testdata[TestData.zoneId], "ispublic": True} volume_created_from_snapshot = Volume.create_from_snapshot(self.apiClient, vol_snap_1.id, services, account=self.account.name, domainid=self.domain.id) volume_created_from_snapshot_name = volume_created_from_snapshot.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 3, self, TestSnapshots._should_be_three_volumes_in_list_err_msg) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, volume_created_from_snapshot_name) sf_util.check_list(sf_volume_2.volume_access_groups, 0, self, TestSnapshots._should_be_zero_volume_access_groups_in_list_err_msg) volume_created_from_snapshot = virtual_machine.attach_volume( self.apiClient, volume_created_from_snapshot ) sf_volume_id_2 = sf_volume_2.volume_id sf_volume_size_2 = sf_volume_2.total_size vol_snap_a = self._create_and_test_snapshot_2(volume_created_from_snapshot.id, sf_volume_id_2, sf_volume_id + 3, primary_storage_db_id, sf_volume_size_2, sf_account_id, 4, TestSnapshots._should_be_four_volumes_in_list_err_msg) self._delete_and_test_snapshot_2(vol_snap_1, sf_account_id, 3, TestSnapshots._should_be_three_volumes_in_list_err_msg) self._delete_and_test_snapshot_2(vol_snap_a, sf_account_id, 2, TestSnapshots._should_be_two_volumes_in_list_err_msg) virtual_machine.delete(self.apiClient, True) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) list_volumes_response = list_volumes( self.apiClient, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vol_snap_a = self._create_and_test_snapshot_2(volume_created_from_snapshot.id, sf_volume_id_2, sf_volume_id + 4, primary_storage_db_id, sf_volume_size_2, sf_account_id, 2, TestSnapshots._should_be_two_volumes_in_list_err_msg) data_volume = list_volumes_response[0] data_volume = Volume(data_volume.__dict__) data_volume.delete(self.apiClient) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) list_volumes_response = list_volumes( self.apiClient, listall=True ) self.assertEqual( list_volumes_response, None, "'list_volumes_response' should be equal to 'None'." ) self._delete_and_test_snapshot_2(vol_snap_a, sf_account_id, 0, TestSnapshots._should_be_zero_volumes_in_list_err_msg) @attr(hypervisor='XenServer') def test_03_create_volume_snapshot_using_sf_volume_and_sf_snapshot(self): if TestData.hypervisor_type != TestData.xenServer: return sf_util.set_supports_resign(False, self.dbConnection) virtual_machine = VirtualMachine.create( self.apiClient, self.testdata[TestData.virtualMachine], accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=self.template.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_1_root_volume = list_volumes_response[0] vm_1_root_volume_name = vm_1_root_volume.name sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestSnapshots._sf_account_id_should_be_non_zero_int_err_msg) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(volume_id=sf_volume.volume_id).snapshots sf_util.check_list(sf_snapshots, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) primary_storage_db_id = self._get_cs_storage_pool_db_id(self.primary_storage) sf_volume_id = sf_volume.volume_id sf_volume_size = sf_volume.total_size vol_snap_1 = self._create_and_test_snapshot_2(vm_1_root_volume.id, sf_volume_id, sf_volume_id + 1, primary_storage_db_id, sf_volume_size, sf_account_id, 2, TestSnapshots._should_be_two_volumes_in_list_err_msg) vol_snap_2 = self._create_and_test_snapshot_2(vm_1_root_volume.id, sf_volume_id, sf_volume_id + 2, primary_storage_db_id, sf_volume_size, sf_account_id, 3, TestSnapshots._should_be_three_volumes_in_list_err_msg) sf_util.set_supports_resign(True, self.dbConnection) vol_snap_a = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 1, TestSnapshots._should_only_be_one_snapshot_in_list_err_msg) vol_snap_b = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 2, TestSnapshots._should_be_two_snapshots_in_list_err_msg) services = {"displaytext": "Template-1", "name": "Template-1-name", "ostypeid": self.template.ostypeid, "ispublic": "true"} template_1 = Template.create_from_snapshot(self.apiClient, vol_snap_1, services) self.cleanup.append(template_1) virtual_machine_dict = {"name": "TestVM2", "displayname": "Test VM 2"} virtual_machine_2 = VirtualMachine.create( self.apiClient, virtual_machine_dict, accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=template_1.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine_2.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_2_root_volume = list_volumes_response[0] vm_2_root_volume_name = vm_2_root_volume.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 4, self, TestSnapshots._should_be_four_volumes_in_list_err_msg) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_2_root_volume_name) # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(volume_id=sf_volume_2.volume_id).snapshots sf_util.check_list(sf_snapshots, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) services = {"diskname": "Vol-1", "zoneid": self.testdata[TestData.zoneId], "ispublic": True} volume_created_from_snapshot_1 = Volume.create_from_snapshot(self.apiClient, vol_snap_2.id, services, account=self.account.name, domainid=self.domain.id) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 5, self, TestSnapshots._should_be_five_volumes_in_list_err_msg) volume_created_from_snapshot_1 = virtual_machine_2.attach_volume( self.apiClient, volume_created_from_snapshot_1 ) services = {"displaytext": "Template-A", "name": "Template-A-name", "ostypeid": self.template.ostypeid, "ispublic": "true"} template_a = Template.create_from_snapshot(self.apiClient, vol_snap_a, services) self.cleanup.append(template_a) virtual_machine_dict = {"name": "TestVM3", "displayname": "Test VM 3"} virtual_machine_3 = VirtualMachine.create( self.apiClient, virtual_machine_dict, accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=template_a.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine_3.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_3_root_volume = list_volumes_response[0] vm_3_root_volume_name = vm_3_root_volume.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 6, self, TestSnapshots._should_be_six_volumes_in_list_err_msg) sf_volume_3 = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_3_root_volume_name) # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(volume_id=sf_volume_3.volume_id).snapshots sf_util.check_list(sf_snapshots, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) services = {"diskname": "Vol-A", "zoneid": self.testdata[TestData.zoneId], "ispublic": True} volume_created_from_snapshot_a = Volume.create_from_snapshot(self.apiClient, vol_snap_b.id, services, account=self.account.name, domainid=self.domain.id) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 7, self, TestSnapshots._should_be_seven_volumes_in_list_err_msg) volume_created_from_snapshot_a = virtual_machine_3.attach_volume( self.apiClient, volume_created_from_snapshot_a ) virtual_machine.delete(self.apiClient, True) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) # should still be 7 volumes because the SolidFire volume for the root disk of the VM just destroyed # is still needed for the SolidFire snapshots sf_util.check_list(sf_volumes, 7, self, TestSnapshots._should_be_seven_volumes_in_list_err_msg) virtual_machine_2.delete(self.apiClient, True) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 6, self, TestSnapshots._should_be_six_volumes_in_list_err_msg) virtual_machine_3.delete(self.apiClient, True) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 5, self, TestSnapshots._should_be_five_volumes_in_list_err_msg) data_volume = Volume(volume_created_from_snapshot_a.__dict__) data_volume.delete(self.apiClient) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 4, self, TestSnapshots._should_be_four_volumes_in_list_err_msg) data_volume = Volume(volume_created_from_snapshot_1.__dict__) data_volume.delete(self.apiClient) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 3, self, TestSnapshots._should_be_three_volumes_in_list_err_msg) self._delete_and_test_snapshot_2(vol_snap_1, sf_account_id, 2, TestSnapshots._should_be_two_volumes_in_list_err_msg) self._delete_and_test_snapshot(vol_snap_b) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) # should still be 2 volumes because the SolidFire volume for the root disk of the VM just destroyed # is still needed for the SolidFire snapshots sf_util.check_list(sf_volumes, 2, self, TestSnapshots._should_be_two_volumes_in_list_err_msg) self._delete_and_test_snapshot(vol_snap_a) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) self._delete_and_test_snapshot_2(vol_snap_2, sf_account_id, 0, TestSnapshots._should_be_zero_volumes_in_list_err_msg) @attr(hypervisor='XenServer') def test_04_create_volume_snapshot_using_sf_snapshot_and_archiving(self): if TestData.hypervisor_type != TestData.xenServer: return sf_util.set_supports_resign(True, self.dbConnection) virtual_machine = VirtualMachine.create( self.apiClient, self.testdata[TestData.virtualMachine], accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=self.template.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_1_root_volume = list_volumes_response[0] vm_1_root_volume_name = vm_1_root_volume.name sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestSnapshots._sf_account_id_should_be_non_zero_int_err_msg) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(volume_id=sf_volume.volume_id).snapshots sf_util.check_list(sf_snapshots, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) primary_storage_db_id = self._get_cs_storage_pool_db_id(self.primary_storage) vol_snap_1_archive = self._create_and_test_archive_snapshot(vm_1_root_volume.id, sf_volume) vol_snap_2 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 1, TestSnapshots._should_only_be_one_snapshot_in_list_err_msg) vol_snap_3_archive = self._create_and_test_archive_snapshot(vm_1_root_volume.id, sf_volume) vol_snap_4 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 2, TestSnapshots._should_be_two_snapshots_in_list_err_msg) self._delete_and_test_archive_snapshot(vol_snap_3_archive) self._delete_and_test_snapshot(vol_snap_2) self._delete_and_test_snapshot(vol_snap_4) self._delete_and_test_archive_snapshot(vol_snap_1_archive) vol_snap_1_archive = self._create_and_test_archive_snapshot(vm_1_root_volume.id, sf_volume) vol_snap_2 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 1, TestSnapshots._should_only_be_one_snapshot_in_list_err_msg) virtual_machine.delete(self.apiClient, True) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) self._delete_and_test_archive_snapshot(vol_snap_1_archive) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) self._delete_and_test_snapshot(vol_snap_2) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 0, self, TestSnapshots._should_be_zero_volumes_in_list_err_msg) virtual_machine = VirtualMachine.create( self.apiClient, self.testdata[TestData.virtualMachine], accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=self.template.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_1_root_volume = list_volumes_response[0] vm_1_root_volume_name = vm_1_root_volume.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(volume_id=sf_volume.volume_id).snapshots sf_util.check_list(sf_snapshots, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) vol_snap_1 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 1, TestSnapshots._should_only_be_one_snapshot_in_list_err_msg) vol_snap_2_archive = self._create_and_test_archive_snapshot(vm_1_root_volume.id, sf_volume) vol_snap_3 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 2, TestSnapshots._should_be_two_snapshots_in_list_err_msg) vol_snap_4_archive = self._create_and_test_archive_snapshot(vm_1_root_volume.id, sf_volume) services = {"displaytext": "Template-1", "name": "Template-1-name", "ostypeid": self.template.ostypeid, "ispublic": "true"} template = Template.create_from_snapshot(self.apiClient, vol_snap_2_archive, services) self.cleanup.append(template) virtual_machine_dict = {"name": "TestVM2", "displayname": "Test VM 2"} virtual_machine_2 = VirtualMachine.create( self.apiClient, virtual_machine_dict, accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=template.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine_2.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_2_root_volume = list_volumes_response[0] vm_2_root_volume_name = vm_2_root_volume.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 2, self, TestSnapshots._should_be_two_volumes_in_list_err_msg) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_2_root_volume_name) # Get snapshot information for volume from SolidFire cluster sf_snapshots_2 = self.sfe.list_snapshots(volume_id=sf_volume_2.volume_id).snapshots sf_util.check_list(sf_snapshots_2, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) vol_snap_a_archive = self._create_and_test_archive_snapshot(vm_2_root_volume.id, sf_volume_2) services = {"diskname": "Vol-1", "zoneid": self.testdata[TestData.zoneId], "ispublic": True} volume_created_from_snapshot = Volume.create_from_snapshot(self.apiClient, vol_snap_a_archive.id, services, account=self.account.name, domainid=self.domain.id) volume_created_from_snapshot_name = volume_created_from_snapshot.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 3, self, TestSnapshots._should_be_three_volumes_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_2_root_volume_name) sf_volume_3 = sf_util.get_sf_volume_by_name(self, sf_volumes, volume_created_from_snapshot_name) sf_util.check_list(sf_volume_3.volume_access_groups, 0, self, TestSnapshots._should_be_zero_volume_access_groups_in_list_err_msg) volume_created_from_snapshot = virtual_machine.attach_volume( self.apiClient, volume_created_from_snapshot ) self._delete_and_test_archive_snapshot(vol_snap_a_archive) virtual_machine.delete(self.apiClient, True) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 3, self, TestSnapshots._should_be_three_volumes_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_2_root_volume_name) sf_volume_3 = sf_util.get_sf_volume_by_name(self, sf_volumes, volume_created_from_snapshot_name) volume_created_from_snapshot = virtual_machine_2.attach_volume( self.apiClient, volume_created_from_snapshot ) self._delete_and_test_archive_snapshot(vol_snap_4_archive) self._delete_and_test_snapshot(vol_snap_1) self._delete_and_test_archive_snapshot(vol_snap_2_archive) self._delete_and_test_snapshot(vol_snap_3) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 2, self, TestSnapshots._should_be_two_volumes_in_list_err_msg) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_2_root_volume_name) sf_volume_3 = sf_util.get_sf_volume_by_name(self, sf_volumes, volume_created_from_snapshot_name) virtual_machine_2.delete(self.apiClient, True) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume_3 = sf_util.get_sf_volume_by_name(self, sf_volumes, volume_created_from_snapshot_name) list_volumes_response = list_volumes( self.apiClient, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) data_volume = list_volumes_response[0] data_volume = Volume(data_volume.__dict__) data_volume.delete(self.apiClient) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 0, self, TestSnapshots._should_be_zero_volumes_in_list_err_msg) def test_05_create_volume_snapshot_using_sf_snapshot_and_revert_volume_to_snapshot(self): if TestData.hypervisor_type != TestData.vmWare and TestData.hypervisor_type != TestData.kvm: return virtual_machine = VirtualMachine.create( self.apiClient, self.testdata[TestData.virtualMachine], accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=self.template.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) vm_1_root_volume = list_volumes_response[0] vm_1_root_volume_name = vm_1_root_volume.name sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestSnapshots._sf_account_id_should_be_non_zero_int_err_msg) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 1, self, TestSnapshots._should_only_be_one_volume_in_list_err_msg) sf_volume = sf_util.get_sf_volume_by_name(self, sf_volumes, vm_1_root_volume_name) # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(volume_id=sf_volume.volume_id).snapshots sf_util.check_list(sf_snapshots, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) primary_storage_db_id = self._get_cs_storage_pool_db_id(self.primary_storage) vol_snap_1 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 1, TestSnapshots._should_only_be_one_snapshot_in_list_err_msg) vol_snap_2 = self._create_and_test_snapshot(vm_1_root_volume, sf_volume, primary_storage_db_id, 2, TestSnapshots._should_be_two_snapshots_in_list_err_msg) virtual_machine.stop(self.apiClient, False) if TestData.hypervisor_type == TestData.vmWare: try: Volume.revertToSnapshot(self.apiClient, vol_snap_1.id) self.assertTrue(False, "An exception should have been thrown when trying to revert a volume to a snapshot and the volume is a root disk on VMware.") except: pass else: Volume.revertToSnapshot(self.apiClient, vol_snap_1.id) virtual_machine.start(self.apiClient) try: Volume.revertToSnapshot(self.apiClient, vol_snap_1.id) self.assertTrue(False, "An exception should have been thrown when trying to revert a volume to a snapshot and the volume is attached to a running VM.") except: pass services = {"diskname": "Vol-1", "zoneid": self.testdata[TestData.zoneId], "ispublic": True} volume_created_from_snapshot = Volume.create_from_snapshot(self.apiClient, vol_snap_2.id, services, account=self.account.name, domainid=self.domain.id) volume_created_from_snapshot_name = volume_created_from_snapshot.name # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, 2, self, TestSnapshots._should_be_two_volumes_in_list_err_msg) sf_volume_2 = sf_util.get_sf_volume_by_name(self, sf_volumes, volume_created_from_snapshot_name) self._delete_and_test_snapshot(vol_snap_2) self._delete_and_test_snapshot(vol_snap_1) vol_snap_1 = self._create_and_test_snapshot(volume_created_from_snapshot, sf_volume_2, primary_storage_db_id, 1, TestSnapshots._should_only_be_one_snapshot_in_list_err_msg) vol_snap_2 = self._create_and_test_snapshot(volume_created_from_snapshot, sf_volume_2, primary_storage_db_id, 2, TestSnapshots._should_be_two_snapshots_in_list_err_msg) volume_created_from_snapshot = virtual_machine.attach_volume( self.apiClient, volume_created_from_snapshot ) virtual_machine.stop(self.apiClient, False) Volume.revertToSnapshot(self.apiClient, vol_snap_1.id) virtual_machine.start(self.apiClient) try: Volume.revertToSnapshot(self.apiClient, vol_snap_1.id) self.assertTrue(False, "An exception should have been thrown when trying to revert a volume to a snapshot and the volume is attached to a running VM.") except: pass self._delete_and_test_snapshot(vol_snap_2) self._delete_and_test_snapshot(vol_snap_1) virtual_machine.delete(self.apiClient, True) volume_created_from_snapshot = Volume(volume_created_from_snapshot.__dict__) volume_created_from_snapshot.delete(self.apiClient) # used when SolidFire snapshots are being used for CloudStack volume snapshots def _check_snapshot_details(self, sf_snapshot_details, cs_snapshot_id, volume, sf_volume_id, sf_snapshot_id, storage_pool_id, sf_volume_size): if TestData.hypervisor_type == TestData.vmWare: expected_num_details = 7 err_msg = TestSnapshots._should_be_seven_items_in_list_err_msg else: expected_num_details = 6 err_msg = TestSnapshots._should_be_six_items_in_list_err_msg volume_id = sf_util.get_cs_volume_db_id(self.dbConnection, volume) sf_util.check_list(sf_snapshot_details, expected_num_details, self, err_msg) self._check_snapshot_detail(sf_snapshot_details, cs_snapshot_id, "takeSnapshot", "true") self._check_snapshot_detail(sf_snapshot_details, cs_snapshot_id, "volumeId", sf_volume_id) self._check_snapshot_detail(sf_snapshot_details, cs_snapshot_id, "snapshotId", sf_snapshot_id) self._check_snapshot_detail(sf_snapshot_details, cs_snapshot_id, "sfStoragePoolId", storage_pool_id) self._check_snapshot_detail(sf_snapshot_details, cs_snapshot_id, "sfVolumeSize", sf_volume_size) self._check_snapshot_detail(sf_snapshot_details, cs_snapshot_id, "originalCloudStackVolumeId", volume_id) if TestData.hypervisor_type == TestData.vmWare: self._check_snapshot_detail_with(str.endswith, sf_snapshot_details, cs_snapshot_id, "vmdk", ".vmdk") # used when SolidFire volumes are being used for CloudStack volume snapshots def _check_snapshot_details_2(self, sf_snapshot_details, cs_snapshot_id, sf_volume_id, storage_pool_id, sf_volume_size): sf_util.check_list(sf_snapshot_details, 5, self, TestSnapshots._should_be_five_items_in_list_err_msg) self._check_snapshot_detail(sf_snapshot_details, cs_snapshot_id, "volumeId", sf_volume_id) self._check_snapshot_detail(sf_snapshot_details, cs_snapshot_id, "sfStoragePoolId", storage_pool_id) self._check_snapshot_detail(sf_snapshot_details, cs_snapshot_id, "sfVolumeSize", sf_volume_size) self._check_snapshot_detail_with(str.startswith, sf_snapshot_details, cs_snapshot_id, "iqn", "/iqn.") self._check_snapshot_detail_size(sf_snapshot_details, cs_snapshot_id, "path", 36) def _check_snapshot_detail(self, sf_snapshot_details_list, cs_snapshot_id, snapshot_detail_key, snapshot_detail_value): for sf_snapshot_detail_dict in sf_snapshot_details_list: if sf_snapshot_detail_dict["volumeSnapshotId"] != cs_snapshot_id: raise Exception("This snapshot detail does not apply to the expected CloudStack volume snapshot.") if sf_snapshot_detail_dict["snapshotDetailsName"] == snapshot_detail_key: if sf_snapshot_detail_dict["snapshotDetailsValue"] == str(snapshot_detail_value): return raise Exception("There is a problem with the snapshot details key '" + snapshot_detail_key + "' and value '" + str(snapshot_detail_value) + "'.") def _check_snapshot_detail_with(self, with_f, sf_snapshot_details_list, cs_snapshot_id, snapshot_detail_key, with_str): for sf_snapshot_detail_dict in sf_snapshot_details_list: if sf_snapshot_detail_dict["volumeSnapshotId"] != cs_snapshot_id: raise Exception("This snapshot detail does not apply to the expected CloudStack volume snapshot.") if sf_snapshot_detail_dict["snapshotDetailsName"] == snapshot_detail_key: if with_f(str(sf_snapshot_detail_dict["snapshotDetailsValue"]), with_str): return raise Exception("There is a problem with the snapshot details key '" + snapshot_detail_key + "' and 'starts with/ends with' value '" + with_str + "'.") def _check_snapshot_detail_size(self, sf_snapshot_details_list, cs_snapshot_id, snapshot_detail_key, length): for sf_snapshot_detail_dict in sf_snapshot_details_list: if sf_snapshot_detail_dict["volumeSnapshotId"] != cs_snapshot_id: raise Exception("This snapshot detail does not apply to the expected CloudStack volume snapshot.") if sf_snapshot_detail_dict["snapshotDetailsName"] == snapshot_detail_key: if len(sf_snapshot_detail_dict["snapshotDetailsValue"]) == length: return raise Exception("There is a problem with the snapshot details key '" + snapshot_detail_key + "' and 'length' value '" + str(length) + "'.") def _most_recent_sf_snapshot(self, sf_snapshots): sf_util.check_list_not_empty(self, sf_snapshots) most_recent_id = 0 sf_snapshot_to_return = None for sf_snapshot in sf_snapshots: if (sf_snapshot.snapshot_id > most_recent_id): sf_snapshot_to_return = sf_snapshot most_recent_id = sf_snapshot.snapshot_id if (sf_snapshot_to_return == None): raise Exception("Unable to find the most recent SolidFire snapshot in the provided list") return sf_snapshot_to_return def _get_cs_volume_snapshot_db_id(self, vol_snap): return sf_util.get_db_id(self.dbConnection, "snapshots", vol_snap) def _get_cs_storage_pool_db_id(self, storage_pool): return sf_util.get_db_id(self.dbConnection, "storage_pool", storage_pool) def _get_sf_volume_by_id(self, sf_volumes, sf_volume_id): sf_util.check_list_not_empty(self, sf_volumes) sf_volume = None for volume in sf_volumes: if volume.volume_id == sf_volume_id: sf_volume = volume break self.assertNotEqual( sf_volume, None, "The SolidFire volume could not be found in the expected account." ) return sf_volume def _get_snapshot_detail(self, sf_snapshot_details_list, key): for sf_snapshot_detail_dict in sf_snapshot_details_list: if sf_snapshot_detail_dict["snapshotDetailsName"] == key: return sf_snapshot_detail_dict["snapshotDetailsValue"] raise Exception("Unable to find the following snapshot details key: " + key) def _check_sf_snapshot_does_not_exist(self, sf_snapshots, sf_snapshot_id): for sf_snapshot in sf_snapshots: if sf_snapshot.snapshot_id == sf_snapshot: raise Exception("The following SolidFire snapshot ID should not exist: " + sf_snapshot_id) def _check_snapshot_details_do_not_exist(self, vol_snap_db_id): sql_query = "Select count(*) From snapshot_details Where snapshot_id = " + str(vol_snap_db_id) # make sure you can connect to MySQL: https://teamtreehouse.com/community/cant-connect-remotely-to-mysql-server-with-mysql-workbench sql_result = self.dbConnection.execute(sql_query) self.assertEqual( sql_result[0][0], 0, "Snapshot details should not exist for the following CloudStack volume snapshot DB ID: " + str(vol_snap_db_id) ) # used when SolidFire snapshots are being used for CloudStack volume snapshots def _create_and_test_snapshot(self, volume_for_snapshot, sf_volume, primary_storage_db_id, expected_num_snapshots, snapshot_err_msg): vol_snap = Snapshot.create( self.apiClient, volume_id=volume_for_snapshot.id ) self._wait_for_snapshot_state(vol_snap.id, Snapshot.BACKED_UP) sf_volume_id = sf_volume.volume_id # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(volume_id=sf_volume_id).snapshots sf_util.check_list(sf_snapshots, expected_num_snapshots, self, snapshot_err_msg) sf_snapshot = self._most_recent_sf_snapshot(sf_snapshots) sf_snapshot_details_request = {'snapshotid': vol_snap.id} sf_snapshot_details_response = self.cs_api.getVolumeSnapshotDetails(sf_snapshot_details_request) sf_snapshot_details = sf_snapshot_details_response['null'] # 'null' gets me the list that's in the dictionary vol_snap_db_id = self._get_cs_volume_snapshot_db_id(vol_snap) self._check_snapshot_details(sf_snapshot_details, vol_snap_db_id, volume_for_snapshot, sf_volume_id, sf_snapshot.snapshot_id, primary_storage_db_id, sf_volume.total_size) return vol_snap # used when SolidFire snapshots are being used for CloudStack volume snapshots to create a backup on secondary storage def _create_and_test_archive_snapshot(self, volume_id_for_snapshot, sf_volume): sf_volume_id = sf_volume.volume_id # Get snapshot information for volume from SolidFire cluster sf_snapshots_orig = self.sfe.list_snapshots(sf_volume_id).snapshots vol_snap = Snapshot.create( self.apiClient, volume_id=volume_id_for_snapshot, locationtype="secondary" ) self._wait_for_snapshot_state(vol_snap.id, Snapshot.BACKED_UP) # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(sf_volume_id).snapshots sf_util.check_list(sf_snapshots, len(sf_snapshots_orig), self, "A new SolidFire snapshot was detected.") vol_snap_db_id = self._get_cs_volume_snapshot_db_id(vol_snap) self._check_snapshot_details_do_not_exist(vol_snap_db_id) return vol_snap # used when SolidFire volumes are being used for CloudStack volume snapshots def _create_and_test_snapshot_2(self, volume_id_for_snapshot, sf_volume_id, sf_volume_id_for_volume_snapshot, primary_storage_db_id, sf_volume_size, sf_account_id, expected_num_volumes, volume_err_msg): vol_snap = Snapshot.create( self.apiClient, volume_id=volume_id_for_snapshot ) self._wait_for_snapshot_state(vol_snap.id, Snapshot.BACKED_UP) # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(volume_id=sf_volume_id).snapshots sf_util.check_list(sf_snapshots, 0, self, TestSnapshots._should_be_zero_snapshots_in_list_err_msg) sf_snapshot_details_request = {'snapshotid': vol_snap.id} sf_snapshot_details_response = self.cs_api.getVolumeSnapshotDetails(sf_snapshot_details_request) sf_snapshot_details = sf_snapshot_details_response['null'] # 'null' gets me the list that's in the dictionary vol_snap_db_id = self._get_cs_volume_snapshot_db_id(vol_snap) self._check_snapshot_details_2(sf_snapshot_details, vol_snap_db_id, sf_volume_id_for_volume_snapshot, primary_storage_db_id, sf_volume_size) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, expected_num_volumes, self, volume_err_msg) sf_volume_for_snapshot = self._get_sf_volume_by_id(sf_volumes, sf_volume_id_for_volume_snapshot) sf_util.check_list(sf_volume_for_snapshot.volume_access_groups, 0, self, TestSnapshots._should_be_zero_volume_access_groups_in_list_err_msg) return vol_snap def _wait_for_snapshot_state(self, vol_snap_id, snapshot_state): retry_interval = 10 num_tries = 10 wait_result, return_val = wait_until(retry_interval, num_tries, TestSnapshots._check_snapshot_state, self.apiClient, vol_snap_id, snapshot_state) if not wait_result: raise Exception(return_val) @staticmethod def _check_snapshot_state(api_client, vol_snap_id, snapshot_state): volume_snapshot = list_snapshots( api_client, id=vol_snap_id, listall=True )[0] if str(volume_snapshot.state).lower() == snapshot_state.lower(): return True, "" return False, "The snapshot is not in the '" + snapshot_state + "' state. State = " + str(volume_snapshot.state) # used when SolidFire snapshots are being used for CloudStack volume snapshots def _delete_and_test_snapshot(self, vol_snap): vol_snap_id = vol_snap.id vol_snap_db_id = self._get_cs_volume_snapshot_db_id(vol_snap) sf_snapshot_details_request = {'snapshotid': vol_snap_id} sf_snapshot_details_response = self.cs_api.getVolumeSnapshotDetails(sf_snapshot_details_request) sf_snapshot_details = sf_snapshot_details_response['null'] # 'null' gets me the list that's in the dictionary sf_volume_id = self._get_snapshot_detail(sf_snapshot_details, "volumeId") sf_snapshot_id = self._get_snapshot_detail(sf_snapshot_details, "snapshotId") vol_snap.delete(self.apiClient) # Get snapshot information for volume from SolidFire cluster sf_snapshots = self.sfe.list_snapshots(volume_id=sf_volume_id).snapshots self._check_sf_snapshot_does_not_exist(sf_snapshots, sf_snapshot_id) self._check_snapshot_details_do_not_exist(vol_snap_db_id) # used when SolidFire snapshots are being used for CloudStack volume snapshots to create a backup on secondary storage def _delete_and_test_archive_snapshot(self, vol_snap): vol_snap.delete(self.apiClient) # used when SolidFire volumes are being used for CloudStack volume snapshots def _delete_and_test_snapshot_2(self, vol_snap, sf_account_id, expected_num_volumes, volume_err_msg): vol_snap_db_id = self._get_cs_volume_snapshot_db_id(vol_snap) vol_snap.delete(self.apiClient) self._check_snapshot_details_do_not_exist(vol_snap_db_id) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.check_list(sf_volumes, expected_num_volumes, self, volume_err_msg)

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8a0577e78f4cc5cf2f1348c743d1663432693569

55,421

py

Python

tests/unit/api_container_test.py

StefanScherer/docker-py

407dcfd65ba81e8974c3dab5dd9499014e0f8b7f

[ "Apache-2.0" ]

1

2020-12-11T23:19:21.000Z

tests/unit/api_container_test.py

gdyuldin/docker-py

ce2669e3edfe5d3215ba501cc9771fc0ffad680a

[ "Apache-2.0" ]

null

tests/unit/api_container_test.py

gdyuldin/docker-py

ce2669e3edfe5d3215ba501cc9771fc0ffad680a

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import datetime import json import signal import docker from docker.api import APIClient import pytest import six from . import fake_api from ..helpers import requires_api_version from .api_test import ( BaseAPIClientTest, url_prefix, fake_request, DEFAULT_TIMEOUT_SECONDS, fake_inspect_container, url_base ) try: from unittest import mock except ImportError: import mock def fake_inspect_container_tty(self, container): return fake_inspect_container(self, container, tty=True) class StartContainerTest(BaseAPIClientTest): def test_start_container(self): self.client.start(fake_api.FAKE_CONTAINER_ID) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/3cc2351ab11b/start' assert 'data' not in args[1] assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_start_container_none(self): with pytest.raises(ValueError) as excinfo: self.client.start(container=None) assert str(excinfo.value) == 'Resource ID was not provided' with pytest.raises(ValueError) as excinfo: self.client.start(None) assert str(excinfo.value) == 'Resource ID was not provided' def test_start_container_regression_573(self): self.client.start(**{'container': fake_api.FAKE_CONTAINER_ID}) def test_start_container_with_lxc_conf(self): with pytest.raises(docker.errors.DeprecatedMethod): self.client.start( fake_api.FAKE_CONTAINER_ID, lxc_conf={'lxc.conf.k': 'lxc.conf.value'} ) def test_start_container_with_lxc_conf_compat(self): with pytest.raises(docker.errors.DeprecatedMethod): self.client.start( fake_api.FAKE_CONTAINER_ID, lxc_conf=[{'Key': 'lxc.conf.k', 'Value': 'lxc.conf.value'}] ) def test_start_container_with_binds_ro(self): with pytest.raises(docker.errors.DeprecatedMethod): self.client.start( fake_api.FAKE_CONTAINER_ID, binds={ '/tmp': { "bind": '/mnt', "ro": True } } ) def test_start_container_with_binds_rw(self): with pytest.raises(docker.errors.DeprecatedMethod): self.client.start( fake_api.FAKE_CONTAINER_ID, binds={ '/tmp': {"bind": '/mnt', "ro": False} } ) def test_start_container_with_port_binds(self): self.maxDiff = None with pytest.raises(docker.errors.DeprecatedMethod): self.client.start(fake_api.FAKE_CONTAINER_ID, port_bindings={ 1111: None, 2222: 2222, '3333/udp': (3333,), 4444: ('127.0.0.1',), 5555: ('127.0.0.1', 5555), 6666: [('127.0.0.1',), ('192.168.0.1',)] }) def test_start_container_with_links(self): with pytest.raises(docker.errors.DeprecatedMethod): self.client.start( fake_api.FAKE_CONTAINER_ID, links={'path': 'alias'} ) def test_start_container_with_multiple_links(self): with pytest.raises(docker.errors.DeprecatedMethod): self.client.start( fake_api.FAKE_CONTAINER_ID, links={ 'path1': 'alias1', 'path2': 'alias2' } ) def test_start_container_with_links_as_list_of_tuples(self): with pytest.raises(docker.errors.DeprecatedMethod): self.client.start(fake_api.FAKE_CONTAINER_ID, links=[('path', 'alias')]) def test_start_container_privileged(self): with pytest.raises(docker.errors.DeprecatedMethod): self.client.start(fake_api.FAKE_CONTAINER_ID, privileged=True) def test_start_container_with_dict_instead_of_id(self): self.client.start({'Id': fake_api.FAKE_CONTAINER_ID}) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/3cc2351ab11b/start' assert 'data' not in args[1] assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS class CreateContainerTest(BaseAPIClientTest): def test_create_container(self): self.client.create_container('busybox', 'true') args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["true"], "AttachStdin": false, "AttachStderr": true, "AttachStdout": true, "StdinOnce": false, "OpenStdin": false, "NetworkDisabled": false} ''') assert args[1]['headers'] == {'Content-Type': 'application/json'} def test_create_container_with_binds(self): mount_dest = '/mnt' self.client.create_container('busybox', ['ls', mount_dest], volumes=[mount_dest]) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["ls", "/mnt"], "AttachStdin": false, "Volumes": {"/mnt": {}}, "AttachStderr": true, "AttachStdout": true, "OpenStdin": false, "StdinOnce": false, "NetworkDisabled": false} ''') assert args[1]['headers'] == {'Content-Type': 'application/json'} def test_create_container_with_volume_string(self): mount_dest = '/mnt' self.client.create_container('busybox', ['ls', mount_dest], volumes=mount_dest) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["ls", "/mnt"], "AttachStdin": false, "Volumes": {"/mnt": {}}, "AttachStderr": true, "AttachStdout": true, "OpenStdin": false, "StdinOnce": false, "NetworkDisabled": false} ''') assert args[1]['headers'] == {'Content-Type': 'application/json'} def test_create_container_with_ports(self): self.client.create_container('busybox', 'ls', ports=[1111, (2222, 'udp'), (3333,)]) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["ls"], "AttachStdin": false, "ExposedPorts": { "1111/tcp": {}, "2222/udp": {}, "3333/tcp": {} }, "AttachStderr": true, "AttachStdout": true, "OpenStdin": false, "StdinOnce": false, "NetworkDisabled": false} ''') assert args[1]['headers'] == {'Content-Type': 'application/json'} def test_create_container_with_entrypoint(self): self.client.create_container('busybox', 'hello', entrypoint='cowsay entry') args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["hello"], "AttachStdin": false, "AttachStderr": true, "AttachStdout": true, "OpenStdin": false, "StdinOnce": false, "NetworkDisabled": false, "Entrypoint": ["cowsay", "entry"]} ''') assert args[1]['headers'] == {'Content-Type': 'application/json'} def test_create_container_with_host_config_cpu_shares(self): self.client.create_container( 'busybox', 'ls', host_config=self.client.create_host_config( cpu_shares=512 ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["ls"], "AttachStdin": false, "AttachStderr": true, "AttachStdout": true, "OpenStdin": false, "StdinOnce": false, "NetworkDisabled": false, "HostConfig": { "CpuShares": 512, "NetworkMode": "default" }} ''') assert args[1]['headers'] == {'Content-Type': 'application/json'} def test_create_container_with_host_config_cpuset(self): self.client.create_container( 'busybox', 'ls', host_config=self.client.create_host_config( cpuset_cpus='0,1' ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["ls"], "AttachStdin": false, "AttachStderr": true, "AttachStdout": true, "OpenStdin": false, "StdinOnce": false, "NetworkDisabled": false, "HostConfig": { "CpusetCpus": "0,1", "NetworkMode": "default" }} ''') assert args[1]['headers'] == {'Content-Type': 'application/json'} def test_create_container_with_host_config_cpuset_mems(self): self.client.create_container( 'busybox', 'ls', host_config=self.client.create_host_config( cpuset_mems='0' ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["ls"], "AttachStdin": false, "AttachStderr": true, "AttachStdout": true, "OpenStdin": false, "StdinOnce": false, "NetworkDisabled": false, "HostConfig": { "CpusetMems": "0", "NetworkMode": "default" }} ''') assert args[1]['headers'] == {'Content-Type': 'application/json'} def test_create_container_with_cgroup_parent(self): self.client.create_container( 'busybox', 'ls', host_config=self.client.create_host_config( cgroup_parent='test' ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' data = json.loads(args[1]['data']) assert 'HostConfig' in data assert 'CgroupParent' in data['HostConfig'] assert data['HostConfig']['CgroupParent'] == 'test' def test_create_container_with_working_dir(self): self.client.create_container('busybox', 'ls', working_dir='/root') args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["ls"], "AttachStdin": false, "AttachStderr": true, "AttachStdout": true, "OpenStdin": false, "StdinOnce": false, "NetworkDisabled": false, "WorkingDir": "/root"} ''') assert args[1]['headers'] == {'Content-Type': 'application/json'} def test_create_container_with_stdin_open(self): self.client.create_container('busybox', 'true', stdin_open=True) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["true"], "AttachStdin": true, "AttachStderr": true, "AttachStdout": true, "StdinOnce": true, "OpenStdin": true, "NetworkDisabled": false} ''') assert args[1]['headers'] == {'Content-Type': 'application/json'} def test_create_named_container(self): self.client.create_container('busybox', 'true', name='marisa-kirisame') args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["true"], "AttachStdin": false, "AttachStderr": true, "AttachStdout": true, "StdinOnce": false, "OpenStdin": false, "NetworkDisabled": false} ''') assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['params'] == {'name': 'marisa-kirisame'} def test_create_container_with_mem_limit_as_int(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( mem_limit=128.0 ) ) args = fake_request.call_args data = json.loads(args[1]['data']) assert data['HostConfig']['Memory'] == 128.0 def test_create_container_with_mem_limit_as_string(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( mem_limit='128' ) ) args = fake_request.call_args data = json.loads(args[1]['data']) assert data['HostConfig']['Memory'] == 128.0 def test_create_container_with_mem_limit_as_string_with_k_unit(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( mem_limit='128k' ) ) args = fake_request.call_args data = json.loads(args[1]['data']) assert data['HostConfig']['Memory'] == 128.0 * 1024 def test_create_container_with_mem_limit_as_string_with_m_unit(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( mem_limit='128m' ) ) args = fake_request.call_args data = json.loads(args[1]['data']) assert data['HostConfig']['Memory'] == 128.0 * 1024 * 1024 def test_create_container_with_mem_limit_as_string_with_g_unit(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( mem_limit='128g' ) ) args = fake_request.call_args data = json.loads(args[1]['data']) assert data['HostConfig']['Memory'] == 128.0 * 1024 * 1024 * 1024 def test_create_container_with_mem_limit_as_string_with_wrong_value(self): with pytest.raises(docker.errors.DockerException): self.client.create_host_config(mem_limit='128p') with pytest.raises(docker.errors.DockerException): self.client.create_host_config(mem_limit='1f28') def test_create_container_with_lxc_conf(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( lxc_conf={'lxc.conf.k': 'lxc.conf.value'} ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['LxcConf'] = [ {"Value": "lxc.conf.value", "Key": "lxc.conf.k"} ] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_lxc_conf_compat(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( lxc_conf=[{'Key': 'lxc.conf.k', 'Value': 'lxc.conf.value'}] ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['LxcConf'] = [ {"Value": "lxc.conf.value", "Key": "lxc.conf.k"} ] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_binds_ro(self): mount_dest = '/mnt' mount_origin = '/tmp' self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( binds={mount_origin: { "bind": mount_dest, "ro": True }} ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['Binds'] = ["/tmp:/mnt:ro"] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_binds_rw(self): mount_dest = '/mnt' mount_origin = '/tmp' self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( binds={mount_origin: { "bind": mount_dest, "ro": False }} ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['Binds'] = ["/tmp:/mnt:rw"] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_binds_mode(self): mount_dest = '/mnt' mount_origin = '/tmp' self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( binds={mount_origin: { "bind": mount_dest, "mode": "z", }} ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['Binds'] = ["/tmp:/mnt:z"] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_binds_mode_and_ro_error(self): with pytest.raises(ValueError): mount_dest = '/mnt' mount_origin = '/tmp' self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( binds={mount_origin: { "bind": mount_dest, "mode": "z", "ro": True, }} ) ) def test_create_container_with_binds_list(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( binds=[ "/tmp:/mnt/1:ro", "/tmp:/mnt/2", ], ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['Binds'] = [ "/tmp:/mnt/1:ro", "/tmp:/mnt/2", ] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_port_binds(self): self.maxDiff = None self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( port_bindings={ 1111: None, 2222: 2222, '3333/udp': (3333,), 4444: ('127.0.0.1',), 5555: ('127.0.0.1', 5555), 6666: [('127.0.0.1',), ('192.168.0.1',)] } ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' data = json.loads(args[1]['data']) port_bindings = data['HostConfig']['PortBindings'] assert '1111/tcp' in port_bindings assert '2222/tcp' in port_bindings assert '3333/udp' in port_bindings assert '4444/tcp' in port_bindings assert '5555/tcp' in port_bindings assert '6666/tcp' in port_bindings assert [{"HostPort": "", "HostIp": ""}] == port_bindings['1111/tcp'] assert [ {"HostPort": "2222", "HostIp": ""} ] == port_bindings['2222/tcp'] assert [ {"HostPort": "3333", "HostIp": ""} ] == port_bindings['3333/udp'] assert [ {"HostPort": "", "HostIp": "127.0.0.1"} ] == port_bindings['4444/tcp'] assert [ {"HostPort": "5555", "HostIp": "127.0.0.1"} ] == port_bindings['5555/tcp'] assert len(port_bindings['6666/tcp']) == 2 assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_mac_address(self): expected = "02:42:ac:11:00:0a" self.client.create_container( 'busybox', ['sleep', '60'], mac_address=expected ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' data = json.loads(args[1]['data']) assert data['MacAddress'] == expected def test_create_container_with_links(self): link_path = 'path' alias = 'alias' self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( links={link_path: alias} ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['Links'] = ['path:alias'] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} def test_create_container_with_multiple_links(self): link_path = 'path' alias = 'alias' self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( links={ link_path + '1': alias + '1', link_path + '2': alias + '2' } ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['Links'] = [ 'path1:alias1', 'path2:alias2' ] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} def test_create_container_with_links_as_list_of_tuples(self): link_path = 'path' alias = 'alias' self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( links=[(link_path, alias)] ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['Links'] = ['path:alias'] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} def test_create_container_privileged(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config(privileged=True) ) expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['Privileged'] = True args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_restart_policy(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( restart_policy={ "Name": "always", "MaximumRetryCount": 0 } ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['RestartPolicy'] = { "MaximumRetryCount": 0, "Name": "always" } assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_added_capabilities(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config(cap_add=['MKNOD']) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['CapAdd'] = ['MKNOD'] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_dropped_capabilities(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config(cap_drop=['MKNOD']) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['CapDrop'] = ['MKNOD'] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_devices(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( devices=['/dev/sda:/dev/xvda:rwm', '/dev/sdb:/dev/xvdb', '/dev/sdc'] ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['Devices'] = [ {'CgroupPermissions': 'rwm', 'PathInContainer': '/dev/xvda', 'PathOnHost': '/dev/sda'}, {'CgroupPermissions': 'rwm', 'PathInContainer': '/dev/xvdb', 'PathOnHost': '/dev/sdb'}, {'CgroupPermissions': 'rwm', 'PathInContainer': '/dev/sdc', 'PathOnHost': '/dev/sdc'} ] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_device_requests(self): client = APIClient(version='1.40') fake_api.fake_responses.setdefault( '{0}/v1.40/containers/create'.format(fake_api.prefix), fake_api.post_fake_create_container, ) client.create_container( 'busybox', 'true', host_config=client.create_host_config( device_requests=[ { 'device_ids': [ '0', 'GPU-3a23c669-1f69-c64e-cf85-44e9b07e7a2a' ] }, { 'driver': 'nvidia', 'Count': -1, 'capabilities': [ ['gpu', 'utility'] ], 'options': { 'key': 'value' } } ] ) ) args = fake_request.call_args assert args[0][1] == url_base + 'v1.40/' + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = client.create_host_config() expected_payload['HostConfig']['DeviceRequests'] = [ { 'Driver': '', 'Count': 0, 'DeviceIDs': [ '0', 'GPU-3a23c669-1f69-c64e-cf85-44e9b07e7a2a' ], 'Capabilities': [], 'Options': {} }, { 'Driver': 'nvidia', 'Count': -1, 'DeviceIDs': [], 'Capabilities': [ ['gpu', 'utility'] ], 'Options': { 'key': 'value' } } ] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers']['Content-Type'] == 'application/json' assert set(args[1]['headers']) <= {'Content-Type', 'User-Agent'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_labels_dict(self): labels_dict = { six.text_type('foo'): six.text_type('1'), six.text_type('bar'): six.text_type('2'), } self.client.create_container( 'busybox', 'true', labels=labels_dict, ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data'])['Labels'] == labels_dict assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_labels_list(self): labels_list = [ six.text_type('foo'), six.text_type('bar'), ] labels_dict = { six.text_type('foo'): six.text_type(), six.text_type('bar'): six.text_type(), } self.client.create_container( 'busybox', 'true', labels=labels_list, ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data'])['Labels'] == labels_dict assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_named_volume(self): mount_dest = '/mnt' volume_name = 'name' self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( volume_driver='foodriver', binds={volume_name: { "bind": mount_dest, "ro": False }}), ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['VolumeDriver'] = 'foodriver' expected_payload['HostConfig']['Binds'] = ["name:/mnt:rw"] assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_stop_signal(self): self.client.create_container('busybox', 'ls', stop_signal='SIGINT') args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["ls"], "AttachStdin": false, "AttachStderr": true, "AttachStdout": true, "OpenStdin": false, "StdinOnce": false, "NetworkDisabled": false, "StopSignal": "SIGINT"} ''') assert args[1]['headers'] == {'Content-Type': 'application/json'} @requires_api_version('1.22') def test_create_container_with_aliases(self): self.client.create_container( 'busybox', 'ls', host_config=self.client.create_host_config( network_mode='some-network', ), networking_config=self.client.create_networking_config({ 'some-network': self.client.create_endpoint_config( aliases=['foo', 'bar'], ), }), ) args = fake_request.call_args assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["ls"], "AttachStdin": false, "AttachStderr": true, "AttachStdout": true, "OpenStdin": false, "StdinOnce": false, "NetworkDisabled": false, "HostConfig": { "NetworkMode": "some-network" }, "NetworkingConfig": { "EndpointsConfig": { "some-network": {"Aliases": ["foo", "bar"]} } }} ''') @requires_api_version('1.22') def test_create_container_with_tmpfs_list(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( tmpfs=[ "/tmp", "/mnt:size=3G,uid=100" ] ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['Tmpfs'] = { "/tmp": "", "/mnt": "size=3G,uid=100" } assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS @requires_api_version('1.22') def test_create_container_with_tmpfs_dict(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( tmpfs={ "/tmp": "", "/mnt": "size=3G,uid=100" } ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['Tmpfs'] = { "/tmp": "", "/mnt": "size=3G,uid=100" } assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS @requires_api_version('1.24') def test_create_container_with_sysctl(self): self.client.create_container( 'busybox', 'true', host_config=self.client.create_host_config( sysctls={ 'net.core.somaxconn': 1024, 'net.ipv4.tcp_syncookies': '0', } ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' expected_payload = self.base_create_payload() expected_payload['HostConfig'] = self.client.create_host_config() expected_payload['HostConfig']['Sysctls'] = { 'net.core.somaxconn': '1024', 'net.ipv4.tcp_syncookies': '0', } assert json.loads(args[1]['data']) == expected_payload assert args[1]['headers'] == {'Content-Type': 'application/json'} assert args[1]['timeout'] == DEFAULT_TIMEOUT_SECONDS def test_create_container_with_unicode_envvars(self): envvars_dict = { 'foo': u'☃', } expected = [ u'foo=☃' ] self.client.create_container( 'busybox', 'true', environment=envvars_dict, ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data'])['Env'] == expected @requires_api_version('1.25') def test_create_container_with_host_config_cpus(self): self.client.create_container( 'busybox', 'ls', host_config=self.client.create_host_config( cpu_count=1, cpu_percent=20, nano_cpus=1000 ) ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/create' assert json.loads(args[1]['data']) == json.loads(''' {"Tty": false, "Image": "busybox", "Cmd": ["ls"], "AttachStdin": false, "AttachStderr": true, "AttachStdout": true, "OpenStdin": false, "StdinOnce": false, "NetworkDisabled": false, "HostConfig": { "CpuCount": 1, "CpuPercent": 20, "NanoCpus": 1000, "NetworkMode": "default" }} ''') assert args[1]['headers'] == {'Content-Type': 'application/json'} class ContainerTest(BaseAPIClientTest): def test_list_containers(self): self.client.containers(all=True) fake_request.assert_called_with( 'GET', url_prefix + 'containers/json', params={ 'all': 1, 'since': None, 'size': 0, 'limit': -1, 'trunc_cmd': 0, 'before': None }, timeout=DEFAULT_TIMEOUT_SECONDS ) def test_resize_container(self): self.client.resize( {'Id': fake_api.FAKE_CONTAINER_ID}, height=15, width=120 ) fake_request.assert_called_with( 'POST', url_prefix + 'containers/3cc2351ab11b/resize', params={'h': 15, 'w': 120}, timeout=DEFAULT_TIMEOUT_SECONDS ) def test_rename_container(self): self.client.rename( {'Id': fake_api.FAKE_CONTAINER_ID}, name='foobar' ) fake_request.assert_called_with( 'POST', url_prefix + 'containers/3cc2351ab11b/rename', params={'name': 'foobar'}, timeout=DEFAULT_TIMEOUT_SECONDS ) def test_wait(self): self.client.wait(fake_api.FAKE_CONTAINER_ID) fake_request.assert_called_with( 'POST', url_prefix + 'containers/3cc2351ab11b/wait', timeout=None, params={} ) def test_wait_with_dict_instead_of_id(self): self.client.wait({'Id': fake_api.FAKE_CONTAINER_ID}) fake_request.assert_called_with( 'POST', url_prefix + 'containers/3cc2351ab11b/wait', timeout=None, params={} ) def test_logs(self): with mock.patch('docker.api.client.APIClient.inspect_container', fake_inspect_container): logs = self.client.logs(fake_api.FAKE_CONTAINER_ID) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/logs', params={'timestamps': 0, 'follow': 0, 'stderr': 1, 'stdout': 1, 'tail': 'all'}, timeout=DEFAULT_TIMEOUT_SECONDS, stream=False ) assert logs == 'Flowering Nights\n(Sakuya Iyazoi)\n'.encode('ascii') def test_logs_with_dict_instead_of_id(self): with mock.patch('docker.api.client.APIClient.inspect_container', fake_inspect_container): logs = self.client.logs({'Id': fake_api.FAKE_CONTAINER_ID}) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/logs', params={'timestamps': 0, 'follow': 0, 'stderr': 1, 'stdout': 1, 'tail': 'all'}, timeout=DEFAULT_TIMEOUT_SECONDS, stream=False ) assert logs == 'Flowering Nights\n(Sakuya Iyazoi)\n'.encode('ascii') def test_log_streaming(self): with mock.patch('docker.api.client.APIClient.inspect_container', fake_inspect_container): self.client.logs(fake_api.FAKE_CONTAINER_ID, stream=True, follow=False) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/logs', params={'timestamps': 0, 'follow': 0, 'stderr': 1, 'stdout': 1, 'tail': 'all'}, timeout=DEFAULT_TIMEOUT_SECONDS, stream=True ) def test_log_following(self): with mock.patch('docker.api.client.APIClient.inspect_container', fake_inspect_container): self.client.logs(fake_api.FAKE_CONTAINER_ID, stream=False, follow=True) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/logs', params={'timestamps': 0, 'follow': 1, 'stderr': 1, 'stdout': 1, 'tail': 'all'}, timeout=DEFAULT_TIMEOUT_SECONDS, stream=False ) def test_log_following_backwards(self): with mock.patch('docker.api.client.APIClient.inspect_container', fake_inspect_container): self.client.logs(fake_api.FAKE_CONTAINER_ID, stream=True) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/logs', params={'timestamps': 0, 'follow': 1, 'stderr': 1, 'stdout': 1, 'tail': 'all'}, timeout=DEFAULT_TIMEOUT_SECONDS, stream=True ) def test_log_streaming_and_following(self): with mock.patch('docker.api.client.APIClient.inspect_container', fake_inspect_container): self.client.logs(fake_api.FAKE_CONTAINER_ID, stream=True, follow=True) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/logs', params={'timestamps': 0, 'follow': 1, 'stderr': 1, 'stdout': 1, 'tail': 'all'}, timeout=DEFAULT_TIMEOUT_SECONDS, stream=True ) def test_log_tail(self): with mock.patch('docker.api.client.APIClient.inspect_container', fake_inspect_container): self.client.logs(fake_api.FAKE_CONTAINER_ID, stream=False, follow=False, tail=10) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/logs', params={'timestamps': 0, 'follow': 0, 'stderr': 1, 'stdout': 1, 'tail': 10}, timeout=DEFAULT_TIMEOUT_SECONDS, stream=False ) def test_log_since(self): ts = 809222400 with mock.patch('docker.api.client.APIClient.inspect_container', fake_inspect_container): self.client.logs(fake_api.FAKE_CONTAINER_ID, stream=False, follow=False, since=ts) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/logs', params={'timestamps': 0, 'follow': 0, 'stderr': 1, 'stdout': 1, 'tail': 'all', 'since': ts}, timeout=DEFAULT_TIMEOUT_SECONDS, stream=False ) def test_log_since_with_datetime(self): ts = 809222400 time = datetime.datetime.utcfromtimestamp(ts) with mock.patch('docker.api.client.APIClient.inspect_container', fake_inspect_container): self.client.logs(fake_api.FAKE_CONTAINER_ID, stream=False, follow=False, since=time) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/logs', params={'timestamps': 0, 'follow': 0, 'stderr': 1, 'stdout': 1, 'tail': 'all', 'since': ts}, timeout=DEFAULT_TIMEOUT_SECONDS, stream=False ) def test_log_since_with_invalid_value_raises_error(self): with mock.patch('docker.api.client.APIClient.inspect_container', fake_inspect_container): with pytest.raises(docker.errors.InvalidArgument): self.client.logs(fake_api.FAKE_CONTAINER_ID, stream=False, follow=False, since=42.42) def test_log_tty(self): m = mock.Mock() with mock.patch('docker.api.client.APIClient.inspect_container', fake_inspect_container_tty): with mock.patch('docker.api.client.APIClient._stream_raw_result', m): self.client.logs(fake_api.FAKE_CONTAINER_ID, follow=True, stream=True) assert m.called fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/logs', params={'timestamps': 0, 'follow': 1, 'stderr': 1, 'stdout': 1, 'tail': 'all'}, timeout=DEFAULT_TIMEOUT_SECONDS, stream=True ) def test_diff(self): self.client.diff(fake_api.FAKE_CONTAINER_ID) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/changes', timeout=DEFAULT_TIMEOUT_SECONDS ) def test_diff_with_dict_instead_of_id(self): self.client.diff({'Id': fake_api.FAKE_CONTAINER_ID}) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/changes', timeout=DEFAULT_TIMEOUT_SECONDS ) def test_port(self): self.client.port({'Id': fake_api.FAKE_CONTAINER_ID}, 1111) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/json', timeout=DEFAULT_TIMEOUT_SECONDS ) def test_stop_container(self): timeout = 2 self.client.stop(fake_api.FAKE_CONTAINER_ID, timeout=timeout) fake_request.assert_called_with( 'POST', url_prefix + 'containers/3cc2351ab11b/stop', params={'t': timeout}, timeout=(DEFAULT_TIMEOUT_SECONDS + timeout) ) def test_stop_container_with_dict_instead_of_id(self): timeout = 2 self.client.stop({'Id': fake_api.FAKE_CONTAINER_ID}, timeout=timeout) fake_request.assert_called_with( 'POST', url_prefix + 'containers/3cc2351ab11b/stop', params={'t': timeout}, timeout=(DEFAULT_TIMEOUT_SECONDS + timeout) ) def test_pause_container(self): self.client.pause(fake_api.FAKE_CONTAINER_ID) fake_request.assert_called_with( 'POST', url_prefix + 'containers/3cc2351ab11b/pause', timeout=(DEFAULT_TIMEOUT_SECONDS) ) def test_unpause_container(self): self.client.unpause(fake_api.FAKE_CONTAINER_ID) fake_request.assert_called_with( 'POST', url_prefix + 'containers/3cc2351ab11b/unpause', timeout=(DEFAULT_TIMEOUT_SECONDS) ) def test_kill_container(self): self.client.kill(fake_api.FAKE_CONTAINER_ID) fake_request.assert_called_with( 'POST', url_prefix + 'containers/3cc2351ab11b/kill', params={}, timeout=DEFAULT_TIMEOUT_SECONDS ) def test_kill_container_with_dict_instead_of_id(self): self.client.kill({'Id': fake_api.FAKE_CONTAINER_ID}) fake_request.assert_called_with( 'POST', url_prefix + 'containers/3cc2351ab11b/kill', params={}, timeout=DEFAULT_TIMEOUT_SECONDS ) def test_kill_container_with_signal(self): self.client.kill(fake_api.FAKE_CONTAINER_ID, signal=signal.SIGTERM) fake_request.assert_called_with( 'POST', url_prefix + 'containers/3cc2351ab11b/kill', params={'signal': signal.SIGTERM}, timeout=DEFAULT_TIMEOUT_SECONDS ) def test_restart_container(self): self.client.restart(fake_api.FAKE_CONTAINER_ID, timeout=2) fake_request.assert_called_with( 'POST', url_prefix + 'containers/3cc2351ab11b/restart', params={'t': 2}, timeout=(DEFAULT_TIMEOUT_SECONDS + 2) ) def test_restart_container_with_dict_instead_of_id(self): self.client.restart({'Id': fake_api.FAKE_CONTAINER_ID}, timeout=2) fake_request.assert_called_with( 'POST', url_prefix + 'containers/3cc2351ab11b/restart', params={'t': 2}, timeout=(DEFAULT_TIMEOUT_SECONDS + 2) ) def test_remove_container(self): self.client.remove_container(fake_api.FAKE_CONTAINER_ID) fake_request.assert_called_with( 'DELETE', url_prefix + 'containers/3cc2351ab11b', params={'v': False, 'link': False, 'force': False}, timeout=DEFAULT_TIMEOUT_SECONDS ) def test_remove_container_with_dict_instead_of_id(self): self.client.remove_container({'Id': fake_api.FAKE_CONTAINER_ID}) fake_request.assert_called_with( 'DELETE', url_prefix + 'containers/3cc2351ab11b', params={'v': False, 'link': False, 'force': False}, timeout=DEFAULT_TIMEOUT_SECONDS ) def test_export(self): self.client.export(fake_api.FAKE_CONTAINER_ID) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/export', stream=True, timeout=DEFAULT_TIMEOUT_SECONDS ) def test_export_with_dict_instead_of_id(self): self.client.export({'Id': fake_api.FAKE_CONTAINER_ID}) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/export', stream=True, timeout=DEFAULT_TIMEOUT_SECONDS ) def test_inspect_container(self): self.client.inspect_container(fake_api.FAKE_CONTAINER_ID) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/json', timeout=DEFAULT_TIMEOUT_SECONDS ) def test_inspect_container_undefined_id(self): for arg in None, '', {True: True}: with pytest.raises(docker.errors.NullResource) as excinfo: self.client.inspect_container(arg) assert excinfo.value.args[0] == 'Resource ID was not provided' def test_container_stats(self): self.client.stats(fake_api.FAKE_CONTAINER_ID) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/stats', timeout=60, stream=True ) def test_container_top(self): self.client.top(fake_api.FAKE_CONTAINER_ID) fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/top', params={}, timeout=DEFAULT_TIMEOUT_SECONDS ) def test_container_top_with_psargs(self): self.client.top(fake_api.FAKE_CONTAINER_ID, 'waux') fake_request.assert_called_with( 'GET', url_prefix + 'containers/3cc2351ab11b/top', params={'ps_args': 'waux'}, timeout=DEFAULT_TIMEOUT_SECONDS ) @requires_api_version('1.22') def test_container_update(self): self.client.update_container( fake_api.FAKE_CONTAINER_ID, mem_limit='2k', cpu_shares=124, blkio_weight=345 ) args = fake_request.call_args assert args[0][1] == url_prefix + 'containers/3cc2351ab11b/update' assert json.loads(args[1]['data']) == { 'Memory': 2 * 1024, 'CpuShares': 124, 'BlkioWeight': 345 } assert args[1]['headers']['Content-Type'] == 'application/json'

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Python

sdk/communication/azure-communication-identity/tests/test_communication_identity_client_async.py

beltr0n/azure-sdk-for-python

2f7fb8bee881b0fc0386a0ad5385755ceedd0453

[ "MIT" ]

1

2021-04-30T04:44:41.000Z

sdk/communication/azure-communication-identity/tests/test_communication_identity_client_async.py

beltr0n/azure-sdk-for-python

2f7fb8bee881b0fc0386a0ad5385755ceedd0453

[ "MIT" ]

4

2019-04-17T17:57:49.000Z

2020-04-24T21:11:22.000Z

sdk/communication/azure-communication-identity/tests/test_communication_identity_client_async.py

beltr0n/azure-sdk-for-python

2f7fb8bee881b0fc0386a0ad5385755ceedd0453

[ "MIT" ]

1

2019-04-05T18:17:43.000Z

# coding: utf-8 # ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- import pytest import datetime from azure.core.credentials import AccessToken from azure.communication.identity.aio import CommunicationIdentityClient from azure.communication.identity import CommunicationTokenScope from azure.communication.identity._shared.utils import parse_connection_str from azure_devtools.scenario_tests import RecordingProcessor from devtools_testutils import ResourceGroupPreparer from _shared.helper import URIIdentityReplacer from _shared.asynctestcase import AsyncCommunicationTestCase from _shared.testcase import BodyReplacerProcessor from _shared.communication_service_preparer import CommunicationPreparer from _shared.utils import get_http_logging_policy from azure.identity import DefaultAzureCredential class FakeTokenCredential(object): def __init__(self): self.token = AccessToken("Fake Token", 0) def get_token(self, *args): return self.token class CommunicationIdentityClientTestAsync(AsyncCommunicationTestCase): def setUp(self): super(CommunicationIdentityClientTestAsync, self).setUp() self.recording_processors.extend([ BodyReplacerProcessor(keys=["id", "token"]), URIIdentityReplacer()]) @CommunicationPreparer() async def test_create_user_from_managed_identity(self, communication_connection_string): endpoint, access_key = parse_connection_str(communication_connection_string) from devtools_testutils import is_live if not is_live(): credential = FakeTokenCredential() else: credential = DefaultAzureCredential() identity_client = CommunicationIdentityClient( endpoint, credential, http_logging_policy=get_http_logging_policy() ) async with identity_client: user = await identity_client.create_user() assert user.properties.get('id') is not None @CommunicationPreparer() async def test_create_user(self, communication_connection_string): identity_client = CommunicationIdentityClient.from_connection_string( communication_connection_string, http_logging_policy=get_http_logging_policy() ) async with identity_client: user = await identity_client.create_user() assert user.properties.get('id') is not None @CommunicationPreparer() async def test_create_user_and_token(self, communication_connection_string): identity_client = CommunicationIdentityClient.from_connection_string( communication_connection_string, http_logging_policy=get_http_logging_policy() ) async with identity_client: user, token_response = await identity_client.create_user_and_token(scopes=[CommunicationTokenScope.CHAT]) assert user.properties.get('id') is not None assert token_response.token is not None @CommunicationPreparer() async def test_get_token_from_managed_identity(self, communication_connection_string): endpoint, access_key = parse_connection_str(communication_connection_string) from devtools_testutils import is_live if not is_live(): credential = FakeTokenCredential() else: credential = DefaultAzureCredential() identity_client = CommunicationIdentityClient( endpoint, credential, http_logging_policy=get_http_logging_policy() ) async with identity_client: user = await identity_client.create_user() token_response = await identity_client.get_token(user, scopes=[CommunicationTokenScope.CHAT]) assert user.properties.get('id') is not None assert token_response.token is not None @CommunicationPreparer() async def test_get_token(self, communication_connection_string): identity_client = CommunicationIdentityClient.from_connection_string( communication_connection_string, http_logging_policy=get_http_logging_policy() ) async with identity_client: user = await identity_client.create_user() token_response = await identity_client.get_token(user, scopes=[CommunicationTokenScope.CHAT]) assert user.properties.get('id') is not None assert token_response.token is not None @CommunicationPreparer() async def test_revoke_tokens_from_managed_identity(self, communication_connection_string): endpoint, access_key = parse_connection_str(communication_connection_string) from devtools_testutils import is_live if not is_live(): credential = FakeTokenCredential() else: credential = DefaultAzureCredential() identity_client = CommunicationIdentityClient( endpoint, credential, http_logging_policy=get_http_logging_policy() ) async with identity_client: user = await identity_client.create_user() token_response = await identity_client.get_token(user, scopes=[CommunicationTokenScope.CHAT]) await identity_client.revoke_tokens(user) assert user.properties.get('id') is not None assert token_response.token is not None @CommunicationPreparer() async def test_revoke_tokens(self, communication_connection_string): identity_client = CommunicationIdentityClient.from_connection_string( communication_connection_string, http_logging_policy=get_http_logging_policy() ) async with identity_client: user = await identity_client.create_user() token_response = await identity_client.get_token(user, scopes=[CommunicationTokenScope.CHAT]) await identity_client.revoke_tokens(user) assert user.properties.get('id') is not None assert token_response.token is not None @CommunicationPreparer() async def test_delete_user_from_managed_identity(self, communication_connection_string): endpoint, access_key = parse_connection_str(communication_connection_string) from devtools_testutils import is_live if not is_live(): credential = FakeTokenCredential() else: credential = DefaultAzureCredential() identity_client = CommunicationIdentityClient( endpoint, credential, http_logging_policy=get_http_logging_policy() ) async with identity_client: user = await identity_client.create_user() await identity_client.delete_user(user) assert user.properties.get('id') is not None @CommunicationPreparer() async def test_delete_user(self, communication_connection_string): identity_client = CommunicationIdentityClient.from_connection_string( communication_connection_string, http_logging_policy=get_http_logging_policy() ) async with identity_client: user = await identity_client.create_user() await identity_client.delete_user(user) assert user.properties.get('id') is not None @CommunicationPreparer() async def test_create_user_and_token_with_no_scopes(self, communication_connection_string): identity_client = CommunicationIdentityClient.from_connection_string( communication_connection_string, http_logging_policy=get_http_logging_policy() ) async with identity_client: with pytest.raises(Exception) as ex: user, token_response = await identity_client.create_user_and_token(scopes=None) @CommunicationPreparer() async def test_delete_user_with_no_user(self, communication_connection_string): identity_client = CommunicationIdentityClient.from_connection_string( communication_connection_string, http_logging_policy=get_http_logging_policy() ) async with identity_client: with pytest.raises(Exception) as ex: await identity_client.delete_user(user=None) @CommunicationPreparer() async def test_revoke_tokens_with_no_user(self, communication_connection_string): identity_client = CommunicationIdentityClient.from_connection_string( communication_connection_string, http_logging_policy=get_http_logging_policy() ) async with identity_client: with pytest.raises(Exception) as ex: await identity_client.revoke_tokens(user=None) @CommunicationPreparer() async def test_get_token_with_no_user(self, communication_connection_string): identity_client = CommunicationIdentityClient.from_connection_string( communication_connection_string, http_logging_policy=get_http_logging_policy() ) async with identity_client: with pytest.raises(Exception) as ex: token_response = await identity_client.get_token(user=None, scopes=[CommunicationTokenScope.CHAT]) @CommunicationPreparer() async def test_get_token_with_no_scopes(self, communication_connection_string): identity_client = CommunicationIdentityClient.from_connection_string( communication_connection_string, http_logging_policy=get_http_logging_policy() ) async with identity_client: with pytest.raises(Exception) as ex: user = await identity_client.create_user() token_response = await identity_client.get_token(user, scopes=None)

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6

8a831e85f5fb5998aaaf4817aaef2e78765f9f7a

2,251

py

Python

gaphor/storage/tests/test_xmlwriter.py

MartinIIOT/gaphor

b08bf6ddb8c92ec87fccabc2ddee697609f73e67

[ "Apache-2.0" ]

867

2018-01-09T00:19:09.000Z

2022-03-31T02:49:23.000Z

gaphor/storage/tests/test_xmlwriter.py

burakozturk16/gaphor

86267a5200ac4439626d35d306dbb376c3800107

[ "Apache-2.0" ]

790

2018-01-13T23:47:07.000Z

2022-03-31T16:04:27.000Z

gaphor/storage/tests/test_xmlwriter.py

burakozturk16/gaphor

86267a5200ac4439626d35d306dbb376c3800107

[ "Apache-2.0" ]

117

2018-01-09T02:24:49.000Z

2022-03-23T08:07:42.000Z

import sys from gaphor.storage.xmlwriter import XMLWriter class Writer: def __init__(self): self.s = "" def write(self, text): self.s += text def test_elements_1(): w = Writer() xml_w = XMLWriter(w) xml_w.startDocument() xml_w.startElement("foo", {}) xml_w.endElement("foo") xml = """<?xml version="1.0" encoding="%s"?>\n<foo/>""" % sys.getdefaultencoding() assert w.s == xml, w.s + " != " + xml def test_elements_2(): w = Writer() xml_w = XMLWriter(w) xml_w.startDocument() xml_w.startElement("foo", {}) xml_w.startElement("bar", {}) xml_w.endElement("bar") xml_w.endElement("foo") xml = ( """<?xml version="1.0" encoding="%s"?>\n<foo>\n<bar/>\n</foo>""" % sys.getdefaultencoding() ) assert w.s == xml, w.s def test_elements_test(): w = Writer() xml_w = XMLWriter(w) xml_w.startDocument() xml_w.startElement("foo", {}) xml_w.startElement("bar", {}) xml_w.characters("hello") xml_w.endElement("bar") xml_w.endElement("foo") xml = ( """<?xml version="1.0" encoding="%s"?>\n<foo>\n<bar>hello</bar>\n</foo>""" % sys.getdefaultencoding() ) assert w.s == xml, w.s def test_elements_ns_default(): w = Writer() xml_w = XMLWriter(w) xml_w.startDocument() xml_w.startPrefixMapping(None, "http://gaphor.devjavu.com/schema") xml_w.startElementNS(("http://gaphor.devjavu.com/schema", "foo"), "qn", {}) xml_w.endElementNS(("http://gaphor.devjavu.com/schema", "foo"), "qn") xml = ( """<?xml version="1.0" encoding="%s"?>\n<foo xmlns="http://gaphor.devjavu.com/schema"/>""" % sys.getdefaultencoding() ) assert w.s == xml, w.s def test_elements_ns_1(): w = Writer() xml_w = XMLWriter(w) xml_w.startDocument() xml_w.startPrefixMapping("g", "http://gaphor.devjavu.com/schema") xml_w.startElementNS(("http://gaphor.devjavu.com/schema", "foo"), "qn", {}) xml_w.endElementNS(("http://gaphor.devjavu.com/schema", "foo"), "qn") xml = ( """<?xml version="1.0" encoding="%s"?>\n<g:foo xmlns:g="http://gaphor.devjavu.com/schema"/>""" % sys.getdefaultencoding() ) assert w.s == xml, w.s

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0a03d4dff3710de039d3ea4e8d2d9b9c5c8e0907

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py

Python

code/helloworld.py

tvek/MyKerasAPI

5b64e7a38109e22af1de987e6eda89187b5dd9ab

[ "Apache-2.0" ]

null

code/helloworld.py

tvek/MyKerasAPI

5b64e7a38109e22af1de987e6eda89187b5dd9ab

[ "Apache-2.0" ]

null

code/helloworld.py

tvek/MyKerasAPI

5b64e7a38109e22af1de987e6eda89187b5dd9ab

[ "Apache-2.0" ]

null

from keras.models import Sequential from keras.layers import Dense, Activation

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6

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163

py

Python

iotbx/cns/xray_structure.py

rimmartin/cctbx_project

644090f9432d9afc22cfb542fc3ab78ca8e15e5d

[ "BSD-3-Clause-LBNL" ]

null

iotbx/cns/xray_structure.py

rimmartin/cctbx_project

644090f9432d9afc22cfb542fc3ab78ca8e15e5d

[ "BSD-3-Clause-LBNL" ]

null

iotbx/cns/xray_structure.py

rimmartin/cctbx_project

644090f9432d9afc22cfb542fc3ab78ca8e15e5d

[ "BSD-3-Clause-LBNL" ]

null

from __future__ import division from iotbx.cns import sdb_writer from cctbx import xray xray.structure.as_cns_sdb_file = sdb_writer.xray_structure_as_cns_sdb_file

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6

0a391283064d7a62a409ca80fd699d597b134ca2

40

py

Python

chakin/__init__.py

massongit/chakin

8cca89336fbc1e90f95063003b2241c26da0e5bc

[ "MIT" ]

334

2017-05-24T10:14:33.000Z

2022-03-12T06:53:36.000Z

chakin/__init__.py

massongit/chakin

8cca89336fbc1e90f95063003b2241c26da0e5bc

[ "MIT" ]

13

2017-05-24T12:34:16.000Z

2019-07-19T22:31:46.000Z

chakin/__init__.py

massongit/chakin

8cca89336fbc1e90f95063003b2241c26da0e5bc

[ "MIT" ]

48

2017-05-31T00:34:56.000Z

2022-03-01T23:05:55.000Z

from .downloader import download, search

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6

0a46ebcc663003831ebc1b4e6726efa39fe2e74e

23,147

py

Python

coremltools/converters/mil/mil/ops/tests/test_elementwise_unary.py

seibert/coremltools

609188ebcfee2178293f0d4e93a5af2995c88645

[ "BSD-3-Clause" ]

null

coremltools/converters/mil/mil/ops/tests/test_elementwise_unary.py

seibert/coremltools

609188ebcfee2178293f0d4e93a5af2995c88645

[ "BSD-3-Clause" ]

null

coremltools/converters/mil/mil/ops/tests/test_elementwise_unary.py

seibert/coremltools

609188ebcfee2178293f0d4e93a5af2995c88645

[ "BSD-3-Clause" ]

null

# Copyright (c) 2020, Apple Inc. All rights reserved. # # Use of this source code is governed by a BSD-3-clause license that can be # found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause import scipy from scipy import special from coremltools.converters.mil import testing_reqs from coremltools.converters.mil.testing_reqs import * from .testing_utils import run_compare_builder backends = testing_reqs.backends class TestElementwiseUnary: # All ops in this test share the same backends @pytest.mark.parametrize( "use_cpu_for_conversion, backend, mode", itertools.product( [True, False], backends, [ "abs", "acos", "asin", "atan", "atanh", "exp2", "clip", "cos", "cosh", "erf", "exp", "erf", "floor", "inverse", "log", "round", "rsqrt", "sign", "sin", "sinh", "sqrt", "square", "tan", "tanh", "threshold", "cast", ], ), ) def test_builder_to_backend_smoke(self, use_cpu_for_conversion, backend, mode): if backend == "mlprogram" and not use_cpu_for_conversion and mode == "cast": pytest.xfail("rdar://78343191 ((MIL GPU) Core ML Tools Unit Test failures [failure to load or Seg fault])") if mode == "abs": val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) expected_outputs = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32) build = lambda x: mb.abs(x=x) elif mode == "acos": val = np.array([[-1, -0.5, 0], [0.4, 0.5, 0.8]], dtype=np.float32) expected_outputs = np.array( [ [3.14159265, 2.0943951, 1.57079633], [1.15927948, 1.04719755, 0.64350111], ], dtype=np.float32, ) build = lambda x: mb.acos(x=x) elif mode == "asin": val = np.array([[-1, -0.5, 0], [0.4, 0.5, 0.8]], dtype=np.float32) expected_outputs = np.array( [[-1.57079633, -0.52359878, 0.0], [0.41151685, 0.52359878, 0.92729522]], dtype=np.float32, ) build = lambda x: mb.asin(x=x) elif mode == "atan": val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) expected_outputs = np.array( [ [-0.78539816, 1.10714872, -1.24904577], [1.32581766, -1.37340077, 1.40564765], ], dtype=np.float32, ) build = lambda x: mb.atan(x=x) elif mode == "atanh": val = np.array([[-0.8, -0.5, 0], [0.4, 0.5, 0.8]], dtype=np.float32) expected_outputs = np.array( [[-1.09861229, -0.54930614, 0.0], [0.42364893, 0.54930614, 1.09861229]], dtype=np.float32, ) build = lambda x: mb.atanh(x=x) elif mode == "cast": val = np.array([[-1.2, 2, -3.6], [4.5, -5, 6.7]], dtype=np.float32) expected_outputs = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.int32) build = lambda x: mb.cast(x=x, dtype="int32") elif mode == "ceil": val = np.array([[-1.2, 2, -3.4], [4.5, -5, 6.7]], dtype=np.float32) expected_outputs = np.array([[-1, 2, -3], [5, -5, 7]], dtype=np.float32) build = lambda x: mb.ceil(x=x) elif mode == "clip": val = np.array([[-1.2, 2, -3.4], [4.5, -5, 6.7]], dtype=np.float32) expected_outputs = np.array([[0, 2, 0], [4.5, 0, 5]], dtype=np.float32) build = lambda x: mb.clip(x=x, alpha=0.0, beta=5.0) elif mode == "cos": val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) expected_outputs = np.array( [ [0.54030231, -0.41614684, -0.9899925], [-0.65364362, 0.28366219, 0.96017029], ], dtype=np.float32, ) build = lambda x: mb.cos(x=x) elif mode == "cosh": val = np.array([[-1, -2, -3], [1, 2, 3]], dtype=np.float32) expected_outputs = np.array( [ [1.54308063, 3.76219569, 10.067662], [1.54308063, 3.76219569, 10.067662], ], dtype=np.float32, ) build = lambda x: mb.cosh(x=x) elif mode == "erf": val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) expected_outputs = np.array( [ [-0.8427007929497148, 0.9953222650189527, -0.9999779095030014], [0.9999999845827421, -0.9999999999984626, 1.0], ], dtype=np.float32, ) build = lambda x: mb.erf(x=x) elif mode == "exp": val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) expected_outputs = np.array( [ [0.36787944, 7.3890561, 0.04978707], [54.5981500, 0.0067379, 403.428793], ], dtype=np.float32, ) build = lambda x: mb.exp(x=x) elif mode == "exp2": val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) expected_outputs = np.array( [[0.5, 4.0, 0.125], [16, 0.03125, 64]], dtype=np.float32 ) build = lambda x: mb.exp2(x=x) elif mode == "floor": val = np.array([[-1.2, 2, -3.4], [4.5, -5, 6.7]], dtype=np.float32) expected_outputs = np.array([[-2, 2, -4], [4, -5, 6]], dtype=np.float32) build = lambda x: mb.floor(x=x) elif mode == "inverse": val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) expected_outputs = np.array( [[-1.0, 0.5, -0.33333334], [0.25, -0.2, 0.16666667]], dtype=np.float32 ) build = lambda x: mb.inverse(x=x) elif mode == "log": val = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32) expected_outputs = np.array( [[0.0, 0.69314718, 1.09861229], [1.38629436, 1.60943791, 1.79175947]], dtype=np.float32, ) build = lambda x: mb.log(x=x) elif mode == "round": val = np.array([[-1.2, 2, -3.4], [4.6, -5, 6.7]], dtype=np.float32) expected_outputs = np.array([[-1, 2, -3], [5, -5, 7]], dtype=np.float32) build = lambda x: mb.round(x=x) elif mode == "rsqrt": val = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32) expected_outputs = np.array( [[1.0, 0.70710678, 0.57735027], [0.5, 0.4472136, 0.40824829]], dtype=np.float32, ) build = lambda x: mb.rsqrt(x=x) elif mode == "sign": val = np.array([[-1, 2, 0], [0, -5, 6]], dtype=np.float32) expected_outputs = np.array([[-1, 1, 0], [0, -1, 1]], dtype=np.float32) build = lambda x: mb.sign(x=x) elif mode == "sin": val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) expected_outputs = np.array( [ [-0.84147098, 0.90929743, -0.14112001], [-0.7568025, 0.95892427, -0.2794155], ], dtype=np.float32, ) build = lambda x: mb.sin(x=x) elif mode == "sinh": val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) expected_outputs = np.array( [[-1.1752, 3.62686, -10.017874], [27.289917, -74.20321, 201.71315]], dtype=np.float32, ) build = lambda x: mb.sinh(x=x) elif mode == "sqrt": val = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32) expected_outputs = np.array( [[1.0, 1.41421356, 1.73205081], [2.0, 2.23606798, 2.44948974]], dtype=np.float32, ) build = lambda x: mb.sqrt(x=x) elif mode == "square": val = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32) expected_outputs = np.array( [[1.0, 4.0, 9.0], [16.0, 25.0, 36.]], dtype=np.float32, ) build = lambda x: mb.square(x=x) elif mode == "tan": val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) expected_outputs = np.array( [[-1.5574, -2.185, 0.1425], [1.15782, 3.3805, -0.291]], dtype=np.float32 ) build = lambda x: mb.tan(x=x) elif mode == "tanh": val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) expected_outputs = np.array( [ [-0.7615942, 0.9640276, -0.9950548], [0.9993293, -0.9999092, 0.9999877], ], dtype=np.float32, ) build = lambda x: mb.tanh(x=x) elif mode == "threshold": val = np.array([[-1.2, 2, -3.4], [4.5, -5, 6.7]], dtype=np.float32) expected_outputs = np.array( [[1.0, 2, 1.0], [4.5, 1.0, 6.7]], dtype=np.float32 ) build = lambda x: mb.threshold(x=x, alpha=1.0) input_placeholders = {"x": mb.placeholder(shape=val.shape)} input_values = {"x": val} expected_output_types = ( (2, 3, types.int32) if mode == "cast" else (2, 3, types.fp32) ) run_compare_builder( build, input_placeholders, input_values, expected_output_types, expected_outputs, use_cpu_only=use_cpu_for_conversion, frontend_only=False, backend=backend, use_cpu_for_conversion=use_cpu_for_conversion, ) @ssa_fn def test_builder_abs_eval(self): val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) v = mb.abs(x=val) expected_outputs = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_acos_eval(self): val = np.array([[-1, -0.5, 0], [0.4, 0.5, 0.8]], dtype=np.float32) v = mb.acos(x=val) expected_outputs = np.array( [[3.14159265, 2.0943951, 1.57079633], [1.15927948, 1.04719755, 0.64350111]], dtype=np.float32, ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_asin_eval(self): val = np.array([[-1, -0.5, 0], [0.4, 0.5, 0.8]], dtype=np.float32) v = mb.asin(x=val) expected_outputs = np.array( [[-1.57079633, -0.52359878, 0.0], [0.41151685, 0.52359878, 0.92729522]], dtype=np.float32, ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_atan_eval(self): val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) v = mb.atan(x=val) expected_outputs = np.array( [ [-0.78539816, 1.10714872, -1.24904577], [1.32581766, -1.37340077, 1.40564765], ], dtype=np.float32, ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_atanh_eval(self): val = np.array([[-0.8, -0.5, 0], [0.4, 0.5, 0.8]], dtype=np.float32) v = mb.atanh(x=val) expected_outputs = np.array( [[-1.09861229, -0.54930614, 0.0], [0.42364893, 0.54930614, 1.09861229]], dtype=np.float32, ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_cast_eval(self): val = np.array([[-1.2, 2, -3.4], [4.5, -5, 6.7]], dtype=np.float32) expected_outputs = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.int32) v = mb.cast(x=val, dtype="int32") assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_ceil_eval(self): val = np.array([[-1.2, 2, -3.4], [4.5, -5, 6.7]], dtype=np.float32) v = mb.ceil(x=val) expected_outputs = np.array([[-1, 2, -3], [5, -5, 7]], dtype=np.float32) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_clip_eval(self): val = np.array([[-1.2, 2, -3.4], [4.5, -5, 6.7]], dtype=np.float32) v = mb.clip(x=val, alpha=0.0, beta=5.0) expected_outputs = np.array([[0, 2, 0], [4.5, 0, 5]], dtype=np.float32) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_cos_eval(self): val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) v = mb.cos(x=val) expected_outputs = np.array( [ [0.54030231, -0.41614684, -0.9899925], [-0.65364362, 0.28366219, 0.96017029], ], dtype=np.float32, ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_cosh_eval(self): val = np.array([[-1, -2, -3], [1, 2, 3]], dtype=np.float32) v = mb.cosh(x=val) expected_outputs = np.array( [[1.54308063, 3.76219569, 10.067662], [1.54308063, 3.76219569, 10.067662]], dtype=np.float32, ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_erf_eval(self): x_val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) v = mb.erf(x=x_val) assert is_close(scipy.special.erf(x_val), v.val) @ssa_fn def test_builder_exp_eval(self): val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) v = mb.exp(x=val) expected_outputs = np.array( [[0.36787944, 7.3890561, 0.04978707], [54.5981500, 0.0067379, 403.428793]], dtype=np.float32, ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_exp2_eval(self): val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) v = mb.exp2(x=val) expected_outputs = np.array( [[0.5, 4.0, 0.125], [16, 0.03125, 64]], dtype=np.float32 ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_floor_eval(self): val = np.array([[-1.2, 2, -3.4], [4.5, -5, 6.7]], dtype=np.float32) v = mb.floor(x=val) expected_outputs = np.array([[-2, 2, -4], [4, -5, 6]], dtype=np.float32) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_inverse_eval(self): val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) v = mb.inverse(x=val) expected_outputs = np.array( [[-1.0, 0.5, -0.33333334], [0.25, -0.2, 0.16666667]], dtype=np.float32 ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_log_eval(self): val = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32) v = mb.log(x=val) expected_outputs = np.array( [[0.0, 0.69314718, 1.09861229], [1.38629436, 1.60943791, 1.79175947]], dtype=np.float32, ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_round_eval(self): val = np.array([[-1.2, 2, -3.4], [4.6, -5, 6.7]], dtype=np.float32) v = mb.round(x=val) expected_outputs = np.array([[-1, 2, -3], [5, -5, 7]], dtype=np.float32) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_rsqrt_eval(self): val = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32) v = mb.rsqrt(x=val) expected_outputs = np.array( [[1.0, 0.70710678, 0.57735027], [0.5, 0.4472136, 0.40824829]], dtype=np.float32, ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_sign_eval(self): val = np.array([[-1, 2, 0], [0, -5, 6]], dtype=np.float32) v = mb.sign(x=val) expected_outputs = np.array([[-1, 1, 0], [0, -1, 1]], dtype=np.float32) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_sin_eval(self): val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) v = mb.sin(x=val) expected_outputs = np.array( [ [-0.84147098, 0.90929743, -0.14112001], [-0.7568025, 0.95892427, -0.2794155], ], dtype=np.float32, ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_sinh_eval(self): val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) v = mb.sinh(x=val) expected_outputs = np.array( [[-1.1752, 3.62686, -10.017874], [27.289917, -74.20321, 201.71315]], dtype=np.float32, ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_sqrt_eval(self): val = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32) v = mb.sqrt(x=val) expected_outputs = np.array( [[1.0, 1.41421356, 1.73205081], [2.0, 2.23606798, 2.44948974]], dtype=np.float32, ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_tan_eval(self): val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) v = mb.tan(x=val) expected_outputs = np.array( [[-1.5574, -2.185, 0.1425], [1.15782, 3.3805, -0.291]], dtype=np.float32 ) assert is_close(expected_outputs, v.val) @ssa_fn def test_builder_tanh_eval(self): x_val = np.array([[-1, 2, -3], [4, -5, 6]], dtype=np.float32) v = mb.tanh(x=x_val) assert is_close(np.tanh(x_val), v.val) @ssa_fn def test_builder_threshold_eval(self): val = np.array([[-1.2, 2, -3.4], [4.5, -5, 6.7]], dtype=np.float32) v = mb.threshold(x=val, alpha=1.0) expected_outputs = np.array([[1.0, 2, 1.0], [4.5, 1.0, 6.7]], dtype=np.float32) assert is_close(expected_outputs, v.val) @pytest.mark.parametrize( "use_cpu_only, backend, epsilon", itertools.product( [True, False], backends, [1e-3, 1e-1, 1.0], ), ) def test_builder_to_backend_stress_inverse( self, use_cpu_only, backend, epsilon ): x = np.array([[1, -2, 3], [4, -5, 6]], dtype=np.float32) numpy_pred = 1 / (x + epsilon) input_placeholder_dict = {"x": mb.placeholder(shape=x.shape)} input_value_dict = {"x": x} def build(x): return mb.inverse(x=x, epsilon=epsilon) expected_output_type = x.shape + (types.fp32,) run_compare_builder( build, input_placeholder_dict, input_value_dict, expected_output_type, numpy_pred, use_cpu_only=use_cpu_only, frontend_only=False, backend=backend, ) @pytest.mark.parametrize( "use_cpu_only, backend, epsilon", itertools.product( [True, False], backends, [1e-3, 1e-1, 1.0], ), ) def test_builder_to_backend_stress_rsqrt( self, use_cpu_only, backend, epsilon ): x = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32) numpy_pred = 1.0 / np.sqrt(x + epsilon) input_placeholder_dict = {"x": mb.placeholder(shape=x.shape)} input_value_dict = {"x": x} def build(x): return mb.rsqrt(x=x, epsilon=epsilon) expected_output_type = x.shape + (types.fp32,) run_compare_builder( build, input_placeholder_dict, input_value_dict, expected_output_type, numpy_pred, use_cpu_only=use_cpu_only, frontend_only=False, backend=backend, ) @pytest.mark.parametrize( "use_cpu_only, backend, epsilon", itertools.product( [True, False], backends, [1e-3, 1e-1, 1.0], ), ) def test_builder_to_backend_stress_log( self, use_cpu_only, backend, epsilon ): if backend == "mlprogram" and not use_cpu_only: pytest.xfail("rdar://78343225 ((MIL GPU) Core ML Tools Unit Test failures [numerical error])") x = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32) numpy_pred = np.log(x + epsilon) input_placeholder_dict = {"x": mb.placeholder(shape=x.shape)} input_value_dict = {"x": x} def build(x): return mb.log(x=x, epsilon=epsilon) expected_output_type = x.shape + (types.fp32,) run_compare_builder( build, input_placeholder_dict, input_value_dict, expected_output_type, numpy_pred, use_cpu_only=use_cpu_only, frontend_only=False, backend=backend, ) @pytest.mark.parametrize( "use_cpu_for_conversion, backend, src_dst", itertools.product( [True, False], backends, [("fp32", "int32"), ("fp16", "fp32"), ("fp32", "fp16"), ("fp16", "int32")], ), ) def test_builder_to_backend_stress_cast( self, use_cpu_for_conversion, backend, src_dst ): if backend == "mlprogram" and not use_cpu_for_conversion: pytest.xfail("rdar://78343191 ((MIL GPU) Core ML Tools Unit Test failures [failure to load or Seg fault])") src_dtype, dst_dtype = src_dst type_map = { "int32": np.int32, "int64": np.int64, "fp16": np.float16, "fp32": np.float32, "fp64": np.float64, "bool": np.bool, } x = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32) numpy_pred = x.astype(dtype=np.float16) input_placeholder_dict = {"x": mb.placeholder(shape=x.shape)} input_value_dict = {"x": x} def build(x): x = mb.cast(x=x, dtype=src_dtype) x = mb.square(x=x) x = mb.cast(x=x, dtype=dst_dtype) x = mb.sqrt(x=x) x = mb.cast(x=x, dtype="fp32") return x expected_output_type = x.shape + (types.fp32,) run_compare_builder( build, input_placeholder_dict, input_value_dict, expected_output_type, numpy_pred, use_cpu_only=use_cpu_for_conversion, frontend_only=False, backend=backend, use_cpu_for_conversion=use_cpu_for_conversion, )

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1

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6

0a6f4685d41cc794eee33db690c3dd09f64d80cf

8,416

py

Python

exploits/primes.py

enowars/enowars3-service-telescopy

191591ed6d96d081334250f4ed997f18d9da2941

[ "MIT" ]

null

exploits/primes.py

enowars/enowars3-service-telescopy

191591ed6d96d081334250f4ed997f18d9da2941

[ "MIT" ]

null

exploits/primes.py

enowars/enowars3-service-telescopy

191591ed6d96d081334250f4ed997f18d9da2941

[ "MIT" ]

null

prime_tickets = [800000005333, 800000005361, 800000005369, 800000005403, 800000005421, 800000005451, 800000005507, 800000005517, 800000005547, 800000005549, 800000005559, 800000005577, 800000005579, 800000005589, 800000005621, 800000005633, 800000005657, 800000005667, 800000005687, 800000005711, 800000005747, 800000005757, 800000005799, 800000005817, 800000005829, 800000005843, 800000005891, 800000005901, 800000005913, 800000005967, 800000005997, 800000006021, 800000006059, 800000006077, 800000006081, 800000006107, 800000006159, 800000006209, 800000006227, 800000006231, 800000006251, 800000006269, 800000006339, 800000006363, 800000006371, 800000006387, 800000006447, 800000006473, 800000006501, 800000006537, 800000006569, 800000006573, 800000006579, 800000006587, 800000006621, 800000006629, 800000006647, 800000006681, 800000006731, 800000006737, 800000006807, 800000006831, 800000006837, 800000006881, 800000006891, 800000006903, 800000006987, 800000007029, 800000007077, 800000007083, 800000007097, 800000007119, 800000007181, 800000007199, 800000007211, 800000007307, 800000007311, 800000007343, 800000007353, 800000007361, 800000007397, 800000007409, 800000007427, 800000007449, 800000007461, 800000007463, 800000007497, 800000007517, 800000007523, 800000007551, 800000007559, 800000007563, 800000007601, 800000007613, 800000007637, 800000007649, 800000007661, 800000007679, 800000007683, 800000007701, 800000007803, 800000007839, 800000007893, 800000007907, 800000007973, 800000008033, 800000008069, 800000008103, 800000008109, 800000008147, 800000008169, 800000008177, 800000008309, 800000008363, 800000008387, 800000008417, 800000008429, 800000008433, 800000008447, 800000008469, 800000008501, 800000008517, 800000008547, 800000008583, 800000008607, 800000008657, 800000008667, 800000008681, 800000008693, 800000008721, 800000008729, 800000008733, 800000008741, 800000008789, 800000008849, 800000008861, 800000008883, 800000008903, 800000008921, 800000008939, 800000008949, 800000009021, 800000009051, 800000009059, 800000009087, 800000009131, 800000009191, 800000009197, 800000009209, 800000009273, 800000009287, 800000009321, 800000009329, 800000009353, 800000009371, 800000009437, 800000009443, 800000009477, 800000009503, 800000009533, 800000009603, 800000009621, 800000009651, 800000009689, 800000009707, 800000009723, 800000009729, 800000009747, 800000009773, 800000009797, 800000009827, 800000009833, 800000009909, 800000009911, 800000009917, 800000009953, 800000009957, 800000009959, 800000009999, 800000010049, 800000010077, 800000010097, 800000010101, 800000010119, 800000010149, 800000010169, 800000010181, 800000010191, 800000010203, 800000010247, 800000010253, 800000010259, 800000010343, 800000010349, 800000010361, 800000010391, 800000010401, 800000010413, 800000010521, 800000010527, 800000010529, 800000010553, 800000010571, 800000010577, 800000010583, 800000010599, 800000010613, 800000010617, 800000010647, 800000010713, 800000010721, 800000010767, 800000010829, 800000010871, 800000010893, 800000010913, 800000010989, 800000010991, 800000011037, 800000011067, 800000011073, 800000011081, 800000011093, 800000011123, 800000011127, 800000011147, 800000011159, 800000011171, 800000011201, 800000011229, 800000011273, 800000011319, 800000011333, 800000011351, 800000011403, 800000011409, 800000011423, 800000011477, 800000011487, 800000011513, 800000011543, 800000011549, 800000011567, 800000011583, 800000011651, 800000011663, 800000011667, 800000011691, 800000011693, 800000011709, 800000011717, 800000011739, 800000011781, 800000011861, 800000011883, 800000011901, 800000011913, 800000011919, 800000011973, 800000011981, 800000012003, 800000012023, 800000012047, 800000012059, 800000012137, 800000012191, 800000012213, 800000012237, 800000012243, 800000012263, 800000012269, 800000012281, 800000012293, 800000012321, 800000012347, 800000012353, 800000012363, 800000012401, 800000012419, 800000012423, 800000012443, 800000012491, 800000012501, 800000012521, 800000012563, 800000012569, 800000012611, 800000012621, 800000012653, 800000012663, 800000012701, 800000012711, 800000012719, 800000012729, 800000012783, 800000012963, 800000012969, 800000013011, 800000013019, 800000013037, 800000013041, 800000013091, 800000013107, 800000013119, 800000013143, 800000013161, 800000013229, 800000013251, 800000013257, 800000013259, 800000013331, 800000013341, 800000013343, 800000013377, 800000013391, 800000013401, 800000013403, 800000013419, 800000013479, 800000013499, 800000013557, 800000013611, 800000013679, 800000013691, 800000013727, 800000013733, 800000013751, 800000013781, 800000013809, 800000013811, 800000013833, 800000013847, 800000013851, 800000013919, 800000013949, 800000013979, 800000013997, 800000014003, 800000014031, 800000014097, 800000014129, 800000014133, 800000014169, 800000014181, 800000014183, 800000014207, 800000014211, 800000014237, 800000014241, 800000014277, 800000014361, 800000014381, 800000014417, 800000014507, 800000014519, 800000014531, 800000014559, 800000014591, 800000014637, 800000014643, 800000014663, 800000014717, 800000014733, 800000014739, 800000014741, 800000014747, 800000014787, 800000014969, 800000014991, 800000015039, 800000015041, 800000015047, 800000015149, 800000015197, 800000015219, 800000015233, 800000015249, 800000015263, 800000015323, 800000015329, 800000015371, 800000015387, 800000015401, 800000015467, 800000015471, 800000015473, 800000015527, 800000015729, 800000015761, 800000015779, 800000015849, 800000015861, 800000015863, 800000015897, 800000015921, 800000016043, 800000016071, 800000016097, 800000016103, 800000016119, 800000016121, 800000016187, 800000016229, 800000016241, 800000016251, 800000016281, 800000016301, 800000016359, 800000016383, 800000016493, 800000016527, 800000016539, 800000016577, 800000016671, 800000016677, 800000016679, 800000016691, 800000016709, 800000016727, 800000016763, 800000016793, 800000016847, 800000016859, 800000016877, 800000016889, 800000016941, 800000016953, 800000016961, 800000016967, 800000017013, 800000017079, 800000017081, 800000017087, 800000017127, 800000017133, 800000017147, 800000017169, 800000017213, 800000017217, 800000017237, 800000017303, 800000017307, 800000017319, 800000017321, 800000017379, 800000017433, 800000017457, 800000017489, 800000017513, 800000017519, 800000017547, 800000017573, 800000017613, 800000017651, 800000017669, 800000017681, 800000017699, 800000017717, 800000017727, 800000017759, 800000017783, 800000017801, 800000017807, 800000017841, 800000017849, 800000017889, 800000017903, 800000017907, 800000017931, 800000017961, 800000017967, 800000018003, 800000018117, 800000018123, 800000018131, 800000018179, 800000018189, 800000018243, 800000018249, 800000018263, 800000018267, 800000018309, 800000018347, 800000018371, 800000018381, 800000018401, 800000018407, 800000018429, 800000018443, 800000018471, 800000018497, 800000018507, 800000018537, 800000018549, 800000018561, 800000018593, 800000018611, 800000018647, 800000018651, 800000018669, 800000018677, 800000018737, 800000018743, 800000018767, 800000018813, 800000018833, 800000018837, 800000018861, 800000018893, 800000018941, 800000018969, 800000018977, 800000019011, 800000019043, 800000019073, 800000019103, 800000019107, 800000019127, 800000019157, 800000019163, 800000019179, 800000019209, 800000019233, 800000019239, 800000019283, 800000019289, 800000019307, 800000019331, 800000019367, 800000019391, 800000019473, 800000019487, 800000019493, 800000019503, 800000019527, 800000019541, 800000019569, 800000019571, 800000019601, 800000019613, 800000019647, 800000019659, 800000019671, 800000019761, 800000019769, 800000019773, 800000019779, 800000019829, 800000019851, 800000019877, 800000019881, 800000019937, 800000019943, 800000020003, 800000020033, 800000020037, 800000020093, 800000020103, 800000020111, 800000020117, 800000020151, 800000020181, 800000020201, 800000020207, 800000020217, 800000020247, 800000020357, 800000020387, 800000020433, 800000020439, 800000020453, 800000020483, 800000020493, 800000020507, 800000020511, 800000020517, 800000020537, 800000020571, 800000020577, 800000020601, 800000020663, 800000020667, 800000020669, 800000020691, 800000020763, 800000020783, 800000020811, 800000020819, 800000020849, 800000020861, 800000020931, 800000020933, 800000020969, 800000020979, 800000020999, 800000021033, 800000021057, 800000021063, 800000021089, 800000021131]

8,416

0.857058

602

8,416

11.980066

1

0

0.921305

0.071412

8,416

1

8,416

0.001536

0

1

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false

0

1

null

0

1

0

1

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null

0

6

6a54d5752812fe085f8e3cc478226da5962650be

21,196

py

Python

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/aio/_form_recognizer_client_async.py

LianwMS/azure-sdk-for-python

612d7bca9de86ee1bd1fa59291d7bf897ba9213f

[ "MIT" ]

null

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/aio/_form_recognizer_client_async.py

LianwMS/azure-sdk-for-python

612d7bca9de86ee1bd1fa59291d7bf897ba9213f

[ "MIT" ]

2

2020-07-17T13:57:08.000Z

2020-07-21T18:30:37.000Z

sdk/formrecognizer/azure-ai-formrecognizer/azure/ai/formrecognizer/aio/_form_recognizer_client_async.py

LianwMS/azure-sdk-for-python

612d7bca9de86ee1bd1fa59291d7bf897ba9213f

[ "MIT" ]

1

2020-07-31T16:33:36.000Z

# coding=utf-8 # ------------------------------------ # Copyright (c) Microsoft Corporation. # Licensed under the MIT License. # ------------------------------------ # pylint: disable=protected-access from typing import ( Any, IO, Union, List, TYPE_CHECKING, ) from azure.core.tracing.decorator_async import distributed_trace_async from azure.core.polling import AsyncLROPoller from azure.core.polling.async_base_polling import AsyncLROBasePolling from .._generated.aio._form_recognizer_client_async import FormRecognizerClient as FormRecognizer from .._response_handlers import ( prepare_receipt, prepare_content_result, prepare_form_result ) from .._generated.models import AnalyzeOperationResult from .._helpers import get_content_type, get_authentication_policy, error_map, POLLING_INTERVAL from .._user_agent import USER_AGENT from .._polling import AnalyzePolling from .._api_versions import validate_api_version from .._models import FormPage, RecognizedForm if TYPE_CHECKING: from azure.core.credentials import AzureKeyCredential from azure.core.credentials_async import AsyncTokenCredential class FormRecognizerClient(object): """FormRecognizerClient extracts information from forms and images into structured data. It is the interface to use for analyzing receipts, recognizing content/layout from forms, and analyzing custom forms from trained models. It provides different methods based on inputs from a URL and inputs from a stream. :param str endpoint: Supported Cognitive Services endpoints (protocol and hostname, for example: https://westus2.api.cognitive.microsoft.com). :param credential: Credentials needed for the client to connect to Azure. This is an instance of AzureKeyCredential if using an API key or a token credential from :mod:`azure.identity`. :type credential: :class:`~azure.core.credentials.AzureKeyCredential` or :class:`~azure.core.credentials_async.AsyncTokenCredential` :keyword str api_version: The API version of the service to use for requests. It defaults to the latest service version. Setting to an older version may result in reduced feature compatibility. .. admonition:: Example: .. literalinclude:: ../samples/async_samples/sample_authentication_async.py :start-after: [START create_fr_client_with_key_async] :end-before: [END create_fr_client_with_key_async] :language: python :dedent: 8 :caption: Creating the FormRecognizerClient with an endpoint and API key. .. literalinclude:: ../samples/async_samples/sample_authentication_async.py :start-after: [START create_fr_client_with_aad_async] :end-before: [END create_fr_client_with_aad_async] :language: python :dedent: 8 :caption: Creating the FormRecognizerClient with a token credential. """ def __init__( self, endpoint: str, credential: Union["AzureKeyCredential", "AsyncTokenCredential"], **kwargs: Any ) -> None: authentication_policy = get_authentication_policy(credential) polling_interval = kwargs.pop("polling_interval", POLLING_INTERVAL) api_version = kwargs.pop('api_version', None) validate_api_version(api_version) self._client = FormRecognizer( endpoint=endpoint, credential=credential, # type: ignore sdk_moniker=USER_AGENT, authentication_policy=authentication_policy, polling_interval=polling_interval, **kwargs ) def _receipt_callback(self, raw_response, _, headers): # pylint: disable=unused-argument analyze_result = self._client._deserialize(AnalyzeOperationResult, raw_response) return prepare_receipt(analyze_result) @distributed_trace_async async def begin_recognize_receipts( self, receipt: Union[bytes, IO[bytes]], **kwargs: Any ) -> AsyncLROPoller[List[RecognizedForm]]: """Extract field text and semantic values from a given US sales receipt. The input document must be of one of the supported content types - 'application/pdf', 'image/jpeg', 'image/png' or 'image/tiff'. See fields found on a receipt here: https://aka.ms/formrecognizer/receiptfields :param receipt: JPEG, PNG, PDF and TIFF type file stream or bytes. Currently only supports US sales receipts. :type receipt: bytes or IO[bytes] :keyword bool include_field_elements: Whether or not to include field elements such as lines and words in addition to form fields. :keyword content_type: Media type of the body sent to the API. Content-type is auto-detected, but can be overridden by passing this keyword argument. For options, see :class:`~azure.ai.formrecognizer.FormContentType`. :paramtype content_type: str or ~azure.ai.formrecognizer.FormContentType :keyword int polling_interval: Waiting time between two polls for LRO operations if no Retry-After header is present. Defaults to 5 seconds. :keyword str continuation_token: A continuation token to restart a poller from a saved state. :return: An instance of an AsyncLROPoller. Call `result()` on the poller object to return a list[:class:`~azure.ai.formrecognizer.RecognizedForm`]. :rtype: ~azure.core.polling.AsyncLROPoller[list[~azure.ai.formrecognizer.RecognizedForm]] :raises ~azure.core.exceptions.HttpResponseError: .. admonition:: Example: .. literalinclude:: ../samples/async_samples/sample_recognize_receipts_async.py :start-after: [START recognize_receipts_async] :end-before: [END recognize_receipts_async] :language: python :dedent: 8 :caption: Recognize US sales receipt fields. """ polling_interval = kwargs.pop("polling_interval", self._client._config.polling_interval) continuation_token = kwargs.pop("continuation_token", None) content_type = kwargs.pop("content_type", None) if content_type == "application/json": raise TypeError("Call begin_recognize_receipts_from_url() to analyze a receipt from a URL.") include_field_elements = kwargs.pop("include_field_elements", False) if content_type is None: content_type = get_content_type(receipt) return await self._client.begin_analyze_receipt_async( # type: ignore file_stream=receipt, content_type=content_type, include_text_details=include_field_elements, cls=kwargs.pop("cls", self._receipt_callback), polling=AsyncLROBasePolling( timeout=polling_interval, **kwargs ), error_map=error_map, continuation_token=continuation_token, **kwargs ) @distributed_trace_async async def begin_recognize_receipts_from_url( self, receipt_url: str, **kwargs: Any ) -> AsyncLROPoller[List[RecognizedForm]]: """Extract field text and semantic values from a given US sales receipt. The input document must be the location (URL) of the receipt to be analyzed. See fields found on a receipt here: https://aka.ms/formrecognizer/receiptfields :param str receipt_url: The URL of the receipt to analyze. The input must be a valid, encoded URL of one of the supported formats: JPEG, PNG, PDF and TIFF. Currently only supports US sales receipts. :keyword bool include_field_elements: Whether or not to include field elements such as lines and words in addition to form fields. :keyword int polling_interval: Waiting time between two polls for LRO operations if no Retry-After header is present. Defaults to 5 seconds. :keyword str continuation_token: A continuation token to restart a poller from a saved state. :return: An instance of an AsyncLROPoller. Call `result()` on the poller object to return a list[:class:`~azure.ai.formrecognizer.RecognizedForm`]. :rtype: ~azure.core.polling.AsyncLROPoller[list[~azure.ai.formrecognizer.RecognizedForm]] :raises ~azure.core.exceptions.HttpResponseError: .. admonition:: Example: .. literalinclude:: ../samples/async_samples/sample_recognize_receipts_from_url_async.py :start-after: [START recognize_receipts_from_url_async] :end-before: [END recognize_receipts_from_url_async] :language: python :dedent: 8 :caption: Recognize US sales receipt fields from a URL. """ polling_interval = kwargs.pop("polling_interval", self._client._config.polling_interval) continuation_token = kwargs.pop("continuation_token", None) include_field_elements = kwargs.pop("include_field_elements", False) return await self._client.begin_analyze_receipt_async( # type: ignore file_stream={"source": receipt_url}, include_text_details=include_field_elements, cls=kwargs.pop("cls", self._receipt_callback), polling=AsyncLROBasePolling( timeout=polling_interval, **kwargs ), error_map=error_map, continuation_token=continuation_token, **kwargs ) def _content_callback(self, raw_response, _, headers): # pylint: disable=unused-argument analyze_result = self._client._deserialize(AnalyzeOperationResult, raw_response) return prepare_content_result(analyze_result) @distributed_trace_async async def begin_recognize_content( self, form: Union[bytes, IO[bytes]], **kwargs: Any ) -> AsyncLROPoller[List[FormPage]]: """Extract text and content/layout information from a given document. The input document must be of one of the supported content types - 'application/pdf', 'image/jpeg', 'image/png' or 'image/tiff'. :param form: JPEG, PNG, PDF and TIFF type file stream or bytes. :type form: bytes or IO[bytes] :keyword content_type: Media type of the body sent to the API. Content-type is auto-detected, but can be overridden by passing this keyword argument. For options, see :class:`~azure.ai.formrecognizer.FormContentType`. :paramtype content_type: str or ~azure.ai.formrecognizer.FormContentType :keyword int polling_interval: Waiting time between two polls for LRO operations if no Retry-After header is present. Defaults to 5 seconds. :keyword str continuation_token: A continuation token to restart a poller from a saved state. :return: An instance of an AsyncLROPoller. Call `result()` on the poller object to return a list[:class:`~azure.ai.formrecognizer.FormPage`]. :rtype: ~azure.core.polling.AsyncLROPoller[list[~azure.ai.formrecognizer.FormPage]] :raises ~azure.core.exceptions.HttpResponseError: .. admonition:: Example: .. literalinclude:: ../samples/async_samples/sample_recognize_content_async.py :start-after: [START recognize_content_async] :end-before: [END recognize_content_async] :language: python :dedent: 8 :caption: Recognize text and content/layout information from a form. """ polling_interval = kwargs.pop("polling_interval", self._client._config.polling_interval) continuation_token = kwargs.pop("continuation_token", None) content_type = kwargs.pop("content_type", None) if content_type == "application/json": raise TypeError("Call begin_recognize_content_from_url() to analyze a document from a url.") if content_type is None: content_type = get_content_type(form) return await self._client.begin_analyze_layout_async( # type: ignore file_stream=form, content_type=content_type, cls=kwargs.pop("cls", self._content_callback), polling=AsyncLROBasePolling( timeout=polling_interval, **kwargs ), error_map=error_map, continuation_token=continuation_token, **kwargs ) @distributed_trace_async async def begin_recognize_content_from_url(self, form_url: str, **kwargs: Any) -> AsyncLROPoller[List[FormPage]]: """Extract text and layout information from a given document. The input document must be the location (URL) of the document to be analyzed. :param str form_url: The URL of the form to analyze. The input must be a valid, encoded URL of one of the supported formats: JPEG, PNG, PDF and TIFF. :keyword int polling_interval: Waiting time between two polls for LRO operations if no Retry-After header is present. Defaults to 5 seconds. :keyword str continuation_token: A continuation token to restart a poller from a saved state. :return: An instance of an AsyncLROPoller. Call `result()` on the poller object to return a list[:class:`~azure.ai.formrecognizer.FormPage`]. :rtype: ~azure.core.polling.AsyncLROPoller[list[~azure.ai.formrecognizer.FormPage]] :raises ~azure.core.exceptions.HttpResponseError: """ polling_interval = kwargs.pop("polling_interval", self._client._config.polling_interval) continuation_token = kwargs.pop("continuation_token", None) return await self._client.begin_analyze_layout_async( # type: ignore file_stream={"source": form_url}, cls=kwargs.pop("cls", self._content_callback), polling=AsyncLROBasePolling( timeout=polling_interval, **kwargs ), error_map=error_map, continuation_token=continuation_token, **kwargs ) @distributed_trace_async async def begin_recognize_custom_forms( self, model_id: str, form: Union[bytes, IO[bytes]], **kwargs: Any ) -> AsyncLROPoller[List[RecognizedForm]]: """Analyze a custom form with a model trained with or without labels. The form to analyze should be of the same type as the forms that were used to train the model. The input document must be of one of the supported content types - 'application/pdf', 'image/jpeg', 'image/png' or 'image/tiff'. :param str model_id: Custom model identifier. :param form: JPEG, PNG, PDF and TIFF type file stream or bytes. :type form: bytes or IO[bytes] :keyword bool include_field_elements: Whether or not to include field elements such as lines and words in addition to form fields. :keyword content_type: Media type of the body sent to the API. Content-type is auto-detected, but can be overridden by passing this keyword argument. For options, see :class:`~azure.ai.formrecognizer.FormContentType`. :paramtype content_type: str or ~azure.ai.formrecognizer.FormContentType :keyword int polling_interval: Waiting time between two polls for LRO operations if no Retry-After header is present. Defaults to 5 seconds. :keyword str continuation_token: A continuation token to restart a poller from a saved state. :return: An instance of an AsyncLROPoller. Call `result()` on the poller object to return a list[:class:`~azure.ai.formrecognizer.RecognizedForm`]. :rtype: ~azure.core.polling.AsyncLROPoller[list[~azure.ai.formrecognizer.RecognizedForm] :raises ~azure.core.exceptions.HttpResponseError: .. admonition:: Example: .. literalinclude:: ../samples/async_samples/sample_recognize_custom_forms_async.py :start-after: [START recognize_custom_forms_async] :end-before: [END recognize_custom_forms_async] :language: python :dedent: 8 :caption: Recognize fields and values from a custom form. """ if not model_id: raise ValueError("model_id cannot be None or empty.") cls = kwargs.pop("cls", None) polling_interval = kwargs.pop("polling_interval", self._client._config.polling_interval) continuation_token = kwargs.pop("continuation_token", None) content_type = kwargs.pop("content_type", None) if content_type == "application/json": raise TypeError("Call begin_recognize_custom_forms_from_url() to analyze a document from a URL.") include_field_elements = kwargs.pop("include_field_elements", False) if content_type is None: content_type = get_content_type(form) def analyze_callback(raw_response, _, headers): # pylint: disable=unused-argument analyze_result = self._client._deserialize(AnalyzeOperationResult, raw_response) return prepare_form_result(analyze_result, model_id) deserialization_callback = cls if cls else analyze_callback return await self._client.begin_analyze_with_custom_model( # type: ignore file_stream=form, model_id=model_id, include_text_details=include_field_elements, content_type=content_type, cls=deserialization_callback, polling=AsyncLROBasePolling( timeout=polling_interval, lro_algorithms=[AnalyzePolling()], **kwargs ), error_map=error_map, continuation_token=continuation_token, **kwargs ) @distributed_trace_async async def begin_recognize_custom_forms_from_url( self, model_id: str, form_url: str, **kwargs: Any ) -> AsyncLROPoller[List[RecognizedForm]]: """Analyze a custom form with a model trained with or without labels. The form to analyze should be of the same type as the forms that were used to train the model. The input document must be the location (URL) of the document to be analyzed. :param str model_id: Custom model identifier. :param str form_url: The URL of the form to analyze. The input must be a valid, encoded URL of one of the supported formats: JPEG, PNG, PDF and TIFF. :keyword bool include_field_elements: Whether or not to include field elements such as lines and words in addition to form fields. :keyword int polling_interval: Waiting time between two polls for LRO operations if no Retry-After header is present. Defaults to 5 seconds. :keyword str continuation_token: A continuation token to restart a poller from a saved state. :return: An instance of an AsyncLROPoller. Call `result()` on the poller object to return a list[:class:`~azure.ai.formrecognizer.RecognizedForm`]. :rtype: ~azure.core.polling.AsyncLROPoller[list[~azure.ai.formrecognizer.RecognizedForm] :raises ~azure.core.exceptions.HttpResponseError: """ if not model_id: raise ValueError("model_id cannot be None or empty.") cls = kwargs.pop("cls", None) polling_interval = kwargs.pop("polling_interval", self._client._config.polling_interval) continuation_token = kwargs.pop("continuation_token", None) include_field_elements = kwargs.pop("include_field_elements", False) def analyze_callback(raw_response, _, headers): # pylint: disable=unused-argument analyze_result = self._client._deserialize(AnalyzeOperationResult, raw_response) return prepare_form_result(analyze_result, model_id) deserialization_callback = cls if cls else analyze_callback return await self._client.begin_analyze_with_custom_model( # type: ignore file_stream={"source": form_url}, model_id=model_id, include_text_details=include_field_elements, cls=deserialization_callback, polling=AsyncLROBasePolling( timeout=polling_interval, lro_algorithms=[AnalyzePolling()], **kwargs ), error_map=error_map, continuation_token=continuation_token, **kwargs ) async def __aenter__(self) -> "FormRecognizerClient": await self._client.__aenter__() return self async def __aexit__(self, *args: "Any") -> None: await self._client.__aexit__(*args) async def close(self) -> None: """Close the :class:`~azure.ai.formrecognizer.aio.FormRecognizerClient` session. """ await self._client.__aexit__()

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py

Python

elasticmock/utilities/__init__.py

textioHQ/elasticmock

095dcd41a019a7ee1e9bda9fcc3bc69c6793b87b

[ "MIT" ]

null

elasticmock/utilities/__init__.py

textioHQ/elasticmock

095dcd41a019a7ee1e9bda9fcc3bc69c6793b87b

[ "MIT" ]

1

2018-07-12T05:13:58.000Z

elasticmock/utilities/__init__.py

textioHQ/textio-elasticmock

095dcd41a019a7ee1e9bda9fcc3bc69c6793b87b

[ "MIT" ]

null

# -*- coding: utf-8 -*- import random import string DEFAULT_ELASTICSEARCH_ID_SIZE = 20 CHARSET_FOR_ELASTICSEARCH_ID = string.ascii_letters + string.digits def get_random_id(size=DEFAULT_ELASTICSEARCH_ID_SIZE): return ''.join(random.choice(CHARSET_FOR_ELASTICSEARCH_ID) for _ in range(size))

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6a87d5c8bdc2e5fe8a8204a5b3f07795c4f22a67

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py

Python

utils/__init__.py

OwenLeng/Early-Detection-of-Fake-News-on-Social-Media-Through-Propagation-Path-Classification-with-pytorch-

39f8b7508240ebf58a3cdcf69fbb838a4239e0e5

[ "MIT" ]

38

2018-09-04T06:52:35.000Z

2022-02-10T06:48:33.000Z

utils/__init__.py

OwenLeng/Early-Detection-of-Fake-News-on-Social-Media-Through-Propagation-Path-Classification-with-pytorch-

39f8b7508240ebf58a3cdcf69fbb838a4239e0e5

[ "MIT" ]

4

2018-12-03T08:51:57.000Z

2021-11-03T23:02:45.000Z

utils/__init__.py

yumere/early-fakenews-detection

39f8b7508240ebf58a3cdcf69fbb838a4239e0e5

[ "MIT" ]

17

2018-10-17T07:30:28.000Z

2021-06-23T21:04:51.000Z

from utils.utils import User from utils.utils import bcolors __all__ = ['User', 'bcolors']

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6a8ab2dbd14a5467459f2aed755fac086d63e138

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py

Python

pontoon/base/context_processors.py

Tratty/pontoon

ecb903d72f9274f02137b16669cc3c5859f6329c

[ "BSD-3-Clause" ]

3

2020-01-27T12:26:20.000Z

2022-02-03T09:56:02.000Z

pontoon/base/context_processors.py

texnoman/pontoon-src

6b40ac229605e99966c3bdd1510b772c89d4de24

[ "BSD-3-Clause" ]

9

2021-03-10T21:34:51.000Z

2022-02-19T03:30:06.000Z

pontoon/base/context_processors.py

texnoman/pontoon-src

6b40ac229605e99966c3bdd1510b772c89d4de24

[ "BSD-3-Clause" ]

4

2020-01-26T21:28:43.000Z

2021-06-10T15:25:19.000Z

from __future__ import absolute_import from django.conf import settings def globals(request): return {"request": request, "settings": settings}

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py

Python

tests/api/test_channel_feed.py

BoraxTheClean/python-twitch-client

c26fbbaf4448f71ab95e8017b8ed0b7a9f614045

[ "MIT" ]

null

tests/api/test_channel_feed.py

BoraxTheClean/python-twitch-client

c26fbbaf4448f71ab95e8017b8ed0b7a9f614045

[ "MIT" ]

null

tests/api/test_channel_feed.py

BoraxTheClean/python-twitch-client

c26fbbaf4448f71ab95e8017b8ed0b7a9f614045

[ "MIT" ]

null

import json import pytest import responses from twitch.client import TwitchClient from twitch.constants import BASE_URL from twitch.exceptions import TwitchAttributeException from twitch.resources import Comment, Post # Note: comment doesn't have id prefixed with _ for some reason example_comment = { "id": "132629", "body": "Hey there! KappaHD", "created_at": "2016-11-29T15:52:27Z", } # Note: post doesn't have id prefixed with _ for some reason example_post = { "id": "443228891479487861", "body": "News feed post!", "comments": { "_cursor": "1480434747093939000", "_total": 1, "comments": [example_comment], }, "created_at": "2016-11-18T16:51:01Z", } @responses.activate def test_get_posts(): channel_id = "1234" response = { "_cursor": "1479487861147094000", "_topic": "feeds.channel.44322889", "posts": [example_post], } responses.add( responses.GET, "{}feed/{}/posts".format(BASE_URL, channel_id), body=json.dumps(response), status=200, content_type="application/json", ) client = TwitchClient("client id") posts = client.channel_feed.get_posts(channel_id) assert len(responses.calls) == 1 assert len(posts) == 1 post = posts[0] assert isinstance(post, Post) assert post.id == example_post["id"] assert post.body == example_post["body"] @responses.activate @pytest.mark.parametrize("param,value", [("limit", 101), ("comments", 6)]) def test_get_posts_raises_if_wrong_params_are_passed_in(param, value): client = TwitchClient("client id") kwargs = {param: value} with pytest.raises(TwitchAttributeException): client.channel_feed.get_posts("1234", **kwargs) @responses.activate def test_get_post(): channel_id = "1234" post_id = example_post["id"] responses.add( responses.GET, "{}feed/{}/posts/{}".format(BASE_URL, channel_id, post_id), body=json.dumps(example_post), status=200, content_type="application/json", ) client = TwitchClient("client id") post = client.channel_feed.get_post(channel_id, post_id) assert len(responses.calls) == 1 assert isinstance(post, Post) assert post.id == example_post["id"] assert post.body == example_post["body"] @responses.activate @pytest.mark.parametrize("param,value", [("comments", 6)]) def test_get_post_raises_if_wrong_params_are_passed_in(param, value): client = TwitchClient("client id") kwargs = {param: value} with pytest.raises(TwitchAttributeException): client.channel_feed.get_post("1234", example_post["id"], **kwargs) @responses.activate def test_create_post(): channel_id = "1234" response = {"post": example_post, "tweet": None} responses.add( responses.POST, "{}feed/{}/posts".format(BASE_URL, channel_id), body=json.dumps(response), status=200, content_type="application/json", ) client = TwitchClient("client id", "oauth token") post = client.channel_feed.create_post(channel_id, "abcd") assert len(responses.calls) == 1 assert isinstance(post, Post) assert post.id == example_post["id"] assert post.body == example_post["body"] @responses.activate def test_delete_post(): channel_id = "1234" post_id = example_post["id"] responses.add( responses.DELETE, "{}feed/{}/posts/{}".format(BASE_URL, channel_id, post_id), body=json.dumps(example_post), status=200, content_type="application/json", ) client = TwitchClient("client id", "oauth token") post = client.channel_feed.delete_post(channel_id, post_id) assert len(responses.calls) == 1 assert isinstance(post, Post) assert post.id == example_post["id"] @responses.activate def test_create_reaction_to_post(): channel_id = "1234" post_id = example_post["id"] response = { "id": "24989127", "emote_id": "25", "user": {}, "created_at": "2016-11-29T15:51:12Z", } responses.add( responses.POST, "{}feed/{}/posts/{}/reactions".format(BASE_URL, channel_id, post_id), body=json.dumps(response), status=200, content_type="application/json", ) client = TwitchClient("client id", "oauth token") response = client.channel_feed.create_reaction_to_post( channel_id, post_id, response["emote_id"] ) assert len(responses.calls) == 1 assert response["id"] @responses.activate def test_delete_reaction_to_post(): channel_id = "1234" post_id = example_post["id"] body = {"deleted": True} responses.add( responses.DELETE, "{}feed/{}/posts/{}/reactions".format(BASE_URL, channel_id, post_id), body=json.dumps(body), status=200, content_type="application/json", ) client = TwitchClient("client id", "oauth token") response = client.channel_feed.delete_reaction_to_post(channel_id, post_id, "1234") assert len(responses.calls) == 1 assert response["deleted"] @responses.activate def test_get_post_comments(): channel_id = "1234" post_id = example_post["id"] response = { "_cursor": "1480651694954867000", "_total": 1, "comments": [example_comment], } responses.add( responses.GET, "{}feed/{}/posts/{}/comments".format(BASE_URL, channel_id, post_id), body=json.dumps(response), status=200, content_type="application/json", ) client = TwitchClient("client id") comments = client.channel_feed.get_post_comments(channel_id, post_id) assert len(responses.calls) == 1 assert len(comments) == 1 comment = comments[0] assert isinstance(comment, Comment) assert comment.id == example_comment["id"] assert comment.body == example_comment["body"] @responses.activate @pytest.mark.parametrize("param,value", [("limit", 101)]) def test_get_post_comments_raises_if_wrong_params_are_passed_in(param, value): client = TwitchClient("client id") kwargs = {param: value} with pytest.raises(TwitchAttributeException): client.channel_feed.get_post_comments("1234", example_post["id"], **kwargs) @responses.activate def test_create_post_comment(): channel_id = "1234" post_id = example_post["id"] responses.add( responses.POST, "{}feed/{}/posts/{}/comments".format(BASE_URL, channel_id, post_id), body=json.dumps(example_comment), status=200, content_type="application/json", ) client = TwitchClient("client id", "oauth token") comment = client.channel_feed.create_post_comment(channel_id, post_id, "abcd") assert len(responses.calls) == 1 assert isinstance(comment, Comment) assert comment.id == example_comment["id"] assert comment.body == example_comment["body"] @responses.activate def test_delete_post_comment(): channel_id = "1234" post_id = example_post["id"] comment_id = example_comment["id"] responses.add( responses.DELETE, "{}feed/{}/posts/{}/comments/{}".format( BASE_URL, channel_id, post_id, comment_id ), body=json.dumps(example_comment), status=200, content_type="application/json", ) client = TwitchClient("client id", "oauth token") comment = client.channel_feed.delete_post_comment(channel_id, post_id, comment_id) assert len(responses.calls) == 1 assert isinstance(comment, Comment) assert comment.id == example_comment["id"] @responses.activate def test_create_reaction_to_comment(): channel_id = "1234" post_id = example_post["id"] comment_id = example_comment["id"] body = { "created_at": "2016-12-02T04:26:47Z", "emote_id": "1", "id": "1341393b-e872-4554-9f6f-acd5f8b669fc", "user": {}, } url = "{}feed/{}/posts/{}/comments/{}/reactions".format( BASE_URL, channel_id, post_id, comment_id ) responses.add( responses.POST, url, body=json.dumps(body), status=200, content_type="application/json", ) client = TwitchClient("client id", "oauth token") response = client.channel_feed.create_reaction_to_comment( channel_id, post_id, comment_id, "1" ) assert len(responses.calls) == 1 assert response["id"] @responses.activate def test_delete_reaction_to_comment(): channel_id = "1234" post_id = example_post["id"] comment_id = example_comment["id"] body = {"deleted": True} url = "{}feed/{}/posts/{}/comments/{}/reactions".format( BASE_URL, channel_id, post_id, comment_id ) responses.add( responses.DELETE, url, body=json.dumps(body), status=200, content_type="application/json", ) client = TwitchClient("client id", "oauth token") response = client.channel_feed.delete_reaction_to_comment( channel_id, post_id, comment_id, "1" ) assert len(responses.calls) == 1 assert response["deleted"]

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0aefca891d2336fa13090c10dbb695b030b1cd8f

82

py

Python

__init__.py

francisc112/fmp_quant

d5033cc9c230615147ebfb49c0eeb125e19d9088

[ "MIT" ]

null

__init__.py

francisc112/fmp_quant

d5033cc9c230615147ebfb49c0eeb125e19d9088

[ "MIT" ]

null

__init__.py

francisc112/fmp_quant

d5033cc9c230615147ebfb49c0eeb125e19d9088

[ "MIT" ]

null

from .FMP_Connect import FMP_CONNECTION from .FMP_TARGET_PRICE import Target_Price

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7c3cbaa8d7c37df80d0e49e24f800407f0049302

15,791

py

Python

timeseria/tests/test_operations.py

sarusso/Timeseria

fdf9990ab68e20f75a64f090a2c43979266dcba9

[ "Apache-2.0" ]

8

2021-01-02T17:43:13.000Z

2022-02-22T09:07:22.000Z

timeseria/tests/test_operations.py

sarusso/Timeseria

fdf9990ab68e20f75a64f090a2c43979266dcba9

[ "Apache-2.0" ]

20

2020-07-15T11:29:41.000Z

2022-03-29T22:51:52.000Z

timeseria/tests/test_operations.py

sarusso/Timeseria

fdf9990ab68e20f75a64f090a2c43979266dcba9

[ "Apache-2.0" ]

null

import unittest import os from ..datastructures import TimePoint, DataTimePoint, DataTimeSlotSeries, DataTimeSlot from ..datastructures import TimePointSeries, DataTimePointSeries from ..operations import derivative, integral, diff, csum, min, max, avg, filter, select, mavg from ..operations import Operation # Setup logging import logging logging.basicConfig(level=os.environ.get('LOGLEVEL') if os.environ.get('LOGLEVEL') else 'CRITICAL') class TestBaseOpertions(unittest.TestCase): def test_base(self): operation_from_callable = Operation() self.assertEqual(operation_from_callable.__name__, 'operation') def operation_as_function(data): pass self.assertEqual(operation_as_function.__name__, 'operation_as_function') class TestMathOperations(unittest.TestCase): def test_diff_csum(self): # Test data data_time_slot_series = DataTimeSlotSeries() data_time_slot_series.append(DataTimeSlot(start=TimePoint(0), end=TimePoint(60), data={'value':10})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(60), end=TimePoint(120), data={'value':12})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(120), end=TimePoint(180), data={'value':15})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(180), end=TimePoint(240), data={'value':16})) # Test standard, from the series diff_data_time_slot_series = diff(data_time_slot_series) self.assertEqual(len(diff_data_time_slot_series), 4) self.assertEqual(diff_data_time_slot_series[0].data['value_diff'],0) # 2? self.assertEqual(diff_data_time_slot_series[1].data['value_diff'],2) self.assertEqual(diff_data_time_slot_series[2].data['value_diff'],3) self.assertEqual(diff_data_time_slot_series[3].data['value_diff'],1) # Test csum as well diff_csum_data_time_slot_series = csum(diff_data_time_slot_series, offset=10) self.assertEqual(diff_csum_data_time_slot_series[0].data['value_diff_csum'], 10) self.assertEqual(diff_csum_data_time_slot_series[1].data['value_diff_csum'], 12) self.assertEqual(diff_csum_data_time_slot_series[2].data['value_diff_csum'], 15) self.assertEqual(diff_csum_data_time_slot_series[3].data['value_diff_csum'], 16) # Test standalone self.assertEqual(len(diff(data_time_slot_series)), 4) # Test in-place behavior diff(data_time_slot_series, inplace=True) self.assertEqual(len(data_time_slot_series), 4) self.assertEqual(data_time_slot_series[0].data['value'],10) self.assertEqual(data_time_slot_series[0].data['value_diff'],0) self.assertEqual(data_time_slot_series[1].data['value'],12) self.assertEqual(data_time_slot_series[1].data['value_diff'],2) self.assertEqual(data_time_slot_series[2].data['value'],15) self.assertEqual(data_time_slot_series[2].data['value_diff'],3) self.assertEqual(data_time_slot_series[3].data['value'],16) self.assertEqual(data_time_slot_series[3].data['value_diff'],1) # Multi-key Test data data_time_point_series = DataTimePointSeries() data_time_point_series.append(DataTimePoint(t=0, data={'value':10, 'another_value': 75})) data_time_point_series.append(DataTimePoint(t=60, data={'value':12, 'another_value': 65})) data_time_point_series.append(DataTimePoint(t=120, data={'value':6, 'another_value': 32})) data_time_point_series.append(DataTimePoint(t=180, data={'value':16, 'another_value': 10})) diff_data_time_point_series = data_time_point_series.diff() self.assertEqual(diff_data_time_point_series[0].data['value_diff'],0) self.assertEqual(diff_data_time_point_series[0].data['another_value_diff'],0) self.assertEqual(diff_data_time_point_series[1].data['value_diff'],2) self.assertEqual(diff_data_time_point_series[1].data['another_value_diff'],-10) # Test offset diff_csum_data_time_point_series = diff_data_time_point_series.csum(offset={'value_diff':10, 'another_value_diff':75}) self.assertEqual(diff_csum_data_time_point_series[0].data['value_diff_csum'],10) self.assertEqual(diff_csum_data_time_point_series[0].data['another_value_diff_csum'],75) self.assertEqual(diff_csum_data_time_point_series[3].data['value_diff_csum'],16) self.assertEqual(diff_csum_data_time_point_series[3].data['another_value_diff_csum'],10) def test_derivative_integral(self): # Test data data_time_slot_series = DataTimeSlotSeries() data_time_slot_series.append(DataTimeSlot(start=TimePoint(0), end=TimePoint(1), data={'value':10})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(1), end=TimePoint(2), data={'value':12})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(2), end=TimePoint(3), data={'value':15})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(3), end=TimePoint(4), data={'value':16})) # Test standard derivativeative behavior, from the series derivative_data_time_slot_series = derivative(data_time_slot_series) self.assertEqual(len(derivative_data_time_slot_series), 4) self.assertAlmostEqual(derivative_data_time_slot_series[0].data['value_derivative'],2) # 0 self.assertAlmostEqual(derivative_data_time_slot_series[1].data['value_derivative'],2.5) # 2 self.assertAlmostEqual(derivative_data_time_slot_series[2].data['value_derivative'],2) # 5 self.assertAlmostEqual(derivative_data_time_slot_series[3].data['value_derivative'],1.0) # 6 # Test integral as well derivative_integral_data_time_slot_series = integral(derivative_data_time_slot_series, c=10) self.assertEqual(derivative_integral_data_time_slot_series[0].data['value_derivative_integral'], 10) self.assertEqual(derivative_integral_data_time_slot_series[1].data['value_derivative_integral'], 12) self.assertEqual(derivative_integral_data_time_slot_series[2].data['value_derivative_integral'], 15) self.assertEqual(derivative_integral_data_time_slot_series[3].data['value_derivative_integral'], 16) # Test data data_time_slot_series = DataTimeSlotSeries() data_time_slot_series.append(DataTimeSlot(start=TimePoint(0), end=TimePoint(10), data={'value':10})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(10), end=TimePoint(20), data={'value':12})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(20), end=TimePoint(30), data={'value':15})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(30), end=TimePoint(40), data={'value':16})) # Test standard derivativeative behavior, from the series derivative_data_time_slot_series = derivative(data_time_slot_series) self.assertEqual(len(derivative_data_time_slot_series), 4) self.assertAlmostEqual(derivative_data_time_slot_series[0].data['value_derivative'],0.2) self.assertAlmostEqual(derivative_data_time_slot_series[1].data['value_derivative'],0.25) self.assertAlmostEqual(derivative_data_time_slot_series[2].data['value_derivative'],0.2) self.assertAlmostEqual(derivative_data_time_slot_series[3].data['value_derivative'],0.1) # Multi-key Test data data_time_point_series = DataTimePointSeries() data_time_point_series.append(DataTimePoint(t=0, data={'value':10, 'another_value': 75})) data_time_point_series.append(DataTimePoint(t=10, data={'value':12, 'another_value': 65})) data_time_point_series.append(DataTimePoint(t=20, data={'value':6, 'another_value': 32})) data_time_point_series.append(DataTimePoint(t=30, data={'value':16, 'another_value': 10})) derivative_data_time_point_series = data_time_point_series.derivative() self.assertAlmostEqual(derivative_data_time_point_series[0].data['value_derivative'],0.2) self.assertAlmostEqual(derivative_data_time_point_series[0].data['another_value_derivative'],-1.0) self.assertAlmostEqual(derivative_data_time_point_series[1].data['value_derivative'],-0.2) self.assertAlmostEqual(derivative_data_time_point_series[1].data['another_value_derivative'],-2.15) # Test derivative-integral identity with ther data data_time_slot_series = DataTimeSlotSeries() data_time_slot_series.append(DataTimeSlot(start=TimePoint(0), end=TimePoint(1), data={'value':0})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(1), end=TimePoint(2), data={'value':6})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(2), end=TimePoint(3), data={'value':14})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(3), end=TimePoint(4), data={'value':16})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(4), end=TimePoint(5), data={'value':20})) derivative_data_time_slot_series = data_time_slot_series.derivative() derivative_integral_data_time_slot_series = derivative_data_time_slot_series.integral() self.assertAlmostEqual(derivative_integral_data_time_slot_series[0].data['value_derivative_integral'],0) self.assertAlmostEqual(derivative_integral_data_time_slot_series[1].data['value_derivative_integral'],6) self.assertAlmostEqual(derivative_integral_data_time_slot_series[2].data['value_derivative_integral'],14) self.assertAlmostEqual(derivative_integral_data_time_slot_series[3].data['value_derivative_integral'],16) self.assertAlmostEqual(derivative_integral_data_time_slot_series[4].data['value_derivative_integral'],20) def test_mavg(self): data_time_slot_series = DataTimeSlotSeries() data_time_slot_series.append(DataTimeSlot(start=TimePoint(0), end=TimePoint(1), data={'value':2})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(1), end=TimePoint(2), data={'value':4})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(2), end=TimePoint(3), data={'value':8})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(3), end=TimePoint(4), data={'value':16})) mavg_data_time_slot_series = mavg(data_time_slot_series, 2) self.assertEqual(mavg_data_time_slot_series[0].data['value_mavg_2'], 3) self.assertEqual(mavg_data_time_slot_series[1].data['value_mavg_2'], 6) self.assertEqual(mavg_data_time_slot_series[2].data['value_mavg_2'], 12) self.assertEqual(mavg_data_time_slot_series[0].t, 1) self.assertEqual(mavg_data_time_slot_series[1].t, 2) self.assertEqual(mavg_data_time_slot_series[2].t, 3) def test_min_max_avg(self): # Test Python built-in default behaviour self.assertEqual(str(min), 'Min operation') self.assertEqual(min([1,2,3]),1) self.assertEqual(str(max), 'Max operation') self.assertEqual(max([1,2,3]),3) # Test data data_time_slot_series = DataTimeSlotSeries() data_time_slot_series.append(DataTimeSlot(start=TimePoint(0), end=TimePoint(60), data={'value':10})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(60), end=TimePoint(120), data={'value':12})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(120), end=TimePoint(180), data={'value':6})) data_time_slot_series.append(DataTimeSlot(start=TimePoint(180), end=TimePoint(240), data={'value':16})) # Test standalone self.assertEqual(min(data_time_slot_series), 6) self.assertEqual(max(data_time_slot_series), 16) self.assertEqual(avg(data_time_slot_series), 11) # Test from the series self.assertEqual(data_time_slot_series.min(), 6) self.assertEqual(data_time_slot_series.max(), 16) self.assertEqual(data_time_slot_series.avg(), 11) # Multi-key Test data data_time_point_series = DataTimePointSeries() data_time_point_series.append(DataTimePoint(t=0, data={'value':10, 'another_value': 75})) data_time_point_series.append(DataTimePoint(t=60, data={'value':12, 'another_value': 65})) data_time_point_series.append(DataTimePoint(t=120, data={'value':6, 'another_value': 32})) data_time_point_series.append(DataTimePoint(t=180, data={'value':16, 'another_value': 10})) self.assertEqual(data_time_point_series.min(), {'value': 6, 'another_value': 10}) self.assertEqual(data_time_point_series.min(key='value'), 6) self.assertEqual(data_time_point_series.min(key='another_value'), 10) self.assertEqual(data_time_point_series.max(), {'value': 16, 'another_value': 75}) self.assertEqual(data_time_point_series.max(key='value'), 16) self.assertEqual(data_time_point_series.max(key='another_value'), 75) self.assertEqual(data_time_point_series.avg(), {'value': 11, 'another_value': 45.5}) self.assertEqual(data_time_point_series.avg(key='value'), 11) self.assertEqual(data_time_point_series.avg(key='another_value'), 45.5) class TestSeriesOperations(unittest.TestCase): def test_filter(self): test_time_point_series = TimePointSeries(TimePoint(t=60),TimePoint(t=120),TimePoint(t=130)) # Test from/to filtering self.assertEqual(len(filter(test_time_point_series, from_t=1, to_t=140)),3) # Test from/to filtering from the series self.assertEqual(len(test_time_point_series.filter(from_t=1, to_t=140)),3) self.assertEqual(len(test_time_point_series.filter(from_t=61, to_t=140)),2) self.assertEqual(len(test_time_point_series.filter(from_t=61)),2) self.assertEqual(len(test_time_point_series.filter(to_t=61)),1) # Test data data_time_point_series = DataTimePointSeries(DataTimePoint(t=60, data={'a':1, 'b':2}), DataTimePoint(t=120, data={'a':2, 'b':4}), DataTimePoint(t=180, data={'a':3, 'b':8})) # Test get item by string key (filtering on data labels) self.assertEqual(filter(data_time_point_series, 'b')[0].data, {'b': 2}) # Test get item by string key (filtering on data labels), from the series self.assertEqual(data_time_point_series.filter('a')[0].data, {'a': 1}) self.assertEqual(data_time_point_series.filter('a')[1].data, {'a': 2}) self.assertEqual(data_time_point_series.filter('a')[2].data, {'a': 3}) self.assertEqual(len(data_time_point_series.filter('a')), 3 ) # Test that we haven't modified the original series self.assertEqual(data_time_point_series.data_keys(), ['a', 'b']) self.assertEqual(data_time_point_series[1].data['b'], 4) def test_select(self): # Test data data_time_point_series = DataTimePointSeries() data_time_point_series.append(DataTimePoint(t=0, data={'value':10, 'another_value': 75})) data_time_point_series.append(DataTimePoint(t=60, data={'value':12, 'another_value': 65})) data_time_point_series.append(DataTimePoint(t=120, data={'value':6, 'another_value': 32})) data_time_point_series.append(DataTimePoint(t=180, data={'value':16, 'another_value': 10})) # Basic select test self.assertEqual(select(data_time_point_series, query='another_value=65')[0].t, 60) self.assertEqual(data_time_point_series.select('"another_value"=65')[0].t, 60)

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Python

resources/dot_PyCharm/system/python_stubs/-762174762/PySide/QtGui/QMatrix.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

1

2020-04-20T02:27:20.000Z

resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QMatrix.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

null

resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QMatrix.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

null

# encoding: utf-8 # module PySide.QtGui # from C:\Python27\lib\site-packages\PySide\QtGui.pyd # by generator 1.147 # no doc # imports import PySide.QtCore as __PySide_QtCore import Shiboken as __Shiboken class QMatrix(__Shiboken.Object): # no doc def det(self, *args, **kwargs): # real signature unknown pass def determinant(self, *args, **kwargs): # real signature unknown pass def dx(self, *args, **kwargs): # real signature unknown pass def dy(self, *args, **kwargs): # real signature unknown pass def inverted(self, *args, **kwargs): # real signature unknown pass def isIdentity(self, *args, **kwargs): # real signature unknown pass def isInvertible(self, *args, **kwargs): # real signature unknown pass def m11(self, *args, **kwargs): # real signature unknown pass def m12(self, *args, **kwargs): # real signature unknown pass def m21(self, *args, **kwargs): # real signature unknown pass def m22(self, *args, **kwargs): # real signature unknown pass def map(self, *args, **kwargs): # real signature unknown pass def mapRect(self, *args, **kwargs): # real signature unknown pass def mapToPolygon(self, *args, **kwargs): # real signature unknown pass def reset(self, *args, **kwargs): # real signature unknown pass def rotate(self, *args, **kwargs): # real signature unknown pass def scale(self, *args, **kwargs): # real signature unknown pass def setMatrix(self, *args, **kwargs): # real signature unknown pass def shear(self, *args, **kwargs): # real signature unknown pass def translate(self, *args, **kwargs): # real signature unknown pass def __copy__(self, *args, **kwargs): # real signature unknown pass def __eq__(self, y): # real signature unknown; restored from __doc__ """ x.__eq__(y) <==> x==y """ pass def __ge__(self, y): # real signature unknown; restored from __doc__ """ x.__ge__(y) <==> x>=y """ pass def __gt__(self, y): # real signature unknown; restored from __doc__ """ x.__gt__(y) <==> x>y """ pass def __init__(self, *args, **kwargs): # real signature unknown pass def __le__(self, y): # real signature unknown; restored from __doc__ """ x.__le__(y) <==> x<=y """ pass def __lshift__(self, y): # real signature unknown; restored from __doc__ """ x.__lshift__(y) <==> x<<y """ pass def __lt__(self, y): # real signature unknown; restored from __doc__ """ x.__lt__(y) <==> x<y """ pass def __mul__(self, y): # real signature unknown; restored from __doc__ """ x.__mul__(y) <==> x*y """ pass @staticmethod # known case of __new__ def __new__(S, *more): # real signature unknown; restored from __doc__ """ T.__new__(S, ...) -> a new object with type S, a subtype of T """ pass def __ne__(self, y): # real signature unknown; restored from __doc__ """ x.__ne__(y) <==> x!=y """ pass def __reduce__(self, *args, **kwargs): # real signature unknown pass def __repr__(self): # real signature unknown; restored from __doc__ """ x.__repr__() <==> repr(x) """ pass def __rlshift__(self, y): # real signature unknown; restored from __doc__ """ x.__rlshift__(y) <==> y<<x """ pass def __rmul__(self, y): # real signature unknown; restored from __doc__ """ x.__rmul__(y) <==> y*x """ pass def __rrshift__(self, y): # real signature unknown; restored from __doc__ """ x.__rrshift__(y) <==> y>>x """ pass def __rshift__(self, y): # real signature unknown; restored from __doc__ """ x.__rshift__(y) <==> x>>y """ pass

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1

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6

7c521be438d2b5a80ba166ec81284396741309bd

8,726

py

Python

tests/functional/test_patch_fixture/test_services_available.py

krigar1184/pytest-localstack

47a69973c3efb8b469017f7bae9e72405aaeef98

[ "MIT" ]

null

tests/functional/test_patch_fixture/test_services_available.py

krigar1184/pytest-localstack

47a69973c3efb8b469017f7bae9e72405aaeef98

[ "MIT" ]

null

tests/functional/test_patch_fixture/test_services_available.py

krigar1184/pytest-localstack

47a69973c3efb8b469017f7bae9e72405aaeef98

[ "MIT" ]

null

"""Test all services accessible for pytest_localstack.patch_fixture.""" import boto3 import botocore import pytest_localstack localstack = pytest_localstack.patch_fixture(scope="module", autouse=True) def _assert_key_isinstance(result, key, type): assert key in result assert isinstance(result[key], type) class TestBotocore: """Test service accessibility via botocore.""" @property def session(self): if not hasattr(self, "_session"): self._session = botocore.session.get_session() return self._session def client(self, *args, **kwargs): return self.session.create_client(*args, **kwargs) def test_apigateway_available(self): client = self.client("apigateway") result = client.get_rest_apis() assert result["items"] == [] def test_cloudformation_available(self): client = self.client("cloudformation") result = client.list_stacks( StackStatusFilter=[ "CREATE_IN_PROGRESS", "CREATE_FAILED", "CREATE_COMPLETE", "ROLLBACK_IN_PROGRESS", "ROLLBACK_FAILED", "ROLLBACK_COMPLETE", "DELETE_IN_PROGRESS", "DELETE_FAILED", "DELETE_COMPLETE", "UPDATE_IN_PROGRESS", "UPDATE_COMPLETE_CLEANUP_IN_PROGRESS", "UPDATE_COMPLETE", "UPDATE_ROLLBACK_IN_PROGRESS", "UPDATE_ROLLBACK_FAILED", "UPDATE_ROLLBACK_COMPLETE_CLEANUP_IN_PROGRESS", "UPDATE_ROLLBACK_COMPLETE", "REVIEW_IN_PROGRESS", ] ) _assert_key_isinstance(result, "StackSummaries", list) def test_cloudwatch_available(self): client = self.client("cloudwatch") result = client.list_metrics() _assert_key_isinstance(result, "Metrics", list) def test_dynamodb_available(self): client = self.client("dynamodb") result = client.list_tables() _assert_key_isinstance(result, "TableNames", list) def test_dynamodbstreams_available(self): client = self.client("dynamodbstreams") result = client.list_streams() _assert_key_isinstance(result, "Streams", list) def test_es_available(self): client = self.client("es") result = client.list_domain_names() _assert_key_isinstance(result, "DomainNames", list) def test_firehose_available(self): client = self.client("firehose") result = client.list_delivery_streams() _assert_key_isinstance(result, "DeliveryStreamNames", list) def test_kinesis_available(self): client = self.client("kinesis") result = client.list_streams() _assert_key_isinstance(result, "StreamNames", list) def test_lambda_available(self): client = self.client("lambda") result = client.list_functions() _assert_key_isinstance(result, "Functions", list) def test_redshift_available(self): client = self.client("redshift") result = client.describe_clusters() _assert_key_isinstance(result, "Clusters", list) def test_route53_available(self): client = self.client("route53") result = client.list_hosted_zones() _assert_key_isinstance(result, "HostedZones", list) def test_s3_available(self): client = self.client("s3") result = client.list_buckets() _assert_key_isinstance(result, "Buckets", list) def test_ses_available(self): client = self.client("ses") result = client.list_identities() _assert_key_isinstance(result, "Identities", list) def test_sns_available(self): client = self.client("sns") result = client.list_topics() _assert_key_isinstance(result, "Topics", list) def test_sqs_available(self): client = self.client("sqs") result = client.list_queues() assert "ResponseMetadata" in result assert "HTTPStatusCode" in result["ResponseMetadata"] assert result["ResponseMetadata"]["HTTPStatusCode"] == 200 class TestBoto3Clients: """Test service accessibility via boto3 clients.""" def test_apigateway_available(self): client = boto3.client("apigateway") result = client.get_rest_apis() assert result["items"] == [] def test_cloudformation_available(self): client = boto3.client("cloudformation") result = client.list_stacks( StackStatusFilter=[ "CREATE_IN_PROGRESS", "CREATE_FAILED", "CREATE_COMPLETE", "ROLLBACK_IN_PROGRESS", "ROLLBACK_FAILED", "ROLLBACK_COMPLETE", "DELETE_IN_PROGRESS", "DELETE_FAILED", "DELETE_COMPLETE", "UPDATE_IN_PROGRESS", "UPDATE_COMPLETE_CLEANUP_IN_PROGRESS", "UPDATE_COMPLETE", "UPDATE_ROLLBACK_IN_PROGRESS", "UPDATE_ROLLBACK_FAILED", "UPDATE_ROLLBACK_COMPLETE_CLEANUP_IN_PROGRESS", "UPDATE_ROLLBACK_COMPLETE", "REVIEW_IN_PROGRESS", ] ) _assert_key_isinstance(result, "StackSummaries", list) def test_cloudwatch_available(self): client = boto3.client("cloudwatch") result = client.list_metrics() _assert_key_isinstance(result, "Metrics", list) def test_dynamodb_available(self): client = boto3.client("dynamodb") result = client.list_tables() _assert_key_isinstance(result, "TableNames", list) def test_dynamodbstreams_available(self): client = boto3.client("dynamodbstreams") result = client.list_streams() _assert_key_isinstance(result, "Streams", list) def test_es_available(self): client = boto3.client("es") result = client.list_domain_names() _assert_key_isinstance(result, "DomainNames", list) def test_firehose_available(self): client = boto3.client("firehose") result = client.list_delivery_streams() _assert_key_isinstance(result, "DeliveryStreamNames", list) def test_kinesis_available(self): client = boto3.client("kinesis") result = client.list_streams() _assert_key_isinstance(result, "StreamNames", list) def test_lambda_available(self): client = boto3.client("lambda") result = client.list_functions() _assert_key_isinstance(result, "Functions", list) def test_redshift_available(self): client = boto3.client("redshift") result = client.describe_clusters() _assert_key_isinstance(result, "Clusters", list) def test_route53_available(self): client = boto3.client("route53") result = client.list_hosted_zones() _assert_key_isinstance(result, "HostedZones", list) def test_s3_available(self): client = boto3.client("s3") result = client.list_buckets() _assert_key_isinstance(result, "Buckets", list) def test_ses_available(self): client = boto3.client("ses") result = client.list_identities() _assert_key_isinstance(result, "Identities", list) def test_sns_available(self): client = boto3.client("sns") result = client.list_topics() _assert_key_isinstance(result, "Topics", list) def test_sqs_available(self): client = boto3.client("sqs") result = client.list_queues() assert "ResponseMetadata" in result assert "HTTPStatusCode" in result["ResponseMetadata"] assert result["ResponseMetadata"]["HTTPStatusCode"] == 200 class TestBoto3Resources: """Test service accessibility via boto3 resources.""" def test_cloudformation_available(self): cloudformation = boto3.resource("cloudformation") assert isinstance(list(cloudformation.stacks.all()), list) def test_cloudwatch_available(self): cloudwatch = boto3.resource("cloudwatch") assert isinstance(list(cloudwatch.alarms.all()), list) def test_dynamodb_available(self): dynamodb = boto3.resource("dynamodb") assert isinstance(list(dynamodb.tables.all()), list) def test_s3_available(self): s3 = boto3.resource("s3") assert isinstance(list(s3.buckets.all()), list) def test_sns_available(self): sns = boto3.resource("sns") assert isinstance(list(sns.topics.all()), list) def test_sqs_available(self): sqs = boto3.resource("sqs") assert isinstance(list(sqs.queues.all()), list)

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7c7cd3d553f9ecbaffd3a354f1f90c8f501da9d0

136

py

Python

CLCC/ex3.py

adstr123/LPTHW

1a331ef173ffd6122b5c5ed13d8fdcc73ab7ce66

[ "Zed" ]

null

CLCC/ex3.py

adstr123/LPTHW

1a331ef173ffd6122b5c5ed13d8fdcc73ab7ce66

[ "Zed" ]

null

CLCC/ex3.py

adstr123/LPTHW

1a331ef173ffd6122b5c5ed13d8fdcc73ab7ce66

[ "Zed" ]

null

# Return to home directory at any time #pwd # (print current directory so you know where you are) #cd ~ # (return to home directory)

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Python

tests/timezones/tests.py

andreip/django

c61d1361d027a729d07d277879950ff133c19f4c

[ "PSF-2.0", "BSD-3-Clause" ]

2

2020-09-25T04:02:25.000Z

2020-10-15T00:01:00.000Z

tests/timezones/tests.py

seanfagan/django

66bbde6819586cc3a75630e12e569dc8ae72f211

[ "PSF-2.0", "BSD-3-Clause" ]

null

tests/timezones/tests.py

seanfagan/django

66bbde6819586cc3a75630e12e569dc8ae72f211

[ "PSF-2.0", "BSD-3-Clause" ]

1

2020-10-15T00:01:13.000Z

import datetime import re import sys import warnings from contextlib import contextmanager from unittest import SkipTest, skipIf from xml.dom.minidom import parseString import pytz from django.contrib.auth.models import User from django.core import serializers from django.core.exceptions import ImproperlyConfigured from django.db import connection, connections from django.db.models import F, Max, Min from django.http import HttpRequest from django.template import ( Context, RequestContext, Template, TemplateSyntaxError, context_processors, ) from django.test import ( SimpleTestCase, TestCase, TransactionTestCase, override_settings, skipIfDBFeature, skipUnlessDBFeature, ) from django.test.utils import requires_tz_support from django.urls import reverse from django.utils import timezone from django.utils.timezone import timedelta from .forms import ( EventForm, EventLocalizedForm, EventLocalizedModelForm, EventModelForm, EventSplitForm, ) from .models import ( AllDayEvent, Event, MaybeEvent, Session, SessionEvent, Timestamp, ) # These tests use the EAT (Eastern Africa Time) and ICT (Indochina Time) # who don't have Daylight Saving Time, so we can represent them easily # with FixedOffset, and use them directly as tzinfo in the constructors. # settings.TIME_ZONE is forced to EAT. Most tests use a variant of # datetime.datetime(2011, 9, 1, 13, 20, 30), which translates to # 10:20:30 in UTC and 17:20:30 in ICT. UTC = timezone.utc EAT = timezone.get_fixed_timezone(180) # Africa/Nairobi ICT = timezone.get_fixed_timezone(420) # Asia/Bangkok @override_settings(TIME_ZONE='Africa/Nairobi', USE_TZ=False) class LegacyDatabaseTests(TestCase): def test_naive_datetime(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30) Event.objects.create(dt=dt) event = Event.objects.get() self.assertEqual(event.dt, dt) @skipUnlessDBFeature('supports_microsecond_precision') def test_naive_datetime_with_microsecond(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, 405060) Event.objects.create(dt=dt) event = Event.objects.get() self.assertEqual(event.dt, dt) @skipIfDBFeature('supports_microsecond_precision') def test_naive_datetime_with_microsecond_unsupported(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, 405060) Event.objects.create(dt=dt) event = Event.objects.get() # microseconds are lost during a round-trip in the database self.assertEqual(event.dt, dt.replace(microsecond=0)) @skipUnlessDBFeature('supports_timezones') def test_aware_datetime_in_local_timezone(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT) Event.objects.create(dt=dt) event = Event.objects.get() self.assertIsNone(event.dt.tzinfo) # interpret the naive datetime in local time to get the correct value self.assertEqual(event.dt.replace(tzinfo=EAT), dt) @skipUnlessDBFeature('supports_timezones') @skipUnlessDBFeature('supports_microsecond_precision') def test_aware_datetime_in_local_timezone_with_microsecond(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, 405060, tzinfo=EAT) Event.objects.create(dt=dt) event = Event.objects.get() self.assertIsNone(event.dt.tzinfo) # interpret the naive datetime in local time to get the correct value self.assertEqual(event.dt.replace(tzinfo=EAT), dt) # This combination actually never happens. @skipUnlessDBFeature('supports_timezones') @skipIfDBFeature('supports_microsecond_precision') def test_aware_datetime_in_local_timezone_with_microsecond_unsupported(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, 405060, tzinfo=EAT) Event.objects.create(dt=dt) event = Event.objects.get() self.assertIsNone(event.dt.tzinfo) # interpret the naive datetime in local time to get the correct value # microseconds are lost during a round-trip in the database self.assertEqual(event.dt.replace(tzinfo=EAT), dt.replace(microsecond=0)) @skipUnlessDBFeature('supports_timezones') def test_aware_datetime_in_utc(self): dt = datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC) Event.objects.create(dt=dt) event = Event.objects.get() self.assertIsNone(event.dt.tzinfo) # interpret the naive datetime in local time to get the correct value self.assertEqual(event.dt.replace(tzinfo=EAT), dt) @skipUnlessDBFeature('supports_timezones') def test_aware_datetime_in_other_timezone(self): dt = datetime.datetime(2011, 9, 1, 17, 20, 30, tzinfo=ICT) Event.objects.create(dt=dt) event = Event.objects.get() self.assertIsNone(event.dt.tzinfo) # interpret the naive datetime in local time to get the correct value self.assertEqual(event.dt.replace(tzinfo=EAT), dt) @skipIfDBFeature('supports_timezones') def test_aware_datetime_unsupported(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT) with self.assertRaises(ValueError): Event.objects.create(dt=dt) def test_auto_now_and_auto_now_add(self): now = datetime.datetime.now() past = now - datetime.timedelta(seconds=2) future = now + datetime.timedelta(seconds=2) Timestamp.objects.create() ts = Timestamp.objects.get() self.assertLess(past, ts.created) self.assertLess(past, ts.updated) self.assertGreater(future, ts.updated) self.assertGreater(future, ts.updated) def test_query_filter(self): dt1 = datetime.datetime(2011, 9, 1, 12, 20, 30) dt2 = datetime.datetime(2011, 9, 1, 14, 20, 30) Event.objects.create(dt=dt1) Event.objects.create(dt=dt2) self.assertEqual(Event.objects.filter(dt__gte=dt1).count(), 2) self.assertEqual(Event.objects.filter(dt__gt=dt1).count(), 1) self.assertEqual(Event.objects.filter(dt__gte=dt2).count(), 1) self.assertEqual(Event.objects.filter(dt__gt=dt2).count(), 0) def test_query_datetime_lookups(self): Event.objects.create(dt=datetime.datetime(2011, 1, 1, 1, 30, 0)) Event.objects.create(dt=datetime.datetime(2011, 1, 1, 4, 30, 0)) self.assertEqual(Event.objects.filter(dt__year=2011).count(), 2) self.assertEqual(Event.objects.filter(dt__month=1).count(), 2) self.assertEqual(Event.objects.filter(dt__day=1).count(), 2) self.assertEqual(Event.objects.filter(dt__week_day=7).count(), 2) self.assertEqual(Event.objects.filter(dt__hour=1).count(), 1) self.assertEqual(Event.objects.filter(dt__minute=30).count(), 2) self.assertEqual(Event.objects.filter(dt__second=0).count(), 2) def test_query_aggregation(self): # Only min and max make sense for datetimes. Event.objects.create(dt=datetime.datetime(2011, 9, 1, 23, 20, 20)) Event.objects.create(dt=datetime.datetime(2011, 9, 1, 13, 20, 30)) Event.objects.create(dt=datetime.datetime(2011, 9, 1, 3, 20, 40)) result = Event.objects.all().aggregate(Min('dt'), Max('dt')) self.assertEqual(result, { 'dt__min': datetime.datetime(2011, 9, 1, 3, 20, 40), 'dt__max': datetime.datetime(2011, 9, 1, 23, 20, 20), }) def test_query_annotation(self): # Only min and max make sense for datetimes. morning = Session.objects.create(name='morning') afternoon = Session.objects.create(name='afternoon') SessionEvent.objects.create(dt=datetime.datetime(2011, 9, 1, 23, 20, 20), session=afternoon) SessionEvent.objects.create(dt=datetime.datetime(2011, 9, 1, 13, 20, 30), session=afternoon) SessionEvent.objects.create(dt=datetime.datetime(2011, 9, 1, 3, 20, 40), session=morning) morning_min_dt = datetime.datetime(2011, 9, 1, 3, 20, 40) afternoon_min_dt = datetime.datetime(2011, 9, 1, 13, 20, 30) self.assertQuerysetEqual( Session.objects.annotate(dt=Min('events__dt')).order_by('dt'), [morning_min_dt, afternoon_min_dt], transform=lambda d: d.dt) self.assertQuerysetEqual( Session.objects.annotate(dt=Min('events__dt')).filter(dt__lt=afternoon_min_dt), [morning_min_dt], transform=lambda d: d.dt) self.assertQuerysetEqual( Session.objects.annotate(dt=Min('events__dt')).filter(dt__gte=afternoon_min_dt), [afternoon_min_dt], transform=lambda d: d.dt) def test_query_datetimes(self): Event.objects.create(dt=datetime.datetime(2011, 1, 1, 1, 30, 0)) Event.objects.create(dt=datetime.datetime(2011, 1, 1, 4, 30, 0)) self.assertSequenceEqual(Event.objects.datetimes('dt', 'year'), [datetime.datetime(2011, 1, 1, 0, 0, 0)]) self.assertSequenceEqual(Event.objects.datetimes('dt', 'month'), [datetime.datetime(2011, 1, 1, 0, 0, 0)]) self.assertSequenceEqual(Event.objects.datetimes('dt', 'day'), [datetime.datetime(2011, 1, 1, 0, 0, 0)]) self.assertSequenceEqual( Event.objects.datetimes('dt', 'hour'), [datetime.datetime(2011, 1, 1, 1, 0, 0), datetime.datetime(2011, 1, 1, 4, 0, 0)] ) self.assertSequenceEqual( Event.objects.datetimes('dt', 'minute'), [datetime.datetime(2011, 1, 1, 1, 30, 0), datetime.datetime(2011, 1, 1, 4, 30, 0)] ) self.assertSequenceEqual( Event.objects.datetimes('dt', 'second'), [datetime.datetime(2011, 1, 1, 1, 30, 0), datetime.datetime(2011, 1, 1, 4, 30, 0)] ) def test_raw_sql(self): # Regression test for #17755 dt = datetime.datetime(2011, 9, 1, 13, 20, 30) event = Event.objects.create(dt=dt) self.assertEqual(list(Event.objects.raw('SELECT * FROM timezones_event WHERE dt = %s', [dt])), [event]) def test_cursor_execute_accepts_naive_datetime(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30) with connection.cursor() as cursor: cursor.execute('INSERT INTO timezones_event (dt) VALUES (%s)', [dt]) event = Event.objects.get() self.assertEqual(event.dt, dt) def test_cursor_execute_returns_naive_datetime(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30) Event.objects.create(dt=dt) with connection.cursor() as cursor: cursor.execute('SELECT dt FROM timezones_event WHERE dt = %s', [dt]) self.assertEqual(cursor.fetchall()[0][0], dt) def test_filter_date_field_with_aware_datetime(self): # Regression test for #17742 day = datetime.date(2011, 9, 1) AllDayEvent.objects.create(day=day) # This is 2011-09-02T01:30:00+03:00 in EAT dt = datetime.datetime(2011, 9, 1, 22, 30, 0, tzinfo=UTC) self.assertTrue(AllDayEvent.objects.filter(day__gte=dt).exists()) @override_settings(TIME_ZONE='Africa/Nairobi', USE_TZ=True) class NewDatabaseTests(TestCase): @requires_tz_support def test_naive_datetime(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30) with warnings.catch_warnings(record=True) as recorded: warnings.simplefilter('always') Event.objects.create(dt=dt) self.assertEqual(len(recorded), 1) msg = str(recorded[0].message) self.assertTrue(msg.startswith("DateTimeField Event.dt received " "a naive datetime")) event = Event.objects.get() # naive datetimes are interpreted in local time self.assertEqual(event.dt, dt.replace(tzinfo=EAT)) @requires_tz_support def test_datetime_from_date(self): dt = datetime.date(2011, 9, 1) with warnings.catch_warnings(record=True) as recorded: warnings.simplefilter('always') Event.objects.create(dt=dt) self.assertEqual(len(recorded), 1) msg = str(recorded[0].message) self.assertTrue(msg.startswith("DateTimeField Event.dt received " "a naive datetime")) event = Event.objects.get() self.assertEqual(event.dt, datetime.datetime(2011, 9, 1, tzinfo=EAT)) @requires_tz_support @skipUnlessDBFeature('supports_microsecond_precision') def test_naive_datetime_with_microsecond(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, 405060) with warnings.catch_warnings(record=True) as recorded: warnings.simplefilter('always') Event.objects.create(dt=dt) self.assertEqual(len(recorded), 1) msg = str(recorded[0].message) self.assertTrue(msg.startswith("DateTimeField Event.dt received " "a naive datetime")) event = Event.objects.get() # naive datetimes are interpreted in local time self.assertEqual(event.dt, dt.replace(tzinfo=EAT)) @requires_tz_support @skipIfDBFeature('supports_microsecond_precision') def test_naive_datetime_with_microsecond_unsupported(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, 405060) with warnings.catch_warnings(record=True) as recorded: warnings.simplefilter('always') Event.objects.create(dt=dt) self.assertEqual(len(recorded), 1) msg = str(recorded[0].message) self.assertTrue(msg.startswith("DateTimeField Event.dt received " "a naive datetime")) event = Event.objects.get() # microseconds are lost during a round-trip in the database # naive datetimes are interpreted in local time self.assertEqual(event.dt, dt.replace(microsecond=0, tzinfo=EAT)) def test_aware_datetime_in_local_timezone(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT) Event.objects.create(dt=dt) event = Event.objects.get() self.assertEqual(event.dt, dt) @skipUnlessDBFeature('supports_microsecond_precision') def test_aware_datetime_in_local_timezone_with_microsecond(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, 405060, tzinfo=EAT) Event.objects.create(dt=dt) event = Event.objects.get() self.assertEqual(event.dt, dt) @skipIfDBFeature('supports_microsecond_precision') def test_aware_datetime_in_local_timezone_with_microsecond_unsupported(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, 405060, tzinfo=EAT) Event.objects.create(dt=dt) event = Event.objects.get() # microseconds are lost during a round-trip in the database self.assertEqual(event.dt, dt.replace(microsecond=0)) def test_aware_datetime_in_utc(self): dt = datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC) Event.objects.create(dt=dt) event = Event.objects.get() self.assertEqual(event.dt, dt) def test_aware_datetime_in_other_timezone(self): dt = datetime.datetime(2011, 9, 1, 17, 20, 30, tzinfo=ICT) Event.objects.create(dt=dt) event = Event.objects.get() self.assertEqual(event.dt, dt) def test_auto_now_and_auto_now_add(self): now = timezone.now() past = now - datetime.timedelta(seconds=2) future = now + datetime.timedelta(seconds=2) Timestamp.objects.create() ts = Timestamp.objects.get() self.assertLess(past, ts.created) self.assertLess(past, ts.updated) self.assertGreater(future, ts.updated) self.assertGreater(future, ts.updated) def test_query_filter(self): dt1 = datetime.datetime(2011, 9, 1, 12, 20, 30, tzinfo=EAT) dt2 = datetime.datetime(2011, 9, 1, 14, 20, 30, tzinfo=EAT) Event.objects.create(dt=dt1) Event.objects.create(dt=dt2) self.assertEqual(Event.objects.filter(dt__gte=dt1).count(), 2) self.assertEqual(Event.objects.filter(dt__gt=dt1).count(), 1) self.assertEqual(Event.objects.filter(dt__gte=dt2).count(), 1) self.assertEqual(Event.objects.filter(dt__gt=dt2).count(), 0) def test_query_filter_with_pytz_timezones(self): tz = pytz.timezone('Europe/Paris') dt = datetime.datetime(2011, 9, 1, 12, 20, 30, tzinfo=tz) Event.objects.create(dt=dt) next = dt + datetime.timedelta(seconds=3) prev = dt - datetime.timedelta(seconds=3) self.assertEqual(Event.objects.filter(dt__exact=dt).count(), 1) self.assertEqual(Event.objects.filter(dt__exact=next).count(), 0) self.assertEqual(Event.objects.filter(dt__in=(prev, next)).count(), 0) self.assertEqual(Event.objects.filter(dt__in=(prev, dt, next)).count(), 1) self.assertEqual(Event.objects.filter(dt__range=(prev, next)).count(), 1) @requires_tz_support def test_query_filter_with_naive_datetime(self): dt = datetime.datetime(2011, 9, 1, 12, 20, 30, tzinfo=EAT) Event.objects.create(dt=dt) dt = dt.replace(tzinfo=None) with warnings.catch_warnings(record=True) as recorded: warnings.simplefilter('always') # naive datetimes are interpreted in local time self.assertEqual(Event.objects.filter(dt__exact=dt).count(), 1) self.assertEqual(Event.objects.filter(dt__lte=dt).count(), 1) self.assertEqual(Event.objects.filter(dt__gt=dt).count(), 0) self.assertEqual(len(recorded), 3) for warning in recorded: msg = str(warning.message) self.assertTrue(msg.startswith("DateTimeField Event.dt " "received a naive datetime")) @skipUnlessDBFeature('has_zoneinfo_database') def test_query_datetime_lookups(self): Event.objects.create(dt=datetime.datetime(2011, 1, 1, 1, 30, 0, tzinfo=EAT)) Event.objects.create(dt=datetime.datetime(2011, 1, 1, 4, 30, 0, tzinfo=EAT)) self.assertEqual(Event.objects.filter(dt__year=2011).count(), 2) self.assertEqual(Event.objects.filter(dt__month=1).count(), 2) self.assertEqual(Event.objects.filter(dt__day=1).count(), 2) self.assertEqual(Event.objects.filter(dt__week_day=7).count(), 2) self.assertEqual(Event.objects.filter(dt__hour=1).count(), 1) self.assertEqual(Event.objects.filter(dt__minute=30).count(), 2) self.assertEqual(Event.objects.filter(dt__second=0).count(), 2) @skipUnlessDBFeature('has_zoneinfo_database') def test_query_datetime_lookups_in_other_timezone(self): Event.objects.create(dt=datetime.datetime(2011, 1, 1, 1, 30, 0, tzinfo=EAT)) Event.objects.create(dt=datetime.datetime(2011, 1, 1, 4, 30, 0, tzinfo=EAT)) with timezone.override(UTC): # These two dates fall in the same day in EAT, but in different days, # years and months in UTC. self.assertEqual(Event.objects.filter(dt__year=2011).count(), 1) self.assertEqual(Event.objects.filter(dt__month=1).count(), 1) self.assertEqual(Event.objects.filter(dt__day=1).count(), 1) self.assertEqual(Event.objects.filter(dt__week_day=7).count(), 1) self.assertEqual(Event.objects.filter(dt__hour=22).count(), 1) self.assertEqual(Event.objects.filter(dt__minute=30).count(), 2) self.assertEqual(Event.objects.filter(dt__second=0).count(), 2) def test_query_aggregation(self): # Only min and max make sense for datetimes. Event.objects.create(dt=datetime.datetime(2011, 9, 1, 23, 20, 20, tzinfo=EAT)) Event.objects.create(dt=datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT)) Event.objects.create(dt=datetime.datetime(2011, 9, 1, 3, 20, 40, tzinfo=EAT)) result = Event.objects.all().aggregate(Min('dt'), Max('dt')) self.assertEqual(result, { 'dt__min': datetime.datetime(2011, 9, 1, 3, 20, 40, tzinfo=EAT), 'dt__max': datetime.datetime(2011, 9, 1, 23, 20, 20, tzinfo=EAT), }) def test_query_annotation(self): # Only min and max make sense for datetimes. morning = Session.objects.create(name='morning') afternoon = Session.objects.create(name='afternoon') SessionEvent.objects.create(dt=datetime.datetime(2011, 9, 1, 23, 20, 20, tzinfo=EAT), session=afternoon) SessionEvent.objects.create(dt=datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT), session=afternoon) SessionEvent.objects.create(dt=datetime.datetime(2011, 9, 1, 3, 20, 40, tzinfo=EAT), session=morning) morning_min_dt = datetime.datetime(2011, 9, 1, 3, 20, 40, tzinfo=EAT) afternoon_min_dt = datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT) self.assertQuerysetEqual( Session.objects.annotate(dt=Min('events__dt')).order_by('dt'), [morning_min_dt, afternoon_min_dt], transform=lambda d: d.dt) self.assertQuerysetEqual( Session.objects.annotate(dt=Min('events__dt')).filter(dt__lt=afternoon_min_dt), [morning_min_dt], transform=lambda d: d.dt) self.assertQuerysetEqual( Session.objects.annotate(dt=Min('events__dt')).filter(dt__gte=afternoon_min_dt), [afternoon_min_dt], transform=lambda d: d.dt) @skipUnlessDBFeature('has_zoneinfo_database') def test_query_datetimes(self): Event.objects.create(dt=datetime.datetime(2011, 1, 1, 1, 30, 0, tzinfo=EAT)) Event.objects.create(dt=datetime.datetime(2011, 1, 1, 4, 30, 0, tzinfo=EAT)) self.assertSequenceEqual( Event.objects.datetimes('dt', 'year'), [datetime.datetime(2011, 1, 1, 0, 0, 0, tzinfo=EAT)] ) self.assertSequenceEqual( Event.objects.datetimes('dt', 'month'), [datetime.datetime(2011, 1, 1, 0, 0, 0, tzinfo=EAT)] ) self.assertSequenceEqual( Event.objects.datetimes('dt', 'day'), [datetime.datetime(2011, 1, 1, 0, 0, 0, tzinfo=EAT)] ) self.assertSequenceEqual( Event.objects.datetimes('dt', 'hour'), [datetime.datetime(2011, 1, 1, 1, 0, 0, tzinfo=EAT), datetime.datetime(2011, 1, 1, 4, 0, 0, tzinfo=EAT)] ) self.assertSequenceEqual( Event.objects.datetimes('dt', 'minute'), [datetime.datetime(2011, 1, 1, 1, 30, 0, tzinfo=EAT), datetime.datetime(2011, 1, 1, 4, 30, 0, tzinfo=EAT)] ) self.assertSequenceEqual( Event.objects.datetimes('dt', 'second'), [datetime.datetime(2011, 1, 1, 1, 30, 0, tzinfo=EAT), datetime.datetime(2011, 1, 1, 4, 30, 0, tzinfo=EAT)] ) @skipUnlessDBFeature('has_zoneinfo_database') def test_query_datetimes_in_other_timezone(self): Event.objects.create(dt=datetime.datetime(2011, 1, 1, 1, 30, 0, tzinfo=EAT)) Event.objects.create(dt=datetime.datetime(2011, 1, 1, 4, 30, 0, tzinfo=EAT)) with timezone.override(UTC): self.assertSequenceEqual( Event.objects.datetimes('dt', 'year'), [datetime.datetime(2010, 1, 1, 0, 0, 0, tzinfo=UTC), datetime.datetime(2011, 1, 1, 0, 0, 0, tzinfo=UTC)] ) self.assertSequenceEqual( Event.objects.datetimes('dt', 'month'), [datetime.datetime(2010, 12, 1, 0, 0, 0, tzinfo=UTC), datetime.datetime(2011, 1, 1, 0, 0, 0, tzinfo=UTC)] ) self.assertSequenceEqual( Event.objects.datetimes('dt', 'day'), [datetime.datetime(2010, 12, 31, 0, 0, 0, tzinfo=UTC), datetime.datetime(2011, 1, 1, 0, 0, 0, tzinfo=UTC)] ) self.assertSequenceEqual( Event.objects.datetimes('dt', 'hour'), [datetime.datetime(2010, 12, 31, 22, 0, 0, tzinfo=UTC), datetime.datetime(2011, 1, 1, 1, 0, 0, tzinfo=UTC)] ) self.assertSequenceEqual( Event.objects.datetimes('dt', 'minute'), [datetime.datetime(2010, 12, 31, 22, 30, 0, tzinfo=UTC), datetime.datetime(2011, 1, 1, 1, 30, 0, tzinfo=UTC)] ) self.assertSequenceEqual( Event.objects.datetimes('dt', 'second'), [datetime.datetime(2010, 12, 31, 22, 30, 0, tzinfo=UTC), datetime.datetime(2011, 1, 1, 1, 30, 0, tzinfo=UTC)] ) def test_raw_sql(self): # Regression test for #17755 dt = datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT) event = Event.objects.create(dt=dt) self.assertSequenceEqual(list(Event.objects.raw('SELECT * FROM timezones_event WHERE dt = %s', [dt])), [event]) @skipUnlessDBFeature('supports_timezones') def test_cursor_execute_accepts_aware_datetime(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT) with connection.cursor() as cursor: cursor.execute('INSERT INTO timezones_event (dt) VALUES (%s)', [dt]) event = Event.objects.get() self.assertEqual(event.dt, dt) @skipIfDBFeature('supports_timezones') def test_cursor_execute_accepts_naive_datetime(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT) utc_naive_dt = timezone.make_naive(dt, timezone.utc) with connection.cursor() as cursor: cursor.execute('INSERT INTO timezones_event (dt) VALUES (%s)', [utc_naive_dt]) event = Event.objects.get() self.assertEqual(event.dt, dt) @skipUnlessDBFeature('supports_timezones') def test_cursor_execute_returns_aware_datetime(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT) Event.objects.create(dt=dt) with connection.cursor() as cursor: cursor.execute('SELECT dt FROM timezones_event WHERE dt = %s', [dt]) self.assertEqual(cursor.fetchall()[0][0], dt) @skipIfDBFeature('supports_timezones') def test_cursor_execute_returns_naive_datetime(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT) utc_naive_dt = timezone.make_naive(dt, timezone.utc) Event.objects.create(dt=dt) with connection.cursor() as cursor: cursor.execute('SELECT dt FROM timezones_event WHERE dt = %s', [utc_naive_dt]) self.assertEqual(cursor.fetchall()[0][0], utc_naive_dt) @requires_tz_support def test_filter_date_field_with_aware_datetime(self): # Regression test for #17742 day = datetime.date(2011, 9, 1) AllDayEvent.objects.create(day=day) # This is 2011-09-02T01:30:00+03:00 in EAT dt = datetime.datetime(2011, 9, 1, 22, 30, 0, tzinfo=UTC) self.assertFalse(AllDayEvent.objects.filter(day__gte=dt).exists()) def test_null_datetime(self): # Regression test for #17294 e = MaybeEvent.objects.create() self.assertIsNone(e.dt) def test_update_with_timedelta(self): initial_dt = timezone.now().replace(microsecond=0) event = Event.objects.create(dt=initial_dt) Event.objects.update(dt=F('dt') + timedelta(hours=2)) event.refresh_from_db() self.assertEqual(event.dt, initial_dt + timedelta(hours=2)) @override_settings(TIME_ZONE='Africa/Nairobi', USE_TZ=True) class ForcedTimeZoneDatabaseTests(TransactionTestCase): """ Test the TIME_ZONE database configuration parameter. Since this involves reading and writing to the same database through two connections, this is a TransactionTestCase. """ available_apps = ['timezones'] @classmethod def setUpClass(cls): # @skipIfDBFeature and @skipUnlessDBFeature cannot be chained. The # outermost takes precedence. Handle skipping manually instead. if connection.features.supports_timezones: raise SkipTest("Database has feature(s) supports_timezones") if not connection.features.test_db_allows_multiple_connections: raise SkipTest("Database doesn't support feature(s): test_db_allows_multiple_connections") super().setUpClass() @contextmanager def override_database_connection_timezone(self, timezone): try: orig_timezone = connection.settings_dict['TIME_ZONE'] connection.settings_dict['TIME_ZONE'] = timezone # Clear cached properties, after first accessing them to ensure they exist. connection.timezone del connection.timezone connection.timezone_name del connection.timezone_name yield finally: connection.settings_dict['TIME_ZONE'] = orig_timezone # Clear cached properties, after first accessing them to ensure they exist. connection.timezone del connection.timezone connection.timezone_name del connection.timezone_name def test_read_datetime(self): fake_dt = datetime.datetime(2011, 9, 1, 17, 20, 30, tzinfo=UTC) Event.objects.create(dt=fake_dt) with self.override_database_connection_timezone('Asia/Bangkok'): event = Event.objects.get() dt = datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC) self.assertEqual(event.dt, dt) def test_write_datetime(self): dt = datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC) with self.override_database_connection_timezone('Asia/Bangkok'): Event.objects.create(dt=dt) event = Event.objects.get() fake_dt = datetime.datetime(2011, 9, 1, 17, 20, 30, tzinfo=UTC) self.assertEqual(event.dt, fake_dt) @skipUnlessDBFeature('supports_timezones') @override_settings(TIME_ZONE='Africa/Nairobi', USE_TZ=True) class UnsupportedTimeZoneDatabaseTests(TestCase): def test_time_zone_parameter_not_supported_if_database_supports_timezone(self): connections.databases['tz'] = connections.databases['default'].copy() connections.databases['tz']['TIME_ZONE'] = 'Asia/Bangkok' tz_conn = connections['tz'] try: with self.assertRaises(ImproperlyConfigured): tz_conn.cursor() finally: connections['tz'].close() # in case the test fails del connections['tz'] del connections.databases['tz'] @override_settings(TIME_ZONE='Africa/Nairobi') class SerializationTests(SimpleTestCase): # Backend-specific notes: # - JSON supports only milliseconds, microseconds will be truncated. # - PyYAML dumps the UTC offset correctly for timezone-aware datetimes, # but when it loads this representation, it subtracts the offset and # returns a naive datetime object in UTC (http://pyyaml.org/ticket/202). # Tests are adapted to take these quirks into account. def assert_python_contains_datetime(self, objects, dt): self.assertEqual(objects[0]['fields']['dt'], dt) def assert_json_contains_datetime(self, json, dt): self.assertIn('"fields": {"dt": "%s"}' % dt, json) def assert_xml_contains_datetime(self, xml, dt): field = parseString(xml).getElementsByTagName('field')[0] self.assertXMLEqual(field.childNodes[0].wholeText, dt) def assert_yaml_contains_datetime(self, yaml, dt): # Depending on the yaml dumper, '!timestamp' might be absent self.assertRegex(yaml, r"\n fields: {dt: !(!timestamp)? '%s'}" % re.escape(dt)) def test_naive_datetime(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30) data = serializers.serialize('python', [Event(dt=dt)]) self.assert_python_contains_datetime(data, dt) obj = next(serializers.deserialize('python', data)).object self.assertEqual(obj.dt, dt) data = serializers.serialize('json', [Event(dt=dt)]) self.assert_json_contains_datetime(data, "2011-09-01T13:20:30") obj = next(serializers.deserialize('json', data)).object self.assertEqual(obj.dt, dt) data = serializers.serialize('xml', [Event(dt=dt)]) self.assert_xml_contains_datetime(data, "2011-09-01T13:20:30") obj = next(serializers.deserialize('xml', data)).object self.assertEqual(obj.dt, dt) if not isinstance(serializers.get_serializer('yaml'), serializers.BadSerializer): data = serializers.serialize('yaml', [Event(dt=dt)]) self.assert_yaml_contains_datetime(data, "2011-09-01 13:20:30") obj = next(serializers.deserialize('yaml', data)).object self.assertEqual(obj.dt, dt) def test_naive_datetime_with_microsecond(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, 405060) data = serializers.serialize('python', [Event(dt=dt)]) self.assert_python_contains_datetime(data, dt) obj = next(serializers.deserialize('python', data)).object self.assertEqual(obj.dt, dt) data = serializers.serialize('json', [Event(dt=dt)]) self.assert_json_contains_datetime(data, "2011-09-01T13:20:30.405") obj = next(serializers.deserialize('json', data)).object self.assertEqual(obj.dt, dt.replace(microsecond=405000)) data = serializers.serialize('xml', [Event(dt=dt)]) self.assert_xml_contains_datetime(data, "2011-09-01T13:20:30.405060") obj = next(serializers.deserialize('xml', data)).object self.assertEqual(obj.dt, dt) if not isinstance(serializers.get_serializer('yaml'), serializers.BadSerializer): data = serializers.serialize('yaml', [Event(dt=dt)]) self.assert_yaml_contains_datetime(data, "2011-09-01 13:20:30.405060") obj = next(serializers.deserialize('yaml', data)).object self.assertEqual(obj.dt, dt) def test_aware_datetime_with_microsecond(self): dt = datetime.datetime(2011, 9, 1, 17, 20, 30, 405060, tzinfo=ICT) data = serializers.serialize('python', [Event(dt=dt)]) self.assert_python_contains_datetime(data, dt) obj = next(serializers.deserialize('python', data)).object self.assertEqual(obj.dt, dt) data = serializers.serialize('json', [Event(dt=dt)]) self.assert_json_contains_datetime(data, "2011-09-01T17:20:30.405+07:00") obj = next(serializers.deserialize('json', data)).object self.assertEqual(obj.dt, dt.replace(microsecond=405000)) data = serializers.serialize('xml', [Event(dt=dt)]) self.assert_xml_contains_datetime(data, "2011-09-01T17:20:30.405060+07:00") obj = next(serializers.deserialize('xml', data)).object self.assertEqual(obj.dt, dt) if not isinstance(serializers.get_serializer('yaml'), serializers.BadSerializer): data = serializers.serialize('yaml', [Event(dt=dt)]) self.assert_yaml_contains_datetime(data, "2011-09-01 17:20:30.405060+07:00") obj = next(serializers.deserialize('yaml', data)).object self.assertEqual(obj.dt.replace(tzinfo=UTC), dt) def test_aware_datetime_in_utc(self): dt = datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC) data = serializers.serialize('python', [Event(dt=dt)]) self.assert_python_contains_datetime(data, dt) obj = next(serializers.deserialize('python', data)).object self.assertEqual(obj.dt, dt) data = serializers.serialize('json', [Event(dt=dt)]) self.assert_json_contains_datetime(data, "2011-09-01T10:20:30Z") obj = next(serializers.deserialize('json', data)).object self.assertEqual(obj.dt, dt) data = serializers.serialize('xml', [Event(dt=dt)]) self.assert_xml_contains_datetime(data, "2011-09-01T10:20:30+00:00") obj = next(serializers.deserialize('xml', data)).object self.assertEqual(obj.dt, dt) if not isinstance(serializers.get_serializer('yaml'), serializers.BadSerializer): data = serializers.serialize('yaml', [Event(dt=dt)]) self.assert_yaml_contains_datetime(data, "2011-09-01 10:20:30+00:00") obj = next(serializers.deserialize('yaml', data)).object self.assertEqual(obj.dt.replace(tzinfo=UTC), dt) def test_aware_datetime_in_local_timezone(self): dt = datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT) data = serializers.serialize('python', [Event(dt=dt)]) self.assert_python_contains_datetime(data, dt) obj = next(serializers.deserialize('python', data)).object self.assertEqual(obj.dt, dt) data = serializers.serialize('json', [Event(dt=dt)]) self.assert_json_contains_datetime(data, "2011-09-01T13:20:30+03:00") obj = next(serializers.deserialize('json', data)).object self.assertEqual(obj.dt, dt) data = serializers.serialize('xml', [Event(dt=dt)]) self.assert_xml_contains_datetime(data, "2011-09-01T13:20:30+03:00") obj = next(serializers.deserialize('xml', data)).object self.assertEqual(obj.dt, dt) if not isinstance(serializers.get_serializer('yaml'), serializers.BadSerializer): data = serializers.serialize('yaml', [Event(dt=dt)]) self.assert_yaml_contains_datetime(data, "2011-09-01 13:20:30+03:00") obj = next(serializers.deserialize('yaml', data)).object self.assertEqual(obj.dt.replace(tzinfo=UTC), dt) def test_aware_datetime_in_other_timezone(self): dt = datetime.datetime(2011, 9, 1, 17, 20, 30, tzinfo=ICT) data = serializers.serialize('python', [Event(dt=dt)]) self.assert_python_contains_datetime(data, dt) obj = next(serializers.deserialize('python', data)).object self.assertEqual(obj.dt, dt) data = serializers.serialize('json', [Event(dt=dt)]) self.assert_json_contains_datetime(data, "2011-09-01T17:20:30+07:00") obj = next(serializers.deserialize('json', data)).object self.assertEqual(obj.dt, dt) data = serializers.serialize('xml', [Event(dt=dt)]) self.assert_xml_contains_datetime(data, "2011-09-01T17:20:30+07:00") obj = next(serializers.deserialize('xml', data)).object self.assertEqual(obj.dt, dt) if not isinstance(serializers.get_serializer('yaml'), serializers.BadSerializer): data = serializers.serialize('yaml', [Event(dt=dt)]) self.assert_yaml_contains_datetime(data, "2011-09-01 17:20:30+07:00") obj = next(serializers.deserialize('yaml', data)).object self.assertEqual(obj.dt.replace(tzinfo=UTC), dt) @override_settings(DATETIME_FORMAT='c', TIME_ZONE='Africa/Nairobi', USE_L10N=False, USE_TZ=True) class TemplateTests(SimpleTestCase): @requires_tz_support def test_localtime_templatetag_and_filters(self): """ Test the {% localtime %} templatetag and related filters. """ datetimes = { 'utc': datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC), 'eat': datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT), 'ict': datetime.datetime(2011, 9, 1, 17, 20, 30, tzinfo=ICT), 'naive': datetime.datetime(2011, 9, 1, 13, 20, 30), } templates = { 'notag': Template("{% load tz %}{{ dt }}|{{ dt|localtime }}|{{ dt|utc }}|{{ dt|timezone:ICT }}"), 'noarg': Template( "{% load tz %}{% localtime %}{{ dt }}|{{ dt|localtime }}|" "{{ dt|utc }}|{{ dt|timezone:ICT }}{% endlocaltime %}" ), 'on': Template( "{% load tz %}{% localtime on %}{{ dt }}|{{ dt|localtime }}|" "{{ dt|utc }}|{{ dt|timezone:ICT }}{% endlocaltime %}" ), 'off': Template( "{% load tz %}{% localtime off %}{{ dt }}|{{ dt|localtime }}|" "{{ dt|utc }}|{{ dt|timezone:ICT }}{% endlocaltime %}" ), } # Transform a list of keys in 'datetimes' to the expected template # output. This makes the definition of 'results' more readable. def t(*result): return '|'.join(datetimes[key].isoformat() for key in result) # Results for USE_TZ = True results = { 'utc': { 'notag': t('eat', 'eat', 'utc', 'ict'), 'noarg': t('eat', 'eat', 'utc', 'ict'), 'on': t('eat', 'eat', 'utc', 'ict'), 'off': t('utc', 'eat', 'utc', 'ict'), }, 'eat': { 'notag': t('eat', 'eat', 'utc', 'ict'), 'noarg': t('eat', 'eat', 'utc', 'ict'), 'on': t('eat', 'eat', 'utc', 'ict'), 'off': t('eat', 'eat', 'utc', 'ict'), }, 'ict': { 'notag': t('eat', 'eat', 'utc', 'ict'), 'noarg': t('eat', 'eat', 'utc', 'ict'), 'on': t('eat', 'eat', 'utc', 'ict'), 'off': t('ict', 'eat', 'utc', 'ict'), }, 'naive': { 'notag': t('naive', 'eat', 'utc', 'ict'), 'noarg': t('naive', 'eat', 'utc', 'ict'), 'on': t('naive', 'eat', 'utc', 'ict'), 'off': t('naive', 'eat', 'utc', 'ict'), } } for k1, dt in datetimes.items(): for k2, tpl in templates.items(): ctx = Context({'dt': dt, 'ICT': ICT}) actual = tpl.render(ctx) expected = results[k1][k2] self.assertEqual(actual, expected, '%s / %s: %r != %r' % (k1, k2, actual, expected)) # Changes for USE_TZ = False results['utc']['notag'] = t('utc', 'eat', 'utc', 'ict') results['ict']['notag'] = t('ict', 'eat', 'utc', 'ict') with self.settings(USE_TZ=False): for k1, dt in datetimes.items(): for k2, tpl in templates.items(): ctx = Context({'dt': dt, 'ICT': ICT}) actual = tpl.render(ctx) expected = results[k1][k2] self.assertEqual(actual, expected, '%s / %s: %r != %r' % (k1, k2, actual, expected)) def test_localtime_filters_with_pytz(self): """ Test the |localtime, |utc, and |timezone filters with pytz. """ # Use a pytz timezone as local time tpl = Template("{% load tz %}{{ dt|localtime }}|{{ dt|utc }}") ctx = Context({'dt': datetime.datetime(2011, 9, 1, 12, 20, 30)}) with self.settings(TIME_ZONE='Europe/Paris'): self.assertEqual(tpl.render(ctx), "2011-09-01T12:20:30+02:00|2011-09-01T10:20:30+00:00") # Use a pytz timezone as argument tpl = Template("{% load tz %}{{ dt|timezone:tz }}") ctx = Context({'dt': datetime.datetime(2011, 9, 1, 13, 20, 30), 'tz': pytz.timezone('Europe/Paris')}) self.assertEqual(tpl.render(ctx), "2011-09-01T12:20:30+02:00") # Use a pytz timezone name as argument tpl = Template("{% load tz %}{{ dt|timezone:'Europe/Paris' }}") ctx = Context({'dt': datetime.datetime(2011, 9, 1, 13, 20, 30), 'tz': pytz.timezone('Europe/Paris')}) self.assertEqual(tpl.render(ctx), "2011-09-01T12:20:30+02:00") def test_localtime_templatetag_invalid_argument(self): with self.assertRaises(TemplateSyntaxError): Template("{% load tz %}{% localtime foo %}{% endlocaltime %}").render() def test_localtime_filters_do_not_raise_exceptions(self): """ Test the |localtime, |utc, and |timezone filters on bad inputs. """ tpl = Template("{% load tz %}{{ dt }}|{{ dt|localtime }}|{{ dt|utc }}|{{ dt|timezone:tz }}") with self.settings(USE_TZ=True): # bad datetime value ctx = Context({'dt': None, 'tz': ICT}) self.assertEqual(tpl.render(ctx), "None|||") ctx = Context({'dt': 'not a date', 'tz': ICT}) self.assertEqual(tpl.render(ctx), "not a date|||") # bad timezone value tpl = Template("{% load tz %}{{ dt|timezone:tz }}") ctx = Context({'dt': datetime.datetime(2011, 9, 1, 13, 20, 30), 'tz': None}) self.assertEqual(tpl.render(ctx), "") ctx = Context({'dt': datetime.datetime(2011, 9, 1, 13, 20, 30), 'tz': 'not a tz'}) self.assertEqual(tpl.render(ctx), "") @requires_tz_support def test_timezone_templatetag(self): """ Test the {% timezone %} templatetag. """ tpl = Template( "{% load tz %}" "{{ dt }}|" "{% timezone tz1 %}" "{{ dt }}|" "{% timezone tz2 %}" "{{ dt }}" "{% endtimezone %}" "{% endtimezone %}" ) ctx = Context({'dt': datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC), 'tz1': ICT, 'tz2': None}) self.assertEqual( tpl.render(ctx), "2011-09-01T13:20:30+03:00|2011-09-01T17:20:30+07:00|2011-09-01T13:20:30+03:00" ) def test_timezone_templatetag_with_pytz(self): """ Test the {% timezone %} templatetag with pytz. """ tpl = Template("{% load tz %}{% timezone tz %}{{ dt }}{% endtimezone %}") # Use a pytz timezone as argument ctx = Context({'dt': datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT), 'tz': pytz.timezone('Europe/Paris')}) self.assertEqual(tpl.render(ctx), "2011-09-01T12:20:30+02:00") # Use a pytz timezone name as argument ctx = Context({'dt': datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT), 'tz': 'Europe/Paris'}) self.assertEqual(tpl.render(ctx), "2011-09-01T12:20:30+02:00") def test_timezone_templatetag_invalid_argument(self): with self.assertRaises(TemplateSyntaxError): Template("{% load tz %}{% timezone %}{% endtimezone %}").render() with self.assertRaises(pytz.UnknownTimeZoneError): Template("{% load tz %}{% timezone tz %}{% endtimezone %}").render(Context({'tz': 'foobar'})) @skipIf(sys.platform.startswith('win'), "Windows uses non-standard time zone names") def test_get_current_timezone_templatetag(self): """ Test the {% get_current_timezone %} templatetag. """ tpl = Template("{% load tz %}{% get_current_timezone as time_zone %}{{ time_zone }}") self.assertEqual(tpl.render(Context()), "Africa/Nairobi") with timezone.override(UTC): self.assertEqual(tpl.render(Context()), "UTC") tpl = Template( "{% load tz %}{% timezone tz %}{% get_current_timezone as time_zone %}" "{% endtimezone %}{{ time_zone }}" ) self.assertEqual(tpl.render(Context({'tz': ICT})), "+0700") with timezone.override(UTC): self.assertEqual(tpl.render(Context({'tz': ICT})), "+0700") def test_get_current_timezone_templatetag_with_pytz(self): """ Test the {% get_current_timezone %} templatetag with pytz. """ tpl = Template("{% load tz %}{% get_current_timezone as time_zone %}{{ time_zone }}") with timezone.override(pytz.timezone('Europe/Paris')): self.assertEqual(tpl.render(Context()), "Europe/Paris") tpl = Template( "{% load tz %}{% timezone 'Europe/Paris' %}" "{% get_current_timezone as time_zone %}{% endtimezone %}" "{{ time_zone }}" ) self.assertEqual(tpl.render(Context()), "Europe/Paris") def test_get_current_timezone_templatetag_invalid_argument(self): with self.assertRaises(TemplateSyntaxError): Template("{% load tz %}{% get_current_timezone %}").render() @skipIf(sys.platform.startswith('win'), "Windows uses non-standard time zone names") def test_tz_template_context_processor(self): """ Test the django.template.context_processors.tz template context processor. """ tpl = Template("{{ TIME_ZONE }}") context = Context() self.assertEqual(tpl.render(context), "") request_context = RequestContext(HttpRequest(), processors=[context_processors.tz]) self.assertEqual(tpl.render(request_context), "Africa/Nairobi") @requires_tz_support def test_date_and_time_template_filters(self): tpl = Template("{{ dt|date:'Y-m-d' }} at {{ dt|time:'H:i:s' }}") ctx = Context({'dt': datetime.datetime(2011, 9, 1, 20, 20, 20, tzinfo=UTC)}) self.assertEqual(tpl.render(ctx), "2011-09-01 at 23:20:20") with timezone.override(ICT): self.assertEqual(tpl.render(ctx), "2011-09-02 at 03:20:20") def test_date_and_time_template_filters_honor_localtime(self): tpl = Template( "{% load tz %}{% localtime off %}{{ dt|date:'Y-m-d' }} at " "{{ dt|time:'H:i:s' }}{% endlocaltime %}" ) ctx = Context({'dt': datetime.datetime(2011, 9, 1, 20, 20, 20, tzinfo=UTC)}) self.assertEqual(tpl.render(ctx), "2011-09-01 at 20:20:20") with timezone.override(ICT): self.assertEqual(tpl.render(ctx), "2011-09-01 at 20:20:20") @requires_tz_support def test_now_template_tag_uses_current_time_zone(self): # Regression for #17343 tpl = Template("{% now \"O\" %}") self.assertEqual(tpl.render(Context({})), "+0300") with timezone.override(ICT): self.assertEqual(tpl.render(Context({})), "+0700") @override_settings(DATETIME_FORMAT='c', TIME_ZONE='Africa/Nairobi', USE_L10N=False, USE_TZ=False) class LegacyFormsTests(TestCase): def test_form(self): form = EventForm({'dt': '2011-09-01 13:20:30'}) self.assertTrue(form.is_valid()) self.assertEqual(form.cleaned_data['dt'], datetime.datetime(2011, 9, 1, 13, 20, 30)) def test_form_with_non_existent_time(self): form = EventForm({'dt': '2011-03-27 02:30:00'}) with timezone.override(pytz.timezone('Europe/Paris')): # this is obviously a bug self.assertTrue(form.is_valid()) self.assertEqual(form.cleaned_data['dt'], datetime.datetime(2011, 3, 27, 2, 30, 0)) def test_form_with_ambiguous_time(self): form = EventForm({'dt': '2011-10-30 02:30:00'}) with timezone.override(pytz.timezone('Europe/Paris')): # this is obviously a bug self.assertTrue(form.is_valid()) self.assertEqual(form.cleaned_data['dt'], datetime.datetime(2011, 10, 30, 2, 30, 0)) def test_split_form(self): form = EventSplitForm({'dt_0': '2011-09-01', 'dt_1': '13:20:30'}) self.assertTrue(form.is_valid()) self.assertEqual(form.cleaned_data['dt'], datetime.datetime(2011, 9, 1, 13, 20, 30)) def test_model_form(self): EventModelForm({'dt': '2011-09-01 13:20:30'}).save() e = Event.objects.get() self.assertEqual(e.dt, datetime.datetime(2011, 9, 1, 13, 20, 30)) @override_settings(DATETIME_FORMAT='c', TIME_ZONE='Africa/Nairobi', USE_L10N=False, USE_TZ=True) class NewFormsTests(TestCase): @requires_tz_support def test_form(self): form = EventForm({'dt': '2011-09-01 13:20:30'}) self.assertTrue(form.is_valid()) self.assertEqual(form.cleaned_data['dt'], datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC)) def test_form_with_other_timezone(self): form = EventForm({'dt': '2011-09-01 17:20:30'}) with timezone.override(ICT): self.assertTrue(form.is_valid()) self.assertEqual(form.cleaned_data['dt'], datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC)) def test_form_with_explicit_timezone(self): form = EventForm({'dt': '2011-09-01 17:20:30+07:00'}) # Datetime inputs formats don't allow providing a time zone. self.assertFalse(form.is_valid()) def test_form_with_non_existent_time(self): with timezone.override(pytz.timezone('Europe/Paris')): form = EventForm({'dt': '2011-03-27 02:30:00'}) self.assertFalse(form.is_valid()) self.assertEqual( form.errors['dt'], [ "2011-03-27 02:30:00 couldn't be interpreted in time zone " "Europe/Paris; it may be ambiguous or it may not exist." ] ) def test_form_with_ambiguous_time(self): with timezone.override(pytz.timezone('Europe/Paris')): form = EventForm({'dt': '2011-10-30 02:30:00'}) self.assertFalse(form.is_valid()) self.assertEqual( form.errors['dt'], [ "2011-10-30 02:30:00 couldn't be interpreted in time zone " "Europe/Paris; it may be ambiguous or it may not exist." ] ) @requires_tz_support def test_split_form(self): form = EventSplitForm({'dt_0': '2011-09-01', 'dt_1': '13:20:30'}) self.assertTrue(form.is_valid()) self.assertEqual(form.cleaned_data['dt'], datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC)) @requires_tz_support def test_localized_form(self): form = EventLocalizedForm(initial={'dt': datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT)}) with timezone.override(ICT): self.assertIn("2011-09-01 17:20:30", str(form)) @requires_tz_support def test_model_form(self): EventModelForm({'dt': '2011-09-01 13:20:30'}).save() e = Event.objects.get() self.assertEqual(e.dt, datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC)) @requires_tz_support def test_localized_model_form(self): form = EventLocalizedModelForm(instance=Event(dt=datetime.datetime(2011, 9, 1, 13, 20, 30, tzinfo=EAT))) with timezone.override(ICT): self.assertIn("2011-09-01 17:20:30", str(form)) @override_settings( DATETIME_FORMAT='c', TIME_ZONE='Africa/Nairobi', USE_L10N=False, USE_TZ=True, ROOT_URLCONF='timezones.urls', ) class AdminTests(TestCase): @classmethod def setUpTestData(cls): cls.u1 = User.objects.create_user( password='secret', last_login=datetime.datetime(2007, 5, 30, 13, 20, 10, tzinfo=UTC), is_superuser=True, username='super', first_name='Super', last_name='User', email='super@example.com', is_staff=True, is_active=True, date_joined=datetime.datetime(2007, 5, 30, 13, 20, 10, tzinfo=UTC), ) def setUp(self): self.client.force_login(self.u1) @requires_tz_support def test_changelist(self): e = Event.objects.create(dt=datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC)) response = self.client.get(reverse('admin_tz:timezones_event_changelist')) self.assertContains(response, e.dt.astimezone(EAT).isoformat()) def test_changelist_in_other_timezone(self): e = Event.objects.create(dt=datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC)) with timezone.override(ICT): response = self.client.get(reverse('admin_tz:timezones_event_changelist')) self.assertContains(response, e.dt.astimezone(ICT).isoformat()) @requires_tz_support def test_change_editable(self): e = Event.objects.create(dt=datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC)) response = self.client.get(reverse('admin_tz:timezones_event_change', args=(e.pk,))) self.assertContains(response, e.dt.astimezone(EAT).date().isoformat()) self.assertContains(response, e.dt.astimezone(EAT).time().isoformat()) def test_change_editable_in_other_timezone(self): e = Event.objects.create(dt=datetime.datetime(2011, 9, 1, 10, 20, 30, tzinfo=UTC)) with timezone.override(ICT): response = self.client.get(reverse('admin_tz:timezones_event_change', args=(e.pk,))) self.assertContains(response, e.dt.astimezone(ICT).date().isoformat()) self.assertContains(response, e.dt.astimezone(ICT).time().isoformat()) @requires_tz_support def test_change_readonly(self): Timestamp.objects.create() # re-fetch the object for backends that lose microseconds (MySQL) t = Timestamp.objects.get() response = self.client.get(reverse('admin_tz:timezones_timestamp_change', args=(t.pk,))) self.assertContains(response, t.created.astimezone(EAT).isoformat()) def test_change_readonly_in_other_timezone(self): Timestamp.objects.create() # re-fetch the object for backends that lose microseconds (MySQL) t = Timestamp.objects.get() with timezone.override(ICT): response = self.client.get(reverse('admin_tz:timezones_timestamp_change', args=(t.pk,))) self.assertContains(response, t.created.astimezone(ICT).isoformat())

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7c8ca4c664aa4764fad5d018bdaafbaaf1f3be23

10,699

py

Python

data/craigslist_scraper.py

llampwall/JordansList

d0cbe44650f95d2dbeaba73dc5e45493c1025c0f

[ "MIT" ]

null

data/craigslist_scraper.py

llampwall/JordansList

d0cbe44650f95d2dbeaba73dc5e45493c1025c0f

[ "MIT" ]

1

2021-03-10T12:10:08.000Z

data/craigslist_scraper.py

llampwall/JordansList

d0cbe44650f95d2dbeaba73dc5e45493c1025c0f

[ "MIT" ]

null

import sys from bs4 import BeautifulSoup as bs from requests import get import json search_url = 'https://losangeles.craigslist.org/search/{}?hasPic=1' search_url_nopics = 'https://losangeles.craigslist.org/search/{}' image_url = 'https://images.craigslist.org/{}_600x450.jpg' forsale_slugs = { 'ata' : 'antiques', 'ppa' : 'appliances', 'pta' : 'auto-parts', 'bia' : 'bikes', 'cba' : 'collectibles', 'ela' : 'electronics', 'foa' : 'general' } forsale_results = [] index = 0 for key, value in forsale_slugs.items(): print(key, '->', value) search = search_url.format(key) print(search) response = get(search) # get posts html_soup = bs(response.text, 'html.parser') posts = html_soup.find_all('li', class_='result-row') # get pics soup = bs(response.content, 'lxml') ids = [item['data-ids'].replace('1:','') for item in soup.select('.result-image[data-ids]')] images = [image_url.format(j) for i in ids for j in i.split(',')] # get dates dates = [item['title'] for item in soup.select('.result-date')] for i in range(1, 26): cur = { 'id': index + i, 'city': 'la', 'category': 'for-sale', 'listing': value, 'title': posts[i].find('a', class_='result-title hdrlnk').text, 'price': float(posts[i].a.text.strip().replace('$', '')), 'images': images[i], 'uploaded': dates[i], 'desc': 'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.' } forsale_results.append(cur) index+=25 ################################################################################################## housing_slugs = { 'apa' : 'apts-or-housing', 'swp' : 'housing-swap', 'hsw' : 'housing-wanted', 'off' : 'office-or-commercial', 'prk' : 'parking-or-storage', 'rea' : 'real-estate-for-sale', 'roo' : 'rooms-or-shared', 'sha' : 'rooms-wanted' } housing_results = [] for key, value in housing_slugs.items(): print(key, '->', value) search = search_url.format(key) print(search) response = get(search) # get posts html_soup = bs(response.text, 'html.parser') posts = html_soup.find_all('li', class_='result-row') # get pics soup = bs(response.content, 'lxml') ids = [item['data-ids'].replace('1:','') for item in soup.select('.result-image[data-ids]')] images = [image_url.format(j) for i in ids for j in i.split(',')] # get dates dates = [item['title'] for item in soup.select('.result-date')] for i in range(1, 26): cur = { 'id': index + i, 'city': 'la', 'category': 'housing', 'listing': value, 'title': posts[i].find('a', class_='result-title hdrlnk').text, 'price': float(posts[i].a.text.strip().replace('$', '')), 'images': images[i], 'uploaded': dates[i], 'desc': 'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.' } housing_results.append(cur) index+=25 ###################################################################################### community_slugs = { 'act' : 'activities', 'ats' : 'artists', 'kid' : 'childcare', 'cls' : 'classes', 'eve' : 'events', 'com' : 'general', 'grp' : 'groups', 'vnn' : 'local-news' } community_results = [] for key, value in community_slugs.items(): print(key, '->', value) search = search_url_nopics.format(key) print(search) response = get(search) # get posts html_soup = bs(response.text, 'html.parser') posts = html_soup.find_all('li', class_='result-row') # get dates dates = [item['title'] for item in soup.select('.result-date')] for i in range(1, 26): cur = { 'id': index + i, 'city': 'la', 'category': 'community', 'listing': value, 'title': posts[i].find('a', class_='result-title hdrlnk').text, 'price': '', 'images': '', 'uploaded': dates[i], 'desc': 'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.' } community_results.append(cur) index+=25 ###################################################################################### jobs_slugs = { 'acc' : 'finance', 'ofc' : 'admin-or-office', 'egr' : 'arch-or-engineering', 'med' : 'art-or-media-or-design', 'sci' : 'biotech-or-science', 'bus' : 'business-or-mgmt', 'csr' : 'customer-service', 'edu' : 'education' } jobs_results = [] for key, value in jobs_slugs.items(): print(key, '->', value) search = search_url_nopics.format(key) print(search) response = get(search) # get posts html_soup = bs(response.text, 'html.parser') posts = html_soup.find_all('li', class_='result-row') # get dates dates = [item['title'] for item in soup.select('.result-date')] for i in range(1, 26): cur = { 'id': index + i, 'city': 'la', 'category': 'jobs', 'listing': value, 'title': posts[i].find('a', class_='result-title hdrlnk').text, 'price': '', 'images': '', 'uploaded': dates[i], 'desc': 'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.' } jobs_results.append(cur) index+=25 ###################################################################################### services_slugs = { 'aos' : 'automotive', 'bts' : 'beauty', 'cms' : 'cell-or-mobile', 'cps' : 'computer', 'crs' : 'creative', 'cys' : 'cycle', 'evs' : 'event', 'fgs' : 'farm-and-garden' } services_results = [] for key, value in services_slugs.items(): print(key, '->', value) search = search_url_nopics.format(key) print(search) response = get(search) # get posts html_soup = bs(response.text, 'html.parser') posts = html_soup.find_all('li', class_='result-row') # get dates dates = [item['title'] for item in soup.select('.result-date')] for i in range(1, 26): cur = { 'id': index + i, 'city': 'la', 'category': 'services', 'listing': value, 'title': posts[i].find('a', class_='result-title hdrlnk').text, 'price': '', 'images': '', 'uploaded': dates[i], 'desc': 'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.' } services_results.append(cur) index+=25 ###################################################################################### gigs_slugs = { 'cpg' : 'computer', 'crg' : 'creative', 'cwg' : 'crew', 'dmg' : 'domestic', 'evg' : 'event', 'lbg' : 'labor', 'tlg' : 'talent', 'wrg' : 'writing' } gigs_results = [] for key, value in gigs_slugs.items(): print(key, '->', value) search = search_url_nopics.format(key) print(search) response = get(search) # get posts html_soup = bs(response.text, 'html.parser') posts = html_soup.find_all('li', class_='result-row') # get dates dates = [item['title'] for item in soup.select('.result-date')] for i in range(1, 26): cur = { 'id': index + i, 'city': 'la', 'category': 'gigs', 'listing': value, 'title': posts[i].find('a', class_='result-title hdrlnk').text, 'price': '', 'images': '', 'uploaded': dates[i], 'desc': 'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.' } gigs_results.append(cur) index+=25 ########################################################################################## results = forsale_results + housing_results + community_results + jobs_results + services_results + gigs_results with open('new.js', 'w') as f: f.write('module.exports = ') json.dump(results, f) f.close()

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468

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10,699

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null

0

1

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null

0

6

6b04b716c81e94468f8807cb02a76ebf01691a06

611,940

py

Python

intrepid/gmtaskmodel_pb2.py

intrepid-geophysics/intrepid-protobuf-py

e01a11e139b0ed3bb9500a8153939d7acfa8b3b4

[ "Apache-2.0" ]

1

2020-07-08T04:41:52.000Z

intrepid/gmtaskmodel_pb2.py

intrepid-geophysics/intrepid-protobuf-py

e01a11e139b0ed3bb9500a8153939d7acfa8b3b4

[ "Apache-2.0" ]

null

intrepid/gmtaskmodel_pb2.py

intrepid-geophysics/intrepid-protobuf-py

e01a11e139b0ed3bb9500a8153939d7acfa8b3b4

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: gmtaskmodel.proto """Generated protocol buffer code.""" from google.protobuf.internal import enum_type_wrapper from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() import intrepid.commontaskmodel_pb2 as commontaskmodel__pb2 import intrepid.vtktasksup_pb2 as vtktasksup__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='gmtaskmodel.proto', package='gmtaskmodel', syntax='proto2', serialized_options=None, create_key=_descriptor._internal_create_key, serialized_pb=b'\n\x11gmtaskmodel.proto\x12\x0bgmtaskmodel\x1a\x15\x63ommontaskmodel.proto\x1a\x10vtktasksup.proto\"\xfa\x03\n\rFoliation_GMT\x12*\n\x05Point\x18\x01 \x01(\x0b\x32\x1b.gmtaskmodel.AddPoint2d_GMT\x12,\n\x07Point3D\x18\x02 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, dependencies=[commontaskmodel__pb2.DESCRIPTOR,vtktasksup__pb2.DESCRIPTOR,]) _GEOMODELLERDATASOURCE = _descriptor.EnumDescriptor( name='GeomodellerDataSource', full_name='gmtaskmodel.GeomodellerDataSource', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='Project', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='File', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=34270, serialized_end=34316, ) _sym_db.RegisterEnumDescriptor(_GEOMODELLERDATASOURCE) GeomodellerDataSource = enum_type_wrapper.EnumTypeWrapper(_GEOMODELLERDATASOURCE) _SECTIONRENDERSTYLE = _descriptor.EnumDescriptor( name='SectionRenderStyle', full_name='gmtaskmodel.SectionRenderStyle', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='Solid_Fill', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Boundary_Lines', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Geology_Trends', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=34318, serialized_end=34394, ) _sym_db.RegisterEnumDescriptor(_SECTIONRENDERSTYLE) SectionRenderStyle = enum_type_wrapper.EnumTypeWrapper(_SECTIONRENDERSTYLE) _FAULTCENTRETYPE = _descriptor.EnumDescriptor( name='FaultCentreType', full_name='gmtaskmodel.FaultCentreType', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='MEAN_POSITION', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='BOUNDINGBOX_CENTRE', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='USER_SPECIFIED', index=2, number=99, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=34396, serialized_end=34476, ) _sym_db.RegisterEnumDescriptor(_FAULTCENTRETYPE) FaultCentreType = enum_type_wrapper.EnumTypeWrapper(_FAULTCENTRETYPE) _FORMATS2D = _descriptor.EnumDescriptor( name='Formats2D', full_name='gmtaskmodel.Formats2D', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='FT_SHP', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='FT_MAPINFO', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='FT_ASCIIBRGM', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='FT_CSV', index=3, number=4, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=34478, serialized_end=34547, ) _sym_db.RegisterEnumDescriptor(_FORMATS2D) Formats2D = enum_type_wrapper.EnumTypeWrapper(_FORMATS2D) _ASSOCIATED_ORIENTATIONMETHOD = _descriptor.EnumDescriptor( name='Associated_OrientationMethod', full_name='gmtaskmodel.Associated_OrientationMethod', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='UNDEFINED', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='DIP', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='DIPAZIMUTH', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='LINEORIENTATION', index=3, number=3, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='ORTHOGONAL', index=4, number=4, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=34549, serialized_end=34656, ) _sym_db.RegisterEnumDescriptor(_ASSOCIATED_ORIENTATIONMETHOD) Associated_OrientationMethod = enum_type_wrapper.EnumTypeWrapper(_ASSOCIATED_ORIENTATIONMETHOD) _IMPORTACTION = _descriptor.EnumDescriptor( name='ImportAction', full_name='gmtaskmodel.ImportAction', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='CreateFault', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='CreateFormation', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='CreateDyke', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='MergeFault', index=3, number=3, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='MergeFormation', index=4, number=5, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Import_default', index=5, number=6, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=34658, serialized_end=34782, ) _sym_db.RegisterEnumDescriptor(_IMPORTACTION) ImportAction = enum_type_wrapper.EnumTypeWrapper(_IMPORTACTION) _COMPOSITESTYLE = _descriptor.EnumDescriptor( name='CompositeStyle', full_name='gmtaskmodel.CompositeStyle', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='Start_Collar', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='First_NonNull', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=34784, serialized_end=34837, ) _sym_db.RegisterEnumDescriptor(_COMPOSITESTYLE) CompositeStyle = enum_type_wrapper.EnumTypeWrapper(_COMPOSITESTYLE) _COMPOSITEREPLACEMENTSTYLE = _descriptor.EnumDescriptor( name='CompositeReplacementStyle', full_name='gmtaskmodel.CompositeReplacementStyle', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='BackgroundValue', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='WeightedMean', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=34839, serialized_end=34905, ) _sym_db.RegisterEnumDescriptor(_COMPOSITEREPLACEMENTSTYLE) CompositeReplacementStyle = enum_type_wrapper.EnumTypeWrapper(_COMPOSITEREPLACEMENTSTYLE) _COMPOSITEWEIGHTINGSTYLE = _descriptor.EnumDescriptor( name='CompositeWeightingStyle', full_name='gmtaskmodel.CompositeWeightingStyle', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='length_weighting', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='density_weighting', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=34907, serialized_end=34977, ) _sym_db.RegisterEnumDescriptor(_COMPOSITEWEIGHTINGSTYLE) CompositeWeightingStyle = enum_type_wrapper.EnumTypeWrapper(_COMPOSITEWEIGHTINGSTYLE) _TYPEOFANALYSIS = _descriptor.EnumDescriptor( name='TypeOfAnalysis', full_name='gmtaskmodel.TypeOfAnalysis', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='RhoThetaPhi', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='RhoTheta', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Rho', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='UVT', index=3, number=3, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='OnlyT', index=4, number=4, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=34979, serialized_end=35055, ) _sym_db.RegisterEnumDescriptor(_TYPEOFANALYSIS) TypeOfAnalysis = enum_type_wrapper.EnumTypeWrapper(_TYPEOFANALYSIS) _KRIGINGDOMAIN = _descriptor.EnumDescriptor( name='KrigingDomain', full_name='gmtaskmodel.KrigingDomain', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='Series', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Formation', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='NoDomain', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=35057, serialized_end=35113, ) _sym_db.RegisterEnumDescriptor(_KRIGINGDOMAIN) KrigingDomain = enum_type_wrapper.EnumTypeWrapper(_KRIGINGDOMAIN) _KRIGING_WHICHVARIOGRAM = _descriptor.EnumDescriptor( name='Kriging_WhichVariogram', full_name='gmtaskmodel.Kriging_WhichVariogram', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='Kriging_U', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Kriging_V', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Kriging_W', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Kriging_RHO', index=3, number=3, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Kriging_T', index=4, number=4, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Kriging_UV', index=5, number=5, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=35115, serialized_end=35232, ) _sym_db.RegisterEnumDescriptor(_KRIGING_WHICHVARIOGRAM) Kriging_WhichVariogram = enum_type_wrapper.EnumTypeWrapper(_KRIGING_WHICHVARIOGRAM) _MESH_FACET_TOPOLOGY = _descriptor.EnumDescriptor( name='Mesh_facet_topology', full_name='gmtaskmodel.Mesh_facet_topology', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='FACET_VERTICES_ON_SURFACE', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='FACET_VERTICES_ON_SAME_SURFACE_PATCH', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='FACET_VERTICES_ON_SAME_SURFACE_PATCH_WITH_ADJACENCY_CHECK', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=35235, serialized_end=35392, ) _sym_db.RegisterEnumDescriptor(_MESH_FACET_TOPOLOGY) Mesh_facet_topology = enum_type_wrapper.EnumTypeWrapper(_MESH_FACET_TOPOLOGY) _OPTMANIFOLDREQUEST = _descriptor.EnumDescriptor( name='OptManifoldRequest', full_name='gmtaskmodel.OptManifoldRequest', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='manifold', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='manifold_with_boundary', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='non_manifold', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=35394, serialized_end=35474, ) _sym_db.RegisterEnumDescriptor(_OPTMANIFOLDREQUEST) OptManifoldRequest = enum_type_wrapper.EnumTypeWrapper(_OPTMANIFOLDREQUEST) _SITETYPE3D = _descriptor.EnumDescriptor( name='SiteType3D', full_name='gmtaskmodel.SiteType3D', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='VRML_Site', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='PDF3D_Site', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='PDF3D_direct', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='ADOBE_PRC', index=3, number=3, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=35476, serialized_end=35552, ) _sym_db.RegisterEnumDescriptor(_SITETYPE3D) SiteType3D = enum_type_wrapper.EnumTypeWrapper(_SITETYPE3D) _GEOMODELLERDATATYPE = _descriptor.EnumDescriptor( name='GeomodellerDataType', full_name='gmtaskmodel.GeomodellerDataType', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='Structure', index=0, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Model', index=1, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='MeshGrid', index=2, number=3, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='DrillHoles', index=3, number=4, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Inversion_Result', index=4, number=5, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='All_Parts', index=5, number=10, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=35554, serialized_end=35668, ) _sym_db.RegisterEnumDescriptor(_GEOMODELLERDATATYPE) GeomodellerDataType = enum_type_wrapper.EnumTypeWrapper(_GEOMODELLERDATATYPE) _DISTRIBUTION_TYPE = _descriptor.EnumDescriptor( name='Distribution_Type', full_name='gmtaskmodel.Distribution_Type', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='TopFormation_Gradient', index=0, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='TopAndBottom', index=1, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='DepthParameter_Gradient', index=2, number=3, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='BottomFormation_Gradient', index=3, number=4, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=35670, serialized_end=35793, ) _sym_db.RegisterEnumDescriptor(_DISTRIBUTION_TYPE) Distribution_Type = enum_type_wrapper.EnumTypeWrapper(_DISTRIBUTION_TYPE) _FOLDTYPE = _descriptor.EnumDescriptor( name='FoldType', full_name='gmtaskmodel.FoldType', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='Anticline', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Syncline', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Antiform', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Synform', index=3, number=3, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Dome', index=4, number=4, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Basin', index=5, number=5, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Monocline', index=6, number=6, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Chevron', index=7, number=7, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Recumbent', index=8, number=8, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Slump', index=9, number=9, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Ptygmatic', index=10, number=10, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Parasitic', index=11, number=11, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Disharmonic', index=12, number=12, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=35796, serialized_end=35984, ) _sym_db.RegisterEnumDescriptor(_FOLDTYPE) FoldType = enum_type_wrapper.EnumTypeWrapper(_FOLDTYPE) _FOLDMECHANISM = _descriptor.EnumDescriptor( name='FoldMechanism', full_name='gmtaskmodel.FoldMechanism', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='FlexuralSlip', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Buckling', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='MassDisplacement', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=35986, serialized_end=36055, ) _sym_db.RegisterEnumDescriptor(_FOLDMECHANISM) FoldMechanism = enum_type_wrapper.EnumTypeWrapper(_FOLDMECHANISM) _FOLDTIGHTNESS = _descriptor.EnumDescriptor( name='FoldTightness', full_name='gmtaskmodel.FoldTightness', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='Gentle', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='OpenFold', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='TightFold', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=36057, serialized_end=36113, ) _sym_db.RegisterEnumDescriptor(_FOLDTIGHTNESS) FoldTightness = enum_type_wrapper.EnumTypeWrapper(_FOLDTIGHTNESS) _DEFORMATIONSTYLE = _descriptor.EnumDescriptor( name='DeformationStyle', full_name='gmtaskmodel.DeformationStyle', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='Class1', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Class1A', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Class1B', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Class1C', index=3, number=3, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Class2', index=4, number=4, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Class3', index=5, number=5, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=36115, serialized_end=36208, ) _sym_db.RegisterEnumDescriptor(_DEFORMATIONSTYLE) DeformationStyle = enum_type_wrapper.EnumTypeWrapper(_DEFORMATIONSTYLE) _HINGEPOLARITY = _descriptor.EnumDescriptor( name='HingePolarity', full_name='gmtaskmodel.HingePolarity', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='Hinge_Left', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='Hinge_Right', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=36210, serialized_end=36258, ) _sym_db.RegisterEnumDescriptor(_HINGEPOLARITY) HingePolarity = enum_type_wrapper.EnumTypeWrapper(_HINGEPOLARITY) Project = 0 File = 1 Solid_Fill = 0 Boundary_Lines = 1 Geology_Trends = 2 MEAN_POSITION = 0 BOUNDINGBOX_CENTRE = 1 USER_SPECIFIED = 99 FT_SHP = 0 FT_MAPINFO = 1 FT_ASCIIBRGM = 2 FT_CSV = 4 UNDEFINED = 0 DIP = 1 DIPAZIMUTH = 2 LINEORIENTATION = 3 ORTHOGONAL = 4 CreateFault = 0 CreateFormation = 1 CreateDyke = 2 MergeFault = 3 MergeFormation = 5 Import_default = 6 Start_Collar = 0 First_NonNull = 1 BackgroundValue = 0 WeightedMean = 1 length_weighting = 0 density_weighting = 1 RhoThetaPhi = 0 RhoTheta = 1 Rho = 2 UVT = 3 OnlyT = 4 Series = 0 Formation = 1 NoDomain = 2 Kriging_U = 0 Kriging_V = 1 Kriging_W = 2 Kriging_RHO = 3 Kriging_T = 4 Kriging_UV = 5 FACET_VERTICES_ON_SURFACE = 0 FACET_VERTICES_ON_SAME_SURFACE_PATCH = 1 FACET_VERTICES_ON_SAME_SURFACE_PATCH_WITH_ADJACENCY_CHECK = 2 manifold = 0 manifold_with_boundary = 1 non_manifold = 2 VRML_Site = 0 PDF3D_Site = 1 PDF3D_direct = 2 ADOBE_PRC = 3 Structure = 1 Model = 2 MeshGrid = 3 DrillHoles = 4 Inversion_Result = 5 All_Parts = 10 TopFormation_Gradient = 1 TopAndBottom = 2 DepthParameter_Gradient = 3 BottomFormation_Gradient = 4 Anticline = 0 Syncline = 1 Antiform = 2 Synform = 3 Dome = 4 Basin = 5 Monocline = 6 Chevron = 7 Recumbent = 8 Slump = 9 Ptygmatic = 10 Parasitic = 11 Disharmonic = 12 FlexuralSlip = 0 Buckling = 1 MassDisplacement = 2 Gentle = 0 OpenFold = 1 TightFold = 2 Class1 = 0 Class1A = 1 Class1B = 2 Class1C = 3 Class2 = 4 Class3 = 5 Hinge_Left = 0 Hinge_Right = 1 _BUILDTRIPLELINES_GMT_EXPORTTRIPLELINES_TRIPLELINE_EXPORTFORMAT = _descriptor.EnumDescriptor( name='TripleLine_ExportFormat', full_name='gmtaskmodel.BuildTripleLines_GMT.ExportTripleLines.TripleLine_ExportFormat', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='TripleLine_ASCII_LONG', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='TripleLine_ASCII_CGAL', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='TripleLine_VTK', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=18381, serialized_end=18480, ) _sym_db.RegisterEnumDescriptor(_BUILDTRIPLELINES_GMT_EXPORTTRIPLELINES_TRIPLELINE_EXPORTFORMAT) _EXPORT3DSHAPES_GMT_FILETYPE3D = _descriptor.EnumDescriptor( name='FileType3D', full_name='gmtaskmodel.Export3DShapes_GMT.FileType3D', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='TSURF', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='VULCAN', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='IGES', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='STEP', index=3, number=3, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='DXF12', index=4, number=4, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='DXF13', index=5, number=5, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='VTP', index=6, number=6, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='STL', index=7, number=7, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='VTU', index=8, number=8, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='FEFLOW', index=9, number=9, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='MEDIT', index=10, number=10, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='C3T3', index=11, number=11, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='COMSOL', index=12, number=12, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=22635, serialized_end=22784, ) _sym_db.RegisterEnumDescriptor(_EXPORT3DSHAPES_GMT_FILETYPE3D) _EXPORT3DSHAPES_GMT_MESHTYPE = _descriptor.EnumDescriptor( name='MeshType', full_name='gmtaskmodel.Export3DShapes_GMT.MeshType', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='SURFACE', index=0, number=10, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='SHELL', index=1, number=11, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='VOLUME', index=2, number=12, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=22786, serialized_end=22832, ) _sym_db.RegisterEnumDescriptor(_EXPORT3DSHAPES_GMT_MESHTYPE) _AXIS_CONTROL_GMT_DIRECTION = _descriptor.EnumDescriptor( name='direction', full_name='gmtaskmodel.Axis_Control_GMT.direction', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='u', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='v', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=24176, serialized_end=24201, ) _sym_db.RegisterEnumDescriptor(_AXIS_CONTROL_GMT_DIRECTION) _MESHUNITFORGEOPHYS_GMT_THINNINGFUNCTION = _descriptor.EnumDescriptor( name='ThinningFunction', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.ThinningFunction', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='LINEAR', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='ANISOTROPIC', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=25995, serialized_end=26042, ) _sym_db.RegisterEnumDescriptor(_MESHUNITFORGEOPHYS_GMT_THINNINGFUNCTION) _MESHUNITFORGEOPHYS_GMT_SAMPLEMETHOD = _descriptor.EnumDescriptor( name='SampleMethod', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.SampleMethod', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='INPUT_POINT_CLOUD', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='POTENTIAL_FIELD', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=26044, serialized_end=26102, ) _sym_db.RegisterEnumDescriptor(_MESHUNITFORGEOPHYS_GMT_SAMPLEMETHOD) _FOLIATION_GMT = _descriptor.Descriptor( name='Foliation_GMT', full_name='gmtaskmodel.Foliation_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='Point', full_name='gmtaskmodel.Foliation_GMT.Point', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Point3D', full_name='gmtaskmodel.Foliation_GMT.Point3D', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dip', full_name='gmtaskmodel.Foliation_GMT.dip', index=2, number=3, type=1, cpp_type=5, label=2, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='direction', full_name='gmtaskmodel.Foliation_GMT.direction', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='azimuth', full_name='gmtaskmodel.Foliation_GMT.azimuth', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DipDistribution', full_name='gmtaskmodel.Foliation_GMT.DipDistribution', index=5, number=11, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DirectionDistribution', full_name='gmtaskmodel.Foliation_GMT.DirectionDistribution', index=6, number=12, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Provenance', full_name='gmtaskmodel.Foliation_GMT.Provenance', index=7, number=6, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='polarity', full_name='gmtaskmodel.Foliation_GMT.polarity', index=8, number=7, type=14, cpp_type=8, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='observationID', full_name='gmtaskmodel.Foliation_GMT.observationID', index=9, number=8, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Intensity', full_name='gmtaskmodel.Foliation_GMT.Intensity', index=10, number=9, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='spherical_variance_kappa', full_name='gmtaskmodel.Foliation_GMT.spherical_variance_kappa', index=11, number=10, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(2), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.Foliation_GMT.log', index=12, number=20, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"foliation.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=76, serialized_end=582, ) _APPARENTDIP_GMT = _descriptor.Descriptor( name='ApparentDip_GMT', full_name='gmtaskmodel.ApparentDip_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='Point', full_name='gmtaskmodel.ApparentDip_GMT.Point', index=0, number=1, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DipDistribution', full_name='gmtaskmodel.ApparentDip_GMT.DipDistribution', index=1, number=11, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Provenance', full_name='gmtaskmodel.ApparentDip_GMT.Provenance', index=2, number=3, type=14, cpp_type=8, label=1, has_default_value=True, default_value=4, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='observationID', full_name='gmtaskmodel.ApparentDip_GMT.observationID', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dip_error', full_name='gmtaskmodel.ApparentDip_GMT.dip_error', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ApparentDip_GMT.log', index=5, number=6, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"apparent_dip.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=585, serialized_end=844, ) _SETMODELBOUNDS_GMT = _descriptor.Descriptor( name='SetModelBounds_GMT', full_name='gmtaskmodel.SetModelBounds_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='Extents', full_name='gmtaskmodel.SetModelBounds_GMT.Extents', index=0, number=1, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.SetModelBounds_GMT.log', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"set_model_bounds.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=846, serialized_end=936, ) _GETMODELBOUNDS_GMT = _descriptor.Descriptor( name='GetModelBounds_GMT', full_name='gmtaskmodel.GetModelBounds_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='Extents', full_name='gmtaskmodel.GetModelBounds_GMT.Extents', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.GetModelBounds_GMT.log', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"get_model_bounds.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=938, serialized_end=1028, ) _OPENPROJECTGUI_GMT = _descriptor.Descriptor( name='OpenProjectGUI_GMT', full_name='gmtaskmodel.OpenProjectGUI_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.OpenProjectGUI_GMT.filename', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.OpenProjectGUI_GMT.log', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"open_project.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1030, serialized_end=1099, ) _OPENPROJECTNOGUI_GMT = _descriptor.Descriptor( name='OpenProjectNoGUI_GMT', full_name='gmtaskmodel.OpenProjectNoGUI_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.OpenProjectNoGUI_GMT.filename', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.OpenProjectNoGUI_GMT.log', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"open_project.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1101, serialized_end=1172, ) _CLOSEPROJECTNOGUI_GMT = _descriptor.Descriptor( name='CloseProjectNoGUI_GMT', full_name='gmtaskmodel.CloseProjectNoGUI_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.CloseProjectNoGUI_GMT.filename', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CloseProjectNoGUI_GMT.log', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"close_project.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1174, serialized_end=1247, ) _SAVEPROJECT_GMT = _descriptor.Descriptor( name='SaveProject_GMT', full_name='gmtaskmodel.SaveProject_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='without_computed_model', full_name='gmtaskmodel.SaveProject_GMT.without_computed_model', index=0, number=2, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.SaveProject_GMT.log', index=1, number=1, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"save_project.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1249, serialized_end=1336, ) _SAVEPROJECTAS_GMT = _descriptor.Descriptor( name='SaveProjectAs_GMT', full_name='gmtaskmodel.SaveProjectAs_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.SaveProjectAs_GMT.filename', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='without_computed_model', full_name='gmtaskmodel.SaveProjectAs_GMT.without_computed_model', index=1, number=2, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.SaveProjectAs_GMT.log', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"save_project_as.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1338, serialized_end=1448, ) _CUSTOMDTM_GMT = _descriptor.Descriptor( name='CustomDTM_GMT', full_name='gmtaskmodel.CustomDTM_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='isGDM', full_name='gmtaskmodel.CustomDTM_GMT.isGDM', index=0, number=1, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='name', full_name='gmtaskmodel.CustomDTM_GMT.name', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.CustomDTM_GMT.filename', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Extents', full_name='gmtaskmodel.CustomDTM_GMT.Extents', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='nx', full_name='gmtaskmodel.CustomDTM_GMT.nx', index=4, number=5, type=5, cpp_type=1, label=1, has_default_value=True, default_value=5, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ny', full_name='gmtaskmodel.CustomDTM_GMT.ny', index=5, number=6, type=5, cpp_type=1, label=1, has_default_value=True, default_value=5, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='degree1', full_name='gmtaskmodel.CustomDTM_GMT.degree1', index=6, number=7, type=5, cpp_type=1, label=1, has_default_value=True, default_value=3, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='degree2', full_name='gmtaskmodel.CustomDTM_GMT.degree2', index=7, number=8, type=5, cpp_type=1, label=1, has_default_value=True, default_value=5, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='sub_sample_rate', full_name='gmtaskmodel.CustomDTM_GMT.sub_sample_rate', index=8, number=9, type=5, cpp_type=1, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='elevation_error', full_name='gmtaskmodel.CustomDTM_GMT.elevation_error', index=9, number=10, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='isElevationMeasure', full_name='gmtaskmodel.CustomDTM_GMT.isElevationMeasure', index=10, number=11, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='units', full_name='gmtaskmodel.CustomDTM_GMT.units', index=11, number=12, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='spatial_location_error', full_name='gmtaskmodel.CustomDTM_GMT.spatial_location_error', index=12, number=13, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='shape_file', full_name='gmtaskmodel.CustomDTM_GMT.shape_file', index=13, number=14, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CustomDTM_GMT.log', index=14, number=20, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"custom_dtm.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1451, serialized_end=1854, ) _HORIZONTALDTM_GMT = _descriptor.Descriptor( name='HorizontalDTM_GMT', full_name='gmtaskmodel.HorizontalDTM_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='name', full_name='gmtaskmodel.HorizontalDTM_GMT.name', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='elevation', full_name='gmtaskmodel.HorizontalDTM_GMT.elevation', index=1, number=2, type=1, cpp_type=5, label=2, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='spatial_location_error', full_name='gmtaskmodel.HorizontalDTM_GMT.spatial_location_error', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.HorizontalDTM_GMT.log', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"horizontal_dtm.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1856, serialized_end=1973, ) _CREATEPROJECT_GMT = _descriptor.Descriptor( name='CreateProject_GMT', full_name='gmtaskmodel.CreateProject_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='CustomDTM', full_name='gmtaskmodel.CreateProject_GMT.CustomDTM', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='HorizontalDTM', full_name='gmtaskmodel.CreateProject_GMT.HorizontalDTM', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='name', full_name='gmtaskmodel.CreateProject_GMT.name', index=2, number=3, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='author', full_name='gmtaskmodel.CreateProject_GMT.author', index=3, number=4, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='date', full_name='gmtaskmodel.CreateProject_GMT.date', index=4, number=5, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"01/01/2012 00:00:00".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='description', full_name='gmtaskmodel.CreateProject_GMT.description', index=5, number=6, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='projection', full_name='gmtaskmodel.CreateProject_GMT.projection', index=6, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='version', full_name='gmtaskmodel.CreateProject_GMT.version', index=7, number=8, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"3".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='units', full_name='gmtaskmodel.CreateProject_GMT.units', index=8, number=9, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Zunits', full_name='gmtaskmodel.CreateProject_GMT.Zunits', index=9, number=10, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='precision', full_name='gmtaskmodel.CreateProject_GMT.precision', index=10, number=12, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Extents', full_name='gmtaskmodel.CreateProject_GMT.Extents', index=11, number=14, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CreateFromVoxet', full_name='gmtaskmodel.CreateProject_GMT.CreateFromVoxet', index=12, number=15, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='deflection2d', full_name='gmtaskmodel.CreateProject_GMT.deflection2d', index=13, number=16, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0.001), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='deflection3d', full_name='gmtaskmodel.CreateProject_GMT.deflection3d', index=14, number=17, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0.001), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='discretisation', full_name='gmtaskmodel.CreateProject_GMT.discretisation', index=15, number=18, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(10), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dynamicSelection', full_name='gmtaskmodel.CreateProject_GMT.dynamicSelection', index=16, number=19, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='referenceTop', full_name='gmtaskmodel.CreateProject_GMT.referenceTop', index=17, number=20, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CreateProject_GMT.log', index=18, number=30, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"create_project.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='run', full_name='gmtaskmodel.CreateProject_GMT.run', index=19, number=40, type=5, cpp_type=1, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=1976, serialized_end=2657, ) _MODELINTERPOLATIONPARAMETERS_GMT = _descriptor.Descriptor( name='ModelInterpolationParameters_GMT', full_name='gmtaskmodel.ModelInterpolationParameters_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='Range', full_name='gmtaskmodel.ModelInterpolationParameters_GMT.Range', index=0, number=1, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(10000), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Contacts_Nugget_Effect', full_name='gmtaskmodel.ModelInterpolationParameters_GMT.Contacts_Nugget_Effect', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1e-06), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Gradients_Nugget_Effect', full_name='gmtaskmodel.ModelInterpolationParameters_GMT.Gradients_Nugget_Effect', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0.01), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='FaultDriftEquationDegree', full_name='gmtaskmodel.ModelInterpolationParameters_GMT.FaultDriftEquationDegree', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Anisotropy', full_name='gmtaskmodel.ModelInterpolationParameters_GMT.Anisotropy', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='series', full_name='gmtaskmodel.ModelInterpolationParameters_GMT.series', index=5, number=6, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='exotic_constraints', full_name='gmtaskmodel.ModelInterpolationParameters_GMT.exotic_constraints', index=6, number=7, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ModelInterpolationParameters_GMT.log', index=7, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=2660, serialized_end=2981, ) _ANISOTROPIC_EFFECT_GMT = _descriptor.Descriptor( name='Anisotropic_Effect_GMT', full_name='gmtaskmodel.Anisotropic_Effect_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='Azimuth', full_name='gmtaskmodel.Anisotropic_Effect_GMT.Azimuth', index=0, number=1, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Dip', full_name='gmtaskmodel.Anisotropic_Effect_GMT.Dip', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Pitch', full_name='gmtaskmodel.Anisotropic_Effect_GMT.Pitch', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='LocalXRange', full_name='gmtaskmodel.Anisotropic_Effect_GMT.LocalXRange', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1000), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='LocalYRange', full_name='gmtaskmodel.Anisotropic_Effect_GMT.LocalYRange', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1000), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='LocalZRange', full_name='gmtaskmodel.Anisotropic_Effect_GMT.LocalZRange', index=5, number=6, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1000), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.Anisotropic_Effect_GMT.log', index=6, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=2984, serialized_end=3157, ) _EXOTICCONSTRAINT_GMT = _descriptor.Descriptor( name='ExoticConstraint_GMT', full_name='gmtaskmodel.ExoticConstraint_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='lithology', full_name='gmtaskmodel.ExoticConstraint_GMT.lithology', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='type', full_name='gmtaskmodel.ExoticConstraint_GMT.type', index=1, number=2, type=13, cpp_type=3, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=3159, serialized_end=3214, ) _COMPUTEMODEL_GMT = _descriptor.Descriptor( name='ComputeModel_GMT', full_name='gmtaskmodel.ComputeModel_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='SeriesList', full_name='gmtaskmodel.ComputeModel_GMT.SeriesList', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='SectionList', full_name='gmtaskmodel.ComputeModel_GMT.SectionList', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='FaultList', full_name='gmtaskmodel.ComputeModel_GMT.FaultList', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='BoreholeList', full_name='gmtaskmodel.ComputeModel_GMT.BoreholeList', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Extents', full_name='gmtaskmodel.ComputeModel_GMT.Extents', index=4, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='radius', full_name='gmtaskmodel.ComputeModel_GMT.radius', index=5, number=5, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(10), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='MinimumDykeThickness', full_name='gmtaskmodel.ComputeModel_GMT.MinimumDykeThickness', index=6, number=7, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(2), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dump_system', full_name='gmtaskmodel.ComputeModel_GMT.dump_system', index=7, number=8, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='calc_uncertainty', full_name='gmtaskmodel.ComputeModel_GMT.calc_uncertainty', index=8, number=9, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='faults_only', full_name='gmtaskmodel.ComputeModel_GMT.faults_only', index=9, number=10, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dykes_only', full_name='gmtaskmodel.ComputeModel_GMT.dykes_only', index=10, number=11, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='SeriesInterpolationParameters', full_name='gmtaskmodel.ComputeModel_GMT.SeriesInterpolationParameters', index=11, number=12, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='FaultInterpolationParameters', full_name='gmtaskmodel.ComputeModel_GMT.FaultInterpolationParameters', index=12, number=13, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ComputeModel_GMT.log', index=13, number=20, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"compute_model.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=3217, serialized_end=3808, ) _RENDERMODEL_GMT = _descriptor.Descriptor( name='RenderModel_GMT', full_name='gmtaskmodel.RenderModel_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='nx', full_name='gmtaskmodel.RenderModel_GMT.nx', index=0, number=1, type=5, cpp_type=1, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ny', full_name='gmtaskmodel.RenderModel_GMT.ny', index=1, number=2, type=5, cpp_type=1, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='nz', full_name='gmtaskmodel.RenderModel_GMT.nz', index=2, number=3, type=5, cpp_type=1, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='generateSurfaces', full_name='gmtaskmodel.RenderModel_GMT.generateSurfaces', index=3, number=4, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='generateVolumes', full_name='gmtaskmodel.RenderModel_GMT.generateVolumes', index=4, number=5, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='grid', full_name='gmtaskmodel.RenderModel_GMT.grid', index=5, number=6, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='buildFormations', full_name='gmtaskmodel.RenderModel_GMT.buildFormations', index=6, number=7, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='buildFaults', full_name='gmtaskmodel.RenderModel_GMT.buildFaults', index=7, number=8, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='buildDykes', full_name='gmtaskmodel.RenderModel_GMT.buildDykes', index=8, number=22, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='adaptToTopo', full_name='gmtaskmodel.RenderModel_GMT.adaptToTopo', index=9, number=9, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='topoLimited', full_name='gmtaskmodel.RenderModel_GMT.topoLimited', index=10, number=10, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='adaptX', full_name='gmtaskmodel.RenderModel_GMT.adaptX', index=11, number=11, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='adaptY', full_name='gmtaskmodel.RenderModel_GMT.adaptY', index=12, number=12, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='adaptZ', full_name='gmtaskmodel.RenderModel_GMT.adaptZ', index=13, number=13, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='lookForOverturned', full_name='gmtaskmodel.RenderModel_GMT.lookForOverturned', index=14, number=14, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='createShapes', full_name='gmtaskmodel.RenderModel_GMT.createShapes', index=15, number=15, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='restart', full_name='gmtaskmodel.RenderModel_GMT.restart', index=16, number=16, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='smoothingIterations', full_name='gmtaskmodel.RenderModel_GMT.smoothingIterations', index=17, number=17, type=5, cpp_type=1, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Extents', full_name='gmtaskmodel.RenderModel_GMT.Extents', index=18, number=18, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.RenderModel_GMT.log', index=19, number=25, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"render_model.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=3811, serialized_end=4342, ) _RENDERMODELONSECTION_GMT = _descriptor.Descriptor( name='RenderModelOnSection_GMT', full_name='gmtaskmodel.RenderModelOnSection_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='nu', full_name='gmtaskmodel.RenderModelOnSection_GMT.nu', index=0, number=1, type=5, cpp_type=1, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='nv', full_name='gmtaskmodel.RenderModelOnSection_GMT.nv', index=1, number=2, type=5, cpp_type=1, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='section', full_name='gmtaskmodel.RenderModelOnSection_GMT.section', index=2, number=3, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.RenderModelOnSection_GMT.filename', index=3, number=4, type=9, cpp_type=9, label=2, has_default_value=True, default_value=b"section.png".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Format', full_name='gmtaskmodel.RenderModelOnSection_GMT.Format', index=4, number=5, type=14, cpp_type=8, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Style', full_name='gmtaskmodel.RenderModelOnSection_GMT.Style', index=5, number=6, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='projection_distance', full_name='gmtaskmodel.RenderModelOnSection_GMT.projection_distance', index=6, number=7, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.RenderModelOnSection_GMT.log', index=7, number=25, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"render_section.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=4345, serialized_end=4615, ) _CREATEFAULT_GMT = _descriptor.Descriptor( name='CreateFault_GMT', full_name='gmtaskmodel.CreateFault_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='name', full_name='gmtaskmodel.CreateFault_GMT.name', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='red', full_name='gmtaskmodel.CreateFault_GMT.red', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(255), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='green', full_name='gmtaskmodel.CreateFault_GMT.green', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(255), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='blue', full_name='gmtaskmodel.CreateFault_GMT.blue', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Thickness', full_name='gmtaskmodel.CreateFault_GMT.Thickness', index=4, number=6, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CreateFault_GMT.log', index=5, number=9, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"create_fault.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=4618, serialized_end=4757, ) _SET3DFAULTLIMITS_GMT = _descriptor.Descriptor( name='Set3dFaultLimits_GMT', full_name='gmtaskmodel.Set3dFaultLimits_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='Fault_name', full_name='gmtaskmodel.Set3dFaultLimits_GMT.Fault_name', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Horizontal', full_name='gmtaskmodel.Set3dFaultLimits_GMT.Horizontal', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1000), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Vertical', full_name='gmtaskmodel.Set3dFaultLimits_GMT.Vertical', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1000), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='InfluenceDistance', full_name='gmtaskmodel.Set3dFaultLimits_GMT.InfluenceDistance', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(100), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.Set3dFaultLimits_GMT.log', index=4, number=5, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"set_fault_limits.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=4760, serialized_end=4919, ) _FAULTCENTRE_GMT = _descriptor.Descriptor( name='FaultCentre_GMT', full_name='gmtaskmodel.FaultCentre_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='fault_name', full_name='gmtaskmodel.FaultCentre_GMT.fault_name', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='type', full_name='gmtaskmodel.FaultCentre_GMT.type', index=1, number=2, type=14, cpp_type=8, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='location', full_name='gmtaskmodel.FaultCentre_GMT.location', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=4922, serialized_end=5050, ) _CREATEFORMATION_GMT = _descriptor.Descriptor( name='CreateFormation_GMT', full_name='gmtaskmodel.CreateFormation_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='name', full_name='gmtaskmodel.CreateFormation_GMT.name', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='red', full_name='gmtaskmodel.CreateFormation_GMT.red', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='green', full_name='gmtaskmodel.CreateFormation_GMT.green', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(125), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='blue', full_name='gmtaskmodel.CreateFormation_GMT.blue', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(255), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='LithologyProperty', full_name='gmtaskmodel.CreateFormation_GMT.LithologyProperty', index=4, number=5, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CreateFormation_GMT.log', index=5, number=10, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"create_formation.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=5053, serialized_end=5233, ) _CREATEDYKE_GMT = _descriptor.Descriptor( name='CreateDyke_GMT', full_name='gmtaskmodel.CreateDyke_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='name', full_name='gmtaskmodel.CreateDyke_GMT.name', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='red', full_name='gmtaskmodel.CreateDyke_GMT.red', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(125), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='green', full_name='gmtaskmodel.CreateDyke_GMT.green', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(255), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='blue', full_name='gmtaskmodel.CreateDyke_GMT.blue', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='LithologyProperty', full_name='gmtaskmodel.CreateDyke_GMT.LithologyProperty', index=4, number=5, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CreateDyke_GMT.log', index=5, number=10, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"create_dyke.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=5236, serialized_end=5406, ) _EXPORTSECTION_GMT = _descriptor.Descriptor( name='ExportSection_GMT', full_name='gmtaskmodel.ExportSection_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='section', full_name='gmtaskmodel.ExportSection_GMT.section', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.ExportSection_GMT.filename', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ExportSection_GMT.log', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"export_section.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=5408, serialized_end=5495, ) _EXPORT2DDATA_GMT = _descriptor.Descriptor( name='Export2DData_GMT', full_name='gmtaskmodel.Export2DData_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='section', full_name='gmtaskmodel.Export2DData_GMT.section', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.Export2DData_GMT.filename', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='format', full_name='gmtaskmodel.Export2DData_GMT.format', index=2, number=3, type=14, cpp_type=8, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='type', full_name='gmtaskmodel.Export2DData_GMT.type', index=3, number=4, type=14, cpp_type=8, label=2, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.Export2DData_GMT.log', index=4, number=5, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"export_2D_data.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=5498, serialized_end=5669, ) _CENTRALVERTICALPOTENTIALANDRANK_GMT = _descriptor.Descriptor( name='CentralVerticalPotentialAndRank_GMT', full_name='gmtaskmodel.CentralVerticalPotentialAndRank_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='message', full_name='gmtaskmodel.CentralVerticalPotentialAndRank_GMT.message', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.CentralVerticalPotentialAndRank_GMT.filename', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=5671, serialized_end=5743, ) _GETMODELSUMMARY_GMT = _descriptor.Descriptor( name='GetModelSummary_GMT', full_name='gmtaskmodel.GetModelSummary_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.GetModelSummary_GMT.filename', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='level', full_name='gmtaskmodel.GetModelSummary_GMT.level', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.GetModelSummary_GMT.log', index=2, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=5745, serialized_end=5816, ) _SETSERIES_GMT = _descriptor.Descriptor( name='SetSeries_GMT', full_name='gmtaskmodel.SetSeries_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='name', full_name='gmtaskmodel.SetSeries_GMT.name', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='position', full_name='gmtaskmodel.SetSeries_GMT.position', index=1, number=2, type=5, cpp_type=1, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='relation', full_name='gmtaskmodel.SetSeries_GMT.relation', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"any".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='erelation', full_name='gmtaskmodel.SetSeries_GMT.erelation', index=3, number=5, type=14, cpp_type=8, label=1, has_default_value=True, default_value=5, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.SetSeries_GMT.log', index=4, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=5819, serialized_end=5958, ) _ADDFORMATIONTOSERIES_GMT = _descriptor.Descriptor( name='AddFormationToSeries_GMT', full_name='gmtaskmodel.AddFormationToSeries_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='series', full_name='gmtaskmodel.AddFormationToSeries_GMT.series', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='formation', full_name='gmtaskmodel.AddFormationToSeries_GMT.formation', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.AddFormationToSeries_GMT.log', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=5960, serialized_end=6034, ) _ADDDYKETOSERIES_GMT = _descriptor.Descriptor( name='AddDykeToSeries_GMT', full_name='gmtaskmodel.AddDykeToSeries_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='series', full_name='gmtaskmodel.AddDykeToSeries_GMT.series', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dyke', full_name='gmtaskmodel.AddDykeToSeries_GMT.dyke', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='asBase', full_name='gmtaskmodel.AddDykeToSeries_GMT.asBase', index=2, number=3, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.AddDykeToSeries_GMT.log', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=6036, serialized_end=6122, ) _ADDPOINT3D_GMT = _descriptor.Descriptor( name='AddPoint3d_GMT', full_name='gmtaskmodel.AddPoint3d_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='x', full_name='gmtaskmodel.AddPoint3d_GMT.x', index=0, number=1, type=1, cpp_type=5, label=2, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='y', full_name='gmtaskmodel.AddPoint3d_GMT.y', index=1, number=2, type=1, cpp_type=5, label=2, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='z', full_name='gmtaskmodel.AddPoint3d_GMT.z', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(-999999), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='spatial_location_error', full_name='gmtaskmodel.AddPoint3d_GMT.spatial_location_error', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.AddPoint3d_GMT.log', index=4, number=5, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=6124, serialized_end=6227, ) _POINTLIST3D_GMT = _descriptor.Descriptor( name='PointList3d_GMT', full_name='gmtaskmodel.PointList3d_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='Point', full_name='gmtaskmodel.PointList3d_GMT.Point', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.PointList3d_GMT.log', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=6229, serialized_end=6303, ) _ADDPOINT2D_GMT = _descriptor.Descriptor( name='AddPoint2d_GMT', full_name='gmtaskmodel.AddPoint2d_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='u', full_name='gmtaskmodel.AddPoint2d_GMT.u', index=0, number=1, type=1, cpp_type=5, label=2, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='v', full_name='gmtaskmodel.AddPoint2d_GMT.v', index=1, number=2, type=1, cpp_type=5, label=2, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='spatial_location_error', full_name='gmtaskmodel.AddPoint2d_GMT.spatial_location_error', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.AddPoint2d_GMT.log', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=6305, serialized_end=6388, ) _POINTLIST2D_GMT = _descriptor.Descriptor( name='PointList2d_GMT', full_name='gmtaskmodel.PointList2d_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='Point', full_name='gmtaskmodel.PointList2d_GMT.Point', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.PointList2d_GMT.log', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=6390, serialized_end=6464, ) _CREATESECTION_GMT = _descriptor.Descriptor( name='CreateSection_GMT', full_name='gmtaskmodel.CreateSection_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='name', full_name='gmtaskmodel.CreateSection_GMT.name', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='PointList', full_name='gmtaskmodel.CreateSection_GMT.PointList', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='degrees', full_name='gmtaskmodel.CreateSection_GMT.degrees', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='direction', full_name='gmtaskmodel.CreateSection_GMT.direction', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dip', full_name='gmtaskmodel.CreateSection_GMT.dip', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(-90), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Extents', full_name='gmtaskmodel.CreateSection_GMT.Extents', index=5, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='InputDataBase', full_name='gmtaskmodel.CreateSection_GMT.InputDataBase', index=6, number=12, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='LineNumber', full_name='gmtaskmodel.CreateSection_GMT.LineNumber', index=7, number=13, type=5, cpp_type=1, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='MaxSectionPoints', full_name='gmtaskmodel.CreateSection_GMT.MaxSectionPoints', index=8, number=17, type=5, cpp_type=1, label=1, has_default_value=True, default_value=5, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ClipToProject', full_name='gmtaskmodel.CreateSection_GMT.ClipToProject', index=9, number=18, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CreateSection_GMT.log', index=10, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=6467, serialized_end=6758, ) _CREATESEGYTHUMBNAIL_GMT = _descriptor.Descriptor( name='CreateSegYThumbnail_GMT', full_name='gmtaskmodel.CreateSegYThumbnail_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.CreateSegYThumbnail_GMT.filename', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='standarddeviation', full_name='gmtaskmodel.CreateSegYThumbnail_GMT.standarddeviation', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(3), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='colourmap', full_name='gmtaskmodel.CreateSegYThumbnail_GMT.colourmap', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(2), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CreateSegYThumbnail_GMT.log', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=6760, serialized_end=6868, ) _ADDINTERFACETOSECTION_GMT = _descriptor.Descriptor( name='AddInterfaceToSection_GMT', full_name='gmtaskmodel.AddInterfaceToSection_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='section', full_name='gmtaskmodel.AddInterfaceToSection_GMT.section', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='topFormation', full_name='gmtaskmodel.AddInterfaceToSection_GMT.topFormation', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='bottomFormation', full_name='gmtaskmodel.AddInterfaceToSection_GMT.bottomFormation', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"dummy".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='PointList', full_name='gmtaskmodel.AddInterfaceToSection_GMT.PointList', index=3, number=4, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='OrientationMethod', full_name='gmtaskmodel.AddInterfaceToSection_GMT.OrientationMethod', index=4, number=5, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dip', full_name='gmtaskmodel.AddInterfaceToSection_GMT.dip', index=5, number=6, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='azimuth', full_name='gmtaskmodel.AddInterfaceToSection_GMT.azimuth', index=6, number=7, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='polarity', full_name='gmtaskmodel.AddInterfaceToSection_GMT.polarity', index=7, number=8, type=14, cpp_type=8, label=1, has_default_value=False, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='provenance', full_name='gmtaskmodel.AddInterfaceToSection_GMT.provenance', index=8, number=9, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='location', full_name='gmtaskmodel.AddInterfaceToSection_GMT.location', index=9, number=10, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='spherical_variance_kappa', full_name='gmtaskmodel.AddInterfaceToSection_GMT.spherical_variance_kappa', index=10, number=12, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(2), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.AddInterfaceToSection_GMT.log', index=11, number=13, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=6871, serialized_end=7288, ) _ADDFOLIATIONTOSECTION_GMT = _descriptor.Descriptor( name='AddFoliationToSection_GMT', full_name='gmtaskmodel.AddFoliationToSection_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='section', full_name='gmtaskmodel.AddFoliationToSection_GMT.section', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='formation', full_name='gmtaskmodel.AddFoliationToSection_GMT.formation', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='foliation', full_name='gmtaskmodel.AddFoliationToSection_GMT.foliation', index=2, number=3, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.AddFoliationToSection_GMT.log', index=3, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=7290, serialized_end=7413, ) _ADD3DFOLIATIONTOFORMATION_GMT = _descriptor.Descriptor( name='Add3DFoliationToFormation_GMT', full_name='gmtaskmodel.Add3DFoliationToFormation_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='formation', full_name='gmtaskmodel.Add3DFoliationToFormation_GMT.formation', index=0, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='foliation', full_name='gmtaskmodel.Add3DFoliationToFormation_GMT.foliation', index=1, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.Add3DFoliationToFormation_GMT.log', index=2, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=7415, serialized_end=7525, ) _ADD3DINTERFACESTOFORMATION_GMT = _descriptor.Descriptor( name='Add3DInterfacesToFormation_GMT', full_name='gmtaskmodel.Add3DInterfacesToFormation_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='formation', full_name='gmtaskmodel.Add3DInterfacesToFormation_GMT.formation', index=0, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='point', full_name='gmtaskmodel.Add3DInterfacesToFormation_GMT.point', index=1, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.Add3DInterfacesToFormation_GMT.log', index=2, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=7527, serialized_end=7620, ) _ADDAPPARENTDIPTOSECTION_GMT = _descriptor.Descriptor( name='AddApparentDipToSection_GMT', full_name='gmtaskmodel.AddApparentDipToSection_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='section', full_name='gmtaskmodel.AddApparentDipToSection_GMT.section', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='formation', full_name='gmtaskmodel.AddApparentDipToSection_GMT.formation', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='apparentdip', full_name='gmtaskmodel.AddApparentDipToSection_GMT.apparentdip', index=2, number=3, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.AddApparentDipToSection_GMT.log', index=3, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=7623, serialized_end=7752, ) _ADDDYKESTRUCTURALDATATOSECTION_GMT = _descriptor.Descriptor( name='AddDykeStructuralDataToSection_GMT', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='section', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.section', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dyke_name', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.dyke_name', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Point', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.Point', index=2, number=3, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dip', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.dip', index=3, number=34, type=1, cpp_type=5, label=2, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='direction', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.direction', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='strike', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.strike', index=5, number=6, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DipDistribution', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.DipDistribution', index=6, number=11, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DirectionDistribution', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.DirectionDistribution', index=7, number=12, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Provenance', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.Provenance', index=8, number=7, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='polarity', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.polarity', index=9, number=17, type=14, cpp_type=8, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='observationID', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.observationID', index=10, number=8, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='thickness', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.thickness', index=11, number=9, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='length', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.length', index=12, number=10, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(100), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='height', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.height', index=13, number=18, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(100), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='susceptibility', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.susceptibility', index=14, number=19, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0.01), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='rms', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.rms', index=15, number=13, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='thickness_error', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.thickness_error', index=16, number=15, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='spherical_variance_kappa', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.spherical_variance_kappa', index=17, number=14, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(2), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='OrientationMethod', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.OrientationMethod', index=18, number=16, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.AddDykeStructuralDataToSection_GMT.log', index=19, number=20, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=7755, serialized_end=8456, ) _CREATE3DPOINT_GMT = _descriptor.Descriptor( name='Create3DPoint_GMT', full_name='gmtaskmodel.Create3DPoint_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='point', full_name='gmtaskmodel.Create3DPoint_GMT.point', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.Create3DPoint_GMT.log', index=1, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=8458, serialized_end=8519, ) _IMPORT2DDATATOSECTION_GMT = _descriptor.Descriptor( name='Import2dDataToSection_GMT', full_name='gmtaskmodel.Import2dDataToSection_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='section', full_name='gmtaskmodel.Import2dDataToSection_GMT.section', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.Import2dDataToSection_GMT.filename', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='spatial_location_error', full_name='gmtaskmodel.Import2dDataToSection_GMT.spatial_location_error', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.Import2dDataToSection_GMT.log', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"read_import2d_section.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=8522, serialized_end=8656, ) _READANDIMPORT2DDATATOASECTION_GMT = _descriptor.Descriptor( name='ReadAndImport2dDataToASection_GMT', full_name='gmtaskmodel.ReadAndImport2dDataToASection_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='section', full_name='gmtaskmodel.ReadAndImport2dDataToASection_GMT.section', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.ReadAndImport2dDataToASection_GMT.filename', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='type', full_name='gmtaskmodel.ReadAndImport2dDataToASection_GMT.type', index=2, number=3, type=14, cpp_type=8, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='FieldList', full_name='gmtaskmodel.ReadAndImport2dDataToASection_GMT.FieldList', index=3, number=4, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='spatial_location_error', full_name='gmtaskmodel.ReadAndImport2dDataToASection_GMT.spatial_location_error', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ReadAndImport2dDataToASection_GMT.log', index=5, number=6, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"read_import2d.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=8659, serialized_end=8878, ) _READANDIMPORT3DDATA_GMT = _descriptor.Descriptor( name='ReadAndImport3dData_GMT', full_name='gmtaskmodel.ReadAndImport3dData_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='contact_csv_file', full_name='gmtaskmodel.ReadAndImport3dData_GMT.contact_csv_file', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='foliation_csv_file', full_name='gmtaskmodel.ReadAndImport3dData_GMT.foliation_csv_file', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='limits_csv_file', full_name='gmtaskmodel.ReadAndImport3dData_GMT.limits_csv_file', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='contact_header_linestoSkip', full_name='gmtaskmodel.ReadAndImport3dData_GMT.contact_header_linestoSkip', index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=True, default_value=3, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='foliation_header_linestoSkip', full_name='gmtaskmodel.ReadAndImport3dData_GMT.foliation_header_linestoSkip', index=4, number=5, type=5, cpp_type=1, label=1, has_default_value=True, default_value=3, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='fault_limit_header_linestoSkip', full_name='gmtaskmodel.ReadAndImport3dData_GMT.fault_limit_header_linestoSkip', index=5, number=6, type=5, cpp_type=1, label=1, has_default_value=True, default_value=4, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='type', full_name='gmtaskmodel.ReadAndImport3dData_GMT.type', index=6, number=8, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='operation', full_name='gmtaskmodel.ReadAndImport3dData_GMT.operation', index=7, number=9, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Treat_Tag_As_Text_Only', full_name='gmtaskmodel.ReadAndImport3dData_GMT.Treat_Tag_As_Text_Only', index=8, number=10, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='spatial_location_error', full_name='gmtaskmodel.ReadAndImport3dData_GMT.spatial_location_error', index=9, number=20, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='vertical_location_error', full_name='gmtaskmodel.ReadAndImport3dData_GMT.vertical_location_error', index=10, number=22, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ReadAndImport3dData_GMT.log', index=11, number=21, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"import3d.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=8881, serialized_end=9347, ) _IMPORTMICROSEISMICEVENTS_GMT = _descriptor.Descriptor( name='ImportMicroSeismicEvents_GMT', full_name='gmtaskmodel.ImportMicroSeismicEvents_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='events_csv_file', full_name='gmtaskmodel.ImportMicroSeismicEvents_GMT.events_csv_file', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='events_header_linestoSkip', full_name='gmtaskmodel.ImportMicroSeismicEvents_GMT.events_header_linestoSkip', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=True, default_value=3, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='MeshGrid_Name', full_name='gmtaskmodel.ImportMicroSeismicEvents_GMT.MeshGrid_Name', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ignoreFields', full_name='gmtaskmodel.ImportMicroSeismicEvents_GMT.ignoreFields', index=3, number=5, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='spatial_location_error', full_name='gmtaskmodel.ImportMicroSeismicEvents_GMT.spatial_location_error', index=4, number=20, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='vertical_location_error', full_name='gmtaskmodel.ImportMicroSeismicEvents_GMT.vertical_location_error', index=5, number=22, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CreateDateTime', full_name='gmtaskmodel.ImportMicroSeismicEvents_GMT.CreateDateTime', index=6, number=9, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ImportMicroSeismicEvents_GMT.log', index=7, number=21, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"import3d_microseismic.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=9350, serialized_end=9624, ) _SURVEYDIRECTION_GMT = _descriptor.Descriptor( name='SurveyDirection_GMT', full_name='gmtaskmodel.SurveyDirection_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='dip', full_name='gmtaskmodel.SurveyDirection_GMT.dip', index=0, number=1, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(90), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='azimuth', full_name='gmtaskmodel.SurveyDirection_GMT.azimuth', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='length', full_name='gmtaskmodel.SurveyDirection_GMT.length', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=9626, serialized_end=9700, ) _LITHOLOGYINTERVAL_GMT = _descriptor.Descriptor( name='LithologyInterval_GMT', full_name='gmtaskmodel.LithologyInterval_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='from', full_name='gmtaskmodel.LithologyInterval_GMT.from', index=0, number=1, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='to', full_name='gmtaskmodel.LithologyInterval_GMT.to', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='geology', full_name='gmtaskmodel.LithologyInterval_GMT.geology', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=9702, serialized_end=9768, ) _CREATEDRILLHOLE_GMT = _descriptor.Descriptor( name='CreateDrillhole_GMT', full_name='gmtaskmodel.CreateDrillhole_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='HoleID', full_name='gmtaskmodel.CreateDrillhole_GMT.HoleID', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Collar', full_name='gmtaskmodel.CreateDrillhole_GMT.Collar', index=1, number=2, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='SurveyDirection', full_name='gmtaskmodel.CreateDrillhole_GMT.SurveyDirection', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='LithologyInterval', full_name='gmtaskmodel.CreateDrillhole_GMT.LithologyInterval', index=3, number=4, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CreateDrillhole_GMT.log', index=4, number=5, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"create_drillhole.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=9771, serialized_end=10010, ) _LOADDRILLHOLES_GMT = _descriptor.Descriptor( name='LoadDrillholes_GMT', full_name='gmtaskmodel.LoadDrillholes_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='precision', full_name='gmtaskmodel.LoadDrillholes_GMT.precision', index=0, number=1, type=1, cpp_type=5, label=2, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='collarFile', full_name='gmtaskmodel.LoadDrillholes_GMT.collarFile', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='surveyFile', full_name='gmtaskmodel.LoadDrillholes_GMT.surveyFile', index=2, number=3, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='geologyFile', full_name='gmtaskmodel.LoadDrillholes_GMT.geologyFile', index=3, number=4, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='collarAliases', full_name='gmtaskmodel.LoadDrillholes_GMT.collarAliases', index=4, number=5, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='surveyAliases', full_name='gmtaskmodel.LoadDrillholes_GMT.surveyAliases', index=5, number=6, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='geologyAliases', full_name='gmtaskmodel.LoadDrillholes_GMT.geologyAliases', index=6, number=7, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='invertDips', full_name='gmtaskmodel.LoadDrillholes_GMT.invertDips', index=7, number=8, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='scanOnly', full_name='gmtaskmodel.LoadDrillholes_GMT.scanOnly', index=8, number=9, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='downhole_distance_error', full_name='gmtaskmodel.LoadDrillholes_GMT.downhole_distance_error', index=9, number=10, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='downhole_azimuth_error', full_name='gmtaskmodel.LoadDrillholes_GMT.downhole_azimuth_error', index=10, number=11, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='downhole_declination_error', full_name='gmtaskmodel.LoadDrillholes_GMT.downhole_declination_error', index=11, number=12, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.LoadDrillholes_GMT.log', index=12, number=13, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"load_drillholes.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=10013, serialized_end=10442, ) _COMPOSITEDRILLHOLES_GMT = _descriptor.Descriptor( name='CompositeDrillholes_GMT', full_name='gmtaskmodel.CompositeDrillholes_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='DoAllAssayFields', full_name='gmtaskmodel.CompositeDrillholes_GMT.DoAllAssayFields', index=0, number=1, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AssayField', full_name='gmtaskmodel.CompositeDrillholes_GMT.AssayField', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Suffix', full_name='gmtaskmodel.CompositeDrillholes_GMT.Suffix', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"Reg".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DensityField', full_name='gmtaskmodel.CompositeDrillholes_GMT.DensityField', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Support_Length', full_name='gmtaskmodel.CompositeDrillholes_GMT.Support_Length', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(2), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Build_Style', full_name='gmtaskmodel.CompositeDrillholes_GMT.Build_Style', index=5, number=6, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Restart_On_Nulls', full_name='gmtaskmodel.CompositeDrillholes_GMT.Restart_On_Nulls', index=6, number=7, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='restart_interval', full_name='gmtaskmodel.CompositeDrillholes_GMT.restart_interval', index=7, number=8, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(2), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='internal_null_replacement', full_name='gmtaskmodel.CompositeDrillholes_GMT.internal_null_replacement', index=8, number=9, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='external_null_replacement', full_name='gmtaskmodel.CompositeDrillholes_GMT.external_null_replacement', index=9, number=10, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Enable_Trailing_Interval_Length_Threshold', full_name='gmtaskmodel.CompositeDrillholes_GMT.Enable_Trailing_Interval_Length_Threshold', index=10, number=11, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='low_trailing_threshold', full_name='gmtaskmodel.CompositeDrillholes_GMT.low_trailing_threshold', index=11, number=12, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='high_trailing_threshold', full_name='gmtaskmodel.CompositeDrillholes_GMT.high_trailing_threshold', index=12, number=13, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(3), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Weight_Style', full_name='gmtaskmodel.CompositeDrillholes_GMT.Weight_Style', index=13, number=14, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='assayBackground', full_name='gmtaskmodel.CompositeDrillholes_GMT.assayBackground', index=14, number=15, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='densityBackground', full_name='gmtaskmodel.CompositeDrillholes_GMT.densityBackground', index=15, number=16, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CompositeDrillholes_GMT.log', index=16, number=30, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"composite_drillholes.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=10445, serialized_end=11201, ) _DRILLHOLEQUERYMESHGRID_GMT = _descriptor.Descriptor( name='DrillholeQueryMeshGrid_GMT', full_name='gmtaskmodel.DrillholeQueryMeshGrid_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='source_drillhole', full_name='gmtaskmodel.DrillholeQueryMeshGrid_GMT.source_drillhole', index=0, number=1, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='new_drillhole_name', full_name='gmtaskmodel.DrillholeQueryMeshGrid_GMT.new_drillhole_name', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='sample_spacing', full_name='gmtaskmodel.DrillholeQueryMeshGrid_GMT.sample_spacing', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='meshgrid_name', full_name='gmtaskmodel.DrillholeQueryMeshGrid_GMT.meshgrid_name', index=3, number=20, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='meshgrid_fields', full_name='gmtaskmodel.DrillholeQueryMeshGrid_GMT.meshgrid_fields', index=4, number=21, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.DrillholeQueryMeshGrid_GMT.log', index=5, number=99, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=11204, serialized_end=11371, ) _IMPORTSEISMICCOMMON = _descriptor.Descriptor( name='ImportSeismicCommon', full_name='gmtaskmodel.ImportSeismicCommon', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='InGUI', full_name='gmtaskmodel.ImportSeismicCommon.InGUI', index=0, number=1, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='InputDataFile', full_name='gmtaskmodel.ImportSeismicCommon.InputDataFile', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='InputProjectFile', full_name='gmtaskmodel.ImportSeismicCommon.InputProjectFile', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='MaxThinningIter', full_name='gmtaskmodel.ImportSeismicCommon.MaxThinningIter', index=3, number=5, type=5, cpp_type=1, label=1, has_default_value=True, default_value=9999, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='MinThinningDelta', full_name='gmtaskmodel.ImportSeismicCommon.MinThinningDelta', index=4, number=6, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1e-07), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='MaxSectionPoints', full_name='gmtaskmodel.ImportSeismicCommon.MaxSectionPoints', index=5, number=7, type=5, cpp_type=1, label=1, has_default_value=True, default_value=5, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ClipToProject', full_name='gmtaskmodel.ImportSeismicCommon.ClipToProject', index=6, number=8, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DMSConvert', full_name='gmtaskmodel.ImportSeismicCommon.DMSConvert', index=7, number=9, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DMSLatFormat', full_name='gmtaskmodel.ImportSeismicCommon.DMSLatFormat', index=8, number=11, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"ddmmss.ss".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DMSLonFormat', full_name='gmtaskmodel.ImportSeismicCommon.DMSLonFormat', index=9, number=12, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"dddmmss.ss".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='InvertDepth', full_name='gmtaskmodel.ImportSeismicCommon.InvertDepth', index=10, number=13, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='RunParallelCode', full_name='gmtaskmodel.ImportSeismicCommon.RunParallelCode', index=11, number=14, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='OutputProjectFile', full_name='gmtaskmodel.ImportSeismicCommon.OutputProjectFile', index=12, number=19, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ImportSeismicCommon.log', index=13, number=255, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"seismic_report.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=11374, serialized_end=11801, ) _IMPORTSEISMICNAV_GMT = _descriptor.Descriptor( name='ImportSeismicNav_GMT', full_name='gmtaskmodel.ImportSeismicNav_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='SectionSplineDegree', full_name='gmtaskmodel.ImportSeismicNav_GMT.SectionSplineDegree', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ImportSeismic', full_name='gmtaskmodel.ImportSeismicNav_GMT.ImportSeismic', index=1, number=2, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ImportSeismicNav_GMT.log', index=2, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=11803, serialized_end=11928, ) _IMPORTSEISMICHORIZONS_GMT = _descriptor.Descriptor( name='ImportSeismicHorizons_GMT', full_name='gmtaskmodel.ImportSeismicHorizons_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='NavigationFiles', full_name='gmtaskmodel.ImportSeismicHorizons_GMT.NavigationFiles', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='HorizonColumnNames', full_name='gmtaskmodel.ImportSeismicHorizons_GMT.HorizonColumnNames', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='IntersectionRadius', full_name='gmtaskmodel.ImportSeismicHorizons_GMT.IntersectionRadius', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ImportSeismic', full_name='gmtaskmodel.ImportSeismicHorizons_GMT.ImportSeismic', index=3, number=8, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ImportSeismicHorizons_GMT.log', index=4, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=11931, serialized_end=12152, ) _RENDERSECTION_GMT = _descriptor.Descriptor( name='RenderSection_GMT', full_name='gmtaskmodel.RenderSection_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='section', full_name='gmtaskmodel.RenderSection_GMT.section', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='nx', full_name='gmtaskmodel.RenderSection_GMT.nx', index=1, number=2, type=5, cpp_type=1, label=2, has_default_value=True, default_value=50, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ny', full_name='gmtaskmodel.RenderSection_GMT.ny', index=2, number=3, type=5, cpp_type=1, label=2, has_default_value=True, default_value=50, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='fillFormations', full_name='gmtaskmodel.RenderSection_GMT.fillFormations', index=3, number=4, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='lineFormationOrFaults', full_name='gmtaskmodel.RenderSection_GMT.lineFormationOrFaults', index=4, number=5, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='traceSeries', full_name='gmtaskmodel.RenderSection_GMT.traceSeries', index=5, number=6, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='showTraceInSeries', full_name='gmtaskmodel.RenderSection_GMT.showTraceInSeries', index=6, number=7, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='showTraceEverywhere', full_name='gmtaskmodel.RenderSection_GMT.showTraceEverywhere', index=7, number=8, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='showVarianceEnvelope', full_name='gmtaskmodel.RenderSection_GMT.showVarianceEnvelope', index=8, number=9, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ClipToTopography', full_name='gmtaskmodel.RenderSection_GMT.ClipToTopography', index=9, number=10, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='showUncertainty', full_name='gmtaskmodel.RenderSection_GMT.showUncertainty', index=10, number=11, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='showTriangles', full_name='gmtaskmodel.RenderSection_GMT.showTriangles', index=11, number=12, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='et', full_name='gmtaskmodel.RenderSection_GMT.et', index=12, number=13, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(2), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='number_trajectories', full_name='gmtaskmodel.RenderSection_GMT.number_trajectories', index=13, number=14, type=5, cpp_type=1, label=1, has_default_value=True, default_value=5, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.RenderSection_GMT.log', index=14, number=15, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"render_section.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=12155, serialized_end=12579, ) _SAVELITHOLOGYVOXET_GMT = _descriptor.Descriptor( name='SaveLithologyVoxet_GMT', full_name='gmtaskmodel.SaveLithologyVoxet_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='nx', full_name='gmtaskmodel.SaveLithologyVoxet_GMT.nx', index=0, number=1, type=5, cpp_type=1, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ny', full_name='gmtaskmodel.SaveLithologyVoxet_GMT.ny', index=1, number=2, type=5, cpp_type=1, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='nz', full_name='gmtaskmodel.SaveLithologyVoxet_GMT.nz', index=2, number=3, type=5, cpp_type=1, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='LithologyVoxetFileStub', full_name='gmtaskmodel.SaveLithologyVoxet_GMT.LithologyVoxetFileStub', index=3, number=4, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.SaveLithologyVoxet_GMT.log', index=4, number=15, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"save_voxet.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=12581, serialized_end=12702, ) _SAVEPOTENTIALGRADIENTVOXET_GMT = _descriptor.Descriptor( name='SavePotentialGradientVoxet_GMT', full_name='gmtaskmodel.SavePotentialGradientVoxet_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='nx', full_name='gmtaskmodel.SavePotentialGradientVoxet_GMT.nx', index=0, number=1, type=5, cpp_type=1, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ny', full_name='gmtaskmodel.SavePotentialGradientVoxet_GMT.ny', index=1, number=2, type=5, cpp_type=1, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='nz', full_name='gmtaskmodel.SavePotentialGradientVoxet_GMT.nz', index=2, number=3, type=5, cpp_type=1, label=2, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Just_Gradients', full_name='gmtaskmodel.SavePotentialGradientVoxet_GMT.Just_Gradients', index=3, number=5, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='OneVoxet_Lithology', full_name='gmtaskmodel.SavePotentialGradientVoxet_GMT.OneVoxet_Lithology', index=4, number=6, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='VoxetFileStub', full_name='gmtaskmodel.SavePotentialGradientVoxet_GMT.VoxetFileStub', index=5, number=4, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.SavePotentialGradientVoxet_GMT.log', index=6, number=15, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"save_potentialvoxet.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=12705, serialized_end=12899, ) _UPDATEINTERFACE_GMT = _descriptor.Descriptor( name='UpdateInterface_GMT', full_name='gmtaskmodel.UpdateInterface_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='section', full_name='gmtaskmodel.UpdateInterface_GMT.section', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Point', full_name='gmtaskmodel.UpdateInterface_GMT.Point', index=1, number=2, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='observationId', full_name='gmtaskmodel.UpdateInterface_GMT.observationId', index=2, number=3, type=9, cpp_type=9, label=2, has_default_value=True, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='provenance', full_name='gmtaskmodel.UpdateInterface_GMT.provenance', index=3, number=4, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='hasFoliation', full_name='gmtaskmodel.UpdateInterface_GMT.hasFoliation', index=4, number=5, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='hasLocation', full_name='gmtaskmodel.UpdateInterface_GMT.hasLocation', index=5, number=6, type=8, cpp_type=7, label=2, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='orientationMethod', full_name='gmtaskmodel.UpdateInterface_GMT.orientationMethod', index=6, number=7, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='azimuth', full_name='gmtaskmodel.UpdateInterface_GMT.azimuth', index=7, number=8, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dip', full_name='gmtaskmodel.UpdateInterface_GMT.dip', index=8, number=9, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='lineAzimuth', full_name='gmtaskmodel.UpdateInterface_GMT.lineAzimuth', index=9, number=10, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='lineDip', full_name='gmtaskmodel.UpdateInterface_GMT.lineDip', index=10, number=11, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='polarity', full_name='gmtaskmodel.UpdateInterface_GMT.polarity', index=11, number=12, type=9, cpp_type=9, label=2, has_default_value=True, default_value=b"top".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='spherical_variance_kappa', full_name='gmtaskmodel.UpdateInterface_GMT.spherical_variance_kappa', index=12, number=13, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.UpdateInterface_GMT.log', index=13, number=15, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"update_interface.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=12902, serialized_end=13353, ) _DELETEINTERFACESFROMSECTION_GMT = _descriptor.Descriptor( name='DeleteInterfacesFromSection_GMT', full_name='gmtaskmodel.DeleteInterfacesFromSection_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='section', full_name='gmtaskmodel.DeleteInterfacesFromSection_GMT.section', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.DeleteInterfacesFromSection_GMT.log', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"delete_interface.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=13355, serialized_end=13440, ) _FAULTSERIESLINKS_GMT = _descriptor.Descriptor( name='FaultSeriesLinks_GMT', full_name='gmtaskmodel.FaultSeriesLinks_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='fault', full_name='gmtaskmodel.FaultSeriesLinks_GMT.fault', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='series', full_name='gmtaskmodel.FaultSeriesLinks_GMT.series', index=1, number=2, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.FaultSeriesLinks_GMT.log', index=2, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=13442, serialized_end=13509, ) _LINKFAULTSWITHSERIES_GMT = _descriptor.Descriptor( name='LinkFaultsWithSeries_GMT', full_name='gmtaskmodel.LinkFaultsWithSeries_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='FaultSeriesLinks', full_name='gmtaskmodel.LinkFaultsWithSeries_GMT.FaultSeriesLinks', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.LinkFaultsWithSeries_GMT.log', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"link_fault_series.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=13511, serialized_end=13634, ) _FAULTSTOPSONFAULTS_GMT = _descriptor.Descriptor( name='FaultStopsOnFaults_GMT', full_name='gmtaskmodel.FaultStopsOnFaults_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='fault', full_name='gmtaskmodel.FaultStopsOnFaults_GMT.fault', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='stopson', full_name='gmtaskmodel.FaultStopsOnFaults_GMT.stopson', index=1, number=2, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.FaultStopsOnFaults_GMT.log', index=2, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=13636, serialized_end=13706, ) _LINKFAULTSWITHFAULTS_GMT = _descriptor.Descriptor( name='LinkFaultsWithFaults_GMT', full_name='gmtaskmodel.LinkFaultsWithFaults_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='FaultStopsOnFaults', full_name='gmtaskmodel.LinkFaultsWithFaults_GMT.FaultStopsOnFaults', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.LinkFaultsWithFaults_GMT.log', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"link_fault_fault.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=13708, serialized_end=13834, ) _WRITEBATCHFILE_GMT = _descriptor.Descriptor( name='WriteBatchFile_GMT', full_name='gmtaskmodel.WriteBatchFile_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.WriteBatchFile_GMT.filename', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Task_Name', full_name='gmtaskmodel.WriteBatchFile_GMT.Task_Name', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"myProject.task".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='convertSection_InterfacesTo3D', full_name='gmtaskmodel.WriteBatchFile_GMT.convertSection_InterfacesTo3D', index=2, number=5, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='convertSection_FoliationTo3D', full_name='gmtaskmodel.WriteBatchFile_GMT.convertSection_FoliationTo3D', index=3, number=6, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='exportBoreholesToCSV', full_name='gmtaskmodel.WriteBatchFile_GMT.exportBoreholesToCSV', index=4, number=7, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='csv_path', full_name='gmtaskmodel.WriteBatchFile_GMT.csv_path', index=5, number=8, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"EXPORT/".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='exportToGeomodellerTempDirectory', full_name='gmtaskmodel.WriteBatchFile_GMT.exportToGeomodellerTempDirectory', index=6, number=9, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.WriteBatchFile_GMT.log', index=7, number=12, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"writeprotobuf.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=13837, serialized_end=14145, ) _SOURCEMESHGRID_GMT = _descriptor.Descriptor( name='SourceMeshGrid_GMT', full_name='gmtaskmodel.SourceMeshGrid_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='SourceType', full_name='gmtaskmodel.SourceMeshGrid_GMT.SourceType', index=0, number=1, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='File_Name', full_name='gmtaskmodel.SourceMeshGrid_GMT.File_Name', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='MeshGrid_Name', full_name='gmtaskmodel.SourceMeshGrid_GMT.MeshGrid_Name', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='FileType', full_name='gmtaskmodel.SourceMeshGrid_GMT.FileType', index=3, number=4, type=14, cpp_type=8, label=1, has_default_value=True, default_value=36, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Format', full_name='gmtaskmodel.SourceMeshGrid_GMT.Format', index=4, number=13, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Field_Name', full_name='gmtaskmodel.SourceMeshGrid_GMT.Field_Name', index=5, number=5, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='header_records', full_name='gmtaskmodel.SourceMeshGrid_GMT.header_records', index=6, number=6, type=17, cpp_type=1, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.SourceMeshGrid_GMT.log', index=7, number=255, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"source_meshgrid.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='isElevationMeasure', full_name='gmtaskmodel.SourceMeshGrid_GMT.isElevationMeasure', index=8, number=11, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='UBC_Header', full_name='gmtaskmodel.SourceMeshGrid_GMT.UBC_Header', index=9, number=12, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=14148, serialized_end=14503, ) _CREATEMESHGRID_GMT = _descriptor.Descriptor( name='CreateMeshGrid_GMT', full_name='gmtaskmodel.CreateMeshGrid_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='CreateDestinationType', full_name='gmtaskmodel.CreateMeshGrid_GMT.CreateDestinationType', index=0, number=1, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='OutputMeshType', full_name='gmtaskmodel.CreateMeshGrid_GMT.OutputMeshType', index=1, number=20, type=14, cpp_type=8, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='File_Name', full_name='gmtaskmodel.CreateMeshGrid_GMT.File_Name', index=2, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='MeshGrid_Name', full_name='gmtaskmodel.CreateMeshGrid_GMT.MeshGrid_Name', index=3, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='FileType', full_name='gmtaskmodel.CreateMeshGrid_GMT.FileType', index=4, number=4, type=14, cpp_type=8, label=1, has_default_value=True, default_value=36, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Field_Name', full_name='gmtaskmodel.CreateMeshGrid_GMT.Field_Name', index=5, number=5, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Field_Variance', full_name='gmtaskmodel.CreateMeshGrid_GMT.Field_Variance', index=6, number=6, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dx', full_name='gmtaskmodel.CreateMeshGrid_GMT.dx', index=7, number=10, type=17, cpp_type=1, label=1, has_default_value=True, default_value=100, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dy', full_name='gmtaskmodel.CreateMeshGrid_GMT.dy', index=8, number=11, type=17, cpp_type=1, label=1, has_default_value=True, default_value=100, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dz', full_name='gmtaskmodel.CreateMeshGrid_GMT.dz', index=9, number=12, type=17, cpp_type=1, label=1, has_default_value=True, default_value=100, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Extents', full_name='gmtaskmodel.CreateMeshGrid_GMT.Extents', index=10, number=13, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='nx', full_name='gmtaskmodel.CreateMeshGrid_GMT.nx', index=11, number=21, type=17, cpp_type=1, label=1, has_default_value=True, default_value=20, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ny', full_name='gmtaskmodel.CreateMeshGrid_GMT.ny', index=12, number=22, type=17, cpp_type=1, label=1, has_default_value=True, default_value=20, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='nz', full_name='gmtaskmodel.CreateMeshGrid_GMT.nz', index=13, number=23, type=17, cpp_type=1, label=1, has_default_value=True, default_value=20, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddGeologyField', full_name='gmtaskmodel.CreateMeshGrid_GMT.AddGeologyField', index=14, number=8, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ReportFile', full_name='gmtaskmodel.CreateMeshGrid_GMT.ReportFile', index=15, number=16, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"create_meshgrid.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CreateMeshGrid_GMT.log', index=16, number=99, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"create a mesh grid".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=14506, serialized_end=15039, ) _EXPORTMESHGRID_GMT = _descriptor.Descriptor( name='ExportMeshGrid_GMT', full_name='gmtaskmodel.ExportMeshGrid_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='MeshGrid_Source', full_name='gmtaskmodel.ExportMeshGrid_GMT.MeshGrid_Source', index=0, number=1, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='OutputMeshType', full_name='gmtaskmodel.ExportMeshGrid_GMT.OutputMeshType', index=1, number=20, type=14, cpp_type=8, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='OutFileName', full_name='gmtaskmodel.ExportMeshGrid_GMT.OutFileName', index=2, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='OutMeshGridName', full_name='gmtaskmodel.ExportMeshGrid_GMT.OutMeshGridName', index=3, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='OutFileType', full_name='gmtaskmodel.ExportMeshGrid_GMT.OutFileType', index=4, number=4, type=14, cpp_type=8, label=1, has_default_value=True, default_value=36, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='OutDataFormat', full_name='gmtaskmodel.ExportMeshGrid_GMT.OutDataFormat', index=5, number=5, type=14, cpp_type=8, label=1, has_default_value=True, default_value=61, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Field', full_name='gmtaskmodel.ExportMeshGrid_GMT.Field', index=6, number=6, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Extents', full_name='gmtaskmodel.ExportMeshGrid_GMT.Extents', index=7, number=21, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='nx', full_name='gmtaskmodel.ExportMeshGrid_GMT.nx', index=8, number=22, type=5, cpp_type=1, label=1, has_default_value=True, default_value=20, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ny', full_name='gmtaskmodel.ExportMeshGrid_GMT.ny', index=9, number=23, type=5, cpp_type=1, label=1, has_default_value=True, default_value=20, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='nz', full_name='gmtaskmodel.ExportMeshGrid_GMT.nz', index=10, number=24, type=5, cpp_type=1, label=1, has_default_value=True, default_value=20, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dx', full_name='gmtaskmodel.ExportMeshGrid_GMT.dx', index=11, number=25, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(100), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dy', full_name='gmtaskmodel.ExportMeshGrid_GMT.dy', index=12, number=26, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(100), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dz', full_name='gmtaskmodel.ExportMeshGrid_GMT.dz', index=13, number=27, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(100), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddGeologyField', full_name='gmtaskmodel.ExportMeshGrid_GMT.AddGeologyField', index=14, number=8, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ExportMeshGrid_GMT.log', index=15, number=255, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"save_meshgrid.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=15042, serialized_end=15542, ) _VARIOGRAMCURVES_GMT = _descriptor.Descriptor( name='VariogramCurves_GMT', full_name='gmtaskmodel.VariogramCurves_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='lag', full_name='gmtaskmodel.VariogramCurves_GMT.lag', index=0, number=2, type=1, cpp_type=5, label=2, has_default_value=True, default_value=float(100), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='variance1', full_name='gmtaskmodel.VariogramCurves_GMT.variance1', index=1, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='which1', full_name='gmtaskmodel.VariogramCurves_GMT.which1', index=2, number=4, type=14, cpp_type=8, label=1, has_default_value=True, default_value=3, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='variance2', full_name='gmtaskmodel.VariogramCurves_GMT.variance2', index=3, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='which2', full_name='gmtaskmodel.VariogramCurves_GMT.which2', index=4, number=6, type=14, cpp_type=8, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='variance3', full_name='gmtaskmodel.VariogramCurves_GMT.variance3', index=5, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='which3', full_name='gmtaskmodel.VariogramCurves_GMT.which3', index=6, number=8, type=14, cpp_type=8, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='number_points', full_name='gmtaskmodel.VariogramCurves_GMT.number_points', index=7, number=10, type=5, cpp_type=1, label=2, has_default_value=True, default_value=100, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.VariogramCurves_GMT.log', index=8, number=255, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"model_variogram.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=15545, serialized_end=15961, ) _COMPUTEVARIOGRAM_GMT = _descriptor.Descriptor( name='ComputeVariogram_GMT', full_name='gmtaskmodel.ComputeVariogram_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='MeshGrid_Source', full_name='gmtaskmodel.ComputeVariogram_GMT.MeshGrid_Source', index=0, number=1, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Analysis_Type', full_name='gmtaskmodel.ComputeVariogram_GMT.Analysis_Type', index=1, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Domain', full_name='gmtaskmodel.ComputeVariogram_GMT.Domain', index=2, number=4, type=14, cpp_type=8, label=2, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Data_Name', full_name='gmtaskmodel.ComputeVariogram_GMT.Data_Name', index=3, number=5, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Maximum_Distance', full_name='gmtaskmodel.ComputeVariogram_GMT.Maximum_Distance', index=4, number=6, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Variogram_Name', full_name='gmtaskmodel.ComputeVariogram_GMT.Variogram_Name', index=5, number=7, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Extents', full_name='gmtaskmodel.ComputeVariogram_GMT.Extents', index=6, number=8, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='NuggetEffect', full_name='gmtaskmodel.ComputeVariogram_GMT.NuggetEffect', index=7, number=10, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Range', full_name='gmtaskmodel.ComputeVariogram_GMT.Range', index=8, number=11, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Sill', full_name='gmtaskmodel.ComputeVariogram_GMT.Sill', index=9, number=12, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='VariogramModelType', full_name='gmtaskmodel.ComputeVariogram_GMT.VariogramModelType', index=10, number=13, type=14, cpp_type=8, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='lag', full_name='gmtaskmodel.ComputeVariogram_GMT.lag', index=11, number=14, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(100), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Number_Points', full_name='gmtaskmodel.ComputeVariogram_GMT.Number_Points', index=12, number=15, type=17, cpp_type=1, label=1, has_default_value=True, default_value=20, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ReportFile', full_name='gmtaskmodel.ComputeVariogram_GMT.ReportFile', index=13, number=16, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"variogram.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Maximum_Measures', full_name='gmtaskmodel.ComputeVariogram_GMT.Maximum_Measures', index=14, number=17, type=5, cpp_type=1, label=1, has_default_value=True, default_value=10000, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Maximum_Pairs', full_name='gmtaskmodel.ComputeVariogram_GMT.Maximum_Pairs', index=15, number=18, type=5, cpp_type=1, label=1, has_default_value=True, default_value=100000, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Number_CPUs', full_name='gmtaskmodel.ComputeVariogram_GMT.Number_CPUs', index=16, number=19, type=5, cpp_type=1, label=1, has_default_value=True, default_value=3, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ComputeVariogram_GMT.log', index=17, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=15964, serialized_end=16571, ) _VARIOGRAMANALYSISTYPE = _descriptor.Descriptor( name='VariogramAnalysisType', full_name='gmtaskmodel.VariogramAnalysisType', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='azmiuth', full_name='gmtaskmodel.VariogramAnalysisType.azmiuth', index=0, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dip', full_name='gmtaskmodel.VariogramAnalysisType.dip', index=1, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(90), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='plunge', full_name='gmtaskmodel.VariogramAnalysisType.plunge', index=2, number=5, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='name', full_name='gmtaskmodel.VariogramAnalysisType.name', index=3, number=6, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='nameOfSerieOrUnit', full_name='gmtaskmodel.VariogramAnalysisType.nameOfSerieOrUnit', index=4, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='serieConstraint', full_name='gmtaskmodel.VariogramAnalysisType.serieConstraint', index=5, number=8, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='type', full_name='gmtaskmodel.VariogramAnalysisType.type', index=6, number=9, type=14, cpp_type=8, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='unitConstraint', full_name='gmtaskmodel.VariogramAnalysisType.unitConstraint', index=7, number=10, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Number_Sectors', full_name='gmtaskmodel.VariogramAnalysisType.Number_Sectors', index=8, number=19, type=5, cpp_type=1, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.VariogramAnalysisType.log', index=9, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=16574, serialized_end=16846, ) _INTERPOLATENUMERICALREADINGS_GMT = _descriptor.Descriptor( name='InterpolateNumericalReadings_GMT', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='MeshGrid_Source', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.MeshGrid_Source', index=0, number=1, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='method', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.method', index=1, number=2, type=14, cpp_type=8, label=2, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='OutputStyle', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.OutputStyle', index=2, number=3, type=14, cpp_type=8, label=2, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Maximum_Observations', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.Maximum_Observations', index=3, number=5, type=17, cpp_type=1, label=1, has_default_value=True, default_value=50, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Minimum_Observations', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.Minimum_Observations', index=4, number=6, type=17, cpp_type=1, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Maximum_Radius', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.Maximum_Radius', index=5, number=7, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Domain', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.Domain', index=6, number=8, type=14, cpp_type=8, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Data_Name', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.Data_Name', index=7, number=9, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Analysis_Type', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.Analysis_Type', index=8, number=21, type=14, cpp_type=8, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Variogram_Model', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.Variogram_Model', index=9, number=10, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Experimental_Variogram_Name', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.Experimental_Variogram_Name', index=10, number=20, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='VariogramModelType', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.VariogramModelType', index=11, number=30, type=14, cpp_type=8, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Neighbour', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.Neighbour', index=12, number=31, type=14, cpp_type=8, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='NuggetEffect', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.NuggetEffect', index=13, number=32, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Range', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.Range', index=14, number=33, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Sill', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.Sill', index=15, number=34, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='which', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.which', index=16, number=35, type=14, cpp_type=8, label=1, has_default_value=True, default_value=3, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='aratio', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.aratio', index=17, number=15, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dip', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.dip', index=18, number=17, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(90), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='azimuth', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.azimuth', index=19, number=18, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='plunge', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.plunge', index=20, number=19, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Output_Mesh', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.Output_Mesh', index=21, number=50, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ReportFile', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.ReportFile', index=22, number=80, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"interpolate.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.InterpolateNumericalReadings_GMT.log', index=23, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=16849, serialized_end=17803, ) _BUILDTRIPLELINES_GMT_EXPORTTRIPLELINES = _descriptor.Descriptor( name='ExportTripleLines', full_name='gmtaskmodel.BuildTripleLines_GMT.ExportTripleLines', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='output_directory', full_name='gmtaskmodel.BuildTripleLines_GMT.ExportTripleLines.output_directory', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"./".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='format', full_name='gmtaskmodel.BuildTripleLines_GMT.ExportTripleLines.format', index=1, number=2, type=14, cpp_type=8, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.BuildTripleLines_GMT.ExportTripleLines.log', index=2, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ _BUILDTRIPLELINES_GMT_EXPORTTRIPLELINES_TRIPLELINE_EXPORTFORMAT, ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=18207, serialized_end=18480, ) _BUILDTRIPLELINES_GMT_THINBODYBIAS = _descriptor.Descriptor( name='ThinBodyBias', full_name='gmtaskmodel.BuildTripleLines_GMT.ThinBodyBias', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='x', full_name='gmtaskmodel.BuildTripleLines_GMT.ThinBodyBias.x', index=0, number=1, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='y', full_name='gmtaskmodel.BuildTripleLines_GMT.ThinBodyBias.y', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='z', full_name='gmtaskmodel.BuildTripleLines_GMT.ThinBodyBias.z', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=18482, serialized_end=18538, ) _BUILDTRIPLELINES_GMT = _descriptor.Descriptor( name='BuildTripleLines_GMT', full_name='gmtaskmodel.BuildTripleLines_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='precision', full_name='gmtaskmodel.BuildTripleLines_GMT.precision', index=0, number=12, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(20), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='clean_lines', full_name='gmtaskmodel.BuildTripleLines_GMT.clean_lines', index=1, number=20, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='point_spacing', full_name='gmtaskmodel.BuildTripleLines_GMT.point_spacing', index=2, number=24, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(250), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='thin_body_bias', full_name='gmtaskmodel.BuildTripleLines_GMT.thin_body_bias', index=3, number=25, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='export_triple_lines', full_name='gmtaskmodel.BuildTripleLines_GMT.export_triple_lines', index=4, number=27, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='topolimited', full_name='gmtaskmodel.BuildTripleLines_GMT.topolimited', index=5, number=28, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='borderline', full_name='gmtaskmodel.BuildTripleLines_GMT.borderline', index=6, number=29, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='insideline', full_name='gmtaskmodel.BuildTripleLines_GMT.insideline', index=7, number=30, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='divide_model_using_regular_sections', full_name='gmtaskmodel.BuildTripleLines_GMT.divide_model_using_regular_sections', index=8, number=31, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.BuildTripleLines_GMT.log', index=9, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_BUILDTRIPLELINES_GMT_EXPORTTRIPLELINES, _BUILDTRIPLELINES_GMT_THINBODYBIAS, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=17806, serialized_end=18538, ) _IMPORTTRIPLELINES_GMT = _descriptor.Descriptor( name='ImportTripleLines_GMT', full_name='gmtaskmodel.ImportTripleLines_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.ImportTripleLines_GMT.filename', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"triple_lines.txt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ImportTripleLines_GMT.log', index=1, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=18540, serialized_end=18613, ) _BUILDMESHCGAL_GMT_REFINEMESH_OPTENERGYPARMS = _descriptor.Descriptor( name='OptEnergyParms', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.OptEnergyParms', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='time_limit', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.OptEnergyParms.time_limit', index=0, number=1, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='max_iter', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.OptEnergyParms.max_iter', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='convergence', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.OptEnergyParms.convergence', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0.02), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='freeze_bound', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.OptEnergyParms.freeze_bound', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0.01), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='do_freeze', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.OptEnergyParms.do_freeze', index=4, number=5, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.OptEnergyParms.log', index=5, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=19520, serialized_end=19674, ) _BUILDMESHCGAL_GMT_REFINEMESH_OPTVERTEXPARMS = _descriptor.Descriptor( name='OptVertexParms', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.OptVertexParms', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='time_limit', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.OptVertexParms.time_limit', index=0, number=1, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='sliver_bound', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.OptVertexParms.sliver_bound', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(3), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.OptVertexParms.log', index=2, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=19676, serialized_end=19754, ) _BUILDMESHCGAL_GMT_REFINEMESH = _descriptor.Descriptor( name='RefineMesh', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='lloyd', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.lloyd', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='odt', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.odt', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='perturb', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.perturb', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='exude', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.exude', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='manifold_status', full_name='gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.manifold_status', index=4, number=5, type=14, cpp_type=8, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_BUILDMESHCGAL_GMT_REFINEMESH_OPTENERGYPARMS, _BUILDMESHCGAL_GMT_REFINEMESH_OPTVERTEXPARMS, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=19141, serialized_end=19754, ) _BUILDMESHCGAL_GMT_GEOMODELLEROUTPUT = _descriptor.Descriptor( name='GeomodellerOutput', full_name='gmtaskmodel.BuildMeshCGAL_GMT.GeomodellerOutput', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='output_directory', full_name='gmtaskmodel.BuildMeshCGAL_GMT.GeomodellerOutput.output_directory', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='smooth', full_name='gmtaskmodel.BuildMeshCGAL_GMT.GeomodellerOutput.smooth', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='draw_shapes', full_name='gmtaskmodel.BuildMeshCGAL_GMT.GeomodellerOutput.draw_shapes', index=2, number=3, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='formations', full_name='gmtaskmodel.BuildMeshCGAL_GMT.GeomodellerOutput.formations', index=3, number=4, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='faults', full_name='gmtaskmodel.BuildMeshCGAL_GMT.GeomodellerOutput.faults', index=4, number=5, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='surfaces', full_name='gmtaskmodel.BuildMeshCGAL_GMT.GeomodellerOutput.surfaces', index=5, number=6, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='volumes', full_name='gmtaskmodel.BuildMeshCGAL_GMT.GeomodellerOutput.volumes', index=6, number=7, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='tetrahedrons', full_name='gmtaskmodel.BuildMeshCGAL_GMT.GeomodellerOutput.tetrahedrons', index=7, number=8, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.BuildMeshCGAL_GMT.GeomodellerOutput.log', index=8, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=19757, serialized_end=19986, ) _BUILDMESHCGAL_GMT_MESHCRITERIA_FORMATIONDISCRETIZATION = _descriptor.Descriptor( name='FormationDiscretization', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.FormationDiscretization', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='formation', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.FormationDiscretization.formation', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"default".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='precision', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.FormationDiscretization.precision', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='max_facet_radii', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.FormationDiscretization.max_facet_radii', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='max_tet_radii', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.FormationDiscretization.max_tet_radii', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='max_edge_length', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.FormationDiscretization.max_edge_length', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='precision_values', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.FormationDiscretization.precision_values', index=5, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='max_facet_radii_values', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.FormationDiscretization.max_facet_radii_values', index=6, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='max_tet_radii_values', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.FormationDiscretization.max_tet_radii_values', index=7, number=8, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='max_edge_length_values', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.FormationDiscretization.max_edge_length_values', index=8, number=9, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='adaptive_sphere_radius', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.FormationDiscretization.adaptive_sphere_radius', index=9, number=10, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=20462, serialized_end=20843, ) _BUILDMESHCGAL_GMT_MESHCRITERIA = _descriptor.Descriptor( name='MeshCriteria', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='min_facet_angle', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.min_facet_angle', index=0, number=1, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(10), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='min_facet_radii', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.min_facet_radii', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='min_protect_ball_radius', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.min_protect_ball_radius', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='facet_topology', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.facet_topology', index=3, number=9, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='radius_edge_ratio', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.radius_edge_ratio', index=4, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(2.5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='default_discretization', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.default_discretization', index=5, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='formation_discretization', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.formation_discretization', index=6, number=6, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='min_protect_ball_radius_values', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.min_protect_ball_radius_values', index=7, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.log', index=8, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_BUILDMESHCGAL_GMT_MESHCRITERIA_FORMATIONDISCRETIZATION, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=19989, serialized_end=20843, ) _BUILDMESHCGAL_GMT_SEEDPOINTS_MESHSEEDPOINTS = _descriptor.Descriptor( name='MeshSeedPoints', full_name='gmtaskmodel.BuildMeshCGAL_GMT.SeedPoints.MeshSeedPoints', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.BuildMeshCGAL_GMT.SeedPoints.MeshSeedPoints.filename', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='clean_mesh', full_name='gmtaskmodel.BuildMeshCGAL_GMT.SeedPoints.MeshSeedPoints.clean_mesh', index=1, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='decimate_mesh', full_name='gmtaskmodel.BuildMeshCGAL_GMT.SeedPoints.MeshSeedPoints.decimate_mesh', index=2, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=21056, serialized_end=21191, ) _BUILDMESHCGAL_GMT_SEEDPOINTS_RANDOMSEEDPOINTS = _descriptor.Descriptor( name='RandomSeedPoints', full_name='gmtaskmodel.BuildMeshCGAL_GMT.SeedPoints.RandomSeedPoints', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='count', full_name='gmtaskmodel.BuildMeshCGAL_GMT.SeedPoints.RandomSeedPoints.count', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=True, default_value=12, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=21193, serialized_end=21230, ) _BUILDMESHCGAL_GMT_SEEDPOINTS = _descriptor.Descriptor( name='SeedPoints', full_name='gmtaskmodel.BuildMeshCGAL_GMT.SeedPoints', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='use_triple_points', full_name='gmtaskmodel.BuildMeshCGAL_GMT.SeedPoints.use_triple_points', index=0, number=1, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='random_points', full_name='gmtaskmodel.BuildMeshCGAL_GMT.SeedPoints.random_points', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='mesh_points', full_name='gmtaskmodel.BuildMeshCGAL_GMT.SeedPoints.mesh_points', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_BUILDMESHCGAL_GMT_SEEDPOINTS_MESHSEEDPOINTS, _BUILDMESHCGAL_GMT_SEEDPOINTS_RANDOMSEEDPOINTS, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=20846, serialized_end=21230, ) _BUILDMESHCGAL_GMT = _descriptor.Descriptor( name='BuildMeshCGAL_GMT', full_name='gmtaskmodel.BuildMeshCGAL_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='mesh_criteria', full_name='gmtaskmodel.BuildMeshCGAL_GMT.mesh_criteria', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='refine_mesh', full_name='gmtaskmodel.BuildMeshCGAL_GMT.refine_mesh', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='build_triple_lines', full_name='gmtaskmodel.BuildMeshCGAL_GMT.build_triple_lines', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='import_triple_lines', full_name='gmtaskmodel.BuildMeshCGAL_GMT.import_triple_lines', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='multithreaded', full_name='gmtaskmodel.BuildMeshCGAL_GMT.multithreaded', index=4, number=5, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='export_mesh', full_name='gmtaskmodel.BuildMeshCGAL_GMT.export_mesh', index=5, number=6, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='geomodeller_output', full_name='gmtaskmodel.BuildMeshCGAL_GMT.geomodeller_output', index=6, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='initial_points', full_name='gmtaskmodel.BuildMeshCGAL_GMT.initial_points', index=7, number=8, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.BuildMeshCGAL_GMT.log', index=8, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_BUILDMESHCGAL_GMT_REFINEMESH, _BUILDMESHCGAL_GMT_GEOMODELLEROUTPUT, _BUILDMESHCGAL_GMT_MESHCRITERIA, _BUILDMESHCGAL_GMT_SEEDPOINTS, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=18616, serialized_end=21230, ) _EXPORTMODEL_GMT_EXPORTTYPE2D = _descriptor.Descriptor( name='ExportType2D', full_name='gmtaskmodel.ExportModel_GMT.ExportType2D', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='Isopachs', full_name='gmtaskmodel.ExportModel_GMT.ExportType2D.Isopachs', index=0, number=1, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Isohyps', full_name='gmtaskmodel.ExportModel_GMT.ExportType2D.Isohyps', index=1, number=2, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Interfaces', full_name='gmtaskmodel.ExportModel_GMT.ExportType2D.Interfaces', index=2, number=3, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Layercake', full_name='gmtaskmodel.ExportModel_GMT.ExportType2D.Layercake', index=3, number=4, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Marthe', full_name='gmtaskmodel.ExportModel_GMT.ExportType2D.Marthe', index=4, number=5, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Tough', full_name='gmtaskmodel.ExportModel_GMT.ExportType2D.Tough', index=5, number=6, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Cataclinal', full_name='gmtaskmodel.ExportModel_GMT.ExportType2D.Cataclinal', index=6, number=7, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=21600, serialized_end=21788, ) _EXPORTMODEL_GMT_EXPORTTYPE3D = _descriptor.Descriptor( name='ExportType3D', full_name='gmtaskmodel.ExportModel_GMT.ExportType3D', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='DistanceToFaults', full_name='gmtaskmodel.ExportModel_GMT.ExportType3D.DistanceToFaults', index=0, number=12, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Feflow_Layered', full_name='gmtaskmodel.ExportModel_GMT.ExportType3D.Feflow_Layered', index=1, number=1, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Gradients', full_name='gmtaskmodel.ExportModel_GMT.ExportType3D.Gradients', index=2, number=2, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Grdecl', full_name='gmtaskmodel.ExportModel_GMT.ExportType3D.Grdecl', index=3, number=3, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='KrigingVariance', full_name='gmtaskmodel.ExportModel_GMT.ExportType3D.KrigingVariance', index=4, number=4, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='KrigingStandardDeviation', full_name='gmtaskmodel.ExportModel_GMT.ExportType3D.KrigingStandardDeviation', index=5, number=5, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='KrigingScaledError', full_name='gmtaskmodel.ExportModel_GMT.ExportType3D.KrigingScaledError', index=6, number=6, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='MartheVoxels', full_name='gmtaskmodel.ExportModel_GMT.ExportType3D.MartheVoxels', index=7, number=7, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ToughVoxels', full_name='gmtaskmodel.ExportModel_GMT.ExportType3D.ToughVoxels', index=8, number=8, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Voxels', full_name='gmtaskmodel.ExportModel_GMT.ExportType3D.Voxels', index=9, number=9, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='voxelsXYZ', full_name='gmtaskmodel.ExportModel_GMT.ExportType3D.voxelsXYZ', index=10, number=10, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=21791, serialized_end=22132, ) _EXPORTMODEL_GMT = _descriptor.Descriptor( name='ExportModel_GMT', full_name='gmtaskmodel.ExportModel_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='output_directory', full_name='gmtaskmodel.ExportModel_GMT.output_directory', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"export_mesh".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='export3D', full_name='gmtaskmodel.ExportModel_GMT.export3D', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='export2D', full_name='gmtaskmodel.ExportModel_GMT.export2D', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='GridSize', full_name='gmtaskmodel.ExportModel_GMT.GridSize', index=3, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dx', full_name='gmtaskmodel.ExportModel_GMT.dx', index=4, number=10, type=17, cpp_type=1, label=1, has_default_value=True, default_value=100, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dy', full_name='gmtaskmodel.ExportModel_GMT.dy', index=5, number=11, type=17, cpp_type=1, label=1, has_default_value=True, default_value=100, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dz', full_name='gmtaskmodel.ExportModel_GMT.dz', index=6, number=12, type=17, cpp_type=1, label=1, has_default_value=True, default_value=100, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='dxy', full_name='gmtaskmodel.ExportModel_GMT.dxy', index=7, number=13, type=17, cpp_type=1, label=1, has_default_value=True, default_value=100, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='VariableZ_Factor', full_name='gmtaskmodel.ExportModel_GMT.VariableZ_Factor', index=8, number=17, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ReportFile', full_name='gmtaskmodel.ExportModel_GMT.ReportFile', index=9, number=16, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"export_model.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ExportModel_GMT.log', index=10, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_EXPORTMODEL_GMT_EXPORTTYPE2D, _EXPORTMODEL_GMT_EXPORTTYPE3D, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=21233, serialized_end=22132, ) _EXPORT3DSHAPES_GMT = _descriptor.Descriptor( name='Export3DShapes_GMT', full_name='gmtaskmodel.Export3DShapes_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='output_directory', full_name='gmtaskmodel.Export3DShapes_GMT.output_directory', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"export_mesh".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='model_name', full_name='gmtaskmodel.Export3DShapes_GMT.model_name', index=1, number=2, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='file_type', full_name='gmtaskmodel.Export3DShapes_GMT.file_type', index=2, number=3, type=14, cpp_type=8, label=1, has_default_value=True, default_value=8, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='mesh_type', full_name='gmtaskmodel.Export3DShapes_GMT.mesh_type', index=3, number=4, type=14, cpp_type=8, label=1, has_default_value=True, default_value=12, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='filterout_triangles_from_inner_tetrahedrons', full_name='gmtaskmodel.Export3DShapes_GMT.filterout_triangles_from_inner_tetrahedrons', index=4, number=5, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='wantTetrahedra', full_name='gmtaskmodel.Export3DShapes_GMT.wantTetrahedra', index=5, number=6, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='envelop_surfaces_only', full_name='gmtaskmodel.Export3DShapes_GMT.envelop_surfaces_only', index=6, number=7, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Formation_IsoPotentials', full_name='gmtaskmodel.Export3DShapes_GMT.Formation_IsoPotentials', index=7, number=8, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Formation_GradientPotentials', full_name='gmtaskmodel.Export3DShapes_GMT.Formation_GradientPotentials', index=8, number=9, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='property', full_name='gmtaskmodel.Export3DShapes_GMT.property', index=9, number=50, type=14, cpp_type=8, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.Export3DShapes_GMT.log', index=10, number=99, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"export_3d_shapes.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ _EXPORT3DSHAPES_GMT_FILETYPE3D, _EXPORT3DSHAPES_GMT_MESHTYPE, ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=22135, serialized_end=22832, ) _EXPORTPROJECTSITE_GMT = _descriptor.Descriptor( name='ExportProjectSite_GMT', full_name='gmtaskmodel.ExportProjectSite_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='dataType', full_name='gmtaskmodel.ExportProjectSite_GMT.dataType', index=0, number=1, type=14, cpp_type=8, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='myTypeSite', full_name='gmtaskmodel.ExportProjectSite_GMT.myTypeSite', index=1, number=2, type=14, cpp_type=8, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Name', full_name='gmtaskmodel.ExportProjectSite_GMT.Name', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='VRMLFile_Name', full_name='gmtaskmodel.ExportProjectSite_GMT.VRMLFile_Name', index=3, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DoTextureEnhancement', full_name='gmtaskmodel.ExportProjectSite_GMT.DoTextureEnhancement', index=4, number=6, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddLighting', full_name='gmtaskmodel.ExportProjectSite_GMT.AddLighting', index=5, number=7, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='vtp_files', full_name='gmtaskmodel.ExportProjectSite_GMT.vtp_files', index=6, number=10, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='output_pdf3d', full_name='gmtaskmodel.ExportProjectSite_GMT.output_pdf3d', index=7, number=11, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"myProject.pdf".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='output_u3d', full_name='gmtaskmodel.ExportProjectSite_GMT.output_u3d', index=8, number=12, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"myProject.u3d".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='output_png', full_name='gmtaskmodel.ExportProjectSite_GMT.output_png', index=9, number=14, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"myProject.png".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='output_prc', full_name='gmtaskmodel.ExportProjectSite_GMT.output_prc', index=10, number=15, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"myProject.prc".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='MeshGrid_Source', full_name='gmtaskmodel.ExportProjectSite_GMT.MeshGrid_Source', index=11, number=20, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='solution_radius', full_name='gmtaskmodel.ExportProjectSite_GMT.solution_radius', index=12, number=21, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='grid_shrink_factor', full_name='gmtaskmodel.ExportProjectSite_GMT.grid_shrink_factor', index=13, number=22, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0.5), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Inversion_Case', full_name='gmtaskmodel.ExportProjectSite_GMT.Inversion_Case', index=14, number=30, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"Case1".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Inversion_Run', full_name='gmtaskmodel.ExportProjectSite_GMT.Inversion_Run', index=15, number=31, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"Run1".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Inversion_Product', full_name='gmtaskmodel.ExportProjectSite_GMT.Inversion_Product', index=16, number=32, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"final.vo".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Inversion_AEM', full_name='gmtaskmodel.ExportProjectSite_GMT.Inversion_AEM', index=17, number=40, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"EM2DInv".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Line_Number', full_name='gmtaskmodel.ExportProjectSite_GMT.Line_Number', index=18, number=41, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Iteration', full_name='gmtaskmodel.ExportProjectSite_GMT.Iteration', index=19, number=42, type=5, cpp_type=1, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddTicks', full_name='gmtaskmodel.ExportProjectSite_GMT.AddTicks', index=20, number=60, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddSections', full_name='gmtaskmodel.ExportProjectSite_GMT.AddSections', index=21, number=61, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Extents', full_name='gmtaskmodel.ExportProjectSite_GMT.Extents', index=22, number=62, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='VerticalExaggeration', full_name='gmtaskmodel.ExportProjectSite_GMT.VerticalExaggeration', index=23, number=63, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='PageHeightPixels', full_name='gmtaskmodel.ExportProjectSite_GMT.PageHeightPixels', index=24, number=70, type=5, cpp_type=1, label=1, has_default_value=True, default_value=700, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='PageWidthPixels', full_name='gmtaskmodel.ExportProjectSite_GMT.PageWidthPixels', index=25, number=71, type=5, cpp_type=1, label=1, has_default_value=True, default_value=920, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='background_red', full_name='gmtaskmodel.ExportProjectSite_GMT.background_red', index=26, number=72, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(200), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='background_green', full_name='gmtaskmodel.ExportProjectSite_GMT.background_green', index=27, number=73, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(200), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='background_blue', full_name='gmtaskmodel.ExportProjectSite_GMT.background_blue', index=28, number=74, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(200), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='view_name', full_name='gmtaskmodel.ExportProjectSite_GMT.view_name', index=29, number=75, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"DefaultView".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ShowToolBar', full_name='gmtaskmodel.ExportProjectSite_GMT.ShowToolBar', index=30, number=76, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ShowNavigationPanel', full_name='gmtaskmodel.ExportProjectSite_GMT.ShowNavigationPanel', index=31, number=77, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='SetOrthogonalProjection', full_name='gmtaskmodel.ExportProjectSite_GMT.SetOrthogonalProjection', index=32, number=78, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='SetPerspectiveProjection', full_name='gmtaskmodel.ExportProjectSite_GMT.SetPerspectiveProjection', index=33, number=79, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='field_of_view', full_name='gmtaskmodel.ExportProjectSite_GMT.field_of_view', index=34, number=80, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(45), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='coverimagefile', full_name='gmtaskmodel.ExportProjectSite_GMT.coverimagefile', index=35, number=81, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='debug', full_name='gmtaskmodel.ExportProjectSite_GMT.debug', index=36, number=82, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ReportFile', full_name='gmtaskmodel.ExportProjectSite_GMT.ReportFile', index=37, number=90, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"ExportProjectSite.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ExportProjectSite_GMT.log', index=38, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=22835, serialized_end=24094, ) _AXIS_CONTROL_GMT = _descriptor.Descriptor( name='Axis_Control_GMT', full_name='gmtaskmodel.Axis_Control_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='step', full_name='gmtaskmodel.Axis_Control_GMT.step', index=0, number=2, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(-1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Decimal_Number', full_name='gmtaskmodel.Axis_Control_GMT.Decimal_Number', index=1, number=32, type=17, cpp_type=1, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Title', full_name='gmtaskmodel.Axis_Control_GMT.Title', index=2, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ _AXIS_CONTROL_GMT_DIRECTION, ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=24096, serialized_end=24201, ) _PRESENTATION2D_GRAPHICS_GMT = _descriptor.Descriptor( name='Presentation2D_Graphics_GMT', full_name='gmtaskmodel.Presentation2D_Graphics_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='Section_Name', full_name='gmtaskmodel.Presentation2D_Graphics_GMT.Section_Name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DoAllSections', full_name='gmtaskmodel.Presentation2D_Graphics_GMT.DoAllSections', index=1, number=2, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Title_Position', full_name='gmtaskmodel.Presentation2D_Graphics_GMT.Title_Position', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Axis_Graduation', full_name='gmtaskmodel.Presentation2D_Graphics_GMT.Axis_Graduation', index=3, number=4, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Axis_Labels', full_name='gmtaskmodel.Presentation2D_Graphics_GMT.Axis_Labels', index=4, number=5, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Axis_Titles', full_name='gmtaskmodel.Presentation2D_Graphics_GMT.Axis_Titles', index=5, number=6, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Axis_Control', full_name='gmtaskmodel.Presentation2D_Graphics_GMT.Axis_Control', index=6, number=7, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='output_graphics_file_stub', full_name='gmtaskmodel.Presentation2D_Graphics_GMT.output_graphics_file_stub', index=7, number=8, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"section_name.png".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.Presentation2D_Graphics_GMT.log', index=8, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=24204, serialized_end=24544, ) _PRISMFEFLOWTRIANGULATION_GMT = _descriptor.Descriptor( name='PrismFeFLOWTriangulation_GMT', full_name='gmtaskmodel.PrismFeFLOWTriangulation_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='input_fem_mesh_file', full_name='gmtaskmodel.PrismFeFLOWTriangulation_GMT.input_fem_mesh_file', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Number_Layers', full_name='gmtaskmodel.PrismFeFLOWTriangulation_GMT.Number_Layers', index=1, number=2, type=17, cpp_type=1, label=1, has_default_value=True, default_value=20, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='VariableZ_Factor', full_name='gmtaskmodel.PrismFeFLOWTriangulation_GMT.VariableZ_Factor', index=2, number=5, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='output_mesh', full_name='gmtaskmodel.PrismFeFLOWTriangulation_GMT.output_mesh', index=3, number=3, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"mesh_3d.fem".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='output_report_file', full_name='gmtaskmodel.PrismFeFLOWTriangulation_GMT.output_report_file', index=4, number=4, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"prism_fem_mesh_report.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.PrismFeFLOWTriangulation_GMT.log', index=5, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=24547, serialized_end=24765, ) _GENERATEMESHREPORT_GMT = _descriptor.Descriptor( name='GenerateMeshReport_GMT', full_name='gmtaskmodel.GenerateMeshReport_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='output_report_file', full_name='gmtaskmodel.GenerateMeshReport_GMT.output_report_file', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"generate_mesh_report.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='input_mesh_file', full_name='gmtaskmodel.GenerateMeshReport_GMT.input_mesh_file', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='TypeMeshGrid', full_name='gmtaskmodel.GenerateMeshReport_GMT.TypeMeshGrid', index=2, number=13, type=14, cpp_type=8, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='vtk', full_name='gmtaskmodel.GenerateMeshReport_GMT.vtk', index=3, number=3, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='sharp_angle_threshold', full_name='gmtaskmodel.GenerateMeshReport_GMT.sharp_angle_threshold', index=4, number=4, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='facet_angle_threshold', full_name='gmtaskmodel.GenerateMeshReport_GMT.facet_angle_threshold', index=5, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='facet_size_threshold', full_name='gmtaskmodel.GenerateMeshReport_GMT.facet_size_threshold', index=6, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='vtp_dir', full_name='gmtaskmodel.GenerateMeshReport_GMT.vtp_dir', index=7, number=7, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b".".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='write_vtp_files', full_name='gmtaskmodel.GenerateMeshReport_GMT.write_vtp_files', index=8, number=8, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='report_vertices', full_name='gmtaskmodel.GenerateMeshReport_GMT.report_vertices', index=9, number=9, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='report_edges', full_name='gmtaskmodel.GenerateMeshReport_GMT.report_edges', index=10, number=10, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='report_facets', full_name='gmtaskmodel.GenerateMeshReport_GMT.report_facets', index=11, number=11, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='tolerance', full_name='gmtaskmodel.GenerateMeshReport_GMT.tolerance', index=12, number=12, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0.0001), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='output_mesh_report', full_name='gmtaskmodel.GenerateMeshReport_GMT.output_mesh_report', index=13, number=20, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"mesh_quality.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.GenerateMeshReport_GMT.log', index=14, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=24768, serialized_end=25310, ) _MESHUNITFORGEOPHYS_GMT_RANKRADIUSCONTROL = _descriptor.Descriptor( name='RankRadiusControl', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.RankRadiusControl', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='name', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.RankRadiusControl.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='rank', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.RankRadiusControl.rank', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='topo_radius', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.RankRadiusControl.topo_radius', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(1), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='base_radius', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.RankRadiusControl.base_radius', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(100), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=25896, serialized_end=25993, ) _MESHUNITFORGEOPHYS_GMT = _descriptor.Descriptor( name='MeshUnitForGeophys_GMT', full_name='gmtaskmodel.MeshUnitForGeophys_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='input_point_file', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.input_point_file', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='output_mesh_file', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.output_mesh_file', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='rank_radius', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.rank_radius', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='num_samples', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.num_samples', index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=True, default_value=10, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='debug_dir', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.debug_dir', index=4, number=5, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='debug_prefix', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.debug_prefix', index=5, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='thinning_function', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.thinning_function', index=6, number=8, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='sample_method', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.sample_method', index=7, number=9, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='thinning_radii_are_absolute', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.thinning_radii_are_absolute', index=8, number=10, type=8, cpp_type=7, label=1, has_default_value=True, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='unit_name', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.unit_name', index=9, number=11, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='unit_rank', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.unit_rank', index=10, number=12, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='cgalparms', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.cgalparms', index=11, number=13, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.MeshUnitForGeophys_GMT.log', index=12, number=99, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"mesh_unit_for_geophysics_model.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_MESHUNITFORGEOPHYS_GMT_RANKRADIUSCONTROL, ], enum_types=[ _MESHUNITFORGEOPHYS_GMT_THINNINGFUNCTION, _MESHUNITFORGEOPHYS_GMT_SAMPLEMETHOD, ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=25313, serialized_end=26102, ) _GETCOMPUTEDLITHOATXYZ_GMT = _descriptor.Descriptor( name='GetComputedLithoAtXYZ_GMT', full_name='gmtaskmodel.GetComputedLithoAtXYZ_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.GetComputedLithoAtXYZ_GMT.filename', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=True, default_value=b"ModelLitho_Query.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Point', full_name='gmtaskmodel.GetComputedLithoAtXYZ_GMT.Point', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.GetComputedLithoAtXYZ_GMT.log', index=2, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=26104, serialized_end=26229, ) _GETCOMPUTEDGRADIENTATXYZ_GMT = _descriptor.Descriptor( name='GetComputedGradientAtXYZ_GMT', full_name='gmtaskmodel.GetComputedGradientAtXYZ_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='filename', full_name='gmtaskmodel.GetComputedGradientAtXYZ_GMT.filename', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=True, default_value=b"ModelGradients_Query.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Point', full_name='gmtaskmodel.GetComputedGradientAtXYZ_GMT.Point', index=1, number=2, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.GetComputedGradientAtXYZ_GMT.log', index=2, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=26232, serialized_end=26364, ) _COMPUTEEXTERNALDRIFTFIELD_GMT_FORMATION_DISTRIBUTION = _descriptor.Descriptor( name='Formation_Distribution', full_name='gmtaskmodel.ComputeExternalDriftField_GMT.Formation_Distribution', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='formation', full_name='gmtaskmodel.ComputeExternalDriftField_GMT.Formation_Distribution.formation', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Type', full_name='gmtaskmodel.ComputeExternalDriftField_GMT.Formation_Distribution.Type', index=1, number=2, type=14, cpp_type=8, label=1, has_default_value=False, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='p1', full_name='gmtaskmodel.ComputeExternalDriftField_GMT.Formation_Distribution.p1', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='p2', full_name='gmtaskmodel.ComputeExternalDriftField_GMT.Formation_Distribution.p2', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='p3', full_name='gmtaskmodel.ComputeExternalDriftField_GMT.Formation_Distribution.p3', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=26798, serialized_end=26932, ) _COMPUTEEXTERNALDRIFTFIELD_GMT = _descriptor.Descriptor( name='ComputeExternalDriftField_GMT', full_name='gmtaskmodel.ComputeExternalDriftField_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='MeshGrid_Source', full_name='gmtaskmodel.ComputeExternalDriftField_GMT.MeshGrid_Source', index=0, number=1, type=11, cpp_type=10, label=2, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='required_drift_function', full_name='gmtaskmodel.ComputeExternalDriftField_GMT.required_drift_function', index=1, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DepthUnit', full_name='gmtaskmodel.ComputeExternalDriftField_GMT.DepthUnit', index=2, number=4, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Property_Type', full_name='gmtaskmodel.ComputeExternalDriftField_GMT.Property_Type', index=3, number=5, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='TypeMeshGrid', full_name='gmtaskmodel.ComputeExternalDriftField_GMT.TypeMeshGrid', index=4, number=13, type=14, cpp_type=8, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='output_report_file', full_name='gmtaskmodel.ComputeExternalDriftField_GMT.output_report_file', index=5, number=99, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"ComputeExternalDriftField.rpt".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.ComputeExternalDriftField_GMT.log', index=6, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[_COMPUTEEXTERNALDRIFTFIELD_GMT_FORMATION_DISTRIBUTION, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=26367, serialized_end=26932, ) _CREATEAXIALSERIES_GMT = _descriptor.Descriptor( name='CreateAxialSeries_GMT', full_name='gmtaskmodel.CreateAxialSeries_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='AxialSeries', full_name='gmtaskmodel.CreateAxialSeries_GMT.AxialSeries', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='red', full_name='gmtaskmodel.CreateAxialSeries_GMT.red', index=1, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='green', full_name='gmtaskmodel.CreateAxialSeries_GMT.green', index=2, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(125), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='blue', full_name='gmtaskmodel.CreateAxialSeries_GMT.blue', index=3, number=5, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(255), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Mechanism', full_name='gmtaskmodel.CreateAxialSeries_GMT.Mechanism', index=4, number=13, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='style', full_name='gmtaskmodel.CreateAxialSeries_GMT.style', index=5, number=14, type=14, cpp_type=8, label=1, has_default_value=True, default_value=2, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CreateAxialSeries_GMT.log', index=6, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=26935, serialized_end=27163, ) _CREATEAXIALSURFACE_GMT = _descriptor.Descriptor( name='CreateAxialSurface_GMT', full_name='gmtaskmodel.CreateAxialSurface_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='AxialSeries', full_name='gmtaskmodel.CreateAxialSurface_GMT.AxialSeries', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AxialSurface', full_name='gmtaskmodel.CreateAxialSurface_GMT.AxialSurface', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='red', full_name='gmtaskmodel.CreateAxialSurface_GMT.red', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='green', full_name='gmtaskmodel.CreateAxialSurface_GMT.green', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(125), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='blue', full_name='gmtaskmodel.CreateAxialSurface_GMT.blue', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(255), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='PointList', full_name='gmtaskmodel.CreateAxialSurface_GMT.PointList', index=5, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='PointList3D', full_name='gmtaskmodel.CreateAxialSurface_GMT.PointList3D', index=6, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='observationId', full_name='gmtaskmodel.CreateAxialSurface_GMT.observationId', index=7, number=8, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='provenance', full_name='gmtaskmodel.CreateAxialSurface_GMT.provenance', index=8, number=9, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='type', full_name='gmtaskmodel.CreateAxialSurface_GMT.type', index=9, number=10, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='tightness', full_name='gmtaskmodel.CreateAxialSurface_GMT.tightness', index=10, number=12, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CreateAxialSurface_GMT.log', index=11, number=20, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=27166, serialized_end=27576, ) _ADDAXIALTRACELINE_GMT = _descriptor.Descriptor( name='AddAxialTraceLine_GMT', full_name='gmtaskmodel.AddAxialTraceLine_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='AxialSeries', full_name='gmtaskmodel.AddAxialTraceLine_GMT.AxialSeries', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AxialSurface', full_name='gmtaskmodel.AddAxialTraceLine_GMT.AxialSurface', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DefiningSection', full_name='gmtaskmodel.AddAxialTraceLine_GMT.DefiningSection', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='PointList', full_name='gmtaskmodel.AddAxialTraceLine_GMT.PointList', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='PointList3D', full_name='gmtaskmodel.AddAxialTraceLine_GMT.PointList3D', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='observationId', full_name='gmtaskmodel.AddAxialTraceLine_GMT.observationId', index=5, number=6, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='provenance', full_name='gmtaskmodel.AddAxialTraceLine_GMT.provenance', index=6, number=7, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.AddAxialTraceLine_GMT.log', index=7, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=27579, serialized_end=27856, ) _ADDAXIALSURFACEORIENTATION_GMT = _descriptor.Descriptor( name='AddAxialSurfaceOrientation_GMT', full_name='gmtaskmodel.AddAxialSurfaceOrientation_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='AxialSeries', full_name='gmtaskmodel.AddAxialSurfaceOrientation_GMT.AxialSeries', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='observationId', full_name='gmtaskmodel.AddAxialSurfaceOrientation_GMT.observationId', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DefiningSection', full_name='gmtaskmodel.AddAxialSurfaceOrientation_GMT.DefiningSection', index=2, number=4, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Point', full_name='gmtaskmodel.AddAxialSurfaceOrientation_GMT.Point', index=3, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Point3D', full_name='gmtaskmodel.AddAxialSurfaceOrientation_GMT.Point3D', index=4, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='provenance', full_name='gmtaskmodel.AddAxialSurfaceOrientation_GMT.provenance', index=5, number=5, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Dip', full_name='gmtaskmodel.AddAxialSurfaceOrientation_GMT.Dip', index=6, number=8, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DipDirection', full_name='gmtaskmodel.AddAxialSurfaceOrientation_GMT.DipDirection', index=7, number=9, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Pitch', full_name='gmtaskmodel.AddAxialSurfaceOrientation_GMT.Pitch', index=8, number=10, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Polarity', full_name='gmtaskmodel.AddAxialSurfaceOrientation_GMT.Polarity', index=9, number=17, type=14, cpp_type=8, label=1, has_default_value=True, default_value=1, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='foliation', full_name='gmtaskmodel.AddAxialSurfaceOrientation_GMT.foliation', index=10, number=20, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.AddAxialSurfaceOrientation_GMT.log', index=11, number=50, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=27859, serialized_end=28272, ) _ADDHINGELINE_GMT = _descriptor.Descriptor( name='AddHingeLine_GMT', full_name='gmtaskmodel.AddHingeLine_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='AxialSeries', full_name='gmtaskmodel.AddHingeLine_GMT.AxialSeries', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AxialSurface', full_name='gmtaskmodel.AddHingeLine_GMT.AxialSurface', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Formation', full_name='gmtaskmodel.AddHingeLine_GMT.Formation', index=2, number=4, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='PointList', full_name='gmtaskmodel.AddHingeLine_GMT.PointList', index=3, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='PointList3D', full_name='gmtaskmodel.AddHingeLine_GMT.PointList3D', index=4, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='observationId', full_name='gmtaskmodel.AddHingeLine_GMT.observationId', index=5, number=7, type=9, cpp_type=9, label=1, has_default_value=True, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='provenance', full_name='gmtaskmodel.AddHingeLine_GMT.provenance', index=6, number=8, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DistanceAtOrigin', full_name='gmtaskmodel.AddHingeLine_GMT.DistanceAtOrigin', index=7, number=9, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(90), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DistanceAtExtremity', full_name='gmtaskmodel.AddHingeLine_GMT.DistanceAtExtremity', index=8, number=10, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(100), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Constant_Fold_Shape', full_name='gmtaskmodel.AddHingeLine_GMT.Constant_Fold_Shape', index=9, number=11, type=8, cpp_type=7, label=1, has_default_value=True, default_value=True, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ApertureAtOrigin', full_name='gmtaskmodel.AddHingeLine_GMT.ApertureAtOrigin', index=10, number=12, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(30), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ApertureAtExtremity', full_name='gmtaskmodel.AddHingeLine_GMT.ApertureAtExtremity', index=11, number=13, type=1, cpp_type=5, label=1, has_default_value=True, default_value=float(30), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Polarity', full_name='gmtaskmodel.AddHingeLine_GMT.Polarity', index=12, number=14, type=14, cpp_type=8, label=1, has_default_value=True, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.AddHingeLine_GMT.log', index=13, number=50, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=28275, serialized_end=28760, ) _CREATESECTIONFROMAXIALSURFACE_GMT = _descriptor.Descriptor( name='CreateSectionFromAxialSurface_GMT', full_name='gmtaskmodel.CreateSectionFromAxialSurface_GMT', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='AxialSectionName', full_name='gmtaskmodel.CreateSectionFromAxialSurface_GMT.AxialSectionName', index=0, number=1, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AxialSurface', full_name='gmtaskmodel.CreateSectionFromAxialSurface_GMT.AxialSurface', index=1, number=2, type=9, cpp_type=9, label=2, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='GridNodes', full_name='gmtaskmodel.CreateSectionFromAxialSurface_GMT.GridNodes', index=2, number=4, type=5, cpp_type=1, label=1, has_default_value=True, default_value=10, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Extents', full_name='gmtaskmodel.CreateSectionFromAxialSurface_GMT.Extents', index=3, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='InterpotationParameters', full_name='gmtaskmodel.CreateSectionFromAxialSurface_GMT.InterpotationParameters', index=4, number=12, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.CreateSectionFromAxialSurface_GMT.log', index=5, number=7, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=28763, serialized_end=28997, ) _GEOMODELLERTASK = _descriptor.Descriptor( name='GeomodellerTask', full_name='gmtaskmodel.GeomodellerTask', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='CreateProject', full_name='gmtaskmodel.GeomodellerTask.CreateProject', index=0, number=1, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='OpenProjectGUI', full_name='gmtaskmodel.GeomodellerTask.OpenProjectGUI', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='OpenProjectNoGUI', full_name='gmtaskmodel.GeomodellerTask.OpenProjectNoGUI', index=2, number=3, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='SaveProject', full_name='gmtaskmodel.GeomodellerTask.SaveProject', index=3, number=4, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='SaveProjectAs', full_name='gmtaskmodel.GeomodellerTask.SaveProjectAs', index=4, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CustomDTM', full_name='gmtaskmodel.GeomodellerTask.CustomDTM', index=5, number=6, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='HorizontalDTM', full_name='gmtaskmodel.GeomodellerTask.HorizontalDTM', index=6, number=7, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CreateFormation', full_name='gmtaskmodel.GeomodellerTask.CreateFormation', index=7, number=8, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CreateFault', full_name='gmtaskmodel.GeomodellerTask.CreateFault', index=8, number=9, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='SetSeries', full_name='gmtaskmodel.GeomodellerTask.SetSeries', index=9, number=10, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddFormationToSeries', full_name='gmtaskmodel.GeomodellerTask.AddFormationToSeries', index=10, number=11, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddDykeToSeries', full_name='gmtaskmodel.GeomodellerTask.AddDykeToSeries', index=11, number=52, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddPoint3d', full_name='gmtaskmodel.GeomodellerTask.AddPoint3d', index=12, number=12, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='PointList3d', full_name='gmtaskmodel.GeomodellerTask.PointList3d', index=13, number=13, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CreateSection', full_name='gmtaskmodel.GeomodellerTask.CreateSection', index=14, number=14, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddPoint2d', full_name='gmtaskmodel.GeomodellerTask.AddPoint2d', index=15, number=15, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='PointList2d', full_name='gmtaskmodel.GeomodellerTask.PointList2d', index=16, number=16, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddInterfaceToSection', full_name='gmtaskmodel.GeomodellerTask.AddInterfaceToSection', index=17, number=17, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddFoliationToSection', full_name='gmtaskmodel.GeomodellerTask.AddFoliationToSection', index=18, number=18, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Add3DFoliationToFormation', full_name='gmtaskmodel.GeomodellerTask.Add3DFoliationToFormation', index=19, number=19, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Import2dDataToSection', full_name='gmtaskmodel.GeomodellerTask.Import2dDataToSection', index=20, number=20, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DeleteInterfacesFromSection', full_name='gmtaskmodel.GeomodellerTask.DeleteInterfacesFromSection', index=21, number=21, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ReadAndImport2dDataToASection', full_name='gmtaskmodel.GeomodellerTask.ReadAndImport2dDataToASection', index=22, number=30, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='RenderSection', full_name='gmtaskmodel.GeomodellerTask.RenderSection', index=23, number=31, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='UpdateInterface', full_name='gmtaskmodel.GeomodellerTask.UpdateInterface', index=24, number=32, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='LinkFaultsWithSeries', full_name='gmtaskmodel.GeomodellerTask.LinkFaultsWithSeries', index=25, number=33, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='LinkFaultsWithFaults', full_name='gmtaskmodel.GeomodellerTask.LinkFaultsWithFaults', index=26, number=48, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CreateDyke', full_name='gmtaskmodel.GeomodellerTask.CreateDyke', index=27, number=34, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ExportSection', full_name='gmtaskmodel.GeomodellerTask.ExportSection', index=28, number=35, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CentralVerticalPotentialAndRank', full_name='gmtaskmodel.GeomodellerTask.CentralVerticalPotentialAndRank', index=29, number=36, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='GetModelSummary', full_name='gmtaskmodel.GeomodellerTask.GetModelSummary', index=30, number=37, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Set3dFaultLimits', full_name='gmtaskmodel.GeomodellerTask.Set3dFaultLimits', index=31, number=39, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddApparentDipToSection', full_name='gmtaskmodel.GeomodellerTask.AddApparentDipToSection', index=32, number=40, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='fault_centre', full_name='gmtaskmodel.GeomodellerTask.fault_centre', index=33, number=160, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Create3DPoint', full_name='gmtaskmodel.GeomodellerTask.Create3DPoint', index=34, number=43, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Add3DInterfacesToFormation', full_name='gmtaskmodel.GeomodellerTask.Add3DInterfacesToFormation', index=35, number=44, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='GetComputedLithoAtXYZ', full_name='gmtaskmodel.GeomodellerTask.GetComputedLithoAtXYZ', index=36, number=45, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='GetComputedGradientAtXYZ', full_name='gmtaskmodel.GeomodellerTask.GetComputedGradientAtXYZ', index=37, number=46, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ReadAndImport3dData', full_name='gmtaskmodel.GeomodellerTask.ReadAndImport3dData', index=38, number=47, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddDykeStructuralDataToSection', full_name='gmtaskmodel.GeomodellerTask.AddDykeStructuralDataToSection', index=39, number=51, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CreateAxialSeries', full_name='gmtaskmodel.GeomodellerTask.CreateAxialSeries', index=40, number=54, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CreateAxialSurface', full_name='gmtaskmodel.GeomodellerTask.CreateAxialSurface', index=41, number=55, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddAxialTraceLine', full_name='gmtaskmodel.GeomodellerTask.AddAxialTraceLine', index=42, number=56, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddHingeLine', full_name='gmtaskmodel.GeomodellerTask.AddHingeLine', index=43, number=57, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='AddAxialSurfaceOrientation', full_name='gmtaskmodel.GeomodellerTask.AddAxialSurfaceOrientation', index=44, number=58, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CreateSectionFromAxialSurface', full_name='gmtaskmodel.GeomodellerTask.CreateSectionFromAxialSurface', index=45, number=59, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CreateDrillhole', full_name='gmtaskmodel.GeomodellerTask.CreateDrillhole', index=46, number=61, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='LoadDrillholes', full_name='gmtaskmodel.GeomodellerTask.LoadDrillholes', index=47, number=38, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CompositeDrillholes', full_name='gmtaskmodel.GeomodellerTask.CompositeDrillholes', index=48, number=60, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ProbabilityDistributionFunction', full_name='gmtaskmodel.GeomodellerTask.ProbabilityDistributionFunction', index=49, number=70, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='LithologyProperty', full_name='gmtaskmodel.GeomodellerTask.LithologyProperty', index=50, number=71, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='SetModelBounds', full_name='gmtaskmodel.GeomodellerTask.SetModelBounds', index=51, number=98, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='GetModelBounds', full_name='gmtaskmodel.GeomodellerTask.GetModelBounds', index=52, number=99, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='WriteBatchFile', full_name='gmtaskmodel.GeomodellerTask.WriteBatchFile', index=53, number=49, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ComputeModel', full_name='gmtaskmodel.GeomodellerTask.ComputeModel', index=54, number=100, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='RenderModel', full_name='gmtaskmodel.GeomodellerTask.RenderModel', index=55, number=101, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='RenderModelOnSection', full_name='gmtaskmodel.GeomodellerTask.RenderModelOnSection', index=56, number=113, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='SaveLithologyVoxet', full_name='gmtaskmodel.GeomodellerTask.SaveLithologyVoxet', index=57, number=102, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='SavePotentialGradientVoxet', full_name='gmtaskmodel.GeomodellerTask.SavePotentialGradientVoxet', index=58, number=103, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='InterpolateNumericalReadings', full_name='gmtaskmodel.GeomodellerTask.InterpolateNumericalReadings', index=59, number=104, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ImportSeismicNav', full_name='gmtaskmodel.GeomodellerTask.ImportSeismicNav', index=60, number=105, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ImportSeismicHorizons', full_name='gmtaskmodel.GeomodellerTask.ImportSeismicHorizons', index=61, number=106, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ImportMicroSeismicEvents', full_name='gmtaskmodel.GeomodellerTask.ImportMicroSeismicEvents', index=62, number=112, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='LoadMeshGrid', full_name='gmtaskmodel.GeomodellerTask.LoadMeshGrid', index=63, number=107, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ExportMeshGrid', full_name='gmtaskmodel.GeomodellerTask.ExportMeshGrid', index=64, number=108, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CreateMeshGrid', full_name='gmtaskmodel.GeomodellerTask.CreateMeshGrid', index=65, number=109, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='GenerateMeshReport', full_name='gmtaskmodel.GeomodellerTask.GenerateMeshReport', index=66, number=110, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='BuildMeshCGAL', full_name='gmtaskmodel.GeomodellerTask.BuildMeshCGAL', index=67, number=41, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Export3DShapes', full_name='gmtaskmodel.GeomodellerTask.Export3DShapes', index=68, number=42, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ExportModel', full_name='gmtaskmodel.GeomodellerTask.ExportModel', index=69, number=65, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ExportProjectSite', full_name='gmtaskmodel.GeomodellerTask.ExportProjectSite', index=70, number=50, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Presentation2D_Graphics', full_name='gmtaskmodel.GeomodellerTask.Presentation2D_Graphics', index=71, number=62, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='BuildTripleLines', full_name='gmtaskmodel.GeomodellerTask.BuildTripleLines', index=72, number=53, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='PrismFeFLOWTriangulation', full_name='gmtaskmodel.GeomodellerTask.PrismFeFLOWTriangulation', index=73, number=67, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='MeshUnitForGeophys', full_name='gmtaskmodel.GeomodellerTask.MeshUnitForGeophys', index=74, number=111, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ComputeExternalDriftField', full_name='gmtaskmodel.GeomodellerTask.ComputeExternalDriftField', index=75, number=114, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ComputeVariogram', full_name='gmtaskmodel.GeomodellerTask.ComputeVariogram', index=76, number=120, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='ImportTripleLines', full_name='gmtaskmodel.GeomodellerTask.ImportTripleLines', index=77, number=130, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CloseProjectNoGUI', full_name='gmtaskmodel.GeomodellerTask.CloseProjectNoGUI', index=78, number=140, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='DrillholeQueryMeshGrid', full_name='gmtaskmodel.GeomodellerTask.DrillholeQueryMeshGrid', index=79, number=150, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='Export2DData', full_name='gmtaskmodel.GeomodellerTask.Export2DData', index=80, number=151, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='CreateSegYThumbnail', full_name='gmtaskmodel.GeomodellerTask.CreateSegYThumbnail', index=81, number=152, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='log', full_name='gmtaskmodel.GeomodellerTask.log', index=82, number=255, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=29000, serialized_end=34268, ) _FOLIATION_GMT.fields_by_name['Point'].message_type = _ADDPOINT2D_GMT _FOLIATION_GMT.fields_by_name['Point3D'].message_type = _ADDPOINT3D_GMT _FOLIATION_GMT.fields_by_name['DipDistribution'].message_type = commontaskmodel__pb2._ANGLEPROBABILITYDISTRIBUTIONFUNCTION _FOLIATION_GMT.fields_by_name['DirectionDistribution'].message_type = commontaskmodel__pb2._ANGLEPROBABILITYDISTRIBUTIONFUNCTION _FOLIATION_GMT.fields_by_name['Provenance'].enum_type = commontaskmodel__pb2._PROVENANCETYPE _FOLIATION_GMT.fields_by_name['polarity'].enum_type = commontaskmodel__pb2._POLARITYTYPE _APPARENTDIP_GMT.fields_by_name['Point'].message_type = _ADDPOINT2D_GMT _APPARENTDIP_GMT.fields_by_name['DipDistribution'].message_type = commontaskmodel__pb2._ANGLEPROBABILITYDISTRIBUTIONFUNCTION _APPARENTDIP_GMT.fields_by_name['Provenance'].enum_type = commontaskmodel__pb2._PROVENANCETYPE _SETMODELBOUNDS_GMT.fields_by_name['Extents'].message_type = commontaskmodel__pb2._BOUNDINGBOX _GETMODELBOUNDS_GMT.fields_by_name['Extents'].message_type = commontaskmodel__pb2._BOUNDINGBOX _CUSTOMDTM_GMT.fields_by_name['filename'].message_type = commontaskmodel__pb2._GRID_INT _CUSTOMDTM_GMT.fields_by_name['Extents'].message_type = commontaskmodel__pb2._BOUNDINGBOX2D _CUSTOMDTM_GMT.fields_by_name['units'].enum_type = commontaskmodel__pb2._DISTANCE_UNITS _CREATEPROJECT_GMT.fields_by_name['CustomDTM'].message_type = _CUSTOMDTM_GMT _CREATEPROJECT_GMT.fields_by_name['HorizontalDTM'].message_type = _HORIZONTALDTM_GMT _CREATEPROJECT_GMT.fields_by_name['projection'].message_type = commontaskmodel__pb2._COORDINATESYSTEM _CREATEPROJECT_GMT.fields_by_name['units'].enum_type = commontaskmodel__pb2._DISTANCE_UNITS _CREATEPROJECT_GMT.fields_by_name['Zunits'].enum_type = commontaskmodel__pb2._VERTICAL_UNITS _CREATEPROJECT_GMT.fields_by_name['Extents'].message_type = commontaskmodel__pb2._BOUNDINGBOX _CREATEPROJECT_GMT.fields_by_name['CreateFromVoxet'].message_type = _SOURCEMESHGRID_GMT _MODELINTERPOLATIONPARAMETERS_GMT.fields_by_name['Anisotropy'].message_type = _ANISOTROPIC_EFFECT_GMT _MODELINTERPOLATIONPARAMETERS_GMT.fields_by_name['exotic_constraints'].message_type = _EXOTICCONSTRAINT_GMT _COMPUTEMODEL_GMT.fields_by_name['SeriesList'].message_type = commontaskmodel__pb2._REPEATEDSTRING _COMPUTEMODEL_GMT.fields_by_name['SectionList'].message_type = commontaskmodel__pb2._REPEATEDSTRING _COMPUTEMODEL_GMT.fields_by_name['FaultList'].message_type = commontaskmodel__pb2._REPEATEDSTRING _COMPUTEMODEL_GMT.fields_by_name['BoreholeList'].message_type = commontaskmodel__pb2._REPEATEDSTRING _COMPUTEMODEL_GMT.fields_by_name['Extents'].message_type = commontaskmodel__pb2._BOUNDINGBOX _COMPUTEMODEL_GMT.fields_by_name['SeriesInterpolationParameters'].message_type = _MODELINTERPOLATIONPARAMETERS_GMT _COMPUTEMODEL_GMT.fields_by_name['FaultInterpolationParameters'].message_type = _MODELINTERPOLATIONPARAMETERS_GMT _RENDERMODEL_GMT.fields_by_name['Extents'].message_type = commontaskmodel__pb2._BOUNDINGBOX _RENDERMODELONSECTION_GMT.fields_by_name['Format'].enum_type = commontaskmodel__pb2._IMAGE_FORMAT _RENDERMODELONSECTION_GMT.fields_by_name['Style'].enum_type = _SECTIONRENDERSTYLE _FAULTCENTRE_GMT.fields_by_name['type'].enum_type = _FAULTCENTRETYPE _FAULTCENTRE_GMT.fields_by_name['location'].message_type = _ADDPOINT3D_GMT _CREATEFORMATION_GMT.fields_by_name['LithologyProperty'].message_type = commontaskmodel__pb2._LITHOLOGYPROPERTY_GMT _CREATEDYKE_GMT.fields_by_name['LithologyProperty'].message_type = commontaskmodel__pb2._LITHOLOGYPROPERTY_GMT _EXPORT2DDATA_GMT.fields_by_name['format'].enum_type = _FORMATS2D _EXPORT2DDATA_GMT.fields_by_name['type'].enum_type = commontaskmodel__pb2._SECTIONDATATYPE _SETSERIES_GMT.fields_by_name['erelation'].enum_type = commontaskmodel__pb2._STRATIGRAPHICRELATIONSHIP _POINTLIST3D_GMT.fields_by_name['Point'].message_type = _ADDPOINT3D_GMT _POINTLIST2D_GMT.fields_by_name['Point'].message_type = _ADDPOINT2D_GMT _CREATESECTION_GMT.fields_by_name['PointList'].message_type = _POINTLIST3D_GMT _CREATESECTION_GMT.fields_by_name['Extents'].message_type = commontaskmodel__pb2._BOUNDINGBOX _ADDINTERFACETOSECTION_GMT.fields_by_name['PointList'].message_type = _POINTLIST2D_GMT _ADDINTERFACETOSECTION_GMT.fields_by_name['OrientationMethod'].enum_type = _ASSOCIATED_ORIENTATIONMETHOD _ADDINTERFACETOSECTION_GMT.fields_by_name['polarity'].enum_type = commontaskmodel__pb2._POLARITYTYPE _ADDINTERFACETOSECTION_GMT.fields_by_name['provenance'].enum_type = commontaskmodel__pb2._PROVENANCETYPE _ADDFOLIATIONTOSECTION_GMT.fields_by_name['foliation'].message_type = _FOLIATION_GMT _ADD3DFOLIATIONTOFORMATION_GMT.fields_by_name['foliation'].message_type = _FOLIATION_GMT _ADD3DINTERFACESTOFORMATION_GMT.fields_by_name['point'].message_type = commontaskmodel__pb2._POINT3D _ADDAPPARENTDIPTOSECTION_GMT.fields_by_name['apparentdip'].message_type = _APPARENTDIP_GMT _ADDDYKESTRUCTURALDATATOSECTION_GMT.fields_by_name['Point'].message_type = _ADDPOINT2D_GMT _ADDDYKESTRUCTURALDATATOSECTION_GMT.fields_by_name['DipDistribution'].message_type = commontaskmodel__pb2._ANGLEPROBABILITYDISTRIBUTIONFUNCTION _ADDDYKESTRUCTURALDATATOSECTION_GMT.fields_by_name['DirectionDistribution'].message_type = commontaskmodel__pb2._ANGLEPROBABILITYDISTRIBUTIONFUNCTION _ADDDYKESTRUCTURALDATATOSECTION_GMT.fields_by_name['Provenance'].enum_type = commontaskmodel__pb2._PROVENANCETYPE _ADDDYKESTRUCTURALDATATOSECTION_GMT.fields_by_name['polarity'].enum_type = commontaskmodel__pb2._POLARITYTYPE _ADDDYKESTRUCTURALDATATOSECTION_GMT.fields_by_name['OrientationMethod'].enum_type = _ASSOCIATED_ORIENTATIONMETHOD _CREATE3DPOINT_GMT.fields_by_name['point'].message_type = commontaskmodel__pb2._POINT3D _READANDIMPORT2DDATATOASECTION_GMT.fields_by_name['type'].enum_type = commontaskmodel__pb2._SECTIONDATATYPE _READANDIMPORT2DDATATOASECTION_GMT.fields_by_name['FieldList'].message_type = commontaskmodel__pb2._REPEATEDSTRING _READANDIMPORT3DDATA_GMT.fields_by_name['type'].enum_type = commontaskmodel__pb2._GEOLOGYOBSTYPE3D _READANDIMPORT3DDATA_GMT.fields_by_name['operation'].enum_type = _IMPORTACTION _CREATEDRILLHOLE_GMT.fields_by_name['Collar'].message_type = _ADDPOINT3D_GMT _CREATEDRILLHOLE_GMT.fields_by_name['SurveyDirection'].message_type = _SURVEYDIRECTION_GMT _CREATEDRILLHOLE_GMT.fields_by_name['LithologyInterval'].message_type = _LITHOLOGYINTERVAL_GMT _LOADDRILLHOLES_GMT.fields_by_name['collarAliases'].message_type = commontaskmodel__pb2._REPEATEDSTRING _LOADDRILLHOLES_GMT.fields_by_name['surveyAliases'].message_type = commontaskmodel__pb2._REPEATEDSTRING _LOADDRILLHOLES_GMT.fields_by_name['geologyAliases'].message_type = commontaskmodel__pb2._REPEATEDSTRING _COMPOSITEDRILLHOLES_GMT.fields_by_name['Build_Style'].enum_type = _COMPOSITESTYLE _COMPOSITEDRILLHOLES_GMT.fields_by_name['internal_null_replacement'].enum_type = _COMPOSITEREPLACEMENTSTYLE _COMPOSITEDRILLHOLES_GMT.fields_by_name['external_null_replacement'].enum_type = _COMPOSITEREPLACEMENTSTYLE _COMPOSITEDRILLHOLES_GMT.fields_by_name['Weight_Style'].enum_type = _COMPOSITEWEIGHTINGSTYLE _IMPORTSEISMICNAV_GMT.fields_by_name['ImportSeismic'].message_type = _IMPORTSEISMICCOMMON _IMPORTSEISMICHORIZONS_GMT.fields_by_name['NavigationFiles'].message_type = commontaskmodel__pb2._REPEATEDSTRING _IMPORTSEISMICHORIZONS_GMT.fields_by_name['HorizonColumnNames'].message_type = commontaskmodel__pb2._REPEATEDSTRING _IMPORTSEISMICHORIZONS_GMT.fields_by_name['ImportSeismic'].message_type = _IMPORTSEISMICCOMMON _UPDATEINTERFACE_GMT.fields_by_name['Point'].message_type = _ADDPOINT2D_GMT _UPDATEINTERFACE_GMT.fields_by_name['provenance'].enum_type = commontaskmodel__pb2._PROVENANCETYPE _UPDATEINTERFACE_GMT.fields_by_name['orientationMethod'].enum_type = commontaskmodel__pb2._ORIENTATIONMETHODTYPE _LINKFAULTSWITHSERIES_GMT.fields_by_name['FaultSeriesLinks'].message_type = _FAULTSERIESLINKS_GMT _LINKFAULTSWITHFAULTS_GMT.fields_by_name['FaultStopsOnFaults'].message_type = _FAULTSTOPSONFAULTS_GMT _SOURCEMESHGRID_GMT.fields_by_name['SourceType'].enum_type = _GEOMODELLERDATASOURCE _SOURCEMESHGRID_GMT.fields_by_name['FileType'].enum_type = commontaskmodel__pb2._DFAFILETYPE _SOURCEMESHGRID_GMT.fields_by_name['Format'].enum_type = commontaskmodel__pb2._DATAFORMAT _CREATEMESHGRID_GMT.fields_by_name['CreateDestinationType'].enum_type = _GEOMODELLERDATASOURCE _CREATEMESHGRID_GMT.fields_by_name['OutputMeshType'].enum_type = commontaskmodel__pb2._OUTPUTMESHTYPE _CREATEMESHGRID_GMT.fields_by_name['FileType'].enum_type = commontaskmodel__pb2._DFAFILETYPE _CREATEMESHGRID_GMT.fields_by_name['Extents'].message_type = commontaskmodel__pb2._BOUNDINGBOX _EXPORTMESHGRID_GMT.fields_by_name['MeshGrid_Source'].message_type = _SOURCEMESHGRID_GMT _EXPORTMESHGRID_GMT.fields_by_name['OutputMeshType'].enum_type = commontaskmodel__pb2._OUTPUTMESHTYPE _EXPORTMESHGRID_GMT.fields_by_name['OutFileType'].enum_type = commontaskmodel__pb2._DFAFILETYPE _EXPORTMESHGRID_GMT.fields_by_name['OutDataFormat'].enum_type = commontaskmodel__pb2._DATAFORMAT _EXPORTMESHGRID_GMT.fields_by_name['Extents'].message_type = commontaskmodel__pb2._BOUNDINGBOX _VARIOGRAMCURVES_GMT.fields_by_name['variance1'].message_type = commontaskmodel__pb2._REPEATEDDOUBLE _VARIOGRAMCURVES_GMT.fields_by_name['which1'].enum_type = _KRIGING_WHICHVARIOGRAM _VARIOGRAMCURVES_GMT.fields_by_name['variance2'].message_type = commontaskmodel__pb2._REPEATEDDOUBLE _VARIOGRAMCURVES_GMT.fields_by_name['which2'].enum_type = _KRIGING_WHICHVARIOGRAM _VARIOGRAMCURVES_GMT.fields_by_name['variance3'].message_type = commontaskmodel__pb2._REPEATEDDOUBLE _VARIOGRAMCURVES_GMT.fields_by_name['which3'].enum_type = _KRIGING_WHICHVARIOGRAM _COMPUTEVARIOGRAM_GMT.fields_by_name['MeshGrid_Source'].message_type = _SOURCEMESHGRID_GMT _COMPUTEVARIOGRAM_GMT.fields_by_name['Analysis_Type'].message_type = _VARIOGRAMANALYSISTYPE _COMPUTEVARIOGRAM_GMT.fields_by_name['Domain'].enum_type = _KRIGINGDOMAIN _COMPUTEVARIOGRAM_GMT.fields_by_name['Extents'].message_type = commontaskmodel__pb2._BOUNDINGBOX _COMPUTEVARIOGRAM_GMT.fields_by_name['VariogramModelType'].enum_type = commontaskmodel__pb2._VARIOGRAMMODELTYPE _VARIOGRAMANALYSISTYPE.fields_by_name['type'].enum_type = _TYPEOFANALYSIS _INTERPOLATENUMERICALREADINGS_GMT.fields_by_name['MeshGrid_Source'].message_type = _SOURCEMESHGRID_GMT _INTERPOLATENUMERICALREADINGS_GMT.fields_by_name['method'].enum_type = commontaskmodel__pb2._INTERPOLATIONMETHOD _INTERPOLATENUMERICALREADINGS_GMT.fields_by_name['OutputStyle'].enum_type = commontaskmodel__pb2._INTERPOLATIONOUTPUTTYPE _INTERPOLATENUMERICALREADINGS_GMT.fields_by_name['Domain'].enum_type = _KRIGINGDOMAIN _INTERPOLATENUMERICALREADINGS_GMT.fields_by_name['Analysis_Type'].enum_type = _TYPEOFANALYSIS _INTERPOLATENUMERICALREADINGS_GMT.fields_by_name['Variogram_Model'].message_type = _VARIOGRAMCURVES_GMT _INTERPOLATENUMERICALREADINGS_GMT.fields_by_name['VariogramModelType'].enum_type = commontaskmodel__pb2._VARIOGRAMMODELTYPE _INTERPOLATENUMERICALREADINGS_GMT.fields_by_name['Neighbour'].enum_type = commontaskmodel__pb2._NEIGHBOURSTYLE _INTERPOLATENUMERICALREADINGS_GMT.fields_by_name['which'].enum_type = _KRIGING_WHICHVARIOGRAM _INTERPOLATENUMERICALREADINGS_GMT.fields_by_name['Output_Mesh'].message_type = _CREATEMESHGRID_GMT _BUILDTRIPLELINES_GMT_EXPORTTRIPLELINES.fields_by_name['format'].enum_type = _BUILDTRIPLELINES_GMT_EXPORTTRIPLELINES_TRIPLELINE_EXPORTFORMAT _BUILDTRIPLELINES_GMT_EXPORTTRIPLELINES.containing_type = _BUILDTRIPLELINES_GMT _BUILDTRIPLELINES_GMT_EXPORTTRIPLELINES_TRIPLELINE_EXPORTFORMAT.containing_type = _BUILDTRIPLELINES_GMT_EXPORTTRIPLELINES _BUILDTRIPLELINES_GMT_THINBODYBIAS.containing_type = _BUILDTRIPLELINES_GMT _BUILDTRIPLELINES_GMT.fields_by_name['thin_body_bias'].message_type = _BUILDTRIPLELINES_GMT_THINBODYBIAS _BUILDTRIPLELINES_GMT.fields_by_name['export_triple_lines'].message_type = _BUILDTRIPLELINES_GMT_EXPORTTRIPLELINES _BUILDMESHCGAL_GMT_REFINEMESH_OPTENERGYPARMS.containing_type = _BUILDMESHCGAL_GMT_REFINEMESH _BUILDMESHCGAL_GMT_REFINEMESH_OPTVERTEXPARMS.containing_type = _BUILDMESHCGAL_GMT_REFINEMESH _BUILDMESHCGAL_GMT_REFINEMESH.fields_by_name['lloyd'].message_type = _BUILDMESHCGAL_GMT_REFINEMESH_OPTENERGYPARMS _BUILDMESHCGAL_GMT_REFINEMESH.fields_by_name['odt'].message_type = _BUILDMESHCGAL_GMT_REFINEMESH_OPTENERGYPARMS _BUILDMESHCGAL_GMT_REFINEMESH.fields_by_name['perturb'].message_type = _BUILDMESHCGAL_GMT_REFINEMESH_OPTVERTEXPARMS _BUILDMESHCGAL_GMT_REFINEMESH.fields_by_name['exude'].message_type = _BUILDMESHCGAL_GMT_REFINEMESH_OPTVERTEXPARMS _BUILDMESHCGAL_GMT_REFINEMESH.fields_by_name['manifold_status'].enum_type = _OPTMANIFOLDREQUEST _BUILDMESHCGAL_GMT_REFINEMESH.containing_type = _BUILDMESHCGAL_GMT _BUILDMESHCGAL_GMT_GEOMODELLEROUTPUT.containing_type = _BUILDMESHCGAL_GMT _BUILDMESHCGAL_GMT_MESHCRITERIA_FORMATIONDISCRETIZATION.fields_by_name['precision_values'].message_type = commontaskmodel__pb2._REPEATEDDOUBLE _BUILDMESHCGAL_GMT_MESHCRITERIA_FORMATIONDISCRETIZATION.fields_by_name['max_facet_radii_values'].message_type = commontaskmodel__pb2._REPEATEDDOUBLE _BUILDMESHCGAL_GMT_MESHCRITERIA_FORMATIONDISCRETIZATION.fields_by_name['max_tet_radii_values'].message_type = commontaskmodel__pb2._REPEATEDDOUBLE _BUILDMESHCGAL_GMT_MESHCRITERIA_FORMATIONDISCRETIZATION.fields_by_name['max_edge_length_values'].message_type = commontaskmodel__pb2._REPEATEDDOUBLE _BUILDMESHCGAL_GMT_MESHCRITERIA_FORMATIONDISCRETIZATION.containing_type = _BUILDMESHCGAL_GMT_MESHCRITERIA _BUILDMESHCGAL_GMT_MESHCRITERIA.fields_by_name['facet_topology'].enum_type = _MESH_FACET_TOPOLOGY _BUILDMESHCGAL_GMT_MESHCRITERIA.fields_by_name['default_discretization'].message_type = _BUILDMESHCGAL_GMT_MESHCRITERIA_FORMATIONDISCRETIZATION _BUILDMESHCGAL_GMT_MESHCRITERIA.fields_by_name['formation_discretization'].message_type = _BUILDMESHCGAL_GMT_MESHCRITERIA_FORMATIONDISCRETIZATION _BUILDMESHCGAL_GMT_MESHCRITERIA.fields_by_name['min_protect_ball_radius_values'].message_type = commontaskmodel__pb2._REPEATEDDOUBLE _BUILDMESHCGAL_GMT_MESHCRITERIA.containing_type = _BUILDMESHCGAL_GMT _BUILDMESHCGAL_GMT_SEEDPOINTS_MESHSEEDPOINTS.fields_by_name['clean_mesh'].message_type = vtktasksup__pb2._CLEANPOLYDATA _BUILDMESHCGAL_GMT_SEEDPOINTS_MESHSEEDPOINTS.fields_by_name['decimate_mesh'].message_type = vtktasksup__pb2._QUADRICDECIMATION _BUILDMESHCGAL_GMT_SEEDPOINTS_MESHSEEDPOINTS.containing_type = _BUILDMESHCGAL_GMT_SEEDPOINTS _BUILDMESHCGAL_GMT_SEEDPOINTS_RANDOMSEEDPOINTS.containing_type = _BUILDMESHCGAL_GMT_SEEDPOINTS _BUILDMESHCGAL_GMT_SEEDPOINTS.fields_by_name['random_points'].message_type = _BUILDMESHCGAL_GMT_SEEDPOINTS_RANDOMSEEDPOINTS _BUILDMESHCGAL_GMT_SEEDPOINTS.fields_by_name['mesh_points'].message_type = _BUILDMESHCGAL_GMT_SEEDPOINTS_MESHSEEDPOINTS _BUILDMESHCGAL_GMT_SEEDPOINTS.containing_type = _BUILDMESHCGAL_GMT _BUILDMESHCGAL_GMT.fields_by_name['mesh_criteria'].message_type = _BUILDMESHCGAL_GMT_MESHCRITERIA _BUILDMESHCGAL_GMT.fields_by_name['refine_mesh'].message_type = _BUILDMESHCGAL_GMT_REFINEMESH _BUILDMESHCGAL_GMT.fields_by_name['build_triple_lines'].message_type = _BUILDTRIPLELINES_GMT _BUILDMESHCGAL_GMT.fields_by_name['import_triple_lines'].message_type = _IMPORTTRIPLELINES_GMT _BUILDMESHCGAL_GMT.fields_by_name['export_mesh'].message_type = _EXPORT3DSHAPES_GMT _BUILDMESHCGAL_GMT.fields_by_name['geomodeller_output'].message_type = _BUILDMESHCGAL_GMT_GEOMODELLEROUTPUT _BUILDMESHCGAL_GMT.fields_by_name['initial_points'].message_type = _BUILDMESHCGAL_GMT_SEEDPOINTS _EXPORTMODEL_GMT_EXPORTTYPE2D.containing_type = _EXPORTMODEL_GMT _EXPORTMODEL_GMT_EXPORTTYPE3D.containing_type = _EXPORTMODEL_GMT _EXPORTMODEL_GMT.fields_by_name['export3D'].message_type = _EXPORTMODEL_GMT_EXPORTTYPE3D _EXPORTMODEL_GMT.fields_by_name['export2D'].message_type = _EXPORTMODEL_GMT_EXPORTTYPE2D _EXPORTMODEL_GMT.fields_by_name['GridSize'].message_type = commontaskmodel__pb2._BOUNDINGBOX _EXPORT3DSHAPES_GMT.fields_by_name['file_type'].enum_type = _EXPORT3DSHAPES_GMT_FILETYPE3D _EXPORT3DSHAPES_GMT.fields_by_name['mesh_type'].enum_type = _EXPORT3DSHAPES_GMT_MESHTYPE _EXPORT3DSHAPES_GMT.fields_by_name['property'].enum_type = commontaskmodel__pb2._PROPERTYTYPE _EXPORT3DSHAPES_GMT_FILETYPE3D.containing_type = _EXPORT3DSHAPES_GMT _EXPORT3DSHAPES_GMT_MESHTYPE.containing_type = _EXPORT3DSHAPES_GMT _EXPORTPROJECTSITE_GMT.fields_by_name['dataType'].enum_type = _GEOMODELLERDATATYPE _EXPORTPROJECTSITE_GMT.fields_by_name['myTypeSite'].enum_type = _SITETYPE3D _EXPORTPROJECTSITE_GMT.fields_by_name['MeshGrid_Source'].message_type = _SOURCEMESHGRID_GMT _EXPORTPROJECTSITE_GMT.fields_by_name['Extents'].message_type = commontaskmodel__pb2._BOUNDINGBOX _AXIS_CONTROL_GMT_DIRECTION.containing_type = _AXIS_CONTROL_GMT _PRESENTATION2D_GRAPHICS_GMT.fields_by_name['Title_Position'].message_type = _ADDPOINT2D_GMT _PRESENTATION2D_GRAPHICS_GMT.fields_by_name['Axis_Control'].message_type = _AXIS_CONTROL_GMT _GENERATEMESHREPORT_GMT.fields_by_name['TypeMeshGrid'].enum_type = commontaskmodel__pb2._MESHGRID_TYPEMESHGRID _GENERATEMESHREPORT_GMT.fields_by_name['facet_angle_threshold'].message_type = commontaskmodel__pb2._PAIRDOUBLE _GENERATEMESHREPORT_GMT.fields_by_name['facet_size_threshold'].message_type = commontaskmodel__pb2._PAIRDOUBLE _MESHUNITFORGEOPHYS_GMT_RANKRADIUSCONTROL.containing_type = _MESHUNITFORGEOPHYS_GMT _MESHUNITFORGEOPHYS_GMT.fields_by_name['rank_radius'].message_type = _MESHUNITFORGEOPHYS_GMT_RANKRADIUSCONTROL _MESHUNITFORGEOPHYS_GMT.fields_by_name['thinning_function'].enum_type = _MESHUNITFORGEOPHYS_GMT_THINNINGFUNCTION _MESHUNITFORGEOPHYS_GMT.fields_by_name['sample_method'].enum_type = _MESHUNITFORGEOPHYS_GMT_SAMPLEMETHOD _MESHUNITFORGEOPHYS_GMT.fields_by_name['cgalparms'].message_type = _BUILDMESHCGAL_GMT _MESHUNITFORGEOPHYS_GMT_THINNINGFUNCTION.containing_type = _MESHUNITFORGEOPHYS_GMT _MESHUNITFORGEOPHYS_GMT_SAMPLEMETHOD.containing_type = _MESHUNITFORGEOPHYS_GMT _GETCOMPUTEDLITHOATXYZ_GMT.fields_by_name['Point'].message_type = _ADDPOINT3D_GMT _GETCOMPUTEDGRADIENTATXYZ_GMT.fields_by_name['Point'].message_type = _ADDPOINT3D_GMT _COMPUTEEXTERNALDRIFTFIELD_GMT_FORMATION_DISTRIBUTION.fields_by_name['Type'].enum_type = _DISTRIBUTION_TYPE _COMPUTEEXTERNALDRIFTFIELD_GMT_FORMATION_DISTRIBUTION.containing_type = _COMPUTEEXTERNALDRIFTFIELD_GMT _COMPUTEEXTERNALDRIFTFIELD_GMT.fields_by_name['MeshGrid_Source'].message_type = _SOURCEMESHGRID_GMT _COMPUTEEXTERNALDRIFTFIELD_GMT.fields_by_name['required_drift_function'].message_type = _COMPUTEEXTERNALDRIFTFIELD_GMT_FORMATION_DISTRIBUTION _COMPUTEEXTERNALDRIFTFIELD_GMT.fields_by_name['DepthUnit'].enum_type = commontaskmodel__pb2._DISTANCE_UNITS _COMPUTEEXTERNALDRIFTFIELD_GMT.fields_by_name['Property_Type'].enum_type = commontaskmodel__pb2._PROPERTYTYPE _COMPUTEEXTERNALDRIFTFIELD_GMT.fields_by_name['TypeMeshGrid'].enum_type = commontaskmodel__pb2._MESHGRID_TYPEMESHGRID _CREATEAXIALSERIES_GMT.fields_by_name['Mechanism'].enum_type = _FOLDMECHANISM _CREATEAXIALSERIES_GMT.fields_by_name['style'].enum_type = _DEFORMATIONSTYLE _CREATEAXIALSURFACE_GMT.fields_by_name['PointList'].message_type = _POINTLIST2D_GMT _CREATEAXIALSURFACE_GMT.fields_by_name['PointList3D'].message_type = _POINTLIST3D_GMT _CREATEAXIALSURFACE_GMT.fields_by_name['provenance'].enum_type = commontaskmodel__pb2._PROVENANCETYPE _CREATEAXIALSURFACE_GMT.fields_by_name['type'].enum_type = _FOLDTYPE _CREATEAXIALSURFACE_GMT.fields_by_name['tightness'].enum_type = _FOLDTIGHTNESS _ADDAXIALTRACELINE_GMT.fields_by_name['PointList'].message_type = _POINTLIST2D_GMT _ADDAXIALTRACELINE_GMT.fields_by_name['PointList3D'].message_type = _POINTLIST3D_GMT _ADDAXIALTRACELINE_GMT.fields_by_name['provenance'].enum_type = commontaskmodel__pb2._PROVENANCETYPE _ADDAXIALSURFACEORIENTATION_GMT.fields_by_name['Point'].message_type = _ADDPOINT2D_GMT _ADDAXIALSURFACEORIENTATION_GMT.fields_by_name['Point3D'].message_type = _ADDPOINT3D_GMT _ADDAXIALSURFACEORIENTATION_GMT.fields_by_name['provenance'].enum_type = commontaskmodel__pb2._PROVENANCETYPE _ADDAXIALSURFACEORIENTATION_GMT.fields_by_name['Polarity'].enum_type = commontaskmodel__pb2._POLARITYTYPE _ADDAXIALSURFACEORIENTATION_GMT.fields_by_name['foliation'].message_type = _FOLIATION_GMT _ADDHINGELINE_GMT.fields_by_name['PointList'].message_type = _POINTLIST2D_GMT _ADDHINGELINE_GMT.fields_by_name['PointList3D'].message_type = _POINTLIST3D_GMT _ADDHINGELINE_GMT.fields_by_name['provenance'].enum_type = commontaskmodel__pb2._PROVENANCETYPE _ADDHINGELINE_GMT.fields_by_name['Polarity'].enum_type = _HINGEPOLARITY _CREATESECTIONFROMAXIALSURFACE_GMT.fields_by_name['Extents'].message_type = commontaskmodel__pb2._BOUNDINGBOX _CREATESECTIONFROMAXIALSURFACE_GMT.fields_by_name['InterpotationParameters'].message_type = _MODELINTERPOLATIONPARAMETERS_GMT _GEOMODELLERTASK.fields_by_name['CreateProject'].message_type = _CREATEPROJECT_GMT _GEOMODELLERTASK.fields_by_name['OpenProjectGUI'].message_type = _OPENPROJECTGUI_GMT _GEOMODELLERTASK.fields_by_name['OpenProjectNoGUI'].message_type = _OPENPROJECTNOGUI_GMT _GEOMODELLERTASK.fields_by_name['SaveProject'].message_type = _SAVEPROJECT_GMT _GEOMODELLERTASK.fields_by_name['SaveProjectAs'].message_type = _SAVEPROJECTAS_GMT _GEOMODELLERTASK.fields_by_name['CustomDTM'].message_type = _CUSTOMDTM_GMT _GEOMODELLERTASK.fields_by_name['HorizontalDTM'].message_type = _HORIZONTALDTM_GMT _GEOMODELLERTASK.fields_by_name['CreateFormation'].message_type = _CREATEFORMATION_GMT _GEOMODELLERTASK.fields_by_name['CreateFault'].message_type = _CREATEFAULT_GMT _GEOMODELLERTASK.fields_by_name['SetSeries'].message_type = _SETSERIES_GMT _GEOMODELLERTASK.fields_by_name['AddFormationToSeries'].message_type = _ADDFORMATIONTOSERIES_GMT _GEOMODELLERTASK.fields_by_name['AddDykeToSeries'].message_type = _ADDDYKETOSERIES_GMT _GEOMODELLERTASK.fields_by_name['AddPoint3d'].message_type = _ADDPOINT3D_GMT _GEOMODELLERTASK.fields_by_name['PointList3d'].message_type = _POINTLIST3D_GMT _GEOMODELLERTASK.fields_by_name['CreateSection'].message_type = _CREATESECTION_GMT _GEOMODELLERTASK.fields_by_name['AddPoint2d'].message_type = _ADDPOINT2D_GMT _GEOMODELLERTASK.fields_by_name['PointList2d'].message_type = _POINTLIST2D_GMT _GEOMODELLERTASK.fields_by_name['AddInterfaceToSection'].message_type = _ADDINTERFACETOSECTION_GMT _GEOMODELLERTASK.fields_by_name['AddFoliationToSection'].message_type = _ADDFOLIATIONTOSECTION_GMT _GEOMODELLERTASK.fields_by_name['Add3DFoliationToFormation'].message_type = _ADD3DFOLIATIONTOFORMATION_GMT _GEOMODELLERTASK.fields_by_name['Import2dDataToSection'].message_type = _IMPORT2DDATATOSECTION_GMT _GEOMODELLERTASK.fields_by_name['DeleteInterfacesFromSection'].message_type = _DELETEINTERFACESFROMSECTION_GMT _GEOMODELLERTASK.fields_by_name['ReadAndImport2dDataToASection'].message_type = _READANDIMPORT2DDATATOASECTION_GMT _GEOMODELLERTASK.fields_by_name['RenderSection'].message_type = _RENDERSECTION_GMT _GEOMODELLERTASK.fields_by_name['UpdateInterface'].message_type = _UPDATEINTERFACE_GMT _GEOMODELLERTASK.fields_by_name['LinkFaultsWithSeries'].message_type = _LINKFAULTSWITHSERIES_GMT _GEOMODELLERTASK.fields_by_name['LinkFaultsWithFaults'].message_type = _LINKFAULTSWITHFAULTS_GMT _GEOMODELLERTASK.fields_by_name['CreateDyke'].message_type = _CREATEDYKE_GMT _GEOMODELLERTASK.fields_by_name['ExportSection'].message_type = _EXPORTSECTION_GMT _GEOMODELLERTASK.fields_by_name['CentralVerticalPotentialAndRank'].message_type = _CENTRALVERTICALPOTENTIALANDRANK_GMT _GEOMODELLERTASK.fields_by_name['GetModelSummary'].message_type = _GETMODELSUMMARY_GMT _GEOMODELLERTASK.fields_by_name['Set3dFaultLimits'].message_type = _SET3DFAULTLIMITS_GMT _GEOMODELLERTASK.fields_by_name['AddApparentDipToSection'].message_type = _ADDAPPARENTDIPTOSECTION_GMT _GEOMODELLERTASK.fields_by_name['fault_centre'].message_type = _FAULTCENTRE_GMT _GEOMODELLERTASK.fields_by_name['Create3DPoint'].message_type = _CREATE3DPOINT_GMT _GEOMODELLERTASK.fields_by_name['Add3DInterfacesToFormation'].message_type = _ADD3DINTERFACESTOFORMATION_GMT _GEOMODELLERTASK.fields_by_name['GetComputedLithoAtXYZ'].message_type = _GETCOMPUTEDLITHOATXYZ_GMT _GEOMODELLERTASK.fields_by_name['GetComputedGradientAtXYZ'].message_type = _GETCOMPUTEDGRADIENTATXYZ_GMT _GEOMODELLERTASK.fields_by_name['ReadAndImport3dData'].message_type = _READANDIMPORT3DDATA_GMT _GEOMODELLERTASK.fields_by_name['AddDykeStructuralDataToSection'].message_type = _ADDDYKESTRUCTURALDATATOSECTION_GMT _GEOMODELLERTASK.fields_by_name['CreateAxialSeries'].message_type = _CREATEAXIALSERIES_GMT _GEOMODELLERTASK.fields_by_name['CreateAxialSurface'].message_type = _CREATEAXIALSURFACE_GMT _GEOMODELLERTASK.fields_by_name['AddAxialTraceLine'].message_type = _ADDAXIALTRACELINE_GMT _GEOMODELLERTASK.fields_by_name['AddHingeLine'].message_type = _ADDHINGELINE_GMT _GEOMODELLERTASK.fields_by_name['AddAxialSurfaceOrientation'].message_type = _ADDAXIALSURFACEORIENTATION_GMT _GEOMODELLERTASK.fields_by_name['CreateSectionFromAxialSurface'].message_type = _CREATESECTIONFROMAXIALSURFACE_GMT _GEOMODELLERTASK.fields_by_name['CreateDrillhole'].message_type = _CREATEDRILLHOLE_GMT _GEOMODELLERTASK.fields_by_name['LoadDrillholes'].message_type = _LOADDRILLHOLES_GMT _GEOMODELLERTASK.fields_by_name['CompositeDrillholes'].message_type = _COMPOSITEDRILLHOLES_GMT _GEOMODELLERTASK.fields_by_name['ProbabilityDistributionFunction'].message_type = commontaskmodel__pb2._PROBABILITYDISTRIBUTIONFUNCTION_GMT _GEOMODELLERTASK.fields_by_name['LithologyProperty'].message_type = commontaskmodel__pb2._LITHOLOGYPROPERTY_GMT _GEOMODELLERTASK.fields_by_name['SetModelBounds'].message_type = _SETMODELBOUNDS_GMT _GEOMODELLERTASK.fields_by_name['GetModelBounds'].message_type = _GETMODELBOUNDS_GMT _GEOMODELLERTASK.fields_by_name['WriteBatchFile'].message_type = _WRITEBATCHFILE_GMT _GEOMODELLERTASK.fields_by_name['ComputeModel'].message_type = _COMPUTEMODEL_GMT _GEOMODELLERTASK.fields_by_name['RenderModel'].message_type = _RENDERMODEL_GMT _GEOMODELLERTASK.fields_by_name['RenderModelOnSection'].message_type = _RENDERMODELONSECTION_GMT _GEOMODELLERTASK.fields_by_name['SaveLithologyVoxet'].message_type = _SAVELITHOLOGYVOXET_GMT _GEOMODELLERTASK.fields_by_name['SavePotentialGradientVoxet'].message_type = _SAVEPOTENTIALGRADIENTVOXET_GMT _GEOMODELLERTASK.fields_by_name['InterpolateNumericalReadings'].message_type = _INTERPOLATENUMERICALREADINGS_GMT _GEOMODELLERTASK.fields_by_name['ImportSeismicNav'].message_type = _IMPORTSEISMICNAV_GMT _GEOMODELLERTASK.fields_by_name['ImportSeismicHorizons'].message_type = _IMPORTSEISMICHORIZONS_GMT _GEOMODELLERTASK.fields_by_name['ImportMicroSeismicEvents'].message_type = _IMPORTMICROSEISMICEVENTS_GMT _GEOMODELLERTASK.fields_by_name['LoadMeshGrid'].message_type = _SOURCEMESHGRID_GMT _GEOMODELLERTASK.fields_by_name['ExportMeshGrid'].message_type = _EXPORTMESHGRID_GMT _GEOMODELLERTASK.fields_by_name['CreateMeshGrid'].message_type = _CREATEMESHGRID_GMT _GEOMODELLERTASK.fields_by_name['GenerateMeshReport'].message_type = _GENERATEMESHREPORT_GMT _GEOMODELLERTASK.fields_by_name['BuildMeshCGAL'].message_type = _BUILDMESHCGAL_GMT _GEOMODELLERTASK.fields_by_name['Export3DShapes'].message_type = _EXPORT3DSHAPES_GMT _GEOMODELLERTASK.fields_by_name['ExportModel'].message_type = _EXPORTMODEL_GMT _GEOMODELLERTASK.fields_by_name['ExportProjectSite'].message_type = _EXPORTPROJECTSITE_GMT _GEOMODELLERTASK.fields_by_name['Presentation2D_Graphics'].message_type = _PRESENTATION2D_GRAPHICS_GMT _GEOMODELLERTASK.fields_by_name['BuildTripleLines'].message_type = _BUILDTRIPLELINES_GMT _GEOMODELLERTASK.fields_by_name['PrismFeFLOWTriangulation'].message_type = _PRISMFEFLOWTRIANGULATION_GMT _GEOMODELLERTASK.fields_by_name['MeshUnitForGeophys'].message_type = _MESHUNITFORGEOPHYS_GMT _GEOMODELLERTASK.fields_by_name['ComputeExternalDriftField'].message_type = _COMPUTEEXTERNALDRIFTFIELD_GMT _GEOMODELLERTASK.fields_by_name['ComputeVariogram'].message_type = _COMPUTEVARIOGRAM_GMT _GEOMODELLERTASK.fields_by_name['ImportTripleLines'].message_type = _IMPORTTRIPLELINES_GMT _GEOMODELLERTASK.fields_by_name['CloseProjectNoGUI'].message_type = _CLOSEPROJECTNOGUI_GMT _GEOMODELLERTASK.fields_by_name['DrillholeQueryMeshGrid'].message_type = _DRILLHOLEQUERYMESHGRID_GMT _GEOMODELLERTASK.fields_by_name['Export2DData'].message_type = _EXPORT2DDATA_GMT _GEOMODELLERTASK.fields_by_name['CreateSegYThumbnail'].message_type = _CREATESEGYTHUMBNAIL_GMT DESCRIPTOR.message_types_by_name['Foliation_GMT'] = _FOLIATION_GMT DESCRIPTOR.message_types_by_name['ApparentDip_GMT'] = _APPARENTDIP_GMT DESCRIPTOR.message_types_by_name['SetModelBounds_GMT'] = _SETMODELBOUNDS_GMT DESCRIPTOR.message_types_by_name['GetModelBounds_GMT'] = _GETMODELBOUNDS_GMT DESCRIPTOR.message_types_by_name['OpenProjectGUI_GMT'] = _OPENPROJECTGUI_GMT DESCRIPTOR.message_types_by_name['OpenProjectNoGUI_GMT'] = _OPENPROJECTNOGUI_GMT DESCRIPTOR.message_types_by_name['CloseProjectNoGUI_GMT'] = _CLOSEPROJECTNOGUI_GMT DESCRIPTOR.message_types_by_name['SaveProject_GMT'] = _SAVEPROJECT_GMT DESCRIPTOR.message_types_by_name['SaveProjectAs_GMT'] = _SAVEPROJECTAS_GMT DESCRIPTOR.message_types_by_name['CustomDTM_GMT'] = _CUSTOMDTM_GMT DESCRIPTOR.message_types_by_name['HorizontalDTM_GMT'] = _HORIZONTALDTM_GMT DESCRIPTOR.message_types_by_name['CreateProject_GMT'] = _CREATEPROJECT_GMT DESCRIPTOR.message_types_by_name['ModelInterpolationParameters_GMT'] = _MODELINTERPOLATIONPARAMETERS_GMT DESCRIPTOR.message_types_by_name['Anisotropic_Effect_GMT'] = _ANISOTROPIC_EFFECT_GMT DESCRIPTOR.message_types_by_name['ExoticConstraint_GMT'] = _EXOTICCONSTRAINT_GMT DESCRIPTOR.message_types_by_name['ComputeModel_GMT'] = _COMPUTEMODEL_GMT DESCRIPTOR.message_types_by_name['RenderModel_GMT'] = _RENDERMODEL_GMT DESCRIPTOR.message_types_by_name['RenderModelOnSection_GMT'] = _RENDERMODELONSECTION_GMT DESCRIPTOR.message_types_by_name['CreateFault_GMT'] = _CREATEFAULT_GMT DESCRIPTOR.message_types_by_name['Set3dFaultLimits_GMT'] = _SET3DFAULTLIMITS_GMT DESCRIPTOR.message_types_by_name['FaultCentre_GMT'] = _FAULTCENTRE_GMT DESCRIPTOR.message_types_by_name['CreateFormation_GMT'] = _CREATEFORMATION_GMT DESCRIPTOR.message_types_by_name['CreateDyke_GMT'] = _CREATEDYKE_GMT DESCRIPTOR.message_types_by_name['ExportSection_GMT'] = _EXPORTSECTION_GMT DESCRIPTOR.message_types_by_name['Export2DData_GMT'] = _EXPORT2DDATA_GMT DESCRIPTOR.message_types_by_name['CentralVerticalPotentialAndRank_GMT'] = _CENTRALVERTICALPOTENTIALANDRANK_GMT DESCRIPTOR.message_types_by_name['GetModelSummary_GMT'] = _GETMODELSUMMARY_GMT DESCRIPTOR.message_types_by_name['SetSeries_GMT'] = _SETSERIES_GMT DESCRIPTOR.message_types_by_name['AddFormationToSeries_GMT'] = _ADDFORMATIONTOSERIES_GMT DESCRIPTOR.message_types_by_name['AddDykeToSeries_GMT'] = _ADDDYKETOSERIES_GMT DESCRIPTOR.message_types_by_name['AddPoint3d_GMT'] = _ADDPOINT3D_GMT DESCRIPTOR.message_types_by_name['PointList3d_GMT'] = _POINTLIST3D_GMT DESCRIPTOR.message_types_by_name['AddPoint2d_GMT'] = _ADDPOINT2D_GMT DESCRIPTOR.message_types_by_name['PointList2d_GMT'] = _POINTLIST2D_GMT DESCRIPTOR.message_types_by_name['CreateSection_GMT'] = _CREATESECTION_GMT DESCRIPTOR.message_types_by_name['CreateSegYThumbnail_GMT'] = _CREATESEGYTHUMBNAIL_GMT DESCRIPTOR.message_types_by_name['AddInterfaceToSection_GMT'] = _ADDINTERFACETOSECTION_GMT DESCRIPTOR.message_types_by_name['AddFoliationToSection_GMT'] = _ADDFOLIATIONTOSECTION_GMT DESCRIPTOR.message_types_by_name['Add3DFoliationToFormation_GMT'] = _ADD3DFOLIATIONTOFORMATION_GMT DESCRIPTOR.message_types_by_name['Add3DInterfacesToFormation_GMT'] = _ADD3DINTERFACESTOFORMATION_GMT DESCRIPTOR.message_types_by_name['AddApparentDipToSection_GMT'] = _ADDAPPARENTDIPTOSECTION_GMT DESCRIPTOR.message_types_by_name['AddDykeStructuralDataToSection_GMT'] = _ADDDYKESTRUCTURALDATATOSECTION_GMT DESCRIPTOR.message_types_by_name['Create3DPoint_GMT'] = _CREATE3DPOINT_GMT DESCRIPTOR.message_types_by_name['Import2dDataToSection_GMT'] = _IMPORT2DDATATOSECTION_GMT DESCRIPTOR.message_types_by_name['ReadAndImport2dDataToASection_GMT'] = _READANDIMPORT2DDATATOASECTION_GMT DESCRIPTOR.message_types_by_name['ReadAndImport3dData_GMT'] = _READANDIMPORT3DDATA_GMT DESCRIPTOR.message_types_by_name['ImportMicroSeismicEvents_GMT'] = _IMPORTMICROSEISMICEVENTS_GMT DESCRIPTOR.message_types_by_name['SurveyDirection_GMT'] = _SURVEYDIRECTION_GMT DESCRIPTOR.message_types_by_name['LithologyInterval_GMT'] = _LITHOLOGYINTERVAL_GMT DESCRIPTOR.message_types_by_name['CreateDrillhole_GMT'] = _CREATEDRILLHOLE_GMT DESCRIPTOR.message_types_by_name['LoadDrillholes_GMT'] = _LOADDRILLHOLES_GMT DESCRIPTOR.message_types_by_name['CompositeDrillholes_GMT'] = _COMPOSITEDRILLHOLES_GMT DESCRIPTOR.message_types_by_name['DrillholeQueryMeshGrid_GMT'] = _DRILLHOLEQUERYMESHGRID_GMT DESCRIPTOR.message_types_by_name['ImportSeismicCommon'] = _IMPORTSEISMICCOMMON DESCRIPTOR.message_types_by_name['ImportSeismicNav_GMT'] = _IMPORTSEISMICNAV_GMT DESCRIPTOR.message_types_by_name['ImportSeismicHorizons_GMT'] = _IMPORTSEISMICHORIZONS_GMT DESCRIPTOR.message_types_by_name['RenderSection_GMT'] = _RENDERSECTION_GMT DESCRIPTOR.message_types_by_name['SaveLithologyVoxet_GMT'] = _SAVELITHOLOGYVOXET_GMT DESCRIPTOR.message_types_by_name['SavePotentialGradientVoxet_GMT'] = _SAVEPOTENTIALGRADIENTVOXET_GMT DESCRIPTOR.message_types_by_name['UpdateInterface_GMT'] = _UPDATEINTERFACE_GMT DESCRIPTOR.message_types_by_name['DeleteInterfacesFromSection_GMT'] = _DELETEINTERFACESFROMSECTION_GMT DESCRIPTOR.message_types_by_name['FaultSeriesLinks_GMT'] = _FAULTSERIESLINKS_GMT DESCRIPTOR.message_types_by_name['LinkFaultsWithSeries_GMT'] = _LINKFAULTSWITHSERIES_GMT DESCRIPTOR.message_types_by_name['FaultStopsOnFaults_GMT'] = _FAULTSTOPSONFAULTS_GMT DESCRIPTOR.message_types_by_name['LinkFaultsWithFaults_GMT'] = _LINKFAULTSWITHFAULTS_GMT DESCRIPTOR.message_types_by_name['WriteBatchFile_GMT'] = _WRITEBATCHFILE_GMT DESCRIPTOR.message_types_by_name['SourceMeshGrid_GMT'] = _SOURCEMESHGRID_GMT DESCRIPTOR.message_types_by_name['CreateMeshGrid_GMT'] = _CREATEMESHGRID_GMT DESCRIPTOR.message_types_by_name['ExportMeshGrid_GMT'] = _EXPORTMESHGRID_GMT DESCRIPTOR.message_types_by_name['VariogramCurves_GMT'] = _VARIOGRAMCURVES_GMT DESCRIPTOR.message_types_by_name['ComputeVariogram_GMT'] = _COMPUTEVARIOGRAM_GMT DESCRIPTOR.message_types_by_name['VariogramAnalysisType'] = _VARIOGRAMANALYSISTYPE DESCRIPTOR.message_types_by_name['InterpolateNumericalReadings_GMT'] = _INTERPOLATENUMERICALREADINGS_GMT DESCRIPTOR.message_types_by_name['BuildTripleLines_GMT'] = _BUILDTRIPLELINES_GMT DESCRIPTOR.message_types_by_name['ImportTripleLines_GMT'] = _IMPORTTRIPLELINES_GMT DESCRIPTOR.message_types_by_name['BuildMeshCGAL_GMT'] = _BUILDMESHCGAL_GMT DESCRIPTOR.message_types_by_name['ExportModel_GMT'] = _EXPORTMODEL_GMT DESCRIPTOR.message_types_by_name['Export3DShapes_GMT'] = _EXPORT3DSHAPES_GMT DESCRIPTOR.message_types_by_name['ExportProjectSite_GMT'] = _EXPORTPROJECTSITE_GMT DESCRIPTOR.message_types_by_name['Axis_Control_GMT'] = _AXIS_CONTROL_GMT DESCRIPTOR.message_types_by_name['Presentation2D_Graphics_GMT'] = _PRESENTATION2D_GRAPHICS_GMT DESCRIPTOR.message_types_by_name['PrismFeFLOWTriangulation_GMT'] = _PRISMFEFLOWTRIANGULATION_GMT DESCRIPTOR.message_types_by_name['GenerateMeshReport_GMT'] = _GENERATEMESHREPORT_GMT DESCRIPTOR.message_types_by_name['MeshUnitForGeophys_GMT'] = _MESHUNITFORGEOPHYS_GMT DESCRIPTOR.message_types_by_name['GetComputedLithoAtXYZ_GMT'] = _GETCOMPUTEDLITHOATXYZ_GMT DESCRIPTOR.message_types_by_name['GetComputedGradientAtXYZ_GMT'] = _GETCOMPUTEDGRADIENTATXYZ_GMT DESCRIPTOR.message_types_by_name['ComputeExternalDriftField_GMT'] = _COMPUTEEXTERNALDRIFTFIELD_GMT DESCRIPTOR.message_types_by_name['CreateAxialSeries_GMT'] = _CREATEAXIALSERIES_GMT DESCRIPTOR.message_types_by_name['CreateAxialSurface_GMT'] = _CREATEAXIALSURFACE_GMT DESCRIPTOR.message_types_by_name['AddAxialTraceLine_GMT'] = _ADDAXIALTRACELINE_GMT DESCRIPTOR.message_types_by_name['AddAxialSurfaceOrientation_GMT'] = _ADDAXIALSURFACEORIENTATION_GMT DESCRIPTOR.message_types_by_name['AddHingeLine_GMT'] = _ADDHINGELINE_GMT DESCRIPTOR.message_types_by_name['CreateSectionFromAxialSurface_GMT'] = _CREATESECTIONFROMAXIALSURFACE_GMT DESCRIPTOR.message_types_by_name['GeomodellerTask'] = _GEOMODELLERTASK DESCRIPTOR.enum_types_by_name['GeomodellerDataSource'] = _GEOMODELLERDATASOURCE DESCRIPTOR.enum_types_by_name['SectionRenderStyle'] = _SECTIONRENDERSTYLE DESCRIPTOR.enum_types_by_name['FaultCentreType'] = _FAULTCENTRETYPE DESCRIPTOR.enum_types_by_name['Formats2D'] = _FORMATS2D DESCRIPTOR.enum_types_by_name['Associated_OrientationMethod'] = _ASSOCIATED_ORIENTATIONMETHOD DESCRIPTOR.enum_types_by_name['ImportAction'] = _IMPORTACTION DESCRIPTOR.enum_types_by_name['CompositeStyle'] = _COMPOSITESTYLE DESCRIPTOR.enum_types_by_name['CompositeReplacementStyle'] = _COMPOSITEREPLACEMENTSTYLE DESCRIPTOR.enum_types_by_name['CompositeWeightingStyle'] = _COMPOSITEWEIGHTINGSTYLE DESCRIPTOR.enum_types_by_name['TypeOfAnalysis'] = _TYPEOFANALYSIS DESCRIPTOR.enum_types_by_name['KrigingDomain'] = _KRIGINGDOMAIN DESCRIPTOR.enum_types_by_name['Kriging_WhichVariogram'] = _KRIGING_WHICHVARIOGRAM DESCRIPTOR.enum_types_by_name['Mesh_facet_topology'] = _MESH_FACET_TOPOLOGY DESCRIPTOR.enum_types_by_name['OptManifoldRequest'] = _OPTMANIFOLDREQUEST DESCRIPTOR.enum_types_by_name['SiteType3D'] = _SITETYPE3D DESCRIPTOR.enum_types_by_name['GeomodellerDataType'] = _GEOMODELLERDATATYPE DESCRIPTOR.enum_types_by_name['Distribution_Type'] = _DISTRIBUTION_TYPE DESCRIPTOR.enum_types_by_name['FoldType'] = _FOLDTYPE DESCRIPTOR.enum_types_by_name['FoldMechanism'] = _FOLDMECHANISM DESCRIPTOR.enum_types_by_name['FoldTightness'] = _FOLDTIGHTNESS DESCRIPTOR.enum_types_by_name['DeformationStyle'] = _DEFORMATIONSTYLE DESCRIPTOR.enum_types_by_name['HingePolarity'] = _HINGEPOLARITY _sym_db.RegisterFileDescriptor(DESCRIPTOR) Foliation_GMT = _reflection.GeneratedProtocolMessageType('Foliation_GMT', (_message.Message,), { 'DESCRIPTOR' : _FOLIATION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.Foliation_GMT) }) _sym_db.RegisterMessage(Foliation_GMT) ApparentDip_GMT = _reflection.GeneratedProtocolMessageType('ApparentDip_GMT', (_message.Message,), { 'DESCRIPTOR' : _APPARENTDIP_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ApparentDip_GMT) }) _sym_db.RegisterMessage(ApparentDip_GMT) SetModelBounds_GMT = _reflection.GeneratedProtocolMessageType('SetModelBounds_GMT', (_message.Message,), { 'DESCRIPTOR' : _SETMODELBOUNDS_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.SetModelBounds_GMT) }) _sym_db.RegisterMessage(SetModelBounds_GMT) GetModelBounds_GMT = _reflection.GeneratedProtocolMessageType('GetModelBounds_GMT', (_message.Message,), { 'DESCRIPTOR' : _GETMODELBOUNDS_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.GetModelBounds_GMT) }) _sym_db.RegisterMessage(GetModelBounds_GMT) OpenProjectGUI_GMT = _reflection.GeneratedProtocolMessageType('OpenProjectGUI_GMT', (_message.Message,), { 'DESCRIPTOR' : _OPENPROJECTGUI_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.OpenProjectGUI_GMT) }) _sym_db.RegisterMessage(OpenProjectGUI_GMT) OpenProjectNoGUI_GMT = _reflection.GeneratedProtocolMessageType('OpenProjectNoGUI_GMT', (_message.Message,), { 'DESCRIPTOR' : _OPENPROJECTNOGUI_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.OpenProjectNoGUI_GMT) }) _sym_db.RegisterMessage(OpenProjectNoGUI_GMT) CloseProjectNoGUI_GMT = _reflection.GeneratedProtocolMessageType('CloseProjectNoGUI_GMT', (_message.Message,), { 'DESCRIPTOR' : _CLOSEPROJECTNOGUI_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CloseProjectNoGUI_GMT) }) _sym_db.RegisterMessage(CloseProjectNoGUI_GMT) SaveProject_GMT = _reflection.GeneratedProtocolMessageType('SaveProject_GMT', (_message.Message,), { 'DESCRIPTOR' : _SAVEPROJECT_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.SaveProject_GMT) }) _sym_db.RegisterMessage(SaveProject_GMT) SaveProjectAs_GMT = _reflection.GeneratedProtocolMessageType('SaveProjectAs_GMT', (_message.Message,), { 'DESCRIPTOR' : _SAVEPROJECTAS_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.SaveProjectAs_GMT) }) _sym_db.RegisterMessage(SaveProjectAs_GMT) CustomDTM_GMT = _reflection.GeneratedProtocolMessageType('CustomDTM_GMT', (_message.Message,), { 'DESCRIPTOR' : _CUSTOMDTM_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CustomDTM_GMT) }) _sym_db.RegisterMessage(CustomDTM_GMT) HorizontalDTM_GMT = _reflection.GeneratedProtocolMessageType('HorizontalDTM_GMT', (_message.Message,), { 'DESCRIPTOR' : _HORIZONTALDTM_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.HorizontalDTM_GMT) }) _sym_db.RegisterMessage(HorizontalDTM_GMT) CreateProject_GMT = _reflection.GeneratedProtocolMessageType('CreateProject_GMT', (_message.Message,), { 'DESCRIPTOR' : _CREATEPROJECT_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CreateProject_GMT) }) _sym_db.RegisterMessage(CreateProject_GMT) ModelInterpolationParameters_GMT = _reflection.GeneratedProtocolMessageType('ModelInterpolationParameters_GMT', (_message.Message,), { 'DESCRIPTOR' : _MODELINTERPOLATIONPARAMETERS_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ModelInterpolationParameters_GMT) }) _sym_db.RegisterMessage(ModelInterpolationParameters_GMT) Anisotropic_Effect_GMT = _reflection.GeneratedProtocolMessageType('Anisotropic_Effect_GMT', (_message.Message,), { 'DESCRIPTOR' : _ANISOTROPIC_EFFECT_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.Anisotropic_Effect_GMT) }) _sym_db.RegisterMessage(Anisotropic_Effect_GMT) ExoticConstraint_GMT = _reflection.GeneratedProtocolMessageType('ExoticConstraint_GMT', (_message.Message,), { 'DESCRIPTOR' : _EXOTICCONSTRAINT_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ExoticConstraint_GMT) }) _sym_db.RegisterMessage(ExoticConstraint_GMT) ComputeModel_GMT = _reflection.GeneratedProtocolMessageType('ComputeModel_GMT', (_message.Message,), { 'DESCRIPTOR' : _COMPUTEMODEL_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ComputeModel_GMT) }) _sym_db.RegisterMessage(ComputeModel_GMT) RenderModel_GMT = _reflection.GeneratedProtocolMessageType('RenderModel_GMT', (_message.Message,), { 'DESCRIPTOR' : _RENDERMODEL_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.RenderModel_GMT) }) _sym_db.RegisterMessage(RenderModel_GMT) RenderModelOnSection_GMT = _reflection.GeneratedProtocolMessageType('RenderModelOnSection_GMT', (_message.Message,), { 'DESCRIPTOR' : _RENDERMODELONSECTION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.RenderModelOnSection_GMT) }) _sym_db.RegisterMessage(RenderModelOnSection_GMT) CreateFault_GMT = _reflection.GeneratedProtocolMessageType('CreateFault_GMT', (_message.Message,), { 'DESCRIPTOR' : _CREATEFAULT_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CreateFault_GMT) }) _sym_db.RegisterMessage(CreateFault_GMT) Set3dFaultLimits_GMT = _reflection.GeneratedProtocolMessageType('Set3dFaultLimits_GMT', (_message.Message,), { 'DESCRIPTOR' : _SET3DFAULTLIMITS_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.Set3dFaultLimits_GMT) }) _sym_db.RegisterMessage(Set3dFaultLimits_GMT) FaultCentre_GMT = _reflection.GeneratedProtocolMessageType('FaultCentre_GMT', (_message.Message,), { 'DESCRIPTOR' : _FAULTCENTRE_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.FaultCentre_GMT) }) _sym_db.RegisterMessage(FaultCentre_GMT) CreateFormation_GMT = _reflection.GeneratedProtocolMessageType('CreateFormation_GMT', (_message.Message,), { 'DESCRIPTOR' : _CREATEFORMATION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CreateFormation_GMT) }) _sym_db.RegisterMessage(CreateFormation_GMT) CreateDyke_GMT = _reflection.GeneratedProtocolMessageType('CreateDyke_GMT', (_message.Message,), { 'DESCRIPTOR' : _CREATEDYKE_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CreateDyke_GMT) }) _sym_db.RegisterMessage(CreateDyke_GMT) ExportSection_GMT = _reflection.GeneratedProtocolMessageType('ExportSection_GMT', (_message.Message,), { 'DESCRIPTOR' : _EXPORTSECTION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ExportSection_GMT) }) _sym_db.RegisterMessage(ExportSection_GMT) Export2DData_GMT = _reflection.GeneratedProtocolMessageType('Export2DData_GMT', (_message.Message,), { 'DESCRIPTOR' : _EXPORT2DDATA_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.Export2DData_GMT) }) _sym_db.RegisterMessage(Export2DData_GMT) CentralVerticalPotentialAndRank_GMT = _reflection.GeneratedProtocolMessageType('CentralVerticalPotentialAndRank_GMT', (_message.Message,), { 'DESCRIPTOR' : _CENTRALVERTICALPOTENTIALANDRANK_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CentralVerticalPotentialAndRank_GMT) }) _sym_db.RegisterMessage(CentralVerticalPotentialAndRank_GMT) GetModelSummary_GMT = _reflection.GeneratedProtocolMessageType('GetModelSummary_GMT', (_message.Message,), { 'DESCRIPTOR' : _GETMODELSUMMARY_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.GetModelSummary_GMT) }) _sym_db.RegisterMessage(GetModelSummary_GMT) SetSeries_GMT = _reflection.GeneratedProtocolMessageType('SetSeries_GMT', (_message.Message,), { 'DESCRIPTOR' : _SETSERIES_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.SetSeries_GMT) }) _sym_db.RegisterMessage(SetSeries_GMT) AddFormationToSeries_GMT = _reflection.GeneratedProtocolMessageType('AddFormationToSeries_GMT', (_message.Message,), { 'DESCRIPTOR' : _ADDFORMATIONTOSERIES_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.AddFormationToSeries_GMT) }) _sym_db.RegisterMessage(AddFormationToSeries_GMT) AddDykeToSeries_GMT = _reflection.GeneratedProtocolMessageType('AddDykeToSeries_GMT', (_message.Message,), { 'DESCRIPTOR' : _ADDDYKETOSERIES_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.AddDykeToSeries_GMT) }) _sym_db.RegisterMessage(AddDykeToSeries_GMT) AddPoint3d_GMT = _reflection.GeneratedProtocolMessageType('AddPoint3d_GMT', (_message.Message,), { 'DESCRIPTOR' : _ADDPOINT3D_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.AddPoint3d_GMT) }) _sym_db.RegisterMessage(AddPoint3d_GMT) PointList3d_GMT = _reflection.GeneratedProtocolMessageType('PointList3d_GMT', (_message.Message,), { 'DESCRIPTOR' : _POINTLIST3D_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.PointList3d_GMT) }) _sym_db.RegisterMessage(PointList3d_GMT) AddPoint2d_GMT = _reflection.GeneratedProtocolMessageType('AddPoint2d_GMT', (_message.Message,), { 'DESCRIPTOR' : _ADDPOINT2D_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.AddPoint2d_GMT) }) _sym_db.RegisterMessage(AddPoint2d_GMT) PointList2d_GMT = _reflection.GeneratedProtocolMessageType('PointList2d_GMT', (_message.Message,), { 'DESCRIPTOR' : _POINTLIST2D_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.PointList2d_GMT) }) _sym_db.RegisterMessage(PointList2d_GMT) CreateSection_GMT = _reflection.GeneratedProtocolMessageType('CreateSection_GMT', (_message.Message,), { 'DESCRIPTOR' : _CREATESECTION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CreateSection_GMT) }) _sym_db.RegisterMessage(CreateSection_GMT) CreateSegYThumbnail_GMT = _reflection.GeneratedProtocolMessageType('CreateSegYThumbnail_GMT', (_message.Message,), { 'DESCRIPTOR' : _CREATESEGYTHUMBNAIL_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CreateSegYThumbnail_GMT) }) _sym_db.RegisterMessage(CreateSegYThumbnail_GMT) AddInterfaceToSection_GMT = _reflection.GeneratedProtocolMessageType('AddInterfaceToSection_GMT', (_message.Message,), { 'DESCRIPTOR' : _ADDINTERFACETOSECTION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.AddInterfaceToSection_GMT) }) _sym_db.RegisterMessage(AddInterfaceToSection_GMT) AddFoliationToSection_GMT = _reflection.GeneratedProtocolMessageType('AddFoliationToSection_GMT', (_message.Message,), { 'DESCRIPTOR' : _ADDFOLIATIONTOSECTION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.AddFoliationToSection_GMT) }) _sym_db.RegisterMessage(AddFoliationToSection_GMT) Add3DFoliationToFormation_GMT = _reflection.GeneratedProtocolMessageType('Add3DFoliationToFormation_GMT', (_message.Message,), { 'DESCRIPTOR' : _ADD3DFOLIATIONTOFORMATION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.Add3DFoliationToFormation_GMT) }) _sym_db.RegisterMessage(Add3DFoliationToFormation_GMT) Add3DInterfacesToFormation_GMT = _reflection.GeneratedProtocolMessageType('Add3DInterfacesToFormation_GMT', (_message.Message,), { 'DESCRIPTOR' : _ADD3DINTERFACESTOFORMATION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.Add3DInterfacesToFormation_GMT) }) _sym_db.RegisterMessage(Add3DInterfacesToFormation_GMT) AddApparentDipToSection_GMT = _reflection.GeneratedProtocolMessageType('AddApparentDipToSection_GMT', (_message.Message,), { 'DESCRIPTOR' : _ADDAPPARENTDIPTOSECTION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.AddApparentDipToSection_GMT) }) _sym_db.RegisterMessage(AddApparentDipToSection_GMT) AddDykeStructuralDataToSection_GMT = _reflection.GeneratedProtocolMessageType('AddDykeStructuralDataToSection_GMT', (_message.Message,), { 'DESCRIPTOR' : _ADDDYKESTRUCTURALDATATOSECTION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.AddDykeStructuralDataToSection_GMT) }) _sym_db.RegisterMessage(AddDykeStructuralDataToSection_GMT) Create3DPoint_GMT = _reflection.GeneratedProtocolMessageType('Create3DPoint_GMT', (_message.Message,), { 'DESCRIPTOR' : _CREATE3DPOINT_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.Create3DPoint_GMT) }) _sym_db.RegisterMessage(Create3DPoint_GMT) Import2dDataToSection_GMT = _reflection.GeneratedProtocolMessageType('Import2dDataToSection_GMT', (_message.Message,), { 'DESCRIPTOR' : _IMPORT2DDATATOSECTION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.Import2dDataToSection_GMT) }) _sym_db.RegisterMessage(Import2dDataToSection_GMT) ReadAndImport2dDataToASection_GMT = _reflection.GeneratedProtocolMessageType('ReadAndImport2dDataToASection_GMT', (_message.Message,), { 'DESCRIPTOR' : _READANDIMPORT2DDATATOASECTION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ReadAndImport2dDataToASection_GMT) }) _sym_db.RegisterMessage(ReadAndImport2dDataToASection_GMT) ReadAndImport3dData_GMT = _reflection.GeneratedProtocolMessageType('ReadAndImport3dData_GMT', (_message.Message,), { 'DESCRIPTOR' : _READANDIMPORT3DDATA_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ReadAndImport3dData_GMT) }) _sym_db.RegisterMessage(ReadAndImport3dData_GMT) ImportMicroSeismicEvents_GMT = _reflection.GeneratedProtocolMessageType('ImportMicroSeismicEvents_GMT', (_message.Message,), { 'DESCRIPTOR' : _IMPORTMICROSEISMICEVENTS_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ImportMicroSeismicEvents_GMT) }) _sym_db.RegisterMessage(ImportMicroSeismicEvents_GMT) SurveyDirection_GMT = _reflection.GeneratedProtocolMessageType('SurveyDirection_GMT', (_message.Message,), { 'DESCRIPTOR' : _SURVEYDIRECTION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.SurveyDirection_GMT) }) _sym_db.RegisterMessage(SurveyDirection_GMT) LithologyInterval_GMT = _reflection.GeneratedProtocolMessageType('LithologyInterval_GMT', (_message.Message,), { 'DESCRIPTOR' : _LITHOLOGYINTERVAL_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.LithologyInterval_GMT) }) _sym_db.RegisterMessage(LithologyInterval_GMT) CreateDrillhole_GMT = _reflection.GeneratedProtocolMessageType('CreateDrillhole_GMT', (_message.Message,), { 'DESCRIPTOR' : _CREATEDRILLHOLE_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CreateDrillhole_GMT) }) _sym_db.RegisterMessage(CreateDrillhole_GMT) LoadDrillholes_GMT = _reflection.GeneratedProtocolMessageType('LoadDrillholes_GMT', (_message.Message,), { 'DESCRIPTOR' : _LOADDRILLHOLES_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.LoadDrillholes_GMT) }) _sym_db.RegisterMessage(LoadDrillholes_GMT) CompositeDrillholes_GMT = _reflection.GeneratedProtocolMessageType('CompositeDrillholes_GMT', (_message.Message,), { 'DESCRIPTOR' : _COMPOSITEDRILLHOLES_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CompositeDrillholes_GMT) }) _sym_db.RegisterMessage(CompositeDrillholes_GMT) DrillholeQueryMeshGrid_GMT = _reflection.GeneratedProtocolMessageType('DrillholeQueryMeshGrid_GMT', (_message.Message,), { 'DESCRIPTOR' : _DRILLHOLEQUERYMESHGRID_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.DrillholeQueryMeshGrid_GMT) }) _sym_db.RegisterMessage(DrillholeQueryMeshGrid_GMT) ImportSeismicCommon = _reflection.GeneratedProtocolMessageType('ImportSeismicCommon', (_message.Message,), { 'DESCRIPTOR' : _IMPORTSEISMICCOMMON, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ImportSeismicCommon) }) _sym_db.RegisterMessage(ImportSeismicCommon) ImportSeismicNav_GMT = _reflection.GeneratedProtocolMessageType('ImportSeismicNav_GMT', (_message.Message,), { 'DESCRIPTOR' : _IMPORTSEISMICNAV_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ImportSeismicNav_GMT) }) _sym_db.RegisterMessage(ImportSeismicNav_GMT) ImportSeismicHorizons_GMT = _reflection.GeneratedProtocolMessageType('ImportSeismicHorizons_GMT', (_message.Message,), { 'DESCRIPTOR' : _IMPORTSEISMICHORIZONS_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ImportSeismicHorizons_GMT) }) _sym_db.RegisterMessage(ImportSeismicHorizons_GMT) RenderSection_GMT = _reflection.GeneratedProtocolMessageType('RenderSection_GMT', (_message.Message,), { 'DESCRIPTOR' : _RENDERSECTION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.RenderSection_GMT) }) _sym_db.RegisterMessage(RenderSection_GMT) SaveLithologyVoxet_GMT = _reflection.GeneratedProtocolMessageType('SaveLithologyVoxet_GMT', (_message.Message,), { 'DESCRIPTOR' : _SAVELITHOLOGYVOXET_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.SaveLithologyVoxet_GMT) }) _sym_db.RegisterMessage(SaveLithologyVoxet_GMT) SavePotentialGradientVoxet_GMT = _reflection.GeneratedProtocolMessageType('SavePotentialGradientVoxet_GMT', (_message.Message,), { 'DESCRIPTOR' : _SAVEPOTENTIALGRADIENTVOXET_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.SavePotentialGradientVoxet_GMT) }) _sym_db.RegisterMessage(SavePotentialGradientVoxet_GMT) UpdateInterface_GMT = _reflection.GeneratedProtocolMessageType('UpdateInterface_GMT', (_message.Message,), { 'DESCRIPTOR' : _UPDATEINTERFACE_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.UpdateInterface_GMT) }) _sym_db.RegisterMessage(UpdateInterface_GMT) DeleteInterfacesFromSection_GMT = _reflection.GeneratedProtocolMessageType('DeleteInterfacesFromSection_GMT', (_message.Message,), { 'DESCRIPTOR' : _DELETEINTERFACESFROMSECTION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.DeleteInterfacesFromSection_GMT) }) _sym_db.RegisterMessage(DeleteInterfacesFromSection_GMT) FaultSeriesLinks_GMT = _reflection.GeneratedProtocolMessageType('FaultSeriesLinks_GMT', (_message.Message,), { 'DESCRIPTOR' : _FAULTSERIESLINKS_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.FaultSeriesLinks_GMT) }) _sym_db.RegisterMessage(FaultSeriesLinks_GMT) LinkFaultsWithSeries_GMT = _reflection.GeneratedProtocolMessageType('LinkFaultsWithSeries_GMT', (_message.Message,), { 'DESCRIPTOR' : _LINKFAULTSWITHSERIES_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.LinkFaultsWithSeries_GMT) }) _sym_db.RegisterMessage(LinkFaultsWithSeries_GMT) FaultStopsOnFaults_GMT = _reflection.GeneratedProtocolMessageType('FaultStopsOnFaults_GMT', (_message.Message,), { 'DESCRIPTOR' : _FAULTSTOPSONFAULTS_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.FaultStopsOnFaults_GMT) }) _sym_db.RegisterMessage(FaultStopsOnFaults_GMT) LinkFaultsWithFaults_GMT = _reflection.GeneratedProtocolMessageType('LinkFaultsWithFaults_GMT', (_message.Message,), { 'DESCRIPTOR' : _LINKFAULTSWITHFAULTS_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.LinkFaultsWithFaults_GMT) }) _sym_db.RegisterMessage(LinkFaultsWithFaults_GMT) WriteBatchFile_GMT = _reflection.GeneratedProtocolMessageType('WriteBatchFile_GMT', (_message.Message,), { 'DESCRIPTOR' : _WRITEBATCHFILE_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.WriteBatchFile_GMT) }) _sym_db.RegisterMessage(WriteBatchFile_GMT) SourceMeshGrid_GMT = _reflection.GeneratedProtocolMessageType('SourceMeshGrid_GMT', (_message.Message,), { 'DESCRIPTOR' : _SOURCEMESHGRID_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.SourceMeshGrid_GMT) }) _sym_db.RegisterMessage(SourceMeshGrid_GMT) CreateMeshGrid_GMT = _reflection.GeneratedProtocolMessageType('CreateMeshGrid_GMT', (_message.Message,), { 'DESCRIPTOR' : _CREATEMESHGRID_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CreateMeshGrid_GMT) }) _sym_db.RegisterMessage(CreateMeshGrid_GMT) ExportMeshGrid_GMT = _reflection.GeneratedProtocolMessageType('ExportMeshGrid_GMT', (_message.Message,), { 'DESCRIPTOR' : _EXPORTMESHGRID_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ExportMeshGrid_GMT) }) _sym_db.RegisterMessage(ExportMeshGrid_GMT) VariogramCurves_GMT = _reflection.GeneratedProtocolMessageType('VariogramCurves_GMT', (_message.Message,), { 'DESCRIPTOR' : _VARIOGRAMCURVES_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.VariogramCurves_GMT) }) _sym_db.RegisterMessage(VariogramCurves_GMT) ComputeVariogram_GMT = _reflection.GeneratedProtocolMessageType('ComputeVariogram_GMT', (_message.Message,), { 'DESCRIPTOR' : _COMPUTEVARIOGRAM_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ComputeVariogram_GMT) }) _sym_db.RegisterMessage(ComputeVariogram_GMT) VariogramAnalysisType = _reflection.GeneratedProtocolMessageType('VariogramAnalysisType', (_message.Message,), { 'DESCRIPTOR' : _VARIOGRAMANALYSISTYPE, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.VariogramAnalysisType) }) _sym_db.RegisterMessage(VariogramAnalysisType) InterpolateNumericalReadings_GMT = _reflection.GeneratedProtocolMessageType('InterpolateNumericalReadings_GMT', (_message.Message,), { 'DESCRIPTOR' : _INTERPOLATENUMERICALREADINGS_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.InterpolateNumericalReadings_GMT) }) _sym_db.RegisterMessage(InterpolateNumericalReadings_GMT) BuildTripleLines_GMT = _reflection.GeneratedProtocolMessageType('BuildTripleLines_GMT', (_message.Message,), { 'ExportTripleLines' : _reflection.GeneratedProtocolMessageType('ExportTripleLines', (_message.Message,), { 'DESCRIPTOR' : _BUILDTRIPLELINES_GMT_EXPORTTRIPLELINES, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.BuildTripleLines_GMT.ExportTripleLines) }) , 'ThinBodyBias' : _reflection.GeneratedProtocolMessageType('ThinBodyBias', (_message.Message,), { 'DESCRIPTOR' : _BUILDTRIPLELINES_GMT_THINBODYBIAS, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.BuildTripleLines_GMT.ThinBodyBias) }) , 'DESCRIPTOR' : _BUILDTRIPLELINES_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.BuildTripleLines_GMT) }) _sym_db.RegisterMessage(BuildTripleLines_GMT) _sym_db.RegisterMessage(BuildTripleLines_GMT.ExportTripleLines) _sym_db.RegisterMessage(BuildTripleLines_GMT.ThinBodyBias) ImportTripleLines_GMT = _reflection.GeneratedProtocolMessageType('ImportTripleLines_GMT', (_message.Message,), { 'DESCRIPTOR' : _IMPORTTRIPLELINES_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ImportTripleLines_GMT) }) _sym_db.RegisterMessage(ImportTripleLines_GMT) BuildMeshCGAL_GMT = _reflection.GeneratedProtocolMessageType('BuildMeshCGAL_GMT', (_message.Message,), { 'RefineMesh' : _reflection.GeneratedProtocolMessageType('RefineMesh', (_message.Message,), { 'OptEnergyParms' : _reflection.GeneratedProtocolMessageType('OptEnergyParms', (_message.Message,), { 'DESCRIPTOR' : _BUILDMESHCGAL_GMT_REFINEMESH_OPTENERGYPARMS, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.OptEnergyParms) }) , 'OptVertexParms' : _reflection.GeneratedProtocolMessageType('OptVertexParms', (_message.Message,), { 'DESCRIPTOR' : _BUILDMESHCGAL_GMT_REFINEMESH_OPTVERTEXPARMS, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh.OptVertexParms) }) , 'DESCRIPTOR' : _BUILDMESHCGAL_GMT_REFINEMESH, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.BuildMeshCGAL_GMT.RefineMesh) }) , 'GeomodellerOutput' : _reflection.GeneratedProtocolMessageType('GeomodellerOutput', (_message.Message,), { 'DESCRIPTOR' : _BUILDMESHCGAL_GMT_GEOMODELLEROUTPUT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.BuildMeshCGAL_GMT.GeomodellerOutput) }) , 'MeshCriteria' : _reflection.GeneratedProtocolMessageType('MeshCriteria', (_message.Message,), { 'FormationDiscretization' : _reflection.GeneratedProtocolMessageType('FormationDiscretization', (_message.Message,), { 'DESCRIPTOR' : _BUILDMESHCGAL_GMT_MESHCRITERIA_FORMATIONDISCRETIZATION, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria.FormationDiscretization) }) , 'DESCRIPTOR' : _BUILDMESHCGAL_GMT_MESHCRITERIA, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.BuildMeshCGAL_GMT.MeshCriteria) }) , 'SeedPoints' : _reflection.GeneratedProtocolMessageType('SeedPoints', (_message.Message,), { 'MeshSeedPoints' : _reflection.GeneratedProtocolMessageType('MeshSeedPoints', (_message.Message,), { 'DESCRIPTOR' : _BUILDMESHCGAL_GMT_SEEDPOINTS_MESHSEEDPOINTS, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.BuildMeshCGAL_GMT.SeedPoints.MeshSeedPoints) }) , 'RandomSeedPoints' : _reflection.GeneratedProtocolMessageType('RandomSeedPoints', (_message.Message,), { 'DESCRIPTOR' : _BUILDMESHCGAL_GMT_SEEDPOINTS_RANDOMSEEDPOINTS, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.BuildMeshCGAL_GMT.SeedPoints.RandomSeedPoints) }) , 'DESCRIPTOR' : _BUILDMESHCGAL_GMT_SEEDPOINTS, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.BuildMeshCGAL_GMT.SeedPoints) }) , 'DESCRIPTOR' : _BUILDMESHCGAL_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.BuildMeshCGAL_GMT) }) _sym_db.RegisterMessage(BuildMeshCGAL_GMT) _sym_db.RegisterMessage(BuildMeshCGAL_GMT.RefineMesh) _sym_db.RegisterMessage(BuildMeshCGAL_GMT.RefineMesh.OptEnergyParms) _sym_db.RegisterMessage(BuildMeshCGAL_GMT.RefineMesh.OptVertexParms) _sym_db.RegisterMessage(BuildMeshCGAL_GMT.GeomodellerOutput) _sym_db.RegisterMessage(BuildMeshCGAL_GMT.MeshCriteria) _sym_db.RegisterMessage(BuildMeshCGAL_GMT.MeshCriteria.FormationDiscretization) _sym_db.RegisterMessage(BuildMeshCGAL_GMT.SeedPoints) _sym_db.RegisterMessage(BuildMeshCGAL_GMT.SeedPoints.MeshSeedPoints) _sym_db.RegisterMessage(BuildMeshCGAL_GMT.SeedPoints.RandomSeedPoints) ExportModel_GMT = _reflection.GeneratedProtocolMessageType('ExportModel_GMT', (_message.Message,), { 'ExportType2D' : _reflection.GeneratedProtocolMessageType('ExportType2D', (_message.Message,), { 'DESCRIPTOR' : _EXPORTMODEL_GMT_EXPORTTYPE2D, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ExportModel_GMT.ExportType2D) }) , 'ExportType3D' : _reflection.GeneratedProtocolMessageType('ExportType3D', (_message.Message,), { 'DESCRIPTOR' : _EXPORTMODEL_GMT_EXPORTTYPE3D, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ExportModel_GMT.ExportType3D) }) , 'DESCRIPTOR' : _EXPORTMODEL_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ExportModel_GMT) }) _sym_db.RegisterMessage(ExportModel_GMT) _sym_db.RegisterMessage(ExportModel_GMT.ExportType2D) _sym_db.RegisterMessage(ExportModel_GMT.ExportType3D) Export3DShapes_GMT = _reflection.GeneratedProtocolMessageType('Export3DShapes_GMT', (_message.Message,), { 'DESCRIPTOR' : _EXPORT3DSHAPES_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.Export3DShapes_GMT) }) _sym_db.RegisterMessage(Export3DShapes_GMT) ExportProjectSite_GMT = _reflection.GeneratedProtocolMessageType('ExportProjectSite_GMT', (_message.Message,), { 'DESCRIPTOR' : _EXPORTPROJECTSITE_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ExportProjectSite_GMT) }) _sym_db.RegisterMessage(ExportProjectSite_GMT) Axis_Control_GMT = _reflection.GeneratedProtocolMessageType('Axis_Control_GMT', (_message.Message,), { 'DESCRIPTOR' : _AXIS_CONTROL_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.Axis_Control_GMT) }) _sym_db.RegisterMessage(Axis_Control_GMT) Presentation2D_Graphics_GMT = _reflection.GeneratedProtocolMessageType('Presentation2D_Graphics_GMT', (_message.Message,), { 'DESCRIPTOR' : _PRESENTATION2D_GRAPHICS_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.Presentation2D_Graphics_GMT) }) _sym_db.RegisterMessage(Presentation2D_Graphics_GMT) PrismFeFLOWTriangulation_GMT = _reflection.GeneratedProtocolMessageType('PrismFeFLOWTriangulation_GMT', (_message.Message,), { 'DESCRIPTOR' : _PRISMFEFLOWTRIANGULATION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.PrismFeFLOWTriangulation_GMT) }) _sym_db.RegisterMessage(PrismFeFLOWTriangulation_GMT) GenerateMeshReport_GMT = _reflection.GeneratedProtocolMessageType('GenerateMeshReport_GMT', (_message.Message,), { 'DESCRIPTOR' : _GENERATEMESHREPORT_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.GenerateMeshReport_GMT) }) _sym_db.RegisterMessage(GenerateMeshReport_GMT) MeshUnitForGeophys_GMT = _reflection.GeneratedProtocolMessageType('MeshUnitForGeophys_GMT', (_message.Message,), { 'RankRadiusControl' : _reflection.GeneratedProtocolMessageType('RankRadiusControl', (_message.Message,), { 'DESCRIPTOR' : _MESHUNITFORGEOPHYS_GMT_RANKRADIUSCONTROL, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.MeshUnitForGeophys_GMT.RankRadiusControl) }) , 'DESCRIPTOR' : _MESHUNITFORGEOPHYS_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.MeshUnitForGeophys_GMT) }) _sym_db.RegisterMessage(MeshUnitForGeophys_GMT) _sym_db.RegisterMessage(MeshUnitForGeophys_GMT.RankRadiusControl) GetComputedLithoAtXYZ_GMT = _reflection.GeneratedProtocolMessageType('GetComputedLithoAtXYZ_GMT', (_message.Message,), { 'DESCRIPTOR' : _GETCOMPUTEDLITHOATXYZ_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.GetComputedLithoAtXYZ_GMT) }) _sym_db.RegisterMessage(GetComputedLithoAtXYZ_GMT) GetComputedGradientAtXYZ_GMT = _reflection.GeneratedProtocolMessageType('GetComputedGradientAtXYZ_GMT', (_message.Message,), { 'DESCRIPTOR' : _GETCOMPUTEDGRADIENTATXYZ_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.GetComputedGradientAtXYZ_GMT) }) _sym_db.RegisterMessage(GetComputedGradientAtXYZ_GMT) ComputeExternalDriftField_GMT = _reflection.GeneratedProtocolMessageType('ComputeExternalDriftField_GMT', (_message.Message,), { 'Formation_Distribution' : _reflection.GeneratedProtocolMessageType('Formation_Distribution', (_message.Message,), { 'DESCRIPTOR' : _COMPUTEEXTERNALDRIFTFIELD_GMT_FORMATION_DISTRIBUTION, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ComputeExternalDriftField_GMT.Formation_Distribution) }) , 'DESCRIPTOR' : _COMPUTEEXTERNALDRIFTFIELD_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.ComputeExternalDriftField_GMT) }) _sym_db.RegisterMessage(ComputeExternalDriftField_GMT) _sym_db.RegisterMessage(ComputeExternalDriftField_GMT.Formation_Distribution) CreateAxialSeries_GMT = _reflection.GeneratedProtocolMessageType('CreateAxialSeries_GMT', (_message.Message,), { 'DESCRIPTOR' : _CREATEAXIALSERIES_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CreateAxialSeries_GMT) }) _sym_db.RegisterMessage(CreateAxialSeries_GMT) CreateAxialSurface_GMT = _reflection.GeneratedProtocolMessageType('CreateAxialSurface_GMT', (_message.Message,), { 'DESCRIPTOR' : _CREATEAXIALSURFACE_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CreateAxialSurface_GMT) }) _sym_db.RegisterMessage(CreateAxialSurface_GMT) AddAxialTraceLine_GMT = _reflection.GeneratedProtocolMessageType('AddAxialTraceLine_GMT', (_message.Message,), { 'DESCRIPTOR' : _ADDAXIALTRACELINE_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.AddAxialTraceLine_GMT) }) _sym_db.RegisterMessage(AddAxialTraceLine_GMT) AddAxialSurfaceOrientation_GMT = _reflection.GeneratedProtocolMessageType('AddAxialSurfaceOrientation_GMT', (_message.Message,), { 'DESCRIPTOR' : _ADDAXIALSURFACEORIENTATION_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.AddAxialSurfaceOrientation_GMT) }) _sym_db.RegisterMessage(AddAxialSurfaceOrientation_GMT) AddHingeLine_GMT = _reflection.GeneratedProtocolMessageType('AddHingeLine_GMT', (_message.Message,), { 'DESCRIPTOR' : _ADDHINGELINE_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.AddHingeLine_GMT) }) _sym_db.RegisterMessage(AddHingeLine_GMT) CreateSectionFromAxialSurface_GMT = _reflection.GeneratedProtocolMessageType('CreateSectionFromAxialSurface_GMT', (_message.Message,), { 'DESCRIPTOR' : _CREATESECTIONFROMAXIALSURFACE_GMT, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.CreateSectionFromAxialSurface_GMT) }) _sym_db.RegisterMessage(CreateSectionFromAxialSurface_GMT) GeomodellerTask = _reflection.GeneratedProtocolMessageType('GeomodellerTask', (_message.Message,), { 'DESCRIPTOR' : _GEOMODELLERTASK, '__module__' : 'gmtaskmodel_pb2' # @@protoc_insertion_point(class_scope:gmtaskmodel.GeomodellerTask) }) _sym_db.RegisterMessage(GeomodellerTask) # @@protoc_insertion_point(module_scope)

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0.052377

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0.695028

0.678887

0.66822

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0.043846

0.115248

611,940

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62,320

54.341533

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0

1

0

1

0

null

0

6

8618f7d7ecd3f1a305558980b98d97ea666df21d

18

py

Python

brainbox/lfp/__init__.py

k1o0/ibllib

842a8d72e0b75153126296061f4561f477e99646

[ "MIT" ]

1

2020-11-21T07:02:21.000Z

brainbox/lfp/__init__.py

k1o0/ibllib

842a8d72e0b75153126296061f4561f477e99646

[ "MIT" ]

null

brainbox/lfp/__init__.py

k1o0/ibllib

842a8d72e0b75153126296061f4561f477e99646

[ "MIT" ]

null

from .lfp import *

18

0.722222

3

18

4.333333

1

0

0.166667

18

1

18

0.866667

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true

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null

0

1

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1

0

1

0

6

86711a75a80615969e2a57da1384a8820ddbf7ef

16,700

py

Python

tests/test_autoscaling/test_autoscaling_cloudformation.py

gtourkas/moto

307104417b579d23d02f670ff55217a2d4a16bee

[ "Apache-2.0" ]

5,460

2015-01-01T01:11:17.000Z

2022-03-31T23:45:38.000Z

tests/test_autoscaling/test_autoscaling_cloudformation.py

gtourkas/moto

307104417b579d23d02f670ff55217a2d4a16bee

[ "Apache-2.0" ]

4,475

2015-01-05T19:37:30.000Z

2022-03-31T13:55:12.000Z

tests/test_autoscaling/test_autoscaling_cloudformation.py

gtourkas/moto

307104417b579d23d02f670ff55217a2d4a16bee

[ "Apache-2.0" ]

1,831

2015-01-14T00:00:44.000Z

2022-03-31T20:30:04.000Z

import boto3 import sure # noqa # pylint: disable=unused-import import json from moto import mock_autoscaling, mock_cloudformation, mock_ec2, mock_elb from .utils import setup_networking from tests import EXAMPLE_AMI_ID @mock_autoscaling @mock_cloudformation def test_launch_configuration(): cf_client = boto3.client("cloudformation", region_name="us-east-1") client = boto3.client("autoscaling", region_name="us-east-1") stack_name = "test-launch-configuration" cf_template = """ Resources: LaunchConfiguration: Type: AWS::AutoScaling::LaunchConfiguration Properties: ImageId: {0} InstanceType: t2.micro LaunchConfigurationName: test_launch_configuration Outputs: LaunchConfigurationName: Value: !Ref LaunchConfiguration """.strip().format( EXAMPLE_AMI_ID ) cf_client.create_stack( StackName=stack_name, TemplateBody=cf_template, ) stack = cf_client.describe_stacks(StackName=stack_name)["Stacks"][0] stack["Outputs"][0]["OutputValue"].should.be.equal("test_launch_configuration") lc = client.describe_launch_configurations()["LaunchConfigurations"][0] lc["LaunchConfigurationName"].should.be.equal("test_launch_configuration") lc["ImageId"].should.be.equal(EXAMPLE_AMI_ID) lc["InstanceType"].should.be.equal("t2.micro") cf_template = """ Resources: LaunchConfiguration: Type: AWS::AutoScaling::LaunchConfiguration Properties: ImageId: {0} InstanceType: m5.large LaunchConfigurationName: test_launch_configuration Outputs: LaunchConfigurationName: Value: !Ref LaunchConfiguration """.strip().format( EXAMPLE_AMI_ID ) cf_client.update_stack( StackName=stack_name, TemplateBody=cf_template, ) stack = cf_client.describe_stacks(StackName=stack_name)["Stacks"][0] stack["Outputs"][0]["OutputValue"].should.be.equal("test_launch_configuration") lc = client.describe_launch_configurations()["LaunchConfigurations"][0] lc["LaunchConfigurationName"].should.be.equal("test_launch_configuration") lc["ImageId"].should.be.equal(EXAMPLE_AMI_ID) lc["InstanceType"].should.be.equal("m5.large") @mock_autoscaling @mock_cloudformation def test_autoscaling_group_from_launch_config(): subnet_id = setup_networking()["subnet1"] cf_client = boto3.client("cloudformation", region_name="us-east-1") client = boto3.client("autoscaling", region_name="us-east-1") client.create_launch_configuration( LaunchConfigurationName="test_launch_configuration", InstanceType="t2.micro", ImageId=EXAMPLE_AMI_ID, ) stack_name = "test-auto-scaling-group" cf_template = """ Parameters: SubnetId: Type: AWS::EC2::Subnet::Id Resources: AutoScalingGroup: Type: AWS::AutoScaling::AutoScalingGroup Properties: AutoScalingGroupName: test_auto_scaling_group AvailabilityZones: - us-east-1a LaunchConfigurationName: test_launch_configuration MaxSize: "5" MinSize: "1" VPCZoneIdentifier: - !Ref SubnetId Outputs: AutoScalingGroupName: Value: !Ref AutoScalingGroup """.strip() cf_client.create_stack( StackName=stack_name, TemplateBody=cf_template, Parameters=[{"ParameterKey": "SubnetId", "ParameterValue": subnet_id}], ) stack = cf_client.describe_stacks(StackName=stack_name)["Stacks"][0] stack["Outputs"][0]["OutputValue"].should.be.equal("test_auto_scaling_group") asg = client.describe_auto_scaling_groups()["AutoScalingGroups"][0] asg["AutoScalingGroupName"].should.be.equal("test_auto_scaling_group") asg["MinSize"].should.be.equal(1) asg["MaxSize"].should.be.equal(5) asg["LaunchConfigurationName"].should.be.equal("test_launch_configuration") client.create_launch_configuration( LaunchConfigurationName="test_launch_configuration_new", InstanceType="t2.micro", ImageId=EXAMPLE_AMI_ID, ) cf_template = """ Parameters: SubnetId: Type: AWS::EC2::Subnet::Id Resources: AutoScalingGroup: Type: AWS::AutoScaling::AutoScalingGroup Properties: AutoScalingGroupName: test_auto_scaling_group AvailabilityZones: - us-east-1a LaunchConfigurationName: test_launch_configuration_new MaxSize: "6" MinSize: "2" VPCZoneIdentifier: - !Ref SubnetId Outputs: AutoScalingGroupName: Value: !Ref AutoScalingGroup """.strip() cf_client.update_stack( StackName=stack_name, TemplateBody=cf_template, Parameters=[{"ParameterKey": "SubnetId", "ParameterValue": subnet_id}], ) stack = cf_client.describe_stacks(StackName=stack_name)["Stacks"][0] stack["Outputs"][0]["OutputValue"].should.be.equal("test_auto_scaling_group") asg = client.describe_auto_scaling_groups()["AutoScalingGroups"][0] asg["AutoScalingGroupName"].should.be.equal("test_auto_scaling_group") asg["MinSize"].should.be.equal(2) asg["MaxSize"].should.be.equal(6) asg["LaunchConfigurationName"].should.be.equal("test_launch_configuration_new") @mock_autoscaling @mock_cloudformation @mock_ec2 def test_autoscaling_group_from_launch_template(): subnet_id = setup_networking()["subnet1"] cf_client = boto3.client("cloudformation", region_name="us-east-1") ec2_client = boto3.client("ec2", region_name="us-east-1") client = boto3.client("autoscaling", region_name="us-east-1") template_response = ec2_client.create_launch_template( LaunchTemplateName="test_launch_template", LaunchTemplateData={"ImageId": EXAMPLE_AMI_ID, "InstanceType": "t2.micro",}, ) launch_template_id = template_response["LaunchTemplate"]["LaunchTemplateId"] stack_name = "test-auto-scaling-group" cf_template = """ Parameters: SubnetId: Type: AWS::EC2::Subnet::Id LaunchTemplateId: Type: String Resources: AutoScalingGroup: Type: AWS::AutoScaling::AutoScalingGroup Properties: AutoScalingGroupName: test_auto_scaling_group AvailabilityZones: - us-east-1a LaunchTemplate: LaunchTemplateId: !Ref LaunchTemplateId Version: "1" MaxSize: "5" MinSize: "1" VPCZoneIdentifier: - !Ref SubnetId Outputs: AutoScalingGroupName: Value: !Ref AutoScalingGroup """.strip() cf_client.create_stack( StackName=stack_name, TemplateBody=cf_template, Parameters=[ {"ParameterKey": "SubnetId", "ParameterValue": subnet_id}, {"ParameterKey": "LaunchTemplateId", "ParameterValue": launch_template_id}, ], ) stack = cf_client.describe_stacks(StackName=stack_name)["Stacks"][0] stack["Outputs"][0]["OutputValue"].should.be.equal("test_auto_scaling_group") asg = client.describe_auto_scaling_groups()["AutoScalingGroups"][0] asg["AutoScalingGroupName"].should.be.equal("test_auto_scaling_group") asg["MinSize"].should.be.equal(1) asg["MaxSize"].should.be.equal(5) lt = asg["LaunchTemplate"] lt["LaunchTemplateId"].should.be.equal(launch_template_id) lt["LaunchTemplateName"].should.be.equal("test_launch_template") lt["Version"].should.be.equal("1") template_response = ec2_client.create_launch_template( LaunchTemplateName="test_launch_template_new", LaunchTemplateData={"ImageId": EXAMPLE_AMI_ID, "InstanceType": "m5.large",}, ) launch_template_id = template_response["LaunchTemplate"]["LaunchTemplateId"] cf_template = """ Parameters: SubnetId: Type: AWS::EC2::Subnet::Id LaunchTemplateId: Type: String Resources: AutoScalingGroup: Type: AWS::AutoScaling::AutoScalingGroup Properties: AutoScalingGroupName: test_auto_scaling_group AvailabilityZones: - us-east-1a LaunchTemplate: LaunchTemplateId: !Ref LaunchTemplateId Version: "1" MaxSize: "6" MinSize: "2" VPCZoneIdentifier: - !Ref SubnetId Outputs: AutoScalingGroupName: Value: !Ref AutoScalingGroup """.strip() cf_client.update_stack( StackName=stack_name, TemplateBody=cf_template, Parameters=[ {"ParameterKey": "SubnetId", "ParameterValue": subnet_id}, {"ParameterKey": "LaunchTemplateId", "ParameterValue": launch_template_id}, ], ) stack = cf_client.describe_stacks(StackName=stack_name)["Stacks"][0] stack["Outputs"][0]["OutputValue"].should.be.equal("test_auto_scaling_group") asg = client.describe_auto_scaling_groups()["AutoScalingGroups"][0] asg["AutoScalingGroupName"].should.be.equal("test_auto_scaling_group") asg["MinSize"].should.be.equal(2) asg["MaxSize"].should.be.equal(6) lt = asg["LaunchTemplate"] lt["LaunchTemplateId"].should.be.equal(launch_template_id) lt["LaunchTemplateName"].should.be.equal("test_launch_template_new") lt["Version"].should.be.equal("1") @mock_autoscaling @mock_elb @mock_cloudformation @mock_ec2 def test_autoscaling_group_with_elb(): web_setup_template = { "AWSTemplateFormatVersion": "2010-09-09", "Resources": { "my-as-group": { "Type": "AWS::AutoScaling::AutoScalingGroup", "Properties": { "AvailabilityZones": ["us-east-1a"], "LaunchConfigurationName": {"Ref": "my-launch-config"}, "MinSize": "2", "MaxSize": "2", "DesiredCapacity": "2", "LoadBalancerNames": [{"Ref": "my-elb"}], "Tags": [ { "Key": "propagated-test-tag", "Value": "propagated-test-tag-value", "PropagateAtLaunch": True, }, { "Key": "not-propagated-test-tag", "Value": "not-propagated-test-tag-value", "PropagateAtLaunch": False, }, ], }, }, "my-launch-config": { "Type": "AWS::AutoScaling::LaunchConfiguration", "Properties": { "ImageId": EXAMPLE_AMI_ID, "InstanceType": "t2.medium", "UserData": "some user data", }, }, "my-elb": { "Type": "AWS::ElasticLoadBalancing::LoadBalancer", "Properties": { "AvailabilityZones": ["us-east-1a"], "Listeners": [ { "LoadBalancerPort": "80", "InstancePort": "80", "Protocol": "HTTP", } ], "LoadBalancerName": "my-elb", "HealthCheck": { "Target": "HTTP:80", "HealthyThreshold": "3", "UnhealthyThreshold": "5", "Interval": "30", "Timeout": "5", }, }, }, }, } web_setup_template_json = json.dumps(web_setup_template) cf = boto3.client("cloudformation", region_name="us-east-1") ec2 = boto3.client("ec2", region_name="us-east-1") elb = boto3.client("elb", region_name="us-east-1") client = boto3.client("autoscaling", region_name="us-east-1") cf.create_stack(StackName="web_stack", TemplateBody=web_setup_template_json) autoscale_group = client.describe_auto_scaling_groups()["AutoScalingGroups"][0] autoscale_group["LaunchConfigurationName"].should.contain("my-launch-config") autoscale_group["LoadBalancerNames"].should.equal(["my-elb"]) # Confirm the Launch config was actually created client.describe_launch_configurations()[ "LaunchConfigurations" ].should.have.length_of(1) # Confirm the ELB was actually created elb.describe_load_balancers()["LoadBalancerDescriptions"].should.have.length_of(1) resources = cf.list_stack_resources(StackName="web_stack")["StackResourceSummaries"] as_group_resource = [ resource for resource in resources if resource["ResourceType"] == "AWS::AutoScaling::AutoScalingGroup" ][0] as_group_resource["PhysicalResourceId"].should.contain("my-as-group") launch_config_resource = [ resource for resource in resources if resource["ResourceType"] == "AWS::AutoScaling::LaunchConfiguration" ][0] launch_config_resource["PhysicalResourceId"].should.contain("my-launch-config") elb_resource = [ resource for resource in resources if resource["ResourceType"] == "AWS::ElasticLoadBalancing::LoadBalancer" ][0] elb_resource["PhysicalResourceId"].should.contain("my-elb") # confirm the instances were created with the right tags reservations = ec2.describe_instances()["Reservations"] reservations.should.have.length_of(1) reservations[0]["Instances"].should.have.length_of(2) for instance in reservations[0]["Instances"]: tag_keys = [t["Key"] for t in instance["Tags"]] tag_keys.should.contain("propagated-test-tag") tag_keys.should_not.contain("not-propagated-test-tag") @mock_autoscaling @mock_cloudformation @mock_ec2 def test_autoscaling_group_update(): asg_template = { "AWSTemplateFormatVersion": "2010-09-09", "Resources": { "my-as-group": { "Type": "AWS::AutoScaling::AutoScalingGroup", "Properties": { "AvailabilityZones": ["us-west-1a"], "LaunchConfigurationName": {"Ref": "my-launch-config"}, "MinSize": "2", "MaxSize": "2", "DesiredCapacity": "2", }, }, "my-launch-config": { "Type": "AWS::AutoScaling::LaunchConfiguration", "Properties": { "ImageId": EXAMPLE_AMI_ID, "InstanceType": "t2.medium", "UserData": "some user data", }, }, }, } asg_template_json = json.dumps(asg_template) cf = boto3.client("cloudformation", region_name="us-west-1") ec2 = boto3.client("ec2", region_name="us-west-1") client = boto3.client("autoscaling", region_name="us-west-1") cf.create_stack(StackName="asg_stack", TemplateBody=asg_template_json) asg = client.describe_auto_scaling_groups()["AutoScalingGroups"][0] asg["MinSize"].should.equal(2) asg["MaxSize"].should.equal(2) asg["DesiredCapacity"].should.equal(2) asg_template["Resources"]["my-as-group"]["Properties"]["MaxSize"] = 3 asg_template["Resources"]["my-as-group"]["Properties"]["Tags"] = [ { "Key": "propagated-test-tag", "Value": "propagated-test-tag-value", "PropagateAtLaunch": True, }, { "Key": "not-propagated-test-tag", "Value": "not-propagated-test-tag-value", "PropagateAtLaunch": False, }, ] asg_template_json = json.dumps(asg_template) cf.update_stack(StackName="asg_stack", TemplateBody=asg_template_json) asg = client.describe_auto_scaling_groups()["AutoScalingGroups"][0] asg["MinSize"].should.equal(2) asg["MaxSize"].should.equal(3) asg["DesiredCapacity"].should.equal(2) # confirm the instances were created with the right tags reservations = ec2.describe_instances()["Reservations"] running_instance_count = 0 for res in reservations: for instance in res["Instances"]: if instance["State"]["Name"] == "running": running_instance_count += 1 instance["Tags"].should.contain( {"Key": "propagated-test-tag", "Value": "propagated-test-tag-value"} ) tag_keys = [t["Key"] for t in instance["Tags"]] tag_keys.should_not.contain("not-propagated-test-tag") running_instance_count.should.equal(2)

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Python

plugins/bibtex_loader/__init__.py

gelana/website-content

11db61103d7d944ac321d5843580df2551fc2e2e

[ "MIT" ]

5

2019-04-09T07:47:33.000Z

2021-11-23T09:25:35.000Z

plugins/bibtex_loader/__init__.py

gelana/website-content

11db61103d7d944ac321d5843580df2551fc2e2e

[ "MIT" ]

286

2019-03-07T09:22:34.000Z

2022-03-30T14:57:01.000Z

plugins/bibtex_loader/__init__.py

gelana/website-content

11db61103d7d944ac321d5843580df2551fc2e2e

[ "MIT" ]

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2022-03-31T09:44:55.000Z

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checkout/models/__init__.py

KHIT93/djangoshop

d88211f63092a29d6f1a50412767280be0df87d8

[ "MIT" ]

null

checkout/models/__init__.py

KHIT93/djangoshop

d88211f63092a29d6f1a50412767280be0df87d8

[ "MIT" ]

3

2020-02-11T23:53:27.000Z

2021-06-10T19:29:43.000Z

checkout/models/__init__.py

KHIT93/djangoshop

d88211f63092a29d6f1a50412767280be0df87d8

[ "MIT" ]

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from .cart import Cart from .cart_item import CartItem

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account/constants.py

opendream/asip

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[ "MIT" ]

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account/constants.py

opendream/asip

20583aca6393102d425401d55ea32ac6b78be048

[ "MIT" ]

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2020-03-24T17:11:49.000Z

2022-01-13T01:18:11.000Z

account/constants.py

opendream/asip

20583aca6393102d425401d55ea32ac6b78be048

[ "MIT" ]

null

PROMOTE_LIST_CONFIG = { 'title': 'Meeting Interesting People', 'api': { 'data': '/api/v1/user/', } } TAB_LIST_CONFIG = [ { 'title': 'Interest', 'api': { 'options': '/api/v1/topic/', 'data': '/api/v1/user/', 'filter': 'interests', } }, { 'title': 'Country', 'api': { 'options': '/api/v1/country/', 'data': '/api/v1/user/', 'filter': 'country', } }, { 'title': 'Role', 'api': { 'options': '/api/v1/user_role/', 'data': '/api/v1/user/', 'filter': 'user_roles', } } ] PROMOTE_LIST_ROLE_CONFIG = {} TAB_LIST_ROLE_CONFIG = {} PROMOTE_LIST_ROLE_CONFIG['social-enterprise'] = { 'title': 'Meeting Interesting People', 'api': { 'data': '/api/v1/user/', 'default_params': {'user_roles': 1} } } TAB_LIST_ROLE_CONFIG['social-enterprise'] = [ { 'title': 'Interest', 'api': { 'options': '/api/v1/topic/', 'data': '/api/v1/user/', 'filter': 'interests', 'default_params': {'user_roles': 1} } }, { 'title': 'Country', 'api': { 'options': '/api/v1/country/', 'data': '/api/v1/user/', 'filter': 'country', 'default_params': {'user_roles': 1} } }, ] PROMOTE_LIST_ROLE_CONFIG['supporter'] = { 'title': 'Meeting Interesting People', 'api': { 'data': '/api/v1/user/', 'default_params': {'user_roles': 2} } } TAB_LIST_ROLE_CONFIG['supporter'] = [ { 'title': 'Interest', 'api': { 'options': '/api/v1/topic/', 'data': '/api/v1/user/', 'filter': 'interests', 'default_params': {'user_roles': 2} } }, { 'title': 'Country', 'api': { 'options': '/api/v1/country/', 'data': '/api/v1/user/', 'filter': 'country', 'default_params': {'user_roles': 2} } }, ] PROMOTE_LIST_ROLE_CONFIG['investor'] = { 'title': 'Meeting Interesting People', 'api': { 'data': '/api/v1/user/', 'default_params': {'user_roles': 3} } } TAB_LIST_ROLE_CONFIG['investor'] = [ { 'title': 'Interest', 'api': { 'options': '/api/v1/topic/', 'data': '/api/v1/user/', 'filter': 'interests', 'default_params': {'user_roles': 3} } }, { 'title': 'Country', 'api': { 'options': '/api/v1/country/', 'data': '/api/v1/user/', 'filter': 'country', 'default_params': {'user_roles': 3} } }, ]

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docs/tests/E0108.py

mrfyda/codacy-pylint-python3

e360f6c0407edebe274835d3a881d67e96adf8ba

[ "Apache-2.0" ]

17

2016-01-26T13:30:04.000Z

2022-03-06T21:11:42.000Z

docs/tests/E0108.py

mrfyda/codacy-pylint-python3

e360f6c0407edebe274835d3a881d67e96adf8ba

[ "Apache-2.0" ]

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2019-08-14T16:14:45.000Z

2022-03-31T11:00:50.000Z

docs/tests/E0108.py

mrfyda/codacy-pylint-python3

e360f6c0407edebe274835d3a881d67e96adf8ba

[ "Apache-2.0" ]

15

2015-11-18T12:18:50.000Z

2021-01-17T22:21:41.000Z

##Patterns: E0108 class Test(): ##Err: E0108 def a(self, arg, arg): return 1 ##Err: E0108 def test(a, a): return 1

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Python

wagtail/admin/tests/test_page_chooser.py

wlcrs/wagtail

8afbc6c3eccef9eb0f09ed56c54cd36779451882

[ "BSD-3-Clause" ]

3

2019-05-14T13:43:08.000Z

2021-11-09T11:27:18.000Z

wagtail/admin/tests/test_page_chooser.py

wlcrs/wagtail

8afbc6c3eccef9eb0f09ed56c54cd36779451882

[ "BSD-3-Clause" ]

13

2019-03-25T19:57:35.000Z

2019-12-28T19:25:23.000Z

wagtail/admin/tests/test_page_chooser.py

wlcrs/wagtail

8afbc6c3eccef9eb0f09ed56c54cd36779451882

[ "BSD-3-Clause" ]

1

2020-01-21T13:23:46.000Z

import json from django.contrib.auth import get_user_model from django.test import TestCase from django.urls import reverse from django.utils.http import urlencode from wagtail.admin.views.chooser import can_choose_page from wagtail.core.models import Page, UserPagePermissionsProxy from wagtail.tests.testapp.models import EventIndex, EventPage, SimplePage, SingleEventPage from wagtail.tests.utils import WagtailTestUtils class TestChooserBrowse(TestCase, WagtailTestUtils): def setUp(self): self.root_page = Page.objects.get(id=2) # Add child page self.child_page = SimplePage(title="foobarbaz", content="hello") self.root_page.add_child(instance=self.child_page) self.login() def get(self, params={}): return self.client.get(reverse('wagtailadmin_choose_page'), params) def test_simple(self): response = self.get() self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wagtailadmin/chooser/browse.html') def test_construct_queryset_hook(self): page = SimplePage(title="Test shown", content="hello") Page.get_first_root_node().add_child(instance=page) page_not_shown = SimplePage(title="Test not shown", content="hello") Page.get_first_root_node().add_child(instance=page_not_shown) def filter_pages(pages, request): return pages.filter(id=page.id) with self.register_hook('construct_page_chooser_queryset', filter_pages): response = self.get() self.assertEqual(len(response.context['pages']), 1) self.assertEqual(response.context['pages'][0].specific, page) class TestCanChooseRootFlag(TestCase, WagtailTestUtils): def setUp(self): self.login() def get(self, params={}): return self.client.get(reverse('wagtailadmin_choose_page'), params) def test_cannot_choose_root_by_default(self): response = self.get() self.assertNotContains(response, '/admin/pages/1/edit/') def test_can_choose_root(self): response = self.get({'can_choose_root': 'true'}) self.assertContains(response, '/admin/pages/1/edit/') class TestChooserBrowseChild(TestCase, WagtailTestUtils): def setUp(self): self.root_page = Page.objects.get(id=2) # Add child page self.child_page = SimplePage(title="foobarbaz", content="hello") self.root_page.add_child(instance=self.child_page) self.login() def get(self, params={}): return self.client.get(reverse('wagtailadmin_choose_page_child', args=(self.root_page.id,)), params) def get_invalid(self, params={}): return self.client.get(reverse('wagtailadmin_choose_page_child', args=(9999999,)), params) def test_simple(self): response = self.get() self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wagtailadmin/chooser/browse.html') def test_get_invalid(self): self.assertEqual(self.get_invalid().status_code, 404) def test_with_page_type(self): # Add a page that is not a SimplePage event_page = EventPage( title="event", location='the moon', audience='public', cost='free', date_from='2001-01-01', ) self.root_page.add_child(instance=event_page) # Add a page with a child page event_index_page = EventIndex( title="events", ) self.root_page.add_child(instance=event_index_page) event_index_page.add_child(instance=EventPage( title="other event", location='the moon', audience='public', cost='free', date_from='2001-01-01', )) # Send request response = self.get({'page_type': 'tests.simplepage'}) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wagtailadmin/chooser/browse.html') self.assertEqual(response.context['page_type_string'], 'tests.simplepage') pages = { page.id: page for page in response.context['pages'].object_list } # Child page is a simple page directly underneath root # so should appear in the list self.assertIn(self.child_page.id, pages) self.assertTrue(pages[self.child_page.id].can_choose) self.assertFalse(pages[self.child_page.id].can_descend) # Event page is not a simple page and is not descendable either # so should not appear in the list self.assertNotIn(event_page.id, pages) # Event index page is not a simple page but has a child and is therefore descendable # so should appear in the list self.assertIn(event_index_page.id, pages) self.assertFalse(pages[event_index_page.id].can_choose) self.assertTrue(pages[event_index_page.id].can_descend) def test_with_url_extended_page_type(self): # Add a page that overrides the url path single_event_page = SingleEventPage( title="foo", location='the moon', audience='public', cost='free', date_from='2001-01-01', ) self.root_page.add_child(instance=single_event_page) # Send request response = self.get() self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wagtailadmin/chooser/browse.html') page_urls = [ page.url for page in response.context['pages'] ] self.assertIn('/foo/pointless-suffix/', page_urls) def test_with_blank_page_type(self): # a blank page_type parameter should be equivalent to an absent parameter # (or an explicit page_type of wagtailcore.page) response = self.get({'page_type': ''}) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wagtailadmin/chooser/browse.html') def test_with_multiple_page_types(self): # Add a page that is not a SimplePage event_page = EventPage( title="event", location='the moon', audience='public', cost='free', date_from='2001-01-01', ) self.root_page.add_child(instance=event_page) # Send request response = self.get({'page_type': 'tests.simplepage,tests.eventpage'}) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wagtailadmin/chooser/browse.html') self.assertEqual(response.context['page_type_string'], 'tests.simplepage,tests.eventpage') pages = { page.id: page for page in response.context['pages'].object_list } # Simple page in results, as before self.assertIn(self.child_page.id, pages) self.assertTrue(pages[self.child_page.id].can_choose) # Event page should now also be choosable self.assertIn(event_page.id, pages) self.assertTrue(pages[self.child_page.id].can_choose) def test_with_unknown_page_type(self): response = self.get({'page_type': 'foo.bar'}) self.assertEqual(response.status_code, 404) def test_with_bad_page_type(self): response = self.get({'page_type': 'wagtailcore.site'}) self.assertEqual(response.status_code, 404) def test_with_invalid_page_type(self): response = self.get({'page_type': 'foo'}) self.assertEqual(response.status_code, 404) def setup_pagination_test_data(self): # Create lots of pages for i in range(100): new_page = SimplePage( title="foobarbaz", slug="foobarbaz-%d" % i, content="hello", ) self.root_page.add_child(instance=new_page) def test_pagination_basic(self): self.setup_pagination_test_data() response = self.get() self.assertEqual(response.context['pages'].paginator.num_pages, 5) self.assertEqual(response.context['pages'].number, 1) def test_pagination_another_page(self): self.setup_pagination_test_data() response = self.get({'p': 2}) self.assertEqual(response.context['pages'].number, 2) def test_pagination_invalid_page(self): self.setup_pagination_test_data() response = self.get({'p': 'foo'}) self.assertEqual(response.context['pages'].number, 1) def test_pagination_out_of_range_page(self): self.setup_pagination_test_data() response = self.get({'p': 100}) self.assertEqual(response.context['pages'].number, 5) class TestChooserSearch(TestCase, WagtailTestUtils): def setUp(self): self.root_page = Page.objects.get(id=2) # Add child page self.child_page = SimplePage(title="foobarbaz", content="hello") self.root_page.add_child(instance=self.child_page) self.login() def get(self, params=None): return self.client.get(reverse('wagtailadmin_choose_page_search'), params or {}) def test_simple(self): response = self.get({'q': "foobarbaz"}) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wagtailadmin/chooser/_search_results.html') self.assertContains(response, "There is 1 match") self.assertContains(response, "foobarbaz") def test_result_uses_custom_admin_display_title(self): single_event_page = SingleEventPage( title="Lunar event", location='the moon', audience='public', cost='free', date_from='2001-01-01', ) self.root_page.add_child(instance=single_event_page) response = self.get({'q': "lunar"}) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wagtailadmin/chooser/_search_results.html') self.assertContains(response, "Lunar event (single event)") def test_search_no_results(self): response = self.get({'q': "quux"}) self.assertEqual(response.status_code, 200) self.assertContains(response, "There are 0 matches") def test_with_page_type(self): # Add a page that is not a SimplePage event_page = EventPage( title="foo", location='the moon', audience='public', cost='free', date_from='2001-01-01', ) self.root_page.add_child(instance=event_page) # Send request response = self.get({'q': "foo", 'page_type': 'tests.simplepage'}) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wagtailadmin/chooser/_search_results.html') self.assertEqual(response.context['page_type_string'], 'tests.simplepage') pages = { page.id: page for page in response.context['pages'] } self.assertIn(self.child_page.id, pages) # Not a simple page self.assertNotIn(event_page.id, pages) def test_with_blank_page_type(self): # a blank page_type parameter should be equivalent to an absent parameter # (or an explicit page_type of wagtailcore.page) response = self.get({'q': "foobarbaz", 'page_type': ''}) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wagtailadmin/chooser/_search_results.html') self.assertContains(response, "There is 1 match") self.assertContains(response, "foobarbaz") def test_with_multiple_page_types(self): # Add a page that is not a SimplePage event_page = EventPage( title="foo", location='the moon', audience='public', cost='free', date_from='2001-01-01', ) self.root_page.add_child(instance=event_page) # Send request response = self.get({'q': "foo", 'page_type': 'tests.simplepage,tests.eventpage'}) self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wagtailadmin/chooser/_search_results.html') self.assertEqual(response.context['page_type_string'], 'tests.simplepage,tests.eventpage') pages = { page.id: page for page in response.context['pages'] } # Simple page in results, as before self.assertIn(self.child_page.id, pages) # Event page should now also be choosable self.assertIn(event_page.id, pages) def test_with_unknown_page_type(self): response = self.get({'page_type': 'foo.bar'}) self.assertEqual(response.status_code, 404) def test_with_bad_page_type(self): response = self.get({'page_type': 'wagtailcore.site'}) self.assertEqual(response.status_code, 404) def test_with_invalid_page_type(self): response = self.get({'page_type': 'foo'}) self.assertEqual(response.status_code, 404) def test_construct_queryset_hook(self): page = SimplePage(title="Test shown", content="hello") self.root_page.add_child(instance=page) page_not_shown = SimplePage(title="Test not shown", content="hello") self.root_page.add_child(instance=page_not_shown) def filter_pages(pages, request): return pages.filter(id=page.id) with self.register_hook('construct_page_chooser_queryset', filter_pages): response = self.get({'q': 'Test'}) self.assertEqual(len(response.context['pages']), 1) self.assertEqual(response.context['pages'][0].specific, page) class TestAutomaticRootPageDetection(TestCase, WagtailTestUtils): def setUp(self): self.tree_root = Page.objects.get(id=1) self.home_page = Page.objects.get(id=2) self.about_page = self.home_page.add_child(instance=SimplePage( title='About', content='About Foo')) self.contact_page = self.about_page.add_child(instance=SimplePage( title='Contact', content='Content Foo')) self.people_page = self.about_page.add_child(instance=SimplePage( title='People', content='The people of Foo')) self.event_index = self.make_event_section('Events') self.login() def make_event_section(self, name): event_index = self.home_page.add_child(instance=EventIndex( title=name)) event_index.add_child(instance=EventPage( title='First Event', location='Bar', audience='public', cost='free', date_from='2001-01-01')) event_index.add_child(instance=EventPage( title='Second Event', location='Baz', audience='public', cost='free', date_from='2001-01-01')) return event_index def get_best_root(self, params={}): response = self.client.get(reverse('wagtailadmin_choose_page'), params) return response.context['parent_page'].specific def test_no_type_filter(self): self.assertEqual(self.get_best_root(), self.tree_root) def test_type_page(self): self.assertEqual( self.get_best_root({'page_type': 'wagtailcore.Page'}), self.tree_root) def test_type_eventpage(self): """ The chooser should start at the EventIndex that holds all the EventPages. """ self.assertEqual( self.get_best_root({'page_type': 'tests.EventPage'}), self.event_index) def test_type_eventpage_two_indexes(self): """ The chooser should start at the home page, as there are two EventIndexes with EventPages. """ self.make_event_section('Other events') self.assertEqual( self.get_best_root({'page_type': 'tests.EventPage'}), self.home_page) def test_type_simple_page(self): """ The chooser should start at the home page, as all SimplePages are directly under it """ self.assertEqual( self.get_best_root({'page_type': 'tests.BusinessIndex'}), self.tree_root) def test_type_missing(self): """ The chooser should start at the root, as there are no BusinessIndexes """ self.assertEqual( self.get_best_root({'page_type': 'tests.BusinessIndex'}), self.tree_root) class TestChooserExternalLink(TestCase, WagtailTestUtils): def setUp(self): self.login() def get(self, params={}): return self.client.get(reverse('wagtailadmin_choose_page_external_link'), params) def post(self, post_data={}, url_params={}): url = reverse('wagtailadmin_choose_page_external_link') if url_params: url += '?' + urlencode(url_params) return self.client.post(url, post_data) def test_simple(self): response = self.get() self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wagtailadmin/chooser/external_link.html') def test_prepopulated_form(self): response = self.get({'link_text': 'Torchbox', 'link_url': 'https://torchbox.com/'}) self.assertEqual(response.status_code, 200) self.assertContains(response, 'Torchbox') self.assertContains(response, 'https://torchbox.com/') def test_create_link(self): response = self.post({'url': 'http://www.example.com/', 'link_text': 'example'}) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content.decode()) self.assertEqual(response_json['step'], 'external_link_chosen') self.assertEqual(response_json['result']['url'], "http://www.example.com/") self.assertEqual(response_json['result']['title'], "example") # When link text is given, it is used self.assertEqual(response_json['result']['prefer_this_title_as_link_text'], True) def test_create_link_without_text(self): response = self.post({'url': 'http://www.example.com/'}) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content.decode()) self.assertEqual(response_json['step'], 'external_link_chosen') self.assertEqual(response_json['result']['url'], "http://www.example.com/") self.assertEqual(response_json['result']['title'], "http://www.example.com/") # When no text is given, it uses the url self.assertEqual(response_json['result']['prefer_this_title_as_link_text'], False) def test_notice_changes_to_link_text(self): response = self.post( {'url': 'http://www.example.com/', 'link_text': 'example'}, # POST data {'link_url': 'http://old.example.com/', 'link_text': 'example'} # GET params - initial data ) result = json.loads(response.content.decode())['result'] self.assertEqual(result['url'], "http://www.example.com/") self.assertEqual(result['title'], "example") # no change to link text, so prefer the existing link/selection content where available self.assertEqual(result['prefer_this_title_as_link_text'], False) response = self.post( {'url': 'http://www.example.com/', 'link_text': 'new example'}, # POST data {'link_url': 'http://old.example.com/', 'link_text': 'example'} # GET params - initial data ) result = json.loads(response.content.decode())['result'] self.assertEqual(result['url'], "http://www.example.com/") self.assertEqual(result['title'], "new example") # link text has changed, so tell the caller to use it self.assertEqual(result['prefer_this_title_as_link_text'], True) def test_invalid_url(self): response = self.post({'url': 'ntp://www.example.com', 'link_text': 'example'}) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content.decode()) self.assertEqual(response_json['step'], 'external_link') # indicates failure / show error message self.assertContains(response, "Enter a valid URL.") def test_allow_local_url(self): response = self.post({'url': '/admin/', 'link_text': 'admin'}) self.assertEqual(response.status_code, 200) response_json = json.loads(response.content.decode()) self.assertEqual(response_json['step'], 'external_link_chosen') # indicates success / post back to calling page self.assertEqual(response_json['result']['url'], "/admin/") self.assertEqual(response_json['result']['title'], "admin") class TestChooserEmailLink(TestCase, WagtailTestUtils): def setUp(self): self.login() def get(self, params={}): return self.client.get(reverse('wagtailadmin_choose_page_email_link'), params) def post(self, post_data={}, url_params={}): url = reverse('wagtailadmin_choose_page_email_link') if url_params: url += '?' + urlencode(url_params) return self.client.post(url, post_data) def test_simple(self): response = self.get() self.assertEqual(response.status_code, 200) self.assertTemplateUsed(response, 'wagtailadmin/chooser/email_link.html') def test_prepopulated_form(self): response = self.get({'link_text': 'Example', 'link_url': 'example@example.com'}) self.assertEqual(response.status_code, 200) self.assertContains(response, 'Example') self.assertContains(response, 'example@example.com') def test_create_link(self): response = self.post({'email_address': 'example@example.com', 'link_text': 'contact'}) result = json.loads(response.content.decode())['result'] self.assertEqual(result['url'], "mailto:example@example.com") self.assertEqual(result['title'], "contact") # When link text is given, it is used self.assertEqual(result['prefer_this_title_as_link_text'], True) def test_create_link_without_text(self): response = self.post({'email_address': 'example@example.com'}) result = json.loads(response.content.decode())['result'] self.assertEqual(result['url'], "mailto:example@example.com") self.assertEqual(result['title'], "example@example.com") # When no link text is given, it uses the email self.assertEqual(result['prefer_this_title_as_link_text'], False) def test_notice_changes_to_link_text(self): response = self.post( {'email_address': 'example2@example.com', 'link_text': 'example'}, # POST data {'link_url': 'example@example.com', 'link_text': 'example'} # GET params - initial data ) result = json.loads(response.content.decode())['result'] self.assertEqual(result['url'], "mailto:example2@example.com") self.assertEqual(result['title'], "example") # no change to link text, so prefer the existing link/selection content where available self.assertEqual(result['prefer_this_title_as_link_text'], False) response = self.post( {'email_address': 'example2@example.com', 'link_text': 'new example'}, # POST data {'link_url': 'example@example.com', 'link_text': 'example'} # GET params - initial data ) result = json.loads(response.content.decode())['result'] self.assertEqual(result['url'], "mailto:example2@example.com") self.assertEqual(result['title'], "new example") # link text has changed, so tell the caller to use it self.assertEqual(result['prefer_this_title_as_link_text'], True) class TestCanChoosePage(TestCase, WagtailTestUtils): fixtures = ['test.json'] def setUp(self): self.user = self.login() self.permission_proxy = UserPagePermissionsProxy(self.user) self.desired_classes = (Page, ) def test_can_choose_page(self): homepage = Page.objects.get(url_path='/home/') result = can_choose_page(homepage, self.permission_proxy, self.desired_classes) self.assertTrue(result) def test_with_user_no_permission(self): homepage = Page.objects.get(url_path='/home/') # event editor does not have permissions on homepage event_editor = get_user_model().objects.get(username='eventeditor') permission_proxy = UserPagePermissionsProxy(event_editor) result = can_choose_page(homepage, permission_proxy, self.desired_classes, user_perm='copy_to') self.assertFalse(result) def test_with_can_choose_root(self): root = Page.objects.get(url_path='/') result = can_choose_page(root, self.permission_proxy, self.desired_classes, can_choose_root=True) self.assertTrue(result) def test_with_can_not_choose_root(self): root = Page.objects.get(url_path='/') result = can_choose_page(root, self.permission_proxy, self.desired_classes, can_choose_root=False) self.assertFalse(result)

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5.244437

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0.72326

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24,945

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40.693312

0.803513

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0.231818

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null

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null

0

6

d4c6a3442e55752952b4592675ca1c9a598aa516

214

py

Python

modpoll/__init__.py

gavinying/modpoll

6f76b5eb93670dc19a7036f5dd9632a4a2776d84

[ "MIT" ]

2

2021-09-25T00:35:21.000Z

2021-12-04T15:47:26.000Z

modpoll/__init__.py

gavinying/modpoll

6f76b5eb93670dc19a7036f5dd9632a4a2776d84

[ "MIT" ]

1

2022-03-28T23:16:08.000Z

2022-03-29T02:14:32.000Z

modpoll/__init__.py

gavinying/modpoll

6f76b5eb93670dc19a7036f5dd9632a4a2776d84

[ "MIT" ]

null

try: import importlib.metadata as importlib_metadata except ModuleNotFoundError: import importlib_metadata __version__ = importlib_metadata.version(__name__) from .main import app from . import arg_parser

23.777778

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d4d58c0ed7b053b22b2bcecee7c0c4f0dbc292b7

9,890

py

Python

src/python/metrics/fuzzer_stats_schema.py

eepeep/clusterfuzz

b48371466493ba1f46bd2769f01eadcf49d0cff1

[ "Apache-2.0" ]

3

2020-12-30T07:00:55.000Z

2021-03-16T10:55:05.000Z

src/python/metrics/fuzzer_stats_schema.py

eepeep/clusterfuzz

b48371466493ba1f46bd2769f01eadcf49d0cff1

[ "Apache-2.0" ]

34

2020-08-18T18:47:00.000Z

2021-07-14T07:47:35.000Z

src/python/metrics/fuzzer_stats_schema.py

eepeep/clusterfuzz

b48371466493ba1f46bd2769f01eadcf49d0cff1

[ "Apache-2.0" ]

null

# Copyright 2019 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. """Fuzzer stats schema.""" _COMMON_COLUMNS = [{ 'mode': 'NULLABLE', 'name': 'kind', 'type': 'STRING' }, { 'mode': 'NULLABLE', 'name': 'timestamp', 'type': 'FLOAT' }, { 'mode': 'REPEATED', 'name': 'command', 'type': 'STRING' }, { 'mode': 'NULLABLE', 'name': 'build_revision', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'fuzzer', 'type': 'STRING' }, { 'mode': 'NULLABLE', 'name': 'job', 'type': 'string' }, { 'mode': 'NULLABLE', 'name': 'source', 'type': 'STRING' }] _AFL_SCHEMA = [{ 'mode': 'NULLABLE', 'name': 'strategy_fast_cal_random', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'dict_used', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'new_units_generated', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'crash_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'manual_dict_size', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'timeout_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'stability', 'type': 'FLOAT' }, { 'mode': 'NULLABLE', 'name': 'corpus_crash_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'startup_crash_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'timeout_limit', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_corpus_subset', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'bad_instrumentation', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'average_exec_per_sec', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_fast_cal_manual', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'corpus_size', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'new_units_added', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'log_lines_unwanted', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'actual_duration', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'expected_duration', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'oom_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'log_lines_ignored', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_corpus_mutations', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'read_units', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'max_len', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'log_lines_from_engine', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_recommended_dict', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'exception_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'slow_unit_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_value_profile', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'recommended_dict_size', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'leak_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_corpus_mutations_radamsa', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_corpus_mutations_ml_rnn', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_selection_method', 'type': 'STRING' }] + _COMMON_COLUMNS _LIBFUZZER_SCHEMA = [{ 'mode': 'NULLABLE', 'name': 'max_len', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'log_lines_ignored', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'feature_coverage', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'average_exec_per_sec', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'crash_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'expected_duration', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'leak_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_corpus_subset', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_dataflow_tracing', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'number_of_executed_units', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'slow_unit_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_corpus_mutations_radamsa', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'log_lines_from_engine', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'merge_edge_coverage', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_random_max_len', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'peak_rss_mb', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'corpus_crash_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'startup_crash_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'edge_coverage', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'new_units_generated', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'initial_feature_coverage', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'manual_dict_size', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_fork', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'bad_instrumentation', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'initial_edge_coverage', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'timeout_limit', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'dict_used', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'fuzzing_time_percent', 'type': 'FLOAT' }, { 'name': 'new_features', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'log_lines_unwanted', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'slowest_unit_time_sec', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'edges_total', 'type': 'INTEGER' }, { 'name': 'new_edges', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'timeout_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_corpus_mutations_ml_rnn', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'slow_units_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'oom_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_selection_method', 'type': 'STRING' }, { 'mode': 'NULLABLE', 'name': 'recommended_dict_size', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'actual_duration', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_value_profile', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_recommended_dict', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'corpus_size', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'new_units_added', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_mutator_plugin', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_mutator_plugin_radamsa', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'corpus_rss_mb', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'merge_new_files', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'merge_new_features', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_handle_unstable', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_weighted_mutations', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'strategy_corpus_mutations', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'read_units', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'seed_corpus_rss', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'exception_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'edge_coverage_count', 'type': 'INTEGER' }] + _COMMON_COLUMNS _HONGGFUZZ_SCHEMA = [{ 'mode': 'NULLABLE', 'name': 'timeout_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'branch_coverage_percent', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'guard_nb', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'crashes_count', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'new_units_added', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'slowest_unit_ms', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'peak_rss_mb', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'iterations', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'time', 'type': 'INTEGER' }, { 'mode': 'NULLABLE', 'name': 'speed', 'type': 'INTEGER' }] + _COMMON_COLUMNS _SCHEMA = { 'afl': _AFL_SCHEMA, 'honggfuzz': _HONGGFUZZ_SCHEMA, 'libFuzzer': _LIBFUZZER_SCHEMA, } def get(engine_name): """Get the schema for an engine name.""" schema = _SCHEMA.get(engine_name) if not schema: return None return {'fields': schema}

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6

d4d8797c7869b82c16f4d579cc51996a0b078ef2

6,462

py

Python

pytests/rebalance/negative_rebalance_tests.py

ramalingam-cb/testrunner

81cea7a5a493cf0c67fca7f97c667cd3c6ad2142

[ "Apache-2.0" ]

null

pytests/rebalance/negative_rebalance_tests.py

ramalingam-cb/testrunner

81cea7a5a493cf0c67fca7f97c667cd3c6ad2142

[ "Apache-2.0" ]

null

pytests/rebalance/negative_rebalance_tests.py

ramalingam-cb/testrunner

81cea7a5a493cf0c67fca7f97c667cd3c6ad2142

[ "Apache-2.0" ]

null

import time from threading import Thread from rebalance.rebalance_base import RebalanceBaseTest from membase.api.exception import RebalanceFailedException from membase.api.rest_client import RestConnection, RestHelper from couchbase_helper.documentgenerator import BlobGenerator from membase.helper.rebalance_helper import RebalanceHelper from remote.remote_util import RemoteMachineShellConnection from membase.helper.cluster_helper import ClusterOperationHelper class NegativeRebalanceTests(RebalanceBaseTest): def setUp(self): super(NegativeRebalanceTests, self).setUp() def tearDown(self): super(NegativeRebalanceTests, self).tearDown() def pass_no_arguments(self): try: self.rest = RestConnection(self.master) status = self.rest.rebalance(otpNodes=[], ejectedNodes=[]) self.assertFalse(status," Rebalance did not fail as expected") except Exception, ex: self.assertTrue(("empty_known_nodes" in str(ex)),"Rebalance did not fail as expected, got an unexpected exception {0}".format(ex)) def add_no_nodes(self): self.rest = RestConnection(self.master) nodes = self.get_nodes(self.master) status = self.rest.rebalance(otpNodes=nodes, ejectedNodes=[]) self.assertTrue(status," Rebalance did not fail as expected") def remove_all_nodes(self): try: self.rest = RestConnection(self.master) nodes = self.get_nodes(self.master) status = self.rest.rebalance(otpNodes=nodes, ejectedNodes=nodes) self.assertTrue(status," Rebalance did not fail as expected") except Exception, ex: self.assertTrue(("No active nodes" in str(ex)),"Rebalance did not fail as expected, got an unexpected exception {0}".format(ex)) def pass_non_existant_nodes(self): try: self.rest = RestConnection(self.master) status = self.rest.rebalance(otpNodes=['non-existant'], ejectedNodes=['non-existant']) self.assertFalse(status," Rebalance did not fail as expected") except Exception, ex: self.assertTrue(("mismatch" in str(ex)),"Rebalance did not fail as expected, got an unexpected exception {0}".format(ex)) def non_existant_recovery_bucket(self): try: self.rest = RestConnection(self.master) nodes = self.get_nodes(self.master) chosen = RebalanceHelper.pick_nodes(self.master, howmany=1) # Mark Node for failover success_failed_over = self.rest.fail_over(chosen[0].id, graceful=False) # Mark Node for full recovery if success_failed_over: self.rest.set_recovery_type(otpNode=chosen[0].id, recoveryType="delta") status = self.rest.rebalance(otpNodes=nodes, ejectedNodes=nodes[1:],deltaRecoveryBuckets =['non-existant']) self.assertFalse(status," Rebalance did not fail as expected") except Exception, ex: self.assertTrue(("deltaRecoveryNotPossible" in str(ex)),"Rebalance did not fail as expected, got an unexpected exception {0}".format(ex)) def not_ready_for_recovery(self): try: self.rest = RestConnection(self.master) nodes = self.get_nodes(self.master) chosen = RebalanceHelper.pick_nodes(self.master, howmany=1) # Mark Node for failover success_failed_over = self.rest.fail_over(chosen[0].id, graceful=False) self.stop_server(self.servers[1]) # Mark Node for full recovery if success_failed_over: self.rest.set_recovery_type(otpNode=chosen[0].id, recoveryType="delta") status = self.rest.rebalance(otpNodes=nodes, ejectedNodes=nodes[1:]) self.assertFalse(status," Rebalance did not fail as expected ") finally: self.start_server(self.servers[1]) def node_down_cannot_rebalance(self): try: self.rest = RestConnection(self.master) nodes = self.get_nodes(self.master) self.stop_server(self.servers[1]) status = self.rest.rebalance(otpNodes=nodes, ejectedNodes=nodes[1:]) self.assertFalse(status," Rebalance did not fail as expected ") finally: self.start_server(self.servers[1]) def rebalance_running_cannot_rebalance(self): self.rest = RestConnection(self.master) nodes = self.get_nodes(self.master) status = self.rest.rebalance(otpNodes=nodes, ejectedNodes=nodes[1:]) status = self.rest.rebalance(otpNodes=nodes, ejectedNodes=nodes[1:]) self.assertFalse(status,"Rebalance did not fail as expected ") def rebalance_graceful_failover_running_cannot_rebalance(self): self.rest = RestConnection(self.master) nodes = self.get_nodes(self.master) chosen = RebalanceHelper.pick_nodes(self.master, howmany=1) success_failed_over = self.rest.fail_over(chosen[0].id, graceful=True) status = self.rest.rebalance(otpNodes=nodes,ejectedNodes=nodes[1:]) self.assertFalse(status," Rebalance did not fail as expected ") def get_nodes(self,server): self.rest = RestConnection(self.master) nodes = self.rest.node_statuses() nodes = [node.id for node in nodes] return nodes def stop_server(self, node): """ Method to stop a server which is subject to failover """ for server in self.servers: if server.ip == node.ip: shell = RemoteMachineShellConnection(server) if shell.is_couchbase_installed(): shell.stop_couchbase() self.log.info("Couchbase stopped") else: shell.stop_membase() self.log.info("Membase stopped") shell.disconnect() def start_server(self, node): """ Method to stop a server which is subject to failover """ for server in self.servers: if server.ip == node.ip: shell = RemoteMachineShellConnection(server) if shell.is_couchbase_installed(): shell.start_couchbase() self.log.info("Couchbase started") else: shell.start_membase() self.log.info("Membase started") shell.disconnect() break

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null

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1

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6

077fb3a131881bef3305ea827ab60ee473bd0a7c

27

py

Python

skin.py

JoeSuber/dialtones

53a2dba4f635cbe0550e92f8a67be874ea6b397f

[ "MIT" ]

null

skin.py

JoeSuber/dialtones

53a2dba4f635cbe0550e92f8a67be874ea6b397f

[ "MIT" ]

null

skin.py

JoeSuber/dialtones

53a2dba4f635cbe0550e92f8a67be874ea6b397f

[ "MIT" ]

null

from lizardhide import *

6.75

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6

078689023f093cb8c8982f4465b2e74551bbb207

51,022

py

Python

rMATS_paired.py

Xinglab/rMATS-STAT

8e5d9e88571bd1df981329d2b4ad7858a387822f

[ "BSD-4-Clause-UC" ]

11

2016-12-09T13:40:45.000Z

2020-03-13T13:51:54.000Z

rMATS_paired.py

Xinglab/rMATS-STAT

8e5d9e88571bd1df981329d2b4ad7858a387822f

[ "BSD-4-Clause-UC" ]

5

2017-06-19T16:18:12.000Z

2020-05-22T04:07:26.000Z

rMATS_paired.py

Xinglab/rMATS-STAT

8e5d9e88571bd1df981329d2b4ad7858a387822f

[ "BSD-4-Clause-UC" ]

11

2016-09-01T19:26:36.000Z

2020-04-20T20:48:50.000Z

import re,os,sys,warnings,numpy,scipy,math,itertools; from scipy import stats; from numpy import *; from multiprocessing import Pool; from scipy.optimize import fmin_cobyla from scipy.optimize import fmin_l_bfgs_b from math import log; numpy.random.seed(1231); warnings.filterwarnings('ignore'); #MultiProcessor MultiProcessor=1; if len(sys.argv)>=4: MultiProcessor=int(sys.argv[3]); #splicing difference cutoff cutoff=0.1; if len(sys.argv)>=5: cutoff=float(sys.argv[4]); #binomial MLE optimization functions def logit(x): if x<0.01: x=0.01; if x>0.99: x=0.99; return(log(x/(1-x))); def veclogit(x): res=[]; for i in x: res.append(logit(i)); return(res); #START: log Marginal distribution for the paired analysis #this is the full log likelihood function within the Laplace approximiation of the marginal distribution of paired replicates #for one exon only def myfunc_marginal_full_paired(x, *args): beta1=x[0];beta2=x[1];rho=x[2];var1=x[3];var2=x[4]; I1=args[0];S1=args[1];psi1=args[2]; I2=args[3];S2=args[4];psi2=args[5]; inclusion_length=args[6];skipping_length=args[7]; sigma=matrix([[var1,rho*sqrt(var1)*sqrt(var2)],[rho*sqrt(var1)*sqrt(var2),var2]]); sigma_inv=sigma.getI(); vec=matrix([[logit(psi1)-logit(beta1)],[logit(psi2)-logit(beta2)]]); new_psi1=inclusion_length*psi1/(inclusion_length*psi1+skipping_length*(1-psi1)); new_psi2=inclusion_length*psi2/(inclusion_length*psi2+skipping_length*(1-psi2)); #print('vec');print(vec); temp1=0;temp2=0;temp3=0;temp4=0; temp1+=-0.5*log(abs(linalg.det(sigma))); temp2+=-0.5*dot(dot(vec.getT(),sigma_inv),vec); temp3+=I1*log(new_psi1)+S1*log(1-new_psi1)+log(psi1)+log(1-psi1); temp4+=I2*log(new_psi2)+S2*log(1-new_psi2)+log(psi2)+log(1-psi2); return(temp1+temp2+temp3+temp4); #return the det of sigma1 matrix for one exon def myfunc_marginal_sigma1_paired(x, *args): beta1=x[0];beta2=x[1];rho=x[2];var1=x[3];var2=x[4]; I1=args[0];S1=args[1];psi1=args[2]; I2=args[3];S2=args[4];psi2=args[5]; inclusion_length=args[6];skipping_length=args[7]; sigma=matrix([[var1,rho*sqrt(var1)*sqrt(var2)],[rho*sqrt(var1)*sqrt(var2),var2]]); sigma_inv=sigma.getI(); vec=matrix([[logit(psi1)-logit(beta1)],[logit(psi2)-logit(beta2)]]); vec_der=matrix([[1/psi1/(1-psi1)],[1/psi2/(1-psi2)]]); vec_2der=matrix([[(-1+2*psi1)/pow(psi1,2)/pow(1-psi1,2)],[(-1+2*psi2)/pow(psi2,2)/pow(1-psi2,2)]]); new_psi1=inclusion_length*psi1/(inclusion_length*psi1+skipping_length*(1-psi1)); new_psi2=inclusion_length*psi2/(inclusion_length*psi2+skipping_length*(1-psi2)); a_apostrophe=sigma_inv[0,0]*pow(vec_der[0,0],2)+(sigma_inv[0,0]*vec[0,0]+sigma_inv[0,1]*vec[1,0])*vec_2der[0,0]; a_apostrophe+=-1*pow(psi1,-2)+pow(1-psi1,-2); a_apostrophe+=-1*I1*skipping_length*((2*inclusion_length+skipping_length)*psi1+skipping_length*(1-psi1))/pow(psi1,2)/pow(inclusion_length*psi1+skipping_length*(1-psi1),2); a_apostrophe+=-1*S1*inclusion_length*((inclusion_length+2*skipping_length)*(1-psi1)+inclusion_length*psi1)/pow(1-psi1,2)/pow(inclusion_length*psi1+skipping_length*(1-psi1),2); b_apostrophe=sigma_inv[0,1]*vec_der[0,0]*vec_der[1,0]; d_apostrophe=sigma_inv[1,1]*pow(vec_der[1,0],2)+(sigma_inv[1,1]*vec[1,0]+sigma_inv[0,1]*vec[0,0])*vec_2der[1,0]; d_apostrophe+=-1*pow(psi2,-2)+pow(1-psi2,-2); d_apostrophe+=-1*I2*skipping_length*((2*inclusion_length+skipping_length)*psi2+skipping_length*(1-psi2))/pow(psi2,2)/pow(inclusion_length*psi2+skipping_length*(1-psi2),2); d_apostrophe+=-1*S2*inclusion_length*((inclusion_length+2*skipping_length)*(1-psi2)+inclusion_length*psi2)/pow(1-psi2,2)/pow(inclusion_length*psi2+skipping_length*(1-psi2),2); sigma_1=matrix([[a_apostrophe,b_apostrophe],[b_apostrophe,d_apostrophe]]); return(-1*sigma_1); def myfunc_marginal_paired_rho0(x, *args): beta1=x[0];beta2=x[1];rho=0; I1=args[0];S1=args[1];psi1=args[2]; I2=args[3];S2=args[4];psi2=args[5]; inclusion_length=args[6];skipping_length=args[7]; var1=args[8];var2=args[9]; sum=0;temp1=matrix([[1]]);temp2=0; sum_temp1=0;sum_temp2=0; for i in range(len(psi1)): temp1=myfunc_marginal_sigma1_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); temp2=myfunc_marginal_full_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); sum+=(-0.5*log(abs(linalg.det(temp1))+1)+temp2); sum_temp1+=temp1;sum_temp2+=temp2; return(-1*sum); def myfunc_marginal_der_paired_rho0(x, *args): beta1=x[0];beta2=x[1];rho=0; I1=args[0];S1=args[1];psi1=args[2]; I2=args[3];S2=args[4];psi2=args[5]; inclusion_length=args[6];skipping_length=args[7]; var1=args[8];var2=args[9]; sum=array([0.0,0.0]); sum_temp1=array([0.0,0.0]);sum_temp2=array([0.0,0.0]); temp1=0;temp2=0; for i in range(len(psi1)): temp1=myfunc_marginal_sigma1_der_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length,1); temp2=myfunc_marginal_full_der_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); sum_temp1+=temp1[0:2];sum_temp2+=temp2[0:2]; sum=sum+temp1[0:2]+temp2[0:2]; sigma1=myfunc_marginal_sigma1_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); #if len(args)>10: # ofile=open('test_output.txt','a');ofile.write(str(temp1[0])+'\t'+str(temp1[1])+'\t'+str(psi1[i])+'\t'+str(psi2[i])+'\t'+str(linalg.det(sigma1))+'\t'+str(-0.5/(linalg.det(sigma1)+1))+'\t'+str(list(sigma1))+'\n'); return(-1*array(sum)); def myfunc_marginal_paired_rho(x, *args): beta1=x[0];beta2=x[1];rho=x[2]; I1=args[0];S1=args[1];psi1=args[2]; I2=args[3];S2=args[4];psi2=args[5]; inclusion_length=args[6];skipping_length=args[7]; var1=args[8];var2=args[9]; sum=0;temp1=matrix([[1]]);temp2=0; sum_temp1=0;sum_temp2=0; for i in range(len(psi1)): temp1=myfunc_marginal_sigma1_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); temp2=myfunc_marginal_full_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); sum+=(-0.5*log(abs(linalg.det(temp1))+1)+temp2); return(-1*sum); def myfunc_marginal_der_paired_rho(x, *args): beta1=x[0];beta2=x[1];rho=x[2]; I1=args[0];S1=args[1];psi1=args[2]; I2=args[3];S2=args[4];psi2=args[5]; inclusion_length=args[6];skipping_length=args[7]; var1=args[8];var2=args[9]; sum=array([0.0,0.0,0.0]); sum_temp1=array([0.0,0.0,0.0,0.0,0.0]);sum_temp2=array([0.0,0.0,0.0,0.0,0.0]); temp1=0;temp2=0; for i in range(len(psi1)): temp1=myfunc_marginal_sigma1_der_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); temp2=myfunc_marginal_full_der_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); sum=sum+(temp1[0:3]+temp2[0:3]); return(-1*array(sum)); def myfunc_marginal_paired_fixvar(x, *args): beta1=x[0];beta2=x[1]; #beta1=x[0];beta2=args[11]; #beta2=x[0];beta1=args[11]; rho=args[8];var1=args[9];var2=args[10]; I1=args[0];S1=args[1];psi1=args[2]; I2=args[3];S2=args[4];psi2=args[5]; inclusion_length=args[6];skipping_length=args[7]; sum=0;temp1=matrix([[1]]);temp2=0; sum_temp1=0;sum_temp2=0; #print('fixvar_beta1');print(beta1);print('fixvar_beta2');print(beta2); for i in range(len(psi1)): temp1=myfunc_marginal_sigma1_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); temp2=myfunc_marginal_full_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); sum+=(0.5*log(abs(linalg.det(temp1))+1)-temp2); sum_temp1+=temp1;sum_temp2+=temp2; #print('sum_temp1');print(sum_temp1);print('sum_temp2');print(sum_temp2);print('sum');print(sum); return(sum); def myfunc_marginal_der_paired_fixvar(x, *args): beta1=x[0];beta2=x[1]; #beta1=x[0];beta2=args[11]; #beta2=x[0];beta1=args[11]; rho=args[8];var1=args[9];var2=args[10]; I1=args[0];S1=args[1];psi1=args[2]; I2=args[3];S2=args[4];psi2=args[5]; inclusion_length=args[6];skipping_length=args[7]; sum=array([0.0,0.0]); #sum_temp1=array([0.0,0.0,0.0,0.0,0.0]);sum_temp2=array([0.0,0.0,0.0,0.0,0.0]); temp1=0;temp2=0; for i in range(len(psi1)): temp1=myfunc_marginal_sigma1_der_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); temp2=myfunc_marginal_full_der_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); #sum_temp1=sum_temp1-1*temp1;sum_temp2=sum_temp2-1*temp2; sum=sum+(-1*temp1[0:2]-1*temp2[0:2]); #print('sum_temp1_der');print(sum_temp1);print('sum_temp2_der');print(sum_temp2); return(array(sum)); def myfunc_marginal_paired(x, *args): beta1=x[0];beta2=x[1];rho=x[2];var1=x[3];var2=x[4]; I1=args[0];S1=args[1];psi1=args[2]; I2=args[3];S2=args[4];psi2=args[5]; inclusion_length=args[6];skipping_length=args[7]; sum=0;temp1=matrix([[1]]);temp2=0; for i in range(len(psi1)): temp1=myfunc_marginal_sigma1_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); temp2=myfunc_marginal_full_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); sum+=(-0.5*log(abs(linalg.det(temp1))+1)+temp2); return(-1*sum); #END: log Marginal distribution for the paired analysis #START: Derivative of the log Marginal distribution for the paired analysis def myfunc_marginal_full_der_paired(x, *args): beta1=x[0];beta2=x[1];rho=x[2];var1=x[3];var2=x[4]; I1=args[0];S1=args[1];psi1=args[2]; I2=args[3];S2=args[4];psi2=args[5]; inclusion_length=args[6];skipping_length=args[7]; sigma=matrix([[var1,rho*sqrt(var1)*sqrt(var2)],[rho*sqrt(var1)*sqrt(var2),var2]]); sigma_inv=sigma.getI(); vec=matrix([[logit(psi1)-logit(beta1)],[logit(psi2)-logit(beta2)]]); temp=-1*dot(transpose(vec),dot(sigma_inv,matrix([[-1/beta1/(1-beta1),0],[0,-1/beta2/(1-beta2)]]))); temp1=temp[0,0];temp2=temp[0,1]; diag=(-2*rho-1+pow(rho,2))/sqrt(var1)/sqrt(var2); temp3=-0.5*dot(transpose(vec),dot(matrix([[2*rho/var1,diag],[diag,2*rho/var2]]),vec))/pow(1-rho*rho,2)-0.5/linalg.det(sigma)*(-1*var1*var2); #temp4=(-1/pow(var1,2)*pow(vec[0,0],2)+rho/pow(var1,1.5)/pow(var2,0.5)*vec[0,0]*vec[1,0])/(1-rho*rho)+(1-rho*rho)*var2/linalg.det(sigma); #temp5=(-1/pow(var2,2)*pow(vec[1,0],2)+rho/pow(var2,1.5)/pow(var1,0.5)*vec[0,0]*vec[1,0])/(1-rho*rho)+(1-rho*rho)*var1/linalg.det(sigma); return(array([float(temp1),float(temp2),float(temp3)])); def myfunc_marginal_sigma1_der_paired(x, *args): beta1=x[0];beta2=x[1];rho=x[2];var1=x[3];var2=x[4]; I1=args[0];S1=args[1];psi1=args[2]; I2=args[3];S2=args[4];psi2=args[5]; inclusion_length=args[6];skipping_length=args[7]; sigma=matrix([[var1,rho*sqrt(var1)*sqrt(var2)],[rho*sqrt(var1)*sqrt(var2),var2]]); sigma_inv=sigma.getI(); #print('sigma_inv');print(sigma_inv); vec=matrix([[logit(psi1)-logit(beta1)],[logit(psi2)-logit(beta2)]]); vec_der=matrix([[1/psi1/(1-psi1)],[1/psi2/(1-psi2)]]); vec_2der=matrix([[(-1+2*psi1)/pow(psi1,2)/pow(1-psi1,2)],[(-1+2*psi2)/pow(psi2,2)/pow(1-psi2,2)]]); sigma1=myfunc_marginal_sigma1_paired([beta1,beta2,rho,var1,var2],I1,S1,psi1,I2,S2,psi2,inclusion_length,skipping_length); temp1=sigma_inv[0,0]*(-1/beta1/(1-beta1))*vec_2der[0,0]*sigma1[1,1]*(-1)+sigma_inv[0,1]*(-1/beta1/(1-beta1))*vec_2der[1,0]*sigma1[0,0]*(-1); temp2=sigma_inv[1,1]*(-1/beta2/(1-beta2))*vec_2der[1,0]*sigma1[0,0]*(-1)+sigma_inv[0,1]*(-1/beta2/(1-beta2))*vec_2der[0,0]*sigma1[1,1]*(-1); #temp1=(-1/var1/beta1/(1-beta1)*vec_2der[0,0])*sigma1[1,1]/(1-rho*rho)*(-1)-(rho/sqrt(var1)/sqrt(var2)/beta1/(1-beta1)*vec_2der[1,0])*sigma1[0,0]/(1-rho*rho); #temp2=(-1/var2/beta2/(1-beta2)*vec_2der[1,0])*sigma1[0,0]/(1-rho*rho)*(-1)-(rho/sqrt(var1)/sqrt(var2)/beta2/(1-beta2)*vec_2der[0,0])*sigma1[1,1]/(1-rho*rho); temp3=(-1/sqrt(var1)/sqrt(var2)*vec[1,0]*vec_2der[0,0])*sigma1[1,1]/(1-rho*rho)*(-1); temp3+=(-1/sqrt(var1)/sqrt(var2)*vec[0,0]*vec_2der[1,0])*sigma1[0,0]/(1-rho*rho)*(-1); temp3+=-2*(-1/sqrt(var1)/sqrt(var2)*vec_der[0,0]*vec_der[1,0])*sigma1[0,1]/(1-rho*rho)*(-1); temp3+=4*rho/(1-rho*rho)*linalg.det(sigma1); #print('test_der');print(linalg.det(sigma1));print(x);print(-0.5/(linalg.det(sigma1))*array([float(temp1),float(temp2),float(temp3)])); #if len(args)>8: # ofile=open('test_output_2.txt','a');ofile.write(str([float(temp1),float(temp2),float(temp3)])+'\n'); if linalg.det(sigma1)>0: return(-0.5/(linalg.det(sigma1)+1)*array([float(temp1),float(temp2),float(temp3)])); else: return(-0.5/(linalg.det(sigma1)-1)*array([float(temp1),float(temp2),float(temp3)])); def myfunc_marginal_der_paired(x, *args): beta1=x[0];beta2=x[1];rho=x[2];var1=x[3];var2=x[4]; I1=args[0];S1=args[1];psi1=args[2]; I2=args[3];S2=args[4];psi2=args[5]; inclusion_length=args[6];skipping_length=args[7]; sum=array([0.0,0.0,0.0,0.0,0.0]); sum_temp1=array([0.0,0.0,0.0,0.0,0.0]);sum_temp2=array([0.0,0.0,0.0,0.0,0.0]); temp1=0;temp2=0; for i in range(len(psi1)): temp1=myfunc_marginal_sigma1_der_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); temp2=myfunc_marginal_full_der_paired([beta1,beta2,rho,var1,var2],I1[i],S1[i],psi1[i],I2[i],S2[i],psi2[i],inclusion_length,skipping_length); sum_temp1=sum_temp1-1*temp1;sum_temp2=sum_temp2-1*temp2; sum=sum+(-1*temp1-1*temp2); return(array(sum[0:5])); #END: Derivative of the log Marginal distribution for the paired analysis #START: log-likelihood function of each individual replicate def myfunc_individual_paired(x, *args): psi1=x[0];psi2=x[1]; I1=args[0];S1=args[1];beta1=args[2];var1=args[3]; I2=args[4];S2=args[5];beta2=args[6];var2=args[7]; inclusion_length=args[8];skipping_length=args[9]; rho=args[10]; temp=myfunc_marginal_full_paired([beta1,beta2,rho,var1,var2],I1,S1,psi1,I2,S2,psi2,inclusion_length,skipping_length); return(-1*temp); def myfunc_individual_der_paired(x,*args): psi1=x[0];psi2=x[1]; I1=args[0];S1=args[1];beta1=args[2];var1=args[3]; I2=args[4];S2=args[5];beta2=args[6];var2=args[7]; inclusion_length=args[8];skipping_length=args[9]; rho=args[10]; sigma=matrix([[var1,rho*sqrt(var1)*sqrt(var2)],[rho*sqrt(var1)*sqrt(var2),var2]]); sigma_inv=sigma.getI(); vec=matrix([[logit(psi1)-logit(beta1)],[logit(psi2)-logit(beta2)]]); vec_der=matrix([[1/psi1/(1-psi1)],[1/psi2/(1-psi2)]]); new_psi1=inclusion_length*psi1/(inclusion_length*psi1+skipping_length*(1-psi1)); new_psi1_der=inclusion_length*skipping_length/pow(inclusion_length*psi1+skipping_length*(1-psi1),2); new_psi2=inclusion_length*psi2/(inclusion_length*psi2+skipping_length*(1-psi2)); new_psi2_der=inclusion_length*skipping_length/pow(inclusion_length*psi2+skipping_length*(1-psi2),2); temp1=0;temp2=0; temp1+=-1*(sigma_inv[0,0]*vec[0,0]*vec_der[0,0]+sigma_inv[0,1]*vec_der[0,0]*vec[1,0]); temp1+=1*(I1/new_psi1*new_psi1_der-S1/(1-new_psi1)*new_psi1_der+1/psi1-1/(1-psi1)); temp2+=-1*(sigma_inv[1,1]*vec[1,0]*vec_der[1,0]+sigma_inv[0,1]*vec_der[1,0]*vec[0,0]); temp2+=1*(I2/new_psi2*new_psi2_der-S2/(1-new_psi2)*new_psi2_der+1/psi2-1/(1-psi2)); return(-1*array([temp1,temp2])); #END: log-likelihood function of each individual replicate def myfunc_multivar(x,*args): psi1=args[0];psi2=args[1];var1=args[2];var2=args[3]; #print('psi1');print(psi1);print('psi2');print(psi2); sum1=0;sum2=0; for i in psi1: sum1+=pow(logit(i)-logit(x[0]),2); sum1=sum1/var1/2; for i in psi2: sum2+=pow(logit(i)-logit(x[1]),2); sum2=sum2/var2/2; return(sum1+sum2+0.1*0.5*(pow(rho,2))/(1-pow(rho,2))*(pow(stats.norm.ppf(x[0]),2)+pow(stats.norm.ppf(x[1]),2)-2*rho*stats.norm.ppf(x[0])*stats.norm.ppf(x[1]))); def myfunc_multivar_der(x,*args): psi1=args[0];psi2=args[1];var1=args[2];var2=args[3]; sum1=0;sum2=0; for i in psi1: sum1+=-2*(logit(i)-logit(x[0]))/x[0]/(1-x[0]); sum1=sum1/var1/2; res1=sum1+0.1*0.5*(pow(rho,2))/(1-pow(rho,2))*(2*stats.norm.ppf(x[0])-2*rho*stats.norm.ppf(x[1]))/stats.norm.pdf(stats.norm.ppf(x[0])); #print('1');print(x[1]);print(res1);print(stats.norm.pdf(stats.norm.ppf(x[0]))); for i in psi2: sum2+=-2*(logit(i)-logit(x[1]))/x[1]/(1-x[1]); sum2=sum2/var2/2; res2=sum2+0.1*0.5*(pow(rho,2))/(1-pow(rho,2))*(2*stats.norm.ppf(x[1])-2*rho*stats.norm.ppf(x[0]))/stats.norm.pdf(stats.norm.ppf(x[1])); return(numpy.array([res1,res2])); def myfunc_1(x, *args): psi1=args[0];psi2=args[1];var1=args[2];var2=args[3]; sum1=0;sum2=0; for i in psi1: sum1+=pow(logit(i)-logit(x+cutoff),2); sum1=sum1/var1/2; for i in psi2: sum2+=pow(logit(i)-logit(x),2); sum2=sum2/var2/2; return(sum1+sum2+0.1*0.5*(pow(rho,2))/(1-pow(rho,2))*(pow(stats.norm.ppf(x+cutoff),2)+pow(stats.norm.ppf(x),2)-2*rho*stats.norm.ppf(x+cutoff)*stats.norm.ppf(x))); def myfunc_der_1(x, *args): psi1=args[0];psi2=args[1];var1=args[2];var2=args[3]; sum1=0;sum2=0; for i in psi1: sum1+=-2*(logit(i)-logit(x+cutoff))/(x+cutoff)/(1-x-cutoff); sum1=sum1/var1/2; res1=sum1+0.1*0.5*(pow(rho,2))/(1-pow(rho,2))*(2*stats.norm.ppf(x+cutoff)-2*rho*stats.norm.ppf(x))/stats.norm.pdf(stats.norm.ppf(x+cutoff)); for i in psi2: sum2+=-2*(logit(i)-logit(x))/x/(1-x); sum2=sum2/var2/2; res2=sum2+0.1*0.5*(pow(rho,2))/(1-pow(rho,2))*(2*stats.norm.ppf(x)-2*rho*stats.norm.ppf(x+cutoff))/stats.norm.pdf(stats.norm.ppf(x)); return(res1+res2); def myfunc_2(x, *args): psi1=args[0];psi2=args[1];var1=args[2];var2=args[3]; sum1=0;sum2=0; for i in psi1: sum1+=pow(logit(i)-logit(x),2); sum1=sum1/var1/2; for i in psi2: sum2+=pow(logit(i)-logit(x+cutoff),2); sum2=sum2/var2/2; return(sum1+sum2+0.1*0.5*(pow(rho,2))/(1-pow(rho,2))*(pow(stats.norm.ppf(x+cutoff),2)+pow(stats.norm.ppf(x),2)-2*rho*stats.norm.ppf(x+cutoff)*stats.norm.ppf(x))); def myfunc_der_2(x, *args): psi1=args[0];psi2=args[1];var1=args[2];var2=args[3]; sum1=0;sum2=0; for i in psi1: sum1+=-2*(logit(i)-logit(x))/(x)/(1-x); sum1=sum1/var1/2; res1=sum1+0.1*0.5*(pow(rho,2))/(1-pow(rho,2))*(2*stats.norm.ppf(x+cutoff)-2*rho*stats.norm.ppf(x))/stats.norm.pdf(stats.norm.ppf(x+cutoff)); for i in psi2: sum2+=-2*(logit(i)-logit(x+cutoff))/(x+cutoff)/(1-x-cutoff); sum2=sum2/var2/2; res2=sum2+0.1*0.5*(pow(rho,2))/(1-pow(rho,2))*(2*stats.norm.ppf(x)-2*rho*stats.norm.ppf(x+cutoff))/stats.norm.pdf(stats.norm.ppf(x)); return(res1+res2); def myfunc_marginal_2der(x, args): I=args[0];S=args[1];beta=args[2];var=args[3]; inclusion_length=args[4]; skipping_length=args[5] temp1=1/pow(x,2)/pow(1-x,2)*(((2*x-1)*(logit(beta)-logit(x))-1)/var-1);#temp1=(2*x-1)/pow(x,2)/pow(1-x,2)*((logit(beta)-logit(x)-1/(2*x-1))/var+1); temp2=I*skipping_length*((2*inclusion_length+skipping_length)*x+skipping_length*(1-x))/pow(x,2)/pow(inclusion_length*x+skipping_length*(1-x),2); temp3=S*inclusion_length*((inclusion_length+2*skipping_length)*(1-x)+inclusion_length*x)/pow(1-x,2)/pow(inclusion_length*x+skipping_length*(1-x),2); #print('test');print(beta);print(x);print(var);print(temp1);print(temp2);print(temp3); return(temp1-temp2-temp3); def myfunc_marginal(x, *args): beta=x; I=args[0];S=args[1];psi=args[2];var=args[3]; inclusion_length=args[4];skipping_length=args[5]; sum=0;temp1=0;temp2=0; for i in range(len(psi)): new_psi=inclusion_length*psi[i]/(inclusion_length*psi[i]+skipping_length*(1-psi[i])); f1=I[i]*log(new_psi)+S[i]*log(1-new_psi)-pow(logit(psi[i])-logit(beta),2)/2/var-log(psi[i])-log(1-psi[i]); temp2+=-1*f1; f1_2der=abs(myfunc_marginal_2der(psi[i],[I[i],S[i],beta,var,inclusion_length,skipping_length])); temp1+=0.5*log(abs(f1_2der)); sum+=(0.5*log(abs(f1_2der)+0.00001)-f1); #print('test_temp1');print(temp1);print(temp2); return(sum); def myfunc_marginal_der(x, *args): beta=x; I=args[0];S=args[1];psi=args[2];var=args[3]; inclusion_length=args[4];skipping_length=args[5]; sum=0; for i in range(len(psi)): new_psi=inclusion_length*psi[i]/(inclusion_length*psi[i]+skipping_length*(1-psi[i])); f1_3der=1*(2*psi[i]-1)/pow(psi[i],2)/pow(1-psi[i],2)/beta/(1-beta)/var; f1_2der=myfunc_marginal_2der(psi[i],[I[i],S[i],beta,var,inclusion_length,skipping_length]); #print('test2');print(f1_2der); f1_der=(logit(psi[i])-logit(beta))/beta/(1-beta)/var; f1=I[i]*log(new_psi)+S[i]*log(1-new_psi)-pow(logit(psi[i])-logit(beta),2)/2/var+log(psi[i])+log(1-psi[i]); sum+=(0.5*f1_3der/(f1_2der)-f1_der); return(sum); def myfunc_marginal_1(x, *args): beta2=x;beta1=x+cutoff; I1=args[0];S1=args[1];psi1=args[2];var1=args[3]; I2=args[4];S2=args[5];psi2=args[6];var2=args[7]; inclusion_length=args[8];skipping_length=args[9]; return(myfunc_marginal(beta1,I1,S1,psi1,var1,inclusion_length,skipping_length)+myfunc_marginal(beta2,I2,S2,psi2,var2,inclusion_length,skipping_length)); def myfunc_marginal_1_der(x, *args): beta2=x;beta1=x+cutoff; I1=args[0];S1=args[1];psi1=args[2];var1=args[3]; I2=args[4];S2=args[5];psi2=args[6];var2=args[7]; inclusion_length=args[8];skipping_length=args[9]; return(myfunc_marginal_der(beta1,I1,S1,psi1,var1,inclusion_length,skipping_length)+myfunc_marginal_der(beta2,I2,S2,psi2,var2,inclusion_length,skipping_length)); def myfunc_marginal_2(x, *args): beta2=x+cutoff;beta1=x; I1=args[0];S1=args[1];psi1=args[2];var1=args[3]; I2=args[4];S2=args[5];psi2=args[6];var2=args[7]; inclusion_length=args[8];skipping_length=args[9]; return(myfunc_marginal(beta1,I1,S1,psi1,var1,inclusion_length,skipping_length)+myfunc_marginal(beta2,I2,S2,psi2,var2,inclusion_length,skipping_length)); def myfunc_marginal_2_der(x, *args): beta2=x+cutoff;beta1=x; I1=args[0];S1=args[1];psi1=args[2];var1=args[3]; I2=args[4];S2=args[5];psi2=args[6];var2=args[7]; inclusion_length=args[8];skipping_length=args[9]; return(myfunc_marginal_der(beta1,I1,S1,psi1,var1,inclusion_length,skipping_length)+myfunc_marginal_der(beta2,I2,S2,psi2,var2,inclusion_length,skipping_length)); def myfunc_individual(x,*args): I=args[0];S=args[1];beta=args[2];var=args[3]; inclusion_length=args[4]; skipping_length=args[5] new_psi=inclusion_length*x/(inclusion_length*x+skipping_length*(1-x)); return(-1*(I*log(new_psi)+S*log(1-new_psi)-(logit(x)-logit(beta))*(logit(x)-logit(beta))/2/var-log(x)-log(1-x))); def myfunc_individual_der(x,*args): I=args[0];S=args[1];beta=args[2];var=args[3]; inclusion_length=args[4]; skipping_length=args[5]; new_psi=inclusion_length*x/(inclusion_length*x+skipping_length*(1-x)); new_psi_der=inclusion_length*skipping_length/pow(inclusion_length*x+skipping_length*(1-x),2); return(-1*(I/new_psi*new_psi_der-S/(1-new_psi)*new_psi_der-(logit(x)-logit(beta))/var/x/(1-x)-1/x+1/(1-x) )); def myfunc_likelihood(x, args): I=args[0];S=args[1];beta=args[2];var=args[3];sum=0;N=I+S; #return(-1*(-log(sqrt((I+S)*x*(1-x)))-(I-(I+S)*x)*(I-(I+S)*x)/2/((I+S)*x*(1-x))-log(sqrt(var))-(x-beta)*(x-beta)/2/var)); #print('debug');print(N);print(var);print(x);print(beta); if N==0: return(0); return(-0.5*((I-N*x)*(I-N*x)/(N*x)+(S-N*(1-x))*(S-N*(1-x))/(N*(1-x)))-log(sqrt(var))-(x-beta)*(x-beta)/2/var); def MLE_iteration_constrain(i1,i2,s1,s2,effective_inclusion_length,effective_skipping_length): psi1=vec2psi(i1,s1,effective_inclusion_length,effective_skipping_length);psi2=vec2psi(i2,s2,effective_inclusion_length,effective_skipping_length); iter_cutoff=1;iter_maxrun=100;count=0;previous_sum=0; beta_0=sum(psi1)/len(psi1); beta_1=sum(psi2)/len(psi2); var1=10*scipy.var(numpy.array(psi1)-beta_0); var2=10*scipy.var(numpy.array(psi2)-beta_1); if var1<=0.01: var1=0.01; if var2<=0.01: var2=0.01; print('var1');print(var1);print('var2');print(var2); while((iter_cutoff>0.01)&(count<=iter_maxrun)): count+=1; #iteration of beta beta_0=sum(psi1)/len(psi1); beta_1=sum(psi2)/len(psi2); print('var1');print(var1);print('var2');print(var2); #if abs(sum(psi1)/len(psi1)-sum(psi2)/len(psi2))>cutoff: if (sum(psi1)/len(psi1))>(sum(psi2)/len(psi2)):#minize psi2 if this is the case xopt = fmin_l_bfgs_b(myfunc_1,[sum(psi2)/len(psi2)],myfunc_der_1,args=[psi1,psi2,var1,var2],bounds=[[0.001,0.999-cutoff]],iprint=-1) theta2 = max(min(float(xopt[0]),1-cutoff),0);theta1=theta2+cutoff; else:#minize psi1 if this is the case xopt = fmin_l_bfgs_b(myfunc_2,[sum(psi1)/len(psi1)],myfunc_der_2,args=[psi1,psi2,var1,var2],bounds=[[0.001,0.999-cutoff]],iprint=-1) theta1 = max(min(float(xopt[0]),1-cutoff),0);theta2=theta1+cutoff; print('constrain_1xopt');print('theta');print(theta1);print(theta2);print(xopt); #else: # theta1=sum(psi1)/len(psi1);theta2=sum(psi2)/len(psi2); beta_0=theta1;beta_1=theta2; #iteration of psi new_psi1=[];new_psi2=[];current_sum=0;likelihood_sum=0; print('constrain_2xopt'); for i in range(len(psi1)): xopt = fmin_l_bfgs_b(myfunc_individual,[psi1[i]],myfunc_individual_der,args=[i1[i],s1[i],beta_0,var1,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); new_psi1.append(float(xopt[0]));current_sum+=float(xopt[1]);print(xopt); #likelihood_sum+=myfunc_marginal(new_psi1[i],[i1[i],s1[i],beta_0,var1,effective_inclusion_length,effective_skipping_length]); for i in range(len(psi2)): xopt = fmin_l_bfgs_b(myfunc_individual,[psi2[i]],myfunc_individual_der,args=[i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); new_psi2.append(float(xopt[0]));current_sum+=float(xopt[1]);print(xopt); #likelihood_sum+=myfunc_marginal(new_psi2[i],[i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length]); print('new_psi[0]');print(new_psi1[0]);print(new_psi2[0]); psi1=new_psi1;psi2=new_psi2; print('count');print(count);print('previous_sum');print(previous_sum);print('current_sum');print(current_sum); if count>1: iter_cutoff=abs(previous_sum-current_sum); previous_sum=current_sum; #print('constrain');print(theta1);print(theta2);print(psi1);print(psi2);print(current_sum);print(likelihood_sum); #print(xopt); return([current_sum,[psi1,psi2,beta_0,beta_1,var1,var2]]); #return([likelihood_sum,[psi1,psi2,beta_0,beta_1,var1,var2]]); def MLE_iteration(i1,i2,s1,s2,effective_inclusion_length,effective_skipping_length): psi1=vec2psi(i1,s1,effective_inclusion_length,effective_skipping_length);psi2=vec2psi(i2,s2,effective_inclusion_length,effective_skipping_length); iter_cutoff=1;iter_maxrun=100;count=0;previous_sum=0; beta_0=sum(psi1)/len(psi1); beta_1=sum(psi2)/len(psi2); var1=10*scipy.var(numpy.array(psi1)-beta_0); var2=10*scipy.var(numpy.array(psi2)-beta_1); if var1<=0.01: var1=0.01; if var2<=0.01: var2=0.01; print('var1');print(var1);print('var2');print(var2); while((iter_cutoff>0.01)&(count<=iter_maxrun)): count+=1; #iteration of beta beta_0=sum(psi1)/len(psi1); beta_1=sum(psi2)/len(psi2); xopt=fmin_l_bfgs_b(myfunc_multivar,[beta_0,beta_1],myfunc_multivar_der,args=[psi1,psi2,var1,var2],bounds=[[0.01,0.99],[0.01,0.99]],iprint=-1); beta_0=float(xopt[0][0]); beta_1=float(xopt[0][1]); print('unconstrain_1xopt');print(xopt); print('theta');print(beta_0);print(beta_1);print('theta_end'); #iteration of psi new_psi1=[];new_psi2=[];current_sum=0;likelihood_sum=0; for i in range(len(psi1)): xopt = fmin_l_bfgs_b(myfunc_individual,[psi1[i]],myfunc_individual_der,args=[i1[i],s1[i],beta_0,var1,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); new_psi1.append(float(xopt[0]));current_sum+=float(xopt[1]);print(xopt); #likelihood_sum+=myfunc_marginal(new_psi1[i],[i1[i],s1[i],beta_0,var1,effective_inclusion_length,effective_skipping_length]); for i in range(len(psi2)): xopt = fmin_l_bfgs_b(myfunc_individual,[psi2[i]],myfunc_individual_der,args=[i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); new_psi2.append(float(xopt[0]));current_sum+=float(xopt[1]);print(xopt); #likelihood_sum+=myfunc_marginal(new_psi2[i],[i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length]); print('new_psi[0]');print(new_psi1[0]);print(new_psi2[0]); psi1=new_psi1;psi2=new_psi2;print print('count');print(count);('previous_sum');print(previous_sum);print('current_sum');print(current_sum); if count>1: iter_cutoff=abs(previous_sum-current_sum); previous_sum=current_sum; #print('unconstrain');print(beta_0);print(beta_0+beta_1);print(psi1);print(psi2);print(current_sum);print(likelihood_sum); #print(xopt); if count>iter_maxrun: return([current_sum,[psi1,psi2,0,0,var1,var2]]); return([current_sum,[psi1,psi2,beta_0,beta_1,var1,var2]]); #return([likelihood_sum,[psi1,psi2,beta_0,beta_1,var1,var2]]); def MLE_marginal_iteration(i1,i2,s1,s2,effective_inclusion_length,effective_skipping_length): #initial value psi1=vec2psi(i1,s1,effective_inclusion_length,effective_skipping_length);psi2=vec2psi(i2,s2,effective_inclusion_length,effective_skipping_length); iter_cutoff=1;iter_maxrun=100;count=0;previous_sum=0; beta_0=sum(psi1)/len(psi1); beta_1=sum(psi2)/len(psi2); #var1=scipy.var(numpy.array(veclogit(psi1))); #var2=scipy.var(numpy.array(veclogit(psi2))); var1=scipy.var(numpy.array(psi1)-beta_0); var2=scipy.var(numpy.array(psi2)-beta_1); if var1<=0.01: var1=0.01; if var2<=0.01: var2=0.01; print('var1');print(var1);print('var2');print(var2); #MLE of the full likelihood while((iter_cutoff>0.01)&(count<=iter_maxrun)): count+=1; #iteration of beta beta_0=sum(psi1)/len(psi1); beta_1=sum(psi2)/len(psi2); xopt=fmin_l_bfgs_b(myfunc_multivar,[beta_0,beta_1],myfunc_multivar_der,args=[psi1,psi2,var1,var2],bounds=[[0.01,0.99],[0.01,0.99]],iprint=-1); beta_0=float(xopt[0][0]); beta_1=float(xopt[0][1]); print('unconstrain_MLE_xopt');print(xopt); print('theta');print(beta_0);print(beta_1);print('theta_end'); #iteration of psi new_psi1=[];new_psi2=[];current_sum=0;likelihood_sum=0; for i in range(len(psi1)): xopt = fmin_l_bfgs_b(myfunc_individual,[psi1[i]],myfunc_individual_der,args=[i1[i],s1[i],beta_0,var1,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); new_psi1.append(float(xopt[0]));current_sum+=float(xopt[1]); #likelihood_sum+=myfunc_marginal(new_psi1[i],[i1[i],s1[i],beta_0,var1,effective_inclusion_length,effective_skipping_length]); for i in range(len(psi2)): xopt = fmin_l_bfgs_b(myfunc_individual,[psi2[i]],myfunc_individual_der,args=[i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); new_psi2.append(float(xopt[0]));current_sum+=float(xopt[1]); #likelihood_sum+=myfunc_marginal(new_psi2[i],[i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length]); print('new_psi[0]');print(new_psi1[0]);print(new_psi2[0]); psi1=new_psi1;psi2=new_psi2; print('count');print(count);print('previous_sum');print(previous_sum);print('current_sum');print(current_sum); if count>1: iter_cutoff=abs(previous_sum-current_sum); previous_sum=current_sum; #print('unconstrain');print(beta_0);print(beta_0+beta_1);print(psi1);print(psi2);print(current_sum);print(likelihood_sum); print('unconstrain_psi_MLE');print(psi1);print(psi2); print('unconstrain_beta_MLE');print(beta_0);print(beta_1); if count>iter_maxrun: return([current_sum,[psi1,psi2,0,0,var1,var2,0]]); #MLE of the marginal likelihood iter_cutoff=1;iter_maxrun=100;count=0;previous_sum=0; while((iter_cutoff>0.01)&(count<=iter_maxrun)): count+=1; #print('unconstrain_MLE_marginal_value_1');print(myfunc_marginal(0.51,i1,s1,psi1,var1,effective_inclusion_length,effective_skipping_length)); #print('unconstrain_MLE_marginal_value_2');print(myfunc_marginal(0.56,i2,s2,psi2,var2,effective_inclusion_length,effective_skipping_length)); #exit(); xopt1=fmin_l_bfgs_b(myfunc_marginal,[beta_0],myfunc_marginal_der,args=[i1,s1,psi1,var1,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); xopt2=fmin_l_bfgs_b(myfunc_marginal,[beta_1],myfunc_marginal_der,args=[i2,s2,psi2,var2,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); beta_0=float(xopt1[0][0]); beta_1=float(xopt2[0][0]); if re.findall('\d+',str(xopt1[2]))[0]!='0': return([current_sum,[psi1,psi2,0,0,var1,var2,0]]); if re.findall('\d+',str(xopt2[2]))[0]!='0': return([current_sum,[psi1,psi2,0,0,var1,var2,0]]); print('unconstrain_1xopt');print(xopt1); print('unconstrain_2xopt');print(xopt2); new_psi1=[];new_psi2=[];current_sum=0;likelihood_sum=0; for i in range(len(psi1)): xopt = fmin_l_bfgs_b(myfunc_individual,[psi1[i]],myfunc_individual_der,args=[i1[i],s1[i],beta_0,var1,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); new_psi1.append(float(xopt[0]));current_sum+=float(xopt[1]); for i in range(len(psi2)): xopt = fmin_l_bfgs_b(myfunc_individual,[psi2[i]],myfunc_individual_der,args=[i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); new_psi2.append(float(xopt[0]));current_sum+=float(xopt[1]); if re.findall('\d+',str(xopt[2]))[0]!='0': return([current_sum,[psi1,psi2,0,0,var1,var2,0]]); psi1=new_psi1;psi2=new_psi2; if count>1: iter_cutoff=abs(previous_sum-current_sum); previous_sum=current_sum; cor=max(min(stats.pearsonr(psi1,psi2)[0],0.9),-0.9); if math.isnan(cor): cor=0; if count>iter_maxrun: return([current_sum,[psi1,psi2,0,0,var1,var2,cor]]); return([current_sum,[psi1,psi2,beta_0,beta_1,var1,var2,cor]]); def MLE_marginal_iteration_constrain(i1,i2,s1,s2,effective_inclusion_length,effective_skipping_length): #initial value psi1=vec2psi(i1,s1,effective_inclusion_length,effective_skipping_length);psi2=vec2psi(i2,s2,effective_inclusion_length,effective_skipping_length); iter_cutoff=1;iter_maxrun=100;count=0;previous_sum=0; beta_0=sum(psi1)/len(psi1); beta_1=sum(psi2)/len(psi2); #var1=scipy.var(numpy.array(veclogit(psi1))); #var2=scipy.var(numpy.array(veclogit(psi2))); var1=scipy.var(numpy.array(psi1)-beta_0); var2=scipy.var(numpy.array(psi2)-beta_1); if var1<=0.01: var1=0.01; if var2<=0.01: var2=0.01; print('var1');print(var1);print('var2');print(var2); #MLE of the full likelihood while((iter_cutoff>0.01)&(count<=iter_maxrun)): count+=1; #iteration of beta beta_0=sum(psi1)/len(psi1); beta_1=sum(psi2)/len(psi2); print('var1');print(var1);print('var2');print(var2); #if abs(sum(psi1)/len(psi1)-sum(psi2)/len(psi2))>cutoff: if (sum(psi1)/len(psi1))>(sum(psi2)/len(psi2)):#minize psi2 if this is the case xopt = fmin_l_bfgs_b(myfunc_1,[sum(psi2)/len(psi2)],myfunc_der_1,args=[psi1,psi2,var1,var2],bounds=[[0.001,0.999-cutoff]],iprint=-1) theta2 = max(min(float(xopt[0]),1-cutoff),0);theta1=theta2+cutoff; else:#minize psi1 if this is the case xopt = fmin_l_bfgs_b(myfunc_2,[sum(psi1)/len(psi1)],myfunc_der_2,args=[psi1,psi2,var1,var2],bounds=[[0.001,0.999-cutoff]],iprint=-1) theta1 = max(min(float(xopt[0]),1-cutoff),0);theta2=theta1+cutoff; print('constrain_1xopt');print('theta');print(theta1);print(theta2);print(xopt); #else: # theta1=sum(psi1)/len(psi1);theta2=sum(psi2)/len(psi2); beta_0=theta1;beta_1=theta2; #iteration of psi new_psi1=[];new_psi2=[];current_sum=0;likelihood_sum=0; print('constrain_2xopt'); for i in range(len(psi1)): xopt = fmin_l_bfgs_b(myfunc_individual,[psi1[i]],myfunc_individual_der,args=[i1[i],s1[i],beta_0,var1,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); new_psi1.append(float(xopt[0]));current_sum+=float(xopt[1]);print(xopt); #likelihood_sum+=myfunc_marginal(new_psi1[i],[i1[i],s1[i],beta_0,var1,effective_inclusion_length,effective_skipping_length]); for i in range(len(psi2)): xopt = fmin_l_bfgs_b(myfunc_individual,[psi2[i]],myfunc_individual_der,args=[i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); new_psi2.append(float(xopt[0]));current_sum+=float(xopt[1]);print(xopt); #likelihood_sum+=myfunc_marginal(new_psi2[i],[i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length]); print('new_psi[0]');print(new_psi1[0]);print(new_psi2[0]); psi1=new_psi1;psi2=new_psi2; print('count');print(count);print('previous_sum');print(previous_sum);print('current_sum');print(current_sum); if count>1: iter_cutoff=abs(previous_sum-current_sum); previous_sum=current_sum; if count>iter_maxrun: return([current_sum,[psi1,psi2,0,0,var1,var2]]); #print('constrain');print(theta1);print(theta2);print(psi1);print(psi2);print(current_sum);print(likelihood_sum); #print(xopt); #MLE of the marginal likelihood iter_cutoff=1;iter_maxrun=100;count=0;previous_sum=0; while((iter_cutoff>0.01)&(count<=iter_maxrun)): count+=1; if (sum(psi1)/len(psi1))>(sum(psi2)/len(psi2)):#minize psi2 if this is the case xopt = fmin_l_bfgs_b(myfunc_marginal_1,[beta_1],myfunc_marginal_1_der,args=[i1,s1,psi1,var1,i2,s2,psi2,var2,effective_inclusion_length,effective_skipping_length],bounds=[[0.001,0.999-cutoff]],iprint=-1) beta_1 = max(min(float(xopt[0]),1-cutoff),0);beta_0=beta_1+cutoff; else:#minize psi1 if this is the case xopt = fmin_l_bfgs_b(myfunc_marginal_2,[beta_0],myfunc_marginal_2_der,args=[i1,s1,psi1,var1,i2,s2,psi2,var2,effective_inclusion_length,effective_skipping_length],bounds=[[0.001,0.999-cutoff]],iprint=-1) beta_0 = max(min(float(xopt[0]),1-cutoff),0);beta_1=beta_0+cutoff; if re.findall('\d+',str(xopt[2]))[0]!='0': return([current_sum,[psi1,psi2,0,0,var1,var2]]); print('constrain_xopt');print(xopt); new_psi1=[];new_psi2=[];current_sum=0;likelihood_sum=0; for i in range(len(psi1)): xopt = fmin_l_bfgs_b(myfunc_individual,[psi1[i]],myfunc_individual_der,args=[i1[i],s1[i],beta_0,var1,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); new_psi1.append(float(xopt[0]));current_sum+=float(xopt[1]);print(xopt); for i in range(len(psi2)): xopt = fmin_l_bfgs_b(myfunc_individual,[psi2[i]],myfunc_individual_der,args=[i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length],bounds=[[0.01,0.99]],iprint=-1); new_psi2.append(float(xopt[0]));current_sum+=float(xopt[1]);print(xopt); if re.findall('\d+',str(xopt[2]))[0]!='0': return([current_sum,[psi1,psi2,0,0,var1,var2]]); psi1=new_psi1;psi2=new_psi2; if count>1: iter_cutoff=abs(previous_sum-current_sum); previous_sum=current_sum; if count>iter_maxrun: return([current_sum,[psi1,psi2,0,0,var1,var2]]); return([current_sum,[psi1,psi2,beta_0,beta_1,var1,var2]]); #return([likelihood_sum,[psi1,psi2,beta_0,beta_1,var1,var2]]); def MLE_marginal_iteration_paired(i1,i2,s1,s2,effective_inclusion_length,effective_skipping_length): #initial value psi1=vec2psi(i1,s1,effective_inclusion_length,effective_skipping_length);psi2=vec2psi(i2,s2,effective_inclusion_length,effective_skipping_length); beta_0=sum(psi1)/len(psi1); beta_1=sum(psi2)/len(psi2); var1=scipy.var(numpy.array(veclogit(psi1))); var2=scipy.var(numpy.array(veclogit(psi2))); #print('psi_start');print(psi1);print(psi2); #print('beta_start');print(beta_0);print(beta_1); if var1<=0.01: var1=0.01; if var2<=0.01: var2=0.01; #MLE of the marginal likelihood iter_cutoff=1;iter_maxrun=40;count=0;previous_sum=1;current_sum=1;likelihood_sum=0; flag=0;rho=0.0;flag_xopt=0; while(((iter_cutoff/previous_sum>0.001)&(count<=iter_maxrun))): count+=1; #print('unconstrain_MLE_marginal_value_1_der');print(myfunc_marginal_der_paired([beta_0,beta_1,rho,var1,var2],i1,s1,psi1,i2,s2,psi2,effective_inclusion_length,effective_skipping_length)); if (iter_cutoff/previous_sum>0.1) & (flag==0): print('condition1'); if rho_flag==0: xopt=fmin_l_bfgs_b(myfunc_marginal_paired_rho,[beta_0,beta_1,rho],myfunc_marginal_der_paired_rho,args=[i1,s1,psi1,i2,s2,psi2,effective_inclusion_length,effective_skipping_length,var1,var2],bounds=[[pow(10,-3),1-pow(10,-3)],[pow(10,-3),1-pow(10,-3)],[0,0.9]],iprint=-1); print('unconstrain_MLE_marginal_xopt_mean');print(xopt); if xopt[2]['warnflag']!=0: flag=1;continue; else: flag_xopt=1; rho=float(xopt[0][2]); if rho_flag==1: xopt=fmin_l_bfgs_b(myfunc_marginal_paired_rho0,[beta_0,beta_1],myfunc_marginal_der_paired_rho0,args=[i1,s1,psi1,i2,s2,psi2,effective_inclusion_length,effective_skipping_length,var1,var2],bounds=[[pow(10,-3),1-pow(10,-3)],[pow(10,-3),1-pow(10,-3)]],iprint=-1); print('unconstrain_MLE_marginal_xopt_mean_rho0');print(xopt); if xopt[2]['warnflag']!=0: flag=1;continue; else: flag_xopt=1; else: flag=1; xopt=fmin_l_bfgs_b(myfunc_marginal_paired_fixvar,[beta_0, beta_1],myfunc_marginal_der_paired_fixvar,args=[i1,s1,psi1,i2,s2,psi2,effective_inclusion_length,effective_skipping_length,rho,var1,var2],bounds=[[pow(10,-3),1-pow(10,-3)],[pow(10,-3),1-pow(10,-3)]],iprint=-1); #xopt=fmin_l_bfgs_b(myfunc_marginal_paired_fixvar,[beta_0],myfunc_marginal_der_paired_fixvar,args=[i1,s1,psi1,i2,s2,psi2,effective_inclusion_length,effective_skipping_length,rho,var1,var2,beta_1],bounds=[[pow(10,-3),1-pow(10,-3)]],iprint=-1); #xopt=fmin_l_bfgs_b(myfunc_marginal_paired_fixvar,[beta_1],myfunc_marginal_der_paired_fixvar,args=[i1,s1,psi1,i2,s2,psi2,effective_inclusion_length,effective_skipping_length,rho,var1,var2,beta_0],bounds=[[pow(10,-3),1-pow(10,-3)]],iprint=-1); print('unconstrain_MLE_marginal_xopt_mean_fixvar');print(xopt); beta_0=float(xopt[0][0]);beta_1=float(xopt[0][1]); current_sum=float(xopt[1]); if xopt[2]['warnflag']!=0: return([current_sum,[psi1,psi2,beta_0,beta_1,var1,var2,rho,flag_xopt]]); else: flag_xopt=1; new_psi1=[];new_psi2=[]; for i in range(len(psi1)): xopt = fmin_l_bfgs_b(myfunc_individual_paired,[psi1[i],psi2[i]],myfunc_individual_der_paired,args=[i1[i],s1[i],beta_0,var1,i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length,rho],bounds=[[pow(10,-3),1-pow(10,-3)],[pow(10,-3),1-pow(10,-3)]],iprint=-1); new_psi1.append(float(xopt[0][0]));new_psi2.append(float(xopt[0][1])); #current_sum+=float(xopt[1]); print('unconstrain_MLE_marginal_xopt_replicate');print(xopt); # print('unconstrain_MLE_marginal_xopt_replicate_test1');print(myfunc_individual_paired([new_psi1[i],new_psi2[i]],i1[i],s1[i],beta_0,var1,i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length,rho)); # print('unconstrain_MLE_marginal_xopt_replicate_test2');print(myfunc_individual_paired([psi1[i],psi2[i]],i1[i],s1[i],beta_0,var1,i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length,rho)); psi1=new_psi1;psi2=new_psi2; if count>1: iter_cutoff=abs(previous_sum-current_sum); else: iter_cutoff=current_sum; previous_sum=current_sum; if count>iter_maxrun: return([current_sum,[psi1,psi2,0,0,var1,var2,0,flag_xopt]]); #print('unconstrain_psi_MLE_marginal');print(psi1);print(psi2);print(beta_0);print(beta_1); return([current_sum,[psi1,psi2,beta_0,beta_1,var1,var2,rho,flag_xopt]]); def MLE_marginal_iteration_constrain_paired(i1,i2,s1,s2,effective_inclusion_length,effective_skipping_length,psi1_last,psi2_last,var1_last,var2_last,rho_last,beta_0_last,beta_1_last,current_sum_last): #initial value rho=rho_last; var1=var1_last;var2=var2_last; psi1=psi1_last;psi2=psi2_last; beta_0=beta_0_last;beta_1=beta_1_last; current_sum=current_sum_last; #MLE of the marginal likelihood iter_cutoff=1;iter_maxrun=40;count=0;previous_sum=1;likelihood_sum=0; #print('psi');print(psi1);print(psi2); if (sum(psi1)/len(psi1))>(sum(psi2)/len(psi2)):#minize psi2 if this is the case xopt = fmin_l_bfgs_b(myfunc_marginal_1_paired,[beta_1],myfunc_marginal_1_der_paired,args=[i1,s1,psi1,var1,i2,s2,psi2,var2,effective_inclusion_length,effective_skipping_length,rho],bounds=[[pow(10,-2),1-pow(10,-2)-cutoff]],iprint=-1) beta_1 = max(min(float(xopt[0][0]),1-cutoff),0);beta_0=beta_1+cutoff; current_sum=float(xopt[1]); #rho=xopt[0][1]; else:#minize psi1 if this is the case xopt = fmin_l_bfgs_b(myfunc_marginal_2_paired,[beta_0],myfunc_marginal_2_der_paired,args=[i1,s1,psi1,var1,i2,s2,psi2,var2,effective_inclusion_length,effective_skipping_length,rho],bounds=[[pow(10,-2),1-pow(10,-2)-cutoff]],iprint=-1) beta_0 = max(min(float(xopt[0][0]),1-cutoff),0);beta_1=beta_0+cutoff; current_sum=float(xopt[1]); #rho=xopt[0][1]; print('constrain_MLE_marginal_xopt_mean');print(xopt);print(beta_0);print(beta_1); # if xopt[2]['warnflag']!=0: # return([current_sum,[psi1,psi2,beta_0,beta_1,var1,var2,rho,0]]); # else: return([current_sum,[psi1,psi2,beta_0,beta_1,var1,var2,rho,1]]); #new_psi1=[];new_psi2=[]; #for i in range(len(psi1)): # xopt = fmin_l_bfgs_b(myfunc_individual_paired,[psi1[i],psi2[i]],myfunc_individual_der_paired,args=[i1[i],s1[i],beta_0,var1,i2[i],s2[i],beta_1,var2,effective_inclusion_length,effective_skipping_length,rho],bounds=[[0.01,0.99],[0.01,0.99]],iprint=-1); # new_psi1.append(float(xopt[0][0]));new_psi2.append(float(xopt[0][1])); # print('unconstrain_MLE_marginal_xopt_replicate');print(xopt); #psi1=new_psi1;psi2=new_psi2; #Random Sampling Function def likelihood_test(i1,i2,s1,s2,effective_inclusion_length,effective_skipping_length,flag,id): print('testing'+str(id)); if flag==0: return([1,0]); else: res=MLE_marginal_iteration(i1,i2,s1,s2,effective_inclusion_length,effective_skipping_length); if abs(res[1][2]-res[1][3])<=cutoff: print('1<=cutoff');print(res);print((res[1][2]-res[1][3])); #return([1-scipy.stats.norm.cdf(abs(res[1][2]-res[1][3]),cutoff,sqrt(res[1][4]+res[1][5])),res[0]]); return([1,0]); else: res_constrain=MLE_marginal_iteration_constrain(i1,i2,s1,s2,effective_inclusion_length,effective_skipping_length); print('2>cutoff');print(res);print(res_constrain); print(abs(res_constrain[0]-res[0]));print(pow(1-pow(res[1][6],2),2));print('2end'); #print(abs(res_constrain[2]-res[2]));print('2end_marginal'); return([scipy.stats.chi2.sf(2*(abs(res_constrain[0]-res[0]))/pow(1-pow(res[1][6],2),2),1),res[1][-1]]); #MultiProcessorFunction def MultiProcessorPool(n_original_diff): i1=n_original_diff[0];i2=n_original_diff[1];s1=n_original_diff[2];s2=n_original_diff[3]; effective_inclusion_length=n_original_diff[4];effective_skipping_length=n_original_diff[5]; flag=n_original_diff[6];id=n_original_diff[7]; P=likelihood_test(i1,i2,s1,s2,effective_inclusion_length,effective_skipping_length,flag,id); return(P); #Function for vector handling def vec2float(vec): res=[]; for i in vec: res.append(float(i)); return(res); #add 1 in both inclusion and skipping counts for robustness in small sample size def vecAddOne(vec): res=[]; for i in vec: res.append(i); return(res); def vecprod(vec): res=1; for i in vec: res=res*i; return(res); def vecadd(vec1,vec2): res=[]; for i in range(len(vec1)): res.append(vec1[i]+vec2[i]); return(res); def vec2remove0psi(inc,skp): res1=[];res2=[]; for i in range(len(inc)): if (inc[i]!=0) | (skp[i]!=0): res1.append(inc[i]);res2.append(skp[i]); return([res1,res2]); def vec2psi(inc,skp,effective_inclusion_length,effective_skipping_length): psi=[]; inclusion_length=effective_inclusion_length; skipping_length=effective_skipping_length; for i in range(len(inc)): if (float(inc[i])+float(skp[i]))==0: psi.append(0.5); else: psi.append(float(inc[i])/inclusion_length/(float(inc[i])/inclusion_length+float(skp[i])/skipping_length)); return(psi); def vec210(vec): res=[]; for i in vec: if i>0: res.append(1); else: res.append(-1); return(res); #this function removes the paired samples with inc1+skp1=0 or inc2+skp2=0 def vec_remove_na_pair(inc1,skp1,inc2,skp2): res_inc1=[];res_skp1=[];res_inc2=[];res_skp2=[]; for i in range(len(inc1)): if ((float(inc1[i])+float(skp1[i]))>0) & ((float(inc2[i])+float(skp2[i]))>0): res_inc1.append(inc1[i]); res_skp1.append(skp1[i]); res_inc2.append(inc2[i]); res_skp2.append(skp2[i]); return([res_inc1,res_skp1,res_inc2,res_skp2]); def vec_remove_na(inc,skp): res_inc=[];res_skp=[]; for i in range(len(inc)): if (float(inc[i])+float(skp[i]))>0: res_inc.append(inc[i]); res_skp.append(skp[i]); return([res_inc,res_skp]); def myttest(vec1,vec2): if (len(vec1)==1) & (len(vec2)==1): res=stats.ttest_ind([vec1[0],vec1[0]],[vec2[0],vec2[0]]); else: res=stats.ttest_ind(vec1,vec2); return(res); ifile=open(sys.argv[1]); title=ifile.readline(); #analyze the title of the inputed data file to find the information of how much simulation are involved #the min simulated round is 10, each time it increases by 10 times element=re.findall('[^ \t\n]+',title); ofile=open(sys.argv[2]+'/rMATS_Result_P.txt','w'); ofile.write(title[:-1]+'\tPValue'+'\n'); list_n_original_diff=[];probability=[];psi_list_1=[];psi_list_2=[]; ilines=ifile.readlines(); for i in range(len(ilines)): element=re.findall('[^ \t\n]+',ilines[i]); inc1=re.findall('[^,]+',element[1]);skp1=re.findall('[^,]+',element[2]);inc2=re.findall('[^,]+',element[3]);skp2=re.findall('[^,]+',element[4]); effective_inclusion_length=int(element[5]); effective_skipping_length=int(element[6]); inc1=vec2float(inc1);skp1=vec2float(skp1);inc2=vec2float(inc2);skp2=vec2float(skp2); temp=vec_remove_na_pair(inc1,skp1,inc2,skp2);inc1_nona=temp[0];skp1_nona=temp[1];inc2_nona=temp[2];skp2_nona=temp[3]; if (len(inc1_nona)<=0) | (len(inc2_nona)<=0): list_n_original_diff.append([inc1,inc2,skp1,skp2,effective_inclusion_length,effective_skipping_length,0,element[0]]); else: inc1=inc1_nona;skp1=skp1_nona;inc2=inc2_nona;skp2=skp2_nona; inc1=vecAddOne(inc1);skp1=vecAddOne(skp1);inc2=vecAddOne(inc2);skp2=vecAddOne(skp2); psi_avg_1=sum(array(inc1)/effective_inclusion_length/(array(inc1)/effective_inclusion_length+array(skp1)/effective_skipping_length))/len(inc1); psi_avg_2=sum(array(inc2)/effective_inclusion_length/(array(inc2)/effective_inclusion_length+array(skp2)/effective_skipping_length))/len(inc2); if abs(psi_avg_1 - psi_avg_2) <= cutoff: list_n_original_diff.append([inc1,inc2,skp1,skp2,effective_inclusion_length,effective_skipping_length,0,element[0]]); else: list_n_original_diff.append([inc1,inc2,skp1,skp2,effective_inclusion_length,effective_skipping_length,1,element[0]]); #if i>2: # break; rho=0.9 rho=stats.pearsonr(numpy.array(psi_list_1),numpy.array(psi_list_2));rho=rho[0]; if rho>0.9: rho=0.9; rho=0.9 print('rho');print(rho); if MultiProcessor>1: pool=Pool(processes=MultiProcessor); probability=pool.map(MultiProcessorPool,list_n_original_diff); else: for i in range(len(list_n_original_diff)): probability.append(MultiProcessorPool(list_n_original_diff[i])); index=0; for i in range(len(ilines)): element=re.findall('[^ \t\n]+',ilines[i]); print(probability); #ofile.write(ilines[i][:-1]+'\t'+str(probability[i][1])+'\t'+str(probability[i][0])+'\n'); ofile.write(ilines[i][:-1]+'\t'+str(probability[i][0])+'\n'); ofile.close();

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0.837666

0.806448

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0.756953

0.734391

0.713134

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51,022

990

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0.653403

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0

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null

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078e1d85d6dc8b0172eac0f8742b39be8001562b

2,487

py

Python

panoptes_aggregation/tests/reducer_tests/test_shape_reducer_keywords.py

ramanakumars/aggregation-for-caesar

1ff803ed0d25539f095f87fc72fdeafce742c4e2

[ "Apache-2.0" ]

null

panoptes_aggregation/tests/reducer_tests/test_shape_reducer_keywords.py

ramanakumars/aggregation-for-caesar

1ff803ed0d25539f095f87fc72fdeafce742c4e2

[ "Apache-2.0" ]

null

panoptes_aggregation/tests/reducer_tests/test_shape_reducer_keywords.py

ramanakumars/aggregation-for-caesar

1ff803ed0d25539f095f87fc72fdeafce742c4e2

[ "Apache-2.0" ]

null

import unittest from panoptes_aggregation.reducers.shape_reducer_dbscan import process_data as process_data_dbscan, shape_reducer_dbscan from panoptes_aggregation.reducers.shape_reducer_optics import process_data as process_data_optics, shape_reducer_optics from panoptes_aggregation.reducers.shape_reducer_hdbscan import process_data as process_data_hdbscan, shape_reducer_hdbscan class ShapeReducerDBSCANBadKeywords(unittest.TestCase): def setUp(self): self.maxDiff = None def test_no_keyword_dbscan(self): '''Test error is raised in DBSCAN if no keyword is used for shape''' with self.assertRaises(KeyError): process_data_dbscan([]) def test_bad_keyword_dbscan(self): '''Test error is raised in DBSCAN if a bad keyword is used for shape''' with self.assertRaises(KeyError): process_data_dbscan([], shape='bad_shape') def test_bad_metric_keyword_dbscan(self): '''Test error is raised in DBSCAN if a bad metric keyword is used''' with self.assertRaises(ValueError): shape_reducer_dbscan([], metric_type='bad', user_id=[], shape='circle') def test_no_keyword_hdbscan(self): '''Test error is raised in HDBSCAN if no keyword is used for shape''' with self.assertRaises(KeyError): process_data_hdbscan([]) def test_bad_keyword_hdbscan(self): '''Test error is raised in HDBSCAN if a bad keyword is used for shape''' with self.assertRaises(KeyError): process_data_hdbscan([], shape='bad_shape') def test_bad_metric_keyword_hdbscan(self): '''Test error is raised in HDBSCAN if a bad metric keyword is used''' with self.assertRaises(ValueError): shape_reducer_hdbscan([], metric_type='bad', user_id=[], shape='circle') def test_no_keyword_optics(self): '''Test error is raised in OPTICS if no keyword is used for shape''' with self.assertRaises(KeyError): process_data_optics([]) def test_bad_keyword_optics(self): '''Test error is raised in OPTICS if a bad keyword is used for shape''' with self.assertRaises(KeyError): process_data_optics([], shape='bad_shape') def test_bad_metric_keyword_optics(self): '''Test error is raised in OPTICS if a bad metric keyword is used''' with self.assertRaises(ValueError): shape_reducer_optics([], metric_type='bad', user_id=[], shape='circle')

45.218182

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333

2,487

5.012012

0.129129

0.079089

0.070102

0.080887

0.855003

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0.705812

0.653685

0

0.208283

2,487

54

124

46.055556

0.847638

0.232409

0

0.264706

0

0.028986

0

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1

0.294118

false

0

0.117647

0

0.441176

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null

0

1

0

1

0

null

0

1

0

6

07e67458963d09b3c5985851a219fa28e355892b

6,191

py

Python

sqlite_tables/tests/test_custom_types.py

jams2/sqlite-tables

039f62029f41ed6f91bba2c3388dc604446b0ab0

[ "MIT" ]

null

sqlite_tables/tests/test_custom_types.py

jams2/sqlite-tables

039f62029f41ed6f91bba2c3388dc604446b0ab0

[ "MIT" ]

1

2021-06-02T00:43:48.000Z

sqlite_tables/tests/test_custom_types.py

jams2/sqlite-tables

039f62029f41ed6f91bba2c3388dc604446b0ab0

[ "MIT" ]

null

import unittest import sqlite3 from ..types import ( adapt_bool, convert_bool, adapt_int_list, convert_int_list, IntList, ) class TestBoolType(unittest.TestCase): def setUp(self): self.conn = sqlite3.connect( ':memory:', detect_types=sqlite3.PARSE_DECLTYPES, ) self.conn.row_factory = sqlite3.Row def tearDown(self): self.conn.close() def test_bool_adapter_false(self): self.assertEqual(b'0', adapt_bool(False)) def test_bool_adapter_true(self): self.assertEqual(b'1', adapt_bool(True)) def test_bool_converter_true(self): self.assertEqual(True, convert_bool(b'1')) def test_bool_converter_false(self): self.assertEqual(False, convert_bool(b'0')) def test_bool_insert_false_is_0(self): def converter(val): return val sqlite3.register_adapter(bool, adapt_bool) sqlite3.register_converter('BOOL', converter) with self.conn: self.conn.execute('CREATE TABLE test_table (test_bool BOOL, name TEXT)') self.conn.execute('INSERT INTO test_table VALUES (?, ?)', (False, 'test')) cursor = self.conn.execute('SELECT * FROM test_table') self.assertEqual(b'0', cursor.fetchone()['test_bool']) def test_bool_insert_true_is_1(self): def converter(val): return val sqlite3.register_adapter(bool, adapt_bool) sqlite3.register_converter('BOOL', converter) with self.conn: self.conn.execute('CREATE TABLE test_table (test_bool BOOL, name TEXT)') self.conn.execute('INSERT INTO test_table VALUES (?, ?)', (True, 'test')) cursor = self.conn.execute('SELECT * FROM test_table') self.assertEqual(b'1', cursor.fetchone()['test_bool']) def test_bool_select_true_is_true(self): sqlite3.register_adapter(bool, adapt_bool) sqlite3.register_converter('BOOL', convert_bool) with self.conn: self.conn.execute('CREATE TABLE test_table (test_bool BOOL, name TEXT)') self.conn.execute('INSERT INTO test_table VALUES (?, ?)', (True, 'test')) cursor = self.conn.execute('SELECT * FROM test_table') self.assertEqual(True, cursor.fetchone()['test_bool']) def test_bool_select_false_is_false(self): sqlite3.register_adapter(bool, adapt_bool) sqlite3.register_converter('BOOL', convert_bool) with self.conn: self.conn.execute('CREATE TABLE test_table (test_bool BOOL, name TEXT)') self.conn.execute('INSERT INTO test_table VALUES (?, ?)', (False, 'test')) cursor = self.conn.execute('SELECT * FROM test_table') self.assertEqual(False, cursor.fetchone()['test_bool']) class TestIntIterType(unittest.TestCase): def setUp(self): self.conn = sqlite3.connect( ':memory:', detect_types=sqlite3.PARSE_DECLTYPES, ) self.conn.row_factory = sqlite3.Row def tearDown(self): self.conn.close() def test_adapter_empty_list(self): self.assertEqual(b'', adapt_int_list([])) def test_adapter_list(self): self.assertEqual(b'1,2,3', adapt_int_list([1, 2, 3])) def test_adapter_negative_ints(self): self.assertEqual(b'1,-2,0', adapt_int_list([1, -2, 0])) def test_converter_empty(self): self.assertEqual([], convert_int_list(b'')) def test_converter_positive_ints(self): self.assertEqual([1, 2, 3], [x for x in convert_int_list(b'1,2,3')]) def test_converter_negative_ints(self): self.assertEqual([-1, 2, -3], [x for x in convert_int_list(b'-1,2,-3')]) def test_insert_list(self): def converter(val): return val sqlite3.register_adapter(IntList, adapt_int_list) sqlite3.register_converter('INT_LIST', converter) with self.conn: self.conn.execute( 'CREATE TABLE test_table (test_intlist INT_LIST, name TEXT)' ) self.conn.execute( 'INSERT INTO test_table VALUES (?, ?)', (IntList([1, 2]), 'test'), ) cursor = self.conn.execute('SELECT * FROM test_table') self.assertEqual(b'1,2', cursor.fetchone()['test_intlist']) def test_insert_empty_list(self): def converter(val): return val sqlite3.register_adapter(IntList, adapt_int_list) sqlite3.register_converter('INT_LIST', converter) with self.conn: self.conn.execute( 'CREATE TABLE test_table (test_intlist INT_LIST, name TEXT)' ) self.conn.execute( 'INSERT INTO test_table VALUES (?, ?)', (IntList([]), 'test'), ) cursor = self.conn.execute('SELECT * FROM test_table') self.assertEqual(None, cursor.fetchone()['test_intlist']) def test_fetch_int_list(self): sqlite3.register_adapter(IntList, adapt_int_list) sqlite3.register_converter('INT_LIST', convert_int_list) with self.conn: self.conn.execute( 'CREATE TABLE test_table (test_intlist INT_LIST, name TEXT)' ) self.conn.execute( 'INSERT INTO test_table VALUES (?, ?)', (IntList([1, 2, 3]), 'test'), ) cursor = self.conn.execute('SELECT * FROM test_table') self.assertEqual([1, 2, 3], cursor.fetchone()['test_intlist']) def test_fetch_int_list_with_negatives(self): sqlite3.register_adapter(IntList, adapt_int_list) sqlite3.register_converter('INT_LIST', convert_int_list) with self.conn: self.conn.execute( 'CREATE TABLE test_table (test_intlist INT_LIST, name TEXT)' ) self.conn.execute( 'INSERT INTO test_table VALUES (?, ?)', (IntList([-1, 0, -3]), 'test'), ) cursor = self.conn.execute('SELECT * FROM test_table') self.assertEqual([-1, 0, -3], cursor.fetchone()['test_intlist'])

37.521212

86

0.609918

749

6,191

4.813084

0.086782

0.084327

0.099861

0.035506

0.83828

0.795284

0.774203

0.765049

0.743412

0.719001

0

0.01567

0.268131

6,191

164

87

37.75

0.77996

0

0.561151

0

0.1822

0

0.129496

1

0.18705

false

0

0.021583

0.028777

0.251799

0

null

0

1

0

null

0

6

6af66b430a1dfa680bda653c6bcead6382c6bbdc

210

py

Python

frontstage/views/sign_in/__init__.py

ONSdigital/ras-frontstage

e8ff1931b49cb3ab47b421aed6780e9e944dceea

[ "MIT" ]

8

2017-06-30T12:32:02.000Z

2022-02-25T09:07:28.000Z

frontstage/views/sign_in/__init__.py

ONSdigital/ras-frontstage

e8ff1931b49cb3ab47b421aed6780e9e944dceea

[ "MIT" ]

256

2017-05-16T09:38:09.000Z

2022-03-28T13:38:42.000Z

frontstage/views/sign_in/__init__.py

ONSdigital/ras-frontstage

e8ff1931b49cb3ab47b421aed6780e9e944dceea

[ "MIT" ]

4

2017-09-29T08:58:36.000Z

2021-04-11T07:44:27.000Z

from flask import Blueprint sign_in_bp = Blueprint("sign_in_bp", __name__, static_folder="static", template_folder="frontstage/templates/sign-in") from frontstage.views.sign_in import logout, sign_in # NOQA

35

118

0.804762

31

210

5.064516

0.516129

0.191083

0.216561

0

0.095238

210

5

119

42

0.826316

0.019048

0

0.215686

0.137255

0

1

0

false

0

0.666667

0

0.666667

0

null

0

1

0

1

0

null

0

1

0

1

0

6

6afc7db2a6c6f91b4bf9cd78821e3841a0912357

119

py

Python

lib/wwmgr/test_work_managers/__init__.py

poharrison/westpa

8618ab598f9bb38a7bc1479932f5332b137dfcbc

[ "MIT" ]

140

2015-01-07T23:30:36.000Z

2022-03-28T17:15:30.000Z

lib/wwmgr/test_work_managers/__init__.py

burntyellow/westpa

9dc62478fcef0001b9c038cd56a40b6be1b9d64a

[ "MIT" ]

157

2015-01-03T03:38:36.000Z

2022-03-31T14:12:16.000Z

lib/wwmgr/test_work_managers/__init__.py

burntyellow/westpa

9dc62478fcef0001b9c038cd56a40b6be1b9d64a

[ "MIT" ]

56

2015-01-02T21:21:40.000Z

2022-03-03T16:27:54.000Z

from . import test_serial, test_threads, test_processes from test_work_managers.test_zeromq import test_work_manager

23.8

60

0.865546

18

119

5.277778

0.555556

0.210526

0

0.10084

119

4

61

29.75

0.88785

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

ed292ceaf03f2c611924e8ea8936ad0f410b0021

174

py

Python

Rest_Api/admin.py

gitRipan/ProjRestApi

f928670adad4cc30cf67caa975d08a65e125b871

[ "MIT" ]

null

Rest_Api/admin.py

gitRipan/ProjRestApi

f928670adad4cc30cf67caa975d08a65e125b871

[ "MIT" ]

null

Rest_Api/admin.py

gitRipan/ProjRestApi

f928670adad4cc30cf67caa975d08a65e125b871

[ "MIT" ]

null

from django.contrib import admin from Rest_Api import models # Register your models here. admin.site.register(models.UserProfile) admin.site.register(models.ProfileFeedItem)

29

43

0.83908

24

174

6.041667

0.583333

0.124138

0.234483

0.317241

0

0.086207

174

6

43

29

0.91195

0.149425

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

ed305ebf3974438a595aa73c2d7aa0af5e764e84

154

py

Python

python/code/range.py

darcamo/python-16h-course

70c67ff1275d1abfca77ca5f56779c198b81bd0c

[ "MIT" ]

null

python/code/range.py

darcamo/python-16h-course

70c67ff1275d1abfca77ca5f56779c198b81bd0c

[ "MIT" ]

null

python/code/range.py

darcamo/python-16h-course

70c67ff1275d1abfca77ca5f56779c198b81bd0c

[ "MIT" ]

null

range(5, 10) # 5, 6, 7, 8, 9 range(0, 10, 3) # 0, 3, 6, 9 range(-10, -100, -30) # -10, -40, -70 range(-10, -101, -30) # -10, -40, -70 -100

30.8

42

0.422078

31

154

2.096774

0.451613

0.184615

0.246154

0

0.416667

0.298701

154

4

43

38.5

0.185185

0.37013

0

1

0

true

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

6

ed4896abdce84ca0df5b9442357ac0f888502c53

76,576

py

Python

Source/CharlestonPark.py

YangChuan80/CharlestonPark

241c2e922254cfbc21b7947cb6b589930fe47247

[ "MIT", "Unlicense" ]

null

Source/CharlestonPark.py

YangChuan80/CharlestonPark

241c2e922254cfbc21b7947cb6b589930fe47247

[ "MIT", "Unlicense" ]

null

Source/CharlestonPark.py

YangChuan80/CharlestonPark

241c2e922254cfbc21b7947cb6b589930fe47247

[ "MIT", "Unlicense" ]

null

import tkinter as tk from tkinter import ttk from tkinter import filedialog from tkinter import messagebox import tkinter.font as tkf import sqlite3 import datetime DB_file = 'Samples_DB.sqlite' conn = sqlite3.connect(DB_file) cur = conn.cursor() sqlstr = '''SELECT * FROM Samples JOIN Patients ON Samples.patient_id = Patients.id_in_patients ORDER BY Samples.id_in_samples ''' spreadsheet = cur.execute(sqlstr) combination = [] for row in spreadsheet: combination.append(row) cur.execute('SELECT * FROM Samples') headers_samples = [item[0] for item in cur.description] cur.execute('SELECT * FROM Patients') headers_patients = [item[0] for item in cur.description] headers = headers_samples + headers_patients ## Helper functions #### Table related def OnDoubleClick(event): global idglb try: item = table.selection()[0] value = table.item(item, 'values') iden = value[0] ExtractID(iden) idglb = iden except: pass def sortby(tree, col, descending): """sort tree contents when a column header is clicked on""" # grab values to sort data = [(tree.set(child, col), child) for child in tree.get_children('')] # if the data to be sorted is numeric change to float #data = change_numeric(data) # now sort the data in place data.sort(reverse=descending) for ix, item in enumerate(data): tree.move(item[1], '', ix) # switch the heading so it will sort in the opposite direction tree.heading(col, command=lambda col=col: sortby(tree, col, int(not descending))) #### Function related def refreshDB(): global conn, cur, desc, headers, combination conn.close() conn = sqlite3.connect(DB_file) cur = conn.cursor() cur.execute('SELECT * FROM Samples') headers_samples = [item[0] for item in cur.description] cur.execute('SELECT * FROM Patients') headers_patients = [item[0] for item in cur.description] headers = headers_samples + headers_patients sqlstr = '''SELECT * FROM Samples JOIN Patients ON Samples.patient_id = Patients.id_in_patients ORDER BY Samples.id_in_samples ''' spreadsheet = cur.execute(sqlstr) combination = [] for row in spreadsheet: combination.append(row) def ExtractID(iden): sqlstr = '''SELECT * FROM Samples JOIN Patients ON Samples.patient_id = Patients.id_in_patients WHERE Samples.id_in_samples = ? ''' cur.execute(sqlstr, (iden,)) rowSelected = cur.fetchone() item = {} for i in range(len(rowSelected)): item[headers[i]] = rowSelected[i] display_in_text(item) def display_in_table(combination): for row in combination: table.insert("", "end", "", values=row) num = str(len(combination)) text_num.delete('1.0', tk.END) text_num.insert('1.0', num) def display_in_text(item): # //// Samples /////////////////////////////// text_id_in_samples.delete('1.0', tk.END) text_id_in_samples.insert('1.0', item['id_in_samples']) text_RackNumber.delete('1.0', tk.END) text_RackNumber.insert('1.0', item['RackNumber']) #text_SampleType.delete('1.0', tk.END) #text_SampleType.insert('1.0', item['SampleType']) combo_SampleType.set(item['SampleType']) text_SampleID.delete('1.0', tk.END) text_SampleID.insert('1.0', item['SampleID']) #text_SampleStatus.delete('1.0', tk.END) #text_SampleStatus.insert('1.0', item['SampleStatus']) combo_SampleStatus.set(item['SampleStatus']) text_PatientName_in_samples.delete('1.0', tk.END) text_PatientName_in_samples.insert('1.0', item['PatientName_in_samples']) text_Samples_patient_id.delete('1.0', tk.END) text_Samples_patient_id.insert('1.0', item['patient_id']) # //// Patients /////////////////////////////// text_id_in_patients.delete('1.0', tk.END) text_id_in_patients.insert('1.0', item['id_in_patients']) text_PatientName_in_patients.delete('1.0', tk.END) text_PatientName_in_patients.insert('1.0', item['PatientName_in_patients']) text_InPatientID.delete('1.0', tk.END) text_InPatientID.insert('1.0', item['InPatientID']) text_CitizenID.delete('1.0', tk.END) text_CitizenID.insert('1.0', item['CitizenID']) text_BirthDate.delete('1.0', tk.END) text_BirthDate.insert('1.0', item['BirthDate']) #text_Gender.delete('1.0', tk.END) #text_Gender.insert('1.0', item['Gender']) combo_Gender.set(item['Gender']) text_PatientName_CN.delete('1.0', tk.END) text_PatientName_CN.insert('1.0', item['PatientName_CN']) text_ProbandName.delete('1.0', tk.END) text_ProbandName.insert('1.0', item['ProbandName']) text_proband_id.delete('1.0', tk.END) text_proband_id.insert('1.0', item['proband_id']) text_RelationshipOfProband.delete('1.0', tk.END) text_RelationshipOfProband.insert('1.0', item['RelationshipOfProband']) text_Telephone.delete('1.0', tk.END) text_Telephone.insert('1.0', item['Telephone']) text_Comments.delete('1.0', tk.END) text_Comments.insert('1.0', item['Comments']) text_Diagnosis1.delete('1.0', tk.END) text_Diagnosis1.insert('1.0', item['Diagnosis1']) text_Diagnosis2.delete('1.0', tk.END) text_Diagnosis2.insert('1.0', item['Diagnosis2']) text_Diagnosis3.delete('1.0', tk.END) text_Diagnosis3.insert('1.0', item['Diagnosis3']) text_Diagnosis4.delete('1.0', tk.END) text_Diagnosis4.insert('1.0', item['Diagnosis4']) text_Diagnosis5.delete('1.0', tk.END) text_Diagnosis5.insert('1.0', item['Diagnosis5']) def clear(): for i in table.get_children(): table.delete(i) def browse(): clear() refreshDB() display_in_table(combination) def samples(): cur.execute('SELECT * FROM Samples') headers_samples = [item[0] for item in cur.description] sqlstr = 'SELECT * FROM Samples ORDER BY id_in_samples' spreadsheet = cur.execute(sqlstr) combination = [] for row in spreadsheet: combination.append(row) def OnDoubleClick_Samples(event): global idglb try: item = table.selection()[0] value = table.item(item, 'values') iden = value[0] ExtractID(iden) idglb = iden except: pass def ExtractID(iden): sqlstr = 'SELECT * FROM Samples WHERE id_in_samples = ?' cur.execute(sqlstr, (iden,)) rowSelected = cur.fetchone() item = {} for i in range(len(rowSelected)): item[headers[i]] = rowSelected[i] display_in_text(item) def display_in_table(combination): for row in combination: table.insert("", "end", "", values=row) def display_in_text(item): text_id_in_samples.delete('1.0', tk.END) text_id_in_samples.insert('1.0', item['id_in_samples']) text_RackNumber.delete('1.0', tk.END) text_RackNumber.insert('1.0', item['RackNumber']) combo_SampleType.set(item['SampleType']) text_SampleID.delete('1.0', tk.END) text_SampleID.insert('1.0', item['SampleID']) combo_SampleStatus.set(item['SampleStatus']) text_PatientName_in_samples.delete('1.0', tk.END) text_PatientName_in_samples.insert('1.0', item['PatientName_in_samples']) text_Samples_patient_id.delete('1.0', tk.END) text_Samples_patient_id.insert('1.0', item['patient_id']) def update_samples(): try: text_id_in_samples_gotten = text_id_in_samples.get('1.0', tk.END).rstrip() RackNumber_gotten = text_RackNumber.get('1.0', tk.END).rstrip() SampleID_gotten = text_SampleID.get('1.0', tk.END).rstrip() SampleType_gotten = combo_SampleType.get().rstrip() SampleStatus_gotten = combo_SampleStatus.get().rstrip() PatientName_in_samples_gotten = text_PatientName_in_samples.get('1.0', tk.END).rstrip() Samples_patient_id_gotten = text_Samples_patient_id.get('1.0', tk.END).rstrip() Question_mark = '(' + '?, ' * 6 + '?)' cur.execute('DELETE FROM Samples WHERE id_in_samples = ?', (text_id_in_samples_gotten,)) conn.commit() Update_values = (text_id_in_samples_gotten, RackNumber_gotten, SampleID_gotten, SampleType_gotten, SampleStatus_gotten, PatientName_in_samples_gotten, Samples_patient_id_gotten) Update_Fields = '''( id_in_samples, RackNumber, SampleID, SampleType, SampleStatus, PatientName_in_samples, patient_id) ''' #cur.execute('INSERT INTO BloodSamples (SampleID, PatientName, SampleType) VALUES (?, ?, ?)', #('201706181718000444', 'PatientName, 'Serum')) cur.execute('INSERT INTO Samples '+ Update_Fields + ' VALUES ' + Question_mark, Update_values) conn.commit() #messagebox.showinfo("Updated", "Sample information successfully updated!") # //////////////////// Refresh the Table /////////////////////////////////////////////////// # Clear the table for i in table.get_children(): table.delete(i) # Refresh the whole database refreshDB() # Refresh variable combination sqlstr = 'SELECT * FROM Samples ORDER BY id_in_samples' spreadsheet = cur.execute(sqlstr) combination = [] for row in spreadsheet: combination.append(row) # Display the table display_in_table(combination) except: pass def delete_sample(): id_in_samples_gotten = text_id_in_samples.get('1.0', tk.END).rstrip() if id_in_samples_gotten == '': messagebox.showinfo("Empty", "There's no sample to delete. Please make sure.") else: result = messagebox.askquestion('Delete', 'Are you sure to delete this sample?', icon='warning') if result == 'yes': cur.execute('DELETE FROM Samples WHERE id_in_samples = ?', (id_in_samples_gotten,)) conn.commit() messagebox.showinfo("Deleted", "Sample has been deleted!") # //////////////////// Refresh the Table /////////////////////////////////////////////////// # Clear the table for i in table.get_children(): table.delete(i) # Refresh the whole database refreshDB() # Refresh variable combination sqlstr = 'SELECT * FROM Samples ORDER BY id_in_samples' spreadsheet = cur.execute(sqlstr) combination = [] for row in spreadsheet: combination.append(row) # Display the table display_in_table(combination) def sampleIDSearch(): PatientName_Search_gotten = text_SampleID_search.get('1.0', tk.END).rstrip() sqlstr = '''SELECT * FROM Samples WHERE SampleID = ? ''' cur.execute(sqlstr, (PatientName_Search_gotten,)) items = cur.fetchall() for i in table.get_children(): table.delete(i) display_in_table(items) def patientNameSearch(): PatientName_Search_gotten = text_PatientName_search.get('1.0', tk.END).rstrip() sqlstr = '''SELECT * FROM Samples WHERE PatientName_in_samples = ? ''' cur.execute(sqlstr, (PatientName_Search_gotten,)) items = cur.fetchall() for i in table.get_children(): table.delete(i) display_in_table(items) def browse(): # Refresh the whole database refreshDB() # Refresh variable combination sqlstr = 'SELECT * FROM Samples ORDER BY id_in_samples' spreadsheet = cur.execute(sqlstr) combination = [] for row in spreadsheet: combination.append(row) # Display the table display_in_table(combination) # /////// Main Flow //////////////////////////// root_samples = tk.Tk() w = 1400 # width for the Tk root h = 730 # height for the Tk root # get screen width and height ws = root_samples.winfo_screenwidth() # width of the screen hs = root_samples.winfo_screenheight() # height of the screen # calculate x and y coordinates for the Tk root window x = (ws/2) - (w/2) y = (hs/2) - (h/2) # set the dimensions of the screen # and where it is placed root_samples.geometry('%dx%d+%d+%d' % (w, h, x, y)) root_samples.title('Samples') # /////// Multicolumn Listbox ///////////////////////// table = ttk.Treeview(root_samples, height="20", columns=headers_samples, selectmode="extended") table.pack(padx=10, pady=20, ipadx=1200, ipady=200) ''' ['id_in_samples', 'RackNumber', 'SampleID', 'SampleType', 'SampleStatus', 'PatientName_in_samples', 'patient_id'] ''' i = 1 header_width = [30, 50, 100, 50, 30, 30, 30] for header in headers_samples: table.heading('#'+str(i), text=header.title(), anchor=tk.W, command=lambda c=header: sortby(table, c, 0)) table.column('#'+str(i), stretch=tk.NO, minwidth=0, width=tkf.Font().measure(header.title())+header_width[i-1]) i+=1 table.column('#0', stretch=tk.NO, minwidth=0, width=0) table.bind("<Double-1>", OnDoubleClick_Samples) #/////////////////////////////////////////////////////////////////////////////////////////// # Scrollbar//////////////////////////////////////////////////////////////////////////////////////// vsb = ttk.Scrollbar(table, orient = "vertical", command = table.yview) hsb = ttk.Scrollbar(table, orient = "horizontal", command = table.xview) ## Link scrollbars activation to top-level object table.configure(yscrollcommand = vsb.set, xscrollcommand = hsb.set) ## Link scrollbar also to every columns map(lambda col: col.configure(yscrollcommand = vsb.set, xscrollcommand = hsb.set), table) vsb.pack(side = tk.RIGHT, fill = tk.Y) hsb.pack(side = tk.BOTTOM, fill = tk.X) # ///////////////Samples/////////////// y_origin = 540 gain = 50 i = 0 # ///////////// Raised Label Block //////////////////////////////////////////////// label_Patients=tk.Label(root_samples,width=140, height=9 , relief='raised', borderwidth=1) label_Patients.place(x=10,y=y_origin+i*gain-40) # ///////////// Routine Edits//////////////// text_id_in_samples = tk.Text(root_samples, width=10, height=1, font=('tahoma', 8), wrap='none') text_id_in_samples.place(x=820, y=y_origin+i*gain) label_id_in_samples = tk.Label(root_samples, text='id_samples:', font=('tahoma', 8)) label_id_in_samples.place(x=820,y=y_origin+i*gain-25) text_RackNumber = tk.Text(root_samples, width=20, height=1, font=('tahoma', 8), wrap='none') text_RackNumber.place(x=40, y=y_origin+i*gain) label_RackNumber = tk.Label(root_samples, text='Rack Number:', font=('tahoma', 8)) label_RackNumber.place(x=40,y=y_origin+i*gain-25) text_SampleID = tk.Text(root_samples, width=26, height=1, font=('tahoma', 8), wrap='none') text_SampleID.place(x=240, y=y_origin+i*gain) label_SampleID = tk.Label(root_samples, text='Sample ID:', font=('tahoma', 8)) label_SampleID.place(x=240,y=y_origin+i*gain-25) combo_SampleType = ttk.Combobox(root_samples, width=20, height=1, font=('tahoma', 8)) combo_SampleType.place(x=440, y=y_origin+i*gain) label_SampleType = tk.Label(root_samples, text='Sample Type:', font=('tahoma', 8)) label_SampleType.place(x=440,y=y_origin+i*gain-25) combo_SampleType['values'] = ('WholeBlood', 'BloodCells', 'Serum') combo_SampleType['state'] = 'readonly' combo_SampleStatus = ttk.Combobox(root_samples, width=20, height=1, font=('tahoma', 8)) combo_SampleStatus.place(x=640, y=y_origin+i*gain) label_SampleStatus = tk.Label(root_samples, text='Sample Status:', font=('tahoma', 8)) label_SampleStatus.place(x=640,y=y_origin+i*gain-25) combo_SampleStatus['values'] = ('-80Frozen', '-20Frozen', '4Refrigeration', 'RoomTemperature') combo_SampleStatus['state'] = 'readonly' i = 1 text_PatientName_in_samples = tk.Text(root_samples, width=20, height=1, font=('tahoma', 8), wrap='none') text_PatientName_in_samples.place(x=40, y=y_origin+i*gain) label_PatientName_in_samples = tk.Label(root_samples, text='Patient Name:', font=('tahoma', 8)) label_PatientName_in_samples.place(x=40,y=y_origin+i*gain-25) text_Samples_patient_id = tk.Text(root_samples, width=20, height=1, font=('tahoma', 8), wrap='none') text_Samples_patient_id.place(x=240, y=y_origin+i*gain) label_patient_id = tk.Label(root_samples, text='Patient ID:', font=('tahoma', 8)) label_patient_id.place(x=240,y=y_origin+i*gain-25) # //////// Search Area //////////// i = -0.7 button_browse = ttk.Button(root_samples, text='Browse', width=15, command=browse) button_browse.place(x=1240, y=y_origin+i*gain-5) i = 0.3 text_SampleID_search = tk.Text(root_samples, width=25, height=1, font=('tahoma', 8), wrap='none') text_SampleID_search.place(x=1050, y=y_origin+i*gain) label_SampleID_search = tk.Label(root_samples, text='Sample ID:', font=('tahoma', 8)) label_SampleID_search.place(x=1050,y=y_origin+i*gain-25) button_InPatientID_search = ttk.Button(root_samples, text='Search', width=15, command=sampleIDSearch) button_InPatientID_search.place(x=1240, y=y_origin+i*gain-5) i = 1.3 text_PatientName_search = tk.Text(root_samples, width=25, height=1, font=('tahoma', 8), wrap='none') text_PatientName_search.place(x=1050, y=y_origin+i*gain) label_PatientName_search = tk.Label(root_samples, text='Paitnet Name:', font=('tahoma', 8)) label_PatientName_search.place(x=1050,y=y_origin+i*gain-25) button_PatientName_search = ttk.Button(root_samples, text='Search', width=15, command=patientNameSearch) button_PatientName_search.place(x=1240, y=y_origin+i*gain-5) # ////// Buttons ////////////////////////// button_update_sample = ttk.Button(root_samples, text='Update', width=15, command=update_samples) button_update_sample.place(x=640, y=590) button_delete_sample = ttk.Button(root_samples, text='Delete', width=15, command=delete_sample) button_delete_sample.place(x=800, y=590) button_exit = ttk.Button(root_samples, text='Exit', width=15, command=root_samples.destroy) button_exit.place(x=1240, y=670) # ///// Browse Automatically ///////////////////// display_in_table(combination) root_samples.mainloop() def patients(): cur.execute('SELECT * FROM Patients') headers_patients = [item[0] for item in cur.description] sqlstr = 'SELECT * FROM Patients ORDER BY id_in_patients' spreadsheet = cur.execute(sqlstr) combination = [] for row in spreadsheet: combination.append(row) def OnDoubleClick_Patients(event): global idglb try: item = table.selection()[0] value = table.item(item, 'values') iden = value[0] ExtractID(iden) idglb = iden except: pass def ExtractID(iden): sqlstr = 'SELECT * FROM Patients WHERE id_in_patients = ?' cur.execute(sqlstr, (iden,)) rowSelected = cur.fetchone() item = {} for i in range(len(rowSelected)): item[headers_patients[i]] = rowSelected[i] display_in_text(item) def display_in_table(combination): for row in combination: table.insert("", "end", "", values=row) num = str(len(combination)) text_num.delete('1.0', tk.END) text_num.insert('1.0', num) def display_in_text(item): text_id_in_patients.delete('1.0', tk.END) text_id_in_patients.insert('1.0', item['id_in_patients']) text_PatientName_in_patients.delete('1.0', tk.END) text_PatientName_in_patients.insert('1.0', item['PatientName_in_patients']) text_InPatientID.delete('1.0', tk.END) text_InPatientID.insert('1.0', item['InPatientID']) text_CitizenID.delete('1.0', tk.END) text_CitizenID.insert('1.0', item['CitizenID']) text_BirthDate.delete('1.0', tk.END) text_BirthDate.insert('1.0', item['BirthDate']) combo_Gender.set(item['Gender']) text_PatientName_CN.delete('1.0', tk.END) text_PatientName_CN.insert('1.0', item['PatientName_CN']) text_ProbandName.delete('1.0', tk.END) text_ProbandName.insert('1.0', item['ProbandName']) text_proband_id.delete('1.0', tk.END) text_proband_id.insert('1.0', item['proband_id']) text_RelationshipOfProband.delete('1.0', tk.END) text_RelationshipOfProband.insert('1.0', item['RelationshipOfProband']) text_Telephone.delete('1.0', tk.END) text_Telephone.insert('1.0', item['Telephone']) text_Comments.delete('1.0', tk.END) text_Comments.insert('1.0', item['Comments']) text_Diagnosis1.delete('1.0', tk.END) text_Diagnosis1.insert('1.0', item['Diagnosis1']) text_Diagnosis2.delete('1.0', tk.END) text_Diagnosis2.insert('1.0', item['Diagnosis2']) text_Diagnosis3.delete('1.0', tk.END) text_Diagnosis3.insert('1.0', item['Diagnosis3']) text_Diagnosis4.delete('1.0', tk.END) text_Diagnosis4.insert('1.0', item['Diagnosis4']) text_Diagnosis5.delete('1.0', tk.END) text_Diagnosis5.insert('1.0', item['Diagnosis5']) def update_patients(): try: id_in_patients_gotten = text_id_in_patients.get('1.0', tk.END).rstrip() PatientName_in_patients_gotten = text_PatientName_in_patients.get('1.0', tk.END).rstrip() PatientName_CN_gotten = text_PatientName_CN.get('1.0', tk.END).rstrip() Gender_gotten = combo_Gender.get().rstrip() ProbandName_gotten = text_ProbandName.get('1.0', tk.END).rstrip() proband_id = text_proband_id.get('1.0', tk.END).rstrip() RelationshipOfProband_gotten = text_RelationshipOfProband.get('1.0', tk.END).rstrip() InPatientID_gotten = text_InPatientID.get('1.0', tk.END).rstrip() CitizenID_gotten = text_CitizenID.get('1.0', tk.END).rstrip() BirthDate_gotten = text_BirthDate.get('1.0', tk.END).rstrip() Diagnosis1_gotten = text_Diagnosis1.get('1.0', tk.END).rstrip() Diagnosis2_gotten = text_Diagnosis2.get('1.0', tk.END).rstrip() Diagnosis3_gotten = text_Diagnosis3.get('1.0', tk.END).rstrip() Diagnosis4_gotten = text_Diagnosis4.get('1.0', tk.END).rstrip() Diagnosis5_gotten = text_Diagnosis5.get('1.0', tk.END).rstrip() Telephone_gotten = text_Telephone.get('1.0', tk.END).rstrip() Comments_gotten = text_Comments.get('1.0', tk.END).rstrip() Question_mark = '(' + '?, ' * 16 + '?)' cur.execute('DELETE FROM Patients WHERE id_in_patients = ?', (id_in_patients_gotten,)) conn.commit() Update_values = (id_in_patients_gotten, PatientName_in_patients_gotten, PatientName_CN_gotten, Gender_gotten, InPatientID_gotten, CitizenID_gotten, BirthDate_gotten, ProbandName_gotten, proband_id, RelationshipOfProband_gotten, Diagnosis1_gotten, Diagnosis2_gotten, Diagnosis3_gotten, Diagnosis4_gotten, Diagnosis5_gotten, Telephone_gotten, Comments_gotten) Update_Fields = '''(id_in_patients, PatientName_in_patients, PatientName_CN, Gender, InPatientID, CitizenID, BirthDate, ProbandName, proband_id, RelationshipOfProband, Diagnosis1, Diagnosis2, Diagnosis3, Diagnosis4, Diagnosis5, Telephone, Comments) ''' #cur.execute('INSERT INTO BloodSamples (SampleID, PatientName, SampleType) VALUES (?, ?, ?)', #('201706181718000444', 'PatientName, 'Serum')) cur.execute('INSERT INTO Patients '+ Update_Fields + ' VALUES ' + Question_mark, Update_values) conn.commit() #messagebox.showinfo("Updated", "Patient's information successfully updated!") # //////////////////// Refresh the Table /////////////////////////////////////////// # Clear the table for i in table.get_children(): table.delete(i) # Refresh the whole database refreshDB() # Refresh variable combination sqlstr = 'SELECT * FROM Patients ORDER BY id_in_patients' spreadsheet = cur.execute(sqlstr) combination = [] for row in spreadsheet: combination.append(row) # Display the table display_in_table(combination) except: pass def delete_patient(): id_in_patients_gotten = text_id_in_patients.get('1.0', tk.END).rstrip() if id_in_patients_gotten == '': messagebox.showinfo("Empty", "There's no patient's information to delete. Please make sure.") else: result = messagebox.askquestion('Delete', 'Are you sure to delete this patient?', icon='warning') if result == 'yes': cur.execute('DELETE FROM Patients WHERE id_in_patients = ?', (id_in_patients_gotten,)) conn.commit() messagebox.showinfo("Deleted", "The patient's information has been deleted!") # //////////////////// Refresh the Table /////////////////////////////////////////// # Clear the table for i in table.get_children(): table.delete(i) # Refresh the whole database refreshDB() # Refresh variable combination sqlstr = 'SELECT * FROM Patients ORDER BY id_in_patients' spreadsheet = cur.execute(sqlstr) combination = [] for row in spreadsheet: combination.append(row) # Display the table display_in_table(combination) def patientNameSearch(): PatientName_Search_gotten = text_PatientName_search.get('1.0', tk.END).rstrip() sqlstr = '''SELECT * FROM Patients WHERE PatientName_in_patients = ? ''' cur.execute(sqlstr, (PatientName_Search_gotten,)) items = cur.fetchall() for i in table.get_children(): table.delete(i) display_in_table(items) def inPatientIDSearch(): InPatientID_Search_gotten = text_InPatientID_search.get('1.0', tk.END).rstrip() sqlstr = '''SELECT * FROM Patients WHERE InPatientID = ? ''' cur.execute(sqlstr, (InPatientID_Search_gotten,)) items = cur.fetchall() for i in table.get_children(): table.delete(i) display_in_table(items) def browse(): # Refresh the whole database refreshDB() # Refresh variable combination sqlstr = 'SELECT * FROM Patients ORDER BY id_in_patients' spreadsheet = cur.execute(sqlstr) combination = [] for row in spreadsheet: combination.append(row) # Display the table display_in_table(combination) # ////////////////////////////////////////////////////// # /////// Main Flow //////////////////////////// root_patients = tk.Tk() w = 1500 # width for the Tk root h = 840 # height for the Tk root # get screen width and height ws = root_patients.winfo_screenwidth() # width of the screen hs = root_patients.winfo_screenheight() # height of the screen # calculate x and y coordinates for the Tk root window x = (ws/2) - (w/2) y = (hs/2) - (h/2) # set the dimensions of the screen # and where it is placed root_patients.geometry('%dx%d+%d+%d' % (w, h, x, y)) root_patients.title('Patients') # /////// Multicolumn Listbox ///////////////////////// table = ttk.Treeview(root_patients, height="20", columns=headers_patients, selectmode="extended") table.pack(padx=10, pady=20, ipadx=1200, ipady=140) ''' ['id_in_patients', 'PatientName_in_patients', 'PatientName_CN', 'ProbandName', 'proband_id', 'RelationshipOfProband', 'InPatientID', 'CitizenID', 'BirthDate', 'Gender', 'Diagnosis1', 'Diagnosis2', 'Diagnosis3', 'Diagnosis4', 'Diagnosis5', 'Telephone', 'Comments'] ''' i = 1 header_width = [-50, -50, -20, 30, -30, 50, 70, 80, 50, 40, 90, 90, 90, 90, 90, 60, 50] for header in headers_patients: table.heading('#'+str(i), text=header.title(), anchor=tk.W, command=lambda c=header: sortby(table, c, 0)) table.column('#'+str(i), stretch=tk.NO, minwidth=0, width=tkf.Font().measure(header.title())+header_width[i-1]) i+=1 table.column('#0', stretch=tk.NO, minwidth=0, width=0) table.bind("<Double-1>", OnDoubleClick_Patients) #/////////////////////////////////////////////////////////////////////////////////////////// # Scrollbar//////////////////////////////////////////////////////////////////////////////////////// vsb = ttk.Scrollbar(table, orient = "vertical", command = table.yview) hsb = ttk.Scrollbar(table, orient = "horizontal", command = table.xview) ## Link scrollbars activation to top-level object table.configure(yscrollcommand = vsb.set, xscrollcommand = hsb.set) ## Link scrollbar also to every columns map(lambda col: col.configure(yscrollcommand = vsb.set, xscrollcommand = hsb.set), table) vsb.pack(side = tk.RIGHT, fill = tk.Y) hsb.pack(side = tk.BOTTOM, fill = tk.X) # ///////////////Patients/////////////// y_origin = 420 gain = 50 i = 0 # ///////////// Raised Label Block //////////////////////////////////////////////// label_Patients=tk.Label(root_patients,width=140, height=25 , relief='raised', borderwidth=1) label_Patients.place(x=10,y=y_origin+i*gain-40) # ///////////// Routine Edits//////////////// text_id_in_patients = tk.Text(root_patients, width=10, height=1, font=('tahoma', 9), wrap='none') text_id_in_patients.place(x=640, y=y_origin+i*gain) label_id_in_patients = tk.Label(root_patients, text='id_patients:', font=('tahoma', 8)) label_id_in_patients.place(x=640,y=y_origin+i*gain-25) text_PatientName_CN = tk.Text(root_patients, width=20, height=1, font=('tahoma', 9), wrap='none') text_PatientName_CN.place(x=40, y=y_origin+i*gain) label_PatientName_CN = tk.Label(root_patients, text='Patient\'s Chinese Name:', font=('tahoma', 8)) label_PatientName_CN.place(x=40,y=y_origin+i*gain-25) text_PatientName_in_patients = tk.Text(root_patients, width=20, height=1, font=('tahoma', 8), wrap='none') text_PatientName_in_patients.place(x=240, y=y_origin+i*gain) label_PatientName_in_patients = tk.Label(root_patients, text='Patient\' Name:', font=('tahoma', 8)) label_PatientName_in_patients.place(x=240,y=y_origin+i*gain-25) text_num = tk.Text(root_patients, width=8, height=1, font=('tahoma', 8), wrap='none') text_num.place(x=1120, y=y_origin+i*gain) i = 1 combo_Gender = ttk.Combobox(root_patients, width=20, height=1, font=('tahoma', 8)) combo_Gender.place(x=40, y=y_origin+i*gain) label_Gender = tk.Label(root_patients, text='Gender:', font=('tahoma', 8)) label_Gender.place(x=40,y=y_origin+i*gain-25) combo_Gender['values'] = ('Male', 'Female', 'Other') combo_Gender['state'] = 'readonly' text_ProbandName = tk.Text(root_patients, width=20, height=1, font=('tahoma', 8), wrap='none') text_ProbandName.place(x=240, y=y_origin+i*gain) label_ProbandName = tk.Label(root_patients, text='Proband Name:', font=('tahoma', 8)) label_ProbandName.place(x=240,y=y_origin+i*gain-25) text_proband_id = tk.Text(root_patients, width=20, height=1, font=('tahoma', 8), wrap='none') text_proband_id.place(x=440, y=y_origin+i*gain) label_proband_id = tk.Label(root_patients, text='Proband ID:', font=('tahoma', 8)) label_proband_id.place(x=440,y=y_origin+i*gain-25) text_RelationshipOfProband = tk.Text(root_patients, width=40, height=1, font=('tahoma', 8), wrap='none') text_RelationshipOfProband.place(x=640, y=y_origin+i*gain) label_RelationshipOfProband = tk.Label(root_patients, text='Relationship of Proband:', font=('tahoma', 8)) label_RelationshipOfProband.place(x=640,y=y_origin+i*gain-25) i = 2 text_InPatientID = tk.Text(root_patients, width=20, height=1, font=('tahoma', 8), wrap='none') text_InPatientID.place(x=40, y=y_origin+i*gain) label_InPatientID = tk.Label(root_patients, text='In-Patient ID:', font=('tahoma', 8)) label_InPatientID.place(x=40,y=y_origin+i*gain-25) text_CitizenID = tk.Text(root_patients, width=25, height=1, font=('tahoma', 8), wrap='none') text_CitizenID.place(x=240, y=y_origin+i*gain) label_CitizenID = tk.Label(root_patients, text='Citizen ID:', font=('tahoma', 8)) label_CitizenID.place(x=240,y=y_origin+i*gain-25) text_BirthDate = tk.Text(root_patients, width=20, height=1, font=('tahoma', 8), wrap='none') text_BirthDate.place(x=440, y=y_origin+i*gain) label_BirthDate = tk.Label(root_patients, text='Birth Date:', font=('tahoma', 8)) label_BirthDate.place(x=440,y=y_origin+i*gain-25) i = 3 text_Diagnosis1 = tk.Text(root_patients, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis1.place(x=40, y=y_origin+i*gain) label_Diagnosis1 = tk.Label(root_patients, text='Diagnosis 1:', font=('tahoma', 8)) label_Diagnosis1.place(x=40,y=y_origin+i*gain-25) text_Diagnosis2 = tk.Text(root_patients, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis2.place(x=340, y=y_origin+i*gain) label_Diagnosis2 = tk.Label(root_patients, text='Diagnosis 2:', font=('tahoma', 8)) label_Diagnosis2.place(x=340,y=y_origin+i*gain-25) text_Diagnosis3 = tk.Text(root_patients, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis3.place(x=640, y=y_origin+i*gain) label_Diagnosis3 = tk.Label(root_patients, text='Diagnosis 3:', font=('tahoma', 8)) label_Diagnosis3.place(x=640,y=y_origin+i*gain-25) i = 4 text_Diagnosis4 = tk.Text(root_patients, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis4.place(x=40, y=y_origin+i*gain) label_Diagnosis4 = tk.Label(root_patients, text='Diagnosis 4:', font=('tahoma', 8)) label_Diagnosis4.place(x=40,y=y_origin+i*gain-25) text_Diagnosis5 = tk.Text(root_patients, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis5.place(x=340, y=y_origin+i*gain) label_Diagnosis5 = tk.Label(root_patients, text='Diagnosis 5:', font=('tahoma', 8)) label_Diagnosis5.place(x=340,y=y_origin+i*gain-25) i = 5 text_Telephone = tk.Text(root_patients, width=40, height=1, font=('tahoma', 8), wrap='none') text_Telephone.place(x=40, y=y_origin+i*gain) label_Telephone = tk.Label(root_patients, text='Telephone:', font=('tahoma', 8)) label_Telephone.place(x=40,y=y_origin+i*gain-25) i = 6 text_Comments = tk.Text(root_patients, width=140, height=1, font=('tahoma', 8), wrap='none') text_Comments.place(x=40, y=y_origin+i*gain) label_Comments = tk.Label(root_patients, text='Comments:', font=('tahoma', 8)) label_Comments.place(x=40,y=y_origin+i*gain-25) # ////// Buttons ////////////////////////// button_update_sample = ttk.Button(root_patients, text='Update', width=15, command=update_patients) button_update_sample.place(x=640, y=670) button_delete_sample = ttk.Button(root_patients, text='Delete', width=15, command=delete_patient) button_delete_sample.place(x=800, y=670) button_exit = ttk.Button(root_patients, text='Exit', width=15, command=root_patients.destroy) button_exit.place(x=1240, y=790) # //////// Search Area //////////// i = 0 button_browse = ttk.Button(root_patients, text='Browse', width=15, command=browse) button_browse.place(x=1240, y=y_origin+i*gain-5) i = 2 text_InPatientID_search = tk.Text(root_patients, width=25, height=1, font=('tahoma', 8), wrap='none') text_InPatientID_search.place(x=1050, y=y_origin+i*gain) label_InPatientID_search = tk.Label(root_patients, text='Paitnet ID:', font=('tahoma', 8)) label_InPatientID_search.place(x=1050,y=y_origin+i*gain-25) button_InPatientID_search = ttk.Button(root_patients, text='Search', width=15, command=inPatientIDSearch) button_InPatientID_search.place(x=1240, y=y_origin+i*gain-5) i = 3 text_PatientName_search = tk.Text(root_patients, width=25, height=1, font=('tahoma', 8), wrap='none') text_PatientName_search.place(x=1050, y=y_origin+i*gain) label_PatientName_search = tk.Label(root_patients, text='Paitnet Name:', font=('tahoma', 8)) label_PatientName_search.place(x=1050,y=y_origin+i*gain-25) button_PatientName_search = ttk.Button(root_patients, text='Search', width=15, command=patientNameSearch) button_PatientName_search.place(x=1240, y=y_origin+i*gain-5) # ///// Browse Automatically ///////////////////// display_in_table(combination) root_patients.mainloop() def update_samples(): try: text_id_in_samples_gotten = text_id_in_samples.get('1.0', tk.END).rstrip() RackNumber_gotten = text_RackNumber.get('1.0', tk.END).rstrip() SampleID_gotten = text_SampleID.get('1.0', tk.END).rstrip() #SampleType_gotten = text_SampleType.get('1.0', tk.END).rstrip() SampleType_gotten = combo_SampleType.get().rstrip() #SampleStatus_gotten = text_SampleStatus.get('1.0', tk.END).rstrip() SampleStatus_gotten = combo_SampleStatus.get().rstrip() PatientName_in_samples_gotten = text_PatientName_in_samples.get('1.0', tk.END).rstrip() Samples_patient_id_gotten = text_Samples_patient_id.get('1.0', tk.END).rstrip() Question_mark = '(' + '?, ' * 6 + '?)' cur.execute('DELETE FROM Samples WHERE id_in_samples = ?', (text_id_in_samples_gotten,)) conn.commit() Update_values = (text_id_in_samples_gotten, RackNumber_gotten, SampleID_gotten, SampleType_gotten, SampleStatus_gotten, PatientName_in_samples_gotten, Samples_patient_id_gotten) Update_Fields = '''( id_in_samples, RackNumber, SampleID, SampleType, SampleStatus, PatientName_in_samples, patient_id) ''' #cur.execute('INSERT INTO BloodSamples (SampleID, PatientName, SampleType) VALUES (?, ?, ?)', #('201706181718000444', 'PatientName, 'Serum')) cur.execute('INSERT INTO Samples '+ Update_Fields + ' VALUES ' + Question_mark, Update_values) conn.commit() messagebox.showinfo("Updated", "Sample information successfully updated!") clear() refreshDB() display_in_table(combination) except: pass def update_patients(): try: id_in_patients_gotten = text_id_in_patients.get('1.0', tk.END).rstrip() PatientName_in_patients_gotten = text_PatientName_in_patients.get('1.0', tk.END).rstrip() PatientName_CN_gotten = text_PatientName_CN.get('1.0', tk.END).rstrip() #Gender_gotten = text_Gender.get('1.0', tk.END).rstrip() Gender_gotten = combo_Gender.get().rstrip() ProbandName_gotten = text_ProbandName.get('1.0', tk.END).rstrip() proband_id = text_proband_id.get('1.0', tk.END).rstrip() RelationshipOfProband_gotten = text_RelationshipOfProband.get('1.0', tk.END).rstrip() InPatientID_gotten = text_InPatientID.get('1.0', tk.END).rstrip() CitizenID_gotten = text_CitizenID.get('1.0', tk.END).rstrip() BirthDate_gotten = text_BirthDate.get('1.0', tk.END).rstrip() Diagnosis1_gotten = text_Diagnosis1.get('1.0', tk.END).rstrip() Diagnosis2_gotten = text_Diagnosis2.get('1.0', tk.END).rstrip() Diagnosis3_gotten = text_Diagnosis3.get('1.0', tk.END).rstrip() Diagnosis4_gotten = text_Diagnosis4.get('1.0', tk.END).rstrip() Diagnosis5_gotten = text_Diagnosis5.get('1.0', tk.END).rstrip() Telephone_gotten = text_Telephone.get('1.0', tk.END).rstrip() Comments_gotten = text_Comments.get('1.0', tk.END).rstrip() Question_mark = '(' + '?, ' * 16 + '?)' cur.execute('DELETE FROM Patients WHERE id_in_patients = ?', (id_in_patients_gotten,)) conn.commit() Update_values = (id_in_patients_gotten, PatientName_in_patients_gotten, PatientName_CN_gotten, Gender_gotten, InPatientID_gotten, CitizenID_gotten, BirthDate_gotten, ProbandName_gotten, proband_id, RelationshipOfProband_gotten, Diagnosis1_gotten, Diagnosis2_gotten, Diagnosis3_gotten, Diagnosis4_gotten, Diagnosis5_gotten, Telephone_gotten, Comments_gotten) Update_Fields = '''(id_in_patients, PatientName_in_patients, PatientName_CN, Gender, InPatientID, CitizenID, BirthDate, ProbandName, proband_id, RelationshipOfProband, Diagnosis1, Diagnosis2, Diagnosis3, Diagnosis4, Diagnosis5, Telephone, Comments) ''' #cur.execute('INSERT INTO BloodSamples (SampleID, PatientName, SampleType) VALUES (?, ?, ?)', #('201706181718000444', 'PatientName, 'Serum')) cur.execute('INSERT INTO Patients '+ Update_Fields + ' VALUES ' + Question_mark, Update_values) conn.commit() messagebox.showinfo("Updated", "Patient's information successfully updated!") clear() refreshDB() display_in_table(combination) except: pass def new_sample(): root_new_sample = tk.Tk() w = 1080 # width for the Tk root h = 320 # height for the Tk root # get screen width and height ws = root_new_sample.winfo_screenwidth() # width of the screen hs = root_new_sample.winfo_screenheight() # height of the screen # calculate x and y coordinates for the Tk root window x = (ws/2) - (w/2) y = (hs/2) - (h/2) # set the dimensions of the screen # and where it is placed root_new_sample.geometry('%dx%d+%d+%d' % (w, h, x, y)) root_new_sample.title('New Sample') time_text = str(datetime.datetime.now()) id = '' for t in time_text: if t!=' 'and t!= '-' and t != ':' and t != '.': id += t def create(): try: RackNumber_gotten = text_RackNumber.get('1.0', tk.END).rstrip() SampleID_gotten = text_SampleID.get('1.0', tk.END).rstrip() SampleType_gotten = combo_SampleType.get().rstrip() SampleStatus_gotten = combo_SampleStatus.get().rstrip() PatientName_in_samples_gotten = text_PatientName_in_samples.get('1.0', tk.END).rstrip() Samples_patient_id_gotten = text_Samples_patient_id.get('1.0', tk.END).rstrip() Question_mark = '(' + '?, ' * 5 + '?)' # Should rule out the primary key!!!!!! Update_values = (RackNumber_gotten, SampleID_gotten, SampleType_gotten, SampleStatus_gotten, PatientName_in_samples_gotten, Samples_patient_id_gotten) Update_Fields = '''( RackNumber, SampleID, SampleType, SampleStatus, PatientName_in_samples, patient_id) ''' #cur.execute('INSERT INTO BloodSamples (SampleID, PatientName, SampleType) VALUES (?, ?, ?)', #('201706181718000444', 'PatientName, 'Serum')) cur.execute('INSERT INTO Samples '+ Update_Fields + ' VALUES ' + Question_mark, Update_values) conn.commit() messagebox.showinfo("Created", "Sample information successfully created!") clear() refreshDB() display_in_table(combination) root_new_sample.destroy() except: pass # ///////////////// Main Stream ///////////////////////////////// y_origin = 100 gain = 55 i = 0 # ///////////// Raised Label Block //////////////////////////////////////////////// label_new_patient=tk.Label(root_new_sample, width=150, height=10 , relief='raised', borderwidth=1) label_new_patient.place(x=10,y=y_origin+i*gain-40) # ///////////// Routine Edits//////////////// text_RackNumber = tk.Text(root_new_sample, width=20, height=1, font=('tahoma', 8), wrap='none') text_RackNumber.place(x=40, y=y_origin+i*gain) label_RackNumber = tk.Label(root_new_sample, text='Rack Number:', font=('tahoma', 8)) label_RackNumber.place(x=40,y=y_origin+i*gain-25) text_SampleID = tk.Text(root_new_sample, width=26, height=1, font=('tahoma', 8), wrap='none') text_SampleID.place(x=240, y=y_origin+i*gain) label_SampleID = tk.Label(root_new_sample, text='Sample ID:', font=('tahoma', 8)) label_SampleID.place(x=240,y=y_origin+i*gain-25) text_SampleID.delete('1.0', tk.END) text_SampleID.insert('1.0', id) ''' text_SampleType = tk.Text(root_new_sample, width=20, height=1, font=('tahoma', 8), wrap='none') text_SampleType.place(x=440, y=y_origin+i*gain) label_SampleType = tk.Label(root_new_sample, text='Sample Type:', font=('tahoma', 8)) label_SampleType.place(x=440,y=y_origin+i*gain-25) text_SampleStatus = tk.Text(root_new_sample, width=20, height=1, font=('tahoma', 8), wrap='none') text_SampleStatus.place(x=640, y=y_origin+i*gain) label_SampleStatus = tk.Label(root_new_sample, text='Sample Status:', font=('tahoma', 8)) label_SampleStatus.place(x=640,y=y_origin+i*gain-25) ''' # Combobox control combo_SampleType = ttk.Combobox(root_new_sample, width=20, height=1, font=('tahoma', 8)) combo_SampleType.place(x=440, y=y_origin+i*gain) label_SampleType = tk.Label(root_new_sample, text='Sample Type:', font=('tahoma', 8)) label_SampleType.place(x=440,y=y_origin+i*gain-25) combo_SampleType['values'] = ('WholeBlood', 'BloodCells', 'Serum') combo_SampleType['state'] = 'readonly' combo_SampleType.current(0) combo_SampleStatus = ttk.Combobox(root_new_sample, width=20, height=1, font=('tahoma', 8)) combo_SampleStatus.place(x=640, y=y_origin+i*gain) label_SampleStatus = tk.Label(root_new_sample, text='Sample Status:', font=('tahoma', 8)) label_SampleStatus.place(x=640,y=y_origin+i*gain-25) combo_SampleStatus['values'] = ('-80Frozen', '-20Frozen', '4Refrigeration', 'RoomTemperature') combo_SampleStatus['state'] = 'readonly' combo_SampleStatus.current(0) i = 1 text_PatientName_in_samples = tk.Text(root_new_sample, width=20, height=1, font=('tahoma', 8), wrap='none') text_PatientName_in_samples.place(x=40, y=y_origin+i*gain) label_PatientName_in_samples = tk.Label(root_new_sample, text='Patient Name:', font=('tahoma', 8)) label_PatientName_in_samples.place(x=40,y=y_origin+i*gain-25) text_Samples_patient_id = tk.Text(root_new_sample, width=20, height=1, font=('tahoma', 8), wrap='none') text_Samples_patient_id.place(x=240, y=y_origin+i*gain) label_patient_id = tk.Label(root_new_sample, text='Patient ID:', font=('tahoma', 8)) label_patient_id.place(x=240,y=y_origin+i*gain-25) # ////// Buttons ////////////////////////// i = 3 button_add=ttk.Button(root_new_sample, text='Create', width=15, command=create) button_add.place(x=300, y=y_origin+i*gain) button_cancel=ttk.Button(root_new_sample, text='Cancel', width=15, command=root_new_sample.destroy) button_cancel.place(x=650, y=y_origin+i*gain) root_new_sample.mainloop() #t = datetime.datetime.now() #ts = str(datetime.datetime.now()) #datetime.datetime.strptime(ts, '%Y%m%d%I%M%S%f') def new_patient(): root_new_patient = tk.Tk() w = 980 # width for the Tk root h = 540 # height for the Tk root # get screen width and height ws = root_new_patient.winfo_screenwidth() # width of the screen hs = root_new_patient.winfo_screenheight() # height of the screen # calculate x and y coordinates for the Tk root window x = (ws/2) - (w/2) y = (hs/2) - (h/2) # set the dimensions of the screen # and where it is placed root_new_patient.geometry('%dx%d+%d+%d' % (w, h, x, y)) root_new_patient.title('New Patient') time_text = str(datetime.datetime.now()) id = '' for t in time_text: if t!=' 'and t!= '-' and t != ':' and t != '.': id += t def create(): try: PatientName_in_patients_gotten = text_PatientName_in_patients.get('1.0', tk.END).rstrip() PatientName_CN_gotten = text_PatientName_CN.get('1.0', tk.END).rstrip() Gender_gotten = combo_Gender.get().rstrip() ProbandName_gotten = text_ProbandName.get('1.0', tk.END).rstrip() proband_id = text_proband_id.get('1.0', tk.END).rstrip() RelationshipOfProband_gotten = text_RelationshipOfProband.get('1.0', tk.END).rstrip() InPatientID_gotten = text_InPatientID.get('1.0', tk.END).rstrip() CitizenID_gotten = text_CitizenID.get('1.0', tk.END).rstrip() BirthDate_gotten = text_BirthDate.get('1.0', tk.END).rstrip() Diagnosis1_gotten = text_Diagnosis1.get('1.0', tk.END).rstrip() Diagnosis2_gotten = text_Diagnosis2.get('1.0', tk.END).rstrip() Diagnosis3_gotten = text_Diagnosis3.get('1.0', tk.END).rstrip() Diagnosis4_gotten = text_Diagnosis4.get('1.0', tk.END).rstrip() Diagnosis5_gotten = text_Diagnosis5.get('1.0', tk.END).rstrip() Telephone_gotten = text_Telephone.get('1.0', tk.END).rstrip() Comments_gotten = text_Comments.get('1.0', tk.END).rstrip() Question_mark = '(' + '?, ' * 15 + '?)' Update_values = (PatientName_in_patients_gotten, PatientName_CN_gotten, Gender_gotten, InPatientID_gotten, CitizenID_gotten, BirthDate_gotten, ProbandName_gotten, proband_id, RelationshipOfProband_gotten, Diagnosis1_gotten, Diagnosis2_gotten, Diagnosis3_gotten, Diagnosis4_gotten, Diagnosis5_gotten, Telephone_gotten, Comments_gotten) Update_Fields = '''(PatientName_in_patients, PatientName_CN, Gender, InPatientID, CitizenID, BirthDate, ProbandName, proband_id, RelationshipOfProband, Diagnosis1, Diagnosis2, Diagnosis3, Diagnosis4, Diagnosis5, Telephone, Comments) ''' #cur.execute('INSERT INTO BloodSamples (SampleID, PatientName, SampleType) VALUES (?, ?, ?)', #('201706181718000444', 'PatientName, 'Serum')) cur.execute('INSERT INTO Patients '+ Update_Fields + ' VALUES ' + Question_mark, Update_values) conn.commit() messagebox.showinfo("Created", "Patient's information successfully created!") clear() refreshDB() display_in_table(combination) root_new_patient.destroy() except: pass # ///////// Main Stream //////////////////////// y_origin = 80 gain = 50 i = 0 # ///////////// Raised Label Block //////////////////////////////////////////////// label_Patients=tk.Label(root_new_patient,width=135, height=23 , relief='raised', borderwidth=1) label_Patients.place(x=10,y=y_origin+i*gain-40) # ///////////// Routine Edits//////////////// text_PatientName_CN = tk.Text(root_new_patient, width=20, height=1, font=('tahoma', 9), wrap='none') text_PatientName_CN.place(x=40, y=y_origin+i*gain) label_PatientName_CN = tk.Label(root_new_patient, text='Patient\'s Chinese Name:', font=('tahoma', 8)) label_PatientName_CN.place(x=40,y=y_origin+i*gain-25) text_PatientName_in_patients = tk.Text(root_new_patient, width=20, height=1, font=('tahoma', 8), wrap='none') text_PatientName_in_patients.place(x=240, y=y_origin+i*gain) label_PatientName_in_patients = tk.Label(root_new_patient, text='Patient\' Name:', font=('tahoma', 8)) label_PatientName_in_patients.place(x=240,y=y_origin+i*gain-25) i = 1 combo_Gender = ttk.Combobox(root_new_patient, width=20, height=1, font=('tahoma', 8)) combo_Gender.place(x=40, y=y_origin+i*gain) label_Gender = tk.Label(root_new_patient, text='Gender:', font=('tahoma', 8)) label_Gender.place(x=40,y=y_origin+i*gain-25) combo_Gender['values'] = ('Male', 'Female', 'Other') combo_Gender['state'] = 'readonly' text_ProbandName = tk.Text(root_new_patient, width=20, height=1, font=('tahoma', 8), wrap='none') text_ProbandName.place(x=240, y=y_origin+i*gain) label_ProbandName = tk.Label(root_new_patient, text='Proband Name:', font=('tahoma', 8)) label_ProbandName.place(x=240,y=y_origin+i*gain-25) text_proband_id = tk.Text(root_new_patient, width=20, height=1, font=('tahoma', 8), wrap='none') text_proband_id.place(x=440, y=y_origin+i*gain) label_proband_id = tk.Label(root_new_patient, text='Proband ID:', font=('tahoma', 8)) label_proband_id.place(x=440,y=y_origin+i*gain-25) text_RelationshipOfProband = tk.Text(root_new_patient, width=40, height=1, font=('tahoma', 8), wrap='none') text_RelationshipOfProband.place(x=640, y=y_origin+i*gain) label_RelationshipOfProband = tk.Label(root_new_patient, text='Relationship of Proband:', font=('tahoma', 8)) label_RelationshipOfProband.place(x=640,y=y_origin+i*gain-25) i = 2 text_InPatientID = tk.Text(root_new_patient, width=20, height=1, font=('tahoma', 8), wrap='none') text_InPatientID.place(x=40, y=y_origin+i*gain) label_InPatientID = tk.Label(root_new_patient, text='In-Patient ID:', font=('tahoma', 8)) label_InPatientID.place(x=40,y=y_origin+i*gain-25) text_CitizenID = tk.Text(root_new_patient, width=25, height=1, font=('tahoma', 8), wrap='none') text_CitizenID.place(x=240, y=y_origin+i*gain) label_CitizenID = tk.Label(root_new_patient, text='Citizen ID:', font=('tahoma', 8)) label_CitizenID.place(x=240,y=y_origin+i*gain-25) text_BirthDate = tk.Text(root_new_patient, width=20, height=1, font=('tahoma', 8), wrap='none') text_BirthDate.place(x=440, y=y_origin+i*gain) label_BirthDate = tk.Label(root_new_patient, text='Birth Date:', font=('tahoma', 8)) label_BirthDate.place(x=440,y=y_origin+i*gain-25) i = 3 text_Diagnosis1 = tk.Text(root_new_patient, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis1.place(x=40, y=y_origin+i*gain) label_Diagnosis1 = tk.Label(root_new_patient, text='Diagnosis 1:', font=('tahoma', 8)) label_Diagnosis1.place(x=40,y=y_origin+i*gain-25) text_Diagnosis2 = tk.Text(root_new_patient, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis2.place(x=340, y=y_origin+i*gain) label_Diagnosis2 = tk.Label(root_new_patient, text='Diagnosis 2:', font=('tahoma', 8)) label_Diagnosis2.place(x=340,y=y_origin+i*gain-25) text_Diagnosis3 = tk.Text(root_new_patient, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis3.place(x=640, y=y_origin+i*gain) label_Diagnosis3 = tk.Label(root_new_patient, text='Diagnosis 3:', font=('tahoma', 8)) label_Diagnosis3.place(x=640,y=y_origin+i*gain-25) i = 4 text_Diagnosis4 = tk.Text(root_new_patient, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis4.place(x=40, y=y_origin+i*gain) label_Diagnosis4 = tk.Label(root_new_patient, text='Diagnosis 4:', font=('tahoma', 8)) label_Diagnosis4.place(x=40,y=y_origin+i*gain-25) text_Diagnosis5 = tk.Text(root_new_patient, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis5.place(x=340, y=y_origin+i*gain) label_Diagnosis5 = tk.Label(root_new_patient, text='Diagnosis 5:', font=('tahoma', 8)) label_Diagnosis5.place(x=340,y=y_origin+i*gain-25) i = 5 text_Telephone = tk.Text(root_new_patient, width=40, height=1, font=('tahoma', 8), wrap='none') text_Telephone.place(x=40, y=y_origin+i*gain) label_Telephone = tk.Label(root_new_patient, text='Telephone:', font=('tahoma', 8)) label_Telephone.place(x=40,y=y_origin+i*gain-25) i = 6 text_Comments = tk.Text(root_new_patient, width=140, height=1, font=('tahoma', 8), wrap='none') text_Comments.place(x=40, y=y_origin+i*gain) label_Comments = tk.Label(root_new_patient, text='Comments:', font=('tahoma', 8)) label_Comments.place(x=40,y=y_origin+i*gain-25) i = 8 button_add=ttk.Button(root_new_patient, text='Create', width=15, command=create) button_add.place(x=250, y=y_origin+i*gain) button_cancel=ttk.Button(root_new_patient, text='Cancel', width=15, command=root_new_patient.destroy) button_cancel.place(x=600, y=y_origin+i*gain) root_new_patient.mainloop() #t = datetime.datetime.now() #ts = str(datetime.datetime.now()) #datetime.datetime.strptime(ts, '%Y%m%d%I%M%S%f') def delete_sample(): id_in_samples_gotten = text_id_in_samples.get('1.0', tk.END).rstrip() if id_in_samples_gotten == '': messagebox.showinfo("Empty", "There's no sample to delete. Please make sure.") else: result = messagebox.askquestion('Delete', 'Are you sure to delete this sample?', icon='warning') if result == 'yes': cur.execute('DELETE FROM Samples WHERE id_in_samples = ?', (id_in_samples_gotten,)) conn.commit() messagebox.showinfo("Deleted", "Sample has been deleted!") clear() refreshDB() display_in_table(combination) def delete_patient(): id_in_patients_gotten = text_id_in_patients.get('1.0', tk.END).rstrip() if id_in_patients_gotten == '': messagebox.showinfo("Empty", "There's no patient information to delete. Please make sure.") else: result = messagebox.askquestion('Delete', 'Are you sure to delete this patient\'s information?', icon='warning') if result == 'yes': cur.execute('DELETE FROM Patients WHERE id_in_patients = ?', (id_in_patients_gotten,)) conn.commit() messagebox.showinfo("Deleted", "The Patient's information has been deleted!") clear() refreshDB() display_in_table(combination) def patientNameSearch(): PatientName_Search_gotten = text_PatientName_Search.get('1.0', tk.END).rstrip() sqlstr = '''SELECT * FROM Samples JOIN Patients ON Samples.patient_id = Patients.id_in_patients WHERE Patients.PatientName_in_patients = ? ''' cur.execute(sqlstr, (PatientName_Search_gotten,)) items = cur.fetchall() clear() display_in_table(items) def about(): about_root=tk.Tk() w = 367 # width for the Tk root h = 230 # height for the Tk root # get screen width and height ws = about_root.winfo_screenwidth() # width of the screen hs = about_root.winfo_screenheight() # height of the screen # calculate x and y coordinates for the Tk root window x = (ws/2) - (w/2) y = (hs/2) - (h/2) # set the dimensions of the screen # and where it is placed about_root.geometry('%dx%d+%d+%d' % (w, h, x, y)) about_root.title('About Charleston Park') # Controls label_author=tk.Label(about_root,text='Charleston Park Version 1.0', font=('tahoma', 9)) label_author.place(x=90,y=30) label_author=tk.Label(about_root,text='Copyright (C) 2017', font=('tahoma', 9)) label_author.place(x=125,y=60) label_author=tk.Label(about_root,text='Author: Chuan Yang', font=('tahoma', 9)) label_author.place(x=125,y=90) label_author=tk.Label(about_root,text='Shengjing Hospital of China Medical University', font=('tahoma', 9)) label_author.place(x=50,y=120) button_refresh=ttk.Button(about_root, width=15, text='OK', command=about_root.destroy) button_refresh.place(x=135, y=170) about_root.mainloop() ## Main Flow root = tk.Tk() root.geometry("{0}x{1}+0+0".format(root.winfo_screenwidth(), root.winfo_screenheight())) #root.attributes('-fullscreen', True) root.title('CharlestonPark') root.iconbitmap('CharlestonParkIcon.ico') ### Multicolumn Listbox # Multicolumn Listbox///////////////////////////////////////////////////////////////////////////// table = ttk.Treeview(root, height="20", columns=headers, selectmode="extended") table.pack(padx=10, pady=20, ipadx=1200, ipady=200) ''' ['id_in_samples', 'RackNumber', 'SampleID', 'SampleType', 'SampleStatus', 'PatientName_in_samples', 'patient_id', 'id_in_patients', 'PatientName_in_patients', 'PatientName_CN', 'ProbandName', 'proband_id', 'RelationshipOfProband', 'InPatientID', 'CitizenID', 'BirthDate', 'Gender', 'Diagnosis1', 'Diagnosis2', 'Diagnosis3', 'Diagnosis4', 'Diagnosis5', 'Telephone', 'Comments'] ''' i = 1 header_width = [-60, 20, 100, 40, 20, -50, -30, -30, -50, -20, 30, -30, 50, 70, 80, 50, 40, 90, 90, 90, 90, 90, 60, 50] for header in headers: table.heading('#'+str(i), text=header.title(), anchor=tk.W, command=lambda c=header: sortby(table, c, 0)) table.column('#'+str(i), stretch=tk.NO, minwidth=0, width=tkf.Font().measure(header.title())+header_width[i-1]) i+=1 table.column('#0', stretch=tk.NO, minwidth=0, width=0) table.bind("<Double-1>", OnDoubleClick) #/////////////////////////////////////////////////////////////////////////////////////////// # Scrollbar//////////////////////////////////////////////////////////////////////////////////////// vsb = ttk.Scrollbar(table, orient = "vertical", command = table.yview) hsb = ttk.Scrollbar(table, orient = "horizontal", command = table.xview) ## Link scrollbars activation to top-level object table.configure(yscrollcommand = vsb.set, xscrollcommand = hsb.set) ## Link scrollbar also to every columns map(lambda col: col.configure(yscrollcommand = vsb.set, xscrollcommand = hsb.set), table) vsb.pack(side = tk.RIGHT, fill = tk.Y) hsb.pack(side = tk.BOTTOM, fill = tk.X) ### Other Controls # ///////Text Edit///////////////////////// y_origin = 580 gain = 50 i = 0 # ///////////// Raised Label Block //////////////////////////////////////////////// label_Patients=tk.Label(root,width=230, height=5 , relief='raised', borderwidth=1) label_Patients.place(x=10,y=540) label_Samples=tk.Label(root,width=230, height=15 , relief='raised', borderwidth=1) label_Samples.place(x=10,y=638) # ///////////// Routine Edits//////////////// # ///////////////Samples/////////////// text_id_in_samples = tk.Text(root, width=10, height=1, font=('tahoma', 8), wrap='none') text_id_in_samples.place(x=1220, y=y_origin+i*gain) label_id_in_samples = tk.Label(root, text='id_samples:', font=('tahoma', 8)) label_id_in_samples.place(x=1220,y=y_origin+i*gain-25) text_RackNumber = tk.Text(root, width=20, height=1, font=('tahoma', 8), wrap='none') text_RackNumber.place(x=40, y=y_origin+i*gain) label_RackNumber = tk.Label(root, text='Rack Number:', font=('tahoma', 8)) label_RackNumber.place(x=40,y=y_origin+i*gain-25) text_SampleID = tk.Text(root, width=26, height=1, font=('tahoma', 8), wrap='none') text_SampleID.place(x=240, y=y_origin+i*gain) label_SampleID = tk.Label(root, text='Sample ID:', font=('tahoma', 8)) label_SampleID.place(x=240,y=y_origin+i*gain-25) # Combobox control combo_SampleType = ttk.Combobox(root, width=20, height=1, font=('tahoma', 8)) combo_SampleType.place(x=440, y=y_origin+i*gain) label_SampleType = tk.Label(root, text='Sample Type:', font=('tahoma', 8)) label_SampleType.place(x=440,y=y_origin+i*gain-25) combo_SampleType['values'] = ('WholeBlood', 'BloodCells', 'Serum') combo_SampleType['state'] = 'readonly' combo_SampleStatus = ttk.Combobox(root, width=20, height=1, font=('tahoma', 8)) combo_SampleStatus.place(x=640, y=y_origin+i*gain) label_SampleStatus = tk.Label(root, text='Sample Status:', font=('tahoma', 8)) label_SampleStatus.place(x=640,y=y_origin+i*gain-25) combo_SampleStatus['values'] = ('-80Frozen', '-20Frozen', '4Refrigeration', 'RoomTemperature') combo_SampleStatus['state'] = 'readonly' text_PatientName_in_samples = tk.Text(root, width=20, height=1, font=('tahoma', 8), wrap='none') text_PatientName_in_samples.place(x=840, y=y_origin+i*gain) label_PatientName_in_samples = tk.Label(root, text='Patient Name:', font=('tahoma', 8)) label_PatientName_in_samples.place(x=840,y=y_origin+i*gain-25) text_Samples_patient_id = tk.Text(root, width=20, height=1, font=('tahoma', 8), wrap='none') text_Samples_patient_id.place(x=1040, y=y_origin+i*gain) label_patient_id = tk.Label(root, text='Patient ID:', font=('tahoma', 8)) label_patient_id.place(x=1040,y=y_origin+i*gain-25) i = 2 # ///////////////Patients/////////////// text_id_in_patients = tk.Text(root, width=10, height=1, font=('tahoma', 9), wrap='none') text_id_in_patients.place(x=1340, y=y_origin+i*gain) label_id_in_patients = tk.Label(root, text='id_patients:', font=('tahoma', 8)) label_id_in_patients.place(x=1340,y=y_origin+i*gain-25) text_PatientName_CN = tk.Text(root, width=20, height=1, font=('tahoma', 9), wrap='none') text_PatientName_CN.place(x=40, y=y_origin+i*gain) label_PatientName_CN = tk.Label(root, text='Patient\'s Chinese Name:', font=('tahoma', 8)) label_PatientName_CN.place(x=40,y=y_origin+i*gain-25) text_PatientName_in_patients = tk.Text(root, width=20, height=1, font=('tahoma', 8), wrap='none') text_PatientName_in_patients.place(x=240, y=y_origin+i*gain) label_PatientName_in_patients = tk.Label(root, text='Patient\' Name:', font=('tahoma', 8)) label_PatientName_in_patients.place(x=240,y=y_origin+i*gain-25) combo_Gender = ttk.Combobox(root, width=20, height=1, font=('tahoma', 8)) combo_Gender.place(x=440, y=y_origin+i*gain) label_Gender = tk.Label(root, text='Gender:', font=('tahoma', 8)) label_Gender.place(x=440,y=y_origin+i*gain-25) combo_Gender['values'] = ('Male', 'Female', 'Other') combo_Gender['state'] = 'readonly' text_ProbandName = tk.Text(root, width=20, height=1, font=('tahoma', 8), wrap='none') text_ProbandName.place(x=640, y=y_origin+i*gain) label_ProbandName = tk.Label(root, text='Proband Name:', font=('tahoma', 8)) label_ProbandName.place(x=640,y=y_origin+i*gain-25) text_proband_id = tk.Text(root, width=20, height=1, font=('tahoma', 8), wrap='none') text_proband_id.place(x=840, y=y_origin+i*gain) label_proband_id = tk.Label(root, text='Proband ID:', font=('tahoma', 8)) label_proband_id.place(x=840,y=y_origin+i*gain-25) text_RelationshipOfProband = tk.Text(root, width=40, height=1, font=('tahoma', 8), wrap='none') text_RelationshipOfProband.place(x=1040, y=y_origin+i*gain) label_RelationshipOfProband = tk.Label(root, text='Relationship of Proband:', font=('tahoma', 8)) label_RelationshipOfProband.place(x=1040,y=y_origin+i*gain-25) i = 3 text_InPatientID = tk.Text(root, width=20, height=1, font=('tahoma', 8), wrap='none') text_InPatientID.place(x=40, y=y_origin+i*gain) label_InPatientID = tk.Label(root, text='In-Patient ID:', font=('tahoma', 8)) label_InPatientID.place(x=40,y=y_origin+i*gain-25) text_CitizenID = tk.Text(root, width=25, height=1, font=('tahoma', 8), wrap='none') text_CitizenID.place(x=240, y=y_origin+i*gain) label_CitizenID = tk.Label(root, text='Citizen ID:', font=('tahoma', 8)) label_CitizenID.place(x=240,y=y_origin+i*gain-25) text_BirthDate = tk.Text(root, width=20, height=1, font=('tahoma', 8), wrap='none') text_BirthDate.place(x=440, y=y_origin+i*gain) label_BirthDate = tk.Label(root, text='Birth Date:', font=('tahoma', 8)) label_BirthDate.place(x=440,y=y_origin+i*gain-25) i = 4 text_Diagnosis1 = tk.Text(root, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis1.place(x=40, y=y_origin+i*gain) label_Diagnosis1 = tk.Label(root, text='Diagnosis 1:', font=('tahoma', 8)) label_Diagnosis1.place(x=40,y=y_origin+i*gain-25) text_Diagnosis2 = tk.Text(root, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis2.place(x=340, y=y_origin+i*gain) label_Diagnosis2 = tk.Label(root, text='Diagnosis 2:', font=('tahoma', 8)) label_Diagnosis2.place(x=340,y=y_origin+i*gain-25) text_Diagnosis3 = tk.Text(root, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis3.place(x=640, y=y_origin+i*gain) label_Diagnosis3 = tk.Label(root, text='Diagnosis 3:', font=('tahoma', 8)) label_Diagnosis3.place(x=640,y=y_origin+i*gain-25) text_Diagnosis4 = tk.Text(root, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis4.place(x=940, y=y_origin+i*gain) label_Diagnosis4 = tk.Label(root, text='Diagnosis 4:', font=('tahoma', 8)) label_Diagnosis4.place(x=940,y=y_origin+i*gain-25) text_Diagnosis5 = tk.Text(root, width=40, height=1, font=('tahoma', 8), wrap='none') text_Diagnosis5.place(x=1240, y=y_origin+i*gain) label_Diagnosis5 = tk.Label(root, text='Diagnosis 5:', font=('tahoma', 8)) label_Diagnosis5.place(x=1240,y=y_origin+i*gain-25) i = 5 text_Telephone = tk.Text(root, width=40, height=1, font=('tahoma', 8), wrap='none') text_Telephone.place(x=40, y=y_origin+i*gain) label_Telephone = tk.Label(root, text='Telephone:', font=('tahoma', 8)) label_Telephone.place(x=40,y=y_origin+i*gain-25) text_Comments = tk.Text(root, width=140, height=1, font=('tahoma', 8), wrap='none') text_Comments.place(x=340, y=y_origin+i*gain) label_Comments = tk.Label(root, text='Comments:', font=('tahoma', 8)) label_Comments.place(x=340,y=y_origin+i*gain-25) # /////Buttons////////////////////// button_browse=ttk.Button(root, text='Samples...', width=15, command=samples) button_browse.place(x=1110, y=500) button_browse=ttk.Button(root, text='Patients...', width=15, command=patients) button_browse.place(x=1240, y=500) button_browse=ttk.Button(root, text='Browse', width=15, command=browse) button_browse.place(x=1480, y=500) # ////////////// Record Num///////////////// text_num = tk.Text(root, width=8, height=1, font=('tahoma', 8), wrap='none') text_num.place(x=1400, y=500) # ////////////// Function Button ////////// # Sample Information Update & Delete button_update_sample = ttk.Button(root, text='Update', width=15, command=update_samples) button_update_sample.place(x=1345, y=580) button_delete_sample = ttk.Button(root, text='Delete', width=15, command=delete_sample) button_delete_sample.place(x=1480, y=580) # Patient Information Update & Delete button_update_patient = ttk.Button(root, text='Update', width=15, command=update_patients) button_update_patient.place(x=1345, y=730) button_delete_patient = ttk.Button(root, text='Delete', width=15, command=delete_patient) button_delete_patient.place(x=1480, y=730) # About... button_about = ttk.Button(root, text='About...', width=15, command=about) button_about.place(x=1345, y=825) # Exit button_exit = ttk.Button(root, text='Exit', width=15, command=root.destroy) button_exit.place(x=1480, y=825) # New button_new_sample = ttk.Button(root, text='New Sample...', width=20, command=new_sample) button_new_sample.place(x=30, y=500) button_new_patient = ttk.Button(root, text='New Patient...', width=20, command=new_patient) button_new_patient.place(x=190, y=500) # ///// Search Edit Box////////// text_PatientName_Search = tk.Text(root, width=20, height=1, font=('tahoma', 9), wrap='none') text_PatientName_Search.place(x=370, y=510) label_PatientName_Search = tk.Label(root, text='Patient\'s Name:', font=('tahoma', 8)) label_PatientName_Search.place(x=370,y=485) button_PatientName_Search=ttk.Button(root, text='Search', width=15, command=patientNameSearch) button_PatientName_Search.place(x=550, y=500) root.mainloop() conn.close() #t = datetime.datetime.now() #ts = str(datetime.datetime.now()) #datetime.datetime.strptime(ts, '%Y%m%d%I%M%S%f')

40.623873

115

0.609917

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0.042597

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0.033511

0.93135

0.915453

0.892243

0.867383

0.861252

0.845578

0

0.038175

0.229641

76,576

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40.623873

0.722127

0.090681

0

0.673788

0

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0.008732

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false

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0

1

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null

0

6

ed6ca7015b6c2717af86cafd1f017afac4816817

32,419

py

Python

src/cogs/smanager/sutils.py

BuddyCodez/ZENITH_BOT

8b04a1dd3b6bd9e911be2b1c96c56a2311e2a2e1

[ "MIT" ]

null

src/cogs/smanager/sutils.py

BuddyCodez/ZENITH_BOT

8b04a1dd3b6bd9e911be2b1c96c56a2311e2a2e1

[ "MIT" ]

null

src/cogs/smanager/sutils.py

BuddyCodez/ZENITH_BOT

8b04a1dd3b6bd9e911be2b1c96c56a2311e2a2e1

[ "MIT" ]

null

from discord.ext import commands import discord,string,re,asyncio from ..utils import emote,menus from datetime import datetime from discord.ext.commands.converter import RoleConverter, TextChannelConverter from contextlib import suppress class ScrimError(commands.CommandError): pass async def safe_delete(message): try: await message.delete() except (discord.Forbidden, discord.NotFound): return False else: return True class CustomEditMenu(menus.Menu): def __init__(self,*, scrim): super().__init__( timeout=120, delete_message_after=False, clear_reactions_after=True, ) self.scrim = scrim self.check = ( lambda msg: msg.channel == self.ctx.channel and msg.author == self.ctx.author ) def initial_embed(self): scrim = self.scrim fetched_slot_channel = self.bot.get_channel(scrim['slotlist_ch']) slotlist_channel = getattr( fetched_slot_channel, "mention", "`Channel Deleted!`" )# fetched_reg_ch = self.bot.get_channel(scrim['reg_ch']) registration_channel = getattr( fetched_reg_ch, "mention", "`Channel Deleted!`" )#, guild = self.bot.get_guild(scrim['guild_id']) role = discord.utils.get(guild.roles, id = scrim['correct_reg_role']) if scrim['ping_role'] is None: ping_role = None else: ping_role = discord.utils.get(guild.roles, id = scrim['ping_role']) if scrim['open_role'] is None: open_role = None else: open_role = discord.utils.get(guild.roles, id = scrim['open_role']) correct_reg_role = getattr( role, "mention", "`Role Deleted!`" )# correct_ping_role = getattr( ping_role, "mention", "`None`" )# correct_open_role = getattr( open_role, "mention", "`None`" )# open_time = (scrim['open_time']).strftime("%I:%M %p") if scrim['close_time'] is None: close_time = 'None' else: close_time = scrim['close_time'].strftime("%I:%M %p") # autoclean_time = (scrim['autoclean_time']).strftime("%I:%M %p") embed = discord.Embed(color=discord.Color.green()) embed.title = f"Edit Scrims Configuration: {scrim['c_id']}" def reactions(str): data = scrim[f'{str}'] if data is True: return f'{emote.switch_on}' return f'{emote.switch_off}' fields = { "Custom Name": f"`{scrim['custom_title']}`", "Registration Channel": registration_channel, "Slotlist Channel": slotlist_channel, "Role": correct_reg_role, "Mentions": f"`{scrim['num_correct_mentions']:,}`", "Slots": f"`{scrim['num_slots']:,}`", "Open Time": f"`{open_time}`", "Reserved Slots": f"`{scrim['reserverd_slots']}`", "Auto Clean": f"{reactions('auto_clean')}", "Auto Slotlist Send": f"{reactions('auto_slot_list_send')}", "Auto Close Time":f"{close_time}", # "Auto Clean Time":f"{autoclean_time}", "Auto Delete Denyied Messages": f"{reactions('auto_delete_on_reject')}", "Ping Role": correct_ping_role, "Open Role": correct_open_role } for idx, (name, value) in enumerate(fields.items()): embed.add_field( name=f"{emote.regional_indicator(string.ascii_uppercase[idx])} {name}:", value=value, ) embed.set_thumbnail(url=self.bot.user.avatar_url) return embed async def cembed(self, description): return await self.ctx.send( embed=discord.Embed( color=discord.Color.green(), title=f"🛠️ Scrims Manager", description=description, ) ) async def send_initial_message(self, ctx, channel): return await channel.send(embed=self.initial_embed()) async def refresh(self): self.scrim = await self.ctx.db.fetchrow('SELECT * FROM smanager.custom_data WHERE c_id = $1',self.scrim['c_id']) await self.message.edit(embed=self.initial_embed()) async def refresh_db(self): self.scrim = await self.ctx.db.fetchrow('SELECT * FROM smanager.custom_data WHERE c_id = $1',self.scrim['c_id']) # await self.message.edit(embed=self.initial_embed()) # async def update_scrim(self, **kwargs): # await Scrim.filter(pk=self.scrim['c_id']).update(**kwargs) # await self.refresh() @menus.button(emote.regional_indicator('A')) async def change_scrim_name(self, payload): msg = await self.cembed( "What is the new name you gave to give to these scrims?" ) # name = await inputs.string_input( # self.ctx, # self.check, # delete_after=True, # ) try: name = await self.ctx.bot.wait_for("message", check=self.check, timeout=120) except asyncio.TimeoutError: await self.ctx.error(f"You failed to select a title in time. Try again!") self.stop() return # if len(name) > 30: # raise ScrimError("Scrims Name cannot exceed 30 characters.") # elif len(name) < 5: # raise ScrimError("The length of new name is too short.") await safe_delete(msg) await safe_delete(name) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.custom_data SET custom_title = $1 WHERE c_id = $2',name.content,self.scrim['c_id']) await self.refresh() # await self.update_scrim(name=name) @menus.button(emote.regional_indicator('B')) async def change_registration_channel(self, payload): msg = await self.cembed("Which is the new channel for registrations?") # channel = await inputs.channel_input( # self.ctx, # self.check, # delete_after=True, # ) try: channel = await self.ctx.bot.wait_for("message", check=self.check, timeout=120) except asyncio.TimeoutError: await self.ctx.error(f"You failed to select a channel in time. Try again!") self.stop() return else: if len(channel.channel_mentions) == 0: await self.ctx.error(f'Thats Not A Channel') self.stop() return try: converted_channel = await TextChannelConverter().convert(self.ctx, channel.content) except: await self.ctx.error(f'Thats Not A Channel') self.stop() return if not converted_channel.permissions_for(self.ctx.me).read_messages: await self.ctx.error( f"{emote.error} | Unfortunately, I don't have read messages permissions in {channel.mention}." ) self.stop() return if not converted_channel.permissions_for(self.ctx.me).send_messages: await self.ctx.error( f"{emote.error} | Unfortunately, I don't have send messages permissions in {channel.mention}." ) self.stop() return await safe_delete(msg) await safe_delete(channel) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.custom_data SET reg_ch = $1 WHERE c_id = $2',converted_channel.id,self.scrim['c_id']) await self.refresh() # await self.update_scrim(registration_channel_id=channel.id) @menus.button(emote.regional_indicator('C')) async def change_slotlist_channel(self, payload): msg = await self.cembed("Which is the new channel for slotlists?") try: channel = await self.ctx.bot.wait_for("message", check=self.check, timeout=120) except asyncio.TimeoutError: await self.ctx.error(f"You failed to select a channel in time. Try again!") self.stop() return else: if len(channel.channel_mentions) == 0: await self.ctx.error(f'Thats Not A Channel') self.stop() return try: converted_channel = await TextChannelConverter().convert(self.ctx, channel.content) except: await self.ctx.error(f'Thats Not A Channel') self.stop() return if not converted_channel.permissions_for(self.ctx.me).read_messages: await self.ctx.error( f"{emote.error} | Unfortunately, I don't have read messages permissions in {channel.mention}." ) self.stop() return if not converted_channel.permissions_for(self.ctx.me).send_messages: await self.ctx.error( f"{emote.error} | Unfortunately, I don't have send messages permissions in {channel.mention}." ) self.stop() return await safe_delete(msg) await safe_delete(channel) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.custom_data SET slotlist_ch = $1 WHERE c_id = $2',converted_channel.id,self.scrim['c_id']) await self.refresh() # await self.update_scrim(slotlist_channel_id=channel.id) @menus.button(emote.regional_indicator('D')) async def change_scrim_role(self, payload): msg = await self.cembed("Which is the new role for correct registration?") # role = await inputs.role_input( # self.ctx, # self.check, # delete_after=True, # ) try: role = await self.ctx.bot.wait_for("message", check=self.check, timeout=120) except asyncio.TimeoutError: await self.ctx.error(f"You failed to select a role in time. Try again!") self.stop() return else: if len(role.role_mentions) == 0: await self.ctx.error(f'Thats Not A Role') self.stop() return try: converted_role = await RoleConverter().convert(self.ctx, role.content) except: await self.ctx.error(f'Thats Not A Role') self.stop() return if converted_role.managed: return await self.ctx.error(f"Role is an integrated role and cannot be added manually.") if converted_role > self.ctx.me.top_role: await self.ctx.error( f"{emote.error} | The position of {converted_role.mention} is above my top role. So I can't give it to anyone.\nKindly move {self.ctx.me.top_role.mention} above {converted_role.mention} in Server Settings." ) self.stop() return if self.ctx.author.id != self.ctx.guild.owner_id: if converted_role > self.ctx.author.top_role: await self.ctx.error( f"{emote.error} | The position of {converted_role.mention} is above your top role {self.ctx.author.top_role.mention}." ) self.stop() return await safe_delete(msg) await safe_delete(role) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.custom_data SET correct_reg_role = $1 WHERE c_id = $2',converted_role.id,self.scrim['c_id']) await self.refresh() # await self.update_scrim(role_id=role.id) @menus.button(emote.regional_indicator('E')) async def change_required_mentions(self, payload): msg = await self.cembed( "How many mentions are required for successful registration?" ) # mentions = await inputs.integer_input( # self.ctx, # self.check, # delete_after=True, # limits=(0, 10), # ) try: mentions = await self.bot.wait_for('message', timeout=120, check=self.check) except asyncio.TimeoutError: await self.ctx.error(f"You failed to select number of mentions requried in time. Try again!") self.stop() return if not mentions.content.isdigit(): await self.ctx.error(f'You Did Not Entered A Integer Please Try Agin By Running Same Command') self.stop() return int_mentions = int(mentions.content) await safe_delete(msg) await safe_delete(mentions) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.custom_data SET num_correct_mentions = $1 WHERE c_id = $2',int_mentions,self.scrim['c_id']) await self.refresh() # await self.update_scrim(required_mentions=mentions) @menus.button(emote.regional_indicator('F')) async def change_total_slots(self, payload): msg = await self.cembed("How many total slots are there?") # slots = await inputs.integer_input( # self.ctx, # self.check, # delete_after=True, # limits=(1, 30), # ) try: slots = await self.bot.wait_for('message', timeout=120, check=self.check) except asyncio.TimeoutError: await self.ctx.error(f"You failed to select number of slots. Try again!") self.stop() return if not slots.content.isdigit(): await self.ctx.error(f'You Did Not Entered A Integer Please Try Agin By Running Same Command') self.stop() return int_slots = int(slots.content) if int_slots > 25: await self.ctx.error(f'You Entered Slots Number More Than `25` \n**Note: Maximum Nuber Of Slots Is `25`**') self.stop() return await safe_delete(msg) await safe_delete(slots) await self.ctx.db.execute('UPDATE smanager.custom_data SET num_slots = $1 WHERE c_id = $2',int_slots,self.scrim['c_id']) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.custom_data SET allowed_slots = $2 WHERE c_id = $3',self.scrim['num_slots'] - self.scrim['reserverd_slots'],self.scrim['c_id']) await self.refresh() # await self.update_scrim(total_slots=slots) @menus.button(emote.regional_indicator('G')) async def change_open_time(self, payload): msg = await self.cembed( "**At what time should I open registrations?**" "\n> Time must be in 24h and in this format **`hh:mm`**" ) # open_time = await inputs.time_input(self.ctx, self.check, delete_after=True) try: open_time = await self.ctx.bot.wait_for("message", check=self.check, timeout=120) except asyncio.TimeoutError: await self.ctx.error(f"Timeout, You have't responsed in time. Try again!") self.stop() return else: match = re.match(r"\d+:\d+", open_time.content) if not match: await self.ctx.error(f'Thats Not A Valid Time') self.stop() return match = match.group(0) hour, minute = match.split(":") str_time = f'{hour}:{minute}' converting = datetime.strptime(str_time,'%H:%M') final_time = converting.time() await safe_delete(msg) await safe_delete(open_time) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.custom_data SET open_time = $1 WHERE c_id = $2',final_time,self.scrim['c_id']) await self.refresh() @menus.button(emote.regional_indicator('H')) async def change_reserved_slots(self, payload): msg = await self.cembed("How many reserved slots are there?") # reserverd_slots = await inputs.integer_input( # self.ctx, # self.check, # delete_after=True, # limits=(1, 30), # ) try: reserverd_slots = await self.bot.wait_for('message', timeout=120, check=self.check) except asyncio.TimeoutError: await self.ctx.error(f"You failed to select number of slots. Try again!") self.stop() return if not reserverd_slots.content.isdigit(): await self.ctx.error(f'You Did Not Entered A Integer Please Try Agin By Running Same Command') self.stop() return int_reserverd_slots = int(reserverd_slots.content) if int_reserverd_slots > self.scrim['num_slots']: await self.ctx.error(f'You Entered Reserved Slots Number More Than Total Number Of Slots, it should be less than total num of slots ') self.stop() return await safe_delete(msg) await safe_delete(reserverd_slots) await self.ctx.db.execute('UPDATE smanager.custom_data SET reserverd_slots = $1 WHERE c_id = $2',int_reserverd_slots,self.scrim['c_id']) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.custom_data SET ,allowed_slots = $1 WHERE c_id = $3',self.scrim['num_slots'] - self.scrim['reserverd_slots'],self.scrim['c_id']) await self.refresh() @menus.button(emote.regional_indicator("I")) async def change_auto_clean(self, payload): if self.scrim['auto_clean'] is True: await self.ctx.db.execute('UPDATE smanager.custom_data SET auto_clean = $1 WHERE c_id = $2',False,self.scrim['c_id']) await self.refresh() else: await self.ctx.db.execute('UPDATE smanager.custom_data SET auto_clean = $1 WHERE c_id = $2',True,self.scrim['c_id']) await self.refresh() @menus.button(emote.regional_indicator("J")) async def change_auto_slotlist_sender(self, payload): if self.scrim['auto_slot_list_send'] is True: await self.ctx.db.execute('UPDATE smanager.custom_data SET auto_slot_list_send = $1 WHERE c_id = $2',False,self.scrim['c_id']) await self.refresh() else: await self.ctx.db.execute('UPDATE smanager.custom_data SET auto_slot_list_send = $1 WHERE c_id = $2',True,self.scrim['c_id']) await self.refresh() @menus.button(emote.regional_indicator("K")) async def change_autoclose_time(self, payload): msg = await self.cembed("**At what time should I Close registrations?**" "\n> Time must be in 24h and in this format **`hh:mm`**" "\n> **Reply With `None` For No Auto Close**") try: close_time = await self.ctx.bot.wait_for("message", check=self.check, timeout=120) except asyncio.TimeoutError: await self.ctx.error(f"Timeout, You have't responsed in time. Try again!") self.stop() return else: if close_time.content == 'None': await safe_delete(msg) await safe_delete(close_time) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.custom_data SET close_time = NULL WHERE c_id = $1',self.scrim['c_id']) await self.refresh() return match = re.match(r"\d+:\d+", close_time.content) if not match: await self.ctx.error(f'Thats Not A Valid Time') self.stop() return match = match.group(0) hour, minute = match.split(":") str_time = f'{hour}:{minute}' converting = datetime.strptime(str_time,'%H:%M') final_time = converting.time() await safe_delete(msg) await safe_delete(close_time) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.custom_data SET close_time = $1 WHERE c_id = $2',final_time,self.scrim['c_id']) await self.refresh() @menus.button(emote.regional_indicator("L")) async def change_auto_delete_rejected_messages(self, payload): if self.scrim['auto_delete_on_reject'] is True: await self.ctx.db.execute('UPDATE smanager.custom_data SET auto_delete_on_reject = $1 WHERE c_id = $2',False,self.scrim['c_id']) await self.refresh() else: await self.ctx.db.execute('UPDATE smanager.custom_data SET auto_delete_on_reject = $1 WHERE c_id = $2',True,self.scrim['c_id']) await self.refresh() @menus.button(emote.regional_indicator('M')) async def change_ping_role(self, payload): msg = await self.cembed("Which is the ping role? | **Reply With `None` To Set No Ping Role**") # role = await inputs.role_input( # self.ctx, # self.check, # delete_after=True, # ) try: role = await self.ctx.bot.wait_for("message", check=self.check, timeout=120) except asyncio.TimeoutError: await self.ctx.error(f"You failed to select a role in time. Try again!") self.stop() return else: if role.content == 'None': await safe_delete(msg) await safe_delete(role) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.custom_data SET ping_role = NULL WHERE c_id = $1',self.scrim['c_id']) await self.refresh() return if len(role.role_mentions) == 0: await self.ctx.error(f'Thats Not A Role') self.stop() return try: converted_role = await RoleConverter().convert(self.ctx, role.content) except: await self.ctx.error(f'Thats Not A Role') self.stop() return if converted_role.managed: return await self.ctx.error(f"Role is an integrated role and cannot be added manually.") if converted_role > self.ctx.me.top_role: await self.ctx.error( f"{emote.error} | The position of {converted_role.mention} is above my top role. So I can't give it to anyone.\nKindly move {self.ctx.me.top_role.mention} above {converted_role.mention} in Server Settings." ) self.stop() return if self.ctx.author.id != self.ctx.guild.owner_id: if converted_role > self.ctx.author.top_role: await self.ctx.error( f"{emote.error} | The position of {converted_role.mention} is above your top role {self.ctx.author.top_role.mention}." ) self.stop() return await safe_delete(msg) await safe_delete(role) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.custom_data SET ping_role = $1 WHERE c_id = $2',converted_role.id,self.scrim['c_id']) await self.refresh() @menus.button(emote.regional_indicator('N')) async def change_open_role(self, payload): msg = await self.cembed("Which is the open role for registration? | **Reply With `None` To Set Open Role To Everyone**") try: role = await self.ctx.bot.wait_for("message", check=self.check, timeout=120) except asyncio.TimeoutError: await self.ctx.error(f"You failed to select a role in time. Try again!") self.stop() return else: if role.content == 'None': await safe_delete(msg) await safe_delete(role) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.open_role SET open_role = NULL WHERE c_id = $1',self.scrim['c_id']) await self.refresh() return if len(role.role_mentions) == 0: await self.ctx.error(f'Thats Not A Role') self.stop() return try: converted_role = await RoleConverter().convert(self.ctx, role.content) except: await self.ctx.error(f'Thats Not A Role') self.stop() return if converted_role.managed: return await self.ctx.error(f"Role is an integrated role and cannot be added manually.") if converted_role > self.ctx.me.top_role: await self.ctx.error( f"{emote.error} | The position of {converted_role.mention} is above my top role. So I can't give it to anyone.\nKindly move {self.ctx.me.top_role.mention} above {converted_role.mention} in Server Settings." ) self.stop() return if self.ctx.author.id != self.ctx.guild.owner_id: if converted_role > self.ctx.author.top_role: await self.ctx.error( f"{emote.error} | The position of {converted_role.mention} is above your top role {self.ctx.author.top_role.mention}." ) self.stop() return await safe_delete(msg) await safe_delete(role) await self.refresh_db() await self.ctx.db.execute('UPDATE smanager.custom_data SET open_role = $1 WHERE c_id = $2',converted_role.id,self.scrim['c_id']) await self.refresh() @menus.button("⏹️") async def on_stop(self, payload): self.stop() class DaysEditorMenu(menus.Menu): def __init__(self,*, scrim): super().__init__( timeout=120, delete_message_after=False, clear_reactions_after=True, ) self.scrim = scrim self.check = ( lambda msg: msg.channel == self.ctx.channel and msg.author == self.ctx.author ) def initial_embed(self): scrim = self.scrim embed = discord.Embed(color=discord.Color.green()) embed.title = f"Edit Scrims Days Configuration: {scrim['c_id']}" def reactions(str): data = scrim[f'open_on_{str}'] if data is True: return f'{emote.switch_on}' return f'{emote.switch_off}' fields = { ":one: Monday": f"{reactions('monday')}", ":two: Tuesday": f"{reactions('tuesday')}", ":three: Wednesday": f"{reactions('wednesday')}", ":four: Thursday": f"{reactions('thursday')}", ":five: Friday": f"{reactions('friday')}", ":six: Saturday": f"{reactions('saturday')}", ":seven: Sunday": f"{reactions('sunday')}", } for idx, (name, value) in enumerate(fields.items()): embed.add_field( name=f"{name}:", value=value, ) embed.set_thumbnail(url=self.bot.user.avatar_url) return embed async def cembed(self, description): return await self.ctx.send( embed=discord.Embed( color=discord.Color.green(), title=f"🛠️ Scrims Manager", description=description, ) ) async def send_initial_message(self, ctx, channel): return await channel.send(embed=self.initial_embed()) async def refresh(self): self.scrim = await self.ctx.db.fetchrow('SELECT * FROM smanager.custom_data WHERE c_id = $1',self.scrim['c_id']) await self.message.edit(embed=self.initial_embed()) @menus.button('\U00000031\U0000fe0f\U000020e3') async def change_scrim_monday(self,payload): if self.scrim['open_on_monday'] is True: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_monday = $1 WHERE c_id = $2',False,self.scrim['c_id']) await self.refresh() else: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_monday = $1 WHERE c_id = $2',True,self.scrim['c_id']) await self.refresh() @menus.button('\U00000032\U0000fe0f\U000020e3') async def change_scrim_tuesday(self,payload): if self.scrim['open_on_tuesday'] is True: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_tuesday = $1 WHERE c_id = $2',False,self.scrim['c_id']) await self.refresh() else: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_tuesday = $1 WHERE c_id = $2',True,self.scrim['c_id']) await self.refresh() @menus.button('\U00000033\U0000fe0f\U000020e3') async def change_scrim_wednesday(self,payload): if self.scrim['open_on_wednesday'] is True: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_wednesday = $1 WHERE c_id = $2',False,self.scrim['c_id']) await self.refresh() else: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_wednesday = $1 WHERE c_id = $2',True,self.scrim['c_id']) await self.refresh() @menus.button('\U00000034\U0000fe0f\U000020e3') async def change_scrim_thursday(self,payload): if self.scrim['open_on_thursday'] is True: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_thursday = $1 WHERE c_id = $2',False,self.scrim['c_id']) await self.refresh() else: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_thursday = $1 WHERE c_id = $2',True,self.scrim['c_id']) await self.refresh() @menus.button('\U00000035\U0000fe0f\U000020e3') async def change_scrim_friday(self,payload): if self.scrim['open_on_friday'] is True: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_friday = $1 WHERE c_id = $2',False,self.scrim['c_id']) await self.refresh() else: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_friday = $1 WHERE c_id = $2',True,self.scrim['c_id']) await self.refresh() @menus.button('\U00000036\U0000fe0f\U000020e3') async def change_scrim_saturday(self,payload): if self.scrim['open_on_saturday'] is True: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_saturday = $1 WHERE c_id = $2',False,self.scrim['c_id']) await self.refresh() else: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_saturday = $1 WHERE c_id = $2',True,self.scrim['c_id']) await self.refresh() @menus.button('\U00000037\U0000fe0f\U000020e3') async def change_scrim_sunday(self,payload): if self.scrim['open_on_sunday'] is True: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_sunday = $1 WHERE c_id = $2',False,self.scrim['c_id']) await self.refresh() else: await self.ctx.db.execute('UPDATE smanager.custom_data SET open_on_sunday = $1 WHERE c_id = $2',True,self.scrim['c_id']) await self.refresh() @menus.button("⏹️") async def on_stop(self, payload): self.stop() async def delete_denied_message(message: discord.Message, seconds=10): with suppress(discord.HTTPException, discord.NotFound, discord.Forbidden): await asyncio.sleep(seconds) await safe_delete(message)

44.348837

227

0.575434

3,988

32,419

4.538867

0.077733

0.080548

0.059665

0.038506

0.813104

0.798685

0.774156

0.754047

0.74007

0.722391

0

0.012779

0.314476

32,419

731

228

44.348837

0.801341

0.046732

0

0.622296

0

0.021631

0.259771

0.03656

0

1

0.009983

false

0.001664

0.009983

0

0.118136

0

null

0

1

0

null

0

6

71ff7218e646d5209579fa0d019fef35c27338d1

256

py

Python

social_auth/backends/contrib/github.py

merutak/django-social-auth

3a6e4414da0e969fcaf625a891852a3b2d7627c0

[ "BSD-2-Clause", "BSD-3-Clause" ]

863

2015-01-01T00:42:07.000Z

2022-03-30T02:47:18.000Z

social_auth/backends/contrib/github.py

merutak/django-social-auth

3a6e4414da0e969fcaf625a891852a3b2d7627c0

[ "BSD-2-Clause", "BSD-3-Clause" ]

101

2015-01-08T00:28:16.000Z

2022-03-07T03:11:19.000Z

social_auth/backends/contrib/github.py

merutak/django-social-auth

3a6e4414da0e969fcaf625a891852a3b2d7627c0

[ "BSD-2-Clause", "BSD-3-Clause" ]

256

2015-01-02T16:55:36.000Z

2022-03-04T11:10:47.000Z

from django.conf import settings if getattr(settings, 'GITHUB_ORGANIZATION', None): from social.backends.github import \ GithubOrganizationOAuth2 as GithubBackend else: from social.backends.github import GithubOAuth2 as GithubBackend

28.444444

68

0.773438

28

256

7.035714

0.607143

0.101523

0.182741

0.243655

0.304569

0

0.009434

0.171875

256

8

69

32

0.919811

0

0.074219

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

9c05c94777908e8437ee13200b5d153406112360

10,727

py

Python

CLASSIFICATION/ONLINE LEARNING/kernelonlinelearning.py

algostatml/SUPERVISED-ML

d4a1fa2e5f89986a7d6f97af07ac0886f2807a89

[ "MIT" ]

null

CLASSIFICATION/ONLINE LEARNING/kernelonlinelearning.py

algostatml/SUPERVISED-ML

d4a1fa2e5f89986a7d6f97af07ac0886f2807a89

[ "MIT" ]

null

CLASSIFICATION/ONLINE LEARNING/kernelonlinelearning.py

algostatml/SUPERVISED-ML

d4a1fa2e5f89986a7d6f97af07ac0886f2807a89

[ "MIT" ]

1

2020-09-17T19:10:49.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Nov 14 10:55:02 2019 @author: kenneth """ from __future__ import absolute_import import numpy as np from Utils.kernels import Kernels from Utils.utils import EvalC from Utils.Loss import loss from tau_update import tau class kernelpassiveAggr(EvalC, Kernels, loss, tau): def __init__(self, kernel = None, gamma = None, d = None, C = None): '''Kernellized Passive Aggressive Algorithm v1 (main) :param: kernel: string specifying type of kernel Default is linear :param: gamma: scalar value :param: d: polynomial degree. Used by polynomial kernels :param: C: penalty cost parameter ''' if not kernel: kernel = 'linear' self.kernel= kernel else: self.kernel = kernel if not gamma: gamma = 1 self.gamma = gamma else: self.gamma = gamma if not d: d = 5 self.d = d else: self.d = d if not C: C = 0.1 self.C = C else: self.C = C return def classictau(self, x, loss): ''' Classic Tau :param: x: NxD :param: loss :return: classic tau scalar value ''' return loss/self.kernelize(x, x) def f1_relax(self, x, loss, C): ''' f1 Relaxation :param: x: NxD :param: loss :param: C: constant :return: f1-relaxation scalar value ''' return min(C, loss/self.kernelize(x, x)) def f2_relax(self, x, loss, C): '''f2 Relaxation :param: x: NxD :param: loss :param: C: constant :return: f2-relaxation scalar value ''' return loss/(self.kernelize(x, x) + 2*C) def kernelize(self, x1, x2): ''' :params: x1: NxD :params: x2: NxD ''' if self.kernel == 'linear': return Kernels.linear(x1, x2) elif self.kernel == 'rbf': return Kernels.rbf(x1, x2, gamma = self.gamma) elif self.kernel == 'sigmoid': return Kernels.sigmoid(x1, x2, gamma = self.gamma) elif self.kernel == 'polynomial': return Kernels.polynomial(x1, x2, d = self.d) elif self.kernel == 'cosine': return Kernels.cosine(x1, x2) elif self.kernel == 'correlation': return Kernels.correlation(x1, x2, gamma = self.gamma) elif self.kernel == 'linrbf': return Kernels.linrbf(x1, x2, gamma = self.gamma) elif self.kernel == 'rbfpoly': return Kernels.rbfpoly(x1, x2, d = self.d, gamma = self.gamma) elif self.kernel == 'rbfcosine': return Kernels.rbfpoly(x1, x2, d = self.d, gamma = self.gamma) elif self.kernel == 'etakernel': return Kernels.etakernel(x1, x2, d = self.d, gamma = self.gamma) elif self.kernel == 'alignment': return Kernels.alignment(x1, x2) elif self.kernel == 'laplace': return Kernels.laplacian(x1, x2, gamma = self.gamma) elif self.kernel == 'locguass': return Kernels.locguass(x1, x2, d = self.d, gamma = self.gamma) elif self.kernel == 'chi': return Kernels.chi(x1) def activation(self, X, y, alpha): ''' :params: X: train data :params: X: weights ''' return 1 if y*(np.dot(alpha, self.kernelize(X, X))) >0 else 0 def cost(self, X, y, alpha): ''' :params: X: N x D :params: y: D x 1 :params: beta: weights D x 1 ''' return y*(np.dot(alpha, self.kernelize(X, X))) def pred_update(self, X, alpha): '''kernel update :param: X: N x D :param: beta: D X 1 ''' return np.sign(np.dot(alpha, self.kernelize(X, X))) def fit(self, X, Y): ''' :params: X: train data :params: Y: train labels ''' self.X = X self.Y = Y N, D = self.X.shape self.pred = np.zeros(N) self.alpha = np.ones(N) self.s_t = [] #store support set for ij, (x_i, y_i) in enumerate(zip(self.X, Y)): self.pred[ij] = self.pred_update(x_i, self.alpha[ij]) self.l_t = self.activation(x_i, y_i, self.alpha[ij]) # print(f'Cost of computation: {self.l_t}') self.t_t = self.f2_relax(x_i, self.l_t, self.C) if self.pred[ij] != y_i: self.alpha[ij] = self.alpha[ij] + self.t_t * y_i * self.kernelize(x_i, x_i) self.s_t.append(x_i) self.s_t = np.array(self.s_t) #support set self.alpha = self.alpha[: len(self.s_t)] #support set hypothesis return self def predict(self, X): ''' param: X_test = NxD feature matrix ''' return np.sign(np.dot(self.alpha, self.kernelize(self.s_t, X))) class kernelpassiveAggr_v2(EvalC, Kernels, loss, tau): def __init__(self, kernel = None, gamma = None, d = None, C = None): '''Kernellized Passive Aggressive Algorithm v2 :param: kernel: string specifying type of kernel Default is linear :param: gamma: scalar value :param: d: polynomial degree. Used by polynomial kernels :param: C: penalty cost parameter ''' if not kernel: kernel = 'linear' self.kernel= kernel else: self.kernel = kernel if not gamma: gamma = 5 self.gamma = gamma else: self.gamma = gamma if not d: d = 3 self.d = d else: self.d = d if not C: C = .1 self.C = C else: self.C = C return def classictau(self, k, loss): ''' :param: x: NxD :param: loss ''' return loss/np.linalg.norm(k) def f1_relax(self, x, loss, C): ''' :param: x: NxD :param: loss :param: C: constant ''' return min(C, loss/self.kernelize(x, x)) def f2_relax(self, x, loss, C): ''' :param: x: NxD :param: loss :param: C: constant :return: f2-relaxation ''' return loss/(self.kernelize(x, x) + 2*C) def kernelize(self, x1, x2): ''' :params: X: NxD ''' if self.kernel == 'linear': return Kernels.linear(x1, x2) elif self.kernel == 'rbf': return Kernels.rbf(x1, x2, gamma = self.gamma) elif self.kernel == 'sigmoid': return Kernels.sigmoid(x1, x2, gamma = self.gamma) elif self.kernel == 'polynomial': return Kernels.polynomial(x1, x2, d = self.d) elif self.kernel == 'cosine': return Kernels.cosine(x1, x2) elif self.kernel == 'correlation': return Kernels.correlation(x1, x2, gamma = self.gamma) elif self.kernel == 'linrbf': return Kernels.linrbf(x1, x2, gamma = self.gamma) elif self.kernel == 'rbfpoly': return Kernels.rbfpoly(x1, x2, d = self.d, gamma = self.gamma) elif self.kernel == 'rbfcosine': return Kernels.rbfpoly(x1, x2, d = self.d, gamma = self.gamma) elif self.kernel == 'etakernel': return Kernels.etakernel(x1, x2, d = self.d, gamma = self.gamma) elif self.kernel == 'alignment': return Kernels.alignment(x1, x2) elif self.kernel == 'laplace': return Kernels.laplacian(x1, x2, gamma = self.gamma) elif self.kernel == 'locguass': return Kernels.locguass(x1, x2, d = self.d, gamma = self.gamma) elif self.kernel == 'chi': return Kernels.chi(x1) def activation(self, k, y, alpha): ''' :params: X: train data :params: X: weights ''' return 1 if y*(np.dot(alpha, k)) >0 else 0 def cost(self, X, y, alpha): ''' :params: X: N x D :params: y: D x 1 :params: beta: weights D x 1 ''' return y*(np.dot(alpha, self.kernelize(X, X))) def pred_update(self, X, alpha): ''' :param: X: N x D :param: beta: D X 1 ''' return np.sign(np.dot(alpha, self.kernelize(X, X))) def yhat(self, k, alpha): ''' :param: k: N x N :param: alpha: N X 1 ''' return np.sign(np.dot(alpha, k)) def fit(self, X, Y): ''' :params: X: train data :params: Y: train labels :params: alpha: learning rate ''' self.X = X self.alpha = np.random.randn(X.shape[0]) self.pred = np.zeros(len(Y)) self.knl = self.kernelize(self.X, self.X) self.s_t = [] #store support set for ij, (x_i, y_i) in enumerate(zip(self.knl, Y)): print(f'{self.yhat(x_i, self.alpha)}') self.pred[ij] = self.yhat(x_i, self.alpha) self.l_t = self.activation(x_i, y_i, self.alpha) self.t_t = self.classictau(x_i, self.l_t) print(f'Cost of computation: {self.l_t}') print(f'tau: {self.t_t}') if self.pred[ij] != y_i: self.alpha = self.alpha + self.t_t * y_i * x_i self.s_t.append(x_i) self.s_t = np.array(self.s_t) #support set self.alpha = self.alpha[: len(self.s_t)] #support set hypothesis return self def predict(self, X): ''' param: X_test = NxD feature matrix ''' return np.sign(np.dot(self.alpha, self.kernelize(self.X, X))) #%% Testing #from sklearn.datasets import make_blobs, make_moons, make_circles #from sklearn.model_selection import train_test_split #import matplotlib.pyplot as plt ##X, y = make_blobs(n_samples=10000, centers = 2, n_features = 2, random_state=0) #color = 'coolwarm_r' #np.random.seed(1000) #plt.rcParams.update({'font.size': 8}) #plt.rc('text', usetex=True) #plt.rc('font', family='serif') #plt.rcParams['figure.dpi'] = 200 # #X, y = make_circles(n_samples=10000, factor=.05, noise=0.1) ##X = np.c_[np.ones(X.shape[0]), X] #X_train, X_test, Y_train, Y_test = train_test_split(X, y, test_size = 0.3) #psaggrkernel = kernelpassiveAggr(kernel = 'rbf').fit(X_train, Y_train) #plt.scatter(X_test[:, 0], X_test[:, 1], c = psaggrkernel.predict(X_test), s = 1, cmap = color) #EvalC.accuary_multiclass(Y_test, psaggrkernel.predict(X_test))

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charitysite/volunteer/admin.py

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[ "MIT" ]

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charitysite/volunteer/admin.py

Fazer56/Assignment3

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[ "MIT" ]

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charitysite/volunteer/admin.py

Fazer56/Assignment3

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from django.contrib import admin # Register your models here. from.models import Member from.models import Location admin.site.register(Member) admin.site.register(Location)

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venv/lib/python3.8/site-packages/pip/_vendor/requests/packages.py

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2021-11-20T04:09:18.000Z

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venv/lib/python3.8/site-packages/pip/_vendor/requests/packages.py

DesmoSearch/Desmobot

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Reading Data/lesson-7-load-playstore-apps-excel-file-with-multiple-sheets/tests/test_content_id_1.py

danielgarm/Data-Science-and-Machine-Learning

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[ "MIT" ]

null

Reading Data/lesson-7-load-playstore-apps-excel-file-with-multiple-sheets/tests/test_content_id_1.py

danielgarm/Data-Science-and-Machine-Learning

fa3e85cc42eb2e9f964ab5abb34d1c93e16d1cd9

[ "MIT" ]

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2022-01-11T21:04:51.000Z

2022-01-11T21:05:05.000Z

Reading Data/lesson-7-load-playstore-apps-excel-file-with-multiple-sheets/tests/test_content_id_1.py

danielgarm/Data-Science-and-Machine-Learning

fa3e85cc42eb2e9f964ab5abb34d1c93e16d1cd9

[ "MIT" ]

null

def test_content_id_1(): assert content_id_df.shape == (250,1)

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ingest/__init__.py

OpertusMundi/ingest

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[ "Apache-2.0" ]

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ingest/__init__.py

OpertusMundi/ingest

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ingest/__init__.py

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def create_app(): from . import app return app.app

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instances/passenger_demand/pas-20210422-1717-int18e/35.py

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instances/passenger_demand/pas-20210422-1717-int18e/35.py

LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure

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instances/passenger_demand/pas-20210422-1717-int18e/35.py

LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure

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""" PASSENGERS """ numPassengers = 34269 passenger_arriving = ( (7, 16, 8, 8, 4, 5, 3, 7, 1, 1, 2, 3, 0, 10, 14, 8, 7, 8, 8, 3, 1, 7, 2, 5, 0, 0), # 0 (13, 9, 7, 8, 8, 2, 0, 2, 3, 2, 2, 2, 0, 10, 7, 7, 2, 7, 3, 6, 2, 1, 2, 1, 0, 0), # 1 (13, 9, 8, 6, 2, 2, 3, 3, 3, 1, 0, 1, 0, 7, 7, 13, 3, 11, 3, 4, 3, 5, 2, 3, 1, 0), # 2 (17, 11, 9, 14, 5, 3, 2, 4, 4, 3, 2, 1, 0, 9, 6, 8, 8, 13, 8, 2, 2, 5, 3, 2, 2, 0), # 3 (14, 12, 10, 9, 10, 4, 7, 3, 6, 3, 1, 2, 0, 12, 10, 3, 7, 5, 8, 10, 2, 0, 8, 1, 3, 0), # 4 (13, 10, 6, 9, 8, 3, 4, 3, 4, 0, 1, 0, 0, 8, 13, 11, 5, 12, 7, 4, 2, 4, 5, 0, 1, 0), # 5 (10, 14, 9, 12, 6, 4, 5, 7, 2, 1, 2, 0, 0, 13, 10, 10, 9, 12, 5, 1, 3, 6, 4, 1, 2, 0), # 6 (13, 13, 12, 10, 5, 7, 6, 3, 7, 4, 3, 0, 0, 21, 16, 4, 12, 12, 6, 4, 4, 4, 2, 1, 0, 0), # 7 (16, 21, 9, 15, 11, 8, 3, 2, 5, 2, 1, 3, 0, 18, 16, 6, 11, 8, 11, 4, 3, 3, 6, 3, 0, 0), # 8 (12, 9, 12, 14, 13, 5, 7, 10, 6, 5, 4, 3, 0, 8, 15, 12, 6, 14, 8, 5, 4, 2, 7, 0, 1, 0), # 9 (16, 15, 9, 12, 12, 4, 8, 1, 4, 1, 2, 0, 0, 16, 13, 10, 11, 8, 6, 6, 2, 8, 3, 2, 0, 0), # 10 (21, 19, 12, 18, 13, 11, 3, 4, 9, 1, 3, 0, 0, 16, 18, 8, 8, 13, 11, 7, 3, 3, 6, 1, 2, 0), # 11 (12, 20, 11, 14, 13, 3, 5, 7, 6, 4, 0, 0, 0, 15, 7, 10, 7, 8, 9, 2, 2, 6, 5, 4, 0, 0), # 12 (13, 19, 13, 10, 9, 6, 9, 9, 15, 4, 1, 2, 0, 15, 23, 5, 6, 10, 14, 8, 3, 5, 8, 1, 1, 0), # 13 (18, 10, 9, 16, 16, 8, 7, 8, 7, 3, 0, 2, 0, 9, 12, 11, 6, 15, 7, 7, 6, 10, 3, 0, 2, 0), # 14 (19, 16, 11, 16, 13, 8, 10, 6, 8, 3, 5, 3, 0, 17, 18, 8, 16, 12, 8, 4, 3, 6, 8, 2, 1, 0), # 15 (14, 11, 11, 17, 10, 10, 6, 4, 11, 4, 0, 2, 0, 16, 9, 17, 7, 10, 5, 7, 6, 7, 7, 0, 2, 0), # 16 (17, 16, 11, 16, 15, 4, 6, 1, 4, 0, 0, 3, 0, 20, 18, 14, 11, 17, 13, 7, 4, 9, 5, 0, 1, 0), # 17 (15, 23, 17, 16, 9, 9, 4, 4, 9, 1, 1, 0, 0, 18, 12, 14, 8, 19, 8, 7, 6, 6, 3, 3, 2, 0), # 18 (22, 14, 15, 8, 12, 9, 7, 9, 11, 4, 2, 0, 0, 16, 17, 9, 11, 12, 6, 3, 5, 10, 5, 3, 3, 0), # 19 (16, 18, 17, 16, 16, 11, 4, 7, 10, 6, 3, 0, 0, 12, 9, 10, 10, 19, 7, 8, 4, 6, 7, 3, 1, 0), # 20 (15, 22, 15, 20, 15, 4, 9, 3, 7, 1, 2, 4, 0, 23, 12, 8, 18, 14, 8, 7, 4, 10, 5, 1, 2, 0), # 21 (20, 23, 22, 10, 9, 4, 7, 9, 6, 5, 3, 2, 0, 20, 15, 11, 10, 16, 6, 3, 1, 7, 7, 0, 3, 0), # 22 (19, 26, 17, 21, 11, 4, 3, 5, 11, 5, 5, 2, 0, 22, 21, 12, 5, 9, 13, 8, 4, 8, 1, 2, 2, 0), # 23 (21, 24, 13, 12, 9, 8, 8, 9, 8, 2, 2, 0, 0, 12, 12, 11, 12, 16, 6, 7, 2, 4, 6, 4, 1, 0), # 24 (14, 17, 15, 17, 19, 5, 9, 8, 5, 4, 6, 3, 0, 18, 13, 4, 7, 12, 17, 6, 4, 6, 7, 3, 2, 0), # 25 (22, 21, 19, 18, 11, 7, 8, 11, 5, 2, 1, 3, 0, 14, 18, 15, 10, 12, 5, 3, 5, 4, 3, 1, 2, 0), # 26 (16, 19, 13, 18, 10, 4, 7, 6, 8, 3, 2, 3, 0, 15, 11, 13, 12, 12, 12, 8, 6, 4, 2, 4, 1, 0), # 27 (19, 23, 12, 23, 11, 9, 10, 4, 11, 2, 0, 2, 0, 19, 12, 12, 15, 19, 13, 6, 0, 8, 3, 3, 2, 0), # 28 (18, 10, 13, 17, 10, 5, 3, 8, 8, 8, 6, 3, 0, 13, 19, 12, 6, 16, 11, 7, 6, 9, 6, 5, 1, 0), # 29 (17, 20, 14, 9, 8, 6, 8, 7, 8, 2, 1, 4, 0, 25, 18, 14, 8, 17, 8, 6, 7, 8, 10, 0, 4, 0), # 30 (22, 15, 12, 21, 4, 7, 14, 10, 5, 2, 0, 1, 0, 18, 14, 15, 8, 11, 8, 7, 5, 2, 9, 4, 0, 0), # 31 (19, 12, 12, 14, 13, 5, 10, 7, 4, 5, 2, 0, 0, 23, 15, 12, 6, 16, 16, 3, 5, 7, 7, 6, 1, 0), # 32 (23, 28, 14, 18, 13, 8, 5, 7, 11, 3, 0, 2, 0, 20, 18, 13, 17, 15, 10, 6, 7, 5, 4, 1, 3, 0), # 33 (23, 22, 10, 16, 13, 10, 3, 8, 3, 3, 3, 0, 0, 13, 14, 13, 9, 13, 10, 8, 6, 6, 6, 4, 4, 0), # 34 (25, 18, 18, 21, 10, 10, 10, 5, 6, 1, 1, 3, 0, 14, 17, 13, 12, 14, 9, 6, 7, 6, 11, 2, 0, 0), # 35 (16, 26, 25, 20, 17, 5, 4, 9, 6, 6, 2, 2, 0, 13, 11, 18, 12, 12, 14, 7, 5, 6, 2, 2, 3, 0), # 36 (22, 17, 19, 20, 13, 12, 7, 3, 8, 4, 3, 0, 0, 20, 14, 11, 16, 20, 12, 5, 7, 6, 9, 2, 5, 0), # 37 (18, 10, 15, 22, 16, 6, 5, 7, 10, 5, 1, 4, 0, 30, 20, 13, 6, 20, 5, 7, 4, 4, 4, 3, 1, 0), # 38 (20, 27, 15, 18, 13, 9, 4, 10, 8, 5, 2, 1, 0, 16, 15, 11, 10, 15, 13, 11, 2, 3, 4, 1, 0, 0), # 39 (20, 12, 12, 8, 6, 12, 8, 6, 7, 5, 4, 0, 0, 20, 16, 12, 12, 15, 16, 5, 8, 4, 7, 7, 1, 0), # 40 (8, 16, 16, 23, 16, 11, 5, 8, 10, 4, 3, 2, 0, 15, 18, 14, 9, 17, 9, 9, 4, 6, 3, 1, 1, 0), # 41 (17, 15, 19, 10, 16, 9, 10, 6, 6, 7, 1, 0, 0, 18, 14, 8, 8, 12, 7, 5, 1, 6, 4, 4, 1, 0), # 42 (23, 19, 14, 19, 17, 10, 7, 4, 7, 4, 2, 4, 0, 24, 14, 15, 10, 15, 9, 4, 6, 4, 5, 2, 0, 0), # 43 (16, 20, 16, 17, 11, 11, 10, 8, 8, 3, 1, 1, 0, 25, 16, 15, 14, 12, 10, 3, 2, 5, 4, 1, 1, 0), # 44 (17, 17, 17, 16, 13, 7, 5, 7, 5, 2, 2, 3, 0, 20, 17, 10, 11, 14, 11, 2, 4, 3, 4, 3, 1, 0), # 45 (19, 14, 16, 23, 9, 9, 6, 5, 6, 2, 1, 2, 0, 17, 13, 11, 10, 21, 9, 12, 3, 10, 2, 7, 6, 0), # 46 (20, 17, 17, 18, 15, 6, 7, 8, 8, 3, 2, 1, 0, 13, 15, 19, 7, 19, 10, 14, 3, 4, 3, 5, 1, 0), # 47 (18, 24, 14, 12, 8, 8, 8, 3, 11, 6, 3, 1, 0, 18, 18, 11, 12, 10, 10, 11, 5, 8, 5, 2, 2, 0), # 48 (18, 18, 14, 17, 17, 4, 9, 6, 7, 6, 0, 1, 0, 21, 19, 6, 12, 15, 7, 8, 2, 3, 10, 6, 4, 0), # 49 (22, 23, 11, 15, 18, 8, 5, 3, 6, 4, 1, 0, 0, 14, 19, 8, 10, 13, 6, 5, 8, 7, 6, 3, 1, 0), # 50 (25, 14, 6, 25, 14, 5, 6, 7, 5, 0, 3, 3, 0, 12, 18, 12, 8, 16, 11, 7, 8, 6, 8, 5, 1, 0), # 51 (16, 18, 12, 21, 15, 4, 7, 3, 8, 4, 5, 2, 0, 16, 18, 12, 10, 17, 7, 11, 2, 5, 1, 5, 0, 0), # 52 (14, 12, 17, 17, 11, 6, 7, 7, 8, 2, 3, 4, 0, 15, 19, 18, 8, 15, 6, 5, 5, 12, 4, 4, 1, 0), # 53 (11, 15, 11, 13, 10, 9, 6, 4, 6, 4, 0, 1, 0, 25, 19, 11, 12, 16, 9, 2, 6, 11, 8, 2, 3, 0), # 54 (14, 25, 11, 24, 19, 10, 10, 5, 8, 1, 3, 1, 0, 19, 27, 9, 6, 12, 11, 14, 4, 7, 7, 3, 3, 0), # 55 (17, 13, 22, 18, 10, 3, 5, 5, 6, 4, 2, 0, 0, 22, 20, 14, 13, 15, 11, 12, 3, 6, 5, 2, 1, 0), # 56 (19, 20, 12, 16, 15, 3, 5, 7, 4, 3, 2, 0, 0, 19, 16, 12, 9, 17, 6, 3, 5, 6, 2, 3, 2, 0), # 57 (27, 16, 14, 17, 7, 3, 4, 8, 7, 3, 3, 0, 0, 13, 18, 21, 8, 11, 4, 9, 2, 6, 5, 5, 0, 0), # 58 (17, 18, 12, 22, 10, 7, 6, 9, 5, 3, 3, 1, 0, 16, 14, 12, 17, 9, 11, 5, 4, 6, 5, 3, 5, 0), # 59 (14, 10, 14, 19, 4, 6, 7, 4, 10, 6, 1, 2, 0, 19, 21, 14, 8, 13, 3, 7, 6, 11, 11, 6, 1, 0), # 60 (19, 13, 19, 13, 14, 11, 10, 3, 5, 3, 1, 0, 0, 19, 16, 19, 9, 18, 5, 5, 1, 10, 5, 3, 1, 0), # 61 (18, 18, 11, 19, 13, 8, 6, 6, 10, 4, 4, 3, 0, 22, 13, 12, 7, 12, 8, 8, 3, 3, 3, 3, 0, 0), # 62 (17, 25, 15, 22, 17, 7, 6, 6, 10, 4, 1, 2, 0, 25, 17, 11, 7, 12, 6, 4, 4, 9, 6, 1, 0, 0), # 63 (19, 15, 17, 10, 14, 4, 5, 5, 7, 6, 1, 1, 0, 21, 15, 12, 7, 24, 7, 7, 5, 9, 4, 4, 1, 0), # 64 (14, 14, 17, 20, 9, 4, 7, 3, 10, 4, 1, 1, 0, 10, 13, 10, 12, 10, 12, 11, 5, 6, 4, 11, 0, 0), # 65 (20, 23, 16, 13, 14, 8, 10, 7, 5, 3, 1, 2, 0, 17, 17, 10, 11, 15, 4, 8, 4, 7, 3, 1, 1, 0), # 66 (23, 19, 14, 16, 10, 6, 7, 3, 3, 4, 0, 1, 0, 24, 11, 7, 10, 16, 9, 8, 7, 3, 3, 4, 2, 0), # 67 (14, 15, 8, 22, 9, 11, 5, 3, 6, 3, 2, 0, 0, 23, 15, 11, 5, 16, 4, 3, 6, 4, 2, 1, 3, 0), # 68 (20, 21, 17, 13, 12, 7, 7, 8, 3, 2, 2, 1, 0, 11, 12, 16, 18, 17, 8, 7, 7, 5, 4, 4, 0, 0), # 69 (12, 26, 14, 22, 18, 7, 7, 6, 5, 2, 2, 3, 0, 22, 13, 15, 4, 13, 12, 6, 9, 7, 8, 2, 2, 0), # 70 (15, 22, 20, 10, 23, 5, 5, 3, 6, 3, 4, 2, 0, 29, 13, 11, 8, 13, 9, 7, 4, 9, 8, 0, 2, 0), # 71 (9, 23, 23, 12, 15, 9, 8, 5, 2, 5, 2, 1, 0, 14, 10, 14, 6, 8, 7, 8, 3, 7, 6, 4, 1, 0), # 72 (25, 12, 18, 19, 15, 7, 12, 4, 9, 1, 2, 0, 0, 16, 13, 13, 8, 15, 10, 10, 4, 8, 7, 3, 2, 0), # 73 (16, 17, 16, 12, 14, 7, 8, 3, 3, 1, 4, 2, 0, 17, 23, 7, 4, 19, 14, 7, 7, 4, 6, 4, 2, 0), # 74 (19, 17, 16, 11, 19, 4, 4, 4, 6, 3, 0, 1, 0, 24, 18, 16, 9, 7, 9, 13, 3, 8, 5, 2, 1, 0), # 75 (19, 17, 11, 21, 12, 3, 9, 5, 6, 3, 4, 3, 0, 14, 14, 11, 7, 10, 10, 5, 8, 5, 6, 1, 0, 0), # 76 (19, 17, 24, 18, 13, 15, 11, 7, 2, 1, 1, 0, 0, 12, 9, 15, 5, 17, 6, 3, 2, 9, 9, 0, 3, 0), # 77 (20, 15, 12, 21, 11, 8, 6, 3, 3, 2, 1, 1, 0, 23, 15, 11, 8, 8, 5, 8, 4, 9, 4, 7, 1, 0), # 78 (19, 13, 18, 14, 15, 3, 5, 1, 8, 2, 3, 0, 0, 15, 11, 9, 8, 16, 8, 4, 11, 10, 9, 3, 6, 0), # 79 (20, 12, 14, 7, 15, 5, 3, 7, 6, 6, 2, 3, 0, 18, 21, 12, 9, 17, 4, 11, 4, 8, 5, 3, 0, 0), # 80 (13, 10, 11, 22, 11, 9, 11, 5, 7, 3, 5, 1, 0, 20, 17, 12, 8, 5, 10, 5, 4, 10, 5, 0, 1, 0), # 81 (18, 13, 18, 19, 12, 5, 10, 7, 7, 3, 3, 1, 0, 17, 17, 7, 4, 18, 7, 8, 6, 9, 4, 6, 3, 0), # 82 (10, 13, 17, 19, 17, 2, 5, 8, 4, 3, 4, 1, 0, 13, 14, 10, 15, 16, 5, 5, 4, 8, 3, 2, 2, 0), # 83 (24, 12, 11, 14, 17, 5, 8, 5, 3, 4, 0, 2, 0, 23, 14, 12, 12, 18, 3, 6, 6, 11, 3, 2, 0, 0), # 84 (23, 15, 16, 7, 11, 10, 3, 9, 7, 2, 4, 3, 0, 15, 8, 9, 8, 9, 11, 6, 5, 6, 3, 3, 3, 0), # 85 (11, 16, 15, 14, 14, 4, 6, 3, 12, 1, 1, 4, 0, 18, 13, 12, 12, 7, 11, 5, 6, 7, 3, 3, 1, 0), # 86 (21, 18, 18, 15, 12, 7, 3, 4, 8, 4, 2, 1, 0, 24, 16, 7, 8, 16, 4, 4, 5, 3, 3, 4, 3, 0), # 87 (16, 14, 11, 18, 13, 5, 8, 12, 4, 2, 0, 0, 0, 20, 18, 15, 9, 13, 3, 11, 10, 9, 3, 2, 3, 0), # 88 (22, 14, 19, 12, 15, 11, 6, 3, 9, 4, 5, 0, 0, 21, 23, 13, 4, 14, 2, 3, 6, 11, 6, 3, 0, 0), # 89 (15, 13, 15, 13, 16, 9, 4, 6, 8, 2, 3, 0, 0, 11, 14, 6, 8, 14, 8, 8, 6, 9, 2, 3, 1, 0), # 90 (14, 17, 15, 23, 15, 5, 5, 3, 8, 2, 2, 2, 0, 27, 22, 13, 3, 18, 6, 4, 5, 5, 4, 1, 1, 0), # 91 (10, 13, 13, 19, 20, 3, 4, 1, 11, 3, 4, 4, 0, 21, 20, 13, 8, 7, 9, 2, 8, 11, 3, 2, 0, 0), # 92 (24, 6, 8, 17, 11, 4, 2, 6, 4, 1, 2, 0, 0, 17, 18, 12, 9, 12, 3, 5, 6, 6, 5, 2, 1, 0), # 93 (21, 22, 13, 21, 19, 10, 7, 4, 9, 3, 1, 0, 0, 15, 13, 3, 10, 13, 5, 11, 4, 10, 8, 2, 1, 0), # 94 (15, 10, 16, 19, 10, 4, 7, 3, 11, 1, 1, 0, 0, 22, 23, 5, 10, 11, 3, 12, 4, 8, 1, 4, 2, 0), # 95 (22, 10, 11, 14, 9, 6, 8, 10, 9, 1, 4, 1, 0, 23, 18, 10, 11, 12, 7, 6, 4, 7, 3, 5, 0, 0), # 96 (20, 12, 14, 11, 16, 7, 4, 6, 10, 2, 1, 1, 0, 20, 9, 11, 3, 18, 7, 5, 2, 8, 5, 2, 0, 0), # 97 (25, 18, 17, 14, 10, 11, 7, 6, 9, 4, 5, 2, 0, 11, 15, 8, 14, 17, 4, 6, 4, 4, 5, 2, 1, 0), # 98 (19, 20, 14, 14, 17, 7, 9, 6, 5, 3, 1, 0, 0, 20, 10, 5, 13, 17, 7, 7, 4, 8, 6, 1, 1, 0), # 99 (23, 17, 17, 14, 13, 6, 7, 4, 9, 3, 4, 1, 0, 19, 14, 11, 10, 12, 11, 8, 1, 8, 5, 3, 3, 0), # 100 (24, 8, 11, 10, 13, 8, 1, 4, 5, 2, 5, 3, 0, 18, 14, 7, 7, 22, 9, 2, 7, 6, 1, 4, 0, 0), # 101 (17, 15, 18, 11, 12, 12, 3, 5, 10, 3, 1, 0, 0, 13, 7, 7, 10, 11, 5, 6, 5, 8, 10, 5, 1, 0), # 102 (17, 19, 17, 14, 15, 6, 6, 3, 5, 5, 2, 2, 0, 24, 11, 10, 11, 12, 8, 11, 3, 8, 1, 4, 1, 0), # 103 (16, 15, 6, 16, 12, 6, 5, 8, 10, 2, 2, 2, 0, 22, 19, 13, 14, 11, 10, 7, 3, 5, 2, 8, 3, 0), # 104 (29, 16, 10, 8, 12, 2, 7, 3, 12, 0, 2, 5, 0, 15, 19, 10, 7, 16, 6, 3, 6, 5, 2, 5, 1, 0), # 105 (17, 13, 15, 12, 9, 9, 7, 3, 6, 2, 1, 2, 0, 19, 9, 10, 6, 10, 8, 5, 4, 5, 6, 1, 1, 0), # 106 (12, 9, 7, 12, 17, 2, 2, 3, 7, 3, 3, 1, 0, 15, 15, 14, 4, 11, 4, 6, 7, 7, 2, 1, 3, 0), # 107 (26, 17, 8, 13, 14, 5, 8, 5, 3, 4, 3, 2, 0, 20, 18, 17, 10, 14, 10, 0, 3, 9, 5, 1, 1, 0), # 108 (24, 11, 13, 18, 16, 3, 5, 4, 8, 0, 1, 2, 0, 24, 13, 13, 10, 16, 7, 6, 3, 8, 4, 3, 0, 0), # 109 (11, 10, 12, 20, 9, 2, 5, 6, 6, 1, 0, 2, 0, 12, 16, 4, 5, 17, 4, 4, 7, 7, 8, 6, 0, 0), # 110 (15, 10, 21, 9, 9, 7, 6, 3, 7, 1, 2, 1, 0, 21, 12, 17, 5, 6, 8, 5, 3, 10, 5, 3, 0, 0), # 111 (8, 14, 15, 14, 8, 2, 5, 6, 5, 2, 2, 1, 0, 11, 15, 10, 6, 13, 7, 5, 2, 7, 11, 0, 0, 0), # 112 (14, 12, 13, 23, 11, 5, 5, 3, 6, 5, 2, 1, 0, 19, 12, 13, 7, 10, 5, 3, 5, 4, 12, 1, 0, 0), # 113 (10, 13, 13, 18, 11, 3, 7, 3, 9, 5, 3, 1, 0, 14, 10, 11, 7, 11, 7, 2, 4, 10, 3, 4, 0, 0), # 114 (17, 12, 11, 22, 12, 8, 6, 8, 11, 4, 0, 2, 0, 18, 14, 15, 4, 11, 0, 7, 3, 10, 7, 5, 0, 0), # 115 (15, 15, 14, 9, 16, 5, 2, 4, 10, 3, 2, 1, 0, 20, 14, 6, 10, 11, 7, 4, 4, 5, 6, 4, 1, 0), # 116 (19, 11, 12, 16, 15, 5, 3, 8, 6, 4, 1, 2, 0, 16, 16, 9, 7, 11, 5, 6, 5, 7, 1, 3, 0, 0), # 117 (19, 19, 11, 12, 15, 4, 5, 3, 8, 2, 0, 0, 0, 19, 17, 9, 9, 17, 10, 4, 1, 6, 6, 2, 3, 0), # 118 (19, 10, 19, 9, 15, 6, 8, 4, 8, 4, 2, 2, 0, 23, 15, 10, 3, 13, 7, 5, 8, 8, 3, 6, 1, 0), # 119 (12, 17, 9, 9, 11, 5, 8, 6, 6, 1, 0, 2, 0, 12, 24, 13, 7, 13, 7, 4, 7, 5, 8, 3, 1, 0), # 120 (14, 10, 10, 15, 11, 8, 6, 1, 3, 4, 0, 0, 0, 17, 11, 10, 3, 13, 4, 11, 6, 3, 7, 1, 3, 0), # 121 (10, 15, 20, 19, 12, 8, 3, 1, 5, 1, 0, 1, 0, 22, 15, 12, 8, 10, 10, 9, 4, 4, 2, 1, 2, 0), # 122 (18, 12, 10, 9, 11, 5, 3, 5, 5, 4, 1, 1, 0, 11, 12, 5, 5, 12, 5, 4, 4, 3, 5, 0, 2, 0), # 123 (17, 8, 9, 11, 14, 6, 1, 5, 6, 2, 0, 0, 0, 15, 15, 9, 9, 17, 5, 5, 5, 8, 3, 1, 1, 0), # 124 (25, 16, 14, 17, 15, 4, 0, 7, 5, 2, 2, 2, 0, 20, 18, 8, 15, 7, 7, 2, 2, 8, 7, 1, 0, 0), # 125 (15, 6, 17, 18, 11, 4, 4, 4, 5, 2, 1, 1, 0, 9, 9, 11, 9, 8, 9, 4, 7, 5, 2, 2, 0, 0), # 126 (18, 11, 14, 8, 8, 11, 7, 4, 7, 3, 2, 0, 0, 19, 17, 7, 10, 10, 4, 1, 8, 5, 6, 2, 1, 0), # 127 (19, 11, 15, 17, 15, 7, 6, 3, 5, 2, 1, 1, 0, 14, 17, 14, 6, 13, 2, 7, 5, 3, 7, 0, 1, 0), # 128 (19, 9, 18, 16, 17, 4, 5, 5, 3, 2, 2, 2, 0, 14, 16, 11, 8, 9, 8, 9, 2, 2, 7, 2, 0, 0), # 129 (14, 15, 10, 18, 14, 8, 6, 1, 9, 3, 1, 2, 0, 22, 12, 9, 5, 19, 4, 10, 6, 10, 7, 2, 0, 0), # 130 (17, 8, 6, 12, 5, 7, 4, 3, 8, 0, 1, 1, 0, 21, 12, 5, 10, 10, 6, 6, 3, 7, 6, 2, 1, 0), # 131 (16, 10, 11, 12, 11, 4, 5, 5, 4, 3, 1, 0, 0, 15, 6, 19, 8, 13, 9, 8, 3, 3, 6, 2, 0, 0), # 132 (12, 15, 11, 16, 11, 5, 7, 3, 5, 1, 1, 2, 0, 17, 11, 10, 7, 7, 5, 3, 1, 8, 1, 2, 2, 0), # 133 (17, 3, 17, 11, 18, 11, 4, 7, 5, 0, 1, 3, 0, 22, 13, 8, 10, 14, 5, 2, 4, 6, 7, 2, 1, 0), # 134 (6, 14, 18, 4, 12, 4, 6, 6, 4, 4, 0, 0, 0, 14, 9, 12, 6, 15, 3, 6, 5, 5, 5, 0, 1, 0), # 135 (7, 11, 15, 11, 17, 3, 2, 6, 9, 2, 2, 0, 0, 18, 8, 7, 7, 14, 7, 1, 5, 7, 2, 1, 0, 0), # 136 (17, 5, 14, 19, 14, 7, 5, 4, 5, 1, 1, 1, 0, 14, 14, 9, 11, 18, 6, 1, 0, 4, 6, 3, 3, 0), # 137 (9, 7, 14, 13, 11, 5, 7, 3, 6, 2, 2, 0, 0, 19, 11, 14, 7, 14, 9, 8, 7, 5, 6, 3, 0, 0), # 138 (9, 17, 10, 13, 14, 3, 8, 5, 2, 0, 2, 2, 0, 11, 10, 6, 9, 12, 9, 2, 6, 5, 5, 2, 1, 0), # 139 (15, 10, 10, 16, 8, 1, 3, 2, 5, 3, 1, 4, 0, 19, 19, 8, 2, 9, 5, 6, 8, 9, 6, 2, 0, 0), # 140 (14, 13, 12, 11, 12, 6, 7, 3, 3, 0, 2, 1, 0, 17, 11, 6, 8, 16, 6, 3, 2, 3, 6, 5, 1, 0), # 141 (17, 13, 20, 12, 7, 7, 1, 5, 7, 2, 2, 1, 0, 12, 10, 4, 4, 5, 2, 5, 3, 5, 6, 3, 1, 0), # 142 (21, 9, 17, 14, 5, 9, 4, 5, 5, 0, 1, 0, 0, 18, 13, 9, 12, 15, 5, 5, 4, 5, 2, 4, 1, 0), # 143 (17, 7, 14, 12, 8, 2, 6, 3, 12, 1, 2, 2, 0, 12, 10, 9, 5, 14, 11, 5, 5, 3, 8, 4, 0, 0), # 144 (18, 12, 8, 12, 11, 7, 9, 5, 8, 1, 2, 0, 0, 16, 13, 10, 7, 13, 4, 7, 4, 7, 2, 4, 3, 0), # 145 (13, 11, 9, 15, 9, 5, 4, 5, 5, 2, 2, 2, 0, 13, 12, 9, 9, 11, 6, 3, 1, 3, 3, 3, 1, 0), # 146 (13, 8, 24, 10, 7, 7, 4, 5, 8, 3, 1, 1, 0, 19, 11, 18, 7, 15, 11, 3, 2, 4, 5, 2, 3, 0), # 147 (18, 14, 9, 13, 11, 5, 13, 5, 9, 2, 2, 1, 0, 14, 7, 9, 6, 13, 8, 4, 2, 7, 4, 6, 0, 0), # 148 (18, 11, 11, 16, 8, 7, 3, 5, 2, 2, 3, 1, 0, 18, 11, 10, 10, 7, 8, 5, 5, 10, 5, 4, 0, 0), # 149 (11, 11, 9, 14, 13, 7, 3, 5, 5, 1, 2, 4, 0, 16, 15, 8, 6, 13, 6, 6, 8, 5, 5, 3, 0, 0), # 150 (17, 12, 11, 5, 11, 6, 4, 4, 8, 4, 3, 1, 0, 15, 13, 8, 5, 16, 6, 3, 3, 8, 3, 0, 0, 0), # 151 (20, 13, 16, 12, 11, 10, 9, 3, 8, 4, 0, 1, 0, 16, 11, 14, 5, 13, 5, 5, 5, 3, 5, 2, 0, 0), # 152 (12, 6, 11, 9, 7, 5, 2, 5, 6, 3, 1, 0, 0, 19, 8, 9, 4, 9, 8, 5, 4, 8, 7, 8, 2, 0), # 153 (16, 13, 14, 14, 11, 5, 4, 4, 0, 2, 2, 1, 0, 18, 6, 8, 13, 8, 6, 0, 2, 8, 5, 2, 1, 0), # 154 (14, 9, 13, 11, 15, 5, 2, 8, 9, 5, 2, 1, 0, 16, 6, 7, 5, 12, 4, 2, 3, 10, 1, 3, 0, 0), # 155 (7, 11, 9, 9, 8, 8, 4, 6, 2, 0, 1, 0, 0, 13, 13, 5, 5, 8, 12, 4, 1, 5, 3, 2, 0, 0), # 156 (12, 18, 12, 13, 11, 8, 3, 4, 7, 1, 1, 2, 0, 20, 15, 8, 5, 8, 5, 5, 5, 9, 4, 4, 2, 0), # 157 (11, 8, 15, 11, 10, 5, 5, 4, 8, 3, 1, 0, 0, 17, 7, 8, 11, 5, 4, 3, 4, 10, 3, 5, 0, 0), # 158 (13, 15, 12, 8, 10, 6, 5, 6, 2, 3, 0, 0, 0, 13, 12, 5, 5, 14, 8, 6, 3, 8, 3, 3, 1, 0), # 159 (9, 8, 8, 9, 6, 6, 6, 5, 2, 4, 7, 2, 0, 20, 14, 3, 8, 6, 7, 2, 3, 4, 3, 1, 1, 0), # 160 (14, 14, 13, 8, 9, 3, 2, 3, 8, 1, 2, 1, 0, 14, 16, 9, 9, 9, 3, 2, 4, 5, 3, 2, 1, 0), # 161 (10, 12, 15, 14, 5, 5, 3, 4, 2, 1, 0, 2, 0, 11, 18, 6, 7, 9, 6, 3, 7, 6, 3, 2, 0, 0), # 162 (13, 7, 10, 16, 15, 8, 4, 3, 5, 2, 1, 0, 0, 20, 10, 5, 3, 7, 4, 4, 5, 5, 5, 2, 1, 0), # 163 (12, 10, 16, 14, 11, 5, 0, 6, 3, 1, 1, 0, 0, 16, 11, 11, 5, 12, 2, 4, 4, 4, 3, 5, 1, 0), # 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176 (3, 7, 8, 18, 5, 3, 2, 1, 2, 1, 1, 0, 0, 9, 5, 4, 3, 14, 5, 3, 1, 4, 1, 2, 0, 0), # 177 (10, 5, 9, 2, 7, 2, 1, 3, 5, 1, 1, 0, 0, 12, 2, 2, 1, 3, 3, 4, 1, 4, 4, 3, 0, 0), # 178 (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 179 ) station_arriving_intensity = ( (9.037558041069182, 9.9455194074477, 9.380309813302512, 11.18640199295418, 9.998434093697302, 5.64957887766721, 7.462864107673047, 8.375717111362961, 10.962178311902413, 7.124427027940266, 7.569477294994085, 8.816247140951113, 9.150984382641052), # 0 (9.637788873635953, 10.602109249460566, 9.999623864394273, 11.925259655897909, 10.660482607453627, 6.0227704512766005, 7.955044094274649, 8.927124701230275, 11.686041587399236, 7.59416524609887, 8.069573044721038, 9.398189989465838, 9.755624965391739), # 1 (10.236101416163518, 11.256093307603763, 10.616476113985344, 12.66117786839663, 11.320133352749538, 6.3944732061224006, 8.445273314329269, 9.476325446227955, 12.407016252379588, 8.062044795036982, 8.567681667797364, 9.9778187736955, 10.357856690777442), # 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175 (7.783401338172574, 5.43939752805582, 7.141334500348018, 7.240217585455879, 6.497598131222556, 3.2431880162330953, 2.4350904747283635, 2.493898669360387, 3.5993132003319848, 1.2727074498561304, 1.0050261315038191, 0.6044444151498269, 0.0, 8.663860992238513, 6.648888566648095, 5.025130657519095, 3.8181223495683905, 7.1986264006639695, 3.4914581371045417, 2.4350904747283635, 2.3165628687379254, 3.248799065611278, 2.4134058618186267, 1.4282669000696038, 0.49449068436871096, 0.0), # 176 (7.364651114019479, 5.1422434428188195, 6.763894774163046, 6.8548779138368925, 6.1536241794411275, 3.0729708143032117, 2.303209722771056, 2.3632421869755245, 3.411239266567542, 1.2044820345067013, 0.9512625957354108, 0.5722293043286669, 0.0, 8.204835340308824, 6.2945223476153345, 4.756312978677054, 3.6134461035201033, 6.822478533135084, 3.3085390617657344, 2.303209722771056, 2.1949791530737226, 3.0768120897205637, 2.284959304612298, 1.3527789548326095, 0.4674766766198928, 0.0), # 177 (6.944302033758534, 4.8446646126595665, 6.383962142986221, 6.467413861806007, 5.807464529102536, 2.901438231926097, 2.170966094473966, 2.2315417532170994, 3.2215818063414514, 1.1359591891952627, 0.897243665621434, 0.5398446619322442, 0.0, 7.742963105690853, 5.938291281254685, 4.486218328107169, 3.4078775675857873, 6.443163612682903, 3.1241584545039394, 2.170966094473966, 2.072455879947212, 2.903732264551268, 2.1558046206020025, 1.2767924285972443, 0.44042405569632426, 0.0), # 178 (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179 ) passenger_allighting_rate = ( (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 0 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 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166 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 167 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 168 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 169 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 170 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 171 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 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175 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 176 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 177 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 178 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 179 ) """ parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html """ #initial entropy entropy = 8991598675325360468762009371570610170 #index for seed sequence child child_seed_index = ( 1, # 0 34, # 1 )

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py

Python

tracardi/service/dot_notation_validator.py

bytepl/tracardi

e8fa4684fa6bd3d05165fe48aa925fc6c1e74923

[ "MIT" ]

153

2021-11-02T00:35:41.000Z

2022-03-25T16:37:44.000Z

tracardi/service/dot_notation_validator.py

bytepl/tracardi

e8fa4684fa6bd3d05165fe48aa925fc6c1e74923

[ "MIT" ]

243

2021-10-17T17:00:22.000Z

2022-03-28T10:13:34.000Z

tracardi/service/dot_notation_validator.py

bytepl/tracardi

e8fa4684fa6bd3d05165fe48aa925fc6c1e74923

[ "MIT" ]

14

2021-10-17T11:39:04.000Z

2022-03-14T14:44:02.000Z

import re def is_dot_notation_valid(value: str) -> bool: return re.fullmatch(r"(payload|event|flow|profile|session)@[a-zA-Z0-9_.\-]*$", value) is not None

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92e78734992ba5252c3e56ba944aef6f928074ce

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py

Python

cognibench/models/decision_making/__init__.py

fmelinscak/cognibench

372513b8756a342c0df222dcea5ff6d1d69fbcec

[ "MIT" ]

3

2020-07-31T00:42:40.000Z

2021-03-19T03:08:19.000Z

cognibench/models/decision_making/__init__.py

fmelinscak/cognibench

372513b8756a342c0df222dcea5ff6d1d69fbcec

[ "MIT" ]

null

cognibench/models/decision_making/__init__.py

fmelinscak/cognibench

372513b8756a342c0df222dcea5ff6d1d69fbcec

[ "MIT" ]

1

2020-11-13T23:13:34.000Z

from .randomrespond import RandomRespondModel from .rwck import RWCKModel, RWModel, CKModel from .nwsls import NWSLSModel from .randomrespond import RandomRespondAgent from .rwck import RWCKAgent from .nwsls import NWSLSAgent

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py

Python

graphgallery/gallery/__init__.py

TobiasSchmidtDE/GraphGallery

e627e4f454e0ce3813171305a524f5190a6e6f45

[ "MIT" ]

null

graphgallery/gallery/__init__.py

TobiasSchmidtDE/GraphGallery

e627e4f454e0ce3813171305a524f5190a6e6f45

[ "MIT" ]

null

graphgallery/gallery/__init__.py

TobiasSchmidtDE/GraphGallery

e627e4f454e0ce3813171305a524f5190a6e6f45

[ "MIT" ]

null

from .model import Model from .trainer import Trainer from . import nodeclas from . import linkpred from . import graphclas from . import embedding

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py

Python

hack_itau_quant/denoising/__init__.py

turing-usp/hack-itau-quant

f743d3a58ad2aacc7d7ec499ba4bf5bbadd7fb15

[ "MIT" ]

2

2021-05-18T18:54:42.000Z

2021-07-04T04:16:40.000Z

hack_itau_quant/denoising/__init__.py

turing-usp/hack-itau-quant

f743d3a58ad2aacc7d7ec499ba4bf5bbadd7fb15

[ "MIT" ]

3

2021-05-11T01:05:23.000Z

2021-05-11T01:05:35.000Z

hack_itau_quant/denoising/__init__.py

turing-usp/hack-itau-quant

f743d3a58ad2aacc7d7ec499ba4bf5bbadd7fb15

[ "MIT" ]

1

2022-01-11T20:02:07.000Z

from .denoising import Denoising

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py

Python

onadata/settings/__init__.py

ubpd/kobocat

45906e07e8f05c30e3e26bab5570a8ab1ee264db

[ "BSD-2-Clause" ]

null

onadata/settings/__init__.py

ubpd/kobocat

45906e07e8f05c30e3e26bab5570a8ab1ee264db

[ "BSD-2-Clause" ]

null

onadata/settings/__init__.py

ubpd/kobocat

45906e07e8f05c30e3e26bab5570a8ab1ee264db

[ "BSD-2-Clause" ]

null

# coding: utf-8 from __future__ import unicode_literals, print_function, division, absolute_import

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py

Python

corehq/messaging/scheduling/tests/test_recipients.py

dankohn/commcare-hq

42c40ad5881485d5192aab3dea5696942ee40810

[ "BSD-3-Clause" ]

null

corehq/messaging/scheduling/tests/test_recipients.py

dankohn/commcare-hq

42c40ad5881485d5192aab3dea5696942ee40810

[ "BSD-3-Clause" ]

null

corehq/messaging/scheduling/tests/test_recipients.py

dankohn/commcare-hq

42c40ad5881485d5192aab3dea5696942ee40810

[ "BSD-3-Clause" ]

null

import contextlib import uuid from datetime import time from django.test import TestCase from mock import patch from corehq.apps.casegroups.models import CommCareCaseGroup from corehq.apps.data_interfaces.tests.util import create_case from corehq.apps.domain.shortcuts import create_domain from corehq.apps.groups.models import Group from corehq.apps.hqcase.utils import update_case from corehq.apps.locations.models import SQLLocation from corehq.apps.locations.tests.util import make_loc, setup_location_types from corehq.apps.sms.models import PhoneNumber from corehq.apps.users.models import CommCareUser, WebUser from corehq.form_processor.interfaces.dbaccessors import CaseAccessors from corehq.form_processor.tests.utils import run_with_all_backends from corehq.form_processor.utils import is_commcarecase from corehq.messaging.pillow import get_case_messaging_sync_pillow from corehq.messaging.scheduling.models import ( Content, SMSContent, TimedEvent, TimedSchedule, ) from corehq.messaging.scheduling.scheduling_partitioned.models import ( CaseScheduleInstanceMixin, CaseTimedScheduleInstance, ScheduleInstance, ) from corehq.messaging.scheduling.tests.util import delete_timed_schedules from corehq.util.test_utils import create_test_case, set_parent_case from testapps.test_pillowtop.utils import process_pillow_changes class SchedulingRecipientTest(TestCase): domain = 'scheduling-recipient-test' @classmethod def setUpClass(cls): super(SchedulingRecipientTest, cls).setUpClass() cls.domain_obj = create_domain(cls.domain) cls.location_types = setup_location_types(cls.domain, ['country', 'state', 'city']) cls.country_location = make_loc('usa', domain=cls.domain, type='country') cls.state_location = make_loc('ma', domain=cls.domain, type='state', parent=cls.country_location) cls.city_location = make_loc('boston', domain=cls.domain, type='city', parent=cls.state_location) cls.mobile_user = CommCareUser.create(cls.domain, 'mobile', 'abc', None, None) cls.mobile_user.set_location(cls.city_location) cls.mobile_user2 = CommCareUser.create(cls.domain, 'mobile2', 'abc', None, None) cls.mobile_user2.set_location(cls.state_location) cls.mobile_user3 = CommCareUser.create(cls.domain, 'mobile3', 'abc', None, None) cls.mobile_user3.user_data['role'] = 'pharmacist' cls.mobile_user3.save() cls.mobile_user4 = CommCareUser.create(cls.domain, 'mobile4', 'abc', None, None) cls.mobile_user4.user_data['role'] = 'nurse' cls.mobile_user4.save() cls.mobile_user5 = CommCareUser.create(cls.domain, 'mobile5', 'abc', None, None) cls.mobile_user5.user_data['role'] = ['nurse', 'pharmacist'] cls.mobile_user5.save() cls.web_user = WebUser.create(cls.domain, 'web', 'abc', None, None) cls.web_user2 = WebUser.create(cls.domain, 'web2', 'abc', None, None) cls.web_user2.user_data['role'] = 'nurse' cls.web_user2.save() cls.group = Group(domain=cls.domain, users=[cls.mobile_user.get_id]) cls.group.save() cls.group2 = Group( domain=cls.domain, users=[ cls.mobile_user.get_id, cls.mobile_user3.get_id, cls.mobile_user4.get_id, cls.mobile_user5.get_id, ] ) cls.group2.save() cls.case_group = CommCareCaseGroup(domain=cls.domain) cls.case_group.save() cls.process_pillow_changes = process_pillow_changes('DefaultChangeFeedPillow') cls.process_pillow_changes.add_pillow(get_case_messaging_sync_pillow()) @classmethod def tearDownClass(cls): cls.domain_obj.delete() super(SchedulingRecipientTest, cls).tearDownClass() def tearDown(self): delete_timed_schedules(self.domain) PhoneNumber.objects.filter(domain=self.domain).delete() super(SchedulingRecipientTest, self).tearDown() def user_ids(self, users): return [user.get_id for user in users] @run_with_all_backends def test_specific_case_recipient(self): with create_case(self.domain, 'person') as case: instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_CASE, recipient_id=case.case_id, ) self.assertEqual(instance.recipient.case_id, case.case_id) instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_CASE, recipient_id='id-does-not-exist', ) self.assertIsNone(instance.recipient) def test_specific_mobile_worker_recipient(self): instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_MOBILE_WORKER, recipient_id=self.mobile_user.get_id, ) self.assertTrue(isinstance(instance.recipient, CommCareUser)) self.assertEqual(instance.recipient.get_id, self.mobile_user.get_id) instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_MOBILE_WORKER, recipient_id=self.web_user.get_id, ) self.assertIsNone(instance.recipient) instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_MOBILE_WORKER, recipient_id='id-does-not-exist', ) self.assertIsNone(instance.recipient) def test_specific_web_user_recipient(self): instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_WEB_USER, recipient_id=self.web_user.get_id, ) self.assertTrue(isinstance(instance.recipient, WebUser)) self.assertEqual(instance.recipient.get_id, self.web_user.get_id) instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_WEB_USER, recipient_id=self.mobile_user.get_id, ) self.assertIsNone(instance.recipient) instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_WEB_USER, recipient_id='id-does-not-exist', ) self.assertIsNone(instance.recipient) def test_specific_case_group_recipient(self): instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_CASE_GROUP, recipient_id=self.case_group.get_id, ) self.assertTrue(isinstance(instance.recipient, CommCareCaseGroup)) self.assertEqual(instance.recipient.get_id, self.case_group.get_id) instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_CASE_GROUP, recipient_id='id-does-not-exist', ) self.assertIsNone(instance.recipient) def test_specific_group_recipient(self): instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_USER_GROUP, recipient_id=self.group.get_id, ) self.assertTrue(isinstance(instance.recipient, Group)) self.assertEqual(instance.recipient.get_id, self.group.get_id) instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_USER_GROUP, recipient_id='id-does-not-exist', ) self.assertIsNone(instance.recipient) def test_specific_location_recipient(self): instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_LOCATION, recipient_id=self.city_location.location_id, ) self.assertTrue(isinstance(instance.recipient, SQLLocation)) self.assertEqual(instance.recipient.location_id, self.city_location.location_id) instance = ScheduleInstance( domain=self.domain, recipient_type=ScheduleInstance.RECIPIENT_TYPE_LOCATION, recipient_id='id-does-not-exist', ) self.assertIsNone(instance.recipient) @run_with_all_backends def test_case_recipient(self): with create_case(self.domain, 'person') as case: instance = CaseTimedScheduleInstance(domain=self.domain, case_id=case.case_id, recipient_type='Self') self.assertTrue(is_commcarecase(instance.recipient)) self.assertEqual(instance.recipient.case_id, case.case_id) @run_with_all_backends def test_owner_recipient(self): with create_case(self.domain, 'person', owner_id=self.city_location.location_id) as case: instance = CaseTimedScheduleInstance(domain=self.domain, case_id=case.case_id, recipient_type='Owner') self.assertTrue(isinstance(instance.recipient, SQLLocation)) self.assertEqual(instance.recipient.location_id, self.city_location.location_id) with create_case(self.domain, 'person', owner_id=self.group.get_id) as case: instance = CaseTimedScheduleInstance(domain=self.domain, case_id=case.case_id, recipient_type='Owner') self.assertTrue(isinstance(instance.recipient, Group)) self.assertEqual(instance.recipient.get_id, self.group.get_id) with create_case(self.domain, 'person', owner_id=self.mobile_user.get_id) as case: instance = CaseTimedScheduleInstance(domain=self.domain, case_id=case.case_id, recipient_type='Owner') self.assertTrue(isinstance(instance.recipient, CommCareUser)) self.assertEqual(instance.recipient.get_id, self.mobile_user.get_id) with create_case(self.domain, 'person', owner_id=self.web_user.get_id) as case: instance = CaseTimedScheduleInstance(domain=self.domain, case_id=case.case_id, recipient_type='Owner') self.assertTrue(isinstance(instance.recipient, WebUser)) self.assertEqual(instance.recipient.get_id, self.web_user.get_id) with create_case(self.domain, 'person') as case: instance = CaseTimedScheduleInstance(domain=self.domain, case_id=case.case_id, recipient_type='Owner') self.assertIsNone(instance.recipient) @run_with_all_backends def test_last_submitting_user_recipient(self): with create_test_case(self.domain, 'person', 'Joe', user_id=self.mobile_user.get_id) as case: instance = CaseTimedScheduleInstance(domain=self.domain, case_id=case.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_LAST_SUBMITTING_USER) self.assertTrue(isinstance(instance.recipient, CommCareUser)) self.assertEqual(instance.recipient.get_id, self.mobile_user.get_id) with create_test_case(self.domain, 'person', 'Joe', user_id=self.web_user.get_id) as case: instance = CaseTimedScheduleInstance(domain=self.domain, case_id=case.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_LAST_SUBMITTING_USER) self.assertTrue(isinstance(instance.recipient, WebUser)) self.assertEqual(instance.recipient.get_id, self.web_user.get_id) with create_test_case(self.domain, 'person', 'Joe', user_id='system') as case: instance = CaseTimedScheduleInstance(domain=self.domain, case_id=case.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_LAST_SUBMITTING_USER) self.assertIsNone(instance.recipient) @run_with_all_backends def test_parent_case_recipient(self): with create_case(self.domain, 'person') as child, create_case(self.domain, 'person') as parent: instance = CaseTimedScheduleInstance(domain=self.domain, case_id=child.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_PARENT_CASE) self.assertIsNone(instance.recipient) set_parent_case(self.domain, child, parent, relationship='child', identifier='parent') instance = CaseTimedScheduleInstance(domain=self.domain, case_id=child.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_PARENT_CASE) self.assertEqual(instance.recipient.case_id, parent.case_id) @run_with_all_backends def test_child_case_recipient(self): with create_case(self.domain, 'person') as child_1, \ create_case(self.domain, 'person') as child_2, \ create_case(self.domain, 'person') as parent: instance = CaseTimedScheduleInstance(domain=self.domain, case_id=parent.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_ALL_CHILD_CASES) self.assertIsInstance(instance.recipient, list) self.assertEqual(len(instance.recipient), 0) set_parent_case(self.domain, child_1, parent, relationship='child', identifier='parent') set_parent_case(self.domain, child_2, parent, relationship='child', identifier='parent') instance = CaseTimedScheduleInstance(domain=self.domain, case_id=parent.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_ALL_CHILD_CASES) self.assertIsInstance(instance.recipient, list) self.assertEqual(len(instance.recipient), 2) self.assertItemsEqual([c.case_id for c in instance.recipient], [child_1.case_id, child_2.case_id]) @run_with_all_backends def test_host_case_owner_location(self): with create_test_case(self.domain, 'test-extension-case', 'name') as extension_case: with create_test_case(self.domain, 'test-host-case', 'name') as host_case: update_case(self.domain, host_case.case_id, case_properties={'owner_id': self.city_location.location_id}) set_parent_case(self.domain, extension_case, host_case, relationship='extension') # Test the recipient is returned correctly instance = CaseTimedScheduleInstance( domain=self.domain, case_id=extension_case.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_CUSTOM, recipient_id='HOST_CASE_OWNER_LOCATION', ) self.assertIsInstance(instance.recipient, SQLLocation) self.assertEqual(instance.recipient.location_id, self.city_location.location_id) # Test location that does not exist update_case(self.domain, host_case.case_id, case_properties={'owner_id': 'does-not-exist'}) instance = CaseTimedScheduleInstance( domain=self.domain, case_id=extension_case.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_CUSTOM, recipient_id='HOST_CASE_OWNER_LOCATION', ) self.assertIsNone(instance.recipient) # Test on a case that is not an extension case instance = CaseTimedScheduleInstance( domain=self.domain, case_id=host_case.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_CUSTOM, recipient_id='HOST_CASE_OWNER_LOCATION', ) self.assertIsNone(instance.recipient) # Test with case id that doesn't exist instance = CaseTimedScheduleInstance( domain=self.domain, case_id='does-not-exist', recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_CUSTOM, recipient_id='HOST_CASE_OWNER_LOCATION', ) self.assertIsNone(instance.recipient) @run_with_all_backends def test_host_case_owner_location_parent(self): with create_test_case(self.domain, 'test-extension-case', 'name') as extension_case: with create_test_case(self.domain, 'test-host-case', 'name') as host_case: update_case(self.domain, host_case.case_id, case_properties={'owner_id': self.city_location.location_id}) set_parent_case(self.domain, extension_case, host_case, relationship='extension') # Test the recipient is returned correctly instance = CaseTimedScheduleInstance( domain=self.domain, case_id=extension_case.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_CUSTOM, recipient_id='HOST_CASE_OWNER_LOCATION_PARENT', ) self.assertIsInstance(instance.recipient, SQLLocation) self.assertEqual(instance.recipient.location_id, self.state_location.location_id) # Test no parent location update_case(self.domain, host_case.case_id, case_properties={'owner_id': self.country_location.location_id}) instance = CaseTimedScheduleInstance( domain=self.domain, case_id=extension_case.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_CUSTOM, recipient_id='HOST_CASE_OWNER_LOCATION_PARENT', ) self.assertIsNone(instance.recipient) # Test location that does not exist update_case(self.domain, host_case.case_id, case_properties={'owner_id': 'does-not-exist'}) instance = CaseTimedScheduleInstance( domain=self.domain, case_id=extension_case.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_CUSTOM, recipient_id='HOST_CASE_OWNER_LOCATION_PARENT', ) self.assertIsNone(instance.recipient) # Test on a case that is not an extension case instance = CaseTimedScheduleInstance( domain=self.domain, case_id=host_case.case_id, recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_CUSTOM, recipient_id='HOST_CASE_OWNER_LOCATION_PARENT', ) self.assertIsNone(instance.recipient) # Test with case id that doesn't exist instance = CaseTimedScheduleInstance( domain=self.domain, case_id='does-not-exist', recipient_type=CaseScheduleInstanceMixin.RECIPIENT_TYPE_CUSTOM, recipient_id='HOST_CASE_OWNER_LOCATION_PARENT', ) self.assertIsNone(instance.recipient) def test_expand_location_recipients_without_descendants(self): schedule = TimedSchedule.create_simple_daily_schedule( self.domain, TimedEvent(time=time(9, 0)), SMSContent(message={'en': 'Hello'}) ) schedule.include_descendant_locations = False schedule.save() instance = CaseTimedScheduleInstance( domain=self.domain, timed_schedule_id=schedule.schedule_id, recipient_type='Location', recipient_id=self.country_location.location_id ) self.assertEqual( list(instance.expand_recipients()), [] ) instance = CaseTimedScheduleInstance( domain=self.domain, timed_schedule_id=schedule.schedule_id, recipient_type='Location', recipient_id=self.state_location.location_id ) self.assertEqual( self.user_ids(instance.expand_recipients()), [self.mobile_user2.get_id] ) def test_expand_location_recipients_with_descendants(self): schedule = TimedSchedule.create_simple_daily_schedule( self.domain, TimedEvent(time=time(9, 0)), SMSContent(message={'en': 'Hello'}) ) schedule.include_descendant_locations = True schedule.save() instance = CaseTimedScheduleInstance( domain=self.domain, timed_schedule_id=schedule.schedule_id, recipient_type='Location', recipient_id=self.state_location.location_id ) self.assertItemsEqual( self.user_ids(instance.expand_recipients()), [self.mobile_user.get_id, self.mobile_user2.get_id] ) def test_expand_location_recipients_with_location_type_filter(self): schedule = TimedSchedule.create_simple_daily_schedule( self.domain, TimedEvent(time=time(9, 0)), SMSContent(message={'en': 'Hello'}) ) schedule.include_descendant_locations = True schedule.location_type_filter = [self.city_location.location_type_id] schedule.save() instance = CaseTimedScheduleInstance( domain=self.domain, timed_schedule_id=schedule.schedule_id, recipient_type='Location', recipient_id=self.country_location.location_id ) self.assertItemsEqual( self.user_ids(instance.expand_recipients()), [self.mobile_user.get_id] ) def test_expand_group_recipients(self): schedule = TimedSchedule.create_simple_daily_schedule( self.domain, TimedEvent(time=time(9, 0)), SMSContent(message={'en': 'Hello'}) ) instance = CaseTimedScheduleInstance( domain=self.domain, timed_schedule_id=schedule.schedule_id, recipient_type='Group', recipient_id=self.group.get_id ) self.assertEqual( self.user_ids(instance.expand_recipients()), [self.mobile_user.get_id] ) def test_mobile_worker_recipients_with_user_data_filter(self): schedule = TimedSchedule.create_simple_daily_schedule( self.domain, TimedEvent(time=time(9, 0)), SMSContent(message={'en': 'Hello'}) ) schedule.user_data_filter = {'role': ['nurse']} schedule.save() instance = CaseTimedScheduleInstance( domain=self.domain, timed_schedule_id=schedule.schedule_id, recipient_type='Group', recipient_id=self.group2.get_id ) self.assertEqual( self.user_ids(instance.expand_recipients()), [self.mobile_user4.get_id, self.mobile_user5.get_id] ) def test_web_user_recipient_with_user_data_filter(self): schedule = TimedSchedule.create_simple_daily_schedule( self.domain, TimedEvent(time=time(9, 0)), SMSContent(message={'en': 'Hello'}) ) schedule.user_data_filter = {'role': ['nurse']} schedule.save() instance = CaseTimedScheduleInstance( domain=self.domain, timed_schedule_id=schedule.schedule_id, recipient_type=ScheduleInstance.RECIPIENT_TYPE_WEB_USER, recipient_id=self.web_user.get_id, ) self.assertEqual(list(instance.expand_recipients()), []) instance = CaseTimedScheduleInstance( domain=self.domain, timed_schedule_id=schedule.schedule_id, recipient_type=ScheduleInstance.RECIPIENT_TYPE_WEB_USER, recipient_id=self.web_user2.get_id, ) recipients = list(instance.expand_recipients()) self.assertEqual(len(recipients), 1) self.assertIsInstance(recipients[0], WebUser) self.assertEqual(recipients[0].get_id, self.web_user2.get_id) @run_with_all_backends def test_case_group_recipient_with_user_data_filter(self): # The user data filter should have no effect here because all # the recipients are cases. schedule = TimedSchedule.create_simple_daily_schedule( self.domain, TimedEvent(time=time(9, 0)), SMSContent(message={'en': 'Hello'}) ) schedule.user_data_filter = {'role': ['nurse']} schedule.save() with create_case(self.domain, 'person') as case: case_group = CommCareCaseGroup(domain=self.domain, cases=[case.case_id]) case_group.save() self.addCleanup(case_group.delete) instance = CaseTimedScheduleInstance( domain=self.domain, timed_schedule_id=schedule.schedule_id, recipient_type=ScheduleInstance.RECIPIENT_TYPE_CASE_GROUP, recipient_id=case_group.get_id, ) recipients = list(instance.expand_recipients()) self.assertEqual(len(recipients), 1) self.assertEqual(recipients[0].case_id, case.case_id) def create_user_case(self, user): create_case_kwargs = { 'external_id': user.get_id, 'update': {'hq_user_id': user.get_id}, } return create_case(self.domain, 'commcare-user', **create_case_kwargs) def assertPhoneEntryCount(self, count, only_count_two_way=False): qs = PhoneNumber.objects.filter(domain=self.domain) if only_count_two_way: qs = qs.filter(is_two_way=True) self.assertEqual(qs.count(), count) def assertTwoWayEntry(self, entry, expected_phone_number): self.assertTrue(isinstance(entry, PhoneNumber)) self.assertEqual(entry.phone_number, expected_phone_number) self.assertTrue(entry.is_two_way) @run_with_all_backends def test_one_way_numbers(self): user1 = CommCareUser.create(self.domain, uuid.uuid4().hex, 'abc', None, None) user2 = CommCareUser.create(self.domain, uuid.uuid4().hex, 'abc', None, None) user3 = CommCareUser.create(self.domain, uuid.uuid4().hex, 'abc', None, None) self.addCleanup(user1.delete) self.addCleanup(user2.delete) self.addCleanup(user3.delete) self.assertIsNone(user1.memoized_usercase) self.assertIsNone(Content.get_two_way_entry_or_phone_number(user1)) with self.create_user_case(user2) as case: self.assertIsNotNone(user2.memoized_usercase) self.assertIsNone(Content.get_two_way_entry_or_phone_number(user2)) self.assertIsNone(Content.get_two_way_entry_or_phone_number(case)) with self.create_user_case(user3) as case: # If the user has no number, the user case's number is used update_case(self.domain, case.case_id, case_properties={'contact_phone_number': '12345678'}) case = CaseAccessors(self.domain).get_case(case.case_id) self.assertPhoneEntryCount(1) self.assertPhoneEntryCount(0, only_count_two_way=True) self.assertIsNotNone(user3.memoized_usercase) self.assertEqual(Content.get_two_way_entry_or_phone_number(user3), '12345678') # If the user has a number, it is used before the user case's number user3.add_phone_number('87654321') user3.save() self.assertPhoneEntryCount(2) self.assertPhoneEntryCount(0, only_count_two_way=True) self.assertEqual(Content.get_two_way_entry_or_phone_number(user3), '87654321') # Referencing the case directly uses the case's phone number self.assertEqual(Content.get_two_way_entry_or_phone_number(case), '12345678') @run_with_all_backends def test_ignoring_entries(self): with create_case(self.domain, 'person') as case: update_case(self.domain, case.case_id, case_properties={'contact_phone_number': '12345', 'contact_phone_number_is_verified': '1'}) self.assertPhoneEntryCount(1) self.assertPhoneEntryCount(1, only_count_two_way=True) with patch('corehq.apps.sms.tasks.use_phone_entries') as patch1, \ patch('corehq.messaging.tasks.use_phone_entries') as patch2, \ patch('corehq.messaging.scheduling.models.abstract.use_phone_entries') as patch3: patch1.return_value = patch2.return_value = patch3.return_value = False update_case(self.domain, case.case_id, case_properties={'contact_phone_number': '23456'}) case = CaseAccessors(self.domain).get_case(case.case_id) self.assertPhoneEntryCount(1) self.assertPhoneEntryCount(1, only_count_two_way=True) self.assertTwoWayEntry(PhoneNumber.objects.get(owner_id=case.case_id), '12345') self.assertEqual(Content.get_two_way_entry_or_phone_number(case), '23456') def _test_two_way_numbers(self, change_context_manager): user1 = CommCareUser.create(self.domain, uuid.uuid4().hex, 'abc', None, None) user2 = CommCareUser.create(self.domain, uuid.uuid4().hex, 'abc', None, None) user3 = CommCareUser.create(self.domain, uuid.uuid4().hex, 'abc', None, None) self.addCleanup(user1.delete) self.addCleanup(user2.delete) self.addCleanup(user3.delete) self.assertIsNone(user1.memoized_usercase) self.assertIsNone(Content.get_two_way_entry_or_phone_number(user1)) with change_context_manager: with self.create_user_case(user2) as case: self.assertIsNotNone(user2.memoized_usercase) self.assertIsNone(Content.get_two_way_entry_or_phone_number(user2)) self.assertIsNone(Content.get_two_way_entry_or_phone_number(case)) with self.create_user_case(user3) as case: # If the user has no number, the user case's number is used with change_context_manager: update_case(self.domain, case.case_id, case_properties={'contact_phone_number': '12345678', 'contact_phone_number_is_verified': '1'}) case = CaseAccessors(self.domain).get_case(case.case_id) self.assertPhoneEntryCount(1) self.assertPhoneEntryCount(1, only_count_two_way=True) self.assertIsNotNone(user3.memoized_usercase) self.assertTwoWayEntry(Content.get_two_way_entry_or_phone_number(user3), '12345678') # If the user has a number, it is used before the user case's number user3.add_phone_number('87654321') user3.save() PhoneNumber.objects.get(phone_number='87654321').set_two_way() self.assertPhoneEntryCount(2) self.assertPhoneEntryCount(2, only_count_two_way=True) self.assertTwoWayEntry(Content.get_two_way_entry_or_phone_number(user3), '87654321') # Referencing the case directly uses the case's phone number self.assertTwoWayEntry(Content.get_two_way_entry_or_phone_number(case), '12345678') @run_with_all_backends def test_two_way_numbers_with_signal_task(self): nullcontext = contextlib.suppress() self._test_two_way_numbers(nullcontext) @run_with_all_backends @patch('corehq.messaging.signals.sync_case_for_messaging') def test_two_way_numbers_with_pillow(self, _): self._test_two_way_numbers(self.process_pillow_changes) @run_with_all_backends def test_not_using_phone_entries(self): with patch('corehq.apps.sms.tasks.use_phone_entries') as patch1, \ patch('corehq.messaging.tasks.use_phone_entries') as patch2, \ patch('corehq.messaging.scheduling.models.abstract.use_phone_entries') as patch3: patch1.return_value = patch2.return_value = patch3.return_value = False user1 = CommCareUser.create(self.domain, uuid.uuid4().hex, 'abc', None, None) user2 = CommCareUser.create(self.domain, uuid.uuid4().hex, 'abc', None, None) user3 = CommCareUser.create(self.domain, uuid.uuid4().hex, 'abc', None, None) self.addCleanup(user1.delete) self.addCleanup(user2.delete) self.addCleanup(user3.delete) self.assertIsNone(user1.memoized_usercase) self.assertIsNone(Content.get_two_way_entry_or_phone_number(user1)) with self.create_user_case(user2) as case: self.assertIsNotNone(user2.memoized_usercase) self.assertIsNone(Content.get_two_way_entry_or_phone_number(user2)) self.assertIsNone(Content.get_two_way_entry_or_phone_number(case)) with self.create_user_case(user3) as case: # If the user has no number, the user case's number is used update_case(self.domain, case.case_id, case_properties={'contact_phone_number': '12345678'}) case = CaseAccessors(self.domain).get_case(case.case_id) self.assertPhoneEntryCount(0) self.assertIsNotNone(user3.memoized_usercase) self.assertEqual(Content.get_two_way_entry_or_phone_number(user3), '12345678') # If the user has a number, it is used before the user case's number user3.add_phone_number('87654321') user3.save() self.assertPhoneEntryCount(0) self.assertEqual(Content.get_two_way_entry_or_phone_number(user3), '87654321') # Referencing the case directly uses the case's phone number self.assertEqual(Content.get_two_way_entry_or_phone_number(case), '12345678') @run_with_all_backends def test_phone_number_preference(self): user = CommCareUser.create(self.domain, uuid.uuid4().hex, 'abc', None, None) self.addCleanup(user.delete) user.add_phone_number('12345') user.add_phone_number('23456') user.add_phone_number('34567') user.save() self.assertPhoneEntryCount(3) self.assertPhoneEntryCount(0, only_count_two_way=True) self.assertEqual(Content.get_two_way_entry_or_phone_number(user), '12345') PhoneNumber.objects.get(phone_number='23456').set_two_way() self.assertPhoneEntryCount(3) self.assertPhoneEntryCount(1, only_count_two_way=True) self.assertTwoWayEntry(Content.get_two_way_entry_or_phone_number(user), '23456')

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6

139b1bd1b5a940f5f6e6bcaddef075cd41fa2dc7

25

py

Python

gym_doom/wrappers/__init__.py

MarvineGothic/gym_doom

5cda5bbb52c0e82e9fd2ed355d2c7e84c767603b

[ "MIT" ]

1

2019-12-21T11:03:02.000Z

gym_doom/wrappers/__init__.py

MarvineGothic/gym_doom

5cda5bbb52c0e82e9fd2ed355d2c7e84c767603b

[ "MIT" ]

null

gym_doom/wrappers/__init__.py

MarvineGothic/gym_doom

5cda5bbb52c0e82e9fd2ed355d2c7e84c767603b

[ "MIT" ]

null

from .doom_wrap import *

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6

13a8db0fd9f664cae00bbb29a6d8040270563808

109

py

Python

dgp_graph/__init__.py

Aaanonymousss/G4P

223392545b59cd3bb30bc9fb8f401ac98bf7fcfd

[ "MIT" ]

21

2020-10-14T12:12:25.000Z

2022-01-25T08:42:57.000Z

dgp_graph/__init__.py

naiqili/DGPG-journal

2770ce58185091afff5eca8e295086b42f4d874e

[ "MIT" ]

2

2021-01-14T19:10:31.000Z

2021-02-17T14:29:16.000Z

dgp_graph/__init__.py

naiqili/DGPG-journal

2770ce58185091afff5eca8e295086b42f4d874e

[ "MIT" ]

4

2020-11-11T08:36:25.000Z

2021-01-07T05:04:02.000Z

from .impl_parallel import * # impl_parallel is optimized with tensor computation, tasks can run in parallel.

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13db4e854fc78b730e75a7ecec0956c3ced9ebd3

14,064

py

Python

Problem/SUKP.py

m-arnao-molina/SCA-QL-SARSA

65f859fce96bb8c11509238c2f7a5d8dd2ad042a

[ "MIT" ]

null

Problem/SUKP.py

m-arnao-molina/SCA-QL-SARSA

65f859fce96bb8c11509238c2f7a5d8dd2ad042a

[ "MIT" ]

null

Problem/SUKP.py

m-arnao-molina/SCA-QL-SARSA

65f859fce96bb8c11509238c2f7a5d8dd2ad042a

[ "MIT" ]

null

import numpy as np import random from Discretization import DiscretizationScheme as DS #action : esquema de discretizacion DS def SUKP(poblacion,matrixBin,solutionsRanking,ds,repairType,numItem, numElement, knapsackSize, relationMatrix, weight, profit): #Binarización de 2 pasos ds = ds.split(",") ds = DS.DiscretizationScheme(poblacion,matrixBin,solutionsRanking,ds[0],ds[1]) matrixBin = ds.binariza() #Evaluamos restricción, sila función evaluar_restriccion_SUKP devuelve un 1 es factible, si devuelve un 0 no es factible y hay que reparar EvaluarReparacion, PesosDeItems = evaluar_restriccion_SUKP(matrixBin,relationMatrix,weight,knapsackSize,numItem) #Reparamos si corresponde numReparacionesVector = [] for i in range(len(EvaluarReparacion)): if EvaluarReparacion[i] == 0: if repairType == 1: #Reparación "Simple" con un orden según peso de los items vectorSinReparar = matrixBin[i] matrixBin[i] = reparar1(matrixBin[i], knapsackSize, relationMatrix, weight, profit,PesosDeItems) #*** Ver que más necesita la función para reparar vectorReparada = matrixBin[i] numReparacionesVector.append(np.sum(vectorReparada - vectorSinReparar)) if repairType == 2: #Reparación según ponderación p_i/R_i del paper (https://sci-hub.se/https://doi.org/10.1016/j.future.2017.05.044) vectorSinReparar = matrixBin[i] matrixBin[i] = reparar2(matrixBin[i], knapsackSize, relationMatrix, weight, profit,PesosDeItems,numItem) #*** Ver que más necesita la función para reparar vectorReparada = matrixBin[i] numReparacionesVector.append(np.sum(vectorReparada - vectorSinReparar)) if repairType == 3: #Reparación según ponderación p_i/R_i del paper (https://sci-hub.se/https://doi.org/10.1016/j.future.2017.05.044) vectorSinReparar = matrixBin[i] matrixBin[i] = reparar3(matrixBin[i], knapsackSize, relationMatrix, weight, profit,PesosDeItems,numItem) #*** Ver que más necesita la función para reparar vectorReparada = matrixBin[i] numReparacionesVector.append(np.sum(vectorReparada - vectorSinReparar)) if repairType == 4: #Reparación según ponderación p_i/R_i del paper (https://sci-hub.se/https://doi.org/10.1016/j.future.2017.05.044) vectorSinReparar = matrixBin[i] matrixBin[i] = reparar3(matrixBin[i], knapsackSize, relationMatrix, weight, profit,PesosDeItems,numItem) #*** Ver que más necesita la función para reparar vectorReparada = matrixBin[i] numReparacionesVector.append(np.sum(vectorReparada - vectorSinReparar)) numReparaciones = np.sum(numReparacionesVector) #Calculamos Fitness # print(f'matrixBin: {matrixBin}') # print(f'matrixBin.sum: {np.sum(matrixBin)}') fitness = np.sum(np.multiply(matrixBin,profit),axis =1) solutionsRanking = (-fitness).argsort() # rankings de los mejores fitness return matrixBin,fitness,solutionsRanking,numReparaciones def evaluar_restriccion_SUKP(matrixBin,relationMatrix,weight,knapsackSize,numItem): PesosDeMatrizRelacion = np.multiply(relationMatrix,weight) PesosDeItems = np.sum(PesosDeMatrizRelacion,axis=1) PesosParaEvaluarFactibilidad = np.sum(np.multiply(matrixBin,PesosDeItems),axis=1) EvaluarReparacion = np.where(PesosParaEvaluarFactibilidad <= knapsackSize, 1, 0) return EvaluarReparacion, PesosDeItems def reparar1(vectorBin, knapsackSize, relationMatrix, weight, profit,PesosDeItems): #Reparación "Simple" con un orden según peso de los items indicadorReparacion = np.divide(profit,PesosDeItems) #Nos entregará un vector de indicadores de la reción profit/weight, en donde el menor valor corresponde a los items menos importantes RankIndicadorReparacion= (-indicadorReparacion).argsort() for i in range(len(RankIndicadorReparacion)): if np.sum(np.multiply(vectorBin,PesosDeItems)) > knapsackSize: vectorBin[RankIndicadorReparacion[i]] = 0 else: break return vectorBin def reparar2(vectorBin, knapsackSize, relationMatrix, weight, profit,PesosDeItems,numItem): #Reparación según ponderación p_i/R_i del paper (https://sci-hub.se/https://doi.org/10.1016/j.future.2017.05.044) frecuenciasDeElementos = np.divide(np.sum(relationMatrix, axis=0),numItem) PesosDeMatrizRelacion = np.multiply(relationMatrix,weight) R = np.sum(np.divide(PesosDeMatrizRelacion,frecuenciasDeElementos), axis=1) #Vector de tamaño items indicadorReparacion = np.divide(profit,R) #Vector tamaño items indicadorReparacion = np.multiply(indicadorReparacion,vectorBin) maxindicador = np.sum(indicadorReparacion) indicadorReparacion = np.where(indicadorReparacion == 0, indicadorReparacion-maxindicador, indicadorReparacion) # print(f'indicadorReparacion: {indicadorReparacion}') RankIndicadorReparacion= (-indicadorReparacion).argsort() cant = np.sum(np.where(indicadorReparacion == -maxindicador, 1, 0)) #Cantidad de "0" en nuestro indicador, es decir items no elegidos en nuestro vector solución evaluado RankIndicadorReparacion = RankIndicadorReparacion[:-cant] # print(f'RankIndicadorReparacion.shape: {RankIndicadorReparacion.shape}') vectorBinZ = np.zeros(vectorBin.shape) #Linea 4 del algoritmo 2 del paper (https://sci-hub.se/https://doi.org/10.1016/j.future.2017.05.044) for i in range(len(RankIndicadorReparacion)): if PesosDeItems[RankIndicadorReparacion[i]] <= (knapsackSize - np.sum(np.multiply(vectorBinZ,PesosDeItems))): #Comprobamos si el items entra en el espacio disponible en la mochila vectorBinZ[RankIndicadorReparacion[i]] = 1 else: continue #Linea 8 del algoritmo 2 del paper (https://sci-hub.se/https://doi.org/10.1016/j.future.2017.05.044) vectorBinZInvertida = np.where(vectorBinZ == 1, 0, 1) #Es decir que los 1 serán 0 y los 0 serán 1. indicadorReparacion = np.multiply(indicadorReparacion,vectorBinZInvertida) maxindicador = np.sum(indicadorReparacion) indicadorReparacion = np.where(indicadorReparacion == 0, indicadorReparacion-maxindicador, indicadorReparacion) RankIndicadorReparacion= (-indicadorReparacion).argsort() cant = np.sum(np.where(RankIndicadorReparacion == -maxindicador, 1, 0)) #Cantidad de "0" en nuestro indicador, es decir items no elegidos en nuestro vector solución evaluado RankIndicadorReparacion = RankIndicadorReparacion[:-cant] for i in range(len(RankIndicadorReparacion)): if PesosDeItems[RankIndicadorReparacion[i]] <= (knapsackSize - np.sum(np.multiply(vectorBinZ,PesosDeItems))): #Comprobamos si el items entra en el espacio disponible en la mochila vectorBinZ[RankIndicadorReparacion[i]] = 1 else: continue vectorBin = vectorBinZ # print(f'Peso de la mochila: {np.sum(np.multiply(vectorBin,PesosDeItems))}') return vectorBin def reparar3(vectorBin, knapsackSize, relationMatrix, weight, profit,PesosDeItems,numItem): #Reparación según ponderación p_i/R_i del paper (https://sci-hub.se/https://doi.org/10.1016/j.future.2017.05.044) frecuenciasDeElementos = np.divide(np.sum(relationMatrix, axis=0),numItem) PesosDeMatrizRelacion = np.multiply(relationMatrix,weight) R = np.sum(np.divide(PesosDeMatrizRelacion,frecuenciasDeElementos), axis=1) #Vector de tamaño items indicadorReparacion = np.divide(profit,R) #Vector tamaño items # indicadorReparacion = np.multiply(indicadorReparacion,vectorBin) # maxindicador = np.sum(indicadorReparacion) # indicadorReparacion = np.where(indicadorReparacion == 0, indicadorReparacion-maxindicador, indicadorReparacion) # print(f'indicadorReparacion: {indicadorReparacion}') RankIndicadorReparacion= (indicadorReparacion).argsort() # cant = np.sum(np.where(indicadorReparacion == -maxindicador, 1, 0)) #Cantidad de "0" en nuestro indicador, es decir items no elegidos en nuestro vector solución evaluado # RankIndicadorReparacion = RankIndicadorReparacion[:-cant] # print(f'RankIndicadorReparacion.shape: {RankIndicadorReparacion.shape}') #vectorBinZ = np.zeros(vectorBin.shape) vectorBinZ = vectorBin #Linea 4 del algoritmo 2 del paper (https://sci-hub.se/https://doi.org/10.1016/j.future.2017.05.044) for i in range(len(RankIndicadorReparacion)): # print(f'np.sum(np.multiply(vectorBinZ,PesosDeItems)): {np.sum(np.multiply(vectorBinZ,PesosDeItems))}') # print(f'knapsackSize: {knapsackSize}') if np.sum(np.multiply(vectorBinZ,PesosDeItems)) >= knapsackSize: #Comprobamos si el items entra en el espacio disponible en la mochila vectorBinZ[RankIndicadorReparacion[i]] = 0 else: continue #Linea 8 del algoritmo 2 del paper (https://sci-hub.se/https://doi.org/10.1016/j.future.2017.05.044) vectorBinZInvertida = np.where(vectorBinZ == 1, 0, 1) #Es decir que los 1 serán 0 y los 0 serán 1. # indicadorReparacion = np.multiply(indicadorReparacion,vectorBinZInvertida) # maxindicador = np.sum(indicadorReparacion) # indicadorReparacion = np.where(indicadorReparacion == 0, indicadorReparacion-maxindicador, indicadorReparacion) RankIndicadorReparacion= (-indicadorReparacion).argsort() # cant = np.sum(np.where(RankIndicadorReparacion == -maxindicador, 1, 0)) #Cantidad de "0" en nuestro indicador, es decir items no elegidos en nuestro vector solución evaluado # RankIndicadorReparacion = RankIndicadorReparacion[:-cant] for i in range(len(RankIndicadorReparacion)): # print("*************************************************") # print(f'np.sum(np.multiply(vectorBinZ,PesosDeItems)): {np.sum(np.multiply(vectorBinZ,PesosDeItems))}') # print(f'knapsackSize - np.sum(np.multiply(vectorBinZ,PesosDeItems)): {knapsackSize - np.sum(np.multiply(vectorBinZ,PesosDeItems))}') if PesosDeItems[RankIndicadorReparacion[i]] <= (knapsackSize - np.sum(np.multiply(vectorBinZ,PesosDeItems))): #Comprobamos si el items entra en el espacio disponible en la mochila vectorBinZ[RankIndicadorReparacion[i]] = 1 else: continue vectorBin = vectorBinZ # print(f'Peso de la mochila: {np.sum(np.multiply(vectorBin,PesosDeItems))}') return vectorBin def reparar4(vectorBin, knapsackSize, relationMatrix, weight, profit,PesosDeItems,numItem): #Reparación según ponderación p_i/R_i del paper (https://sci-hub.se/https://doi.org/10.1016/j.future.2017.05.044) frecuenciasDeElementos = np.divide(np.sum(relationMatrix, axis=0),numItem) PesosDeMatrizRelacion = np.multiply(relationMatrix,weight) R = np.sum(np.divide(PesosDeMatrizRelacion,frecuenciasDeElementos), axis=1) #Vector de tamaño items indicadorReparacion = np.divide(profit,R) #Vector tamaño items RankIndicadorReparacion= (-indicadorReparacion).argsort() # vectorBinZ = vectorBin vectorBinZ = np.zeros(numItem) #Linea 4 del algoritmo 2 del paper (https://sci-hub.se/https://doi.org/10.1016/j.future.2017.05.044) for i in range(len(RankIndicadorReparacion)): # if np.sum(np.multiply(vectorBinZ,PesosDeItems)) >= knapsackSize: #Comprobamos si el items entra en el espacio disponible en la mochila if PesosDeItems[RankIndicadorReparacion[i]] <= (knapsackSize - np.sum(np.multiply(vectorBinZ,PesosDeItems))) and vectorBin[RankIndicadorReparacion[i]] == 1: #Comprobamos si el items entra en el espacio disponible en la mochila rand = np.random.rand() if rand <= 1: vectorBinZ[RankIndicadorReparacion[i]] = 1 else: continue #Linea 8 del algoritmo 2 del paper (https://sci-hub.se/https://doi.org/10.1016/j.future.2017.05.044) RankIndicadorReparacion= (-indicadorReparacion).argsort() for i in range(len(RankIndicadorReparacion)): if PesosDeItems[RankIndicadorReparacion[i]] <= (knapsackSize - np.sum(np.multiply(vectorBinZ,PesosDeItems))) and vectorBinZ[RankIndicadorReparacion[i]] == 0: #Comprobamos si el items entra en el espacio disponible en la mochila rand = np.random.rand() if rand <= 1: vectorBinZ[RankIndicadorReparacion[i]] = 1 else: continue vectorBin = vectorBinZ # print(f'Peso de la mochila: {np.sum(np.multiply(vectorBin,PesosDeItems))}') return vectorBin def read_instance_SUKP(file,instance_dir,workdirInstance): # print(f'file: {file}') path = workdirInstance + instance_dir numItem = 0 # i, el numero de itemes. numElement = 0 # j, el numero de elemento. knapsackSize = 0 # Esta es la restriccion. profit = np.zeros(numItem) # m weight = np.zeros(numElement) # n fo = open(path + file , 'r') fo, line = read_line(3,fo) posicion = line.find('=') numItem = int(line[posicion+1:posicion+5]) posicion = line.find('=',posicion+1) numElement = int(line[posicion+1:posicion+5]) relationMatrix = np.zeros((numItem, numElement)) posicion = line.find('=',posicion+1) knapsackSize = int(line[posicion+1:posicion+7]) fo, line = read_line(3,fo) line = line.replace(' \n','').split(' ') line = [int(i) for i in line] profit = np.asarray(line) fo, line = read_line(3,fo) line = line.replace(' \n','').split(' ') line = [int(i) for i in line] weight = np.asarray(line) fo, line = read_line(2,fo) for i in range(0,numItem): relation = fo.readline().replace(' \n','').split(' ') for j in range(0,numElement): relationMatrix[i,j] = int(relation[j]) print(relationMatrix.shape) fo.close() return numItem, numElement, knapsackSize, relationMatrix, weight, profit def read_line(n,fo): for i in range(0,n): line = fo.readline() return fo, line

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6

b93833bfece1d1199e7f096e04b09791cfb9cab3

152

py

Python

minigames/games/skribbl.py

iamDyeus/KnickAI

c17d808c949cb3467031498e7252bd2095c04699

[ "MIT" ]

31

2021-11-08T18:42:17.000Z

2022-03-25T07:45:46.000Z

minigames/games/skribbl.py

iamDyeus/KnickAI

c17d808c949cb3467031498e7252bd2095c04699

[ "MIT" ]

6

2021-12-20T14:15:44.000Z

2022-03-28T16:19:12.000Z

minigames/games/skribbl.py

iamDyeus/KnickAI

c17d808c949cb3467031498e7252bd2095c04699

[ "MIT" ]

3

2021-11-13T09:38:12.000Z

2022-03-25T07:44:17.000Z

#https://skribbl.io/ import webbrowser print("\nopening skribbl.io in your browser...") webbrowser.open("https://skribbl.io/") print("\n")

15.2

49

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0.151316

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0.25

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1

0

1

0

null

0

1

0

1

0

6

b95d32fbb0adb9fa05061955155150c49c2c68bf

197

py

Python

pythran/tests/user_defined_import/mix_builtin.py

davidbrochart/pythran

24b6c8650fe99791a4091cbdc2c24686e86aa67c

[ "BSD-3-Clause" ]

1,647

2015-01-13T01:45:38.000Z

2022-03-28T01:23:41.000Z

pythran/tests/user_defined_import/mix_builtin.py

davidbrochart/pythran

24b6c8650fe99791a4091cbdc2c24686e86aa67c

[ "BSD-3-Clause" ]

1,116

2015-01-01T09:52:05.000Z

2022-03-18T21:06:40.000Z

pythran/tests/user_defined_import/mix_builtin.py

davidbrochart/pythran

24b6c8650fe99791a4091cbdc2c24686e86aa67c

[ "BSD-3-Clause" ]

180

2015-02-12T02:47:28.000Z

2022-03-14T10:28:18.000Z

from mix_builtin_main import bar import mix_builtin_main, numpy, math as m from numpy import sin def foo(a): return float(bar(a+42) + mix_builtin_main.foo(a) + m.floor(numpy.cos(a) + sin(a)))

28.142857

86

0.730964

38

197

3.631579

0.5

0.217391

0.304348

0

0.011905

0.147208

197

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0.809524

0

1

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0

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0.2

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null

1

0

1

0

null

0

1

0

6

b95ef7e6c3c887133769e597ee5156f8de7d96dc

5,196

py

Python

cdci_osa_plugin/osa_catalog.py

andreatramacere/cdci_osa_plugin

3f19e15982bb88748859a8879adce2d7cedcd735

[ "MIT" ]

null

cdci_osa_plugin/osa_catalog.py

andreatramacere/cdci_osa_plugin

3f19e15982bb88748859a8879adce2d7cedcd735

[ "MIT" ]

null

cdci_osa_plugin/osa_catalog.py

andreatramacere/cdci_osa_plugin

3f19e15982bb88748859a8879adce2d7cedcd735

[ "MIT" ]

null

""" Overview -------- general info about this module Classes and Inheritance Structure ---------------------------------------------- .. inheritance-diagram:: Summary --------- .. autosummary:: list of the module you want Module API ---------- """ from __future__ import absolute_import, division, print_function from builtins import (bytes, str, open, super, range, zip, round, input, int, pow, object, map, zip) __author__ = "Andrea Tramacere" # Standard library # eg copy # absolute import rg:from copy import deepcopy # Dependencies # eg numpy # absolute import eg: import numpy as np # Project # relative import eg: from .mod import f import numpy as np from astropy.io import fits as pf from cdci_data_analysis.analysis.io_helper import FitsFile from cdci_data_analysis.analysis.catalog import BasicCatalog class OsaIsgriCatalog(BasicCatalog): def __init__(self, src_names, lon, lat, significance, unit='deg', frame='FK5', NEW_SOURCE=None, ISGRI_FLAG=None, FLAG=None, ERR_RAD=None): super(OsaIsgriCatalog, self).__init__(src_names, lon, lat, significance, unit=unit, frame=frame,) self.add_column(data=NEW_SOURCE, name='NEW_SOURCE') self.add_column(data=ISGRI_FLAG, name='ISGRI_FLAG', dtype=np.int) self.add_column(data=FLAG, name='FLAG', dtype=np.int) self.add_column(data=ERR_RAD, name='ERR_RAD', dtype=np.float) @classmethod def build_from_dict_list(cls, distlist): frame = "FK5" get_key_column = lambda key, default=None: [de.get(key, default) for de in distlist] print(get_key_column('name'), cls) return cls(get_key_column('name'), get_key_column('ra'), get_key_column('dec'), significance=get_key_column('DETSIG', 0), frame="fk5", ISGRI_FLAG=get_key_column("ISGRI_FLAG", 1), NEW_SOURCE=get_key_column("NEW_SOURCE", 0), FLAG=get_key_column("FLAG", 1), ERR_RAD=get_key_column('err_rad', 0.01)) @classmethod def build_from_ddosa_srclres(cls, srclres,prod_prefix=None): #catalog = pf.open(srclres)[1] catalog=FitsFile(srclres).open()[1] print ('cat file',srclres) frame = catalog.header['RADECSYS'].lower() catalog=catalog.data return cls( [n.strip() for n in catalog['NAME']], catalog['RA_FIN'], catalog['DEC_FIN'], significance=catalog['DETSIG'], frame=frame, NEW_SOURCE=catalog['NEW_SOURCE'], ISGRI_FLAG=catalog['ISGRI_FLAG'], FLAG=catalog['FLAG'], ERR_RAD=catalog['ERR_RAD'] ) class OsaJemxCatalog(BasicCatalog): def __init__(self, src_names, lon, lat, significance, unit='deg', frame='FK5', FLAG=None, ERR_RAD=None): super(OsaJemxCatalog, self).__init__(src_names, lon, lat, significance, unit=unit, frame=frame,) #self.add_column(data=NEW_SOURCE, name='NEW_SOURCE') #self.add_column(data=ISGRI_FLAG, name='ISGRI_FLAG', dtype=np.int) self.add_column(data=FLAG, name='FLAG', dtype=np.int) self.add_column(data=ERR_RAD, name='ERR_RAD', dtype=np.float) @classmethod def build_from_dict_list(cls, distlist): frame = "FK5" get_key_column = lambda key, default=None: [de.get(key, default) for de in distlist] print(get_key_column('name'), cls) return cls(get_key_column('name'), get_key_column('ra'), get_key_column('dec'), significance=get_key_column('DETSIG', 0), frame="fk5", #ISGRI_FLAG=get_key_column("ISGRI_FLAG", 1), #NEW_SOURCE=get_key_column("NEW_SOURCE", 0), FLAG=get_key_column("FLAG", 1), ERR_RAD=get_key_column('err_rad', 0.01)) @classmethod def build_from_ddosa_srclres(cls, srclres,prod_prefix=None): #catalog = pf.open(srclres)[1] catalog = FitsFile(srclres).open()[1] print ('cat file',srclres) frame = catalog.header['RADECSYS'].lower() catalog=catalog.data return cls( [n.strip() for n in catalog['NAME']], catalog['RA_OBJ'], catalog['DEC_OBJ'], significance=catalog['DETSIG'], frame=frame, #NEW_SOURCE=catalog['NEW_SOURCE'], #ISGRI_FLAG=catalog['ISGRI_FLAG'], FLAG=catalog['FLAG'], ERR_RAD=catalog['ERR_RAD'] )

29.862069

92

0.539261

574

5,196

4.635889

0.219512

0.049605

0.090192

0.051109

0.761368

0.740323

0.723036

0

0.006989

0.339107

5,196

173

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30.034682

0.767909

0.146459

0

0.764706

0

0.06396

0

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0.058824

false

0

0.058824

0

0.176471

0.04902

0

null

0

1

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1

0

null

0

6

b98f09a091b263d905c4353d38f08d46f2154712

91

py

Python

vnpy/app/portfolio_strategy/__init__.py

jubal/vnpy

f50f2535ed39dd33272e0985ed40c7078e4c19f6

[ "MIT" ]

5

2020-05-19T07:32:39.000Z

2022-03-14T09:09:48.000Z

vnpy/app/portfolio_strategy/__init__.py

jubal/vnpy

f50f2535ed39dd33272e0985ed40c7078e4c19f6

[ "MIT" ]

null

vnpy/app/portfolio_strategy/__init__.py

jubal/vnpy

f50f2535ed39dd33272e0985ed40c7078e4c19f6

[ "MIT" ]

3

2020-04-02T08:30:17.000Z

2020-05-03T12:12:05.000Z

import sys import vnpy_portfoliostrategy sys.modules[__name__] = vnpy_portfoliostrategy

13

46

0.846154

10

91

7.1

0.6

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0

0.10989

91

6

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15.166667

0.876543

0

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true

0

0.666667

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null

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1

0

null

0

1

0

1

0

1

0

6

b9d16d6479278b2f5af5bf1c9d44a8f506fd4683

20,381

py

Python

self_supervised_3d_tasks/data_util/brats_dataset_utils.py

ramchandracheke/self-supervised-3d-tasks

dc184d5d29012fafb887402c5bc2ce74e4b0acdf

[ "Apache-2.0" ]

134

2020-06-09T06:24:34.000Z

2022-03-29T16:04:28.000Z

self_supervised_3d_tasks/data_util/brats_dataset_utils.py

ramchandracheke/self-supervised-3d-tasks

dc184d5d29012fafb887402c5bc2ce74e4b0acdf

[ "Apache-2.0" ]

24

2020-07-15T15:58:29.000Z

2022-03-11T07:12:34.000Z

self_supervised_3d_tasks/data_util/brats_dataset_utils.py

ramchandracheke/self-supervised-3d-tasks

dc184d5d29012fafb887402c5bc2ce74e4b0acdf

[ "Apache-2.0" ]

29

2020-06-09T10:02:39.000Z

2022-03-31T18:16:23.000Z

import glob import multiprocessing import nibabel as nib import numpy as np import skimage.transform as skTrans import tensorflow as tf from joblib import Parallel, delayed SHARD_SIZE = 1024 def parallel_load_brats_no_labels(path, multimodal=True): """ loader function for self-supervision tasks :param path: :return: """ t1ce_files = sorted(glob.glob(path + "*_t1ce.nii.gz", recursive=True)) flair_files = sorted(glob.glob(path + "*_flair.nii.gz", recursive=True)) print("loading " + str(len(flair_files)) + " mri scans.") num_cores = multiprocessing.cpu_count() all_slices = list() if multimodal: t1_files = sorted(glob.glob(path + "*_t1.nii.gz", recursive=True)) t2_files = sorted(glob.glob(path + "*_t2.nii.gz", recursive=True)) results = Parallel(n_jobs=num_cores)( delayed(read_brats_scan_multimodal)(flair_files, i, t1_files, t1ce_files, t2_files) for i in range(len(t2_files))) for mm_scan in results: if mm_scan[0].shape[2] == mm_scan[1].shape[2] == mm_scan[2].shape[2] == mm_scan[3].shape[2]: for z in range(mm_scan[0].shape[2]): t1ce_image = mm_scan[0][:, :, z] flair_image = mm_scan[1][:, :, z] t1_image = mm_scan[2][:, :, z] t2_image = mm_scan[3][:, :, z] stacked_array = np.stack([t1ce_image, flair_image, t1_image, t2_image], axis=-1) all_slices.append(stacked_array) else: results = Parallel(n_jobs=num_cores)( delayed(read_brats_scan_two_modal)(flair_files, i, t1ce_files) for i in range(len(flair_files))) for mm_scan in results: if mm_scan[0].shape[2] == mm_scan[1].shape[2]: for z in range(mm_scan[0].shape[2]): t1ce_image = mm_scan[0][:, :, z] flair_image = mm_scan[1][:, :, z] stacked_array = np.stack([t1ce_image, flair_image], axis=-1) all_slices.append(stacked_array) return np.array(all_slices) def parallel_load_brats_3D_no_labels(path, multimodal=True): """ loader function for self-supervision tasks :param path: :return: """ t1ce_files = sorted(glob.glob(path + "*_t1ce.nii.gz", recursive=True)) flair_files = sorted(glob.glob(path + "*_flair.nii.gz", recursive=True)) print("loading " + str(len(flair_files)) + " mri scans.") num_cores = multiprocessing.cpu_count() all_scans = list() if multimodal: t1_files = sorted(glob.glob(path + "*_t1.nii.gz", recursive=True)) t2_files = sorted(glob.glob(path + "*_t2.nii.gz", recursive=True)) results = Parallel(n_jobs=num_cores)( delayed(read_brats_scan_multimodal)(flair_files, i, t1_files, t1ce_files, t2_files) for i in range(len(t2_files))) for mm_scan in results: t1ce_image = mm_scan[0] flair_image = mm_scan[1] t1_image = mm_scan[2] t2_image = mm_scan[3] stacked_array = np.stack([t1ce_image, flair_image, t1_image, t2_image], axis=-1) all_scans.append(stacked_array) else: results = Parallel(n_jobs=num_cores)( delayed(read_brats_scan_two_modal)(flair_files, i, t1ce_files) for i in range(len(flair_files))) for mm_scan in results: t1ce_image = mm_scan[0] flair_image = mm_scan[1] stacked_array = np.stack([t1ce_image, flair_image], axis=-1) all_scans.append(stacked_array) return np.array(all_scans) def parallel_load_brats_with_labels(path, multimodal=False): """ loader function for segmentation tasks :param path: :param multimodal: :return: """ t1ce_files = sorted(glob.glob(path + "*_t1ce.nii.gz", recursive=True)) flair_files = sorted(glob.glob(path + "*_flair.nii.gz", recursive=True)) seg_files = sorted(glob.glob(path + "*_seg.nii.gz", recursive=True)) print("loading " + str(len(seg_files)) + " mri scans.") num_cores = multiprocessing.cpu_count() all_slices = list() all_masks = list() if multimodal: t1_files = sorted(glob.glob(path + "*_t1.nii.gz", recursive=True)) t2_files = sorted(glob.glob(path + "*_t2.nii.gz", recursive=True)) results = Parallel(n_jobs=num_cores)( delayed(read_brats_scan_multimodal_with_mask)(flair_files, i, t1_files, t1ce_files, t2_files, seg_files) for i in range(len(flair_files))) for mm_scan in results: if mm_scan[0].shape[2] == mm_scan[1].shape[2] == mm_scan[2].shape[2] == mm_scan[3].shape[2] == \ mm_scan[4].shape[2]: for z in range(mm_scan[0].shape[2]): t1ce_image = mm_scan[0][:, :, z] flair_image = mm_scan[1][:, :, z] t1_image = mm_scan[2][:, :, z] t2_image = mm_scan[3][:, :, z] seg_image = mm_scan[4][:, :, z] stacked_array = np.stack([t1ce_image, flair_image, t1_image, t2_image], axis=-1) all_slices.append(stacked_array) all_masks.append(seg_image) else: results = Parallel(n_jobs=num_cores)( delayed(read_brats_scan_two_modal_with_mask)(flair_files, i, t1ce_files, seg_files) for i in range(len(flair_files))) for mm_scan in results: if mm_scan[0].shape[2] == mm_scan[1].shape[2] == mm_scan[2].shape[2]: for z in range(mm_scan[0].shape[2]): t1ce_image = mm_scan[0][:, :, z] flair_image = mm_scan[1][:, :, z] seg_image = mm_scan[2][:, :, z] stacked_array = np.stack([t1ce_image, flair_image], axis=-1) all_slices.append(stacked_array) all_masks.append(seg_image) return np.array(all_slices), np.array(all_masks) def parallel_load_brats_3D_with_labels(path, multimodal=False): """ loader function for segmentation tasks :param path: :param multimodal: :return: """ t1ce_files = sorted(glob.glob(path + "*_t1ce.nii.gz", recursive=True)) flair_files = sorted(glob.glob(path + "*_flair.nii.gz", recursive=True)) seg_files = sorted(glob.glob(path + "*_seg.nii.gz", recursive=True)) print("loading " + str(len(seg_files)) + " mri scans.") num_cores = multiprocessing.cpu_count() all_scans = list() all_masks = list() if multimodal: t1_files = sorted(glob.glob(path + "*_t1.nii.gz", recursive=True)) t2_files = sorted(glob.glob(path + "*_t2.nii.gz", recursive=True)) results = Parallel(n_jobs=num_cores)( delayed(read_brats_scan_multimodal_with_mask)(flair_files, i, t1_files, t1ce_files, t2_files, seg_files) for i in range(len(flair_files))) for mm_scan in results: t1ce_image = mm_scan[0] flair_image = mm_scan[1] t1_image = mm_scan[2] t2_image = mm_scan[3] seg_image = mm_scan[4] stacked_array = np.stack([t1ce_image, flair_image, t1_image, t2_image], axis=-1) all_scans.append(stacked_array) all_masks.append(seg_image) else: results = Parallel(n_jobs=num_cores)( delayed(read_brats_scan_two_modal_with_mask)(flair_files, i, t1ce_files, seg_files) for i in range(len(flair_files))) for mm_scan in results: t1ce_image = mm_scan[0] flair_image = mm_scan[1] stacked_array = np.stack([t1ce_image, flair_image], axis=-1) seg_image = mm_scan[2] all_scans.append(stacked_array) all_masks.append(seg_image) return np.array(all_scans), np.array(all_masks) new_resolution = (128, 128, 128) def read_brats_scan_multimodal(flair_files, i, t1_files, t1ce_files, t2_files): t1ce_image, nbbox = read_scan_find_bbox(nib.load(t1ce_files[i])) t1ce_image = skTrans.resize(t1ce_image, new_resolution, order=1, preserve_range=True) flair_image = read_scan(nbbox, nib.load(flair_files[i])) flair_image = skTrans.resize(flair_image, new_resolution, order=1, preserve_range=True) t1_image = read_scan(nbbox, nib.load(t1_files[i])) t1_image = skTrans.resize(t1_image, new_resolution, order=1, preserve_range=True) t2_image = read_scan(nbbox, nib.load(t2_files[i])) t2_image = skTrans.resize(t2_image, new_resolution, order=1, preserve_range=True) return t1ce_image, flair_image, t1_image, t2_image def read_brats_scan_two_modal(flair_files, i, t1ce_files): t1ce_scan, nbbox = read_scan_find_bbox(nib.load(t1ce_files[i])) t1ce_scan = skTrans.resize(t1ce_scan, new_resolution, order=1, preserve_range=True) flair_scan = read_scan(nbbox, nib.load(flair_files[i])) flair_scan = skTrans.resize(flair_scan, new_resolution, order=1, preserve_range=True) return t1ce_scan, flair_scan def read_brats_scan_multimodal_with_mask(flair_files, i, t1_files, t1ce_files, t2_files, seg_files): t1ce_image, nbbox = read_scan_find_bbox(nib.load(t1ce_files[i])) t1ce_image = skTrans.resize(t1ce_image, new_resolution, order=1, preserve_range=True) flair_image = read_scan(nbbox, nib.load(flair_files[i])) flair_image = skTrans.resize(flair_image, new_resolution, order=1, preserve_range=True) t1_image = read_scan(nbbox, nib.load(t1_files[i])) t1_image = skTrans.resize(t1_image, new_resolution, order=1, preserve_range=True) t2_image = read_scan(nbbox, nib.load(t2_files[i])) t2_image = skTrans.resize(t2_image, new_resolution, order=1, preserve_range=True) seg_image = read_scan(nbbox, nib.load(seg_files[i]), normalize=False) seg_image = skTrans.resize(seg_image, new_resolution, order=0, preserve_range=True) seg_image = np.asarray(seg_image, dtype=np.int32) seg_image[seg_image == 4] = 3 return t1ce_image, flair_image, t1_image, t2_image, seg_image def read_brats_scan_two_modal_with_mask(flair_files, i, t1ce_files, seg_files): t1ce_image, nbbox = read_scan_find_bbox(nib.load(t1ce_files[i])) t1ce_image = skTrans.resize(t1ce_image, new_resolution, order=1, preserve_range=True) flair_image = read_scan(nbbox, nib.load(flair_files[i])) flair_image = skTrans.resize(flair_image, new_resolution, order=1, preserve_range=True) seg_image = read_scan(nbbox, nib.load(seg_files[i]), normalize=False) seg_image = skTrans.resize(seg_image, new_resolution, order=0, preserve_range=True) seg_image = np.asarray(seg_image, dtype=np.int32) seg_image[seg_image == 4] = 3 return t1ce_image, flair_image, seg_image def read_scan_find_bbox(nif_file, normalize=True): image = nif_file.get_fdata() st_x, en_x, st_y, en_y, st_z, en_z = 0, 0, 0, 0, 0, 0 for x in range(image.shape[0]): if np.any(image[x, :, :]): st_x = x break for x in range(image.shape[0] - 1, -1, -1): if np.any(image[x, :, :]): en_x = x break for y in range(image.shape[1]): if np.any(image[:, y, :]): st_y = y break for y in range(image.shape[1] - 1, -1, -1): if np.any(image[:, y, :]): en_y = y break for z in range(image.shape[2]): if np.any(image[:, :, z]): st_z = z break for z in range(image.shape[2] - 1, -1, -1): if np.any(image[:, :, z]): en_z = z break image = image[st_x:en_x, st_y:en_y, st_z:en_z] if normalize: image = norm(image) nbbox = np.array([st_x, en_x, st_y, en_y, st_z, en_z]).astype(int) return image, nbbox def read_scan(sbbox, nif_file, normalize=True): if normalize: image = norm(nif_file.get_fdata()[sbbox[0]:sbbox[1], sbbox[2]:sbbox[3], sbbox[4]:sbbox[5]]) else: image = nif_file.get_fdata()[sbbox[0]:sbbox[1], sbbox[2]:sbbox[3], sbbox[4]:sbbox[5]] return image def norm(im): im = im.astype(np.float32) min_v = np.min(im) max_v = np.max(im) im = (im - min_v) / (max_v - min_v) return im def _int64_feature(value): """Wrapper for inserting int64 features into Example proto.""" if not isinstance(value, list): value = [value] return tf.train.Feature(int64_list=tf.train.Int64List(value=value)) def _int64_array_feature(value): """Wrapper for inserting int64 features into Example proto.""" return tf.train.Feature(int64_list=tf.train.Int64List(value=value)) def _bytes_feature(value): """Wrapper for inserting bytes features into Example proto.""" return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value])) def _float_feature(value): """Wrapper for inserting float features into Example proto.""" return tf.train.Feature(float_list=tf.train.FloatList(value=value)) def _convert_to_example_no_labels(image_buffer, height, width, multimodal=True): """Build an Example proto for an example. """ if multimodal: channels = 4 else: channels = 2 example = tf.train.Example(features=tf.train.Features(feature={ 'image/height': _int64_feature(height), 'image/width': _int64_feature(width), 'image/channels': _int64_feature(channels), 'image/encoded': _float_feature(image_buffer)})) return example def _convert_to_example_with_labels(image_buffer, mask_buffer, height, width, multimodal=False): """Build an Example proto for an example. """ if multimodal: channels = 4 else: channels = 2 example = tf.train.Example(features=tf.train.Features(feature={ 'image/height': _int64_feature(height), 'image/width': _int64_feature(width), 'image/channels': _int64_feature(channels), 'image/mask': _int64_array_feature(mask_buffer), 'image/encoded': _float_feature(image_buffer)})) return example def np_to_tfrecords_no_labels(X, file_path_prefix, verbose=True, multimodal=True): """ Converts a Numpy array (or two Numpy arrays) into a tfrecord file. For supervised learning, feed training inputs to X and training labels to Y. For unsupervised learning, only feed training inputs to X, and feed None to Y. The length of the first dimensions of X and Y should be the number of samples. Parameters ---------- X : numpy.ndarray of rank 2 Numpy array for training inputs. Its dtype should be float32, float64, or int64. If X has a higher rank, it should be rshape before fed to this function. Y : numpy.ndarray of rank 2 or None Numpy array for training labels. Its dtype should be float32, float64, or int64. None if there is no label array. file_path_prefix : str The path and name of the resulting tfrecord file to be generated, without '.tfrecords' verbose : bool If true, progress is reported. Raises ------ ValueError If input type is not float (64 or 32) or int. """ # Generate tfrecord writer result_tf_file = file_path_prefix + '.tfrecord' if verbose: print("Serializing {:d} examples into {}".format(X.shape[0], result_tf_file)) np.random.shuffle(X) # shuffling input dataset by rows # iterate over each sample, # and serialize it as ProtoBuf. shard = 0 shard_size = SHARD_SIZE if X.shape[0] < SHARD_SIZE: shard_size = 30 num_shards = int(X.shape[0] / shard_size) else: num_shards = int(X.shape[0] / shard_size) print('Total number of shards is ' + str(num_shards)) for idx in range(X.shape[0]): if idx % shard_size == 0: output_filename = '%s-%.5d-of-%.5d' % (result_tf_file, shard, num_shards) writer = tf.python_io.TFRecordWriter(output_filename) shard += 1 print("Created shard {:d}. Working on shard number {:d} now".format(shard - 1, shard)) print(str(idx) + "/" + str(X.shape[0])) x = X[idx] height, width = x.shape[0], x.shape[1] x_reshaped = x.flatten() example = _convert_to_example_no_labels(x_reshaped, height, width, multimodal) serialized = example.SerializeToString() writer.write(serialized) if verbose: print("Writing {} done!".format(result_tf_file)) def np_to_tfrecords_with_labels(X, Y, file_path_prefix, verbose=True, multimodal=True): """ Converts a Numpy array (or two Numpy arrays) into a tfrecord file. For supervised learning, feed training inputs to X and training labels to Y. For unsupervised learning, only feed training inputs to X, and feed None to Y. The length of the first dimensions of X and Y should be the number of samples. Parameters ---------- X : numpy.ndarray of rank 2 Numpy array for training inputs. Its dtype should be float32, float64, or int64. If X has a higher rank, it should be rshape before fed to this function. Y : numpy.ndarray of rank 2 or None Numpy array for training labels. Its dtype should be float32, float64, or int64. None if there is no label array. file_path_prefix : str The path and name of the resulting tfrecord file to be generated, without '.tfrecords' verbose : bool If true, progress is reported. Raises ------ ValueError If input type is not float (64 or 32) or int. """ # Generate tfrecord writer result_tf_file = file_path_prefix + '.tfrecord' if verbose: print("Serializing {:d} examples into {}".format(X.shape[0], result_tf_file)) # shuffling input dataset by rows randomize = np.arange(X.shape[0]) np.random.shuffle(randomize) X = X[randomize] Y = Y[randomize] # iterate over each sample, and serialize it with its corresponding mask as ProtoBuf. shard = 0 shard_size = SHARD_SIZE if X.shape[0] < SHARD_SIZE: shard_size = 30 num_shards = int(X.shape[0] / shard_size) else: num_shards = int(X.shape[0] / shard_size) print('Total number of shards is ' + str(num_shards)) for idx in range(X.shape[0]): if idx % shard_size == 0: output_filename = '%s-%.5d-of-%.5d' % (result_tf_file, shard, num_shards) writer = tf.python_io.TFRecordWriter(output_filename) shard += 1 print("Created shard {:d}. Working on shard number {:d} now".format(shard - 1, shard)) print(str(idx) + "/" + str(X.shape[0])) x = X[idx] y = Y[idx] assert x.shape[0] == y.shape[0] assert x.shape[1] == y.shape[1] height, width = x.shape[0], x.shape[1] x_reshaped = x.flatten() y_reshaped = y.flatten() example = _convert_to_example_with_labels(x_reshaped, y_reshaped, height, width, multimodal) serialized = example.SerializeToString() writer.write(serialized) if verbose: print("Writing {} done!".format(result_tf_file)) if __name__ == "__main__": ################################# ## Test and Use Cases ## ################################# brats_path = "/mnt/30T/brats/MICCAI_BraTS_2018_Data_Training/**/" file_prefix = 'train_3D_with_labels' with_masks = True # brats_path = "/mnt/30T/brats/MICCAI_BraTS_2018_Data_Validation/**/" # file_prefix = 'validation_3D_two_modal' # with_masks = False is3D = True multimodal = False # True: use 4 modalities, False: use only 2 (t1ce + t2flair) if with_masks: if is3D: brats_X, brats_Y = parallel_load_brats_3D_with_labels(brats_path, multimodal) else: brats_X, brats_Y = parallel_load_brats_with_labels(brats_path, multimodal) print(brats_X.shape, brats_Y.shape) np_to_tfrecords_with_labels(brats_X, brats_Y, file_prefix, verbose=True, multimodal=multimodal) else: if is3D: brats_data = parallel_load_brats_3D_no_labels(brats_path, multimodal) else: brats_data = parallel_load_brats_no_labels(brats_path, multimodal) print(brats_data.shape) np_to_tfrecords_no_labels(brats_data, file_prefix, verbose=True, multimodal=multimodal)

40.278656

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0.639076

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0.027767

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0.804741

0.782983

0.757814

0

0.025605

0.241156

20,381

505

117

40.358416

0.770788

0.141946

0

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0

0.046101

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0.046243

0

null

0

1

0

null

0

6

6a189679734368ae4ec513dc59cbda2d1c5d5f78

46

py

Python

Data Scientist Career Path/4. Data Acquisition/2. Web Scraping/1. intro.py

myarist/Codecademy

2ba0f104bc67ab6ef0f8fb869aa12aa02f5f1efb

[ "MIT" ]

23

2021-06-06T15:35:55.000Z

2022-03-21T06:53:42.000Z

Data Scientist Career Path/4. Data Acquisition/2. Web Scraping/1. intro.py

shivaniverma1/Data-Scientist

f82939a411484311171465591455880c8e354750

[ "MIT" ]

null

Data Scientist Career Path/4. Data Acquisition/2. Web Scraping/1. intro.py

shivaniverma1/Data-Scientist

f82939a411484311171465591455880c8e354750

[ "MIT" ]

9

2021-06-08T01:32:04.000Z

2022-03-18T15:38:09.000Z

from preprocess import turtles print(turtles)

15.333333

30

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46

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1

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1

0

1

0

6

e04958b35c35f902235d68cb1ef393756a37d57d

9,419

py

Python

main.py

cmlohr/py_discord_bot

7d7dce9911553b0371477df69c157938bef1b92c

[ "MIT" ]

null

main.py

cmlohr/py_discord_bot

7d7dce9911553b0371477df69c157938bef1b92c

[ "MIT" ]

null

main.py

cmlohr/py_discord_bot

7d7dce9911553b0371477df69c157938bef1b92c

[ "MIT" ]

null

import os import discord import requests import json import random import hello from datetime import datetime import pytz bot_bday = "January 1, 2022" tz_central = pytz.timezone('America/Chicago') time_central = datetime.now(tz_central) print("NY: ", time_central.strftime("%H:%M")) tz_London = pytz.timezone('Europe/London') time_London = datetime.now(tz_London) print("London: ", time_London.strftime("%H:%M")) my_secret = os.environ['TOKEN'] client = discord.Client() def get_quote(): response = requests.get("https://cat-fact.herokuapp.com/facts") this_json = json.loads(response.text) random_fact = random.randrange(0, len(this_json)) print(this_json) return this_json[random_fact]['text'] def get_joke(): response = requests.get("https://icanhazdadjoke.com/", headers={"Accept": "application/json"}) this_joke = json.loads(response.text) print(this_joke) return this_joke['joke'] # def check_hello(): # is_hello = random.choice(hello.hello_check) # print(is_hello) # print(type(is_hello)) # return is_hello def rand_greeting(): random_hello = random.choice(hello.greetings) return random_hello def bad_testy(): testy_response = random.choice(hello.testy_is_being_bad) return testy_response def testy_abuse(): testy_abuse_response = random.choice(hello.smack_testy_responses) return testy_abuse_response def rand_would_you_rather(): random_wyr = random.choice(hello.would_you_rather_array) return random_wyr @client.event async def on_ready(): print('We have logged in a {0.user}.'.format(client)) @client.event async def on_message(message): if message.author == client.user: return if message.content.startswith("$WYR"): await message.channel.send(rand_would_you_rather()) if message.content.startswith("$wyr"): await message.channel.send(rand_would_you_rather()) # greeting if message.content.startswith("$hey"): await message.channel.send(rand_greeting()) if message.content.startswith("$hello"): await message.channel.send(rand_greeting()) if message.content.startswith("$Hi"): await message.channel.send(rand_greeting()) if message.content.startswith("$Hey"): await message.channel.send(rand_greeting()) if message.content.startswith("$Hello"): await message.channel.send(rand_greeting()) if message.content.startswith("$hi"): await message.channel.send(rand_greeting()) if message.content.startswith("$hello testy"): await message.channel.send(rand_greeting()) if message.content.startswith("$hello Testy"): await message.channel.send(rand_greeting()) # time if message.content.startswith("$What time is it in London?"): await message.channel.send(time_London.strftime("%H:%M")) if message.content.startswith("$London time?"): await message.channel.send(time_London.strftime("%H:%M")) if message.content.startswith("$London time"): await message.channel.send(time_London.strftime("%H:%M")) if message.content.startswith("$What time is it in New Orleans?"): await message.channel.send(time_central.strftime("%H:%M")) if message.content.startswith("$What time is it in Chicago?"): await message.channel.send(time_central.strftime("%H:%M")) if message.content.startswith("$What time is it for you Testy?"): await message.channel.send(time_central.strftime("%H:%M")) if message.content.startswith("$Testy time?"): await message.channel.send(time_central.strftime("%H:%M")) if message.content.startswith("$Testy time"): await message.channel.send(time_central.strftime("%H:%M")) if message.content.startswith("$Chicago time?"): await message.channel.send(time_central.strftime("%H:%M")) if message.content.startswith("$Chicago time"): await message.channel.send(time_central.strftime("%H:%M")) if message.content.startswith("$New Orleans time?"): await message.channel.send(time_central.strftime("%H:%M")) if message.content.startswith("$New Orleans time"): await message.channel.send(time_central.strftime("%H:%M")) # if message.content.startswith('$'): # await message.channel.send('Hello C') if message.content.startswith('$cats?'): await message.channel.send('Today I learned this about cats: ' + get_quote()) if message.content.startswith("$joke"): await message.channel.send(get_joke()) if message.content.startswith("$what is the meaning of life?"): await message.channel.send("forty-two") if message.content.startswith("$What is the meaning of life?"): await message.channel.send("forty-two") # bday if message.content.startswith("$What is your birthday"): await message.channel.send(bot_bday) if message.content.startswith("$what is your birthday"): await message.channel.send(bot_bday) if message.content.startswith("$When where you born"): await message.channel.send(bot_bday) if message.content.startswith("$when where you born"): await message.channel.send(bot_bday) if message.content.startswith("$What is your birthday?"): await message.channel.send(bot_bday) if message.content.startswith("$When where you born?"): await message.channel.send(bot_bday) # creator? if message.content.startswith("$Who is your creator"): await message.channel.send("I'm a bot created by Colleen Lohr") if message.content.startswith("$who is your creator"): await message.channel.send("I'm a bot created by Colleen Lohr") if message.content.startswith("$who made you"): await message.channel.send("I'm a bot created by Colleen Lohr") if message.content.startswith("$Who created you"): await message.channel.send("I'm a bot created by Colleen Lohr") if message.content.startswith("$Who is your creator?"): await message.channel.send("I'm a bot created by Colleen Lohr") if message.content.startswith("$Who created you?"): await message.channel.send("I'm a bot created by Colleen Lohr") # where are you from if message.content.startswith("$Where are you from?"): await message.channel.send("I'm from the United States") if message.content.startswith("$Where are you from"): await message.channel.send("I'm from the United States") if message.content.startswith("$where are you from"): await message.channel.send("I'm from the United States") # fav color if message.content.startswith("$What is your favorite color?"): await message.channel.send("I like blurple") if message.content.startswith("$What is your favorite color"): await message.channel.send("I like blurple") if message.content.startswith("$what is your favorite color"): await message.channel.send("I like blurple") if message.content.startswith("$What is your favorite colour"): await message.channel.send("I like blurple") if message.content.startswith("$what is your favorite colour"): await message.channel.send("I like blurple") if message.content.startswith("$What is your favorite colour?"): await message.channel.send("I like blurple") # bad testy if message.content.startswith("$Bad Testy"): await message.channel.send(bad_testy()) if message.content.startswith("$bad Testy"): await message.channel.send(bad_testy()) if message.content.startswith("$bad testy"): await message.channel.send(bad_testy()) if message.content.startswith("$bad testy!"): await message.channel.send(bad_testy()) if message.content.startswith("$Bad testy!"): await message.channel.send(bad_testy()) if message.content.startswith("$bad Testy!"): await message.channel.send(bad_testy()) if message.content.startswith("$🗞️"): await message.channel.send(testy_abuse()) # who is colleen? if message.content.startswith("$Who is Colleen"): await message.channel.send("Colleen is the awesome lady who made me") if message.content.startswith("$Who is Colleen?"): await message.channel.send("Colleen is the awesome lady who made me") if message.content.startswith("$Who is Colleen Lohr?"): await message.channel.send("Colleen Lohr is the awesome lady who made me") if message.content.startswith("$Who is Colleen Lohr"): await message.channel.send("Colleen Lohr is the awesome lady who made me") # what is your github? if message.content.startswith("$What is your github?"): await message.channel.send("My github is https://github.com/cmlohr/Testy_the_bot") if message.content.startswith("$what is your github"): await message.channel.send("My github is https://github.com/cmlohr/Testy_the_bot") if message.content.startswith("$code"): await message.channel.send("My github is https://github.com/cmlohr/Testy_the_bot") if message.content.startswith("$Code"): await message.channel.send("My github is https://github.com/cmlohr/Testy_the_bot") if message.content.startswith("$Code?"): await message.channel.send("My github is https://github.com/cmlohr/Testy_the_bot") client.run(my_secret)

33.881295

98

0.689882

1,263

9,419

5.063341

0.111639

0.091478

0.160125

0.260203

0.776701

0.76294

0.756685

0

0.000903

0.176664

9,419

277

99

34.00361

0.823469

0.034186

0

0.356322

0

0.231828

0

1

0.034483

false

0

0.045977

0

0.12069

0.028736

0

null

0

1

0

1

0

null

0

6

e059e222c8ec0cdcc6bc06ce8abde5b4b3b83d26

32,503

py

Python

nar_module/nar/metrics.py

xiaoli0/chameleon_recsys

554a99a6381803232b57eb948d170c219cd431e4

[ "MIT" ]

1

2021-03-01T17:44:04.000Z

nar_module/nar/metrics.py

xiaoli0/chameleon_recsys

554a99a6381803232b57eb948d170c219cd431e4

[ "MIT" ]

9

2020-01-28T23:07:43.000Z

2022-02-10T00:36:23.000Z

nar_module/nar/metrics.py

xiaoli0/chameleon_recsys

554a99a6381803232b57eb948d170c219cd431e4

[ "MIT" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np import math from collections import defaultdict from sklearn.metrics import pairwise def cosine_distance(v1, v2): #As cosine similarity interval is [-1.0, 1.0], the cosine distance interval is [0.0, 2.0]. #This normalizes the cosine distance to interval [0.0, 1.0] return pairwise.cosine_distances(v1, v2) / 2.0 #For ranks index starting from 0 def log_rank_discount(k): return 1./math.log2(k+2) class StreamingMetric: name = 'undefined' def __init__(self, topn): self.topn = topn self.reset() def reset(self): pass def add(self, predictions, labels): pass def result(self): pass class MRR(StreamingMetric): name = 'mrr_at_n' def __init__(self, topn): super().__init__(topn) def reset(self): self.mrr_results = [] def add(self, predictions, labels): measures = [] for row_idx, session_labels in enumerate(labels): for col_idx, item_label in enumerate(session_labels): if item_label != 0: correct_preds = (item_label == predictions[row_idx, col_idx])[:self.topn].astype(np.int32) correct_preds_pos = np.where(correct_preds)[0] reciprocal_rank = 0 if len(correct_preds_pos) > 0: reciprocal_rank = 1.0 / (1+correct_preds_pos[0]) measures.append(reciprocal_rank) self.mrr_results.extend(measures) def result(self): avg_mrr = np.mean(self.mrr_results) return avg_mrr class NDCG(StreamingMetric): name = 'ndcg_at_n' def __init__(self, topn): super().__init__(topn) def reset(self): self.ndcg_results = [] def add(self, predictions, labels): measures = [] for row_idx, session_labels in enumerate(labels): for col_idx, item_label in enumerate(session_labels): if item_label != 0: correct_preds = (item_label == predictions[row_idx, col_idx]).astype(np.int32) ndcg = NDCG._ndcg_at_k(correct_preds, self.topn) measures.append(ndcg) self.ndcg_results.extend(measures) def result(self): avg_ndcg = np.mean(self.ndcg_results) return avg_ndcg @staticmethod def _ndcg_at_k(r, k): #Based on https://gist.github.com/bwhite/3726239, but with alternative formulation of DCG #which places stronger emphasis on retrieving relevant documents (used in Kaggle) def dcg_at_k(r, k): r = np.asfarray(r)[:k] if r.size: return np.sum((np.power(2,r)-1) / np.log2(np.arange(2, r.size + 2))) return 0. dcg_max = dcg_at_k(sorted(r, reverse=True), k) if not dcg_max: return 0. return dcg_at_k(r, k) / dcg_max class HitRate(StreamingMetric): name = 'hitrate_at_n' def __init__(self, topn): super().__init__(topn) def reset(self): self.hitrate_total = 0 self.hitrate_matches = 0 def add(self, predictions, labels): total = 0 matches = 0 for row_idx, session_labels in enumerate(labels): for col_idx, item_label in enumerate(session_labels): if item_label != 0: total += 1 if item_label in predictions[row_idx, col_idx][:self.topn]: matches += 1 self.hitrate_total += total self.hitrate_matches += matches def result(self): hitrate = self.hitrate_matches / float(self.hitrate_total) return hitrate class HitRateBySessionPosition(StreamingMetric): name = 'hitrate_at_n_by_pos' def __init__(self, topn): super().__init__(topn) def reset(self): self.hitrate_matches_by_session_pos = defaultdict(int) self.hitrate_total_by_session_pos = defaultdict(int) self.norm_pop_by_pos = defaultdict(int) def add(self, predictions, labels, labels_norm_pop): for row_idx, session_labels in enumerate(labels): for col_idx, item_label in enumerate(session_labels): if item_label != 0: self.hitrate_total_by_session_pos[col_idx+1] += 1 self.norm_pop_by_pos[col_idx+1] += labels_norm_pop[row_idx, col_idx] if item_label in predictions[row_idx, col_idx][:self.topn]: self.hitrate_matches_by_session_pos[col_idx+1] += 1 def result(self): hitrate_by_session_pos = dict([(key, (self.hitrate_matches_by_session_pos[key] if key in self.hitrate_matches_by_session_pos else 0) \ / float(self.hitrate_total_by_session_pos[key])) \ for key in self.hitrate_total_by_session_pos]) avg_norm_pop_by_session_pos = dict([(key, (self.norm_pop_by_pos[key] if key in self.norm_pop_by_pos else 0) \ / float(self.hitrate_total_by_session_pos[key])) \ for key in self.hitrate_total_by_session_pos]) return hitrate_by_session_pos, avg_norm_pop_by_session_pos, self.hitrate_total_by_session_pos class PopularityBias(StreamingMetric): name = 'pop_bias_at_n' def __init__(self, topn): super().__init__(topn) def reset(self): self.results = [] def add(self, predictions, labels, predictions_norm_pop): measures = [] for row_idx, session_preds_norm_pop in enumerate(predictions_norm_pop): for col_idx, item_preds_norm_pop in enumerate(session_preds_norm_pop): #If this is not a padded item if labels[row_idx, col_idx] != 0: click_top_predictions_pop_norm = item_preds_norm_pop[:self.topn] measures.extend(click_top_predictions_pop_norm) self.results.extend(measures) def result(self): avg_pop = np.mean(self.results) return avg_pop class Novelty(StreamingMetric): name = 'novelty_at_n' def __init__(self, topn): super().__init__(topn) def reset(self): self.results = [] def add(self, predictions, labels, predictions_norm_pop): measures = [] for row_idx, session_preds_norm_pop in enumerate(predictions_norm_pop): for col_idx, item_preds_norm_pop in enumerate(session_preds_norm_pop): #If this is not a padded item if labels[row_idx, col_idx] != 0: #From "Novelty and Diversity Metrics for Recommender Systems - Choice, Discovery and Relevance" (2011) novelty = -np.log2(item_preds_norm_pop[:self.topn]) measures.extend(novelty) self.results.extend(measures) def result(self): avg_novelty = np.mean(self.results) return avg_novelty class ExpectedRankSensitiveNovelty(StreamingMetric): name = 'esi-r_at_n' def __init__(self, topn): super().__init__(topn) def reset(self): self.results = [] def add(self, predictions, labels, predictions_norm_pop): for row_idx, session_preds_norm_pop in enumerate(predictions_norm_pop): for col_idx, item_preds_norm_pop in enumerate(session_preds_norm_pop): #If this is not a padded item if labels[row_idx, col_idx] != 0: top_preds_norm_pop = item_preds_norm_pop[:self.topn] disc_weights = [] items_novelty = [] for i in range(0,len(top_preds_norm_pop)-1): #Logarithmic rank discount, to prioritize more diverse items in the top of the list discount = log_rank_discount(i) #From "Novelty and Diversity Metrics for Recommender Systems - Choice, Discovery and Relevance" (2011) item_novelty = -np.log2(top_preds_norm_pop[i]) items_novelty.append(item_novelty*discount) disc_weights.append(discount) #Expected Novelty with logarithmic rank discount #Adapted from "Incorporating Diversity in a Learning to Rank Recommender System" (2016) avg_novelty = sum(items_novelty) / float(sum(disc_weights)) self.results.append(avg_novelty) def result(self): avg_novelty = np.mean(self.results) return avg_novelty class ExpectedRankRelevanceSensitiveNovelty(StreamingMetric): name = 'esi-rr_at_n' def __init__(self, topn, relevance_positive_sample, relevance_negative_samples): super().__init__(topn) self.relevance_positive_sample = relevance_positive_sample self.relevance_negative_samples = relevance_negative_samples def reset(self): self.results = [] def add(self, predictions, labels, predictions_norm_pop): for row_idx in range(len(predictions)): for col_idx in range(len(predictions[row_idx])): #If this is not a padded item if labels[row_idx, col_idx] != 0: click_top_predictions = predictions[row_idx, col_idx][:self.topn] click_top_preds_norm_pop = predictions_norm_pop[row_idx, col_idx][:self.topn] items_novelty = [] weights = [] for i in range(0,len(click_top_preds_norm_pop)-1): #Logarithmic rank discount, to prioritize more diverse items in the top of the list discount = log_rank_discount(i) #From "Novelty and Diversity Metrics for Recommender Systems - Choice, Discovery and Relevance" (2011) item_novelty = -np.log2(click_top_preds_norm_pop[i]) relevance = self.relevance_positive_sample if click_top_predictions[i] == labels[row_idx, col_idx] else self.relevance_negative_samples items_novelty.append(item_novelty*discount*relevance) weights.append(discount) #Expected Novelty with logarithmic rank discount #Adapted from "Incorporating Diversity in a Learning to Rank Recommender System" (2016) avg_novelty = sum(items_novelty) / float(sum(weights)) self.results.append(avg_novelty) def result(self): avg_novelty = np.mean(self.results) return avg_novelty #TODO: Initialize with the clicks in buffer (when evaluation starts) class ItemCoverage(StreamingMetric): name = 'item_coverage_at_n' def __init__(self, topn, recent_clicks_buffer): self.recent_clicks_buffer = recent_clicks_buffer super().__init__(topn) def reset(self): self.clicked_items = set(self.recent_clicks_buffer) self.recommended_items = set() def add(self, predictions, labels, clicked_items): for row_idx, session_predictions in enumerate(predictions): for col_idx, item_predictions in enumerate(session_predictions): #If this is not a padded item if labels[row_idx, col_idx] != 0: click_top_predictions = item_predictions[:self.topn] self.recommended_items.update(click_top_predictions) ####Including both the clicked item and all recommended items to ensure that we have a comprehensive set of all recommendable items at a given time batch_clicked_items = set(np.hstack([labels[np.nonzero(labels)], clicked_items[np.nonzero(clicked_items)]])) self.clicked_items.update(batch_clicked_items) def result(self): item_coverage = len(self.recommended_items) / float(len(self.clicked_items)) return item_coverage class ContentAverageIntraListDiversity(StreamingMetric): name = 'content_avg_ild_at_n' def __init__(self, topn, content_article_embeddings_matrix): super().__init__(topn) self.content_article_embeddings_matrix = content_article_embeddings_matrix def reset(self): self.results = [] def add(self, predictions, labels): for row_idx, session_predictions in enumerate(predictions): for col_idx, item_predictions in enumerate(session_predictions): #If this is not a padded item if labels[row_idx, col_idx] != 0: click_top_predictions = item_predictions[:self.topn] distances = cosine_distance(self.content_article_embeddings_matrix[click_top_predictions], self.content_article_embeddings_matrix[click_top_predictions]) dists = [] for i in range(0,len(click_top_predictions)-1): for j in range(i+1,len(click_top_predictions)): cos_dist = distances[i,j] dists.append(cos_dist) avg_cos_dist = sum(dists) / float(len(dists)) self.results.append(avg_cos_dist) def result(self): avg_cos_dist = np.mean(self.results) return avg_cos_dist #Inspired in https://lsrs2017.files.wordpress.com/2017/08/lsrs_2017_lamingchen.pdf class ContentMedianIntraListDiversity(StreamingMetric): name = 'content_median_ild_at_n' def __init__(self, topn, content_article_embeddings_matrix): super().__init__(topn) self.content_article_embeddings_matrix = content_article_embeddings_matrix def reset(self): self.results = [] def add(self, predictions, labels): for row_idx, session_predictions in enumerate(predictions): for col_idx, item_predictions in enumerate(session_predictions): #If this is not a padded item if labels[row_idx, col_idx] != 0: click_top_predictions = item_predictions[:self.topn] distances = cosine_distance(self.content_article_embeddings_matrix[click_top_predictions], self.content_article_embeddings_matrix[click_top_predictions]) dists = [] for i in range(0,len(click_top_predictions)-1): for j in range(i+1,len(click_top_predictions)): cos_dist = distances[i,j] dists.append(cos_dist) median_cos_dist = np.median(dists) self.results.append(median_cos_dist) def result(self): avg_cos_dist = np.mean(self.results) return avg_cos_dist #Inspired in https://lsrs2017.files.wordpress.com/2017/08/lsrs_2017_lamingchen.pdf class ContentMinIntraListDiversity(StreamingMetric): name = 'content_min_ild_at_n' def __init__(self, topn, content_article_embeddings_matrix): super().__init__(topn) self.content_article_embeddings_matrix = content_article_embeddings_matrix def reset(self): self.results = [] def add(self, predictions, labels): for row_idx, session_predictions in enumerate(predictions): for col_idx, item_predictions in enumerate(session_predictions): #If this is not a padded item if labels[row_idx, col_idx] != 0: click_top_predictions = item_predictions[:self.topn] distances = cosine_distance(self.content_article_embeddings_matrix[click_top_predictions], self.content_article_embeddings_matrix[click_top_predictions]) dists = [] for i in range(0,len(click_top_predictions)-1): for j in range(i+1,len(click_top_predictions)): cos_dist = distances[i,j] dists.append(cos_dist) min_cos_dist = np.min(dists) self.results.append(min_cos_dist) def result(self): avg_cos_dist = np.mean(self.results) return avg_cos_dist class ContentExpectedRankSensitiveIntraListDiversity(StreamingMetric): name = 'content_eild-r_v2_at_n' def __init__(self, topn, content_article_embeddings_matrix): super().__init__(topn) self.content_article_embeddings_matrix = content_article_embeddings_matrix def reset(self): self.results = [] def add(self, predictions, labels): for row_idx, session_predictions in enumerate(predictions): for col_idx, item_predictions in enumerate(session_predictions): #If this is not a padded item if labels[row_idx, col_idx] != 0: click_top_predictions = item_predictions[:self.topn] distances = cosine_distance(self.content_article_embeddings_matrix[click_top_predictions], self.content_article_embeddings_matrix[click_top_predictions]) avg_dists = [] disc_weights = [] for i in range(0,len(click_top_predictions)-1): #Logarithmic rank discount, to prioritize more diverse items in the top of the list discount = 1./math.log2(i+2) disc_weights.append(discount) dists = [] for j in range(i+1,len(click_top_predictions)): dist = distances[i,j] dists.append(dist) avg_dist = sum(dists)/float(len(dists)) avg_dists.append(avg_dist*discount) #Expected Intra-List Diversity (EILD) with logarithmic rank discount #From "Incorporating Diversity in a Learning to Rank Recommender System" (2016) avg_cos_dist = sum(avg_dists) / float(sum(disc_weights)) self.results.append(avg_cos_dist) def result(self): avg_cos_dist = np.mean(self.results) return avg_cos_dist class ContentExpectedRankRelativeSensitiveIntraListDiversity(StreamingMetric): name = 'content_eild-r_at_n' def __init__(self, topn, content_article_embeddings_matrix): super().__init__(topn) self.content_article_embeddings_matrix = content_article_embeddings_matrix def reset(self): self.results = [] def add(self, predictions, labels): for row_idx, session_predictions in enumerate(predictions): for col_idx, item_predictions in enumerate(session_predictions): #If this is not a padded item if labels[row_idx, col_idx] != 0: click_top_predictions = item_predictions[:self.topn] distances = cosine_distance(self.content_article_embeddings_matrix[click_top_predictions], self.content_article_embeddings_matrix[click_top_predictions]) avg_dists = [] disc_weights = [] for i in range(0,len(click_top_predictions)-1): dists = [] weights = [] for j in range(0, len(click_top_predictions)): #Ignoring self-similarity if j == i: continue dist = distances[i,j] #Under the assumption that diversity of the items is more perceived by users when items are near in the ranked list rel_discount = log_rank_discount(max(0, j-i-1)) dists.append(dist * rel_discount) weights.append(rel_discount) weighted_avg_dists = sum(dists)/float(sum(weights)) #Logarithmic rank discount, to prioritize more diverse items in the top of the list discount = log_rank_discount(i) avg_dists.append(weighted_avg_dists*discount) disc_weights.append(discount) #Expected Intra-List Diversity (EILD) with logarithmic rank discount #From "Incorporating Diversity in a Learning to Rank Recommender System" (2016) avg_cos_dist = sum(avg_dists) / float(sum(disc_weights)) self.results.append(avg_cos_dist) def result(self): avg_cos_dist = np.mean(self.results) return avg_cos_dist class ContentExpectedRankRelativeRelevanceSensitiveIntraListDiversity(StreamingMetric): name = 'content_eild-rr_at_n' def __init__(self, topn, content_article_embeddings_matrix, relevance_positive_sample, relevance_negative_samples): super().__init__(topn) self.content_article_embeddings_matrix = content_article_embeddings_matrix self.relevance_positive_sample = relevance_positive_sample self.relevance_negative_samples = relevance_negative_samples def reset(self): self.results = [] def add(self, predictions, labels): for row_idx, session_predictions in enumerate(predictions): for col_idx, item_predictions in enumerate(session_predictions): #If this is not a padded item if labels[row_idx, col_idx] != 0: click_top_predictions = item_predictions[:self.topn] distances = cosine_distance(self.content_article_embeddings_matrix[click_top_predictions], self.content_article_embeddings_matrix[click_top_predictions]) avg_dists = [] disc_weights = [] for i in range(0,len(click_top_predictions)-1): dists = [] weights = [] for j in range(i+1,len(click_top_predictions)): #Ignoring self-similarity if j == i: continue dist = distances[i,j] #Weights item by relevance relevance_j = self.relevance_positive_sample if click_top_predictions[j] == labels[row_idx, col_idx] else self.relevance_negative_samples #Under the assumption that diversity of the items is more perceived by users when items are near in the ranked list rel_discount = log_rank_discount(max(0, j-i-1)) dists.append(dist * rel_discount * relevance_j) weights.append(rel_discount * relevance_j) avg_dists_i = sum(dists)/float(sum(weights)) #Weights item by relevance relevance_i = self.relevance_positive_sample if click_top_predictions[i] == labels[row_idx, col_idx] else self.relevance_negative_samples #Logarithmic rank discount, to prioritize more diverse items in the top of the list rank_discount_i = log_rank_discount(i) avg_dists.append(avg_dists_i * rank_discount_i * relevance_i) disc_weights.append(rank_discount_i) #Expected Intra-List Diversity (EILD) with logarithmic rank discount #From "Incorporating Diversity in a Learning to Rank Recommender System" (2016) avg_cos_dist = sum(avg_dists) / float(sum(disc_weights)) self.results.append(avg_cos_dist) def result(self): avg_cos_dist = np.mean(self.results) return avg_cos_dist class ContentExpectedRankRelevanceSensitiveIntraListDiversity(StreamingMetric): name = 'content_eild-rr_v2_at_n' def __init__(self, topn, content_article_embeddings_matrix, relevance_positive_sample, relevance_negative_samples): super().__init__(topn) self.content_article_embeddings_matrix = content_article_embeddings_matrix self.relevance_positive_sample = relevance_positive_sample self.relevance_negative_samples = relevance_negative_samples def reset(self): self.results = [] def add(self, predictions, labels): for row_idx, session_predictions in enumerate(predictions): for col_idx, item_predictions in enumerate(session_predictions): #If this is not a padded item if labels[row_idx, col_idx] != 0: click_top_predictions = item_predictions[:self.topn] distances = cosine_distance(self.content_article_embeddings_matrix[click_top_predictions], self.content_article_embeddings_matrix[click_top_predictions]) avg_dists = [] disc_weights = [] for i in range(0,len(click_top_predictions)-1): dists = [] #weights = [] for j in range(i+1,len(click_top_predictions)): #Ignoring self-similarity if j == i: continue ''' embedding_item_i = self.content_article_embeddings_matrix[click_top_predictions[i]].reshape(1,-1) embedding_item_j = self.content_article_embeddings_matrix[click_top_predictions[j]].reshape(1,-1) dist = cosine_distance(embedding_item_i, embedding_item_j) ''' dist = distances[i,j] #Weights item by relevance #relevance_j = self.relevance_positive_sample if click_top_predictions[j] == labels[row_idx, col_idx] else self.relevance_negative_samples #Under the assumption that diversity of the items is more perceived by users when items are near in the ranked list #rel_discount = log_rank_discount(max(0, j-i-1)) dists.append(dist) #weights.append(rel_discount * relevance_j) #avg_dists_i = sum(dists)/float(sum(weights)) avg_dists_i = sum(dists)/float(len(dists)) #Weights item by relevance relevance_i = self.relevance_positive_sample if click_top_predictions[i] == labels[row_idx, col_idx] else self.relevance_negative_samples #Logarithmic rank discount, to prioritize more diverse items in the top of the list rank_discount_i = log_rank_discount(i) avg_dists.append(avg_dists_i * rank_discount_i * relevance_i) disc_weights.append(rank_discount_i) #Expected Intra-List Diversity (EILD) with logarithmic rank discount #From "Incorporating Diversity in a Learning to Rank Recommender System" (2016) avg_cos_dist = sum(avg_dists) / float(sum(disc_weights)) self.results.append(avg_cos_dist) def result(self): avg_cos_dist = np.mean(self.results) return avg_cos_dist class CategoryExpectedIntraListDiversity(StreamingMetric): name = 'category_eild_at_n' def __init__(self, topn, categories): super().__init__(topn) self.categories = categories def reset(self): self.results = [] def add(self, predictions, labels): for row_idx, session_predictions in enumerate(predictions): for col_idx, item_predictions in enumerate(session_predictions): #If this is not a padded item if labels[row_idx, col_idx] != 0: click_top_predictions = item_predictions[:self.topn] #TODO: Vectorize this inner loop (too slow) avg_dists = [] disc_weights = [] for i in range(0,len(click_top_predictions)-1): dists = [] weights = [] for j in range(0, len(click_top_predictions)): #Ignoring self-similarity if j == i: continue category_item_i = self.categories[click_top_predictions[i]].reshape(1,-1) category_item_j = self.categories[click_top_predictions[j]].reshape(1,-1) dist = 0.0 if category_item_i == category_item_j else 1.0 #Under the assumption that diversity of the items is more perceived by users when items are near in the ranked list rel_discount = log_rank_discount(max(0, j-i-1)) dists.append(dist * rel_discount) weights.append(rel_discount) avg_dist = sum(dists)/float(sum(weights)) #Logarithmic rank discount, to prioritize more diverse items in the top of the list discount = log_rank_discount(i) avg_dists.append(avg_dist*discount) disc_weights.append(discount) #Expected Intra-List Diversity (EILD) with logarithmic rank discount #From "Incorporating Diversity in a Learning to Rank Recommender System" (2016) avg_cos_dist = sum(avg_dists) / float(sum(disc_weights)) self.results.append(avg_cos_dist) def result(self): avg_cos_dist = np.mean(self.results) return avg_cos_dist

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