xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

36f07c5998a8f6b400997eacae0b44860312f432

9,394

py

Python

StyleText/arch/decoder.py

Bourne-M/PaddleOCR

865e737413d430798b8c17525dcc22db4d106752

[ "Apache-2.0" ]

20,401

2020-05-08T10:56:13.000Z

2022-03-31T23:34:38.000Z

StyleText/arch/decoder.py

Bourne-M/PaddleOCR

865e737413d430798b8c17525dcc22db4d106752

[ "Apache-2.0" ]

4,988

2020-05-10T08:19:41.000Z

2022-03-31T17:57:11.000Z

StyleText/arch/decoder.py

Bourne-M/PaddleOCR

865e737413d430798b8c17525dcc22db4d106752

[ "Apache-2.0" ]

4,479

2020-05-08T11:12:13.000Z

2022-03-31T11:55:28.000Z

# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import paddle import paddle.nn as nn from arch.base_module import SNConv, SNConvTranspose, ResBlock class Decoder(nn.Layer): def __init__(self, name, encode_dim, out_channels, use_bias, norm_layer, act, act_attr, conv_block_dropout, conv_block_num, conv_block_dilation, out_conv_act, out_conv_act_attr): super(Decoder, self).__init__() conv_blocks = [] for i in range(conv_block_num): conv_blocks.append( ResBlock( name="{}_conv_block_{}".format(name, i), channels=encode_dim * 8, norm_layer=norm_layer, use_dropout=conv_block_dropout, use_dilation=conv_block_dilation, use_bias=use_bias)) self.conv_blocks = nn.Sequential(*conv_blocks) self._up1 = SNConvTranspose( name=name + "_up1", in_channels=encode_dim * 8, out_channels=encode_dim * 4, kernel_size=3, stride=2, padding=1, output_padding=1, use_bias=use_bias, norm_layer=norm_layer, act=act, act_attr=act_attr) self._up2 = SNConvTranspose( name=name + "_up2", in_channels=encode_dim * 4, out_channels=encode_dim * 2, kernel_size=3, stride=2, padding=1, output_padding=1, use_bias=use_bias, norm_layer=norm_layer, act=act, act_attr=act_attr) self._up3 = SNConvTranspose( name=name + "_up3", in_channels=encode_dim * 2, out_channels=encode_dim, kernel_size=3, stride=2, padding=1, output_padding=1, use_bias=use_bias, norm_layer=norm_layer, act=act, act_attr=act_attr) self._pad2d = paddle.nn.Pad2D([1, 1, 1, 1], mode="replicate") self._out_conv = SNConv( name=name + "_out_conv", in_channels=encode_dim, out_channels=out_channels, kernel_size=3, use_bias=use_bias, norm_layer=None, act=out_conv_act, act_attr=out_conv_act_attr) def forward(self, x): if isinstance(x, (list, tuple)): x = paddle.concat(x, axis=1) output_dict = dict() output_dict["conv_blocks"] = self.conv_blocks.forward(x) output_dict["up1"] = self._up1.forward(output_dict["conv_blocks"]) output_dict["up2"] = self._up2.forward(output_dict["up1"]) output_dict["up3"] = self._up3.forward(output_dict["up2"]) output_dict["pad2d"] = self._pad2d.forward(output_dict["up3"]) output_dict["out_conv"] = self._out_conv.forward(output_dict["pad2d"]) return output_dict class DecoderUnet(nn.Layer): def __init__(self, name, encode_dim, out_channels, use_bias, norm_layer, act, act_attr, conv_block_dropout, conv_block_num, conv_block_dilation, out_conv_act, out_conv_act_attr): super(DecoderUnet, self).__init__() conv_blocks = [] for i in range(conv_block_num): conv_blocks.append( ResBlock( name="{}_conv_block_{}".format(name, i), channels=encode_dim * 8, norm_layer=norm_layer, use_dropout=conv_block_dropout, use_dilation=conv_block_dilation, use_bias=use_bias)) self._conv_blocks = nn.Sequential(*conv_blocks) self._up1 = SNConvTranspose( name=name + "_up1", in_channels=encode_dim * 8, out_channels=encode_dim * 4, kernel_size=3, stride=2, padding=1, output_padding=1, use_bias=use_bias, norm_layer=norm_layer, act=act, act_attr=act_attr) self._up2 = SNConvTranspose( name=name + "_up2", in_channels=encode_dim * 8, out_channels=encode_dim * 2, kernel_size=3, stride=2, padding=1, output_padding=1, use_bias=use_bias, norm_layer=norm_layer, act=act, act_attr=act_attr) self._up3 = SNConvTranspose( name=name + "_up3", in_channels=encode_dim * 4, out_channels=encode_dim, kernel_size=3, stride=2, padding=1, output_padding=1, use_bias=use_bias, norm_layer=norm_layer, act=act, act_attr=act_attr) self._pad2d = paddle.nn.Pad2D([1, 1, 1, 1], mode="replicate") self._out_conv = SNConv( name=name + "_out_conv", in_channels=encode_dim, out_channels=out_channels, kernel_size=3, use_bias=use_bias, norm_layer=None, act=out_conv_act, act_attr=out_conv_act_attr) def forward(self, x, y, feature2, feature1): output_dict = dict() output_dict["conv_blocks"] = self._conv_blocks( paddle.concat( (x, y), axis=1)) output_dict["up1"] = self._up1.forward(output_dict["conv_blocks"]) output_dict["up2"] = self._up2.forward( paddle.concat( (output_dict["up1"], feature2), axis=1)) output_dict["up3"] = self._up3.forward( paddle.concat( (output_dict["up2"], feature1), axis=1)) output_dict["pad2d"] = self._pad2d.forward(output_dict["up3"]) output_dict["out_conv"] = self._out_conv.forward(output_dict["pad2d"]) return output_dict class SingleDecoder(nn.Layer): def __init__(self, name, encode_dim, out_channels, use_bias, norm_layer, act, act_attr, conv_block_dropout, conv_block_num, conv_block_dilation, out_conv_act, out_conv_act_attr): super(SingleDecoder, self).__init__() conv_blocks = [] for i in range(conv_block_num): conv_blocks.append( ResBlock( name="{}_conv_block_{}".format(name, i), channels=encode_dim * 4, norm_layer=norm_layer, use_dropout=conv_block_dropout, use_dilation=conv_block_dilation, use_bias=use_bias)) self._conv_blocks = nn.Sequential(*conv_blocks) self._up1 = SNConvTranspose( name=name + "_up1", in_channels=encode_dim * 4, out_channels=encode_dim * 4, kernel_size=3, stride=2, padding=1, output_padding=1, use_bias=use_bias, norm_layer=norm_layer, act=act, act_attr=act_attr) self._up2 = SNConvTranspose( name=name + "_up2", in_channels=encode_dim * 8, out_channels=encode_dim * 2, kernel_size=3, stride=2, padding=1, output_padding=1, use_bias=use_bias, norm_layer=norm_layer, act=act, act_attr=act_attr) self._up3 = SNConvTranspose( name=name + "_up3", in_channels=encode_dim * 4, out_channels=encode_dim, kernel_size=3, stride=2, padding=1, output_padding=1, use_bias=use_bias, norm_layer=norm_layer, act=act, act_attr=act_attr) self._pad2d = paddle.nn.Pad2D([1, 1, 1, 1], mode="replicate") self._out_conv = SNConv( name=name + "_out_conv", in_channels=encode_dim, out_channels=out_channels, kernel_size=3, use_bias=use_bias, norm_layer=None, act=out_conv_act, act_attr=out_conv_act_attr) def forward(self, x, feature2, feature1): output_dict = dict() output_dict["conv_blocks"] = self._conv_blocks.forward(x) output_dict["up1"] = self._up1.forward(output_dict["conv_blocks"]) output_dict["up2"] = self._up2.forward( paddle.concat( (output_dict["up1"], feature2), axis=1)) output_dict["up3"] = self._up3.forward( paddle.concat( (output_dict["up2"], feature1), axis=1)) output_dict["pad2d"] = self._pad2d.forward(output_dict["up3"]) output_dict["out_conv"] = self._out_conv.forward(output_dict["pad2d"]) return output_dict

37.277778

78

0.561954

1,109

9,394

4.409378

0.121731

0.079755

0.083436

0.04908

0.856033

0.850511

0.850102

0

0.024378

0.340643

9,394

251

79

37.426295

0.765095

0.061848

0

0.899123

0

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0

1

0.026316

false

0

0.013158

0

0.065789

0

null

0

1

0

1

0

null

0

7

e9e6c35003716bbe87b3bb5ea9ebd0d206db8edd

15,241

py

Python

Lib/test/test_compiler/test_strict/test_definite_assignment.py

mananpal1997/cinder

a8804cc6e3a5861463ff959abcd09ad60a0763e5

[ "CNRI-Python-GPL-Compatible" ]

1,886

2021-05-03T23:58:43.000Z

2022-03-31T19:15:58.000Z

Lib/test/test_compiler/test_strict/test_definite_assignment.py

mananpal1997/cinder

a8804cc6e3a5861463ff959abcd09ad60a0763e5

[ "CNRI-Python-GPL-Compatible" ]

70

2021-05-04T23:25:35.000Z

2022-03-31T18:42:08.000Z

Lib/test/test_compiler/test_strict/test_definite_assignment.py

mananpal1997/cinder

a8804cc6e3a5861463ff959abcd09ad60a0763e5

[ "CNRI-Python-GPL-Compatible" ]

52

2021-05-04T21:26:03.000Z

2022-03-08T18:02:56.000Z

from __future__ import annotations from textwrap import dedent from typing import final, Optional, Sequence from _strictmodule import StrictAnalysisResult, StrictModuleLoader from .common import StrictTestBase @final class DefiniteAssignmentTests(StrictTestBase): def analyze( self, code: str, mod_name: str = "mod", import_path: Optional[Sequence[str]] = None, allow_list_prefix: Optional[Sequence[str]] = None, stub_root: str = "", ) -> StrictAnalysisResult: code = dedent(code) compiler = StrictModuleLoader( import_path or [], stub_root, allow_list_prefix or [], [], True ) module = compiler.check_source(code, f"{mod_name}.py", mod_name, []) return module def assertNoError( self, code: str, mod_name: str = "mod", import_path: Optional[Sequence[str]] = None, allow_list_prefix: Optional[Sequence[str]] = None, stub_root: str = "", ): m = self.analyze(code, mod_name, import_path, allow_list_prefix, stub_root) self.assertEqual(m.is_valid, True) self.assertEqual(m.errors, []) def assertError( self, code: str, err: str, mod_name: str = "mod", import_path: Optional[Sequence[str]] = None, allow_list_prefix: Optional[Sequence[str]] = None, stub_root: str = "", ): m = self.analyze(code, mod_name, import_path, allow_list_prefix, stub_root) self.assertEqual(m.is_valid, True) self.assertTrue(len(m.errors) > 0) self.assertTrue(err in m.errors[0][0]) def test_simple_not_assigned(self) -> None: test_exec = """ import __strict__ abc + 1 """ self.assertError(test_exec, "NameError") def test_simple_del_not_assigned(self) -> None: test_exec = """ import __strict__ del abc """ self.assertNoError(test_exec) def test_simple_assign_del_ok(self) -> None: test_exec = """ import __strict__ abc = 1 del abc """ self.assertNoError(test_exec) def test_simple_assign_double_del(self) -> None: test_exec = """ import __strict__ abc = 1 del abc del abc """ self.assertNoError(test_exec) def test_simple_if(self) -> None: test_exec = """ import __strict__ if False: abc = 1 abc + 1 """ self.assertError(test_exec, "NameError") def test_simple_if_del(self) -> None: test_exec = """ import __strict__ abc = 1 if True: del abc abc + 1 """ self.assertError(test_exec, "NameError") def test_simple_if_else(self) -> None: test_exec = """ import __strict__ if str: foo = 1 else: abc = 2 abc + 1 """ self.assertError(test_exec, "NameError") def test_simple_if_else_del(self) -> None: test_exec = """ import __strict__ abc = 1 if str: pass else: del abc abc + 1 """ self.assertNoError(test_exec) def test_simple_if_ok(self) -> None: test_exec = """ import __strict__ if str: abc = 1 else: abc = 2 abc """ self.assertNoError(test_exec) def test_func_dec(self) -> None: test_exec = """ import __strict__ @abc def f(x): pass """ self.assertError(test_exec, "NameError") def test_func_self_default(self) -> None: test_exec = """ import __strict__ def f(x = f()): pass """ self.assertError(test_exec, "NameError") def test_async_func_dec(self) -> None: test_exec = """ import __strict__ @abc async def f(x): pass """ self.assertError(test_exec, "NameError") def test_async_func_self_default(self) -> None: test_exec = """ import __strict__ async def f(x = f()): pass """ self.assertError(test_exec, "NameError") def test_while(self) -> None: test_exec = """ import __strict__ while False: abc = 1 abc + 1 """ self.assertError(test_exec, "NameError") def test_while_else(self) -> None: test_exec = """ import __strict__ while False: abc = 1 else: abc = 1 abc """ self.assertNoError(test_exec) def test_while_del(self) -> None: test_exec = """ import __strict__ abc = 1 while str: del abc break abc + 1 """ self.assertError(test_exec, "NameError") def test_while_else_del(self) -> None: test_exec = """ import __strict__ abc = 1 while False: pass else: del abc x = abc + 1 """ self.assertError(test_exec, "NameError") def test_while_del_else(self) -> None: test_exec = """ import __strict__ abc = 1 x = 1 while x > 0: del abc x = x - 1 else: abc + 1 """ self.assertError(test_exec, "NameError") def test_class_defined(self) -> None: test_exec = """ import __strict__ class C: pass C """ self.assertNoError(test_exec) def test_class_defined_with_func(self) -> None: test_exec = """ import __strict__ class C: def __init__(self): pass C """ self.assertNoError(test_exec) def test_class_scoping(self) -> None: test_exec = """ import __strict__ class C: abc = 42 x = abc + 1 """ self.assertError(test_exec, "NameError") def test_class_uninit_global_read(self) -> None: test_exec = """ import __strict__ class C: x = abc + 1 """ self.assertError(test_exec, "NameError") def test_class_uninit_class_read(self) -> None: test_exec = """ import __strict__ class C: if str: abc = 42 abc + 1 """ self.assertNoError(test_exec) def test_nested_class_uninit_read(self) -> None: test_exec = """ import __strict__ class C: abc = 42 class D: x = abc + 1 """ self.assertError(test_exec, "NameError") def test_class_undef_dec(self) -> None: test_exec = """ import __strict__ @abc class C: pass """ self.assertError(test_exec, "NameError") def test_uninit_aug_assign(self) -> None: test_exec = """ import __strict__ abc += 1 """ self.assertError(test_exec, "NameError") def test_aug_assign(self) -> None: test_exec = """ import __strict__ abc = 0 abc += 1 """ self.assertNoError(test_exec) def test_with_no_assign(self) -> None: test_exec = """ import __strict__ class A: def __enter__(self): pass def __exit__(self, exc_tp, exc, tb): pass with A(): abc = 1 abc + 1 """ self.assertNoError(test_exec) def test_with_var(self) -> None: test_exec = """ import __strict__ class A: def __enter__(self): pass def __exit__(self, exc_tp, exc, tb): pass with A() as abc: pass abc """ self.assertNoError(test_exec) def test_with_var_destructured(self) -> None: test_exec = """ import __strict__ class A: def __enter__(self): return 1, 3 def __exit__(self, exc_tp, exc, tb): pass with A() as (abc, foo): pass abc foo """ self.assertNoError(test_exec) def test_import(self) -> None: test_exec = """ import __strict__ import abc abc """ self.assertNoError(test_exec) def test_import_as(self) -> None: test_exec = """ import __strict__ import foo as abc abc """ self.assertNoError(test_exec) def test_import_from(self) -> None: test_exec = """ import __strict__ from foo import abc abc """ self.assertNoError(test_exec) def test_import_from_as(self) -> None: test_exec = """ import __strict__ from foo import bar as abc abc """ self.assertNoError(test_exec) def test_del_in_finally(self) -> None: test_exec = """ import __strict__ try: abc = 1 finally: del abc """ self.assertNoError(test_exec) def test_del_in_finally_2(self) -> None: test_exec = """ import __strict__ abc = 1 try: pass finally: del abc abc + 1 """ self.assertError(test_exec, "NameError") def test_finally_no_del(self) -> None: test_exec = """ import __strict__ try: abc = 1 finally: pass abc """ self.assertNoError(test_exec) def test_finally_not_defined(self) -> None: test_exec = """ import __strict__ try: abc = 1 finally: abc + 1 """ self.assertNoError(test_exec) def test_try_finally_deletes_apply(self) -> None: test_exec = """ import __strict__ abc = 1 try: del abc finally: pass abc + 1 """ self.assertError(test_exec, "NameError") def test_try_except_var_defined(self) -> None: test_exec = """ import __strict__ try: pass except Exception as abc: abc """ self.assertNoError(test_exec) def test_try_except_var_not_defined_after(self) -> None: test_exec = """ import __strict__ try: pass except Exception as abc: pass abc + 1 """ self.assertError(test_exec, "NameError") def test_try_except_no_try_define(self) -> None: test_exec = """ import __strict__ try: abc = 1 except Exception: pass abc + 1 """ self.assertNoError(test_exec) def test_try_except_no_except_define(self) -> None: test_exec = """ import __strict__ try: pass except Exception: abc = 1 abc + 1 """ self.assertError(test_exec, "NameError") def test_try_except_dels_assumed(self) -> None: test_exec = """ import __strict__ abc = 1 try: del abc except Exception: pass abc + 1 """ self.assertError(test_exec, "NameError") def test_try_except_dels_assumed_in_except(self) -> None: test_exec = """ import __strict__ abc = 1 try: del abc except Exception: abc + 1 """ self.assertNoError(test_exec) def test_try_except_except_dels_assumed(self) -> None: test_exec = """ import __strict__ abc = 1 try: pass except Exception: del abc abc + 1 """ self.assertNoError(test_exec) def test_try_except_finally(self) -> None: test_exec = """ import __strict__ try: pass except Exception: pass finally: abc = 1 abc """ self.assertNoError(test_exec) def test_try_except_finally_try_not_assumed(self) -> None: test_exec = """ import __strict__ try: abc = 1 except Exception: pass finally: abc + 1 """ self.assertNoError(test_exec) def test_try_except_finally_except_not_assumed(self) -> None: test_exec = """ import __strict__ try: pass except Exception: abc = 1 finally: abc + 1 """ self.assertError(test_exec, "NameError") def test_try_except_else_try_assumed(self) -> None: test_exec = """ import __strict__ try: abc = 1 except Exception: pass else: abc """ self.assertNoError(test_exec) def test_try_except_else_try_assumed_del(self) -> None: test_exec = """ import __strict__ try: abc = 1 except Exception: pass else: del abc """ self.assertNoError(test_exec) def test_try_except_else_except_not_assumed(self) -> None: test_exec = """ import __strict__ try: pass except Exception: abc = 1 else: x = abc + 1 """ self.assertError(test_exec, "NameError") def test_try_except_else_except_del_not_assumed(self) -> None: test_exec = """ import __strict__ abc = 1 try: pass except Exception: del abc else: x = abc + 1 """ self.assertNoError(test_exec) def test_try_except_else_assign_not_assumed_for_finally(self) -> None: test_exec = """ import __strict__ try: pass except Exception: pass else: abc = 1 finally: x = abc + 1 """ self.assertNoError(test_exec) def test_try_except_finally_del_assumed(self) -> None: test_exec = """ import __strict__ abc = 1 try: pass except Exception: del abc finally: x = abc + 1 """ self.assertNoError(test_exec) def test_lambda_not_assigned(self) -> None: test_exec = """ import __strict__ x = (lambda x=abc + 1: 42) """ self.assertError(test_exec, "NameError") def test_lambda_ok(self) -> None: test_exec = """ import __strict__ x = lambda x: abc """ self.assertNoError(test_exec) def test_list_comp(self) -> None: test_exec = """ import __strict__ foo = [1, 2, 3] bar = [x for x in foo] """ self.assertNoError(test_exec) def test_list_comp_undef(self) -> None: test_exec = """ import __strict__ bar = [x for x in abc] """ self.assertError(test_exec, "NameError") def test_list_comp_if(self) -> None: test_exec = """ import __strict__ foo = [1, 2, 3] bar = [x for x in foo if x] """ self.assertNoError(test_exec) def test_set_comp(self) -> None: test_exec = """ import __strict__ foo = [1, 2, 3] bar = {x for x in foo} """ self.assertNoError(test_exec) def test_set_comp_undef(self) -> None: test_exec = """ import __strict__ bar = {x for x in abc} """ self.assertError(test_exec, "NameError") def test_set_comp_undef_value(self) -> None: test_exec = """ import __strict__ foo = [1, 2, 3] bar = {(x, abc) for x in foo} """ self.assertError(test_exec, "NameError") def test_set_comp_if(self) -> None: test_exec = """ import __strict__ foo = [1, 2, 3] bar = {x for x in foo if x} """ self.assertNoError(test_exec) def test_gen_comp(self) -> None: test_exec = """ import __strict__ foo = [1, 2, 3] bar = (x for x in foo) """ self.assertNoError(test_exec) def test_gen_comp_undef(self) -> None: test_exec = """ import __strict__ bar = (x for x in abc) """ self.assertError(test_exec, "NameError") def test_gen_comp_undef_value(self) -> None: test_exec = """ import __strict__ foo = [1, 2, 3] bar = ((x, abc) for x in foo) """ self.assertError(test_exec, "NameError") def test_gen_comp_if(self) -> None: test_exec = """ import __strict__ foo = [1, 2, 3] bar = (x for x in foo if x) """ self.assertNoError(test_exec) def test_dict_comp(self) -> None: test_exec = """ import __strict__ foo = [1, 2, 3] bar = {x:x for x in foo} """ self.assertNoError(test_exec) def test_dict_comp_undef(self) -> None: test_exec = """ import __strict__ bar = {x:x for x in abc} """ self.assertError(test_exec, "NameError") def test_dict_comp_if(self) -> None: test_exec = """ import __strict__ foo = [1, 2, 3] bar = {x:x for x in foo if x} """ self.assertNoError(test_exec) def test_self_assign(self) -> None: test_exec = """ import __strict__ abc = abc + 1 """ self.assertError(test_exec, "NameError") def test_ann_assign_not_defined(self) -> None: test_exec = """ import __strict__ abc: int abc + 1 """ self.assertError(test_exec, "NameError") def test_expected_globals_name(self) -> None: test_exec = """ import __strict__ x = __name__ """ self.assertNoError(test_exec) def test_raise_unreachable(self) -> None: test_exec = """ import __strict__ x = 0 if x: raise Exception abc = 2 else: abc = 1 abc + 1 """ self.assertNoError(test_exec)

19.122961

83

0.619513

1,995

15,241

4.341353

0.063158

0.138552

0.103914

0.138552

0.887311

0.882346

0.876342

0.840781

0.765731

0.676019

0

0.010809

0.265534

15,241

796

84

19.146985

0.762909

0

0.793696

0

0.331606

0

0.117479

1

0.111748

false

0.053009

0.13467

0

0.250716

0

null

0

1

0

1

0

null

0

1

0

8

e9f50c86513f441ec8f7d4958e292f7ca21eb385

225

py

Python

iris_sdk/models/data/callback_subscription.py

NumberAI/python-bandwidth-iris

0e05f79d68b244812afb97e00fd65b3f46d00aa3

[ "MIT" ]

2

2020-04-13T13:47:59.000Z

2022-02-23T20:32:41.000Z

iris_sdk/models/data/callback_subscription.py

bandwidthcom/python-bandwidth-iris

dbcb30569631395041b92917252d913166f7d3c9

[ "MIT" ]

5

2020-09-18T20:59:24.000Z

2021-08-25T16:51:42.000Z

iris_sdk/models/data/callback_subscription.py

bandwidthcom/python-bandwidth-iris

dbcb30569631395041b92917252d913166f7d3c9

[ "MIT" ]

5

2018-12-12T14:39:50.000Z

2020-11-17T21:42:29.000Z

#!/usr/bin/env python from iris_sdk.models.base_resource import BaseData from iris_sdk.models.maps.callback_subscription import CallbackSubscriptionMap class CallbackSubscription(CallbackSubscriptionMap, BaseData): pass

32.142857

78

0.853333

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7.230769

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0.085106

0.117021

0.180851

0

0.084444

225

7

79

32.142857

0.912621

0.088889

0

1

0

true

0.25

0.5

0

0.75

0

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null

0

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1

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null

0

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180e0e736f98e69f47156de36238071d4b3fe263

27,290

py

Python

tests/test_eumetsat.py

lweydemann/ascat

9c986ba40694a13356c44f403c66d73ccaab83bf

[ "MIT" ]

null

tests/test_eumetsat.py

lweydemann/ascat

9c986ba40694a13356c44f403c66d73ccaab83bf

[ "MIT" ]

null

tests/test_eumetsat.py

lweydemann/ascat

9c986ba40694a13356c44f403c66d73ccaab83bf

[ "MIT" ]

null

# Copyright (c) 2020, TU Wien, Department of Geodesy and Geoinformation # All rights reserved. # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # * Redistributions of source code must retain the above copyright notice, # this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # * Neither the name of TU Wien, Department of Geodesy and Geoinformation # nor the names of its contributors may be used to endorse or promote # products derived from this software without specific prior written # permission. # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL TU WIEN DEPARTMENT OF GEODESY AND # GEOINFORMATION BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; # OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, # WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR # OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF # ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. """ Test data downloaded from EUMETSAT UMARF """ import unittest import datetime import numpy as np import numpy.testing as nptest import os import sys import pytest from ascat.eumetsat import AscatL2Ssm125 from ascat.eumetsat import AscatL2Ssm125PDU from ascat.eumetsat import AscatL2Ssm250 from ascat.eumetsat import AscatL2Ssm250PDU from ascat.eumetsat import AscatL2Ssm125Nc from ascat.eumetsat import AscatL2Ssm250Nc @pytest.mark.skipif(sys.platform == 'win32', reason="Does not work on Windows") class Test_ASCAT_A_L2_SSM_125_BUFR(unittest.TestCase): def setUp(self): data_path = os.path.join(os.path.dirname(__file__), 'ascat_test_data', 'eumetsat', 'ASCAT_L2_SM_125', 'bufr') self.reader_A = AscatL2Ssm125(data_path, 'Metop_A') self.reader_B = AscatL2Ssm125(data_path, 'Metop_B') def tearDown(self): self.reader_A = None self.reader_B = None def test_offset_getting(self): """ test getting the image offsets for a known day """ timestamps = self.reader_A.tstamps_for_daterange( datetime.datetime(2017, 2, 20), datetime.datetime(2017, 2, 21)) timestamps_should = [datetime.datetime(2017, 2, 20, 4, 15), datetime.datetime(2017, 2, 20, 5, 57)] assert sorted(timestamps) == sorted(timestamps_should) timestamps = self.reader_B.tstamps_for_daterange( datetime.datetime(2017, 2, 20), datetime.datetime(2017, 2, 21)) timestamps_should = [datetime.datetime(2017, 2, 20, 5, 9)] assert sorted(timestamps) == sorted(timestamps_should) def test_image_reading(self): data, meta, timestamp, lons, lats, time_var = self.reader_A.read( datetime.datetime(2017, 2, 20, 4, 15)) ssm_should = np.array([3., 0., 0., 0., 0., 0., 0., 0., 0., 1.8, 3.3, 4.8, 4.3, 2.5, 0., 3.8, 5.8, 1.5, 2.4, 4.1, 2.3, 2.7, 5.6, 5.5, 4.9]) lats_should = np.array([62.60224, 62.67133, 62.74015, 62.80871, 62.877, 62.94502, 63.01276, 63.08024, 63.14743, 63.21435, 63.28098, 63.34734, 63.41341, 63.47919, 63.54468, 63.60988, 63.67479, 63.7394, 63.80372, 63.86773, 63.93144, 63.99485, 64.05795, 64.12075, 64.18323]) ssm_mean_should = np.array([21.3, 21.3, 21.4, 22.4, 23.4, 24.5, 26., 27.1, 27., 26.6, 27.1, 27.6, 27.4, 26.7, 26.5, 27.5, 28.2, 28.4, 28.8, 29.2, 30., 31., 31.3, 31.9, 32.1]) nptest.assert_allclose(lats[:25], lats_should, atol=1e-5) nptest.assert_allclose(data['Surface Soil Moisture (Ms)'][ :25], ssm_should, atol=0.01) nptest.assert_allclose(data['Mean Surface Soil Moisture'][:25], ssm_mean_should, atol=0.01) data, meta, timestamp, lons, lats, time_var = self.reader_B.read( datetime.datetime(2017, 2, 20, 5, 9)) ssm_should = np.array([29.2, 30.2, 35.7, 38.6, 37.5, 37.6, 40.5, 44.5, 40.7, 39.7, 41.5, 38.8, 34.5, 36.8, 39.4, 41.2, 42.4, 42.9, 39.3, 30.5, 26.7, 26.5, 26.7, 23.9, 26.2]) lats_should = np.array([64.74398, 64.81854, 64.89284, 64.96688, 65.04066, 65.11416, 65.18739, 65.26036, 65.33304, 65.40545, 65.47758, 65.54942, 65.62099, 65.69226, 65.76324, 65.83393, 65.90432, 65.97442, 66.04422, 66.11371, 66.1829, 66.25177, 66.32034, 66.38859, 66.45653]) ssm_mean_should = np.array([36.7, 35.4, 33.4, 32.5, 32.5, 32., 31.2, 29.4, 28.7, 27.6, 25.8, 25.4, 25.5, 25.3, 24.4, 23.4, 22.3, 21.3, 20.4, 20.4, 19.9, 19.7, 20.3, 21.5, 22.9]) nptest.assert_allclose(lats[:25], lats_should, atol=1e-5) nptest.assert_allclose(data['Surface Soil Moisture (Ms)'][ :25], ssm_should, atol=0.01) nptest.assert_allclose(data['Mean Surface Soil Moisture'][:25], ssm_mean_should, atol=0.01) @pytest.mark.skipif(sys.platform == 'win32', reason="Does not work on Windows") class Test_ASCAT_L2_SSM_125_BUFR_PDU(unittest.TestCase): def setUp(self): data_path = os.path.join(os.path.dirname(__file__), 'ascat_test_data', 'eumetsat', 'ASCAT_L2_SM_125', 'PDU') self.reader_A = AscatL2Ssm125PDU(data_path, 'Metop_A') self.reader_B = AscatL2Ssm125PDU(data_path, 'Metop_B') def tearDown(self): self.reader_A = None self.reader_B = None def test_offset_getting(self): """ test getting the image offsets for a known day """ timestamps = self.reader_A.tstamps_for_daterange( datetime.datetime(2017, 2, 20), datetime.datetime(2017, 2, 21)) timestamps_should = [datetime.datetime(2017, 2, 20, 4, 15), datetime.datetime(2017, 2, 20, 4, 18), datetime.datetime(2017, 2, 20, 4, 21)] assert sorted(timestamps) == sorted(timestamps_should) timestamps = self.reader_B.tstamps_for_daterange( datetime.datetime(2017, 2, 20), datetime.datetime(2017, 2, 21)) timestamps_should = [datetime.datetime(2017, 2, 20, 5, 9), datetime.datetime(2017, 2, 20, 5, 12), datetime.datetime(2017, 2, 20, 5, 15)] assert sorted(timestamps) == sorted(timestamps_should) def test_image_reading(self): data, meta, timestamp, lons, lats, time_var = self.reader_A.read( datetime.datetime(2017, 2, 20, 4, 15)) ssm_should = np.array([3., 0., 0., 0., 0., 0., 0., 0., 0., 1.8, 3.3, 4.8, 4.3, 2.5, 0., 3.8, 5.8, 1.5, 2.4, 4.1, 2.3, 2.7, 5.6, 5.5, 4.9]) lats_should = np.array([62.60224, 62.67133, 62.74015, 62.80871, 62.877, 62.94502, 63.01276, 63.08024, 63.14743, 63.21435, 63.28098, 63.34734, 63.41341, 63.47919, 63.54468, 63.60988, 63.67479, 63.7394, 63.80372, 63.86773, 63.93144, 63.99485, 64.05795, 64.12075, 64.18323]) ssm_mean_should = np.array([21.3, 21.3, 21.4, 22.4, 23.4, 24.5, 26., 27.1, 27., 26.6, 27.1, 27.6, 27.4, 26.7, 26.5, 27.5, 28.2, 28.4, 28.8, 29.2, 30., 31., 31.3, 31.9, 32.1]) nptest.assert_allclose(lats[:25], lats_should, atol=1e-5) nptest.assert_allclose(data['Surface Soil Moisture (Ms)'][ :25], ssm_should, atol=0.01) nptest.assert_allclose(data['Mean Surface Soil Moisture'][:25], ssm_mean_should, atol=0.01) data, meta, timestamp, lons, lats, time_var = self.reader_B.read( datetime.datetime(2017, 2, 20, 5, 9)) ssm_should = np.array([29.2, 30.2, 35.7, 38.6, 37.5, 37.6, 40.5, 44.5, 40.7, 39.7, 41.5, 38.8, 34.5, 36.8, 39.4, 41.2, 42.4, 42.9, 39.3, 30.5, 26.7, 26.5, 26.7, 23.9, 26.2]) lats_should = np.array([64.74398, 64.81854, 64.89284, 64.96688, 65.04066, 65.11416, 65.18739, 65.26036, 65.33304, 65.40545, 65.47758, 65.54942, 65.62099, 65.69226, 65.76324, 65.83393, 65.90432, 65.97442, 66.04422, 66.11371, 66.1829, 66.25177, 66.32034, 66.38859, 66.45653]) ssm_mean_should = np.array([36.7, 35.4, 33.4, 32.5, 32.5, 32., 31.2, 29.4, 28.7, 27.6, 25.8, 25.4, 25.5, 25.3, 24.4, 23.4, 22.3, 21.3, 20.4, 20.4, 19.9, 19.7, 20.3, 21.5, 22.9]) nptest.assert_allclose(lats[:25], lats_should, atol=1e-5) nptest.assert_allclose(data['Surface Soil Moisture (Ms)'][ :25], ssm_should, atol=0.01) nptest.assert_allclose(data['Mean Surface Soil Moisture'][:25], ssm_mean_should, atol=0.01) @pytest.mark.skipif(sys.platform == 'win32', reason="Does not work on Windows") class Test_ASCAT_L2_SSM_250_BUFR(unittest.TestCase): def setUp(self): data_path = os.path.join(os.path.dirname(__file__), 'ascat_test_data', 'eumetsat', 'ASCAT_L2_SM_250', 'bufr') self.reader_A = AscatL2Ssm250(data_path, 'Metop_A') self.reader_B = AscatL2Ssm250(data_path, 'Metop_B') def tearDown(self): self.reader_A = None self.reader_B = None def test_offset_getting(self): """ test getting the image offsets for a known day """ timestamps = self.reader_A.tstamps_for_daterange( datetime.datetime(2017, 2, 20), datetime.datetime(2017, 2, 21)) timestamps_should = [datetime.datetime(2017, 2, 20, 4, 15), datetime.datetime(2017, 2, 20, 5, 57)] assert sorted(timestamps) == sorted(timestamps_should) timestamps = self.reader_B.tstamps_for_daterange( datetime.datetime(2017, 2, 20), datetime.datetime(2017, 2, 21)) timestamps_should = [datetime.datetime(2017, 2, 20, 5, 9)] assert sorted(timestamps) == sorted(timestamps_should) def test_image_reading(self): data, meta, timestamp, lons, lats, time_var = self.reader_A.read( datetime.datetime(2017, 2, 20, 4, 15)) ssm_should = np.array([1.8, 0., 0., 0., 0., 4.6, 2.8, 4., 4.1, 4.2, 4.7, 5.4, 7.1, 7.1, 8.2, 9.2, 14.5, 15.4, 14.3, 17.7, 25.5, 36.9, 37.8, 39.4, 24.1]) lats_should = np.array([62.60224, 62.74015, 62.877, 63.01276, 63.14743, 63.28098, 63.41341, 63.54468, 63.67479, 63.80372, 63.93144, 64.05795, 64.18323, 64.30725, 64.42999, 64.55145, 64.6716, 64.79042, 64.9079, 65.02401, 65.13873, 67.85438, 67.91597, 67.97556, 68.03314]) ssm_mean_should = np.array([21.3, 21.4, 23.4, 26., 27., 27.1, 27.4, 26.5, 28.2, 28.8, 30., 31.3, 32.1, 30.6, 27.8, 28.9, 29.5, 32.1, 33.8, 32.9, 28.9, 41.1, 40.8, 34.4, 31.]) nptest.assert_allclose(lats[:25], lats_should, atol=1e-5) nptest.assert_allclose(data['Surface Soil Moisture (Ms)'][ :25], ssm_should, atol=0.01) nptest.assert_allclose(data['Mean Surface Soil Moisture'][:25], ssm_mean_should, atol=0.01) data, meta, timestamp, lons, lats, time_var = self.reader_B.read( datetime.datetime(2017, 2, 20, 5, 9)) ssm_should = np.array([28.8, 31., 35.8, 38.7, 39.3, 38.9, 39.6, 40.7, 40.9, 35.5, 28.7, 25.2, 25.8, 27.2, 26.3, 29.1, 30., 27.1, 25.5, 23.9, 25.7, 44.9, 38.7, 36.7, 40.6]) lats_should = np.array([64.74398, 64.89284, 65.04066, 65.18739, 65.33304, 65.47758, 65.62099, 65.76324, 65.90432, 66.04422, 66.1829, 66.32034, 66.45653, 66.59144, 66.72505, 66.85734, 66.98829, 67.11787, 67.24605, 67.37283, 67.49816, 70.48423, 70.55154, 70.61658, 70.67934]) ssm_mean_should = np.array([36.7, 33.4, 32.5, 31.2, 28.7, 25.8, 25.5, 24.4, 22.3, 20.4, 19.9, 20.3, 22.9, 23.7, 23.5, 22.2, 22.2, 22.4, 25.3, 27.8, 27.7, 30.7, 30.7, 31.6, 33.6]) nptest.assert_allclose(lats[:25], lats_should, atol=1e-5) nptest.assert_allclose(data['Surface Soil Moisture (Ms)'][ :25], ssm_should, atol=0.01) nptest.assert_allclose(data['Mean Surface Soil Moisture'][:25], ssm_mean_should, atol=0.01) pytest.mark.skipif(sys.platform == 'win32', reason="Does not work on Windows") class Test_ASCAT_L2_SSM_250_BUFR_PDU(unittest.TestCase): def setUp(self): data_path = os.path.join(os.path.dirname(__file__), 'ascat_test_data', 'eumetsat', 'ASCAT_L2_SM_250', 'PDU') self.reader_A = AscatL2Ssm250PDU(data_path, 'Metop_A') self.reader_B = AscatL2Ssm250PDU(data_path, 'Metop_B') def tearDown(self): self.reader_A = None self.reader_B = None def test_offset_getting(self): """ test getting the image offsets for a known day """ timestamps = self.reader_A.tstamps_for_daterange( datetime.datetime(2017, 2, 20), datetime.datetime(2017, 2, 21)) timestamps_should = [datetime.datetime(2017, 2, 20, 4, 15), datetime.datetime(2017, 2, 20, 4, 18), datetime.datetime(2017, 2, 20, 4, 21)] assert sorted(timestamps) == sorted(timestamps_should) def test_image_reading(self): data, meta, timestamp, lons, lats, time_var = self.reader_A.read( datetime.datetime(2017, 2, 20, 4, 15)) ssm_should = np.array([1.8, 0., 0., 0., 0., 4.6, 2.8, 4., 4.1, 4.2, 4.7, 5.4, 7.1, 7.1, 8.2, 9.2, 14.5, 15.4, 14.3, 17.7, 25.5, 36.9, 37.8, 39.4, 24.1]) lats_should = np.array([62.60224, 62.74015, 62.877, 63.01276, 63.14743, 63.28098, 63.41341, 63.54468, 63.67479, 63.80372, 63.93144, 64.05795, 64.18323, 64.30725, 64.42999, 64.55145, 64.6716, 64.79042, 64.9079, 65.02401, 65.13873, 67.85438, 67.91597, 67.97556, 68.03314]) ssm_mean_should = np.array([21.3, 21.4, 23.4, 26., 27., 27.1, 27.4, 26.5, 28.2, 28.8, 30., 31.3, 32.1, 30.6, 27.8, 28.9, 29.5, 32.1, 33.8, 32.9, 28.9, 41.1, 40.8, 34.4, 31.]) nptest.assert_allclose(lats[:25], lats_should, atol=1e-5) nptest.assert_allclose(data['Surface Soil Moisture (Ms)'][ :25], ssm_should, atol=0.01) nptest.assert_allclose(data['Mean Surface Soil Moisture'][:25], ssm_mean_should, atol=0.01) data, meta, timestamp, lons, lats, time_var = self.reader_B.read( datetime.datetime(2017, 2, 20, 5, 9)) ssm_should = np.array([28.8, 31., 35.8, 38.7, 39.3, 38.9, 39.6, 40.7, 40.9, 35.5, 28.7, 25.2, 25.8, 27.2, 26.3, 29.1, 30., 27.1, 25.5, 23.9, 25.7, 44.9, 38.7, 36.7, 40.6]) lats_should = np.array([64.74398, 64.89284, 65.04066, 65.18739, 65.33304, 65.47758, 65.62099, 65.76324, 65.90432, 66.04422, 66.1829, 66.32034, 66.45653, 66.59144, 66.72505, 66.85734, 66.98829, 67.11787, 67.24605, 67.37283, 67.49816, 70.48423, 70.55154, 70.61658, 70.67934]) ssm_mean_should = np.array([36.7, 33.4, 32.5, 31.2, 28.7, 25.8, 25.5, 24.4, 22.3, 20.4, 19.9, 20.3, 22.9, 23.7, 23.5, 22.2, 22.2, 22.4, 25.3, 27.8, 27.7, 30.7, 30.7, 31.6, 33.6]) nptest.assert_allclose(lats[:25], lats_should, atol=1e-5) nptest.assert_allclose(data['Surface Soil Moisture (Ms)'][ :25], ssm_should, atol=0.01) nptest.assert_allclose(data['Mean Surface Soil Moisture'][:25], ssm_mean_should, atol=0.01) class Test_ASCAT_L2_SSM_125_NC(unittest.TestCase): def setUp(self): data_path = os.path.join(os.path.dirname(__file__), 'ascat_test_data', 'eumetsat', 'ASCAT_L2_SM_125', 'nc') self.reader_A = AscatL2Ssm125Nc(data_path, 'Metop_A') self.reader_B = AscatL2Ssm125Nc(data_path, 'Metop_B') def tearDown(self): self.reader_A = None self.reader_B = None def test_offset_getting(self): """ test getting the image offsets for a known day """ timestamps = self.reader_A.tstamps_for_daterange( datetime.datetime(2017, 2, 20), datetime.datetime(2017, 2, 21)) timestamps_should = [datetime.datetime(2017, 2, 20, 4, 15), datetime.datetime(2017, 2, 20, 5, 57)] assert sorted(timestamps) == sorted(timestamps_should) timestamps = self.reader_B.tstamps_for_daterange( datetime.datetime(2017, 2, 20), datetime.datetime(2017, 2, 21)) timestamps_should = [datetime.datetime(2017, 2, 20, 5, 9)] assert sorted(timestamps) == sorted(timestamps_should) def test_image_reading(self): data, meta, timestamp, lons, lats, time_var = self.reader_A.read( datetime.datetime(2017, 2, 20, 4, 15)) ssm_should = np.array([3., 0., 0., 0., 0., 0., 0., 0., 0., 1.8, 3.3, 4.8, 4.3, 2.5, 0., 3.8, 5.8, 1.5, 2.4, 4.1, 2.3, 2.7, 5.6, 5.5, 4.9]) lats_should = np.array([62.60224, 62.67133, 62.74015, 62.80871, 62.877, 62.94502, 63.01276, 63.08024, 63.14743, 63.21435, 63.28098, 63.34734, 63.41341, 63.47919, 63.54468, 63.60988, 63.67479, 63.7394, 63.80372, 63.86773, 63.93144, 63.99485, 64.05795, 64.12075, 64.18323]) ssm_mean_should = np.array([21.3, 21.3, 21.4, 22.4, 23.4, 24.5, 26., 27.1, 27., 26.6, 27.1, 27.6, 27.4, 26.7, 26.5, 27.5, 28.2, 28.4, 28.8, 29.2, 30., 31., 31.3, 31.9, 32.1]) nptest.assert_allclose(lats[:25], lats_should, atol=1e-5) nptest.assert_allclose(data['soil_moisture'][ :25], ssm_should, atol=0.1) nptest.assert_allclose(data['mean_soil_moisture'][:25], ssm_mean_should, atol=0.1) data, meta, timestamp, lons, lats, time_var = self.reader_B.read( datetime.datetime(2017, 2, 20, 5, 9)) ssm_should = np.array([29.2, 30.2, 35.7, 38.6, 37.5, 37.6, 40.5, 44.5, 40.7, 39.7, 41.5, 38.8, 34.5, 36.8, 39.4, 41.2, 42.4, 42.9, 39.3, 30.5, 26.7, 26.5, 26.7, 23.9, 26.2]) lats_should = np.array([64.74398, 64.81854, 64.89284, 64.96688, 65.04066, 65.11416, 65.18739, 65.26036, 65.33304, 65.40545, 65.47758, 65.54942, 65.62099, 65.69226, 65.76324, 65.83393, 65.90432, 65.97442, 66.04422, 66.11371, 66.1829, 66.25177, 66.32034, 66.38859, 66.45653]) ssm_mean_should = np.array([36.7, 35.4, 33.4, 32.5, 32.5, 32., 31.2, 29.4, 28.7, 27.6, 25.8, 25.4, 25.5, 25.3, 24.4, 23.4, 22.3, 21.3, 20.4, 20.4, 19.9, 19.7, 20.3, 21.5, 22.9]) nptest.assert_allclose(lats[:25], lats_should, atol=1e-5) nptest.assert_allclose(data['soil_moisture'][ :25], ssm_should, atol=0.1) nptest.assert_allclose(data['mean_soil_moisture'][:25], ssm_mean_should, atol=0.1) class Test_ASCAT_L2_SSM_250_NC(unittest.TestCase): def setUp(self): data_path = os.path.join(os.path.dirname(__file__), 'ascat_test_data', 'eumetsat', 'ASCAT_L2_SM_250', 'nc') self.reader_A = AscatL2Ssm250Nc(data_path, 'Metop_A') self.reader_B = AscatL2Ssm250Nc(data_path, 'Metop_B') def tearDown(self): self.reader_A = None self.reader_B = None def test_offset_getting(self): """ test getting the image offsets for a known day """ timestamps = self.reader_A.tstamps_for_daterange( datetime.datetime(2017, 2, 20), datetime.datetime(2017, 2, 21)) timestamps_should = [datetime.datetime(2017, 2, 20, 4, 15), datetime.datetime(2017, 2, 20, 5, 57)] assert sorted(timestamps) == sorted(timestamps_should) timestamps = self.reader_B.tstamps_for_daterange( datetime.datetime(2017, 2, 20), datetime.datetime(2017, 2, 21)) timestamps_should = [datetime.datetime(2017, 2, 20, 5, 9)] assert sorted(timestamps) == sorted(timestamps_should) def test_image_reading(self): data, meta, timestamp, lons, lats, time_var = self.reader_A.read( datetime.datetime(2017, 2, 20, 4, 15)) ssm_should = np.array([1.8, 0., 0., 0., 0., 4.6, 2.8, 4., 4.1, 4.2, 4.7, 5.4, 7.1, 7.1, 8.2, 9.2, 14.5, 15.4, 14.3, 17.7, 25.5, 36.9, 37.8, 39.4, 24.1]) lats_should = np.array([62.60224, 62.74015, 62.877, 63.01276, 63.14743, 63.28098, 63.41341, 63.54468, 63.67479, 63.80372, 63.93144, 64.05795, 64.18323, 64.30725, 64.42999, 64.55145, 64.6716, 64.79042, 64.9079, 65.02401, 65.13873, 67.85438, 67.91597, 67.97556, 68.03314]) ssm_mean_should = np.array([21.3, 21.4, 23.4, 26., 27., 27.1, 27.4, 26.5, 28.2, 28.8, 30., 31.3, 32.1, 30.6, 27.8, 28.9, 29.5, 32.1, 33.8, 32.9, 28.9, 41.1, 40.8, 34.4, 31.]) nptest.assert_allclose(lats[:25], lats_should, atol=1e-5) nptest.assert_allclose(data['soil_moisture'][ :25], ssm_should, atol=0.1) nptest.assert_allclose(data['mean_soil_moisture'][:25], ssm_mean_should, atol=0.1) data, meta, timestamp, lons, lats, time_var = self.reader_B.read( datetime.datetime(2017, 2, 20, 5, 9)) ssm_should = np.array([28.8, 31., 35.8, 38.7, 39.3, 38.9, 39.6, 40.7, 40.9, 35.5, 28.7, 25.2, 25.8, 27.2, 26.3, 29.1, 30., 27.1, 25.5, 23.9, 25.7, 44.9, 38.7, 36.7, 40.6]) lats_should = np.array([64.74398, 64.89284, 65.04066, 65.18739, 65.33304, 65.47758, 65.62099, 65.76324, 65.90432, 66.04422, 66.1829, 66.32034, 66.45653, 66.59144, 66.72505, 66.85734, 66.98829, 67.11787, 67.24605, 67.37283, 67.49816, 70.48423, 70.55154, 70.61658, 70.67934]) ssm_mean_should = np.array([36.7, 33.4, 32.5, 31.2, 28.7, 25.8, 25.5, 24.4, 22.3, 20.4, 19.9, 20.3, 22.9, 23.7, 23.5, 22.2, 22.2, 22.4, 25.3, 27.8, 27.7, 30.7, 30.7, 31.6, 33.6]) nptest.assert_allclose(lats[:25], lats_should, atol=1e-5) nptest.assert_allclose(data['soil_moisture'][ :25], ssm_should, atol=0.1) nptest.assert_allclose(data['mean_soil_moisture'][:25], ssm_mean_should, atol=0.1) if __name__ == '__main__': unittest.main()

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1

0

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null

0

8

1817a214929049087140382732ec2d9deeb07079

4,160

py

Python

dn/models.py

skyydq/GreaterWMS

e14014a73b36ec0f0df03712a229b0931cb388fb

[ "Apache-2.0" ]

2

2021-11-09T10:29:44.000Z

2021-11-15T08:03:40.000Z

dn/models.py

ashrafali46/GreaterWMS

1aed14a8c26c8ac4571db5e6b07ab7e4fa3c7c72

[ "Apache-2.0" ]

null

dn/models.py

ashrafali46/GreaterWMS

1aed14a8c26c8ac4571db5e6b07ab7e4fa3c7c72

[ "Apache-2.0" ]

null

from django.db import models class DnListModel(models.Model): dn_code = models.CharField(max_length=255, verbose_name="DN Code") dn_status = models.BigIntegerField(default=1, verbose_name="DN Status") total_weight = models.FloatField(default=0, verbose_name="Total Weight") total_volume = models.FloatField(default=0, verbose_name="Total Volume") customer = models.CharField(max_length=255, verbose_name="DN Customer") creater = models.CharField(max_length=255, verbose_name="Who Created") back_order_label = models.BooleanField(default=False, verbose_name='Back Order Label') openid = models.CharField(max_length=255, verbose_name="Openid") transportation_fee = models.JSONField(default=dict, verbose_name="Transportation Fee") is_delete = models.BooleanField(default=False, verbose_name='Delete Label') create_time = models.DateTimeField(auto_now_add=True, verbose_name="Create Time") update_time = models.DateTimeField(auto_now=True, blank=True, null=True, verbose_name="Update Time") class Meta: db_table = 'dnlist' verbose_name = 'data id' verbose_name_plural = "data id" ordering = ['-id'] def __str__(self): return self.pk class DnDetailModel(models.Model): dn_code = models.CharField(max_length=255, verbose_name="DN Code") dn_status = models.BigIntegerField(default=1, verbose_name="DN Status") customer = models.CharField(max_length=255, verbose_name="DN Customer") goods_code = models.CharField(max_length=255, verbose_name="Goods Code") goods_qty = models.BigIntegerField(default=0, verbose_name="Goods QTY") pick_qty = models.BigIntegerField(default=0, verbose_name="Goods Pre Pick QTY") picked_qty = models.BigIntegerField(default=0, verbose_name="Goods Picked QTY") intransit_qty = models.BigIntegerField(default=0, verbose_name="Intransit QTY") delivery_actual_qty = models.BigIntegerField(default=0, verbose_name="Delivery Actual QTY") delivery_shortage_qty = models.BigIntegerField(default=0, verbose_name="Delivery Shortage QTY") delivery_more_qty = models.BigIntegerField(default=0, verbose_name="Delivery More QTY") delivery_damage_qty = models.BigIntegerField(default=0, verbose_name="Delivery More QTY") goods_weight = models.FloatField(default=0, verbose_name="Goods Weight") goods_volume = models.FloatField(default=0, verbose_name="Goods Volume") creater = models.CharField(max_length=11, verbose_name="Who Created") back_order_label = models.BooleanField(default=False, verbose_name='Back Order Label') openid = models.CharField(max_length=255, verbose_name="Openid") is_delete = models.BooleanField(default=False, verbose_name='Delete Label') create_time = models.DateTimeField(auto_now_add=True, verbose_name="Create Time") update_time = models.DateTimeField(auto_now=True, blank=True, null=True, verbose_name="Update Time") class Meta: db_table = 'dndetail' verbose_name = 'data id' verbose_name_plural = "data id" ordering = ['-id'] def __str__(self): return self.pk class PickingListModel(models.Model): dn_code = models.CharField(max_length=255, verbose_name="DN Code") bin_name = models.CharField(max_length=255, verbose_name="Bin Name") goods_code = models.CharField(max_length=255, verbose_name="Goods Code") pick_qty = models.BigIntegerField(default=0, verbose_name="Goods Pre Pick QTY") picked_qty = models.BigIntegerField(default=0, verbose_name="Picked QTY") creater = models.CharField(max_length=11, verbose_name="Who Created") t_code = models.CharField(max_length=255, verbose_name="Transaction Code") openid = models.CharField(max_length=255, verbose_name="Openid") create_time = models.DateTimeField(auto_now_add=True, verbose_name="Create Time") update_time = models.DateTimeField(auto_now=True, blank=True, null=True, verbose_name="Update Time") class Meta: db_table = 'pickinglist' verbose_name = 'data id' verbose_name_plural = "data id" ordering = ['-id'] def __str__(self): return self.pk

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18243e36888a01556892c699aef7038d5fbbb007

7,907

py

Python

3rd_party_software/pyca/Code/Python/Numpy/FiniteDiff.py

ninamiolane/quicksilver

1baf251360dadea0afa3daaa09942d9d2d7c71fb

[ "Apache-2.0" ]

126

2017-04-06T03:19:03.000Z

2022-03-08T07:44:09.000Z

3rd_party_software/pyca/Code/Python/Numpy/FiniteDiff.py

ninamiolane/quicksilver

1baf251360dadea0afa3daaa09942d9d2d7c71fb

[ "Apache-2.0" ]

7

2017-09-22T01:46:04.000Z

2021-04-29T07:22:44.000Z

3rd_party_software/pyca/Code/Python/Numpy/FiniteDiff.py

ninamiolane/quicksilver

1baf251360dadea0afa3daaa09942d9d2d7c71fb

[ "Apache-2.0" ]

37

2017-04-03T17:14:44.000Z

2022-03-09T16:00:03.000Z

""" Finite differences implemented in numpy. Meant as reference implementation to test PyCA functions against, not as optimized implementations. """ import numpy as np from PyCA.Core import Vec3Df # need constants from PyCA from PyCA.Core import DIM_X, DIM_Y, DIM_Z from PyCA.Core import DIFF_FORWARD, DIFF_BACKWARD, DIFF_CENTRAL from PyCA.Core import BC_APPROX, BC_CLAMP, BC_WRAP # # Numpy finite difference implementation to test against # def FiniteDiff(arr, dim, diffType, bc, sp=Vec3Df(1.0, 1.0, 1.0)): diff = np.zeros(arr.shape) if dim == DIM_X: if diffType == DIFF_FORWARD: diff[:-1,:] = (arr[1:,:]-arr[:-1,:])/sp.x if bc == BC_APPROX: pass elif bc == BC_CLAMP: pass elif bc == BC_WRAP: diff[-1,:] = (arr[0,:]-arr[-1,:])/sp.x else: raise Exception('Unknwn boundary condition') elif diffType == DIFF_BACKWARD: diff[1:,:] = (arr[1:,:]-arr[:-1,:])/sp.x if bc == BC_APPROX: pass elif bc == BC_CLAMP: pass elif bc == BC_WRAP: diff[0,:] = (arr[0,:]-arr[-1,:])/sp.x else: raise Exception('Unknwn boundary condition') elif diffType == DIFF_CENTRAL: diff[1:-1,:] = (arr[2:,:]-arr[:-2,:])/(2.0*sp.x) if bc == BC_APPROX: diff[0,:] = (arr[1,:]-arr[0,:])/sp.x diff[-1,:] = (arr[-1,:]-arr[-2,:])/sp.x elif bc == BC_CLAMP: diff[0,:] = (arr[1,:]-arr[0,:])/(2.0*sp.x) diff[-1,:] = (arr[-1,:]-arr[-2,:])/(2.0*sp.x) elif bc == BC_WRAP: diff[0,:] = (arr[1,:]-arr[-1,:])/(2.0*sp.x) diff[-1,:] = (arr[0,:]-arr[-2,:])/(2.0*sp.x) else: raise Exception('Unknwn diff type') elif dim == DIM_Y: if diffType == DIFF_FORWARD: diff[:,:-1] = (arr[:,1:]-arr[:,:-1])/sp.y if bc == BC_APPROX: pass elif bc == BC_CLAMP: pass elif bc == BC_WRAP: diff[:,-1] = (arr[:,0]-arr[:,-1])/sp.y else: raise Exception('Unknwn boundary condition') elif diffType == DIFF_BACKWARD: diff[:,1:] = (arr[:,1:]-arr[:,:-1])/sp.y if bc == BC_APPROX: pass elif bc == BC_CLAMP: pass elif bc == BC_WRAP: diff[:,0] = (arr[:,0]-arr[:,-1])/sp.y else: raise Exception('Unknwn boundary condition') elif diffType == DIFF_CENTRAL: diff[:,1:-1] = (arr[:,2:]-arr[:,:-2])/(2.0*sp.y) if bc == BC_APPROX: diff[:,0] = (arr[:,1]-arr[:,0])/sp.y diff[:,-1] = (arr[:,-1]-arr[:,-2])/sp.y elif bc == BC_CLAMP: diff[:,0] = (arr[:,1]-arr[:,0])/(2.0*sp.y) diff[:,-1] = (arr[:,-1]-arr[:,-2])/(2.0*sp.y) elif bc == BC_WRAP: diff[:,0] = (arr[:,1]-arr[:,-1])/(2.0*sp.y) diff[:,-1] = (arr[:,0]-arr[:,-2])/(2.0*sp.y) else: raise Exception('Unknwn diff type') elif dim == DIM_Z: raise Exception('DIM_Z unimplemented') else: raise Exception('Unknwn dimension') return diff # end FiniteDiff # # Numpy finite difference implementation to test against # def Grad(arr, diffType, bc, sp=Vec3Df(1.0, 1.0, 1.0)): dx = FiniteDiff(arr, DIM_X, diffType, bc, sp) dy = FiniteDiff(arr, DIM_Y, diffType, bc, sp) g = np.concatenate((np.atleast_3d(dx), np.atleast_3d(dy)),axis=2) return g # # Numpy implementation of 2D jacobian determinant # def JacDet(varr, diffType, bc, sp=Vec3Df(1.0, 1.0, 1.0)): gx = Grad(varr[:,:,0], diffType, bc, sp) gy = Grad(varr[:,:,1], diffType, bc, sp) jacDet = gx[:,:,0]*gy[:,:,1] - gx[:,:,1]*gy[:,:,0] return jacDet # # Numpy masked finite difference implementation to test against # def FiniteDiffMask(arr, mask, dim, diffType, bc, sp=Vec3Df(1.0, 1.0, 1.0)): diff = np.zeros(arr.shape) if dim == DIM_X: if diffType == DIFF_FORWARD: v = arr[:-1,:] vn = arr[1:,:].copy() vn[mask[1:,:] == 0] = v[mask[1:,:]==0] vp = arr[:-1,:] diff[:-1,:] = (vn-vp)/sp.x if bc == BC_APPROX: pass elif bc == BC_CLAMP: pass elif bc == BC_WRAP: raise Exception('wrap bc unimplemented for masked fd') else: raise Exception('Unknwn boundary condition') elif diffType == DIFF_BACKWARD: v = arr[1:,:] vn = arr[1:,:] vp = arr[:-1,:].copy() vp[mask[:-1,:] == 0] = v[mask[:-1,:] == 0] diff[1:,:] = (vn-vp)/sp.x if bc == BC_APPROX: pass elif bc == BC_CLAMP: pass elif bc == BC_WRAP: raise Exception('wrap bc unimplemented for masked fd') else: raise Exception('Unknwn boundary condition') elif diffType == DIFF_CENTRAL: v = arr[1:-1,:] vn = arr[2:,:].copy() vn[mask[2:,:] == 0] = v[mask[2:,:] == 0] vp = arr[:-2,:].copy() vp[mask[:-2,:] == 0] = v[mask[:-2,:] == 0] if bc == BC_APPROX: diff[1:-1,:] = (vn-vp)/(sp.x) elif bc == BC_CLAMP: diff[1:-1,:] = (vn-vp)/(2.0*sp.x) elif bc == BC_WRAP: raise Exception('wrap bc unimplemented for masked fd') else: raise Exception('Unknwn diff type') elif dim == DIM_Y: if diffType == DIFF_FORWARD: v = arr[:,:-1] vn = arr[:,1:].copy() vn[mask[:,1:] == 0] = v[mask[:,1:] == 0] vp = arr[:,:-1] diff[:,:-1] = (vn-vp)/sp.y if bc == BC_APPROX: pass elif bc == BC_CLAMP: pass elif bc == BC_WRAP: raise Exception('wrap bc unimplemented for masked fd') else: raise Exception('Unknwn boundary condition') elif diffType == DIFF_BACKWARD: v = arr[:,1:] vn = arr[:,1:] vp = arr[:,:-1].copy() vp[mask[:,:-1] == 0] = v[mask[:,:-1] == 0] diff[:,1:] = (vn-vp)/sp.y if bc == BC_APPROX: pass elif bc == BC_CLAMP: pass elif bc == BC_WRAP: raise Exception('wrap bc unimplemented for masked fd') else: raise Exception('Unknwn boundary condition') elif diffType == DIFF_CENTRAL: v = arr[:,1:-1] vn = arr[:,2:].copy() vn[mask[:,2:] == 0] = v[mask[:,2:] == 0] vp = arr[:,:-2].copy() vp[mask[:,:-2] == 0] = v[mask[:,:-2] == 0] if bc == BC_APPROX: diff[:,1:-1] = (vn-vp)/(sp.y) elif bc == BC_CLAMP: diff[:,1:-1] = (vn-vp)/(2.0*sp.y) elif bc == BC_WRAP: raise Exception('wrap bc unimplemented for masked fd') else: raise Exception('Unknwn diff type') elif dim == DIM_Z: raise Exception('DIM_Z unimplemented') else: raise Exception('Unknwn dimension') diff[mask == 0] = 0 return diff # # Numpy masked gradient finite difference implementation to test # against # def GradMask(arr, mask, diffType, bc, sp=Vec3Df(1.0, 1.0, 1.0)): dx = FiniteDiffMask(arr, mask, DIM_X, diffType, bc, sp) dy = FiniteDiffMask(arr, mask, DIM_Y, diffType, bc, sp) g = np.concatenate((np.atleast_3d(dx), np.atleast_3d(dy)),axis=2) return g

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null

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null

0

1

0

7

a1139cd5ffa2cbd5cede1a8f922c306e674fba1d

142

py

Python

invoke_based/tasks/__init__.py

netpyoung/nf.task-flow

1b8beb231e310d35848326b89944761f2919450a

[ "MIT" ]

null

invoke_based/tasks/__init__.py

netpyoung/nf.task-flow

1b8beb231e310d35848326b89944761f2919450a

[ "MIT" ]

null

invoke_based/tasks/__init__.py

netpyoung/nf.task-flow

1b8beb231e310d35848326b89944761f2919450a

[ "MIT" ]

null

# http://docs.pyinvoke.org/en/latest/index.htlm from .task_build_and import * from .task_update_db import * from .task_build_protoc import *

23.666667

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0

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7

a1327914306d0dbb1442c603e577d3f52910eaad

303

bzl

Python

tools/build_defs/android/rules.bzl

0xflotus/arcs

13614f1086f5bdcb973c6c6c9b28a49e4048a6a4

[ "BSD-Source-Code" ]

57

2017-05-17T02:27:13.000Z

2022-03-24T07:45:39.000Z

tools/build_defs/android/rules.bzl

0xflotus/arcs

13614f1086f5bdcb973c6c6c9b28a49e4048a6a4

[ "BSD-Source-Code" ]

2,687

2017-04-28T01:25:03.000Z

2022-01-07T13:51:39.000Z

tools/build_defs/android/rules.bzl

0xflotus/arcs

13614f1086f5bdcb973c6c6c9b28a49e4048a6a4

[ "BSD-Source-Code" ]

52

2017-04-28T00:06:50.000Z

2021-08-29T05:36:06.000Z

load( "@build_bazel_rules_android//android:rules.bzl", _android_binary = "android_binary", _android_library = "android_library", _android_local_test = "android_local_test", ) android_binary = _android_binary android_library = _android_library android_local_test = _android_local_test

23.307692

52

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36

303

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0.375587

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0.807512

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303

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0

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0

1

0

false

0

null

1

0

null

0

9

a15a1ad560707da77fd329746a316f5337690074

145

py

Python

two_qubit_simulator/quantum_gates/phase_gate.py

maggiecorrigan/two-qubit-simulator

b4fbf88dfefcac135ac08303af3e6e57f33a0cf4

[ "MIT" ]

null

two_qubit_simulator/quantum_gates/phase_gate.py

maggiecorrigan/two-qubit-simulator

b4fbf88dfefcac135ac08303af3e6e57f33a0cf4

[ "MIT" ]

null

two_qubit_simulator/quantum_gates/phase_gate.py

maggiecorrigan/two-qubit-simulator

b4fbf88dfefcac135ac08303af3e6e57f33a0cf4

[ "MIT" ]

22

2019-01-30T02:49:42.000Z

2020-04-04T11:02:47.000Z

""" Contains the Phase gate """ from .quantum_gate import QuantumGate class Phase(QuantumGate): """ Implements the Phase gate """ pass

14.5

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1

0

7

a1b10cb364e41c8b30a799d164debc0bb8cee2df

1,078

py

Python

ex/calc/sudoku/script.py

Amourspirit/python-ooouno-ex

523dd9b89a74aaf887edbcfe1dda316a04c7125b

[ "MIT" ]

null

ex/calc/sudoku/script.py

Amourspirit/python-ooouno-ex

523dd9b89a74aaf887edbcfe1dda316a04c7125b

[ "MIT" ]

2

2022-03-28T19:03:21.000Z

2022-03-29T00:03:34.000Z

ex/calc/sudoku/script.py

Amourspirit/python-ooouno-ex

523dd9b89a74aaf887edbcfe1dda316a04c7125b

[ "MIT" ]

null

from ex.calc.sudoku import sudoku_calc def generate_single_solve(*args, **kwargs) -> None: sudoku_calc.new_game() def num1(*args, **kwargs) -> None: sudoku_calc.set_number(1) def num2(*args, **kwargs) -> None: sudoku_calc.set_number(2) def num3(*args, **kwargs) -> None: sudoku_calc.set_number(3) def num4(*args, **kwargs) -> None: sudoku_calc.set_number(4) def num5(*args, **kwargs) -> None: sudoku_calc.set_number(5) def num6(*args, **kwargs) -> None: sudoku_calc.set_number(6) def num7(*args, **kwargs) -> None: sudoku_calc.set_number(7) def num8(*args, **kwargs) -> None: sudoku_calc.set_number(8) def num9(*args, **kwargs) -> None: sudoku_calc.set_number(9) def clear_sel(*args, **kwargs) -> None: sudoku_calc.clear_cell() def reset_board(*args, **kwargs) -> None: sudoku_calc.reset_board() def hint(*args, **kwargs) -> None: sudoku_calc.hint() def hide_toolbars(*args, **kwargs) -> None: sudoku_calc.hide_toolbars() def display_fullscreen(*args, **kwargs) -> None: sudoku_calc.display_fullscreen()

23.434783

51

0.675325

156

1,078

4.435897

0.282051

0.231214

0.303468

0.433526

0.637283

0.429191

0

0.01978

0.155844

1,078

46

52

23.434783

0.740659

0

1

0

1

0.483871

true

0

0.032258

0

0.516129

0

null

1

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1

0

null

0

1

0

1

0

7

62938109c047bb71f905d1e5efed4e1b85162b62

15,031

py

Python

tests/test_implementations/test_sqlalchemy_table/api_test/test_upsert_many_api.py

aebrahim/FastAPIQuickCRUD

5c4d1bea2203c30eb21557f18bf9016b55fffa60

[ "MIT" ]

123

2021-08-17T01:54:12.000Z

2022-03-29T20:41:56.000Z

tests/test_implementations/test_sqlalchemy_table/api_test/test_upsert_many_api.py

aebrahim/FastAPIQuickCRUD

5c4d1bea2203c30eb21557f18bf9016b55fffa60

[ "MIT" ]

10

2021-12-28T21:34:20.000Z

2022-03-16T13:31:24.000Z

tests/test_implementations/test_sqlalchemy_table/api_test/test_upsert_many_api.py

aebrahim/FastAPIQuickCRUD

5c4d1bea2203c30eb21557f18bf9016b55fffa60

[ "MIT" ]

10

2021-08-17T07:37:36.000Z

2022-03-31T13:16:55.000Z

import json import uuid from datetime import date, timedelta, datetime, timezone from starlette.testclient import TestClient from src.fastapi_quickcrud import CrudMethods from src.fastapi_quickcrud import crud_router_builder from src.fastapi_quickcrud import sqlalchemy_to_pydantic from src.fastapi_quickcrud.misc.exceptions import ConflictColumnsCannotHit from tests.test_implementations.test_sqlalchemy_table.api_test import get_transaction_session, app, UntitledTable256 # Create Many API Test test_create_many = crud_router_builder(db_session=get_transaction_session, db_model=UntitledTable256, exclude_columns=['bytea_value', 'xml_value', 'box_valaue'], crud_methods=[ CrudMethods.UPSERT_MANY, ], prefix="/test_creation_many", tags=["test"] ) [app.include_router(i) for i in [test_create_many]] client = TestClient(app) primary_key_name = 'primary_key' unique_fields = ['primary_key', 'int4_value', 'float4_value'] def create_example_data(): headers = { 'accept': 'application/json', 'Content-Type': 'application/json', } data = '{ "insert": [ { "bool_value": true, "char_value": "string", "date_value": "2021-07-23", "float4_value": 0, "float8_value": 0, "int2_value": 0, "int4_value": 0, "int8_value": 0, "interval_value": 0, "json_value": {}, "jsonb_value": {}, "numeric_value": 0, "text_value": "string", "timestamp_value": "2021-07-23T02:38:24.963Z", "timestamptz_value": "2021-07-23T02:38:24.963Z", "uuid_value": "3fa85f64-5717-4562-b3fc-2c963f66afa6", "varchar_value": "string", "array_value": [ 0 ], "array_str__value": [ "string" ] }, { "bool_value": true, "char_value": "string", "date_value": "2021-07-23", "float4_value": 0, "float8_value": 0, "int2_value": 0, "int4_value": 0, "int8_value": 0, "interval_value": 0, "json_value": {}, "jsonb_value": {}, "numeric_value": 0, "text_value": "string", "timestamp_value": "2021-07-23T02:38:24.963Z", "timestamptz_value": "2021-07-23T02:38:24.963Z", "uuid_value": "3fa85f64-5717-4562-b3fc-2c963f66afa6", "varchar_value": "string", "array_value": [ 0 ], "array_str__value": [ "string" ] }, { "bool_value": true, "char_value": "string", "date_value": "2021-07-23", "float4_value": 0, "float8_value": 0, "int2_value": 0, "int4_value": 0, "int8_value": 0, "interval_value": 0, "json_value": {}, "jsonb_value": {}, "numeric_value": 0, "text_value": "string", "timestamp_value": "2021-07-23T02:38:24.963Z", "timestamptz_value": "2021-07-23T02:38:24.963Z", "uuid_value": "3fa85f64-5717-4562-b3fc-2c963f66afa6", "varchar_value": "string", "array_value": [ 0 ], "array_str__value": [ "string" ] } ] }' response = client.post('/test_creation_many', headers=headers, data=data) assert response.status_code == 201 return response.json() def test_try_only_input_required_fields(): headers = { 'accept': 'application/json', 'Content-Type': 'application/json', } data = '{ "insert": [ { "float4_value": 1, "int2_value": 1, "int4_value": 1 },{ "float4_value": 2, "int2_value": 2, "int4_value": 2 },{ "float4_value": 3, "int2_value": 3, "int4_value": 3 } ] }' data_ = json.loads(data)['insert'] response = client.post('/test_creation_many', headers=headers, data=data) assert response.status_code == 201 response_result = response.json() for index, value in enumerate(data_): res_result_by_index = response_result[index] for k, v in value.items(): assert res_result_by_index[k] == v def test_try_input_with_conflict_but_conflict_columns_not_hit(): sample_data = create_example_data() headers = { 'accept': 'application/json', 'Content-Type': 'application/json', } data = {"on_conflict": {"update_columns": ["bool_value", "float8_value", "varchar_value", "interval_value", "time_value", "int8_value", "jsonb_value", "timetz_value", "array_str__value", "text_value", "char_value", "uuid_value", "array_value", "numeric_value", "timestamp_value", "int2_value", "date_value", "json_value", "timestamptz_value"]}} insert_data = [] for i in sample_data: _ = {} for k, v in i.items(): _[k] = v for k, v in {"float4_value": 99, "int2_value": 99, "int4_value": 99}.items(): _[k] = v insert_data.append(_) data['insert'] = insert_data try: _ = json.dumps(data) response = client.post('/test_creation_many', headers=headers, data=json.dumps(data)) except ConflictColumnsCannotHit as e: pass assert response.status_code == 409 def test_try_input_with_conflict(): sample_data = create_example_data() headers = { 'accept': 'application/json', 'Content-Type': 'application/json', } data = {"on_conflict": {"update_columns": ["bool_value", "float8_value", "varchar_value", "interval_value", "time_value", "int8_value", "jsonb_value", "timetz_value", "array_str__value", "text_value", "char_value", "uuid_value", "array_value", "numeric_value", "timestamp_value", "int2_value", "date_value", "json_value", "timestamptz_value"]}} insert_data = [] for i in sample_data: _ = {} for k, v in i.items(): _[k] = v for k, v in {"float8_value": 0.7}.items(): _[k] = v insert_data.append(_) data['insert'] = insert_data response = client.post('/test_creation_many', headers=headers, data=json.dumps(data)) assert response.status_code == 201 response_result = response.json() for index, value in enumerate(data['insert']): res_result_by_index = response_result[index] for k, v in value.items(): assert res_result_by_index[k] == value[k] def test_try_input_without_conflict(): sample_data = create_example_data() headers = { 'accept': 'application/json', 'Content-Type': 'application/json', } data = {} insert_data = [] for i in sample_data: _ = {} for k, v in i.items(): _[k] = v for k, v in {"float4_value": 99, "int2_value": 99, "int4_value": 99}.items(): _[k] = v insert_data.append(_) data['insert'] = insert_data response = client.post('/test_creation_many', headers=headers, data=json.dumps(data)) assert response.status_code == 409 def test_update_specific_columns_when_conflict(): def update_all_fields(): headers = { 'accept': 'application/json', } response_data = create_example_data() # create the data update_column_on_conflict = { "update_columns": [ "int8_value", "numeric_value", "varchar_value", "json_value", "float8_value", "time_value", "timestamp_value", "timestamptz_value", "array_value", "bool_value", "array_str__value", "int2_value", "text_value", "uuid_value", "char_value", "jsonb_value", "interval_value", "date_value", "timetz_value" ] } tmp = {} tmp['on_conflict'] = update_column_on_conflict bool_value_change = not response_data[0]['bool_value'] char_value_change = "test" date_value_change = str(date.today() - timedelta(days=1)) float8_value_change = 0.1 int2_value_change = 100 int8_value_change = 100 interval_value_change = float(5400) json_value_change = {"hello": "world"} jsonb_value_change = {"hello": "world"} numeric_value_change = 19 text_value_change = 'hello world' time_value_change = '18:18:18' timestamp_value_change = str(datetime.utcnow().isoformat()) timestamptz_value_change = str(datetime.utcnow().replace(tzinfo=timezone.utc).isoformat()) timetz_value_change = '18:18:18+00:00' uuid_value_change = str(uuid.uuid4()) varchar_value_change = 'hello world' array_value_change = [1, 2, 3, 4] array_str__value_change = ['1', '2', '3', '4'] change = {} change['bool_value'] = bool_value_change change['char_value'] = char_value_change change['date_value'] = date_value_change change['float8_value'] = float8_value_change change['int2_value'] = int2_value_change change['int8_value'] = int8_value_change change['interval_value'] = interval_value_change change['json_value'] = json_value_change change['jsonb_value'] = jsonb_value_change change['numeric_value'] = numeric_value_change change['text_value'] = text_value_change change['time_value'] = time_value_change change['timestamp_value'] = timestamp_value_change change['timestamptz_value'] = timestamptz_value_change change['timetz_value'] = timetz_value_change change['uuid_value'] = uuid_value_change change['varchar_value'] = varchar_value_change change['array_value'] = array_value_change change['array_str__value'] = array_str__value_change for i in response_data: for k, v in change.items(): i[k] = v tmp['insert'] = response_data response = client.post('/test_creation_many', headers=headers, data=json.dumps(tmp)) assert response.status_code == 201 response_result = response.json() for i in response_result: for k, v in i.items(): if k in change: if isinstance(v, str): v = v.strip() assert json.dumps(change[k]).strip() == json.dumps(v).strip() def update_partial_fields_1(): headers = { 'accept': 'application/json', } response_data = create_example_data() # create the data update_column_on_conflict = { "update_columns": [ "int8_value", "numeric_value", "varchar_value", "json_value", "float8_value", "time_value", "timestamp_value", "timestamptz_value", "array_value", "bool_value", "array_str__value", ] } tmp = {} tmp['on_conflict'] = update_column_on_conflict bool_value_change = not response_data[0]['bool_value'] float8_value_change = 0.1 int8_value_change = 100 json_value_change = {"hello": "world"} numeric_value_change = 19 time_value_change = '18:18:18' timestamp_value_change = str(datetime.utcnow().isoformat()) timestamptz_value_change = str(datetime.utcnow().replace(tzinfo=timezone.utc).isoformat()) uuid_value_change = str(uuid.uuid4()) varchar_value_change = 'hello world' array_value_change = [1, 2, 3, 4] array_str__value_change = ['1', '2', '3', '4'] change = {} change['int8_value'] = int8_value_change change['numeric_value'] = numeric_value_change change['varchar_value'] = varchar_value_change change['json_value'] = json_value_change change['float8_value'] = float8_value_change change['time_value'] = time_value_change change['timestamp_value'] = timestamp_value_change change['timestamptz_value'] = timestamptz_value_change change['array_value'] = array_value_change change['bool_value'] = bool_value_change change['array_str__value'] = array_str__value_change for i in response_data: for k, v in change.items(): i[k] = v tmp['insert'] = response_data response = client.post('/test_creation_many', headers=headers, data=json.dumps(tmp)) assert response.status_code == 201 response_result = response.json() for i in response_result: for k, v in i.items(): if k in change: if isinstance(v, str): v = v.strip() assert json.dumps(change[k]).strip() == json.dumps(v).strip() def update_partial_fields_2(): headers = { 'accept': 'application/json', } response_data = create_example_data() # create the data update_column_on_conflict = { "update_columns": [ "int2_value", "text_value", "uuid_value", "char_value", "jsonb_value", "interval_value", "date_value", "timetz_value" ] } tmp = {} tmp['on_conflict'] = update_column_on_conflict char_value_change = "test" date_value_change = str(date.today() - timedelta(days=1)) int2_value_change = 100 interval_value_change = float(5400) jsonb_value_change = {"hello": "world"} text_value_change = 'hello world' timetz_value_change = '18:18:18+00:00' uuid_value_change = str(uuid.uuid4()) change = {} change['int2_value'] = int2_value_change change['text_value'] = text_value_change change['uuid_value'] = uuid_value_change change['char_value'] = char_value_change change['jsonb_value'] = jsonb_value_change change['interval_value'] = interval_value_change change['date_value'] = date_value_change change['timetz_value'] = timetz_value_change for i in response_data: for k, v in change.items(): i[k] = v tmp['insert'] = response_data response = client.post('/test_creation_many', headers=headers, data=json.dumps(tmp)) assert response.status_code == 201 response_result = response.json() for i in response_result: for k, v in i.items(): if k in change: if isinstance(v, str): v = v.strip() assert json.dumps(change[k]).strip() == json.dumps(v).strip() update_all_fields() update_partial_fields_1() update_partial_fields_2()

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0.583594

1,694

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4.835301

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0

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0.292928

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0

1

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null

0

8

629ffac15c353394bf00d6d22033e65ced0d0e80

17,268

py

Python

paradigm_tools.py

fhardison/greek-inflexion

8decc1ebcbcfb58b46bd22ca2ac90496ed19c9db

[ "MIT" ]

null

paradigm_tools.py

fhardison/greek-inflexion

8decc1ebcbcfb58b46bd22ca2ac90496ed19c9db

[ "MIT" ]

null

paradigm_tools.py

fhardison/greek-inflexion

8decc1ebcbcfb58b46bd22ca2ac90496ed19c9db

[ "MIT" ]

null

# py -m doctest -v examples.rst from greek_inflexion import GreekInflexion from yaml import load try: from yaml import CLoader as Loader except ImportError: from yaml import Loader inflexion = GreekInflexion('stemming.yaml', 'STEM_DATA/pratt_lexicon.yaml') def rotate_lists(xs): len_x0 = len(xs[0]) for x in xs: assert len(x) == len_x0 out = [] for i in range(0,len(xs[0])): out.append([x[i] for x in xs]) return out def load_labels(fpath, lang): with open(fpath, 'r', encoding="UTF-8") as f: labels = load(f, Loader=Loader) return labels[lang] def layout_merged_imp_paradigm_md(verbs, TVMs, labels): verbs = [[f' {y} ' for y in xs] for xs in verbs] row_labels = [f' {labels[x]} ' for x in ['2nd', '3rd']] * 2 verbs.insert(0,row_labels) sgpl = [f' {labels["SG"]} ', ' ', f' {labels["PL"]} ' , ' '] verbs.insert(0,sgpl) header = [f' {labels["number"]} ', f' {labels["person"]} '] header.extend([f' {labels[x]} ' if x in labels else f' {labels["unknown"]} ' for x in TVMs]) r_verbs = rotate_lists(verbs) tcontent = "|" + "|".join(header) + "|\n" tcontent += "|" + ":----|" * len(header) + "\n" tcontent += "\n".join(['|' + "|".join(x) + '|' for x in r_verbs]) print(tcontent) print() def layout_non_merged_imp_paradigm_md(verbs, tvm, labels): row_labels = [f' {labels[x]} ' for x in ['2nd', '3rd']] * 2 v = [f' {y} ' for y in verbs] header = [f' {labels["number"]} ', f' {labels["person"]} ', f' {labels[tvm] if tvm in labels else labels["unknown"]} '] numbers = [f' {labels["SG"]} ', ' ', f' {labels["PL"]} ', ' '] r_verbs = rotate_lists([numbers, row_labels, v]) tcontent = "|" + "|".join(header) + "|\n" tcontent += "|:----|:----|:----|\n" tcontent += "\n".join(['|' + "|".join(x) + '|' for x in r_verbs]) print(tcontent) print() def layout_merged_verb_paradigm_md(verbs, TVMs, labels): verbs = [[f' {y} ' for y in xs] for xs in verbs] row_labels = [f' {labels[x]} ' for x in ['1st', '2nd', '3rd']] * 2 verbs.insert(0,row_labels) sgpl = [f' {labels["SG"]} ', ' ', ' ', f' {labels["PL"]} ' , ' ' , ' '] verbs.insert(0,sgpl) header = [f' {labels["number"]} ', f' {labels["person"]} '] header.extend([f' {labels[x]} ' if x in labels else f' {labels["unknown"]} ' for x in TVMs]) r_verbs = rotate_lists(verbs) tcontent = "|" + "|".join(header) + "|\n" tcontent += "|" + ":----|" * len(header) + "\n" tcontent += "\n".join(['|' + "|".join(x) + '|' for x in r_verbs]) print(tcontent) print() def layout_non_merged_verb_paradigm_md(verbs, tvm, labels): row_labels = [f' {labels[x]} ' for x in ['1st', '2nd', '3rd']] * 2 v = [f' {y} ' for y in verbs] header = [f' {labels["number"]} ', f' {labels["person"]} ', f' {labels[tvm] if tvm in labels else labels["unknown"]} '] numbers = [f' {labels["SG"]} ', ' ', ' ', f' {labels["PL"]} ' , ' ' , ' '] r_verbs = rotate_lists([numbers, row_labels, v]) tcontent = "|" + "|".join(header) + "|\n" tcontent += "|:----|:----|:----|\n" tcontent += "\n".join(['|' + "|".join(x) + '|' for x in r_verbs]) print(tcontent) print() def layout_merged_inf_paradigm_md(forms, labels): print("| | " + labels["inf"] + " |") print("|:---|:---|") for tvm, form in forms: print(f'| {labels[tvm] if tvm in labels else labels["unknown"]} | {form[0]} |') print() def layout_non_merged_inf_paradigm_md(form, tvm, labels): print("| | " + labels["inf"] + " |") print("|:---|:---|") print(f'| {labels[tvm] if tvm in labels else labels["unknown"]} | {form[0]} |') print() def layout_participle_summary_paradigm_md(forms, label, labels): forms = [f' {x} ' for x in forms] header = [f' {labels["number"]} ', f' {labels["case"]} ', f' {labels["masc"]} ', f' {labels["fem"]} ', f' {labels["neut"]} '] cases = [f' {labels["nom"]} ', f' {labels["gen"]} '] * 2 row1 = forms[0:3] row2 = forms[3:] row1.insert(0, f' {labels["nom"]} ') row1.insert(0, f' {labels["SG"]} ') row2.insert(0, f' {labels["gen"]} ') row2.insert(0, f' ') rows = [row1, row2] tcontent = f'| {"|".join(header)} |\n' tcontent += f'|:-----|:-----|:-----|:-----|:-----|\n' tcontent += "\n".join([f'| {"|".join(x)} |' for x in rows]) print(tcontent) print() def conjugate_md(lemma, *TVMs, tags=None, labels="labels.yaml", lang="el", merge_paradigms=True): labels = load_labels(labels, lang) forms = inflexion.conjugate_core(lemma, *TVMs, tags=tags) # participles can't be merged with other verb paradigms verbs = [(fs[0], list(fs[1].values())) for fs in forms if fs[0][2] in "SOI"] imps = [(fs[0], list(fs[1].values())) for fs in forms if fs[0][2] == "D"] infs = [(fs[0], list(fs[1].values())) for fs in forms if fs[0][2] == "N"] parts = [(fs[0], list(fs[1].values())) for fs in forms if fs[0][2] == "P"] if verbs: if merge_paradigms: tvms = [x[0] for x in verbs] verbs = [x[1] for x in verbs] layout_merged_verb_paradigm_md(verbs, tvms, labels) else: for label, v in verbs: layout_non_merged_verb_paradigm_md(v, label, labels) if infs: if merge_paradigms: layout_merged_inf_paradigm_md(infs, labels) else: for label, v in infs: layout_non_merged_inf_paradigm_md(v, label, labels) if imps: if merge_paradigms: tvms = [x[0] for x in imps] imps = [x[1] for x in imps] layout_merged_imp_paradigm_md(imps, tvms, labels) else: for label, v in imps: layout_non_merged_imp_paradigm_md(v, label, labels) if parts: for label, v in parts: layout_participle_summary_paradigm_md(v, label, labels) def layout_merged_imp_paradigm_html(verbs, TVMs, labels): verbs = [[f'<td class="para-item">{y}</td>' for y in xs] for xs in verbs] row_labels = [f'<td class="para-row-label">{labels[x]}</td>' for x in ['2nd', '3rd']] * 2 verbs.insert(0,row_labels) header = [f'<td class="para-header-cell">{labels[x]}</td>' if x in labels else f'<td class="para-header-cell">{labels["unknown"]}</td>' for x in TVMs] header.insert(0, f'<td class="para-header-cell">{labels["person"]}</td>') header.insert(0, f'<td class="para-header-cell">{labels["number"]}</td>') r_verbs = rotate_lists(verbs) r_verbs[0].insert(0, f'<td class="para-row-label" rowspan="2" valign="top">{labels["SG"]}</td>') r_verbs[2].insert(0, f'<td class="para-row-label" rowspan="2" valign="top">{labels["PL"]}</td>') tcontent = f'<thead><tr class="para-header-row">{"".join(header)}</tr></thead>' tcontent += "<tbody>\n" + "\n".join([f'<tr>{"".join(x)}</tr>' for x in r_verbs]) + "\n</tbody>" print("<link href=\"./paradigm.css\" rel=\"stylesheet\">") print(f'<table class="verb-paradigm">\n{tcontent}\n</table>') print() def layout_non_merged_imp_paradigm_html(verbs, tvm, labels): row_labels = [f'<td class="para-row-label">{labels[x]}</td>' for x in ['2nd', '3rd']] * 2 v = [f'<td class="para-item">{y}</td>' for y in verbs] header = [f'<td class="para-header-cell">{labels["number"]}</td>', f'<td class="para-header-cell">{labels["person"]}</td>', f'<td class="para-header-cell">{labels[tvm]}</td>' if tvm in labels else f'<td class="para-header-cell">{labels["unknown"]}</td>'] r_verbs = rotate_lists([row_labels, v]) r_verbs[0].insert(0, f'<td class="para-row-label" rowspan="2" valign="top">{labels["SG"]}</td>') r_verbs[2].insert(0, f'<td class="para-row-label" rowspan="2" valign="top">{labels["PL"]}</td>') tcontent = f'<thead><tr class="para-header-row">{"".join(header)}</tr></thead>' tcontent += "<tbody>\n" + "\n".join([f'<tr>{"".join(x)}</tr>' for x in r_verbs]) + "\n</tbody>" print("<link href=\"./paradigm.css\" rel=\"stylesheet\">") print(f'<table class="verb-paradigm">\n{tcontent}\n</table>') print() def layout_merged_inf_paradigm_html(verbs, labels): header = [f'<td class="para-header-cell"></td>', f'<td class="para-header-cell">{labels["inf"]}</td>'] vs = [[f'<td class="para-item">{labels[tvm] if tvm in labels else labels["unknown"]}</td>', f'<td class="para-item">{y[0]}</td>'] for (tvm, y) in verbs] tcontent = f'<thead><tr class="para-header-row">{"".join(header)}</tr></thead>' tcontent += "<tbody>\n" + "\n".join([f'<tr>{"".join(x)}</tr>' for x in vs]) + "\n</tbody>" print("<link href=\"./paradigm.css\" rel=\"stylesheet\">") print(f'<table class="verb-paradigm">\n{tcontent}\n</table>') print() def layout_non_merged_inf_paradigm_html(verbs, tvm, labels): header = [f'<td class="para-header-cell"></td>', f'<td class="para-header-cell">{labels["inf"]}</td>'] vs = [[f'<td class="para-item">{labels[tvm] if tvm in labels else labels["unknown"]}</td>', f'<td class="para-item">{y}</td>'] for y in verbs] tcontent = f'<thead><tr class="para-header-row">{"".join(header)}</tr></thead>' tcontent += "<tbody>\n" + "\n".join([f'<tr>{"".join(x)}</tr>' for x in vs]) + "\n</tbody>" print("<link href=\"./paradigm.css\" rel=\"stylesheet\">") print(f'<table class="verb-paradigm">\n{tcontent}\n</table>') print() def layout_participle_summary_paradigm_html(forms, label, labels): forms = [f'<td class="para-item">{x}</td>' for x in forms] header = [f'<td class="para-header-cell">{labels["number"]}</td>', f'<td class="para-header-cell">{labels["case"]}</td>', f'<td class="para-header-cell">{labels["masc"]}</td>', f'<td class="para-header-cell">{labels["fem"]}</td>', f'<td class="para-header-cell">{labels["neut"]}</td>'] cases = [f'<td class="para-row-label">{labels["nom"]}</td>', f'<td class="para-row-label">{labels["gen"]}</td>'] * 2 row1 = forms[0:3] row2 = forms[3:] row1.insert(0, f'<td class="para-row-label">{labels["nom"]}</td>') row1.insert(0, f'<td class="para-row-label" valign="top" rowspan="2">{labels["SG"]}</td>') row2.insert(0, f'<td class="para-row-label">{labels["gen"]}</td>') rows = [row1, row2] tcontent = f'<thead><tr class="para-header-row">{"".join(header)}</tr></thead>' tcontent += "<tbody>\n" + "\n".join([f'<tr>{"".join(x)}</tr>' for x in rows]) + "\n</tbody>" print("<link href=\"./paradigm.css\" rel=\"stylesheet\">") print(f'<table class="verb-paradigm">\n{tcontent}\n</table>') print() def layout_merged_verb_paradigm_html(verbs, TVMs, labels): verbs = [[f'<td class="para-item">{y}</td>' for y in xs] for xs in verbs] row_labels = [f'<td class="para-row-label">{labels[x]}</td>' for x in ['1st', '2nd', '3rd']] * 2 verbs.insert(0,row_labels) header = [f'<td class="para-header-cell">{labels[x]}</td>' if x in labels else f'<td class="para-header-cell">{labels["unknown"]}</td>' for x in TVMs ] header.insert(0, f'<td class="para-header-cell">{labels["person"]}</td>') header.insert(0, f'<td class="para-header-cell">{labels["number"]}</td>') r_verbs = rotate_lists(verbs) r_verbs[0].insert(0, f'<td class="para-row-label" rowspan="3" valign="top">{labels["SG"]}</td>') r_verbs[3].insert(0, f'<td class="para-row-label" rowspan="3" valign="top">{labels["PL"]}</td>') tcontent = f'<thead><tr class="para-header-row">{"".join(header)}</tr></thead>' tcontent += "<tbody>\n" + "\n".join([f'<tr>{"".join(x)}</tr>' for x in r_verbs]) + "\n</tbody>" print("<link href=\"./paradigm.css\" rel=\"stylesheet\">") print(f'<table class="verb-paradigm">\n{tcontent}\n</table>') print() def layout_non_merged_verb_paradigm_html(verbs, tvm, labels): row_labels = [f'<td class="para-row-label">{labels[x]}</td>' for x in ['1st', '2nd', '3rd']] * 2 v = [f'<td class="para-item">{y}</td>' for y in verbs] header = [f'<td class="para-header-cell">{labels["number"]}</td>', f'<td class="para-header-cell">{labels["person"]}</td>', f'<td class="para-header-cell">{labels[tvm]}</td>'if tvm in labels else f'<td class="para-header-cell">{labels["unknown"]}</td>'] r_verbs = rotate_lists([row_labels, v]) r_verbs[0].insert(0, f'<td class="para-row-label" rowspan="3" valign="top">{labels["SG"]}</td>') r_verbs[3].insert(0, f'<td class="para-row-label" rowspan="3" valign="top">{labels["PL"]}</td>') tcontent = f'<thead><tr class="para-header-row">{"".join(header)}</tr></thead>' tcontent += "<tbody>\n" + "\n".join([f'<tr>{"".join(x)}</tr>' for x in r_verbs]) + "\n</tbody>" print("<link href=\"./paradigm.css\" rel=\"stylesheet\">") print(f'<table class="verb-paradigm">\n{tcontent}\n</table>') print() def conjugate_html(lemma, *TVMs, tags=None, labels="labels.yaml", lang="el", merge_paradigms=True): labels = load_labels(labels, lang) forms = inflexion.conjugate_core(lemma, *TVMs, tags=tags) # participles can't be merged with other verb paradigms verbs = [(fs[0], list(fs[1].values())) for fs in forms if fs[0][2] in "IOS"] imps = [(fs[0], list(fs[1].values())) for fs in forms if fs[0][2] == "D"] infs = [(fs[0], list(fs[1].values())) for fs in forms if fs[0][2] == "N"] parts = [(fs[0], list(fs[1].values())) for fs in forms if fs[0][2] == "P"] if verbs: if merge_paradigms: tvms = [x[0] for x in verbs] verbs = [x[1] for x in verbs] layout_merged_verb_paradigm_html(verbs, tvms, labels) else: for label, v in verbs: layout_non_merged_verb_paradigm_html(v, label, labels) if imps: if merge_paradigms: tvms = [x[0] for x in imps] imps = [x[1] for x in imps] layout_merged_imp_paradigm_html(imps, tvms, labels) else: for label, v in imps: layout_non_merged_imp_paradigm_html(v, label, labels) if infs: if merge_paradigms: layout_merged_inf_paradigm_html(infs, labels) else: for label, v in infs: layout_non_merged_inf_paradigm_html(v, label, labels) if parts: for label, v in parts: layout_participle_summary_paradigm_html(v, label, labels) def layout_nouny_paradigm_md(forms, labels): forms = [[f" {y} " for y in x] for x in forms] header = [f' {labels["number"]} ', f' {labels["case"]} ', f' {labels["masc"]} ', f' {labels["fem"]} ', f' {labels["neut"]} '] cases = [f' {labels["nom"]} ', f' {labels["gen"]} ', f' {labels["dat"]} ', f' {labels["acc"]} ', f' {labels["voc"]} '] * 2 forms.insert(0, cases) numbers = [f' {labels["SG"]} ', ' ', ' ',' ',' ', f' {labels["PL"]} ' , ' ' , ' ', ' ', ' '] forms.insert(0, numbers) r_forms = rotate_lists(forms) tcontent = f'| {"|".join(header)} |\n' tcontent += "|:----|:----|:----|:----|:----|\n" tcontent += "\n".join([f'|{"|".join(x)}|' for x in r_forms]) print(tcontent) print() def decline_md(lemma, TVM, tags=None, labels="labels.yaml", lang="el"): labels = load_labels(labels, lang) forms = [list(x.values()) for x in inflexion.decline_core(lemma, TVM, tags=tags)] layout_nouny_paradigm_md(forms, labels) def layout_nouny_paradigm_html(forms, labels): forms = [[f'<td class="para-item">{y}</td>' for y in x] for x in forms] header = [f'<td class="para-header-cell">{labels["number"]}</td>', f'<td class="para-header-cell">{labels["case"]}</td>', f'<td class="para-header-cell">{labels["masc"]}</td>', f'<td class="para-header-cell">{labels["fem"]}</td>', f'<td class="para-header-cell">{labels["neut"]}</td>'] cases = [f'<td class="para-row-label">{labels["nom"]}</td>', f'<td class="para-row-label">{labels["gen"]}</td>', f'<td class="para-row-label">{labels["dat"]}</td>', f'<td class="para-row-label">{labels["acc"]}</td>', f'<td class="para-row-label">{labels["voc"]}</td>'] * 2 forms.insert(0, cases) r_forms = rotate_lists(forms) r_forms[0].insert(0, f'<td class="para-row-label" rowspan="5" valign="top">{labels["SG"]}</td>') r_forms[5].insert(0, f'<td class="para-row-label" rowspan="5" valign="top">{labels["PL"]}</td>') tcontent = f'<thead><tr class="para-header-row">{"".join(header)}</tr></thead>' tcontent += "<tbody>\n" + "\n".join([f'<tr>{"".join(x)}</tr>' for x in r_forms]) + "\n</tbody>" print("<link href=\"./paradigm.css\" rel=\"stylesheet\">") print(f'<table class="verb-paradigm">\n{tcontent}\n</table>') print() def decline_html(lemma, TVM, tags=None, labels="labels.yaml", lang="el"): labels = load_labels(labels, lang) forms = [list(x.values()) for x in inflexion.decline_core(lemma, TVM, tags=tags)] layout_nouny_paradigm_html(forms, labels)

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c52e042ff84ede90e4e723a4ec16b1323168c9ee

144

py

Python

tests/test_partypy_prototype.py

UBC-MDS/partypy_prototype

4b2001b68ac226ca8d571bd0c38fe7d3661deb70

[ "MIT" ]

null

tests/test_partypy_prototype.py

UBC-MDS/partypy_prototype

4b2001b68ac226ca8d571bd0c38fe7d3661deb70

[ "MIT" ]

null

tests/test_partypy_prototype.py

UBC-MDS/partypy_prototype

4b2001b68ac226ca8d571bd0c38fe7d3661deb70

[ "MIT" ]

null

from partypy_prototype import __version__ from partypy_prototype import partypy_prototype def test_version(): assert __version__ == '0.1.0'

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py

Python

orquesta/tests/unit/conducting/test_workflow_conductor_with_items_failure.py

exp-vkishore/orquesta

2823b42aff71ea711024a81f893af38033cb5de7

[ "Apache-2.0" ]

85

2018-07-26T04:29:49.000Z

2022-03-31T10:47:50.000Z

orquesta/tests/unit/conducting/test_workflow_conductor_with_items_failure.py

exp-vkishore/orquesta

2823b42aff71ea711024a81f893af38033cb5de7

[ "Apache-2.0" ]

149

2018-07-27T22:36:45.000Z

2022-03-31T10:54:32.000Z

orquesta/tests/unit/conducting/test_workflow_conductor_with_items_failure.py

exp-vkishore/orquesta

2823b42aff71ea711024a81f893af38033cb5de7

[ "Apache-2.0" ]

24

2018-08-07T13:37:41.000Z

2021-12-16T18:12:43.000Z

# Copyright 2019 Extreme Networks, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from orquesta import conducting from orquesta import events from orquesta.specs import native as native_specs from orquesta import statuses from orquesta.tests.unit import base as test_base class WorkflowConductorWithItemsFailureTest(test_base.WorkflowConductorWithItemsTest): def test_fail_one_and_only_item(self): wf_def = """ version: 1.0 vars: - xs: - fee tasks: task1: with: <% ctx(xs) %> action: core.echo message=<% item() %> """ spec = native_specs.WorkflowSpec(wf_def) self.assertDictEqual(spec.inspect(), {}) conductor = conducting.WorkflowConductor(spec) conductor.request_workflow_status(statuses.RUNNING) # Mock the action execution for each item and assert expected task statuses. task_route = 0 task_name = "task1" task_ctx = {"xs": ["fee"]} task_action_specs = [ {"action": "core.echo", "input": {"message": "fee"}, "item_id": 0}, ] mock_ac_ex_statuses = [statuses.FAILED] expected_task_statuses = [statuses.FAILED] expected_workflow_statuses = [statuses.FAILED] self.assert_task_items( conductor, task_name, task_route, task_ctx, task_ctx["xs"], task_action_specs, mock_ac_ex_statuses, expected_task_statuses, expected_workflow_statuses, ) # Assert the task is not removed from staging. This is intentional so the with items # task can be rerun partially for failed items or items that hasn't been run. self.assertIsNotNone(conductor.workflow_state.get_staged_task(task_name, task_route)) # Assert the workflow failed. self.assertEqual(conductor.get_workflow_status(), statuses.FAILED) def test_failed_item_task_dormant_other_incomplete(self): wf_def = """ version: 1.0 vars: - xs: - fee - fi - fo - fum tasks: task1: with: <% ctx(xs) %> action: core.echo message=<% item() %> """ spec = native_specs.WorkflowSpec(wf_def) self.assertDictEqual(spec.inspect(), {}) conductor = conducting.WorkflowConductor(spec) conductor.request_workflow_status(statuses.RUNNING) # Mock the action execution for each item and assert expected task statuses. task_route = 0 task_name = "task1" task_ctx = {"xs": ["fee", "fi", "fo", "fum"]} task_action_specs = [ {"action": "core.echo", "input": {"message": "fee"}, "item_id": 0}, {"action": "core.echo", "input": {"message": "fi"}, "item_id": 1}, {"action": "core.echo", "input": {"message": "fo"}, "item_id": 2}, {"action": "core.echo", "input": {"message": "fum"}, "item_id": 3}, ] mock_ac_ex_statuses = [statuses.SUCCEEDED, statuses.FAILED] expected_task_statuses = [statuses.RUNNING, statuses.FAILED] expected_workflow_statuses = [statuses.RUNNING, statuses.FAILED] self.assert_task_items( conductor, task_name, task_route, task_ctx, task_ctx["xs"], task_action_specs, mock_ac_ex_statuses, expected_task_statuses, expected_workflow_statuses, ) # Assert the task is not removed from staging. This is intentional so the with items # task can be rerun partially for failed items or items that hasn't been run. self.assertIsNotNone(conductor.workflow_state.get_staged_task(task_name, task_route)) # Assert the workflow failed. self.assertEqual(conductor.get_workflow_status(), statuses.FAILED) def test_failed_item_task_dormant_other_failed(self): wf_def = """ version: 1.0 vars: - xs: - fee - fi - fo - fum tasks: task1: with: <% ctx(xs) %> action: core.echo message=<% item() %> """ spec = native_specs.WorkflowSpec(wf_def) self.assertDictEqual(spec.inspect(), {}) conductor = conducting.WorkflowConductor(spec) conductor.request_workflow_status(statuses.RUNNING) # Mock the action execution for each item and assert expected task statuses. task_route = 0 task_name = "task1" task_ctx = {"xs": ["fee", "fi", "fo", "fum"]} task_action_specs = [ {"action": "core.echo", "input": {"message": "fee"}, "item_id": 0}, {"action": "core.echo", "input": {"message": "fi"}, "item_id": 1}, {"action": "core.echo", "input": {"message": "fo"}, "item_id": 2}, {"action": "core.echo", "input": {"message": "fum"}, "item_id": 3}, ] mock_ac_ex_statuses = [statuses.SUCCEEDED, statuses.FAILED, statuses.FAILED] expected_task_statuses = [statuses.RUNNING, statuses.RUNNING, statuses.FAILED] expected_workflow_statuses = [statuses.RUNNING, statuses.RUNNING, statuses.FAILED] self.assert_task_items( conductor, task_name, task_route, task_ctx, task_ctx["xs"], task_action_specs, mock_ac_ex_statuses, expected_task_statuses, expected_workflow_statuses, ) # Assert the task is not removed from staging. This is intentional so the with items # task can be rerun partially for failed items or items that hasn't been run. self.assertIsNotNone(conductor.workflow_state.get_staged_task(task_name, task_route)) # Assert the workflow failed. self.assertEqual(conductor.get_workflow_status(), statuses.FAILED) def test_failed_item_task_active(self): wf_def = """ version: 1.0 vars: - xs: - fee - fi - fo - fum tasks: task1: with: <% ctx(xs) %> action: core.echo message=<% item() %> """ spec = native_specs.WorkflowSpec(wf_def) self.assertDictEqual(spec.inspect(), {}) conductor = conducting.WorkflowConductor(spec) conductor.request_workflow_status(statuses.RUNNING) # Mock the action execution for each item and assert expected task statuses. task_route = 0 task_name = "task1" task_ctx = {"xs": ["fee", "fi", "fo", "fum"]} task_action_specs = [ {"action": "core.echo", "input": {"message": "fee"}, "item_id": 0}, {"action": "core.echo", "input": {"message": "fi"}, "item_id": 1}, {"action": "core.echo", "input": {"message": "fo"}, "item_id": 2}, {"action": "core.echo", "input": {"message": "fum"}, "item_id": 3}, ] mock_ac_ex_statuses = [ statuses.SUCCEEDED, statuses.FAILED, statuses.SUCCEEDED, statuses.SUCCEEDED, ] expected_task_statuses = [statuses.RUNNING] * 3 + [statuses.FAILED] expected_workflow_statuses = [statuses.RUNNING] * 3 + [statuses.FAILED] self.assert_task_items( conductor, task_name, task_route, task_ctx, task_ctx["xs"], task_action_specs, mock_ac_ex_statuses, expected_task_statuses, expected_workflow_statuses, ) # Assert the task is not removed from staging. This is intentional so the with items # task can be rerun partially for failed items or items that hasn't been run. self.assertIsNotNone(conductor.workflow_state.get_staged_task(task_name, task_route)) # Assert the workflow failed. self.assertEqual(conductor.get_workflow_status(), statuses.FAILED) def test_failed_item_task_dormant_with_concurrency(self): wf_def = """ version: 1.0 vars: - xs: - fee - fi - fo - fum tasks: task1: with: items: <% ctx(xs) %> concurrency: 2 action: core.echo message=<% item() %> """ concurrency = 2 spec = native_specs.WorkflowSpec(wf_def) self.assertDictEqual(spec.inspect(), {}) conductor = conducting.WorkflowConductor(spec) conductor.request_workflow_status(statuses.RUNNING) # Mock the action execution for each item and assert expected task statuses. task_route = 0 task_name = "task1" task_ctx = {"xs": ["fee", "fi", "fo", "fum"]} task_action_specs = [ {"action": "core.echo", "input": {"message": "fee"}, "item_id": 0}, {"action": "core.echo", "input": {"message": "fi"}, "item_id": 1}, {"action": "core.echo", "input": {"message": "fo"}, "item_id": 2}, {"action": "core.echo", "input": {"message": "fum"}, "item_id": 3}, ] mock_ac_ex_statuses = [statuses.SUCCEEDED, statuses.FAILED] expected_task_statuses = [statuses.RUNNING, statuses.FAILED] expected_workflow_statuses = [statuses.RUNNING, statuses.FAILED] self.assert_task_items( conductor, task_name, task_route, task_ctx, task_ctx["xs"], task_action_specs, mock_ac_ex_statuses, expected_task_statuses, expected_workflow_statuses, concurrency=concurrency, ) # Assert the task is not removed from staging. This is intentional so the with items # task can be rerun partially for failed items or items that hasn't been run. self.assertIsNotNone(conductor.workflow_state.get_staged_task(task_name, task_route)) # Assert the workflow failed. self.assertEqual(conductor.get_workflow_status(), statuses.FAILED) def test_failed_item_task_active_with_concurrency(self): wf_def = """ version: 1.0 vars: - xs: - fee - fi - fo - fum tasks: task1: with: items: <% ctx(xs) %> concurrency: 2 action: core.echo message=<% item() %> """ concurrency = 2 spec = native_specs.WorkflowSpec(wf_def) self.assertDictEqual(spec.inspect(), {}) conductor = conducting.WorkflowConductor(spec) conductor.request_workflow_status(statuses.RUNNING) # Mock the action execution for each item and assert expected task statuses. task_route = 0 task_name = "task1" task_ctx = {"xs": ["fee", "fi", "fo", "fum"]} task_action_specs = [ {"action": "core.echo", "input": {"message": "fee"}, "item_id": 0}, {"action": "core.echo", "input": {"message": "fi"}, "item_id": 1}, {"action": "core.echo", "input": {"message": "fo"}, "item_id": 2}, {"action": "core.echo", "input": {"message": "fum"}, "item_id": 3}, ] mock_ac_ex_statuses = [ statuses.SUCCEEDED, statuses.FAILED, statuses.SUCCEEDED, statuses.SUCCEEDED, ] expected_task_statuses = [statuses.RUNNING] * 3 + [statuses.FAILED] expected_workflow_statuses = [statuses.RUNNING] * 3 + [statuses.FAILED] self.assert_task_items( conductor, task_name, task_route, task_ctx, task_ctx["xs"], task_action_specs, mock_ac_ex_statuses, expected_task_statuses, expected_workflow_statuses, concurrency=concurrency, ) # Assert the task is not removed from staging. This is intentional so the with items # task can be rerun partially for failed items or items that hasn't been run. self.assertIsNotNone(conductor.workflow_state.get_staged_task(task_name, task_route)) # Assert the workflow failed. self.assertEqual(conductor.get_workflow_status(), statuses.FAILED) def test_failed_item_with_task_remediation(self): wf_def = """ version: 1.0 vars: - xs: - fee - fi - fo - fum tasks: task1: with: <% ctx(xs) %> action: core.echo message=<% item() %> next: - do: task2 task2: action: core.noop """ spec = native_specs.WorkflowSpec(wf_def) self.assertDictEqual(spec.inspect(), {}) conductor = conducting.WorkflowConductor(spec) conductor.request_workflow_status(statuses.RUNNING) # Mock the action execution for each item and assert expected task statuses. task_route = 0 task_name = "task1" task_ctx = {"xs": ["fee", "fi", "fo", "fum"]} task_action_specs = [ {"action": "core.echo", "input": {"message": "fee"}, "item_id": 0}, {"action": "core.echo", "input": {"message": "fi"}, "item_id": 1}, {"action": "core.echo", "input": {"message": "fo"}, "item_id": 2}, {"action": "core.echo", "input": {"message": "fum"}, "item_id": 3}, ] mock_ac_ex_statuses = [ statuses.SUCCEEDED, statuses.FAILED, statuses.SUCCEEDED, statuses.SUCCEEDED, ] expected_task_statuses = [statuses.RUNNING] * 3 + [statuses.FAILED] expected_workflow_statuses = [statuses.RUNNING] * 4 self.assert_task_items( conductor, task_name, task_route, task_ctx, task_ctx["xs"], task_action_specs, mock_ac_ex_statuses, expected_task_statuses, expected_workflow_statuses, ) current_task = conductor.get_next_tasks()[0] current_task_id = current_task["id"] current_task_route = current_task["route"] ac_ex_event = events.ActionExecutionEvent(statuses.RUNNING) conductor.update_task_state(current_task_id, current_task_route, ac_ex_event) ac_ex_event = events.ActionExecutionEvent(statuses.SUCCEEDED) conductor.update_task_state(current_task_id, current_task_route, ac_ex_event) # Assert there are only two tasks executed. self.assertEqual(len(conductor.workflow_state.sequence), 2) # Assert the workflow succeeded. self.assertEqual(conductor.get_workflow_status(), statuses.SUCCEEDED) def test_failed_all_items_with_task_remediation(self): wf_def = """ version: 1.0 vars: - xs: - fee - fi - fo - fum tasks: task1: with: <% ctx(xs) %> action: core.echo message=<% item() %> next: - do: task2 task2: action: core.noop """ spec = native_specs.WorkflowSpec(wf_def) self.assertDictEqual(spec.inspect(), {}) conductor = conducting.WorkflowConductor(spec) conductor.request_workflow_status(statuses.RUNNING) # Mock the action execution for each item and assert expected task statuses. task_route = 0 task_name = "task1" task_ctx = {"xs": ["fee", "fi", "fo", "fum"]} task_action_specs = [ {"action": "core.echo", "input": {"message": "fee"}, "item_id": 0}, {"action": "core.echo", "input": {"message": "fi"}, "item_id": 1}, {"action": "core.echo", "input": {"message": "fo"}, "item_id": 2}, {"action": "core.echo", "input": {"message": "fum"}, "item_id": 3}, ] mock_ac_ex_statuses = [ statuses.FAILED, statuses.FAILED, statuses.FAILED, statuses.FAILED, ] expected_task_statuses = [statuses.RUNNING] * 3 + [statuses.FAILED] expected_workflow_statuses = [statuses.RUNNING] * 4 self.assert_task_items( conductor, task_name, task_route, task_ctx, task_ctx["xs"], task_action_specs, mock_ac_ex_statuses, expected_task_statuses, expected_workflow_statuses, ) current_task = conductor.get_next_tasks()[0] current_task_id = current_task["id"] current_task_route = current_task["route"] ac_ex_event = events.ActionExecutionEvent(statuses.RUNNING) conductor.update_task_state(current_task_id, current_task_route, ac_ex_event) ac_ex_event = events.ActionExecutionEvent(statuses.SUCCEEDED) conductor.update_task_state(current_task_id, current_task_route, ac_ex_event) # Assert there are only two tasks executed. self.assertEqual(len(conductor.workflow_state.sequence), 2) # Assert the workflow succeeded. self.assertEqual(conductor.get_workflow_status(), statuses.SUCCEEDED) def test_failed_item_task_dormant_with_concurrency_and_task_remediation(self): wf_def = """ version: 1.0 vars: - xs: - fee - fi - fo - fum tasks: task1: with: items: <% ctx(xs) %> concurrency: 2 action: core.echo message=<% item() %> next: - do: task2 task2: action: core.noop """ concurrency = 2 spec = native_specs.WorkflowSpec(wf_def) self.assertDictEqual(spec.inspect(), {}) conductor = conducting.WorkflowConductor(spec) conductor.request_workflow_status(statuses.RUNNING) # Mock the action execution for each item and assert expected task statuses. task_route = 0 task_name = "task1" task_ctx = {"xs": ["fee", "fi", "fo", "fum"]} task_action_specs = [ {"action": "core.echo", "input": {"message": "fee"}, "item_id": 0}, {"action": "core.echo", "input": {"message": "fi"}, "item_id": 1}, {"action": "core.echo", "input": {"message": "fo"}, "item_id": 2}, {"action": "core.echo", "input": {"message": "fum"}, "item_id": 3}, ] mock_ac_ex_statuses = [statuses.SUCCEEDED, statuses.FAILED] expected_task_statuses = [statuses.RUNNING, statuses.FAILED] expected_workflow_statuses = [statuses.RUNNING] * 4 self.assert_task_items( conductor, task_name, task_route, task_ctx, task_ctx["xs"], task_action_specs, mock_ac_ex_statuses, expected_task_statuses, expected_workflow_statuses, concurrency=concurrency, ) current_task = conductor.get_next_tasks()[0] current_task_id = current_task["id"] current_task_route = current_task["route"] ac_ex_event = events.ActionExecutionEvent(statuses.RUNNING) conductor.update_task_state(current_task_id, current_task_route, ac_ex_event) ac_ex_event = events.ActionExecutionEvent(statuses.SUCCEEDED) conductor.update_task_state(current_task_id, current_task_route, ac_ex_event) # Assert there are only two tasks executed. self.assertEqual(len(conductor.workflow_state.sequence), 2) # Assert the workflow succeeded. self.assertEqual(conductor.get_workflow_status(), statuses.SUCCEEDED) def test_task_cycle(self): wf_def = """ version: 1.0 vars: - xs: - fee - fi - fo - fum tasks: init: next: - do: task1 task1: with: <% ctx(xs) %> action: core.echo message=<% item() %> next: - when: <% failed() %> do: task1 """ spec = native_specs.WorkflowSpec(wf_def) self.assertDictEqual(spec.inspect(), {}) conductor = conducting.WorkflowConductor(spec) conductor.request_workflow_status(statuses.RUNNING) # Get pass the init task, required for bootstrapping self looping task.. self.forward_task_statuses(conductor, "init", [statuses.RUNNING, statuses.SUCCEEDED]) # Mock the action execution for each item and assert expected task statuses. task_route = 0 task_name = "task1" task_ctx = {"xs": ["fee", "fi", "fo", "fum"]} task_action_specs = [ {"action": "core.echo", "input": {"message": "fee"}, "item_id": 0}, {"action": "core.echo", "input": {"message": "fi"}, "item_id": 1}, {"action": "core.echo", "input": {"message": "fo"}, "item_id": 2}, {"action": "core.echo", "input": {"message": "fum"}, "item_id": 3}, ] mock_ac_ex_statuses = [statuses.SUCCEEDED, statuses.FAILED] expected_task_statuses = [statuses.RUNNING, statuses.FAILED] expected_workflow_statuses = [statuses.RUNNING] * 2 self.assert_task_items( conductor, task_name, task_route, task_ctx, task_ctx["xs"], task_action_specs, mock_ac_ex_statuses, expected_task_statuses, expected_workflow_statuses, ) # Assert the task is reset in staging. staged_task = conductor.workflow_state.get_staged_task(task_name, task_route) self.assertIsNotNone(staged_task) self.assertNotIn("items", staged_task) # Assert the workflow is still running. self.assertEqual(conductor.get_workflow_status(), statuses.RUNNING) # Mock the second task execution. mock_ac_ex_statuses = [statuses.SUCCEEDED] * 4 expected_task_statuses = [statuses.RUNNING] * 3 + [statuses.SUCCEEDED] expected_workflow_statuses = [statuses.RUNNING] * 3 + [statuses.SUCCEEDED] self.assert_task_items( conductor, task_name, task_route, task_ctx, task_ctx["xs"], task_action_specs, mock_ac_ex_statuses, expected_task_statuses, expected_workflow_statuses, ) # Assert the task is removed from staging. self.assertIsNone(conductor.workflow_state.get_staged_task(task_name, task_route)) # Assert the workflow succeeded. conductor.render_workflow_output() self.assertEqual(conductor.get_workflow_status(), statuses.SUCCEEDED)

34.353198

93

0.575122

2,521

23,635

5.155494

0.0714

0.03847

0.050627

0.054089

0.914365

0.901054

0.890205

0.883435

0.876048

0

0.007897

0.314195

23,635

687

94

34.403202

0.793942

0.122699

0

0.879079

0

0.22262

0

0.084453

1

0.019194

false

0

0.009597

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0.03071

0

null

0

1

0

1

0

null

0

7

9a9a3c44c2c81819a2ffb7418513ab8597474f76

948

py

Python

resteasycli/exceptions.py

rapidstack/RESTEasyCLI

f65fc86163c25f843a94341f09b20db28c1511d7

[ "MIT" ]

null

resteasycli/exceptions.py

rapidstack/RESTEasyCLI

f65fc86163c25f843a94341f09b20db28c1511d7

[ "MIT" ]

55

2019-01-01T12:03:58.000Z

2019-05-23T16:36:30.000Z

resteasycli/exceptions.py

sayanarijit/RESTEasyCLI

f65fc86163c25f843a94341f09b20db28c1511d7

[ "MIT" ]

5

2019-01-01T17:04:37.000Z

2019-03-02T17:59:49.000Z

class FileNotFoundException(Exception): def __init__(self, *args, **kwargs): Exception.__init__(self, *args, **kwargs) class FileExtensionNotSupportedException(Exception): def __init__(self, *args, **kwargs): Exception.__init__(self, *args, **kwargs) class MethodNotAllowedException(Exception): def __init__(self, *args, **kwargs): Exception.__init__(self, *args, **kwargs) class EntryNotFoundException(Exception): def __init__(self, *args, **kwargs): Exception.__init__(self, *args, **kwargs) class InvalidCommandException(Exception): def __init__(self, *args, **kwargs): Exception.__init__(self, *args, **kwargs) class CorruptFileException(Exception): def __init__(self, *args, **kwargs): Exception.__init__(self, *args, **kwargs) class InvalidFormatException(Exception): def __init__(self, *args, **kwargs): Exception.__init__(self, *args, **kwargs)

28.727273

52

0.693038

91

948

6.604396

0.153846

0.186356

0.279534

0.419301

0.71381

0

0.166667

948

32

53

29.625

0.760759

0

0.666667

0

1

0.333333

false

0

0.666667

0

null

0

1

0

1

0

null

0

1

0

1

0

9

9aac967710f7bd4f38c6a06a0b53dbf3689d5fbf

2,758

py

Python

lib/test_calculate_terms.py

StoDevX/course-data-tools

7afc7f060c6724aea12d35bd71b4586a2f818fcd

[ "MIT" ]

2

2016-08-19T03:26:35.000Z

2017-05-15T14:40:22.000Z

lib/test_calculate_terms.py

StoDevX/course-data-tools

7afc7f060c6724aea12d35bd71b4586a2f818fcd

[ "MIT" ]

1

2018-09-05T15:50:23.000Z

2018-09-05T16:33:16.000Z

lib/test_calculate_terms.py

StoDevX/course-data-tools

7afc7f060c6724aea12d35bd71b4586a2f818fcd

[ "MIT" ]

null

from .calculate_terms import find_terms_for_year, find_terms, get_years_and_terms, calculate_terms from datetime import date def test_find_terms_for_year(): assert find_terms_for_year(2000, date(2001, 1, 1)) == [20001, 20002, 20003, 20004, 20005] assert find_terms_for_year(2001, date(2000, 1, 1)) == [] assert find_terms_for_year(2000, date(2000, 1, 1)) == [] assert find_terms_for_year(2000, date(2000, 4, 1)) == [20001, 20002, 20003] assert find_terms_for_year(2000, date(2000, 8, 1)) == [20001, 20002, 20003, 20004, 20005] def test_find_terms(): assert find_terms(start_year=2017, end_year=2018, now=date(2018, 8, 20)) == [ [20171, 20172, 20173, 20174, 20175], [20181, 20182, 20183, 20184, 20185], ] assert find_terms(now=date(2018, 6, 20)) == [ [19941, 19942, 19943, 19944, 19945], [19951, 19952, 19953, 19954, 19955], [19961, 19962, 19963, 19964, 19965], [19971, 19972, 19973, 19974, 19975], [19981, 19982, 19983, 19984, 19985], [19991, 19992, 19993, 19994, 19995], [20001, 20002, 20003, 20004, 20005], [20011, 20012, 20013, 20014, 20015], [20021, 20022, 20023, 20024, 20025], [20031, 20032, 20033, 20034, 20035], [20041, 20042, 20043, 20044, 20045], [20051, 20052, 20053, 20054, 20055], [20061, 20062, 20063, 20064, 20065], [20071, 20072, 20073, 20074, 20075], [20081, 20082, 20083, 20084, 20085], [20091, 20092, 20093, 20094, 20095], [20101, 20102, 20103, 20104, 20105], [20111, 20112, 20113, 20114, 20115], [20121, 20122, 20123, 20124, 20125], [20131, 20132, 20133, 20134, 20135], [20141, 20142, 20143, 20144, 20145], [20151, 20152, 20153, 20154, 20155], [20161, 20162, 20163, 20164, 20165], [20171, 20172, 20173, 20174, 20175], [20181, 20182, 20183], ] assert find_terms(now=date(2018, 8, 20)) == [ [19941, 19942, 19943, 19944, 19945], [19951, 19952, 19953, 19954, 19955], [19961, 19962, 19963, 19964, 19965], [19971, 19972, 19973, 19974, 19975], [19981, 19982, 19983, 19984, 19985], [19991, 19992, 19993, 19994, 19995], [20001, 20002, 20003, 20004, 20005], [20011, 20012, 20013, 20014, 20015], [20021, 20022, 20023, 20024, 20025], [20031, 20032, 20033, 20034, 20035], [20041, 20042, 20043, 20044, 20045], [20051, 20052, 20053, 20054, 20055], [20061, 20062, 20063, 20064, 20065], [20071, 20072, 20073, 20074, 20075], [20081, 20082, 20083, 20084, 20085], [20091, 20092, 20093, 20094, 20095], [20101, 20102, 20103, 20104, 20105], [20111, 20112, 20113, 20114, 20115], [20121, 20122, 20123, 20124, 20125], [20131, 20132, 20133, 20134, 20135], [20141, 20142, 20143, 20144, 20145], [20151, 20152, 20153, 20154, 20155], [20161, 20162, 20163, 20164, 20165], [20171, 20172, 20173, 20174, 20175], [20181, 20182, 20183, 20184, 20185], ]

36.773333

98

0.660261

381

2,758

4.687664

0.39895

0.06047

0.067189

0.06271

0.884099

0.863382

0.805151

0.788354

0.769317

0

0.624837

0.167875

2,758

74

99

37.27027

0.153377

0

0.761194

0

0.119403

1

0.029851

true

0

0.029851

0

0.059701

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

10

9ae572d01faafd5f123223a787bd094c4b93dfc7

7,821

py

Python

oura/models/activity.py

kevingoldsmith/python-ouraring

aa398b93efd95a4b26c29b3db542e9fd914045d5

[ "MIT" ]

null

oura/models/activity.py

kevingoldsmith/python-ouraring

aa398b93efd95a4b26c29b3db542e9fd914045d5

[ "MIT" ]

null

oura/models/activity.py

kevingoldsmith/python-ouraring

aa398b93efd95a4b26c29b3db542e9fd914045d5

[ "MIT" ]

null

from helper import OuraModel, from_json class Activity(OuraModel): _KEYS = [ "summary_date", "day_start", "day_end", "timezone", "score", "score_stay_active", "score_move_every_hour", "score_meet_daily_targets", "score_training_frequency", "score_training_volume", "score_recovery_time", "daily_movement", "non_wear", "rest", "inactive", "inactivity_alerts", "low", "medium", "high", "steps", "cal_total", "cal_active", "met_min_inactive", "met_min_low", "met_min_medium_plus", "met_min_medium", "met_min_high", "average_met", "class_5min", "met_1min" ] if __name__ == '__main__': test = """ { "summary_date": "2016-09-03", "day_start": "2016-09-03T04:00:00+03:00", "day_end": "2016-09-04T03:59:59+03:00", "timezone": 180, "score": 87, "score_stay_active": 90, "score_move_every_hour": 100, "score_meet_daily_targets": 60, "score_training_frequency": 96, "score_training_volume": 95, "score_recovery_time": 100, "daily_movement": 7806, "non_wear": 313, "rest": 426, "inactive": 429, "inactivity_alerts": 0, "low": 224, "medium": 49, "high": 0, "steps": 9206, "cal_total": 2540, "cal_active": 416, "met_min_inactive": 9, "met_min_low": 167, "met_min_medium_plus": 159, "met_min_medium": 159, "met_min_high": 0, "average_met": 1.4375, "class_5min":"1112211111111111111111111111111111111111111111233322322223333323322222220000000000000000000000000000000000000000000000000000000233334444332222222222222322333444432222222221230003233332232222333332333333330002222222233233233222212222222223121121111222111111122212321223211111111111111111", "met_1min": [ 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] }""" activity = from_json(test, Activity) print(activity)

104.28

5,725

0.52244

3,048

7,821

1.31332

0.029199

0.20035

0.251062

0.330752

0.642518

0.607295

0.58706

0.5336

0.505871

0.429178

0

0.451779

0.079913

7,821

75

5,726

104.28

0.104503

0

0.014286

0.929804

0.804884

0

1

0

false

0

0.014286

0

0.042857

0.014286

0

1

null

1

0

1

0

1

0

1

null

0

10

9aef8102c930f2ded58bcf71a12a431d56f87125

1,602

py

Python

gym_cellular_automata/forest_fire/helicopter/utils/helicopter_shape.py

BrunoGupa/gym-cellular-automata

6b5d96f2ccf13d1c1da9e2dc4d5273553cfbc89f

[ "MIT" ]

13

2021-02-22T20:26:11.000Z

2022-02-03T02:33:33.000Z

gym_cellular_automata/forest_fire/helicopter/utils/helicopter_shape.py

BrunoGupa/gym-cellular-automata

6b5d96f2ccf13d1c1da9e2dc4d5273553cfbc89f

[ "MIT" ]

1

2021-10-18T00:50:01.000Z

gym_cellular_automata/forest_fire/helicopter/utils/helicopter_shape.py

BrunoGupa/gym-cellular-automata

6b5d96f2ccf13d1c1da9e2dc4d5273553cfbc89f

[ "MIT" ]

2

2021-03-30T23:35:09.000Z

2021-09-03T16:37:40.000Z

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1,601

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null

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8

b163187a867da3e0e600039c182a4c5010423887

1,032

py

Python

tests/evaluation/external.py

PiNaCl/cclust_package

18100b89bbaa6ae3b34dbb3a65e33755bcbb627f

[ "BSD-3-Clause" ]

26

2016-04-18T12:59:18.000Z

2021-09-22T14:28:25.000Z

tests/evaluation/external.py

boutalbi/cclust_package

d301cf8d4073af5e972edd1a05320e2343ab8895

[ "BSD-3-Clause" ]

9

2017-02-13T16:35:24.000Z

2021-12-03T21:42:09.000Z

tests/evaluation/external.py

boutalbi/cclust_package

d301cf8d4073af5e972edd1a05320e2343ab8895

[ "BSD-3-Clause" ]

21

2017-01-09T14:21:00.000Z

2022-03-23T10:03:04.000Z

from unittest import TestCase from coclust.evaluation import external class TestAccuracy(TestCase): def test_accuracy_1(self): true_row_labels = [0, 0, 1, 1] predicted_row_labels = [0, 0, 1, 1] accuracy = external.accuracy(true_row_labels, predicted_row_labels) self.assertEqual(accuracy, 1) def test_accuracy_2(self): true_row_labels = [0, 0, 1, 1] predicted_row_labels = [1, 1, 0, 0] accuracy = external.accuracy(true_row_labels, predicted_row_labels) self.assertEqual(accuracy, 1) def test_accuracy_3(self): true_row_labels = [0, 1, 1, 0] predicted_row_labels = [1, 1, 0, 0] accuracy = external.accuracy(true_row_labels, predicted_row_labels) self.assertEqual(accuracy, 0.5) def test_accuracy_4(self): true_row_labels = [0, 0, 1, 1, 1] predicted_row_labels = [1, 1, 0, 1, 0] accuracy = external.accuracy(true_row_labels, predicted_row_labels) self.assertEqual(accuracy, 0.8)

30.352941

75

0.660853

144

1,032

4.458333

0.173611

0.224299

0.161994

0.105919

0.803738

0.775701

0.76947

0.702492

0

0.05598

0.238372

1,032

33

76

31.272727

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0.173913

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0

null

1

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1

0

null

0

7

b17bbecf341139cf034951607a9b0e86a5e155b5

2,107

py

Python

PC_chp FIles/PC_chp9_classes/car.py

rwelsh98/isat252

c2647bfa1200aefb7aba9b911e3e2f625af445c4

[ "MIT" ]

null

PC_chp FIles/PC_chp9_classes/car.py

rwelsh98/isat252

c2647bfa1200aefb7aba9b911e3e2f625af445c4

[ "MIT" ]

null

PC_chp FIles/PC_chp9_classes/car.py

rwelsh98/isat252

c2647bfa1200aefb7aba9b911e3e2f625af445c4

[ "MIT" ]

null

""" Your module description """ class Car: """A simple attempt to represent a car.""" def __init__(self, make, model, year): """Initialze attributes to describe a car.""" self.make=make self.model=model self.year=year def get_descriptive_name(self): """Return a neatly formatted descriptive name.""" long_name=f"{self.year} {self.make} {self.model}" return long_name.title() my_new_car=Car('audi', ' a4', 2019) print(my_new_car.get_descriptive_name()) #setting a default value for an attribute. class Car: """A simple attempt to represent a car.""" def __init__(self, make, model, year): """Initialze attributes to describe a car.""" self.make=make self.model=model self.year=year self.odometer_reading=0 def get_descriptive_name(self): """Return a neatly formatted descriptive name.""" long_name=f"{self.year} {self.make} {self.model}" return long_name.title() def read_odometer(self): """Print a statement showing the car's mileage""" print(f"This car had {self.odometer_reading} miles on it.") my_new_car=Car('audi', ' a4', 2019) print(my_new_car.get_descriptive_name()) my_new_car.read_odometer() #modifying attribute values class Car: """A simple attempt to represent a car.""" def __init__(self, make, model, year): """Initialze attributes to describe a car.""" self.make=make self.model=model self.year=year self.odometer_reading=0 def get_descriptive_name(self): """Return a neatly formatted descriptive name.""" long_name=f"{self.year} {self.make} {self.model}" return long_name.title() def read_odometer(self): """Print a statement showing the car's mileage""" print(f"This car had {self.odometer_reading} miles on it.") my_new_car=Car('audi', ' a4', 2019) print(my_new_car.get_descriptive_name()) my_new_car.odometer_reading=23 my_new_car.read_odometer()

30.536232

67

0.634077

287

2,107

4.456446

0.198606

0.056294

0.035184

0.924941

0.899922

0

0.011942

0.244898

2,107

69

68

30.536232

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false

0

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1

0

1

0

null

0

1

0

8

4945eca4ea6b5c54f58c8635db2b58d988873a34

9,924

py

Python

src/genie/libs/parser/nxos/tests/ShowSystemInternalSysmgrServiceName/cli/equal/golden_output_2_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

204

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/nxos/tests/ShowSystemInternalSysmgrServiceName/cli/equal/golden_output_2_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

468

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/nxos/tests/ShowSystemInternalSysmgrServiceName/cli/equal/golden_output_2_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

309

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

expected_output = { 'instance': {'__inst_001__ospf': {'tag': {'ENT': {'internal_id': 83, 'last_restart_date': 'Wed ' 'Mar ' '18 ' '10:14:35 ' '2020', 'pid': 23994, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_crashed', 'restart_count': 1, 'sap': 320, 'state': 'SRV_STATE_HANDSHAKED', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x41000119'}}}, '__inst_002__ospf': {'tag': {'IPN': {'internal_id': 88, 'last_restart_date': 'Wed ' 'Mar ' '18 ' '10:14:35 ' '2020', 'pid': 23993, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_crashed', 'restart_count': 1, 'sap': 321, 'state': 'SRV_STATE_HANDSHAKED', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x42000119'}}}, '__inst_003__ospf': {'tag': {'l3vpn': {'internal_id': 93, 'last_restart_date': 'Wed ' 'Mar ' '18 ' '10:14:35 ' '2020', 'pid': 23992, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_crashed', 'restart_count': 1, 'sap': 322, 'state': 'SRV_STATE_HANDSHAKED', 'state_start_date': 'Wed ' 'Mar ' '18 ' '10:14:35 ' '2020', 'uuid': '0x43000119'}}}, '__inst_004__ospf': {'tag': {'N/A': {'internal_id': 98, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_started', 'state': 'SRV_STATE_WAIT_SPAWN_CONDITION', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x44000119'}}}, '__inst_005__ospf': {'tag': {'N/A': {'internal_id': 103, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_started', 'state': 'SRV_STATE_WAIT_SPAWN_CONDITION', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x45000119'}}}, '__inst_006__ospf': {'tag': {'N/A': {'internal_id': 107, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_started', 'state': 'SRV_STATE_WAIT_SPAWN_CONDITION', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x46000119'}}}, '__inst_007__ospf': {'tag': {'N/A': {'internal_id': 111, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_started', 'state': 'SRV_STATE_WAIT_SPAWN_CONDITION', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x47000119'}}}, '__inst_008__ospf': {'tag': {'N/A': {'internal_id': 115, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_started', 'state': 'SRV_STATE_WAIT_SPAWN_CONDITION', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x48000119'}}}, '__inst_009__ospf': {'tag': {'N/A': {'internal_id': 119, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_started', 'state': 'SRV_STATE_WAIT_SPAWN_CONDITION', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x49000119'}}}, '__inst_010__ospf': {'tag': {'N/A': {'internal_id': 123, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_started', 'state': 'SRV_STATE_WAIT_SPAWN_CONDITION', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x4A000119'}}}, '__inst_011__ospf': {'tag': {'N/A': {'internal_id': 127, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_started', 'state': 'SRV_STATE_WAIT_SPAWN_CONDITION', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x4B000119'}}}, '__inst_012__ospf': {'tag': {'N/A': {'internal_id': 131, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_started', 'state': 'SRV_STATE_WAIT_SPAWN_CONDITION', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x4C000119'}}}, '__inst_013__ospf': {'tag': {'N/A': {'internal_id': 135, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_started', 'state': 'SRV_STATE_WAIT_SPAWN_CONDITION', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x4D000119'}}}, '__inst_014__ospf': {'tag': {'N/A': {'internal_id': 139, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_started', 'state': 'SRV_STATE_WAIT_SPAWN_CONDITION', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x4E000119'}}}, '__inst_015__ospf': {'tag': {'N/A': {'internal_id': 143, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_started', 'state': 'SRV_STATE_WAIT_SPAWN_CONDITION', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x4F000119'}}}, '__inst_016__ospf': {'tag': {'N/A': {'internal_id': 147, 'plugin_id': '1', 'process_name': 'ospf', 'reboot_state': 'never_started', 'state': 'SRV_STATE_WAIT_SPAWN_CONDITION', 'state_start_date': 'Wed ' 'Mar 18 ' '10:14:35 ' '2020', 'uuid': '0x50000119'}}}}}

41.697479

62

0.290911

637

9,924

4.124019

0.150706

0.050628

0.072326

0.086791

0.838599

0.744576

0

0.125469

0.596836

9,924

237

63

41.873418

0.531117

0

0.748936

0

0.295102

0.039307

0

0.016126

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

8

4998be621089996ec201424e5b2b22ed304e73db

34,018

py

Python

iter8_analytics/tests/unit/v2/experiment_test.py

sriumcp/iter8-analytics

87704d0111328a718e6692d5f0aed946083732ba

[ "Apache-2.0" ]

null

iter8_analytics/tests/unit/v2/experiment_test.py

sriumcp/iter8-analytics

87704d0111328a718e6692d5f0aed946083732ba

[ "Apache-2.0" ]

null

iter8_analytics/tests/unit/v2/experiment_test.py

sriumcp/iter8-analytics

87704d0111328a718e6692d5f0aed946083732ba

[ "Apache-2.0" ]

null

"""Tests for module iter8_analytics.api.v2""" # standard python stuff import logging import json import os import copy # python libraries import requests_mock from iter8_analytics import fastapi_app from iter8_analytics.api.v2.types import \ ExperimentResource, AggregatedMetricsAnalysis, VersionAssessmentsAnalysis, \ WinnerAssessmentAnalysis, WeightsAnalysis, VersionWeight from iter8_analytics.config import env_config import iter8_analytics.constants as constants from iter8_analytics.api.v2.examples.examples_canary import \ er_example, er_example_step1, er_example_step2, er_example_step3, \ am_response, va_response, wa_response, w_response, mr_example, mocked_mr_example from iter8_analytics.api.v2.examples.examples_ab import \ ab_er_example, ab_er_example_step1, ab_er_example_step2, ab_er_example_step3, \ ab_am_response, ab_va_response, ab_wa_response, ab_w_response, ab_mr_example from iter8_analytics.api.v2.examples.examples_abn import \ abn_er_example, abn_er_example_step1, abn_er_example_step2, abn_er_example_step3, \ abn_am_response, abn_va_response, abn_wa_response, abn_w_response, abn_mr_example from iter8_analytics.api.v2.metrics import get_aggregated_metrics from iter8_analytics.api.v2.experiment import get_version_assessments, get_winner_assessment, \ get_weights, get_analytics_results logger = logging.getLogger('iter8_analytics') if not logger.hasHandlers(): fastapi_app.config_logger(env_config[constants.LOG_LEVEL]) logger.info(env_config) # class TestExperiment: # """Test Iter8 v2 experiment""" def test_v2_input_object(): ExperimentResource(** er_example) ExperimentResource(** er_example_step1) ExperimentResource(** er_example_step2) ExperimentResource(** er_example_step3) def test_experiment_response_objects(): AggregatedMetricsAnalysis(** am_response) VersionAssessmentsAnalysis(** va_response) WinnerAssessmentAnalysis(** wa_response) WeightsAnalysis(** w_response) def test_v2_aggregated_metrics_endpoint(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') response_json = json.load(open(file_path)) mock.get(er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=response_json) expr = ExperimentResource(** er_example) agm = get_aggregated_metrics( expr.convert_to_float()).convert_to_quantity() assert agm.data['request-count'].data['default'].value == \ response_json['data']['result'][0]['value'][1] ercopy = copy.deepcopy(er_example) del ercopy["status"]["metrics"] expr = ExperimentResource(** ercopy) agm = get_aggregated_metrics( expr.convert_to_float()).convert_to_quantity() def test_v2_version_assessment_endpoint(): expr = ExperimentResource(** er_example_step1) get_version_assessments(expr.convert_to_float()) def test_v2_winner_assessment_endpoint(): expr = ExperimentResource(** er_example_step2) get_winner_assessment(expr.convert_to_float()) def test_v2_weights_endpoint(): expr = ExperimentResource(** er_example_step3) get_weights(expr.convert_to_float()) def test_v2_analytics_assessment_endpoint(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) expr = ExperimentResource(** er_example) get_analytics_results(expr.convert_to_float()).convert_to_quantity() def test_mock_metrics(): ercopy = copy.deepcopy(er_example) ercopy["status"]["metrics"] = mocked_mr_example expr = ExperimentResource(** ercopy) agm = get_aggregated_metrics( expr.convert_to_float()) logger.info(agm) assert agm.data['request-count'].data['default'].value > 100.0 assert agm.data['request-count'].data['canary'].value > 100.0 assert agm.data['mean-latency'].data['default'].value > 15.0 assert agm.data['mean-latency'].data['canary'].value > 9.0 def test_v2_am_without_candidates(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(er_example) del example['spec']['versionInfo']['candidates'] expr = ExperimentResource(** example) get_aggregated_metrics(expr.convert_to_float()).convert_to_quantity() def test_v2_analytics_assessment_conformance(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(er_example) del example['spec']['versionInfo']['candidates'] example['spec']['strategy']['testingPattern'] = 'Conformance' expr = ExperimentResource(** example) get_analytics_results(expr.convert_to_float()).convert_to_quantity() def test_v2_version_assessment_conformance(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(er_example) del example['spec']['versionInfo']['candidates'] example['spec']['strategy']['testingPattern'] = 'Conformance' expr = ExperimentResource(** example) resp = get_analytics_results( expr.convert_to_float()).convert_to_quantity() assert resp.version_assessments.data == {'default': [True]} def test_v2_va_without_am(): expr = ExperimentResource(** er_example) try: get_version_assessments(expr.convert_to_float()) except AttributeError: pass def test_v2_wa_without_va(): expr = ExperimentResource(** er_example) try: get_winner_assessment(expr.convert_to_float()) except AttributeError: pass def test_v2_w_without_wa(): expr = ExperimentResource(** er_example) try: get_weights(expr.convert_to_float()) except AttributeError: pass def test_v2_no_prometheus_response(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_no_response.json') mock.get(er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) expr = ExperimentResource(** er_example) resp = get_aggregated_metrics( expr.convert_to_float()).convert_to_quantity() expected_response = { "request-count": { "max": None, "min": None, "data": { "default": { "max": None, "min": None, "sample_size": None, "value": None }, "canary": { "max": None, "min": None, "sample_size": None, "value": None } } }, "mean-latency": { "max": None, "min": None, "data": { "default": { "max": None, "min": None, "sample_size": None, "value": None }, "canary": { "max": None, "min": None, "sample_size": None, "value": None } } } } assert resp.data == expected_response def test_v2_va_with_no_metric_value(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_no_response.json') mock.get(er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) expr = ExperimentResource(** er_example) resp = get_aggregated_metrics( expr.convert_to_float()).convert_to_quantity() example = copy.deepcopy(er_example_step1) example['status']['analysis']["aggregatedMetrics"] = resp expr = ExperimentResource(** example) resp2 = get_version_assessments(expr.convert_to_float()) assert resp2.data == {'default': [False], 'canary': [False]} def test_v2_va_without_mean_latency_metric(): example = copy.deepcopy(er_example_step1) example['status']['analysis']['aggregatedMetrics']["data"].pop( 'mean-latency', None) expr = ExperimentResource(** example) resp = get_version_assessments(expr.convert_to_float()) assert resp.message == \ "Error: ; Warning: Aggregated metric object for mean-latency metric is unavailable.; Info: " def test_v2_canary_passing_criteria(): example = copy.deepcopy(er_example_step1) example['spec']['criteria']['objectives'][0]['upperLimit'] = 500 expr = ExperimentResource(** example) resp = get_version_assessments(expr.convert_to_float()) assert resp.data == {'default': [True], 'canary': [True]} def test_v2_canary_failing_upperlimit_criteria(): expr = ExperimentResource(** er_example_step1) resp = get_version_assessments(expr.convert_to_float()) assert resp.data == {'default': [True], 'canary': [False]} def test_v2_canary_failing_lowerlimit_criteria(): example = copy.deepcopy(er_example_step1) example['spec']['criteria']['objectives'][0].pop('upperLimit') example['spec']['criteria']['objectives'][0]['lowerLimit'] = 500 expr = ExperimentResource(** example) resp = get_version_assessments(expr.convert_to_float()) assert resp.data == {'default': [False], 'canary': [False]} def test_v2_canary_is_winner(): example = copy.deepcopy(er_example_step2) example['status']['analysis']['versionAssessments'] = { "data": { "default": [ True ], "canary": [ True ] }, "message": "All ok" } expr = ExperimentResource(** example) resp = get_winner_assessment(expr.convert_to_float()) assert resp.data.winnerFound == wa_response['data']['winnerFound'] assert resp.data.winner == wa_response['data']['winner'] def test_v2_analytics_assessment_conformance_winner(): example = copy.deepcopy(er_example_step2) example['status']['analysis']['versionAssessments'] = { "data": { "default": [ True ] }, "message": "All ok" } del example['spec']['versionInfo']['candidates'] example['spec']['strategy']['testingPattern'] = 'Conformance' expr = ExperimentResource(** example) resp = get_winner_assessment(expr.convert_to_float()) assert resp.data.winnerFound is True assert resp.data.winner == 'default' def test_v2_default_is_winner(): example = copy.deepcopy(er_example_step2) example['status']['analysis']['versionAssessments'] = { "data": { "default": [ True ], "canary": [ False ] }, "message": "All ok" } expr = ExperimentResource(** example) resp = get_winner_assessment(expr.convert_to_float()) assert resp.data.winnerFound == wa_response['data']['winnerFound'] assert resp.data.winner == 'default' def test_v2_no_winner(): example = copy.deepcopy(er_example_step2) example['status']['analysis']['versionAssessments'] = { "data": { "default": [ False ], "canary": [ False ] }, "message": "All ok" } expr = ExperimentResource(** example) resp = get_winner_assessment(expr.convert_to_float()) assert resp.data.winnerFound is False def test_v2_weights_with_winner(): expr = ExperimentResource(** er_example_step3) resp = get_weights(expr.convert_to_float()) expected_resp = [ VersionWeight(name="default", value=5), VersionWeight(name="canary", value=95) ] assert resp.data == expected_resp def test_v2_weights_with_no_winner(): example = copy.deepcopy(er_example_step3) example['status']['analysis']['winnerAssessment']['data'] = { "winnerFound": False } expr = ExperimentResource(** example) resp = get_weights(expr.convert_to_float()) assert resp.data == w_response['data'] def test_v2_inc_old_weights_and_best_versions_and_canary_winner(): example = copy.deepcopy(er_example_step3) example['status']['currentWeightDistribution'] = [{ "name": "default", "value": 70 }, { "name": "canary", "value": 30 }] expected_resp = [{ "name": "default", "value": 5 }, { "name": "canary", "value": 95 }] expr = ExperimentResource(** example) resp = get_weights(expr.convert_to_float()) assert resp.data == expected_resp def test_v2_inc_old_weights_and_no_best_versions(): example = copy.deepcopy(er_example_step3) example['status']['currentWeightDistribution'] = [{ "name": "default", "value": 50 }, { "name": "canary", "value": 50 }] example["status"]["analysis"]["winnerAssessment"]["data"] = { "winnerFound": False } expected_resp = [{ "name": "default", "value": 95 }, { "name": "canary", "value": 5 }] expr = ExperimentResource(** example) resp = get_weights(expr.convert_to_float()) assert resp.data == expected_resp def test_v2_set_weights_config(): example = copy.deepcopy(er_example_step3) example['status']['currentWeightDistribution'] = [{ "name": "default", "value": 50 }, { "name": "canary", "value": 50 }] example['spec']['strategy']['weights'] = { "maxCandidateWeight": 53, "maxCandidateWeightIncrement": 2, "algorithm": 'Progressive' } expected_resp = [{ "name": "default", "value": 48 }, { "name": "canary", "value": 52 }] expr = ExperimentResource(** example) resp = get_weights(expr.convert_to_float()) assert resp.data == expected_resp def test_v2_using_previous_metric_status(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_no_response.json') mock.get(er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(er_example_step1) example['status']['metrics'] = mr_example expr = ExperimentResource(** example) resp = get_aggregated_metrics( expr.convert_to_float()).convert_to_quantity() expected_response = copy.deepcopy(am_response) assert resp.data['mean-latency'].data['default'].value == \ expected_response['data']['mean-latency']['data']['default']['value'] ########## A/B TESTS ############# def test_v2_ab_input_object(): ExperimentResource(** ab_er_example) ExperimentResource(** ab_er_example_step1) ExperimentResource(** ab_er_example_step2) ExperimentResource(** ab_er_example_step3) def test_experiment_ab_response_objects(): AggregatedMetricsAnalysis(** ab_am_response) VersionAssessmentsAnalysis(** ab_va_response) WinnerAssessmentAnalysis(** ab_wa_response) WeightsAnalysis(** ab_w_response) def test_v2_ab_aggregated_metrics_endpoint(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') response_json = json.load(open(file_path)) mock.get(ab_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=response_json) expr = ExperimentResource(** ab_er_example) agm = get_aggregated_metrics( expr.convert_to_float()).convert_to_quantity() assert agm.data['request-count'].data['default'].value == \ response_json['data']['result'][0]['value'][1] def test_v2_ab_version_assessment_endpoint(): expr = ExperimentResource(** ab_er_example_step1) get_version_assessments(expr.convert_to_float()) def test_v2_ab_winner_assessment_endpoint(): expr = ExperimentResource(** ab_er_example_step2) get_winner_assessment(expr.convert_to_float()) def test_v2_ab_weights_endpoint(): expr = ExperimentResource(** ab_er_example_step3) get_weights(expr.convert_to_float()) def test_v2_ab_analytics_assessment_endpoint(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(ab_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) expr = ExperimentResource(** ab_er_example) get_analytics_results(expr.convert_to_float()).convert_to_quantity() def test_v2_ab_am_without_candidates(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(ab_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(ab_er_example) del example['spec']['versionInfo']['candidates'] expr = ExperimentResource(** example) get_aggregated_metrics(expr.convert_to_float()).convert_to_quantity() def test_v2_ab_analytics_assessment_conformance(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(ab_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(ab_er_example) del example['spec']['versionInfo']['candidates'] example['spec']['strategy']['testingPattern'] = 'Conformance' expr = ExperimentResource(** example) get_analytics_results(expr.convert_to_float()).convert_to_quantity() def test_conformance_without_objectives(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(ab_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(ab_er_example) del example['spec']['versionInfo']['candidates'] del example['spec']['criteria']['objectives'] del example['spec']['criteria']['rewards'] example['spec']['strategy']['testingPattern'] = 'Conformance' expr = ExperimentResource(** example) get_analytics_results(expr.convert_to_float()).convert_to_quantity() def test_v2_ab_version_assessment_conformance(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(ab_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(ab_er_example) del example['spec']['versionInfo']['candidates'] example['spec']['strategy']['testingPattern'] = 'Conformance' expr = ExperimentResource(** example) resp = get_analytics_results( expr.convert_to_float()).convert_to_quantity() assert resp.version_assessments.data == {'default': [True]} def test_v2_ab_va_without_am(): expr = ExperimentResource(** ab_er_example) try: get_version_assessments(expr.convert_to_float()) except AttributeError: pass def test_v2_ab_wa_without_va(): expr = ExperimentResource(** ab_er_example) try: get_winner_assessment(expr.convert_to_float()) except AttributeError: pass def test_v2_ab_w_without_wa(): expr = ExperimentResource(** ab_er_example) try: get_weights(expr.convert_to_float()) except AttributeError: pass def test_v2_ab_without_reward(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(ab_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(ab_er_example) del example['spec']['criteria']['rewards'] expr = ExperimentResource(** example) resp = get_analytics_results( expr.convert_to_float()).convert_to_quantity() assert "No reward metric in experiment" in resp.winner_assessment.message assert resp.winner_assessment.data.winnerFound is False def test_v2_ab_without_reward_metric_config(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(ab_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(ab_er_example) del example["status"]["metrics"][2] expr = ExperimentResource(** example) resp = get_analytics_results( expr.convert_to_float()).convert_to_quantity() assert "reward metric values are not available" in \ resp.winner_assessment.message assert resp.winner_assessment.data.winnerFound is False def test_v2_ab_without_reward_for_feasible_version(): example = copy.deepcopy(ab_er_example_step2) del example['status']['analysis']['aggregatedMetrics']['data']['business-revenue']['data']['canary'] expr = ExperimentResource(** example) resp = get_winner_assessment(expr.convert_to_float()) assert "reward value for feasible version canary is not available" in \ resp.message def test_v2_ab_using_previous_metric_status(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_no_response.json') mock.get(ab_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(ab_er_example_step1) example['status']['metrics'] = ab_mr_example[:2] expr = ExperimentResource(** example) resp = get_aggregated_metrics( expr.convert_to_float()).convert_to_quantity() expected_response = copy.deepcopy(ab_am_response) assert resp.data['mean-latency'].data['default'].value == \ expected_response['data']['mean-latency']['data']['default']['value'] ########## A/B/N TESTS ############# def test_v2_abn_input_object(): ExperimentResource(** abn_er_example) ExperimentResource(** abn_er_example_step1) ExperimentResource(** abn_er_example_step2) ExperimentResource(** abn_er_example_step3) def test_experiment_abn_response_objects(): AggregatedMetricsAnalysis(** abn_am_response) VersionAssessmentsAnalysis(** abn_va_response) WinnerAssessmentAnalysis(** abn_wa_response) WeightsAnalysis(** abn_w_response) def test_v2_abn_aggregated_metrics_endpoint(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') response_json = json.load(open(file_path)) mock.get(abn_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=response_json) expr = ExperimentResource(** abn_er_example) agm = get_aggregated_metrics( expr.convert_to_float()).convert_to_quantity() assert agm.data['request-count'].data['default'].value == \ response_json['data']['result'][0]['value'][1] def test_v2_abn_version_assessment_endpoint(): expr = ExperimentResource(** abn_er_example_step1) get_version_assessments(expr.convert_to_float()) def test_v2_abn_winner_assessment_endpoint(): expr = ExperimentResource(** abn_er_example_step2) get_winner_assessment(expr.convert_to_float()) def test_v2_abn_weights_endpoint(): expr = ExperimentResource(** abn_er_example_step3) get_weights(expr.convert_to_float()) def test_v2_abn_analytics_assessment_endpoint(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(abn_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) expr = ExperimentResource(** abn_er_example) get_analytics_results(expr.convert_to_float()).convert_to_quantity() def test_v2_abn_am_without_candidates(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(abn_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(abn_er_example) del example['spec']['versionInfo']['candidates'] expr = ExperimentResource(** example) get_aggregated_metrics(expr.convert_to_float()).convert_to_quantity() def test_v2_abn_analytics_assessment_conformance(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(abn_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(abn_er_example) del example['spec']['versionInfo']['candidates'] example['spec']['strategy']['testingPattern'] = 'Conformance' expr = ExperimentResource(** example) get_analytics_results(expr.convert_to_float()).convert_to_quantity() def test_v2_abn_version_assessment_conformance(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(abn_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(abn_er_example) del example['spec']['versionInfo']['candidates'] example['spec']['strategy']['testingPattern'] = 'Conformance' expr = ExperimentResource(** example) resp = get_analytics_results( expr.convert_to_float()).convert_to_quantity() assert resp.version_assessments.data == {'default': [True]} def test_v2_abn_va_without_am(): expr = ExperimentResource(** abn_er_example) try: get_version_assessments(expr.convert_to_float()) except AttributeError: pass def test_v2_abn_wa_without_va(): expr = ExperimentResource(** abn_er_example) try: get_winner_assessment(expr.convert_to_float()) except AttributeError: pass def test_v2_abn_w_without_wa(): expr = ExperimentResource(** abn_er_example) try: get_weights(expr.convert_to_float()) except AttributeError: pass def test_v2_abn_without_reward(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(abn_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(abn_er_example) del example['spec']['criteria']['rewards'] expr = ExperimentResource(** example) resp = get_analytics_results( expr.convert_to_float()).convert_to_quantity() assert "No reward metric in experiment" in \ resp.winner_assessment.message assert resp.winner_assessment.data.winnerFound is False def test_v2_abn_without_reward_metric_config(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_response.json') mock.get(abn_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(abn_er_example) del example["status"]["metrics"][2] expr = ExperimentResource(** example) resp = get_analytics_results( expr.convert_to_float()).convert_to_quantity() assert "reward metric values are not available" in \ resp.winner_assessment.message assert resp.winner_assessment.data.winnerFound is False def test_v2_abn_general(): example = copy.deepcopy(abn_er_example_step2) expr = ExperimentResource(** example) resp = get_winner_assessment(expr.convert_to_float()) assert resp.data.winnerFound is True assert resp.data.winner == 'canary1' def test_v2_abn_without_reward_for_feasible_version(): example = copy.deepcopy(abn_er_example_step2) del example['status']['analysis']['aggregatedMetrics']['data']['business-revenue']['data']['canary1'] expr = ExperimentResource(** example) resp = get_winner_assessment(expr.convert_to_float()) assert "reward value for feasible version canary1 is not available" in \ resp.message assert resp.data.winnerFound is True assert resp.data.winner == 'canary2' def test_v2_abn_with_better_reward_but_not_feasible(): example = copy.deepcopy(abn_er_example_step2) example['status']['analysis']['versionAssessments']['data']['canary1'] = [False] expr = ExperimentResource(** example) resp = get_winner_assessment(expr.convert_to_float()) assert resp.data.winnerFound is True assert resp.data.winner == 'canary2' def test_v2_abn_using_previous_metric_status(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_no_response.json') mock.get(abn_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(abn_er_example_step1) example['status']['metrics'] = abn_mr_example[:2] expr = ExperimentResource(** example) resp = get_aggregated_metrics( expr.convert_to_float()).convert_to_quantity() expected_response = copy.deepcopy(abn_am_response) assert resp.data['mean-latency'].data['default'].value == \ expected_response['data']['mean-latency']['data']['default']['value'] def test_v2_abn_using_previous_metric_status_none(): with requests_mock.mock(real_http=True) as mock: file_path = os.path.join(os.path.dirname(__file__), 'data/prom_responses', 'prometheus_sample_no_response.json') mock.get(abn_er_example["status"]["metrics"][0]["metricObj"] ["spec"]["urlTemplate"], json=json.load(open(file_path))) example = copy.deepcopy(abn_er_example) example['status']['metrics'] = abn_mr_example[:2] expr = ExperimentResource(** example) resp = get_aggregated_metrics( expr.convert_to_float()).convert_to_quantity() assert resp.data['mean-latency'].data['default'].value is None

40.257988

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0.222412

34,018

845

106

40.257988

0.776652

0.004674

0

0.700428

0

0.150929

0.027393

0

0.068474

1

0.097004

false

0.014265

0.019971

0

0.116976

0

null

0

1

0

1

0

null

0

7

b8dd8f09e8ad8713dd3752632307a9ae40b94614

261

py

Python

chainer/dataset/tabular/__init__.py

zaltoprofen/chainer

3b03f9afc80fd67f65d5e0395ef199e9506b6ee1

[ "MIT" ]

2

2019-08-12T21:48:04.000Z

2020-08-27T18:04:20.000Z

chainer/dataset/tabular/__init__.py

zaltoprofen/chainer

3b03f9afc80fd67f65d5e0395ef199e9506b6ee1

[ "MIT" ]

null

chainer/dataset/tabular/__init__.py

zaltoprofen/chainer

3b03f9afc80fd67f65d5e0395ef199e9506b6ee1

[ "MIT" ]

null

from chainer.dataset.tabular import _as_mode # NOQA from chainer.dataset.tabular import _concat # NOQA from chainer.dataset.tabular import _join # NOQA from chainer.dataset.tabular import _slice # NOQA from chainer.dataset.tabular import _transform # NOQA

43.5

54

0.808429

36

261

5.694444

0.333333

0.268293

0.439024

0.609756

0.834146

0.682927

0

0.1341

261

5

55

52.2

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0.091954

0

1

0

true

0

1

0

1

0

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0

1

0

null

0

1

0

1

0

1

0

8

b8ddd14a7c93587eee3486c15ad5c3cbf9169c62

55,557

py

Python

jollof/sell.py

bluman1/jollofbot

1e679e8cd7e559809379d9a29b9ec0c5f273ea8d

[ "MIT" ]

2

2017-05-24T02:20:47.000Z

2017-06-14T18:53:02.000Z

jollof/sell.py

bluman1/jollofbot

1e679e8cd7e559809379d9a29b9ec0c5f273ea8d

[ "MIT" ]

null

jollof/sell.py

bluman1/jollofbot

1e679e8cd7e559809379d9a29b9ec0c5f273ea8d

[ "MIT" ]

null

import os import requests import json import geopy.distance from pprint import pprint from jollof.models import * class Sell(object): def __init__(self): self.SELLER_ACCESS_TOKEN = os.environ.get('SELLER_ACCESS_TOKEN') self.DELIVER_ACCESS_TOKEN = os.environ.get('DELIVER_ACCESS_TOKEN') self.BUYER_ACCESS_TOKEN = os.environ.get('BUYER_ACCESS_TOKEN') self.BLUMAN_ID = os.environ.get('BLUMAN_ID') self.NEAREST_KM = os.environ.get('NEAREST_KM') def get_started_button(self): headers = { 'Content-Type': 'application/json', } params = ( ('access_token', self.SELLER_ACCESS_TOKEN), ) data = '{"get_started":{"payload":"GET_STARTED"}}' response = requests.post('https://graph.facebook.com/v2.6/me/messenger_profile', headers=headers, params=params, data=data) pprint(response.json()) def persistent_menu(self): headers = { 'Content-Type': 'application/json', } params = ( ('access_token', self.SELLER_ACCESS_TOKEN), ) data = """{ "persistent_menu":[ { "locale":"default", "composer_input_disabled":false, "call_to_actions":[ { "title":"Jollof Orders", "type":"nested", "call_to_actions":[ { "title":"Pending Jollof Deliveries", "type":"postback", "payload":"JOLLOF_PENDING_DELIVERIES" }, { "title":"Pending Jollof Reservations", "type":"postback", "payload":"JOLLOF_PENDING_RESERVATIONS" }, { "title":"Accepted Jollof Deliveries", "type":"postback", "payload":"JOLLOF_ACCEPTED_DELIVERIES" }, { "title":"Accepted Jollof Reservations", "type":"postback", "payload":"JOLLOF_ACCEPTED_RESERVATIONS" } ] }, { "title":"Delicacy Orders", "type":"nested", "call_to_actions":[ { "title":"Pending Delicacy Deliveries", "type":"postback", "payload":"DELICACY_PENDING_DELIVERIES" }, { "title":"Pending Delicacy Reservations", "type":"postback", "payload":"DELICACY_PENDING_RESERVATIONS" }, { "title":"Accepted Delicacy Deliveries", "type":"postback", "payload":"DELICACY_ACCEPTED_DELIVERIES" }, { "title":"Accepted Delicacy Reservations", "type":"postback", "payload":"DELICACY_ACCEPTED_RESERVATIONS" } ] } ] } ] }""" response = requests.post('https://graph.facebook.com/v2.6/me/messenger_profile', headers=headers, params=params, data=data) pprint(response.json()) def get_distance(self, coords1, coords2): distance = geopy.distance.vincenty(coords1, coords2).km pprint('Distance: ' + str(distance)) return distance def get_user_details(self, fbid): user_details_url = "https://graph.facebook.com/v2.6/%s"%fbid user_details_params = {'fields':'first_name,last_name,profile_pic', 'access_token':self.SELLER_ACCESS_TOKEN} user_details = requests.get(user_details_url, user_details_params).json() return user_details def get_directions(self, origin_lat, origin_long, dest_lat, dest_long): return 'https://www.google.com/maps/dir/' + str(origin_lat) + ',' + str(origin_long) + '/' + str(dest_lat) + ',' + str(dest_long) + '/' def text_message(self, fbid, msg): try: seller = Profile.objects.get(fbid=fbid) if '{{user_first_name}}' in msg: msg = msg.replace('{{user_first_name}}', seller.user.first_name) except Profile.DoesNotExist: msg = msg.replace('{{user_first_name}}', 'Jollof Creator') print(msg) headers = { 'Content-Type': 'application/json; charset=utf-8', } params = ( ('access_token', self.SELLER_ACCESS_TOKEN), ) data = {"recipient": {"id": str(fbid)},"message": {"text": str(msg)}} data = json.dumps(data).encode("utf-8") response = requests.post('https://graph.facebook.com/v2.6/me/messages', headers=headers, params=params, data=data) pprint(response.json()) def text_buyer(self, fbid, msg): headers = { 'Content-Type': 'application/json; charset=utf-8', } params = ( ('access_token', os.environ.get('BUYER_ACCESS_TOKEN')), ) data = {"recipient": {"id": str(fbid)},"message": {"text": str(msg)}} data = json.dumps(data).encode("utf-8") response = requests.post('https://graph.facebook.com/v2.6/me/messages', headers=headers, params=params, data=data) pprint(response.json()) def cancel_action(self, fbid, payload): seller = Profile.objects.get(fbid=fbid) seller.current_state = 'DEFAULT' seller.save() msg = 'I\'ve cancelled that action.' self.text_message(fbid, msg) def request_location(self, fbid): headers = { 'Content-Type': 'application/json', } params = ( ('access_token', self.SELLER_ACCESS_TOKEN), ) data = '{"recipient":{"id":"' + str(fbid) + '"},"message":{"text":"Please share your location with me.","quick_replies":[{"content_type":"location"}]}}' response = requests.post('https://graph.facebook.com/v2.6/me/messages', headers=headers, params=params, data=data) pprint(response.json()) def process_code(self, fbid, jollof_code): try: seller = Profile.objects.get(code=jollof_code) seller.fbid = fbid seller.current_state = 'VENDOR_LOCATION' seller.save() msg = 'Nice having you here ' + seller.restaurant + ' :)' self.text_message(fbid, msg) self.request_location(fbid) return except Profile.DoesNotExist: msg = 'Sorry, the Jollof code you entered is incorrect. Please double check and enter again.' self.text_message(fbid, msg) return def save_location(self, fbid, payload, location_title=None, location_url=None, location_lat=None, location_long=None): if payload == 'CANCELLED': self.cancel_action(fbid, payload) elif location_lat: # save location_lat and location_long seller = Profile.objects.get(fbid=fbid) seller.longitude = float(location_long) seller.latitude = float(location_lat) print('Lat: ' + str(float(location_lat)) + ' Long: ' + str(float(location_long))) seller.current_state = 'DEFAULT' seller.save() self.text_message(fbid, 'Great! Now you can receive order and reservation updates!') self.text_message(fbid, 'Please use the menu options to view pending and accepted orders/reservations.') return def jollof_pending_deliveries(self, fbid, payload): if 'JOLLOF_PENDING_DELIVERIES_' in payload: seller = Profile.objects.get(fbid=fbid) payload_list = payload.split('_') jollof_delivery_pk = int(payload_list[3]) jollof_action = int(payload_list[4]) jollof_order = JollofOrder.objects.get(pk=jollof_delivery_pk) if jollof_action == 1: #seller accepted order buyer = Profile.objects.get(pk=int(jollof_order.jollof_buyer.pk)) if jollof_order.status != 0: msg = 'You can no longer accept this order.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return jollof_order.status = 1 jollof_order.save() msg = 'Great news! ' + seller.restaurant + ' has accepted your order and it has been broadcasted to The Flash. I will let you know once they have picked it up. Remember your order code is ' + jollof_order.code + ' :D' self.text_buyer(buyer.fbid, msg) seller.current_state = 'DEFAULT' seller.save() msg = 'You have accepted to deliver ' + buyer.user.first_name + '\'s Jollof and they have been notified.' self.text_message(fbid, msg) # broadcast to flash for acceptance avalaible_flash = Profile.objects.filter(user_type='f').filter(available=True) for flash in avalaible_flash: # check if flash doesn't have any order to fufill flash_jollof_order = JollofOrder.objects.filter(jollof_flash=flash) flash_busy = False for flash_jollof in flash_jollof_order: if flash_jollof.flash_status > 0 and flash_jollof.flash_status < 4: # flash is currently busy flash_busy = True break if flash_busy: continue flash_delicacy_order = DelicacyOrder.objects.filter(delicacy_flash=flash) for flash_delicacy in flash_delicacy_order: if flash_delicacy.flash_status > 0 and flash_delicacy.flash_status < 4: # flash is currently busy flash_busy = True break if flash_busy: continue # flash not busy, check if flash in proximity of restaurant. distance = self.get_distance((flash.latitude, flash.longitude), (jollof_order.jollof_seller.latitude, jollof_order.jollof_seller.longitude)) if distance >= float(self.NEAREST_KM): # flash not in range. continue # flash not busy, check if flash in proximity of buyer. distance = self.get_distance((flash.latitude, flash.longitude), (jollof_order.jollof_buyer.latitude, jollof_order.jollof_buyer.longitude)) if distance >= float(self.NEAREST_KM): # flash not in range. continue # flash is free and in range headers = { 'Content-Type': 'application/json', } params = ( ('access_token', self.DELIVER_ACCESS_TOKEN), ) data = '''{ "recipient":{ "id":"USER_ID" }, "message":{ "attachment":{ "type":"template", "payload":{ "template_type":"button", "text":"You have a Jollof delivery from REST to FULL_NAME with order code ORDER_CODE. ", "buttons":[ { "type":"postback", "title":"Accept To Deliver", "payload":"PAYLOAD" } ] } } } }''' data = data.replace('FULL_NAME', buyer.user.first_name + ' ' + buyer.user.last_name) data = data.replace('USER_ID', flash.fbid) data = data.replace('REST', jollof_order.jollof_seller.restaurant) data = data.replace('ORDER_CODE', jollof_order.code) data = data.replace('PAYLOAD', 'ACCEPT_PENDING_JOLLOF_' + str(jollof_order.pk)) pprint(str(data)) data = json.dumps(json.loads(data)).encode('utf-8') response = requests.post('https://graph.facebook.com/v2.6/me/messages', headers=headers, params=params, data=data) pprint(response.json()) elif jollof_action == 2: # seller rejected order. if jollof_order.status != 0: msg = 'You can no longer reject this order.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return jollof_order.status = 2 jollof_order.save() msg = 'You have rejected the order. I hope all is well with your Jollof.' self.text_message(fbid, msg) buyer = Profile.objects.get(pk=int(jollof_order.jollof_buyer.pk)) msg = 'Oh shucks! ' + seller.restaurant + ' will not be able to get you your Jollof :( Just say Jollof! to find other places near you.' self.text_buyer(buyer.fbid, msg) else: seller = Profile.objects.get(fbid=fbid) jollof_orders = JollofOrder.objects.filter(jollof_seller=seller).filter(order_type=2).filter(status=0) if jollof_orders.count() < 1: msg = 'You have no pending jollof deliveries right now. I will send you updates in real-time.' self.text_message(fbid, msg) else: count = 0 generic_sellers = '{"recipient":{"id":"'+str(fbid)+'"},"message":{"attachment":{"type":"template","payload":{"template_type":"generic","elements":[' generic_ending = ']}}}}' generic_elements = '' for jollof_order in jollof_orders: if count >= 10: break count += 1 buyer = Profile.objects.get(pk=int(jollof_order.jollof_buyer.pk)) img_link = 'http://via.placeholder.com/350x350' generic_title = buyer.user.first_name + ' wants your Jollof delivered!' generic_subtitle = 'Order Code: ' + jollof_order.code accept_order_payload = 'JOLLOF_PENDING_DELIVERIES_' + str(jollof_order.pk) + '_1' reject_order_payload = 'JOLLOF_PENDING_DELIVERIES_' + str(jollof_order.pk) + '_2' generic_elements += '{"title":"'+str(generic_title)+'","image_url":"'+str(img_link)+'","subtitle":"'+str(generic_subtitle)+'.","buttons":[{"type":"postback","title":"Accept Order","payload":"'+str(accept_order_payload)+'"},{"type":"postback","payload":"'+str(reject_order_payload)+'","title":"Reject Order"}]},' #Remove trailing comma generic_elements = generic_elements[:-1] generic_message = generic_sellers + generic_elements + generic_ending print('Generic message: ' + generic_message) headers = { 'Content-Type': 'application/json', } params = ( ('access_token', self.SELLER_ACCESS_TOKEN), ) response = requests.post('https://graph.facebook.com/v2.6/me/messages', headers=headers, params=params, data=generic_message) pprint(response.json()) return def jollof_pending_reservations(self, fbid, payload): if 'JOLLOF_PENDING_RESERVATIONS_' in payload: seller = Profile.objects.get(fbid=fbid) payload_list = payload.split('_') jollof_delivery_pk = int(payload_list[3]) jollof_action = int(payload_list[4]) jollof_order = JollofOrder.objects.get(pk=jollof_delivery_pk) if jollof_action == 1: #seller accepted reservation buyer = Profile.objects.get(pk=int(jollof_order.jollof_buyer.pk)) if jollof_order.status != 0: msg = 'You can no longer accept this reservation.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return jollof_order.status = 1 jollof_order.save() msg = 'Great news! ' + seller.restaurant + ' have accepted your reservation and they are waiting for you with your jollof!. Remember your order code is ' + jollof_order.code + ' :D' self.text_buyer(buyer.fbid, msg) seller.current_state = 'DEFAULT' seller.save() msg = 'You have accepted ' + buyer.user.first_name + '\'s reservation for Jollof and they have been notified. They will be at your restaurant soon with their order code: ' + jollof_order.code self.text_message(fbid, msg) elif jollof_action == 2: # seller rejected order. if jollof_order.status != 0: msg = 'You can no longer reject this reservation.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return jollof_order.status = 2 jollof_order.save() msg = 'You have rejected the reservation. I hope all is well with your Jollof and your restaurant.' self.text_message(fbid, msg) buyer = Profile.objects.get(pk=int(jollof_order.jollof_buyer.pk)) msg = 'Oh shucks! ' + seller.restaurant + ' will not be able to set up a jollof reservation for you :( Say Jollof! to find other places near you.' self.text_buyer(buyer.fbid, msg) else: seller = Profile.objects.get(fbid=fbid) jollof_orders = JollofOrder.objects.filter(jollof_seller=seller).filter(order_type=1).filter(status=0) if jollof_orders.count() < 1: msg = 'You have no pending jollof reservations right now. I will send you updates in real-time.' self.text_message(fbid, msg) else: count = 0 generic_sellers = '{"recipient":{"id":"'+str(fbid)+'"},"message":{"attachment":{"type":"template","payload":{"template_type":"generic","elements":[' generic_ending = ']}}}}' generic_elements = '' for jollof_order in jollof_orders: if count >= 10: break count += 1 buyer = Profile.objects.get(pk=int(jollof_order.jollof_buyer.pk)) img_link = 'http://via.placeholder.com/350x350' generic_title = buyer.user.first_name + ' is requesting a Jollof reservation!' generic_subtitle = 'Order Code: ' + jollof_order.code accept_order_payload = 'JOLLOF_PENDING_RESERVATIONS_' + str(jollof_order.pk) + '_1' reject_order_payload = 'JOLLOF_PENDING_RESERVATIONS_' + str(jollof_order.pk) + '_2' generic_elements += '{"title":"'+str(generic_title)+'","image_url":"'+str(img_link)+'","subtitle":"'+str(generic_subtitle)+'.","buttons":[{"type":"postback","title":"Accept Reservation","payload":"'+str(accept_order_payload)+'"},{"type":"postback","payload":"'+str(reject_order_payload)+'","title":"Reject Reservation"}]},' #Remove trailing comma generic_elements = generic_elements[:-1] generic_message = generic_sellers + generic_elements + generic_ending print('Generic message: ' + generic_message) headers = { 'Content-Type': 'application/json', } params = ( ('access_token', self.SELLER_ACCESS_TOKEN), ) response = requests.post('https://graph.facebook.com/v2.6/me/messages', headers=headers, params=params, data=generic_message) pprint(response.json()) return def jollof_accepted_deliveries(self, fbid, payload): if 'JOLLOF_ACCEPTED_DELIVERIES_' in payload: seller = Profile.objects.get(fbid=fbid) payload_list = payload.split('_') jollof_delivery_pk = int(payload_list[3]) jollof_action = int(payload_list[4]) jollof_order = JollofOrder.objects.get(pk=jollof_delivery_pk) if jollof_action == 1: #seller completed order buyer = Profile.objects.get(pk=int(jollof_order.jollof_buyer.pk)) if jollof_order.status != 1: msg = 'You can no longer complete this order.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return if jollof_order.flash_status != 3: msg = 'The Flash must mark this order as Picked Up first before you can complete it.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return jollof_order.status = 4 jollof_order.save() msg = seller.restaurant + ' just marked your delivery as completed! Sit tight. The Flash will be there soon :D' self.text_buyer(buyer.fbid, msg) seller.vendor_balance += delicacy_order.delicacy.price seller.month_orders += 1 seller.current_state = 'DEFAULT' seller.save() msg = 'You have marked ' + buyer.user.first_name + '\'s Jollof delivery as completed and they have been notified. Sweet!' self.text_message(fbid, msg) msg = 'I have also updated your wallet balance on the dashboard. Keep making money!' self.text_message(fbid, msg) elif jollof_action == 2: # seller cancelled order. if jollof_order.status != 1: msg = 'You can no longer complete this order.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return jollof_order.status = 3 jollof_order.save() msg = 'You have cancelled the delivery. I hope all is well with your Jollof.' self.text_message(fbid, msg) buyer = Profile.objects.get(pk=int(jollof_order.jollof_buyer.pk)) msg = 'Oh shucks! ' + seller.restaurant + ' will not be able to deliver your Jollof. Seems like Ghanian goblins got their delivery guy. Say Jollof! to find other places near you.' self.text_buyer(buyer.fbid, msg) else: seller = Profile.objects.get(fbid=fbid) jollof_orders = JollofOrder.objects.filter(jollof_seller=seller).filter(order_type=2).filter(status=1) if jollof_orders.count() < 1: msg = 'You have not accepted to deliver any orders.' self.text_message(fbid, msg) else: count = 0 generic_sellers = '{"recipient":{"id":"'+str(fbid)+'"},"message":{"attachment":{"type":"template","payload":{"template_type":"generic","elements":[' generic_ending = ']}}}}' generic_elements = '' for jollof_order in jollof_orders: if count >= 10: break count += 1 buyer = Profile.objects.get(pk=int(jollof_order.jollof_buyer.pk)) img_link = 'http://via.placeholder.com/350x350' generic_title = buyer.user.first_name + ' wants your Jollof delivery completed!' generic_subtitle = 'Order Code: ' + jollof_order.code accept_order_payload = 'JOLLOF_ACCEPTED_DELIVERIES_' + str(jollof_order.pk) + '_1' reject_order_payload = 'JOLLOF_ACCEPTED_DELIVERIES_' + str(jollof_order.pk) + '_2' generic_elements += '{"title":"'+str(generic_title)+'","image_url":"'+str(img_link)+'","subtitle":"'+str(generic_subtitle)+'.","buttons":[{"type":"postback","title":"Complete Order","payload":"'+str(accept_order_payload)+'"},{"type":"postback","payload":"'+str(reject_order_payload)+'","title":"Cancel Order"}]},' #Remove trailing comma generic_elements = generic_elements[:-1] generic_message = generic_sellers + generic_elements + generic_ending print('Generic message: ' + generic_message) headers = { 'Content-Type': 'application/json', } params = ( ('access_token', self.SELLER_ACCESS_TOKEN), ) response = requests.post('https://graph.facebook.com/v2.6/me/messages', headers=headers, params=params, data=generic_message) pprint(response.json()) return def jollof_accepted_reservations(self, fbid, payload): if 'JOLLOF_ACCEPTED_RESERVATIONS_' in payload: seller = Profile.objects.get(fbid=fbid) payload_list = payload.split('_') jollof_delivery_pk = int(payload_list[3]) jollof_action = int(payload_list[4]) jollof_order = JollofOrder.objects.get(pk=jollof_delivery_pk) if jollof_action == 1: #seller completed reservation buyer = Profile.objects.get(pk=int(jollof_order.jollof_buyer.pk)) if jollof_order.status != 1: msg = 'You can no longer complete this reservation.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return jollof_order.status = 4 jollof_order.save() msg = 'Sweet! ' + seller.restaurant + ' just marked your reservation as completed. I hope you are enjoying your jollof :D' self.text_buyer(buyer.fbid, msg) seller.current_state = 'DEFAULT' seller.save() msg = 'You have marked ' + buyer.user.first_name + '\'s Jollof reservation as completed and they have been notified. Nice!' self.text_message(fbid, msg) elif jollof_action == 2: # seller cancelled order. if jollof_order.status != 1: msg = 'You can no longer complete this reservation.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return jollof_order.status = 3 jollof_order.save() buyer = Profile.objects.get(pk=int(jollof_order.jollof_buyer.pk)) msg = 'You have cancelled the reservation and ' + buyer.user.first_name + ' has been informed. I hope all is well with your Jollof.' self.text_message(fbid, msg) msg = 'I am so sorry right now but ' + seller.restaurant + ' will not be able to accept your jollof reservation. :( Say Jollof! to find other places near you.' self.text_buyer(buyer.fbid, msg) else: seller = Profile.objects.get(fbid=fbid) jollof_orders = JollofOrder.objects.filter(jollof_seller=seller).filter(order_type=1).filter(status=1) if jollof_orders.count() < 1: msg = 'You have not accepted any reservations for your jollof.' self.text_message(fbid, msg) else: count = 0 generic_sellers = '{"recipient":{"id":"'+str(fbid)+'"},"message":{"attachment":{"type":"template","payload":{"template_type":"generic","elements":[' generic_ending = ']}}}}' generic_elements = '' for jollof_order in jollof_orders: if count >= 10: break count += 1 buyer = Profile.objects.get(pk=int(jollof_order.jollof_buyer.pk)) img_link = 'http://via.placeholder.com/350x350' generic_title = buyer.user.first_name + ' wants their Jollof reservation completed!' generic_subtitle = 'Order Code: ' + jollof_order.code accept_order_payload = 'JOLLOF_ACCEPTED_RESERVATIONS_' + str(jollof_order.pk) + '_1' reject_order_payload = 'JOLLOF_ACCEPTED_RESERVATIONS_' + str(jollof_order.pk) + '_2' generic_elements += '{"title":"'+str(generic_title)+'","image_url":"'+str(img_link)+'","subtitle":"'+str(generic_subtitle)+'.","buttons":[{"type":"postback","title":"Complete Reservation","payload":"'+str(accept_order_payload)+'"},{"type":"postback","payload":"'+str(reject_order_payload)+'","title":"Cancel Reservation"}]},' #Remove trailing comma generic_elements = generic_elements[:-1] generic_message = generic_sellers + generic_elements + generic_ending print('Generic message: ' + generic_message) headers = { 'Content-Type': 'application/json', } params = ( ('access_token', self.SELLER_ACCESS_TOKEN), ) response = requests.post('https://graph.facebook.com/v2.6/me/messages', headers=headers, params=params, data=generic_message) pprint(response.json()) return def delicacy_pending_deliveries(self, fbid, payload): if 'DELICACY_PENDING_DELIVERIES_' in payload: seller = Profile.objects.get(fbid=fbid) payload_list = payload.split('_') delicacy_delivery_pk = int(payload_list[3]) delicacy_action = int(payload_list[4]) delicacy_order = DelicacyOrder.objects.get(pk=delicacy_delivery_pk) delicacy = Delicacy.objects.get(pk=int(delicacy_order.delicacy.pk)) if delicacy_action == 1: #seller accepted order buyer = Profile.objects.get(pk=int(delicacy_order.delicacy_buyer.pk)) if delicacy_order.status != 0: msg = 'You can no longer accept this order.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return delicacy_order.status = 1 delicacy_order.save() msg = seller.restaurant + ' just accepted your order for ' + delicacy.name + ' and are on their way to deliver it to you! You will get a phone call from them once they arrive. Remember your order code is ' + delicacy_order.code + ' :D' self.text_buyer(buyer.fbid, msg) seller.current_state = 'DEFAULT' seller.save() msg = 'You have accepted to deliver ' + buyer.user.first_name + '\'s ' + delicacy.name + ' delicacy and they have been notified.' self.text_message(fbid, msg) # broadcast to flash for acceptance avalaible_flash = Profile.objects.filter(user_type='f').filter(available=True) for flash in avalaible_flash: # check if flash doesn't have any order to fufill flash_jollof_order = JollofOrder.objects.filter(jollof_flash=flash) flash_busy = False for flash_jollof in flash_jollof_order: if flash_jollof.flash_status > 0 and flash_jollof.flash_status < 4: # flash is currently busy flash_busy = True break if flash_busy: continue flash_delicacy_order = DelicacyOrder.objects.filter(delicacy_flash=flash) for flash_delicacy in flash_delicacy_order: if flash_delicacy.flash_status > 0 and flash_delicacy.flash_status < 4: # flash is currently busy flash_busy = True break if flash_busy: continue # flash not busy, check if flash in proximity of restaurant. distance = self.get_distance((flash.latitude, flash.longitude), (delicacy_order.delicacy_seller.latitude, delicacy_order.delicacy_seller.longitude)) if distance >= float(self.NEAREST_KM): # flash not in range. continue # flash not busy, check if flash in proximity of buyer. distance = self.get_distance((flash.latitude, flash.longitude), (delicacy_order.delicacy_buyer.latitude, delicacy_order.delicacy_buyer.longitude)) if distance >= float(self.NEAREST_KM): # flash not in range. continue # flash is free and in range headers = { 'Content-Type': 'application/json', } params = ( ('access_token', self.SELLER_ACCESS_TOKEN), ) data = '''{ "recipient":{ "id":"USER_ID" }, "message":{ "attachment":{ "type":"template", "payload":{ "template_type":"button", "text":"You have a Delicacy delivery from REST to FULL_NAME with order code ORDER_CODE. DELICACY_INFO", "buttons":[ { "type":"postback", "title":"Accept To Deliver", "payload":"PAYLOAD" } ] } } } }''' data = data.replace('FULL_NAME', buyer.user.first_name + ' ' + buyer.user.last_name) data = data.replace('USER_ID', flash.fbid) data = data.replace('REST', delicacy_order.delicacy_seller.restaurant) data = data.replace('ORDER_CODE', delicacy_order.code) data = data.replace('PAYLOAD', 'ACCEPT_PENDING_JOLLOF_' + str(delicacy_order.pk)) data = data.replace('DELICACY_INFO', delicacy.name + '; ' + delicacy.description) pprint(str(data)) data = json.dumps(json.loads(data)).encode('utf-8') response = requests.post('https://graph.facebook.com/v2.6/me/messages', headers=headers, params=params, data=data) pprint(response.json()) elif delicacy_action == 2: # seller rejected order. if delicacy_order.status != 0: msg = 'You can no longer reject this order.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return delicacy_order.status = 2 delicacy_order.save() buyer = Profile.objects.get(pk=int(delicacy_order.delicacy_buyer.pk)) msg = 'You have rejected ' + buyer.user.first_name + '\'s' + ' order for ' + delicacy.name + '. I hope all is well with your restaurant.' self.text_message(fbid, msg) msg = 'Oh shucks! ' + seller.restaurant + ' will not be able to get you your ' + delicacy.name + ' Delicacy :( Say Jollof! to find other places near you.' self.text_buyer(buyer.fbid, msg) else: seller = Profile.objects.get(fbid=fbid) delicacy_orders = DelicacyOrder.objects.filter(delicacy_seller=seller).filter(order_type=2).filter(status=0) if delicacy_orders.count() < 1: msg = 'You have no pending delicacy deliveries right now. I will send you updates in real-time.' self.text_message(fbid, msg) else: count = 0 generic_sellers = '{"recipient":{"id":"'+str(fbid)+'"},"message":{"attachment":{"type":"template","payload":{"template_type":"generic","elements":[' generic_ending = ']}}}}' generic_elements = '' for delicacy_order in delicacy_orders: if count >= 10: break count += 1 buyer = Profile.objects.get(pk=int(delicacy_order.delicacy_buyer.pk)) delicacy = Delicacy.objects.get(pk=int(delicacy_order.delicacy.pk)) img_link = 'http://via.placeholder.com/350x350' generic_title = buyer.user.first_name + ' wants ' + delicacy.name + ' delivered!' generic_subtitle = 'Order Code: ' + delicacy_order.code accept_order_payload = 'DELICACY_PENDING_DELIVERIES_' + str(delicacy_order.pk) + '_1' reject_order_payload = 'DELICACY_PENDING_DELIVERIES_' + str(delicacy_order.pk) + '_2' generic_elements += '{"title":"'+str(generic_title)+'","image_url":"'+str(img_link)+'","subtitle":"'+str(generic_subtitle)+'.","buttons":[{"type":"postback","title":"Accept Order","payload":"'+str(accept_order_payload)+'"},{"type":"postback","payload":"'+str(reject_order_payload)+'","title":"Reject Order"}]},' #Remove trailing comma generic_elements = generic_elements[:-1] generic_message = generic_sellers + generic_elements + generic_ending print('Generic message: ' + generic_message) headers = { 'Content-Type': 'application/json', } params = ( ('access_token', self.SELLER_ACCESS_TOKEN), ) response = requests.post('https://graph.facebook.com/v2.6/me/messages', headers=headers, params=params, data=generic_message) pprint(response.json()) return def delicacy_pending_reservations(self, fbid, payload): if 'DELICACY_PENDING_RESERVATIONS_' in payload: seller = Profile.objects.get(fbid=fbid) payload_list = payload.split('_') delicacy_delivery_pk = int(payload_list[3]) delicacy_action = int(payload_list[4]) delicacy_order = DelicacyOrder.objects.get(pk=delicacy_delivery_pk) delicacy = Delicacy.objects.get(pk=int(delicacy_order.delicacy.pk)) if delicacy_action == 1: #seller accepted reservation buyer = Profile.objects.get(pk=int(delicacy_order.delicacy_buyer.pk)) if delicacy_order.status != 0: msg = 'You can no longer accept this reservation.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return delicacy_order.status = 1 delicacy_order.save() msg = 'Great news! ' + seller.restaurant + ' have accepted your reservation for ' + delicacy.name + ' at their restaurant!. Remember your order code is ' + delicacy_order.code + ' :D' self.text_buyer(buyer.fbid, msg) seller.current_state = 'DEFAULT' seller.save() msg = 'You have accepted ' + buyer.user.first_name + '\'s ' + delicacy.name + ' reservation and they have been notified. They will be at your restaurant soon with their order code: ' + jollof_order.code self.text_message(fbid, msg) elif delicacy_action == 2: # seller rejected order. if delicacy_order.status != 0: msg = 'You can no longer reject this reservation.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return delicacy_order.status = 2 delicacy_order.save() buyer = Profile.objects.get(pk=int(delicacy_order.delicacy_buyer.pk)) msg = 'You have rejected ' + buyer.user.first_name + '\'s ' + delicacy.name + ' reservation. I hope all is well with your restaurant.' self.text_message(fbid, msg) msg = 'Oh shucks! ' + seller.restaurant + ' will not be able to set up a reservation for ' + delicacy.name + ' :( Say Jollof! to find other places near you.' self.text_buyer(buyer.fbid, msg) else: seller = Profile.objects.get(fbid=fbid) delicacy_orders = DelicacyOrder.objects.filter(delicacy_seller=seller).filter(order_type=1).filter(status=0) if delicacy_orders.count() < 1: msg = 'You have no pending delicacy reservations right now. I will send you updates in real-time.' self.text_message(fbid, msg) else: count = 0 generic_sellers = '{"recipient":{"id":"'+str(fbid)+'"},"message":{"attachment":{"type":"template","payload":{"template_type":"generic","elements":[' generic_ending = ']}}}}' generic_elements = '' for delicacy_order in delicacy_orders: if count >= 10: break count += 1 buyer = Profile.objects.get(pk=int(delicacy_order.delicacy_buyer.pk)) delicacy = Delicacy.objects.get(pk=int(delicacy_order.delicacy.pk)) img_link = 'http://via.placeholder.com/350x350' generic_title = buyer.user.first_name + ' is requesting a reservation for ' + delicacy.name + '!' generic_subtitle = 'Order Code: ' + delicacy_order.code accept_order_payload = 'DELICACY_PENDING_RESERVATIONS_' + str(delicacy_order.pk) + '_1' reject_order_payload = 'DELICACY_PENDING_RESERVATIONS_' + str(delicacy_order.pk) + '_2' generic_elements += '{"title":"'+str(generic_title)+'","image_url":"'+str(img_link)+'","subtitle":"'+str(generic_subtitle)+'.","buttons":[{"type":"postback","title":"Accept Reservation","payload":"'+str(accept_order_payload)+'"},{"type":"postback","payload":"'+str(reject_order_payload)+'","title":"Reject Reservation"}]},' #Remove trailing comma generic_elements = generic_elements[:-1] generic_message = generic_sellers + generic_elements + generic_ending print('Generic message: ' + generic_message) headers = { 'Content-Type': 'application/json', } params = ( ('access_token', self.SELLER_ACCESS_TOKEN), ) response = requests.post('https://graph.facebook.com/v2.6/me/messages', headers=headers, params=params, data=generic_message) pprint(response.json()) return def delicacy_accepted_deliveries(self, fbid, payload): if 'DELICACY_ACCEPTED_DELIVERIES_' in payload: seller = Profile.objects.get(fbid=fbid) payload_list = payload.split('_') delicacy_delivery_pk = int(payload_list[3]) delicacy_action = int(payload_list[4]) delicacy_order = DelicacyOrder.objects.get(pk=delicacy_delivery_pk) delicacy = Delicacy.objects.get(pk=int(delicacy_order.delicacy.pk)) if delicacy_action == 1: #seller completed order buyer = Profile.objects.get(pk=int(delicacy_order.delicacy_buyer.pk)) if delicacy_order.status != 1: msg = 'You can no longer complete this order.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return if delicacy_order.flash_status != 3: msg = 'The Flash must mark this order as Picked Up first before you can complete it.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return delicacy_order.status = 4 seller.vendor_balance += delicacy_order.delicacy.price seller.month_orders += 1 delicacy_order.save() msg = seller.restaurant + ' just marked your delivery as completed! Sit tight. The Flash will be there soon :D' self.text_buyer(buyer.fbid, msg) seller.current_state = 'DEFAULT' seller.save() msg = 'You have marked ' + buyer.user.first_name + '\'s ' + delicacy.name + ' delivery as completed and they have been notified. Sweet!' self.text_message(fbid, msg) msg = 'I have also updated your wallet balance on the dashboard. Keep making money!' self.text_message(fbid, msg) elif delicacy_action == 2: # seller cancelled order. if delicacy_order.status != 1: msg = 'You can no longer cancel this order.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return delicacy_order.status = 3 delicacy_order.save() buyer = Profile.objects.get(pk=int(delicacy_order.delicacy_buyer.pk)) msg = 'You have cancelled ' + buyer.user.first_name + '\'s delivery of ' + delicacy.name + '. I hope all is well with your restaurant.' self.text_message(fbid, msg) msg = 'Oh shucks! ' + seller.restaurant + ' will not be able to deliver your ' + delicacy.name + '. Seems like Ghanaian goblins got their delivery guy. Say Jollof! to find other places near you.' self.text_buyer(buyer.fbid, msg) else: seller = Profile.objects.get(fbid=fbid) delicacy_orders = DelicacyOrder.objects.filter(delicacy_seller=seller).filter(order_type=2).filter(status=1) if delicacy_orders.count() < 1: msg = 'You have not accepted to deliver any orders.' self.text_message(fbid, msg) else: count = 0 generic_sellers = '{"recipient":{"id":"'+str(fbid)+'"},"message":{"attachment":{"type":"template","payload":{"template_type":"generic","elements":[' generic_ending = ']}}}}' generic_elements = '' for delicacy_order in delicacy_orders: if count >= 10: break count += 1 delicacy = Delicacy.objects.get(pk=int(delicacy_order.delicacy.pk)) buyer = Profile.objects.get(pk=int(delicacy_order.delicacy_buyer.pk)) img_link = 'http://via.placeholder.com/350x350' generic_title = buyer.user.first_name + ' wants your ' + delicacy.name + ' delivery completed!' generic_subtitle = 'Order Code: ' + delicacy_order.code accept_order_payload = 'DELICACY_ACCEPTED_DELIVERIES_' + str(delicacy_order.pk) + '_1' reject_order_payload = 'DELICACY_ACCEPTED_DELIVERIES_' + str(delicacy_order.pk) + '_2' generic_elements += '{"title":"'+str(generic_title)+'","image_url":"'+str(img_link)+'","subtitle":"'+str(generic_subtitle)+'.","buttons":[{"type":"postback","title":"Complete Order","payload":"'+str(accept_order_payload)+'"},{"type":"postback","payload":"'+str(reject_order_payload)+'","title":"Cancel Order"}]},' #Remove trailing comma generic_elements = generic_elements[:-1] generic_message = generic_sellers + generic_elements + generic_ending print('Generic message: ' + generic_message) headers = { 'Content-Type': 'application/json', } params = ( ('access_token', self.SELLER_ACCESS_TOKEN), ) response = requests.post('https://graph.facebook.com/v2.6/me/messages', headers=headers, params=params, data=generic_message) pprint(response.json()) return def delicacy_accepted_reservations(self, fbid, payload): if 'DELICACY_ACCEPTED_RESERVATIONS_' in payload: seller = Profile.objects.get(fbid=fbid) payload_list = payload.split('_') delicacy_delivery_pk = int(payload_list[3]) delicacy_action = int(payload_list[4]) delicacy_order = DelicacyOrder.objects.get(pk=delicacy_delivery_pk) if delicacy_action == 1: #seller completed reservation buyer = Profile.objects.get(pk=int(delicacy_order.delicacy_buyer.pk)) if delicacy_order.status != 1: msg = 'You can no longer complete this reservation.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return delicacy_order.status = 4 delicacy_order.save() msg = 'Sweet! ' + seller.restaurant + ' just marked your reservation as completed. I hope you are enjoying your delicacy :D' self.text_buyer(buyer.fbid, msg) seller.current_state = 'DEFAULT' seller.save() msg = 'You have marked ' + buyer.user.first_name + '\'s delicacy reservation as completed and they have been notified. Nice!' self.text_message(fbid, msg) elif delicacy_action == 2: # seller cancelled order. if delicacy_order.status != 1: msg = 'You can no longer cancel this reservation.' self.text_message(fbid, msg) seller.current_state = 'DEFAULT' seller.save() return delicacy_order.status = 3 delicacy_order.save() buyer = Profile.objects.get(pk=int(delicacy_order.jollof_buyer.pk)) msg = 'You have cancelled the reservation and ' + buyer.user.first_name + ' has been informed. I hope all is well with your restaurant.' self.text_message(fbid, msg) msg = 'I am so sorry right now but ' + seller.restaurant + ' will not be able to accept your delicacy reservation. :( Say Jollof! to find other places near you.' self.text_buyer(buyer.fbid, msg) else: seller = Profile.objects.get(fbid=fbid) delicacy_orders = DelicacyOrder.objects.filter(delicacy_seller=seller).filter(order_type=1).filter(status=1) if delicacy_orders.count() < 1: msg = 'You have not accepted any reservations for your delicacies.' self.text_message(fbid, msg) else: count = 0 generic_sellers = '{"recipient":{"id":"'+str(fbid)+'"},"message":{"attachment":{"type":"template","payload":{"template_type":"generic","elements":[' generic_ending = ']}}}}' generic_elements = '' for delicacy_order in delicacy_orders: if count >= 10: break count += 1 buyer = Profile.objects.get(pk=int(delicacy_order.delicacy_buyer.pk)) delicacy = Delicacy.objects.get(pk=int(delicacy_order.delicacy.pk)) img_link = 'http://via.placeholder.com/350x350' generic_title = buyer.user.first_name + ' wants their Delicacy reservation completed!' generic_subtitle = 'Order Code: ' + delicacy_order.code accept_order_payload = 'DELICACY_ACCEPTED_RESERVATIONS_' + str(delicacy_order.pk) + '_1' reject_order_payload = 'DELICACY_ACCEPTED_RESERVATIONS_' + str(delicacy_order.pk) + '_2' generic_elements += '{"title":"'+str(generic_title)+'","image_url":"'+str(img_link)+'","subtitle":"'+str(generic_subtitle)+'.","buttons":[{"type":"postback","title":"Complete Reservation","payload":"'+str(accept_order_payload)+'"},{"type":"postback","payload":"'+str(reject_order_payload)+'","title":"Cancel Reservation"}]},' #Remove trailing comma generic_elements = generic_elements[:-1] generic_message = generic_sellers + generic_elements + generic_ending print('Generic message: ' + generic_message) headers = { 'Content-Type': 'application/json', } params = ( ('access_token', self.SELLER_ACCESS_TOKEN), ) response = requests.post('https://graph.facebook.com/v2.6/me/messages', headers=headers, params=params, data=generic_message) pprint(response.json()) return

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0.025542

0.032353

0.90572

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0.861586

0.853281

0.844558

0

0.006908

0.359037

55,557

979

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56.748723

0.801179

0.022067

0

0.720045

0

0.010078

0.271649

0.051412

0.00112

0

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false

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0.006719

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1

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7

b8f3450cc13ca7f49f170be6f68defce0a31b23e

16,740

py

Python

jodd-core/src/main/python/ArraysUtil.py

kissys/jodd

b8e3d5bebd4ec61f5ce4b4e5ac1c6c0e449eebf8

[ "BSD-3-Clause" ]

1

2019-07-03T09:51:49.000Z

jodd-core/src/main/python/ArraysUtil.py

kissys/jodd

b8e3d5bebd4ec61f5ce4b4e5ac1c6c0e449eebf8

[ "BSD-3-Clause" ]

null

jodd-core/src/main/python/ArraysUtil.py

kissys/jodd

b8e3d5bebd4ec61f5ce4b4e5ac1c6c0e449eebf8

[ "BSD-3-Clause" ]

null

f = open('ArraysUtil.java', 'w') f.write(''' package jodd.util; import java.lang.reflect.Array; import static jodd.util.StringPool.NULL; /** * More array utilities. * <b>DO NOT MODIFY: this source is generated.</b> */ public class ArraysUtil { ''') types = ['String', 'byte', 'char', 'short', 'int', 'long', 'float', 'double', 'boolean'] prim_types = ['byte', 'char', 'short', 'int', 'long', 'float', 'double', 'boolean'] big_types = ['Byte', 'Character', 'Short', 'Integer', 'Long', 'Float', 'Double', 'Boolean'] prim_types_safe = ['byte', 'char', 'short', 'int', 'long', 'boolean'] f.write('\n\n\t// ---------------------------------------------------------------- join') f.write(''' /** * Joins arrays. Component type is resolved from the array argument. */ @SuppressWarnings({"unchecked"}) public static <T> T[] join(T[]... arrays) { Class<T> componentType = (Class<T>) arrays.getClass().getComponentType().getComponentType(); return join(componentType, arrays); } /** * Joins arrays using provided component type. */ @SuppressWarnings({"unchecked"}) public static <T> T[] join(Class<T> componentType, T[][] arrays) { if (arrays.length == 1) { return arrays[0]; } int length = 0; for (T[] array : arrays) { length += array.length; } T[] result = (T[]) Array.newInstance(componentType, length); length = 0; for (T[] array : arrays) { System.arraycopy(array, 0, result, length, array.length); length += array.length; } return result; } ''') template = ''' /** * Join <code>$T</code> arrays. */ public static $T[] join($T[]... arrays) { if (arrays.length == 0) { return new $T[0]; } if (arrays.length == 1) { return arrays[0]; } int length = 0; for ($T[] array : arrays) { length += array.length; } $T[] result = new $T[length]; length = 0; for ($T[] array : arrays) { System.arraycopy(array, 0, result, length, array.length); length += array.length; } return result; } ''' for type in types: data = template.replace('$T', type) f.write(data) f.write('\n\n\t// ---------------------------------------------------------------- resize') f.write(''' /** * Resizes an array. */ public static <T> T[] resize(T[] buffer, int newSize) { Class<T> componentType = (Class<T>) buffer.getClass().getComponentType(); T[] temp = (T[]) Array.newInstance(componentType, newSize); System.arraycopy(buffer, 0, temp, 0, buffer.length >= newSize ? newSize : buffer.length); return temp; } ''' ) template = ''' /** * Resizes a <code>$T</code> array. */ public static $T[] resize($T buffer[], int newSize) { $T temp[] = new $T[newSize]; System.arraycopy(buffer, 0, temp, 0, buffer.length >= newSize ? newSize : buffer.length); return temp; } ''' for type in types: data = template.replace('$T', type) f.write(data) f.write('\n\n\t// ---------------------------------------------------------------- append') f.write(''' /** * Appends an element to array. */ public static <T> T[] append(T[] buffer, T newElement) { T[] t = resize(buffer, buffer.length + 1); t[buffer.length] = newElement; return t; } ''' ) template = ''' /** * Appends an element to <code>$T</code> array. */ public static $T[] append($T buffer[], $T newElement) { $T[] t = resize(buffer, buffer.length + 1); t[buffer.length] = newElement; return t; } ''' for type in types: data = template.replace('$T', type) f.write(data) f.write('\n\n\t// ---------------------------------------------------------------- remove') f.write(''' /** * Removes sub-array. */ public static <T> T[] remove(T[] buffer, int offset, int length) { Class<T> componentType = (Class<T>) buffer.getClass().getComponentType(); return remove(buffer, offset, length, componentType); } /** * Removes sub-array. */ @SuppressWarnings({"unchecked"}) public static <T> T[] remove(T[] buffer, int offset, int length, Class<T> componentType) { int len2 = buffer.length - length; T[] temp = (T[]) Array.newInstance(componentType, len2); System.arraycopy(buffer, 0, temp, 0, offset); System.arraycopy(buffer, offset + length, temp, offset, len2 - offset); return temp; } ''') template = ''' /** * Removes sub-array from <code>$T</code> array. */ public static $T[] remove($T[] buffer, int offset, int length) { int len2 = buffer.length - length; $T temp[] = new $T[len2]; System.arraycopy(buffer, 0, temp, 0, offset); System.arraycopy(buffer, offset + length, temp, offset, len2 - offset); return temp; } ''' for type in types: data = template.replace('$T', type) f.write(data) f.write('\n\n\t// ---------------------------------------------------------------- subarray') f.write(''' /** * Returns subarray. */ public static <T> T[] subarray(T[] buffer, int offset, int length) { Class<T> componentType = (Class<T>) buffer.getClass().getComponentType(); return subarray(buffer, offset, length, componentType); } /** * Returns subarray. */ @SuppressWarnings({"unchecked"}) public static <T> T[] subarray(T[] buffer, int offset, int length, Class<T> componentType) { T[] temp = (T[]) Array.newInstance(componentType, length); System.arraycopy(buffer, offset, temp, 0, length); return temp; } ''') template = ''' /** * Returns subarray. */ public static $T[] subarray($T[] buffer, int offset, int length) { $T temp[] = new $T[length]; System.arraycopy(buffer, offset, temp, 0, length); return temp; } ''' for type in types: data = template.replace('$T', type) f.write(data) f.write('\n\n\t// ---------------------------------------------------------------- insert') f.write(''' /** * Inserts one array into another array. */ public static <T> T[] insert(T[] dest, T[] src, int offset) { Class<T> componentType = (Class<T>) dest.getClass().getComponentType(); return insert(dest, src, offset, componentType); } /** * Inserts one element into an array. */ public static <T> T[] insert(T[] dest, T src, int offset) { Class<T> componentType = (Class<T>) dest.getClass().getComponentType(); return insert(dest, src, offset, componentType); } /** * Inserts one array into another array. */ @SuppressWarnings({"unchecked"}) public static <T> T[] insert(T[] dest, T[] src, int offset, Class componentType) { T[] temp = (T[]) Array.newInstance(componentType, dest.length + src.length); System.arraycopy(dest, 0, temp, 0, offset); System.arraycopy(src, 0, temp, offset, src.length); System.arraycopy(dest, offset, temp, src.length + offset, dest.length - offset); return temp; } /** * Inserts one element into another array. */ @SuppressWarnings({"unchecked"}) public static <T> T[] insert(T[] dest, T src, int offset, Class componentType) { T[] temp = (T[]) Array.newInstance(componentType, dest.length + 1); System.arraycopy(dest, 0, temp, 0, offset); temp[offset] = src; System.arraycopy(dest, offset, temp, offset + 1, dest.length - offset); return temp; } ''') template = ''' /** * Inserts one array into another <code>$T</code> array. */ public static $T[] insert($T[] dest, $T[] src, int offset) { $T[] temp = new $T[dest.length + src.length]; System.arraycopy(dest, 0, temp, 0, offset); System.arraycopy(src, 0, temp, offset, src.length); System.arraycopy(dest, offset, temp, src.length + offset, dest.length - offset); return temp; } /** * Inserts one element into another <code>$T</code> array. */ public static $T[] insert($T[] dest, $T src, int offset) { $T[] temp = new $T[dest.length + 1]; System.arraycopy(dest, 0, temp, 0, offset); temp[offset] = src; System.arraycopy(dest, offset, temp, offset + 1, dest.length - offset); return temp; } ''' for type in types: data = template.replace('$T', type) f.write(data) f.write('\n\n\t// ---------------------------------------------------------------- insertAt') f.write(''' /** * Inserts one array into another at given offset. */ public static <T> T[] insertAt(T[] dest, T[] src, int offset) { Class<T> componentType = (Class<T>) dest.getClass().getComponentType(); return insertAt(dest, src, offset, componentType); } /** * Inserts one array into another at given offset. */ @SuppressWarnings({"unchecked"}) public static <T> T[] insertAt(T[] dest, T[] src, int offset, Class componentType) { T[] temp = (T[]) Array.newInstance(componentType, dest.length + src.length - 1); System.arraycopy(dest, 0, temp, 0, offset); System.arraycopy(src, 0, temp, offset, src.length); System.arraycopy(dest, offset + 1, temp, src.length + offset, dest.length - offset - 1); return temp; } ''') template = ''' /** * Inserts one array into another by replacing specified offset. */ public static $T[] insertAt($T[] dest, $T[] src, int offset) { $T[] temp = new $T[dest.length + src.length - 1]; System.arraycopy(dest, 0, temp, 0, offset); System.arraycopy(src, 0, temp, offset, src.length); System.arraycopy(dest, offset + 1, temp, src.length + offset, dest.length - offset - 1); return temp; } ''' for type in types: data = template.replace('$T', type) f.write(data) f.write('\n\n\t// ---------------------------------------------------------------- convert') f.write(''' ''') template = ''' /** * Converts to primitive array. */ public static $t[] values($T[] array) { $t[] dest = new $t[array.length]; for (int i = 0; i < array.length; i++) { $T v = array[i]; if (v != null) { dest[i] = v.$tValue(); } } return dest; } /** * Converts to object array. */ public static $T[] valuesOf($t[] array) { $T[] dest = new $T[array.length]; for (int i = 0; i < array.length; i++) { dest[i] = $T.valueOf(array[i]); } return dest; } ''' for i in range(len(prim_types)): data = template.replace('$t', prim_types[i]) data = data.replace('$T', big_types[i]) f.write(data) f.write('\n\n\t// ---------------------------------------------------------------- indexof') f.write(''' ''') template = ''' /** * Finds the first occurrence of an element in an array. */ public static int indexOf($T[] array, $T value) { for (int i = 0; i < array.length; i++) { if (array[i] == value) { return i; } } return -1; } /** * Returns <code>true</code> if an array contains given value. */ public static boolean contains($T[] array, $T value) { return indexOf(array, value) != -1; } /** * Finds the first occurrence of given value in an array from specified given position. */ public static int indexOf($T[] array, $T value, int startIndex) { for (int i = startIndex; i < array.length; i++) { if (array[i] == value) { return i; } } return -1; } /** * Finds the first occurrence in an array from specified given position and upto given length. */ public static int indexOf($T[] array, $T value, int startIndex, int endIndex) { for (int i = startIndex; i < endIndex; i++) { if (array[i] == value) { return i; } } return -1; } ''' for type in prim_types_safe: data = template.replace('$T', type) f.write(data) template = ''' /** * Finds the first occurrence of value in <code>$T</code> array. */ public static int indexOf($T[] array, $T value) { for (int i = 0; i < array.length; i++) { if ($B.compare(array[i], value) == 0) { return i; } } return -1; } /** * Returns <code>true</code> if <code>$T</code> array contains given value. */ public static boolean contains($T[] array, $T value) { return indexOf(array, value) != -1; } /** * Finds the first occurrence of given value in <code>$T</code> * array from specified given position. */ public static int indexOf($T[] array, $T value, int startIndex) { for (int i = startIndex; i < array.length; i++) { if ($B.compare(array[i], value) == 0) { return i; } } return -1; } /** * Finds the first occurrence in <code>$T</code> array from specified given position and upto given length. */ public static int indexOf($T[] array, $T value, int startIndex, int endIndex) { for (int i = startIndex; i < endIndex; i++) { if ($B.compare(array[i], value) == 0) { return i; } } return -1; } ''' data = template.replace('$T', 'float') data = data.replace('$B', 'Float') f.write(data) data = template.replace('$T', 'double') data = data.replace('$B', 'Double') f.write(data) f.write(''' /** * Finds the first occurrence in an array. */ public static int indexOf(Object[] array, Object value) { for (int i = 0; i < array.length; i++) { if (array[i].equals(value)) { return i; } } return -1; } public static boolean contains(Object[] array, Object value) { return indexOf(array, value) != -1; } /** * Finds the first occurrence in an array from specified given position. */ public static int indexOf(Object[] array, Object value, int startIndex) { for (int i = startIndex; i < array.length; i++) { if (array[i].equals(value)) { return i; } } return -1; } public static boolean contains(Object[] array, Object value, int startIndex) { return indexOf(array, value, startIndex) != -1; } ''') f.write('\n\n\t// ---------------------------------------------------------------- indexof 2') f.write(''' ''') template = ''' /** * Finds the first occurrence in an array. */ public static int indexOf($T[] array, $T[] sub) { return indexOf(array, sub, 0, array.length); } public static boolean contains($T[] array, $T[] sub) { return indexOf(array, sub) != -1; } /** * Finds the first occurrence in an array from specified given position. */ public static int indexOf($T[] array, $T[] sub, int startIndex) { return indexOf(array, sub, startIndex, array.length); } /** * Finds the first occurrence in an array from specified given position and upto given length. */ public static int indexOf($T[] array, $T[] sub, int startIndex, int endIndex) { int sublen = sub.length; if (sublen == 0) { return startIndex; } int total = endIndex - sublen + 1; $T c = sub[0]; mainloop: for (int i = startIndex; i < total; i++) { if (array[i] != c) { continue; } int j = 1; int k = i + 1; while (j < sublen) { if (sub[j] != array[k]) { continue mainloop; } j++; k++; } return i; } return -1; } ''' for type in prim_types_safe: data = template.replace('$T', type) f.write(data) template = ''' /** * Finds the first occurrence in an array. */ public static int indexOf($T[] array, $T[] sub) { return indexOf(array, sub, 0, array.length); } public static boolean contains($T[] array, $T[] sub) { return indexOf(array, sub) != -1; } /** * Finds the first occurrence in an array from specified given position. */ public static int indexOf($T[] array, $T[] sub, int startIndex) { return indexOf(array, sub, startIndex, array.length); } /** * Finds the first occurrence in an array from specified given position and upto given length. */ public static int indexOf($T[] array, $T[] sub, int startIndex, int endIndex) { int sublen = sub.length; if (sublen == 0) { return startIndex; } int total = endIndex - sublen + 1; $T c = sub[0]; mainloop: for (int i = startIndex; i < total; i++) { if ($B.compare(array[i], c) != 0) { continue; } int j = 1; int k = i + 1; while (j < sublen) { if ($B.compare(sub[j], array[k]) != 0) { continue mainloop; } j++; k++; } return i; } return -1; } ''' data = template.replace('$T', 'float') data = data.replace('$B', 'Float') f.write(data) data = template.replace('$T', 'double') data = data.replace('$B', 'Double') f.write(data) f.write('\n\n\t// ---------------------------------------------------------------- toString') f.write(''' /** * Converts an array to string. Elements are separated by comma and * an empty space. Returned string contains no brackets. */ public static String toString(Object[] array) { if (array == null) { return NULL; } StringBuilder sb = new StringBuilder(); for (int i = 0; i < array.length; i++) { if (i != 0) { sb.append(',').append(' '); } sb.append(array[i]); } return sb.toString(); } ''' ) template = ''' /** * Converts an array to string. Elements are separated by comma and * an empty space. Returned string contains no brackets. */ public static String toString($T[] array) { if (array == null) { return NULL; } StringBuilder sb = new StringBuilder(); for (int i = 0; i < array.length; i++) { if (i != 0) { sb.append(',').append(' '); } sb.append(array[i]); } return sb.toString(); } ''' for type in types: data = template.replace('$T', type) f.write(data) f.write('}') f.close()

25.363636

108

0.589367

2,173

16,740

4.535205

0.072711

0.056012

0.031659

0.030441

0.88138

0.857737

0.827905

0.790259

0.74896

0.733435

0

0.007334

0.193668

16,740

659

109

25.402124

0.722774

0

0.654882

0

0.031987

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false

0

0.003367

0

0.109428

0

null

0

1

0

1

0

null

0

7

62454b969e7e4c5652ca7f1fdd8bc2609a554943

559

py

Python

src/graph_transpiler/webdnn/backend/webgl/optimize_rules/__init__.py

steerapi/webdnn

1df51cc094e5a528cfd3452c264905708eadb491

[ "MIT" ]

1

2021-04-09T15:55:35.000Z

src/graph_transpiler/webdnn/backend/webgl/optimize_rules/__init__.py

steerapi/webdnn

1df51cc094e5a528cfd3452c264905708eadb491

[ "MIT" ]

null

src/graph_transpiler/webdnn/backend/webgl/optimize_rules/__init__.py

steerapi/webdnn

1df51cc094e5a528cfd3452c264905708eadb491

[ "MIT" ]

null

from webdnn.backend.webgl.optimize_rules import decompose_softmax from webdnn.backend.webgl.optimize_rules import fix_tensordot_texture_shape from webdnn.backend.webgl.optimize_rules import insert_channel_mode_conversion from webdnn.backend.webgl.optimize_rules import insert_transpose from webdnn.backend.webgl.optimize_rules import simplify_channel_mode_conversion from webdnn.backend.webgl.optimize_rules import split_texture from webdnn.backend.webgl.optimize_rules import unroll_concat from webdnn.backend.webgl.optimize_rules import webgl_optimize_rule

62.111111

80

0.899821

79

559

6.075949

0.291139

0.24375

0.283333

0.366667

0.795833

0.36875

0.258333

0

0.057245

559

8

81

69.875

0.910816

0

1

0

true

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

9

6254e94f4ffad04828185c3245d0dd7b8c59e9af

1,644

py

Python

elementalcms/extends/actionsdecorators.py

paranoid-software/elemental-cms

7f09f9cd5498577d23fa70d1a51497b9de232598

[ "MIT" ]

3

2022-01-12T09:11:54.000Z

2022-02-24T22:39:11.000Z

elementalcms/extends/actionsdecorators.py

paranoid-software/elemental-cms

7f09f9cd5498577d23fa70d1a51497b9de232598

[ "MIT" ]

null

elementalcms/extends/actionsdecorators.py

paranoid-software/elemental-cms

7f09f9cd5498577d23fa70d1a51497b9de232598

[ "MIT" ]

1

2022-01-12T09:11:56.000Z

def get(route: str, **kwargs): def wrapper(function): function.is_action = True function.route = route function.method = 'GET' function.endpoint = None if 'endpoint' in kwargs.keys(): function.endpoint = kwargs['endpoint'] return function return wrapper def post(route: str, **kwargs): def wrapper(function): function.is_action = True function.route = route function.method = 'POST' function.endpoint = None if 'endpoint' in kwargs.keys(): function.endpoint = kwargs['endpoint'] return function return wrapper def put(route: str, **kwargs): def wrapper(function): function.is_action = True function.route = route function.method = 'PUT' function.endpoint = None if 'endpoint' in kwargs.keys(): function.endpoint = kwargs['endpoint'] return function return wrapper def patch(route: str, **kwargs): def wrapper(function): function.is_action = True function.route = route function.method = 'PATCH' function.endpoint = None if 'endpoint' in kwargs.keys(): function.endpoint = kwargs['endpoint'] return function return wrapper def delete(route: str, **kwargs): def wrapper(function): function.is_action = True function.route = route function.method = 'DELETE' function.endpoint = None if 'endpoint' in kwargs.keys(): function.endpoint = kwargs['endpoint'] return function return wrapper

22.520548

50

0.594282

170

1,644

5.717647

0.123529

0.164609

0.072016

0.087449

0.953704

0

0.308394

1,644

72

51

22.833333

0.854881

0

0.8

0

0.061436

0

1

0.2

false

0

0.4

0

null

0

1

0

1

0

null

0

7

626943faefc1c4a4cec83d3cb33de6c38ae9875b

109,893

py

Python

tfat/migrations/0001_initial_squashed_0015_upload_to_tfat_tag_reports.py

AdamCottrill/TFAT

2cd6026ecf22eff6473a6064b9bc9e908c33e4ae

[ "MIT" ]

null

tfat/migrations/0001_initial_squashed_0015_upload_to_tfat_tag_reports.py

AdamCottrill/TFAT

2cd6026ecf22eff6473a6064b9bc9e908c33e4ae

[ "MIT" ]

null

tfat/migrations/0001_initial_squashed_0015_upload_to_tfat_tag_reports.py

AdamCottrill/TFAT

2cd6026ecf22eff6473a6064b9bc9e908c33e4ae

[ "MIT" ]

null

# Generated by Django 2.2.10 on 2020-06-10 12:57 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django.db.models.manager class Migration(migrations.Migration): replaces = [ ("tfat", "0001_initial"), ("tfat", "0002_auto_20200220_0949"), ("tfat", "0003_auto_20200220_1242"), ("tfat", "0004_auto_20200220_1647"), ("tfat", "0005_auto_20200220_1718"), ("tfat", "0006_auto_20200221_1652"), ("tfat", "0007_auto_20200224_1338"), ("tfat", "0008_auto_20200415_1940"), ("tfat", "0009_auto_20200415_2001"), ("tfat", "0010_auto_20200415_2103"), ("tfat", "0011_auto_20200415_2158"), ("tfat", "0012_auto_20200415_2224"), ("tfat", "0013_auto_20200416_1012"), ("tfat", "0014_auto_20200416_1049"), ("tfat", "0015_upload_to_tfat_tag_reports"), ] dependencies = [ ("common", "0001_initial"), ("common", "0003_auto_20200414_1700"), migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name="Database", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("master_database", models.CharField(max_length=250)), ("path", models.CharField(max_length=250)), ], options={ "verbose_name": "Master Database", }, ), migrations.CreateModel( name="JoePublic", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("first_name", models.CharField(max_length=15)), ("last_name", models.CharField(max_length=50)), ("initial", models.CharField(blank=True, max_length=5, null=True)), ("address1", models.CharField(blank=True, max_length=50, null=True)), ("address2", models.CharField(blank=True, max_length=50, null=True)), ("town", models.CharField(blank=True, max_length=50, null=True)), ( "province", models.CharField( blank=True, choices=[ ("ON", "Ontario"), ("AB", "Alberta"), ("BC", "British Columbia"), ("MB", "Manitoba"), ("NB", "New Brunswick"), ("NL", "Newfoundland and Labrador"), ("NS", "Nova Scotia"), ("NT", "Northwest Territories"), ("NU", "Nunavut"), ("PE", "Prince Edward Island"), ("QC", "Quebec"), ("SK", "Saskatchewan"), ("YT", "Yukon"), ("AL", "Alabama"), ("AK", "Alaska"), ("AZ", "Arizona"), ("AR", "Arkansas"), ("CA", "California"), ("CO", "Colorado"), ("CT", "Connecticut"), ("DE", "Delaware"), ("DC", "District of Columbia"), ("FL", "Florida"), ("GA", "Georgia"), ("HI", "Hawaii"), ("ID", "Idaho"), ("IL", "Illinois"), ("IN", "Indiana"), ("IA", "Iowa"), ("KS", "Kansas"), ("KY", "Kentucky"), ("LA", "Louisiana"), ("ME", "Maine"), ("MD", "Maryland"), ("MA", "Massachusetts"), ("MI", "Michigan"), ("MN", "Minnesota"), ("MS", "Mississippi"), ("MO", "Missouri"), ("MT", "Montana"), ("NE", "Nebraska"), ("NV", "Nevada"), ("NH", "New Hampshire"), ("NJ", "New Jersey"), ("NM", "New Mexico"), ("NY", "New York"), ("NC", "North Carolina"), ("ND", "North Dakota"), ("OH", "Ohio"), ("OK", "Oklahoma"), ("OR", "Oregon"), ("PA", "Pennsylvania"), ("RI", "Rhode Island"), ("SC", "South Carolina"), ("SD", "South Dakota"), ("TN", "Tennessee"), ("TX", "Texas"), ("UT", "Utah"), ("VT", "Vermont"), ("VA", "Virginia"), ("WA", "Washington"), ("WV", "West Virginia"), ("WI", "Wisconsin"), ("WY", "Wyoming"), ], max_length=12, null=True, ), ), ("postal_code", models.CharField(blank=True, max_length=7, null=True)), ("email", models.CharField(blank=True, max_length=50, null=True)), ("phone", models.CharField(blank=True, max_length=15, null=True)), ("affiliation", models.CharField(blank=True, max_length=50, null=True)), ], options={ "ordering": ["last_name", "first_name"], }, ), migrations.CreateModel( name="Recovery", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("recovery_date", models.DateField(blank=True, null=True)), ( "date_flag", models.IntegerField( choices=[(2, "Derived"), (0, "Unknown"), (1, "Reported")], default=1, verbose_name="Date Flag", ), ), ( "general_location", models.CharField( blank=True, max_length=200, null=True, verbose_name="General Location", ), ), ( "specific_location", models.CharField( blank=True, max_length=200, null=True, verbose_name="Specific Location", ), ), ("dd_lat", models.FloatField(blank=True, null=True)), ("dd_lon", models.FloatField(blank=True, null=True)), ( "latlon_flag", models.IntegerField( choices=[(2, "Derived"), (0, "Unknown"), (1, "Reported")], default=1, verbose_name="Spatial Flag", ), ), ("spatial_followup", models.BooleanField(default=False)), ( "flen", models.IntegerField( blank=True, null=True, verbose_name="Fork Length" ), ), ( "tlen", models.IntegerField( blank=True, null=True, verbose_name="Total Length" ), ), ( "rwt", models.IntegerField( blank=True, null=True, verbose_name="Round Weight" ), ), ( "girth", models.IntegerField(blank=True, null=True, verbose_name="Girth"), ), ( "sex", models.CharField( blank=True, choices=[ ("1", "Male"), ("3", "Hermaphrodite"), ("9", "Unknown"), ("2", "Female"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), ( "clipc", models.CharField( blank=True, max_length=5, null=True, verbose_name="Clip Code" ), ), ("tagid", models.CharField(db_index=True, max_length=20)), ( "_tag_origin", models.CharField( choices=[ ("10", "Lakehead University"), ("98", "Other"), ("24", "CORA"), ("05", "University of Toronto"), ("20", "USGS"), ("09", "State of Minnesota"), ("07", "State of Pennsylvania"), ("13", "Ontario Hydro"), ("19", "USFWS"), ("02", "New York State"), ("25", "AOFRC"), ("11", "Sir Sandford Fleming College"), ("06", "State of Ohio"), ("08", "Royal Ontario Museum"), ("26", "GLLFAS"), ("01", "Ontario Ministry of Natural Resources"), ("03", "State of Michigan"), ("99", "Unknown"), ("12", "Private Club"), ("04", "University of Guelph"), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), ( "_tag_position", models.CharField( choices=[ ("6", "Jaw"), ("8", "Anal"), ("4", "Abdominal Insertion"), ("2", "Between Dorsal"), ("5", "Flesh of Back"), ("1", "Anterior Dorsal"), ("3", "Posterior Dorsal"), ("7", "Snout"), ("9", "Unknown"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), ( "_tag_type", models.CharField( choices=[ ("B", "Metal Livestock"), ("1", "Streamer"), ("6", "Coded Wire"), ("7", "Strip Vinyl "), ("2", "Tubular Vinyl"), ("A", "Internal (Radio)"), ("5", "Anchor"), ("8", "Secure Tie"), ("C", "Cinch"), ("P", "PIT tag"), ("3", "Circular Strap Jaw "), ("4", "Butt End Jaw "), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), ( "_tag_colour", models.CharField( choices=[ ("3", "Red"), ("5", "Orange"), ("7", "White"), ("4", "Green"), ("1", "Colourless"), ("2", "Yellow"), ("6", "Silver"), ("9", "Unknown"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), ( "tagdoc", models.CharField( db_index=True, default="25012", max_length=6, verbose_name="TAGDOC", ), ), ("tag_removed", models.BooleanField(default=False)), ( "fate", models.CharField( blank=True, choices=[("R", "Released"), ("K", "Killed")], default="R", max_length=3, null=True, verbose_name="Fate", ), ), ("comment", models.CharField(blank=True, max_length=500, null=True)), ( "lake", models.ForeignKey( default=1, on_delete=django.db.models.deletion.CASCADE, related_name="recoveries", to="common.Lake", ), ), ], options={ "ordering": ["tagdoc", "tagid"], }, ), migrations.CreateModel( name="Report", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "report_date", models.DateTimeField( blank=True, null=True, verbose_name="Report Date" ), ), ( "date_flag", models.IntegerField( choices=[(2, "Derived"), (1, "Reported"), (0, "Unknown")], default=0, verbose_name="Date Flag", ), ), ( "reporting_format", models.CharField( choices=[ ("letter", "letter"), ("other", "other"), ("dcr", "DCR"), ("verbal", "verbal"), ("e-mail", "e-mail"), ], default="verbal", max_length=30, verbose_name="Report Format", ), ), ("dcr", models.CharField(blank=True, max_length=15, null=True)), ("effort", models.CharField(blank=True, max_length=15, null=True)), ( "associated_file", models.FileField(blank=True, null=True, upload_to="reports"), ), ("comment", models.CharField(blank=True, max_length=500, null=True)), ("follow_up", models.BooleanField(default=False)), ( "reported_by", models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name="Reported_By", to="tfat.JoePublic", ), ), ], options={ "verbose_name_plural": "JoePublic", "ordering": ["-report_date"], }, ), migrations.CreateModel( name="Species", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("species_code", models.IntegerField(unique=True)), ("common_name", models.CharField(max_length=40)), ( "scientific_name", models.CharField(blank=True, max_length=50, null=True), ), ("primary", models.BooleanField(default=False)), ], options={ "verbose_name_plural": "Species", "ordering": ["-primary", "common_name"], }, ), migrations.CreateModel( name="RecoveryLetter", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("letter", models.FileField(upload_to="tag_return_letters/")), ( "zoom", models.IntegerField(blank=True, null=True, verbose_name="Map Zoom"), ), ( "method", models.CharField( choices=[ ("custom_letter", "Custom Letter"), ("tfat_template", "TFAT Template"), ], default="tfat_template", max_length=30, verbose_name="Generated By", ), ), ( "recovery", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="recovery_letters", to="tfat.Recovery", ), ), ], ), migrations.AddField( model_name="recovery", name="report", field=models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="Report", to="tfat.Report", ), ), migrations.AddField( model_name="recovery", name="species", field=models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="recoveries", to="tfat.TaggedSpecies", ), ), migrations.CreateModel( name="Project", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("year", models.IntegerField(db_index=True)), ("prj_cd", models.CharField(db_index=True, max_length=12)), ("prj_nm", models.CharField(max_length=100)), ("slug", models.SlugField(blank=True, editable=False)), ( "dbase", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, to="tfat.Database" ), ), ( "lake", models.ForeignKey( default=1, on_delete=django.db.models.deletion.CASCADE, related_name="Projects", to="common.Lake", ), ), ], options={ "ordering": ["-year", "prj_cd"], }, ), migrations.AlterIndexTogether( name="recovery", index_together={("tagid", "tagdoc", "species")}, ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("2", "Yellow"), ("7", "White"), ("9", "Unknown"), ("3", "Red"), ("4", "Green"), ("6", "Silver"), ("1", "Colourless"), ("5", "Orange"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("01", "Ontario Ministry of Natural Resources"), ("99", "Unknown"), ("20", "USGS"), ("03", "State of Michigan"), ("11", "Sir Sandford Fleming College"), ("19", "USFWS"), ("12", "Private Club"), ("09", "State of Minnesota"), ("98", "Other"), ("06", "State of Ohio"), ("05", "University of Toronto"), ("26", "GLLFAS"), ("08", "Royal Ontario Museum"), ("02", "New York State"), ("25", "AOFRC"), ("10", "Lakehead University"), ("07", "State of Pennsylvania"), ("04", "University of Guelph"), ("24", "CORA"), ("13", "Ontario Hydro"), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("2", "Between Dorsal"), ("9", "Unknown"), ("1", "Anterior Dorsal"), ("6", "Jaw"), ("3", "Posterior Dorsal"), ("5", "Flesh of Back"), ("7", "Snout"), ("4", "Abdominal Insertion"), ("8", "Anal"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("2", "Tubular Vinyl"), ("C", "Cinch"), ("8", "Secure Tie"), ("3", "Circular Strap Jaw "), ("B", "Metal Livestock"), ("P", "PIT tag"), ("1", "Streamer"), ("5", "Anchor"), ("7", "Strip Vinyl "), ("4", "Butt End Jaw "), ("A", "Internal (Radio)"), ("6", "Coded Wire"), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="date_flag", field=models.IntegerField( choices=[(0, "Unknown"), (1, "Reported"), (2, "Derived")], default=1, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="recovery", name="latlon_flag", field=models.IntegerField( choices=[(0, "Unknown"), (1, "Reported"), (2, "Derived")], default=1, verbose_name="Spatial Flag", ), ), migrations.AlterField( model_name="recovery", name="sex", field=models.CharField( blank=True, choices=[ ("2", "Female"), ("3", "Hermaphrodite"), ("9", "Unknown"), ("1", "Male"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("1", "Colourless"), ("2", "Yellow"), ("5", "Orange"), ("7", "White"), ("9", "Unknown"), ("4", "Green"), ("3", "Red"), ("6", "Silver"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("19", "USFWS"), ("01", "Ontario Ministry of Natural Resources"), ("25", "AOFRC"), ("07", "State of Pennsylvania"), ("06", "State of Ohio"), ("20", "USGS"), ("98", "Other"), ("04", "University of Guelph"), ("26", "GLLFAS"), ("09", "State of Minnesota"), ("05", "University of Toronto"), ("10", "Lakehead University"), ("24", "CORA"), ("99", "Unknown"), ("12", "Private Club"), ("08", "Royal Ontario Museum"), ("02", "New York State"), ("11", "Sir Sandford Fleming College"), ("03", "State of Michigan"), ("13", "Ontario Hydro"), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("6", "Jaw"), ("5", "Flesh of Back"), ("1", "Anterior Dorsal"), ("8", "Anal"), ("9", "Unknown"), ("4", "Abdominal Insertion"), ("7", "Snout"), ("3", "Posterior Dorsal"), ("2", "Between Dorsal"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("3", "Circular Strap Jaw "), ("P", "PIT tag"), ("4", "Butt End Jaw "), ("B", "Metal Livestock"), ("C", "Cinch"), ("6", "Coded Wire"), ("A", "Internal (Radio)"), ("1", "Streamer"), ("8", "Secure Tie"), ("5", "Anchor"), ("7", "Strip Vinyl "), ("2", "Tubular Vinyl"), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="date_flag", field=models.IntegerField( choices=[(1, "Reported"), (0, "Unknown"), (2, "Derived")], default=1, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="recovery", name="latlon_flag", field=models.IntegerField( choices=[(1, "Reported"), (0, "Unknown"), (2, "Derived")], default=1, verbose_name="Spatial Flag", ), ), migrations.AlterField( model_name="recovery", name="sex", field=models.CharField( blank=True, choices=[ ("3", "Hermaphrodite"), ("1", "Male"), ("9", "Unknown"), ("2", "Female"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.CreateModel( name="Encounter", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("sam", models.CharField(max_length=5)), ("eff", models.CharField(max_length=3)), ("grp", models.CharField(max_length=3)), ("fish", models.CharField(max_length=10)), ("observation_date", models.DateField()), ("grid", models.CharField(max_length=4)), ("dd_lat", models.FloatField()), ("dd_lon", models.FloatField()), ("flen", models.IntegerField(blank=True, null=True)), ("tlen", models.IntegerField(blank=True, null=True)), ("rwt", models.IntegerField(blank=True, null=True)), ("age", models.IntegerField(blank=True, null=True)), ( "sex", models.CharField( blank=True, choices=[ ("1", "Male"), ("2", "Female"), ("3", "Hermaphrodite"), ("9", "Unknown"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), ("clipc", models.CharField(blank=True, max_length=5, null=True)), ("tagid", models.CharField(db_index=True, max_length=20)), ( "tagdoc", models.CharField( blank=True, db_index=True, max_length=6, null=True ), ), ( "tagstat", models.CharField( blank=True, choices=[("A", "Applied"), ("C", "Existed on Capture")], db_index=True, default="C", max_length=4, null=True, ), ), ( "fate", models.CharField( blank=True, choices=[("R", "Released"), ("K", "Killed")], default="C", max_length=2, null=True, ), ), ("comment", models.CharField(blank=True, max_length=500, null=True)), ( "project", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="Encounters", to="tfat.Project", ), ), ( "species", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, to="tfat.TaggedSpecies" ), ), ], options={ "ordering": ["tagdoc", "tagid", "observation_date"], "index_together": {("tagid", "tagdoc", "species")}, }, ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("1", "Colourless"), ("6", "Silver"), ("9", "Unknown"), ("5", "Orange"), ("4", "Green"), ("2", "Yellow"), ("7", "White"), ("3", "Red"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("11", "Sir Sandford Fleming College"), ("01", "Ontario Ministry of Natural Resources"), ("09", "State of Minnesota"), ("10", "Lakehead University"), ("12", "Private Club"), ("04", "University of Guelph"), ("25", "AOFRC"), ("26", "GLLFAS"), ("03", "State of Michigan"), ("06", "State of Ohio"), ("99", "Unknown"), ("20", "USGS"), ("05", "University of Toronto"), ("24", "CORA"), ("07", "State of Pennsylvania"), ("02", "New York State"), ("98", "Other"), ("13", "Ontario Hydro"), ("08", "Royal Ontario Museum"), ("19", "USFWS"), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("9", "Unknown"), ("2", "Between Dorsal"), ("8", "Anal"), ("5", "Flesh of Back"), ("7", "Snout"), ("4", "Abdominal Insertion"), ("1", "Anterior Dorsal"), ("3", "Posterior Dorsal"), ("6", "Jaw"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("5", "Anchor"), ("C", "Cinch"), ("4", "Butt End Jaw "), ("3", "Circular Strap Jaw "), ("A", "Internal (Radio)"), ("7", "Strip Vinyl "), ("6", "Coded Wire"), ("8", "Secure Tie"), ("P", "PIT tag"), ("B", "Metal Livestock"), ("2", "Tubular Vinyl"), ("1", "Streamer"), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="sex", field=models.CharField( blank=True, choices=[ ("1", "Male"), ("2", "Female"), ("3", "Hermaphrodite"), ("9", "Unknown"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("1", "Colourless"), ("4", "Green"), ("9", "Unknown"), ("3", "Red"), ("7", "White"), ("2", "Yellow"), ("5", "Orange"), ("6", "Silver"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("12", "Private Club"), ("05", "University of Toronto"), ("10", "Lakehead University"), ("25", "AOFRC"), ("99", "Unknown"), ("08", "Royal Ontario Museum"), ("24", "CORA"), ("09", "State of Minnesota"), ("02", "New York State"), ("11", "Sir Sandford Fleming College"), ("03", "State of Michigan"), ("07", "State of Pennsylvania"), ("01", "Ontario Ministry of Natural Resources"), ("19", "USFWS"), ("26", "GLLFAS"), ("04", "University of Guelph"), ("13", "Ontario Hydro"), ("20", "USGS"), ("06", "State of Ohio"), ("98", "Other"), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("2", "Between Dorsal"), ("7", "Snout"), ("9", "Unknown"), ("3", "Posterior Dorsal"), ("1", "Anterior Dorsal"), ("8", "Anal"), ("4", "Abdominal Insertion"), ("6", "Jaw"), ("5", "Flesh of Back"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("P", "PIT tag"), ("4", "Butt End Jaw "), ("1", "Streamer"), ("5", "Anchor"), ("B", "Metal Livestock"), ("C", "Cinch"), ("7", "Strip Vinyl "), ("3", "Circular Strap Jaw "), ("6", "Coded Wire"), ("A", "Internal (Radio)"), ("2", "Tubular Vinyl"), ("8", "Secure Tie"), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="date_flag", field=models.IntegerField( choices=[(2, "Derived"), (1, "Reported"), (0, "Unknown")], default=1, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="recovery", name="latlon_flag", field=models.IntegerField( choices=[(2, "Derived"), (1, "Reported"), (0, "Unknown")], default=1, verbose_name="Spatial Flag", ), ), migrations.CreateModel( name="ReportFollowUp", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("timestamp", models.DateTimeField()), ( "status", models.CharField( choices=[ ("requested", "Requested"), ("initialized", "Initialized"), ("completed", "Completed"), ], db_index=True, default="requested", max_length=12, verbose_name="Follow Up Status", ), ), ( "created_by", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, ), ), ( "report", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="followups", to="tfat.Report", ), ), ("comment", models.TextField(blank=True, null=True)), ], # options={ # "unique_together": {("report", "status")}, # }, ), # migrations.AddConstraint( # model_name="reportfollowup", # constraint=models.UniqueConstraint( # # foo bar - was id # fields=("report_id", "status"), # name="unique status", # ), # ), # migrations.RemoveConstraint( # model_name="reportfollowup", # name="unique status", # ), migrations.AlterField( model_name="encounter", name="sex", field=models.CharField( blank=True, choices=[ ("2", "Female"), ("1", "Male"), ("9", "Unknown"), ("3", "Hermaphrodite"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("9", "Unknown"), ("3", "Red"), ("5", "Orange"), ("7", "White"), ("4", "Green"), ("1", "Colourless"), ("6", "Silver"), ("2", "Yellow"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("20", "USGS"), ("04", "University of Guelph"), ("06", "State of Ohio"), ("12", "Private Club"), ("10", "Lakehead University"), ("05", "University of Toronto"), ("19", "USFWS"), ("11", "Sir Sandford Fleming College"), ("02", "New York State"), ("25", "AOFRC"), ("09", "State of Minnesota"), ("24", "CORA"), ("08", "Royal Ontario Museum"), ("01", "Ontario Ministry of Natural Resources"), ("03", "State of Michigan"), ("26", "GLLFAS"), ("13", "Ontario Hydro"), ("99", "Unknown"), ("07", "State of Pennsylvania"), ("98", "Other"), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("1", "Anterior Dorsal"), ("8", "Anal"), ("3", "Posterior Dorsal"), ("9", "Unknown"), ("4", "Abdominal Insertion"), ("6", "Jaw"), ("7", "Snout"), ("2", "Between Dorsal"), ("5", "Flesh of Back"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("C", "Cinch"), ("7", "Strip Vinyl "), ("8", "Secure Tie"), ("5", "Anchor"), ("4", "Butt End Jaw "), ("A", "Internal (Radio)"), ("6", "Coded Wire"), ("B", "Metal Livestock"), ("1", "Streamer"), ("2", "Tubular Vinyl"), ("P", "PIT tag"), ("3", "Circular Strap Jaw "), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="date_flag", field=models.IntegerField( choices=[(1, "Reported"), (2, "Derived"), (0, "Unknown")], default=1, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="recovery", name="latlon_flag", field=models.IntegerField( choices=[(1, "Reported"), (2, "Derived"), (0, "Unknown")], default=1, verbose_name="Spatial Flag", ), ), migrations.AlterField( model_name="recovery", name="report", field=models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="recoveries", to="tfat.Report", ), ), migrations.AlterField( model_name="recovery", name="sex", field=models.CharField( blank=True, choices=[ ("2", "Female"), ("1", "Male"), ("9", "Unknown"), ("3", "Hermaphrodite"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="report", name="date_flag", field=models.IntegerField( choices=[(1, "Reported"), (2, "Derived"), (0, "Unknown")], default=0, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="report", name="reporting_format", field=models.CharField( choices=[ ("e-mail", "e-mail"), ("other", "other"), ("dcr", "DCR"), ("verbal", "verbal"), ("letter", "letter"), ], default="verbal", max_length=30, verbose_name="Report Format", ), ), # migrations.AlterUniqueTogether( # name="reportfollowup", # unique_together=set(), # ), # migrations.AddConstraint( # model_name="reportfollowup", # constraint=models.UniqueConstraint( # fields=("report", "status"), name="unique report_status" # ), # ), migrations.AddField( model_name="report", name="follow_up_status", field=models.CharField( blank=True, choices=[ ("requested", "Requested"), ("initialized", "Initialized"), ("completed", "Completed"), ], db_index=True, default=None, max_length=12, null=True, verbose_name="Follow Up Status", ), ), migrations.AlterField( model_name="encounter", name="sex", field=models.CharField( blank=True, choices=[ ("3", "Hermaphrodite"), ("2", "Female"), ("1", "Male"), ("9", "Unknown"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("7", "White"), ("6", "Silver"), ("5", "Orange"), ("9", "Unknown"), ("3", "Red"), ("4", "Green"), ("2", "Yellow"), ("1", "Colourless"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("09", "State of Minnesota"), ("07", "State of Pennsylvania"), ("12", "Private Club"), ("01", "Ontario Ministry of Natural Resources"), ("19", "USFWS"), ("98", "Other"), ("08", "Royal Ontario Museum"), ("11", "Sir Sandford Fleming College"), ("25", "AOFRC"), ("02", "New York State"), ("20", "USGS"), ("03", "State of Michigan"), ("06", "State of Ohio"), ("26", "GLLFAS"), ("99", "Unknown"), ("24", "CORA"), ("13", "Ontario Hydro"), ("04", "University of Guelph"), ("10", "Lakehead University"), ("05", "University of Toronto"), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("6", "Jaw"), ("9", "Unknown"), ("2", "Between Dorsal"), ("8", "Anal"), ("5", "Flesh of Back"), ("4", "Abdominal Insertion"), ("3", "Posterior Dorsal"), ("7", "Snout"), ("1", "Anterior Dorsal"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("3", "Circular Strap Jaw "), ("7", "Strip Vinyl "), ("P", "PIT tag"), ("5", "Anchor"), ("4", "Butt End Jaw "), ("1", "Streamer"), ("A", "Internal (Radio)"), ("B", "Metal Livestock"), ("2", "Tubular Vinyl"), ("C", "Cinch"), ("8", "Secure Tie"), ("6", "Coded Wire"), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="date_flag", field=models.IntegerField( choices=[(0, "Unknown"), (2, "Derived"), (1, "Reported")], default=1, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="recovery", name="latlon_flag", field=models.IntegerField( choices=[(0, "Unknown"), (2, "Derived"), (1, "Reported")], default=1, verbose_name="Spatial Flag", ), ), migrations.AlterField( model_name="recovery", name="sex", field=models.CharField( blank=True, choices=[ ("3", "Hermaphrodite"), ("2", "Female"), ("1", "Male"), ("9", "Unknown"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="report", name="date_flag", field=models.IntegerField( choices=[(0, "Unknown"), (2, "Derived"), (1, "Reported")], default=0, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="report", name="reporting_format", field=models.CharField( choices=[ ("letter", "letter"), ("verbal", "verbal"), ("e-mail", "e-mail"), ("other", "other"), ("dcr", "DCR"), ], default="verbal", max_length=30, verbose_name="Report Format", ), ), migrations.AlterModelOptions( name="report", options={"ordering": ["-report_date"]}, ), migrations.AlterField( model_name="encounter", name="sex", field=models.CharField( blank=True, choices=[ ("2", "Female"), ("1", "Male"), ("3", "Hermaphrodite"), ("9", "Unknown"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="encounter", name="tagstat", field=models.CharField( blank=True, choices=[("C", "Existed on Capture"), ("A", "Applied")], db_index=True, default="C", max_length=4, null=True, ), ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("9", "Unknown"), ("5", "Orange"), ("2", "Yellow"), ("3", "Red"), ("7", "White"), ("1", "Colourless"), ("4", "Green"), ("6", "Silver"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("01", "MNRF"), ("08", "ROM"), ("10", "Lakehead"), ("02", "NY"), ("03", "Mich."), ("25", "AOFRC"), ("04", "UofG"), ("20", "USGS"), ("09", "Minn."), ("19", "USFWS"), ("06", "Ohio"), ("13", "OntHydro"), ("99", "Unkn"), ("11", "SSFC"), ("26", "GLLFAS"), ("05", "UofT"), ("12", "Priv"), ("98", "Other"), ("24", "CORA"), ("07", "Penn."), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("9", "Unknown"), ("5", "Flesh of Back"), ("4", "Abdominal Insertion"), ("8", "Anal"), ("1", "Anterior Dorsal"), ("6", "Jaw"), ("7", "Snout"), ("3", "Posterior Dorsal"), ("2", "Between Dorsal"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("7", "Strip Vinyl "), ("A", "Internal (Radio)"), ("P", "PIT tag"), ("5", "Anchor"), ("3", "Circular Strap Jaw "), ("4", "Butt End Jaw "), ("8", "Secure Tie"), ("2", "Tubular Vinyl"), ("C", "Cinch"), ("B", "Metal Livestock"), ("6", "Coded Wire"), ("1", "Streamer"), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="date_flag", field=models.IntegerField( choices=[(1, "Reported"), (0, "Unknown"), (2, "Derived")], default=1, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="recovery", name="latlon_flag", field=models.IntegerField( choices=[(1, "Reported"), (0, "Unknown"), (2, "Derived")], default=1, verbose_name="Spatial Flag", ), ), migrations.AlterField( model_name="recovery", name="sex", field=models.CharField( blank=True, choices=[ ("2", "Female"), ("1", "Male"), ("3", "Hermaphrodite"), ("9", "Unknown"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="recoveryletter", name="method", field=models.CharField( choices=[ ("tfat_template", "TFAT Template"), ("custom_letter", "Custom Letter"), ], default="tfat_template", max_length=30, verbose_name="Generated By", ), ), migrations.AlterField( model_name="report", name="date_flag", field=models.IntegerField( choices=[(1, "Reported"), (0, "Unknown"), (2, "Derived")], default=0, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="report", name="reporting_format", field=models.CharField( choices=[ ("dcr", "DCR"), ("verbal", "verbal"), ("letter", "letter"), ("other", "other"), ("e-mail", "e-mail"), ], default="verbal", max_length=30, verbose_name="Report Format", ), ), migrations.AlterField( model_name="encounter", name="sex", field=models.CharField( blank=True, choices=[ ("1", "Male"), ("2", "Female"), ("9", "Unknown"), ("3", "Hermaphrodite"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("2", "Yellow"), ("7", "White"), ("3", "Red"), ("1", "Colourless"), ("4", "Green"), ("9", "Unknown"), ("5", "Orange"), ("6", "Silver"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("26", "GLLFAS"), ("24", "CORA"), ("19", "USFWS"), ("25", "AOFRC"), ("06", "Ohio"), ("03", "Mich."), ("12", "Priv"), ("04", "UofG"), ("08", "ROM"), ("05", "UofT"), ("98", "Other"), ("13", "OntHydro"), ("10", "Lakehead"), ("09", "Minn."), ("99", "Unkn"), ("01", "MNRF"), ("20", "USGS"), ("02", "NY"), ("07", "Penn."), ("11", "SSFC"), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("5", "Flesh of Back"), ("2", "Between Dorsal"), ("6", "Jaw"), ("8", "Anal"), ("1", "Anterior Dorsal"), ("4", "Abdominal Insertion"), ("3", "Posterior Dorsal"), ("7", "Snout"), ("9", "Unknown"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("6", "Coded Wire"), ("1", "Streamer"), ("A", "Internal (Radio)"), ("P", "PIT tag"), ("7", "Strip Vinyl "), ("B", "Metal Livestock"), ("5", "Anchor"), ("4", "Butt End Jaw "), ("8", "Secure Tie"), ("3", "Circular Strap Jaw "), ("2", "Tubular Vinyl"), ("C", "Cinch"), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="sex", field=models.CharField( blank=True, choices=[ ("1", "Male"), ("2", "Female"), ("9", "Unknown"), ("3", "Hermaphrodite"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="recoveryletter", name="method", field=models.CharField( choices=[ ("custom_letter", "Custom Letter"), ("tfat_template", "TFAT Template"), ], default="tfat_template", max_length=30, verbose_name="Generated By", ), ), migrations.AlterField( model_name="report", name="reporting_format", field=models.CharField( choices=[ ("other", "other"), ("verbal", "verbal"), ("dcr", "DCR"), ("e-mail", "e-mail"), ("letter", "letter"), ], default="verbal", max_length=30, verbose_name="Report Format", ), ), migrations.AlterField( model_name="encounter", name="sex", field=models.CharField( blank=True, choices=[ ("3", "Hermaphrodite"), ("2", "Female"), ("9", "Unknown"), ("1", "Male"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), ## migrations.AddField( ## model_name="encounter", ## name="species", ## field=models.ForeignKey( ## on_delete=django.db.models.deletion.CASCADE, to="common.Species" ## ), ## ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("5", "Orange"), ("3", "Red"), ("6", "Silver"), ("7", "White"), ("9", "Unknown"), ("2", "Yellow"), ("1", "Colourless"), ("4", "Green"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("98", "Other"), ("04", "UofG"), ("01", "MNRF"), ("08", "ROM"), ("13", "OntHydro"), ("99", "Unkn"), ("20", "USGS"), ("25", "AOFRC"), ("19", "USFWS"), ("05", "UofT"), ("03", "Mich."), ("09", "Minn."), ("26", "GLLFAS"), ("10", "Lakehead"), ("07", "Penn."), ("06", "Ohio"), ("02", "NY"), ("12", "Priv"), ("24", "CORA"), ("11", "SSFC"), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("1", "Anterior Dorsal"), ("3", "Posterior Dorsal"), ("2", "Between Dorsal"), ("9", "Unknown"), ("7", "Snout"), ("8", "Anal"), ("4", "Abdominal Insertion"), ("6", "Jaw"), ("5", "Flesh of Back"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("5", "Anchor"), ("C", "Cinch"), ("3", "Circular Strap Jaw "), ("6", "Coded Wire"), ("A", "Internal (Radio)"), ("4", "Butt End Jaw "), ("7", "Strip Vinyl "), ("8", "Secure Tie"), ("P", "PIT tag"), ("B", "Metal Livestock"), ("2", "Tubular Vinyl"), ("1", "Streamer"), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="date_flag", field=models.IntegerField( choices=[(0, "Unknown"), (2, "Derived"), (1, "Reported")], default=1, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="recovery", name="latlon_flag", field=models.IntegerField( choices=[(0, "Unknown"), (2, "Derived"), (1, "Reported")], default=1, verbose_name="Spatial Flag", ), ), migrations.AlterField( model_name="recovery", name="sex", field=models.CharField( blank=True, choices=[ ("3", "Hermaphrodite"), ("2", "Female"), ("9", "Unknown"), ("1", "Male"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AddField( model_name="recovery", name="species", field=models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="recoveries", to="common.Species", ), ), migrations.AlterField( model_name="report", name="date_flag", field=models.IntegerField( choices=[(0, "Unknown"), (2, "Derived"), (1, "Reported")], default=0, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="report", name="reporting_format", field=models.CharField( choices=[ ("other", "other"), ("dcr", "DCR"), ("verbal", "verbal"), ("e-mail", "e-mail"), ("letter", "letter"), ], default="verbal", max_length=30, verbose_name="Report Format", ), ), migrations.AlterIndexTogether( name="encounter", index_together={("tagid", "tagdoc", "species")}, ), migrations.AlterIndexTogether( name="recovery", index_together={("tagid", "tagdoc", "species")}, ), ## migrations.RemoveField( ## model_name="encounter", ## name="species", ## ), ## migrations.RemoveField( ## model_name="recovery", ## name="species", ## ), migrations.AlterField( model_name="encounter", name="sex", field=models.CharField( blank=True, choices=[ ("3", "Hermaphrodite"), ("9", "Unknown"), ("1", "Male"), ("2", "Female"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="encounter", name="tagstat", field=models.CharField( blank=True, choices=[("A", "Applied"), ("C", "Existed on Capture")], db_index=True, default="C", max_length=4, null=True, ), ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("3", "Red"), ("2", "Yellow"), ("6", "Silver"), ("9", "Unknown"), ("1", "Colourless"), ("5", "Orange"), ("7", "White"), ("4", "Green"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("11", "SSFC"), ("20", "USGS"), ("08", "ROM"), ("24", "CORA"), ("04", "UofG"), ("12", "Priv"), ("99", "Unkn"), ("03", "Mich."), ("07", "Penn."), ("19", "USFWS"), ("09", "Minn."), ("05", "UofT"), ("01", "MNRF"), ("06", "Ohio"), ("98", "Other"), ("10", "Lakehead"), ("13", "OntHydro"), ("26", "GLLFAS"), ("25", "AOFRC"), ("02", "NY"), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("2", "Between Dorsal"), ("7", "Snout"), ("6", "Jaw"), ("9", "Unknown"), ("8", "Anal"), ("1", "Anterior Dorsal"), ("5", "Flesh of Back"), ("3", "Posterior Dorsal"), ("4", "Abdominal Insertion"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("5", "Anchor"), ("7", "Strip Vinyl "), ("6", "Coded Wire"), ("3", "Circular Strap Jaw "), ("4", "Butt End Jaw "), ("2", "Tubular Vinyl"), ("B", "Metal Livestock"), ("8", "Secure Tie"), ("C", "Cinch"), ("A", "Internal (Radio)"), ("1", "Streamer"), ("P", "PIT tag"), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="date_flag", field=models.IntegerField( choices=[(2, "Derived"), (1, "Reported"), (0, "Unknown")], default=1, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="recovery", name="latlon_flag", field=models.IntegerField( choices=[(2, "Derived"), (1, "Reported"), (0, "Unknown")], default=1, verbose_name="Spatial Flag", ), ), migrations.AlterField( model_name="recovery", name="sex", field=models.CharField( blank=True, choices=[ ("3", "Hermaphrodite"), ("9", "Unknown"), ("1", "Male"), ("2", "Female"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="report", name="date_flag", field=models.IntegerField( choices=[(2, "Derived"), (1, "Reported"), (0, "Unknown")], default=0, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="report", name="reporting_format", field=models.CharField( choices=[ ("verbal", "verbal"), ("letter", "letter"), ("e-mail", "e-mail"), ("other", "other"), ("dcr", "DCR"), ], default="verbal", max_length=30, verbose_name="Report Format", ), ), migrations.DeleteModel( name="Species", ), migrations.AlterField( model_name="encounter", name="sex", field=models.CharField( blank=True, choices=[ ("1", "Male"), ("9", "Unknown"), ("2", "Female"), ("3", "Hermaphrodite"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="encounter", name="tagstat", field=models.CharField( blank=True, choices=[("C", "Existed on Capture"), ("A", "Applied")], db_index=True, default="C", max_length=4, null=True, ), ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("3", "Red"), ("6", "Silver"), ("2", "Yellow"), ("9", "Unknown"), ("4", "Green"), ("5", "Orange"), ("7", "White"), ("1", "Colourless"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("10", "Lakehead"), ("20", "USGS"), ("07", "Penn."), ("02", "NY"), ("98", "Other"), ("08", "ROM"), ("11", "SSFC"), ("25", "AOFRC"), ("06", "Ohio"), ("26", "GLLFAS"), ("03", "Mich."), ("09", "Minn."), ("12", "Priv"), ("13", "OntHydro"), ("01", "MNRF"), ("24", "CORA"), ("19", "USFWS"), ("04", "UofG"), ("99", "Unkn"), ("05", "UofT"), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("4", "Abdominal Insertion"), ("7", "Snout"), ("8", "Anal"), ("9", "Unknown"), ("3", "Posterior Dorsal"), ("6", "Jaw"), ("2", "Between Dorsal"), ("1", "Anterior Dorsal"), ("5", "Flesh of Back"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("7", "Strip Vinyl "), ("B", "Metal Livestock"), ("2", "Tubular Vinyl"), ("5", "Anchor"), ("C", "Cinch"), ("P", "PIT tag"), ("4", "Butt End Jaw "), ("3", "Circular Strap Jaw "), ("8", "Secure Tie"), ("A", "Internal (Radio)"), ("6", "Coded Wire"), ("1", "Streamer"), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="date_flag", field=models.IntegerField( choices=[(0, "Unknown"), (1, "Reported"), (2, "Derived")], default=1, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="recovery", name="latlon_flag", field=models.IntegerField( choices=[(0, "Unknown"), (1, "Reported"), (2, "Derived")], default=1, verbose_name="Spatial Flag", ), ), migrations.AlterField( model_name="recovery", name="sex", field=models.CharField( blank=True, choices=[ ("1", "Male"), ("9", "Unknown"), ("2", "Female"), ("3", "Hermaphrodite"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="report", name="date_flag", field=models.IntegerField( choices=[(0, "Unknown"), (1, "Reported"), (2, "Derived")], default=0, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="report", name="reporting_format", field=models.CharField( choices=[ ("other", "other"), ("letter", "letter"), ("verbal", "verbal"), ("e-mail", "e-mail"), ("dcr", "DCR"), ], default="verbal", max_length=30, verbose_name="Report Format", ), ), migrations.CreateModel( name="TaggedSpecies", fields=[ ( "species_ptr", models.OneToOneField( auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to="common.Species", ), ), ("tagged", models.BooleanField(default=False)), ], options={ "ordering": ["spc_nmco"], "verbose_name_plural": "Tagged Species", }, bases=("common.species",), managers=[ ("all_species", django.db.models.manager.Manager()), ], ), migrations.AlterField( model_name="encounter", name="sex", field=models.CharField( blank=True, choices=[ ("9", "Unknown"), ("3", "Hermaphrodite"), ("2", "Female"), ("1", "Male"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("1", "Colourless"), ("3", "Red"), ("9", "Unknown"), ("6", "Silver"), ("4", "Green"), ("2", "Yellow"), ("5", "Orange"), ("7", "White"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("09", "Minn."), ("10", "Lakehead"), ("98", "Other"), ("13", "OntHydro"), ("03", "Mich."), ("08", "ROM"), ("24", "CORA"), ("99", "Unkn"), ("19", "USFWS"), ("25", "AOFRC"), ("12", "Priv"), ("05", "UofT"), ("07", "Penn."), ("02", "NY"), ("04", "UofG"), ("11", "SSFC"), ("26", "GLLFAS"), ("01", "MNRF"), ("20", "USGS"), ("06", "Ohio"), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("6", "Jaw"), ("9", "Unknown"), ("2", "Between Dorsal"), ("5", "Flesh of Back"), ("3", "Posterior Dorsal"), ("4", "Abdominal Insertion"), ("7", "Snout"), ("8", "Anal"), ("1", "Anterior Dorsal"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("A", "Internal (Radio)"), ("B", "Metal Livestock"), ("6", "Coded Wire"), ("3", "Circular Strap Jaw "), ("P", "PIT tag"), ("1", "Streamer"), ("5", "Anchor"), ("C", "Cinch"), ("2", "Tubular Vinyl"), ("8", "Secure Tie"), ("4", "Butt End Jaw "), ("7", "Strip Vinyl "), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="date_flag", field=models.IntegerField( choices=[(1, "Reported"), (2, "Derived"), (0, "Unknown")], default=1, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="recovery", name="latlon_flag", field=models.IntegerField( choices=[(1, "Reported"), (2, "Derived"), (0, "Unknown")], default=1, verbose_name="Spatial Flag", ), ), migrations.AlterField( model_name="recovery", name="sex", field=models.CharField( blank=True, choices=[ ("9", "Unknown"), ("3", "Hermaphrodite"), ("2", "Female"), ("1", "Male"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="recoveryletter", name="method", field=models.CharField( choices=[ ("tfat_template", "TFAT Template"), ("custom_letter", "Custom Letter"), ], default="tfat_template", max_length=30, verbose_name="Generated By", ), ), migrations.AlterField( model_name="report", name="date_flag", field=models.IntegerField( choices=[(1, "Reported"), (2, "Derived"), (0, "Unknown")], default=0, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="report", name="reporting_format", field=models.CharField( choices=[ ("e-mail", "e-mail"), ("verbal", "verbal"), ("letter", "letter"), ("other", "other"), ("dcr", "DCR"), ], default="verbal", max_length=30, verbose_name="Report Format", ), ), migrations.AlterField( model_name="encounter", name="sex", field=models.CharField( blank=True, choices=[ ("9", "Unknown"), ("3", "Hermaphrodite"), ("1", "Male"), ("2", "Female"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), ## migrations.AlterField( ## model_name="encounter", ## name="species", ## field=models.ForeignKey( ## on_delete=django.db.models.deletion.CASCADE, to="tfat.TaggedSpecies" ## ), ## ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("3", "Red"), ("6", "Silver"), ("9", "Unknown"), ("2", "Yellow"), ("7", "White"), ("1", "Colourless"), ("4", "Green"), ("5", "Orange"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("12", "Priv"), ("09", "Minn."), ("06", "Ohio"), ("13", "OntHydro"), ("24", "CORA"), ("11", "SSFC"), ("04", "UofG"), ("08", "ROM"), ("05", "UofT"), ("99", "Unkn"), ("20", "USGS"), ("10", "Lakehead"), ("07", "Penn."), ("01", "MNRF"), ("02", "NY"), ("26", "GLLFAS"), ("98", "Other"), ("19", "USFWS"), ("25", "AOFRC"), ("03", "Mich."), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("8", "Anal"), ("9", "Unknown"), ("7", "Snout"), ("2", "Between Dorsal"), ("5", "Flesh of Back"), ("4", "Abdominal Insertion"), ("6", "Jaw"), ("1", "Anterior Dorsal"), ("3", "Posterior Dorsal"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("3", "Circular Strap Jaw "), ("P", "PIT tag"), ("A", "Internal (Radio)"), ("C", "Cinch"), ("1", "Streamer"), ("7", "Strip Vinyl "), ("8", "Secure Tie"), ("4", "Butt End Jaw "), ("2", "Tubular Vinyl"), ("6", "Coded Wire"), ("B", "Metal Livestock"), ("5", "Anchor"), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="sex", field=models.CharField( blank=True, choices=[ ("9", "Unknown"), ("3", "Hermaphrodite"), ("1", "Male"), ("2", "Female"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="recovery", name="species", field=models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="recoveries", to="tfat.TaggedSpecies", ), ), migrations.AlterField( model_name="report", name="reporting_format", field=models.CharField( choices=[ ("letter", "letter"), ("verbal", "verbal"), ("other", "other"), ("e-mail", "e-mail"), ("dcr", "DCR"), ], default="verbal", max_length=30, verbose_name="Report Format", ), ), migrations.AlterModelOptions( name="joepublic", options={ "ordering": ["last_name", "first_name"], "verbose_name_plural": "Tag Reporters", }, ), migrations.AlterModelManagers( name="taggedspecies", managers=[ ("all_objects", django.db.models.manager.Manager()), ], ), migrations.AlterField( model_name="encounter", name="sex", field=models.CharField( blank=True, choices=[ ("3", "Hermaphrodite"), ("2", "Female"), ("1", "Male"), ("9", "Unknown"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="recovery", name="_tag_colour", field=models.CharField( choices=[ ("7", "White"), ("6", "Silver"), ("1", "Colourless"), ("4", "Green"), ("3", "Red"), ("9", "Unknown"), ("2", "Yellow"), ("5", "Orange"), ], db_column="tag_colour", db_index=True, default="2", max_length=3, verbose_name="Tag Colour", ), ), migrations.AlterField( model_name="recovery", name="_tag_origin", field=models.CharField( choices=[ ("26", "GLLFAS"), ("03", "Mich."), ("99", "Unkn"), ("13", "OntHydro"), ("20", "USGS"), ("98", "Other"), ("02", "NY"), ("04", "UofG"), ("19", "USFWS"), ("25", "AOFRC"), ("05", "UofT"), ("24", "CORA"), ("09", "Minn."), ("10", "Lakehead"), ("08", "ROM"), ("11", "SSFC"), ("07", "Penn."), ("06", "Ohio"), ("01", "MNRF"), ("12", "Priv"), ], db_column="tag_origin", db_index=True, default="01", max_length=3, verbose_name="Tag Origin", ), ), migrations.AlterField( model_name="recovery", name="_tag_position", field=models.CharField( choices=[ ("6", "Jaw"), ("5", "Flesh of Back"), ("2", "Between Dorsal"), ("8", "Anal"), ("4", "Abdominal Insertion"), ("1", "Anterior Dorsal"), ("9", "Unknown"), ("3", "Posterior Dorsal"), ("7", "Snout"), ], db_column="tag_position", db_index=True, default="1", max_length=3, verbose_name="Tag Position", ), ), migrations.AlterField( model_name="recovery", name="_tag_type", field=models.CharField( choices=[ ("8", "Secure Tie"), ("5", "Anchor"), ("6", "Coded Wire"), ("A", "Internal (Radio)"), ("B", "Metal Livestock"), ("C", "Cinch"), ("P", "PIT tag"), ("2", "Tubular Vinyl"), ("4", "Butt End Jaw "), ("3", "Circular Strap Jaw "), ("1", "Streamer"), ("7", "Strip Vinyl "), ], db_column="tag_type", db_index=True, default="1", max_length=3, verbose_name="Tag Type", ), ), migrations.AlterField( model_name="recovery", name="date_flag", field=models.IntegerField( choices=[(1, "Reported"), (0, "Unknown"), (2, "Derived")], default=1, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="recovery", name="latlon_flag", field=models.IntegerField( choices=[(1, "Reported"), (0, "Unknown"), (2, "Derived")], default=1, verbose_name="Spatial Flag", ), ), migrations.AlterField( model_name="recovery", name="sex", field=models.CharField( blank=True, choices=[ ("3", "Hermaphrodite"), ("2", "Female"), ("1", "Male"), ("9", "Unknown"), ], default="9", max_length=3, null=True, verbose_name="Sex", ), ), migrations.AlterField( model_name="report", name="associated_file", field=models.FileField(blank=True, null=True, upload_to="tfat_tag_reports"), ), migrations.AlterField( model_name="report", name="date_flag", field=models.IntegerField( choices=[(1, "Reported"), (0, "Unknown"), (2, "Derived")], default=0, verbose_name="Date Flag", ), ), migrations.AlterField( model_name="report", name="reporting_format", field=models.CharField( choices=[ ("e-mail", "e-mail"), ("other", "other"), ("letter", "letter"), ("dcr", "DCR"), ("verbal", "verbal"), ], default="verbal", max_length=30, verbose_name="Report Format", ), ), ]

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109,893

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0.680592

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0

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109,893

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93

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0

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1

0

1

0

null

0

8

6269df86a0e56f7a7bc59d345338b39a6aabbfed

251

py

Python

colour/plotting/datasets/__init__.py

rift-labs-developer/colour

15112dbe824aab0f21447e0db4a046a28a06f43a

[ "BSD-3-Clause" ]

1,380

2015-01-10T12:30:33.000Z

2022-03-30T10:19:57.000Z

colour/plotting/datasets/__init__.py

rift-labs-developer/colour

15112dbe824aab0f21447e0db4a046a28a06f43a

[ "BSD-3-Clause" ]

638

2015-01-02T10:49:05.000Z

2022-03-29T10:16:22.000Z

colour/plotting/datasets/__init__.py

rift-labs-developer/colour

15112dbe824aab0f21447e0db4a046a28a06f43a

[ "BSD-3-Clause" ]

250

2015-01-21T15:27:19.000Z

2022-03-30T10:23:58.000Z

# -*- coding: utf-8 -*- from .astm_g_173 import (SD_ASTMG173_ETR, SD_ASTMG173_GLOBAL_TILT, SD_ASTMG173_DIRECT_CIRCUMSOLAR) __all__ = [ 'SD_ASTMG173_ETR', 'SD_ASTMG173_GLOBAL_TILT', 'SD_ASTMG173_DIRECT_CIRCUMSOLAR' ]

25.1

66

0.689243

31

251

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0.397351

0.172185

0.198676

0.794702

0

0.111111

0.211155

251

9

67

27.888889

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0

1

0

1

0

1

0

null

0

8

627f22a72ec6d7e5ec56507a8f894c263991e8fe

7,898

py

Python

src/outpost/django/typo3/filters.py

medunigraz/outpost.django.typo3

d3ba82189d78ecae73342707940c91ebe958a29e

[ "BSD-2-Clause" ]

null

src/outpost/django/typo3/filters.py

medunigraz/outpost.django.typo3

d3ba82189d78ecae73342707940c91ebe958a29e

[ "BSD-2-Clause" ]

null

src/outpost/django/typo3/filters.py

medunigraz/outpost.django.typo3

d3ba82189d78ecae73342707940c91ebe958a29e

[ "BSD-2-Clause" ]

null

from django.utils.translation import gettext_lazy as _ from django_filters.rest_framework import filters, filterset from . import models class NewsFilter(filterset.FilterSet): """ ## Filters To filter for exact value matches: ?<fieldname>=<value> For advanced filtering use lookups: ?<fieldname>__<lookup>=<value> Possible lookups: - `datetime`: `gt`, `lt`, `gte`, `lte`, `date` - `title`: `iexact`, `contains`, `icontains`, `startswith`, `istartswith`, `endswith`, `iendswith`, `regex`, `iregex` - `teaser`: `iexact`, `contains`, `icontains`, `startswith`, `istartswith`, `endswith`, `iendswith`, `regex`, `iregex` - `start`: `gt`, `lt`, `gte`, `lte`, `date` - `end`: `gt`, `lt`, `gte`, `lte`, `date` - `author`: `iexact`, `contains`, `icontains`, `startswith`, `istartswith`, `endswith`, `iendswith`, `regex`, `iregex` - `email`: `iexact`, `contains`, `icontains`, `startswith`, `istartswith`, `endswith`, `iendswith`, `regex`, `iregex` - `keywords`: `iexact`, `contains`, `icontains`, `startswith`, `istartswith`, `endswith`, `iendswith`, `regex`, `iregex` - `last_modified`: `gt`, `lt`, `gte`, `lte`, `date` """ language = filters.ModelChoiceFilter( label=_("Language"), queryset=models.Language.objects.all() ) categories = filters.ModelMultipleChoiceFilter( label=_("Categories"), queryset=models.Category.objects.all() ) groups = filters.ModelMultipleChoiceFilter( label=_("Groups"), queryset=models.Group.objects.all() ) class Meta: model = models.News fields = { "datetime": ("exact", "gt", "lt", "gte", "lte", "date"), "title": ( "exact", "iexact", "contains", "icontains", "startswith", "istartswith", "endswith", "iendswith", "regex", "iregex", ), "teaser": ( "exact", "iexact", "contains", "icontains", "startswith", "istartswith", "endswith", "iendswith", "regex", "iregex", ), "start": ("exact", "gt", "lt", "gte", "lte", "date"), "end": ("exact", "gt", "lt", "gte", "lte", "date"), "author": ( "exact", "iexact", "contains", "icontains", "startswith", "istartswith", "endswith", "iendswith", "regex", "iregex", ), "email": ( "exact", "iexact", "contains", "icontains", "startswith", "istartswith", "endswith", "iendswith", "regex", "iregex", ), "keywords": ( "exact", "iexact", "contains", "icontains", "startswith", "istartswith", "endswith", "iendswith", "regex", "iregex", ), "last_modified": ("exact", "gt", "lt", "gte", "lte", "date"), } class EventFilter(filterset.FilterSet): """ ## Filters To filter for exact value matches: ?<fieldname>=<value> For advanced filtering use lookups: ?<fieldname>__<lookup>=<value> Possible lookups: - `title`: `iexact`, `contains`, `icontains`, `startswith`, `istartswith`, `endswith`, `iendswith`, `regex`, `iregex` - `organizer`: `iexact`, `contains`, `icontains`, `startswith`, `istartswith`, `endswith`, `iendswith`, `regex`, `iregex` - `location`: `iexact`, `contains`, `icontains`, `startswith`, `istartswith`, `endswith`, `iendswith`, `regex`, `iregex` - `teaser`: `iexact`, `contains`, `icontains`, `startswith`, `istartswith`, `endswith`, `iendswith`, `regex`, `iregex` - `start`: `exact`, `gt`, `lt`, `gte`, `lte`, `contains`, `startswith` - `end`: `exact`, `gt`, `lt`, `gte`, `lte`, `contains`, `startswith` - `registration_end`: `exact`, `gt`, `lt`, `gte`, `lte`, `contains`, `startswith` - `dfp_points`: `exact`, `gt`, `lt`, `gte`, `lte` - `contact`: `iexact`, `contains`, `icontains`, `startswith`, `istartswith`, `endswith`, `iendswith`, `regex`, `iregex` - `email`: `iexact`, `contains`, `icontains`, `startswith`, `istartswith`, `endswith`, `iendswith`, `regex`, `iregex` - `last_modified`: `exact`, `gt`, `lt`, `gte`, `lte`, `contains`, `startswith` """ language = filters.ModelChoiceFilter( label=_("Language"), queryset=models.Language.objects.all() ) categories = filters.ModelMultipleChoiceFilter( label=_("Categories"), queryset=models.Category.objects.all() ) groups = filters.ModelMultipleChoiceFilter( label=_("Groups"), queryset=models.Group.objects.all() ) class Meta: model = models.Event fields = { "title": ( "exact", "iexact", "contains", "icontains", "startswith", "istartswith", "endswith", "iendswith", "regex", "iregex", ), "organizer": ( "exact", "iexact", "contains", "icontains", "startswith", "istartswith", "endswith", "iendswith", "regex", "iregex", ), "location": ( "exact", "iexact", "contains", "icontains", "startswith", "istartswith", "endswith", "iendswith", "regex", "iregex", ), "teaser": ( "exact", "iexact", "contains", "icontains", "startswith", "istartswith", "endswith", "iendswith", "regex", "iregex", ), "start": ("exact", "gt", "lt", "gte", "lte", "contains", "startswith"), "end": ("exact", "gt", "lt", "gte", "lte", "contains", "startswith"), "registration_end": ( "exact", "gt", "lt", "gte", "lte", "contains", "startswith", ), "dfp_points": ("exact", "lt", "gt", "lte", "gte"), "contact": ( "exact", "iexact", "contains", "icontains", "startswith", "istartswith", "endswith", "iendswith", "regex", "iregex", ), "email": ( "exact", "iexact", "contains", "icontains", "startswith", "istartswith", "endswith", "iendswith", "regex", "iregex", ), "last_modified": ( "exact", "gt", "lt", "gte", "lte", "contains", "startswith", ), }

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null

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1

0

1

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null

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657eb414864dffad74398ae5973a531250bc8abc

82,861

py

Python

msgraph/cli/command_modules/devicescorpmgt/azext_devicescorpmgt/vendored_sdks/devicescorpmgt/operations/_deviceappmanagementmobileappconfigurations_operations.py

microsoftgraph/msgraph-cli-archived

489f70bf4ede1ce67b84bfb31e66da3e4db76062

[ "MIT" ]

null

msgraph/cli/command_modules/devicescorpmgt/azext_devicescorpmgt/vendored_sdks/devicescorpmgt/operations/_deviceappmanagementmobileappconfigurations_operations.py

microsoftgraph/msgraph-cli-archived

489f70bf4ede1ce67b84bfb31e66da3e4db76062

[ "MIT" ]

22

2022-03-29T22:54:37.000Z

2022-03-29T22:55:27.000Z

msgraph/cli/command_modules/devicescorpmgt/azext_devicescorpmgt/vendored_sdks/devicescorpmgt/operations/_deviceappmanagementmobileappconfigurations_operations.py

microsoftgraph/msgraph-cli-archived

489f70bf4ede1ce67b84bfb31e66da3e4db76062

[ "MIT" ]

null

# 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. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- from typing import TYPE_CHECKING import warnings from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error from azure.core.paging import ItemPaged from azure.core.pipeline import PipelineResponse from azure.core.pipeline.transport import HttpRequest, HttpResponse from .. import models if TYPE_CHECKING: # pylint: disable=unused-import,ungrouped-imports from typing import Any, Callable, Dict, Generic, Iterable, List, Optional, TypeVar, Union T = TypeVar('T') ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]] class deviceappmanagementmobileappconfigurationsOperations(object): """deviceappmanagementmobileappconfigurationsOperations operations. You should not instantiate this class directly. Instead, you should create a Client instance that instantiates it for you and attaches it as an attribute. :ivar models: Alias to model classes used in this operation group. :type models: ~devices_corporate_management.models :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. """ models = models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self._config = config def list_assignments( self, managed_device_mobile_app_configuration_id, # type: str orderby=None, # type: Optional[List[Union[str, "models.Enum98"]]] select=None, # type: Optional[List[Union[str, "models.Enum99"]]] expand=None, # type: Optional[List[str]] **kwargs # type: Any ): # type: (...) -> Iterable["models.collectionofmanageddevicemobileappconfigurationassignment"] """Get assignments from deviceAppManagement. Get assignments from deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param orderby: Order items by property values. :type orderby: list[str or ~devices_corporate_management.models.Enum98] :param select: Select properties to be returned. :type select: list[str or ~devices_corporate_management.models.Enum99] :param expand: Expand related entities. :type expand: list[str] :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either collectionofmanageddevicemobileappconfigurationassignment or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~devices_corporate_management.models.collectionofmanageddevicemobileappconfigurationassignment] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.collectionofmanageddevicemobileappconfigurationassignment"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) accept = "application/json" def prepare_request(next_link=None): # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') if not next_link: # Construct URL url = self.list_assignments.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if self._config.top is not None: query_parameters['$top'] = self._serialize.query("self._config.top", self._config.top, 'int', minimum=0) if self._config.skip is not None: query_parameters['$skip'] = self._serialize.query("self._config.skip", self._config.skip, 'int', minimum=0) if self._config.search is not None: query_parameters['$search'] = self._serialize.query("self._config.search", self._config.search, 'str') if self._config.filter is not None: query_parameters['$filter'] = self._serialize.query("self._config.filter", self._config.filter, 'str') if self._config.count is not None: query_parameters['$count'] = self._serialize.query("self._config.count", self._config.count, 'bool') if orderby is not None: query_parameters['$orderby'] = self._serialize.query("orderby", orderby, '[str]', div=',') if select is not None: query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',') if expand is not None: query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',') request = self._client.get(url, query_parameters, header_parameters) else: url = next_link query_parameters = {} # type: Dict[str, Any] request = self._client.get(url, query_parameters, header_parameters) return request def extract_data(pipeline_response): deserialized = self._deserialize('collectionofmanageddevicemobileappconfigurationassignment', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.odata_next_link or None, iter(list_of_elem) def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: error = self._deserialize(models.odataerror, response) map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, model=error) return pipeline_response return ItemPaged( get_next, extract_data ) list_assignments.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/assignments'} # type: ignore def create_assignments( self, managed_device_mobile_app_configuration_id, # type: str body, # type: "models.microsoftgraphmanageddevicemobileappconfigurationassignment" **kwargs # type: Any ): # type: (...) -> "models.microsoftgraphmanageddevicemobileappconfigurationassignment" """Create new navigation property to assignments for deviceAppManagement. Create new navigation property to assignments for deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param body: New navigation property. :type body: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationassignment :keyword callable cls: A custom type or function that will be passed the direct response :return: microsoftgraphmanageddevicemobileappconfigurationassignment, or the result of cls(response) :rtype: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationassignment :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.microsoftgraphmanageddevicemobileappconfigurationassignment"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) content_type = kwargs.pop("content_type", "application/json") accept = "application/json" # Construct URL url = self.create_assignments.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') body_content_kwargs = {} # type: Dict[str, Any] body_content = self._serialize.body(body, 'microsoftgraphmanageddevicemobileappconfigurationassignment') body_content_kwargs['content'] = body_content request = self._client.post(url, query_parameters, header_parameters, **body_content_kwargs) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [201]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) deserialized = self._deserialize('microsoftgraphmanageddevicemobileappconfigurationassignment', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized create_assignments.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/assignments'} # type: ignore def get_assignments( self, managed_device_mobile_app_configuration_id, # type: str managed_device_mobile_app_configuration_assignment_id, # type: str select=None, # type: Optional[List[Union[str, "models.Enum100"]]] expand=None, # type: Optional[List[str]] **kwargs # type: Any ): # type: (...) -> "models.microsoftgraphmanageddevicemobileappconfigurationassignment" """Get assignments from deviceAppManagement. Get assignments from deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param managed_device_mobile_app_configuration_assignment_id: key: id of managedDeviceMobileAppConfigurationAssignment. :type managed_device_mobile_app_configuration_assignment_id: str :param select: Select properties to be returned. :type select: list[str or ~devices_corporate_management.models.Enum100] :param expand: Expand related entities. :type expand: list[str] :keyword callable cls: A custom type or function that will be passed the direct response :return: microsoftgraphmanageddevicemobileappconfigurationassignment, or the result of cls(response) :rtype: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationassignment :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.microsoftgraphmanageddevicemobileappconfigurationassignment"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) accept = "application/json" # Construct URL url = self.get_assignments.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), 'managedDeviceMobileAppConfigurationAssignment-id': self._serialize.url("managed_device_mobile_app_configuration_assignment_id", managed_device_mobile_app_configuration_assignment_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if select is not None: query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',') if expand is not None: query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) deserialized = self._deserialize('microsoftgraphmanageddevicemobileappconfigurationassignment', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_assignments.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/assignments/{managedDeviceMobileAppConfigurationAssignment-id}'} # type: ignore def update_assignments( self, managed_device_mobile_app_configuration_id, # type: str managed_device_mobile_app_configuration_assignment_id, # type: str body, # type: "models.microsoftgraphmanageddevicemobileappconfigurationassignment" **kwargs # type: Any ): # type: (...) -> None """Update the navigation property assignments in deviceAppManagement. Update the navigation property assignments in deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param managed_device_mobile_app_configuration_assignment_id: key: id of managedDeviceMobileAppConfigurationAssignment. :type managed_device_mobile_app_configuration_assignment_id: str :param body: New navigation property values. :type body: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationassignment :keyword callable cls: A custom type or function that will be passed the direct response :return: None, or the result of cls(response) :rtype: None :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType[None] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) content_type = kwargs.pop("content_type", "application/json") accept = "application/json" # Construct URL url = self.update_assignments.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), 'managedDeviceMobileAppConfigurationAssignment-id': self._serialize.url("managed_device_mobile_app_configuration_assignment_id", managed_device_mobile_app_configuration_assignment_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') body_content_kwargs = {} # type: Dict[str, Any] body_content = self._serialize.body(body, 'microsoftgraphmanageddevicemobileappconfigurationassignment') body_content_kwargs['content'] = body_content request = self._client.patch(url, query_parameters, header_parameters, **body_content_kwargs) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) if cls: return cls(pipeline_response, None, {}) update_assignments.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/assignments/{managedDeviceMobileAppConfigurationAssignment-id}'} # type: ignore def delete_assignments( self, managed_device_mobile_app_configuration_id, # type: str managed_device_mobile_app_configuration_assignment_id, # type: str if_match=None, # type: Optional[str] **kwargs # type: Any ): # type: (...) -> None """Delete navigation property assignments for deviceAppManagement. Delete navigation property assignments for deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param managed_device_mobile_app_configuration_assignment_id: key: id of managedDeviceMobileAppConfigurationAssignment. :type managed_device_mobile_app_configuration_assignment_id: str :param if_match: ETag. :type if_match: str :keyword callable cls: A custom type or function that will be passed the direct response :return: None, or the result of cls(response) :rtype: None :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType[None] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) accept = "application/json" # Construct URL url = self.delete_assignments.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), 'managedDeviceMobileAppConfigurationAssignment-id': self._serialize.url("managed_device_mobile_app_configuration_assignment_id", managed_device_mobile_app_configuration_assignment_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] if if_match is not None: header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.delete(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) if cls: return cls(pipeline_response, None, {}) delete_assignments.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/assignments/{managedDeviceMobileAppConfigurationAssignment-id}'} # type: ignore def list_device_statuses( self, managed_device_mobile_app_configuration_id, # type: str orderby=None, # type: Optional[List[Union[str, "models.Enum101"]]] select=None, # type: Optional[List[Union[str, "models.Enum102"]]] expand=None, # type: Optional[List[str]] **kwargs # type: Any ): # type: (...) -> Iterable["models.collectionofmanageddevicemobileappconfigurationdevicestatus"] """Get deviceStatuses from deviceAppManagement. Get deviceStatuses from deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param orderby: Order items by property values. :type orderby: list[str or ~devices_corporate_management.models.Enum101] :param select: Select properties to be returned. :type select: list[str or ~devices_corporate_management.models.Enum102] :param expand: Expand related entities. :type expand: list[str] :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either collectionofmanageddevicemobileappconfigurationdevicestatus or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~devices_corporate_management.models.collectionofmanageddevicemobileappconfigurationdevicestatus] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.collectionofmanageddevicemobileappconfigurationdevicestatus"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) accept = "application/json" def prepare_request(next_link=None): # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') if not next_link: # Construct URL url = self.list_device_statuses.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if self._config.top is not None: query_parameters['$top'] = self._serialize.query("self._config.top", self._config.top, 'int', minimum=0) if self._config.skip is not None: query_parameters['$skip'] = self._serialize.query("self._config.skip", self._config.skip, 'int', minimum=0) if self._config.search is not None: query_parameters['$search'] = self._serialize.query("self._config.search", self._config.search, 'str') if self._config.filter is not None: query_parameters['$filter'] = self._serialize.query("self._config.filter", self._config.filter, 'str') if self._config.count is not None: query_parameters['$count'] = self._serialize.query("self._config.count", self._config.count, 'bool') if orderby is not None: query_parameters['$orderby'] = self._serialize.query("orderby", orderby, '[str]', div=',') if select is not None: query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',') if expand is not None: query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',') request = self._client.get(url, query_parameters, header_parameters) else: url = next_link query_parameters = {} # type: Dict[str, Any] request = self._client.get(url, query_parameters, header_parameters) return request def extract_data(pipeline_response): deserialized = self._deserialize('collectionofmanageddevicemobileappconfigurationdevicestatus', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.odata_next_link or None, iter(list_of_elem) def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: error = self._deserialize(models.odataerror, response) map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, model=error) return pipeline_response return ItemPaged( get_next, extract_data ) list_device_statuses.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/deviceStatuses'} # type: ignore def create_device_statuses( self, managed_device_mobile_app_configuration_id, # type: str body, # type: "models.microsoftgraphmanageddevicemobileappconfigurationdevicestatus" **kwargs # type: Any ): # type: (...) -> "models.microsoftgraphmanageddevicemobileappconfigurationdevicestatus" """Create new navigation property to deviceStatuses for deviceAppManagement. Create new navigation property to deviceStatuses for deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param body: New navigation property. :type body: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationdevicestatus :keyword callable cls: A custom type or function that will be passed the direct response :return: microsoftgraphmanageddevicemobileappconfigurationdevicestatus, or the result of cls(response) :rtype: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationdevicestatus :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.microsoftgraphmanageddevicemobileappconfigurationdevicestatus"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) content_type = kwargs.pop("content_type", "application/json") accept = "application/json" # Construct URL url = self.create_device_statuses.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') body_content_kwargs = {} # type: Dict[str, Any] body_content = self._serialize.body(body, 'microsoftgraphmanageddevicemobileappconfigurationdevicestatus') body_content_kwargs['content'] = body_content request = self._client.post(url, query_parameters, header_parameters, **body_content_kwargs) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [201]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) deserialized = self._deserialize('microsoftgraphmanageddevicemobileappconfigurationdevicestatus', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized create_device_statuses.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/deviceStatuses'} # type: ignore def get_device_statuses( self, managed_device_mobile_app_configuration_id, # type: str managed_device_mobile_app_configuration_device_status_id, # type: str select=None, # type: Optional[List[Union[str, "models.Enum103"]]] expand=None, # type: Optional[List[str]] **kwargs # type: Any ): # type: (...) -> "models.microsoftgraphmanageddevicemobileappconfigurationdevicestatus" """Get deviceStatuses from deviceAppManagement. Get deviceStatuses from deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param managed_device_mobile_app_configuration_device_status_id: key: id of managedDeviceMobileAppConfigurationDeviceStatus. :type managed_device_mobile_app_configuration_device_status_id: str :param select: Select properties to be returned. :type select: list[str or ~devices_corporate_management.models.Enum103] :param expand: Expand related entities. :type expand: list[str] :keyword callable cls: A custom type or function that will be passed the direct response :return: microsoftgraphmanageddevicemobileappconfigurationdevicestatus, or the result of cls(response) :rtype: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationdevicestatus :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.microsoftgraphmanageddevicemobileappconfigurationdevicestatus"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) accept = "application/json" # Construct URL url = self.get_device_statuses.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), 'managedDeviceMobileAppConfigurationDeviceStatus-id': self._serialize.url("managed_device_mobile_app_configuration_device_status_id", managed_device_mobile_app_configuration_device_status_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if select is not None: query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',') if expand is not None: query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) deserialized = self._deserialize('microsoftgraphmanageddevicemobileappconfigurationdevicestatus', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_device_statuses.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/deviceStatuses/{managedDeviceMobileAppConfigurationDeviceStatus-id}'} # type: ignore def update_device_statuses( self, managed_device_mobile_app_configuration_id, # type: str managed_device_mobile_app_configuration_device_status_id, # type: str body, # type: "models.microsoftgraphmanageddevicemobileappconfigurationdevicestatus" **kwargs # type: Any ): # type: (...) -> None """Update the navigation property deviceStatuses in deviceAppManagement. Update the navigation property deviceStatuses in deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param managed_device_mobile_app_configuration_device_status_id: key: id of managedDeviceMobileAppConfigurationDeviceStatus. :type managed_device_mobile_app_configuration_device_status_id: str :param body: New navigation property values. :type body: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationdevicestatus :keyword callable cls: A custom type or function that will be passed the direct response :return: None, or the result of cls(response) :rtype: None :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType[None] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) content_type = kwargs.pop("content_type", "application/json") accept = "application/json" # Construct URL url = self.update_device_statuses.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), 'managedDeviceMobileAppConfigurationDeviceStatus-id': self._serialize.url("managed_device_mobile_app_configuration_device_status_id", managed_device_mobile_app_configuration_device_status_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') body_content_kwargs = {} # type: Dict[str, Any] body_content = self._serialize.body(body, 'microsoftgraphmanageddevicemobileappconfigurationdevicestatus') body_content_kwargs['content'] = body_content request = self._client.patch(url, query_parameters, header_parameters, **body_content_kwargs) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) if cls: return cls(pipeline_response, None, {}) update_device_statuses.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/deviceStatuses/{managedDeviceMobileAppConfigurationDeviceStatus-id}'} # type: ignore def delete_device_statuses( self, managed_device_mobile_app_configuration_id, # type: str managed_device_mobile_app_configuration_device_status_id, # type: str if_match=None, # type: Optional[str] **kwargs # type: Any ): # type: (...) -> None """Delete navigation property deviceStatuses for deviceAppManagement. Delete navigation property deviceStatuses for deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param managed_device_mobile_app_configuration_device_status_id: key: id of managedDeviceMobileAppConfigurationDeviceStatus. :type managed_device_mobile_app_configuration_device_status_id: str :param if_match: ETag. :type if_match: str :keyword callable cls: A custom type or function that will be passed the direct response :return: None, or the result of cls(response) :rtype: None :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType[None] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) accept = "application/json" # Construct URL url = self.delete_device_statuses.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), 'managedDeviceMobileAppConfigurationDeviceStatus-id': self._serialize.url("managed_device_mobile_app_configuration_device_status_id", managed_device_mobile_app_configuration_device_status_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] if if_match is not None: header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.delete(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) if cls: return cls(pipeline_response, None, {}) delete_device_statuses.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/deviceStatuses/{managedDeviceMobileAppConfigurationDeviceStatus-id}'} # type: ignore def get_device_status_summary( self, managed_device_mobile_app_configuration_id, # type: str select=None, # type: Optional[List[Union[str, "models.Enum104"]]] expand=None, # type: Optional[List[str]] **kwargs # type: Any ): # type: (...) -> "models.microsoftgraphmanageddevicemobileappconfigurationdevicesummary" """Get deviceStatusSummary from deviceAppManagement. Get deviceStatusSummary from deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param select: Select properties to be returned. :type select: list[str or ~devices_corporate_management.models.Enum104] :param expand: Expand related entities. :type expand: list[str] :keyword callable cls: A custom type or function that will be passed the direct response :return: microsoftgraphmanageddevicemobileappconfigurationdevicesummary, or the result of cls(response) :rtype: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationdevicesummary :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.microsoftgraphmanageddevicemobileappconfigurationdevicesummary"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) accept = "application/json" # Construct URL url = self.get_device_status_summary.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if select is not None: query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',') if expand is not None: query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) deserialized = self._deserialize('microsoftgraphmanageddevicemobileappconfigurationdevicesummary', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_device_status_summary.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/deviceStatusSummary'} # type: ignore def update_device_status_summary( self, managed_device_mobile_app_configuration_id, # type: str body, # type: "models.microsoftgraphmanageddevicemobileappconfigurationdevicesummary" **kwargs # type: Any ): # type: (...) -> None """Update the navigation property deviceStatusSummary in deviceAppManagement. Update the navigation property deviceStatusSummary in deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param body: New navigation property values. :type body: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationdevicesummary :keyword callable cls: A custom type or function that will be passed the direct response :return: None, or the result of cls(response) :rtype: None :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType[None] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) content_type = kwargs.pop("content_type", "application/json") accept = "application/json" # Construct URL url = self.update_device_status_summary.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') body_content_kwargs = {} # type: Dict[str, Any] body_content = self._serialize.body(body, 'microsoftgraphmanageddevicemobileappconfigurationdevicesummary') body_content_kwargs['content'] = body_content request = self._client.patch(url, query_parameters, header_parameters, **body_content_kwargs) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) if cls: return cls(pipeline_response, None, {}) update_device_status_summary.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/deviceStatusSummary'} # type: ignore def delete_device_status_summary( self, managed_device_mobile_app_configuration_id, # type: str if_match=None, # type: Optional[str] **kwargs # type: Any ): # type: (...) -> None """Delete navigation property deviceStatusSummary for deviceAppManagement. Delete navigation property deviceStatusSummary for deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param if_match: ETag. :type if_match: str :keyword callable cls: A custom type or function that will be passed the direct response :return: None, or the result of cls(response) :rtype: None :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType[None] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) accept = "application/json" # Construct URL url = self.delete_device_status_summary.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] if if_match is not None: header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.delete(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) if cls: return cls(pipeline_response, None, {}) delete_device_status_summary.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/deviceStatusSummary'} # type: ignore def assign( self, managed_device_mobile_app_configuration_id, # type: str body, # type: "models.paths1pwcjs5deviceappmanagementmobileappconfigurationsmanageddevicemobileappconfigurationidmicrosoftgraphassignpostrequestbodycontentapplicationjsonschema" **kwargs # type: Any ): # type: (...) -> None """Invoke action assign. Invoke action assign. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param body: Action parameters. :type body: ~devices_corporate_management.models.paths1pwcjs5deviceappmanagementmobileappconfigurationsmanageddevicemobileappconfigurationidmicrosoftgraphassignpostrequestbodycontentapplicationjsonschema :keyword callable cls: A custom type or function that will be passed the direct response :return: None, or the result of cls(response) :rtype: None :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType[None] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) content_type = kwargs.pop("content_type", "application/json") accept = "application/json" # Construct URL url = self.assign.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') body_content_kwargs = {} # type: Dict[str, Any] body_content = self._serialize.body(body, 'paths1pwcjs5deviceappmanagementmobileappconfigurationsmanageddevicemobileappconfigurationidmicrosoftgraphassignpostrequestbodycontentapplicationjsonschema') body_content_kwargs['content'] = body_content request = self._client.post(url, query_parameters, header_parameters, **body_content_kwargs) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) if cls: return cls(pipeline_response, None, {}) assign.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/microsoft.graph.assign'} # type: ignore def list_user_statuses( self, managed_device_mobile_app_configuration_id, # type: str orderby=None, # type: Optional[List[Union[str, "models.Enum105"]]] select=None, # type: Optional[List[Union[str, "models.Enum106"]]] expand=None, # type: Optional[List[str]] **kwargs # type: Any ): # type: (...) -> Iterable["models.collectionofmanageddevicemobileappconfigurationuserstatus"] """Get userStatuses from deviceAppManagement. Get userStatuses from deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param orderby: Order items by property values. :type orderby: list[str or ~devices_corporate_management.models.Enum105] :param select: Select properties to be returned. :type select: list[str or ~devices_corporate_management.models.Enum106] :param expand: Expand related entities. :type expand: list[str] :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either collectionofmanageddevicemobileappconfigurationuserstatus or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~devices_corporate_management.models.collectionofmanageddevicemobileappconfigurationuserstatus] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.collectionofmanageddevicemobileappconfigurationuserstatus"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) accept = "application/json" def prepare_request(next_link=None): # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') if not next_link: # Construct URL url = self.list_user_statuses.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if self._config.top is not None: query_parameters['$top'] = self._serialize.query("self._config.top", self._config.top, 'int', minimum=0) if self._config.skip is not None: query_parameters['$skip'] = self._serialize.query("self._config.skip", self._config.skip, 'int', minimum=0) if self._config.search is not None: query_parameters['$search'] = self._serialize.query("self._config.search", self._config.search, 'str') if self._config.filter is not None: query_parameters['$filter'] = self._serialize.query("self._config.filter", self._config.filter, 'str') if self._config.count is not None: query_parameters['$count'] = self._serialize.query("self._config.count", self._config.count, 'bool') if orderby is not None: query_parameters['$orderby'] = self._serialize.query("orderby", orderby, '[str]', div=',') if select is not None: query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',') if expand is not None: query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',') request = self._client.get(url, query_parameters, header_parameters) else: url = next_link query_parameters = {} # type: Dict[str, Any] request = self._client.get(url, query_parameters, header_parameters) return request def extract_data(pipeline_response): deserialized = self._deserialize('collectionofmanageddevicemobileappconfigurationuserstatus', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.odata_next_link or None, iter(list_of_elem) def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: error = self._deserialize(models.odataerror, response) map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, model=error) return pipeline_response return ItemPaged( get_next, extract_data ) list_user_statuses.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/userStatuses'} # type: ignore def create_user_statuses( self, managed_device_mobile_app_configuration_id, # type: str body, # type: "models.microsoftgraphmanageddevicemobileappconfigurationuserstatus" **kwargs # type: Any ): # type: (...) -> "models.microsoftgraphmanageddevicemobileappconfigurationuserstatus" """Create new navigation property to userStatuses for deviceAppManagement. Create new navigation property to userStatuses for deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param body: New navigation property. :type body: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationuserstatus :keyword callable cls: A custom type or function that will be passed the direct response :return: microsoftgraphmanageddevicemobileappconfigurationuserstatus, or the result of cls(response) :rtype: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationuserstatus :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.microsoftgraphmanageddevicemobileappconfigurationuserstatus"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) content_type = kwargs.pop("content_type", "application/json") accept = "application/json" # Construct URL url = self.create_user_statuses.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') body_content_kwargs = {} # type: Dict[str, Any] body_content = self._serialize.body(body, 'microsoftgraphmanageddevicemobileappconfigurationuserstatus') body_content_kwargs['content'] = body_content request = self._client.post(url, query_parameters, header_parameters, **body_content_kwargs) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [201]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) deserialized = self._deserialize('microsoftgraphmanageddevicemobileappconfigurationuserstatus', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized create_user_statuses.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/userStatuses'} # type: ignore def get_user_statuses( self, managed_device_mobile_app_configuration_id, # type: str managed_device_mobile_app_configuration_user_status_id, # type: str select=None, # type: Optional[List[Union[str, "models.Enum107"]]] expand=None, # type: Optional[List[str]] **kwargs # type: Any ): # type: (...) -> "models.microsoftgraphmanageddevicemobileappconfigurationuserstatus" """Get userStatuses from deviceAppManagement. Get userStatuses from deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param managed_device_mobile_app_configuration_user_status_id: key: id of managedDeviceMobileAppConfigurationUserStatus. :type managed_device_mobile_app_configuration_user_status_id: str :param select: Select properties to be returned. :type select: list[str or ~devices_corporate_management.models.Enum107] :param expand: Expand related entities. :type expand: list[str] :keyword callable cls: A custom type or function that will be passed the direct response :return: microsoftgraphmanageddevicemobileappconfigurationuserstatus, or the result of cls(response) :rtype: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationuserstatus :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.microsoftgraphmanageddevicemobileappconfigurationuserstatus"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) accept = "application/json" # Construct URL url = self.get_user_statuses.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), 'managedDeviceMobileAppConfigurationUserStatus-id': self._serialize.url("managed_device_mobile_app_configuration_user_status_id", managed_device_mobile_app_configuration_user_status_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if select is not None: query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',') if expand is not None: query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) deserialized = self._deserialize('microsoftgraphmanageddevicemobileappconfigurationuserstatus', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_user_statuses.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/userStatuses/{managedDeviceMobileAppConfigurationUserStatus-id}'} # type: ignore def update_user_statuses( self, managed_device_mobile_app_configuration_id, # type: str managed_device_mobile_app_configuration_user_status_id, # type: str body, # type: "models.microsoftgraphmanageddevicemobileappconfigurationuserstatus" **kwargs # type: Any ): # type: (...) -> None """Update the navigation property userStatuses in deviceAppManagement. Update the navigation property userStatuses in deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param managed_device_mobile_app_configuration_user_status_id: key: id of managedDeviceMobileAppConfigurationUserStatus. :type managed_device_mobile_app_configuration_user_status_id: str :param body: New navigation property values. :type body: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationuserstatus :keyword callable cls: A custom type or function that will be passed the direct response :return: None, or the result of cls(response) :rtype: None :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType[None] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) content_type = kwargs.pop("content_type", "application/json") accept = "application/json" # Construct URL url = self.update_user_statuses.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), 'managedDeviceMobileAppConfigurationUserStatus-id': self._serialize.url("managed_device_mobile_app_configuration_user_status_id", managed_device_mobile_app_configuration_user_status_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') body_content_kwargs = {} # type: Dict[str, Any] body_content = self._serialize.body(body, 'microsoftgraphmanageddevicemobileappconfigurationuserstatus') body_content_kwargs['content'] = body_content request = self._client.patch(url, query_parameters, header_parameters, **body_content_kwargs) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) if cls: return cls(pipeline_response, None, {}) update_user_statuses.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/userStatuses/{managedDeviceMobileAppConfigurationUserStatus-id}'} # type: ignore def delete_user_statuses( self, managed_device_mobile_app_configuration_id, # type: str managed_device_mobile_app_configuration_user_status_id, # type: str if_match=None, # type: Optional[str] **kwargs # type: Any ): # type: (...) -> None """Delete navigation property userStatuses for deviceAppManagement. Delete navigation property userStatuses for deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param managed_device_mobile_app_configuration_user_status_id: key: id of managedDeviceMobileAppConfigurationUserStatus. :type managed_device_mobile_app_configuration_user_status_id: str :param if_match: ETag. :type if_match: str :keyword callable cls: A custom type or function that will be passed the direct response :return: None, or the result of cls(response) :rtype: None :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType[None] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) accept = "application/json" # Construct URL url = self.delete_user_statuses.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), 'managedDeviceMobileAppConfigurationUserStatus-id': self._serialize.url("managed_device_mobile_app_configuration_user_status_id", managed_device_mobile_app_configuration_user_status_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] if if_match is not None: header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.delete(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) if cls: return cls(pipeline_response, None, {}) delete_user_statuses.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/userStatuses/{managedDeviceMobileAppConfigurationUserStatus-id}'} # type: ignore def get_user_status_summary( self, managed_device_mobile_app_configuration_id, # type: str select=None, # type: Optional[List[Union[str, "models.Enum108"]]] expand=None, # type: Optional[List[str]] **kwargs # type: Any ): # type: (...) -> "models.microsoftgraphmanageddevicemobileappconfigurationusersummary" """Get userStatusSummary from deviceAppManagement. Get userStatusSummary from deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param select: Select properties to be returned. :type select: list[str or ~devices_corporate_management.models.Enum108] :param expand: Expand related entities. :type expand: list[str] :keyword callable cls: A custom type or function that will be passed the direct response :return: microsoftgraphmanageddevicemobileappconfigurationusersummary, or the result of cls(response) :rtype: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationusersummary :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.microsoftgraphmanageddevicemobileappconfigurationusersummary"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) accept = "application/json" # Construct URL url = self.get_user_status_summary.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] if select is not None: query_parameters['$select'] = self._serialize.query("select", select, '[str]', div=',') if expand is not None: query_parameters['$expand'] = self._serialize.query("expand", expand, '[str]', div=',') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) deserialized = self._deserialize('microsoftgraphmanageddevicemobileappconfigurationusersummary', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get_user_status_summary.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/userStatusSummary'} # type: ignore def update_user_status_summary( self, managed_device_mobile_app_configuration_id, # type: str body, # type: "models.microsoftgraphmanageddevicemobileappconfigurationusersummary" **kwargs # type: Any ): # type: (...) -> None """Update the navigation property userStatusSummary in deviceAppManagement. Update the navigation property userStatusSummary in deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param body: New navigation property values. :type body: ~devices_corporate_management.models.microsoftgraphmanageddevicemobileappconfigurationusersummary :keyword callable cls: A custom type or function that will be passed the direct response :return: None, or the result of cls(response) :rtype: None :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType[None] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) content_type = kwargs.pop("content_type", "application/json") accept = "application/json" # Construct URL url = self.update_user_status_summary.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Content-Type'] = self._serialize.header("content_type", content_type, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') body_content_kwargs = {} # type: Dict[str, Any] body_content = self._serialize.body(body, 'microsoftgraphmanageddevicemobileappconfigurationusersummary') body_content_kwargs['content'] = body_content request = self._client.patch(url, query_parameters, header_parameters, **body_content_kwargs) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) if cls: return cls(pipeline_response, None, {}) update_user_status_summary.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/userStatusSummary'} # type: ignore def delete_user_status_summary( self, managed_device_mobile_app_configuration_id, # type: str if_match=None, # type: Optional[str] **kwargs # type: Any ): # type: (...) -> None """Delete navigation property userStatusSummary for deviceAppManagement. Delete navigation property userStatusSummary for deviceAppManagement. :param managed_device_mobile_app_configuration_id: key: id of managedDeviceMobileAppConfiguration. :type managed_device_mobile_app_configuration_id: str :param if_match: ETag. :type if_match: str :keyword callable cls: A custom type or function that will be passed the direct response :return: None, or the result of cls(response) :rtype: None :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType[None] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) accept = "application/json" # Construct URL url = self.delete_user_status_summary.metadata['url'] # type: ignore path_format_arguments = { 'managedDeviceMobileAppConfiguration-id': self._serialize.url("managed_device_mobile_app_configuration_id", managed_device_mobile_app_configuration_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] # Construct headers header_parameters = {} # type: Dict[str, Any] if if_match is not None: header_parameters['If-Match'] = self._serialize.header("if_match", if_match, 'str') header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.delete(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [204]: map_error(status_code=response.status_code, response=response, error_map=error_map) error = self._deserialize(models.odataerror, response) raise HttpResponseError(response=response, model=error) if cls: return cls(pipeline_response, None, {}) delete_user_status_summary.metadata = {'url': '/deviceAppManagement/mobileAppConfigurations/{managedDeviceMobileAppConfiguration-id}/userStatusSummary'} # type: ignore

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65b98649d65bfcb789e572c99c1e70cef590bcbb

206

py

Python

pages/models/validations.py

kevin-klein/101wiki

8647271c00e8e9d954df2e43ddbf12f5f3d062be

[ "MIT" ]

null

pages/models/validations.py

kevin-klein/101wiki

8647271c00e8e9d954df2e43ddbf12f5f3d062be

[ "MIT" ]

1

2020-02-12T00:17:34.000Z

pages/models/validations.py

kevin-klein/101wiki

8647271c00e8e9d954df2e43ddbf12f5f3d062be

[ "MIT" ]

null

class ValidationMessage(object): pass class ValidationInfo(ValidationMessage): def message(self): return '' class ValidationError(ValidationMessage): def message(self): pass

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65e8316224293026fdd4faaf606f62cd41ff0eeb

206

py

Python

lessons/error_handling/exception_hierarchy.py

eliranM98/python_course

d9431dd6c0f27fca8ca052cc2a821ed0b883136c

[ "MIT" ]

6

2019-03-29T06:14:53.000Z

2021-10-15T23:42:36.000Z

lessons/error_handling/exception_hierarchy.py

eliranM98/python_course

d9431dd6c0f27fca8ca052cc2a821ed0b883136c

[ "MIT" ]

4

2019-09-06T10:03:40.000Z

2022-03-11T23:30:55.000Z

lessons/error_handling/exception_hierarchy.py

eliranM98/python_course

d9431dd6c0f27fca8ca052cc2a821ed0b883136c

[ "MIT" ]

12

2019-06-20T19:34:52.000Z

2021-10-15T23:42:39.000Z

# run in debug try: try: try: raise Exception('hi') except Exception as e: raise e except Exception as e: raise e except Exception as e: print(e)

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null

0

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7

028e9ada93fb1a58e29c803a0c545bd598dd934c

2,202

py

Python

tests/test_core.py

matsuren/gm_counter_simulator

c396b36ab3a30593ec86a79eefac5761397c1d33

[ "MIT" ]

null

tests/test_core.py

matsuren/gm_counter_simulator

c396b36ab3a30593ec86a79eefac5761397c1d33

[ "MIT" ]

null

tests/test_core.py

matsuren/gm_counter_simulator

c396b36ab3a30593ec86a79eefac5761397c1d33

[ "MIT" ]

1

2022-02-16T18:17:11.000Z

import numpy as np import pytest from gm_simulator import Detector, Source, World @pytest.mark.parametrize("dist", [-1, -0.5, 0.5, 1]) @pytest.mark.parametrize("q", [1.0, 2.0, 3.0]) def test_detector_singlesrc_count(dist, q): # q: Source intensity # dist: Distance between source and detector # TODO statistic method for testing np.random.seed(1234) N = 200 # Source location pt = np.array([1.0, 0.0, 0.0]) # Detector info duration = 2 detect_factor = 5 # Construct world world = World() world.add_source(Source(loc=pt.tolist(), intensity=q)) # Expected values expected = duration * detect_factor * q / dist / dist for i in range(3): diff_vec = np.array([0.0, 0.0, 0.0]) diff_vec[i] = dist d_loc = pt + diff_vec detector = Detector(loc=d_loc, duration=duration, factor=detect_factor) cnt_mean = np.array([world.get_measuments(detector) for _ in range(N)]).mean() error = abs((cnt_mean - expected)) / expected assert error < 0.05 @pytest.mark.parametrize("N_src", [2, 3]) @pytest.mark.parametrize("dist", [0.5, 1]) @pytest.mark.parametrize("q", [1.0, 2.0, 3.0]) def test_detector_multisrc_count(N_src, dist, q): # N_src: Number of source # q: Source intensity # dist: Distance between source and detector # TODO statistic method for testing np.random.seed(1234) N = 200 # Source location pt = np.array([1.0, 0.0, 0.0]) # Detector info duration = 2 detect_factor = 5 # Construct world world = World() for _ in range(N_src): world.add_source(Source(loc=pt.tolist(), intensity=q)) # Expected values expected = N_src * duration * detect_factor * q / dist / dist for i in range(3): diff_vec = np.array([0.0, 0.0, 0.0]) diff_vec[i] = dist d_loc = pt + diff_vec detector = Detector(loc=d_loc, duration=duration, factor=detect_factor) cnt_mean = np.array([world.get_measuments(detector) for _ in range(N)]).mean() error = abs((cnt_mean - expected)) / expected assert error < 0.05

31.457143

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0.6099

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2,202

4.087774

0.216301

0.027607

0.032209

0.030675

0.828221

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null

0

1

0

8

02aaff668024f8cf5a7a526078601a47852169e4

9,259

py

Python

totter/evolution/algorithms/KeystrokeGA.py

zachdj/totter

7ac9fe0302e1a499a661b11b771df22dd7bf5aad

[ "MIT" ]

null

totter/evolution/algorithms/KeystrokeGA.py

zachdj/totter

7ac9fe0302e1a499a661b11b771df22dd7bf5aad

[ "MIT" ]

8

2018-11-08T01:11:50.000Z

2018-11-27T03:30:19.000Z

totter/evolution/algorithms/KeystrokeGA.py

zachdj/totter

7ac9fe0302e1a499a661b11b771df22dd7bf5aad

[ "MIT" ]

null

""" GAs that use the Bitmask + duration representation """ import copy import pyautogui import random import time from totter.evolution.GeneticAlgorithm import GeneticAlgorithm from totter.evolution.CellularGA import CellularGA ALPHABET = list(('q', 'w', 'o', 'p')) class KeystrokeGA(GeneticAlgorithm): def generate_random_genome(self): """ Representation: sequence of keys from the alphabet [q, w, o, p] """ # initial length of the genome is chosen randomly from 15 to 30 genome_size = random.choice(range(15, 31)) # choose a random sequence of keystrokes of length `genome_size` genome = random.choices(ALPHABET, k=genome_size) return genome def genome_to_phenotype(self, genome): def phenotype(): for key in genome: pyautogui.keyDown(key) time.sleep(0.150) pyautogui.keyUp(key) return phenotype def compute_fitness(self, distance_run, run_time): """ Fitness: distance + speed """ speed = distance_run*60 / run_time # meters per minute if distance_run > 10: fitness = distance_run + speed else: fitness = distance_run return fitness def select_parents(self, population, n): """ Tournament selection with k=5 """ parents = list() for i in range(0, n): competitors = random.sample(population.individuals, 5) winner = max(competitors, key=lambda individual: individual.fitness) parents.append(winner) return parents def crossover(self, parent1, parent2): """ 50% 2-point crossover, 50% cut-and-splice """ if random.random() < 0.5: # 2-point crossover if len(parent1) < 3 or len(parent2) < 3: print(f'Skipping crossover. Cannot perform 2-point xover with {parent1} and {parent2}') return parent1, parent2 else: # we have to choose a crossover point smaller than the length of the shortest parent maximum_crossover_point = min(len(parent1), len(parent2)) - 1 crossover_point1 = random.choice(range(0, maximum_crossover_point - 1)) crossover_point2 = random.choice(range(crossover_point1+1, maximum_crossover_point)) child1 = parent1[:crossover_point1] + parent2[crossover_point1:crossover_point2] + parent1[crossover_point2:] child2 = parent2[:crossover_point1] + parent1[crossover_point1:crossover_point2] + parent2[crossover_point2:] return child1, child2 else: # cut-and-splice cut_point1 = random.choice(range(0, len(parent1)-1)) cut_point2 = random.choice(range(0, len(parent2)-1)) child1 = parent1[:cut_point1] + parent2[cut_point2:] child2 = parent2[:cut_point2] + parent1[cut_point1:] return child1, child2 def mutate(self, genome): """ Mutation - Options: With 25% probability, change one of the characters to another randomly selected character With 25% probability, insert a random character at a random position With 25% probability, swap two characters With 25% probability, delete a randomly-selected character """ mutant = copy.deepcopy(genome) selected_gene = random.choice(range(len(mutant))) decider = random.random() if decider < 0.25: # change to randomly selected character new_character = random.choice(ALPHABET) mutant[selected_gene] = new_character elif decider < 0.5: # insert random character new_character = random.choice(ALPHABET) mutant = mutant[:selected_gene] + [new_character] + mutant[selected_gene:] elif decider < 0.75: # swap two characters swap_pos = random.choice(range(len(mutant))) mutant[selected_gene], mutant[swap_pos] = mutant[swap_pos], mutant[selected_gene] else: # delete a gene if selected_gene != len(mutant) - 1: mutant = mutant[:selected_gene] + mutant[selected_gene+1:] else: mutant = mutant[:selected_gene] return mutant def repair(self, genome): if len(genome) <= 2: # duplicate the genome several times so it can be used in crossover once again return genome[:] + genome[:] + genome[:] + genome[:] return genome def replace(self, population, candidate): """ Replacement - replace one of the five worst members of the population """ # population is a list of `Individual` objects # sort in order of fitness sorted_pop = sorted(population.individuals, key=lambda individual: individual.fitness) # choose one of the five members with worst fitness replacement = random.choice(sorted_pop[0:5]) # find the index of the chosen member replacement_index = population.individuals.index(replacement) return replacement_index class CellularKeystrokeGA(CellularGA): def generate_random_genome(self): """ Representation: sequence of keys from the alphabet [q, w, o, p] """ # initial length of the genome is chosen randomly from 15 to 30 genome_size = random.choice(range(15, 30)) # choose a random sequence of keystrokes of length `genome_size` genome = random.choices(ALPHABET, k=genome_size) return genome def genome_to_phenotype(self, genome): def phenotype(): for key in genome: pyautogui.keyDown(key) time.sleep(0.150) pyautogui.keyUp(key) return phenotype def compute_fitness(self, distance_run, run_time): """ Fitness: distance + speed """ speed = distance_run*60 / run_time # meters per minute if distance_run > 10: fitness = distance_run + speed else: fitness = distance_run return fitness def crossover(self, parent1, parent2): """ 50% 2-point crossover, 50% cut-and-splice """ if random.random() < 0.5: # 2-point crossover if len(parent1) < 3 or len(parent2) < 3: print(f'Skipping crossover. Cannot perform 2-point xover with {parent1} and {parent2}') return parent1, parent2 else: # we have to choose a crossover point smaller than the length of the shortest parent maximum_crossover_point = min(len(parent1), len(parent2)) - 1 crossover_point1 = random.choice(range(0, maximum_crossover_point - 1)) crossover_point2 = random.choice(range(crossover_point1+1, maximum_crossover_point)) child1 = parent1[:crossover_point1] + parent2[crossover_point1:crossover_point2] + parent1[crossover_point2:] child2 = parent2[:crossover_point1] + parent1[crossover_point1:crossover_point2] + parent2[crossover_point2:] return child1, child2 else: # cut-and-splice cut_point1 = random.choice(range(0, len(parent1)-1)) cut_point2 = random.choice(range(0, len(parent2)-1)) child1 = parent1[:cut_point1] + parent2[cut_point2:] child2 = parent2[:cut_point2] + parent1[cut_point1:] return child1, child2 def mutate(self, genome): """ Mutation - Options: With 25% probability, change one of the characters to another randomly selected character With 25% probability, insert a random character at a random position With 25% probability, swap two characters With 25% probability, delete a randomly-selected character """ mutant = copy.deepcopy(genome) selected_gene = random.choice(range(len(mutant))) decider = random.random() if decider < 0.25: # change to randomly selected character new_character = random.choice(ALPHABET) mutant[selected_gene] = new_character elif decider < 0.5: # insert random character new_character = random.choice(ALPHABET) mutant = mutant[:selected_gene] + [new_character] + mutant[selected_gene:] elif decider < 0.75: # swap two characters swap_pos = random.choice(range(len(mutant))) mutant[selected_gene], mutant[swap_pos] = mutant[swap_pos], mutant[selected_gene] else: # delete a gene if selected_gene != len(mutant) - 1: mutant = mutant[:selected_gene] + mutant[selected_gene+1:] else: mutant = mutant[:selected_gene] return mutant def repair(self, genome): if len(genome) <= 2: # duplicate the genome several times so it can be used in crossover once again return genome[:] + genome[:] + genome[:] + genome[:] return genome if __name__ == '__main__': ga = CellularKeystrokeGA(pop_size=1, eval_time_limit=2) print(ga.ALPHABET)

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9,259

5.28125

0.16572

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false

0

0.042254

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0.021127

0

null

0

1

0

1

0

null

0

7

02e0cce7bf42caed1c10c4485c3381f673ed24d6

44,493

py

Python

pubsub/animation/mario.py

yanigisawa/coffee-scale

8131f5485646fa6b9803ca13b3e20d02d9debfce

[ "MIT" ]

13

2015-07-29T12:07:40.000Z

2018-06-29T13:21:41.000Z

pubsub/animation/mario.py

yanigisawa/coffee-scale

8131f5485646fa6b9803ca13b3e20d02d9debfce

[ "MIT" ]

4

2015-05-29T11:44:43.000Z

2018-07-25T20:20:10.000Z

pubsub/animation/mario.py

yanigisawa/coffee-scale

8131f5485646fa6b9803ca13b3e20d02d9debfce

[ "MIT" ]

7

2016-01-19T21:56:08.000Z

2018-04-25T04:34:32.000Z

#!/usr/bin/env python from samplebase import SampleBase import time import logging log = logging.getLogger() class Pixel(): def __init__(self, *args): self.x = args[0] self.y = args[1] self.red = args[2] self.green = args[3] self.blue = args[4] class Mario(SampleBase): red = (155, 0, 0) yellow = (25, 25, 0) flesh = (155, 155, 0) brown = (32, 5, 0) blue = (0, 0, 155) _halt = None def __init__(self, *args, **kwargs): super(Mario, self).__init__(*args, **kwargs) def clearScreen(self, x = 0): minx = max(x - 4, 0) maxX = min(x + 16, 64) for i in range(minx, maxX): for j in range(0, 16): self.canvas.SetPixel(i, j, 0, 0, 0) def run(self): x, y, step = 10, 0, 1 count = 0 self.canvas = self.matrix.CreateFrameCanvas() inverse = False while True: if self._halt and self._halt.isSet(): log.info('Halting Mario') break self.clearScreen(x) count += 1 if count == 6: count = 2 if count == 1: self.draw(self.getRun1(x, y, inverse)) elif count == 2: self.draw(self.getRun2(x, y, inverse)) elif count == 3: self.draw(self.getRun3(x, y, inverse)) elif count == 4: self.draw(self.getRun4(x, y, inverse)) elif count == 5: self.draw(self.getRun5(x, y, inverse)) else: count = 0 # if count % 2 == 0: # self.draw(self.getStanding(x, y, inverse)) # else: # # self.draw(self.getStanding(x, y, inverse)) self.draw(self.getJumping(x, y, inverse)) time.sleep(0.2) x += step if x > 65 or x < -14: step *= -1 inverse = not inverse self.canvas = self.matrix.SwapOnVSync(self.canvas) def draw(self, pixels): for p in pixels: self.canvas.SetPixel(p.x, p.y, p.red, p.green, p.blue) def getRun1(self, x, y, inverse = False): pixels = [] pixels.append(Pixel(x + 4, y + 0, *self.red)) pixels.append(Pixel(x + 5, y + 0, *self.red)) pixels.append(Pixel(x + 6, y + 0, *self.red)) pixels.append(Pixel(x + 7, y + 0, *self.red)) pixels.append(Pixel(x + 8, y + 0, *self.red)) pixels.append(Pixel(x + 3, y + 1, *self.red)) pixels.append(Pixel(x + 4, y + 1, *self.red)) pixels.append(Pixel(x + 5, y + 1, *self.red)) pixels.append(Pixel(x + 6, y + 1, *self.red)) pixels.append(Pixel(x + 7, y + 1, *self.red)) pixels.append(Pixel(x + 8, y + 1, *self.red)) pixels.append(Pixel(x + 9, y + 1, *self.red)) pixels.append(Pixel(x + 10, y + 1, *self.red)) pixels.append(Pixel(x + 11, y + 1, *self.red)) # Head / Hair) pixels.append(Pixel(x + 3, y + 2, *self.brown)) pixels.append(Pixel(x + 4, y + 2, *self.brown)) pixels.append(Pixel(x + 5, y + 2, *self.brown)) # Skin) pixels.append(Pixel(x + 6, y + 2, *self.flesh) ) pixels.append(Pixel(x + 7, y + 2, *self.flesh) ) pixels.append(Pixel(x + 8, y + 2, *self.brown)) pixels.append(Pixel(x + 9, y + 2, *self.flesh)) pixels.append(Pixel(x + 2, y + 3, *self.brown)) pixels.append(Pixel(x + 3, y + 3, *self.flesh)) pixels.append(Pixel(x + 4, y + 3, *self.brown)) pixels.append(Pixel(x + 5, y + 3, *self.flesh) ) pixels.append(Pixel(x + 6, y + 3, *self.flesh) ) pixels.append(Pixel(x + 7, y + 3, *self.flesh) ) pixels.append(Pixel(x + 8, y + 3, *self.brown)) pixels.append(Pixel(x + 9, y + 3, *self.flesh)) pixels.append(Pixel(x + 10, y + 3, *self.flesh)) pixels.append(Pixel(x + 11, y + 3,*self.flesh)) pixels.append(Pixel(x + 2, y + 4, *self.brown)) pixels.append(Pixel(x + 3, y + 4, *self.flesh)) pixels.append(Pixel(x + 4, y + 4, *self.brown)) pixels.append(Pixel(x + 5, y + 4, *self.brown)) pixels.append(Pixel(x + 6, y + 4, *self.flesh)) pixels.append(Pixel(x + 7, y + 4, *self.flesh)) pixels.append(Pixel(x + 8, y + 4, *self.flesh)) pixels.append(Pixel(x + 9, y + 4, *self.brown)) pixels.append(Pixel(x + 10, y + 4, *self.flesh)) pixels.append(Pixel(x + 11, y + 4, *self.flesh)) pixels.append(Pixel(x + 12, y + 4, *self.flesh)) pixels.append(Pixel(x + 2, y + 5, *self.brown)) pixels.append(Pixel(x + 3, y + 5, *self.brown)) pixels.append(Pixel(x + 4, y + 5, *self.flesh)) pixels.append(Pixel(x + 5, y + 5, *self.flesh)) pixels.append(Pixel(x + 6, y + 5, *self.flesh)) pixels.append(Pixel(x + 7, y + 5, *self.flesh)) pixels.append(Pixel(x + 8, y + 5, *self.brown)) pixels.append(Pixel(x + 9, y + 5, *self.brown)) pixels.append(Pixel(x + 10, y + 5, *self.brown)) pixels.append(Pixel(x + 11, y + 5, *self.brown)) pixels.append(Pixel(x + 3, y + 6, *self.flesh)) pixels.append(Pixel(x + 4, y + 6, *self.flesh)) pixels.append(Pixel(x + 5, y + 6, *self.flesh)) pixels.append(Pixel(x + 6, y + 6, *self.flesh)) pixels.append(Pixel(x + 7, y + 6, *self.flesh)) pixels.append(Pixel(x + 8, y + 6, *self.flesh)) pixels.append(Pixel(x + 9, y + 6, *self.flesh)) # Body) pixels.append(Pixel(x + 2, y + 7, *self.red)) pixels.append(Pixel(x + 3, y + 7, *self.red)) pixels.append(Pixel(x + 4, y + 7, *self.red)) pixels.append(Pixel(x + 5, y + 7, *self.blue)) pixels.append(Pixel(x + 6, y + 7, *self.red)) pixels.append(Pixel(x + 7, y + 7, *self.red)) pixels.append(Pixel(x + 1, y + 8, *self.red)) pixels.append(Pixel(x + 2, y + 8, *self.red)) pixels.append(Pixel(x + 3, y + 8, *self.red)) pixels.append(Pixel(x + 4, y + 8, *self.red)) pixels.append(Pixel(x + 5, y + 8, *self.blue)) pixels.append(Pixel(x + 6, y + 8, *self.blue)) pixels.append(Pixel(x + 7, y + 8, *self.red)) pixels.append(Pixel(x + 8, y + 8, *self.red)) pixels.append(Pixel(x + 1, y + 9, *self.red)) pixels.append(Pixel(x + 2, y + 9, *self.red)) pixels.append(Pixel(x + 3, y + 9, *self.red)) pixels.append(Pixel(x + 4, y + 9, *self.blue)) pixels.append(Pixel(x + 5, y + 9, *self.blue)) pixels.append(Pixel(x + 6, y + 9, *self.yellow)) pixels.append(Pixel(x + 7, y + 9, *self.blue)) pixels.append(Pixel(x + 8, y + 9, *self.blue)) pixels.append(Pixel(x + 1, y + 10, *self.red)) pixels.append(Pixel(x + 2, y + 10, *self.red)) pixels.append(Pixel(x + 3, y + 10, *self.red)) pixels.append(Pixel(x + 4, y + 10, *self.red)) pixels.append(Pixel(x + 5, y + 10, *self.blue)) pixels.append(Pixel(x + 6, y + 10, *self.blue)) pixels.append(Pixel(x + 7, y + 10, *self.blue)) pixels.append(Pixel(x + 8, y + 10, *self.blue)) pixels.append(Pixel(x + 1, y + 11, *self.blue)) pixels.append(Pixel(x + 2, y + 11, *self.red)) pixels.append(Pixel(x + 3, y + 11, *self.red)) pixels.append(Pixel(x + 4, y + 11, *self.flesh)) pixels.append(Pixel(x + 5, y + 11, *self.flesh)) pixels.append(Pixel(x + 6, y + 11, *self.red)) pixels.append(Pixel(x + 7, y + 11, *self.red)) pixels.append(Pixel(x + 8, y + 11, *self.red)) pixels.append(Pixel(x + 2, y + 12, *self.blue)) pixels.append(Pixel(x + 3, y + 12, *self.red)) pixels.append(Pixel(x + 4, y + 12, *self.flesh)) pixels.append(Pixel(x + 5, y + 12, *self.flesh)) pixels.append(Pixel(x + 6, y + 12, *self.blue)) pixels.append(Pixel(x + 7, y + 12, *self.blue)) pixels.append(Pixel(x + 3, y + 13, *self.blue)) pixels.append(Pixel(x + 4, y + 13, *self.blue)) pixels.append(Pixel(x + 5, y + 13, *self.blue)) pixels.append(Pixel(x + 6, y + 13, *self.brown)) pixels.append(Pixel(x + 7, y + 13, *self.brown)) pixels.append(Pixel(x + 8, y + 13, *self.brown)) # Feet pixels.append(Pixel(x + 3, y + 14, *self.brown)) pixels.append(Pixel(x + 4, y + 14, *self.brown)) pixels.append(Pixel(x + 5, y + 14, *self.brown)) pixels.append(Pixel(x + 6, y + 14, *self.brown)) # Standing Mario is 12 pixels wide. With 6 as the mid-point # flip all pixels around the 6 pixel mark to turn him around if inverse: left = x right = left + 12 mid = left + 6 for p in pixels: if p.x < mid: distance = mid - p.x p.x = p.x + distance * 2 elif p.x > mid: distance = p.x - mid p.x = p.x - distance * 2 return pixels def getRun2(self, x, y, inverse = False): pixels = [] pixels.append(Pixel(x + 4, y + 0, *self.red)) pixels.append(Pixel(x + 5, y + 0, *self.red)) pixels.append(Pixel(x + 6, y + 0, *self.red)) pixels.append(Pixel(x + 7, y + 0, *self.red)) pixels.append(Pixel(x + 8, y + 0, *self.red)) pixels.append(Pixel(x + 3, y + 1, *self.red)) pixels.append(Pixel(x + 4, y + 1, *self.red)) pixels.append(Pixel(x + 5, y + 1, *self.red)) pixels.append(Pixel(x + 6, y + 1, *self.red)) pixels.append(Pixel(x + 7, y + 1, *self.red)) pixels.append(Pixel(x + 8, y + 1, *self.red)) pixels.append(Pixel(x + 9, y + 1, *self.red)) pixels.append(Pixel(x + 10, y + 1, *self.red)) pixels.append(Pixel(x + 11, y + 1, *self.red)) # Head / Hair) pixels.append(Pixel(x + 3, y + 2, *self.brown)) pixels.append(Pixel(x + 4, y + 2, *self.brown)) pixels.append(Pixel(x + 5, y + 2, *self.brown)) # Skin) pixels.append(Pixel(x + 6, y + 2, *self.flesh) ) pixels.append(Pixel(x + 7, y + 2, *self.flesh) ) pixels.append(Pixel(x + 8, y + 2, *self.brown)) pixels.append(Pixel(x + 9, y + 2, *self.flesh)) pixels.append(Pixel(x + 2, y + 3, *self.brown)) pixels.append(Pixel(x + 3, y + 3, *self.flesh)) pixels.append(Pixel(x + 4, y + 3, *self.brown)) pixels.append(Pixel(x + 5, y + 3, *self.flesh) ) pixels.append(Pixel(x + 6, y + 3, *self.flesh) ) pixels.append(Pixel(x + 7, y + 3, *self.flesh) ) pixels.append(Pixel(x + 8, y + 3, *self.brown)) pixels.append(Pixel(x + 9, y + 3, *self.flesh)) pixels.append(Pixel(x + 10, y + 3, *self.flesh)) pixels.append(Pixel(x + 11, y + 3,*self.flesh)) pixels.append(Pixel(x + 2, y + 4, *self.brown)) pixels.append(Pixel(x + 3, y + 4, *self.flesh)) pixels.append(Pixel(x + 4, y + 4, *self.brown)) pixels.append(Pixel(x + 5, y + 4, *self.brown)) pixels.append(Pixel(x + 6, y + 4, *self.flesh)) pixels.append(Pixel(x + 7, y + 4, *self.flesh)) pixels.append(Pixel(x + 8, y + 4, *self.flesh)) pixels.append(Pixel(x + 9, y + 4, *self.brown)) pixels.append(Pixel(x + 10, y + 4, *self.flesh)) pixels.append(Pixel(x + 11, y + 4, *self.flesh)) pixels.append(Pixel(x + 12, y + 4, *self.flesh)) pixels.append(Pixel(x + 2, y + 5, *self.brown)) pixels.append(Pixel(x + 3, y + 5, *self.brown)) pixels.append(Pixel(x + 4, y + 5, *self.flesh)) pixels.append(Pixel(x + 5, y + 5, *self.flesh)) pixels.append(Pixel(x + 6, y + 5, *self.flesh)) pixels.append(Pixel(x + 7, y + 5, *self.flesh)) pixels.append(Pixel(x + 8, y + 5, *self.brown)) pixels.append(Pixel(x + 9, y + 5, *self.brown)) pixels.append(Pixel(x + 10, y + 5, *self.brown)) pixels.append(Pixel(x + 11, y + 5, *self.brown)) pixels.append(Pixel(x + 3, y + 6, *self.flesh)) pixels.append(Pixel(x + 4, y + 6, *self.flesh)) pixels.append(Pixel(x + 5, y + 6, *self.flesh)) pixels.append(Pixel(x + 6, y + 6, *self.flesh)) pixels.append(Pixel(x + 7, y + 6, *self.flesh)) pixels.append(Pixel(x + 8, y + 6, *self.flesh)) pixels.append(Pixel(x + 9, y + 6, *self.flesh)) # Body pixels.append(Pixel(x + 4, y + 7, *self.red)) pixels.append(Pixel(x + 5, y + 7, *self.red)) pixels.append(Pixel(x + 6, y + 7, *self.blue)) pixels.append(Pixel(x + 7, y + 7, *self.blue)) pixels.append(Pixel(x + 8, y + 7, *self.red)) pixels.append(Pixel(x + 3, y + 8, *self.red)) pixels.append(Pixel(x + 4, y + 8, *self.red)) pixels.append(Pixel(x + 5, y + 8, *self.red)) pixels.append(Pixel(x + 6, y + 8, *self.red)) pixels.append(Pixel(x + 7, y + 8, *self.blue)) pixels.append(Pixel(x + 8, y + 8, *self.red)) pixels.append(Pixel(x + 9, y + 8, *self.flesh)) pixels.append(Pixel(x + 10, y + 8, *self.flesh)) pixels.append(Pixel(x + 1, y + 9, *self.flesh)) pixels.append(Pixel(x + 2, y + 9, *self.flesh)) pixels.append(Pixel(x + 3, y + 9, *self.red)) pixels.append(Pixel(x + 4, y + 9, *self.red)) pixels.append(Pixel(x + 5, y + 9, *self.red)) pixels.append(Pixel(x + 6, y + 9, *self.red)) pixels.append(Pixel(x + 7, y + 9, *self.red)) pixels.append(Pixel(x + 8, y + 9, *self.red)) pixels.append(Pixel(x + 9, y + 9, *self.flesh)) pixels.append(Pixel(x + 10, y + 9, *self.flesh)) pixels.append(Pixel(x + 11, y + 9, *self.flesh)) pixels.append(Pixel(x + 0, y + 10, *self.flesh)) pixels.append(Pixel(x + 1, y + 10, *self.flesh)) pixels.append(Pixel(x + 2, y + 10, *self.flesh)) pixels.append(Pixel(x + 3, y + 10, *self.blue)) pixels.append(Pixel(x + 4, y + 10, *self.red)) pixels.append(Pixel(x + 5, y + 10, *self.red)) pixels.append(Pixel(x + 6, y + 10, *self.red)) pixels.append(Pixel(x + 7, y + 10, *self.red)) pixels.append(Pixel(x + 8, y + 10, *self.red)) pixels.append(Pixel(x + 9, y + 10, *self.flesh)) pixels.append(Pixel(x + 10, y + 10, *self.flesh)) pixels.append(Pixel(x + 1, y + 11, *self.brown)) pixels.append(Pixel(x + 2, y + 11, *self.brown)) pixels.append(Pixel(x + 3, y + 11, *self.blue)) pixels.append(Pixel(x + 4, y + 11, *self.blue)) pixels.append(Pixel(x + 5, y + 11, *self.blue)) pixels.append(Pixel(x + 6, y + 11, *self.blue)) pixels.append(Pixel(x + 7, y + 11, *self.blue)) pixels.append(Pixel(x + 8, y + 11, *self.blue)) pixels.append(Pixel(x + 9, y + 11, *self.blue)) pixels.append(Pixel(x + 1, y + 12, *self.brown)) pixels.append(Pixel(x + 2, y + 12, *self.blue)) pixels.append(Pixel(x + 3, y + 12, *self.blue)) pixels.append(Pixel(x + 4, y + 12, *self.blue)) pixels.append(Pixel(x + 5, y + 12, *self.blue)) pixels.append(Pixel(x + 6, y + 12, *self.blue)) pixels.append(Pixel(x + 7, y + 12, *self.blue)) pixels.append(Pixel(x + 8, y + 12, *self.blue)) pixels.append(Pixel(x + 9, y + 12, *self.blue)) pixels.append(Pixel(x + 0, y + 13, *self.brown)) pixels.append(Pixel(x + 1, y + 13, *self.brown)) pixels.append(Pixel(x + 2, y + 13, *self.blue)) pixels.append(Pixel(x + 3, y + 13, *self.blue)) pixels.append(Pixel(x + 6, y + 13, *self.blue)) pixels.append(Pixel(x + 7, y + 13, *self.blue)) pixels.append(Pixel(x + 8, y + 13, *self.blue)) # Feet) pixels.append(Pixel(x + 0, y + 14, *self.brown)) pixels.append(Pixel(x + 6, y + 14, *self.brown)) pixels.append(Pixel(x + 7, y + 14, *self.brown)) pixels.append(Pixel(x + 8, y + 14, *self.brown)) pixels.append(Pixel(x + 7, y + 15, *self.brown)) pixels.append(Pixel(x + 8, y + 15, *self.brown)) pixels.append(Pixel(x + 9, y + 15, *self.brown)) # Standing Mario is 12 pixels wide. With 6 as the mid-point # flip all pixels around the 6 pixel mark to turn him around if inverse: left = x right = left + 12 mid = left + 6 for p in pixels: if p.x < mid: distance = mid - p.x p.x = p.x + distance * 2 elif p.x > mid: distance = p.x - mid p.x = p.x - distance * 2 return pixels def getRun3(self, x, y, inverse = False): return self.getRun1(x, y, inverse) def getRun4(self, x, y, inverse = False): pixels = [] pixels.append(Pixel(x + 4, y + 0, *self.red)) pixels.append(Pixel(x + 5, y + 0, *self.red)) pixels.append(Pixel(x + 6, y + 0, *self.red)) pixels.append(Pixel(x + 7, y + 0, *self.red)) pixels.append(Pixel(x + 8, y + 0, *self.red)) pixels.append(Pixel(x + 3, y + 1, *self.red)) pixels.append(Pixel(x + 4, y + 1, *self.red)) pixels.append(Pixel(x + 5, y + 1, *self.red)) pixels.append(Pixel(x + 6, y + 1, *self.red)) pixels.append(Pixel(x + 7, y + 1, *self.red)) pixels.append(Pixel(x + 8, y + 1, *self.red)) pixels.append(Pixel(x + 9, y + 1, *self.red)) pixels.append(Pixel(x + 10, y + 1, *self.red)) pixels.append(Pixel(x + 11, y + 1, *self.red)) # Head / Hair) pixels.append(Pixel(x + 3, y + 2, *self.brown)) pixels.append(Pixel(x + 4, y + 2, *self.brown)) pixels.append(Pixel(x + 5, y + 2, *self.brown)) # Skin) pixels.append(Pixel(x + 6, y + 2, *self.flesh) ) pixels.append(Pixel(x + 7, y + 2, *self.flesh) ) pixels.append(Pixel(x + 8, y + 2, *self.brown)) pixels.append(Pixel(x + 9, y + 2, *self.flesh)) pixels.append(Pixel(x + 2, y + 3, *self.brown)) pixels.append(Pixel(x + 3, y + 3, *self.flesh)) pixels.append(Pixel(x + 4, y + 3, *self.brown)) pixels.append(Pixel(x + 5, y + 3, *self.flesh) ) pixels.append(Pixel(x + 6, y + 3, *self.flesh) ) pixels.append(Pixel(x + 7, y + 3, *self.flesh) ) pixels.append(Pixel(x + 8, y + 3, *self.brown)) pixels.append(Pixel(x + 9, y + 3, *self.flesh)) pixels.append(Pixel(x + 10, y + 3, *self.flesh)) pixels.append(Pixel(x + 11, y + 3,*self.flesh)) pixels.append(Pixel(x + 2, y + 4, *self.brown)) pixels.append(Pixel(x + 3, y + 4, *self.flesh)) pixels.append(Pixel(x + 4, y + 4, *self.brown)) pixels.append(Pixel(x + 5, y + 4, *self.brown)) pixels.append(Pixel(x + 6, y + 4, *self.flesh)) pixels.append(Pixel(x + 7, y + 4, *self.flesh)) pixels.append(Pixel(x + 8, y + 4, *self.flesh)) pixels.append(Pixel(x + 9, y + 4, *self.brown)) pixels.append(Pixel(x + 10, y + 4, *self.flesh)) pixels.append(Pixel(x + 11, y + 4, *self.flesh)) pixels.append(Pixel(x + 12, y + 4, *self.flesh)) pixels.append(Pixel(x + 2, y + 5, *self.brown)) pixels.append(Pixel(x + 3, y + 5, *self.brown)) pixels.append(Pixel(x + 4, y + 5, *self.flesh)) pixels.append(Pixel(x + 5, y + 5, *self.flesh)) pixels.append(Pixel(x + 6, y + 5, *self.flesh)) pixels.append(Pixel(x + 7, y + 5, *self.flesh)) pixels.append(Pixel(x + 8, y + 5, *self.brown)) pixels.append(Pixel(x + 9, y + 5, *self.brown)) pixels.append(Pixel(x + 10, y + 5, *self.brown)) pixels.append(Pixel(x + 11, y + 5, *self.brown)) pixels.append(Pixel(x + 3, y + 6, *self.flesh)) pixels.append(Pixel(x + 4, y + 6, *self.flesh)) pixels.append(Pixel(x + 5, y + 6, *self.flesh)) pixels.append(Pixel(x + 6, y + 6, *self.flesh)) pixels.append(Pixel(x + 7, y + 6, *self.flesh)) pixels.append(Pixel(x + 8, y + 6, *self.flesh)) pixels.append(Pixel(x + 9, y + 6, *self.flesh)) # Body) pixels.append(Pixel(x + 1, y + 7, *self.red)) pixels.append(Pixel(x + 2, y + 7, *self.red)) pixels.append(Pixel(x + 3, y + 7, *self.red)) pixels.append(Pixel(x + 4, y + 7, *self.red)) pixels.append(Pixel(x + 5, y + 7, *self.blue)) pixels.append(Pixel(x + 6, y + 7, *self.red)) pixels.append(Pixel(x + 7, y + 7, *self.red)) pixels.append(Pixel(x + 8, y + 7, *self.red)) pixels.append(Pixel(x + 9, y + 7, *self.blue)) pixels.append(Pixel(x - 1, y + 8, *self.flesh)) pixels.append(Pixel(x + 0, y + 8, *self.flesh)) pixels.append(Pixel(x + 1, y + 8, *self.red)) pixels.append(Pixel(x + 2, y + 8, *self.red)) pixels.append(Pixel(x + 3, y + 8, *self.red)) pixels.append(Pixel(x + 4, y + 8, *self.red)) pixels.append(Pixel(x + 5, y + 8, *self.blue)) pixels.append(Pixel(x + 6, y + 8, *self.blue)) pixels.append(Pixel(x + 7, y + 8, *self.red)) pixels.append(Pixel(x + 8, y + 8, *self.red)) pixels.append(Pixel(x + 9, y + 8, *self.red)) pixels.append(Pixel(x + 10, y + 8, *self.blue)) pixels.append(Pixel(x + 11, y + 8, *self.red)) pixels.append(Pixel(x + 12, y + 8, *self.flesh)) pixels.append(Pixel(x + 13, y + 8, *self.flesh)) pixels.append(Pixel(x + 14, y + 8, *self.flesh)) pixels.append(Pixel(x - 1, y + 9, *self.flesh)) pixels.append(Pixel(x - 0, y + 9, *self.flesh)) pixels.append(Pixel(x + 1, y + 9, *self.flesh)) pixels.append(Pixel(x + 3, y + 9, *self.red)) pixels.append(Pixel(x + 4, y + 9, *self.red)) pixels.append(Pixel(x + 5, y + 9, *self.blue)) pixels.append(Pixel(x + 6, y + 9, *self.blue)) pixels.append(Pixel(x + 7, y + 9, *self.blue)) pixels.append(Pixel(x + 8, y + 9, *self.blue)) pixels.append(Pixel(x + 9, y + 9, *self.blue)) pixels.append(Pixel(x + 10, y + 9, *self.blue)) pixels.append(Pixel(x + 11, y + 9, *self.red)) pixels.append(Pixel(x + 12, y + 9, *self.red)) pixels.append(Pixel(x + 13, y + 9, *self.flesh)) pixels.append(Pixel(x + 14, y + 9, *self.flesh)) pixels.append(Pixel(x - 1, y + 10, *self.flesh)) pixels.append(Pixel(x + 0, y + 10, *self.flesh)) pixels.append(Pixel(x + 3, y + 10, *self.blue)) pixels.append(Pixel(x + 4, y + 10, *self.blue)) pixels.append(Pixel(x + 5, y + 10, *self.blue)) pixels.append(Pixel(x + 6, y + 10, *self.yellow)) pixels.append(Pixel(x + 7, y + 10, *self.blue)) pixels.append(Pixel(x + 8, y + 10, *self.blue)) pixels.append(Pixel(x + 9, y + 10, *self.blue)) pixels.append(Pixel(x + 10, y + 10, *self.yellow)) pixels.append(Pixel(x + 13, y + 10, *self.brown)) pixels.append(Pixel(x + 2, y + 11, *self.blue)) pixels.append(Pixel(x + 3, y + 11, *self.blue)) pixels.append(Pixel(x + 4, y + 11, *self.blue)) pixels.append(Pixel(x + 5, y + 11, *self.blue)) pixels.append(Pixel(x + 6, y + 11, *self.blue)) pixels.append(Pixel(x + 7, y + 11, *self.blue)) pixels.append(Pixel(x + 8, y + 11, *self.blue)) pixels.append(Pixel(x + 9, y + 11, *self.blue)) pixels.append(Pixel(x + 10, y + 11, *self.blue)) pixels.append(Pixel(x + 11, y + 11, *self.blue)) pixels.append(Pixel(x + 12, y + 11, *self.brown)) pixels.append(Pixel(x + 13, y + 11, *self.brown)) pixels.append(Pixel(x + 1, y + 12, *self.blue)) pixels.append(Pixel(x + 2, y + 12, *self.blue)) pixels.append(Pixel(x + 3, y + 12, *self.blue)) pixels.append(Pixel(x + 4, y + 12, *self.blue)) pixels.append(Pixel(x + 5, y + 12, *self.blue)) pixels.append(Pixel(x + 6, y + 12, *self.blue)) pixels.append(Pixel(x + 7, y + 12, *self.blue)) pixels.append(Pixel(x + 8, y + 12, *self.blue)) pixels.append(Pixel(x + 9, y + 12, *self.blue)) pixels.append(Pixel(x + 10, y + 12, *self.blue)) pixels.append(Pixel(x + 11, y + 12, *self.blue)) pixels.append(Pixel(x + 12, y + 12, *self.brown)) pixels.append(Pixel(x + 13, y + 12, *self.brown)) pixels.append(Pixel(x + 0, y + 13, *self.brown)) pixels.append(Pixel(x + 1, y + 13, *self.brown)) pixels.append(Pixel(x + 2, y + 13, *self.blue)) pixels.append(Pixel(x + 3, y + 13, *self.blue)) pixels.append(Pixel(x + 4, y + 13, *self.blue)) pixels.append(Pixel(x + 9, y + 13, *self.blue)) pixels.append(Pixel(x + 9, y + 13, *self.blue)) pixels.append(Pixel(x + 10, y + 13, *self.blue)) pixels.append(Pixel(x + 11, y + 13, *self.blue)) pixels.append(Pixel(x + 12, y + 13, *self.brown)) pixels.append(Pixel(x + 13, y + 13, *self.brown)) # Feet) pixels.append(Pixel(x + 0, y + 14, *self.brown)) pixels.append(Pixel(x + 1, y + 14, *self.brown)) pixels.append(Pixel(x + 2, y + 14, *self.brown)) pixels.append(Pixel(x + 1, y + 15, *self.brown)) pixels.append(Pixel(x + 2, y + 15, *self.brown)) pixels.append(Pixel(x + 3, y + 15, *self.brown)) # Standing Mario is 12 pixels wide. With 6 as the mid-point # flip all pixels around the 6 pixel mark to turn him around if inverse: left = x right = left + 12 mid = left + 6 for p in pixels: if p.x < mid: distance = mid - p.x p.x = p.x + distance * 2 elif p.x > mid: distance = p.x - mid p.x = p.x - distance * 2 return pixels def getRun5(self, x, y, inverse = False): return self.getRun1(x, y, inverse) def getJumping(self, x, y, inverse = False): pixels = [] pixels.append(Pixel(x + 4, y + 0, *self.red)) pixels.append(Pixel(x + 5, y + 0, *self.red)) pixels.append(Pixel(x + 6, y + 0, *self.red)) pixels.append(Pixel(x + 7, y + 0, *self.red)) pixels.append(Pixel(x + 8, y + 0, *self.red)) pixels.append(Pixel(x + 11, y + 0, *self.flesh) ) pixels.append(Pixel(x + 12, y + 0, *self.flesh) ) pixels.append(Pixel(x + 13, y + 0, *self.flesh) ) pixels.append(Pixel(x + 3, y + 1, *self.red)) pixels.append(Pixel(x + 4, y + 1, *self.red)) pixels.append(Pixel(x + 5, y + 1, *self.red)) pixels.append(Pixel(x + 6, y + 1, *self.red)) pixels.append(Pixel(x + 7, y + 1, *self.red)) pixels.append(Pixel(x + 8, y + 1, *self.red)) pixels.append(Pixel(x + 9, y + 1, *self.red)) pixels.append(Pixel(x + 10, y + 1, *self.red)) pixels.append(Pixel(x + 11, y + 1, *self.red)) pixels.append(Pixel(x + 12, y + 1, *self.flesh) ) pixels.append(Pixel(x + 13, y + 1, *self.flesh) ) # Head / Hair) pixels.append(Pixel(x + 3, y + 2, *self.brown)) pixels.append(Pixel(x + 4, y + 2, *self.brown)) pixels.append(Pixel(x + 5, y + 2, *self.brown)) # Skin) pixels.append(Pixel(x + 6, y + 2, *self.flesh) ) pixels.append(Pixel(x + 7, y + 2, *self.flesh) ) pixels.append(Pixel(x + 8, y + 2, *self.brown)) pixels.append(Pixel(x + 9, y + 2, *self.flesh)) pixels.append(Pixel(x + 11, y + 2, *self.red)) pixels.append(Pixel(x + 12, y + 2, *self.red)) pixels.append(Pixel(x + 13, y + 2, *self.red)) pixels.append(Pixel(x + 2, y + 3, *self.brown)) pixels.append(Pixel(x + 3, y + 3, *self.flesh)) pixels.append(Pixel(x + 4, y + 3, *self.brown)) pixels.append(Pixel(x + 5, y + 3, *self.flesh) ) pixels.append(Pixel(x + 6, y + 3, *self.flesh) ) pixels.append(Pixel(x + 7, y + 3, *self.flesh) ) pixels.append(Pixel(x + 8, y + 3, *self.brown)) pixels.append(Pixel(x + 9, y + 3, *self.flesh)) pixels.append(Pixel(x + 10, y + 3, *self.flesh)) pixels.append(Pixel(x + 11, y + 3,*self.flesh)) pixels.append(Pixel(x + 12, y + 3, *self.red)) pixels.append(Pixel(x + 13, y + 3, *self.red)) pixels.append(Pixel(x + 2, y + 4, *self.brown)) pixels.append(Pixel(x + 3, y + 4, *self.flesh)) pixels.append(Pixel(x + 4, y + 4, *self.brown)) pixels.append(Pixel(x + 5, y + 4, *self.brown)) pixels.append(Pixel(x + 6, y + 4, *self.flesh)) pixels.append(Pixel(x + 7, y + 4, *self.flesh)) pixels.append(Pixel(x + 8, y + 4, *self.flesh)) pixels.append(Pixel(x + 9, y + 4, *self.brown)) pixels.append(Pixel(x + 10, y + 4, *self.flesh)) pixels.append(Pixel(x + 11, y + 4, *self.flesh)) pixels.append(Pixel(x + 12, y + 4, *self.flesh)) pixels.append(Pixel(x + 13, y + 4, *self.red)) pixels.append(Pixel(x + 2, y + 5, *self.brown)) pixels.append(Pixel(x + 3, y + 5, *self.brown)) pixels.append(Pixel(x + 4, y + 5, *self.flesh)) pixels.append(Pixel(x + 5, y + 5, *self.flesh)) pixels.append(Pixel(x + 6, y + 5, *self.flesh)) pixels.append(Pixel(x + 7, y + 5, *self.flesh)) pixels.append(Pixel(x + 8, y + 5, *self.brown)) pixels.append(Pixel(x + 9, y + 5, *self.brown)) pixels.append(Pixel(x + 10, y + 5, *self.brown)) pixels.append(Pixel(x + 11, y + 5, *self.brown)) pixels.append(Pixel(x + 12, y + 5, *self.red)) pixels.append(Pixel(x + 3, y + 6, *self.flesh)) pixels.append(Pixel(x + 4, y + 6, *self.flesh)) pixels.append(Pixel(x + 5, y + 6, *self.flesh)) pixels.append(Pixel(x + 6, y + 6, *self.flesh)) pixels.append(Pixel(x + 7, y + 6, *self.flesh)) pixels.append(Pixel(x + 8, y + 6, *self.flesh)) pixels.append(Pixel(x + 9, y + 6, *self.flesh)) pixels.append(Pixel(x + 10, y + 6, *self.red)) pixels.append(Pixel(x + 11, y + 6, *self.red)) # Body) pixels.append(Pixel(x - 2, y + 7, *self.flesh)) pixels.append(Pixel(x - 1, y + 7, *self.flesh)) pixels.append(Pixel(x + 0, y + 7, *self.flesh)) pixels.append(Pixel(x + 1, y + 7, *self.red)) pixels.append(Pixel(x + 2, y + 7, *self.red)) pixels.append(Pixel(x + 3, y + 7, *self.red)) pixels.append(Pixel(x + 4, y + 7, *self.red)) pixels.append(Pixel(x + 5, y + 7, *self.blue)) pixels.append(Pixel(x + 6, y + 7, *self.red)) pixels.append(Pixel(x + 7, y + 7, *self.red)) pixels.append(Pixel(x + 8, y + 7, *self.red)) pixels.append(Pixel(x + 9, y + 7, *self.blue)) pixels.append(Pixel(x + 10, y + 7, *self.red)) pixels.append(Pixel(x + 11, y + 7, *self.red)) pixels.append(Pixel(x + 14, y + 7, *self.brown)) pixels.append(Pixel(x - 2, y + 8, *self.flesh)) pixels.append(Pixel(x - 1, y + 8, *self.flesh)) pixels.append(Pixel(x + 0, y + 8, *self.flesh)) pixels.append(Pixel(x + 1, y + 8, *self.red)) pixels.append(Pixel(x + 2, y + 8, *self.red)) pixels.append(Pixel(x + 3, y + 8, *self.red)) pixels.append(Pixel(x + 4, y + 8, *self.red)) pixels.append(Pixel(x + 5, y + 8, *self.red)) pixels.append(Pixel(x + 6, y + 8, *self.blue)) pixels.append(Pixel(x + 7, y + 8, *self.red)) pixels.append(Pixel(x + 8, y + 8, *self.red)) pixels.append(Pixel(x + 9, y + 8, *self.red)) pixels.append(Pixel(x + 10, y + 8, *self.blue)) pixels.append(Pixel(x + 13, y + 8, *self.brown)) pixels.append(Pixel(x + 14, y + 8, *self.brown)) pixels.append(Pixel(x - 1, y + 9, *self.flesh)) pixels.append(Pixel(x + 3, y + 9, *self.red)) pixels.append(Pixel(x + 4, y + 9, *self.red)) pixels.append(Pixel(x + 5, y + 9, *self.red)) pixels.append(Pixel(x + 6, y + 9, *self.blue)) pixels.append(Pixel(x + 7, y + 9, *self.blue)) pixels.append(Pixel(x + 8, y + 9, *self.blue)) pixels.append(Pixel(x + 9, y + 9, *self.blue)) pixels.append(Pixel(x + 10, y + 9, *self.yellow)) pixels.append(Pixel(x + 11, y + 9, *self.blue)) pixels.append(Pixel(x + 12, y + 9, *self.blue)) pixels.append(Pixel(x + 13, y + 9, *self.brown)) pixels.append(Pixel(x + 14, y + 9, *self.brown)) pixels.append(Pixel(x + 4, y + 10, *self.blue)) pixels.append(Pixel(x + 5, y + 10, *self.blue)) pixels.append(Pixel(x + 6, y + 10, *self.blue)) pixels.append(Pixel(x + 7, y + 10, *self.yellow)) pixels.append(Pixel(x + 8, y + 10, *self.blue)) pixels.append(Pixel(x + 9, y + 10, *self.blue)) pixels.append(Pixel(x + 10, y + 10, *self.blue)) pixels.append(Pixel(x + 11, y + 10, *self.blue)) pixels.append(Pixel(x + 12, y + 10, *self.blue)) pixels.append(Pixel(x + 13, y + 10, *self.brown)) pixels.append(Pixel(x + 14, y + 10, *self.brown)) pixels.append(Pixel(x + 2, y + 11, *self.brown)) pixels.append(Pixel(x + 3, y + 11, *self.brown)) pixels.append(Pixel(x + 4, y + 11, *self.blue)) pixels.append(Pixel(x + 5, y + 11, *self.blue)) pixels.append(Pixel(x + 6, y + 11, *self.blue)) pixels.append(Pixel(x + 7, y + 11, *self.blue)) pixels.append(Pixel(x + 8, y + 11, *self.blue)) pixels.append(Pixel(x + 9, y + 11, *self.blue)) pixels.append(Pixel(x + 10, y + 11, *self.blue)) pixels.append(Pixel(x + 11, y + 11, *self.blue)) pixels.append(Pixel(x + 12, y + 11, *self.blue)) pixels.append(Pixel(x + 13, y + 11, *self.brown)) pixels.append(Pixel(x + 14, y + 11, *self.brown)) pixels.append(Pixel(x + 1, y + 12, *self.brown)) pixels.append(Pixel(x + 2, y + 12, *self.brown)) pixels.append(Pixel(x + 3, y + 12, *self.brown)) pixels.append(Pixel(x + 3, y + 12, *self.blue)) pixels.append(Pixel(x + 4, y + 12, *self.blue)) pixels.append(Pixel(x + 5, y + 12, *self.blue)) pixels.append(Pixel(x + 6, y + 12, *self.blue)) pixels.append(Pixel(x + 7, y + 12, *self.blue)) pixels.append(Pixel(x + 8, y + 12, *self.blue)) pixels.append(Pixel(x + 1, y + 13, *self.brown)) pixels.append(Pixel(x + 2, y + 13, *self.brown)) # Jumping Mario is 17 pixels wide. With 8 as the mid-point # flip all pixels around the 8 pixel mark to turn him around if inverse: left = x - 2 right = left + 17 mid = left + 8 for p in pixels: if p.x < mid: distance = mid - p.x p.x = p.x + distance * 2 elif p.x > mid: distance = p.x - mid p.x = p.x - distance * 2 return pixels def getStanding(self, x, y, inverse = False): pixels = [] pixels.append(Pixel(x + 4, y + 0, *self.red)) pixels.append(Pixel(x + 5, y + 0, *self.red)) pixels.append(Pixel(x + 6, y + 0, *self.red)) pixels.append(Pixel(x + 7, y + 0, *self.red)) pixels.append(Pixel(x + 8, y + 0, *self.red)) pixels.append(Pixel(x + 3, y + 1, *self.red)) pixels.append(Pixel(x + 4, y + 1, *self.red)) pixels.append(Pixel(x + 5, y + 1, *self.red)) pixels.append(Pixel(x + 6, y + 1, *self.red)) pixels.append(Pixel(x + 7, y + 1, *self.red)) pixels.append(Pixel(x + 8, y + 1, *self.red)) pixels.append(Pixel(x + 9, y + 1, *self.red)) pixels.append(Pixel(x + 10, y + 1, *self.red)) pixels.append(Pixel(x + 11, y + 1, *self.red)) # Head / Hair) pixels.append(Pixel(x + 3, y + 2, *self.brown)) pixels.append(Pixel(x + 4, y + 2, *self.brown)) pixels.append(Pixel(x + 5, y + 2, *self.brown)) # Skin) pixels.append(Pixel(x + 6, y + 2, *self.flesh) ) pixels.append(Pixel(x + 7, y + 2, *self.flesh) ) pixels.append(Pixel(x + 8, y + 2, *self.brown)) pixels.append(Pixel(x + 9, y + 2, *self.flesh)) pixels.append(Pixel(x + 2, y + 3, *self.brown)) pixels.append(Pixel(x + 3, y + 3, *self.flesh)) pixels.append(Pixel(x + 4, y + 3, *self.brown)) pixels.append(Pixel(x + 5, y + 3, *self.flesh) ) pixels.append(Pixel(x + 6, y + 3, *self.flesh) ) pixels.append(Pixel(x + 7, y + 3, *self.flesh) ) pixels.append(Pixel(x + 8, y + 3, *self.brown)) pixels.append(Pixel(x + 9, y + 3, *self.flesh)) pixels.append(Pixel(x + 10, y + 3, *self.flesh)) pixels.append(Pixel(x + 11, y + 3,*self.flesh)) pixels.append(Pixel(x + 2, y + 4, *self.brown)) pixels.append(Pixel(x + 3, y + 4, *self.flesh)) pixels.append(Pixel(x + 4, y + 4, *self.brown)) pixels.append(Pixel(x + 5, y + 4, *self.brown)) pixels.append(Pixel(x + 6, y + 4, *self.flesh)) pixels.append(Pixel(x + 7, y + 4, *self.flesh)) pixels.append(Pixel(x + 8, y + 4, *self.flesh)) pixels.append(Pixel(x + 9, y + 4, *self.brown)) pixels.append(Pixel(x + 10, y + 4, *self.flesh)) pixels.append(Pixel(x + 11, y + 4, *self.flesh)) pixels.append(Pixel(x + 12, y + 4, *self.flesh)) pixels.append(Pixel(x + 2, y + 5, *self.brown)) pixels.append(Pixel(x + 3, y + 5, *self.brown)) pixels.append(Pixel(x + 4, y + 5, *self.flesh)) pixels.append(Pixel(x + 5, y + 5, *self.flesh)) pixels.append(Pixel(x + 6, y + 5, *self.flesh)) pixels.append(Pixel(x + 7, y + 5, *self.flesh)) pixels.append(Pixel(x + 8, y + 5, *self.brown)) pixels.append(Pixel(x + 9, y + 5, *self.brown)) pixels.append(Pixel(x + 10, y + 5, *self.brown)) pixels.append(Pixel(x + 11, y + 5, *self.brown)) pixels.append(Pixel(x + 3, y + 6, *self.flesh)) pixels.append(Pixel(x + 4, y + 6, *self.flesh)) pixels.append(Pixel(x + 5, y + 6, *self.flesh)) pixels.append(Pixel(x + 6, y + 6, *self.flesh)) pixels.append(Pixel(x + 7, y + 6, *self.flesh)) pixels.append(Pixel(x + 8, y + 6, *self.flesh)) pixels.append(Pixel(x + 9, y + 6, *self.flesh)) # Body) pixels.append(Pixel(x + 2, y + 7, *self.red)) pixels.append(Pixel(x + 3, y + 7, *self.red)) pixels.append(Pixel(x + 4, y + 7, *self.blue)) pixels.append(Pixel(x + 5, y + 7, *self.red)) pixels.append(Pixel(x + 6, y + 7, *self.red)) pixels.append(Pixel(x + 7, y + 7, *self.red)) pixels.append(Pixel(x + 8, y + 7, *self.red)) pixels.append(Pixel(x + 1, y + 8, *self.red)) pixels.append(Pixel(x + 2, y + 8, *self.red)) pixels.append(Pixel(x + 3, y + 8, *self.red)) pixels.append(Pixel(x + 4, y + 8, *self.blue)) pixels.append(Pixel(x + 5, y + 8, *self.red)) pixels.append(Pixel(x + 6, y + 8, *self.red)) pixels.append(Pixel(x + 7, y + 8, *self.blue)) pixels.append(Pixel(x + 8, y + 8, *self.red)) pixels.append(Pixel(x + 9, y + 8, *self.red)) pixels.append(Pixel(x + 10, y + 8, *self.red)) pixels.append(Pixel(x + 0, y + 9, *self.red)) pixels.append(Pixel(x + 1, y + 9, *self.red)) pixels.append(Pixel(x + 2, y + 9, *self.red)) pixels.append(Pixel(x + 3, y + 9, *self.red)) pixels.append(Pixel(x + 4, y + 9, *self.blue)) pixels.append(Pixel(x + 5, y + 9, *self.blue)) pixels.append(Pixel(x + 6, y + 9, *self.blue)) pixels.append(Pixel(x + 7, y + 9, *self.blue)) pixels.append(Pixel(x + 8, y + 9, *self.red)) pixels.append(Pixel(x + 9, y + 9, *self.red)) pixels.append(Pixel(x + 10, y + 9, *self.red)) pixels.append(Pixel(x + 11, y + 9, *self.red)) pixels.append(Pixel(x + 0, y + 10, *self.flesh)) pixels.append(Pixel(x + 1, y + 10, *self.flesh)) pixels.append(Pixel(x + 2, y + 10, *self.red)) pixels.append(Pixel(x + 3, y + 10, *self.blue)) pixels.append(Pixel(x + 4, y + 10, *self.yellow)) pixels.append(Pixel(x + 5, y + 10, *self.blue)) pixels.append(Pixel(x + 6, y + 10, *self.blue)) pixels.append(Pixel(x + 7, y + 10, *self.yellow)) pixels.append(Pixel(x + 8, y + 10, *self.blue)) pixels.append(Pixel(x + 9, y + 10, *self.red)) pixels.append(Pixel(x + 10, y + 10, *self.flesh)) pixels.append(Pixel(x + 11, y + 10, *self.flesh)) pixels.append(Pixel(x + 0, y + 11, *self.flesh)) pixels.append(Pixel(x + 1, y + 11, *self.flesh)) pixels.append(Pixel(x + 2, y + 11, *self.flesh)) pixels.append(Pixel(x + 3, y + 11, *self.blue)) pixels.append(Pixel(x + 4, y + 11, *self.blue)) pixels.append(Pixel(x + 5, y + 11, *self.blue)) pixels.append(Pixel(x + 6, y + 11, *self.blue)) pixels.append(Pixel(x + 7, y + 11, *self.blue)) pixels.append(Pixel(x + 8, y + 11, *self.blue)) pixels.append(Pixel(x + 9, y + 11, *self.flesh)) pixels.append(Pixel(x + 10, y + 11, *self.flesh)) pixels.append(Pixel(x + 11, y + 11, *self.flesh)) pixels.append(Pixel(x + 0, y + 12, *self.flesh)) pixels.append(Pixel(x + 1, y + 12, *self.flesh)) pixels.append(Pixel(x + 2, y + 12, *self.blue)) pixels.append(Pixel(x + 3, y + 12, *self.blue)) pixels.append(Pixel(x + 4, y + 12, *self.blue)) pixels.append(Pixel(x + 5, y + 12, *self.blue)) pixels.append(Pixel(x + 6, y + 12, *self.blue)) pixels.append(Pixel(x + 7, y + 12, *self.blue)) pixels.append(Pixel(x + 8, y + 12, *self.blue)) pixels.append(Pixel(x + 9, y + 12, *self.blue)) pixels.append(Pixel(x + 10, y + 12, *self.flesh)) pixels.append(Pixel(x + 11, y + 12, *self.flesh)) pixels.append(Pixel(x + 2, y + 13, *self.blue)) pixels.append(Pixel(x + 3, y + 13, *self.blue)) pixels.append(Pixel(x + 4, y + 13, *self.blue)) pixels.append(Pixel(x + 7, y + 13, *self.blue)) pixels.append(Pixel(x + 8, y + 13, *self.blue)) pixels.append(Pixel(x + 9, y + 13, *self.blue)) # Feet) pixels.append(Pixel(x + 1, y + 14, *self.brown)) pixels.append(Pixel(x + 2, y + 14, *self.brown)) pixels.append(Pixel(x + 3, y + 14, *self.brown)) pixels.append(Pixel(x + 8, y + 14, *self.brown)) pixels.append(Pixel(x + 9, y + 14, *self.brown)) pixels.append(Pixel(x + 10, y + 14, *self.brown)) pixels.append(Pixel(x + 0, y + 15, *self.brown)) pixels.append(Pixel(x + 1, y + 15, *self.brown)) pixels.append(Pixel(x + 2, y + 15, *self.brown)) pixels.append(Pixel(x + 3, y + 15, *self.brown)) pixels.append(Pixel(x + 8, y + 15, *self.brown)) pixels.append(Pixel(x + 9, y + 15, *self.brown)) pixels.append(Pixel(x + 10, y + 15, *self.brown)) pixels.append(Pixel(x + 11, y + 15, *self.brown)) # Standing Mario is 12 pixels wide. With 6 as the mid-point # flip all pixels around the 6 pixel mark to turn him around if inverse: left = x right = left + 12 mid = left + 6 for p in pixels: if p.x < mid: distance = mid - p.x p.x = p.x + distance * 2 elif p.x > mid: distance = p.x - mid p.x = p.x - distance * 2 return pixels # Main function if __name__ == "__main__": mario = Mario() if (not mario.process()): mario.print_help()

43.492669

68

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false

0

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0

null

1

0

1

0

null

0

10

02fe017a3f725b1b3bc8c484dca2f4750c8e4d6e

1,467

py

Python

action_test.py

luchesar/4oBe4e

05d3d0dba5198d9d03df0a0728c80fbacfabd0eb

[ "MIT" ]

null

action_test.py

luchesar/4oBe4e

05d3d0dba5198d9d03df0a0728c80fbacfabd0eb

[ "MIT" ]

null

action_test.py

luchesar/4oBe4e

05d3d0dba5198d9d03df0a0728c80fbacfabd0eb

[ "MIT" ]

null

#!/usr/bin/env python3 # coding: utf-8 from io import StringIO import pytest # type: ignore import action def test_ask_move_invalid_input(monkeypatch): pawn_number = StringIO(f"\n") monkeypatch.setattr("sys.stdin", pawn_number) with pytest.raises(Exception): assert action.ask_move(1) pawn_number = StringIO("a_string\n") monkeypatch.setattr("sys.stdin", pawn_number) with pytest.raises(Exception): assert action.ask_move(1) pawn_number = StringIO(f"-1\n") monkeypatch.setattr("sys.stdin", pawn_number) with pytest.raises(Exception): assert action.ask_move(1) pawn_number = StringIO(f"1.3\n") monkeypatch.setattr("sys.stdin", pawn_number) with pytest.raises(Exception): assert action.ask_move(1) pawn_number = StringIO(f"4\n") monkeypatch.setattr("sys.stdin", pawn_number) with pytest.raises(Exception): assert action.ask_move(1) def test_ask_move_valid_input(monkeypatch): pawn_number = StringIO("0\n") monkeypatch.setattr("sys.stdin", pawn_number) assert action.ask_move(1) == 0 pawn_number = StringIO("1\n") monkeypatch.setattr("sys.stdin", pawn_number) assert action.ask_move(1) == 1 pawn_number = StringIO("2\n") monkeypatch.setattr("sys.stdin", pawn_number) assert action.ask_move(1) == 2 pawn_number = StringIO("3\n") monkeypatch.setattr("sys.stdin", pawn_number) assert action.ask_move(1) == 3

26.196429

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0.689162

204

1,467

4.779412

0.20098

0.184615

0.166154

0.203077

0.806154

0.73641

0.733333

0

0.019151

0.181322

1,467

55

50

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0.792673

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0

null

0

1

0

null

0

7

f309d58c072bb9976853b2db022e83cfe2377dea

1,113

py

Python

examples/action_models/AD_Test_all.py

pcyoung75/SysMPy

2684e28eb8ad63c351e3327591bc2d988480e6a3

[ "Apache-2.0" ]

null

examples/action_models/AD_Test_all.py

pcyoung75/SysMPy

2684e28eb8ad63c351e3327591bc2d988480e6a3

[ "Apache-2.0" ]

null

examples/action_models/AD_Test_all.py

pcyoung75/SysMPy

2684e28eb8ad63c351e3327591bc2d988480e6a3

[ "Apache-2.0" ]

null

import examples.action_models.AD2_Start_End_Test_2 import examples.action_models.AD3_And_2Actions_Test import examples.action_models.AD4_Or_2Actions_Test import examples.action_models.AD4_XOr_2Actions_Test import examples.action_models.AD5_And_Actions_Conduit_Test import examples.action_models.AD5_And_Actions_Items_Test import examples.action_models.AD5_Item_Flow_Test import examples.action_models.AD5_Item_Flow_Test_2 import examples.action_models.AD5_Resource_Test import examples.action_models.AD5_Resource_Test_2 import examples.action_models.AD6_Loop_Test_1 import examples.action_models.AD6_Loop_Test_2 import examples.action_models.AD6_Loop_Test_3 import examples.action_models.AD7_Condition_Test import examples.action_models.AD7_Condition_Test_2 import examples.action_models.AD7_Condition_Test_3 import examples.action_models.AD7_Condition_Test_4 import examples.action_models.AD8_2And_4Actions_Loop_Test import examples.action_models.AD8_Or_Test import examples.action_models.AD9_SubActions_Test import examples.action_models.AD9_SubActions_Test_3 import examples.action_models.AD10_Loop_Exit_Test

46.375

58

0.920036

177

1,113

5.282486

0.20339

0.329412

0.470588

0.611765

0.897326

0.831016

0.758289

0.46631

0.278075

0

0.035581

0.040431

1,113

23

59

48.391304

0.839888

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

9

b8346ad11b9eb483291092bfa7777a4678f72cc3

15,227

py

Python

feature_space_tree/attributes/postfilter_extra.py

lopez-monroy/FeatureSpaceTreeOld

200a9e35f1251db85a6c83f2e864db2649e531e2

[ "Apache-2.0" ]

null

feature_space_tree/attributes/postfilter_extra.py

lopez-monroy/FeatureSpaceTreeOld

200a9e35f1251db85a6c83f2e864db2649e531e2

[ "Apache-2.0" ]

null

feature_space_tree/attributes/postfilter_extra.py

lopez-monroy/FeatureSpaceTreeOld

200a9e35f1251db85a6c83f2e864db2649e531e2

[ "Apache-2.0" ]

null

from postfilter import DecoratorByTokenNormalizer class NeighboringBigramsFilterDecoratorByTokenNormalizer(DecoratorByTokenNormalizer): def __init__(self, by_token_normalizer): super(NeighboringBigramsFilterDecoratorByTokenNormalizer, self).__init__(by_token_normalizer) def get_list_of_tokens(self): old_list_of_tokens = self._by_token_normalizer.get_list_of_tokens() # print old_list_of_tokens new_list_of_tokens = [] rows = int(old_list_of_tokens[0]) cols = int(old_list_of_tokens[1]) tokens = old_list_of_tokens[2:] base_mat = [] for i in range(rows): a = i*cols b = i*cols + cols base_mat += [tokens[a:b]] # print base_mat if (len(base_mat) != rows) or (len(base_mat[0]) != cols) or (len(base_mat[-1]) != cols): print "THE MATRIX HAS A STRANGE SIZE!!!, YOU SHOUL CHECK THIS CASE." for i in range(rows): for j in range(cols): v = ["NOT_A_VISUAL_FEATURE" for e in range(8)] actual = base_mat[i][j] if ((i-1) >= 0) and ((j-1) >= 0) : v[0] = base_mat[i-1][j-1] if (j-1) >= 0: v[1] = base_mat[i][j-1] if ((i+1) < rows) and ((j-1) >= 0): v[2] = base_mat[i+1][j-1] if ((i+1) < rows): v[3] = base_mat[i+1][j] if ((i+1) < rows) and ((j+1) < cols): v[4] = base_mat[i+1][j+1] if (j+1) < cols: v[5] = base_mat[i][j+1] if ((i-1) >= 0) and ((j+1) < cols): v[6] = base_mat[i-1][j+1] if (i-1) >= 0: v[7] = base_mat[i-1][j] for v_e in v: if v_e != "NOT_A_VISUAL_FEATURE": new_list_of_tokens += [actual + "~" + v_e] # print new_list_of_tokens return new_list_of_tokens class OrientationNeighboringBigramsFilterDecoratorByTokenNormalizer(DecoratorByTokenNormalizer): def __init__(self, by_token_normalizer): super(OrientationNeighboringBigramsFilterDecoratorByTokenNormalizer, self).__init__(by_token_normalizer) def get_list_of_tokens(self): old_list_of_tokens = self._by_token_normalizer.get_list_of_tokens() # print old_list_of_tokens new_list_of_tokens = [] rows = int(old_list_of_tokens[0]) cols = int(old_list_of_tokens[1]) tokens = old_list_of_tokens[2:] base_mat = [] for i in range(rows): a = i*cols b = i*cols + cols base_mat += [tokens[a:b]] # print base_mat if (len(base_mat) != rows) or (len(base_mat[0]) != cols) or (len(base_mat[-1]) != cols): print "THE MATRIX HAS A STRANGE SIZE!!!, YOU SHOUL CHECK THIS CASE." for i in range(rows): for j in range(cols): v = ["NOT_A_VISUAL_FEATURE" for e in range(8)] actual = "c" + base_mat[i][j] if ((i-1) >= 0) and ((j-1) >= 0) : v[0] = "no" + base_mat[i-1][j-1] if (j-1) >= 0: v[1] = "o" + base_mat[i][j-1] if ((i+1) < rows) and ((j-1) >= 0): v[2] = "so" + base_mat[i+1][j-1] if ((i+1) < rows): v[3] = "s" + base_mat[i+1][j] if ((i+1) < rows) and ((j+1) < cols): v[4] = "se" + base_mat[i+1][j+1] if (j+1) < cols: v[5] = "e" + base_mat[i][j+1] if ((i-1) >= 0) and ((j+1) < cols): v[6] = "ne" + base_mat[i-1][j+1] if (i-1) >= 0: v[7] = "n" + base_mat[i-1][j] for v_e in v: if v_e != "NOT_A_VISUAL_FEATURE": new_list_of_tokens += [actual + "~" + v_e] # print new_list_of_tokens return new_list_of_tokens class NeighboringNoOrderBigramsFilterDecoratorByTokenNormalizer(DecoratorByTokenNormalizer): def __init__(self, by_token_normalizer): super(NeighboringNoOrderBigramsFilterDecoratorByTokenNormalizer, self).__init__(by_token_normalizer) def get_list_of_tokens(self): old_list_of_tokens = self._by_token_normalizer.get_list_of_tokens() # print old_list_of_tokens new_list_of_tokens = [] rows = int(old_list_of_tokens[0]) cols = int(old_list_of_tokens[1]) tokens = old_list_of_tokens[2:] base_mat = [] for i in range(rows): a = i*cols b = i*cols + cols base_mat += [tokens[a:b]] # print base_mat if (len(base_mat) != rows) or (len(base_mat[0]) != cols) or (len(base_mat[-1]) != cols): print "THE MATRIX HAS A STRANGE SIZE!!!, YOU SHOUL CHECK THIS CASE." for i in range(rows): for j in range(cols): v = ["NOT_A_VISUAL_FEATURE" for e in range(8)] actual = base_mat[i][j] if ((i-1) >= 0) and ((j-1) >= 0) : v[0] = base_mat[i-1][j-1] if (j-1) >= 0: v[1] = base_mat[i][j-1] if ((i+1) < rows) and ((j-1) >= 0): v[2] = base_mat[i+1][j-1] if ((i+1) < rows): v[3] = base_mat[i+1][j] if ((i+1) < rows) and ((j+1) < cols): v[4] = base_mat[i+1][j+1] if (j+1) < cols: v[5] = base_mat[i][j+1] if ((i-1) >= 0) and ((j+1) < cols): v[6] = base_mat[i-1][j+1] if (i-1) >= 0: v[7] = base_mat[i-1][j] for v_e in v: if v_e != "NOT_A_VISUAL_FEATURE": generated_bigram = "" if actual <= v_e: generated_bigram = actual + "~" + v_e else: generated_bigram = v_e + "~" + actual new_list_of_tokens += [generated_bigram] # print new_list_of_tokens return new_list_of_tokens class NeighboringNoOrderTrigramsFilterDecoratorByTokenNormalizer(DecoratorByTokenNormalizer): def __init__(self, by_token_normalizer): super(NeighboringNoOrderTrigramsFilterDecoratorByTokenNormalizer, self).__init__(by_token_normalizer) def get_list_of_tokens(self): old_list_of_tokens = self._by_token_normalizer.get_list_of_tokens() # print old_list_of_tokens new_list_of_tokens = [] rows = int(old_list_of_tokens[0]) cols = int(old_list_of_tokens[1]) tokens = old_list_of_tokens[2:] base_mat = [] for i in range(rows): a = i*cols b = i*cols + cols base_mat += [tokens[a:b]] # print base_mat if (len(base_mat) != rows) or (len(base_mat[0]) != cols) or (len(base_mat[-1]) != cols): print "THE MATRIX HAS A STRANGE SIZE!!!, YOU SHOUL CHECK THIS CASE." for i in range(rows): for j in range(cols): v = ["NOT_A_VISUAL_FEATURE" for e in range(8)] v_ext = ["NOT_A_VISUAL_FEATURE" for e in range(8)] actual = base_mat[i][j] if ((i-1) >= 0) and ((j-1) >= 0) and ((i-2) >= 0) and ((j-2) >= 0): v[0] = base_mat[i-1][j-1] v_ext[0] = base_mat[i-2][j-2] if ((j-1) >= 0) and ((j-2) >= 0): v[1] = base_mat[i][j-1] v_ext[1] = base_mat[i][j-2] if (((i+1) < rows) and ((j-1) >= 0)) and (((i+2) < rows) and ((j-2) >= 0)): v[2] = base_mat[i+1][j-1] v_ext[2] = base_mat[i+2][j-2] if ((i+1) < rows) and ((i+2) < rows): v[3] = base_mat[i+1][j] v_ext[3] = base_mat[i+2][j] if (((i+1) < rows) and ((j+1) < cols)) and (((i+2) < rows) and ((j+2) < cols)): v[4] = base_mat[i+1][j+1] v_ext[4] = base_mat[i+2][j+2] if ((j+1) < cols) and ((j+2) < cols): v[5] = base_mat[i][j+1] v_ext[5] = base_mat[i][j+2] if (((i-1) >= 0) and ((j+1) < cols)) and (((i-2) >= 0) and ((j+2) < cols)): v[6] = base_mat[i-1][j+1] v_ext[6] = base_mat[i-2][j+2] if ((i-1) >= 0) and ((i-2) >= 0): v[7] = base_mat[i-1][j] v_ext[7] = base_mat[i-2][j] for v_e, v_e_ext in zip(v, v_ext): if (v_e != "NOT_A_VISUAL_FEATURE") and (v_e_ext != "NOT_A_VISUAL_FEATURE"): my_seq = [actual, v_e, v_e_ext] if my_seq[0] <= my_seq[-1]: my_seq.reverse() generated_trigram = my_seq[0] + "~" + my_seq[1] + "~" + my_seq[2] new_list_of_tokens += [generated_trigram] # print new_list_of_tokens return new_list_of_tokens ##### class NeighboringNoOrderTetragramsFilterDecoratorByTokenNormalizer(DecoratorByTokenNormalizer): def __init__(self, by_token_normalizer): super(NeighboringNoOrderTetragramsFilterDecoratorByTokenNormalizer, self).__init__(by_token_normalizer) def get_list_of_tokens(self): old_list_of_tokens = self._by_token_normalizer.get_list_of_tokens() # print old_list_of_tokens new_list_of_tokens = [] rows = int(old_list_of_tokens[0]) cols = int(old_list_of_tokens[1]) tokens = old_list_of_tokens[2:] base_mat = [] for i in range(rows): a = i*cols b = i*cols + cols base_mat += [tokens[a:b]] # print base_mat if (len(base_mat) != rows) or (len(base_mat[0]) != cols) or (len(base_mat[-1]) != cols): print "THE MATRIX HAS A STRANGE SIZE!!!, YOU SHOUL CHECK THIS CASE." for i in range(rows): for j in range(cols): v = ["NOT_A_VISUAL_FEATURE" for e in range(8)] v_ext = ["NOT_A_VISUAL_FEATURE" for e in range(8)] v_ext_2 = ["NOT_A_VISUAL_FEATURE" for e in range(8)] actual = base_mat[i][j] if ((i-1) >= 0) and ((j-1) >= 0) and ((i-2) >= 0) and ((j-2) >= 0) and ((i-3) >= 0) and ((j-3) >= 0): v[0] = base_mat[i-1][j-1] v_ext[0] = base_mat[i-2][j-2] v_ext_2[0] = base_mat[i-3][j-3] if ((j-1) >= 0) and ((j-2) >= 0) and ((j-3) >= 0): v[1] = base_mat[i][j-1] v_ext[1] = base_mat[i][j-2] v_ext_2[1] = base_mat[i][j-3] if (((i+1) < rows) and ((j-1) >= 0)) and (((i+2) < rows) and ((j-2) >= 0)) and (((i+3) < rows) and ((j-3) >= 0)): v[2] = base_mat[i+1][j-1] v_ext[2] = base_mat[i+2][j-2] v_ext_2[2] = base_mat[i+3][j-3] if ((i+1) < rows) and ((i+2) < rows) and ((i+3) < rows): v[3] = base_mat[i+1][j] v_ext[3] = base_mat[i+2][j] v_ext_2[3] = base_mat[i+3][j] if (((i+1) < rows) and ((j+1) < cols)) and (((i+2) < rows) and ((j+2) < cols)) and (((i+3) < rows) and ((j+3) < cols)): v[4] = base_mat[i+1][j+1] v_ext[4] = base_mat[i+2][j+2] v_ext_2[4] = base_mat[i+3][j+3] if ((j+1) < cols) and ((j+2) < cols) and ((j+3) < cols): v[5] = base_mat[i][j+1] v_ext[5] = base_mat[i][j+2] v_ext_2[5] = base_mat[i][j+3] if (((i-1) >= 0) and ((j+1) < cols)) and (((i-2) >= 0) and ((j+2) < cols)) and (((i-3) >= 0) and ((j+3) < cols)): v[6] = base_mat[i-1][j+1] v_ext[6] = base_mat[i-2][j+2] v_ext_2[6] = base_mat[i-3][j+3] if ((i-1) >= 0) and ((i-2) >= 0) and ((i-3) >= 0): v[7] = base_mat[i-1][j] v_ext[7] = base_mat[i-2][j] v_ext_2[7] = base_mat[i-3][j] for v_e, v_e_ext, v_e_ext_2 in zip(v, v_ext, v_ext_2): if (v_e != "NOT_A_VISUAL_FEATURE") and (v_e_ext != "NOT_A_VISUAL_FEATURE") and (v_e_ext_2 != "NOT_A_VISUAL_FEATURE"): my_seq = [actual, v_e, v_e_ext, v_e_ext_2] if my_seq[0] <= my_seq[-1]: my_seq.reverse() generated_tetragram = my_seq[0] + "~" + my_seq[1] + "~" + my_seq[2] + "~" + my_seq[3] new_list_of_tokens += [generated_tetragram] # print new_list_of_tokens return new_list_of_tokens #####

39.448187

138

0.403888

1,906

15,227

2.970619

0.044071

0.122395

0.097492

0.047686

0.864359

0.843165

0.841575

0.829742

0.7568

0.730131

0

0.044278

0.46457

15,227

386

139

39.448187

0.65019

0.021278

0

0.746888

0

0.043151

0

null

0

0.004149

null

0.020747

0

null

0

1

0

1

0

null

0

1

0

8

b868203b1c54f4260ffbdb8599980e3069fda7bf

17,098

py

Python

tests/trestle/tasks/tanium_to_oscal_test.py

CyberFlameGO/compliance-trestle

aeae771e0e90c7c69ef914ca02d4857ed6f50222

[ "Apache-2.0" ]

1

2022-01-07T01:11:03.000Z

tests/trestle/tasks/tanium_to_oscal_test.py

CyberFlameGO/compliance-trestle

aeae771e0e90c7c69ef914ca02d4857ed6f50222

[ "Apache-2.0" ]

null

tests/trestle/tasks/tanium_to_oscal_test.py

CyberFlameGO/compliance-trestle

aeae771e0e90c7c69ef914ca02d4857ed6f50222

[ "Apache-2.0" ]

null

# -*- mode:python; coding:utf-8 -*- # Copyright (c) 2020 IBM Corp. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://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. """Tanium to OSCAL task tests.""" import configparser import os import pathlib from _pytest.monkeypatch import MonkeyPatch import trestle.core.const as const import trestle.tasks.tanium_to_oscal as tanium_to_oscal import trestle.transforms.implementations.tanium as tanium from trestle.tasks.base_task import TaskOutcome class MonkeyBusiness(): """Monkey business.""" def __init__(self): """Initialize context.""" self._seed_component = 25529320 self._seed_inventory = 36618780 self._seed_observation = 47732990 self._seed_result = 18847350 self._seed_result2 = 51169030 def uuid_component(self): """Monkey the creation of uuid for component.""" self._seed_component += 1 return str(self._seed_component) + '-71b1-46f6-b2f0-edc34a977809' def uuid_inventory(self): """Monkey the creation of uuid for inventory.""" self._seed_inventory += 1 return str(self._seed_inventory) + '-0f02-40f3-adb7-f1d5cbf15150' def uuid_observation(self): """Monkey the creation of uuid for observation.""" self._seed_observation += 1 return str(self._seed_observation) + '-5c28-45ba-8f0f-9d8c7f51c46e' def uuid_result(self): """Monkey the creation of uuid for result.""" self._seed_result += 1 return str(self._seed_result) + '-8012-434e-801b-19e6ba3cdc0e' def uuid_result2(self): """Monkey the creation of uuid for result, alternate.""" self._seed_result2 += 1 return str(self._seed_result2) + '-ca25-4eec-8152-506286489d9a' def test_tanium_print_info(tmp_path): """Test print_info call.""" config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) section = config['task.tanium-to-oscal'] section['output-dir'] = str(tmp_path) tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.print_info() assert retval is None def test_tanium_simulate(tmp_path): """Test simulate call.""" config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) section = config['task.tanium-to-oscal'] section['output-dir'] = str(tmp_path) tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.simulate() assert retval == TaskOutcome.SIM_SUCCESS assert len(os.listdir(str(tmp_path))) == 0 def test_tanium_simulate_no_config(tmp_path): """Test simulate no config call.""" tgt = tanium_to_oscal.TaniumToOscal(None) retval = tgt.simulate() assert retval == TaskOutcome.SIM_FAILURE assert len(os.listdir(str(tmp_path))) == 0 def test_tanium_simulate_no_overwrite(tmp_path): """Test simulate no overwrite call.""" config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) section = config['task.tanium-to-oscal'] section['output-dir'] = str(tmp_path) tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.execute() assert retval == TaskOutcome.SUCCESS assert len(os.listdir(str(tmp_path))) == 1 section['output-overwrite'] = 'false' section['output-dir'] = str(tmp_path) tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.simulate() assert retval == TaskOutcome.SIM_FAILURE assert len(os.listdir(str(tmp_path))) == 1 def test_tanium_simulate_no_input_dir(tmp_path): """Test simulate with no input dir call.""" config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) config.remove_option('task.tanium-to-oscal', 'input-dir') section = config['task.tanium-to-oscal'] section['output-dir'] = str(tmp_path) tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.simulate() assert retval == TaskOutcome.SIM_FAILURE assert len(os.listdir(str(tmp_path))) == 0 def test_tanium_simulate_no_ouput_dir(tmp_path): """Test simulate with no output dir call.""" config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) config.remove_option('task.tanium-to-oscal', 'output-dir') section = config['task.tanium-to-oscal'] tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.simulate() assert retval == TaskOutcome.SIM_FAILURE assert len(os.listdir(str(tmp_path))) == 0 def test_tanium_simulate_bad_input_file(tmp_path): """Test simulate with bad input file call.""" config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) config.remove_option('task.tanium-to-oscal', 'input-dir') config.set('task.tanium-to-oscal', 'input-dir', 'tests/data/tasks/tanium/input-bad') section = config['task.tanium-to-oscal'] section['output-dir'] = str(tmp_path) tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.simulate() assert retval == TaskOutcome.SIM_FAILURE assert len(os.listdir(str(tmp_path))) == 0 def test_tanium_execute(tmp_path, monkeypatch: MonkeyPatch): """Test execute call.""" monkeybusiness = MonkeyBusiness() monkeypatch.setattr(tanium, '_uuid_component', monkeybusiness.uuid_component) monkeypatch.setattr(tanium, '_uuid_inventory', monkeybusiness.uuid_inventory) monkeypatch.setattr(tanium, '_uuid_observation', monkeybusiness.uuid_observation) monkeypatch.setattr(tanium, '_uuid_result', monkeybusiness.uuid_result) tanium.TaniumTransformer.set_timestamp('2021-02-24T19:31:13+00:00') assert tanium.TaniumTransformer.get_timestamp() == '2021-02-24T19:31:13+00:00' config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) section = config['task.tanium-to-oscal'] section['output-dir'] = str(tmp_path) section['cpus-max'] = '1' tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.execute() assert retval == TaskOutcome.SUCCESS assert len(os.listdir(str(tmp_path))) == 1 f_expected = pathlib.Path('tests/data/tasks/tanium/output/') / 'Tanium.oscal.json' f_produced = tmp_path / 'Tanium.oscal.json' assert list(open(f_produced, encoding=const.FILE_ENCODING)) == list(open(f_expected, encoding=const.FILE_ENCODING)) def test_tanium_execute_checking(tmp_path, monkeypatch: MonkeyPatch): """Test execute call.""" monkeybusiness = MonkeyBusiness() monkeypatch.setattr(tanium, '_uuid_component', monkeybusiness.uuid_component) monkeypatch.setattr(tanium, '_uuid_inventory', monkeybusiness.uuid_inventory) monkeypatch.setattr(tanium, '_uuid_observation', monkeybusiness.uuid_observation) monkeypatch.setattr(tanium, '_uuid_result', monkeybusiness.uuid_result) tanium.TaniumTransformer.set_timestamp('2021-02-24T19:31:13+00:00') assert tanium.TaniumTransformer.get_timestamp() == '2021-02-24T19:31:13+00:00' config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) section = config['task.tanium-to-oscal'] section['output-dir'] = str(tmp_path) section['cpus-max'] = '1' section['checking'] = 'true' tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.execute() assert retval == TaskOutcome.SUCCESS assert len(os.listdir(str(tmp_path))) == 1 f_expected = pathlib.Path('tests/data/tasks/tanium/output/') / 'Tanium.oscal.json' f_produced = tmp_path / 'Tanium.oscal.json' assert list(open(f_produced, encoding=const.FILE_ENCODING)) == list(open(f_expected, encoding=const.FILE_ENCODING)) def test_tanium_execute_one_file(tmp_path, monkeypatch: MonkeyPatch): """Test execute call.""" monkeybusiness = MonkeyBusiness() monkeypatch.setattr(tanium, '_uuid_component', monkeybusiness.uuid_component) monkeypatch.setattr(tanium, '_uuid_inventory', monkeybusiness.uuid_inventory) monkeypatch.setattr(tanium, '_uuid_observation', monkeybusiness.uuid_observation) monkeypatch.setattr(tanium, '_uuid_result', monkeybusiness.uuid_result) tanium.TaniumTransformer.set_timestamp('2021-02-24T19:31:13+00:00') assert tanium.TaniumTransformer.get_timestamp() == '2021-02-24T19:31:13+00:00' config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) section = config['task.tanium-to-oscal'] section['output-dir'] = str(tmp_path) tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.execute() assert retval == TaskOutcome.SUCCESS assert len(os.listdir(str(tmp_path))) == 1 def test_tanium_execute_blocksize(tmp_path, monkeypatch: MonkeyPatch): """Test execute optional call.""" monkeybusiness = MonkeyBusiness() monkeypatch.setattr(tanium, '_uuid_component', monkeybusiness.uuid_component) monkeypatch.setattr(tanium, '_uuid_inventory', monkeybusiness.uuid_inventory) monkeypatch.setattr(tanium, '_uuid_observation', monkeybusiness.uuid_observation) monkeypatch.setattr(tanium, '_uuid_result', monkeybusiness.uuid_result) config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) section = config['task.tanium-to-oscal'] section['output-dir'] = str(tmp_path) section['blocksize'] = '0' section['cpus-max'] = '0' section['cpus-min'] = '0' tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.execute() assert retval == TaskOutcome.SUCCESS def test_tanium_execute_cpus(tmp_path, monkeypatch: MonkeyPatch): """Test execute optional call.""" monkeybusiness = MonkeyBusiness() monkeypatch.setattr(tanium, '_uuid_component', monkeybusiness.uuid_component) monkeypatch.setattr(tanium, '_uuid_inventory', monkeybusiness.uuid_inventory) monkeypatch.setattr(tanium, '_uuid_observation', monkeybusiness.uuid_observation) monkeypatch.setattr(tanium, '_uuid_result', monkeybusiness.uuid_result) config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) section = config['task.tanium-to-oscal'] section['output-dir'] = str(tmp_path) # set values for number of CPUs to unattainable numbers forcing code to chose reasonable ones. section['cpus-max'] = '1000000' section['cpus-min'] = '2000000' tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.execute() assert retval == TaskOutcome.SUCCESS def test_tanium_execute_no_config(tmp_path): """Test execute no config call.""" tgt = tanium_to_oscal.TaniumToOscal(None) retval = tgt.execute() assert retval == TaskOutcome.FAILURE assert len(os.listdir(str(tmp_path))) == 0 def test_tanium_execute_no_overwrite_dir(tmp_path, monkeypatch: MonkeyPatch): """Test execute no overwrite directory call.""" tanium.TaniumTransformer.set_timestamp('2021-02-24T19:31:13+00:00') execute_no_overwrite_dir_part1(tmp_path, monkeypatch) execute_no_overwrite_dir_part2(tmp_path, monkeypatch) f_expected = pathlib.Path('tests/data/tasks/tanium/output/') / 'Tanium.oscal.json' f_produced = tmp_path / 'Tanium.oscal.json' assert list(open(f_produced, encoding=const.FILE_ENCODING)) == list(open(f_expected, encoding=const.FILE_ENCODING)) def execute_no_overwrite_dir_part1(tmp_path, monkeypatch: MonkeyPatch): """Create expected output.""" monkeybusiness = MonkeyBusiness() monkeypatch.setattr(tanium, '_uuid_component', monkeybusiness.uuid_component) monkeypatch.setattr(tanium, '_uuid_inventory', monkeybusiness.uuid_inventory) monkeypatch.setattr(tanium, '_uuid_observation', monkeybusiness.uuid_observation) monkeypatch.setattr(tanium, '_uuid_result', monkeybusiness.uuid_result) config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) section = config['task.tanium-to-oscal'] section['output-dir'] = str(tmp_path) section['cpus-max'] = '1' tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.execute() assert retval == TaskOutcome.SUCCESS assert len(os.listdir(str(tmp_path))) == 1 def execute_no_overwrite_dir_part2(tmp_path, monkeypatch: MonkeyPatch): """Attempt to overwrite.""" monkeybusiness = MonkeyBusiness() monkeypatch.setattr(tanium, '_uuid_component', monkeybusiness.uuid_component) monkeypatch.setattr(tanium, '_uuid_inventory', monkeybusiness.uuid_inventory) monkeypatch.setattr(tanium, '_uuid_observation', monkeybusiness.uuid_observation) monkeypatch.setattr(tanium, '_uuid_result', monkeybusiness.uuid_result) config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) section = config['task.tanium-to-oscal'] section['output-overwrite'] = 'false' section['output-dir'] = str(tmp_path) section['cpus-max'] = '1' tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.execute() assert retval == TaskOutcome.FAILURE def test_tanium_execute_no_input_dir(tmp_path): """Test execute with no input dir call.""" config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) config.remove_option('task.tanium-to-oscal', 'input-dir') section = config['task.tanium-to-oscal'] section['output-dir'] = str(tmp_path) tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.execute() assert retval == TaskOutcome.FAILURE assert len(os.listdir(str(tmp_path))) == 0 def test_tanium_execute_no_ouput_dir(tmp_path): """Test execute with no output dir call.""" config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) config.remove_option('task.tanium-to-oscal', 'output-dir') section = config['task.tanium-to-oscal'] tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.execute() assert retval == TaskOutcome.FAILURE assert len(os.listdir(str(tmp_path))) == 0 def test_tanium_execute_bad_timestamp(tmp_path): """Test execute with bad timestamp.""" config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) section = config['task.tanium-to-oscal'] section['timestamp'] = str('bogus') tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.execute() assert retval == TaskOutcome.FAILURE assert len(os.listdir(str(tmp_path))) == 0 def test_tanium_execute_override_timestamp(tmp_path, monkeypatch: MonkeyPatch): """Test execute override timestamp call.""" monkeybusiness = MonkeyBusiness() monkeypatch.setattr(tanium, '_uuid_component', monkeybusiness.uuid_component) monkeypatch.setattr(tanium, '_uuid_inventory', monkeybusiness.uuid_inventory) monkeypatch.setattr(tanium, '_uuid_observation', monkeybusiness.uuid_observation) monkeypatch.setattr(tanium, '_uuid_result', monkeybusiness.uuid_result) tanium.TaniumTransformer.set_timestamp('2020-02-24T19:31:13+00:00') assert tanium.TaniumTransformer.get_timestamp() == '2020-02-24T19:31:13+00:00' config = configparser.ConfigParser() config_path = pathlib.Path('tests/data/tasks/tanium/demo-tanium-to-oscal.config') config.read(config_path) section = config['task.tanium-to-oscal'] section['output-dir'] = str(tmp_path) section['cpus-max'] = '1' tgt = tanium_to_oscal.TaniumToOscal(section) retval = tgt.execute() assert retval == TaskOutcome.SUCCESS assert len(os.listdir(str(tmp_path))) == 1 f_expected = pathlib.Path('tests/data/tasks/tanium/output/') / 'Tanium.oscal.2020.json' f_produced = tmp_path / 'Tanium.oscal.json' assert list(open(f_produced, encoding=const.FILE_ENCODING)) == list(open(f_expected, encoding=const.FILE_ENCODING))

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7

b89f2b04b0e903da87c0d453b376ac6f47ef28a9

14,245

py

Python

tests/unit/test_pyext.py

mballance/pyastgen

08f85da180fefd9c602ef911a8c225c11f5dd4a0

[ "Apache-2.0" ]

null

tests/unit/test_pyext.py

mballance/pyastgen

08f85da180fefd9c602ef911a8c225c11f5dd4a0

[ "Apache-2.0" ]

null

tests/unit/test_pyext.py

mballance/pyastgen

08f85da180fefd9c602ef911a8c225c11f5dd4a0

[ "Apache-2.0" ]

null

''' Created on Mar 21, 2021 @author: mballance ''' from unittest.case import TestCase from unit.base_test import BaseTest import io from astbuilder.pyext_gen_pxd import PyExtGenPxd from astbuilder.outstream import OutStream from astbuilder.gen_cpp import GenCPP from astbuilder.pyext_gen import PyExtGen import os import subprocess import sys import shutil class TestPyExt(BaseTest): def test_smoke(self): doc = """ classes: - C1: - data: - f1 : int32_t - f2 : bool - C2: - super: C1 - data: - f3: string - f4: int32_t - children: list<UP<C1>> """ setup_py = """ import os import sys from setuptools import Extension, setup from Cython.Build import cythonize setup_dir=os.path.dirname(os.path.abspath(__file__)) sys.path.insert(0, os.path.join(setup_dir, "ext")) import ast_ext VERSION="0.0.1" PLATFORMS = "Any" ext = ast_ext.ext() for e in dir(ext): print("e: " + str(e)) ast_dir=os.path.join(setup_dir, 'ast') ext.include_dirs.append(ast_dir) ext.include_dirs.append(os.path.join(ast_dir, 'include')) ext.include_dirs.append(os.path.join(ast_dir, 'include', 'impl')) for f in os.listdir(ast_dir): file = os.path.join(ast_dir, f) if os.path.isfile(file) and os.path.splitext(f)[1] == ".cpp": print("Add: " + file) ext.sources.append(file) extensions = [ext] setup( name="libvsc", version="0.0.1", ext_modules=cythonize(extensions) ) """ print("Test: " + self._testMethodName + " " + self.id()) ast = self.loadAst(doc) astdir = os.path.join(self.testdir, "ast") os.makedirs(astdir) name = "testast" GenCPP(astdir, name, None, None).generate(ast) extdir = os.path.join(self.testdir, "ext") os.makedirs(extdir) PyExtGen(extdir, "ast", "test.ast", None, None).generate(ast) with open(os.path.join(self.testdir, "setup.py"), "w") as f: f.write(setup_py) if not os.path.isdir(os.path.join(self.testdir, "test")): os.makedirs(os.path.join(self.testdir, "test")) with open(os.path.join(self.testdir, "test", "__init__.py"), "w") as fp: fp.write("\n") shutil.copy( os.path.join(self.testdir, "ext", "ast_decl.pxd"), os.path.join(self.testdir, "test", "ast_decl.pxd")) shutil.copy( os.path.join(self.testdir, "ext", "ast.pxd"), os.path.join(self.testdir, "test", "ast.pxd")) ret = subprocess.call( [sys.executable, "setup.py", "build_ext", "--inplace"], cwd=self.testdir ) self.assertEqual(ret, 0) # Load just-compiled extension sys.path.insert(0, self.testdir) import test from test import ast as testast for e in dir(testast): print("e: " + str(e)) c2_i = testast.C2.create(1, False, "abc".encode(), 4) for e in dir(c2_i): print("e: " + str(e)) print("f3=" + c2_i.get_f3().decode()) self.assertEqual(c2_i.get_f3().decode(), "abc") class MyVisitor(testast.BaseVisitor): def __init__(self): super().__init__() def visitc1(self, i): print("visitc1") def visitc2(self, i): print("--> visitc2") super().visitc2(i) print("<-- visitc2") v = MyVisitor() for i in range(1000): c2_i.accept(v) def test_smoke_ns1(self): doc = """ classes: - C1: - data: - f1 : int32_t - f2 : bool - C2: - super: C1 - data: - f3: string - f4: int32_t - children: list<UP<C1>> """ setup_py = """ import os import sys from setuptools import Extension, setup from Cython.Build import cythonize setup_dir=os.path.dirname(os.path.abspath(__file__)) sys.path.insert(0, os.path.join(setup_dir, "ext")) import ast_ext VERSION="0.0.1" PLATFORMS = "Any" ext = ast_ext.ext() for e in dir(ext): print("e: " + str(e)) ast_dir=os.path.join(setup_dir, 'ast') ext.include_dirs.append(ast_dir) ext.include_dirs.append(os.path.join(ast_dir, 'include')) ext.include_dirs.append(os.path.join(ast_dir, 'include', 'impl')) for f in os.listdir(ast_dir): file = os.path.join(ast_dir, f) if os.path.isfile(file) and os.path.splitext(f)[1] == ".cpp": print("Add: " + file) ext.sources.append(file) extensions = [ext] setup( name="libvsc", version="0.0.1", ext_modules=cythonize(extensions) ) """ print("Test: " + self._testMethodName + " " + self.id()) ast = self.loadAst(doc) astdir = os.path.join(self.testdir, "ast") os.makedirs(astdir) name = "testast" GenCPP(astdir, name, None, "ns1").generate(ast) extdir = os.path.join(self.testdir, "ext") os.makedirs(extdir) PyExtGen(extdir, "ast", "test.ast", None, "ns1").generate(ast) with open(os.path.join(self.testdir, "setup.py"), "w") as f: f.write(setup_py) if not os.path.isdir(os.path.join(self.testdir, "test")): os.makedirs(os.path.join(self.testdir, "test")) with open(os.path.join(self.testdir, "test", "__init__.py"), "w") as fp: fp.write("\n") shutil.copy( os.path.join(self.testdir, "ext", "ast_decl.pxd"), os.path.join(self.testdir, "test", "ast_decl.pxd")) shutil.copy( os.path.join(self.testdir, "ext", "ast.pxd"), os.path.join(self.testdir, "test", "ast.pxd")) ret = subprocess.call( [sys.executable, "setup.py", "build_ext", "--inplace"], cwd=self.testdir ) self.assertEqual(ret, 0) # Load just-compiled extension sys.path.insert(0, self.testdir) import test from test import ast as testast for e in dir(testast): print("e: " + str(e)) c2_i = testast.C2.create(1, False, "abc".encode(), 4) for e in dir(c2_i): print("e: " + str(e)) print("f3=" + c2_i.get_f3().decode()) self.assertEqual(c2_i.get_f3().decode(), "abc") class MyVisitor(testast.BaseVisitor): def __init__(self): super().__init__() def visitc1(self, i): print("visitc1") def visitc2(self, i): print("--> visitc2") super().visitc2(i) print("<-- visitc2") v = MyVisitor() for i in range(1000): c2_i.accept(v) def test_smoke_ns2(self): doc = """ classes: - C1: - data: - f1 : int32_t - f2 : bool - C2: - super: C1 - data: - f3: string - f4: int32_t - children: list<UP<C1>> """ setup_py = """ import os import sys from setuptools import Extension, setup from Cython.Build import cythonize setup_dir=os.path.dirname(os.path.abspath(__file__)) sys.path.insert(0, os.path.join(setup_dir, "ext")) import ast_ext VERSION="0.0.1" PLATFORMS = "Any" ext = ast_ext.ext() for e in dir(ext): print("e: " + str(e)) ast_dir=os.path.join(setup_dir, 'ast') ext.include_dirs.append(ast_dir) ext.include_dirs.append(os.path.join(ast_dir, 'include')) ext.include_dirs.append(os.path.join(ast_dir, 'include', 'impl')) for f in os.listdir(ast_dir): file = os.path.join(ast_dir, f) if os.path.isfile(file) and os.path.splitext(f)[1] == ".cpp": print("Add: " + file) ext.sources.append(file) extensions = [ext] setup( name="libvsc", version="0.0.1", ext_modules=cythonize(extensions) ) """ print("Test: " + self._testMethodName + " " + self.id()) ast = self.loadAst(doc) astdir = os.path.join(self.testdir, "ast") os.makedirs(astdir) name = "testast" GenCPP(astdir, name, None, "ns1::ns2").generate(ast) extdir = os.path.join(self.testdir, "ext") os.makedirs(extdir) PyExtGen(extdir, "ast", "test.ast", None, "ns1::ns2").generate(ast) with open(os.path.join(self.testdir, "setup.py"), "w") as f: f.write(setup_py) if not os.path.isdir(os.path.join(self.testdir, "test")): os.makedirs(os.path.join(self.testdir, "test")) with open(os.path.join(self.testdir, "test", "__init__.py"), "w") as fp: fp.write("\n") shutil.copy( os.path.join(self.testdir, "ext", "ast_decl.pxd"), os.path.join(self.testdir, "test", "ast_decl.pxd")) shutil.copy( os.path.join(self.testdir, "ext", "ast.pxd"), os.path.join(self.testdir, "test", "ast.pxd")) ret = subprocess.call( [sys.executable, "setup.py", "build_ext", "--inplace"], cwd=self.testdir ) self.assertEqual(ret, 0) # Load just-compiled extension sys.path.insert(0, self.testdir) import test from test import ast as testast for e in dir(testast): print("e: " + str(e)) c2_i = testast.C2.create(1, False, "abc".encode(), 4) for e in dir(c2_i): print("e: " + str(e)) print("f3=" + c2_i.get_f3().decode()) self.assertEqual(c2_i.get_f3().decode(), "abc") class MyVisitor(testast.BaseVisitor): def __init__(self): super().__init__() def visitc1(self, i): print("visitc1") def visitc2(self, i): print("--> visitc2") super().visitc2(i) print("<-- visitc2") v = MyVisitor() for i in range(1000): c2_i.accept(v) def test_smoke_enum_ns1(self): doc = """ enums: - E1: - V1 - V2 classes: - C1: - data: - f1 : int32_t - f2 : bool - f3 : E1 - C2: - super: C1 - data: - f4: string - f5: int32_t - children: list<UP<C1>> """ setup_py = """ import os import sys from setuptools import Extension, setup from Cython.Build import cythonize setup_dir=os.path.dirname(os.path.abspath(__file__)) sys.path.insert(0, os.path.join(setup_dir, "ext")) import ast_ext VERSION="0.0.1" PLATFORMS = "Any" ext = ast_ext.ext() for e in dir(ext): print("e: " + str(e)) ast_dir=os.path.join(setup_dir, 'ast') ext.include_dirs.append(ast_dir) ext.include_dirs.append(os.path.join(ast_dir, 'include')) ext.include_dirs.append(os.path.join(ast_dir, 'include', 'impl')) for f in os.listdir(ast_dir): file = os.path.join(ast_dir, f) if os.path.isfile(file) and os.path.splitext(f)[1] == ".cpp": print("Add: " + file) ext.sources.append(file) extensions = [ext] setup( name="libvsc", version="0.0.1", ext_modules=cythonize(extensions) ) """ print("Test: " + self._testMethodName + " " + self.id()) ast = self.loadAst(doc) astdir = os.path.join(self.testdir, "ast") os.makedirs(astdir) name = "testast" GenCPP(astdir, name, None, "ns1").generate(ast) extdir = os.path.join(self.testdir, "ext") os.makedirs(extdir) PyExtGen(extdir, "ast", "test.ast", None, "ns1").generate(ast) with open(os.path.join(self.testdir, "setup.py"), "w") as f: f.write(setup_py) if not os.path.isdir(os.path.join(self.testdir, "test")): os.makedirs(os.path.join(self.testdir, "test")) with open(os.path.join(self.testdir, "test", "__init__.py"), "w") as fp: fp.write("\n") shutil.copy( os.path.join(self.testdir, "ext", "ast_decl.pxd"), os.path.join(self.testdir, "test", "ast_decl.pxd")) shutil.copy( os.path.join(self.testdir, "ext", "ast.pxd"), os.path.join(self.testdir, "test", "ast.pxd")) ret = subprocess.call( [sys.executable, "setup.py", "build_ext", "--inplace"], cwd=self.testdir ) self.assertEqual(ret, 0) # Load just-compiled extension sys.path.insert(0, self.testdir) import test from test import ast as testast for e in dir(testast): print("e: " + str(e)) c2_i = testast.C2.create(1, False, "abc".encode(), 4) for e in dir(c2_i): print("e: " + str(e)) print("f3=" + c2_i.get_f3().decode()) self.assertEqual(c2_i.get_f3().decode(), "abc") class MyVisitor(testast.BaseVisitor): def __init__(self): super().__init__() def visitc1(self, i): print("visitc1") def visitc2(self, i): print("--> visitc2") super().visitc2(i) print("<-- visitc2") v = MyVisitor() for i in range(1000): c2_i.accept(v)

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0

null

0

1

0

1

0

null

0

7

b21c683c835630da23fa8c6f25c09e2a0128940c

422

py

Python

bench/test_primitives.py

JarnoRFB/cattrs

dc38160b5f28579522fe3b6ca34d995c75209e48

[ "MIT" ]

364

2016-09-10T16:09:23.000Z

2021-10-20T03:26:06.000Z

bench/test_primitives.py

JarnoRFB/cattrs

dc38160b5f28579522fe3b6ca34d995c75209e48

[ "MIT" ]

167

2016-09-22T08:45:12.000Z

2021-10-21T13:34:35.000Z

bench/test_primitives.py

JarnoRFB/cattrs

dc38160b5f28579522fe3b6ca34d995c75209e48

[ "MIT" ]

65

2016-12-31T11:21:59.000Z

2021-09-29T10:07:38.000Z

import pytest from cattr import Converter, GenConverter @pytest.mark.parametrize("converter_cls", [Converter, GenConverter]) def test_unstructure_int(benchmark, converter_cls): c = converter_cls() benchmark(c.unstructure, 5) @pytest.mark.parametrize("converter_cls", [Converter, GenConverter]) def test_unstructure_float(benchmark, converter_cls): c = converter_cls() benchmark(c.unstructure, 15.0)

23.444444

68

0.767773

50

422

6.28

0.38

0.229299

0.133758

0.191083

0.808917

0.458599

0

0.010811

0.123223

422

17

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1

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false

0

0.2

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0.4

0

null

1

0

1

0

null

0

7

b24d20304a8eec77b551bca53d01feda21ab8a45

5,775

py

Python

tools/Buhlmann.py

albertofabrizio/Buhlmann

b99ac45a218f53808bea8cb534889c7e1488af50

[ "MIT" ]

null

tools/Buhlmann.py

albertofabrizio/Buhlmann

b99ac45a218f53808bea8cb534889c7e1488af50

[ "MIT" ]

null

tools/Buhlmann.py

albertofabrizio/Buhlmann

b99ac45a218f53808bea8cb534889c7e1488af50

[ "MIT" ]

1

2021-11-08T04:34:46.000Z

import numpy as np def ZHL16c(): ''' Paramters of the Buhlmann ZHL-16c algorithm for N2 and He ''' algo = np.array([ [4.0000e+00, 1.5100e+00, 1.2599e+00, 5.0500e-01, 1.6189e+00, 4.2450e-01], [8.0000e+00, 3.0200e+00, 1.0000e+00, 6.5140e-01, 1.3830e+00, 5.7470e-01], [1.2500e+01, 4.7200e+00, 8.6180e-01, 7.2220e-01, 1.1919e+00, 6.5270e-01], [1.8500e+01, 6.9900e+00, 7.5620e-01, 7.8250e-01, 1.0458e+00, 7.2230e-01], [2.7000e+01, 1.0210e+01, 6.2000e-01, 8.1260e-01, 9.2200e-01, 7.5820e-01], [3.8300e+01, 1.4480e+01, 5.0430e-01, 8.4340e-01, 8.2050e-01, 7.9570e-01], [5.4300e+01, 2.0530e+01, 4.4100e-01, 8.6930e-01, 7.3050e-01, 8.2790e-01], [7.7000e+01, 2.9110e+01, 4.0000e-01, 8.9100e-01, 6.5020e-01, 8.5530e-01], [1.0900e+02, 4.1200e+01, 3.7500e-01, 9.0920e-01, 5.9500e-01, 8.7570e-01], [1.4600e+02, 5.5190e+01, 3.5000e-01, 9.2220e-01, 5.5450e-01, 8.9030e-01], [1.8700e+02, 7.0690e+01, 3.2950e-01, 9.3190e-01, 5.3330e-01, 8.9970e-01], [2.3900e+02, 9.0340e+01, 3.0650e-01, 9.4030e-01, 5.1890e-01, 9.0730e-01], [3.0500e+02, 1.1529e+02, 2.8350e-01, 9.4770e-01, 5.1810e-01, 9.1220e-01], [3.9000e+02, 1.4742e+02, 2.6100e-01, 9.5440e-01, 5.1760e-01, 9.1710e-01], [4.9800e+02, 1.8824e+02, 2.4800e-01, 9.6020e-01, 5.1720e-01, 9.2170e-01], [6.3500e+02, 2.4003e+02, 2.3270e-01, 9.6530e-01, 5.1190e-01, 9.2670e-01]]) return algo def ZHL16c_1b(): ''' Paramters of the Buhlmann ZHL-16c algorithm for N2 and He ''' algo = np.array([ [5.0000e+00, 1.8800e+00, 1.1696e+00, 5.5780e-01, 1.6189e+00, 4.7700e-01], [8.0000e+00, 3.0200e+00, 1.0000e+00, 6.5140e-01, 1.3830e+00, 5.7470e-01], [1.2500e+01, 4.7200e+00, 8.6180e-01, 7.2220e-01, 1.1919e+00, 6.5270e-01], [1.8500e+01, 6.9900e+00, 7.5620e-01, 7.8250e-01, 1.0458e+00, 7.2230e-01], [2.7000e+01, 1.0210e+01, 6.2000e-01, 8.1260e-01, 9.2200e-01, 7.5820e-01], [3.8300e+01, 1.4480e+01, 5.0430e-01, 8.4340e-01, 8.2050e-01, 7.9570e-01], [5.4300e+01, 2.0530e+01, 4.4100e-01, 8.6930e-01, 7.3050e-01, 8.2790e-01], [7.7000e+01, 2.9110e+01, 4.0000e-01, 8.9100e-01, 6.5020e-01, 8.5530e-01], [1.0900e+02, 4.1200e+01, 3.7500e-01, 9.0920e-01, 5.9500e-01, 8.7570e-01], [1.4600e+02, 5.5190e+01, 3.5000e-01, 9.2220e-01, 5.5450e-01, 8.9030e-01], [1.8700e+02, 7.0690e+01, 3.2950e-01, 9.3190e-01, 5.3330e-01, 8.9970e-01], [2.3900e+02, 9.0340e+01, 3.0650e-01, 9.4030e-01, 5.1890e-01, 9.0730e-01], [3.0500e+02, 1.1529e+02, 2.8350e-01, 9.4770e-01, 5.1810e-01, 9.1220e-01], [3.9000e+02, 1.4742e+02, 2.6100e-01, 9.5440e-01, 5.1760e-01, 9.1710e-01], [4.9800e+02, 1.8824e+02, 2.4800e-01, 9.6020e-01, 5.1720e-01, 9.2170e-01], [6.3500e+02, 2.4003e+02, 2.3270e-01, 9.6530e-01, 5.1190e-01, 9.2670e-01]]) return algo def ZHL16a(): ''' Paramters of the Buhlmann ZHL-16a algorithm for N2 and He ''' algo = np.array([ [5.0000e+00, 1.8800e+00, 1.1696e+00, 5.5780e-01, 1.6189e+00, 4.7700e-01], [8.0000e+00, 3.0200e+00, 1.0000e+00, 6.5140e-01, 1.3830e+00, 5.7470e-01], [1.2500e+01, 4.7200e+00, 8.6180e-01, 7.2220e-01, 1.1919e+00, 6.5270e-01], [1.8500e+01, 6.9900e+00, 7.5620e-01, 7.8250e-01, 1.0458e+00, 7.2230e-01], [2.7000e+01, 1.0210e+01, 6.6670e-01, 8.1260e-01, 9.2200e-01, 7.5820e-01], [3.8300e+01, 1.4480e+01, 5.9330e-01, 8.4340e-01, 8.2050e-01, 7.9570e-01], [5.4300e+01, 2.0530e+01, 5.2820e-01, 8.6930e-01, 7.3050e-01, 8.2790e-01], [7.7000e+01, 2.9110e+01, 4.7100e-01, 8.9100e-01, 6.5020e-01, 8.5530e-01], [1.0900e+02, 4.1200e+01, 4.1870e-01, 9.0920e-01, 5.9500e-01, 8.7570e-01], [1.4600e+02, 5.5190e+01, 3.7980e-01, 9.2220e-01, 5.5450e-01, 8.9030e-01], [1.8700e+02, 7.0690e+01, 3.4970e-01, 9.3190e-01, 5.3330e-01, 8.9970e-01], [2.3900e+02, 9.0340e+01, 3.2230e-01, 9.4030e-01, 5.1890e-01, 9.0730e-01], [3.0500e+02, 1.1529e+02, 2.9710e-01, 9.4770e-01, 5.1810e-01, 9.1220e-01], [3.9000e+02, 1.4742e+02, 2.7370e-01, 9.5440e-01, 5.1760e-01, 9.1710e-01], [4.9800e+02, 1.8824e+02, 2.5230e-01, 9.6020e-01, 5.1720e-01, 9.2170e-01], [6.3500e+02, 2.4003e+02, 2.3270e-01, 9.6530e-01, 5.1190e-01, 9.2670e-01]]) return algo def ZHL16b(): ''' Paramters of the Buhlmann ZHL-16b algorithm for N2 and He ''' algo = np.array([ [5.0000e+00, 1.8800e+00, 1.1696e+00, 5.5780e-01, 1.6189e+00, 4.7700e-01], [8.0000e+00, 3.0200e+00, 1.0000e+00, 6.5140e-01, 1.3830e+00, 5.7470e-01], [1.2500e+01, 4.7200e+00, 8.6180e-01, 7.2220e-01, 1.1919e+00, 6.5270e-01], [1.8500e+01, 6.9900e+00, 7.5620e-01, 7.8250e-01, 1.0458e+00, 7.2230e-01], [2.7000e+01, 1.0210e+01, 6.6670e-01, 8.1260e-01, 9.2200e-01, 7.5820e-01], [3.8300e+01, 1.4480e+01, 5.6000e-01, 8.4340e-01, 8.2050e-01, 7.9570e-01], [5.4300e+01, 2.0530e+01, 4.9470e-01, 8.6930e-01, 7.3050e-01, 8.2790e-01], [7.7000e+01, 2.9110e+01, 4.5000e-01, 8.9100e-01, 6.5020e-01, 8.5530e-01], [1.0900e+02, 4.1200e+01, 4.1870e-01, 9.0920e-01, 5.9500e-01, 8.7570e-01], [1.4600e+02, 5.5190e+01, 3.7980e-01, 9.2220e-01, 5.5450e-01, 8.9030e-01], [1.8700e+02, 7.0690e+01, 3.4970e-01, 9.3190e-01, 5.3330e-01, 8.9970e-01], [2.3900e+02, 9.0340e+01, 3.2230e-01, 9.4030e-01, 5.1890e-01, 9.0730e-01], [3.0500e+02, 1.1529e+02, 2.8500e-01, 9.4770e-01, 5.1810e-01, 9.1220e-01], [3.9000e+02, 1.4742e+02, 2.7370e-01, 9.5440e-01, 5.1760e-01, 9.1710e-01], [4.9800e+02, 1.8824e+02, 2.5230e-01, 9.6020e-01, 5.1720e-01, 9.2170e-01], [6.3500e+02, 2.4003e+02, 2.3270e-01, 9.6530e-01, 5.1190e-01, 9.2670e-01]]) return algo

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b2a48d7d7aae85400698f58361f32258e7f834c0

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Python

wpt/websockets/websock_handlers/webkit/long-invalid-header_wsh.py

gsnedders/presto-testo

a0acfbef13a3f8cae67cc7145216d31b67aa8eb4

[ "BSD-3-Clause" ]

null

wpt/websockets/websock_handlers/webkit/long-invalid-header_wsh.py

gsnedders/presto-testo

a0acfbef13a3f8cae67cc7145216d31b67aa8eb4

[ "BSD-3-Clause" ]

null

wpt/websockets/websock_handlers/webkit/long-invalid-header_wsh.py

gsnedders/presto-testo

a0acfbef13a3f8cae67cc7145216d31b67aa8eb4

[ "BSD-3-Clause" ]

null

def web_socket_do_extra_handshake(request): msg = "HTTP/1.1 101 Web Socket Protocol Handshake\r\n" msg += ("p" * 1024) + "\r\n" request.connection.write(msg) def web_socket_transfer_data(request): msg = "HTTP/1.1 101 Web Socket Protocol Handshake\r\n" msg += ("p" * 1024) + "\r\n" request.connection.write(msg)

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py

Python

apps/arscheduling/arscheduler/testSets.py

DylanAPDavis/arscheduler

9cac8f285410f3435004ee575cee91a6a8550270

[ "Apache-2.0" ]

2

2016-06-07T09:44:58.000Z

2017-12-21T21:12:20.000Z

apps/arscheduling/arscheduler/testSets.py

DylanAPDavis/arscheduler

9cac8f285410f3435004ee575cee91a6a8550270

[ "Apache-2.0" ]

null

apps/arscheduling/arscheduler/testSets.py

DylanAPDavis/arscheduler

9cac8f285410f3435004ee575cee91a6a8550270

[ "Apache-2.0" ]

null

__author__ = 'dylan' # Sets of Flow Scheduling requests used to test ARScheduling module test_dictionary = { 1: [("10.0.0.1", "00:00:00:00:00:01", "10.0.0.2", "00:00:00:00:00:02", "1", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.2", "00:00:00:00:00:02", "2", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.2", "00:00:00:00:00:02", "3", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.2", "00:00:00:00:00:02", "2", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.2", "00:00:00:00:00:02", "1", "00:00", "00:01") ], 2: [("10.0.0.1", "00:00:00:00:00:01", "10.0.0.2", "00:00:00:00:00:02", "1", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.2", "00:00:00:00:00:02", "2", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.2", "00:00:00:00:00:02", "3", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.2", "00:00:00:00:00:02", "4", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.2", "00:00:00:00:00:02", "1", "00:00", "00:01") ], 3: [("10.0.0.1", "00:00:00:00:00:01", "10.0.0.3", "00:00:00:00:00:03", "1", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "2", "00:00", "00:01"), ("10.0.0.2", "00:00:00:00:00:02", "10.0.0.3", "00:00:00:00:00:03", "3", "00:00", "00:01"), ("10.0.0.2", "00:00:00:00:00:02", "10.0.0.4", "00:00:00:00:00:04", "2", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.3", "00:00:00:00:00:03", "1", "00:00", "00:01") ], 4: [("10.0.0.1", "00:00:00:00:00:01", "10.0.0.3", "00:00:00:00:00:03", "4", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "4", "00:00", "00:01"), ("10.0.0.2", "00:00:00:00:00:02", "10.0.0.3", "00:00:00:00:00:03", "2", "00:00", "00:01"), ("10.0.0.2", "00:00:00:00:00:02", "10.0.0.4", "00:00:00:00:00:04", "1", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.3", "00:00:00:00:00:03", "1", "00:00", "00:01") ], 5: [("10.0.0.1", "00:00:00:00:00:01", "10.0.0.5", "00:00:00:00:00:05", "1", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.5", "00:00:00:00:00:05", "2", "00:00", "00:01"), ("10.0.0.3", "00:00:00:00:00:03", "10.0.0.5", "00:00:00:00:00:05", "3", "00:00", "00:01"), ("10.0.0.3", "00:00:00:00:00:03", "10.0.0.5", "00:00:00:00:00:05", "2", "00:00", "00:01"), ("10.0.0.4", "00:00:00:00:00:04", "10.0.0.5", "00:00:00:00:00:05", "1", "00:00", "00:01") ], 6: [("10.0.0.1", "00:00:00:00:00:01", "10.0.0.5", "00:00:00:00:00:05", "7", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.5", "00:00:00:00:00:05", "4", "00:00", "00:01"), ("10.0.0.3", "00:00:00:00:00:03", "10.0.0.5", "00:00:00:00:00:05", "3", "00:00", "00:01"), ("10.0.0.3", "00:00:00:00:00:03", "10.0.0.5", "00:00:00:00:00:05", "4", "00:00", "00:01"), ("10.0.0.4", "00:00:00:00:00:04", "10.0.0.5", "00:00:00:00:00:05", "1", "00:00", "00:01") ], 7: [("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "8", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "2", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "7", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "2", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "1", "00:00", "00:01") ], 8: [("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "8", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "4", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "7", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "3", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "1", "00:00", "00:01") ], 9: [("10.0.0.1", "00:00:00:00:00:01", "10.0.0.2", "00:00:00:00:00:02", "1", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.3", "00:00:00:00:00:03", "2", "00:00", "00:01"), ("10.0.0.2", "00:00:00:00:00:02", "10.0.0.3", "00:00:00:00:00:03", "3", "00:00", "00:01"), ("10.0.0.4", "00:00:00:00:00:04", "10.0.0.1", "00:00:00:00:00:01", "2", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "1", "00:00", "00:01") ], 10: [("10.0.0.1", "00:00:00:00:00:01", "10.0.0.2", "00:00:00:00:00:02", "6", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.3", "00:00:00:00:00:03", "6", "00:00", "00:01"), ("10.0.0.2", "00:00:00:00:00:02", "10.0.0.3", "00:00:00:00:00:03", "6", "00:00", "00:01"), ("10.0.0.4", "00:00:00:00:00:04", "10.0.0.1", "00:00:00:00:00:01", "6", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "6", "00:00", "00:01") ], 11: [("10.0.0.1", "00:00:00:00:00:01", "10.0.0.4", "00:00:00:00:00:04", "5", "00:00", "00:01"), ("10.0.0.2", "00:00:00:00:00:02", "10.0.0.3", "00:00:00:00:00:03", "2", "00:00", "00:01"), ("10.0.0.1", "00:00:00:00:00:01", "10.0.0.3", "00:00:00:00:00:03", "1", "00:00", "00:01") ] }

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Python

algorithms/search/tests/student/test_dfs_by_critera.py

Tebs-Lab/learn-graph-theory

d883fb3ee095a9b80eebc33fd19aee33b35c7bae

[ "Unlicense" ]

9

2019-03-25T14:21:37.000Z

2021-12-06T19:19:49.000Z

algorithms/search/tests/student/test_dfs_by_critera.py

Tebs-Lab/learn-graph-theory

d883fb3ee095a9b80eebc33fd19aee33b35c7bae

[ "Unlicense" ]

null

algorithms/search/tests/student/test_dfs_by_critera.py

Tebs-Lab/learn-graph-theory

d883fb3ee095a9b80eebc33fd19aee33b35c7bae

[ "Unlicense" ]

4

2019-08-02T20:32:00.000Z

2020-10-14T02:19:50.000Z

from graphs.reference_implementation import DirectedGraph, UndirectedGraph from algorithms.search.student_implementation import depth_first_search_by_criteria def criterion(node): return node.upper() == 'E' def test_start_is_stop(): g = DirectedGraph() g.add_edge('a', 'b') g.add_edge('b', 'c') g.add_edge('b', 'd') g.add_edge('e', 'f') assert depth_first_search_by_criteria(g, 'e', criterion) == ['e'] def test_no_path_directed(): ''' Test BFS on a simple directed graph that contains a no cycles, and no path to the goal. ''' g = DirectedGraph() g.add_edge('a', 'b') g.add_edge('b', 'c') g.add_edge('b', 'd') g.add_edge('e', 'f') assert depth_first_search_by_criteria(g, 'a', criterion) is None def test_no_path_directed_cycles(): ''' Test BFS on a simple directed graph that contains cycles, but no path to the goal. ''' g = DirectedGraph() g.add_edge('a', 'b') g.add_edge('b', 'c') g.add_edge('c', 'a') g.add_edge('b', 'd') g.add_edge('e', 'f') assert depth_first_search_by_criteria(g, 'a', criterion) is None def test_single_path_directed(): g = DirectedGraph() g.add_edge('a', 'b') g.add_edge('b', 'c') g.add_edge('b', 'd') g.add_edge('d', 'e') g.add_edge('e', 'f') assert depth_first_search_by_criteria(g, 'a', criterion) == ['a', 'b', 'd', 'e'] def test_multiple_paths_directed(): g = DirectedGraph() g.add_edge('a', 'b') g.add_edge('b', 'c') g.add_edge('b', 'e') g.add_edge('b', 'd') g.add_edge('d', 'e') g.add_edge('e', 'f') found_path = depth_first_search_by_criteria(g, 'a', criterion) assert found_path == ['a', 'b', 'e'] or found_path == ['a', 'b', 'd', 'e'] def test_single_path_with_cycles_directed(): g = DirectedGraph() g.add_edge('a', 'b') g.add_edge('b', 'c') g.add_edge('c', 'h') g.add_edge('h', 'i') g.add_edge('i', 'j') g.add_edge('j', 'e') g.add_edge('b', 'd') g.add_edge('d', 'k') g.add_edge('k', 'f') g.add_edge('f', 'b') assert depth_first_search_by_criteria(g, 'a', criterion) == ['a', 'b', 'c', 'h', 'i', 'j', 'e'] def test_no_path_undirected(): ''' Test BFS on a simple undirected graph that contains a no cycles, and no path to the goal. ''' g = UndirectedGraph() g.add_edge('a', 'b') g.add_edge('b', 'c') g.add_edge('b', 'd') g.add_edge('e', 'f') assert depth_first_search_by_criteria(g, 'a', criterion) is None def test_no_path_undirected_cycles(): ''' Test BFS on a simple undirected graph that contains cycles, but no path to the goal. ''' g = UndirectedGraph() g.add_edge('a', 'b') g.add_edge('b', 'c') g.add_edge('c', 'a') g.add_edge('b', 'd') g.add_edge('e', 'f') assert depth_first_search_by_criteria(g, 'a', criterion) is None def test_single_path_undirected(): g = UndirectedGraph() g.add_edge('a', 'b') g.add_edge('b', 'c') g.add_edge('b', 'd') g.add_edge('d', 'e') g.add_edge('e', 'f') assert depth_first_search_by_criteria(g, 'a', criterion) == ['a', 'b', 'd', 'e'] def test_multiple_paths_undirected(): g = UndirectedGraph() g.add_edge('a', 'b') g.add_edge('b', 'c') g.add_edge('b', 'e') g.add_edge('b', 'd') g.add_edge('d', 'e') g.add_edge('e', 'f') found_path = depth_first_search_by_criteria(g, 'a', criterion) assert found_path == ['a', 'b', 'e'] or found_path == ['a', 'b', 'd', 'e'] def test_single_path_with_cycles_undirected(): g = UndirectedGraph() g.add_edge('a', 'b') g.add_edge('b', 'c') g.add_edge('c', 'h') g.add_edge('h', 'i') g.add_edge('i', 'j') g.add_edge('j', 'e') g.add_edge('b', 'd') g.add_edge('d', 'k') g.add_edge('k', 'f') g.add_edge('f', 'b') assert depth_first_search_by_criteria(g, 'a', criterion) == ['a', 'b', 'c', 'h', 'i', 'j', 'e'] def test_graph_with_tie(): g = UndirectedGraph() g.add_edge('a', 'b') g.add_edge('b', 'c') g.add_edge('b', 'd') g.add_edge('c', 'e') g.add_edge('d', 'e') found = depth_first_search_by_criteria(g, 'a', criterion) assert found == ['a', 'b', 'c', 'e'] or found == ['a', 'b', 'd', 'e']

26.320988

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0.240943

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0.863815

0.820166

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4,264

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100

26.484472

0.678815

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0.821429

0

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false

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0.008929

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0

null

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8

a2e8483b6d0ad6ba85579582873a92d66d4825c5

24,333

py

Python

src/server/domain/models.py

jhchen3121/wechat_shop

c9d9ad009df1e5bb0eb23ca8d830dd5c15df5328

[ "Apache-2.0" ]

null

src/server/domain/models.py

jhchen3121/wechat_shop

c9d9ad009df1e5bb0eb23ca8d830dd5c15df5328

[ "Apache-2.0" ]

5

2021-01-28T21:18:27.000Z

2022-03-25T19:10:01.000Z

src/server/domain/models.py

jhchen3121/wechat_shop

c9d9ad009df1e5bb0eb23ca8d830dd5c15df5328

[ "Apache-2.0" ]

null

# coding: utf-8 from sqlalchemy import CHAR, Column, DECIMAL, Float, String, Text, text from sqlalchemy.dialects.mysql import DECIMAL, INTEGER, MEDIUMINT, SMALLINT, TINYINT, VARCHAR from sqlalchemy import create_engine from core_backend.database.base import DomainBase import settings class WechatshopAd(DomainBase): __tablename__ = 'wechatshop_ad' id = Column(SMALLINT(5), primary_key=True, autoincrement=True) link_type = Column(TINYINT(1), nullable=False, server_default=text("'0'")) link = Column(String(255), server_default=text("''")) goods_id = Column(INTEGER(11), nullable=False, server_default=text("'0'")) image_url = Column(Text, nullable=False) end_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) enabled = Column(TINYINT(1), nullable=False, index=True, server_default=text("'0'")) sort_order = Column(TINYINT(2), nullable=False, server_default=text("'0'")) is_delete = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopAddres(DomainBase): __tablename__ = 'wechatshop_address' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) name = Column(String(50), nullable=False, server_default=text("''")) user_id = Column(MEDIUMINT(8), nullable=False, index=True, server_default=text("'0'")) country_id = Column(SMALLINT(5), nullable=False, server_default=text("'0'")) province_id = Column(SMALLINT(5), nullable=False, server_default=text("'0'")) city_id = Column(SMALLINT(5), nullable=False, server_default=text("'0'")) district_id = Column(SMALLINT(5), nullable=False, server_default=text("'0'")) address = Column(String(120), nullable=False, server_default=text("''")) mobile = Column(String(60), nullable=False, server_default=text("''")) is_default = Column(TINYINT(1), nullable=False, server_default=text("'0'")) is_delete = Column(TINYINT(1), server_default=text("'0'")) class WechatshopAdmin(DomainBase): __tablename__ = 'wechatshop_admin' id = Column(INTEGER(11), primary_key=True, autoincrement=True) username = Column(String(25), nullable=False, server_default=text("''")) password = Column(String(255), nullable=False, server_default=text("''")) password_salt = Column(String(255), nullable=False, server_default=text("''")) last_login_ip = Column(String(60), nullable=False, server_default=text("''")) last_login_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) is_delete = Column(TINYINT(1), server_default=text("'0'")) class WechatshopCart(DomainBase): __tablename__ = 'wechatshop_cart' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) user_id = Column(MEDIUMINT(8), nullable=False, server_default=text("'0'")) goods_id = Column(MEDIUMINT(8), nullable=False, server_default=text("'0'")) goods_sn = Column(String(60), nullable=False, server_default=text("''")) product_id = Column(MEDIUMINT(8), nullable=False, server_default=text("'0'")) goods_name = Column(String(120), nullable=False, server_default=text("''")) goods_aka = Column(String(120), nullable=False, server_default=text("''")) goods_weight = Column(Float(4, True), nullable=False, server_default=text("'0.00'")) add_price = Column(DECIMAL(10, 2), server_default=text("'0.00'")) retail_price = Column(DECIMAL(10, 2), nullable=False, server_default=text("'0.00'")) number = Column(SMALLINT(5), nullable=False, server_default=text("'0'")) goods_specifition_name_value = Column(Text, nullable=False) goods_specifition_ids = Column(String(60), nullable=False, server_default=text("''")) checked = Column(TINYINT(1), nullable=False, server_default=text("'1'")) list_pic_url = Column(String(255), nullable=False, server_default=text("''")) freight_template_id = Column(MEDIUMINT(4), nullable=False) is_on_sale = Column(TINYINT(1), nullable=False, server_default=text("'1'")) add_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) is_fast = Column(TINYINT(1), nullable=False, server_default=text("'0'")) is_delete = Column(TINYINT(2), nullable=False, server_default=text("'0'")) class WechatshopCategory(DomainBase): __tablename__ = 'wechatshop_category' id = Column(INTEGER(11), primary_key=True, autoincrement=True) name = Column(String(90), nullable=False, server_default=text("''")) keywords = Column(String(255), nullable=False, server_default=text("''")) front_desc = Column(String(255), nullable=False, server_default=text("''")) parent_id = Column(INTEGER(11), nullable=False, index=True, server_default=text("'0'")) sort_order = Column(TINYINT(1), nullable=False, server_default=text("'50'")) show_index = Column(TINYINT(1), nullable=False, server_default=text("'0'")) is_show = Column(TINYINT(1), nullable=False, server_default=text("'1'")) icon_url = Column(String(255), nullable=False) img_url = Column(String(255), nullable=False) level = Column(String(255), nullable=False) front_name = Column(String(255), nullable=False) p_height = Column(INTEGER(3), nullable=False, server_default=text("'0'")) is_category = Column(TINYINT(1), nullable=False, server_default=text("'0'")) is_channel = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopExceptArea(DomainBase): __tablename__ = 'wechatshop_except_area' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) content = Column(String(255), nullable=False) area = Column(String(3000), nullable=False, server_default=text("'0'")) is_delete = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopExceptAreaDetail(DomainBase): __tablename__ = 'wechatshop_except_area_detail' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) except_area_id = Column(INTEGER(11), nullable=False, server_default=text("'0'")) area = Column(INTEGER(5), nullable=False, server_default=text("'0'")) is_delete = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopFootprint(DomainBase): __tablename__ = 'wechatshop_footprint' id = Column(INTEGER(11), primary_key=True, autoincrement=True) user_id = Column(INTEGER(11), nullable=False, server_default=text("'0'")) goods_id = Column(INTEGER(11), nullable=False, server_default=text("'0'")) add_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) class WechatshopFormid(DomainBase): __tablename__ = 'wechatshop_formid' id = Column(INTEGER(11), primary_key=True, autoincrement=True) user_id = Column(INTEGER(11), nullable=False) order_id = Column(INTEGER(11), nullable=False) form_id = Column(String(255), nullable=False) add_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) use_times = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopFreightTemplate(DomainBase): __tablename__ = 'wechatshop_freight_template' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) name = Column(VARCHAR(120), nullable=False, server_default=text("'0'")) package_price = Column(DECIMAL(5, 2), nullable=False, server_default=text("'0.00'")) freight_type = Column(TINYINT(1), nullable=False, server_default=text("'0'")) is_delete = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopFreightTemplateDetail(DomainBase): __tablename__ = 'wechatshop_freight_template_detail' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) template_id = Column(INTEGER(11), nullable=False, server_default=text("'0'")) group_id = Column(INTEGER(11), nullable=False, server_default=text("'0'")) area = Column(INTEGER(5), nullable=False, server_default=text("'0'")) is_delete = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopFreightTemplateGroup(DomainBase): __tablename__ = 'wechatshop_freight_template_group' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) template_id = Column(INTEGER(11), nullable=False, server_default=text("'0'")) is_default = Column(TINYINT(1), nullable=False, server_default=text("'0'")) area = Column(String(3000), nullable=False, server_default=text("'0'")) start = Column(INTEGER(3), nullable=False, server_default=text("'1'")) start_fee = Column(DECIMAL(10, 2), nullable=False, server_default=text("'0.00'")) add = Column(INTEGER(3), nullable=False, server_default=text("'1'")) add_fee = Column(DECIMAL(10, 2), nullable=False, server_default=text("'0.00'")) free_by_number = Column(TINYINT(2), nullable=False, server_default=text("'0'")) free_by_money = Column(DECIMAL(10, 2), nullable=False, server_default=text("'0.00'")) is_delete = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopGood(DomainBase): __tablename__ = 'wechatshop_goods' id = Column(INTEGER(11), primary_key=True, autoincrement=True) category_id = Column(INTEGER(11), nullable=False, index=True, server_default=text("'0'")) is_on_sale = Column(TINYINT(1), nullable=False, server_default=text("'1'")) name = Column(String(120), nullable=False, server_default=text("''")) goods_number = Column(MEDIUMINT(8), nullable=False, index=True, server_default=text("'0'")) sell_volume = Column(INTEGER(11), nullable=False, server_default=text("'0'")) keywords = Column(String(255), nullable=False, server_default=text("''")) retail_price = Column(String(100), nullable=False, server_default=text("'0.00'")) min_retail_price = Column(DECIMAL(10, 2), server_default=text("'0.00'")) cost_price = Column(String(100), nullable=False, server_default=text("'0.00'")) min_cost_price = Column(DECIMAL(10, 2), server_default=text("'0.00'")) goods_brief = Column(String(255), nullable=False, server_default=text("''")) goods_desc = Column(Text) sort_order = Column(SMALLINT(4), nullable=False, index=True, server_default=text("'100'")) is_index = Column(TINYINT(1), server_default=text("'0'")) is_new = Column(TINYINT(1), server_default=text("'0'")) goods_unit = Column(String(45), nullable=False) https_pic_url = Column(String(255), nullable=False, server_default=text("'0'")) list_pic_url = Column(String(255), nullable=False) freight_template_id = Column(INTEGER(5), server_default=text("'0'")) freight_type = Column(TINYINT(1), server_default=text("'0'")) is_delete = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopGoodsGallery(DomainBase): __tablename__ = 'wechatshop_goods_gallery' id = Column(INTEGER(11), primary_key=True, autoincrement=True) goods_id = Column(INTEGER(11), nullable=False, index=True, server_default=text("'0'")) img_url = Column(String(255), nullable=False, server_default=text("''")) img_desc = Column(String(255), nullable=False, server_default=text("''")) sort_order = Column(INTEGER(11), nullable=False, server_default=text("'5'")) is_delete = Column(TINYINT(1), server_default=text("'0'")) class WechatshopGoodsSpecification(DomainBase): __tablename__ = 'wechatshop_goods_specification' id = Column(INTEGER(11), primary_key=True, autoincrement=True) goods_id = Column(INTEGER(11), nullable=False, index=True, server_default=text("'0'")) specification_id = Column(INTEGER(11), nullable=False, index=True, server_default=text("'0'")) value = Column(String(50), nullable=False, server_default=text("''")) pic_url = Column(String(255), nullable=False, server_default=text("''")) is_delete = Column(TINYINT(1), server_default=text("'0'")) class WechatshopKeyword(DomainBase): __tablename__ = 'wechatshop_keywords' keyword = Column(String(90), primary_key=True, nullable=False, server_default=text("''")) is_hot = Column(TINYINT(1), nullable=False, server_default=text("'0'")) is_default = Column(TINYINT(1), nullable=False, server_default=text("'0'")) is_show = Column(TINYINT(1), nullable=False, server_default=text("'1'")) sort_order = Column(INTEGER(11), nullable=False, server_default=text("'100'")) scheme__url = Column('scheme _url', String(255), nullable=False, server_default=text("''")) id = Column(INTEGER(11), primary_key=True, autoincrement=True, nullable=False) type = Column(INTEGER(11), nullable=False, server_default=text("'0'")) class WechatshopNotice(DomainBase): __tablename__ = 'wechatshop_notice' id = Column(INTEGER(11), primary_key=True, autoincrement=True) content = Column(String(255), nullable=False, server_default=text("'0'")) end_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) is_delete = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopOrder(DomainBase): __tablename__ = 'wechatshop_order' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) order_sn = Column(String(20), nullable=False, unique=True, server_default=text("''")) user_id = Column(MEDIUMINT(8), nullable=False, index=True, server_default=text("'0'")) order_status = Column(SMALLINT(4), nullable=False, index=True, server_default=text("'0'")) offline_pay = Column(TINYINT(1), server_default=text("'0'")) shipping_status = Column(TINYINT(1), nullable=False, index=True, server_default=text("'0'")) print_status = Column(TINYINT(1), nullable=False, server_default=text("'0'")) pay_status = Column(TINYINT(1), nullable=False, index=True, server_default=text("'0'")) consignee = Column(String(60), nullable=False, server_default=text("''")) country = Column(SMALLINT(5), nullable=False, server_default=text("'0'")) province = Column(SMALLINT(5), nullable=False, server_default=text("'0'")) city = Column(SMALLINT(5), nullable=False, server_default=text("'0'")) district = Column(SMALLINT(5), nullable=False, server_default=text("'0'")) address = Column(String(255), nullable=False, server_default=text("''")) print_info = Column(String(255), nullable=False, server_default=text("''")) mobile = Column(String(60), nullable=False, server_default=text("''")) postscript = Column(String(255), nullable=False, server_default=text("''")) admin_memo = Column(VARCHAR(255)) shipping_fee = Column(DECIMAL(10, 2), nullable=False, server_default=text("'0.00'")) pay_name = Column(String(120), nullable=False, server_default=text("''")) pay_id = Column(VARCHAR(255), nullable=False, index=True, server_default=text("'0'")) change_price = Column(DECIMAL(10, 2), nullable=False, server_default=text("'0.00'")) actual_price = Column(DECIMAL(10, 2), nullable=False, server_default=text("'0.00'")) order_price = Column(DECIMAL(10, 2), nullable=False, server_default=text("'0.00'")) goods_price = Column(DECIMAL(10, 2), nullable=False, server_default=text("'0.00'")) add_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) pay_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) shipping_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) confirm_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) dealdone_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) freight_price = Column(INTEGER(10), nullable=False, server_default=text("'0'")) express_value = Column(DECIMAL(10, 2), nullable=False, server_default=text("'480.00'")) remark = Column(String(255), nullable=False, server_default=text("'???????????????'")) order_type = Column(TINYINT(2), nullable=False, server_default=text("'0'")) is_delete = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopOrderExpres(DomainBase): __tablename__ = 'wechatshop_order_express' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) order_id = Column(MEDIUMINT(8), nullable=False, index=True, server_default=text("'0'")) shipper_id = Column(MEDIUMINT(8), nullable=False, server_default=text("'0'")) shipper_name = Column(String(120), nullable=False, server_default=text("''")) shipper_code = Column(String(60), nullable=False, server_default=text("''")) logistic_code = Column(String(40), nullable=False, server_default=text("''")) traces = Column(String(2000), nullable=False, server_default=text("''")) is_finish = Column(TINYINT(1), nullable=False, server_default=text("'0'")) request_count = Column(INTEGER(11), server_default=text("'0'")) request_time = Column(INTEGER(11), server_default=text("'0'")) add_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) update_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) express_type = Column(TINYINT(1), nullable=False, server_default=text("'0'")) region_code = Column(String(10), nullable=False, server_default=text("'0'")) class WechatshopOrderGood(DomainBase): __tablename__ = 'wechatshop_order_goods' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) order_id = Column(MEDIUMINT(8), nullable=False, index=True, server_default=text("'0'")) goods_id = Column(MEDIUMINT(8), nullable=False, index=True, server_default=text("'0'")) goods_name = Column(String(120), nullable=False, server_default=text("''")) goods_aka = Column(String(120), nullable=False) product_id = Column(MEDIUMINT(8), nullable=False, server_default=text("'0'")) number = Column(SMALLINT(5), nullable=False, server_default=text("'1'")) retail_price = Column(DECIMAL(10, 2), nullable=False, server_default=text("'0.00'")) goods_specifition_name_value = Column(Text, nullable=False) goods_specifition_ids = Column(String(255), nullable=False, server_default=text("''")) list_pic_url = Column(String(255), nullable=False, server_default=text("''")) user_id = Column(MEDIUMINT(8), nullable=False, server_default=text("'0'")) is_delete = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopProduct(DomainBase): __tablename__ = 'wechatshop_product' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) goods_id = Column(MEDIUMINT(8), nullable=False, server_default=text("'0'")) goods_specification_ids = Column(String(50), nullable=False, server_default=text("''")) goods_sn = Column(String(60), nullable=False, server_default=text("''")) goods_number = Column(MEDIUMINT(8), nullable=False, server_default=text("'0'")) retail_price = Column(DECIMAL(10, 2), nullable=False, server_default=text("'0.00'")) cost = Column(DECIMAL(10, 2), nullable=False, server_default=text("'0.00'")) goods_weight = Column(Float(6, True), nullable=False, server_default=text("'0.00'")) has_change = Column(TINYINT(1), nullable=False, server_default=text("'0'")) goods_name = Column(String(120), nullable=False) is_on_sale = Column(TINYINT(1), nullable=False, server_default=text("'1'")) is_delete = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopRegion(DomainBase): __tablename__ = 'wechatshop_region' id = Column(SMALLINT(5), primary_key=True, autoincrement=True) parent_id = Column(SMALLINT(5), nullable=False, index=True, server_default=text("'0'")) name = Column(String(120), nullable=False, server_default=text("''")) type = Column(TINYINT(1), nullable=False, index=True, server_default=text("'2'")) agency_id = Column(SMALLINT(5), nullable=False, index=True, server_default=text("'0'")) area = Column(SMALLINT(5), nullable=False, server_default=text("'0'")) area_code = Column(VARCHAR(10), nullable=False, server_default=text("'0'")) far_area = Column(INTEGER(2), nullable=False, server_default=text("'0'")) class WechatshopSearchHistory(DomainBase): __tablename__ = 'wechatshop_search_history' id = Column(INTEGER(10), primary_key=True, autoincrement=True) keyword = Column(CHAR(50), nullable=False) _from = Column('from', String(45), nullable=False, server_default=text("''")) add_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) user_id = Column(String(45)) class WechatshopSetting(DomainBase): __tablename__ = 'wechatshop_settings' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) autoDelivery = Column(TINYINT(1), nullable=False, server_default=text("'0'")) Name = Column(String(100), nullable=False) Tel = Column(String(20), nullable=False) ProvinceName = Column(String(20), nullable=False) CityName = Column(String(20), nullable=False) ExpAreaName = Column(String(20), nullable=False) Address = Column(String(20), nullable=False) discovery_img_height = Column(INTEGER(4), nullable=False, server_default=text("'0'")) discovery_img = Column(String(255), nullable=False, server_default=text("''")) goods_id = Column(INTEGER(11), nullable=False, server_default=text("'0'")) city_id = Column(INTEGER(5), nullable=False, server_default=text("'0'")) province_id = Column(INTEGER(5), nullable=False, server_default=text("'0'")) district_id = Column(INTEGER(5), nullable=False, server_default=text("'0'")) countdown = Column(INTEGER(11), nullable=False, server_default=text("'0'")) reset = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopShipper(DomainBase): __tablename__ = 'wechatshop_shipper' id = Column(INTEGER(11), primary_key=True, autoincrement=True, unique=True) name = Column(String(20), nullable=False, server_default=text("''")) code = Column(String(10), nullable=False, server_default=text("''")) sort_order = Column(INTEGER(11), nullable=False, server_default=text("'10'")) MonthCode = Column(String(100)) CustomerName = Column(String(100)) enabled = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopShowSetting(DomainBase): __tablename__ = 'wechatshop_show_settings' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) banner = Column(TINYINT(1), nullable=False, server_default=text("'0'")) channel = Column(TINYINT(1), nullable=False, server_default=text("'0'")) index_banner_img = Column(TINYINT(1), nullable=False, server_default=text("'0'")) notice = Column(TINYINT(1), nullable=False, server_default=text("'0'")) class WechatshopSpecification(DomainBase): __tablename__ = 'wechatshop_specification' id = Column(INTEGER(11), primary_key=True, autoincrement=True) name = Column(String(60), nullable=False, server_default=text("''")) sort_order = Column(TINYINT(3), nullable=False, server_default=text("'0'")) memo = Column(VARCHAR(255), nullable=False, server_default=text("'0'")) class WechatshopUser(DomainBase): __tablename__ = 'wechatshop_user' id = Column(MEDIUMINT(8), primary_key=True, autoincrement=True) nickname = Column(String(1024), nullable=False) name = Column(String(60), nullable=False, server_default=text("''")) username = Column(String(60), nullable=False, server_default=text("''")) password = Column(String(32), nullable=False, server_default=text("''")) gender = Column(TINYINT(1), nullable=False, server_default=text("'0'")) birthday = Column(INTEGER(11), nullable=False, server_default=text("'0'")) register_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) last_login_time = Column(INTEGER(11), nullable=False, server_default=text("'0'")) last_login_ip = Column(String(15), nullable=False, server_default=text("''")) mobile = Column(String(20), nullable=False) register_ip = Column(String(45), nullable=False, server_default=text("''")) avatar = Column(String(255), nullable=False, server_default=text("''")) weixin_openid = Column(String(50), nullable=False, server_default=text("''")) name_mobile = Column(TINYINT(1), nullable=False, server_default=text("'0'")) country = Column(String(255), server_default=text("'0'")) province = Column(String(100), server_default=text("'0'")) city = Column(String(100), server_default=text("'0'")) #engine = create_engine(settings.DB_URL) #DomainBase.metadata.create_all(engine)

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a2f475ff17f0490b3086e84352c11c21273da44e

886,018

py

Python

src/encoding/declare/tests/test_declare_mining.py

fleur101/predict-python

d40c876d919232bbb77904e050b182c875bc36fa

[ "MIT" ]

12

2018-06-27T08:09:18.000Z

2021-10-10T22:19:04.000Z

src/encoding/declare/tests/test_declare_mining.py

fleur101/predict-python

d40c876d919232bbb77904e050b182c875bc36fa

[ "MIT" ]

17

2018-06-12T17:36:11.000Z

2020-11-16T21:23:22.000Z

src/encoding/declare/tests/test_declare_mining.py

fleur101/predict-python

d40c876d919232bbb77904e050b182c875bc36fa

[ "MIT" ]

16

2018-08-02T14:40:17.000Z

2021-11-12T12:28:46.000Z

from django.test import TestCase from src.encoding.declare.declare_mining import filter_candidates_by_support, generate_train_candidate_constraints, \ find_if_satisfied_by_class, apply_template_to_log, template_sizes, transform_results_to_numpy class TestDeclareMining(TestCase): """Proof of concept tests""" def setUp(self) -> None: self.labels = {'2_100': 'false', '2_101': 'true', '2_102': 'false', '2_103': 'true', '2_104': 'true', '2_105': 'false', '2_106': 'false', '2_107': 'false', '2_108': 'true', '2_109': 'true', '2_126': 'false', '2_124': 'true', '2_122': 'true', '2_123': 'false'} self.transformed_log = { '2_100': {'Contact Hospital': [3], 'Create Questionnaire': [1], 'High Insurance Check': [2], 'High Medical History': [4], 'Prepare Notification Content': [6], 'Register': [0], 'Reject Claim': [5]}, '2_101': {'Accept Claim': [4], 'Create Questionnaire': [2], 'Low Insurance Check': [3], 'Low Medical History': [1], 'Prepare Notification Content': [5], 'Register': [0], 'Send Questionnaire': [6]}, '2_102': {'Contact Hospital': [4], 'Create Questionnaire': [1], 'High Insurance Check': [2], 'High Medical History': [3], 'Prepare Notification Content': [6], 'Register': [0], 'Reject Claim': [5]}, '2_103': {'Accept Claim': [3], 'Create Questionnaire': [4], 'Low Insurance Check': [2], 'Low Medical History': [1], 'Prepare Notification Content': [5], 'Register': [0], 'Send Notification by e-mail': [6]}, '2_104': {'Accept Claim': [3], 'Create Questionnaire': [5], 'Low Insurance Check': [2], 'Low Medical History': [1], 'Prepare Notification Content': [4], 'Register': [0], 'Send Notification by e-mail': [6]}, '2_105': {'Contact Hospital': [1], 'Create Questionnaire': [6], 'High Insurance Check': [3], 'High Medical History': [2], 'Prepare Notification Content': [5], 'Register': [0], 'Reject Claim': [4]}, '2_106': {'Contact Hospital': [1], 'Create Questionnaire': [3], 'High Insurance Check': [2], 'High Medical History': [4], 'Prepare Notification Content': [6], 'Register': [0], 'Reject Claim': [5]}, '2_107': {'Create Questionnaire': [1], 'Low Insurance Check': [3], 'Low Medical History': [2], 'Prepare Notification Content': [5], 'Register': [0], 'Reject Claim': [4], 'Send Notification by e-mail': [6]}, '2_108': {'Accept Claim': [3], 'Create Questionnaire': [4], 'Low Insurance Check': [2], 'Low Medical History': [1], 'Prepare Notification Content': [5], 'Register': [0], 'Send Notification by Post': [6]}, '2_109': {'Accept Claim': [5], 'Contact Hospital': [4], 'Create Questionnaire': [1], 'High Insurance Check': [3], 'High Medical History': [2], 'Prepare Notification Content': [6], 'Register': [0]}, '2_126': {'Create Questionnaire': [1], 'Low Insurance Check': [3], 'Low Medical History': [2], 'Prepare Notification Content': [5], 'Register': [0], 'Reject Claim': [4], 'Send Questionnaire': [6]}, '2_124': {'Accept Claim': [5], 'Contact Hospital': [3], 'Create Questionnaire': [1], 'High Insurance Check': [4], 'High Medical History': [2], 'Prepare Notification Content': [6], 'Register': [0]}, '2_122': {'Accept Claim': [4], 'Contact Hospital': [3], 'Create Questionnaire': [6], 'High Insurance Check': [1], 'High Medical History': [2], 'Prepare Notification Content': [5], 'Register': [0]}, '2_123': {'Contact Hospital': [3], 'Create Questionnaire': [5], 'High Insurance Check': [1], 'High Medical History': [2], 'Prepare Notification Content': [6], 'Register': [0], 'Reject Claim': [4]}} def test_find_if_satisfied_by_class(self): constraint_result = [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1] constraint_support_true = 0 constraint_support_false = 0 satis_true, satis_false = find_if_satisfied_by_class(constraint_result, self.transformed_log, self.labels, constraint_support_true, constraint_support_false) expected_true = True expected_false = True self.assertEqual(expected_true, satis_true) self.assertEqual(expected_false, satis_false) def test_generate_train_candidate_constraints(self): candidates = [('Accept Claim',), ('Send Questionnaire',), ('Create Questionnaire',), ('Prepare Notification Content',), ('Register',), ('Reject Claim',), ('Low Insurance Check',), ('Send Notification by e-mail',), ('Send Notification by Post',), ('Low Medical History',), ('Contact Hospital',), ('High Medical History',), ('High Insurance Check',), ('Accept Claim', 'Send Questionnaire'), ('Accept Claim', 'Create Questionnaire'), ('Accept Claim', 'Prepare Notification Content'), ('Accept Claim', 'Register'), ('Accept Claim', 'Reject Claim'), ('Accept Claim', 'Low Insurance Check'), ('Accept Claim', 'Send Notification by e-mail'), ('Accept Claim', 'Send Notification by Post'), ('Accept Claim', 'Low Medical History'), ('Accept Claim', 'Contact Hospital'), ('Accept Claim', 'High Medical History'), ('Accept Claim', 'High Insurance Check'), ('Send Questionnaire', 'Accept Claim'), ('Send Questionnaire', 'Create Questionnaire'), ('Send Questionnaire', 'Prepare Notification Content'), ('Send Questionnaire', 'Register'), ('Send Questionnaire', 'Reject Claim'), ('Send Questionnaire', 'Low Insurance Check'), ('Send Questionnaire', 'Send Notification by e-mail'), ('Send Questionnaire', 'Send Notification by Post'), ('Send Questionnaire', 'Low Medical History'), ('Send Questionnaire', 'Contact Hospital'), ('Send Questionnaire', 'High Medical History'), ('Send Questionnaire', 'High Insurance Check'), ('Create Questionnaire', 'Accept Claim'), ('Create Questionnaire', 'Send Questionnaire'), ('Create Questionnaire', 'Prepare Notification Content'), ('Create Questionnaire', 'Register'), ('Create Questionnaire', 'Reject Claim'), ('Create Questionnaire', 'Low Insurance Check'), ('Create Questionnaire', 'Send Notification by e-mail'), ('Create Questionnaire', 'Send Notification by Post'), ('Create Questionnaire', 'Low Medical History'), ('Create Questionnaire', 'Contact Hospital'), ('Create Questionnaire', 'High Medical History'), ('Create Questionnaire', 'High Insurance Check'), ('Prepare Notification Content', 'Accept Claim'), ('Prepare Notification Content', 'Send Questionnaire'), ('Prepare Notification Content', 'Create Questionnaire'), ('Prepare Notification Content', 'Register'), ('Prepare Notification Content', 'Reject Claim'), ('Prepare Notification Content', 'Low Insurance Check'), ('Prepare Notification Content', 'Send Notification by e-mail'), ('Prepare Notification Content', 'Send Notification by Post'), ('Prepare Notification Content', 'Low Medical History'), ('Prepare Notification Content', 'Contact Hospital'), ('Prepare Notification Content', 'High Medical History'), ('Prepare Notification Content', 'High Insurance Check'), ('Register', 'Accept Claim'), ('Register', 'Send Questionnaire'), ('Register', 'Create Questionnaire'), ('Register', 'Prepare Notification Content'), ('Register', 'Reject Claim'), ('Register', 'Low Insurance Check'), ('Register', 'Send Notification by e-mail'), ('Register', 'Send Notification by Post'), ('Register', 'Low Medical History'), ('Register', 'Contact Hospital'), ('Register', 'High Medical History'), ('Register', 'High Insurance Check'), ('Reject Claim', 'Accept Claim'), ('Reject Claim', 'Send Questionnaire'), ('Reject Claim', 'Create Questionnaire'), ('Reject Claim', 'Prepare Notification Content'), ('Reject Claim', 'Register'), ('Reject Claim', 'Low Insurance Check'), ('Reject Claim', 'Send Notification by e-mail'), ('Reject Claim', 'Send Notification by Post'), ('Reject Claim', 'Low Medical History'), ('Reject Claim', 'Contact Hospital'), ('Reject Claim', 'High Medical History'), ('Reject Claim', 'High Insurance Check'), ('Low Insurance Check', 'Accept Claim'), ('Low Insurance Check', 'Send Questionnaire'), ('Low Insurance Check', 'Create Questionnaire'), ('Low Insurance Check', 'Prepare Notification Content'), ('Low Insurance Check', 'Register'), ('Low Insurance Check', 'Reject Claim'), ('Low Insurance Check', 'Send Notification by e-mail'), ('Low Insurance Check', 'Send Notification by Post'), ('Low Insurance Check', 'Low Medical History'), ('Low Insurance Check', 'Contact Hospital'), ('Low Insurance Check', 'High Medical History'), ('Low Insurance Check', 'High Insurance Check'), ('Send Notification by e-mail', 'Accept Claim'), ('Send Notification by e-mail', 'Send Questionnaire'), ('Send Notification by e-mail', 'Create Questionnaire'), ('Send Notification by e-mail', 'Prepare Notification Content'), ('Send Notification by e-mail', 'Register'), ('Send Notification by e-mail', 'Reject Claim'), ('Send Notification by e-mail', 'Low Insurance Check'), ('Send Notification by e-mail', 'Send Notification by Post'), ('Send Notification by e-mail', 'Low Medical History'), ('Send Notification by e-mail', 'Contact Hospital'), ('Send Notification by e-mail', 'High Medical History'), ('Send Notification by e-mail', 'High Insurance Check'), ('Send Notification by Post', 'Accept Claim'), ('Send Notification by Post', 'Send Questionnaire'), ('Send Notification by Post', 'Create Questionnaire'), ('Send Notification by Post', 'Prepare Notification Content'), ('Send Notification by Post', 'Register'), ('Send Notification by Post', 'Reject Claim'), ('Send Notification by Post', 'Low Insurance Check'), ('Send Notification by Post', 'Send Notification by e-mail'), ('Send Notification by Post', 'Low Medical History'), ('Send Notification by Post', 'Contact Hospital'), ('Send Notification by Post', 'High Medical History'), ('Send Notification by Post', 'High Insurance Check'), ('Low Medical History', 'Accept Claim'), ('Low Medical History', 'Send Questionnaire'), ('Low Medical History', 'Create Questionnaire'), ('Low Medical History', 'Prepare Notification Content'), ('Low Medical History', 'Register'), ('Low Medical History', 'Reject Claim'), ('Low Medical History', 'Low Insurance Check'), ('Low Medical History', 'Send Notification by e-mail'), ('Low Medical History', 'Send Notification by Post'), ('Low Medical History', 'Contact Hospital'), ('Low Medical History', 'High Medical History'), ('Low Medical History', 'High Insurance Check'), ('Contact Hospital', 'Accept Claim'), ('Contact Hospital', 'Send Questionnaire'), ('Contact Hospital', 'Create Questionnaire'), ('Contact Hospital', 'Prepare Notification Content'), ('Contact Hospital', 'Register'), ('Contact Hospital', 'Reject Claim'), ('Contact Hospital', 'Low Insurance Check'), ('Contact Hospital', 'Send Notification by e-mail'), ('Contact Hospital', 'Send Notification by Post'), ('Contact Hospital', 'Low Medical History'), ('Contact Hospital', 'High Medical History'), ('Contact Hospital', 'High Insurance Check'), ('High Medical History', 'Accept Claim'), ('High Medical History', 'Send Questionnaire'), ('High Medical History', 'Create Questionnaire'), ('High Medical History', 'Prepare Notification Content'), ('High Medical History', 'Register'), ('High Medical History', 'Reject Claim'), ('High Medical History', 'Low Insurance Check'), ('High Medical History', 'Send Notification by e-mail'), ('High Medical History', 'Send Notification by Post'), ('High Medical History', 'Low Medical History'), ('High Medical History', 'Contact Hospital'), ('High Medical History', 'High Insurance Check'), ('High Insurance Check', 'Accept Claim'), ('High Insurance Check', 'Send Questionnaire'), ('High Insurance Check', 'Create Questionnaire'), ('High Insurance Check', 'Prepare Notification Content'), ('High Insurance Check', 'Register'), ('High Insurance Check', 'Reject Claim'), ('High Insurance Check', 'Low Insurance Check'), ('High Insurance Check', 'Send Notification by e-mail'), ('High Insurance Check', 'Send Notification by Post'), ('High Insurance Check', 'Low Medical History'), ('High Insurance Check', 'Contact Hospital'), ('High Insurance Check', 'High Medical History')] templates = ['init', 'exist', 'absence1', 'absence2', 'absence3', 'choice', 'coexistence', 'exactly1', 'exactly2', 'exactly3', 'alternate_precedence', 'alternate_succession', 'alternate_response', 'chain_precedence', 'chain_response', 'chain_succession', 'not_chain_succession', 'not_coexistence', 'not_succession', 'responded_existence', 'response', 'succession', 'precedence'] constraint_support_true = 0 constraint_support_false = 0 filter_t = True train_results = generate_train_candidate_constraints(candidates, templates, self.transformed_log, self.labels, constraint_support_true, constraint_support_false, filter_t=filter_t) expected = {"init:('Low Insurance Check',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Reject Claim',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Accept Claim',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('High Insurance Check',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Low Medical History',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Register',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "init:('Send Questionnaire',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Send Notification by Post',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Create Questionnaire',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Contact Hospital',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Prepare Notification Content',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('High Medical History',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Send Notification by e-mail',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "exist:('Low Insurance Check',)": [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], "exist:('Reject Claim',)": [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], "exist:('Accept Claim',)": [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], "exist:('High Insurance Check',)": [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], "exist:('Low Medical History',)": [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], 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Notification Content', 'High Insurance Check')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Prepare Notification Content', 'Low Medical History')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Prepare Notification Content', 'Register')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Prepare Notification Content', 'Send Questionnaire')": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], "precedence:('Prepare Notification Content', 'Send Notification by Post')": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], "precedence:('Prepare Notification Content', 'Create Questionnaire')": [-1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1], "precedence:('Prepare Notification Content', 'Contact Hospital')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Prepare Notification Content', 'High Medical History')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Prepare Notification Content', 'Send Notification by e-mail')": [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], "precedence:('High Medical History', 'Low Insurance Check')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('High Medical History', 'Reject Claim')": [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, -1, 0, 0, 1], "precedence:('High Medical History', 'Accept Claim')": [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, 1, 0], "precedence:('High Medical History', 'High Insurance Check')": [-1, 0, -1, 0, 0, 1, -1, 0, 0, 1, 0, 1, -1, -1], "precedence:('High Medical History', 'Low Medical History')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('High Medical History', 'Register')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('High Medical History', 'Send Questionnaire')": [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], "precedence:('High Medical History', 'Send Notification by Post')": [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], "precedence:('High Medical History', 'Create Questionnaire')": [-1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, 1, 1], "precedence:('High Medical History', 'Contact Hospital')": [-1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, 1], "precedence:('High Medical History', 'Prepare Notification Content')": [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], "precedence:('High Medical History', 'Send Notification by e-mail')": [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], "precedence:('Send Notification by e-mail', 'Low Insurance Check')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Send Notification by e-mail', 'Reject Claim')": [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], "precedence:('Send Notification by e-mail', 'Accept Claim')": [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], "precedence:('Send Notification by e-mail', 'High Insurance Check')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Send Notification by e-mail', 'Low Medical History')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Send Notification by e-mail', 'Register')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Send Notification by e-mail', 'Send Questionnaire')": [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], "precedence:('Send Notification by e-mail', 'Send Notification by Post')": [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], "precedence:('Send Notification by e-mail', 'Create Questionnaire')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Send Notification by e-mail', 'Contact Hospital')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Send Notification by e-mail', 'Prepare Notification Content')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Send Notification by e-mail', 'High Medical History')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1]} self.assertEqual(expected, train_results) def test_transform_results_to_numpy(self): train_results = {"init:('Low Insurance Check',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Reject Claim',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Accept Claim',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('High Insurance Check',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Low Medical History',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Register',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "init:('Send Questionnaire',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Send Notification by Post',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Create Questionnaire',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Contact Hospital',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Prepare Notification Content',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('High Medical History',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "init:('Send Notification by e-mail',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "exist:('Low Insurance Check',)": [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], "exist:('Reject Claim',)": [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], "exist:('Accept Claim',)": [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], "exist:('High Insurance Check',)": [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], "exist:('Low Medical History',)": [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], "exist:('Register',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "exist:('Send Questionnaire',)": [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], "exist:('Send Notification by Post',)": [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], "exist:('Create Questionnaire',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "exist:('Contact Hospital',)": [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], "exist:('Prepare Notification Content',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "exist:('High Medical History',)": [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], "exist:('Send Notification by e-mail',)": [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], "absence1:('Low Insurance Check',)": [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], "absence1:('Reject Claim',)": [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], "absence1:('Accept Claim',)": [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], "absence1:('High Insurance Check',)": [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], "absence1:('Low Medical History',)": [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], "absence1:('Register',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "absence1:('Send Questionnaire',)": [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], "absence1:('Send Notification by Post',)": [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], "absence1:('Create Questionnaire',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "absence1:('Contact Hospital',)": [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], "absence1:('Prepare Notification Content',)": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "absence1:('High Medical History',)": [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], "absence1:('Send Notification by e-mail',)": [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], "absence2:('Low Insurance Check',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence2:('Reject Claim',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence2:('Accept Claim',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence2:('High Insurance Check',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence2:('Low Medical History',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence2:('Register',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence2:('Send Questionnaire',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence2:('Send Notification by Post',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence2:('Create Questionnaire',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence2:('Contact Hospital',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence2:('Prepare Notification Content',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence2:('High Medical History',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence2:('Send Notification by e-mail',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence3:('Low Insurance Check',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence3:('Reject Claim',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence3:('Accept Claim',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence3:('High Insurance Check',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence3:('Low Medical History',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence3:('Register',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence3:('Send Questionnaire',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence3:('Send Notification by Post',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence3:('Create Questionnaire',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence3:('Contact Hospital',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence3:('Prepare Notification Content',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence3:('High Medical History',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "absence3:('Send Notification by e-mail',)": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "choice:('Low Insurance Check', 'Reject Claim')": [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], "choice:('Low Insurance Check', 'Accept Claim')": [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], "choice:('Low Insurance Check', 'High Insurance Check')": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "choice:('Low Insurance Check', 'Low Medical History')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "choice:('Low Insurance Check', 'Register')": [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], "choice:('Low Insurance Check', 'Send Questionnaire')": [-1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1], "choice:('Low Insurance Check', 'Send Notification by Post')": [-1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1], "choice:('Low Insurance Check', 'Create Questionnaire')": [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], "choice:('Low Insurance Check', 'Contact Hospital')": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "choice:('Low Insurance Check', 'Prepare Notification Content')": [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], "choice:('Low Insurance Check', 'High Medical History')": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "choice:('Low Insurance Check', 'Send Notification by e-mail')": [-1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1], "choice:('Reject Claim', 'Low Insurance Check')": [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], "choice:('Reject Claim', 'Accept Claim')": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "choice:('Reject Claim', 'High Insurance Check')": [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], "choice:('Reject Claim', 'Low Medical History')": [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], "choice:('Reject Claim', 'Register')": [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], "choice:('Reject Claim', 'Send Questionnaire')": [1, 1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1], "choice:('Reject Claim', 'Send Notification by Post')": [1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1], "choice:('Reject Claim', 'Create Questionnaire')": [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], "choice:('Reject Claim', 'Contact Hospital')": [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], "choice:('Reject Claim', 'Prepare Notification Content')": [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], "choice:('Reject Claim', 'High Medical History')": [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], "choice:('Reject Claim', 'Send Notification by e-mail')": [1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, 1], "choice:('Accept Claim', 'Low Insurance Check')": [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], "choice:('Accept Claim', 'Reject Claim')": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "choice:('Accept Claim', 'High Insurance Check')": [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], "choice:('Accept Claim', 'Low Medical History')": [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], "choice:('Accept Claim', 'Register')": [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], "choice:('Accept Claim', 'Send Questionnaire')": [-1, -1, -1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1], "choice:('Accept Claim', 'Send Notification by Post')": [-1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1], "choice:('Accept Claim', 'Create Questionnaire')": [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], "choice:('Accept Claim', 'Contact Hospital')": [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], "choice:('Accept Claim', 'Prepare Notification Content')": [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], "choice:('Accept 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"precedence:('Accept Claim', 'Low Medical History')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Accept Claim', 'Register')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Accept Claim', 'Send Questionnaire')": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], "precedence:('Accept Claim', 'Send Notification by Post')": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], "precedence:('Accept Claim', 'Create Questionnaire')": [-1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1], "precedence:('Accept Claim', 'Contact Hospital')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Accept Claim', 'Prepare Notification Content')": [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], "precedence:('Accept Claim', 'High Medical History')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Accept Claim', 'Send Notification by e-mail')": [0, 0, 0, 1, 1, 0, 0, -1, 0, 0, 0, 0, 0, 0], "precedence:('High Insurance Check', 'Low Insurance Check')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('High Insurance Check', 'Reject Claim')": [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, -1, 0, 0, 1], "precedence:('High Insurance Check', 'Accept Claim')": [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, 1, 0], "precedence:('High Insurance Check', 'Low Medical History')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('High Insurance Check', 'Register')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('High Insurance Check', 'Send Questionnaire')": [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], "precedence:('High Insurance Check', 'Send Notification by Post')": [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], "precedence:('High Insurance Check', 'Create Questionnaire')": [-1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1], "precedence:('High Insurance Check', 'Contact Hospital')": [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, -1, 1, 1], "precedence:('High Insurance Check', 'Prepare Notification Content')": [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], "precedence:('High Insurance Check', 'High Medical History')": [1, 0, 1, 0, 0, -1, 1, 0, 0, -1, 0, -1, 1, 1], "precedence:('High Insurance Check', 'Send Notification by e-mail')": [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], "precedence:('Low Medical History', 'Low Insurance Check')": [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], "precedence:('Low Medical History', 'Reject Claim')": [-1, 0, -1, 0, 0, -1, -1, 1, 0, 0, 1, 0, 0, -1], "precedence:('Low Medical History', 'Accept Claim')": [0, 1, 0, 1, 1, 0, 0, 0, 1, -1, 0, -1, -1, 0], "precedence:('Low Medical History', 'High Insurance Check')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Low Medical History', 'Register')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Low Medical History', 'Send Questionnaire')": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], "precedence:('Low Medical History', 'Send Notification by Post')": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], "precedence:('Low Medical History', 'Create Questionnaire')": [-1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1], "precedence:('Low Medical History', 'Contact Hospital')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Low Medical History', 'Prepare Notification Content')": [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], "precedence:('Low Medical History', 'High Medical History')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Low Medical History', 'Send Notification by e-mail')": [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], "precedence:('Register', 'Low Insurance Check')": [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], "precedence:('Register', 'Reject Claim')": [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], "precedence:('Register', 'Accept Claim')": [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], "precedence:('Register', 'High Insurance Check')": [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], "precedence:('Register', 'Low Medical History')": [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], "precedence:('Register', 'Send Questionnaire')": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], "precedence:('Register', 'Send Notification by Post')": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], "precedence:('Register', 'Create Questionnaire')": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "precedence:('Register', 'Contact Hospital')": [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], "precedence:('Register', 'Prepare Notification Content')": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "precedence:('Register', 'High Medical History')": [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], "precedence:('Register', 'Send Notification by e-mail')": [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], "precedence:('Send Questionnaire', 'Low Insurance Check')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Send Questionnaire', 'Reject Claim')": [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], "precedence:('Send Questionnaire', 'Accept Claim')": [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], "precedence:('Send Questionnaire', 'High Insurance Check')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Send Questionnaire', 'Low Medical History')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Send Questionnaire', 'Register')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Send Questionnaire', 'Send Notification by Post')": [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], "precedence:('Send Questionnaire', 'Create Questionnaire')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Send Questionnaire', 'Contact Hospital')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Send Questionnaire', 'Prepare Notification Content')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Send Questionnaire', 'High Medical History')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Send Questionnaire', 'Send Notification by e-mail')": [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], "precedence:('Send Notification by Post', 'Low Insurance Check')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Send Notification by Post', 'Reject Claim')": [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], "precedence:('Send Notification by Post', 'Accept Claim')": [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], "precedence:('Send Notification by Post', 'High Insurance Check')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Send Notification by Post', 'Low Medical History')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Send Notification by Post', 'Register')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Send Notification by Post', 'Send Questionnaire')": [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], "precedence:('Send Notification by Post', 'Create Questionnaire')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Send Notification by Post', 'Contact Hospital')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Send Notification by Post', 'Prepare Notification Content')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Send Notification by Post', 'High Medical History')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Send Notification by Post', 'Send Notification by e-mail')": [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], "precedence:('Create Questionnaire', 'Low Insurance Check')": [0, 1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], "precedence:('Create Questionnaire', 'Reject Claim')": [1, 0, 1, 0, 0, -1, 1, 1, 0, 0, 1, 0, 0, -1], "precedence:('Create Questionnaire', 'Accept Claim')": [0, 1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, -1, 0], "precedence:('Create Questionnaire', 'High Insurance Check')": [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, -1, -1], "precedence:('Create Questionnaire', 'Low Medical History')": [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], "precedence:('Create Questionnaire', 'Register')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Create Questionnaire', 'Send Questionnaire')": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], "precedence:('Create Questionnaire', 'Send Notification by Post')": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], "precedence:('Create Questionnaire', 'Contact Hospital')": [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, -1, -1], "precedence:('Create Questionnaire', 'Prepare Notification Content')": [1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1], "precedence:('Create Questionnaire', 'High Medical History')": [1, 0, 1, 0, 0, -1, 1, 0, 0, 1, 0, 1, -1, -1], "precedence:('Create Questionnaire', 'Send Notification by e-mail')": [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], "precedence:('Contact Hospital', 'Low Insurance Check')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Contact Hospital', 'Reject Claim')": [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, -1, 0, 0, 1], "precedence:('Contact Hospital', 'Accept Claim')": [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, 1, 0], "precedence:('Contact Hospital', 'High Insurance Check')": [-1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, 1, -1, -1], "precedence:('Contact Hospital', 'Low Medical History')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Contact Hospital', 'Register')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Contact Hospital', 'Send Questionnaire')": [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], "precedence:('Contact Hospital', 'Send Notification by Post')": [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], "precedence:('Contact Hospital', 'Create Questionnaire')": [-1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1], "precedence:('Contact Hospital', 'Prepare Notification Content')": [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], "precedence:('Contact Hospital', 'High Medical History')": [1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Contact Hospital', 'Send Notification by e-mail')": [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], "precedence:('Prepare Notification Content', 'Low Insurance Check')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Prepare Notification Content', 'Reject Claim')": [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], "precedence:('Prepare Notification Content', 'Accept Claim')": [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], "precedence:('Prepare Notification Content', 'High Insurance Check')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Prepare Notification Content', 'Low Medical History')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Prepare Notification Content', 'Register')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Prepare Notification Content', 'Send Questionnaire')": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], "precedence:('Prepare Notification Content', 'Send Notification by Post')": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], "precedence:('Prepare Notification Content', 'Create Questionnaire')": [-1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1], "precedence:('Prepare Notification Content', 'Contact Hospital')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Prepare Notification Content', 'High Medical History')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Prepare Notification Content', 'Send Notification by e-mail')": [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], "precedence:('High Medical History', 'Low Insurance Check')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('High Medical History', 'Reject Claim')": [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, -1, 0, 0, 1], "precedence:('High Medical History', 'Accept Claim')": [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, 1, 0], "precedence:('High Medical History', 'High Insurance Check')": [-1, 0, -1, 0, 0, 1, -1, 0, 0, 1, 0, 1, -1, -1], "precedence:('High Medical History', 'Low Medical History')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('High Medical History', 'Register')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('High Medical History', 'Send Questionnaire')": [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], "precedence:('High Medical History', 'Send Notification by Post')": [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], "precedence:('High Medical History', 'Create Questionnaire')": [-1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, 1, 1], "precedence:('High Medical History', 'Contact Hospital')": [-1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, 1], "precedence:('High Medical History', 'Prepare Notification Content')": [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], "precedence:('High Medical History', 'Send Notification by e-mail')": [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], "precedence:('Send Notification by e-mail', 'Low Insurance Check')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Send Notification by e-mail', 'Reject Claim')": [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], "precedence:('Send Notification by e-mail', 'Accept Claim')": [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], "precedence:('Send Notification by e-mail', 'High Insurance Check')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Send Notification by e-mail', 'Low Medical History')": [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], "precedence:('Send Notification by e-mail', 'Register')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Send Notification by e-mail', 'Send Questionnaire')": [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], "precedence:('Send Notification by e-mail', 'Send Notification by Post')": [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], "precedence:('Send Notification by e-mail', 'Create Questionnaire')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Send Notification by e-mail', 'Contact Hospital')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], "precedence:('Send Notification by e-mail', 'Prepare Notification Content')": [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], "precedence:('Send Notification by e-mail', 'High Medical History')": [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1]} cols = None data, labels, featurenames, train_names = transform_results_to_numpy(train_results, self.labels, self.transformed_log, cols) # expected_data = # expected_labels = expected_featurenames = ["init:('Low Insurance Check',)", "init:('Reject Claim',)", "init:('Accept Claim',)", "init:('High Insurance Check',)", "init:('Low Medical History',)", "init:('Register',)", "init:('Send Questionnaire',)", "init:('Send Notification by Post',)", "init:('Create Questionnaire',)", "init:('Contact Hospital',)", "init:('Prepare Notification Content',)", "init:('High Medical History',)", "init:('Send Notification by e-mail',)", "exist:('Low Insurance Check',)", 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Insurance Check',)", "absence2:('Low Medical History',)", "absence2:('Register',)", "absence2:('Send Questionnaire',)", "absence2:('Send Notification by Post',)", "absence2:('Create Questionnaire',)", "absence2:('Contact Hospital',)", "absence2:('Prepare Notification Content',)", "absence2:('High Medical History',)", "absence2:('Send Notification by e-mail',)", "absence3:('Low Insurance Check',)", "absence3:('Reject Claim',)", "absence3:('Accept Claim',)", "absence3:('High Insurance Check',)", "absence3:('Low Medical History',)", "absence3:('Register',)", "absence3:('Send Questionnaire',)", "absence3:('Send Notification by Post',)", "absence3:('Create Questionnaire',)", "absence3:('Contact Hospital',)", "absence3:('Prepare Notification Content',)", "absence3:('High Medical History',)", "absence3:('Send Notification by e-mail',)", "choice:('Low Insurance Check', 'Reject Claim')", "choice:('Low Insurance Check', 'Accept Claim')", "choice:('Low Insurance Check', 'High Insurance Check')", 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History', 'Register')", "precedence:('Low Medical History', 'Send Questionnaire')", "precedence:('Low Medical History', 'Send Notification by Post')", "precedence:('Low Medical History', 'Create Questionnaire')", "precedence:('Low Medical History', 'Contact Hospital')", "precedence:('Low Medical History', 'Prepare Notification Content')", "precedence:('Low Medical History', 'High Medical History')", "precedence:('Low Medical History', 'Send Notification by e-mail')", "precedence:('Register', 'Low Insurance Check')", "precedence:('Register', 'Reject Claim')", "precedence:('Register', 'Accept Claim')", "precedence:('Register', 'High Insurance Check')", "precedence:('Register', 'Low Medical History')", "precedence:('Register', 'Send Questionnaire')", "precedence:('Register', 'Send Notification by Post')", "precedence:('Register', 'Create Questionnaire')", "precedence:('Register', 'Contact Hospital')", "precedence:('Register', 'Prepare Notification Content')", "precedence:('Register', 'High Medical History')", "precedence:('Register', 'Send Notification by e-mail')", "precedence:('Send Questionnaire', 'Low Insurance Check')", "precedence:('Send Questionnaire', 'Reject Claim')", "precedence:('Send Questionnaire', 'Accept Claim')", "precedence:('Send Questionnaire', 'High Insurance Check')", "precedence:('Send Questionnaire', 'Low Medical History')", "precedence:('Send Questionnaire', 'Register')", "precedence:('Send Questionnaire', 'Send Notification by Post')", "precedence:('Send Questionnaire', 'Create Questionnaire')", "precedence:('Send Questionnaire', 'Contact Hospital')", "precedence:('Send Questionnaire', 'Prepare Notification Content')", "precedence:('Send Questionnaire', 'High Medical History')", "precedence:('Send Questionnaire', 'Send Notification by e-mail')", "precedence:('Send Notification by Post', 'Low Insurance Check')", "precedence:('Send Notification by Post', 'Reject Claim')", "precedence:('Send Notification by Post', 'Accept Claim')", "precedence:('Send Notification by Post', 'High Insurance Check')", "precedence:('Send Notification by Post', 'Low Medical History')", "precedence:('Send Notification by Post', 'Register')", "precedence:('Send Notification by Post', 'Send Questionnaire')", "precedence:('Send Notification by Post', 'Create Questionnaire')", "precedence:('Send Notification by Post', 'Contact Hospital')", "precedence:('Send Notification by Post', 'Prepare Notification Content')", "precedence:('Send Notification by Post', 'High Medical History')", "precedence:('Send Notification by Post', 'Send Notification by e-mail')", "precedence:('Create Questionnaire', 'Low Insurance Check')", "precedence:('Create Questionnaire', 'Reject Claim')", "precedence:('Create Questionnaire', 'Accept Claim')", "precedence:('Create Questionnaire', 'High Insurance Check')", "precedence:('Create Questionnaire', 'Low Medical History')", "precedence:('Create Questionnaire', 'Register')", "precedence:('Create Questionnaire', 'Send Questionnaire')", "precedence:('Create Questionnaire', 'Send Notification by Post')", "precedence:('Create Questionnaire', 'Contact Hospital')", "precedence:('Create Questionnaire', 'Prepare Notification Content')", "precedence:('Create Questionnaire', 'High Medical History')", "precedence:('Create Questionnaire', 'Send Notification by e-mail')", "precedence:('Contact Hospital', 'Low Insurance Check')", "precedence:('Contact Hospital', 'Reject Claim')", "precedence:('Contact Hospital', 'Accept Claim')", "precedence:('Contact Hospital', 'High Insurance Check')", "precedence:('Contact Hospital', 'Low Medical History')", "precedence:('Contact Hospital', 'Register')", "precedence:('Contact Hospital', 'Send Questionnaire')", "precedence:('Contact Hospital', 'Send Notification by Post')", "precedence:('Contact Hospital', 'Create Questionnaire')", "precedence:('Contact Hospital', 'Prepare Notification Content')", "precedence:('Contact Hospital', 'High Medical History')", "precedence:('Contact Hospital', 'Send Notification by e-mail')", "precedence:('Prepare Notification Content', 'Low Insurance Check')", "precedence:('Prepare Notification Content', 'Reject Claim')", "precedence:('Prepare Notification Content', 'Accept Claim')", "precedence:('Prepare Notification Content', 'High Insurance Check')", "precedence:('Prepare Notification Content', 'Low Medical History')", "precedence:('Prepare Notification Content', 'Register')", "precedence:('Prepare Notification Content', 'Send Questionnaire')", "precedence:('Prepare Notification Content', 'Send Notification by Post')", "precedence:('Prepare Notification Content', 'Create Questionnaire')", "precedence:('Prepare Notification Content', 'Contact Hospital')", "precedence:('Prepare Notification Content', 'High Medical History')", "precedence:('Prepare Notification Content', 'Send Notification by e-mail')", "precedence:('High Medical History', 'Low Insurance Check')", "precedence:('High Medical History', 'Reject Claim')", "precedence:('High Medical History', 'Accept Claim')", "precedence:('High Medical History', 'High Insurance Check')", "precedence:('High Medical History', 'Low Medical History')", "precedence:('High Medical History', 'Register')", "precedence:('High Medical History', 'Send Questionnaire')", "precedence:('High Medical History', 'Send Notification by Post')", "precedence:('High Medical History', 'Create Questionnaire')", "precedence:('High Medical History', 'Contact Hospital')", "precedence:('High Medical History', 'Prepare Notification Content')", "precedence:('High Medical History', 'Send Notification by e-mail')", "precedence:('Send Notification by e-mail', 'Low Insurance Check')", "precedence:('Send Notification by e-mail', 'Reject Claim')", "precedence:('Send Notification by e-mail', 'Accept Claim')", "precedence:('Send Notification by e-mail', 'High Insurance Check')", "precedence:('Send Notification by e-mail', 'Low Medical History')", "precedence:('Send Notification by e-mail', 'Register')", "precedence:('Send Notification by e-mail', 'Send Questionnaire')", "precedence:('Send Notification by e-mail', 'Send Notification by Post')", "precedence:('Send Notification by e-mail', 'Create Questionnaire')", "precedence:('Send Notification by e-mail', 'Contact Hospital')", "precedence:('Send Notification by e-mail', 'Prepare Notification Content')", "precedence:('Send Notification by e-mail', 'High Medical History')"] # expected_train_names = # self.assertEqual(expected_data, data) # self.assertEqual(expected_labels, labels) self.assertEqual(expected_featurenames, featurenames) # self.assertEqual(expected_train_names, train_names) def test_filter_candidates_by_support(self): not_filtered_candidates = [('Send Notification by e-mail',), ('Send Notification by Post',), ('Send Questionnaire',), ('High Medical History',), ('Prepare Notification Content',), ('Register',), ('Low Insurance Check',), ('Reject Claim',), ('Low Medical History',), ('Contact Hospital',), ('High Insurance Check',), ('Accept Claim',), ('Create Questionnaire',), ('Send Notification by e-mail', 'Send Notification by Post'), ('Send Notification by e-mail', 'Send Questionnaire'), ('Send Notification by e-mail', 'High Medical History'), ('Send Notification by e-mail', 'Prepare Notification Content'), ('Send Notification by e-mail', 'Register'), ('Send Notification by e-mail', 'Low Insurance Check'), ('Send Notification by e-mail', 'Reject Claim'), ('Send Notification by e-mail', 'Low Medical History'), ('Send Notification by e-mail', 'Contact Hospital'), ('Send Notification by e-mail', 'High Insurance Check'), ('Send Notification by e-mail', 'Accept Claim'), ('Send Notification by e-mail', 'Create Questionnaire'), ('Send Notification by Post', 'Send Notification by e-mail'), ('Send Notification by Post', 'Send Questionnaire'), ('Send Notification by Post', 'High Medical History'), ('Send Notification by Post', 'Prepare Notification Content'), ('Send Notification by Post', 'Register'), ('Send Notification by Post', 'Low Insurance Check'), ('Send Notification by Post', 'Reject Claim'), ('Send Notification by Post', 'Low Medical History'), ('Send Notification by Post', 'Contact Hospital'), ('Send Notification by Post', 'High Insurance Check'), ('Send Notification by Post', 'Accept Claim'), ('Send Notification by Post', 'Create Questionnaire'), ('Send Questionnaire', 'Send Notification by e-mail'), ('Send Questionnaire', 'Send Notification by Post'), ('Send Questionnaire', 'High Medical History'), ('Send Questionnaire', 'Prepare Notification Content'), ('Send Questionnaire', 'Register'), ('Send Questionnaire', 'Low Insurance Check'), ('Send Questionnaire', 'Reject Claim'), ('Send Questionnaire', 'Low Medical History'), ('Send Questionnaire', 'Contact Hospital'), ('Send Questionnaire', 'High Insurance Check'), ('Send Questionnaire', 'Accept Claim'), ('Send Questionnaire', 'Create Questionnaire'), ('High Medical History', 'Send Notification by e-mail'), ('High Medical History', 'Send Notification by Post'), ('High Medical History', 'Send Questionnaire'), ('High Medical History', 'Prepare Notification Content'), ('High Medical History', 'Register'), ('High Medical History', 'Low Insurance Check'), ('High Medical History', 'Reject Claim'), ('High Medical History', 'Low Medical History'), ('High Medical History', 'Contact Hospital'), ('High Medical History', 'High Insurance Check'), ('High Medical History', 'Accept Claim'), ('High Medical History', 'Create Questionnaire'), ('Prepare Notification Content', 'Send Notification by e-mail'), ('Prepare Notification Content', 'Send Notification by Post'), ('Prepare Notification Content', 'Send Questionnaire'), ('Prepare Notification Content', 'High Medical History'), ('Prepare Notification Content', 'Register'), ('Prepare Notification Content', 'Low Insurance Check'), ('Prepare Notification Content', 'Reject Claim'), ('Prepare Notification Content', 'Low Medical History'), ('Prepare Notification Content', 'Contact Hospital'), ('Prepare Notification Content', 'High Insurance Check'), ('Prepare Notification Content', 'Accept Claim'), ('Prepare Notification Content', 'Create Questionnaire'), ('Register', 'Send Notification by e-mail'), ('Register', 'Send Notification by Post'), ('Register', 'Send Questionnaire'), ('Register', 'High Medical History'), ('Register', 'Prepare Notification Content'), ('Register', 'Low Insurance Check'), ('Register', 'Reject Claim'), ('Register', 'Low Medical History'), ('Register', 'Contact Hospital'), ('Register', 'High Insurance Check'), ('Register', 'Accept Claim'), ('Register', 'Create Questionnaire'), ('Low Insurance Check', 'Send Notification by e-mail'), ('Low Insurance Check', 'Send Notification by Post'), ('Low Insurance Check', 'Send Questionnaire'), ('Low Insurance Check', 'High Medical History'), ('Low Insurance Check', 'Prepare Notification Content'), ('Low Insurance Check', 'Register'), ('Low Insurance Check', 'Reject Claim'), ('Low Insurance Check', 'Low Medical History'), ('Low Insurance Check', 'Contact Hospital'), ('Low Insurance Check', 'High Insurance Check'), ('Low Insurance Check', 'Accept Claim'), ('Low Insurance Check', 'Create Questionnaire'), ('Reject Claim', 'Send Notification by e-mail'), ('Reject Claim', 'Send Notification by Post'), ('Reject Claim', 'Send Questionnaire'), ('Reject Claim', 'High Medical History'), ('Reject Claim', 'Prepare Notification Content'), ('Reject Claim', 'Register'), ('Reject Claim', 'Low Insurance Check'), ('Reject Claim', 'Low Medical History'), ('Reject Claim', 'Contact Hospital'), ('Reject Claim', 'High Insurance Check'), ('Reject Claim', 'Accept Claim'), ('Reject Claim', 'Create Questionnaire'), ('Low Medical History', 'Send Notification by e-mail'), ('Low Medical History', 'Send Notification by Post'), ('Low Medical History', 'Send Questionnaire'), ('Low Medical History', 'High Medical History'), ('Low Medical History', 'Prepare Notification Content'), ('Low Medical History', 'Register'), ('Low Medical History', 'Low Insurance Check'), ('Low Medical History', 'Reject Claim'), ('Low Medical History', 'Contact Hospital'), ('Low Medical History', 'High Insurance Check'), ('Low Medical History', 'Accept Claim'), ('Low Medical History', 'Create Questionnaire'), ('Contact Hospital', 'Send Notification by e-mail'), ('Contact Hospital', 'Send Notification by Post'), ('Contact Hospital', 'Send Questionnaire'), ('Contact Hospital', 'High Medical History'), ('Contact Hospital', 'Prepare Notification Content'), ('Contact Hospital', 'Register'), ('Contact Hospital', 'Low Insurance Check'), ('Contact Hospital', 'Reject Claim'), ('Contact Hospital', 'Low Medical History'), ('Contact Hospital', 'High Insurance Check'), ('Contact Hospital', 'Accept Claim'), ('Contact Hospital', 'Create Questionnaire'), ('High Insurance Check', 'Send Notification by e-mail'), ('High Insurance Check', 'Send Notification by Post'), ('High Insurance Check', 'Send Questionnaire'), ('High Insurance Check', 'High Medical History'), ('High Insurance Check', 'Prepare Notification Content'), ('High Insurance Check', 'Register'), ('High Insurance Check', 'Low Insurance Check'), ('High Insurance Check', 'Reject Claim'), ('High Insurance Check', 'Low Medical History'), ('High Insurance Check', 'Contact Hospital'), ('High Insurance Check', 'Accept Claim'), ('High Insurance Check', 'Create Questionnaire'), ('Accept Claim', 'Send Notification by e-mail'), ('Accept Claim', 'Send Notification by Post'), ('Accept Claim', 'Send Questionnaire'), ('Accept Claim', 'High Medical History'), ('Accept Claim', 'Prepare Notification Content'), ('Accept Claim', 'Register'), ('Accept Claim', 'Low Insurance Check'), ('Accept Claim', 'Reject Claim'), ('Accept Claim', 'Low Medical History'), ('Accept Claim', 'Contact Hospital'), ('Accept Claim', 'High Insurance Check'), ('Accept Claim', 'Create Questionnaire'), ('Create Questionnaire', 'Send Notification by e-mail'), ('Create Questionnaire', 'Send Notification by Post'), ('Create Questionnaire', 'Send Questionnaire'), ('Create Questionnaire', 'High Medical History'), ('Create Questionnaire', 'Prepare Notification Content'), ('Create Questionnaire', 'Register'), ('Create Questionnaire', 'Low Insurance Check'), ('Create Questionnaire', 'Reject Claim'), ('Create Questionnaire', 'Low Medical History'), ('Create Questionnaire', 'Contact Hospital'), ('Create Questionnaire', 'High Insurance Check'), ('Create Questionnaire', 'Accept Claim')] ev_support_true = 0 ev_support_false = 0 filtered_candidates = filter_candidates_by_support(not_filtered_candidates, self.transformed_log, self.labels, ev_support_true, ev_support_false) expected = [('Send Notification by e-mail',), ('Send Notification by Post',), ('Send Questionnaire',), ('High Medical History',), ('Prepare Notification Content',), ('Register',), ('Low Insurance Check',), ('Reject Claim',), ('Low Medical History',), ('Contact Hospital',), ('High Insurance Check',), ('Accept Claim',), ('Create Questionnaire',), ('Send Notification by e-mail', 'Send Notification by Post'), ('Send Notification by e-mail', 'Send Questionnaire'), ('Send Notification by e-mail', 'High Medical History'), ('Send Notification by e-mail', 'Prepare Notification Content'), ('Send Notification by e-mail', 'Register'), ('Send Notification by e-mail', 'Low Insurance Check'), ('Send Notification by e-mail', 'Reject Claim'), ('Send Notification by e-mail', 'Low Medical History'), ('Send Notification by e-mail', 'Contact Hospital'), ('Send Notification by e-mail', 'High Insurance Check'), ('Send Notification by e-mail', 'Accept Claim'), ('Send Notification by e-mail', 'Create Questionnaire'), ('Send Notification by Post', 'Send Notification by e-mail'), ('Send Notification by Post', 'Send Questionnaire'), ('Send Notification by Post', 'High Medical History'), ('Send Notification by Post', 'Prepare Notification Content'), ('Send Notification by Post', 'Register'), ('Send Notification by Post', 'Low Insurance Check'), ('Send Notification by Post', 'Reject Claim'), ('Send Notification by Post', 'Low Medical History'), ('Send Notification by Post', 'Contact Hospital'), ('Send Notification by Post', 'High Insurance Check'), ('Send Notification by Post', 'Accept Claim'), ('Send Notification by Post', 'Create Questionnaire'), ('Send Questionnaire', 'Send Notification by e-mail'), ('Send Questionnaire', 'Send Notification by Post'), ('Send Questionnaire', 'High Medical History'), ('Send Questionnaire', 'Prepare Notification Content'), ('Send Questionnaire', 'Register'), ('Send Questionnaire', 'Low Insurance Check'), ('Send Questionnaire', 'Reject Claim'), ('Send Questionnaire', 'Low Medical History'), ('Send Questionnaire', 'Contact Hospital'), ('Send Questionnaire', 'High Insurance Check'), ('Send Questionnaire', 'Accept Claim'), ('Send Questionnaire', 'Create Questionnaire'), ('High Medical History', 'Send Notification by e-mail'), ('High Medical History', 'Send Notification by Post'), ('High Medical History', 'Send Questionnaire'), ('High Medical History', 'Prepare Notification Content'), ('High Medical History', 'Register'), ('High Medical History', 'Low Insurance Check'), ('High Medical History', 'Reject Claim'), ('High Medical History', 'Low Medical History'), ('High Medical History', 'Contact Hospital'), ('High Medical History', 'High Insurance Check'), ('High Medical History', 'Accept Claim'), ('High Medical History', 'Create Questionnaire'), ('Prepare Notification Content', 'Send Notification by e-mail'), ('Prepare Notification Content', 'Send Notification by Post'), ('Prepare Notification Content', 'Send Questionnaire'), ('Prepare Notification Content', 'High Medical History'), ('Prepare Notification Content', 'Register'), ('Prepare Notification Content', 'Low Insurance Check'), ('Prepare Notification Content', 'Reject Claim'), ('Prepare Notification Content', 'Low Medical History'), ('Prepare Notification Content', 'Contact Hospital'), ('Prepare Notification Content', 'High Insurance Check'), ('Prepare Notification Content', 'Accept Claim'), ('Prepare Notification Content', 'Create Questionnaire'), ('Register', 'Send Notification by e-mail'), ('Register', 'Send Notification by Post'), ('Register', 'Send Questionnaire'), ('Register', 'High Medical History'), ('Register', 'Prepare Notification Content'), ('Register', 'Low Insurance Check'), ('Register', 'Reject Claim'), ('Register', 'Low Medical History'), ('Register', 'Contact Hospital'), ('Register', 'High Insurance Check'), ('Register', 'Accept Claim'), ('Register', 'Create Questionnaire'), ('Low Insurance Check', 'Send Notification by e-mail'), ('Low Insurance Check', 'Send Notification by Post'), ('Low Insurance Check', 'Send Questionnaire'), ('Low Insurance Check', 'High Medical History'), ('Low Insurance Check', 'Prepare Notification Content'), ('Low Insurance Check', 'Register'), ('Low Insurance Check', 'Reject Claim'), ('Low Insurance Check', 'Low Medical History'), ('Low Insurance Check', 'Contact Hospital'), ('Low Insurance Check', 'High Insurance Check'), ('Low Insurance Check', 'Accept Claim'), ('Low Insurance Check', 'Create Questionnaire'), ('Reject Claim', 'Send Notification by e-mail'), ('Reject Claim', 'Send Notification by Post'), ('Reject Claim', 'Send Questionnaire'), ('Reject Claim', 'High Medical History'), ('Reject Claim', 'Prepare Notification Content'), ('Reject Claim', 'Register'), ('Reject Claim', 'Low Insurance Check'), ('Reject Claim', 'Low Medical History'), ('Reject Claim', 'Contact Hospital'), ('Reject Claim', 'High Insurance Check'), ('Reject Claim', 'Accept Claim'), ('Reject Claim', 'Create Questionnaire'), ('Low Medical History', 'Send Notification by e-mail'), ('Low Medical History', 'Send Notification by Post'), ('Low Medical History', 'Send Questionnaire'), ('Low Medical History', 'High Medical History'), ('Low Medical History', 'Prepare Notification Content'), ('Low Medical History', 'Register'), ('Low Medical History', 'Low Insurance Check'), ('Low Medical History', 'Reject Claim'), ('Low Medical History', 'Contact Hospital'), ('Low Medical History', 'High Insurance Check'), ('Low Medical History', 'Accept Claim'), ('Low Medical History', 'Create Questionnaire'), ('Contact Hospital', 'Send Notification by e-mail'), ('Contact Hospital', 'Send Notification by Post'), ('Contact Hospital', 'Send Questionnaire'), ('Contact Hospital', 'High Medical History'), ('Contact Hospital', 'Prepare Notification Content'), ('Contact Hospital', 'Register'), ('Contact Hospital', 'Low Insurance Check'), ('Contact Hospital', 'Reject Claim'), ('Contact Hospital', 'Low Medical History'), ('Contact Hospital', 'High Insurance Check'), ('Contact Hospital', 'Accept Claim'), ('Contact Hospital', 'Create Questionnaire'), ('High Insurance Check', 'Send Notification by e-mail'), ('High Insurance Check', 'Send Notification by Post'), ('High Insurance Check', 'Send Questionnaire'), ('High Insurance Check', 'High Medical History'), ('High Insurance Check', 'Prepare Notification Content'), ('High Insurance Check', 'Register'), ('High Insurance Check', 'Low Insurance Check'), ('High Insurance Check', 'Reject Claim'), ('High Insurance Check', 'Low Medical History'), ('High Insurance Check', 'Contact Hospital'), ('High Insurance Check', 'Accept Claim'), ('High Insurance Check', 'Create Questionnaire'), ('Accept Claim', 'Send Notification by e-mail'), ('Accept Claim', 'Send Notification by Post'), ('Accept Claim', 'Send Questionnaire'), ('Accept Claim', 'High Medical History'), ('Accept Claim', 'Prepare Notification Content'), ('Accept Claim', 'Register'), ('Accept Claim', 'Low Insurance Check'), ('Accept Claim', 'Reject Claim'), ('Accept Claim', 'Low Medical History'), ('Accept Claim', 'Contact Hospital'), ('Accept Claim', 'High Insurance Check'), ('Accept Claim', 'Create Questionnaire'), ('Create Questionnaire', 'Send Notification by e-mail'), ('Create Questionnaire', 'Send Notification by Post'), ('Create Questionnaire', 'Send Questionnaire'), ('Create Questionnaire', 'High Medical History'), ('Create Questionnaire', 'Prepare Notification Content'), ('Create Questionnaire', 'Register'), ('Create Questionnaire', 'Low Insurance Check'), ('Create Questionnaire', 'Reject Claim'), ('Create Questionnaire', 'Low Medical History'), ('Create Questionnaire', 'Contact Hospital'), ('Create Questionnaire', 'High Insurance Check'), ('Create Questionnaire', 'Accept Claim')] self.assertEqual(expected, filtered_candidates) class TestApplyTemplate(TestCase): def setUp(self): self.candidates = [('Send Notification by e-mail',), ('Send Notification by Post',), ('Send Questionnaire',), ('High Medical History',), ('Prepare Notification Content',), ('Register',), ('Low Insurance Check',), ('Reject Claim',), ('Low Medical History',), ('Contact Hospital',), ('High Insurance Check',), ('Accept Claim',), ('Create Questionnaire',), ('Send Notification by e-mail', 'Send Notification by Post'), ('Send Notification by e-mail', 'Send Questionnaire'), ('Send Notification by e-mail', 'High Medical History'), ('Send Notification by e-mail', 'Prepare Notification Content'), ('Send Notification by e-mail', 'Register'), ('Send Notification by e-mail', 'Low Insurance Check'), ('Send Notification by e-mail', 'Reject Claim'), ('Send Notification by e-mail', 'Low Medical History'), ('Send Notification by e-mail', 'Contact Hospital'), ('Send Notification by e-mail', 'High Insurance Check'), ('Send Notification by e-mail', 'Accept Claim'), ('Send Notification by e-mail', 'Create Questionnaire'), ('Send Notification by Post', 'Send Notification by e-mail'), ('Send Notification by Post', 'Send Questionnaire'), ('Send Notification by Post', 'High Medical History'), ('Send Notification by Post', 'Prepare Notification Content'), ('Send Notification by Post', 'Register'), ('Send Notification by Post', 'Low Insurance Check'), ('Send Notification by Post', 'Reject Claim'), ('Send Notification by Post', 'Low Medical History'), ('Send Notification by Post', 'Contact Hospital'), ('Send Notification by Post', 'High Insurance Check'), ('Send Notification by Post', 'Accept Claim'), ('Send Notification by Post', 'Create Questionnaire'), ('Send Questionnaire', 'Send Notification by e-mail'), ('Send Questionnaire', 'Send Notification by Post'), ('Send Questionnaire', 'High Medical History'), ('Send Questionnaire', 'Prepare Notification Content'), ('Send Questionnaire', 'Register'), ('Send Questionnaire', 'Low Insurance Check'), ('Send Questionnaire', 'Reject Claim'), ('Send Questionnaire', 'Low Medical History'), ('Send Questionnaire', 'Contact Hospital'), ('Send Questionnaire', 'High Insurance Check'), ('Send Questionnaire', 'Accept Claim'), ('Send Questionnaire', 'Create Questionnaire'), ('High Medical History', 'Send Notification by e-mail'), ('High Medical History', 'Send Notification by Post'), ('High Medical History', 'Send Questionnaire'), ('High Medical History', 'Prepare Notification Content'), ('High Medical History', 'Register'), ('High Medical History', 'Low Insurance Check'), ('High Medical History', 'Reject Claim'), ('High Medical History', 'Low Medical History'), ('High Medical History', 'Contact Hospital'), ('High Medical History', 'High Insurance Check'), ('High Medical History', 'Accept Claim'), ('High Medical History', 'Create Questionnaire'), ('Prepare Notification Content', 'Send Notification by e-mail'), ('Prepare Notification Content', 'Send Notification by Post'), ('Prepare Notification Content', 'Send Questionnaire'), ('Prepare Notification Content', 'High Medical History'), ('Prepare Notification Content', 'Register'), ('Prepare Notification Content', 'Low Insurance Check'), ('Prepare Notification Content', 'Reject Claim'), ('Prepare Notification Content', 'Low Medical History'), ('Prepare Notification Content', 'Contact Hospital'), ('Prepare Notification Content', 'High Insurance Check'), ('Prepare Notification Content', 'Accept Claim'), ('Prepare Notification Content', 'Create Questionnaire'), ('Register', 'Send Notification by e-mail'), ('Register', 'Send Notification by Post'), ('Register', 'Send Questionnaire'), ('Register', 'High Medical History'), ('Register', 'Prepare Notification Content'), ('Register', 'Low Insurance Check'), ('Register', 'Reject Claim'), ('Register', 'Low Medical History'), ('Register', 'Contact Hospital'), ('Register', 'High Insurance Check'), ('Register', 'Accept Claim'), ('Register', 'Create Questionnaire'), ('Low Insurance Check', 'Send Notification by e-mail'), ('Low Insurance Check', 'Send Notification by Post'), ('Low Insurance Check', 'Send Questionnaire'), ('Low Insurance Check', 'High Medical History'), ('Low Insurance Check', 'Prepare Notification Content'), ('Low Insurance Check', 'Register'), ('Low Insurance Check', 'Reject Claim'), ('Low Insurance Check', 'Low Medical History'), ('Low Insurance Check', 'Contact Hospital'), ('Low Insurance Check', 'High Insurance Check'), ('Low Insurance Check', 'Accept Claim'), ('Low Insurance Check', 'Create Questionnaire'), ('Reject Claim', 'Send Notification by e-mail'), ('Reject Claim', 'Send Notification by Post'), ('Reject Claim', 'Send Questionnaire'), ('Reject Claim', 'High Medical History'), ('Reject Claim', 'Prepare Notification Content'), ('Reject Claim', 'Register'), ('Reject Claim', 'Low Insurance Check'), ('Reject Claim', 'Low Medical History'), ('Reject Claim', 'Contact Hospital'), ('Reject Claim', 'High Insurance Check'), ('Reject Claim', 'Accept Claim'), ('Reject Claim', 'Create Questionnaire'), ('Low Medical History', 'Send Notification by e-mail'), ('Low Medical History', 'Send Notification by Post'), ('Low Medical History', 'Send Questionnaire'), ('Low Medical History', 'High Medical History'), ('Low Medical History', 'Prepare Notification Content'), ('Low Medical History', 'Register'), ('Low Medical History', 'Low Insurance Check'), ('Low Medical History', 'Reject Claim'), ('Low Medical History', 'Contact Hospital'), ('Low Medical History', 'High Insurance Check'), ('Low Medical History', 'Accept Claim'), ('Low Medical History', 'Create Questionnaire'), ('Contact Hospital', 'Send Notification by e-mail'), ('Contact Hospital', 'Send Notification by Post'), ('Contact Hospital', 'Send Questionnaire'), ('Contact Hospital', 'High Medical History'), ('Contact Hospital', 'Prepare Notification Content'), ('Contact Hospital', 'Register'), ('Contact Hospital', 'Low Insurance Check'), ('Contact Hospital', 'Reject Claim'), ('Contact Hospital', 'Low Medical History'), ('Contact Hospital', 'High Insurance Check'), ('Contact Hospital', 'Accept Claim'), ('Contact Hospital', 'Create Questionnaire'), ('High Insurance Check', 'Send Notification by e-mail'), ('High Insurance Check', 'Send Notification by Post'), ('High Insurance Check', 'Send Questionnaire'), ('High Insurance Check', 'High Medical History'), ('High Insurance Check', 'Prepare Notification Content'), ('High Insurance Check', 'Register'), ('High Insurance Check', 'Low Insurance Check'), ('High Insurance Check', 'Reject Claim'), ('High Insurance Check', 'Low Medical History'), ('High Insurance Check', 'Contact Hospital'), ('High Insurance Check', 'Accept Claim'), ('High Insurance Check', 'Create Questionnaire'), ('Accept Claim', 'Send Notification by e-mail'), ('Accept Claim', 'Send Notification by Post'), ('Accept Claim', 'Send Questionnaire'), ('Accept Claim', 'High Medical History'), ('Accept Claim', 'Prepare Notification Content'), ('Accept Claim', 'Register'), ('Accept Claim', 'Low Insurance Check'), ('Accept Claim', 'Reject Claim'), ('Accept Claim', 'Low Medical History'), ('Accept Claim', 'Contact Hospital'), ('Accept Claim', 'High Insurance Check'), ('Accept Claim', 'Create Questionnaire'), ('Create Questionnaire', 'Send Notification by e-mail'), ('Create Questionnaire', 'Send Notification by Post'), ('Create Questionnaire', 'Send Questionnaire'), ('Create Questionnaire', 'High Medical History'), ('Create Questionnaire', 'Prepare Notification Content'), ('Create Questionnaire', 'Register'), ('Create Questionnaire', 'Low Insurance Check'), ('Create Questionnaire', 'Reject Claim'), ('Create Questionnaire', 'Low Medical History'), ('Create Questionnaire', 'Contact Hospital'), ('Create Questionnaire', 'High Insurance Check'), ('Create Questionnaire', 'Accept Claim')] self.transformed_log = { '2_100': {'Contact Hospital': [3], 'Create Questionnaire': [1], 'High Insurance Check': [2], 'High Medical History': [4], 'Prepare Notification Content': [6], 'Register': [0], 'Reject Claim': [5]}, '2_101': {'Accept Claim': [4], 'Create Questionnaire': [2], 'Low Insurance Check': [3], 'Low Medical History': [1], 'Prepare Notification Content': [5], 'Register': [0], 'Send Questionnaire': [6]}, '2_102': {'Contact Hospital': [4], 'Create Questionnaire': [1], 'High Insurance Check': [2], 'High Medical History': [3], 'Prepare Notification Content': [6], 'Register': [0], 'Reject Claim': [5]}, '2_103': {'Accept Claim': [3], 'Create Questionnaire': [4], 'Low Insurance Check': [2], 'Low Medical History': [1], 'Prepare Notification Content': [5], 'Register': [0], 'Send Notification by e-mail': [6]}, '2_104': {'Accept Claim': [3], 'Create Questionnaire': [5], 'Low Insurance Check': [2], 'Low Medical History': [1], 'Prepare Notification Content': [4], 'Register': [0], 'Send Notification by e-mail': [6]}, '2_105': {'Contact Hospital': [1], 'Create Questionnaire': [6], 'High Insurance Check': [3], 'High Medical History': [2], 'Prepare Notification Content': [5], 'Register': [0], 'Reject Claim': [4]}, '2_106': {'Contact Hospital': [1], 'Create Questionnaire': [3], 'High Insurance Check': [2], 'High Medical History': [4], 'Prepare Notification Content': [6], 'Register': [0], 'Reject Claim': [5]}, '2_107': {'Create Questionnaire': [1], 'Low Insurance Check': [3], 'Low Medical History': [2], 'Prepare Notification Content': [5], 'Register': [0], 'Reject Claim': [4], 'Send Notification by e-mail': [6]}, '2_108': {'Accept Claim': [3], 'Create Questionnaire': [4], 'Low Insurance Check': [2], 'Low Medical History': [1], 'Prepare Notification Content': [5], 'Register': [0], 'Send Notification by Post': [6]}, '2_109': {'Accept Claim': [5], 'Contact Hospital': [4], 'Create Questionnaire': [1], 'High Insurance Check': [3], 'High Medical History': [2], 'Prepare Notification Content': [6], 'Register': [0]}, '2_126': {'Create Questionnaire': [1], 'Low Insurance Check': [3], 'Low Medical History': [2], 'Prepare Notification Content': [5], 'Register': [0], 'Reject Claim': [4], 'Send Questionnaire': [6]}, '2_124': {'Accept Claim': [5], 'Contact Hospital': [3], 'Create Questionnaire': [1], 'High Insurance Check': [4], 'High Medical History': [2], 'Prepare Notification Content': [6], 'Register': [0]}, '2_122': {'Accept Claim': [4], 'Contact Hospital': [3], 'Create Questionnaire': [6], 'High Insurance Check': [1], 'High Medical History': [2], 'Prepare Notification Content': [5], 'Register': [0]}, '2_123': {'Contact Hospital': [3], 'Create Questionnaire': [5], 'High Insurance Check': [1], 'High Medical History': [2], 'Prepare Notification Content': [6], 'Register': [0], 'Reject Claim': [4]}} def test_apply_template_to_log_init(self): templates = ['init'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1]] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_exist(self): templates = ['exist'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_absence1(self): templates = ['absence1'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_absence2(self): templates = ['absence2'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_absence3(self): templates = ['absence3'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_choice(self): templates = ['choice'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [-1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1], [1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, 1], [-1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1], [1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, -1], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [-1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1], [1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [-1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1], [1, 1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1], [-1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1], [1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1], [1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1], [-1, -1, -1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1], [1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [-1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, -1, -1, -1, 1, -1, -1, 1], [1, -1, 1, -1, -1, 1, 1, 1, 1, -1, 1, -1, -1, 1], [1, 1, 1, -1, -1, 1, 1, 1, -1, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [-1, -1, -1, 1, 1, -1, -1, 1, 1, -1, -1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1], [1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, 1, 1, -1, 1, 1, 1], [1, 1, 1, -1, -1, 1, 1, -1, -1, 1, 1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, 1, 1, 1, -1, 1, 1, -1], [-1, 1, -1, 1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1], [-1, -1, -1, 1, 1, -1, -1, -1, 1, 1, 1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 1, 1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], [1, 1, 1, 1, 1, 1, 1, -1, 1, -1, -1, -1, -1, 1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_coexistence(self): templates = ['coexistence'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [0, 0, 0, -1, -1, 0, 0, -1, -1, 0, 0, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 0, 0, -1, 0, 0, 0], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, -1, -1, -1, -1, 1, 0, 0, -1, 0, 0, -1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [0, -1, 0, 1, 1, 0, 0, -1, -1, -1, 0, -1, -1, 0], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, -1, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, -1, 0, -1, 0, 0, 0], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [-1, -1, -1, 0, 0, -1, -1, -1, 0, 0, 1, 0, 0, -1], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [0, 1, 0, -1, -1, 0, 0, 0, -1, -1, -1, -1, -1, 0], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, -1, 0, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 0, 1, 1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 0, 1, 0, 0, -1], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, -1, 1, -1, -1, -1, -1, 0], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, 1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, -1, 0, -1, 0, 0, -1], [-1, -1, -1, 0, 0, -1, -1, -1, 0, 0, 1, 0, 0, -1], [1, 0, 1, 0, 0, 1, 1, -1, 0, -1, -1, -1, -1, 1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 0, 1, 0, 0, -1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 0, 1, 0, 0, -1], [1, 0, 1, 0, 0, 1, 1, -1, 0, -1, -1, -1, -1, 1], [1, 0, 1, 0, 0, 1, 1, -1, 0, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 0, 1, 0, 0, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, -1, 1, -1, -1, -1, -1, 0], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, -1, 0, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 0, 1, 1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, -1, 0, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 0, 1, 1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [0, -1, 0, 1, 1, 0, 0, -1, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [0, 1, 0, -1, -1, 0, 0, 0, -1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 0, 1, 1, -1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [0, 1, 0, 1, 1, 0, 0, -1, 1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, -1, 1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 0, 1, 1, -1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 0, 1, 1, -1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_exactly1(self): templates = ['exactly1'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [[-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_exactly2(self): templates = ['exactly2'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_exactly3(self): templates = ['exactly3'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_alternate_precedence(self): templates = ['alternate_precedence'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, -1, 0, 0, 1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, 1, -1, 0, 0, 1, 0, 1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, 1, 0], [-1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, 1, 1], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 0, 1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [-1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 0, 1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [-1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, -1, 0, 0, 1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, 1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, 1, 0], [-1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [1, 0, 1, 0, 0, -1, 1, 0, 0, -1, 0, -1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, -1, 0, 0, 1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, -1, 1, 1], [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, 1, 0], [-1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1], [0, 0, 0, 1, 1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, -1, 1, 0, 0, 1, 0, 1, -1, -1], [1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, -1, 1, 1, 0, 0, 1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, -1, -1], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, -1, -1], [0, 1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, -1, 0] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_alternate_succession(self): templates = ['alternate_succession'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [0, 0, 0, -1, -1, 0, 0, -1, -1, 0, 0, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 0, 0, -1, 0, 0, 0], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, -1, -1, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, -1, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, -1, 0, -1, 0, 0, 0], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, -1, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, -1, 0, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, 1, -1, 0, 0, 1, 0, 1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 0, 1, 1, -1], [-1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, 1, 1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 0, 1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, -1, 1, -1, -1, -1, -1, 0], [-1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, 1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, -1, 0, -1, 0, 0, -1], [-1, -1, -1, 0, 0, -1, -1, -1, 0, 0, 1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, 0, -1, 0, 0, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, -1, -1, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 0, 1, 0, 0, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, -1, 1, -1, -1, -1, -1, 0], [-1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, -1, 0, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, 1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 0, 1, 1, -1], [-1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, -1, 1, 0, 0, -1, 0, -1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, -1, 0, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, -1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 0, 1, 1, -1], [-1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1], [0, -1, 0, 1, 1, 0, 0, -1, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [0, 1, 0, -1, -1, 0, 0, 0, -1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1], [1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1], [1, -1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_alternate_response(self): templates = ['alternate_response'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, 1, -1, 0, 0, 1, 0, 1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, -1], [-1, 0, -1, 0, 0, 1, -1, 0, 0, -1, 0, -1, 1, 1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, -1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, 1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, 1, -1, -1, 0, 0, -1, 0, 0, 1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, 1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, -1], [-1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, -1, 1, 0, 0, -1, 0, -1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, -1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, -1], [-1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, 1, 1], [0, -1, 0, 1, 1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [0, 1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, 1, 1, 0, 0, 0, 1, -1, 0, -1, 1, 0], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1], [1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1], [1, -1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_chain_precedence(self): templates = ['chain_precedence'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [1, 0, -1, 0, 0, -1, 1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, 1, 0, 0, -1, -1, 0, 0, -1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, 1, -1, 0, 0, 1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, 1, -1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, 1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, 1, 1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [1, -1, 1, -1, -1, -1, -1, 1, -1, 1, 1, 1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 0, 1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [1, 0, -1, 0, 0, 1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, 1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, 1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, 1, 0, 0, -1, 0, 1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, -1, 1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, 1, 0, 0, -1, -1, 0, 0, -1, 0, -1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, 1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, 1, -1, 0], [-1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 1, -1, -1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [0, 0, 0, -1, 1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, 1, 0, 0, 1, 0, 1, -1, -1], [-1, -1, -1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_chain_response(self): templates = ['chain_response'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, -1, 0, 0, -1, 1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, 1, 0, 0, -1, -1, 0, 0, -1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, 1, -1, 0, 0, 1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 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-1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, -1, 0, 0, 1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, 1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, 1, 0, 0, -1, 0, 1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, -1, 1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, 1, 0, 0, -1, -1, 0, 0, -1, 0, -1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 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-1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1], [-1, -1, -1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_chain_succession(self): templates = ['chain_succession'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [0, 0, 0, -1, -1, 0, 0, -1, -1, 0, 0, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 0, 0, -1, 0, 0, 0], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, -1, -1, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, -1, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, -1, 0, -1, 0, 0, 0], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, -1, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 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0, -1, -1, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, 0, -1, 0, 0, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1, -1, 0], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [1, 0, -1, 0, 0, 1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, 1, 0, 0, -1, -1, -1, 0, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, -1, 0, 0, -1, 1, 0, 0, -1, 0, 1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 0, -1, 1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [-1, 0, 1, 0, 0, -1, -1, 0, 0, -1, 0, -1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, -1, 0, 0, 1, -1, -1, 0, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, -1, 0, 1, -1, -1], [-1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, 1, -1, -1, 1, -1, -1, -1, -1, 1, -1, 1, 1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1], [-1, -1, -1, 1, -1, -1, -1, -1, 1, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_not_chain_succession(self): templates = ['not_chain_succession'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [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, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 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, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 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, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 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, 1, 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, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 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, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 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, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 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], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-1, 0, 1, 0, 0, 1, -1, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, -1, 0, 0, 1, 1, 0, 0, 1, 0, -1, -1, -1], [1, 0, 1, 0, 0, -1, 1, 0, 0, -1, 0, 1, 1, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [0, 0, 0, -1, 1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, -1, -1], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [-1, 1, -1, 1, 1, 1, 1, -1, 1, -1, -1, -1, 1, 1], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, -1, 0, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 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, -1, 0, -1, -1, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 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, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, -1], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 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, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, -1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 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], [-1, 0, 1, 0, 0, -1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, -1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, -1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 1, 0, 0, 1, -1, 0, 0, 1, 0, -1, 1, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 1, -1, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [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], [1, 0, -1, 0, 0, 1, 1, 0, 0, 1, 0, 1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 1, 0, 0, -1, 1, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-1, 0, 1, 0, 0, 1, 1, 0, 0, -1, 0, 1, 1, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, -1, 1, 0], [1, 0, 1, 0, 0, 1, -1, 0, 0, 1, 0, 1, 1, 1], [0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0], [0, -1, 0, 1, -1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0], [0, 1, 0, -1, 1, 0, 0, 0, -1, 1, 0, 1, 1, 0], [0, 0, 0, 1, -1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, -1, 0, 0, -1, 0, -1, 1, 1], [1, 1, 1, -1, 1, 1, 1, 1, -1, 1, 1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, -1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [0, 1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_not_coexistence(self): templates = ['not_coexistence'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0], [1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [0, 1, 0, -1, -1, 0, 0, -1, 1, 0, 1, 0, 0, 0], [1, 0, 1, 1, 1, 1, 1, -1, 0, 0, 1, 0, 0, 1], [0, 1, 0, -1, -1, 0, 0, -1, 1, 0, 1, 0, 0, 0], [1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1], [1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1], [0, 1, 0, -1, -1, 0, 0, 1, 1, 1, 0, 1, 1, 0], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [0, 1, 0, 1, 1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1], [0, 1, 0, 1, 1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1], [0, 1, 0, 1, 1, 0, 0, 0, -1, 1, 0, 1, 1, 0], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0], [1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [0, -1, 0, 1, 1, 0, 0, 1, 1, 0, -1, 0, 0, 0], [1, 1, 1, 0, 0, 1, 1, 1, 0, 0, -1, 0, 0, 1], [0, -1, 0, 1, 1, 0, 0, 1, 1, 0, -1, 0, 0, 0], [1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1], [1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1], [0, -1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1], [1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 1, 1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, 0, 1, -1, 0, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, -1, -1, 0, 0, -1, 1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [0, -1, 0, 1, 1, 0, 0, 1, 1, 0, -1, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, -1, 1, 0, -1, 0, 0, 1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, -1, 0, -1, -1, 0, 0, 1, -1, 1, 1, 1, 1, 0], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 0, 1, 1, 1, 1, 1, -1, 0, 0, 1, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1], [1, 1, 1, 0, 0, 1, 1, 1, 0, 0, -1, 0, 0, 1], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 1, 1, 1, 1, -1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, -1, 1, 0, -1, 0, 0, 1], [1, 1, 1, 1, 1, 1, 1, -1, 1, 0, -1, 0, 0, 1], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 1, 1, 1, 1, -1], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 1, 1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [0, 1, 0, -1, -1, 0, 0, -1, 1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [0, -1, 0, 1, 1, 0, 0, 1, 1, 0, -1, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, -1, 1, 0, -1, 0, 0, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, -1, 0, -1, -1, 0, 0, 1, -1, 1, 1, 1, 1, 0], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1], [1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 1, 1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, 0, 1, -1, 0, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1], [1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 1, 1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 1, 1, 1, 1, 1, 1, 0, 1, -1, 0, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [0, 1, 0, -1, -1, 0, 0, 1, 1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 1, 0, 0, 0, -1, 1, 0, 1, 1, 0], [0, -1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0], [1, 1, 1, 1, 1, 1, 1, 0, 1, -1, 0, -1, -1, 1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [0, -1, 0, -1, -1, 0, 0, 1, -1, 1, 1, 1, 1, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, -1, 0, -1, -1, 0, 0, 1, -1, 1, 1, 1, 1, 0], [1, 1, 1, 1, 1, 1, 1, 0, 1, -1, 0, -1, -1, 1], [1, 1, 1, 1, 1, 1, 1, 0, 1, -1, 0, -1, -1, 1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_not_succession(self): templates = ['not_succession'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, -1, 1, 0, 0, -1, 0, -1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, 1], [1, 0, 1, 0, 0, -1, 1, 0, 0, 1, 0, 1, -1, -1], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, -1, -1, 0, 0, -1, 1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [0, -1, 0, 1, 1, 0, 0, 1, 1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, 1, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, -1, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [1, 0, 1, 0, 0, -1, 1, 1, 0, 0, 1, 0, 0, -1], [0, 1, 0, -1, -1, 0, 0, -1, 1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [0, -1, 0, 1, 1, 0, 0, 1, 1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, -1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, 1], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, 1, -1, 0, 0, 1, 0, 1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, 1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, 1], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, -1, -1], [0, 1, 0, -1, -1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 1, 0, 0, 0, -1, 1, 0, 1, 1, 0], [0, -1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, 1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, -1, 0], [1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, 1, -1, 1, 1, -1, 1, -1, 1, 1], [-1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, -1, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, 1, -1, -1, 1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, -1, 1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1], [-1, 1, -1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1], [1, -1, 1, 1, 1, 1, 1, 1, 1, -1, 1, -1, 1, 1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_responded_existence(self): templates = ['responded_existence'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, 1, 0, 0, -1], [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, -1, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 0, 1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 0, 1, 0, 0, -1], [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, -1, 0, 0, 1], [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, -1, 0, 0, 1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [0, -1, 0, 1, 1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [0, 1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, 1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, 1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_response(self): templates = ['response'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, 1, -1, 0, 0, 1, 0, 1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, -1], [-1, 0, -1, 0, 0, 1, -1, 0, 0, -1, 0, -1, 1, 1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, -1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, 1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, 1, -1, -1, 0, 0, -1, 0, 0, 1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, 1, 1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, 1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, -1], [-1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, -1, 1, 0, 0, -1, 0, -1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, -1, 1, 1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, -1], [-1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, 1, 1], [0, -1, 0, 1, 1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [0, 1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [0, -1, 0, 1, 1, 0, 0, 0, 1, -1, 0, -1, 1, 0], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1], [1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1], [1, -1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_succession(self): templates = ['succession'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [0, 0, 0, -1, -1, 0, 0, -1, -1, 0, 0, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 0, 0, -1, 0, 0, 0], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, -1, -1, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, -1, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, 0, 0, -1, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, -1, 0, -1, 0, 0, 0], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, -1, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, -1, 0, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, 1, -1, 0, 0, 1, 0, 1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 0, 1, 1, -1], [-1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, 1, 1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 0, 1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, -1, 1, -1, -1, -1, -1, 0], [-1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, 1, 0, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, -1, 0, -1, 0, 0, -1], [-1, -1, -1, 0, 0, -1, -1, -1, 0, 0, 1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, -1, -1, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, 0, -1, 0, 0, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, 0, -1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, -1, -1, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, -1, 0, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1], [0, -1, 0, 1, 1, 0, 0, 1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, 1, 0, -1, 0, 0, 0], [0, 1, 0, -1, -1, 0, 0, -1, -1, 0, 1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [-1, -1, -1, -1, -1, -1, -1, 1, -1, 0, 1, 0, 0, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, -1, 1, -1, -1, -1, -1, 0], [-1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, -1, 0, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, 1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 0, 1, 1, -1], [-1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1], [-1, 0, -1, -1, -1, -1, -1, -1, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 0, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, -1, 1, 0, 0, -1, 0, -1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, 1, 1, -1, 0, -1, -1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, -1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, 1, 0, 1, 1, -1], [-1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1], [0, -1, 0, 1, 1, 0, 0, -1, -1, -1, 0, -1, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [0, 1, 0, -1, -1, 0, 0, 0, -1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, -1, -1, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 0, -1, -1, 0, -1, -1, -1], [-1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1], [-1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, -1, 1, -1, -1, 1, -1, 1, -1, -1], [1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, -1, 1, 1, -1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, 1, -1, -1, 1, -1, -1, -1], [1, -1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1], [1, -1, 1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1], [-1, 1, -1, -1, -1, -1, -1, -1, -1, 1, -1, 1, -1, -1] ] self.assertEqual(expected, constraint_result) def test_apply_template_to_log_precedence(self): templates = ['precedence'] constraint_result = [] template = templates[0] for candidate in self.candidates: if len(candidate) == template_sizes[template]: constraint_result += [apply_template_to_log(template, candidate, self.transformed_log)] expected = [ [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, -1, 0, 0, 1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, 1, 1], [-1, 0, -1, 0, 0, 1, -1, 0, 0, 1, 0, 1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, 1, 0], [-1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, 1, 1], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, -1, 1, -1], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1], [0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 0, 1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [-1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, 1, -1, -1, 1, -1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, -1, 0, -1, -1, 0], [-1, -1, -1, -1, -1, 1, -1, -1, -1, -1, -1, -1, -1, 1], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, 1, 1, -1, 1, -1, -1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 1, 0, 0, 1, 0, 0, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [0, 1, 0, 1, 1, 0, 0, 0, 1, -1, 0, -1, -1, 0], [-1, 1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, -1, -1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, -1, -1, -1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, -1, 0, 0, 1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 0, 1, -1, -1], [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, 1, 0], [-1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1], [0, 0, 0, -1, -1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0], [0, -1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [1, 0, 1, 0, 0, -1, 1, 0, 0, -1, 0, -1, 1, 1], [1, -1, 1, -1, -1, 1, 1, -1, -1, 1, -1, 1, 1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [1, 0, 1, 0, 0, 1, 1, -1, 0, 0, -1, 0, 0, 1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, -1, 1, 1], [0, -1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, 1, 0], [-1, -1, -1, -1, -1, 1, 1, -1, -1, -1, -1, -1, 1, 1], [0, 0, 0, 1, 1, 0, 0, -1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 1, -1, 1, 1, -1, -1, -1, 1, 1, -1, 1, 1, -1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, -1, 0, 0, -1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, -1, -1, 0, -1, 0, 0, 0], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, 0, -1, 0, 0, -1, -1, 0, 0, -1, 0, -1, -1, -1], [-1, -1, -1, 1, 1, -1, -1, -1, 1, -1, -1, -1, 1, -1], [0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, -1, 1, 0, 0, 1, 0, 1, -1, -1], [1, 1, 1, 1, -1, -1, 1, 1, 1, 1, 1, 1, -1, 1], [-1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1], [0, 1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, -1, 1, 1, 0, 0, 1, 0, 0, -1], [0, -1, 0, -1, -1, 0, 0, 1, -1, 0, 1, 0, 0, 0], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, -1, -1], [1, 0, 1, 0, 0, -1, -1, 0, 0, 1, 0, 1, -1, -1], [0, 1, 0, -1, -1, 0, 0, 0, -1, 1, 0, 1, -1, 0] ] self.assertEqual(expected, constraint_result)

2,266.030691

278,273

0.548643

159,363

886,018

3.01496

0.000747

0.207204

0.253731

0.301653

0.989298

0.973258

0.924356

0.855619

0.804101

0.77248

0

0.140153

0.168076

886,018

390

278,274

2,271.841026

0.511689

0.000239

0

0.54023

1

0

0.527174

0.136962

0

0.08046

1

0.083333

false

0

0.005747

0

0.094828

0

null

1

0

1

0

1

0

null

0

12

0c1eb61dcabf3c4e5daa6e90795e6853882b1ee5

9,732

py

Python

ub/modules/trolls.py

parv779/javes-3.0

d510717b2756a65b39ff18d9f53d4adc46d8e23f

[ "MIT" ]

15

2020-12-13T17:37:05.000Z

2021-06-23T00:00:49.000Z

ub/modules/trolls.py

parv779/javes-3.0

d510717b2756a65b39ff18d9f53d4adc46d8e23f

[ "MIT" ]

2

2021-01-11T16:39:31.000Z

2021-01-25T22:35:28.000Z

ub/modules/trolls.py

parv779/javes-3.0

d510717b2756a65b39ff18d9f53d4adc46d8e23f

[ "MIT" ]

78

2020-12-13T17:52:51.000Z

2022-03-24T03:43:09.000Z

""" credits to @mrconfused and @sandy1709 """ # Copyright (C) 2020 sandeep.n(π.$) # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as # published by the Free Software Foundation, either version 3 of the # License, or (at your option) any later version. # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Affero General Public License for more details. # You should have received a copy of the GNU Affero General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. import os import pybase64 from telegraph import exceptions, upload_file from telethon.tl.functions.messages import ImportChatInviteRequest as Get from ub import bot from ub import CMD_HELP from ub.utils import admin_cmd from ub.helpers import * @bot.on(admin_cmd(pattern="threats(?: |$)(.*)")) async def catbot(catmemes): replied = await catmemes.get_reply_message() if not os.path.isdir("./temp/"): os.makedirs("./temp/") if not replied: await catmemes.edit("reply to a supported media file") return if replied.media: catmemmes = await catmemes.edit("passing to telegraph...") else: await catmemes.edit("reply to a supported media file") return try: cat = pybase64.b64decode("QUFBQUFGRV9vWjVYVE5fUnVaaEtOdw==") cat = Get(cat) await catmemes.client(cat) except BaseException: pass download_location = await catmemes.client.download_media(replied, "./temp/") if download_location.endswith((".webp")): download_location = convert_toimage(download_location) size = os.stat(download_location).st_size if download_location.endswith((".jpg", ".jpeg", ".png", ".bmp", ".ico")): if size > 5242880: await catmemmes.edit( "the replied file size is not supported it must me below 5 mb" ) os.remove(download_location) return await catmemmes.edit("generating image..") else: await catmemmes.edit("the replied file is not supported") os.remove(download_location) return try: response = upload_file(download_location) os.remove(download_location) except exceptions.TelegraphException as exc: await catmemmes.edit("ERROR: " + str(exc)) os.remove(download_location) return cat = f"https://telegra.ph{response[0]}" cat = await threats(cat) await catmemmes.delete() await catmemes.client.send_file(catmemes.chat_id, cat, reply_to=replied) @bot.on(admin_cmd(pattern="trash(?: |$)(.*)")) async def catbot(catmemes): replied = await catmemes.get_reply_message() if not os.path.isdir("./temp/"): os.makedirs("./temp/") if not replied: await catmemes.edit("reply to a supported media file") return if replied.media: catmemmes = await catmemes.edit("passing to telegraph...") else: await catmemes.edit("reply to a supported media file") return try: cat = pybase64.b64decode("QUFBQUFGRV9vWjVYVE5fUnVaaEtOdw==") cat = Get(cat) await catmemes.client(cat) except BaseException: pass download_location = await catmemes.client.download_media(replied, "./temp/") if download_location.endswith((".webp")): download_location = convert_toimage(download_location) size = os.stat(download_location).st_size if download_location.endswith((".jpg", ".jpeg", ".png", ".bmp", ".ico")): if size > 5242880: await catmemmes.edit( "the replied file size is not supported it must me below 5 mb" ) os.remove(download_location) return await catmemmes.edit("generating image..") else: await catmemmes.edit("the replied file is not supported") os.remove(download_location) return try: response = upload_file(download_location) os.remove(download_location) except exceptions.TelegraphException as exc: await catmemmes.edit("ERROR: " + str(exc)) os.remove(download_location) return cat = f"https://telegra.ph{response[0]}" cat = await trash(cat) await catmemmes.delete() await catmemes.client.send_file(catmemes.chat_id, cat, reply_to=replied) @bot.on(admin_cmd(pattern="trap(?: |$)(.*)")) async def catbot(catmemes): input_str = catmemes.pattern_match.group(1) input_str = deEmojify(input_str) if "|" in input_str: text1, text2 = input_str.split("|") else: await catmemes.edit( "**Syntax :** reply to image or sticker with `.trap (name of the person to trap)|(trapper name)`", ) return replied = await catmemes.get_reply_message() if not os.path.isdir("./temp/"): os.makedirs("./temp/") if not replied: await catmemes.edit("reply to a supported media file") return if replied.media: catmemmes = await catmemes.edit("passing to telegraph...") else: await catmemes.edit("reply to a supported media file") return try: cat = pybase64.b64decode("QUFBQUFGRV9vWjVYVE5fUnVaaEtOdw==") cat = Get(cat) await catmemes.client(cat) except BaseException: pass download_location = await catmemes.client.download_media(replied, "./temp/") if download_location.endswith((".webp")): download_location = convert_toimage(download_location) size = os.stat(download_location).st_size if download_location.endswith((".jpg", ".jpeg", ".png", ".bmp", ".ico")): if size > 5242880: await catmemmes.edit( "the replied file size is not supported it must me below 5 mb" ) os.remove(download_location) return await catmemmes.edit("generating image..") else: await catmemmes.edit("the replied file is not supported") os.remove(download_location) return try: response = upload_file(download_location) os.remove(download_location) except exceptions.TelegraphException as exc: await catmemmes.edit("ERROR: " + str(exc)) os.remove(download_location) return cat = f"https://telegra.ph{response[0]}" cat = await trap(text1, text2, cat) await catmemmes.delete() await catmemes.client.send_file(catmemes.chat_id, cat, reply_to=replied) @bot.on(admin_cmd(pattern="phub(?: |$)(.*)")) async def catbot(catmemes): input_str = catmemes.pattern_match.group(1) input_str = deEmojify(input_str) if "|" in input_str: username, text = input_str.split("|") else: await catmemes.edit( "**Syntax :** reply to image or sticker with `.phub (username)|(text in comment)`" ) return replied = await catmemes.get_reply_message() if not os.path.isdir("./temp/"): os.makedirs("./temp/") if not replied: await catmemes.edit("reply to a supported media file") return if replied.media: catmemmes = await catmemes.edit("passing to telegraph...") else: await catmemes.edit("reply to a supported media file") return try: cat = pybase64.b64decode("QUFBQUFGRV9vWjVYVE5fUnVaaEtOdw==") cat = Get(cat) await catmemes.client(cat) except BaseException: pass download_location = await catmemes.client.download_media(replied, "./temp/") if download_location.endswith((".webp")): download_location = convert_toimage(download_location) size = os.stat(download_location).st_size if download_location.endswith((".jpg", ".jpeg", ".png", ".bmp", ".ico")): if size > 5242880: await catmemmes.edit( "the replied file size is not supported it must me below 5 mb" ) os.remove(download_location) return await catmemmes.edit("generating image..") else: await catmemmes.edit("the replied file is not supported") os.remove(download_location) return try: response = upload_file(download_location) os.remove(download_location) except exceptions.TelegraphException as exc: await catmemmes.edit("ERROR: " + str(exc)) os.remove(download_location) return cat = f"https://telegra.ph{response[0]}" cat = await phcomment(cat, text, username) await catmemmes.delete() await catmemes.client.send_file(catmemes.chat_id, cat, reply_to=replied) CMD_HELP.update( { "trolls": "__**PLUGIN NAME :** TROLLS__\ \n\n📌** CMD ➥** `.threats` reply to image or sticker \ \n**USAGE ➥ **Changes the given pic to another pic which shows that pic content is threat to society as that of nuclear bomb .\ \n\n📌** CMD ➥** `.trash` reply to image or sticker\ \n**USAGE ➥ **Changes the given pic to another pic which shows that pic content is as equal as to trash(waste)\ \n\n📌** CMD ➥** Reply to image or sticker with `.trap (name of the person to trap)|(trapper name)`\ \n**USAGE ➥ **Changes the given pic to another pic which shows that pic content is trapped in trap card\ \n\n📌** CMD ➥** Reply to image or sticker with `.phub (username)|(text in comment)`\ \n**USAGE ➥ **Changes the given pic to another pic which shows that pic content as dp and shows a comment in phub with the given username\ " } )

38.772908

147

0.644061

1,222

9,732

5.05401

0.168576

0.11399

0.046632

0.062176

0.851198

0.845693

0.840512

0.829501

0

0.010485

0.245376

9,732

250

148

38.928

0.82884

0.075524

0

0.821429

0

0.03125

0.167168

0.014255

0

1

0

false

0.035714

0

0.133929

0

null

0

1

0

1

0

null

0

7

a77964dadeb8484744dd645b1ee1d7227b83fb9f

119

py

Python

src/docxCreater/__init__.py

HoPGoldy/docx-server

d1612b832e4f078080342b74a2a80cc5eca7c5b4

[ "MIT" ]

null

src/docxCreater/__init__.py

HoPGoldy/docx-server

d1612b832e4f078080342b74a2a80cc5eca7c5b4

[ "MIT" ]

1

2021-03-31T19:58:14.000Z

src/docxCreater/__init__.py

HoPGoldy/docx-server

d1612b832e4f078080342b74a2a80cc5eca7c5b4

[ "MIT" ]

null

from .helloWorld.main import create as helloworld_create from .createWithTemplate.main import create as template_create

59.5

62

0.87395

16

119

6.375

0.5

0.196078

0.313725

0.352941

0

0.092437

119

2

62

59.5

0.944444

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

a7afbac37c5e9e2b3a3edba39ad55d80d82cb9db

6,371

py

Python

zues/forms.py

trolando/zues

11274baca7feafbeecdfc4a07d4c400f9c016270

[ "MIT" ]

null

zues/forms.py

trolando/zues

11274baca7feafbeecdfc4a07d4c400f9c016270

[ "MIT" ]

null

zues/forms.py

trolando/zues

11274baca7feafbeecdfc4a07d4c400f9c016270

[ "MIT" ]

null

from django.forms import Form, ModelForm, CharField, IntegerField, Textarea, EmailField from captcha.fields import ReCaptchaField from zues import models class MotieForm(ModelForm): def __init__(self, *args, **kwargs): super(MotieForm, self).__init__(*args, **kwargs) self.fields['titel'].widget.attrs.update({'placeholder': 'Titel van het voorstel'}) self.fields['onderwerp'].widget.attrs.update({'placeholder': 'Onderwerp (voor bestuur/congresteam)'}) self.fields['woordvoerder'].widget.attrs.update({'placeholder': 'Naam van de woordvoerder'}) self.fields['indieners'].widget.attrs.update({'placeholder': '"[JD Afdeling] Voorzitter, Secretaris" of "Naam 1, Naam 2, etc... (minimaal 5)"'}) self.fields['constateringen'].widget.attrs.update({'placeholder': 'Elke (optionele) constatering gescheiden door een of meerdere witregels..."'}) self.fields['overwegingen'].widget.attrs.update({'placeholder': 'Elke (optionele) overweging gescheiden door een of meerdere witregels..."'}) self.fields['uitspraken'].widget.attrs.update({'placeholder': 'Elke uitspraak gescheiden door een of meerdere witregels..."'}) self.fields['toelichting'].widget.attrs.update({'placeholder': 'Kort en bondige toelichting (optioneel)...'}) class ResolutieForm(ModelForm): def __init__(self, *args, **kwargs): super(ResolutieForm, self).__init__(*args, **kwargs) self.fields['titel'].widget.attrs.update({'placeholder': 'Titel van het voorstel'}) self.fields['onderwerp'].widget.attrs.update({'placeholder': 'Onderwerp (voor bestuur/congresteam)'}) self.fields['woordvoerder'].widget.attrs.update({'placeholder': 'Naam van de woordvoerder'}) self.fields['indieners'].widget.attrs.update({'placeholder': '"[JD Afdeling] Voorzitter, Secretaris" of "Naam 1, Naam 2, etc... (minimaal 5)"'}) self.fields['betreft'].widget.attrs.update({'placeholder': 'Resolutie/Voorstel/Hoofdstuk N, pagina M, regels X-Y'}) self.fields['tekst1'].widget.attrs.update({'placeholder': 'Volledige tekst die geschrapt of toegevoegd wordt...'}) self.fields['tekst2'].widget.attrs.update({'placeholder': 'Volledige tekst die de geschrapte tekst vervangt... (alleen gebruiken bij type Vervangen)'}) self.fields['toelichting'].widget.attrs.update({'placeholder': 'Kort en bondige toelichting (optioneel)...'}) class PMForm(MotieForm): constateringen = CharField(widget=Textarea, label='Constaterende dat', required=False) overwegingen = CharField(widget=Textarea, label='Overwegende dat', required=False) uitspraken = CharField(widget=Textarea, label='Spreekt uit dat') def __init__(self, *args, **kwargs): super(PMForm, self).__init__(*args, **kwargs) self.fields['toelichting'].widget.attrs.update({'placeholder': 'Optionele toelichting van maximaal 100 woorden...'}) class Meta: model = models.PolitiekeMotie fields = ('titel', 'onderwerp', 'woordvoerder', 'indieners', 'constateringen', 'overwegingen', 'uitspraken', 'toelichting',) class APMForm(MotieForm): constateringen = CharField(widget=Textarea, label='Constaterende dat', required=False) overwegingen = CharField(widget=Textarea, label='Overwegende dat', required=False) uitspraken = CharField(widget=Textarea, label='Spreekt uit dat') def __init__(self, *args, **kwargs): super(APMForm, self).__init__(*args, **kwargs) self.fields['toelichting'].widget.attrs.update({'placeholder': 'Optionele toelichting van maximaal 100 woorden...'}) class Meta: model = models.ActuelePolitiekeMotie fields = ('titel', 'onderwerp', 'woordvoerder', 'indieners', 'constateringen', 'overwegingen', 'uitspraken', 'toelichting',) class ORGForm(MotieForm): constateringen = CharField(widget=Textarea, label='Constaterende dat', required=False) overwegingen = CharField(widget=Textarea, label='Overwegende dat', required=False) uitspraken = CharField(widget=Textarea, label='Spreekt uit dat') class Meta: model = models.Organimo fields = ('titel', 'onderwerp', 'woordvoerder', 'indieners', 'constateringen', 'overwegingen', 'uitspraken', 'toelichting',) class RESForm(ResolutieForm): tekst1 = CharField(widget=Textarea, label='Schrap/Voeg toe:') tekst2 = CharField(widget=Textarea, label='Vervang door:', required=False) class Meta: model = models.Resolutie fields = ('titel', 'onderwerp', 'woordvoerder', 'indieners', 'betreft', 'type', 'tekst1', 'tekst2', 'toelichting',) def __init__(self, *args, **kwargs): super(RESForm, self).__init__(*args, **kwargs) self.fields['betreft'].widget.attrs.update({'placeholder': 'Hoofdstuk N, pagina M, regels X-Y'}) class AMForm(ResolutieForm): tekst1 = CharField(widget=Textarea, label='Schrap/Voeg toe:') tekst2 = CharField(widget=Textarea, label='Vervang door:', required=False) class Meta: model = models.Amendement fields = ('titel', 'onderwerp', 'woordvoerder', 'indieners', 'betreft', 'type', 'tekst1', 'tekst2', 'toelichting',) def __init__(self, *args, **kwargs): super(AMForm, self).__init__(*args, **kwargs) self.fields['betreft'].widget.attrs.update({'placeholder': 'Voorstel/Resolutie N, pagina M, regels X-Y'}) self.fields['toelichting'].widget.attrs.update({'placeholder': 'Optionele toelichting van maximaal 100 woorden...'}) class HRForm(ResolutieForm): tekst1 = CharField(widget=Textarea, label='Schrap/Voeg toe:') tekst2 = CharField(widget=Textarea, label='Vervang door:', required=False) class Meta: model = models.HRWijziging fields = ('titel', 'onderwerp', 'woordvoerder', 'indieners', 'betreft', 'type', 'tekst1', 'tekst2', 'toelichting',) def __init__(self, *args, **kwargs): super(HRForm, self).__init__(*args, **kwargs) self.fields['betreft'].widget.attrs.update({'placeholder': 'Hoofdstuk N, pagina M, regels X-Y'}) class LidnummerForm(Form): lidnummer = IntegerField(label='Lidnummer:') class LidnummerRecaptchaForm(LidnummerForm): captcha = ReCaptchaField() class HelpLidnummerForm(Form): email = EmailField(max_length=254, label='Emailadres:') class HelpLidnummerRecaptchaForm(HelpLidnummerForm): captcha = ReCaptchaField()

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py

Python

intprim/filter/spatiotemporal/__init__.py

carlos-cardoso/intprim

cf6d83996e4a1ede3cda19c7906c6166ec5a6f6e

[ "MIT" ]

49

2017-11-23T22:37:36.000Z

2022-03-05T04:39:13.000Z

intprim/filter/spatiotemporal/__init__.py

souljaboy764/intprim

ecf905ce69dc14215230be3b3819d2236223e9ba

[ "MIT" ]

5

2019-03-31T08:47:33.000Z

2021-08-19T23:54:51.000Z

intprim/filter/spatiotemporal/__init__.py

souljaboy764/intprim

ecf905ce69dc14215230be3b3819d2236223e9ba

[ "MIT" ]

20

2018-01-22T20:17:24.000Z

2022-02-18T01:07:54.000Z

from intprim.filter.spatiotemporal.ekf import * from intprim.filter.spatiotemporal.enkf import * from intprim.filter.spatiotemporal.pf import *

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py

Python

plottingUtilsLaunchWindow.py

castanhas98/hodographic-shaping-method-python

c74e34a0c6ba127a9ee7c131c24f4c996a51c3cf

[ "MIT" ]

2

2021-08-31T07:55:45.000Z

2021-08-31T18:37:20.000Z

plottingUtilsLaunchWindow.py

castanhas98/hodographic-shaping-method-python

c74e34a0c6ba127a9ee7c131c24f4c996a51c3cf

[ "MIT" ]

1

2021-11-27T13:39:17.000Z

2021-11-27T13:51:57.000Z

plottingUtilsLaunchWindow.py

castanhas98/hodographic-shaping-method-python

c74e34a0c6ba127a9ee7c131c24f4c996a51c3cf

[ "MIT" ]

2

2020-06-18T17:54:02.000Z

2021-08-31T07:55:55.000Z

import matplotlib as mlt # mlt.use('TkAgg') import matplotlib.pyplot as plt import numpy as np from utils import * class plottingGridSearch(object): """ Plotting the results of a grid search Takes a numpy dictionary """ def __init__(self, results, save=False, folder='graveyard', externalMonitor=-1, show=True): # retrieve results self.deltaVs = results['deltaVs'] self.depDates = results['depDates'] self.Ns = results['Ns'] self.tofs = results['tofs'] # settings self.folder = folder self.save = save self.externalMonitorFlag = externalMonitor self.show = show def resultContours(self, save=None, folder=None, levels=50): ''' Contour plots of time of flight and departure dates for each N ''' print('Plotting contour') nPlots = len(self.Ns) XdepDates, Ytofs = np.meshgrid(self.depDates, self.tofs) plt.figure(figsize = (10, 4*nPlots)) index = 0 for i in self.Ns: # plt.subplot(nPlots, 1, i+1, sharex=True) plt.subplot(nPlots, 1, index+1) plot1 = plt.contourf(XdepDates, Ytofs, self.deltaVs[:, :, index]/1e3, levels) cbar = plt.colorbar() cbar.ax.set_ylabel('DeltaV [km/s]') plt.title('DeltaV for N =' + str(i)) plt.ylabel('Time of flight [days]') index += 1 plt.xlabel('Departure Date [julian days]') plt.ylabel('Time of flight [days]') if save==None: save = self.save if folder==None: folder = self.folder if save==True: checkFolder(folder) plt.savefig(os.path.join(os.getcwd(), folder, 'DeltaV.pdf'), dpi=300) plt.savefig(os.path.join(os.getcwd(), folder, 'DeltaV.png'), dpi=300) plt.tight_layout() plt.show() def resultContoursImshow(self, save=None, folder=None, maxVal=None): ''' Contour plots of time of flight and departure dates for each N Using imshow ''' print('Plotting contour (imshow)') nPlots = len(self.Ns) XdepDates, Ytofs = np.meshgrid(self.depDates, self.tofs) plotDeltaV = self.deltaVs/1e3 if maxVal: plotDeltaV[plotDeltaV > maxVal] = np.nan plt.figure(figsize = (10, 4*nPlots)) index = 0 for i in self.Ns: # plt.subplot(nPlots, 1, i+1, sharex=True) plt.subplot(nPlots, 1, index+1) plot1 = plt.imshow(plotDeltaV[:, :, index], extent=[self.depDates[0], self.depDates[-1], self.tofs[0], self.tofs[-1]], origin='lower', aspect='auto') cbar = plt.colorbar() cbar.ax.set_ylabel('DeltaV [km/s]') plt.title('DeltaV for N =' + str(i)) plt.ylabel('Time of flight [days]') index += 1 plt.xlabel('Departure Date [julian days]') plt.ylabel('Time of flight [days]') if save==None: save = self.save if folder==None: folder = self.folder if save==True: checkFolder(folder) plt.savefig(os.path.join(os.getcwd(), folder, 'DeltaVimshow.pdf'), dpi=300) plt.savefig(os.path.join(os.getcwd(), folder, 'DeltaVimshow.png'), dpi=300) plt.tight_layout() plt.show() def resultContourBest(self, save=None, folder=None, levels=50, zRange = None, colorMap = 'viridis'): """ Contour plot of the best trajectories """ print('Plotting best contour (contourf)') XdepDates, Ytofs = np.meshgrid(self.depDates, self.tofs) # chose minimum DeltaV from different N # convert to km/s Vplot = np.amin(self.deltaVs, axis=2)/1e3 # Cut off large and small values if zRange: print(zRange) Vplot[Vplot < zRange[0]] = zRange[0] Vplot[Vplot > zRange[1]] = zRange[1] plt.figure(figsize = (10, 5)) plotLast = plt.contourf(XdepDates, Ytofs , Vplot, levels, cmap = colorMap) cbar = plt.colorbar() cbar.ax.set_ylabel('DeltaV [km/s]') # if self.zRange: # plt.clim(self.zRange) plt.xlabel('Departure Date [julian days]') plt.ylabel('Time of flight [days]') plt.title('Minimum DeltaV') if save==None: save = self.save if folder==None: folder = self.folder if save==True: checkFolder(folder) plt.savefig(os.path.join(os.getcwd(), folder, 'bestDeltaV.pdf'), dpi=300) plt.savefig(os.path.join(os.getcwd(), folder, 'bestDeltaV.png'), dpi=300) plt.show() def resultContourBestImshow(self, save=None, folder=None, levels=50, colorMap = 'viridis'): """ Contour plot of the best trajectories """ print('Plotting best contour (imshow)') XdepDates, Ytofs = np.meshgrid(self.depDates, self.tofs) # chose minimum DeltaV from different N # convert to km/s Vplot = np.amin(self.deltaVs, axis=2)/1e3 plt.figure(figsize = (10, 5)) plot1 = plt.imshow(Vplot, extent=[self.depDates[0], self.depDates[-1], self.tofs[0], self.tofs[-1]], origin='lower', aspect='auto', cmap=colorMap) cbar = plt.colorbar() cbar.ax.set_ylabel('DeltaV [km/s]') plt.xlabel('Departure Date [julian days]') plt.ylabel('Time of flight [days]') plt.title('Minimum DeltaV') if save==None: save = self.save if folder==None: folder = self.folder if save==True: checkFolder(folder) plt.savefig(os.path.join(os.getcwd(), folder, 'bestDeltaVimshow.pdf'), dpi=300) plt.savefig(os.path.join(os.getcwd(), folder, 'bestDeltaVimshow.png'), dpi=300) plt.show() def resultBestN(self, save=None, folder=None, levels=50, colorMap = 'viridis'): """ Plot the best N for each point in the grid search """ print('Plotting best Ns') fig = newFigure(height=3.5, half=False, target='paper') XdepDates, Ytofs = np.meshgrid(self.depDates, self.tofs) # chose minimum DeltaV from different N # convert to km/s Nplot = np.argmin(self.deltaVs, axis=2) plot1 = plt.imshow(Nplot, extent=[self.depDates[0], self.depDates[-1], self.tofs[0], self.tofs[-1]], origin='lower', aspect='auto', cmap=colorMap) cbar = plt.colorbar() cbar.ax.set_ylabel('N') plt.xlabel('Departure Date [julian days]') plt.ylabel('Time of flight [days]') plt.title('Number of revolutions for minimum DeltaV') if save==None: save = self.save if folder==None: folder = self.folder if save==True: checkFolder(folder) plt.savefig(os.path.join(os.getcwd(), folder, 'bestNimshow.pdf'), dpi=300) plt.savefig(os.path.join(os.getcwd(), folder, 'bestNimshow.png'), dpi=300) plt.show() def resultContourBest114(self, save=None, folder=None, colorMap='viridis'): """ Contour plot of the best trajectories Recreates Figure 11.4 in [Gondelach, 2012] """ print('Plotting best contour, recreating Figure 11.4') XdepDates, Ytofs = np.meshgrid(self.depDates, self.tofs) # chose minimum DeltaV from different N # convert to km/s Vplot = np.amin(self.deltaVs, axis=2)/1e3 plt.figure(figsize = (10, 4)) cmap = plt.get_cmap(colorMap) cmap = mlt.colors.ListedColormap(['mediumblue', 'royalblue', 'dodgerblue', 'deepskyblue', 'turquoise', 'chartreuse']) cmap.set_over(color='firebrick') cmap.set_under(color='r') bounds = [6, 7, 8, 10, 15, 20, 40] norm = mlt.colors.BoundaryNorm(bounds, cmap.N) ax = plt.gca() plotBest = plt.contourf(XdepDates, Ytofs , Vplot, levels=bounds, cmap=cmap, norm=norm, extend='max') cmap3 = mlt.colors.ListedColormap(['r', 'g', 'b', 'c']) cmap3.set_over('0.35') cbar = plt.colorbar() cbar.ax.set_ylabel('DeltaV [km/s]') plt.xlabel('Departure Date [MJD2000]') plt.ylabel('Time of flight [days]') plt.title('Minimum DeltaV') if save==None: save = self.save if folder==None: folder = self.folder if save==True: checkFolder(folder) plt.savefig(os.path.join(os.getcwd(), folder, '114.pdf'), dpi=300) plt.savefig(os.path.join(os.getcwd(), folder, '114.png'), dpi=300) plt.show() def resultContourBest118(self, save=None, folder=None, colorMap='viridis'): """ Contour plot of the best trajectories Recreates Figure 11.8 in [Gondelach, 2012] """ print('Plotting best contour, recreating Figure 11.4') XdepDates, Ytofs = np.meshgrid(self.depDates, self.tofs) # chose minimum DeltaV from different N # convert to km/s Vplot = np.amin(self.deltaVs, axis=2)/1e3 plt.figure(figsize = (10, 4)) cmap = plt.get_cmap(colorMap) cmap = mlt.colors.ListedColormap(['midnightblue', 'mediumblue', 'royalblue', 'dodgerblue', 'deepskyblue', 'turquoise', 'chartreuse']) bounds = [5, 6, 7, 8, 10, 15, 20, 40] norm = mlt.colors.BoundaryNorm(bounds, cmap.N) ax = plt.gca() plotBest = plt.contourf(XdepDates, Ytofs , Vplot, levels=bounds, cmap=cmap, norm=norm) cbar = plt.colorbar() cbar.ax.set_ylabel('DeltaV [km/s]') plt.xlabel('Departure Date [MJD2000]') plt.ylabel('Time of flight [days]') plt.title('Minimum DeltaV') if save==None: save = self.save if folder==None: folder = self.folder if save==True: checkFolder(folder) plt.savefig(os.path.join(os.getcwd(), folder, '118.pdf'), dpi=300) plt.savefig(os.path.join(os.getcwd(), folder, '118.png'), dpi=300) plt.show() def resultContourBestPartial(self, save=None, folder=None, limits = [7000, 11000, 500, 2000], zRange = None, colorMap = 'viridis', levels = 50): """ Contour plot of the best trajectories with the option to zoom Pay attention that the limits exist in the axis vectors """ print('Plotting best contour') # crop to the desired part of the data xMin = limits[0] xMax = limits[1] yMin = limits[2] yMax = limits[3] xMinIndex = np.where(self.depDates == xMin) xMaxIndex = np.where(self.depDates == xMax) yMinIndex = np.where(self.tofs == yMin) yMaxIndex = np.where(self.tofs == yMax) plotDeltaVs = self.deltaVs[int(yMinIndex[0]):int(yMaxIndex[0]), int(xMinIndex[0]):int(xMaxIndex[0])] XdepDates, Ytofs = np.meshgrid( self.depDates[int(xMinIndex[0]):int(xMaxIndex[0])], self.tofs[int(yMinIndex[0]):int(yMaxIndex[0])]) # chose minimum DeltaV from different N # convert to km/s Vplot = np.amin(plotDeltaVs, axis=2)/1e3 # Cut off large and small values if zRange: print(zRange) Vplot[Vplot < zRange[0]] = zRange[0] Vplot[Vplot > zRange[1]] = zRange[1] plt.figure(figsize = (10, 5)) plotLast = plt.contourf(XdepDates, Ytofs , Vplot, levels, cmap=colorMap) cbar = plt.colorbar(extend='max') # format with arrow # cmap = mlt.colors.ListedColormap(['r', 'g', 'b', 'c']) # cmap.set_over('r') cbar.ax.set_ylabel('DeltaV [km/s]') plt.xlabel('Departure Date [julian days]') plt.ylabel('Time of flight [days]') plt.title('Minimum DeltaV') if save==None: save = self.save if folder==None: folder = self.folder if save==True: checkFolder(folder) plt.savefig(os.path.join(os.getcwd(), folder, 'bestDeltaVpartialContour.pdf'), dpi=300) plt.savefig(os.path.join(os.getcwd(), folder, 'bestDeltaVpartialContour.png'), dpi=300) # plt.tight_layout() plt.show() def resultSurfaces(self, save=None, folder=None): ''' Contour plots ofe time of flight and departure dates for each N ''' print('Plotting contour') yPlots = np.ceil(len(self.Ns)/2) xPlots = 2 XdepDates, Ytofs = np.meshgrid(self.depDates, self.tofs) fig = plt.figure(figsize = (20, 4*yPlots)) index = 0 for i in self.Ns: ax = plt.subplot(yPlots, xPlots, index+1, projection='3d') plot1 = ax.plot_surface(XdepDates, Ytofs, self.deltaVs[:, :, index]/1e3, cmap='viridis') plt.title('DeltaV for N =' + str(i)) ax.set_xlabel('Departure Date [julian days]') ax.set_ylabel('Time of flight [days]') ax.set_zlabel('DeltaV [km/s]'); index += 1 if save==None: save = self.save if folder==None: folder = self.folder if save==True: checkFolder(folder) plt.savefig(os.path.join(os.getcwd(), folder, 'DeltaVsurfaces.pdf'), dpi=300) plt.savefig(os.path.join(os.getcwd(), folder, 'DeltaVsurfaces.png'), dpi=300) plt.tight_layout() plt.show() def resultSurfaceBest(self, save=None, folder=None): """ Contour plot of the best trajectories """ print('Plotting best contour') levels = 50 XdepDates, Ytofs = np.meshgrid(self.depDates, self.tofs) fig = plt.figure(figsize = (10, 5)) ax = fig.gca(projection='3d') plotLast = ax.plot_surface(XdepDates, Ytofs , np.amin(self.deltaVs, axis=2)/1e3, cmap='viridis') m = mlt.cm.ScalarMappable(cmap=plotLast.cmap, norm=plotLast.norm) m.set_array(np.amin(self.deltaVs, axis=2)/1e3) plt.colorbar(m) # ax.set_zlim(0, 200) ax.set_xlabel('Departure Date [julian days]') ax.set_ylabel('Time of flight [days]') ax.set_zlabel('DeltaV [km/s]'); plt.title('Minimum DeltaV') if save==None: save = self.save if folder==None: folder = self.folder if save==True: checkFolder(folder) plt.savefig(os.path.join(os.getcwd(), folder, 'bestDeltaVsurface.pdf'), dpi=300) plt.savefig(os.path.join(os.getcwd(), folder, 'bestDeltaVsurface.png'), dpi=300) plt.show() def resultImshowBest(self, save=None, folder=None, maxVal=None): """ Plot the best trajectories as an image """ print('Plotting best imshow') plotDeltaV = self.deltaVs/1e3 if maxVal: plotDeltaV[plotDeltaV > maxVal] = np.nan # plt.figure(figsize = (10, 5)) newFigure(height=3.5, half=False, target='paper') plotLast = plt.imshow(np.nanmin(plotDeltaV, axis=2), origin='lower', extent=[self.depDates[0], self.depDates[-1], self.tofs[0], self.tofs[-1]], aspect='auto') cbar = plt.colorbar() cbar.ax.set_ylabel('DeltaV [km/s]') plt.xlabel('Departure Date [mjd2000]') plt.ylabel('Time of flight [days]') # plt.title('Minimum DeltaV') plt.tight_layout() if save==None: save = self.save if folder==None: folder = self.folder if save==True: checkFolder(folder) plt.savefig(os.path.join(os.getcwd(), folder, 'bestDeltaVimshow.pdf'), dpi=300) plt.savefig(os.path.join(os.getcwd(), folder, 'bestDeltaVimshow.png'), dpi=300) # plt.tight_layout() if self.show == True: plt.show() def resultImshowBestPartial(self, save=None, folder=None, limits = [7000, 11000, 500, 2000]): """ Plot the best trajectories as an image with the option to zoom """ print('Plotting best imshow') # crop to the desired part of the data xMin = limits[0] xMax = limits[1] yMin = limits[2] yMax = limits[3] xMinIndex = np.where(self.depDates == xMin) xMaxIndex = np.where(self.depDates == xMax) yMinIndex = np.where(self.tofs == yMin) yMaxIndex = np.where(self.tofs == yMax) plotDeltaVs = self.deltaVs[int(yMinIndex[0]):int(yMaxIndex[0]), int(xMinIndex[0]):int(xMaxIndex[0])] # create figure plt.figure(figsize = (10, 5)) plotLast = plt.imshow(np.amin(plotDeltaVs, axis=2)/1e3, origin='lower', extent=[xMin, xMax, yMin, yMax], aspect = 'auto') cbar = plt.colorbar() cbar.ax.set_ylabel('DeltaV [km/s]') plt.xlabel('Departure Date [julian days]') plt.ylabel('Time of flight [days]') plt.title('Minimum DeltaV') if save==None: save = self.save if folder==None: folder = self.folder if save==True: checkFolder(folder) plt.savefig(os.path.join(os.getcwd(), folder, 'bestDeltaVimshow.pdf'), dpi=300) plt.savefig(os.path.join(os.getcwd(), folder, 'bestDeltaVimshow.png'), dpi=300) # plt.tight_layout() plt.show()

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18,684

558

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33.483871

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0.089917

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0.038356

0

null

0

1

0

1

0

null

0

7

ac35281e50a2964b007f38c7ed26dbc754b76275

109

py

Python

robot-runner/Plugins/Systems/TurtleBot3/modules/utilties/Utilities.py

engelhamer/robot-runner

468ffe8130ec4c4a880c21e4119407738c0d3082

[ "MIT" ]

21

2020-11-30T12:21:18.000Z

2021-12-24T06:16:46.000Z

robot-runner/Plugins/Systems/TurtleBot3/modules/utilties/Utilities.py

engelhamer/robot-runner

468ffe8130ec4c4a880c21e4119407738c0d3082

[ "MIT" ]

null

robot-runner/Plugins/Systems/TurtleBot3/modules/utilties/Utilities.py

engelhamer/robot-runner

468ffe8130ec4c4a880c21e4119407738c0d3082

[ "MIT" ]

3

2021-04-11T14:41:54.000Z

2021-06-09T11:07:17.000Z

import math def rotation_is_close(target, yaw) -> bool: return math.isclose(target, yaw, abs_tol=10**-2)

27.25

52

0.724771

18

109

4.222222

0.833333

0.236842

0

0.031915

0.137615

109

4

52

27.25

0.776596

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1

0.333333

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1

0

null

0

1

0

1

0

7

ac61a410c96856d73d552c60f340bb7f85fedc1f

3,914

py

Python

home/models.py

Amaranthos/jhcom

551b2eccbeadee0fb6b9c06e10da71af80776ed8

[ "MIT" ]

null

home/models.py

Amaranthos/jhcom

551b2eccbeadee0fb6b9c06e10da71af80776ed8

[ "MIT" ]

null

home/models.py

Amaranthos/jhcom

551b2eccbeadee0fb6b9c06e10da71af80776ed8

[ "MIT" ]

null

from django.db import models from django.db.models import permalink class Game(models.Model): title = models.CharField(max_length=50, unique=True) slug = models.SlugField(max_length=50, unique=True) video = models.URLField() thumbnail = models.ImageField(upload_to = 'home/img/games/thumbnails/') description = models.TextField() contributors = models.ManyToManyField('home.Contributor', blank=True) links = models.ManyToManyField('home.Link', blank=True) posted = models.DateField(auto_now_add=True) def __str__(self): return self.title; @permalink def get_absolute_url(self): return ('game', None, {'slug':self.slug, 'id':self.id,}) class Meta: verbose_name = "Game" verbose_name_plural = "Games" class App(models.Model): title = models.CharField(max_length=50, unique=True) slug = models.SlugField(max_length=50, unique=True) video = models.URLField() thumbnail = models.ImageField(upload_to = 'home/img/apps/thumbnails/') description = models.TextField() contributors = models.ManyToManyField('home.Contributor', blank=True) links = models.ManyToManyField('home.Link', blank=True) posted = models.DateField(auto_now_add=True) def __str__(self): return self.title; @permalink def get_absolute_url(self): return ('app', None, {'slug':self.slug, 'id':self.id,}) class Meta: verbose_name = "App" verbose_name_plural = "Apps" class Tool(models.Model): title = models.CharField(max_length=50, unique=True) slug = models.SlugField(max_length=50, unique=True) video = models.URLField() thumbnail = models.ImageField(upload_to = 'home/img/tools/thumbnails/') description = models.TextField() contributors = models.ManyToManyField('home.Contributor', blank=True) links = models.ManyToManyField('home.Link', blank=True) posted = models.DateField(auto_now_add=True) def __str__(self): return self.title; @permalink def get_absolute_url(self): return ('tool', None, {'slug':self.slug, 'id':self.id,}) class Meta: verbose_name = "Tool" verbose_name_plural = "Tools" class Library(models.Model): title = models.CharField(max_length=50, unique=True) slug = models.SlugField(max_length=50, unique=True) thumbnail = models.ImageField(upload_to = 'home/img/libraries/thumbnails/') description = models.TextField() contributors = models.ManyToManyField('home.Contributor', blank=True) links = models.ManyToManyField('home.Link', blank=True) posted = models.DateField(auto_now_add=True) def __str__(self): return self.title; @permalink def get_absolute_url(self): return ('library', None, {'slug':self.slug, 'id':self.id,}) class Meta: verbose_name = "Library" verbose_name_plural = "Libraries" class Website(models.Model): title = models.CharField(max_length=50, unique=True) thumbnail = models.ImageField(upload_to = 'home/img/sites/thumbnails/') link = models.URLField() def __str__(self): return self.title; class Meta: verbose_name = "Site" verbose_name_plural = "Sites" class Art(models.Model): title = models.CharField(max_length=50, unique=True) def __str__(self): return self.title; class Meta: verbose_name = "Art" verbose_name_plural = "Art" class Tutorial(models.Model): title = models.CharField(max_length=50, unique=True) slug = models.SlugField(max_length=50, unique=True) posted = models.DateField(auto_now_add=True) def __str__(self): return self.title; class Meta: verbose_name = "Tutorial" verbose_name_plural = "Tutorials" class Contributor(models.Model): name = models.CharField(max_length=50, unique=True) link = models.URLField() def __str__(self): return self.name class Meta: verbose_name = "Contributor" verbose_name_plural = "Contributors" class Link(models.Model): name = models.CharField(max_length=50, unique=True) link = models.URLField() def __str__(self): return self.name class Meta: verbose_name = "Link" verbose_name_plural = "Links"

27.56338

76

0.742463

520

3,914

5.396154

0.126923

0.070563

0.054882

0.084818

0.833571

0.827156

0

0.008166

0.123914

3,914

142

77

27.56338

0.810149

0

0.654545

0

0.097063

0.033972

0

1

0.118182

false

0

0.018182

0.118182

0.8

0

null

0

1

0

null

0

1

0

8

ac7a63b286c6c889dae56b1300b629d2e00ad4e1

6,886

py

Python

functional_tests/test_registration_page.py

HelloMelanieC/FiveUp

ab97d311f163b09146fe330e4360d8e75d769f95

[ "MIT" ]

12

2017-09-10T01:43:42.000Z

2020-09-20T01:17:20.000Z

functional_tests/test_registration_page.py

HelloMelanieC/FiveUp

ab97d311f163b09146fe330e4360d8e75d769f95

[ "MIT" ]

22

2016-12-26T21:46:10.000Z

2022-02-10T08:01:52.000Z

functional_tests/test_registration_page.py

HelloMelanieC/FiveUp

ab97d311f163b09146fe330e4360d8e75d769f95

[ "MIT" ]

4

2017-08-24T16:01:37.000Z

2019-02-14T23:50:17.000Z

from django.core import mail from fuauth.models import User from .utils import SeleniumTestCase class LoginTest(SeleniumTestCase): def test_registration_should_create_a_user(self): """ We'll start with no users, register someone, and then end up with one user. """ assert User.objects.all().count() == 0 with self.wait_for_page_load(): self.browser.get(self.live_server_url + "/") self.browser.find_element_by_name("name").send_keys("Melanie") self.browser.find_element_by_name("email").send_keys("test@gmailzzz.com") self.browser.find_element_by_name("phone_number").send_keys("6192222222") carrier_dropdown = self.browser.find_element_by_name("carrier") carrier_dropdown.find_element_by_css_selector("option[value='pixmbl.com']").click() tz = self.browser.find_element_by_name("user_timezone") tz.find_element_by_css_selector("option[value='PC']").click() self.browser.find_element_by_name("password").send_keys("testpants") with self.wait_for_page_load(): self.browser.find_element_by_css_selector("*[type=submit]").click() text = self.browser.find_element_by_tag_name("body").text assert "Want some more happy?" in text melanie = User.objects.all()[0] assert melanie.name == "Melanie" assert melanie.email == "test@gmailzzz.com" assert melanie.phone_number == "6192222222" assert melanie.carrier == "pixmbl.com" assert melanie.user_timezone == "PC" def test_registration_sends_confirmation_text(self): """ A successful registration should trigger a welcome text. """ with self.wait_for_page_load(): self.browser.get(self.live_server_url + "/") self.browser.find_element_by_name("name").send_keys("Melanie") self.browser.find_element_by_name("email").send_keys("test@gmailzzz.com") self.browser.find_element_by_name("phone_number").send_keys("6192222222") carrier_dropdown = self.browser.find_element_by_name("carrier") carrier_dropdown.find_element_by_css_selector("option[value='pixmbl.com']").click() tz = self.browser.find_element_by_name("user_timezone") tz.find_element_by_css_selector("option[value='PC']").click() self.browser.find_element_by_name("password").send_keys("testpants") with self.wait_for_page_load(): self.browser.find_element_by_css_selector("*[type=submit]").click() assert len(mail.outbox) == 1 message = mail.outbox[0] assert ( "Hey there, partner! Hold on to your hat, because you're about to get lots of happy." in message.body ) assert message.from_email == "Five Up <app44043297@heroku.com>" assert message.to == [u"6192222222@pixmbl.com"] assert message.subject == "FiveUp" def test_registration_form_invalid_javascript(self): """ Test invalid email gives a warning message on screen. Done via javascript. """ with self.wait_for_page_load(): self.browser.get(self.live_server_url + "/") self.browser.find_element_by_name("name").send_keys("Melanie") self.browser.find_element_by_name("email").send_keys( "cass" ) # this isn't an email address! self.browser.find_element_by_name("phone_number").send_keys("6192222222") carrier_dropdown = self.browser.find_element_by_name("carrier") carrier_dropdown.find_element_by_css_selector("option[value='pixmbl.com']").click() tz = self.browser.find_element_by_name("user_timezone") tz.find_element_by_css_selector("option[value='PC']").click() self.browser.find_element_by_name("password").send_keys("testpants") # We don't wait on this click because the page won't actually refresh since # the work is being done in javascript self.browser.find_element_by_css_selector("*[type=submit]").click() text = self.browser.find_element_by_tag_name("body").text assert "Hmm. Is that a real email address? Try again." in text assert User.objects.all().count() == 0 def test_registration_form_invalid_server_side(self): """ Test that a django-specific email error will toss us to the fallback registration page. """ with self.wait_for_page_load(): self.browser.get(self.live_server_url + "/") self.browser.find_element_by_name("name").send_keys("Melanie") self.browser.find_element_by_name("email").send_keys( "a@b.c" ) # this isn't an email address! self.browser.find_element_by_name("phone_number").send_keys("6192222222") carrier_dropdown = self.browser.find_element_by_name("carrier") carrier_dropdown.find_element_by_css_selector("option[value='pixmbl.com']").click() tz = self.browser.find_element_by_name("user_timezone") tz.find_element_by_css_selector("option[value='PC']").click() self.browser.find_element_by_name("password").send_keys("testpants") with self.wait_for_page_load(): self.browser.find_element_by_css_selector("*[type=submit]").click() assert self.browser.current_url == self.live_server_url + "/register/" assert User.objects.all().count() == 0 def test_registration_with_get_method(self): """ A GET should give a blank registration form and you should be able to submit the form. """ assert User.objects.all().count() == 0 with self.wait_for_page_load(): self.browser.get(self.live_server_url + "/register/") self.browser.find_element_by_name("name").send_keys("Melanie") self.browser.find_element_by_name("email").send_keys("test@gmailzzz.com") self.browser.find_element_by_name("phone_number").send_keys("6192222222") carrier_dropdown = self.browser.find_element_by_name("carrier") carrier_dropdown.find_element_by_css_selector("option[value='pixmbl.com']").click() tz = self.browser.find_element_by_name("user_timezone") tz.find_element_by_css_selector("option[value='PC']").click() self.browser.find_element_by_name("password").send_keys("testpants") with self.wait_for_page_load(): self.browser.find_element_by_css_selector("*[type=submit]").click() text = self.browser.find_element_by_tag_name("body").text assert "Want some more happy?" in text melanie = User.objects.all()[0] assert melanie.name == "Melanie" assert melanie.email == "test@gmailzzz.com" assert melanie.phone_number == "6192222222" assert melanie.carrier == "pixmbl.com" assert melanie.user_timezone == "PC"

47.164384

97

0.674848

908

6,886

4.821586

0.169604

0.120603

0.142531

0.190955

0.788031

0.771128

0.750571

0

0.017483

0.202585

6,886

145

98

47.489655

0.779822

0.080163

0

0.759615

0

0.009615

0.17477

0.028267

0

0.221154

1

0.048077

false

0.048077

0.028846

0

0.086538

0

null

0

1

0

1

0

1

0

null

0

7

3bdcb601e6c1ee1fc52b4efa6ef3309a42b2e246

300

py

Python

halotools/mock_observables/pairwise_velocities/engines/__init__.py

pllim/halotools

6499cff09e7e0f169e4f425ee265403f6be816e8

[ "BSD-3-Clause" ]

83

2015-01-15T14:54:16.000Z

2021-12-09T11:28:02.000Z

halotools/mock_observables/pairwise_velocities/engines/__init__.py

pllim/halotools

6499cff09e7e0f169e4f425ee265403f6be816e8

[ "BSD-3-Clause" ]

579

2015-01-14T15:57:37.000Z

2022-01-13T18:58:44.000Z

halotools/mock_observables/pairwise_velocities/engines/__init__.py

pllim/halotools

6499cff09e7e0f169e4f425ee265403f6be816e8

[ "BSD-3-Clause" ]

70

2015-01-14T15:15:58.000Z

2021-12-22T18:18:31.000Z

from .velocity_marked_npairs_3d_engine import velocity_marked_npairs_3d_engine from .velocity_marked_npairs_xy_z_engine import velocity_marked_npairs_xy_z_engine from .mean_radial_velocity_vs_r_engine import mean_radial_velocity_vs_r_engine from .radial_pvd_vs_r_engine import radial_pvd_vs_r_engine

60

82

0.933333

52

300

4.692308

0.269231

0.229508

0.327869

0.196721

0.885246

0.459016

0

0.007042

0.053333

300

4

83

75

0.852113

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

3bedd08678af9bcc5758a1bbd6525517c10d42da

604

py

Python

generated_code_examples/python/classification/linear.py

bcampbell-prosper/m2cgen

cc049fe5cd7060c2f0cd5a0331e3aa85fac2a336

[ "MIT" ]

3

2021-06-29T02:43:40.000Z

2022-03-28T07:41:59.000Z

generated_code_examples/python/classification/linear.py

arshamg/m2cgen

0769fe0bb25e2bd7dd82062265d8a9a5989f089f

[ "MIT" ]

null

generated_code_examples/python/classification/linear.py

arshamg/m2cgen

0769fe0bb25e2bd7dd82062265d8a9a5989f089f

[ "MIT" ]

3

2021-08-06T07:51:37.000Z

2022-03-28T07:41:42.000Z

import numpy as np def score(input): return np.asarray([((((0.26145874358806076) + ((input[0]) * (0.4247411605356963))) + ((input[1]) * (1.3963906033045022))) + ((input[2]) * (-2.215054318516674))) + ((input[3]) * (-0.9587396176450291)), ((((1.1348839223808753) + ((input[0]) * (0.25679659769994584))) + ((input[1]) * (-1.3904789369835584))) + ((input[2]) * (0.5966830233112762))) + ((input[3]) * (-1.269002272638834)), ((((-1.216280201256021) + ((input[0]) * (-1.635776698917701))) + ((input[1]) * (-1.504063872842283))) + ((input[2]) * (2.4278359331292623))) + ((input[3]) * (2.346931069336734))])

151

566

0.60596

64

604

5.71875

0.4375

0.04918

0.057377

0

0.48524

0.102649

604

3

567

201.333333

0.190037

0

1

0.333333

false

0

0.333333

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

7

ce01bb5b3c7e3400facb70a11d599bc2bb8995cd

45,149

py

Python

tests/product_advertising_api/data.py

gomberg5264/django-amazon-price-monitor

c45d9f48a5bf429bfe696fcd9fc3f41f388bac2d

[ "MIT" ]

150

2015-03-17T19:27:46.000Z

2022-02-04T10:03:26.000Z

tests/product_advertising_api/data.py

rozifus/django-amazon-price-monitor

c45d9f48a5bf429bfe696fcd9fc3f41f388bac2d

[ "MIT" ]

81

2015-01-28T16:42:49.000Z

2018-10-07T11:48:19.000Z

tests/product_advertising_api/data.py

rozifus/django-amazon-price-monitor

c45d9f48a5bf429bfe696fcd9fc3f41f388bac2d

[ "MIT" ]

41

2015-02-10T20:34:14.000Z

2021-11-01T06:51:26.000Z

product_sample_lookup_fail = """ <?xml version="1.0" ?> <itemlookupresponse xmlns="http://webservices.amazon.com/AWSECommerceService/2011-08-01"> <items> <request> <isvalid>False</isvalid> <itemlookuprequest> <idtype>ASIN</idtype> <itemid>DEMOASIN01</itemid> <responsegroup>Large</responsegroup> <variationpage>All</variationpage> </itemlookuprequest> </request> </items> </itemlookupresponse> """ product_sample_no_item = """ <?xml version="1.0" ?> <itemlookupresponse xmlns="http://webservices.amazon.com/AWSECommerceService/2011-08-01"> <items> <request> <isvalid>True</isvalid> <itemlookuprequest> <idtype>ASIN</idtype> <itemid>DEMOASIN02</itemid> <responsegroup>Large</responsegroup> <variationpage>All</variationpage> </itemlookuprequest> </request> </items> </itemlookupresponse> """ product_sample_ok = """ <?xml version="1.0" ?> <itemlookupresponse xmlns="http://webservices.amazon.com/AWSECommerceService/2011-08-01"> <items> <request> <isvalid>True</isvalid> <itemlookuprequest> <idtype>ASIN</idtype> <itemid>DEMOASIN03</itemid> <responsegroup>Large</responsegroup> <variationpage>All</variationpage> </itemlookuprequest> </request> <item> <asin>DEMOASIN03</asin> <itemattributes> <title>Demo Series - Season 2 [Blu-ray]</title> <binding>Blu-ray</binding> <publicationdate>2014-12-22</publicationdate> <releasedate>2014-12-22</releasedate> <audiencerating>Freigegeben ab 16 Jahren</audiencerating> </itemattributes> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN03IMAGE._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">59</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN03IMAGE._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">126</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN03IMAGE.jpg</url> <height units="pixels">500</height> <width units="pixels">393</width> </largeimage> <offers> <totaloffers>1</totaloffers> <offer> <offerlisting> <price> <amount>1799</amount> <currencycode>EUR</currencycode> <formattedprice>EUR 17,99</formattedprice> </price> </offerlisting> </offer> </offers> </item> </items> </itemlookupresponse> """ product_sample_no_images = """ <?xml version="1.0" ?> <itemlookupresponse xmlns="http://webservices.amazon.com/AWSECommerceService/2011-08-01"> <items> <request> <isvalid>True</isvalid> <itemlookuprequest> <idtype>ASIN</idtype> <itemid>DEMOASIN03</itemid> <responsegroup>Large</responsegroup> <variationpage>All</variationpage> </itemlookuprequest> </request> <item> <asin>DEMOASIN03</asin> <itemattributes> <title>Demo Series - Season 2 [Blu-ray]</title> <binding>Blu-ray</binding> <publicationdate>2014-12-22</publicationdate> <releasedate>2014-12-22</releasedate> <audiencerating>Freigegeben ab 16 Jahren</audiencerating> </itemattributes> <smallimage> </smallimage> <mediumimage> </mediumimage> <largeimage> </largeimage> <offers> <totaloffers>1</totaloffers> <offer> <offerlisting> <price> <amount>1799</amount> <currencycode>EUR</currencycode> <formattedprice>EUR 17,99</formattedprice> </price> </offerlisting> </offer> </offers> </item> </items> </itemlookupresponse> """ product_sample_no_price = """ <?xml version="1.0" ?> <itemlookupresponse xmlns="http://webservices.amazon.com/AWSECommerceService/2011-08-01"> <items> <request> <isvalid>True</isvalid> <itemlookuprequest> <idtype>ASIN</idtype> <itemid>DEMOASIN04</itemid> <responsegroup>Large</responsegroup> <variationpage>All</variationpage> </itemlookuprequest> </request> <item> <asin>DEMOASIN04</asin> <itemattributes> <title>Another Demo Series - Season 1 (8 DVDs)</title> <binding>DVD</binding> <publicationdate>2004-11</publicationdate> <releasedate>2004-10-27</releasedate> <audiencerating>Freigegeben ab 16 Jahren</audiencerating> </itemattributes> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN04IMAGE._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">59</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN04IMAGE._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">126</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN04IMAGE.jpg</url> <height units="pixels">500</height> <width units="pixels">393</width> </largeimage> <offers> <totaloffers>0</totaloffers> <totalofferpages>0</totalofferpages> <moreoffersurl>0</moreoffersurl> </offers> </item> </items> </itemlookupresponse> """ product_sample_no_audience_rating = """ <?xml version="1.0" ?> <itemlookupresponse xmlns="http://webservices.amazon.com/AWSECommerceService/2011-08-01"> <items> <request> <isvalid>True</isvalid> <itemlookuprequest> <idtype>ASIN</idtype> <itemid>123456789X</itemid> <responsegroup>Large</responsegroup> <variationpage>All</variationpage> </itemlookuprequest> </request> <item> <asin>123456789X</asin> <itemattributes> <title>A Sample Book</title> <binding>Taschenbuch</binding> <publicationdate>2014-08-18</publicationdate> <releasedate>2014-08-18</releasedate> <ean>9876543219876</ean> <eanlist> <eanlistelement>9876543219876</eanlistelement> </eanlist> <isbn>123456789X</isbn> </itemattributes> <smallimage> <url>http://ecx.images-amazon.com/images/I/123456789XIMAGE._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">59</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/123456789XIMAGE._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">126</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/123456789XIMAGE.jpg</url> <height units="pixels">500</height> <width units="pixels">393</width> </largeimage> <offers> <totaloffers>1</totaloffers> <totalofferpages>1</totalofferpages> <offer> <offerattributes> <condition>New</condition> </offerattributes> <offerlisting> <offerlistingid>SAMPLEOFFERLISTINGID</offerlistingid> <price> <amount>1000</amount> <currencycode>EUR</currencycode> <formattedprice>EUR 10,00</formattedprice> </price> <availability>Gewöhnlich versandfertig in 24 Stunden</availability> <availabilityattributes> <availabilitytype>now</availabilitytype> <minimumhours>0</minimumhours> <maximumhours>0</maximumhours> </availabilityattributes> <iseligibleforsupersavershipping>1</iseligibleforsupersavershipping> </offerlisting> </offer> </offers> </item> </items> </itemlookupresponse> """ product_sample_no_offers = """ <?xml version="1.0" ?> <itemlookupresponse xmlns="http://webservices.amazon.com/AWSECommerceService/2011-08-01"> <items> <request> <isvalid>True</isvalid> <itemlookuprequest> <idtype>ASIN</idtype> <itemid>DEMOASIN05</itemid> <responsegroup>Large</responsegroup> <variationpage>All</variationpage> </itemlookuprequest> </request> <item> <asin>DEMOASIN05</asin> <itemattributes> <title>Sønderzeichen</title> <binding>Kindle Edition</binding> <publicationdate>2009-10-14</publicationdate> <releasedate>2009-10-14</releasedate> </itemattributes> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN05IMAGE._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">59</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN05IMAGE._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">126</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN05IMAGE.jpg</url> <height units="pixels">500</height> <width units="pixels">393</width> </largeimage> </item> </items> </itemlookupresponse> """ product_sample_10_products = """ <html> <body> <itemlookupresponse xmlns="http://webservices.amazon.com/AWSECommerceService/2011-08-01"> <items> <request> <isvalid>True</isvalid> <itemlookuprequest> <idtype>ASIN</idtype> <itemid>DEMOASIN06</itemid> <itemid>DEMOASIN07</itemid> <itemid>DEMOASIN08</itemid> <itemid>DEMOASIN09</itemid> <itemid>DEMOASIN10</itemid> <itemid>DEMOASIN11</itemid> <itemid>DEMOASIN12</itemid> <itemid>DEMOASIN13</itemid> <itemid>DEMOASIN14</itemid> <itemid>DEMOASIN15</itemid> <responsegroup>Large</responsegroup> <variationpage>All</variationpage> </itemlookuprequest> </request> <item> <asin>DEMOASIN06</asin> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN06._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">53</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN06._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">113</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN06.jpg</url> <height units="pixels">500</height> <width units="pixels">354</width> </largeimage> <itemattributes> <audiencerating>Freigegeben ab 12 Jahren</audiencerating> <binding>DVD</binding> <publicationdate>2012-10-05</publicationdate> <releasedate>2008-11-07</releasedate> <title>Hot Shots! - Teil 1 + Teil 2 [2 DVDs]</title> </itemattributes> <offers> <totaloffers>1</totaloffers> <offer> <offerlisting> <price> <amount>799</amount> <currencycode>EUR</currencycode> </price> </offerlisting> </offer> </offers> </item> <item> <asin>DEMOASIN07</asin> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN07._SL75_.jpg</url> <height units="pixels">74</height> <width units="pixels">75</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN07._SL160_.jpg</url> <height units="pixels">159</height> <width units="pixels">160</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN07.jpg</url> <height units="pixels">496</height> <width units="pixels">500</width> </largeimage> <itemattributes> <binding>Audio CD</binding> <releasedate>2004-06-14</releasedate> <title>Greatest Hits</title> </itemattributes> <offers> <totaloffers>1</totaloffers> <offer> <offerlisting> <price> <amount>740</amount> <currencycode>EUR</currencycode> </price> </offerlisting> </offer> </offers> </item> <item> <asin>DEMOASIN08</asin> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN08._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">75</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN08._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">160</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN08.jpg</url> <height units="pixels">500</height> <width units="pixels">500</width> </largeimage> <itemattributes> <binding>Audio CD</binding> <publicationdate>2004-07-19</publicationdate> <releasedate>2004-07-19</releasedate> <title>Tyrannosaurus Hives</title> </itemattributes> <offers> <totaloffers>1</totaloffers> <offer> <offerlisting> <price> <amount>699</amount> <currencycode>EUR</currencycode> </price> </offerlisting> </offer> </offers> </item> <item> <asin>DEMOASIN09</asin> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN09._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">53</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN09._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">113</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN09.jpg</url> <height units="pixels">475</height> <width units="pixels">336</width> </largeimage> <itemattributes> <audiencerating>Freigegeben ab 6 Jahren</audiencerating> <binding>DVD</binding> <releasedate>2004-08-01</releasedate> <title>Moonlight & Valentino</title> </itemattributes> <offers> <totaloffers>1</totaloffers> <offer> <offerlisting> <price> <amount>2297</amount> <currencycode>EUR</currencycode> </price> </offerlisting> </offer> </offers> </item> <item> <asin>DEMOASIN10</asin> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN10._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">56</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN10._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">120</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN10.jpg</url> <height units="pixels">475</height> <width units="pixels">356</width> </largeimage> <itemattributes> <audiencerating>Freigegeben ab 16 Jahren</audiencerating> <binding>DVD</binding> <releasedate>2004-09-07</releasedate> <title>Jeepers Creepers 1 & 2 [Deluxe Edition] [4 DVDs]</title> </itemattributes> <offers> <totaloffers>1</totaloffers> <offer> <offerlisting> <price> <amount>1549</amount> <currencycode>EUR</currencycode> </price> </offerlisting> </offer> </offers> </item> <item> <asin>DEMOASIN11</asin> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN11._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">75</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN11._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">160</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN11.jpg</url> <height units="pixels">500</height> <width units="pixels">500</width> </largeimage> <itemattributes> <binding>Audio CD</binding> <publicationdate>2004-10-05</publicationdate> <releasedate>2004-09-13</releasedate> <title>Wintersun</title> </itemattributes> <offers> <totaloffers>1</totaloffers> <offer> <offerlisting> <price> <amount>2199</amount> <currencycode>EUR</currencycode> </price> </offerlisting> </offer> </offers> </item> <item> <asin>DEMOASIN12</asin> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN12._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">56</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN12._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">120</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN12.jpg</url> <height units="pixels">475</height> <width units="pixels">356</width> </largeimage> <itemattributes> <audiencerating>Freigegeben ab 16 Jahren</audiencerating> <binding>DVD</binding> <publicationdate>2004-11</publicationdate> <releasedate>2004-10-27</releasedate> <title>Farscape - Season 1 (8 DVDs)</title> </itemattributes> <offers> <totaloffers>1</totaloffers> <offer> <offerlisting> <price> <amount>5999</amount> <currencycode>EUR</currencycode> </price> </offerlisting> </offer> </offers> </item> <item> <asin>DEMOASIN13</asin> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN13._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">75</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN13._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">160</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN13.jpg</url> <height units="pixels">500</height> <width units="pixels">500</width> </largeimage> <itemattributes> <audiencerating>Freigegeben ohne Altersbeschränkung</audiencerating> <binding>Audio CD</binding> <releasedate>2005-01-21</releasedate> <title>Hurricane Bar</title> </itemattributes> <offers> <totaloffers>1</totaloffers> <offer> <offerlisting> <price> <amount>499</amount> <currencycode>EUR</currencycode> </price> </offerlisting> </offer> </offers> </item> <item> <asin>DEMOASIN14</asin> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN14._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">75</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN14._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">160</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN14.jpg</url> <height units="pixels">500</height> <width units="pixels">500</width> </largeimage> <itemattributes> <binding>Audio CD</binding> <releasedate>2007-01-02</releasedate> <title>Silent Alarm</title> </itemattributes> <offers> <totaloffers>1</totaloffers> <offer> <offerlisting> <price> <amount>1186</amount> <currencycode>EUR</currencycode> </price> </offerlisting> </offer> </offers> </item> <item> <asin>DEMOASIN15</asin> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN15._SL75_.jpg</url> <height units="pixels">67</height> <width units="pixels">75</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN15._SL160_.jpg</url> <height units="pixels">144</height> <width units="pixels">160</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN15.jpg</url> <height units="pixels">449</height> <width units="pixels">500</width> </largeimage> <itemattributes> <binding>Audio CD</binding> <publicationdate>2005</publicationdate> <releasedate>2005-02-07</releasedate> <title>Greatest Hits</title> </itemattributes> <offers> <totaloffers>1</totaloffers> <offer> <offerlisting> <price> <amount>899</amount> <currencycode>EUR</currencycode> </price> </offerlisting> </offer> </offers> </item> </items> </itemlookupresponse> </body> </html> """ product_sample_3_products = """ <html> <body> <itemlookupresponse xmlns="http://webservices.amazon.com/AWSECommerceService/2011-08-01"> <items> <request> <isvalid>True</isvalid> <itemlookuprequest> <idtype>ASIN</idtype> <itemid>DEMOASIN16</itemid> <itemid>DEMOASIN17</itemid> <itemid>DEMOASIN18</itemid> <responsegroup>Large</responsegroup> <variationpage>All</variationpage> </itemlookuprequest> </request> <item> <asin>DEMOASIN16</asin> <itemattributes> <title>Another Demo Series - Season 1 (8 DVDs)</title> <binding>DVD</binding> <publicationdate>2004-11</publicationdate> <releasedate>2004-10-27</releasedate> <audiencerating>Freigegeben ab 16 Jahren</audiencerating> </itemattributes> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN16._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">59</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN16._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">126</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN16.jpg</url> <height units="pixels">500</height> <width units="pixels">393</width> </largeimage> <offers> <totaloffers>0</totaloffers> <totalofferpages>0</totalofferpages> <moreoffersurl>0</moreoffersurl> </offers> </item> <item> <asin>DEMOASIN17</asin> <itemattributes> <title>A Sample Book</title> <binding>Taschenbuch</binding> <publicationdate>2014-08-18</publicationdate> <releasedate>2014-08-18</releasedate> <ean>9876543219876</ean> <eanlist> <eanlistelement>9876543219876</eanlistelement> </eanlist> <isbn>123456789X</isbn> </itemattributes> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN17._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">59</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN17._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">126</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN17.jpg</url> <height units="pixels">500</height> <width units="pixels">393</width> </largeimage> <offers> <totaloffers>1</totaloffers> <totalofferpages>1</totalofferpages> <offer> <offerattributes> <condition>New</condition> </offerattributes> <offerlisting> <offerlistingid>SAMPLEOFFERLISTINGID</offerlistingid> <price> <amount>1000</amount> <currencycode>EUR</currencycode> <formattedprice>EUR 10,00</formattedprice> </price> <availability>Gewöhnlich versandfertig in 24 Stunden</availability> <availabilityattributes> <availabilitytype>now</availabilitytype> <minimumhours>0</minimumhours> <maximumhours>0</maximumhours> </availabilityattributes> <iseligibleforsupersavershipping>1</iseligibleforsupersavershipping> </offerlisting> </offer> </offers> </item> <item> <asin>DEMOASIN18</asin> <itemattributes> <title>Sønderzeichen</title> <binding>Kindle Edition</binding> <publicationdate>2009-10-14</publicationdate> <releasedate>2009-10-14</releasedate> </itemattributes> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN18._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">59</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN18._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">126</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN18.jpg</url> <height units="pixels">500</height> <width units="pixels">393</width> </largeimage> </item> </items> </itemlookupresponse> </body> </html> """ product_sample_with_artist = """ <itemlookupresponse xmlns="http://webservices.amazon.com/AWSECommerceService/2011-08-01"> <items> <request> <isvalid>True</isvalid> <itemlookuprequest> <idtype>ASIN</idtype> <itemid>DEMOASIN19</itemid> <responsegroup>Large</responsegroup> <variationpage>All</variationpage> </itemlookuprequest> </request> <item> <asin>DEMOASIN19</asin> <smallimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN19._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">75</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN19._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">160</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/DEMOASIN19.jpg</url> <height units="pixels">500</height> <width units="pixels">500</width> </largeimage> <itemattributes> <artist>The Artist</artist> <binding>Audio CD</binding> <brand>SOME BRAND</brand> <feature>CD Album</feature> <feature>herausgegeben 2015 in Europa von SOME BRAND (SOMEBRAND123)</feature> <feature>Musikstil: Rock / Alternative Rock</feature> <format>CD</format> <itemdimensions> <height units="hundredths-inches">50</height> <length units="hundredths-inches">500</length> <width units="hundredths-inches">550</width> </itemdimensions> <label>SOME BRAND (SOME COMPANY)</label> <languages> <language> <name>Englisch</name> <type>Unbekannt</type> </language> </languages> <manufacturer>SOME BRAND (SOME COMPANY)</manufacturer> <mpn>SBR1234567</mpn> <numberofdiscs>1</numberofdiscs> <numberofitems>1</numberofitems> <packagedimensions> <height units="hundredths-inches">31</height> <length units="hundredths-inches">551</length> <weight units="hundredths-pounds">18</weight> <width units="hundredths-inches">512</width> </packagedimensions> <packagequantity>1</packagequantity> <partnumber>SBR1234567</partnumber> <productgroup>Music</productgroup> <producttypename>SOME BRAND (SOME COMPANY)</producttypename> <publicationdate>2015</publicationdate> <publisher>SOME BRAND (SOME COMPANY)</publisher> <releasedate>2015-02-27</releasedate> <studio>SOME BRAND (SOME COMPANY)</studio> <title>The CD Title</title> <upc>1234567879012</upc> <upclist> <upclistelement>1234567879012</upclistelement> </upclist> </itemattributes> <offersummary> <lowestnewprice> <amount>747</amount> <currencycode>EUR</currencycode> <formattedprice>EUR 7,47</formattedprice> </lowestnewprice> <lowestusedprice> <amount>901</amount> <currencycode>EUR</currencycode> <formattedprice>EUR 9,01</formattedprice> </lowestusedprice> <totalnew>94</totalnew> <totalused>3</totalused> <totalcollectible>0</totalcollectible> <totalrefurbished>0</totalrefurbished> </offersummary> <offers> <totaloffers>1</totaloffers> <totalofferpages>1</totalofferpages> <offer> <offerattributes> <condition>New</condition> </offerattributes> <offerlisting> <offerlistingid>SAMPELOFFERLISTINGID</offerlistingid> <price> <amount>1299</amount> <currencycode>EUR</currencycode> <formattedprice>EUR 12,99</formattedprice> </price> <availability>Gewöhnlich versandfertig in 24 Stunden</availability> <availabilityattributes> <availabilitytype>now</availabilitytype> <minimumhours>0</minimumhours> <maximumhours>0</maximumhours> </availabilityattributes> <iseligibleforsupersavershipping>1</iseligibleforsupersavershipping> <iseligibleforprime>1</iseligibleforprime> </offerlisting> </offer> </offers> <tracks> <disc number="1"> <track number="1">Title 1</track> <track number="2">Title 2</track> <track number="3">Title 3</track> <track number="4">Title 4</track> <track number="5">Title 5</track> </disc> </tracks> </item> </items> </itemlookupresponse> """ # a product with an ISBN-13 in the ISBN-10 field, see issue https://github.com/ponyriders/django-amazon-price-monitor/issues/121 product_sample_isbn_issue = """ <itemlookupresponse xmlns="http://webservices.amazon.com/AWSECommerceService/2013-08-01"> <items> <request> <isvalid>True</isvalid> <itemlookuprequest> <idtype>ASIN</idtype> <itemid>TESTASIN20</itemid> <responsegroup>Large</responsegroup> <variationpage>All</variationpage> </itemlookuprequest> </request> <item> <asin>TESTASIN20</asin> <salesrank>2</salesrank> <smallimage> <url>http://ecx.images-amazon.com/images/I/TESTASIN20._SL75_.jpg</url> <height units="pixels">75</height> <width units="pixels">75</width> </smallimage> <mediumimage> <url>http://ecx.images-amazon.com/images/I/TESTASIN20._SL160_.jpg</url> <height units="pixels">160</height> <width units="pixels">160</width> </mediumimage> <largeimage> <url>http://ecx.images-amazon.com/images/I/TESTASIN20.jpg</url> <height units="pixels">500</height> <width units="pixels">500</width> </largeimage> <itemattributes> <actor>John Doe</actor> <actor>Jane Doe</actor> <aspectratio>2.39:1</aspectratio> <audiencerating>Freigegeben ab 16 Jahren</audiencerating> <binding>Blu-ray</binding> <brand>Test Distribution Company</brand> <creator role="Hauptdarsteller">John Doe</creator> <creator role="Hauptdarsteller">Jane Doe</creator> <director>John Director</director> <ean>1234567890123</ean> <eanlist> <eanlistelement>1234567890123</eanlistelement> </eanlist> <edition>Standard Edition</edition> <format>Letterboxed</format> <format>Widescreen</format> <isbn>1234567890123</isbn> <label>Test Label Company</label> <manufacturer>Test Manufacturer Company</manufacturer> <mpn>12345678</mpn> <numberofdiscs>2</numberofdiscs> <numberofitems>2</numberofitems> <packagedimensions> <height units="Hundertstel Zoll">39</height> <length units="Hundertstel Zoll">669</length> <weight units="Hundertstel Pfund">18</weight> <width units="Hundertstel Zoll">528</width> </packagedimensions> <partnumber>12345678</partnumber> <productgroup>DVD & Blu-ray</productgroup> <producttypename>ABIS_BOOK</producttypename> <publicationdate>2018-09-27</publicationdate> <publisher>Test Publisher Company</publisher> <regioncode>2</regioncode> <releasedate>2018-09-27</releasedate> <runningtime units="Minuten">119</runningtime> <studio>Test Studio Company</studio> <title>The ISDN Test Product</title> </itemattributes> </item> </items> </itemlookupresponse> """

44.969124

128

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ce069649137a900edaa68903afdbfb38aea17b74

39,716

py

Python

src/v5.1/resources/swagger_client/api/student_parent_associations_api.py

xmarcosx/edfi-notebook

0564ebdf1d0f45a9d25056e7e61369f0a837534d

[ "Apache-2.0" ]

2

2021-04-27T17:18:17.000Z

2021-04-27T19:14:39.000Z

src/v5.1/resources/swagger_client/api/student_parent_associations_api.py

xmarcosx/edfi-notebook

0564ebdf1d0f45a9d25056e7e61369f0a837534d

[ "Apache-2.0" ]

null

src/v5.1/resources/swagger_client/api/student_parent_associations_api.py

xmarcosx/edfi-notebook

0564ebdf1d0f45a9d25056e7e61369f0a837534d

[ "Apache-2.0" ]

1

2022-01-06T09:43:11.000Z

# coding: utf-8 """ Ed-Fi Operational Data Store API The Ed-Fi ODS / API enables applications to read and write education data stored in an Ed-Fi ODS through a secure REST interface. *** > *Note: Consumers of ODS / API information should sanitize all data for display and storage. The ODS / API provides reasonable safeguards against cross-site scripting attacks and other malicious content, but the platform does not and cannot guarantee that the data it contains is free of all potentially harmful content.* *** # noqa: E501 OpenAPI spec version: 3 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from swagger_client.api_client import ApiClient class StudentParentAssociationsApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def delete_student_parent_association_by_id(self, id, **kwargs): # noqa: E501 """Deletes an existing resource using the resource identifier. # noqa: E501 The DELETE operation is used to delete an existing resource by identifier. If the resource doesn't exist, an error will result (the resource will not be found). # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_student_parent_association_by_id(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: A resource identifier that uniquely identifies the resource. (required) :param str if_match: The ETag header value used to prevent the DELETE from removing a resource modified by another consumer. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_student_parent_association_by_id_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.delete_student_parent_association_by_id_with_http_info(id, **kwargs) # noqa: E501 return data def delete_student_parent_association_by_id_with_http_info(self, id, **kwargs): # noqa: E501 """Deletes an existing resource using the resource identifier. # noqa: E501 The DELETE operation is used to delete an existing resource by identifier. If the resource doesn't exist, an error will result (the resource will not be found). # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_student_parent_association_by_id_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: A resource identifier that uniquely identifies the resource. (required) :param str if_match: The ETag header value used to prevent the DELETE from removing a resource modified by another consumer. :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'if_match'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_student_parent_association_by_id" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `delete_student_parent_association_by_id`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} if 'if_match' in params: header_params['If-Match'] = params['if_match'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_client_credentials'] # noqa: E501 return self.api_client.call_api( '/ed-fi/studentParentAssociations/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def deletes_student_parent_associations(self, **kwargs): # noqa: E501 """Retrieves deleted resources based on change version. # noqa: E501 The DELETES operation is used to retrieve deleted resources. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.deletes_student_parent_associations(async_req=True) >>> result = thread.get() :param async_req bool :param int offset: Indicates how many items should be skipped before returning results. :param int limit: Indicates the maximum number of items that should be returned in the results. :param int min_change_version: Used in synchronization to set sequence minimum ChangeVersion :param int max_change_version: Used in synchronization to set sequence maximum ChangeVersion :return: list[EdFiStudentParentAssociation] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.deletes_student_parent_associations_with_http_info(**kwargs) # noqa: E501 else: (data) = self.deletes_student_parent_associations_with_http_info(**kwargs) # noqa: E501 return data def deletes_student_parent_associations_with_http_info(self, **kwargs): # noqa: E501 """Retrieves deleted resources based on change version. # noqa: E501 The DELETES operation is used to retrieve deleted resources. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.deletes_student_parent_associations_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int offset: Indicates how many items should be skipped before returning results. :param int limit: Indicates the maximum number of items that should be returned in the results. :param int min_change_version: Used in synchronization to set sequence minimum ChangeVersion :param int max_change_version: Used in synchronization to set sequence maximum ChangeVersion :return: list[EdFiStudentParentAssociation] If the method is called asynchronously, returns the request thread. """ all_params = ['offset', 'limit', 'min_change_version', 'max_change_version'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method deletes_student_parent_associations" % key ) params[key] = val del params['kwargs'] if self.api_client.client_side_validation and ('limit' in params and params['limit'] > 500): # noqa: E501 raise ValueError("Invalid value for parameter `limit` when calling `deletes_student_parent_associations`, must be a value less than or equal to `500`") # noqa: E501 if self.api_client.client_side_validation and ('limit' in params and params['limit'] < 0): # noqa: E501 raise ValueError("Invalid value for parameter `limit` when calling `deletes_student_parent_associations`, must be a value greater than or equal to `0`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'offset' in params: query_params.append(('offset', params['offset'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'min_change_version' in params: query_params.append(('minChangeVersion', params['min_change_version'])) # noqa: E501 if 'max_change_version' in params: query_params.append(('maxChangeVersion', params['max_change_version'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_client_credentials'] # noqa: E501 return self.api_client.call_api( '/ed-fi/studentParentAssociations/deletes', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[EdFiStudentParentAssociation]', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_student_parent_associations(self, **kwargs): # noqa: E501 """Retrieves specific resources using the resource's property values (using the \"Get\" pattern). # noqa: E501 This GET operation provides access to resources using the \"Get\" search pattern. The values of any properties of the resource that are specified will be used to return all matching results (if it exists). # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_student_parent_associations(async_req=True) >>> result = thread.get() :param async_req bool :param int offset: Indicates how many items should be skipped before returning results. :param int limit: Indicates the maximum number of items that should be returned in the results. :param int min_change_version: Used in synchronization to set sequence minimum ChangeVersion :param int max_change_version: Used in synchronization to set sequence maximum ChangeVersion :param bool total_count: Indicates if the total number of items available should be returned in the 'Total-Count' header of the response. If set to false, 'Total-Count' header will not be provided. :param str parent_unique_id: A unique alphanumeric code assigned to a parent. :param str student_unique_id: A unique alphanumeric code assigned to a student. :param str relation_descriptor: The nature of an individual's relationship to a student; for example: Father, Mother, Step Father, Step Mother, Foster Father, Foster Mother, Guardian, etc. :param int contact_priority: The numeric order of the preferred sequence or priority of contact. :param str contact_restrictions: Restrictions for student and/or teacher contact with the individual (e.g., the student may not be picked up by the individual). :param bool emergency_contact_status: Indicator of whether the person is a designated emergency contact for the Student. :param str id: :param bool lives_with: Indicator of whether the Student lives with the associated parent. :param bool primary_contact_status: Indicator of whether the person is a primary parental contact for the Student. :return: list[EdFiStudentParentAssociation] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_student_parent_associations_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_student_parent_associations_with_http_info(**kwargs) # noqa: E501 return data def get_student_parent_associations_with_http_info(self, **kwargs): # noqa: E501 """Retrieves specific resources using the resource's property values (using the \"Get\" pattern). # noqa: E501 This GET operation provides access to resources using the \"Get\" search pattern. The values of any properties of the resource that are specified will be used to return all matching results (if it exists). # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_student_parent_associations_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int offset: Indicates how many items should be skipped before returning results. :param int limit: Indicates the maximum number of items that should be returned in the results. :param int min_change_version: Used in synchronization to set sequence minimum ChangeVersion :param int max_change_version: Used in synchronization to set sequence maximum ChangeVersion :param bool total_count: Indicates if the total number of items available should be returned in the 'Total-Count' header of the response. If set to false, 'Total-Count' header will not be provided. :param str parent_unique_id: A unique alphanumeric code assigned to a parent. :param str student_unique_id: A unique alphanumeric code assigned to a student. :param str relation_descriptor: The nature of an individual's relationship to a student; for example: Father, Mother, Step Father, Step Mother, Foster Father, Foster Mother, Guardian, etc. :param int contact_priority: The numeric order of the preferred sequence or priority of contact. :param str contact_restrictions: Restrictions for student and/or teacher contact with the individual (e.g., the student may not be picked up by the individual). :param bool emergency_contact_status: Indicator of whether the person is a designated emergency contact for the Student. :param str id: :param bool lives_with: Indicator of whether the Student lives with the associated parent. :param bool primary_contact_status: Indicator of whether the person is a primary parental contact for the Student. :return: list[EdFiStudentParentAssociation] If the method is called asynchronously, returns the request thread. """ all_params = ['offset', 'limit', 'min_change_version', 'max_change_version', 'total_count', 'parent_unique_id', 'student_unique_id', 'relation_descriptor', 'contact_priority', 'contact_restrictions', 'emergency_contact_status', 'id', 'lives_with', 'primary_contact_status'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_student_parent_associations" % key ) params[key] = val del params['kwargs'] if self.api_client.client_side_validation and ('limit' in params and params['limit'] > 500): # noqa: E501 raise ValueError("Invalid value for parameter `limit` when calling `get_student_parent_associations`, must be a value less than or equal to `500`") # noqa: E501 if self.api_client.client_side_validation and ('limit' in params and params['limit'] < 0): # noqa: E501 raise ValueError("Invalid value for parameter `limit` when calling `get_student_parent_associations`, must be a value greater than or equal to `0`") # noqa: E501 if self.api_client.client_side_validation and ('parent_unique_id' in params and len(params['parent_unique_id']) > 32): raise ValueError("Invalid value for parameter `parent_unique_id` when calling `get_student_parent_associations`, length must be less than or equal to `32`") # noqa: E501 if self.api_client.client_side_validation and ('student_unique_id' in params and len(params['student_unique_id']) > 32): raise ValueError("Invalid value for parameter `student_unique_id` when calling `get_student_parent_associations`, length must be less than or equal to `32`") # noqa: E501 if self.api_client.client_side_validation and ('relation_descriptor' in params and len(params['relation_descriptor']) > 306): raise ValueError("Invalid value for parameter `relation_descriptor` when calling `get_student_parent_associations`, length must be less than or equal to `306`") # noqa: E501 if self.api_client.client_side_validation and ('contact_restrictions' in params and len(params['contact_restrictions']) > 250): raise ValueError("Invalid value for parameter `contact_restrictions` when calling `get_student_parent_associations`, length must be less than or equal to `250`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'offset' in params: query_params.append(('offset', params['offset'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'min_change_version' in params: query_params.append(('minChangeVersion', params['min_change_version'])) # noqa: E501 if 'max_change_version' in params: query_params.append(('maxChangeVersion', params['max_change_version'])) # noqa: E501 if 'total_count' in params: query_params.append(('totalCount', params['total_count'])) # noqa: E501 if 'parent_unique_id' in params: query_params.append(('parentUniqueId', params['parent_unique_id'])) # noqa: E501 if 'student_unique_id' in params: query_params.append(('studentUniqueId', params['student_unique_id'])) # noqa: E501 if 'relation_descriptor' in params: query_params.append(('relationDescriptor', params['relation_descriptor'])) # noqa: E501 if 'contact_priority' in params: query_params.append(('contactPriority', params['contact_priority'])) # noqa: E501 if 'contact_restrictions' in params: query_params.append(('contactRestrictions', params['contact_restrictions'])) # noqa: E501 if 'emergency_contact_status' in params: query_params.append(('emergencyContactStatus', params['emergency_contact_status'])) # noqa: E501 if 'id' in params: query_params.append(('id', params['id'])) # noqa: E501 if 'lives_with' in params: query_params.append(('livesWith', params['lives_with'])) # noqa: E501 if 'primary_contact_status' in params: query_params.append(('primaryContactStatus', params['primary_contact_status'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_client_credentials'] # noqa: E501 return self.api_client.call_api( '/ed-fi/studentParentAssociations', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[EdFiStudentParentAssociation]', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_student_parent_associations_by_id(self, id, **kwargs): # noqa: E501 """Retrieves a specific resource using the resource's identifier (using the \"Get By Id\" pattern). # noqa: E501 This GET operation retrieves a resource by the specified resource identifier. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_student_parent_associations_by_id(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: A resource identifier that uniquely identifies the resource. (required) :param str if_none_match: The previously returned ETag header value, used here to prevent the unnecessary data transfer of an unchanged resource. :return: EdFiStudentParentAssociation If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_student_parent_associations_by_id_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_student_parent_associations_by_id_with_http_info(id, **kwargs) # noqa: E501 return data def get_student_parent_associations_by_id_with_http_info(self, id, **kwargs): # noqa: E501 """Retrieves a specific resource using the resource's identifier (using the \"Get By Id\" pattern). # noqa: E501 This GET operation retrieves a resource by the specified resource identifier. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_student_parent_associations_by_id_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: A resource identifier that uniquely identifies the resource. (required) :param str if_none_match: The previously returned ETag header value, used here to prevent the unnecessary data transfer of an unchanged resource. :return: EdFiStudentParentAssociation If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'if_none_match'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_student_parent_associations_by_id" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `get_student_parent_associations_by_id`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} if 'if_none_match' in params: header_params['If-None-Match'] = params['if_none_match'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_client_credentials'] # noqa: E501 return self.api_client.call_api( '/ed-fi/studentParentAssociations/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='EdFiStudentParentAssociation', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def post_student_parent_association(self, student_parent_association, **kwargs): # noqa: E501 """Creates or updates resources based on the natural key values of the supplied resource. # noqa: E501 The POST operation can be used to create or update resources. In database terms, this is often referred to as an \"upsert\" operation (insert + update). Clients should NOT include the resource \"id\" in the JSON body because it will result in an error (you must use a PUT operation to update a resource by \"id\"). The web service will identify whether the resource already exists based on the natural key values provided, and update or create the resource appropriately. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_student_parent_association(student_parent_association, async_req=True) >>> result = thread.get() :param async_req bool :param EdFiStudentParentAssociation student_parent_association: The JSON representation of the \"studentParentAssociation\" resource to be created or updated. (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_student_parent_association_with_http_info(student_parent_association, **kwargs) # noqa: E501 else: (data) = self.post_student_parent_association_with_http_info(student_parent_association, **kwargs) # noqa: E501 return data def post_student_parent_association_with_http_info(self, student_parent_association, **kwargs): # noqa: E501 """Creates or updates resources based on the natural key values of the supplied resource. # noqa: E501 The POST operation can be used to create or update resources. In database terms, this is often referred to as an \"upsert\" operation (insert + update). Clients should NOT include the resource \"id\" in the JSON body because it will result in an error (you must use a PUT operation to update a resource by \"id\"). The web service will identify whether the resource already exists based on the natural key values provided, and update or create the resource appropriately. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_student_parent_association_with_http_info(student_parent_association, async_req=True) >>> result = thread.get() :param async_req bool :param EdFiStudentParentAssociation student_parent_association: The JSON representation of the \"studentParentAssociation\" resource to be created or updated. (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['student_parent_association'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_student_parent_association" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'student_parent_association' is set if self.api_client.client_side_validation and ('student_parent_association' not in params or params['student_parent_association'] is None): # noqa: E501 raise ValueError("Missing the required parameter `student_parent_association` when calling `post_student_parent_association`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'student_parent_association' in params: body_params = params['student_parent_association'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_client_credentials'] # noqa: E501 return self.api_client.call_api( '/ed-fi/studentParentAssociations', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def put_student_parent_association(self, id, student_parent_association, **kwargs): # noqa: E501 """Updates or creates a resource based on the resource identifier. # noqa: E501 The PUT operation is used to update or create a resource by identifier. If the resource doesn't exist, the resource will be created using that identifier. Additionally, natural key values cannot be changed using this operation, and will not be modified in the database. If the resource \"id\" is provided in the JSON body, it will be ignored as well. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.put_student_parent_association(id, student_parent_association, async_req=True) >>> result = thread.get() :param async_req bool :param str id: A resource identifier that uniquely identifies the resource. (required) :param EdFiStudentParentAssociation student_parent_association: The JSON representation of the \"studentParentAssociation\" resource to be created or updated. (required) :param str if_match: The ETag header value used to prevent the PUT from updating a resource modified by another consumer. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.put_student_parent_association_with_http_info(id, student_parent_association, **kwargs) # noqa: E501 else: (data) = self.put_student_parent_association_with_http_info(id, student_parent_association, **kwargs) # noqa: E501 return data def put_student_parent_association_with_http_info(self, id, student_parent_association, **kwargs): # noqa: E501 """Updates or creates a resource based on the resource identifier. # noqa: E501 The PUT operation is used to update or create a resource by identifier. If the resource doesn't exist, the resource will be created using that identifier. Additionally, natural key values cannot be changed using this operation, and will not be modified in the database. If the resource \"id\" is provided in the JSON body, it will be ignored as well. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.put_student_parent_association_with_http_info(id, student_parent_association, async_req=True) >>> result = thread.get() :param async_req bool :param str id: A resource identifier that uniquely identifies the resource. (required) :param EdFiStudentParentAssociation student_parent_association: The JSON representation of the \"studentParentAssociation\" resource to be created or updated. (required) :param str if_match: The ETag header value used to prevent the PUT from updating a resource modified by another consumer. :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'student_parent_association', 'if_match'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_student_parent_association" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `put_student_parent_association`") # noqa: E501 # verify the required parameter 'student_parent_association' is set if self.api_client.client_side_validation and ('student_parent_association' not in params or params['student_parent_association'] is None): # noqa: E501 raise ValueError("Missing the required parameter `student_parent_association` when calling `put_student_parent_association`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} if 'if_match' in params: header_params['If-Match'] = params['if_match'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'student_parent_association' in params: body_params = params['student_parent_association'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_client_credentials'] # noqa: E501 return self.api_client.call_api( '/ed-fi/studentParentAssociations/{id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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Python

deepcell/model_zoo/featurenet_test.py

jizhouh/deepcell-tf

491ece59f5024d73429477ebdcb437a6e67d766b

[ "Apache-2.0" ]

250

2018-09-19T23:55:06.000Z

2022-03-30T02:20:52.000Z

deepcell/model_zoo/featurenet_test.py

jizhouh/deepcell-tf

491ece59f5024d73429477ebdcb437a6e67d766b

[ "Apache-2.0" ]

251

2018-09-21T17:09:43.000Z

2022-02-28T19:04:50.000Z

deepcell/model_zoo/featurenet_test.py

jizhouh/deepcell-tf

491ece59f5024d73429477ebdcb437a6e67d766b

[ "Apache-2.0" ]

64

2018-11-29T15:22:15.000Z

2022-03-21T03:37:43.000Z

# Copyright 2016-2021 The Van Valen Lab at the California Institute of # Technology (Caltech), with support from the Paul Allen Family Foundation, # Google, & National Institutes of Health (NIH) under Grant U24CA224309-01. # All rights reserved. # # Licensed under a modified 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.github.com/vanvalenlab/deepcell-tf/LICENSE # # The Work provided may be used for non-commercial academic purposes only. # For any other use of the Work, including commercial use, please contact: # vanvalenlab@gmail.com # # Neither the name of Caltech nor the names of its contributors may be used # to endorse or promote products derived from this software without specific # prior written permission. # # 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. # ============================================================================== """Test the featurenet models.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function from absl.testing import parameterized from tensorflow.python.framework import test_util as tf_test_util from tensorflow.python.keras import keras_parameterized from tensorflow.keras import backend as K from deepcell.model_zoo import featurenet class FeatureNetTest(keras_parameterized.TestCase): @keras_parameterized.run_all_keras_modes @parameterized.named_parameters([ { 'testcase_name': 'dilated_include_top', 'include_top': True, 'dilated': True, 'padding_mode': 'reflect', 'padding': False, 'multires': False, 'location': False, 'shape': (32, 32, 1), 'data_format': 'channels_last' }, { 'testcase_name': 'dilated_include_top_cf', 'include_top': True, 'dilated': True, 'padding_mode': 'reflect', 'padding': False, 'multires': False, 'location': False, 'shape': (32, 32, 1), 'data_format': 'channels_first' }, # { # 'testcase_name': 'not_dilated_include_top', # 'include_top': True, # 'dilated': False, # 'padding_mode': 'reflect', # 'padding': True, # 'multires': False, # 'location': False, # 'shape': (32, 32, 1), # 'data_format': 'channels_last', # }, # { # 'testcase_name': 'not_dilated_include_top_cf', # 'include_top': True, # 'dilated': False, # 'padding_mode': 'reflect', # 'padding': True, # 'multires': False, # 'location': False, # 'shape': (32, 32, 1), # 'data_format': 'channels_first', # }, { 'testcase_name': 'dilated_no_top', 'include_top': False, 'dilated': True, 'padding_mode': 'zero', 'padding': False, 'multires': False, 'location': False, 'shape': (33, 33, 1), 'data_format': 'channels_last', }, { 'testcase_name': 'dilated_no_top_cf', 'include_top': False, 'dilated': True, 'padding_mode': 'zero', 'padding': False, 'multires': False, 'location': False, 'shape': (33, 33, 1), 'data_format': 'channels_first', }, { 'testcase_name': 'not_dilated_no_top', 'include_top': False, 'dilated': False, 'padding_mode': 'reflect', 'padding': False, 'multires': False, 'location': False, 'shape': (32, 32, 1), 'data_format': 'channels_last', }, { 'testcase_name': 'not_dilated_no_top_cf', 'include_top': False, 'dilated': False, 'padding_mode': 'reflect', 'padding': False, 'multires': False, 'location': False, 'shape': (32, 32, 1), 'data_format': 'channels_first', }, { 'testcase_name': 'not_dilated_no_top_location', 'include_top': False, 'dilated': False, 'padding_mode': 'reflect', 'padding': False, 'multires': True, 'location': True, 'shape': (32, 32, 1), 'data_format': 'channels_last', }, { 'testcase_name': 'not_dilated_no_top_location_cf', 'include_top': False, 'dilated': False, 'padding_mode': 'reflect', 'padding': False, 'multires': True, 'location': True, 'shape': (32, 32, 1), 'data_format': 'channels_first', }, { 'testcase_name': 'not_dilated_no_top_multires', 'include_top': False, 'dilated': False, 'padding_mode': 'reflect', 'padding': False, 'multires': True, 'location': False, 'shape': (32, 32, 1), 'data_format': 'channels_last', }, { 'testcase_name': 'not_dilated_no_top_multires_cf', 'include_top': False, 'dilated': False, 'padding_mode': 'reflect', 'padding': False, 'multires': True, 'location': False, 'shape': (32, 32, 1), 'data_format': 'channels_first', }, ]) def test_bn_feature_net_2D(self, include_top, padding, padding_mode, shape, dilated, multires, location, data_format): n_features = 3 n_dense_filters = 200 # BAD: dilated=True, include_top=False # BAD: inputs != None with self.cached_session(): K.set_image_data_format(data_format) model = featurenet.bn_feature_net_2D( include_top=include_top, dilated=dilated, input_shape=shape, n_features=n_features, n_dense_filters=n_dense_filters, padding=padding, padding_mode=padding_mode, multires=multires, VGG_mode=multires, location=location) self.assertEqual(len(model.output_shape), 4) output = n_features if include_top else n_dense_filters axis = 1 if data_format == 'channels_first' else -1 self.assertEqual(model.output_shape[axis], output) @keras_parameterized.run_all_keras_modes @parameterized.named_parameters( *tf_test_util.generate_combinations_with_testcase_name( data_format=['channels_first', 'channels_last'])) def test_bn_feature_net_2D_skip(self, data_format): receptive_field = 61 n_features = 3 n_dense_filters = 300 input_shape = (256, 256, 1) n_skips = 1 with self.cached_session(): K.set_image_data_format(data_format) axis = 1 if data_format == 'channels_first' else -1 fgbg_model = featurenet.bn_feature_net_skip_2D( receptive_field=receptive_field, input_shape=input_shape, n_features=n_features, n_dense_filters=n_dense_filters, n_skips=n_skips, last_only=False) self.assertIsInstance(fgbg_model.output, list) self.assertEqual(len(fgbg_model.output), n_skips + 1) model = featurenet.bn_feature_net_skip_2D( receptive_field=receptive_field, input_shape=input_shape, fgbg_model=fgbg_model, n_features=n_features, n_dense_filters=n_dense_filters, n_skips=n_skips, last_only=True) self.assertEqual(len(model.output_shape), 4) self.assertEqual(model.output_shape[axis], n_features) @keras_parameterized.run_all_keras_modes @parameterized.named_parameters([ { 'testcase_name': 'dilated_include_top', 'include_top': True, 'dilated': True, 'padding_mode': 'reflect', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 33, 33, 1), 'data_format': 'channels_last', 'temporal': None, 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'dilated_include_top_cf', 'include_top': True, 'dilated': True, 'padding_mode': 'reflect', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 33, 33, 1), 'data_format': 'channels_first', 'temporal': None, 'residual': False, 'temporal_kernel_size': 3, }, # { # 'testcase_name': 'not_dilated_include_top', # 'include_top': True, # 'dilated': False, # 'padding_mode': 'reflect', # 'padding': True, # 'multires': False, # 'location': False, # 'data_format': 'channels_last', # }, # { # 'testcase_name': 'not_dilated_include_top_cf', # 'include_top': True, # 'dilated': False, # 'padding_mode': 'reflect', # 'padding': True, # 'multires': False, # 'location': False, # 'data_format': 'channels_first', # }, { 'testcase_name': 'dilated_no_top', 'include_top': False, 'dilated': True, 'padding_mode': 'zero', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 32, 32, 1), 'data_format': 'channels_last', 'temporal': None, 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'dilated_no_top_cf', 'include_top': False, 'dilated': True, 'padding_mode': 'zero', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 32, 32, 1), 'data_format': 'channels_first', 'temporal': None, 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'not_dilated_no_top', 'include_top': False, 'dilated': False, 'padding_mode': 'reflect', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 33, 33, 1), 'data_format': 'channels_last', 'temporal': None, 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'not_dilated_no_top_cf', 'include_top': False, 'dilated': False, 'padding_mode': 'reflect', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 33, 33, 1), 'data_format': 'channels_first', 'temporal': None, 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'not_dilated_no_top_location', 'include_top': False, 'dilated': False, 'padding_mode': 'reflect', 'padding': False, 'multires': True, 'location': True, 'shape': (10, 32, 32, 1), 'data_format': 'channels_last', 'temporal': None, 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'not_dilated_no_top_location_cf', 'include_top': False, 'dilated': False, 'padding_mode': 'reflect', 'padding': False, 'multires': True, 'location': True, 'shape': (10, 32, 32, 1), 'data_format': 'channels_first', 'temporal': None, 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'not_dilated_no_top_multires', 'include_top': False, 'dilated': False, 'padding_mode': 'reflect', 'padding': False, 'multires': True, 'location': False, 'shape': (10, 33, 33, 1), 'data_format': 'channels_last', 'temporal': None, 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'not_dilated_no_top_multires_cf', 'include_top': False, 'dilated': False, 'padding_mode': 'reflect', 'padding': False, 'multires': True, 'location': False, 'shape': (10, 33, 33, 1), 'data_format': 'channels_first', 'temporal': None, 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'dilated_no_top_conv3D_nonresidual', 'include_top': False, 'dilated': True, 'padding_mode': 'zero', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 32, 32, 1), 'data_format': 'channels_last', 'temporal': 'conv', 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'dilated_no_top_conv3D_residual', 'include_top': False, 'dilated': True, 'padding_mode': 'zero', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 32, 32, 1), 'data_format': 'channels_last', 'temporal': 'conv', 'residual': True, 'temporal_kernel_size': 3, }, { 'testcase_name': 'dilated_no_top_convGRU2D_nonresidual', 'include_top': False, 'dilated': True, 'padding_mode': 'zero', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 32, 32, 1), 'data_format': 'channels_last', 'temporal': 'gru', 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'dilated_no_top_convgru2D_nonresidual', 'include_top': False, 'dilated': True, 'padding_mode': 'zero', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 32, 32, 1), 'data_format': 'channels_last', 'temporal': 'GRU', 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'dilated_no_top_convGRU2D_residual', 'include_top': False, 'dilated': True, 'padding_mode': 'zero', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 32, 32, 1), 'data_format': 'channels_last', 'temporal': 'gru', 'residual': True, 'temporal_kernel_size': 3, }, { 'testcase_name': 'dilated_no_top_convlstm2D_nonresidual', 'include_top': False, 'dilated': True, 'padding_mode': 'zero', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 32, 32, 1), 'data_format': 'channels_last', 'temporal': 'lstm', 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'dilated_no_top_convLSTM2D_nonresidual', 'include_top': False, 'dilated': True, 'padding_mode': 'zero', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 32, 32, 1), 'data_format': 'channels_last', 'temporal': 'LSTM', 'residual': False, 'temporal_kernel_size': 3, }, { 'testcase_name': 'dilated_no_top_convLSTM2D_residual', 'include_top': False, 'dilated': True, 'padding_mode': 'zero', 'padding': False, 'multires': False, 'location': False, 'shape': (10, 32, 32, 1), 'data_format': 'channels_last', 'temporal': 'lstm', 'residual': True, 'temporal_kernel_size': 3, }, ]) def test_bn_feature_net_3D(self, include_top, padding, padding_mode, shape, dilated, multires, location, data_format, temporal, residual, temporal_kernel_size): n_features = 3 n_dense_filters = 200 n_frames = 5 # input_shape = (10, 32, 32, 1) with self.cached_session(): K.set_image_data_format(data_format) model = featurenet.bn_feature_net_3D( include_top=include_top, dilated=dilated, n_frames=n_frames, input_shape=shape, n_features=n_features, n_dense_filters=n_dense_filters, padding=padding, padding_mode=padding_mode, multires=multires, VGG_mode=multires, location=location, temporal=temporal, residual=residual, temporal_kernel_size=temporal_kernel_size) self.assertEqual(len(model.output_shape), 5 if dilated else 2) channel_axis = 1 if data_format == 'channels_first' else -1 self.assertEqual(model.output_shape[channel_axis], n_features) @keras_parameterized.run_all_keras_modes @parameterized.named_parameters( *tf_test_util.generate_combinations_with_testcase_name( data_format=['channels_first', 'channels_last'])) def test_bn_feature_net_3D_skip(self, data_format): receptive_field = 61 n_features = 3 n_dense_filters = 300 input_shape = (10, 32, 32, 1) n_skips = 1 temporal = None residual = False temporal_kernel_size = 3 with self.cached_session(): K.set_image_data_format(data_format) axis = 1 if data_format == 'channels_first' else -1 fgbg_model = featurenet.bn_feature_net_skip_3D( receptive_field=receptive_field, input_shape=input_shape, n_features=n_features, n_dense_filters=n_dense_filters, n_skips=n_skips, last_only=False, temporal=temporal, residual=residual, temporal_kernel_size=temporal_kernel_size) self.assertIsInstance(fgbg_model.output, list) self.assertEqual(len(fgbg_model.output), n_skips + 1) model = featurenet.bn_feature_net_skip_3D( receptive_field=receptive_field, input_shape=input_shape, fgbg_model=fgbg_model, n_features=n_features, n_dense_filters=n_dense_filters, n_skips=n_skips, last_only=True, temporal=temporal, residual=residual, temporal_kernel_size=temporal_kernel_size) self.assertEqual(len(model.output_shape), 5) self.assertEqual(model.output_shape[axis], n_features)

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ce25e62fb5d454eae2777ba5d9ec94b0b6eab76e

188

py

Python

grr/client/grr_response_client/client_actions/osx/local/__init__.py

certxlm/grr

c2a442a27f656fb18dfa3bce098847e5c5b849d7

[ "Apache-2.0" ]

1

2019-08-28T23:48:20.000Z

grr/client/grr_response_client/client_actions/osx/local/__init__.py

AjitNair2/grr

2a2ea891b3927775872904cdd402a18e7bb3d143

[ "Apache-2.0" ]

2

2022-01-15T03:18:12.000Z

2022-02-13T22:02:43.000Z

grr/client/grr_response_client/client_actions/osx/local/__init__.py

acidburn0zzz/grr

44e1a5b1630e8101610faaaebe15b19b5ad30cb1

[ "Apache-2.0" ]

null

#!/usr/bin/env python """A module to load the local MacOS client plugins.""" from __future__ import absolute_import from __future__ import division from __future__ import unicode_literals

31.333333

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0

7

5a58b4800d2fda6450cab33d923bb7ffa24727a3

760

py

Python

funcs/cc.py

nayanm9/LHD2022

f014d768e18a899489352db58c3e111b533e5905

[ "MIT" ]

1

2022-02-12T04:43:22.000Z

funcs/cc.py

nayanm9/LHD2022

f014d768e18a899489352db58c3e111b533e5905

[ "MIT" ]

null

funcs/cc.py

nayanm9/LHD2022

f014d768e18a899489352db58c3e111b533e5905

[ "MIT" ]

null

def encrypt(text,s): result = "" # traverse text for i in range(len(text)): char = text[i] # Encrypt uppercase characters if (char.isupper()): result += chr((ord(char) + s-65) % 26 + 65) # Encrypt lowercase characters else: result += chr((ord(char) + s - 97) % 26 + 97) return result def decrypt(text,s): result = "" # traverse text for i in range(len(text)): char = text[i] # Decrypt uppercase characters if (char.isupper()): result += chr((ord(char) - s-65) % 26 + 65) # Decrypt lowercase characters else: result += chr((ord(char) - s - 97) % 26 + 97) return result

27.142857

58

0.492105

88

760

4.25

0.284091

0.096257

0.128342

0.171123

0.871658

0

0.050847

0.378947

760

27

59

28.148148

0.741525

0.188158

0

0.666667

0

1

0.111111

false

0

0.222222

0

null

0

1

0

null

0

7

ceac752ef0104863d6afb9dbc08fa80e0cb7f2f9

88

py

Python

matrix_parser/__init__.py

heliosantos/matrix_parser

dbea4653c52b6640bc458d1b2aae9ebb9208f313

[ "MIT" ]

null

matrix_parser/__init__.py

heliosantos/matrix_parser

dbea4653c52b6640bc458d1b2aae9ebb9208f313

[ "MIT" ]

null

matrix_parser/__init__.py

heliosantos/matrix_parser

dbea4653c52b6640bc458d1b2aae9ebb9208f313

[ "MIT" ]

null

from .matrix_parser_base import MatrixParserBase from .matrix_parser import MatrixParser

44

48

0.897727

11

88

6.909091

0.636364

0.263158

0.421053

0

0.079545

88

2

49

44

0.938272

0

1

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true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

0c8230e5c97a53e0f04fd8074a871f0fb8b75ad6

191

py

Python

nertivia4py/utils/exceptions.py

bentettmar/nertivia4py

a9b758000632e40306bc610a6966cb8d0a643c20

[ "MIT" ]

3

2022-01-24T16:31:20.000Z

2022-02-03T22:44:51.000Z

nertivia4py/utils/exceptions.py

bentettmar/nertivia4py

a9b758000632e40306bc610a6966cb8d0a643c20

[ "MIT" ]

9

2022-03-05T19:01:48.000Z

2022-03-06T11:38:53.000Z

nertivia4py/utils/exceptions.py

bentettmar/nertivia4py

a9b758000632e40306bc610a6966cb8d0a643c20

[ "MIT" ]

null

class CommandAlreadyExists(Exception): pass class CommandError(Exception): pass class CommandNotFound(Exception): pass class InvalidEvent(Exception): pass class InvalidToken(Exception): pass

31.833333

43

0.842932

20

191

8.05

0.4

0.403727

0.447205

0

0.078534

191

6

44

31.833333

0.914773

0

1

0

true

1

0

1

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1

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null

1

0

1

0

null

0

1

0

1

0

7

0c95c250a8bb671f56a6d2ba12610da91dae53f4

33

py

Python

Cisco/2.1.3.4c.py

martageraldo/aula-python-cisco

6f4061c4200bb611f90a4231e1646ae8a0066e99

[ "MIT" ]

null

Cisco/2.1.3.4c.py

martageraldo/aula-python-cisco

6f4061c4200bb611f90a4231e1646ae8a0066e99

[ "MIT" ]

null

Cisco/2.1.3.4c.py

martageraldo/aula-python-cisco

6f4061c4200bb611f90a4231e1646ae8a0066e99

[ "MIT" ]

null

print(-6 // 4) print(6. // -4)

11

16

0.424242

6

33

2.333333

0.5

0.857143

1

0

0.16

0.242424

33

2

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16.5

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true

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1

0

1

0

null

0

1

0

1

0

8

0cad1900fe19bd883bdd85f74ba6087d0291050b

37,397

py

Python

sdks/python/http_client/v1/polyaxon_sdk/api/queues_v1_api.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

sdks/python/http_client/v1/polyaxon_sdk/api/queues_v1_api.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

sdks/python/http_client/v1/polyaxon_sdk/api/queues_v1_api.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

#!/usr/bin/python # # Copyright 2019 Polyaxon, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # coding: utf-8 """ Polyaxon SDKs and REST API specification. Polyaxon SDKs and REST API specification. # noqa: E501 OpenAPI spec version: 1.0.0 Contact: contact@polyaxon.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from polyaxon_sdk.api_client import ApiClient class QueuesV1Api(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def create_queue(self, owner, agent, body, **kwargs): # noqa: E501 """List runs # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_queue(owner, agent, body, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str agent: Agent that consumes the queue (required) :param V1Queue body: Queue body (required) :return: V1Agent If the method is called asynchronously, returns the request thread. """ kwargs["_return_http_data_only"] = True if kwargs.get("async_req"): return self.create_queue_with_http_info( owner, agent, body, **kwargs ) # noqa: E501 else: (data) = self.create_queue_with_http_info( owner, agent, body, **kwargs ) # noqa: E501 return data def create_queue_with_http_info(self, owner, agent, body, **kwargs): # noqa: E501 """List runs # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_queue_with_http_info(owner, agent, body, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str agent: Agent that consumes the queue (required) :param V1Queue body: Queue body (required) :return: V1Agent If the method is called asynchronously, returns the request thread. """ all_params = ["owner", "agent", "body"] # noqa: E501 all_params.append("async_req") all_params.append("_return_http_data_only") all_params.append("_preload_content") all_params.append("_request_timeout") params = locals() for key, val in six.iteritems(params["kwargs"]): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_queue" % key ) params[key] = val del params["kwargs"] # verify the required parameter 'owner' is set if "owner" not in params or params["owner"] is None: raise ValueError( "Missing the required parameter `owner` when calling `create_queue`" ) # noqa: E501 # verify the required parameter 'agent' is set if "agent" not in params or params["agent"] is None: raise ValueError( "Missing the required parameter `agent` when calling `create_queue`" ) # noqa: E501 # verify the required parameter 'body' is set if "body" not in params or params["body"] is None: raise ValueError( "Missing the required parameter `body` when calling `create_queue`" ) # noqa: E501 collection_formats = {} path_params = {} if "owner" in params: path_params["owner"] = params["owner"] # noqa: E501 if "agent" in params: path_params["agent"] = params["agent"] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if "body" in params: body_params = params["body"] # HTTP header `Accept` header_params["Accept"] = self.api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params[ "Content-Type" ] = self.api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiKey"] # noqa: E501 return self.api_client.call_api( "/api/v1/{owner}/agents/{agent}/queues", "POST", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="V1Agent", # noqa: E501 auth_settings=auth_settings, async_req=params.get("async_req"), _return_http_data_only=params.get("_return_http_data_only"), _preload_content=params.get("_preload_content", True), _request_timeout=params.get("_request_timeout"), collection_formats=collection_formats, ) def delete_queue(self, owner, agent, uuid, **kwargs): # noqa: E501 """Patch run # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_queue(owner, agent, uuid, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str agent: Agent managing the resource (required) :param str uuid: Unique integer identifier of the entity (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs["_return_http_data_only"] = True if kwargs.get("async_req"): return self.delete_queue_with_http_info( owner, agent, uuid, **kwargs ) # noqa: E501 else: (data) = self.delete_queue_with_http_info( owner, agent, uuid, **kwargs ) # noqa: E501 return data def delete_queue_with_http_info(self, owner, agent, uuid, **kwargs): # noqa: E501 """Patch run # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_queue_with_http_info(owner, agent, uuid, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str agent: Agent managing the resource (required) :param str uuid: Unique integer identifier of the entity (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ["owner", "agent", "uuid"] # noqa: E501 all_params.append("async_req") all_params.append("_return_http_data_only") all_params.append("_preload_content") all_params.append("_request_timeout") params = locals() for key, val in six.iteritems(params["kwargs"]): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_queue" % key ) params[key] = val del params["kwargs"] # verify the required parameter 'owner' is set if "owner" not in params or params["owner"] is None: raise ValueError( "Missing the required parameter `owner` when calling `delete_queue`" ) # noqa: E501 # verify the required parameter 'agent' is set if "agent" not in params or params["agent"] is None: raise ValueError( "Missing the required parameter `agent` when calling `delete_queue`" ) # noqa: E501 # verify the required parameter 'uuid' is set if "uuid" not in params or params["uuid"] is None: raise ValueError( "Missing the required parameter `uuid` when calling `delete_queue`" ) # noqa: E501 collection_formats = {} path_params = {} if "owner" in params: path_params["owner"] = params["owner"] # noqa: E501 if "agent" in params: path_params["agent"] = params["agent"] # noqa: E501 if "uuid" in params: path_params["uuid"] = params["uuid"] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params["Accept"] = self.api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params[ "Content-Type" ] = self.api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiKey"] # noqa: E501 return self.api_client.call_api( "/api/v1/{owner}/agents/{agent}/queues/{uuid}", "DELETE", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get("async_req"), _return_http_data_only=params.get("_return_http_data_only"), _preload_content=params.get("_preload_content", True), _request_timeout=params.get("_request_timeout"), collection_formats=collection_formats, ) def get_queue(self, owner, agent, uuid, **kwargs): # noqa: E501 """Create new run # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_queue(owner, agent, uuid, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str agent: Agent managing the resource (required) :param str uuid: Unique integer identifier of the entity (required) :return: V1Queue If the method is called asynchronously, returns the request thread. """ kwargs["_return_http_data_only"] = True if kwargs.get("async_req"): return self.get_queue_with_http_info( owner, agent, uuid, **kwargs ) # noqa: E501 else: (data) = self.get_queue_with_http_info( owner, agent, uuid, **kwargs ) # noqa: E501 return data def get_queue_with_http_info(self, owner, agent, uuid, **kwargs): # noqa: E501 """Create new run # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_queue_with_http_info(owner, agent, uuid, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str agent: Agent managing the resource (required) :param str uuid: Unique integer identifier of the entity (required) :return: V1Queue If the method is called asynchronously, returns the request thread. """ all_params = ["owner", "agent", "uuid"] # noqa: E501 all_params.append("async_req") all_params.append("_return_http_data_only") all_params.append("_preload_content") all_params.append("_request_timeout") params = locals() for key, val in six.iteritems(params["kwargs"]): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_queue" % key ) params[key] = val del params["kwargs"] # verify the required parameter 'owner' is set if "owner" not in params or params["owner"] is None: raise ValueError( "Missing the required parameter `owner` when calling `get_queue`" ) # noqa: E501 # verify the required parameter 'agent' is set if "agent" not in params or params["agent"] is None: raise ValueError( "Missing the required parameter `agent` when calling `get_queue`" ) # noqa: E501 # verify the required parameter 'uuid' is set if "uuid" not in params or params["uuid"] is None: raise ValueError( "Missing the required parameter `uuid` when calling `get_queue`" ) # noqa: E501 collection_formats = {} path_params = {} if "owner" in params: path_params["owner"] = params["owner"] # noqa: E501 if "agent" in params: path_params["agent"] = params["agent"] # noqa: E501 if "uuid" in params: path_params["uuid"] = params["uuid"] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params["Accept"] = self.api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params[ "Content-Type" ] = self.api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiKey"] # noqa: E501 return self.api_client.call_api( "/api/v1/{owner}/agents/{agent}/queues/{uuid}", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="V1Queue", # noqa: E501 auth_settings=auth_settings, async_req=params.get("async_req"), _return_http_data_only=params.get("_return_http_data_only"), _preload_content=params.get("_preload_content", True), _request_timeout=params.get("_request_timeout"), collection_formats=collection_formats, ) def list_queue_names(self, owner, agent, **kwargs): # noqa: E501 """List bookmarked runs for user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_queue_names(owner, agent, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str agent: Agent man managing the resource (required) :param int offset: Pagination offset. :param int limit: Limit size. :param str sort: Sort to order the search. :param str query: Query filter the search search. :return: V1ListQueuesResponse If the method is called asynchronously, returns the request thread. """ kwargs["_return_http_data_only"] = True if kwargs.get("async_req"): return self.list_queue_names_with_http_info( owner, agent, **kwargs ) # noqa: E501 else: (data) = self.list_queue_names_with_http_info( owner, agent, **kwargs ) # noqa: E501 return data def list_queue_names_with_http_info(self, owner, agent, **kwargs): # noqa: E501 """List bookmarked runs for user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_queue_names_with_http_info(owner, agent, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str agent: Agent man managing the resource (required) :param int offset: Pagination offset. :param int limit: Limit size. :param str sort: Sort to order the search. :param str query: Query filter the search search. :return: V1ListQueuesResponse If the method is called asynchronously, returns the request thread. """ all_params = [ "owner", "agent", "offset", "limit", "sort", "query", ] # noqa: E501 all_params.append("async_req") all_params.append("_return_http_data_only") all_params.append("_preload_content") all_params.append("_request_timeout") params = locals() for key, val in six.iteritems(params["kwargs"]): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_queue_names" % key ) params[key] = val del params["kwargs"] # verify the required parameter 'owner' is set if "owner" not in params or params["owner"] is None: raise ValueError( "Missing the required parameter `owner` when calling `list_queue_names`" ) # noqa: E501 # verify the required parameter 'agent' is set if "agent" not in params or params["agent"] is None: raise ValueError( "Missing the required parameter `agent` when calling `list_queue_names`" ) # noqa: E501 collection_formats = {} path_params = {} if "owner" in params: path_params["owner"] = params["owner"] # noqa: E501 if "agent" in params: path_params["agent"] = params["agent"] # noqa: E501 query_params = [] if "offset" in params: query_params.append(("offset", params["offset"])) # noqa: E501 if "limit" in params: query_params.append(("limit", params["limit"])) # noqa: E501 if "sort" in params: query_params.append(("sort", params["sort"])) # noqa: E501 if "query" in params: query_params.append(("query", params["query"])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params["Accept"] = self.api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params[ "Content-Type" ] = self.api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiKey"] # noqa: E501 return self.api_client.call_api( "/api/v1/{owner}/agents/{agent}/queues/names", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="V1ListQueuesResponse", # noqa: E501 auth_settings=auth_settings, async_req=params.get("async_req"), _return_http_data_only=params.get("_return_http_data_only"), _preload_content=params.get("_preload_content", True), _request_timeout=params.get("_request_timeout"), collection_formats=collection_formats, ) def list_queues(self, owner, agent, **kwargs): # noqa: E501 """List archived runs for user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_queues(owner, agent, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str agent: Agent man managing the resource (required) :param int offset: Pagination offset. :param int limit: Limit size. :param str sort: Sort to order the search. :param str query: Query filter the search search. :return: V1ListQueuesResponse If the method is called asynchronously, returns the request thread. """ kwargs["_return_http_data_only"] = True if kwargs.get("async_req"): return self.list_queues_with_http_info(owner, agent, **kwargs) # noqa: E501 else: (data) = self.list_queues_with_http_info( owner, agent, **kwargs ) # noqa: E501 return data def list_queues_with_http_info(self, owner, agent, **kwargs): # noqa: E501 """List archived runs for user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_queues_with_http_info(owner, agent, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str agent: Agent man managing the resource (required) :param int offset: Pagination offset. :param int limit: Limit size. :param str sort: Sort to order the search. :param str query: Query filter the search search. :return: V1ListQueuesResponse If the method is called asynchronously, returns the request thread. """ all_params = [ "owner", "agent", "offset", "limit", "sort", "query", ] # noqa: E501 all_params.append("async_req") all_params.append("_return_http_data_only") all_params.append("_preload_content") all_params.append("_request_timeout") params = locals() for key, val in six.iteritems(params["kwargs"]): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_queues" % key ) params[key] = val del params["kwargs"] # verify the required parameter 'owner' is set if "owner" not in params or params["owner"] is None: raise ValueError( "Missing the required parameter `owner` when calling `list_queues`" ) # noqa: E501 # verify the required parameter 'agent' is set if "agent" not in params or params["agent"] is None: raise ValueError( "Missing the required parameter `agent` when calling `list_queues`" ) # noqa: E501 collection_formats = {} path_params = {} if "owner" in params: path_params["owner"] = params["owner"] # noqa: E501 if "agent" in params: path_params["agent"] = params["agent"] # noqa: E501 query_params = [] if "offset" in params: query_params.append(("offset", params["offset"])) # noqa: E501 if "limit" in params: query_params.append(("limit", params["limit"])) # noqa: E501 if "sort" in params: query_params.append(("sort", params["sort"])) # noqa: E501 if "query" in params: query_params.append(("query", params["query"])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params["Accept"] = self.api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params[ "Content-Type" ] = self.api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiKey"] # noqa: E501 return self.api_client.call_api( "/api/v1/{owner}/agents/{agent}/queues", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="V1ListQueuesResponse", # noqa: E501 auth_settings=auth_settings, async_req=params.get("async_req"), _return_http_data_only=params.get("_return_http_data_only"), _preload_content=params.get("_preload_content", True), _request_timeout=params.get("_request_timeout"), collection_formats=collection_formats, ) def patch_queue(self, owner, queue_agent, queue_uuid, body, **kwargs): # noqa: E501 """Update run # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_queue(owner, queue_agent, queue_uuid, body, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str queue_agent: Agent (required) :param str queue_uuid: UUID (required) :param V1Queue body: Queue body (required) :return: V1Queue If the method is called asynchronously, returns the request thread. """ kwargs["_return_http_data_only"] = True if kwargs.get("async_req"): return self.patch_queue_with_http_info( owner, queue_agent, queue_uuid, body, **kwargs ) # noqa: E501 else: (data) = self.patch_queue_with_http_info( owner, queue_agent, queue_uuid, body, **kwargs ) # noqa: E501 return data def patch_queue_with_http_info( self, owner, queue_agent, queue_uuid, body, **kwargs ): # noqa: E501 """Update run # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_queue_with_http_info(owner, queue_agent, queue_uuid, body, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str queue_agent: Agent (required) :param str queue_uuid: UUID (required) :param V1Queue body: Queue body (required) :return: V1Queue If the method is called asynchronously, returns the request thread. """ all_params = ["owner", "queue_agent", "queue_uuid", "body"] # noqa: E501 all_params.append("async_req") all_params.append("_return_http_data_only") all_params.append("_preload_content") all_params.append("_request_timeout") params = locals() for key, val in six.iteritems(params["kwargs"]): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_queue" % key ) params[key] = val del params["kwargs"] # verify the required parameter 'owner' is set if "owner" not in params or params["owner"] is None: raise ValueError( "Missing the required parameter `owner` when calling `patch_queue`" ) # noqa: E501 # verify the required parameter 'queue_agent' is set if "queue_agent" not in params or params["queue_agent"] is None: raise ValueError( "Missing the required parameter `queue_agent` when calling `patch_queue`" ) # noqa: E501 # verify the required parameter 'queue_uuid' is set if "queue_uuid" not in params or params["queue_uuid"] is None: raise ValueError( "Missing the required parameter `queue_uuid` when calling `patch_queue`" ) # noqa: E501 # verify the required parameter 'body' is set if "body" not in params or params["body"] is None: raise ValueError( "Missing the required parameter `body` when calling `patch_queue`" ) # noqa: E501 collection_formats = {} path_params = {} if "owner" in params: path_params["owner"] = params["owner"] # noqa: E501 if "queue_agent" in params: path_params["queue.agent"] = params["queue_agent"] # noqa: E501 if "queue_uuid" in params: path_params["queue.uuid"] = params["queue_uuid"] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if "body" in params: body_params = params["body"] # HTTP header `Accept` header_params["Accept"] = self.api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params[ "Content-Type" ] = self.api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiKey"] # noqa: E501 return self.api_client.call_api( "/api/v1/{owner}/agents/{queue.agent}/queues/{queue.uuid}", "PATCH", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="V1Queue", # noqa: E501 auth_settings=auth_settings, async_req=params.get("async_req"), _return_http_data_only=params.get("_return_http_data_only"), _preload_content=params.get("_preload_content", True), _request_timeout=params.get("_request_timeout"), collection_formats=collection_formats, ) def update_queue( self, owner, queue_agent, queue_uuid, body, **kwargs ): # noqa: E501 """Get run # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_queue(owner, queue_agent, queue_uuid, body, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str queue_agent: Agent (required) :param str queue_uuid: UUID (required) :param V1Queue body: Queue body (required) :return: V1Queue If the method is called asynchronously, returns the request thread. """ kwargs["_return_http_data_only"] = True if kwargs.get("async_req"): return self.update_queue_with_http_info( owner, queue_agent, queue_uuid, body, **kwargs ) # noqa: E501 else: (data) = self.update_queue_with_http_info( owner, queue_agent, queue_uuid, body, **kwargs ) # noqa: E501 return data def update_queue_with_http_info( self, owner, queue_agent, queue_uuid, body, **kwargs ): # noqa: E501 """Get run # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_queue_with_http_info(owner, queue_agent, queue_uuid, body, async_req=True) >>> result = thread.get() :param async_req bool :param str owner: Owner of the namespace (required) :param str queue_agent: Agent (required) :param str queue_uuid: UUID (required) :param V1Queue body: Queue body (required) :return: V1Queue If the method is called asynchronously, returns the request thread. """ all_params = ["owner", "queue_agent", "queue_uuid", "body"] # noqa: E501 all_params.append("async_req") all_params.append("_return_http_data_only") all_params.append("_preload_content") all_params.append("_request_timeout") params = locals() for key, val in six.iteritems(params["kwargs"]): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method update_queue" % key ) params[key] = val del params["kwargs"] # verify the required parameter 'owner' is set if "owner" not in params or params["owner"] is None: raise ValueError( "Missing the required parameter `owner` when calling `update_queue`" ) # noqa: E501 # verify the required parameter 'queue_agent' is set if "queue_agent" not in params or params["queue_agent"] is None: raise ValueError( "Missing the required parameter `queue_agent` when calling `update_queue`" ) # noqa: E501 # verify the required parameter 'queue_uuid' is set if "queue_uuid" not in params or params["queue_uuid"] is None: raise ValueError( "Missing the required parameter `queue_uuid` when calling `update_queue`" ) # noqa: E501 # verify the required parameter 'body' is set if "body" not in params or params["body"] is None: raise ValueError( "Missing the required parameter `body` when calling `update_queue`" ) # noqa: E501 collection_formats = {} path_params = {} if "owner" in params: path_params["owner"] = params["owner"] # noqa: E501 if "queue_agent" in params: path_params["queue.agent"] = params["queue_agent"] # noqa: E501 if "queue_uuid" in params: path_params["queue.uuid"] = params["queue_uuid"] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if "body" in params: body_params = params["body"] # HTTP header `Accept` header_params["Accept"] = self.api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params[ "Content-Type" ] = self.api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiKey"] # noqa: E501 return self.api_client.call_api( "/api/v1/{owner}/agents/{queue.agent}/queues/{queue.uuid}", "PUT", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="V1Queue", # noqa: E501 auth_settings=auth_settings, async_req=params.get("async_req"), _return_http_data_only=params.get("_return_http_data_only"), _preload_content=params.get("_preload_content", True), _request_timeout=params.get("_request_timeout"), collection_formats=collection_formats, )

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0

null

0

1

0

1

0

null

0

7

0cf3c2f12f08850ecf42ba1588da5be532c6b906

8,572

py

Python

test/tracardi/test_tql.py

danieldemedziuk/tracardi-api

27a82a11f8a2ed11156979f8c8c4cfd700fd3dc4

[ "MIT" ]

null

test/tracardi/test_tql.py

danieldemedziuk/tracardi-api

27a82a11f8a2ed11156979f8c8c4cfd700fd3dc4

[ "MIT" ]

null

test/tracardi/test_tql.py

danieldemedziuk/tracardi-api

27a82a11f8a2ed11156979f8c8c4cfd700fd3dc4

[ "MIT" ]

null

from tracardi.domain.event_metadata import EventMetadata, EventTime from tracardi.service.notation.dot_accessor import DotAccessor from tracardi.domain.profile import Profile from tracardi.domain.context import Context from tracardi.domain.event import Event, EventSession from tracardi.domain.flow import Flow, FlowSchema from tracardi.domain.resource import Resource from tracardi.process_engine.tql.parser import Parser from tracardi.process_engine.tql.transformer.expr_transformer import ExprTransformer payload = { "a": { "b": 1, "c": [1, 2, 3], "d": {"aa": 1}, "e": "test", 'f': 1, 'g': True, 'h': None, 'i': "2021-01-10" } } profile = Profile(id="1") session = EventSession(id="2") resource = Resource(id="3", type="event") context = Context() event = Event(id="event-id", type="type", metadata=EventMetadata(time=EventTime()), source=resource, context=context, profile=profile, session=session, ) flow = Flow(id="flow-id", name="flow", wf_schema=FlowSchema(version="0.g.0")) dot = DotAccessor(profile, session, payload, event, flow) parser = Parser(Parser.read('grammar/uql_expr.lark'), start='expr') def test_tql_between(): tree = parser.parse("payload@a.d.aa between 1 and 2") assert ExprTransformer(dot=dot).transform(tree) def test_tql_equal(): tree = parser.parse("payload@a.e == \"test\"") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b == payload@a.f") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.g == True") assert ExprTransformer(dot=dot).transform(tree) # Not allowed # tree = parser.parse("payload@a.h == null") # assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b == 1") assert ExprTransformer(dot=dot).transform(tree) def test_tql_greater_then(): tree = parser.parse("payload@a.b >= 1") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b => 1") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b > 0") assert ExprTransformer(dot=dot).transform(tree) def test_tql_lower_then(): tree = parser.parse("payload@a.b <= 1") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b =< 1") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b < 2") assert ExprTransformer(dot=dot).transform(tree) def test_tql_equal_date(): tree = parser.parse("datetime(payload@a.i) == datetime(\"2021-01-10\")") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("datetime(payload@a.i) <= datetime(\"2021-01-10\")") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("datetime(payload@a.i) >= datetime(\"2021-01-10\")") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("datetime(payload@a.i) < datetime(\"2021-01-11\")") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("datetime(payload@a.i) > datetime(\"2021-01-09\")") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("datetime(payload@a.i) < datetime(\"2021-01-10 00:00:01\")") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("datetime(payload@a.i) between datetime(\"2020-01-01\") and datetime(\"2022-01-01\")") assert ExprTransformer(dot=dot).transform(tree) def test_tql_is(): tree = parser.parse("payload@a.h is null") assert ExprTransformer(dot=dot).transform(tree) def test_tql_exists(): tree = parser.parse("payload@a.h exists") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.h.h not exists") assert ExprTransformer(dot=dot).transform(tree) def test_tql_false_between(): tree = parser.parse("payload@a.d.aa between 3 and 4") assert not ExprTransformer(dot=dot).transform(tree) def test_tql_false_not_equal(): tree = parser.parse("payload@a.e != \"test\"") assert not ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b != payload@a.f") assert not ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.g != True") assert not ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b != 1") assert not ExprTransformer(dot=dot).transform(tree) # todo not working # def test_tql_false_is_not(): # tree = parser.parse("payload@a.h is not null") # assert not ExprTransformer(dot=dot).transform(tree) def test_tql_false_greater_then(): tree = parser.parse("payload@a.b > 1") assert not ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b > 0") assert ExprTransformer(dot=dot).transform(tree) def test_tql_false_lower_then(): tree = parser.parse("payload@a.b < 1") assert not ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b > 2") assert not ExprTransformer(dot=dot).transform(tree) def test_tql_false_date_ops(): tree = parser.parse("datetime(payload@a.i) != datetime(\"2021-01-10\")") assert not ExprTransformer(dot=dot).transform(tree) tree = parser.parse("datetime(payload@a.i) < datetime(\"2021-01-10\")") assert not ExprTransformer(dot=dot).transform(tree) tree = parser.parse("datetime(payload@a.i) > datetime(\"2021-01-10\")") assert not ExprTransformer(dot=dot).transform(tree) tree = parser.parse("datetime(payload@a.i) > datetime(\"2021-01-11\")") assert not ExprTransformer(dot=dot).transform(tree) # tree = parser.parse("datetime(payload@a.i) < datetime(\"2021-01-09\")") assert not ExprTransformer(dot=dot).transform(tree) # tree = parser.parse("datetime(payload@a.i) > datetime(\"2021-01-10 00:00:01\")") assert not ExprTransformer(dot=dot).transform(tree) tree = parser.parse("datetime(payload@a.i) between datetime(\"2022-01-01\") and datetime(\"2023-01-01\")") assert not ExprTransformer(dot=dot).transform(tree) def test_tql_datetime_now(): tree = parser.parse("now() == now()") assert not ExprTransformer(dot=dot).transform(tree) def test_tql_false_exists(): tree = parser.parse("payload@a.h not exists") assert not ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.h.h exists") assert not ExprTransformer(dot=dot).transform(tree) def test_tql_bool_operations(): tree = parser.parse("payload@a.d.aa between 1 and 2 and payload@a.e == \"test\"") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.d.aa between 1 and 2 or payload@a.e != \"test\"") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.d.aa between 2 and 3 and payload@a.e != \"test\"") assert not ExprTransformer(dot=dot).transform(tree) def test_tql_fail(): try: tree = parser.parse("a.b > 1") ExprTransformer(dot=dot).transform(tree) assert False except Exception: assert True try: tree = parser.parse("payload@... > 1") ExprTransformer(dot=dot).transform(tree) assert False except Exception: assert True # todo this could work # try: # tree = parser.parse("payload@... exists") # ExprTransformer(dot=dot).transform(tree) # assert False # except Exception: # assert True def test_tql_no_value(): try: tree = parser.parse("payload@no-value.b > 1") ExprTransformer(dot=dot).transform(tree) assert False except Exception as e: assert 'Invalid dot notation' in str(e) def test_tql_float_value(): tree = parser.parse("payload@a.b > .54543") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b > 1.54543") assert not ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b < 2.5") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b <= 2.5") assert ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b =< 1.5") assert ExprTransformer(dot=dot).transform(tree) def test_tql_negative_value(): tree = parser.parse("payload@a.b < -1") assert not ExprTransformer(dot=dot).transform(tree) tree = parser.parse("payload@a.b < -1.845") assert not ExprTransformer(dot=dot).transform(tree)

32.717557

110

0.673705

1,165

8,572

4.899571

0.096137

0.079888

0.147162

0.294324

0.807288

0.784338

0.773125

0.735985

0.733532

0.691135

0

0.029022

0.171955

8,572

261

111

32.842912

0.775148

0.049347

0

0.375723

0

0.178923

0.038736

0

0.003831

0.323699

1

0.109827

false

0

0.052023

0

0.16185

0

null

0

1

0

null

0

7

0b5242f03f852864fcee9379d32c333c8859d6cb

7,417

py

Python

tests/test_wg_meta_20.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

1

2021-08-14T17:59:21.000Z

tests/test_wg_meta_20.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

4

2020-02-12T21:30:44.000Z

2020-04-15T20:06:46.000Z

tests/test_wg_meta_20.py

tefra/xsdata-w3c-tests

b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f

[ "MIT" ]

null

from tests.utils import assert_bindings def test_sg_abstract_edc_ee1i_xml(mode, save_output, output_format): assert_bindings( schema="wgData/sg/edc.xsd", instance="wgData/sg/ee1i.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_sg_abstract_upa2_e1bis_xml(mode, save_output, output_format): assert_bindings( schema="wgData/sg/upa2.xsd", instance="wgData/sg/e1.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_sg_abstract_upa2_e1short_xml(mode, save_output, output_format): assert_bindings( schema="wgData/sg/upa2.xsd", instance="wgData/sg/e1short.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_sg_abstract_upa_e1_xml(mode, save_output, output_format): assert_bindings( schema="wgData/sg/upa.xsd", instance="wgData/sg/e1.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_sg_abstract_upa_e1token_xml(mode, save_output, output_format): assert_bindings( schema="wgData/sg/upa.xsd", instance="wgData/sg/e1token.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_sg_and_defined_sibling_3_sns1b(mode, save_output, output_format): assert_bindings( schema="wgData/sg/snbranch.xsd", instance="wgData/sg/sns1b.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_sg_and_defined_sibling_3_snn1c(mode, save_output, output_format): assert_bindings( schema="wgData/sg/snbranch.xsd", instance="wgData/sg/snn1c.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_sg_and_defined_sibling_3_snea(mode, save_output, output_format): assert_bindings( schema="wgData/sg/snbranch.xsd", instance="wgData/sg/snea.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_sg_and_defined_sibling_2_esn(mode, save_output, output_format): assert_bindings( schema="wgData/sg/negsn.xsd", instance="wgData/sg/esn.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_sg_and_defined_sibling_2_n1sn(mode, save_output, output_format): assert_bindings( schema="wgData/sg/negsn.xsd", instance="wgData/sg/n1sn.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_sg_and_defined_sibling_1_sn(mode, save_output, output_format): assert_bindings( schema="wgData/sg/snneg.xsd", instance="wgData/sg/sn.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_sg_and_defined_sibling_1_s1n(mode, save_output, output_format): assert_bindings( schema="wgData/sg/snneg.xsd", instance="wgData/sg/s1n.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_sg_and_defined_sibling_1_sne(mode, save_output, output_format): assert_bindings( schema="wgData/sg/snneg.xsd", instance="wgData/sg/sne.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_sg_and_defined_sibling_1_snn1(mode, save_output, output_format): assert_bindings( schema="wgData/sg/snneg.xsd", instance="wgData/sg/snn1.xml", class_name="Test", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_iri_001_uri_3986_valid_001(mode, save_output, output_format): assert_bindings( schema="wgData/iri/ElementDeclarations.xsd", instance="wgData/iri/URI-3986-valid-001.xml", class_name="Uri3986", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_iri_001_uri_3986_valid_002(mode, save_output, output_format): assert_bindings( schema="wgData/iri/ElementDeclarations.xsd", instance="wgData/iri/URI-3986-valid-002.xml", class_name="Uri3986", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_iri_001_uri_3986_valid_003(mode, save_output, output_format): assert_bindings( schema="wgData/iri/ElementDeclarations.xsd", instance="wgData/iri/URI-3986-valid-003.xml", class_name="Uri3986", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_iri_001_absolute_uri_3986_valid_001(mode, save_output, output_format): assert_bindings( schema="wgData/iri/ElementDeclarations.xsd", instance="wgData/iri/absolute-URI-3986-valid-001.xml", class_name="AbsoluteUri3986", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_iri_001_absolute_uri_3986_valid_002(mode, save_output, output_format): assert_bindings( schema="wgData/iri/ElementDeclarations.xsd", instance="wgData/iri/absolute-URI-3986-valid-002.xml", class_name="AbsoluteUri3986", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", ) def test_iri_001_absolute_uri_3986_valid_003(mode, save_output, output_format): assert_bindings( schema="wgData/iri/ElementDeclarations.xsd", instance="wgData/iri/absolute-URI-3986-valid-003.xml", class_name="AbsoluteUri3986", version="1.1", mode=mode, save_output=save_output, output_format=output_format, structure_style="filenames", )

26.301418

79

0.648645

905

7,417

4.985635

0.068508

0.132979

0.124113

0.195035

0.958998

0.955009

0

0.035328

0.240529

7,417

281

80

26.395018

0.765667

0

0.728507

0

0.176486

0.072401

0

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0.090498

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null

0

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1

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null

0

8

0b55588f3a92349bddc2fecd9596f32172171dde

11,140

py

Python

src/yafowil/widget/array/example.py

conestack/yafowil.widget.array

29baec8cc93611eec8cf82f169b772c006c024b0

[ "BSD-2-Clause" ]

1

2019-07-09T12:53:31.000Z

src/yafowil/widget/array/example.py

conestack/yafowil.widget.array

29baec8cc93611eec8cf82f169b772c006c024b0

[ "BSD-2-Clause" ]

2

2015-05-11T12:32:16.000Z

2015-05-12T08:24:51.000Z

src/yafowil/widget/array/example.py

conestack/yafowil.widget.array

29baec8cc93611eec8cf82f169b772c006c024b0

[ "BSD-2-Clause" ]

1

2015-05-12T08:03:32.000Z

from yafowil.base import factory DOC_ARRAY_WITH_LEAFS = """ Array with single fields as array entries ----------------------------------------- Array containing single field entries. Preset value is expected as list. .. code-block:: python value = ['1', '2', '3'] array = factory('#array', value=value, props={ 'label': 'My Array', 'help': 'I am an array', 'required': 'Array must at least contain one entry', }) array['field'] = factory('#arrayfield:text', props={ 'label': 'Entry', 'help': 'I am an array entry', 'required': 'Entry must not be empty', }) """ def array_with_leafs(): form = factory('fieldset', name='yafowil.widget.array.array_with_leafs') value = ['1', '2', '3'] arr = form['array'] = factory('#array', value=value, props={ 'label': 'My Array', 'help': 'I am an array', 'required': 'Array must at least contain one entry', }) arr['field'] = factory('#arrayfield:text', props={ 'label': 'Entry', 'help': 'I am an array entry', 'required': 'Entry must not be empty', }) return { 'widget': form, 'doc': DOC_ARRAY_WITH_LEAFS, 'title': 'Single field array', } DOC_ARRAY_WITH_COMPOUNDS = """ Array with compounds as array entries ------------------------------------- Array containing compound entries. Preset value is expected as list containing dictionaries addressing array child compound fields by key. .. code-block:: python value = [ {'f1': 'Value 1.1 F1', 'f2': 'Value 1.2 F2'}, {'f1': 'Value 2.1 F1', 'f2': 'Value 2.2 F2'}, ] array = factory('#array', value=value, props={ 'label': 'Compound Array' 'required': 'Array must at least contain one entry', }) compound = array['compound'] = factory('compound') compound['f1'] = factory('#arrayfield:text', props={ 'label': 'Field 1', }) compound['f2'] = factory('#arrayfield:text', props={ 'label': 'Field 2', 'required': 'Field 2 is required', }) """ def array_with_compounds(): form = factory('fieldset', name='yafowil.widget.array.array_with_compounds') value = [ {'f1': 'Value 1.1 F1', 'f2': 'Value 1.2 F2'}, {'f1': 'Value 2.1 F1', 'f2': 'Value 2.2 F2'}, ] arr = form['array'] = factory('#array', value=value, props={ 'label': 'Compound Array', 'required': 'Array must at least contain one entry', }) comp = arr['compound'] = factory('compound') comp['f1'] = factory('#arrayfield:text', props={ 'label': 'Field 1', }) comp['f2'] = factory('#arrayfield:text', props={ 'label': 'Field 2', 'required': 'Field 2 is required', }) return { 'widget': form, 'doc': DOC_ARRAY_WITH_COMPOUNDS, 'title': 'Compound field array', } DOC_ARRAY_WITH_ARRAY_WITH_LEAFS = """ Array in array with single fields --------------------------------- Array in array containing single field entries. Preset value is a 2-dimensional list .. code-block:: python value = [['1', '2'], ['3', '4'], ['5', '6']] array = factory('#array', value=value, props={ 'label': 'Array', 'required': 'Array must at least contain one entry', }) subarray = array['subarray'] = factory('error:array', props={ 'label': 'Subarray', 'required': 'Subarray must at least contain one entry', }) subarray['field'] = factory('#arrayfield:text', props={ 'label': 'Entry', 'required': 'Entry must not be empty', }) """ def array_with_array_with_leafs(): form = factory('fieldset', name='yafowil.widget.array_with_array_with_leafs') value = [['1', '2'], ['3', '4'], ['5', '6']] arr = form['array'] = factory('#array', value=value, props={ 'label': 'Array', 'required': 'Array must at least contain one entry', }) subarr = arr['subarray'] = factory('error:array', props={ 'label': 'Subarray', 'required': 'Subarray must at least contain one entry', }) subarr['field'] = factory('#arrayfield:text', props={ 'label': 'Entry', 'required': 'Entry must not be empty', }) return { 'widget': form, 'doc': DOC_ARRAY_WITH_ARRAY_WITH_LEAFS, 'title': 'Single field array in array', } DOC_ARRAY_WITH_ARRAY_WITH_COMPOUNDS = """\ Array in array with compounds as array entries ---------------------------------------------- Array in array containing compound entries. Preset value is lists in list containing dictionaries addressing inner array child compound fields by key. .. code-block:: python value = [ [{ 'f1': 'Value 0.0 F1', 'f2': 'Value 0.0 F2', }, { 'f1': 'Value 0.1 F1', 'f2': 'Value 0.1 F2', }], [{ 'f1': 'Value 1.0 F1', 'f2': 'Value 1.0 F2', }, { 'f1': 'Value 1.1 F1', 'f2': 'Value 1.1 F2', }] ] array = factory('#array', value=value, props={ 'label': 'Array 1', }) subarray = array['subarray'] = factory('array', props={ 'label': 'Array 2', }) compound = subarray['comp'] = factory('compound') compound['f1'] = factory('#arrayfield:text', props={ 'label': 'F1', }) compound['f2'] = factory('#arrayfield:text', props={ 'label': 'F2', 'required': 'F2 is required', }) """ def array_with_array_with_compounds(): form = factory('fieldset', name='yafowil.widget.array_with_array_with_compounds') value = [ [{ 'f1': 'Value 0.0 F1', 'f2': 'Value 0.0 F2', }, { 'f1': 'Value 0.1 F1', 'f2': 'Value 0.1 F2', }], [{ 'f1': 'Value 1.0 F1', 'f2': 'Value 1.0 F2', }, { 'f1': 'Value 1.1 F1', 'f2': 'Value 1.1 F2', }] ] arr = form['array'] = factory('#array', value=value, props={ 'label': 'Array 1', }) subarr = arr['subarray'] = factory('array', props={ 'label': 'Array 2', }) comp = subarr['comp'] = factory('compound') comp['f1'] = factory('#arrayfield:text', props={ 'label': 'F1', }) comp['f2'] = factory('#arrayfield:text', props={ 'label': 'F2', 'required': 'F2 is required', }) return { 'widget': form, 'doc': DOC_ARRAY_WITH_ARRAY_WITH_COMPOUNDS, 'title': 'Compound array in array', } DOC_ARRAY_WITH_ARRAY_WITH_ARRAY_WITH_LEAFS = """\ 3-Dimensional Array with single fields -------------------------------------- 3-Dimensional array containing single field entries. Preset value is a 3-dimensional list .. code-block:: python value = [[['1', '2'], ['3']], [['4', '5']]] arr_1 = factory('#array', value=value, props={ 'label': 'Array 1', 'help': 'This is Array 1', 'required': 'Array 1 must not be empty', }) arr_2 = arr_1['array_2'] = factory('help:error:array', props={ 'label': 'Array 2', 'help': 'This is Array 2', 'required': 'Array 2 must not be empty', }) arr_3 = arr_2['array_3'] = factory('help:error:array', props={ 'label': 'Array 3', 'help': 'This is Array 3', 'required': 'Array 3 must not be empty', }) arr_3['field'] = factory('#arrayfield:text', props={ 'label': 'Text Field', 'help': 'This is the text field', 'required': 'Text Field is required', }) """ def array_with_array_with_array_with_leafs(): form = factory( 'fieldset', name='yafowil.widget.array_with_array_with_array_with_leafs') value = [[['1', '2'], ['3']], [['4', '5']]] arr_1 = form['array_1'] = factory('#array', value=value, props={ 'label': 'Array 1', 'help': 'This is Array 1', 'required': 'Array 1 must not be empty', }) arr_2 = arr_1['array_2'] = factory('help:error:array', props={ 'label': 'Array 2', 'help': 'This is Array 2', 'required': 'Array 2 must not be empty', }) arr_3 = arr_2['array_3'] = factory('help:error:array', props={ 'label': 'Array 3', 'help': 'This is Array 3', 'required': 'Array 3 must not be empty', }) arr_3['textfield'] = factory('#arrayfield:text', props={ 'label': 'Text Field', 'help': 'This is the text field', 'required': 'Text Field is required', }) return { 'widget': form, 'doc': DOC_ARRAY_WITH_ARRAY_WITH_ARRAY_WITH_LEAFS, 'title': 'Single fields in 3-dimensional array', } DOC_ARRAY_WITH_ARRAY_WITH_ARRAY_WITH_COMPOUNDS = """\ 3-Dimensional Array with compounds ---------------------------------- 3-Dimensional array containing compound entries. Preset value is a 3-dimensional list containing dictionaries addressing most inner array child compound fields by key. .. code-block:: python value = [ [[{ 'f1': 'Value F1', 'f2': 'Value F2', }]], [[{ 'f1': 'Value F1', 'f2': 'Value F2', }]] ] arr_1 = factory('#array', value=value, props={ 'label': 'Array 1', }) arr_2 = arr_1['array_2'] = factory('array', props={ 'label': 'Array 2', }) arr_3 = arr_2['array_3'] = factory('array', props={ 'label': 'Array 3', }) compound = arr_3['comp'] = factory('compound') compound['f1'] = factory('#arrayfield:text', props={ 'label': 'F1', }) compound['f2'] = factory('#arrayfield:text', props={ 'label': 'F2', 'required': 'F2 is required', }) """ def array_with_array_with_array_with_compounds(): form = factory( 'fieldset', name='yafowil.widget.array_with_array_with_array_with_compounds') value = [ [[{ 'f1': 'Value F1', 'f2': 'Value F2', }]], [[{ 'f1': 'Value F1', 'f2': 'Value F2', }]]] arr_1 = form['array_1'] = factory('#array', value=value, props={ 'label': 'Array 1', }) arr_2 = arr_1['array_2'] = factory('array', props={ 'label': 'Array 2', }) arr_3 = arr_2['array_3'] = factory('array', props={ 'label': 'Array 3', }) comp = arr_3['comp'] = factory('compound') comp['f1'] = factory('#arrayfield:text', props={ 'label': 'F1', }) comp['f2'] = factory('#arrayfield:text', props={ 'label': 'F2', 'required': 'F2 is required', }) return { 'widget': form, 'doc': DOC_ARRAY_WITH_ARRAY_WITH_ARRAY_WITH_COMPOUNDS, 'title': 'Compounds in 3-dimensional array', } def get_example(): return [ array_with_leafs(), array_with_compounds(), array_with_array_with_leafs(), array_with_array_with_compounds(), array_with_array_with_array_with_leafs(), array_with_array_with_array_with_compounds(), ]

29.470899

79

0.533303

1,293

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4.465584

0.062645

0.102875

0.07274

0.093523

0.926914

0.906477

0.884829

0.808452

0.760132

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1

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null

0

8

0ba7958059d8fd39269cbaafc44547512b7dbd14

125,624

py

Python

openshift/client/apis/apps_openshift_io_v1_api.py

flaper87/openshift-restclient-python

13d5d86ca89035b9f596032e7a34f3cc33bf8f18

[ "Apache-2.0" ]

null

openshift/client/apis/apps_openshift_io_v1_api.py

flaper87/openshift-restclient-python

13d5d86ca89035b9f596032e7a34f3cc33bf8f18

[ "Apache-2.0" ]

null

openshift/client/apis/apps_openshift_io_v1_api.py

flaper87/openshift-restclient-python

13d5d86ca89035b9f596032e7a34f3cc33bf8f18

[ "Apache-2.0" ]

null

# coding: utf-8 """ OpenShift API (with Kubernetes) OpenShift provides builds, application lifecycle, image content management, and administrative policy on top of Kubernetes. The API allows consistent management of those objects. All API operations are authenticated via an Authorization bearer token that is provided for service accounts as a generated secret (in JWT form) or via the native OAuth endpoint located at /oauth/authorize. Core infrastructure components may use client certificates that require no authentication. All API operations return a 'resourceVersion' string that represents the version of the object in the underlying storage. The standard LIST operation performs a snapshot read of the underlying objects, returning a resourceVersion representing a consistent version of the listed objects. The WATCH operation allows all updates to a set of objects after the provided resourceVersion to be observed by a client. By listing and beginning a watch from the returned resourceVersion, clients may observe a consistent view of the state of one or more objects. Note that WATCH always returns the update after the provided resourceVersion. Watch may be extended a limited time in the past - using etcd 2 the watch window is 1000 events (which on a large cluster may only be a few tens of seconds) so clients must explicitly handle the \"watch to old error\" by re-listing. Objects are divided into two rough categories - those that have a lifecycle and must reflect the state of the cluster, and those that have no state. Objects with lifecycle typically have three main sections: * 'metadata' common to all objects * a 'spec' that represents the desired state * a 'status' that represents how much of the desired state is reflected on the cluster at the current time Objects that have no state have 'metadata' but may lack a 'spec' or 'status' section. Objects are divided into those that are namespace scoped (only exist inside of a namespace) and those that are cluster scoped (exist outside of a namespace). A namespace scoped resource will be deleted when the namespace is deleted and cannot be created if the namespace has not yet been created or is in the process of deletion. Cluster scoped resources are typically only accessible to admins - resources like nodes, persistent volumes, and cluster policy. All objects have a schema that is a combination of the 'kind' and 'apiVersion' fields. This schema is additive only for any given version - no backwards incompatible changes are allowed without incrementing the apiVersion. The server will return and accept a number of standard responses that share a common schema - for instance, the common error type is 'unversioned.Status' (described below) and will be returned on any error from the API server. The API is available in multiple serialization formats - the default is JSON (Accept: application/json and Content-Type: application/json) but clients may also use YAML (application/yaml) or the native Protobuf schema (application/vnd.kubernetes.protobuf). Note that the format of the WATCH API call is slightly different - for JSON it returns newline delimited objects while for Protobuf it returns length-delimited frames (4 bytes in network-order) that contain a 'versioned.Watch' Protobuf object. See the OpenShift documentation at https://docs.openshift.org for more information. OpenAPI spec version: v3.6.0-alpha.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import sys import os import re # python 2 and python 3 compatibility library from six import iteritems from kubernetes.client.configuration import Configuration from ..api_client import ApiClient class AppsOpenshiftIoV1Api(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): config = Configuration() if api_client: self.api_client = api_client else: if not config.api_client: config.api_client = ApiClient() self.api_client = config.api_client def create_apps_openshift_io_v1_deployment_config_for_all_namespaces(self, body, **kwargs): """ create a DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_apps_openshift_io_v1_deployment_config_for_all_namespaces(body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param V1DeploymentConfig body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.create_apps_openshift_io_v1_deployment_config_for_all_namespaces_with_http_info(body, **kwargs) else: (data) = self.create_apps_openshift_io_v1_deployment_config_for_all_namespaces_with_http_info(body, **kwargs) return data def create_apps_openshift_io_v1_deployment_config_for_all_namespaces_with_http_info(self, body, **kwargs): """ create a DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_apps_openshift_io_v1_deployment_config_for_all_namespaces_with_http_info(body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param V1DeploymentConfig body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_apps_openshift_io_v1_deployment_config_for_all_namespaces" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_apps_openshift_io_v1_deployment_config_for_all_namespaces`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/deploymentconfigs'.replace('{format}', 'json') path_params = {} query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1DeploymentConfig', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_apps_openshift_io_v1_namespaced_deployment_config(self, namespace, body, **kwargs): """ create a DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_apps_openshift_io_v1_namespaced_deployment_config(namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeploymentConfig body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.create_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(namespace, body, **kwargs) else: (data) = self.create_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(namespace, body, **kwargs) return data def create_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(self, namespace, body, **kwargs): """ create a DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeploymentConfig body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ all_params = ['namespace', 'body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_apps_openshift_io_v1_namespaced_deployment_config" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `create_apps_openshift_io_v1_namespaced_deployment_config`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_apps_openshift_io_v1_namespaced_deployment_config`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs'.replace('{format}', 'json') path_params = {} if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1DeploymentConfig', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_apps_openshift_io_v1_namespaced_deployment_config_rollback_rollback(self, body, name, namespace, **kwargs): """ create rollback of a DeploymentConfigRollback This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_apps_openshift_io_v1_namespaced_deployment_config_rollback_rollback(body, name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param V1DeploymentConfigRollback body: (required) :param str name: name of the DeploymentConfigRollback (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfigRollback If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.create_apps_openshift_io_v1_namespaced_deployment_config_rollback_rollback_with_http_info(body, name, namespace, **kwargs) else: (data) = self.create_apps_openshift_io_v1_namespaced_deployment_config_rollback_rollback_with_http_info(body, name, namespace, **kwargs) return data def create_apps_openshift_io_v1_namespaced_deployment_config_rollback_rollback_with_http_info(self, body, name, namespace, **kwargs): """ create rollback of a DeploymentConfigRollback This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_apps_openshift_io_v1_namespaced_deployment_config_rollback_rollback_with_http_info(body, name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param V1DeploymentConfigRollback body: (required) :param str name: name of the DeploymentConfigRollback (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfigRollback If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'name', 'namespace', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_apps_openshift_io_v1_namespaced_deployment_config_rollback_rollback" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_apps_openshift_io_v1_namespaced_deployment_config_rollback_rollback`") # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `create_apps_openshift_io_v1_namespaced_deployment_config_rollback_rollback`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `create_apps_openshift_io_v1_namespaced_deployment_config_rollback_rollback`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs/{name}/rollback'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1DeploymentConfigRollback', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_apps_openshift_io_v1_namespaced_deployment_request_instantiate(self, body, name, namespace, **kwargs): """ create instantiate of a DeploymentRequest This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_apps_openshift_io_v1_namespaced_deployment_request_instantiate(body, name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param V1DeploymentRequest body: (required) :param str name: name of the DeploymentRequest (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentRequest If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.create_apps_openshift_io_v1_namespaced_deployment_request_instantiate_with_http_info(body, name, namespace, **kwargs) else: (data) = self.create_apps_openshift_io_v1_namespaced_deployment_request_instantiate_with_http_info(body, name, namespace, **kwargs) return data def create_apps_openshift_io_v1_namespaced_deployment_request_instantiate_with_http_info(self, body, name, namespace, **kwargs): """ create instantiate of a DeploymentRequest This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_apps_openshift_io_v1_namespaced_deployment_request_instantiate_with_http_info(body, name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param V1DeploymentRequest body: (required) :param str name: name of the DeploymentRequest (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentRequest If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'name', 'namespace', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_apps_openshift_io_v1_namespaced_deployment_request_instantiate" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_apps_openshift_io_v1_namespaced_deployment_request_instantiate`") # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `create_apps_openshift_io_v1_namespaced_deployment_request_instantiate`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `create_apps_openshift_io_v1_namespaced_deployment_request_instantiate`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs/{name}/instantiate'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1DeploymentRequest', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_apps_openshift_io_v1_collection_namespaced_deployment_config(self, namespace, **kwargs): """ delete collection of DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_apps_openshift_io_v1_collection_namespaced_deployment_config(namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: UnversionedStatus If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.delete_apps_openshift_io_v1_collection_namespaced_deployment_config_with_http_info(namespace, **kwargs) else: (data) = self.delete_apps_openshift_io_v1_collection_namespaced_deployment_config_with_http_info(namespace, **kwargs) return data def delete_apps_openshift_io_v1_collection_namespaced_deployment_config_with_http_info(self, namespace, **kwargs): """ delete collection of DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_apps_openshift_io_v1_collection_namespaced_deployment_config_with_http_info(namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: UnversionedStatus If the method is called asynchronously, returns the request thread. """ all_params = ['namespace', 'pretty', 'field_selector', 'label_selector', 'resource_version', 'timeout_seconds', 'watch'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_apps_openshift_io_v1_collection_namespaced_deployment_config" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `delete_apps_openshift_io_v1_collection_namespaced_deployment_config`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs'.replace('{format}', 'json') path_params = {} if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] if 'field_selector' in params: query_params['fieldSelector'] = params['field_selector'] if 'label_selector' in params: query_params['labelSelector'] = params['label_selector'] if 'resource_version' in params: query_params['resourceVersion'] = params['resource_version'] if 'timeout_seconds' in params: query_params['timeoutSeconds'] = params['timeout_seconds'] if 'watch' in params: query_params['watch'] = params['watch'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UnversionedStatus', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_apps_openshift_io_v1_namespaced_deployment_config(self, name, namespace, body, **kwargs): """ delete a DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_apps_openshift_io_v1_namespaced_deployment_config(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeleteOptions body: (required) :param str pretty: If 'true', then the output is pretty printed. :param int grace_period_seconds: The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately. :param bool orphan_dependents: Should the dependent objects be orphaned. If true/false, the \"orphan\" finalizer will be added to/removed from the object's finalizers list. :return: UnversionedStatus If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.delete_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(name, namespace, body, **kwargs) else: (data) = self.delete_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(name, namespace, body, **kwargs) return data def delete_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(self, name, namespace, body, **kwargs): """ delete a DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeleteOptions body: (required) :param str pretty: If 'true', then the output is pretty printed. :param int grace_period_seconds: The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately. :param bool orphan_dependents: Should the dependent objects be orphaned. If true/false, the \"orphan\" finalizer will be added to/removed from the object's finalizers list. :return: UnversionedStatus If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty', 'grace_period_seconds', 'orphan_dependents'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_apps_openshift_io_v1_namespaced_deployment_config" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `delete_apps_openshift_io_v1_namespaced_deployment_config`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `delete_apps_openshift_io_v1_namespaced_deployment_config`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `delete_apps_openshift_io_v1_namespaced_deployment_config`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs/{name}'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] if 'grace_period_seconds' in params: query_params['gracePeriodSeconds'] = params['grace_period_seconds'] if 'orphan_dependents' in params: query_params['orphanDependents'] = params['orphan_dependents'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UnversionedStatus', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_apps_openshift_io_v1_api_resources(self, **kwargs): """ get available resources This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_apps_openshift_io_v1_api_resources(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: UnversionedAPIResourceList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_apps_openshift_io_v1_api_resources_with_http_info(**kwargs) else: (data) = self.get_apps_openshift_io_v1_api_resources_with_http_info(**kwargs) return data def get_apps_openshift_io_v1_api_resources_with_http_info(self, **kwargs): """ get available resources This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_apps_openshift_io_v1_api_resources_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: UnversionedAPIResourceList If the method is called asynchronously, returns the request thread. """ all_params = [] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_apps_openshift_io_v1_api_resources" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UnversionedAPIResourceList', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def list_apps_openshift_io_v1_deployment_config_for_all_namespaces(self, **kwargs): """ list or watch objects of kind DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.list_apps_openshift_io_v1_deployment_config_for_all_namespaces(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str pretty: If 'true', then the output is pretty printed. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1DeploymentConfigList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.list_apps_openshift_io_v1_deployment_config_for_all_namespaces_with_http_info(**kwargs) else: (data) = self.list_apps_openshift_io_v1_deployment_config_for_all_namespaces_with_http_info(**kwargs) return data def list_apps_openshift_io_v1_deployment_config_for_all_namespaces_with_http_info(self, **kwargs): """ list or watch objects of kind DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.list_apps_openshift_io_v1_deployment_config_for_all_namespaces_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str pretty: If 'true', then the output is pretty printed. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1DeploymentConfigList If the method is called asynchronously, returns the request thread. """ all_params = ['pretty', 'field_selector', 'label_selector', 'resource_version', 'timeout_seconds', 'watch'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_apps_openshift_io_v1_deployment_config_for_all_namespaces" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/deploymentconfigs'.replace('{format}', 'json') path_params = {} query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] if 'field_selector' in params: query_params['fieldSelector'] = params['field_selector'] if 'label_selector' in params: query_params['labelSelector'] = params['label_selector'] if 'resource_version' in params: query_params['resourceVersion'] = params['resource_version'] if 'timeout_seconds' in params: query_params['timeoutSeconds'] = params['timeout_seconds'] if 'watch' in params: query_params['watch'] = params['watch'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1DeploymentConfigList', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def list_apps_openshift_io_v1_namespaced_deployment_config(self, namespace, **kwargs): """ list or watch objects of kind DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.list_apps_openshift_io_v1_namespaced_deployment_config(namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1DeploymentConfigList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.list_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(namespace, **kwargs) else: (data) = self.list_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(namespace, **kwargs) return data def list_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(self, namespace, **kwargs): """ list or watch objects of kind DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.list_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. :param int timeout_seconds: Timeout for the list/watch call. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1DeploymentConfigList If the method is called asynchronously, returns the request thread. """ all_params = ['namespace', 'pretty', 'field_selector', 'label_selector', 'resource_version', 'timeout_seconds', 'watch'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_apps_openshift_io_v1_namespaced_deployment_config" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `list_apps_openshift_io_v1_namespaced_deployment_config`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs'.replace('{format}', 'json') path_params = {} if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] if 'field_selector' in params: query_params['fieldSelector'] = params['field_selector'] if 'label_selector' in params: query_params['labelSelector'] = params['label_selector'] if 'resource_version' in params: query_params['resourceVersion'] = params['resource_version'] if 'timeout_seconds' in params: query_params['timeoutSeconds'] = params['timeout_seconds'] if 'watch' in params: query_params['watch'] = params['watch'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1DeploymentConfigList', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def patch_apps_openshift_io_v1_namespaced_deployment_config(self, name, namespace, body, **kwargs): """ partially update the specified DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.patch_apps_openshift_io_v1_namespaced_deployment_config(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param UnversionedPatch body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.patch_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(name, namespace, body, **kwargs) else: (data) = self.patch_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(name, namespace, body, **kwargs) return data def patch_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(self, name, namespace, body, **kwargs): """ partially update the specified DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.patch_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param UnversionedPatch body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_apps_openshift_io_v1_namespaced_deployment_config" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `patch_apps_openshift_io_v1_namespaced_deployment_config`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `patch_apps_openshift_io_v1_namespaced_deployment_config`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `patch_apps_openshift_io_v1_namespaced_deployment_config`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs/{name}'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json-patch+json', 'application/merge-patch+json', 'application/strategic-merge-patch+json']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1DeploymentConfig', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def patch_apps_openshift_io_v1_namespaced_deployment_config_status(self, name, namespace, body, **kwargs): """ partially update status of the specified DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.patch_apps_openshift_io_v1_namespaced_deployment_config_status(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param UnversionedPatch body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.patch_apps_openshift_io_v1_namespaced_deployment_config_status_with_http_info(name, namespace, body, **kwargs) else: (data) = self.patch_apps_openshift_io_v1_namespaced_deployment_config_status_with_http_info(name, namespace, body, **kwargs) return data def patch_apps_openshift_io_v1_namespaced_deployment_config_status_with_http_info(self, name, namespace, body, **kwargs): """ partially update status of the specified DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.patch_apps_openshift_io_v1_namespaced_deployment_config_status_with_http_info(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param UnversionedPatch body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_apps_openshift_io_v1_namespaced_deployment_config_status" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `patch_apps_openshift_io_v1_namespaced_deployment_config_status`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `patch_apps_openshift_io_v1_namespaced_deployment_config_status`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `patch_apps_openshift_io_v1_namespaced_deployment_config_status`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs/{name}/status'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json-patch+json', 'application/merge-patch+json', 'application/strategic-merge-patch+json']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1DeploymentConfig', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def patch_apps_openshift_io_v1_namespaced_scale_scale(self, name, namespace, body, **kwargs): """ partially update scale of the specified Scale This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.patch_apps_openshift_io_v1_namespaced_scale_scale(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the Scale (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param UnversionedPatch body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1beta1Scale If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.patch_apps_openshift_io_v1_namespaced_scale_scale_with_http_info(name, namespace, body, **kwargs) else: (data) = self.patch_apps_openshift_io_v1_namespaced_scale_scale_with_http_info(name, namespace, body, **kwargs) return data def patch_apps_openshift_io_v1_namespaced_scale_scale_with_http_info(self, name, namespace, body, **kwargs): """ partially update scale of the specified Scale This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.patch_apps_openshift_io_v1_namespaced_scale_scale_with_http_info(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the Scale (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param UnversionedPatch body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1beta1Scale If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_apps_openshift_io_v1_namespaced_scale_scale" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `patch_apps_openshift_io_v1_namespaced_scale_scale`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `patch_apps_openshift_io_v1_namespaced_scale_scale`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `patch_apps_openshift_io_v1_namespaced_scale_scale`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs/{name}/scale'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json-patch+json', 'application/merge-patch+json', 'application/strategic-merge-patch+json']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1beta1Scale', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def read_apps_openshift_io_v1_namespaced_deployment_config(self, name, namespace, **kwargs): """ read the specified DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.read_apps_openshift_io_v1_namespaced_deployment_config(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :param bool exact: Should the export be exact. Exact export maintains cluster-specific fields like 'Namespace' :param bool export: Should this value be exported. Export strips fields that a user can not specify. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.read_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(name, namespace, **kwargs) else: (data) = self.read_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(name, namespace, **kwargs) return data def read_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(self, name, namespace, **kwargs): """ read the specified DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.read_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :param bool exact: Should the export be exact. Exact export maintains cluster-specific fields like 'Namespace' :param bool export: Should this value be exported. Export strips fields that a user can not specify. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'pretty', 'exact', 'export'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method read_apps_openshift_io_v1_namespaced_deployment_config" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `read_apps_openshift_io_v1_namespaced_deployment_config`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `read_apps_openshift_io_v1_namespaced_deployment_config`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs/{name}'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] if 'exact' in params: query_params['exact'] = params['exact'] if 'export' in params: query_params['export'] = params['export'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1DeploymentConfig', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def read_apps_openshift_io_v1_namespaced_deployment_config_status(self, name, namespace, **kwargs): """ read status of the specified DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.read_apps_openshift_io_v1_namespaced_deployment_config_status(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.read_apps_openshift_io_v1_namespaced_deployment_config_status_with_http_info(name, namespace, **kwargs) else: (data) = self.read_apps_openshift_io_v1_namespaced_deployment_config_status_with_http_info(name, namespace, **kwargs) return data def read_apps_openshift_io_v1_namespaced_deployment_config_status_with_http_info(self, name, namespace, **kwargs): """ read status of the specified DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.read_apps_openshift_io_v1_namespaced_deployment_config_status_with_http_info(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method read_apps_openshift_io_v1_namespaced_deployment_config_status" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `read_apps_openshift_io_v1_namespaced_deployment_config_status`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `read_apps_openshift_io_v1_namespaced_deployment_config_status`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs/{name}/status'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1DeploymentConfig', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def read_apps_openshift_io_v1_namespaced_deployment_log_log(self, name, namespace, **kwargs): """ read log of the specified DeploymentLog This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.read_apps_openshift_io_v1_namespaced_deployment_log_log(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentLog (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str container: The container for which to stream logs. Defaults to only container if there is one container in the pod. :param bool follow: Follow if true indicates that the build log should be streamed until the build terminates. :param int limit_bytes: If set, the number of bytes to read from the server before terminating the log output. This may not display a complete final line of logging, and may return slightly more or slightly less than the specified limit. :param bool nowait: NoWait if true causes the call to return immediately even if the deployment is not available yet. Otherwise the server will wait until the deployment has started. :param str pretty: If 'true', then the output is pretty printed. :param bool previous: Return previous deployment logs. Defaults to false. :param int since_seconds: A relative time in seconds before the current time from which to show logs. If this value precedes the time a pod was started, only logs since the pod start will be returned. If this value is in the future, no logs will be returned. Only one of sinceSeconds or sinceTime may be specified. :param str since_time: An RFC3339 timestamp from which to show logs. If this value precedes the time a pod was started, only logs since the pod start will be returned. If this value is in the future, no logs will be returned. Only one of sinceSeconds or sinceTime may be specified. :param int tail_lines: If set, the number of lines from the end of the logs to show. If not specified, logs are shown from the creation of the container or sinceSeconds or sinceTime :param bool timestamps: If true, add an RFC3339 or RFC3339Nano timestamp at the beginning of every line of log output. Defaults to false. :param int version: Version of the deployment for which to view logs. :return: V1DeploymentLog If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.read_apps_openshift_io_v1_namespaced_deployment_log_log_with_http_info(name, namespace, **kwargs) else: (data) = self.read_apps_openshift_io_v1_namespaced_deployment_log_log_with_http_info(name, namespace, **kwargs) return data def read_apps_openshift_io_v1_namespaced_deployment_log_log_with_http_info(self, name, namespace, **kwargs): """ read log of the specified DeploymentLog This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.read_apps_openshift_io_v1_namespaced_deployment_log_log_with_http_info(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentLog (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str container: The container for which to stream logs. Defaults to only container if there is one container in the pod. :param bool follow: Follow if true indicates that the build log should be streamed until the build terminates. :param int limit_bytes: If set, the number of bytes to read from the server before terminating the log output. This may not display a complete final line of logging, and may return slightly more or slightly less than the specified limit. :param bool nowait: NoWait if true causes the call to return immediately even if the deployment is not available yet. Otherwise the server will wait until the deployment has started. :param str pretty: If 'true', then the output is pretty printed. :param bool previous: Return previous deployment logs. Defaults to false. :param int since_seconds: A relative time in seconds before the current time from which to show logs. If this value precedes the time a pod was started, only logs since the pod start will be returned. If this value is in the future, no logs will be returned. Only one of sinceSeconds or sinceTime may be specified. :param str since_time: An RFC3339 timestamp from which to show logs. If this value precedes the time a pod was started, only logs since the pod start will be returned. If this value is in the future, no logs will be returned. Only one of sinceSeconds or sinceTime may be specified. :param int tail_lines: If set, the number of lines from the end of the logs to show. If not specified, logs are shown from the creation of the container or sinceSeconds or sinceTime :param bool timestamps: If true, add an RFC3339 or RFC3339Nano timestamp at the beginning of every line of log output. Defaults to false. :param int version: Version of the deployment for which to view logs. :return: V1DeploymentLog If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'container', 'follow', 'limit_bytes', 'nowait', 'pretty', 'previous', 'since_seconds', 'since_time', 'tail_lines', 'timestamps', 'version'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method read_apps_openshift_io_v1_namespaced_deployment_log_log" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `read_apps_openshift_io_v1_namespaced_deployment_log_log`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `read_apps_openshift_io_v1_namespaced_deployment_log_log`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs/{name}/log'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'container' in params: query_params['container'] = params['container'] if 'follow' in params: query_params['follow'] = params['follow'] if 'limit_bytes' in params: query_params['limitBytes'] = params['limit_bytes'] if 'nowait' in params: query_params['nowait'] = params['nowait'] if 'pretty' in params: query_params['pretty'] = params['pretty'] if 'previous' in params: query_params['previous'] = params['previous'] if 'since_seconds' in params: query_params['sinceSeconds'] = params['since_seconds'] if 'since_time' in params: query_params['sinceTime'] = params['since_time'] if 'tail_lines' in params: query_params['tailLines'] = params['tail_lines'] if 'timestamps' in params: query_params['timestamps'] = params['timestamps'] if 'version' in params: query_params['version'] = params['version'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1DeploymentLog', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def read_apps_openshift_io_v1_namespaced_scale_scale(self, name, namespace, **kwargs): """ read scale of the specified Scale This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.read_apps_openshift_io_v1_namespaced_scale_scale(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the Scale (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1beta1Scale If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.read_apps_openshift_io_v1_namespaced_scale_scale_with_http_info(name, namespace, **kwargs) else: (data) = self.read_apps_openshift_io_v1_namespaced_scale_scale_with_http_info(name, namespace, **kwargs) return data def read_apps_openshift_io_v1_namespaced_scale_scale_with_http_info(self, name, namespace, **kwargs): """ read scale of the specified Scale This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.read_apps_openshift_io_v1_namespaced_scale_scale_with_http_info(name, namespace, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the Scale (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1beta1Scale If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method read_apps_openshift_io_v1_namespaced_scale_scale" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `read_apps_openshift_io_v1_namespaced_scale_scale`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `read_apps_openshift_io_v1_namespaced_scale_scale`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs/{name}/scale'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1beta1Scale', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def replace_apps_openshift_io_v1_namespaced_deployment_config(self, name, namespace, body, **kwargs): """ replace the specified DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.replace_apps_openshift_io_v1_namespaced_deployment_config(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeploymentConfig body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.replace_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(name, namespace, body, **kwargs) else: (data) = self.replace_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(name, namespace, body, **kwargs) return data def replace_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(self, name, namespace, body, **kwargs): """ replace the specified DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.replace_apps_openshift_io_v1_namespaced_deployment_config_with_http_info(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeploymentConfig body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method replace_apps_openshift_io_v1_namespaced_deployment_config" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `replace_apps_openshift_io_v1_namespaced_deployment_config`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `replace_apps_openshift_io_v1_namespaced_deployment_config`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `replace_apps_openshift_io_v1_namespaced_deployment_config`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs/{name}'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1DeploymentConfig', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def replace_apps_openshift_io_v1_namespaced_deployment_config_status(self, name, namespace, body, **kwargs): """ replace status of the specified DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.replace_apps_openshift_io_v1_namespaced_deployment_config_status(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeploymentConfig body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.replace_apps_openshift_io_v1_namespaced_deployment_config_status_with_http_info(name, namespace, body, **kwargs) else: (data) = self.replace_apps_openshift_io_v1_namespaced_deployment_config_status_with_http_info(name, namespace, body, **kwargs) return data def replace_apps_openshift_io_v1_namespaced_deployment_config_status_with_http_info(self, name, namespace, body, **kwargs): """ replace status of the specified DeploymentConfig This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.replace_apps_openshift_io_v1_namespaced_deployment_config_status_with_http_info(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the DeploymentConfig (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeploymentConfig body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1DeploymentConfig If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method replace_apps_openshift_io_v1_namespaced_deployment_config_status" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `replace_apps_openshift_io_v1_namespaced_deployment_config_status`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `replace_apps_openshift_io_v1_namespaced_deployment_config_status`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `replace_apps_openshift_io_v1_namespaced_deployment_config_status`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs/{name}/status'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1DeploymentConfig', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def replace_apps_openshift_io_v1_namespaced_scale_scale(self, name, namespace, body, **kwargs): """ replace scale of the specified Scale This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.replace_apps_openshift_io_v1_namespaced_scale_scale(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the Scale (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1beta1Scale body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1beta1Scale If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.replace_apps_openshift_io_v1_namespaced_scale_scale_with_http_info(name, namespace, body, **kwargs) else: (data) = self.replace_apps_openshift_io_v1_namespaced_scale_scale_with_http_info(name, namespace, body, **kwargs) return data def replace_apps_openshift_io_v1_namespaced_scale_scale_with_http_info(self, name, namespace, body, **kwargs): """ replace scale of the specified Scale This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.replace_apps_openshift_io_v1_namespaced_scale_scale_with_http_info(name, namespace, body, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str name: name of the Scale (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1beta1Scale body: (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1beta1Scale If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method replace_apps_openshift_io_v1_namespaced_scale_scale" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params) or (params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `replace_apps_openshift_io_v1_namespaced_scale_scale`") # verify the required parameter 'namespace' is set if ('namespace' not in params) or (params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `replace_apps_openshift_io_v1_namespaced_scale_scale`") # verify the required parameter 'body' is set if ('body' not in params) or (params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `replace_apps_openshift_io_v1_namespaced_scale_scale`") collection_formats = {} resource_path = '/apis/apps.openshift.io/v1/namespaces/{namespace}/deploymentconfigs/{name}/scale'.replace('{format}', 'json') path_params = {} if 'name' in params: path_params['name'] = params['name'] if 'namespace' in params: path_params['namespace'] = params['namespace'] query_params = {} if 'pretty' in params: query_params['pretty'] = params['pretty'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['*/*']) # Authentication setting auth_settings = ['BearerToken'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1beta1Scale', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

52.983551

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125,624

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0.033017

0.038096

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b2e88630445cfe56752f2269ec44c8da88ce1e33

23,685

py

Python

panda/tests/test_api_dataset.py

eads/panda

3e343b9e30288abfe39a4a4bff72277d7635dc77

[ "MIT" ]

1

2017-04-11T07:26:06.000Z

panda/tests/test_api_dataset.py

eads/panda

3e343b9e30288abfe39a4a4bff72277d7635dc77

[ "MIT" ]

null

panda/tests/test_api_dataset.py

eads/panda

3e343b9e30288abfe39a4a4bff72277d7635dc77

[ "MIT" ]

null

#!/usr/bin/env python from django.conf import settings from django.test import TestCase, TransactionTestCase from django.test.client import Client from django.utils import simplejson as json from tastypie.bundle import Bundle from panda import solr from panda.api.datasets import DatasetValidation from panda.models import Category, Dataset from panda.tests import utils class TestDatasetValidation(TestCase): def setUp(self): self.validator = DatasetValidation() def test_required_fields(self): bundle = Bundle(data={}) errors = self.validator.is_valid(bundle) self.assertIn('name', errors) class TestAPIDataset(TransactionTestCase): fixtures = ['init_panda.json'] def setUp(self): settings.CELERY_ALWAYS_EAGER = True utils.setup_test_solr() self.user = utils.get_panda_user() self.dataset = utils.get_test_dataset(self.user) self.upload = utils.get_test_data_upload(self.user, self.dataset) self.auth_headers = utils.get_auth_headers() self.client = Client() def test_get(self): # Import so that there will be a task object self.dataset.import_data(self.user, self.upload, 0) utils.wait() # Refetch dataset so that attributes will be updated self.dataset = Dataset.objects.get(id=self.dataset.id) response = self.client.get('/api/1.0/dataset/%s/' % self.dataset.slug, **self.auth_headers) self.assertEqual(response.status_code, 200) body = json.loads(response.content) self.assertEqual(body['name'], self.dataset.name) self.assertEqual(body['description'], self.dataset.description) self.assertEqual(body['row_count'], self.dataset.row_count) self.assertEqual(body['sample_data'], self.dataset.sample_data) self.assertEqual(body['column_schema'], self.dataset.column_schema) self.assertEqual(body['creator']['email'], self.dataset.creator.email) task_response = self.client.get('/api/1.0/task/%i/' % self.dataset.current_task.id, **self.auth_headers) self.assertEqual(task_response.status_code, 200) self.assertEqual(body['current_task'], json.loads(task_response.content)) self.assertEqual(len(body['related_uploads']), 0) self.assertEqual(len(body['data_uploads']), 1) self.assertEqual(body['initial_upload'], '/api/1.0/data_upload/%i/' % self.dataset.initial_upload.id) def test_get_unauthorized(self): response = self.client.get('/api/1.0/dataset/%s/' % self.dataset.slug) self.assertEqual(response.status_code, 401) def test_get_inactive(self): self.user.is_active = False self.user.save() response = self.client.get('/api/1.0/dataset/%s/' % self.dataset.slug, **self.auth_headers) self.assertEqual(response.status_code, 401) self.user.is_active = True self.user.save() def test_list(self): response = self.client.get('/api/1.0/dataset/', data={ 'limit': 5 }, **self.auth_headers) self.assertEqual(response.status_code, 200) body = json.loads(response.content) self.assertEqual(len(body['objects']), 1) self.assertEqual(body['meta']['total_count'], 1) self.assertEqual(body['meta']['limit'], 5) self.assertEqual(body['meta']['offset'], 0) self.assertEqual(body['meta']['next'], None) self.assertEqual(body['meta']['previous'], None) def test_list_filtered_by_category_miss(self): response = self.client.get('/api/1.0/dataset/', data={ 'category': 'crime' }, **self.auth_headers) self.assertEqual(response.status_code, 200) body = json.loads(response.content) self.assertEqual(len(body['objects']), 0) self.assertEqual(body['meta']['total_count'], 0) def test_list_filtered_by_category_hit(self): category = Category.objects.get(slug='crime') self.dataset.categories.add(category) self.dataset.save() self.dataset.update_full_text() response = self.client.get('/api/1.0/dataset/', data={ 'category': 'crime' }, **self.auth_headers) self.assertEqual(response.status_code, 200) body = json.loads(response.content) self.assertEqual(len(body['objects']), 1) self.assertEqual(body['meta']['total_count'], 1) self.assertEqual(int(body['objects'][0]['id']), self.dataset.id) def test_create_post(self): new_dataset = { 'name': 'New dataset!', 'description': 'Its got yummy data!' } response = self.client.post('/api/1.0/dataset/', content_type='application/json', data=json.dumps(new_dataset), **self.auth_headers) self.assertEqual(response.status_code, 201) body = json.loads(response.content) self.assertEqual(body['name'], 'New dataset!') self.assertEqual(body['slug'], 'new-dataset') self.assertEqual(body['description'], 'Its got yummy data!') self.assertEqual(body['row_count'], None) self.assertEqual(body['column_schema'], None) self.assertEqual(body['sample_data'], None) self.assertEqual(body['current_task'], None) self.assertEqual(body['initial_upload'], None) self.assertEqual(body['related_uploads'], []) self.assertEqual(body['data_uploads'], []) new_dataset = Dataset.objects.get(id=body['id']) self.assertEqual(new_dataset.name, 'New dataset!') self.assertEqual(new_dataset.description, 'Its got yummy data!') self.assertEqual(new_dataset.row_count, None) self.assertEqual(new_dataset.column_schema, None) self.assertEqual(new_dataset.sample_data, None) self.assertEqual(new_dataset.current_task, None) self.assertEqual(new_dataset.initial_upload, None) self.assertEqual(new_dataset.related_uploads.count(), 0) self.assertEqual(new_dataset.data_uploads.count(), 0) def test_create_post_slug(self): # Verify that new slugs are NOT created via POST. new_dataset = { 'slug': 'new-slug', 'name': 'New dataset!', 'description': 'Its got yummy data!' } response = self.client.post('/api/1.0/dataset/', content_type='application/json', data=json.dumps(new_dataset), **self.auth_headers) self.assertEqual(response.status_code, 201) body = json.loads(response.content) self.assertEqual(body['slug'], 'new-slug') new_dataset = Dataset.objects.get(id=body['id']) self.assertEqual(new_dataset.slug, 'new-slug') def test_create_put(self): new_dataset = { 'name': 'New dataset!', 'description': 'Its got yummy data!' } response = self.client.put('/api/1.0/dataset/new-id/', content_type='application/json', data=json.dumps(new_dataset), **self.auth_headers) self.assertEqual(response.status_code, 201) body = json.loads(response.content) self.assertEqual(body['name'], 'New dataset!') self.assertEqual(body['slug'], 'new-id') self.assertEqual(body['description'], 'Its got yummy data!') self.assertEqual(body['row_count'], None) self.assertEqual(body['column_schema'], None) self.assertEqual(body['sample_data'], None) self.assertEqual(body['current_task'], None) self.assertEqual(body['initial_upload'], None) self.assertEqual(body['data_uploads'], []) new_dataset = Dataset.objects.get(id=body['id']) self.assertEqual(new_dataset.name, 'New dataset!') self.assertEqual(new_dataset.slug, 'new-id') self.assertEqual(new_dataset.description, 'Its got yummy data!') self.assertEqual(new_dataset.row_count, None) self.assertEqual(new_dataset.column_schema, None) self.assertEqual(new_dataset.sample_data, None) self.assertEqual(new_dataset.current_task, None) self.assertEqual(new_dataset.initial_upload, None) self.assertEqual(new_dataset.data_uploads.count(), 0) def test_create_put_twice(self): new_dataset = { 'name': 'New dataset!', 'description': 'Its got yummy data!' } response = self.client.put('/api/1.0/dataset/new-slug/', content_type='application/json', data=json.dumps(new_dataset), **self.auth_headers) self.assertEqual(response.status_code, 201) update_dataset = { 'name': 'Updated dataset!' } body = json.loads(response.content) self.assertEqual(body['name'], 'New dataset!') self.assertEqual(body['slug'], 'new-slug') dataset_id = body['id'] response = self.client.put('/api/1.0/dataset/new-slug/', content_type='application/json', data=json.dumps(update_dataset), **self.auth_headers) self.assertEqual(response.status_code, 202) body = json.loads(response.content) self.assertEqual(body['name'], 'Updated dataset!') self.assertEqual(body['slug'], 'new-slug') self.assertEqual(body['id'], dataset_id) # One dataset is created by setup self.assertEqual(Dataset.objects.all().count(), 2) def test_put_different_slug(self): new_dataset = { 'name': 'New dataset!', 'description': 'Its got yummy data!' } response = self.client.put('/api/1.0/dataset/new-slug/', content_type='application/json', data=json.dumps(new_dataset), **self.auth_headers) self.assertEqual(response.status_code, 201) update_dataset = { 'slug': 'changed-slug', 'name': 'Updated dataset!' } response = self.client.put('/api/1.0/dataset/new-slug/', content_type='application/json', data=json.dumps(update_dataset), **self.auth_headers) self.assertEqual(response.status_code, 202) body = json.loads(response.content) self.assertEqual(body['slug'], 'new-slug') new_dataset = Dataset.objects.get(id=body['id']) self.assertEqual(new_dataset.slug, 'new-slug') def test_create_as_new_user(self): new_user = { 'email': 'tester@tester.com', 'password': 'test', 'first_name': 'Testy', 'last_name': 'McTester' } response = self.client.post('/api/1.0/user/', content_type='application/json', data=json.dumps(new_user), **utils.get_auth_headers('panda@pandaproject.net')) self.assertEqual(response.status_code, 201) new_dataset = { 'name': 'New dataset!', 'description': 'Its got yummy data!' } response = self.client.post('/api/1.0/dataset/', content_type='application/json', data=json.dumps(new_dataset), **utils.get_auth_headers('tester@tester.com')) self.assertEqual(response.status_code, 201) def test_update_readonly(self): response = self.client.get('/api/1.0/dataset/%s/' % self.dataset.slug, content_type='application/json', **utils.get_auth_headers('panda@pandaproject.net')) data = json.loads(response.content) row_count = data['row_count'] data['row_count'] = 2717 response = self.client.put('/api/1.0/dataset/%s/' % self.dataset.slug, content_type='application/json', data=json.dumps(data), **utils.get_auth_headers('panda@pandaproject.net')) new_data = json.loads(response.content) self.assertEqual(new_data['row_count'], row_count) # Refresh self.dataset = Dataset.objects.get(id=self.dataset.id) self.assertEqual(self.dataset.row_count, row_count) def test_create_with_schema(self): new_dataset = { 'name': 'New dataset!' } response = self.client.post('/api/1.0/dataset/?columns=foo,bar,baz&typed_columns=True,,False&column_types=int,unicode,date', content_type='application/json', data=json.dumps(new_dataset), **self.auth_headers) self.assertEqual(response.status_code, 201) body = json.loads(response.content) self.assertEqual([c['name'] for c in body['column_schema']], ['foo', 'bar', 'baz']) self.assertEqual([c['indexed'] for c in body['column_schema']], [True, False, False]) self.assertEqual([c['type'] for c in body['column_schema']], ['int', 'unicode', 'date']) new_dataset = Dataset.objects.get(id=body['id']) self.assertEqual([c['name'] for c in new_dataset.column_schema], ['foo', 'bar', 'baz']) self.assertEqual([c['indexed'] for c in new_dataset.column_schema], [True, False, False]) self.assertEqual([c['type'] for c in new_dataset.column_schema], ['int', 'unicode', 'date']) def test_import_data(self): response = self.client.get('/api/1.0/dataset/%s/import/%i/' % (self.dataset.slug, self.upload.id), **self.auth_headers) utils.wait() self.assertEqual(response.status_code, 200) body = json.loads(response.content) self.assertNotEqual(body['current_task'], None) self.assertEqual(body['current_task']['task_name'], 'panda.tasks.import.csv') # Refetch dataset so that attributes will be updated self.dataset = Dataset.objects.get(id=self.dataset.id) self.assertEqual(self.dataset.row_count, 4) self.assertEqual([c['name'] for c in self.dataset.column_schema], self.upload.columns) self.assertEqual(self.dataset.initial_upload, self.upload) self.assertEqual(self.dataset.sample_data, self.upload.sample_data) task = self.dataset.current_task self.assertNotEqual(task, None) self.assertEqual(task.status, 'SUCCESS') self.assertEqual(task.task_name, 'panda.tasks.import.csv') self.assertNotEqual(task.start, None) self.assertNotEqual(task.end, None) self.assertEqual(task.traceback, None) self.assertEqual(solr.query(settings.SOLR_DATA_CORE, 'Christopher')['response']['numFound'], 1) def test_import_data_locked(self): # Note - testing a race condition here, should find a better way response = self.client.get('/api/1.0/dataset/%s/import/%i/' % (self.dataset.slug, self.upload.id), **self.auth_headers) response = self.client.get('/api/1.0/dataset/%s/import/%i/' % (self.dataset.slug, self.upload.id), **self.auth_headers) self.assertEqual(response.status_code, 403) def test_import_data_unauthorized(self): response = self.client.get('/api/1.0/dataset/%s/import/%i/' % (self.dataset.slug, self.upload.id)) self.assertEqual(response.status_code, 401) def test_reindex_data(self): response = self.client.get('/api/1.0/dataset/%s/import/%i/' % (self.dataset.slug, self.upload.id), **self.auth_headers) utils.wait() response = self.client.get('/api/1.0/dataset/%s/reindex/?typed_columns=True,False,False,False' % (self.dataset.slug), **self.auth_headers) utils.wait() self.assertEqual(response.status_code, 200) # Refetch dataset so that attributes will be updated self.dataset = Dataset.objects.get(id=self.dataset.id) self.assertEqual(self.dataset.row_count, 4) self.assertEqual([c['name'] for c in self.dataset.column_schema], self.upload.columns) self.assertEqual(self.dataset.initial_upload, self.upload) self.assertEqual(self.dataset.sample_data, self.upload.sample_data) task = self.dataset.current_task self.assertNotEqual(task, None) self.assertEqual(task.status, 'SUCCESS') self.assertEqual(task.task_name, 'panda.tasks.reindex') self.assertNotEqual(task.start, None) self.assertNotEqual(task.end, None) self.assertEqual(task.traceback, None) self.assertEqual(solr.query(settings.SOLR_DATA_CORE, 'column_int_id:3')['response']['numFound'], 1) def test_reindex_data_no_data(self): response = self.client.get('/api/1.0/dataset/%s/reindex/' % (self.dataset.slug), **self.auth_headers) utils.wait() self.assertEqual(response.status_code, 400) def test_reindex_data_invalid_columns(self): response = self.client.get('/api/1.0/dataset/%s/import/%i/' % (self.dataset.slug, self.upload.id), **self.auth_headers) utils.wait() response = self.client.get('/api/1.0/dataset/%s/reindex/?typed_columns=True,False,False' % (self.dataset.slug), **self.auth_headers) utils.wait() self.assertEqual(response.status_code, 400) def test_export_data(self): self.dataset.import_data(self.user, self.upload, 0) utils.wait() response = self.client.get('/api/1.0/dataset/%s/export/' % self.dataset.slug, **self.auth_headers) utils.wait() self.assertEqual(response.status_code, 200) body = json.loads(response.content) self.assertNotEqual(body['current_task'], None) self.assertEqual(body['current_task']['task_name'], 'panda.tasks.export.csv') # Refetch dataset so that attributes will be updated self.dataset = Dataset.objects.get(id=self.dataset.id) task = self.dataset.current_task self.assertNotEqual(task, None) self.assertEqual(task.status, 'SUCCESS') self.assertEqual(task.task_name, 'panda.tasks.export.csv') self.assertNotEqual(task.start, None) self.assertNotEqual(task.end, None) self.assertEqual(task.traceback, None) def test_get_datum(self): self.dataset.import_data(self.user, self.upload, 0) utils.wait() # Refetch dataset so that attributes will be updated self.dataset = Dataset.objects.get(id=self.dataset.id) # Get id of a datum in Solr datum = solr.query(settings.SOLR_DATA_CORE, 'dataset_slug:%s AND Brian' % self.dataset.slug)['response']['docs'][0] response = self.client.get('/api/1.0/dataset/%s/data/%s/' % (self.dataset.slug, datum['external_id']), **self.auth_headers) self.assertEqual(response.status_code, 200) body = json.loads(response.content) # Verify that correct attributes of the dataset are attached self.assertEqual(body['external_id'], datum['external_id']) self.assertEqual(body['dataset'], '/api/1.0/dataset/%s/' % self.dataset.slug) def test_get_data(self): self.dataset.import_data(self.user, self.upload, 0) utils.wait() # Refetch dataset so that attributes will be updated self.dataset = Dataset.objects.get(id=self.dataset.id) # Import second dataset so we can make sure only one is matched second_dataset = Dataset.objects.create( name='Second dataset', creator=self.dataset.creator) # Bending a rules a bit since this upload is associated with the other dataset second_dataset.import_data(self.user, self.upload, 0) utils.wait() response = self.client.get('/api/1.0/dataset/%s/data/' % self.dataset.slug, **self.auth_headers) self.assertEqual(response.status_code, 200) body = json.loads(response.content) # Verify that correct attributes of the dataset are attached self.assertEqual(int(body['id']), self.dataset.id) self.assertEqual(body['name'], self.dataset.name) self.assertEqual(body['row_count'], self.dataset.row_count) self.assertEqual(body['column_schema'], self.dataset.column_schema) # Test that only one dataset was matched self.assertEqual(body['meta']['total_count'], 4) self.assertEqual(len(body['objects']), 4) self.assertEqual(body['objects'][0]['data'][1], 'Brian') def test_search_data(self): self.dataset.import_data(self.user, self.upload, 0) utils.wait() # Refetch dataset so that attributes will be updated self.dataset = Dataset.objects.get(id=self.dataset.id) # Import second dataset so we can make sure only one is matched second_dataset = Dataset.objects.create( name='Second dataset', creator=self.dataset.creator) # Bending the rules again... second_dataset.import_data(self.user, self.upload, 0) utils.wait() response = self.client.get('/api/1.0/dataset/%s/data/?q=Christopher' % self.dataset.slug, **self.auth_headers) self.assertEqual(response.status_code, 200) body = json.loads(response.content) # Verify that correct attributes of the dataset are attached self.assertEqual(int(body['id']), self.dataset.id) self.assertEqual(body['name'], self.dataset.name) self.assertEqual(body['row_count'], self.dataset.row_count) self.assertEqual(body['column_schema'], self.dataset.column_schema) # Test that only one dataset was matched self.assertEqual(body['meta']['total_count'], 1) self.assertEqual(len(body['objects']), 1) self.assertEqual(body['objects'][0]['data'][1], 'Christopher') def test_search_data_limit(self): self.dataset.import_data(self.user, self.upload, 0) utils.wait() response = self.client.get('/api/1.0/dataset/%s/data/?q=Tribune&limit=1' % self.dataset.slug, **self.auth_headers) self.assertEqual(response.status_code, 200) body = json.loads(response.content) self.assertEqual(body['meta']['limit'], 1) self.assertEqual(body['meta']['offset'], 0) self.assertEqual(body['meta']['total_count'], 2) self.assertIs(body['meta']['previous'], None) self.assertIsNot(body['meta']['next'], None) self.assertEqual(len(body['objects']), 1) def test_search_data_unauthorized(self): response = self.client.get('/api/1.0/dataset/%s/data/?q=Christopher' % self.dataset.slug) self.assertEqual(response.status_code, 401) def test_search_datasets(self): second_dataset = Dataset.objects.create( name='Second dataset', description='contributors', creator=self.dataset.creator) second_dataset.update_full_text() # Should match both response = self.client.get('/api/1.0/dataset/?q=contributors', **self.auth_headers) self.assertEqual(response.status_code, 200) body = json.loads(response.content) self.assertEqual(body['meta']['total_count'], 2) self.assertEqual(len(body['objects']), 2) # Should match only the second dataset response = self.client.get('/api/1.0/dataset/?q=second', **self.auth_headers) self.assertEqual(response.status_code, 200) body = json.loads(response.content) self.assertEqual(body['meta']['total_count'], 1) self.assertEqual(len(body['objects']), 1) self.assertEqual(int(body['objects'][0]['id']), second_dataset.id) def test_search_datasets_simple(self): response = self.client.get('/api/1.0/dataset/?q=contributors&simple=true', **self.auth_headers) self.assertEqual(response.status_code, 200) body = json.loads(response.content) self.assertEqual(body['meta']['total_count'], 1) self.assertEqual(len(body['objects']), 1) self.assertEqual(int(body['objects'][0]['id']), self.dataset.id) self.assertNotIn('related_uploads', body['objects'][0]) self.assertNotIn('data_uploads', body['objects'][0]) self.assertNotIn('sample_data', body['objects'][0]) self.assertNotIn('current_task', body['objects'][0])

38.512195

216

0.652312

2,987

23,685

5.050552

0.078005

0.156105

0.076826

0.028636

0.821291

0.796566

0.765677

0.74062

0.724248

0.715299

0

0.012346

0.203167

23,685

614

217

38.574919

0.786997

0.047921

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0.594872

0

0.005128

0.15388

0.045907

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0.448718

1

0.079487

false

0.002564

0.071795

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0.158974

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null

0

1

0

null

0

1

0

7

b2f34a78d4b90c31e534b2ad98d920ac8e6fad84

129

py

Python

src/lesson_mathematics/math_gcd.py

jasonwee/asus-rt-n14uhp-mrtg

4fa96c3406e32ea6631ce447db6d19d70b2cd061

[ "Apache-2.0" ]

3

2018-08-14T09:33:52.000Z

2022-03-21T12:31:58.000Z

src/lesson_mathematics/math_gcd.py

jasonwee/asus-rt-n14uhp-mrtg

4fa96c3406e32ea6631ce447db6d19d70b2cd061

[ "Apache-2.0" ]

null

src/lesson_mathematics/math_gcd.py

jasonwee/asus-rt-n14uhp-mrtg

4fa96c3406e32ea6631ce447db6d19d70b2cd061

[ "Apache-2.0" ]

null

import math print(math.gcd(10, 8)) print(math.gcd(10, 0)) print(math.gcd(50, 225)) print(math.gcd(11, 9)) print(math.gcd(0, 0))

16.125

24

0.666667

27

129

3.185185

0.407407

0.523256

0.697674

0.325581

0

0.137931

0.100775

129

7

25

18.428571

0.603448

0

1

0

true

0

0.166667

0

0.166667

0.833333

1

0

null

1

0

1

0

null

0

1

0

1

0

7

653906019832150270fc67d0fd662770dd2f0b1c

6,291

py

Python

lib/meshrenderer/gl_utils/texture.py

AlbertoRemus/GDR_Net

114cff27c6fc6048724a6f2bdce2306ab51d798e

[ "Apache-2.0" ]

132

2021-02-25T10:45:29.000Z

2022-03-30T06:54:26.000Z

lib/meshrenderer/gl_utils/texture.py

AlbertoRemus/GDR_Net

114cff27c6fc6048724a6f2bdce2306ab51d798e

[ "Apache-2.0" ]

69

2021-03-23T12:26:17.000Z

2022-03-29T09:08:11.000Z

lib/meshrenderer/gl_utils/texture.py

AlbertoRemus/GDR_Net

114cff27c6fc6048724a6f2bdce2306ab51d798e

[ "Apache-2.0" ]

23

2021-03-26T06:21:32.000Z

2022-03-23T23:53:51.000Z

# -*- coding: utf-8 -*- import numpy as np from OpenGL.GL import * from OpenGL.GL.NV.bindless_texture import * class Texture(object): def __init__(self, tex_type, levels, internalformat, W, H): self.__id = np.empty(1, dtype=np.uint32) glCreateTextures(tex_type, len(self.__id), self.__id) glTextureStorage2D(self.__id[0], levels, internalformat, W, H) self.__handle = None def setFilter(self, min_filter, max_filter): glTextureParameteri(self.__id[0], GL_TEXTURE_MIN_FILTER, min_filter) glTextureParameteri(self.__id[0], GL_TEXTURE_MAG_FILTER, max_filter) def setWrap(self, wrap_s, wrap_t, wrap_r=None): glTextureParameteri(self.__id[0], GL_TEXTURE_WRAP_S, wrap_s) glTextureParameteri(self.__id[0], GL_TEXTURE_WRAP_T, wrap_t) if wrap_r != None: glTextureParameteri(self.__id[0], GL_TEXTURE_WRAP_R, wrap_r) def subImage(self, level, xoffset, yoffset, width, height, data_format, data_type, pixels): glTextureSubImage2D(self.__id[0], level, xoffset, yoffset, width, height, data_format, data_type, pixels) def generate_mipmap(self): glGenerateTextureMipmap(self.__id[0]) def makeResident(self): self.__handle = glGetTextureHandleNV(self.__id[0]) glMakeTextureHandleResidentNV(self.__handle) return self.__handle def makeNonResident(self): if self.__handle != None: glMakeTextureHandleNonResidentNV(self.__handle) def delete(self): glDeleteTextures(1, self.__id) @property def handle(self): return self.__handle @property def id(self): return self.__id[0] class Texture1D(object): def __init__(self, levels, internalformat, W): self.__id = np.empty(1, dtype=np.uint32) glCreateTextures(GL_TEXTURE_1D, len(self.__id), self.__id) glTextureStorage1D(self.__id[0], levels, internalformat, W) self.__handle = None def setFilter(self, min_filter, max_filter): glTextureParameteri(self.__id[0], GL_TEXTURE_MIN_FILTER, min_filter) glTextureParameteri(self.__id[0], GL_TEXTURE_MAG_FILTER, max_filter) def setWrap(self, wrap_s, wrap_t, wrap_r=None): glTextureParameteri(self.__id[0], GL_TEXTURE_WRAP_S, wrap_s) glTextureParameteri(self.__id[0], GL_TEXTURE_WRAP_T, wrap_t) if wrap_r != None: glTextureParameteri(self.__id[0], GL_TEXTURE_WRAP_R, wrap_r) def subImage(self, level, xoffset, width, data_format, data_type, pixels): glTextureSubImage1D(self.__id[0], level, xoffset, width, data_format, data_type, pixels) def generate_mipmap(self): glGenerateTextureMipmap(self.__id[0]) def makeResident(self): self.__handle = glGetTextureHandleNV(self.__id[0]) glMakeTextureHandleResidentNV(self.__handle) return self.__handle def makeNonResident(self): if self.__handle != None: glMakeTextureHandleNonResidentNV(self.__handle) def delete(self): glDeleteTextures(1, self.__id) @property def handle(self): return self.__handle @property def id(self): return self.__id[0] class Texture3D(object): def __init__(self, tex_type, levels, internalformat, W, H, C): self.__id = np.empty(1, dtype=np.uint32) glCreateTextures(tex_type, len(self.__id), self.__id) glTextureStorage3D(self.__id[0], levels, internalformat, W, H, C) self.__handle = None def setFilter(self, min_filter, max_filter): glTextureParameteri(self.__id[0], GL_TEXTURE_MIN_FILTER, min_filter) glTextureParameteri(self.__id[0], GL_TEXTURE_MAG_FILTER, max_filter) def setWrap(self, wrap_s, wrap_t, wrap_r=None): glTextureParameteri(self.__id[0], GL_TEXTURE_WRAP_S, wrap_s) glTextureParameteri(self.__id[0], GL_TEXTURE_WRAP_T, wrap_t) if wrap_r != None: glTextureParameteri(self.__id[0], GL_TEXTURE_WRAP_R, wrap_r) def subImage(self, level, xoffset, yoffset, zoffset, width, height, depth, data_format, data_type, pixels): glTextureSubImage3D( self.__id[0], level, xoffset, yoffset, zoffset, width, height, depth, data_format, data_type, pixels ) def generate_mipmap(self): glGenerateTextureMipmap(self.__id[0]) def makeResident(self): self.__handle = glGetTextureHandleNV(self.__id[0]) glMakeTextureHandleResidentNV(self.__handle) return self.__handle def makeNonResident(self): if self.__handle != None: glMakeTextureHandleNonResidentNV(self.__handle) def delete(self): glDeleteTextures(1, self.__id) @property def handle(self): return self.__handle @property def id(self): return self.__id[0] class TextureMultisample(object): def __init__(self, samples, internalformat, W, H, fixedsamplelocations): self.__id = np.empty(1, dtype=np.uint32) glCreateTextures(GL_TEXTURE_2D_MULTISAMPLE, len(self.__id), self.__id) glTextureStorage2DMultisample(self.__id[0], samples, internalformat, W, H, fixedsamplelocations) self.__handle = None def setFilter(self, min_filter, max_filter): glTextureParameteri(self.__id[0], GL_TEXTURE_MIN_FILTER, min_filter) glTextureParameteri(self.__id[0], GL_TEXTURE_MAG_FILTER, max_filter) def setWrap(self, wrap_s, wrap_t): glTextureParameteri(self.__id[0], GL_TEXTURE_WRAP_S, wrap_s) glTextureParameteri(self.__id[0], GL_TEXTURE_WRAP_T, wrap_t) def subImage(self, level, xoffset, yoffset, width, height, data_format, data_type, pixels): glTextureSubImage2D(self.__id[0], level, xoffset, yoffset, width, height, data_format, data_type, pixels) def makeResident(self): self.__handle = glGetTextureHandleNV(self.__id[0]) glMakeTextureHandleResidentNV(self.__handle) return self.__handle def makeNonResident(self): if self.__handle != None: glMakeTextureHandleNonResidentNV(self.__handle) def delete(self): glDeleteTextures(1, self.__id) @property def handle(self): return self.__handle @property def id(self): return self.__id[0]

35.145251

113

0.687967

762

6,291

5.276903

0.111549

0.080577

0.066153

0.122855

0.919423

0.910221

0.879632

0.865208

0.853768

0

0.013467

0.209188

6,291

178

114

35.342697

0.794774

0.003338

0

0.819549

0

1

0.293233

false

0

0.022556

0.06015

0.43609

0

null

0

1

0

1

0

null

0

1

0

8

654b9fc9942e8eef9bb5ed43356a8543a0f83eaf

132

py

Python

src/personal_finance/elt/__init__.py

RichWolff/personal_finance

2b7b86f57c972918b039588d8ab3e4557ac24447

[ "MIT" ]

null

src/personal_finance/elt/__init__.py

RichWolff/personal_finance

2b7b86f57c972918b039588d8ab3e4557ac24447

[ "MIT" ]

null

src/personal_finance/elt/__init__.py

RichWolff/personal_finance

2b7b86f57c972918b039588d8ab3e4557ac24447

[ "MIT" ]

null

from personal_finance.elt.extract import extract_last_n_days # noqa from personal_finance.elt.load import ingest_all_files # noqa

44

68

0.848485

21

132

5

0.666667

0.228571

0.361905

0.419048

0

0.106061

132

2

69

66

0.889831

0.068182

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

e8f74f8e26ce64279acf2afe52b339f9fde660b5

1,473

py

Python

src/genie/libs/parser/nxos/tests/ShowIpMsdpSummary/cli/equal/golden_output_1_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

204

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/nxos/tests/ShowIpMsdpSummary/cli/equal/golden_output_1_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

468

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/nxos/tests/ShowIpMsdpSummary/cli/equal/golden_output_1_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

309

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

expected_output = { "vrf": { "default": { "local_as": 0, "originator_id": "10.16.2.2", "statistics": { "num_of_configured_peers": 1, "num_of_established_peers": 1, "num_of_shutdown_peers": 0 }, "peer": { "10.144.6.6": { "elapsed_time": "05:46:19", "statistics": { "num_of_sg_received": 1, "last_message_received": "00:00:51" }, "session_state": "established", "address": "10.144.6.6", "peer_as": 0 } } }, "VRF1": { "local_as": 0, "originator_id": "10.16.2.2", "statistics": { "num_of_configured_peers": 1, "num_of_established_peers": 1, "num_of_shutdown_peers": 0 }, "peer": { "10.144.6.6": { "elapsed_time": "05:46:18", "statistics": { "num_of_sg_received": 0, "last_message_received": "00:00:55" }, "session_state": "established", "address": "10.144.6.6", "peer_as": 0 } } } } }

30.061224

61

0.345553

121

1,473

3.884298

0.330579

0.085106

0.12766

0.093617

0.919149

0.714894

0

0.11

0.524779

1,473

48

62

30.6875

0.561429

0

0.521739

0

0.345343

0.121006

0

1

0

false

0

null

0

1

0

1

0

null

0

7

3331e980101bf5dd55b48489c01ae73c94886a12

3,687

py

Python

tests/test_bmicategory.py

arunprakash16/code-2021-11-27-arunprakash

67f23d88f0cbd7803fe7ed90210d36495e1d5335

[ "MIT" ]

null

tests/test_bmicategory.py

arunprakash16/code-2021-11-27-arunprakash

67f23d88f0cbd7803fe7ed90210d36495e1d5335

[ "MIT" ]

null

tests/test_bmicategory.py

arunprakash16/code-2021-11-27-arunprakash

67f23d88f0cbd7803fe7ed90210d36495e1d5335

[ "MIT" ]

null

from pybmi.bmicategory import BmiCategory bmi_analysis = BmiCategory() out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(4.5) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Underweight', 'Malnutrition risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(18.4) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Underweight', 'Malnutrition risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(18.4) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Underweight', 'Malnutrition risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(18.5) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Normal weight', 'Low risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(24.9) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Normal weight', 'Low risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(25.6) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Overweight', 'Enhanced risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(29.9) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Overweight', 'Enhanced risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(30) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Moderately obese', 'Medium risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(34.9) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Moderately obese', 'Medium risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(35) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Severely obese', 'High risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(39.9) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Severely obese', 'High risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(40) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Very Severely obese', 'Very High risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(70) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Very Severely obese', 'Very High risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(999.9) assert out_stat == 0, "Output status doesn't match the expectation" assert bmi_val == ('Very Severely obese', 'Very High risk'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(-1) assert out_stat == 1, "Output status doesn't match the expectation" assert bmi_val == ('Couldn't fetch health category for - -1', 'Couldn't fetch health category for - -1'), "Incorrect bmi category / health risk!" out_stat, bmi_val = bmi_analysis.get_bmi_cat_risk(1000.1) assert out_stat == 1, "Output status doesn't match the expectation" assert bmi_val == ('Couldn't fetch health category for - 1000.1', 'Couldn't fetch health category for - 1000.1'), "Incorrect bmi category / health risk!"

54.220588

153

0.754543

586

3,687

4.527304

0.09727

0.084433

0.060309

0.078402

0.967584

0.956276

0.944591

0.929891

0

0.02243

0.129373

3,687

67

154

55.029851

0.80405

0

0.64

0

0.470572

0

0.64

0

null

0

0.02

null

0

null

0

1

0

null

0

1

0

8

68358b6476201105834c7c7573987a0e20ee5235

92,817

py

Python

src/xDLbase/rnn.py

AskyJx/xDeepLearning

98d875a34c6b4f4a51dcb825998028fd36260848

[ "MIT" ]

20

2019-03-21T18:16:00.000Z

2022-03-21T12:10:04.000Z

src/xDLbase/rnn.py

AskyJx/xDeepLearning

98d875a34c6b4f4a51dcb825998028fd36260848

[ "MIT" ]

1

2019-07-17T10:09:23.000Z

2019-08-10T11:38:29.000Z

src/xDLbase/rnn.py

AskyJx/xDeepLearning

98d875a34c6b4f4a51dcb825998028fd36260848

[ "MIT" ]

5

2019-06-03T15:26:55.000Z

2020-12-09T03:06:01.000Z

""" Created: May 2018 @author: JerryX Find more : https://www.zhihu.com/people/xu-jerry-82 """ import numpy as np import operator as op import numba import sys import os curPath = os.path.abspath(os.path.dirname(__file__)) sys.path.append(curPath) from xDLUtils import Tools from activators import ReLU # Rnn类 class RnnLayer(object): # N,H,L和优化器在初始化时定义 # T作为X的一个维度传进来 # tanh和sigmoid的前反向传播在类内部定义。 def __init__(self, LName, miniBatchesSize, nodesNum, layersNum, optimizerCls, optmParams, dropoutRRate, dataType, init_rng): # 初始化超参数 self.name = LName self.miniBatchesSize = miniBatchesSize self.nodesNum = nodesNum self.layersNum = layersNum self.dataType = dataType self.init_rng = init_rng self.isInited = False # 初始化标志 # dropout 的保留率 self.dropoutRRate = dropoutRRate self.dropoutMask = [] self.out = [] self.optimizerObjs = [optimizerCls(optmParams, dataType) for i in range(layersNum)] # 初始化w,u,b 和对应偏置,维度，层次和节点个数传参进去。但是没有T，所以不能创建参数 # 返回的是一个组合结构,按层次（数组）划分的U、W，字典 # 改为放在首batch X传入时lazy init self.rnnParams = [] # 保存各层中间产出的 st和f(st)，用于前向和反向传播 # 不需要，已经在前反向传播中保留 self.deltaPrev = [] # 上一层激活后的误差输出 def _initNnWeight(self, D, H, layersNum, dataType): # 层次 rnnParams = [] for layer in range(layersNum): Wh = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, H)).astype(dataType) if (0 == layer): Wx = np.random.uniform(-1 * self.init_rng, self.init_rng, (D, H)).astype(dataType) else: Wx = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, H)).astype(dataType) b = np.zeros(H, dataType) rnnParams.append({'Wx': Wx, 'Wh': Wh, 'b': b}) self.rnnParams = rnnParams def _initNnWeightOrthogonal(self, D, H, layersNum, dataType): # 层次 rnnParams = [] for layer in range(layersNum): # Wh = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, H)).astype(dataType) Wh = Tools.initOrthogonal( (H, H),self.init_rng, dataType) DH = D if 0 == layer else H Wx = Tools.initOrthogonal( (DH, H),self.init_rng, dataType) b = np.zeros(H, dataType) rnnParams.append({'Wx': Wx, 'Wh': Wh, 'b': b}) self.rnnParams = rnnParams # 训练时前向传播 def fp(self, input): out_tmp = self.inference(input) self.out, self.dropoutMask = Tools.dropout4rnn(out_tmp, self.dropoutRRate) return self.out # 预测时前向传播,激活后再输出 # input: batch x seqNum, 32*10 def inference(self, x): N, T, D = x.shape H = self.nodesNum L = self.layersNum # lazy init if (False == self.isInited): #self._initNnWeight(D, H, L, self.dataType) self._initNnWeightOrthogonal(D, H, L, self.dataType) self.isInited = True # 缓存已经存入rnnParams里了,此处只需要返回输出结果(N,T,H) h = self.rnn_forward(x) # N进 v 1出模型，只保留时序最后的一项输出 # self.out = h[:,-1,:] # 全部输出,未用到的部分梯度为0 self.out = h return self.out # 反向传播方法(误差和权参) # TODO 实现反向传播逻辑，先按照时间，再按照层次，再更新Wx/Wf/b/V/bv 及偏置的反向传播梯度 def bp(self, input, delta_ori, lrt): if self.dropoutRRate == 1: delta = delta_ori else: delta = delta_ori * self.dropoutMask # dw是一个数组，对应结构的多层，每层的dw,dh,db,dh0表示需要参数梯度 N, T, D = input.shape H = delta.shape[1] # 只有最后一个T填delta，其余的dh梯度设置为0 dh = np.zeros((N, T, H), self.dataType) # dh[:,-1,:] = delta dh = delta dx, dweight = self.rnn_backward(dh) # 根据梯度更新参数 self.bpWeights(dweight, lrt) return dx # 计算反向传播权重梯度w,b def bpWeights(self, dw, lrt): L = self.layersNum # for l in range(L - 1, -1, -1): for l in range(L): w = (self.rnnParams[l]['Wx'], self.rnnParams[l]['Wh'], self.rnnParams[l]['b']) # 此处不赋值也可以，因为是按引用传参 # self.rnnParams[l]['Wx'], self.rnnParams[l]['Wh'], self.rnnParams[l]['b'] = self.optimizerObjs[l].getUpdWeights(w,dw[L-1-l],lrt) self.optimizerObjs[l].getUpdWeights(w, dw[L - 1 - l], lrt) def rnn_forward(self, x): """ Run a vanilla RNN forward on an entire sequence of data. We assume an input sequence composed of T vectors, each of dimension D. The RNN uses a hidden size of H, and we work over a minibatch containing N sequences. After running the RNN forward, we return the hidden states for all timesteps. Inputs: - x: Input data for the entire timeseries, of shape (N, T, D). - h0: Initial hidden state, of shape (N, H) - Wx: Weight matrix for input-to-hidden connections, of shape (D, H) - Wh: Weight matrix for hidden-to-hidden connections, of shape (H, H) - b: Biases of shape (H,) Returns a tuple of: - h: Hidden states for the entire timeseries, of shape (N, T, H). - cache: Values needed in the backward pass """ h, cache = None, None ############################################################################## # TODO: Implement forward pass for a vanilla RNN running on a sequence of # # input data. You should use the rnn_step_forward function that you defined # # above. You can use a for loop to help compute the forward pass. # ############################################################################## N, T, D = x.shape L = self.layersNum H = self.rnnParams[0]['b'].shape[0] xh = x for layer in range(L): h = np.zeros((N, T, H)) h0 = np.zeros((N, H)) cache = [] for t in range(T): h[:, t, :], tmp_cache = self.rnn_step_forward(xh[:, t, :], h[:, t - 1, :] if t > 0 else h0, self.rnnParams[layer]['Wx'], self.rnnParams[layer]['Wh'], self.rnnParams[layer]['b']) cache.append(tmp_cache) xh = h # 之后以h作为xh作为跨层输入 ############################################################################## # END OF YOUR CODE # ############################################################################## self.rnnParams[layer]['h'] = h self.rnnParams[layer]['cache'] = cache return h # 返回最后一层作为输出 def rnn_backward(self, dh): """ Compute the backward pass for a vanilla RNN over an entire sequence of data. Inputs: - dh: Upstream gradients of all hidden states, of shape (N, T, H). NOTE: 'dh' contains the upstream gradients produced by the individual loss functions at each timestep, *not* the gradients being passed between timesteps (which you'll have to compute yourself by calling rnn_step_backward in a loop). Returns a tuple of: - dx: Gradient of inputs, of shape (N, T, D) - dh0: Gradient of initial hidden state, of shape (N, H) - dWx: Gradient of input-to-hidden weights, of shape (D, H) - dWh: Gradient of hidden-to-hidden weights, of shape (H, H) - db: Gradient of biases, of shape (H,) """ dx, dh0, dWx, dWh, db = None, None, None, None, None ############################################################################## # TODO: Implement the backward pass for a vanilla RNN running an entire # # sequence of data. You should use the rnn_step_backward function that you # # defined above. You can use a for loop to help compute the backward pass. # ############################################################################## N, T, H = dh.shape x, _, _, _, _ = self.rnnParams[0]['cache'][0] D = x.shape[1] # 初始化最上一层误差 dh_prevl = dh # 保存各层dwh,dwx,和db dweights = [] # 逐层倒推 for layer in range(self.layersNum - 1, -1, -1): # 得到前向传播保存的cache数组 cache = self.rnnParams[layer]['cache'] DH = D if layer == 0 else H dx = np.zeros((N, T, DH)) dWx = np.zeros((DH, H)) dWh = np.zeros((H, H)) db = np.zeros(H) dprev_h_t = np.zeros((N, H)) # 倒序遍历 for t in range(T - 1, -1, -1): dx[:, t, :], dprev_h_t, dWx_t, dWh_t, db_t = self.rnn_step_backward(dh_prevl[:, t, :] + dprev_h_t, cache[t]) dWx += dWx_t dWh += dWh_t db += db_t # 本层得出的dx，作为下一层的prev_l dh_prevl = dx dweight = (dWx, dWh, db) dweights.append(dweight) ############################################################################## # END OF YOUR CODE # ############################################################################## # 返回x误差和各层参数误差 return dx, dweights def rnn_step_forward(self, x, prev_h, Wx, Wh, b): """ Run the forward pass for a single timestep of a vanilla RNN that uses a tanh activation function. The input data has dimension D, the hidden state has dimension H, and we use a minibatch size of N. Inputs: - x: Input data for this timestep, of shape (N, D). - prev_h: Hidden state from previous timestep, of shape (N, H) - Wx: Weight matrix for input-to-hidden connections, of shape (D, H) - Wh: Weight matrix for hidden-to-hidden connections, of shape (H, H) - b: Biases of shape (H,) Returns a tuple of: - next_h: Next hidden state, of shape (N, H) - cache: Tuple of values needed for the backward pass. """ next_h, cache = None, None ############################################################################## # TODO: Implement a single forward step for the vanilla RNN. Store the next # # hidden state and any values you need for the backward pass in the next_h # # and cache variables respectively. # ############################################################################## z = Tools.matmul(x, Wx) + Tools.matmul(prev_h, Wh) + b next_h = np.tanh(z) dtanh = 1. - next_h * next_h cache = (x, prev_h, Wx, Wh, dtanh) ############################################################################## # END OF YOUR CODE # ############################################################################## return next_h, cache def rnn_step_backward(self, dnext_h, cache): """ Backward pass for a single timestep of a vanilla RNN. Inputs: - dnext_h: Gradient of loss with respect to next hidden state, of shape (N, H) - cache: Cache object from the forward pass Returns a tuple of: - dx: Gradients of input data, of shape (N, D) - dprev_h: Gradients of previous hidden state, of shape (N, H) - dWx: Gradients of input-to-hidden weights, of shape (D, H) - dWh: Gradients of hidden-to-hidden weights, of shape (H, H) - db: Gradients of bias vector, of shape (H,) """ dx, dprev_h, dWx, dWh, db = None, None, None, None, None ############################################################################## # TODO: Implement the backward pass for a single step of a vanilla RNN. # # # # HINT: For the tanh function, you can compute the local derivative in terms # # of the output value from tanh. # ############################################################################## x, prev_h, Wx, Wh, dtanh = cache dz = dnext_h * dtanh dx = Tools.matmul(dz, Wx.T) dprev_h = Tools.matmul(dz, Wh.T) dWx = Tools.matmul(x.T, dz) dWh = Tools.matmul(prev_h.T, dz) db = np.sum(dz, axis=0) ############################################################################## # END OF YOUR CODE # ############################################################################## return dx, dprev_h, dWx, dWh, db # LSTM 类 class LSTMLayer(object): # N,H,L和优化器在初始化时定义 # T作为X的一个维度传进来 # tanh和sigmoid的前反向传播在类内部定义。 def __init__(self, LName, miniBatchesSize, nodesNum, layersNum, optimizerCls, optmParams, dropoutRRate, dataType, init_rng): # 初始化超参数 self.name = LName self.miniBatchesSize = miniBatchesSize self.nodesNum = nodesNum self.layersNum = layersNum self.dataType = dataType self.init_rng = init_rng self.isInited = False # 初始化标志 # dropout 的保留率 self.dropoutRRate = dropoutRRate self.dropoutMask = [] self.out = [] self.optimizerObjs = [optimizerCls(optmParams, dataType) for i in range(layersNum)] # 初始化w,u,b 和对应偏置,维度，层次和节点个数传参进去。但是没有T，所以不能创建参数 # 返回的是一个组合结构,按层次（数组）划分的U、W，字典 # 改为放在首batch X传入时lazy init self.lstmParams = [] # 保存各层中间产出的 st和f(st)，用于前向和反向传播 # 不需要，已经在前反向传播中保留 self.deltaPrev = [] # 上一层激活后的误差输出 def _initNnWeight(self, D, H, layersNum, dataType): # 层次 lstmParams = [] for layer in range(layersNum): Wh = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, 4 * H)).astype(dataType) if (0 == layer): Wx = np.random.uniform(-1 * self.init_rng, self.init_rng, (D, 4 * H)).astype(dataType) else: Wx = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, 4 * H)).astype(dataType) b = np.zeros(4 * H, dataType) lstmParams.append({'Wx': Wx, 'Wh': Wh, 'b': b}) self.lstmParams = lstmParams def _initNnWeightOrthogonal(self, D , H, layersNum, dataType): # 层次 lstmParams = [] for layer in range(layersNum): # Wh = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, 4 * H)).astype(dataType) Wh = Tools.initOrthogonal( (H, 4*H),self.init_rng, dataType) DH = D if 0 == layer else H # Wx = np.random.uniform(-1 * self.init_rng, self.init_rng, (DH, 4 * H)).astype(dataType) Wx = Tools.initOrthogonal( (DH, 4*H),self.init_rng, dataType) b = np.zeros(4 * H, dataType) lstmParams.append({'Wx': Wx, 'Wh': Wh, 'b': b}) self.lstmParams = lstmParams # 预测时前向传播 def fp(self, input): out_tmp = self.inference(input) self.out, self.dropoutMask = Tools.dropout4rnn(out_tmp, self.dropoutRRate) return self.out def inference(self, x): N, T, D = x.shape H = self.nodesNum L = self.layersNum # lazy init if (False == self.isInited): # self._initNnWeight(D, H, L, self.dataType) self._initNnWeightOrthogonal(D, H, L, self.dataType) self.isInited = True # 缓存已经存入rnnParams里了,此处只需要返回输出结果(N,T,H) h = self.lstm_forward(x) # N进 v 1出模型，只保留时序最后的一项输出 # self.out = h[:,-1,:] self.out = h return self.out # 反向传播方法(误差和权参) # TODO 实现反向传播逻辑，先按照时间，再按照层次，再更新Wx/Wf/b/V/bv 及偏置的反向传播梯度 def bp(self, input, delta_ori, lrt): if self.dropoutRRate == 1: delta = delta_ori else: delta = delta_ori * self.dropoutMask # dw是一个数组，对应结构的多层，每层的dw,dh,db,dh0表示需要参数梯度 N, T, D = input.shape H = delta.shape[1] # 只有最后一个T填delta，其余的dh梯度设置为0 dh = np.zeros((N, T, H), self.dataType) # dh[:,-1,:] = delta dh = delta dx, dweight = self.lstm_backward(dh) # 根据梯度更新参数 self.bpWeights(dweight, lrt) return dx # 计算反向传播权重梯度w,b def bpWeights(self, dw, lrt): L = self.layersNum for l in range(L): w = (self.lstmParams[l]['Wx'], self.lstmParams[l]['Wh'], self.lstmParams[l]['b']) # self.lstmParams[l]['Wx'], self.lstmParams[l]['Wh'], self.lstmParams[l]['b'] = self.optimizerObjs[l].getUpdWeights(w, dw[L-1-l], lrt) self.optimizerObjs[l].getUpdWeights(w, dw[L - 1 - l], lrt) # self.optimizerObjs[l].getUpdWeights(w, dw[l], lrt) def lstm_forward(self, x): """ Forward pass for an LSTM over an entire sequence of data. We assume an input sequence composed of T vectors, each of dimension D. The LSTM uses a hidden size of H, and we work over a minibatch containing N sequences. After running the LSTM forward, we return the hidden states for all timesteps. Note that the initial cell state is passed as input, but the initial cell state is set to zero. Also note that the cell state is not returned; it is an internal variable to the LSTM and is not accessed from outside. Inputs: - x: Input data of shape (N, T, D) - h0: Initial hidden state of shape (N, H) - Wx: Weights for input-to-hidden connections, of shape (D, 4H) - Wh: Weights for hidden-to-hidden connections, of shape (H, 4H) - b: Biases of shape (4H,) Returns a tuple of: - h: Hidden states for all timesteps of all sequences, of shape (N, T, H) - cache: Values needed for the backward pass. """ h, cache = None, None ############################################################################# # TODO: Implement the forward pass for an LSTM over an entire timeseries. # # You should use the lstm_step_forward function that you just defined. # # 首层，x(N,T,D), 向上变成xh(N,T,H) # 首层 Wx(D,H), 向上变成Wxh(H,H) ############################################################################# N, T, D = x.shape L = self.layersNum H = int(self.lstmParams[0]['b'].shape[0] / 4) # 取整 xh = x # 首层输入是x for layer in range(L): h = np.zeros((N, T, H)) h0 = np.zeros((N, H)) c = np.zeros((N, T, H)) c0 = np.zeros((N, H)) cache = [] for t in range(T): h[:, t, :], c[:, t, :], tmp_cache = self.lstm_step_forward(xh[:, t, :], h[:, t - 1, :] if t > 0 else h0, c[:, t - 1, :] if t > 0 else c0, self.lstmParams[layer]['Wx'], self.lstmParams[layer]['Wh'], self.lstmParams[layer]['b']) cache.append(tmp_cache) xh = h # 之后以h作为xh作为跨层输入 ############################################################################## # END OF YOUR CODE # ############################################################################## self.lstmParams[layer]['h'] = h self.lstmParams[layer]['c'] = c self.lstmParams[layer]['cache'] = cache return h def lstm_backward(self, dh): """ Backward pass for an LSTM over an entire sequence of data.] Inputs: - dh: Upstream gradients of hidden states, of shape (N, T, H) - cache: Values from the forward pass Returns a tuple of: - dx: Gradient of input data of shape (N, T, D) - dh0: Gradient of initial hidden state of shape (N, H) - dWx: Gradient of input-to-hidden weight matrix of shape (D, 4H) - dWh: Gradient of hidden-to-hidden weight matrix of shape (H, 4H) - db: Gradient of biases, of shape (4H,) """ dx, dh0, dWx, dWh, db = None, None, None, None, None ############################################################################# # TODO: Implement the backward pass for an LSTM over an entire timeseries. # # You should use the lstm_step_backward function that you just defined. # ############################################################################# N, T, H = dh.shape x, _, _, _, _, _, _, _, _, _ = self.lstmParams[0]['cache'][0] D = x.shape[1] dh_prevl = dh # 保存各层dwh,dwx,和db dweights = [] for layer in range(self.layersNum - 1, -1, -1): # 得到前向传播保存的cache数组 cache = self.lstmParams[layer]['cache'] DH = D if layer == 0 else H dx = np.zeros((N, T, DH)) dWx = np.zeros((DH, 4 * H)) dWh = np.zeros((H, 4 * H)) db = np.zeros((4 * H)) dprev_h = np.zeros((N, H)) dprev_c = np.zeros((N, H)) for t in range(T - 1, -1, -1): dx[:, t, :], dprev_h, dprev_c, dWx_t, dWh_t, db_t = self.lstm_step_backward(dh_prevl[:, t, :] + dprev_h, dprev_c, cache[t]) # 注意此处的叠加 dWx += dWx_t dWh += dWh_t db += db_t # 本层得出的dx，作为下一层的prev_l dh_prevl = dx dweight = (dWx, dWh, db) dweights.append(dweight) ############################################################################## # END OF YOUR CODE # ############################################################################## # 返回x误差和各层参数误差 return dx, dweights def lstm_step_forward(self, x, prev_h, prev_c, Wx, Wh, b): """ Forward pass for a single timestep of an LSTM. The input data has dimension D, the hidden state has dimension H, and we use a minibatch size of N. Note that a sigmoid() function has already been provided for you in this file. Inputs: - x: Input data, of shape (N, D) - prev_h: Previous hidden state, of shape (N, H) - prev_c: previous cell state, of shape (N, H) - Wx: Input-to-hidden weights, of shape (D, 4H) - Wh: Hidden-to-hidden weights, of shape (H, 4H) - b: Biases, of shape (4H,) Returns a tuple of: - next_h: Next hidden state, of shape (N, H) - next_c: Next cell state, of shape (N, H) - cache: Tuple of values needed for backward pass. """ next_h, next_c, cache = None, None, None ############################################################################# # TODO: Implement the forward pass for a single timestep of an LSTM. # # You may want to use the numerically stable sigmoid implementation above. # 首层，x(N,T,D), 向上变成xh(N,T,H) # 首层 Wx(D,H), 向上变成Wxh(H,H) ############################################################################# H = prev_h.shape[1] # z , of shape(N,4H) z = Tools.matmul(x, Wx) + Tools.matmul(prev_h, Wh) + b # of shape(N,H) i = Tools.sigmoid(z[:, :H]) f = Tools.sigmoid(z[:, H:2 * H]) o = Tools.sigmoid(z[:, 2 * H:3 * H]) g = np.tanh(z[:, 3 * H:]) next_c = f * prev_c + i * g next_h = o * np.tanh(next_c) cache = (x, prev_h, prev_c, Wx, Wh, i, f, o, g, next_c) ############################################################################## # END OF YOUR CODE # ############################################################################## return next_h, next_c, cache def lstm_step_backward(self, dnext_h, dnext_c, cache): """ Backward pass for a single timestep of an LSTM. Inputs: - dnext_h: Gradients of next hidden state, of shape (N, H) - dnext_c: Gradients of next cell state, of shape (N, H) - cache: Values from the forward pass Returns a tuple of: - dx: Gradient of input data, of shape (N, D) - dprev_h: Gradient of previous hidden state, of shape (N, H) - dprev_c: Gradient of previous cell state, of shape (N, H) - dWx: Gradient of input-to-hidden weights, of shape (D, 4H) - dWh: Gradient of hidden-to-hidden weights, of shape (H, 4H) - db: Gradient of biases, of shape (4H,) """ dx, dprev_h, dprev_c, dWx, dWh, db = None, None, None, None, None, None ############################################################################# # TODO: Implement the backward pass for a single timestep of an LSTM. # # # # HINT: For sigmoid and tanh you can compute local derivatives in terms of # # the output value from the nonlinearity. # ############################################################################# x, prev_h, prev_c, Wx, Wh, i, f, o, g, next_c = cache dnext_c = dnext_c + o * (1 - np.tanh(next_c) ** 2) * dnext_h # next_h = o*np.tanh(next_c) di = dnext_c * g # next_c = f*prev_c + i*g df = dnext_c * prev_c # next_c = f*prev_c + i*g do = dnext_h * np.tanh(next_c) # next_h = o*np.tanh(next_c) dg = dnext_c * i # next_h = o*np.tanh(next_c) dprev_c = f * dnext_c # next_c = f*prev_c + i*g dz = np.hstack((i * (1 - i) * di, f * (1 - f) * df, o * (1 - o) * do, (1 - g ** 2) * dg)) # 共四部分 dx = Tools.matmul(dz, Wx.T) dprev_h = Tools.matmul(dz, Wh.T) dWx = Tools.matmul(x.T, dz) dWh = Tools.matmul(prev_h.T, dz) db = np.sum(dz, axis=0) ############################################################################## # END OF YOUR CODE # ############################################################################## return dx, dprev_h, dprev_c, dWx, dWh, db #最后一层concate,输出N*T*2H class BiLSTMLayer(object): # N,H,L和优化器在初始化时定义 # T作为X的一个维度传进来 # tanh和sigmoid的前反向传播在类内部定义。 # 直接输出分类维度 def __init__(self, LName, miniBatchesSize, nodesNum, layersNum, optimizerCls, optmParams, dropoutRRate, dataType, init_rng): # 初始化超参数 self.name = LName self.miniBatchesSize = miniBatchesSize self.nodesNum = nodesNum self.layersNum = layersNum self.dataType = dataType self.init_rng = init_rng self.isInited = False # 初始化标志 # dropout 的保留率 self.dropoutRRate = dropoutRRate self.dropoutMask = [] self.out = [] self.optimizerObjs = [optimizerCls(optmParams, dataType) for i in range(layersNum)] # 初始化w,u,b 和对应偏置,维度，层次和节点个数传参进去。但是没有T，所以不能创建参数 # 返回的是一个组合结构,按层次（数组）划分的U、W，字典 # 改为放在首batch X传入时lazy init self.lstmParams = [] # 保存各层中间产出的 st和f(st)，用于前向和反向传播 # 不需要，已经在前反向传播中保留 self.deltaPrev = [] # 上一层激活后的误差输出 def _initNnWeight(self, D, H, layersNum, dataType): # 层次 lstmParams = [] for layer in range(layersNum): Wh = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, 4 * H)).astype(dataType) iWh = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, 4 * H)).astype(dataType) if (0 == layer): Wx = np.random.uniform(-1 * self.init_rng, self.init_rng, (D, 4 * H)).astype(dataType) iWx = np.random.uniform(-1 * self.init_rng, self.init_rng, (D, 4 * H)).astype(dataType) else: Wx = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, 4 * H)).astype(dataType) iWx = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, 4 * H)).astype(dataType) b = np.zeros(4 * H, dataType) ib = np.zeros(4 * H, dataType) lstmParams.append({'Wx': Wx, 'Wh': Wh, 'b': b, 'iWx': iWx, 'iWh': iWh, 'ib': ib # , 'U': U, 'V': V, 'bc': bc }) self.lstmParams = lstmParams # 预测时前向传播 def fp(self, input): out_tmp = self.inference(input) self.out, self.dropoutMask = Tools.dropout4rnn(out_tmp, self.dropoutRRate) return self.out def inference(self, x): N, T, D = x.shape H = self.nodesNum L = self.layersNum # lazy init if (False == self.isInited): self._initNnWeight(D, H, L, self.dataType) self.isInited = True # 缓存已经存入rnnParams里了,此处只需要返回输出结果(N,T,H) h = self.lstm_forward(x) # N进 v 1出模型，只保留时序最后的一项输出 # self.out = h[:,-1,:] self.out = h return self.out # 反向传播方法(误差和权参) def bp(self, input, delta_ori, lrt): if self.dropoutRRate == 1: delta = delta_ori else: delta = delta_ori * self.dropoutMask # dw是一个数组，对应结构的多层，每层的dw,dh,db,dh0表示需要参数梯度 # N, T, D = input.shape # H = delta.shape[1] # 只有最后一个T填delta，其余的dh梯度设置为0 # dh = np.zeros((N, T, H), self.dataType) # dh[:,-1,:] = delta dh = delta dx, dweight = self.lstm_backward(dh) # 根据梯度更新参数 self.bpWeights(dweight, lrt) return dx # 计算反向传播权重梯度w,b def bpWeights(self, dw, lrt): L = self.layersNum for l in range(L): w = (self.lstmParams[l]['Wx'], self.lstmParams[l]['Wh'], self.lstmParams[l]['b'], self.lstmParams[l]['iWx'], self.lstmParams[l]['iWh'], self.lstmParams[l]['ib'] ) self.optimizerObjs[l].getUpdWeights(w, dw[L - 1 - l], lrt) def lstm_forward(self, x): """ Forward pass for an LSTM over an entire sequence of data. We assume an input sequence composed of T vectors, each of dimension D. The LSTM uses a hidden size of H, and we work over a minibatch containing N sequences. After running the LSTM forward, we return the hidden states for all timesteps. Note that the initial cell state is passed as input, but the initial cell state is set to zero. Also note that the cell state is not returned; it is an internal variable to the LSTM and is not accessed from outside. Inputs: - x: Input data of shape (N, T, D) - h0: Initial hidden state of shape (N, H) - Wx: Weights for input-to-hidden connections, of shape (D, 4H) - Wh: Weights for hidden-to-hidden connections, of shape (H, 4H) - b: Biases of shape (4H,) Returns a tuple of: - h: Hidden states for all timesteps of all sequences, of shape (N, T, H) - cache: Values needed for the backward pass. """ ############################################################################# # TODO: Implement the forward pass for an BiLSTM over an entire timeseries. # # You should use the lstm_step_forward function that you just defined. # # 首层，x(N,T,D), 向上变成xh(N,T,H) # 首层 Wx(D,H), 向上变成Wxh(H,H) ############################################################################# N, T, D = x.shape L = self.layersNum H = int(self.lstmParams[0]['b'].shape[0] / 4) # 取整 xh = x # 首层输入是x ixh = x # 反向 for layer in range(L): h0 = np.zeros((N, H)) c0 = np.zeros((N, H)) # 右向 h = np.zeros((N, T, H)) c = np.zeros((N, T, H)) cache = [] # 左向 ih = np.zeros((N, T, H)) ic = np.zeros((N, T, H)) icache = [] for t in range(T): # 右向 h[:, t, :], c[:, t, :], tmp_cache = self.lstm_step_forward(xh[:, t, :], h[:, t - 1, :] if t > 0 else h0, c[:, t - 1, :] if t > 0 else c0, self.lstmParams[layer]['Wx'], self.lstmParams[layer]['Wh'], self.lstmParams[layer]['b']) cache.append(tmp_cache) # 左向, # 若此处ih和x的下标保持一致，均由大到小排列，后续无需倒排,提高效率 ih[:, T - 1 - t, :], ic[:, T - 1 - t, :], tmp_icache = self.lstm_step_forward(ixh[:, T - 1 - t, :], ih[:, T - t, :] if t > 0 else h0, ic[:, T - t, :] if t > 0 else c0, self.lstmParams[layer]['iWx'], self.lstmParams[layer]['iWh'], self.lstmParams[layer]['ib']) # icache下标和ih下标是反向对应的 self.lstmParams[layer]['ib']) icache.append(tmp_icache) # 右向 self.lstmParams[layer]['h'] = h self.lstmParams[layer]['c'] = c self.lstmParams[layer]['cache'] = cache # 左向 self.lstmParams[layer]['ih'] = ih self.lstmParams[layer]['ic'] = ic self.lstmParams[layer]['icache'] = icache # Batch * TimeStep * H xh = h ixh = ih self.lstmParams[layer]['xh'] = xh self.lstmParams[layer]['ixh'] = ixh xh_final = np.concatenate((xh,ixh),axis=2) # 在H维度上做拼接 self.lstmParams[layer]['xh_final'] = xh_final return xh_final def lstm_backward(self, dh_all): """ Backward pass for an BiLSTM over an entire sequence of data.] Inputs: - dh_all: Upstream gradients of hidden states, of shape (N, T, 2*H) - cache: Values from the forward pass Returns a tuple of: - dx: Gradient of input data of shape (N, T, D) - dh0: Gradient of initial hidden state of shape (N, H) - dWx: Gradient of input-to-hidden weight matrix of shape (D, 4H) - dWh: Gradient of hidden-to-hidden weight matrix of shape (H, 4H) - db: Gradient of biases, of shape (4H,) """ ############################################################################# # TODO: Implement the backward pass for an BiLSTM over an entire timeseries. # # You should use the lstm_step_backward function that you just defined. # ############################################################################# N, T, H_time_2 = dh_all.shape #得到的误差是batch *T* 2H H = int(H_time_2 / 2) x, _, _, _, _, _, _, _, _, _ = self.lstmParams[0]['cache'][0] D = x.shape[1] # 单个时间步上维度 dh = dh_all[:,:,0:H] dih = dh_all[:,:,H:2*H] dweights = [] for layer in range(self.layersNum - 1, -1, -1): dh_prevl = dh dih_prevl = dih DH = D if layer == 0 else H # 右向 dx = np.zeros((N, T, DH)) cache = self.lstmParams[layer]['cache'] dWx = np.zeros((DH, 4 * H)) dWh = np.zeros((H, 4 * H)) db = np.zeros((4 * H)) dprev_h = np.zeros((N, H)) dprev_c = np.zeros((N, H)) # 左向 dix = np.zeros((N, T, DH)) icache = self.lstmParams[layer]['icache'] diWx = np.zeros((DH, 4 * H)) diWh = np.zeros((H, 4 * H)) dib = np.zeros((4 * H)) dprev_ih = np.zeros((N, H)) dprev_ic = np.zeros((N, H)) for t in range(T - 1, -1, -1): # 右向 dx[:, t, :], dprev_h, dprev_c, dWx_t, dWh_t, db_t = self.lstm_step_backward(dh_prevl[:, t, :] + dprev_h, dprev_c, cache[t]) # 注意此处的叠加 dWx += dWx_t dWh += dWh_t db += db_t # fwd选择ih和输入x的下标一致对应，且之后合并前馈时，ih按时间步一致再前馈 # bp时,按照时间步倒序回传,dih从小到大回传 dix[:, T - 1 - t, :], dprev_ih, dprev_ic, diWx_t, diWh_t, db_it = self.lstm_step_backward(dih_prevl[:, T - 1 - t, :] + dprev_ih, dprev_ic, # icache[T - 1 - t]) # 注意此处的叠加 icache[t]) # 注意此处的叠加 diWx += diWx_t diWh += diWh_t dib += db_it dweight = (dWx, dWh, db, diWx, diWh, dib) dweights.append(dweight) # 本层得出的dx，作为下一层的误差输入 dh = dx dih = dix # 第一层，正反两个方向的误差相加，得到总的dx返回上一层 # 如果rnn是第一层，则误差不需要继续向上传递 # 返回x误差和各层参数误差 dh_t_all = dh + dih # 合并得到dx return dh_t_all, dweights def lstm_step_forward(self, x, prev_h, prev_c, Wx, Wh, b): """ Forward pass for a single timestep of an LSTM. The input data has dimension D, the hidden state has dimension H, and we use a minibatch size of N. Note that a sigmoid() function has already been provided for you in this file. Inputs: - x: Input data, of shape (N, D) - prev_h: Previous hidden state, of shape (N, H) - prev_c: previous cell state, of shape (N, H) - Wx: Input-to-hidden weights, of shape (D, 4H) - Wh: Hidden-to-hidden weights, of shape (H, 4H) - b: Biases, of shape (4H,) Returns a tuple of: - next_h: Next hidden state, of shape (N, H) - next_c: Next cell state, of shape (N, H) - cache: Tuple of values needed for backward pass. """ next_h, next_c, cache = None, None, None ############################################################################# # TODO: Implement the forward pass for a single timestep of an LSTM. # # You may want to use the numerically stable sigmoid implementation above. # 首层，x(N,T,D), 向上变成xh(N,T,H) # 首层 Wx(D,H), 向上变成Wxh(H,H) ############################################################################# H = prev_h.shape[1] # z , of shape(N,4H) z = Tools.matmul(x, Wx) + Tools.matmul(prev_h, Wh) + b # of shape(N,H) i = Tools.sigmoid(z[:, :H]) f = Tools.sigmoid(z[:, H:2 * H]) o = Tools.sigmoid(z[:, 2 * H:3 * H]) g = np.tanh(z[:, 3 * H:]) next_c = f * prev_c + i * g next_h = o * np.tanh(next_c) cache = (x, prev_h, prev_c, Wx, Wh, i, f, o, g, next_c) return next_h, next_c, cache def lstm_step_backward(self, dnext_h, dnext_c, cache): """ Backward pass for a single timestep of an LSTM. Inputs: - dnext_h: Gradients of next hidden state, of shape (N, H) - dnext_c: Gradients of next cell state, of shape (N, H) - cache: Values from the forward pass Returns a tuple of: - dx: Gradient of input data, of shape (N, D) - dprev_h: Gradient of previous hidden state, of shape (N, H) - dprev_c: Gradient of previous cell state, of shape (N, H) - dWx: Gradient of input-to-hidden weights, of shape (D, 4H) - dWh: Gradient of hidden-to-hidden weights, of shape (H, 4H) - db: Gradient of biases, of shape (4H,) """ dx, dprev_h, dprev_c, dWx, dWh, db = None, None, None, None, None, None ############################################################################# # TODO: Implement the backward pass for a single timestep of an LSTM. # # # # HINT: For sigmoid and tanh you can compute local derivatives in terms of # # the output value from the nonlinearity. # ############################################################################# x, prev_h, prev_c, Wx, Wh, i, f, o, g, next_c = cache dnext_c = dnext_c + o * (1 - np.tanh(next_c) ** 2) * dnext_h # next_h = o*np.tanh(next_c) di = dnext_c * g # next_c = f*prev_c + i*g df = dnext_c * prev_c # next_c = f*prev_c + i*g do = dnext_h * np.tanh(next_c) # next_h = o*np.tanh(next_c) dg = dnext_c * i # next_h = o*np.tanh(next_c) dprev_c = f * dnext_c # next_c = f*prev_c + i*g dz = np.hstack((i * (1 - i) * di, f * (1 - f) * df, o * (1 - o) * do, (1 - g ** 2) * dg)) # 共四部分 dx = Tools.matmul(dz, Wx.T) dprev_h = Tools.matmul(dz, Wh.T) dWx = Tools.matmul(x.T, dz) dWh = Tools.matmul(prev_h.T, dz) db = np.sum(dz, axis=0) ############################################################################## # END OF YOUR CODE # ############################################################################## return dx, dprev_h, dprev_c, dWx, dWh, db # GRU 类 class GRULayer(object): def __init__(self, LName, miniBatchesSize, nodesNum, layersNum, optimizerCls, optmParams, dropoutRRate, dataType, init_rng): # 初始化超参数 self.name = LName self.miniBatchesSize = miniBatchesSize self.nodesNum = nodesNum self.layersNum = layersNum # self.optimizer = optimizer self.dataType = dataType self.init_rng = init_rng self.isInited = False # 初始化标志 # dropout 的保留率 self.dropoutRRate = dropoutRRate self.dropoutMask = [] self.out = [] self.optimizerObjs = [optimizerCls(optmParams, dataType) for i in range(layersNum)] # 初始化w,u,b 和对应偏置,维度，层次和节点个数传参进去。但是没有T，所以不能创建参数 # 返回的是一个组合结构,按层次（数组）划分的U、W，字典 # 改为放在首batch X传入时lazy init self.gruParams = [] # 保存各层中间产出的 st和f(st)，用于前向和反向传播 # 不需要，已经在前反向传播中保留 self.deltaPrev = [] # 上一层激活后的误差输出 # N,H,L和优化器在初始化时定义 # T作为X的一个维度传进来 # tanh和sigmoid的前反向传播在类内部定义。 def _initNnWeight(self, D, H, layersNum, dataType): # 层次 gruParams = [] for layer in range(layersNum): Wzh = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, 2 * H)).astype(dataType) War = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, H)).astype(dataType) if (0 == layer): Wzx = np.random.uniform(-1 * self.init_rng, self.init_rng, (D, 2 * H)).astype(dataType) Wax = np.random.uniform(-1 * self.init_rng, self.init_rng, (D, H)).astype(dataType) else: Wzx = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, 2 * H)).astype(dataType) Wax = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, H)).astype(dataType) bz = np.zeros(2 * H, dataType) ba = np.zeros(H, dataType) gruParams.append({'Wzx': Wzx, 'Wzh': Wzh, 'bz': bz, 'Wax': Wax, 'War': War, 'ba': ba}) self.gruParams = gruParams def fp(self, input): out_tmp = self.inference(input) self.out, self.dropoutMask = Tools.dropout4rnn(out_tmp, self.dropoutRRate) return self.out # 预测时前向传播 def inference(self, x): N, T, D = x.shape H = self.nodesNum L = self.layersNum # lazy init if (False == self.isInited): self._initNnWeight(D, H, L, self.dataType) self.isInited = True # 缓存已经存入rnnParams里了,此处只需要返回输出结果(N,T,H) h = self.gru_forward(x) # N进 v 1出模型，只保留时序最后的一项输出 # self.out = h[:,-1,:] self.out = h return self.out # 反向传播方法(误差和权参) # TODO 实现反向传播逻辑，先按照时间，再按照层次，再更新Wx/Wf/b/V/bv 及偏置的反向传播梯度 def bp(self, input, delta_ori, lrt): if self.dropoutRRate == 1: delta = delta_ori else: delta = delta_ori * self.dropoutMask # dw是一个数组，对应结构的多层，每层的dw,dh,db,dh0表示需要参数梯度 N, T, D = input.shape H = delta.shape[1] # 只有最后一个T填delta，其余的dh梯度设置为0 dh = np.zeros((N, T, H), self.dataType) # dh[:,-1,:] = delta dh = delta dx, dweight = self.gru_backward(dh) # 根据梯度更新参数 self.bpWeights(dweight, lrt) return dx # 计算反向传播权重梯度w,b def bpWeights(self, dw, lrt): L = self.layersNum for l in range(L): w = (self.gruParams[l]['Wzx'], self.gruParams[l]['Wzh'], self.gruParams[l]['bz'], self.gruParams[l]['Wax'], self.gruParams[l]['War'], self.gruParams[l]['ba']) # self.gruParams[l]['Wzx'], self.gruParams[l]['Wzh'], self.gruParams[l]['bz'],self.gruParams[l]['Wax'], self.gruParams[l]['War'], self.gruParams[l]['ba'] = self.optimizerObjs[l].getUpdWeights(w, dw[L-1-l], lrt) self.optimizerObjs[l].getUpdWeights(w, dw[L - 1 - l], lrt) def gru_forward(self, x): """ Forward pass for an LSTM over an entire sequence of data. We assume an input sequence composed of T vectors, each of dimension D. The LSTM uses a hidden size of H, and we work over a minibatch containing N sequences. After running the LSTM forward, we return the hidden states for all timesteps. Note that the initial cell state is passed as input, but the initial cell state is set to zero. Also note that the cell state is not returned; it is an internal variable to the LSTM and is not accessed from outside. Inputs: - x: Input data of shape (N, T, D) - h0: Initial hidden state of shape (N, H) - Wx: Weights for input-to-hidden connections, of shape (D, 4H) - Wh: Weights for hidden-to-hidden connections, of shape (H, 4H) - b: Biases of shape (4H,) Returns a tuple of: - h: Hidden states for all timesteps of all sequences, of shape (N, T, H) - cache: Values needed for the backward pass. """ h, cache = None, None ############################################################################# # TODO: Implement the forward pass for an LSTM over an entire timeseries. # # You should use the lstm_step_forward function that you just defined. # # 首层，x(N,T,D), 向上变成xh(N,T,H) # 首层 Wx(D,H), 向上变成Wxh(H,H) ############################################################################# N, T, D = x.shape L = self.layersNum H = self.gruParams[0]['ba'].shape[0] # 取整 xh = x # 首层输入是x for layer in range(L): h = np.zeros((N, T, H)) h0 = np.zeros((N, H)) cache = [] for t in range(T): h[:, t, :], tmp_cache = self.gru_step_forward(xh[:, t, :], h[:, t - 1, :] if t > 0 else h0, self.gruParams[layer]['Wzx'], self.gruParams[layer]['Wzh'], self.gruParams[layer]['bz'], self.gruParams[layer]['Wax'], self.gruParams[layer]['War'], self.gruParams[layer]['ba'], ) cache.append(tmp_cache) xh = h # 之后以h作为xh作为跨层输入 ############################################################################## # END OF YOUR CODE # ############################################################################## self.gruParams[layer]['h'] = h self.gruParams[layer]['cache'] = cache return h def gru_backward(self, dh): """ Backward pass for an LSTM over an entire sequence of data.] Inputs: - dh: Upstream gradients of hidden states, of shape (N, T, H) - cache: Values from the forward pass Returns a tuple of: - dx: Gradient of input data of shape (N, T, D) - dh0: Gradient of initial hidden state of shape (N, H) - dWx: Gradient of input-to-hidden weight matrix of shape (D, 4H) - dWh: Gradient of hidden-to-hidden weight matrix of shape (H, 4H) - db: Gradient of biases, of shape (4H,) """ dx, dh0, dWzx, dWzh, dbz, dWax, dWar, dba = None, None, None, None, None, None, None, None ############################################################################# # TODO: Implement the backward pass for an LSTM over an entire timeseries. # # You should use the lstm_step_backward function that you just defined. # ############################################################################# N, T, H = dh.shape x, _, _, _, _, _, _, _, _, _ = self.gruParams[0]['cache'][0] D = x.shape[1] dh_prevl = dh # 保存各层dwh,dwx,和db dweights = [] for layer in range(self.layersNum - 1, -1, -1): # 得到前向传播保存的cache数组 cache = self.gruParams[layer]['cache'] DH = D if layer == 0 else H dx = np.zeros((N, T, DH)) dWzx = np.zeros((DH, 2 * H)) dWzh = np.zeros((H, 2 * H)) dbz = np.zeros((2 * H)) dWax = np.zeros((DH, H)) dWar = np.zeros((H, H)) dba = np.zeros((H)) dprev_h = np.zeros((N, H)) for t in range(T - 1, -1, -1): dx[:, t, :], dprev_h, dWzx_t, dWzh_t, dbz_t, dWax_t, dWar_t, dba_t = self.gru_step_backward( dh_prevl[:, t, :] + dprev_h, cache[t]) # 注意此处的叠加 dWzx += dWzx_t dWzh += dWzh_t dbz += dbz_t dWax += dWax_t dWar += dWar_t dba += dba_t # 本层得出的dx，作为下一层的prev_l dh_prevl = dx dweight = (dWzx, dWzh, dbz, dWax, dWar, dba) dweights.append(dweight) ############################################################################## # END OF YOUR CODE # ############################################################################## # 返回x误差和各层参数误差 return dx, dweights def gru_step_forward(self, x, prev_h, Wzx, Wzh, bz, Wax, War, ba): """ Forward pass for a single timestep of an LSTM. The input data has dimension D, the hidden state has dimension H, and we use a minibatch size of N. Note that a sigmoid() function has already been provided for you in this file. Inputs: - x: Input data, of shape (N, D) - prev_h: Previous hidden state, of shape (N, H) - prev_c: previous cell state, of shape (N, H) - Wzx: Input-to-hidden weights, of shape (D, 4H) - Wh: Hidden-to-hidden weights, of shape (H, 4H) - b: Biases, of shape (4H,) Returns a tuple of: - next_h: Next hidden state, of shape (N, H) - next_c: Next cell state, of shape (N, H) - cache: Tuple of values needed for backward pass. """ next_h, cache = None, None ############################################################################# # TODO: Implement the forward pass for a single timestep of an LSTM. # # You may want to use the numerically stable sigmoid implementation above. # 首层，x(N,T,D), 向上变成xh(N,T,H) # 首层 Wx(D,H), 向上变成Wxh(H,H) ############################################################################# H = prev_h.shape[1] # z_hat, of shape(N,4H) z_hat = Tools.matmul(x, Wzx) + Tools.matmul(prev_h, Wzh) + bz # of shape(N,H) r = Tools.sigmoid(z_hat[:, :H]) z = Tools.sigmoid(z_hat[:, H:2 * H]) a = Tools.matmul(x, Wax) + Tools.matmul(r * prev_h, War) + ba next_h = prev_h * (1. - z) + z * np.tanh(a) cache = (x, prev_h, Wzx, Wzh, Wax, War, z_hat, r, z, a) ############################################################################## # END OF YOUR CODE # ############################################################################## return next_h, cache def gru_step_backward(self, dnext_h, cache): """ Backward pass for a single timestep of an LSTM. Inputs: - dnext_h: Gradients of next hidden state, of shape (N, H) - dnext_c: Gradients of next cell state, of shape (N, H) - cache: Values from the forward pass Returns a tuple of: - dx: Gradient of input data, of shape (N, D) - dprev_h: Gradient of previous hidden state, of shape (N, H) - dprev_c: Gradient of previous cell state, of shape (N, H) - dWx: Gradient of input-to-hidden weights, of shape (D, 4H) - dWh: Gradient of hidden-to-hidden weights, of shape (H, 4H) - db: Gradient of biases, of shape (4H,) """ dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba = None, None, None, None, None, None, None, None ############################################################################# # TODO: Implement the backward pass for a single timestep of an LSTM. # # # # HINT: For sigmoid and tanh you can compute local derivatives in terms of # # the output value from the nonlinearity. # ############################################################################# x, prev_h, Wzx, Wzh, Wax, War, z_hat, r, z, a = cache N, D = x.shape H = dnext_h.shape[1] z_hat_H1 = z_hat[:, :H] z_hat_H2 = z_hat[:, H:2 * H] # delta tanha = np.tanh(a) dh = dnext_h da = dh * z * (1. - tanha ** 2) dh_prev_1 = dh * (1. - z) # dz = dh*(tanha-prev_h) dz_hat_2 = dh * (tanha - prev_h) * (z * (1. - z)) dhat_a = Tools.matmul(da, War.T) dr = dhat_a * prev_h dx_1 = Tools.matmul(da, Wax.T) dh_prev_2 = dhat_a * r # da* Tools.matmul(r,War.T) dz_hat_1 = dr * (r * (1. - r)) dz_hat = np.hstack((dz_hat_1, dz_hat_2)) dx_2 = Tools.matmul(dz_hat_1, Wzx[:, :H].T) dh_prev_3 = Tools.matmul(dz_hat_1, Wzh[:, :H].T) dx_3 = Tools.matmul(dz_hat_2, Wzx[:, H:2 * H].T) dh_prev_4 = Tools.matmul(dz_hat_2, Wzh[:, H:2 * H].T) dprev_h = dh_prev_1 + dh_prev_2 + dh_prev_3 + dh_prev_4 dx = dx_1 + dx_2 + dx_3 dWax = Tools.matmul(x.T, da) dWar = Tools.matmul((r * prev_h).T, da) dba = np.sum(da, axis=0) dWzx = Tools.matmul(x.T, dz_hat) dWzh = Tools.matmul(prev_h.T, dz_hat) dbz = np.sum(dz_hat, axis=0) ############################################################################## # END OF YOUR CODE # ############################################################################## return dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba def gru_step_backward_succ(self, dnext_h, cache): """ Backward pass for a single timestep of an LSTM. Inputs: - dnext_h: Gradients of next hidden state, of shape (N, H) - dnext_c: Gradients of next cell state, of shape (N, H) - cache: Values from the forward pass Returns a tuple of: - dx: Gradient of input data, of shape (N, D) - dprev_h: Gradient of previous hidden state, of shape (N, H) - dprev_c: Gradient of previous cell state, of shape (N, H) - dWx: Gradient of input-to-hidden weights, of shape (D, 4H) - dWh: Gradient of hidden-to-hidden weights, of shape (H, 4H) - db: Gradient of biases, of shape (4H,) """ dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba = None, None, None, None, None, None, None, None ############################################################################# # TODO: Implement the backward pass for a single timestep of an LSTM. # # # # HINT: For sigmoid and tanh you can compute local derivatives in terms of # # the output value from the nonlinearity. # ############################################################################# x, prev_h, Wzx, Wzh, Wax, War, z_hat, r, z, a = cache N, D = x.shape H = dnext_h.shape[1] z_hat_H1 = z_hat[:, :H] z_hat_H2 = z_hat[:, H:2 * H] # delta tanha = np.tanh(a) dh = dnext_h da = dh * z * (1. - tanha ** 2) dh_prev_1 = dh * (1. - z) # dz = dh * (z+tanha) # dz = dh*tanha+1.-dh*(1.-z)*prev_h # dz = dh*tanha+1.-dh*prev_h dz = dh * (tanha - prev_h) # dz_hat_2 = dz*(z*(1.-z)) dz_hat_2 = dh * (tanha - prev_h) * (z * (1. - z)) # dz_hat_2 = dz*(z_hat_H2*(1.-z_hat_H2)) dhat_a = Tools.matmul(da, War.T) # dz_hat_2 = dhat_r * r dr = dhat_a * prev_h dx_1 = Tools.matmul(da, Wax.T) dh_prev_2 = dhat_a * r # da* Tools.matmul(r,War.T) # dz_hat_1 = dh_prev_2 * (r * (1. - r)) dz_hat_1 = dr * (r * (1. - r)) # dz_hat_1 = prev_h * Tools.matmul(dh*z*(1-tanha**2), War.T)*(r*(1.-r)) dz_hat = np.hstack((dz_hat_1, dz_hat_2)) # dh_prev_3 = Tools.matmul(dz_hat_2,Wzh.T) # dx_2 = Tools.matmul(dz_hat_2,Wzx.T) dx_2 = Tools.matmul(dz_hat_1, Wzx[:, :H].T) # dh_prev_3 = Tools.matmul(dz_hat,Wzh.T) # dh_prev_3 = Tools.matmul(dz_hat_2,Wzh.T) dh_prev_3 = Tools.matmul(dz_hat_1, Wzh[:, :H].T) dx_23 = Tools.matmul(dz_hat, Wzx.T) # dx_3 = Tools.matmul(dz_hat_1,Wzx.T) dx_3 = Tools.matmul(dz_hat_2, Wzx[:, H:2 * H].T) # dh_prev_4 =Tools.matmul(dz_hat_1, Wzh.T) dh_prev_4 = Tools.matmul(dz_hat_2, Wzh[:, H:2 * H].T) # dx_3 = Tools.matmul(dz_hat,Wzx.T) # dh_prev_4 =Tools.matmul(dz_hat, Wzh.T) # dh_prev_34 = np.hstack((dh_prev_3, dh_prev_4)) # dh_prev_34 = Tools.matmul(dh_prev_34,Wzh.T) dh_prev_34 = Tools.matmul(dz_hat, Wzh.T) # dprev_h = dh_prev_1+dh_prev_2+dh_prev_34 * 2. #dh_prev_3 + dh_prev_4 # dx = dx_1 + dx_2*2. # +dx_3 # dprev_h = dh_prev_1+dh_prev_2+dh_prev_34 #dh_prev_3 + dh_prev_4 dprev_h = dh_prev_1 + dh_prev_2 + dh_prev_3 + dh_prev_4 # dx = dx_1 + dx_23 # +dx_3 dx = dx_1 + dx_2 + dx_3 dWax = Tools.matmul(x.T, da) dWar = Tools.matmul((r * prev_h).T, da) dba = np.sum(da, axis=0) dWzx = Tools.matmul(x.T, dz_hat) dWzh = Tools.matmul(prev_h.T, dz_hat) dbz = np.sum(dz_hat, axis=0) ############################################################################## # END OF YOUR CODE # ############################################################################## return dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba def gru_step_backward_v2(self, dnext_h, cache): """ Backward pass for a single timestep of an LSTM. Inputs: - dnext_h: Gradients of next hidden state, of shape (N, H) - dnext_c: Gradients of next cell state, of shape (N, H) - cache: Values from the forward pass Returns a tuple of: - dx: Gradient of input data, of shape (N, D) - dprev_h: Gradient of previous hidden state, of shape (N, H) - dprev_c: Gradient of previous cell state, of shape (N, H) - dWx: Gradient of input-to-hidden weights, of shape (D, 4H) - dWh: Gradient of hidden-to-hidden weights, of shape (H, 4H) - db: Gradient of biases, of shape (4H,) """ dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba = None, None, None, None, None, None, None, None ############################################################################# # TODO: Implement the backward pass for a single timestep of an LSTM. # # # # HINT: For sigmoid and tanh you can compute local derivatives in terms of # # the output value from the nonlinearity. # ############################################################################# x, prev_h, Wzx, Wzh, Wax, War, z_hat, r, z, a = cache N, D = x.shape H = dnext_h.shape[1] z_hat_H1 = z_hat[:, :H] z_hat_H2 = z_hat[:, H:2 * H] # delta tanha = np.tanh(a) dh = dnext_h da = dh * z * (1. - tanha ** 2) dh_prev_1 = dh * (1. - z) # dz = dh * (z+tanha) # dz = dh*tanha+1.-dh*(1.-z)*prev_h # dz = dh*tanha+1.-dh*prev_h dz = dh * (tanha - prev_h) # dz_hat_2 = dz*(z*(1.-z)) dz_hat_2 = dh * (tanha - prev_h) * (z * (1. - z)) # dz_hat_2 = dz*(z_hat_H2*(1.-z_hat_H2)) dhat_a = Tools.matmul(da, War.T) # dz_hat_2 = dhat_r * r dr = dhat_a * prev_h dx_1 = Tools.matmul(da, Wax.T) dh_prev_2 = dhat_a * r # da* Tools.matmul(r,War.T) # dz_hat_1 = dh_prev_2 * (r * (1. - r)) dz_hat_1 = dr * (r * (1. - r)) # dz_hat_1 = prev_h * Tools.matmul(dh*z*(1-tanha**2), War.T)*(r*(1.-r)) dz_hat = np.hstack((dz_hat_1, dz_hat_2)) # dh_prev_3 = Tools.matmul(dz_hat_2,Wzh.T) # dx_2 = Tools.matmul(dz_hat_2,Wzx.T) # dh_prev_3 = Tools.matmul(dz_hat,Wzh.T) # dh_prev_3 = Tools.matmul(dz_hat_2,Wzh.T) dx_23 = Tools.matmul(dz_hat, Wzx.T) # dx_3 = Tools.matmul(dz_hat_1,Wzx.T) # dh_prev_4 =Tools.matmul(dz_hat_1, Wzh.T) # dx_3 = Tools.matmul(dz_hat,Wzx.T) # dh_prev_4 =Tools.matmul(dz_hat, Wzh.T) # dh_prev_34 = np.hstack((dh_prev_3, dh_prev_4)) # dh_prev_34 = Tools.matmul(dh_prev_34,Wzh.T) dh_prev_34 = Tools.matmul(dz_hat, Wzh.T) # dprev_h = dh_prev_1+dh_prev_2+dh_prev_34 * 2. #dh_prev_3 + dh_prev_4 # dx = dx_1 + dx_2*2. # +dx_3 dprev_h = dh_prev_1 + dh_prev_2 + dh_prev_34 # dh_prev_3 + dh_prev_4 dx = dx_1 + dx_23 # +dx_3 dWax = Tools.matmul(x.T, da) dWar = Tools.matmul((r * prev_h).T, da) dba = np.sum(da, axis=0) dWzx = Tools.matmul(x.T, dz_hat) dWzh = Tools.matmul(prev_h.T, dz_hat) dbz = np.sum(dz_hat, axis=0) ############################################################################## # END OF YOUR CODE # ############################################################################## return dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba def gru_step_backward_v1(self, dnext_h, cache): """ Backward pass for a single timestep of an LSTM. Inputs: - dnext_h: Gradients of next hidden state, of shape (N, H) - dnext_c: Gradients of next cell state, of shape (N, H) - cache: Values from the forward pass Returns a tuple of: - dx: Gradient of input data, of shape (N, D) - dprev_h: Gradient of previous hidden state, of shape (N, H) - dprev_c: Gradient of previous cell state, of shape (N, H) - dWx: Gradient of input-to-hidden weights, of shape (D, 4H) - dWh: Gradient of hidden-to-hidden weights, of shape (H, 4H) - db: Gradient of biases, of shape (4H,) """ dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba = None, None, None, None, None, None, None, None ############################################################################# # TODO: Implement the backward pass for a single timestep of an LSTM. # # # # HINT: For sigmoid and tanh you can compute local derivatives in terms of # # the output value from the nonlinearity. # ############################################################################# x, prev_h, Wzx, Wzh, Wax, War, z_hat, r, z, a = cache N, D = x.shape H = dnext_h.shape[1] z_hat_H1 = z_hat[:, :H] z_hat_H2 = z_hat[:, H:2 * H] # delta tanha = np.tanh(a) dh = dnext_h da = dh * z * (1. - tanha * tanha) dh_prev_1 = dh * (1. - z) # dz = dh * (z+tanha) # dz = dh*tanha+1.-dh*(1.-z)*prev_h # dz = dh*tanha+1.-dh*prev_h dz = dh * (tanha - prev_h) dz_hat_2 = dz * (z * (1. - z)) # dz_hat_2 = dz*(z_hat_H2*(1.-z_hat_H2)) dhat_a = Tools.matmul(da, War.T) # dz_hat_2 = dhat_r * r dr = dhat_a * prev_h dx_1 = Tools.matmul(da, Wax.T) dh_prev_2 = dhat_a * r # da* Tools.matmul(r,War.T) # dz_hat_1 = dh_prev_2 * (r * (1. - r)) dz_hat_1 = dr * (r * (1. - r)) dz_hat = np.hstack((dz_hat_1, dz_hat_2)) # dh_prev_3 = Tools.matmul(dz_hat_2,Wzh.T) # dx_2 = Tools.matmul(dz_hat_2,Wzx.T) # dh_prev_3 = Tools.matmul(dz_hat,Wzh.T) # dh_prev_3 = Tools.matmul(dz_hat_2,Wzh.T) dx_2 = Tools.matmul(dz_hat, Wzx.T) # dx_3 = Tools.matmul(dz_hat_1,Wzx.T) # dh_prev_4 =Tools.matmul(dz_hat_1, Wzh.T) # dx_3 = Tools.matmul(dz_hat,Wzx.T) # dh_prev_4 =Tools.matmul(dz_hat, Wzh.T) # dh_prev_34 = np.hstack((dh_prev_3, dh_prev_4)) # dh_prev_34 = Tools.matmul(dh_prev_34,Wzh.T) dh_prev_34 = Tools.matmul(dz_hat, Wzh.T) # dprev_h = dh_prev_1+dh_prev_2+dh_prev_34 * 2. #dh_prev_3 + dh_prev_4 # dx = dx_1 + dx_2*2. # +dx_3 dprev_h = dh_prev_1 + dh_prev_2 + dh_prev_34 # dh_prev_3 + dh_prev_4 dx = dx_1 + dx_2 # +dx_3 dWax = Tools.matmul(x.T, da) dWar = Tools.matmul((r * prev_h).T, da) dba = np.sum(da, axis=0) dWzx = Tools.matmul(x.T, dz_hat) dWzh = Tools.matmul(prev_h.T, dz_hat) dbz = np.sum(dz_hat, axis=0) ############################################################################## # END OF YOUR CODE # ############################################################################## return dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba def gru_step_backward_v0(self, dnext_h, cache): """ Inputs: - dnext_h: Gradients of next hidden state, of shape (N, H) - dnext_c: Gradients of next cell state, of shape (N, H) - cache: Values from the forward pass Returns a tuple of: - dx: Gradient of input data, of shape (N, D) - dprev_h: Gradient of previous hidden state, of shape (N, H) - dprev_c: Gradient of previous cell state, of shape (N, H) - dWx: Gradient of input-to-hidden weights, of shape (D, 4H) - dWh: Gradient of hidden-to-hidden weights, of shape (H, 4H) - db: Gradient of biases, of shape (4H,) """ dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba = None, None, None, None, None, None, None, None x, prev_h, Wzx, Wzh, Wax, War, z_hat, r, z, a = cache N, D = x.shape H = dnext_h.shape[1] z_hat_H1 = z_hat[:, :H] z_hat_H2 = z_hat[:, H:2 * H] # delta tanha = np.tanh(a) dh = dnext_h da = dh * z * (1. - tanha * tanha) dh_prev_1 = dh * (1. - z) dz = dh * (z + tanha) dz_hat_2 = dz * (z * (1. - z)) d13 = np.matmul(da, War.T) dr = d13 * prev_h dx_1 = np.matmul(da, Wax.T) dh_prev_2 = d13 * r dz_hat_1 = dh_prev_2 * (r * (1. - r)) dz_hat = np.hstack((dz_hat_1, dz_hat_2)) dh_prev_3 = np.matmul(dz_hat, Wzh.T) dx_2 = np.matmul(dz_hat, Wzx.T) dx_3 = np.matmul(dz_hat, Wzx.T) dh_prev_4 = np.matmul(dz_hat, Wzh.T) dprev_h = dh_prev_1 + dh_prev_2 + dh_prev_3 + dh_prev_4 dx = dx_1 + dx_2 + dx_3 dWax = np.matmul(x.T, da) dWar = np.matmul((r * prev_h).T, da) dba = np.sum(da, axis=0) dWzx = np.matmul(x.T, dz_hat) dWzh = np.matmul(prev_h.T, dz_hat) dbz = np.sum(dz_hat, axis=0) return dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba # concat 方式 class BiGRULayer(object): def __init__(self, LName, miniBatchesSize, nodesNum, layersNum, optimizerCls, optmParams, dropoutRRate, dataType, init_rng): # 初始化超参数 self.name = LName self.miniBatchesSize = miniBatchesSize self.nodesNum = nodesNum self.layersNum = layersNum self.dataType = dataType self.init_rng = init_rng self.isInited = False # 初始化标志 # dropout 的保留率 self.dropoutRRate = dropoutRRate self.dropoutMask = [] self.out = [] self.optimizerObjs = [optimizerCls(optmParams, dataType) for i in range(layersNum)] # 初始化w,u,b 和对应偏置,维度，层次和节点个数传参进去。但是没有T，所以不能创建参数 # 返回的是一个组合结构,按层次（数组）划分的U、W，字典 # 改为放在首batch X传入时lazy init self.gruParams = [] # 不需要保存各层中间产出的 st和f(st)，已经在前反向传播中保留，用于前向和反向传播， self.deltaPrev = [] # 上一层激活后的误差输出 # N,H,L和优化器在初始化时定义 # T作为X的一个维度传进来 # tanh和sigmoid的前反向传播在类内部定义。 def _initNnWeight(self, D, H, layersNum, dataType): # 层次 gruParams = [] for layer in range(layersNum): # 右向 Wzh = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, 2 * H)).astype(dataType) War = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, H)).astype(dataType) # 左向 iWzh = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, 2 * H)).astype(dataType) iWar = np.random.uniform(-1 * self.init_rng, self.init_rng, (H, H)).astype(dataType) DH = D if layer == 0 else H # 右向 Wzx = np.random.uniform(-1 * self.init_rng, self.init_rng, (DH, 2 * H)).astype(dataType) Wax = np.random.uniform(-1 * self.init_rng, self.init_rng, (DH, H)).astype(dataType) bz = np.zeros(2 * H, dataType) ba = np.zeros(H, dataType) # 左向 iWzx = np.random.uniform(-1 * self.init_rng, self.init_rng, (DH, 2 * H)).astype(dataType) iWax = np.random.uniform(-1 * self.init_rng, self.init_rng, (DH, H)).astype(dataType) ibz = np.zeros(2 * H, dataType) iba = np.zeros(H, dataType) gruParams.append({'Wzx': Wzx, 'Wzh': Wzh, 'bz': bz, 'Wax': Wax, 'War': War, 'ba': ba, 'iWzx': iWzx, 'iWzh': iWzh, 'ibz': ibz, 'iWax': iWax, 'iWar': iWar, 'iba': iba }) self.gruParams = gruParams def fp(self, input): out_tmp = self.inference(input) self.out, self.dropoutMask = Tools.dropout4rnn(out_tmp, self.dropoutRRate) return self.out # 预测时前向传播 def inference(self, x): N, T, D = x.shape H = self.nodesNum L = self.layersNum # lazy init if (False == self.isInited): self._initNnWeight(D, H, L, self.dataType) self.isInited = True # 缓存已经存入rnnParams里了,此处只需要返回输出结果(N,T,H) # N进 v 1出模型，只保留时序最后的一项输出 # h = self.gru_forward(x) # self.out = h[:,-1,:] # N进N出模型，全部输出 self.out = self.gru_forward(x) return self.out # 反向传播方法(误差和权参) def bp(self, input, delta_ori, lrt): if self.dropoutRRate == 1: delta = delta_ori else: delta = delta_ori * self.dropoutMask # dw是一个数组，对应结构的多层，每层的dw,dh,db,dh0表示需要参数梯度 # N v 1 只有最后一个T填delta，其余的dh梯度设置为0 # N, T, D = input.shape # H = delta.shape[1] # dh = np.zeros((N, T, H), self.dataType) # dh[:,-1,:] = delta # N v N模型 dh = delta dx, dweight = self.gru_backward(dh) # 根据梯度更新参数 self.bpWeights(dweight, lrt) return dx # 计算反向传播权重梯度w,b def bpWeights(self, dw, lrt): L = self.layersNum for l in range(L): # w = (self.gruParams[l]['Wzx'], self.gruParams[l]['Wzh'], self.gruParams[l]['bz'], # self.gruParams[l]['Wax'], self.gruParams[l]['War'], self.gruParams[l]['ba'], # self.gruParams[l]['iWzx'], self.gruParams[l]['iWzh'], self.gruParams[l]['ibz'], # self.gruParams[l]['iWax'], self.gruParams[l]['iWar'], self.gruParams[l]['iba'] # # ,self.gruParams[l]['U'], self.gruParams[l]['V'], self.gruParams[l]['bc'] # ) params=self.gruParams[l] w = (params['Wzx'], params['Wzh'], params['bz'], params['Wax'], params['War'], params['ba'], params['iWzx'], params['iWzh'], params['ibz'], params['iWax'], params['iWar'], params['iba'] ) # is_same0 = op.eq(w,w0) # 梯度倒序append到dw中 self.optimizerObjs[l].getUpdWeights(w, dw[L - 1 - l], lrt) def bpWeights_v1(self, dw, lrt): L = self.layersNum for l in range(L): w = (self.gruParams[l]['Wzx'], self.gruParams[l]['Wzh'], self.gruParams[l]['bz'], self.gruParams[l]['Wax'], self.gruParams[l]['War'], self.gruParams[l]['ba'], self.gruParams[l]['iWzx'], self.gruParams[l]['iWzh'], self.gruParams[l]['ibz'], self.gruParams[l]['iWax'], self.gruParams[l]['iWar'], self.gruParams[l]['iba'] # ,self.gruParams[l]['U'], self.gruParams[l]['V'], self.gruParams[l]['bc'] ) w1 = (self.gruParams[l][element] for element in self.gruParams[l]) w2 = (v for (k,v) in self.gruParams[l].items()) is_same1 = op.eq(w,w1) is_same2 = op.eq(w, w2) # 梯度倒序append到dw中 self.optimizerObjs[l].getUpdWeights(w, dw[L - 1 - l], lrt) def gru_forward(self, x): """ Forward pass for an BiGRU over an entire sequence of data. We assume an input sequence composed of T vectors, each of dimension D. The LSTM uses a hidden size of H, and we work over a minibatch containing N sequences. After running the LSTM forward, we return the hidden states for all timesteps. Note that the initial cell state is passed as input, but the initial cell state is set to zero. Also note that the cell state is not returned; it is an internal variable to the LSTM and is not accessed from outside. Inputs: - x: Input data of shape (N, T, D) - h0: Initial hidden state of shape (N, H) - Wx: Weights for input-to-hidden connections, of shape (D, 4H) - Wh: Weights for hidden-to-hidden connections, of shape (H, 4H) - b: Biases of shape (4H,) Returns a tuple of: - h: Hidden states for all timesteps of all sequences, of shape (N, T, H) - cache: Values needed for the backward pass. """ ############################################################################# # 首层，x(N,T,D), 向上变成xh(N,T,H) # 首层 Wx(D,H), 向上变成Wxh(H,H) ############################################################################# N, T, D = x.shape L = self.layersNum H = self.gruParams[0]['ba'].shape[0] # 取整 xh = x # 首层输入是x ixh= x # 反向 for layer in range(L): h0 = np.zeros((N, H)) # 右向 h = np.zeros((N, T, H)) cache = [] # 左向 ih = np.zeros((N, T, H)) icache = [] for t in range(T): # 右向 h[:, t, :], tmp_cache = self.gru_step_forward(xh[:, t, :], h[:, t - 1, :] if t > 0 else h0, self.gruParams[layer]['Wzx'], self.gruParams[layer]['Wzh'], self.gruParams[layer]['bz'], self.gruParams[layer]['Wax'], self.gruParams[layer]['War'], self.gruParams[layer]['ba'] ) cache.append(tmp_cache) # 左向 ih[:, T - 1 - t , :], tmp_icache = self.gru_step_forward(ixh[:, T - 1 - t, :], ih[:, T - t, :] if t > 0 else h0, self.gruParams[layer]['iWzx'], self.gruParams[layer]['iWzh'], self.gruParams[layer]['ibz'], self.gruParams[layer]['iWax'], self.gruParams[layer]['iWar'], self.gruParams[layer]['iba'] ) # icache是下标和ih下标是返向的 ) icache.append(tmp_icache) # 右向 self.gruParams[layer]['h'] = h self.gruParams[layer]['cache'] = cache # 左向 self.gruParams[layer]['ih'] = ih self.gruParams[layer]['icache'] = icache xh = h ixh = ih xh_final = np.concatenate((xh, ixh), axis=2) # 在H维度上做拼接 # self.gruParams[layer]['xh_final'] = xh_final return xh_final def gru_backward(self, dh_all): """ Backward pass for an BiLSTM over an entire sequence of data.] Inputs: - dh: Upstream gradients of hidden states, of shape (N, T, 2H) - cache: Values from the forward pass Returns a tuple of: - dx: Gradient of input data of shape (N, T, D) - dh0: Gradient of initial hidden state of shape (N, H) - dWx: Gradient of input-to-hidden weight matrix of shape (D, 4H) - dWh: Gradient of hidden-to-hidden weight matrix of shape (H, 4H) - db: Gradient of biases, of shape (4H,) """ dx, dh0, dWzx, dWzh, dbz, dWax, dWar, dba = None, None, None, None, None, None, None, None diWzx, diWzh, dibz, diWax, diWar, diba = None, None, None, None, None, None dU, dV, dbc = None, None, None ############################################################################# # TODO: Implement the backward pass for an LSTM over an entire timeseries. # # You should use the lstm_step_backward function that you just defined. # ############################################################################# N, T, H_time_2 = dh_all.shape #得到的误差是batch *T* 2H H = int(H_time_2 / 2) # N, T, H = dh_all.shape x, _, _, _, _, _, _, _, _, _ = self.gruParams[0]['cache'][0] D = x.shape[1] dh = dh_all[:,:,0:H] dih = dh_all[:,:,H:2*H] dweights = [] for layer in range(self.layersNum - 1, -1, -1): dh_prevl = dh dih_prevl = dih DH = D if layer == 0 else H # 右向得到前向传播保存的cache数组 cache = self.gruParams[layer]['cache'] dx = np.zeros((N, T, DH)) dWzx = np.zeros((DH, 2 * H)) dWzh = np.zeros((H, 2 * H)) dbz = np.zeros((2 * H)) dWax = np.zeros((DH, H)) dWar = np.zeros((H, H)) dba = np.zeros((H)) dprev_h = np.zeros((N, H)) # 左向 icache = self.gruParams[layer]['icache'] dix = np.zeros((N, T, DH)) diWzx = np.zeros((DH, 2 * H)) diWzh = np.zeros((H, 2 * H)) dibz = np.zeros((2 * H)) diWax = np.zeros((DH, H)) diWar = np.zeros((H, H)) diba = np.zeros((H)) dprev_ih = np.zeros((N, H)) for t in range(T - 1, -1, -1): # 右向 dx[:, t, :], dprev_h, dWzx_t, dWzh_t, dbz_t, dWax_t, dWar_t, dba_t = self.gru_step_backward( dh_prevl[:, t, :] + dprev_h, cache[t]) # 注意此处的叠加 dWzx += dWzx_t dWzh += dWzh_t dbz += dbz_t dWax += dWax_t dWar += dWar_t dba += dba_t dix[:, T-1-t, :], dprev_ih, diWzx_t, diWzh_t, dibz_t, diWax_t, diWar_t, diba_t = self.gru_step_backward( dih_prevl[:, T- 1 - t, :] + dprev_ih, icache[t]) # 注意此处的叠加，逆序 diWzx += diWzx_t diWzh += diWzh_t dibz += dibz_t diWax += diWax_t diWar += diWar_t diba += diba_t dweight = (dWzx, dWzh, dbz, dWax, dWar, dba, diWzx, diWzh, dibz, diWax, diWar, diba #,dU, dV, dbc_final ) dweights.append(dweight) dh = dx dih = dix dh_t_all = dh + dih # 合并得到dx return dh_t_all, dweights def gru_step_forward(self, x, prev_h, Wzx, Wzh, bz, Wax, War, ba): """ Forward pass for a single timestep of an GRU&BiGRU. The input data has dimension D, the hidden state has dimension H, and we use a minibatch size of N. Note that a sigmoid() function has already been provided for you in this file. Inputs: - x: Input data, of shape (N, D) - prev_h: Previous hidden state, of shape (N, H) - prev_c: previous cell state, of shape (N, H) - Wzx: Input-to-hidden weights, of shape (D, 4H) - Wh: Hidden-to-hidden weights, of shape (H, 4H) - b: Biases, of shape (4H,) Returns a tuple of: - next_h: Next hidden state, of shape (N, H) - next_c: Next cell state, of shape (N, H) - cache: Tuple of values needed for backward pass. """ # next_h, cache = None, None ############################################################################# # 首层，x(N,T,D), 向上变成xh(N,T,H) # 首层 Wx(D,H), 向上变成Wxh(H,H) ############################################################################# H = prev_h.shape[1] # z_hat, of shape(N,4H) z_hat = Tools.matmul(x, Wzx) + Tools.matmul(prev_h, Wzh) + bz # of shape(N,H) r = Tools.sigmoid(z_hat[:, :H]) z = Tools.sigmoid(z_hat[:, H:2 * H]) a = Tools.matmul(x, Wax) + Tools.matmul(r * prev_h, War) + ba tanha = np.tanh(a) next_h = prev_h * (1. - z) + z * tanha # cache = (x, prev_h, Wzx, Wzh, Wax, War, z_hat, r, z, a, tanha) cache = (x, prev_h, Wzx, Wzh, Wax, War, z_hat, r, z, tanha) return next_h, cache def gru_step_backward(self, dnext_h, cache): """ Backward pass for a single timestep of an GRU&BiGRU. Inputs: - dnext_h: Gradients of next hidden state, of shape (N, H) - dnext_c: Gradients of next cell state, of shape (N, H) - cache: Values from the forward pass Returns a tuple of: - dx: Gradient of input data, of shape (N, D) - dprev_h: Gradient of previous hidden state, of shape (N, H) - dprev_c: Gradient of previous cell state, of shape (N, H) - dWx: Gradient of input-to-hidden weights, of shape (D, 4H) - dWh: Gradient of hidden-to-hidden weights, of shape (H, 4H) - db: Gradient of biases, of shape (4H,) """ dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba = None, None, None, None, None, None, None, None ############################################################################# # HINT: For sigmoid and tanh you can compute local derivatives in terms of # # the output value from the nonlinearity. # ############################################################################# # x, prev_h, Wzx, Wzh, Wax, War, z_hat, r, z, a, tanha = cache x, prev_h, Wzx, Wzh, Wax, War, z_hat, r, z, tanha = cache # N, D = x.shape H = dnext_h.shape[1] # delta # tanha = np.tanh(a) dh = dnext_h da = dh * z * (1. - tanha ** 2) dh_prev_1 = dh * (1. - z) # dz_hat_2_n = dh * (tanha - prev_h) * (z * (1. - z)) dz_hat_2 = (tanha - prev_h) * z * dh_prev_1 # isSame1 = np.allclose(dz_hat_2,dz_hat_2_n) dhat_a = Tools.matmul(da, War.T) dr = dhat_a * prev_h dx_1 = Tools.matmul(da, Wax.T) dh_prev_2 = dhat_a * r # da* Tools.matmul(r,War.T) dz_hat_1 = dr * (r * (1. - r)) dz_hat = np.hstack((dz_hat_1, dz_hat_2)) dx_2 = Tools.matmul(dz_hat_1, Wzx[:, :H].T) dh_prev_3 = Tools.matmul(dz_hat_1, Wzh[:, :H].T) dx_3 = Tools.matmul(dz_hat_2, Wzx[:, H:2 * H].T) dh_prev_4 = Tools.matmul(dz_hat_2, Wzh[:, H:2 * H].T) dprev_h = dh_prev_1 + dh_prev_2 + dh_prev_3 + dh_prev_4 dx = dx_1 + dx_2 + dx_3 dWax = Tools.matmul(x.T, da) dWar = Tools.matmul((r * prev_h).T, da) dba = np.sum(da, axis=0) dWzx = Tools.matmul(x.T, dz_hat) dWzh = Tools.matmul(prev_h.T, dz_hat) dbz = np.sum(dz_hat, axis=0) return dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba def gru_step_backward_succ(self, dnext_h, cache): """ Backward pass for a single timestep of an GRU&BiGRU. Inputs: - dnext_h: Gradients of next hidden state, of shape (N, H) - dnext_c: Gradients of next cell state, of shape (N, H) - cache: Values from the forward pass Returns a tuple of: - dx: Gradient of input data, of shape (N, D) - dprev_h: Gradient of previous hidden state, of shape (N, H) - dprev_c: Gradient of previous cell state, of shape (N, H) - dWx: Gradient of input-to-hidden weights, of shape (D, 4H) - dWh: Gradient of hidden-to-hidden weights, of shape (H, 4H) - db: Gradient of biases, of shape (4H,) """ dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba = None, None, None, None, None, None, None, None ############################################################################# # HINT: For sigmoid and tanh you can compute local derivatives in terms of # # the output value from the nonlinearity. # ############################################################################# x, prev_h, Wzx, Wzh, Wax, War, z_hat, r, z, a = cache N, D = x.shape H = dnext_h.shape[1] # delta tanha = np.tanh(a) dh = dnext_h da = dh * z * (1. - tanha ** 2) dh_prev_1 = dh * (1. - z) # dz = dh*(tanha-prev_h) dz_hat_2 = dh * (tanha - prev_h) * (z * (1. - z)) dhat_a = Tools.matmul(da, War.T) dr = dhat_a * prev_h dx_1 = Tools.matmul(da, Wax.T) dh_prev_2 = dhat_a * r # da* Tools.matmul(r,War.T) dz_hat_1 = dr * (r * (1. - r)) dz_hat = np.hstack((dz_hat_1, dz_hat_2)) dx_2 = Tools.matmul(dz_hat_1, Wzx[:, :H].T) dh_prev_3 = Tools.matmul(dz_hat_1, Wzh[:, :H].T) dx_3 = Tools.matmul(dz_hat_2, Wzx[:, H:2 * H].T) dh_prev_4 = Tools.matmul(dz_hat_2, Wzh[:, H:2 * H].T) dprev_h = dh_prev_1 + dh_prev_2 + dh_prev_3 + dh_prev_4 dx = dx_1 + dx_2 + dx_3 dWax = Tools.matmul(x.T, da) dWar = Tools.matmul((r * prev_h).T, da) dba = np.sum(da, axis=0) dWzx = Tools.matmul(x.T, dz_hat) dWzh = Tools.matmul(prev_h.T, dz_hat) dbz = np.sum(dz_hat, axis=0) return dx, dprev_h, dWzx, dWzh, dbz, dWax, dWar, dba

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0.460444

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92,817

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7

686b4d95e0ab4186f262c0c3d04dc05af00442cf

837

py

Python

day13/data.py

ogun/advent-of-code-2020

1dcf268f9f1f6cd7c46d442b6aaa9b19ec5b2cf1

[ "MIT" ]

4

2020-12-03T13:22:12.000Z

2020-12-22T21:51:49.000Z

day13/data.py

ogun/advent-of-code-2020

1dcf268f9f1f6cd7c46d442b6aaa9b19ec5b2cf1

[ "MIT" ]

null

day13/data.py

ogun/advent-of-code-2020

1dcf268f9f1f6cd7c46d442b6aaa9b19ec5b2cf1

[ "MIT" ]

1

2020-12-12T13:41:12.000Z

INPUT = ( 1000066, [ 13, "x", "x", 41, "x", "x", "x", 37, "x", "x", "x", "x", "x", 659, "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", 19, "x", "x", "x", 23, "x", "x", "x", "x", "x", 29, "x", 409, "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", 17, ], )

12.308824

12

0.101553

64

837

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1.058824

1.341176

1.505882

0.517647

0.4

0

0.103846

0.689367

837

67

13

12.492537

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0

0.063321

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1

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1

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1

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null

0

7

686ca0b3f51e4795b6e3a5aeb8b229e9770e53c8

12,874

py

Python

tests/channels/test_paymentchannel.py

febuiles/two1-python

88704487dba7715f97a0980781d4c0efb2ea7fc4

[ "BSD-2-Clause-FreeBSD" ]

null

tests/channels/test_paymentchannel.py

febuiles/two1-python

88704487dba7715f97a0980781d4c0efb2ea7fc4

[ "BSD-2-Clause-FreeBSD" ]

null

tests/channels/test_paymentchannel.py

febuiles/two1-python

88704487dba7715f97a0980781d4c0efb2ea7fc4

[ "BSD-2-Clause-FreeBSD" ]

null

import time import pytest import two1.channels.statemachine as statemachine import two1.channels.paymentchannel as paymentchannel import two1.channels.walletwrapper as walletwrapper import two1.channels.database as database import tests.channels.mock as mock # Monkey-patch mock payment channel server protocol paymentchannel.SupportedProtocols['mock'] = mock.MockPaymentChannelServer def assert_paymentchannel_state(expected, actual): for attr in expected: if callable(expected[attr]): assert expected[attr](actual) else: assert expected[attr] == getattr(actual, attr) def test_paymentchannel_typical(): # Create mocked dependencies bc = mock.MockBlockchain() wallet = walletwrapper.Two1WalletWrapper(mock.MockTwo1Wallet(), bc) db = database.Sqlite3Database(":memory:") # Link the mock blockchain to the mock payment channel server as it is a # non-injected dependency. mock.MockPaymentChannelServer.blockchain = bc # Clear mock payment channel server channels. mock.MockPaymentChannelServer.channels = {} # Open a payment channel with 100000 deposit, 86400 seconds expiration, and 10000 fee pc = paymentchannel.PaymentChannel.open(db, wallet, bc, 'mock://test', 100000, 86400, 10000, False) # Assert payment channel properties expected_state = {} expected_state['url'] = "mock://test/" + pc.deposit_txid expected_state['state'] = statemachine.PaymentChannelState.CONFIRMING_DEPOSIT expected_state['ready'] = False expected_state['balance'] = 100000 expected_state['deposit'] = 100000 expected_state['fee'] = 10000 expected_state['creation_time'] = lambda pc: pc.creation_time > 0 expected_state['expiration_time'] = int(pc.creation_time + 86400) expected_state['expired'] = False expected_state['refund_tx'] = lambda pc: pc.refund_tx expected_state['refund_txid'] = lambda pc: pc.refund_txid expected_state['deposit_tx'] = lambda pc: pc.deposit_tx expected_state['deposit_txid'] = lambda pc: pc.deposit_txid expected_state['payment_tx'] = None expected_state['spend_tx'] = None expected_state['spend_txid'] = None assert_paymentchannel_state(expected_state, pc) # Check database with db: assert db.list() == [pc.url] assert db.read(pc.url) # Check blockchain assert bc.check_confirmed(pc.deposit_txid) is False assert bc.lookup_tx(pc.deposit_txid) == pc.deposit_tx # Try premature payment with pytest.raises(paymentchannel.NotReadyError): pc.pay(1) # Try premature close with pytest.raises(paymentchannel.NotReadyError): pc.close() # Sync payment channel pc.sync() expected_state['state'] = statemachine.PaymentChannelState.CONFIRMING_DEPOSIT expected_state['ready'] = False assert_paymentchannel_state(expected_state, pc) # Confirm deposit bc.mock_confirm(pc.deposit_txid) # Sync payment channel pc.sync() expected_state['state'] = statemachine.PaymentChannelState.READY expected_state['ready'] = True assert_paymentchannel_state(expected_state, pc) # Try excess payment with pytest.raises(paymentchannel.InsufficientBalanceError): pc.pay(pc.balance + 1) # Try premature close with pytest.raises(paymentchannel.NoPaymentError): pc.close() # Make regular payments assert pc.pay(1500) expected_state['payment_tx'] = lambda pc: pc.payment_tx expected_state['balance'] = 97000 assert_paymentchannel_state(expected_state, pc) assert pc.pay(1) expected_state['payment_tx'] = lambda pc: pc.payment_tx expected_state['balance'] = 96999 assert_paymentchannel_state(expected_state, pc) assert pc.pay(15) expected_state['payment_tx'] = lambda pc: pc.payment_tx expected_state['balance'] = 96984 assert_paymentchannel_state(expected_state, pc) assert pc.pay(20000) expected_state['payment_tx'] = lambda pc: pc.payment_tx expected_state['balance'] = 76984 assert_paymentchannel_state(expected_state, pc) # Close payment channel pc.close() # Check payment channel properties expected_state['state'] = statemachine.PaymentChannelState.CONFIRMING_SPEND expected_state['ready'] = False expected_state['spend_txid'] = str(mock.MockPaymentChannelServer.channels[pc.deposit_txid]['payment_tx'].hash) assert_paymentchannel_state(expected_state, pc) # Sync payment channel pc.sync() assert_paymentchannel_state(expected_state, pc) # Confirm spend bc.mock_confirm(pc.spend_txid) # Sync payment channel pc.sync() expected_state['state'] = statemachine.PaymentChannelState.CLOSED expected_state['spend_tx'] = mock.MockPaymentChannelServer.channels[pc.deposit_txid]['payment_tx'].to_hex() assert_paymentchannel_state(expected_state, pc) # Try payment on closed channel with pytest.raises(paymentchannel.ClosedError): pc.pay(1) def test_paymentchannel_typical_zeroconf(): # Create mocked dependencies bc = mock.MockBlockchain() wallet = walletwrapper.Two1WalletWrapper(mock.MockTwo1Wallet(), bc) db = database.Sqlite3Database(":memory:") # Link the mock blockchain to the mock payment channel server as it is a # non-injected dependency. mock.MockPaymentChannelServer.blockchain = bc # Clear mock payment channel server channels. mock.MockPaymentChannelServer.channels = {} # Open a payment channel with 100000 deposit, 86400 seconds expiration, and 10000 fee pc = paymentchannel.PaymentChannel.open(db, wallet, bc, 'mock://test', 100000, 86400, 10000, True) # Assert payment channel properties expected_state = {} expected_state['url'] = "mock://test/" + pc.deposit_txid expected_state['state'] = statemachine.PaymentChannelState.READY expected_state['ready'] = True expected_state['balance'] = 100000 expected_state['deposit'] = 100000 expected_state['fee'] = 10000 expected_state['creation_time'] = lambda pc: pc.creation_time > 0 expected_state['expiration_time'] = int(pc.creation_time + 86400) expected_state['expired'] = False expected_state['refund_tx'] = lambda pc: pc.refund_tx expected_state['refund_txid'] = lambda pc: pc.refund_txid expected_state['deposit_tx'] = lambda pc: pc.deposit_tx expected_state['deposit_txid'] = lambda pc: pc.deposit_txid expected_state['payment_tx'] = None expected_state['spend_tx'] = None expected_state['spend_txid'] = None assert_paymentchannel_state(expected_state, pc) # Make a few payments and close the channel pc.pay(1) pc.pay(1) pc.pay(1) pc.close() # Check payment channel properties expected_state['state'] = statemachine.PaymentChannelState.CONFIRMING_SPEND expected_state['ready'] = False expected_state['payment_tx'] = lambda pc: pc.payment_tx expected_state['balance'] = 96998 expected_state['spend_txid'] = lambda pc: pc.spend_txid assert_paymentchannel_state(expected_state, pc) def test_paymentchannel_expiration(): # Create mocked dependencies bc = mock.MockBlockchain() wallet = walletwrapper.Two1WalletWrapper(mock.MockTwo1Wallet(), bc) db = database.Sqlite3Database(":memory:") # Link the mock blockchain to the mock payment channel server as it is a # non-injected dependency. mock.MockPaymentChannelServer.blockchain = bc # Clear mock payment channel server channels. mock.MockPaymentChannelServer.channels = {} # Open a payment channel with 100000 deposit, 86400 seconds expiration, and 10000 fee pc = paymentchannel.PaymentChannel.open(db, wallet, bc, 'mock://test', 100000, 86400, 10000, False) # Confirm the deposit tx bc.mock_confirm(pc.deposit_txid) pc.sync() # Assert payment channel properties expected_state = {} expected_state['url'] = "mock://test/" + pc.deposit_txid expected_state['state'] = statemachine.PaymentChannelState.READY expected_state['ready'] = True expected_state['balance'] = 100000 expected_state['deposit'] = 100000 expected_state['fee'] = 10000 expected_state['creation_time'] = lambda pc: pc.creation_time > 0 expected_state['expiration_time'] = int(pc.creation_time + 86400) expected_state['expired'] = False expected_state['refund_tx'] = lambda pc: pc.refund_tx expected_state['refund_txid'] = lambda pc: pc.refund_txid expected_state['deposit_tx'] = lambda pc: pc.deposit_tx expected_state['deposit_txid'] = lambda pc: pc.deposit_txid expected_state['payment_tx'] = None expected_state['spend_tx'] = None expected_state['spend_txid'] = None assert_paymentchannel_state(expected_state, pc) # Make a few payments pc.pay(1) pc.pay(1) pc.pay(1) # Check payment channel properties expected_state['balance'] = 96998 expected_state['expired'] = False expected_state['payment_tx'] = lambda pc: pc.payment_tx assert_paymentchannel_state(expected_state, pc) # Monkey-patch time.time() for expiration orig_time_time = time.time time.time = lambda: pc.expiration_time + paymentchannel.PaymentChannel.REFUND_BROADCAST_TIME_OFFSET + 1 # Check payment channel properties expected_state['expired'] = True assert_paymentchannel_state(expected_state, pc) # Sync to trigger a refund pc.sync() # Check payment channel properties expected_state['state'] = statemachine.PaymentChannelState.CONFIRMING_SPEND expected_state['ready'] = False expected_state['expired'] = True expected_state['spend_txid'] = lambda pc: pc.refund_txid assert_paymentchannel_state(expected_state, pc) # Confirm refund tx bc.mock_confirm(pc.refund_txid) # Sync pc.sync() # Check payment channel properties expected_state['state'] = statemachine.PaymentChannelState.CLOSED expected_state['spend_tx'] = lambda pc: pc.refund_tx # Restore time.time() time.time = orig_time_time # Server-side close open(), pay(), pay(), <close>, pay(), sync() def test_paymentchannel_serverside_close(): # Create mocked dependencies bc = mock.MockBlockchain() wallet = walletwrapper.Two1WalletWrapper(mock.MockTwo1Wallet(), bc) db = database.Sqlite3Database(":memory:") # Link the mock blockchain to the mock payment channel server as it is a # non-injected dependency. mock.MockPaymentChannelServer.blockchain = bc # Clear mock payment channel server channels. mock.MockPaymentChannelServer.channels = {} # Open a payment channel with 100000 deposit, 86400 seconds expiration, and 10000 fee pc = paymentchannel.PaymentChannel.open(db, wallet, bc, 'mock://test', 100000, 86400, 10000, False) # Confirm the deposit tx bc.mock_confirm(pc.deposit_txid) pc.sync() # Assert payment channel properties expected_state = {} expected_state['url'] = "mock://test/" + pc.deposit_txid expected_state['state'] = statemachine.PaymentChannelState.READY expected_state['ready'] = True expected_state['balance'] = 100000 expected_state['deposit'] = 100000 expected_state['fee'] = 10000 expected_state['creation_time'] = lambda pc: pc.creation_time > 0 expected_state['expiration_time'] = int(pc.creation_time + 86400) expected_state['expired'] = False expected_state['refund_tx'] = lambda pc: pc.refund_tx expected_state['refund_txid'] = lambda pc: pc.refund_txid expected_state['deposit_tx'] = lambda pc: pc.deposit_tx expected_state['deposit_txid'] = lambda pc: pc.deposit_txid expected_state['payment_tx'] = None expected_state['spend_tx'] = None expected_state['spend_txid'] = None assert_paymentchannel_state(expected_state, pc) # Make a few payments pc.pay(1) pc.pay(1) pc.pay(1) # Check payment channel properties expected_state['balance'] = 96998 expected_state['expired'] = False expected_state['payment_tx'] = lambda pc: pc.payment_tx assert_paymentchannel_state(expected_state, pc) # Close the channel server-side by broadcasting the last payment tx bc.broadcast_tx(mock.MockPaymentChannelServer.channels[pc.deposit_txid]['payment_tx'].to_hex()) # Sync pc.sync() # Check payment channel properties expected_state['state'] = statemachine.PaymentChannelState.CONFIRMING_SPEND expected_state['ready'] = False expected_state['spend_txid'] = lambda pc: pc.spend_txid assert_paymentchannel_state(expected_state, pc) # Confirm payment tx bc.mock_confirm(pc.spend_txid) # Sync pc.sync() # Check payment channel properties expected_state['state'] = statemachine.PaymentChannelState.CLOSED expected_state['spend_tx'] = lambda pc: pc.spend_tx assert_paymentchannel_state(expected_state, pc)

36.888252

114

0.72394

1,557

12,874

5.786769

0.084136

0.184684

0.035516

0.076915

0.852386

0.840511

0.829301

0.776138

0.752608

0.733629

0

0.027893

0.175703

12,874

348

115

36.994253

0.821146

0.169411

0

0.790909

0

0.092586

0

0.140909

1

0.022727

false

0

0.031818

0

0.054545

0

null

0

1

0

1

0

null

0

7

68b252c80e29ca1c2227054f33f53c702eb934d1

23,346

py

Python

dlmcol/tabuCol_numba.py

GoudetOlivier/DLMCOL_WVCP

e54d49775716d78cef25adbc85b9a40e903d7cd6

[ "MIT" ]

null

dlmcol/tabuCol_numba.py

GoudetOlivier/DLMCOL_WVCP

e54d49775716d78cef25adbc85b9a40e903d7cd6

[ "MIT" ]

null

dlmcol/tabuCol_numba.py

GoudetOlivier/DLMCOL_WVCP

e54d49775716d78cef25adbc85b9a40e903d7cd6

[ "MIT" ]

null

import numba as nb from numba import cuda from numba.cuda.random import xoroshiro128p_uniform_float32 size = -1 k = -1 E = -1 N = -1 @cuda.jit def tabuWVCP_NoRandom_AFISA( rng_states, D, max_iter, A, W, tColor, vect_fit, vect_score, vect_conflicts, alpha, phi, ): # vect_nb_vois, voisin d = cuda.grid(1) if d < D: f = 0 tColor_local = nb.cuda.local.array((size), nb.int16) gamma = nb.cuda.local.array((size, k), nb.int8) gammaDepart = nb.cuda.local.array((size), nb.int8) gammaArrive = nb.cuda.local.array((size, k), nb.int8) max_weight = nb.cuda.local.array((k), nb.int8) secondmax_weight = nb.cuda.local.array((k), nb.int8) tabuTenure = nb.cuda.local.array((size), nb.int32) tGroup_color = nb.cuda.local.array((k, N), nb.int16) for c in range(k): max_weight[c] = 0 secondmax_weight[c] = 0 for i in range(N): tGroup_color[c, i] = -1 for x in range(size): gammaDepart[x] = 0 for y in range(k): gamma[x, y] = 0 gammaArrive[x, y] = 0 tColor_local[x] = int(tColor[d, x]) idx = 0 while tGroup_color[tColor_local[x], idx] != -1: idx += 1 tGroup_color[tColor_local[x], idx] = x tabuTenure[x] = -1 nb_conflicts = 0 score_wvcp = 0 for x in range(size): for y in range(x): if A[x, y] == 1: gamma[x, tColor_local[y]] += 1 gamma[y, tColor_local[x]] += 1 if tColor_local[y] == tColor_local[x]: nb_conflicts += 1 if W[x] >= max_weight[tColor_local[x]]: score_wvcp += W[x] - max_weight[tColor_local[x]] secondmax_weight[tColor_local[x]] = max_weight[tColor_local[x]] max_weight[tColor_local[x]] = int(W[x]) elif W[x] > secondmax_weight[tColor_local[x]]: secondmax_weight[tColor_local[x]] = int(W[x]) for x in range(size): for c in range(k): if W[x] > max_weight[c]: gammaArrive[x, c] = W[x] - max_weight[c] else: gammaArrive[x, c] = 0 for x in range(size): if W[x] == max_weight[tColor_local[x]]: gammaDepart[x] = secondmax_weight[tColor_local[x]] - W[x] else: gammaDepart[x] = 0 f = score_wvcp + phi[d] * nb_conflicts f_best = f score_best = score_wvcp nb_conflicts_best = nb_conflicts for iter_ in range(max_iter): best_delta = 9999 best_delta_conflicts = -1 best_delta_score = -1 best_x = -1 best_v = -1 for x in range(size): v_x = tColor_local[x] for v in range(k): if v != v_x: delta_score = gammaArrive[x, v] + gammaDepart[x] delta_conflicts = gamma[x, v] - gamma[x, v_x] delta = delta_score + phi[d] * delta_conflicts if tabuTenure[x] <= iter_ or delta + f < f_best: if delta < best_delta: best_x = x best_v = v best_delta = delta best_delta_conflicts = delta_conflicts best_delta_score = delta_score f += best_delta score_wvcp += best_delta_score nb_conflicts += best_delta_conflicts old_color = tColor_local[best_x] for y in range(size): if A[best_x, y] == 1: gamma[y, old_color] -= 1 gamma[y, best_v] += 1 tColor_local[best_x] = best_v old_max_old_color = max_weight[old_color] old_second_max_old_color = secondmax_weight[old_color] max_weight[old_color] = 0 secondmax_weight[old_color] = 0 for idx in range(N): x = tGroup_color[old_color, idx] if x == best_x: tGroup_color[old_color, idx] = -1 elif x != -1: if W[x] >= max_weight[old_color]: secondmax_weight[old_color] = max_weight[old_color] max_weight[old_color] = int(W[x]) elif W[x] > secondmax_weight[old_color]: secondmax_weight[old_color] = int(W[x]) idx = 0 while tGroup_color[best_v, idx] != -1: idx += 1 tGroup_color[best_v, idx] = best_x old_max_best_v = max_weight[best_v] if W[best_x] >= max_weight[best_v]: secondmax_weight[best_v] = max_weight[best_v] max_weight[best_v] = int(W[best_x]) elif W[best_x] > secondmax_weight[best_v]: secondmax_weight[best_v] = int(W[best_x]) if max_weight[old_color] != old_max_old_color: for x in range(size): if W[x] >= max_weight[old_color]: gammaArrive[x, old_color] = W[x] - max_weight[old_color] else: gammaArrive[x, old_color] = 0 if max_weight[best_v] != old_max_best_v: for x in range(size): if W[x] >= max_weight[best_v]: gammaArrive[x, best_v] = W[x] - max_weight[best_v] else: gammaArrive[x, best_v] = 0 if ( old_second_max_old_color != secondmax_weight[old_color] or max_weight[old_color] != old_max_old_color ): for idx in range(N): x = tGroup_color[old_color, idx] if x != -1: if W[x] == max_weight[old_color]: gammaDepart[x] = secondmax_weight[old_color] - W[x] else: gammaDepart[x] = 0 for idx in range(N): x = tGroup_color[best_v, idx] if x != -1: if W[x] == max_weight[best_v]: gammaDepart[x] = secondmax_weight[best_v] - W[x] else: gammaDepart[x] = 0 tabuTenure[best_x] = ( int(alpha * size) + int(10 * xoroshiro128p_uniform_float32(rng_states, d)) + iter_ ) if f < f_best: f_best = f score_best = score_wvcp nb_conflicts_best = nb_conflicts for a in range(size): tColor[d, a] = tColor_local[a] vect_fit[d] = f_best vect_score[d] = score_best vect_conflicts[d] = nb_conflicts_best @cuda.jit def tabuGCP(rng_states, D, max_iter, A, tColor, vect_fit, alpha, tabuTenure): # vect_nb_vois, voisin d = cuda.grid(1) if d < D: f = 0 tColor_local = nb.cuda.local.array((size), nb.int16) gamma = nb.cuda.local.array((size, k), nb.int8) for x in range(size): for y in range(k): gamma[x, y] = 0 tabuTenure[d, x, y] = -1 tColor_local[x] = int(tColor[d, x]) f = 0 for x in range(size): for y in range(x): if A[x, y] == 1: gamma[x, tColor_local[y]] += 1 gamma[y, tColor_local[x]] += 1 if tColor_local[y] == tColor_local[x]: f += 1 f_best = f for iter_ in range(max_iter): best_delta = 9999 best_x = -1 best_v = -1 nbcfl = 0 for x in range(size): v_x = tColor_local[x] if gamma[x, v_x] > 0: nbcfl += 1 for v in range(k): if v != v_x: delta = gamma[x, v] - gamma[x, v_x] if tabuTenure[d, x, v] <= iter_ or delta + f < f_best: if delta < best_delta: best_x = x best_v = v best_delta = delta f += best_delta old_color = tColor_local[best_x] for y in range(size): if A[best_x, y] == 1: gamma[y, old_color] -= 1 gamma[y, best_v] += 1 tColor_local[best_x] = best_v tabuTenure[d, best_x, old_color] = ( int(alpha * nbcfl) + int(10 * xoroshiro128p_uniform_float32(rng_states, d)) + iter_ ) if f < f_best: f_best = f for a in range(size): tColor[d, a] = tColor_local[a] vect_fit[d] = f_best @cuda.jit def tabuWVCP_NoRandom_AFISA_bigSize( rng_states, D, max_iter, A, W, tColor, vect_fit, vect_score, vect_conflicts, alpha, phi, gamma, ): d = cuda.grid(1) if d < D: f = 0 tColor_local = nb.cuda.local.array((size), nb.int16) gammaDepart = nb.cuda.local.array((size), nb.int8) gammaArrive = nb.cuda.local.array((size, k), nb.int8) max_weight = nb.cuda.local.array((k), nb.int8) secondmax_weight = nb.cuda.local.array((k), nb.int8) tabuTenure = nb.cuda.local.array((size), nb.int32) tGroup_color = nb.cuda.local.array((k, N), nb.int16) for c in range(k): max_weight[c] = 0 secondmax_weight[c] = 0 for i in range(N): tGroup_color[c, i] = -1 for x in range(size): gammaDepart[x] = 0 for y in range(k): gamma[d, x, y] = 0 gammaArrive[x, y] = 0 tColor_local[x] = int(tColor[d, x]) idx = 0 while tGroup_color[tColor_local[x], idx] != -1: idx += 1 tGroup_color[tColor_local[x], idx] = x tabuTenure[x] = -1 nb_conflicts = 0 score_wvcp = 0 for x in range(size): for y in range(x): if A[x, y] == 1: gamma[d, x, tColor_local[y]] += 1 gamma[d, y, tColor_local[x]] += 1 if tColor_local[y] == tColor_local[x]: nb_conflicts += 1 if W[x] >= max_weight[tColor_local[x]]: score_wvcp += W[x] - max_weight[tColor_local[x]] secondmax_weight[tColor_local[x]] = max_weight[tColor_local[x]] max_weight[tColor_local[x]] = int(W[x]) elif W[x] > secondmax_weight[tColor_local[x]]: secondmax_weight[tColor_local[x]] = int(W[x]) for x in range(size): for c in range(k): if W[x] > max_weight[c]: gammaArrive[x, c] = W[x] - max_weight[c] else: gammaArrive[x, c] = 0 for x in range(size): if W[x] == max_weight[tColor_local[x]]: gammaDepart[x] = secondmax_weight[tColor_local[x]] - W[x] else: gammaDepart[x] = 0 f = score_wvcp + phi[d] * nb_conflicts f_best = f score_best = score_wvcp nb_conflicts_best = nb_conflicts for iter_ in range(max_iter): best_delta = 9999 best_delta_conflicts = -1 best_delta_score = -1 best_x = -1 best_v = -1 for x in range(size): v_x = tColor_local[x] for v in range(k): if v != v_x: delta_score = gammaArrive[x, v] + gammaDepart[x] delta_conflicts = gamma[d, x, v] - gamma[d, x, v_x] delta = delta_score + phi[d] * delta_conflicts if tabuTenure[x] <= iter_ or delta + f < f_best: if delta < best_delta: best_x = x best_v = v best_delta = delta best_delta_conflicts = delta_conflicts best_delta_score = delta_score f += best_delta score_wvcp += best_delta_score nb_conflicts += best_delta_conflicts old_color = tColor_local[best_x] for y in range(size): if A[best_x, y] == 1: gamma[d, y, old_color] -= 1 gamma[d, y, best_v] += 1 tColor_local[best_x] = best_v old_max_old_color = max_weight[old_color] old_second_max_old_color = secondmax_weight[old_color] max_weight[old_color] = 0 secondmax_weight[old_color] = 0 for idx in range(N): x = tGroup_color[old_color, idx] if x == best_x: tGroup_color[old_color, idx] = -1 elif x != -1: if W[x] >= max_weight[old_color]: secondmax_weight[old_color] = max_weight[old_color] max_weight[old_color] = int(W[x]) elif W[x] > secondmax_weight[old_color]: secondmax_weight[old_color] = int(W[x]) idx = 0 while tGroup_color[best_v, idx] != -1: idx += 1 tGroup_color[best_v, idx] = best_x old_max_best_v = max_weight[best_v] if W[best_x] >= max_weight[best_v]: secondmax_weight[best_v] = max_weight[best_v] max_weight[best_v] = int(W[best_x]) elif W[best_x] > secondmax_weight[best_v]: secondmax_weight[best_v] = int(W[best_x]) if max_weight[old_color] != old_max_old_color: for x in range(size): if W[x] >= max_weight[old_color]: gammaArrive[x, old_color] = W[x] - max_weight[old_color] else: gammaArrive[x, old_color] = 0 if max_weight[best_v] != old_max_best_v: for x in range(size): if W[x] >= max_weight[best_v]: gammaArrive[x, best_v] = W[x] - max_weight[best_v] else: gammaArrive[x, best_v] = 0 if ( old_second_max_old_color != secondmax_weight[old_color] or max_weight[old_color] != old_max_old_color ): for idx in range(N): x = tGroup_color[old_color, idx] if x != -1: if W[x] == max_weight[old_color]: gammaDepart[x] = secondmax_weight[old_color] - W[x] else: gammaDepart[x] = 0 for idx in range(N): x = tGroup_color[best_v, idx] if x != -1: if W[x] == max_weight[best_v]: gammaDepart[x] = secondmax_weight[best_v] - W[x] else: gammaDepart[x] = 0 tabuTenure[best_x] = ( int(alpha * size) + int(10 * xoroshiro128p_uniform_float32(rng_states, d)) + iter_ ) if f < f_best: f_best = f score_best = score_wvcp nb_conflicts_best = nb_conflicts for a in range(size): tColor[d, a] = tColor_local[a] vect_fit[d] = f_best vect_score[d] = score_best vect_conflicts[d] = nb_conflicts_best @cuda.jit def tabuWVCP_NoRandom_AFISA_heavyWeights( rng_states, D, max_iter, A, W, tColor, vect_fit, vect_score, vect_conflicts, alpha, phi, ): # vect_nb_vois, voisin d = cuda.grid(1) if d < D: f = 0 tColor_local = nb.cuda.local.array((size), nb.int16) gamma = nb.cuda.local.array((size, k), nb.int8) gammaDepart = nb.cuda.local.array((size), nb.int16) gammaArrive = nb.cuda.local.array((size, k), nb.int16) max_weight = nb.cuda.local.array((k), nb.int16) secondmax_weight = nb.cuda.local.array((k), nb.int16) tabuTenure = nb.cuda.local.array((size), nb.int32) tGroup_color = nb.cuda.local.array((k, N), nb.int16) for c in range(k): max_weight[c] = 0 secondmax_weight[c] = 0 for i in range(N): tGroup_color[c, i] = -1 for x in range(size): gammaDepart[x] = 0 for y in range(k): gamma[x, y] = 0 gammaArrive[x, y] = 0 tColor_local[x] = int(tColor[d, x]) idx = 0 while tGroup_color[tColor_local[x], idx] != -1: idx += 1 tGroup_color[tColor_local[x], idx] = x tabuTenure[x] = -1 nb_conflicts = 0 score_wvcp = 0 for x in range(size): # nb_vois = int(vect_nb_vois[x]) # for i in range(nb_vois): # y = int(voisin[i]) for y in range(x): if A[x, y] == 1: gamma[x, tColor_local[y]] += 1 gamma[y, tColor_local[x]] += 1 if tColor_local[y] == tColor_local[x]: nb_conflicts += 1 if W[x] >= max_weight[tColor_local[x]]: score_wvcp += W[x] - max_weight[tColor_local[x]] secondmax_weight[tColor_local[x]] = max_weight[tColor_local[x]] max_weight[tColor_local[x]] = int(W[x]) elif W[x] > secondmax_weight[tColor_local[x]]: secondmax_weight[tColor_local[x]] = int(W[x]) for x in range(size): for c in range(k): if W[x] > max_weight[c]: gammaArrive[x, c] = W[x] - max_weight[c] else: gammaArrive[x, c] = 0 for x in range(size): if W[x] == max_weight[tColor_local[x]]: gammaDepart[x] = secondmax_weight[tColor_local[x]] - W[x] else: gammaDepart[x] = 0 f = score_wvcp + phi[d] * nb_conflicts f_best = f score_best = score_wvcp nb_conflicts_best = nb_conflicts for iter_ in range(max_iter): best_delta = 99999 best_delta_conflicts = -1 best_delta_score = -1 best_x = -1 best_v = -1 for x in range(size): v_x = tColor_local[x] for v in range(k): if v != v_x: delta_score = gammaArrive[x, v] + gammaDepart[x] delta_conflicts = gamma[x, v] - gamma[x, v_x] delta = delta_score + phi[d] * delta_conflicts if tabuTenure[x] <= iter_ or delta + f < f_best: if delta < best_delta: best_x = x best_v = v best_delta = delta best_delta_conflicts = delta_conflicts best_delta_score = delta_score f += best_delta score_wvcp += best_delta_score nb_conflicts += best_delta_conflicts old_color = tColor_local[best_x] for y in range(size): if A[best_x, y] == 1: gamma[y, old_color] -= 1 gamma[y, best_v] += 1 tColor_local[best_x] = best_v old_max_old_color = max_weight[old_color] old_second_max_old_color = secondmax_weight[old_color] max_weight[old_color] = 0 secondmax_weight[old_color] = 0 for idx in range(N): x = tGroup_color[old_color, idx] if x == best_x: tGroup_color[old_color, idx] = -1 elif x != -1: if W[x] >= max_weight[old_color]: secondmax_weight[old_color] = max_weight[old_color] max_weight[old_color] = int(W[x]) elif W[x] > secondmax_weight[old_color]: secondmax_weight[old_color] = int(W[x]) idx = 0 while tGroup_color[best_v, idx] != -1: idx += 1 tGroup_color[best_v, idx] = best_x old_max_best_v = max_weight[best_v] if W[best_x] >= max_weight[best_v]: secondmax_weight[best_v] = max_weight[best_v] max_weight[best_v] = int(W[best_x]) elif W[best_x] > secondmax_weight[best_v]: secondmax_weight[best_v] = int(W[best_x]) if max_weight[old_color] != old_max_old_color: for x in range(size): if W[x] >= max_weight[old_color]: gammaArrive[x, old_color] = W[x] - max_weight[old_color] else: gammaArrive[x, old_color] = 0 if max_weight[best_v] != old_max_best_v: for x in range(size): if W[x] >= max_weight[best_v]: gammaArrive[x, best_v] = W[x] - max_weight[best_v] else: gammaArrive[x, best_v] = 0 if ( old_second_max_old_color != secondmax_weight[old_color] or max_weight[old_color] != old_max_old_color ): for idx in range(N): x = tGroup_color[old_color, idx] if x != -1: if W[x] == max_weight[old_color]: gammaDepart[x] = secondmax_weight[old_color] - W[x] else: gammaDepart[x] = 0 for idx in range(N): x = tGroup_color[best_v, idx] if x != -1: if W[x] == max_weight[best_v]: gammaDepart[x] = secondmax_weight[best_v] - W[x] else: gammaDepart[x] = 0 tabuTenure[best_x] = ( int(alpha * size) + int(10 * xoroshiro128p_uniform_float32(rng_states, d)) + iter_ ) if f < f_best: f_best = f score_best = score_wvcp nb_conflicts_best = nb_conflicts for a in range(size): tColor[d, a] = tColor_local[a] vect_fit[d] = f_best vect_score[d] = score_best vect_conflicts[d] = nb_conflicts_best

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d7a1f9389d7cbce8f0d0c2ac400bc2128065ce1d

95

py

Python

lg_volume_control/src/lg_volume_control/__init__.py

FuriousJulius/lg_ros_nodes

15a84c5022ab2f5b038d11a5589cd4a34010b1d6

[ "Apache-2.0" ]

16

2015-10-10T11:55:37.000Z

2022-02-24T22:47:48.000Z

lg_volume_control/src/lg_volume_control/__init__.py

FuriousJulius/lg_ros_nodes

15a84c5022ab2f5b038d11a5589cd4a34010b1d6

[ "Apache-2.0" ]

292

2015-09-29T21:59:53.000Z

2022-03-31T15:59:31.000Z

lg_volume_control/src/lg_volume_control/__init__.py

constantegonzalez/lg_ros_nodes

1c7b08c42e90205922602c86805285508d1b7971

[ "Apache-2.0" ]

5

2017-05-03T06:22:43.000Z

2021-08-19T16:54:14.000Z

from .volume_control import VolumeControlMaster from .volume_control import VolumeControlSlave

31.666667

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d7c2b37dfe0c7e9ed70f85e609289e44554a79b6

132

py

Python

grayscale/math/max.py

KennethanCeyer/grayscale

646a11ea47f2120f317e554c736d8054aa55c4c4

[ "MIT" ]

null

grayscale/math/max.py

KennethanCeyer/grayscale

646a11ea47f2120f317e554c736d8054aa55c4c4

[ "MIT" ]

null

grayscale/math/max.py

KennethanCeyer/grayscale

646a11ea47f2120f317e554c736d8054aa55c4c4

[ "MIT" ]

null

from builtins import min as builtin_max from typing import List def max(nums: List[float]) -> float: return builtin_max(nums)

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null

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7

cc1319bf092b1a26ecf583ff31d4d63af7d95021

82

py

Python

logviewer2/views/__init__.py

Hackerjef/logviewer2

54a50ed4fa13b4f7cdc4a2e2792190429f7675a2

[ "Unlicense" ]

null

logviewer2/views/__init__.py

Hackerjef/logviewer2

54a50ed4fa13b4f7cdc4a2e2792190429f7675a2

[ "Unlicense" ]

null

logviewer2/views/__init__.py

Hackerjef/logviewer2

54a50ed4fa13b4f7cdc4a2e2792190429f7675a2

[ "Unlicense" ]

null

from logviewer2.views.auth import Auth from logviewer2.views.fproxy import Fproxy

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7

cc2933612a9c522a71dfa4b38ddc7a74d43afc3c

92

py

Python

parameters_9000.py

Ayunken/my_web2py

6f8ddf531b72ca5c3d6472a5ed3bd279b7be9260

[ "BSD-3-Clause" ]

null

parameters_9000.py

Ayunken/my_web2py

6f8ddf531b72ca5c3d6472a5ed3bd279b7be9260

[ "BSD-3-Clause" ]

null

parameters_9000.py

Ayunken/my_web2py

6f8ddf531b72ca5c3d6472a5ed3bd279b7be9260

[ "BSD-3-Clause" ]

null

password="pbkdf2(1000,20,sha512)$8f8df07d60432764$a29dd4a08558d439af7858be8f81e7baf38b9fc0"

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1

0

1

null

0

1

0

1

0

1

0

1

null

0

1

0

8

f09bec685914ba08233d8cb3743259f6fbfb11bc

233,609

py

Python

msgraph-cli-extensions/beta/education_beta/azext_education_beta/generated/custom.py

thewahome/msgraph-cli

33127d9efa23a0e5f5303c93242fbdbb73348671

[ "MIT" ]

null

msgraph-cli-extensions/beta/education_beta/azext_education_beta/generated/custom.py

thewahome/msgraph-cli

33127d9efa23a0e5f5303c93242fbdbb73348671

[ "MIT" ]

null

msgraph-cli-extensions/beta/education_beta/azext_education_beta/generated/custom.py

thewahome/msgraph-cli

33127d9efa23a0e5f5303c93242fbdbb73348671

[ "MIT" ]

null

# -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- # pylint: disable=line-too-long # pylint: disable=too-many-lines def education_education_root_show_education_root(client, select=None, expand=None): return client.get_education_root(select=select, expand=expand) def education_education_root_update_education_root(client, id_=None, synchronization_profiles=None, classes=None, me=None, schools=None, users=None): body = {} body['id'] = id_ body['synchronization_profiles'] = synchronization_profiles body['classes'] = classes body['me'] = me body['schools'] = schools body['users'] = users return client.update_education_root(body=body) def education_education_create_class(client, id_=None, class_code=None, course=None, description=None, display_name=None, external_id=None, external_name=None, external_source=None, external_source_detail=None, grade=None, mail_nickname=None, term=None, assignment_categories=None, assignments=None, group=None, members=None, schools=None, teachers=None, application=None, device=None, user=None): body = {} body['id'] = id_ body['class_code'] = class_code body['course'] = course body['description'] = description body['display_name'] = display_name body['external_id'] = external_id body['external_name'] = external_name body['external_source'] = external_source body['external_source_detail'] = external_source_detail body['grade'] = grade body['mail_nickname'] = mail_nickname body['term'] = term body['assignment_categories'] = assignment_categories body['assignments'] = assignments body['group'] = group body['members'] = members body['schools'] = schools body['teachers'] = teachers body['created_by'] = {} body['created_by']['application'] = application body['created_by']['device'] = device body['created_by']['user'] = user return client.create_classes(body=body) def education_education_create_school(client, id_=None, description=None, display_name=None, external_source=None, external_source_detail=None, address=None, external_id=None, external_principal_id=None, fax=None, highest_grade=None, lowest_grade=None, phone=None, principal_email=None, principal_name=None, school_number=None, classes=None, users=None, microsoft_graph_entity_id=None, deleted_date_time=None, microsoft_graph_administrative_unit_description=None, microsoft_graph_administrative_unit_display_name=None, visibility=None, members=None, scoped_role_members=None, extensions=None, application=None, device=None, user=None): body = {} body['id'] = id_ body['description'] = description body['display_name'] = display_name body['external_source'] = external_source body['external_source_detail'] = external_source_detail body['address'] = address body['external_id'] = external_id body['external_principal_id'] = external_principal_id body['fax'] = fax body['highest_grade'] = highest_grade body['lowest_grade'] = lowest_grade body['phone'] = phone body['principal_email'] = principal_email body['principal_name'] = principal_name body['school_number'] = school_number body['classes'] = classes body['users'] = users body['administrative_unit'] = {} body['administrative_unit']['id'] = microsoft_graph_entity_id body['administrative_unit']['deleted_date_time'] = deleted_date_time body['administrative_unit']['description'] = microsoft_graph_administrative_unit_description body['administrative_unit']['display_name'] = microsoft_graph_administrative_unit_display_name body['administrative_unit']['visibility'] = visibility body['administrative_unit']['members'] = members body['administrative_unit']['scoped_role_members'] = scoped_role_members body['administrative_unit']['extensions'] = extensions body['created_by'] = {} body['created_by']['application'] = application body['created_by']['device'] = device body['created_by']['user'] = user return client.create_schools(body=body) def education_education_create_synchronization_profile(client, id_=None, data_provider=None, display_name=None, expiration_date=None, handle_special_character_constraint=None, identity_synchronization_configuration=None, licenses_to_assign=None, state=None, errors=None, profile_status=None): body = {} body['id'] = id_ body['data_provider'] = data_provider body['display_name'] = display_name body['expiration_date'] = expiration_date body['handle_special_character_constraint'] = handle_special_character_constraint body['identity_synchronization_configuration'] = identity_synchronization_configuration body['licenses_to_assign'] = licenses_to_assign body['state'] = state body['errors'] = errors body['profile_status'] = profile_status return client.create_synchronization_profiles(body=body) def education_education_create_user(client, id_=None, related_contacts=None, account_enabled=None, assigned_licenses=None, assigned_plans=None, business_phones=None, department=None, display_name=None, external_source=None, external_source_detail=None, given_name=None, mail=None, mailing_address=None, mail_nickname=None, middle_name=None, mobile_phone=None, office_location=None, password_policies=None, password_profile=None, preferred_language=None, primary_role=None, provisioned_plans=None, refresh_tokens_valid_from_date_time=None, residence_address=None, show_in_address_list=None, student=None, surname=None, teacher=None, usage_location=None, user_principal_name=None, user_type=None, assignments=None, rubrics=None, classes=None, schools=None, taught_classes=None, user=None, immutable_id=None, application=None, device=None, microsoft_graph_identity_user=None): body = {} body['id'] = id_ body['related_contacts'] = related_contacts body['account_enabled'] = account_enabled body['assigned_licenses'] = assigned_licenses body['assigned_plans'] = assigned_plans body['business_phones'] = business_phones body['department'] = department body['display_name'] = display_name body['external_source'] = external_source body['external_source_detail'] = external_source_detail body['given_name'] = given_name body['mail'] = mail body['mailing_address'] = mailing_address body['mail_nickname'] = mail_nickname body['middle_name'] = middle_name body['mobile_phone'] = mobile_phone body['office_location'] = office_location body['password_policies'] = password_policies body['password_profile'] = password_profile body['preferred_language'] = preferred_language body['primary_role'] = primary_role body['provisioned_plans'] = provisioned_plans body['refresh_tokens_valid_from_date_time'] = refresh_tokens_valid_from_date_time body['residence_address'] = residence_address body['show_in_address_list'] = show_in_address_list body['student'] = student body['surname'] = surname body['teacher'] = teacher body['usage_location'] = usage_location body['user_principal_name'] = user_principal_name body['user_type'] = user_type body['assignments'] = assignments body['rubrics'] = rubrics body['classes'] = classes body['schools'] = schools body['taught_classes'] = taught_classes body['user'] = user body['on_premises_info'] = {} body['on_premises_info']['immutable_id'] = immutable_id body['created_by'] = {} body['created_by']['application'] = application body['created_by']['device'] = device body['created_by']['user'] = microsoft_graph_identity_user return client.create_users(body=body) def education_education_delete_class(client, education_class_id, if_match=None): return client.delete_classes(education_class_id=education_class_id, if_match=if_match) def education_education_delete_me(client, if_match=None): return client.delete_me(if_match=if_match) def education_education_delete_school(client, education_school_id, if_match=None): return client.delete_schools(education_school_id=education_school_id, if_match=if_match) def education_education_delete_synchronization_profile(client, education_synchronization_profile_id, if_match=None): return client.delete_synchronization_profiles(education_synchronization_profile_id=education_synchronization_profile_id, if_match=if_match) def education_education_delete_user(client, education_user_id, if_match=None): return client.delete_users(education_user_id=education_user_id, if_match=if_match) def education_education_list_class(client, orderby=None, select=None, expand=None): return client.list_classes(orderby=orderby, select=select, expand=expand) def education_education_list_school(client, orderby=None, select=None, expand=None): return client.list_schools(orderby=orderby, select=select, expand=expand) def education_education_list_synchronization_profile(client, orderby=None, select=None, expand=None): return client.list_synchronization_profiles(orderby=orderby, select=select, expand=expand) def education_education_list_user(client, orderby=None, select=None, expand=None): return client.list_users(orderby=orderby, select=select, expand=expand) def education_education_show_class(client, education_class_id, select=None, expand=None): return client.get_classes(education_class_id=education_class_id, select=select, expand=expand) def education_education_show_me(client, select=None, expand=None): return client.get_me(select=select, expand=expand) def education_education_show_school(client, education_school_id, select=None, expand=None): return client.get_schools(education_school_id=education_school_id, select=select, expand=expand) def education_education_show_synchronization_profile(client, education_synchronization_profile_id, select=None, expand=None): return client.get_synchronization_profiles(education_synchronization_profile_id=education_synchronization_profile_id, select=select, expand=expand) def education_education_show_user(client, education_user_id, select=None, expand=None): return client.get_users(education_user_id=education_user_id, select=select, expand=expand) def education_education_update_class(client, education_class_id, id_=None, class_code=None, course=None, description=None, display_name=None, external_id=None, external_name=None, external_source=None, external_source_detail=None, grade=None, mail_nickname=None, term=None, assignment_categories=None, assignments=None, group=None, members=None, schools=None, teachers=None, application=None, device=None, user=None): body = {} body['id'] = id_ body['class_code'] = class_code body['course'] = course body['description'] = description body['display_name'] = display_name body['external_id'] = external_id body['external_name'] = external_name body['external_source'] = external_source body['external_source_detail'] = external_source_detail body['grade'] = grade body['mail_nickname'] = mail_nickname body['term'] = term body['assignment_categories'] = assignment_categories body['assignments'] = assignments body['group'] = group body['members'] = members body['schools'] = schools body['teachers'] = teachers body['created_by'] = {} body['created_by']['application'] = application body['created_by']['device'] = device body['created_by']['user'] = user return client.update_classes(education_class_id=education_class_id, body=body) def education_education_update_me(client, id_=None, related_contacts=None, account_enabled=None, assigned_licenses=None, assigned_plans=None, business_phones=None, department=None, display_name=None, external_source=None, external_source_detail=None, given_name=None, mail=None, mailing_address=None, mail_nickname=None, middle_name=None, mobile_phone=None, office_location=None, password_policies=None, password_profile=None, preferred_language=None, primary_role=None, provisioned_plans=None, refresh_tokens_valid_from_date_time=None, residence_address=None, show_in_address_list=None, student=None, surname=None, teacher=None, usage_location=None, user_principal_name=None, user_type=None, assignments=None, rubrics=None, classes=None, schools=None, taught_classes=None, user=None, immutable_id=None, application=None, device=None, microsoft_graph_identity_user=None): body = {} body['id'] = id_ body['related_contacts'] = related_contacts body['account_enabled'] = account_enabled body['assigned_licenses'] = assigned_licenses body['assigned_plans'] = assigned_plans body['business_phones'] = business_phones body['department'] = department body['display_name'] = display_name body['external_source'] = external_source body['external_source_detail'] = external_source_detail body['given_name'] = given_name body['mail'] = mail body['mailing_address'] = mailing_address body['mail_nickname'] = mail_nickname body['middle_name'] = middle_name body['mobile_phone'] = mobile_phone body['office_location'] = office_location body['password_policies'] = password_policies body['password_profile'] = password_profile body['preferred_language'] = preferred_language body['primary_role'] = primary_role body['provisioned_plans'] = provisioned_plans body['refresh_tokens_valid_from_date_time'] = refresh_tokens_valid_from_date_time body['residence_address'] = residence_address body['show_in_address_list'] = show_in_address_list body['student'] = student body['surname'] = surname body['teacher'] = teacher body['usage_location'] = usage_location body['user_principal_name'] = user_principal_name body['user_type'] = user_type body['assignments'] = assignments body['rubrics'] = rubrics body['classes'] = classes body['schools'] = schools body['taught_classes'] = taught_classes body['user'] = user body['on_premises_info'] = {} body['on_premises_info']['immutable_id'] = immutable_id body['created_by'] = {} body['created_by']['application'] = application body['created_by']['device'] = device body['created_by']['user'] = microsoft_graph_identity_user return client.update_me(body=body) def education_education_update_school(client, education_school_id, id_=None, description=None, display_name=None, external_source=None, external_source_detail=None, address=None, external_id=None, external_principal_id=None, fax=None, highest_grade=None, lowest_grade=None, phone=None, principal_email=None, principal_name=None, school_number=None, classes=None, users=None, microsoft_graph_entity_id=None, deleted_date_time=None, microsoft_graph_administrative_unit_description=None, microsoft_graph_administrative_unit_display_name=None, visibility=None, members=None, scoped_role_members=None, extensions=None, application=None, device=None, user=None): body = {} body['id'] = id_ body['description'] = description body['display_name'] = display_name body['external_source'] = external_source body['external_source_detail'] = external_source_detail body['address'] = address body['external_id'] = external_id body['external_principal_id'] = external_principal_id body['fax'] = fax body['highest_grade'] = highest_grade body['lowest_grade'] = lowest_grade body['phone'] = phone body['principal_email'] = principal_email body['principal_name'] = principal_name body['school_number'] = school_number body['classes'] = classes body['users'] = users body['administrative_unit'] = {} body['administrative_unit']['id'] = microsoft_graph_entity_id body['administrative_unit']['deleted_date_time'] = deleted_date_time body['administrative_unit']['description'] = microsoft_graph_administrative_unit_description body['administrative_unit']['display_name'] = microsoft_graph_administrative_unit_display_name body['administrative_unit']['visibility'] = visibility body['administrative_unit']['members'] = members body['administrative_unit']['scoped_role_members'] = scoped_role_members body['administrative_unit']['extensions'] = extensions body['created_by'] = {} body['created_by']['application'] = application body['created_by']['device'] = device body['created_by']['user'] = user return client.update_schools(education_school_id=education_school_id, body=body) def education_education_update_synchronization_profile(client, education_synchronization_profile_id, id_=None, data_provider=None, display_name=None, expiration_date=None, handle_special_character_constraint=None, identity_synchronization_configuration=None, licenses_to_assign=None, state=None, errors=None, profile_status=None): body = {} body['id'] = id_ body['data_provider'] = data_provider body['display_name'] = display_name body['expiration_date'] = expiration_date body['handle_special_character_constraint'] = handle_special_character_constraint body['identity_synchronization_configuration'] = identity_synchronization_configuration body['licenses_to_assign'] = licenses_to_assign body['state'] = state body['errors'] = errors body['profile_status'] = profile_status return client.update_synchronization_profiles(education_synchronization_profile_id=education_synchronization_profile_id, body=body) def education_education_update_user(client, education_user_id, id_=None, related_contacts=None, account_enabled=None, assigned_licenses=None, assigned_plans=None, business_phones=None, department=None, display_name=None, external_source=None, external_source_detail=None, given_name=None, mail=None, mailing_address=None, mail_nickname=None, middle_name=None, mobile_phone=None, office_location=None, password_policies=None, password_profile=None, preferred_language=None, primary_role=None, provisioned_plans=None, refresh_tokens_valid_from_date_time=None, residence_address=None, show_in_address_list=None, student=None, surname=None, teacher=None, usage_location=None, user_principal_name=None, user_type=None, assignments=None, rubrics=None, classes=None, schools=None, taught_classes=None, user=None, immutable_id=None, application=None, device=None, microsoft_graph_identity_user=None): body = {} body['id'] = id_ body['related_contacts'] = related_contacts body['account_enabled'] = account_enabled body['assigned_licenses'] = assigned_licenses body['assigned_plans'] = assigned_plans body['business_phones'] = business_phones body['department'] = department body['display_name'] = display_name body['external_source'] = external_source body['external_source_detail'] = external_source_detail body['given_name'] = given_name body['mail'] = mail body['mailing_address'] = mailing_address body['mail_nickname'] = mail_nickname body['middle_name'] = middle_name body['mobile_phone'] = mobile_phone body['office_location'] = office_location body['password_policies'] = password_policies body['password_profile'] = password_profile body['preferred_language'] = preferred_language body['primary_role'] = primary_role body['provisioned_plans'] = provisioned_plans body['refresh_tokens_valid_from_date_time'] = refresh_tokens_valid_from_date_time body['residence_address'] = residence_address body['show_in_address_list'] = show_in_address_list body['student'] = student body['surname'] = surname body['teacher'] = teacher body['usage_location'] = usage_location body['user_principal_name'] = user_principal_name body['user_type'] = user_type body['assignments'] = assignments body['rubrics'] = rubrics body['classes'] = classes body['schools'] = schools body['taught_classes'] = taught_classes body['user'] = user body['on_premises_info'] = {} body['on_premises_info']['immutable_id'] = immutable_id body['created_by'] = {} body['created_by']['application'] = application body['created_by']['device'] = device body['created_by']['user'] = microsoft_graph_identity_user return client.update_users(education_user_id=education_user_id, body=body) def education_education_class_create_assignment(client, education_class_id, id_=None, allow_late_submissions=None, allow_students_to_add_resources_to_submission=None, assign_date_time=None, assigned_date_time=None, assign_to=None, class_id=None, close_date_time=None, created_date_time=None, display_name=None, due_date_time=None, grading=None, instructions=None, last_modified_date_time=None, status=None, categories=None, resources=None, submissions=None, microsoft_graph_entity_id=None, microsoft_graph_education_rubric_created_date_time_created_date_time=None, description=None, microsoft_graph_education_rubric_display_name=None, microsoft_graph_education_assignment_grade_type_grading=None, microsoft_graph_education_rubric_last_modified_date_time_last_modified_date_time=None, levels=None, qualities=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, application1=None, device1=None, user1=None, application2=None, device2=None, user2=None): body = {} body['id'] = id_ body['allow_late_submissions'] = allow_late_submissions body['allow_students_to_add_resources_to_submission'] = allow_students_to_add_resources_to_submission body['assign_date_time'] = assign_date_time body['assigned_date_time'] = assigned_date_time body['assign_to'] = assign_to body['class_id'] = class_id body['close_date_time'] = close_date_time body['created_date_time'] = created_date_time body['display_name'] = display_name body['due_date_time'] = due_date_time body['grading'] = grading body['instructions'] = instructions body['last_modified_date_time'] = last_modified_date_time body['status'] = status body['categories'] = categories body['resources'] = resources body['submissions'] = submissions body['rubric'] = {} body['rubric']['id'] = microsoft_graph_entity_id body['rubric']['created_date_time'] = microsoft_graph_education_rubric_created_date_time_created_date_time body['rubric']['description'] = description body['rubric']['display_name'] = microsoft_graph_education_rubric_display_name body['rubric']['grading'] = microsoft_graph_education_assignment_grade_type_grading body['rubric']['last_modified_date_time'] = microsoft_graph_education_rubric_last_modified_date_time_last_modified_date_time body['rubric']['levels'] = levels body['rubric']['qualities'] = qualities body['rubric']['last_modified_by'] = {} body['rubric']['last_modified_by']['application'] = application body['rubric']['last_modified_by']['device'] = device body['rubric']['last_modified_by']['user'] = user body['rubric']['created_by'] = {} body['rubric']['created_by']['application'] = microsoft_graph_identity_application body['rubric']['created_by']['device'] = microsoft_graph_identity_device body['rubric']['created_by']['user'] = microsoft_graph_identity_user body['last_modified_by'] = {} body['last_modified_by']['application'] = application1 body['last_modified_by']['device'] = device1 body['last_modified_by']['user'] = user1 body['created_by'] = {} body['created_by']['application'] = application2 body['created_by']['device'] = device2 body['created_by']['user'] = user2 return client.create_assignments(education_class_id=education_class_id, body=body) def education_education_class_create_assignment_category(client, education_class_id, id_=None, display_name=None): body = {} body['id'] = id_ body['display_name'] = display_name return client.create_assignment_categories(education_class_id=education_class_id, body=body) def education_education_class_create_ref_member(client, education_class_id, body): return client.create_ref_members(education_class_id=education_class_id, body=body) def education_education_class_create_ref_school(client, education_class_id, body): return client.create_ref_schools(education_class_id=education_class_id, body=body) def education_education_class_create_ref_teacher(client, education_class_id, body): return client.create_ref_teachers(education_class_id=education_class_id, body=body) def education_education_class_delete_assignment(client, education_class_id, education_assignment_id, if_match=None): return client.delete_assignments(education_class_id=education_class_id, education_assignment_id=education_assignment_id, if_match=if_match) def education_education_class_delete_assignment_category(client, education_class_id, education_category_id, if_match=None): return client.delete_assignment_categories(education_class_id=education_class_id, education_category_id=education_category_id, if_match=if_match) def education_education_class_delete_ref_group(client, education_class_id, if_match=None): return client.delete_ref_group(education_class_id=education_class_id, if_match=if_match) def education_education_class_delta(client): return client.delta() def education_education_class_list_assignment(client, education_class_id, orderby=None, select=None, expand=None): return client.list_assignments(education_class_id=education_class_id, orderby=orderby, select=select, expand=expand) def education_education_class_list_assignment_category(client, education_class_id, orderby=None, select=None, expand=None): return client.list_assignment_categories(education_class_id=education_class_id, orderby=orderby, select=select, expand=expand) def education_education_class_list_member(client, education_class_id, orderby=None, select=None, expand=None): return client.list_members(education_class_id=education_class_id, orderby=orderby, select=select, expand=expand) def education_education_class_list_ref_member(client, education_class_id, orderby=None): return client.list_ref_members(education_class_id=education_class_id, orderby=orderby) def education_education_class_list_ref_school(client, education_class_id, orderby=None): return client.list_ref_schools(education_class_id=education_class_id, orderby=orderby) def education_education_class_list_ref_teacher(client, education_class_id, orderby=None): return client.list_ref_teachers(education_class_id=education_class_id, orderby=orderby) def education_education_class_list_school(client, education_class_id, orderby=None, select=None, expand=None): return client.list_schools(education_class_id=education_class_id, orderby=orderby, select=select, expand=expand) def education_education_class_list_teacher(client, education_class_id, orderby=None, select=None, expand=None): return client.list_teachers(education_class_id=education_class_id, orderby=orderby, select=select, expand=expand) def education_education_class_set_ref_group(client, education_class_id, body): return client.set_ref_group(education_class_id=education_class_id, body=body) def education_education_class_show_assignment(client, education_class_id, education_assignment_id, select=None, expand=None): return client.get_assignments(education_class_id=education_class_id, education_assignment_id=education_assignment_id, select=select, expand=expand) def education_education_class_show_assignment_category(client, education_class_id, education_category_id, select=None, expand=None): return client.get_assignment_categories(education_class_id=education_class_id, education_category_id=education_category_id, select=select, expand=expand) def education_education_class_show_group(client, education_class_id, select=None, expand=None): return client.get_group(education_class_id=education_class_id, select=select, expand=expand) def education_education_class_show_ref_group(client, education_class_id): return client.get_ref_group(education_class_id=education_class_id) def education_education_class_update_assignment(client, education_class_id, education_assignment_id, id_=None, allow_late_submissions=None, allow_students_to_add_resources_to_submission=None, assign_date_time=None, assigned_date_time=None, assign_to=None, class_id=None, close_date_time=None, created_date_time=None, display_name=None, due_date_time=None, grading=None, instructions=None, last_modified_date_time=None, status=None, categories=None, resources=None, submissions=None, microsoft_graph_entity_id=None, microsoft_graph_education_rubric_created_date_time_created_date_time=None, description=None, microsoft_graph_education_rubric_display_name=None, microsoft_graph_education_assignment_grade_type_grading=None, microsoft_graph_education_rubric_last_modified_date_time_last_modified_date_time=None, levels=None, qualities=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, application1=None, device1=None, user1=None, application2=None, device2=None, user2=None): body = {} body['id'] = id_ body['allow_late_submissions'] = allow_late_submissions body['allow_students_to_add_resources_to_submission'] = allow_students_to_add_resources_to_submission body['assign_date_time'] = assign_date_time body['assigned_date_time'] = assigned_date_time body['assign_to'] = assign_to body['class_id'] = class_id body['close_date_time'] = close_date_time body['created_date_time'] = created_date_time body['display_name'] = display_name body['due_date_time'] = due_date_time body['grading'] = grading body['instructions'] = instructions body['last_modified_date_time'] = last_modified_date_time body['status'] = status body['categories'] = categories body['resources'] = resources body['submissions'] = submissions body['rubric'] = {} body['rubric']['id'] = microsoft_graph_entity_id body['rubric']['created_date_time'] = microsoft_graph_education_rubric_created_date_time_created_date_time body['rubric']['description'] = description body['rubric']['display_name'] = microsoft_graph_education_rubric_display_name body['rubric']['grading'] = microsoft_graph_education_assignment_grade_type_grading body['rubric']['last_modified_date_time'] = microsoft_graph_education_rubric_last_modified_date_time_last_modified_date_time body['rubric']['levels'] = levels body['rubric']['qualities'] = qualities body['rubric']['last_modified_by'] = {} body['rubric']['last_modified_by']['application'] = application body['rubric']['last_modified_by']['device'] = device body['rubric']['last_modified_by']['user'] = user body['rubric']['created_by'] = {} body['rubric']['created_by']['application'] = microsoft_graph_identity_application body['rubric']['created_by']['device'] = microsoft_graph_identity_device body['rubric']['created_by']['user'] = microsoft_graph_identity_user body['last_modified_by'] = {} body['last_modified_by']['application'] = application1 body['last_modified_by']['device'] = device1 body['last_modified_by']['user'] = user1 body['created_by'] = {} body['created_by']['application'] = application2 body['created_by']['device'] = device2 body['created_by']['user'] = user2 return client.update_assignments(education_class_id=education_class_id, education_assignment_id=education_assignment_id, body=body) def education_education_class_update_assignment_category(client, education_class_id, education_category_id, id_=None, display_name=None): body = {} body['id'] = id_ body['display_name'] = display_name return client.update_assignment_categories(education_class_id=education_class_id, education_category_id=education_category_id, body=body) def education_education_class_assignment_create_category(client, education_class_id, education_assignment_id, id_=None, display_name=None): body = {} body['id'] = id_ body['display_name'] = display_name return client.create_categories(education_class_id=education_class_id, education_assignment_id=education_assignment_id, body=body) def education_education_class_assignment_create_resource(client, education_class_id, education_assignment_id, id_=None, distribute_for_student_work=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['distribute_for_student_work'] = distribute_for_student_work body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.create_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, body=body) def education_education_class_assignment_create_submission(client, education_class_id, education_assignment_id, id_=None, recipient=None, released_date_time=None, resources_folder_url=None, returned_date_time=None, status=None, submitted_date_time=None, unsubmitted_date_time=None, outcomes=None, resources=None, submitted_resources=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, application1=None, device1=None, user1=None, application2=None, device2=None, user2=None): body = {} body['id'] = id_ body['recipient'] = recipient body['released_date_time'] = released_date_time body['resources_folder_url'] = resources_folder_url body['returned_date_time'] = returned_date_time body['status'] = status body['submitted_date_time'] = submitted_date_time body['unsubmitted_date_time'] = unsubmitted_date_time body['outcomes'] = outcomes body['resources'] = resources body['submitted_resources'] = submitted_resources body['unsubmitted_by'] = {} body['unsubmitted_by']['application'] = application body['unsubmitted_by']['device'] = device body['unsubmitted_by']['user'] = user body['submitted_by'] = {} body['submitted_by']['application'] = microsoft_graph_identity_application body['submitted_by']['device'] = microsoft_graph_identity_device body['submitted_by']['user'] = microsoft_graph_identity_user body['returned_by'] = {} body['returned_by']['application'] = application1 body['returned_by']['device'] = device1 body['returned_by']['user'] = user1 body['released_by'] = {} body['released_by']['application'] = application2 body['released_by']['device'] = device2 body['released_by']['user'] = user2 return client.create_submissions(education_class_id=education_class_id, education_assignment_id=education_assignment_id, body=body) def education_education_class_assignment_delete_category(client, education_class_id, education_assignment_id, education_category_id, if_match=None): return client.delete_categories(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_category_id=education_category_id, if_match=if_match) def education_education_class_assignment_delete_resource(client, education_class_id, education_assignment_id, education_assignment_resource_id, if_match=None): return client.delete_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_assignment_resource_id=education_assignment_resource_id, if_match=if_match) def education_education_class_assignment_delete_rubric(client, education_class_id, education_assignment_id, if_match=None): return client.delete_rubric(education_class_id=education_class_id, education_assignment_id=education_assignment_id, if_match=if_match) def education_education_class_assignment_delete_submission(client, education_class_id, education_assignment_id, education_submission_id, if_match=None): return client.delete_submissions(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, if_match=if_match) def education_education_class_assignment_list_category(client, education_class_id, education_assignment_id, orderby=None, select=None, expand=None): return client.list_categories(education_class_id=education_class_id, education_assignment_id=education_assignment_id, orderby=orderby, select=select, expand=expand) def education_education_class_assignment_list_resource(client, education_class_id, education_assignment_id, orderby=None, select=None, expand=None): return client.list_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, orderby=orderby, select=select, expand=expand) def education_education_class_assignment_list_submission(client, education_class_id, education_assignment_id, orderby=None, select=None, expand=None): return client.list_submissions(education_class_id=education_class_id, education_assignment_id=education_assignment_id, orderby=orderby, select=select, expand=expand) def education_education_class_assignment_publish(client, education_class_id, education_assignment_id): return client.publish(education_class_id=education_class_id, education_assignment_id=education_assignment_id) def education_education_class_assignment_show_category(client, education_class_id, education_assignment_id, education_category_id, select=None, expand=None): return client.get_categories(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_category_id=education_category_id, select=select, expand=expand) def education_education_class_assignment_show_resource(client, education_class_id, education_assignment_id, education_assignment_resource_id, select=None, expand=None): return client.get_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_assignment_resource_id=education_assignment_resource_id, select=select, expand=expand) def education_education_class_assignment_show_resource_folder_url(client, education_class_id, education_assignment_id): return client.get_resources_folder_url(education_class_id=education_class_id, education_assignment_id=education_assignment_id) def education_education_class_assignment_show_rubric(client, education_class_id, education_assignment_id, select=None, expand=None): return client.get_rubric(education_class_id=education_class_id, education_assignment_id=education_assignment_id, select=select, expand=expand) def education_education_class_assignment_show_submission(client, education_class_id, education_assignment_id, education_submission_id, select=None, expand=None): return client.get_submissions(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, select=select, expand=expand) def education_education_class_assignment_update_category(client, education_class_id, education_assignment_id, education_category_id, id_=None, display_name=None): body = {} body['id'] = id_ body['display_name'] = display_name return client.update_categories(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_category_id=education_category_id, body=body) def education_education_class_assignment_update_resource(client, education_class_id, education_assignment_id, education_assignment_resource_id, id_=None, distribute_for_student_work=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['distribute_for_student_work'] = distribute_for_student_work body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.update_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_assignment_resource_id=education_assignment_resource_id, body=body) def education_education_class_assignment_update_rubric(client, education_class_id, education_assignment_id, id_=None, created_date_time=None, description=None, display_name=None, grading=None, last_modified_date_time=None, levels=None, qualities=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None): body = {} body['id'] = id_ body['created_date_time'] = created_date_time body['description'] = description body['display_name'] = display_name body['grading'] = grading body['last_modified_date_time'] = last_modified_date_time body['levels'] = levels body['qualities'] = qualities body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user return client.update_rubric(education_class_id=education_class_id, education_assignment_id=education_assignment_id, body=body) def education_education_class_assignment_update_submission(client, education_class_id, education_assignment_id, education_submission_id, id_=None, recipient=None, released_date_time=None, resources_folder_url=None, returned_date_time=None, status=None, submitted_date_time=None, unsubmitted_date_time=None, outcomes=None, resources=None, submitted_resources=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, application1=None, device1=None, user1=None, application2=None, device2=None, user2=None): body = {} body['id'] = id_ body['recipient'] = recipient body['released_date_time'] = released_date_time body['resources_folder_url'] = resources_folder_url body['returned_date_time'] = returned_date_time body['status'] = status body['submitted_date_time'] = submitted_date_time body['unsubmitted_date_time'] = unsubmitted_date_time body['outcomes'] = outcomes body['resources'] = resources body['submitted_resources'] = submitted_resources body['unsubmitted_by'] = {} body['unsubmitted_by']['application'] = application body['unsubmitted_by']['device'] = device body['unsubmitted_by']['user'] = user body['submitted_by'] = {} body['submitted_by']['application'] = microsoft_graph_identity_application body['submitted_by']['device'] = microsoft_graph_identity_device body['submitted_by']['user'] = microsoft_graph_identity_user body['returned_by'] = {} body['returned_by']['application'] = application1 body['returned_by']['device'] = device1 body['returned_by']['user'] = user1 body['released_by'] = {} body['released_by']['application'] = application2 body['released_by']['device'] = device2 body['released_by']['user'] = user2 return client.update_submissions(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, body=body) def education_education_class_assignment_submission_create_outcome(client, education_class_id, education_assignment_id, education_submission_id, id_=None, last_modified_date_time=None, application=None, device=None, user=None): body = {} body['id'] = id_ body['last_modified_date_time'] = last_modified_date_time body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user return client.create_outcomes(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, body=body) def education_education_class_assignment_submission_create_resource(client, education_class_id, education_assignment_id, education_submission_id, id_=None, assignment_resource_url=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['assignment_resource_url'] = assignment_resource_url body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.create_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, body=body) def education_education_class_assignment_submission_create_submitted_resource(client, education_class_id, education_assignment_id, education_submission_id, id_=None, assignment_resource_url=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['assignment_resource_url'] = assignment_resource_url body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.create_submitted_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, body=body) def education_education_class_assignment_submission_delete_outcome(client, education_class_id, education_assignment_id, education_submission_id, education_outcome_id, if_match=None): return client.delete_outcomes(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_outcome_id=education_outcome_id, if_match=if_match) def education_education_class_assignment_submission_delete_resource(client, education_class_id, education_assignment_id, education_submission_id, education_submission_resource_id, if_match=None): return client.delete_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, if_match=if_match) def education_education_class_assignment_submission_delete_submitted_resource(client, education_class_id, education_assignment_id, education_submission_id, education_submission_resource_id, if_match=None): return client.delete_submitted_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, if_match=if_match) def education_education_class_assignment_submission_list_outcome(client, education_class_id, education_assignment_id, education_submission_id, orderby=None, select=None, expand=None): return client.list_outcomes(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, orderby=orderby, select=select, expand=expand) def education_education_class_assignment_submission_list_resource(client, education_class_id, education_assignment_id, education_submission_id, orderby=None, select=None, expand=None): return client.list_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, orderby=orderby, select=select, expand=expand) def education_education_class_assignment_submission_list_submitted_resource(client, education_class_id, education_assignment_id, education_submission_id, orderby=None, select=None, expand=None): return client.list_submitted_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, orderby=orderby, select=select, expand=expand) def education_education_class_assignment_submission_return(client, education_class_id, education_assignment_id, education_submission_id): return client.return_method(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id) def education_education_class_assignment_submission_show_outcome(client, education_class_id, education_assignment_id, education_submission_id, education_outcome_id, select=None, expand=None): return client.get_outcomes(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_outcome_id=education_outcome_id, select=select, expand=expand) def education_education_class_assignment_submission_show_resource(client, education_class_id, education_assignment_id, education_submission_id, education_submission_resource_id, select=None, expand=None): return client.get_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, select=select, expand=expand) def education_education_class_assignment_submission_show_submitted_resource(client, education_class_id, education_assignment_id, education_submission_id, education_submission_resource_id, select=None, expand=None): return client.get_submitted_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, select=select, expand=expand) def education_education_class_assignment_submission_submit(client, education_class_id, education_assignment_id, education_submission_id): return client.submit(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id) def education_education_class_assignment_submission_unsubmit(client, education_class_id, education_assignment_id, education_submission_id): return client.unsubmit(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id) def education_education_class_assignment_submission_update_outcome(client, education_class_id, education_assignment_id, education_submission_id, education_outcome_id, id_=None, last_modified_date_time=None, application=None, device=None, user=None): body = {} body['id'] = id_ body['last_modified_date_time'] = last_modified_date_time body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user return client.update_outcomes(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_outcome_id=education_outcome_id, body=body) def education_education_class_assignment_submission_update_resource(client, education_class_id, education_assignment_id, education_submission_id, education_submission_resource_id, id_=None, assignment_resource_url=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['assignment_resource_url'] = assignment_resource_url body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.update_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, body=body) def education_education_class_assignment_submission_update_submitted_resource(client, education_class_id, education_assignment_id, education_submission_id, education_submission_resource_id, id_=None, assignment_resource_url=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['assignment_resource_url'] = assignment_resource_url body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.update_submitted_resources(education_class_id=education_class_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, body=body) def education_education_class_member_delta(client, education_class_id): return client.delta(education_class_id=education_class_id) def education_education_class_school_delta(client, education_class_id): return client.delta(education_class_id=education_class_id) def education_education_class_teacher_delta(client, education_class_id): return client.delta(education_class_id=education_class_id) def education_education_me_create_assignment(client, id_=None, allow_late_submissions=None, allow_students_to_add_resources_to_submission=None, assign_date_time=None, assigned_date_time=None, assign_to=None, class_id=None, close_date_time=None, created_date_time=None, display_name=None, due_date_time=None, grading=None, instructions=None, last_modified_date_time=None, status=None, categories=None, resources=None, submissions=None, microsoft_graph_entity_id=None, microsoft_graph_education_rubric_created_date_time_created_date_time=None, description=None, microsoft_graph_education_rubric_display_name=None, microsoft_graph_education_assignment_grade_type_grading=None, microsoft_graph_education_rubric_last_modified_date_time_last_modified_date_time=None, levels=None, qualities=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, application1=None, device1=None, user1=None, application2=None, device2=None, user2=None): body = {} body['id'] = id_ body['allow_late_submissions'] = allow_late_submissions body['allow_students_to_add_resources_to_submission'] = allow_students_to_add_resources_to_submission body['assign_date_time'] = assign_date_time body['assigned_date_time'] = assigned_date_time body['assign_to'] = assign_to body['class_id'] = class_id body['close_date_time'] = close_date_time body['created_date_time'] = created_date_time body['display_name'] = display_name body['due_date_time'] = due_date_time body['grading'] = grading body['instructions'] = instructions body['last_modified_date_time'] = last_modified_date_time body['status'] = status body['categories'] = categories body['resources'] = resources body['submissions'] = submissions body['rubric'] = {} body['rubric']['id'] = microsoft_graph_entity_id body['rubric']['created_date_time'] = microsoft_graph_education_rubric_created_date_time_created_date_time body['rubric']['description'] = description body['rubric']['display_name'] = microsoft_graph_education_rubric_display_name body['rubric']['grading'] = microsoft_graph_education_assignment_grade_type_grading body['rubric']['last_modified_date_time'] = microsoft_graph_education_rubric_last_modified_date_time_last_modified_date_time body['rubric']['levels'] = levels body['rubric']['qualities'] = qualities body['rubric']['last_modified_by'] = {} body['rubric']['last_modified_by']['application'] = application body['rubric']['last_modified_by']['device'] = device body['rubric']['last_modified_by']['user'] = user body['rubric']['created_by'] = {} body['rubric']['created_by']['application'] = microsoft_graph_identity_application body['rubric']['created_by']['device'] = microsoft_graph_identity_device body['rubric']['created_by']['user'] = microsoft_graph_identity_user body['last_modified_by'] = {} body['last_modified_by']['application'] = application1 body['last_modified_by']['device'] = device1 body['last_modified_by']['user'] = user1 body['created_by'] = {} body['created_by']['application'] = application2 body['created_by']['device'] = device2 body['created_by']['user'] = user2 return client.create_assignments(body=body) def education_education_me_create_ref_class(client, body): return client.create_ref_classes(body=body) def education_education_me_create_ref_school(client, body): return client.create_ref_schools(body=body) def education_education_me_create_ref_taught_class(client, body): return client.create_ref_taught_classes(body=body) def education_education_me_create_rubric(client, id_=None, created_date_time=None, description=None, display_name=None, grading=None, last_modified_date_time=None, levels=None, qualities=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None): body = {} body['id'] = id_ body['created_date_time'] = created_date_time body['description'] = description body['display_name'] = display_name body['grading'] = grading body['last_modified_date_time'] = last_modified_date_time body['levels'] = levels body['qualities'] = qualities body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user return client.create_rubrics(body=body) def education_education_me_delete_assignment(client, education_assignment_id, if_match=None): return client.delete_assignments(education_assignment_id=education_assignment_id, if_match=if_match) def education_education_me_delete_ref_user(client, if_match=None): return client.delete_ref_user(if_match=if_match) def education_education_me_delete_rubric(client, education_rubric_id, if_match=None): return client.delete_rubrics(education_rubric_id=education_rubric_id, if_match=if_match) def education_education_me_list_assignment(client, orderby=None, select=None, expand=None): return client.list_assignments(orderby=orderby, select=select, expand=expand) def education_education_me_list_class(client, orderby=None, select=None, expand=None): return client.list_classes(orderby=orderby, select=select, expand=expand) def education_education_me_list_ref_class(client, orderby=None): return client.list_ref_classes(orderby=orderby) def education_education_me_list_ref_school(client, orderby=None): return client.list_ref_schools(orderby=orderby) def education_education_me_list_ref_taught_class(client, orderby=None): return client.list_ref_taught_classes(orderby=orderby) def education_education_me_list_rubric(client, orderby=None, select=None, expand=None): return client.list_rubrics(orderby=orderby, select=select, expand=expand) def education_education_me_list_school(client, orderby=None, select=None, expand=None): return client.list_schools(orderby=orderby, select=select, expand=expand) def education_education_me_list_taught_class(client, orderby=None, select=None, expand=None): return client.list_taught_classes(orderby=orderby, select=select, expand=expand) def education_education_me_set_ref_user(client, body): return client.set_ref_user(body=body) def education_education_me_show_assignment(client, education_assignment_id, select=None, expand=None): return client.get_assignments(education_assignment_id=education_assignment_id, select=select, expand=expand) def education_education_me_show_ref_user(client): return client.get_ref_user() def education_education_me_show_rubric(client, education_rubric_id, select=None, expand=None): return client.get_rubrics(education_rubric_id=education_rubric_id, select=select, expand=expand) def education_education_me_show_user(client, select=None, expand=None): return client.get_user(select=select, expand=expand) def education_education_me_update_assignment(client, education_assignment_id, id_=None, allow_late_submissions=None, allow_students_to_add_resources_to_submission=None, assign_date_time=None, assigned_date_time=None, assign_to=None, class_id=None, close_date_time=None, created_date_time=None, display_name=None, due_date_time=None, grading=None, instructions=None, last_modified_date_time=None, status=None, categories=None, resources=None, submissions=None, microsoft_graph_entity_id=None, microsoft_graph_education_rubric_created_date_time_created_date_time=None, description=None, microsoft_graph_education_rubric_display_name=None, microsoft_graph_education_assignment_grade_type_grading=None, microsoft_graph_education_rubric_last_modified_date_time_last_modified_date_time=None, levels=None, qualities=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, application1=None, device1=None, user1=None, application2=None, device2=None, user2=None): body = {} body['id'] = id_ body['allow_late_submissions'] = allow_late_submissions body['allow_students_to_add_resources_to_submission'] = allow_students_to_add_resources_to_submission body['assign_date_time'] = assign_date_time body['assigned_date_time'] = assigned_date_time body['assign_to'] = assign_to body['class_id'] = class_id body['close_date_time'] = close_date_time body['created_date_time'] = created_date_time body['display_name'] = display_name body['due_date_time'] = due_date_time body['grading'] = grading body['instructions'] = instructions body['last_modified_date_time'] = last_modified_date_time body['status'] = status body['categories'] = categories body['resources'] = resources body['submissions'] = submissions body['rubric'] = {} body['rubric']['id'] = microsoft_graph_entity_id body['rubric']['created_date_time'] = microsoft_graph_education_rubric_created_date_time_created_date_time body['rubric']['description'] = description body['rubric']['display_name'] = microsoft_graph_education_rubric_display_name body['rubric']['grading'] = microsoft_graph_education_assignment_grade_type_grading body['rubric']['last_modified_date_time'] = microsoft_graph_education_rubric_last_modified_date_time_last_modified_date_time body['rubric']['levels'] = levels body['rubric']['qualities'] = qualities body['rubric']['last_modified_by'] = {} body['rubric']['last_modified_by']['application'] = application body['rubric']['last_modified_by']['device'] = device body['rubric']['last_modified_by']['user'] = user body['rubric']['created_by'] = {} body['rubric']['created_by']['application'] = microsoft_graph_identity_application body['rubric']['created_by']['device'] = microsoft_graph_identity_device body['rubric']['created_by']['user'] = microsoft_graph_identity_user body['last_modified_by'] = {} body['last_modified_by']['application'] = application1 body['last_modified_by']['device'] = device1 body['last_modified_by']['user'] = user1 body['created_by'] = {} body['created_by']['application'] = application2 body['created_by']['device'] = device2 body['created_by']['user'] = user2 return client.update_assignments(education_assignment_id=education_assignment_id, body=body) def education_education_me_update_rubric(client, education_rubric_id, id_=None, created_date_time=None, description=None, display_name=None, grading=None, last_modified_date_time=None, levels=None, qualities=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None): body = {} body['id'] = id_ body['created_date_time'] = created_date_time body['description'] = description body['display_name'] = display_name body['grading'] = grading body['last_modified_date_time'] = last_modified_date_time body['levels'] = levels body['qualities'] = qualities body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user return client.update_rubrics(education_rubric_id=education_rubric_id, body=body) def education_education_me_assignment_create_category(client, education_assignment_id, id_=None, display_name=None): body = {} body['id'] = id_ body['display_name'] = display_name return client.create_categories(education_assignment_id=education_assignment_id, body=body) def education_education_me_assignment_create_resource(client, education_assignment_id, id_=None, distribute_for_student_work=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['distribute_for_student_work'] = distribute_for_student_work body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.create_resources(education_assignment_id=education_assignment_id, body=body) def education_education_me_assignment_create_submission(client, education_assignment_id, id_=None, recipient=None, released_date_time=None, resources_folder_url=None, returned_date_time=None, status=None, submitted_date_time=None, unsubmitted_date_time=None, outcomes=None, resources=None, submitted_resources=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, application1=None, device1=None, user1=None, application2=None, device2=None, user2=None): body = {} body['id'] = id_ body['recipient'] = recipient body['released_date_time'] = released_date_time body['resources_folder_url'] = resources_folder_url body['returned_date_time'] = returned_date_time body['status'] = status body['submitted_date_time'] = submitted_date_time body['unsubmitted_date_time'] = unsubmitted_date_time body['outcomes'] = outcomes body['resources'] = resources body['submitted_resources'] = submitted_resources body['unsubmitted_by'] = {} body['unsubmitted_by']['application'] = application body['unsubmitted_by']['device'] = device body['unsubmitted_by']['user'] = user body['submitted_by'] = {} body['submitted_by']['application'] = microsoft_graph_identity_application body['submitted_by']['device'] = microsoft_graph_identity_device body['submitted_by']['user'] = microsoft_graph_identity_user body['returned_by'] = {} body['returned_by']['application'] = application1 body['returned_by']['device'] = device1 body['returned_by']['user'] = user1 body['released_by'] = {} body['released_by']['application'] = application2 body['released_by']['device'] = device2 body['released_by']['user'] = user2 return client.create_submissions(education_assignment_id=education_assignment_id, body=body) def education_education_me_assignment_delete_category(client, education_assignment_id, education_category_id, if_match=None): return client.delete_categories(education_assignment_id=education_assignment_id, education_category_id=education_category_id, if_match=if_match) def education_education_me_assignment_delete_resource(client, education_assignment_id, education_assignment_resource_id, if_match=None): return client.delete_resources(education_assignment_id=education_assignment_id, education_assignment_resource_id=education_assignment_resource_id, if_match=if_match) def education_education_me_assignment_delete_rubric(client, education_assignment_id, if_match=None): return client.delete_rubric(education_assignment_id=education_assignment_id, if_match=if_match) def education_education_me_assignment_delete_submission(client, education_assignment_id, education_submission_id, if_match=None): return client.delete_submissions(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, if_match=if_match) def education_education_me_assignment_list_category(client, education_assignment_id, orderby=None, select=None, expand=None): return client.list_categories(education_assignment_id=education_assignment_id, orderby=orderby, select=select, expand=expand) def education_education_me_assignment_list_resource(client, education_assignment_id, orderby=None, select=None, expand=None): return client.list_resources(education_assignment_id=education_assignment_id, orderby=orderby, select=select, expand=expand) def education_education_me_assignment_list_submission(client, education_assignment_id, orderby=None, select=None, expand=None): return client.list_submissions(education_assignment_id=education_assignment_id, orderby=orderby, select=select, expand=expand) def education_education_me_assignment_publish(client, education_assignment_id): return client.publish(education_assignment_id=education_assignment_id) def education_education_me_assignment_show_category(client, education_assignment_id, education_category_id, select=None, expand=None): return client.get_categories(education_assignment_id=education_assignment_id, education_category_id=education_category_id, select=select, expand=expand) def education_education_me_assignment_show_resource(client, education_assignment_id, education_assignment_resource_id, select=None, expand=None): return client.get_resources(education_assignment_id=education_assignment_id, education_assignment_resource_id=education_assignment_resource_id, select=select, expand=expand) def education_education_me_assignment_show_resource_folder_url(client, education_assignment_id): return client.get_resources_folder_url(education_assignment_id=education_assignment_id) def education_education_me_assignment_show_rubric(client, education_assignment_id, select=None, expand=None): return client.get_rubric(education_assignment_id=education_assignment_id, select=select, expand=expand) def education_education_me_assignment_show_submission(client, education_assignment_id, education_submission_id, select=None, expand=None): return client.get_submissions(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, select=select, expand=expand) def education_education_me_assignment_update_category(client, education_assignment_id, education_category_id, id_=None, display_name=None): body = {} body['id'] = id_ body['display_name'] = display_name return client.update_categories(education_assignment_id=education_assignment_id, education_category_id=education_category_id, body=body) def education_education_me_assignment_update_resource(client, education_assignment_id, education_assignment_resource_id, id_=None, distribute_for_student_work=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['distribute_for_student_work'] = distribute_for_student_work body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.update_resources(education_assignment_id=education_assignment_id, education_assignment_resource_id=education_assignment_resource_id, body=body) def education_education_me_assignment_update_rubric(client, education_assignment_id, id_=None, created_date_time=None, description=None, display_name=None, grading=None, last_modified_date_time=None, levels=None, qualities=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None): body = {} body['id'] = id_ body['created_date_time'] = created_date_time body['description'] = description body['display_name'] = display_name body['grading'] = grading body['last_modified_date_time'] = last_modified_date_time body['levels'] = levels body['qualities'] = qualities body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user return client.update_rubric(education_assignment_id=education_assignment_id, body=body) def education_education_me_assignment_update_submission(client, education_assignment_id, education_submission_id, id_=None, recipient=None, released_date_time=None, resources_folder_url=None, returned_date_time=None, status=None, submitted_date_time=None, unsubmitted_date_time=None, outcomes=None, resources=None, submitted_resources=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, application1=None, device1=None, user1=None, application2=None, device2=None, user2=None): body = {} body['id'] = id_ body['recipient'] = recipient body['released_date_time'] = released_date_time body['resources_folder_url'] = resources_folder_url body['returned_date_time'] = returned_date_time body['status'] = status body['submitted_date_time'] = submitted_date_time body['unsubmitted_date_time'] = unsubmitted_date_time body['outcomes'] = outcomes body['resources'] = resources body['submitted_resources'] = submitted_resources body['unsubmitted_by'] = {} body['unsubmitted_by']['application'] = application body['unsubmitted_by']['device'] = device body['unsubmitted_by']['user'] = user body['submitted_by'] = {} body['submitted_by']['application'] = microsoft_graph_identity_application body['submitted_by']['device'] = microsoft_graph_identity_device body['submitted_by']['user'] = microsoft_graph_identity_user body['returned_by'] = {} body['returned_by']['application'] = application1 body['returned_by']['device'] = device1 body['returned_by']['user'] = user1 body['released_by'] = {} body['released_by']['application'] = application2 body['released_by']['device'] = device2 body['released_by']['user'] = user2 return client.update_submissions(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, body=body) def education_education_me_assignment_submission_create_outcome(client, education_assignment_id, education_submission_id, id_=None, last_modified_date_time=None, application=None, device=None, user=None): body = {} body['id'] = id_ body['last_modified_date_time'] = last_modified_date_time body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user return client.create_outcomes(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, body=body) def education_education_me_assignment_submission_create_resource(client, education_assignment_id, education_submission_id, id_=None, assignment_resource_url=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['assignment_resource_url'] = assignment_resource_url body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.create_resources(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, body=body) def education_education_me_assignment_submission_create_submitted_resource(client, education_assignment_id, education_submission_id, id_=None, assignment_resource_url=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['assignment_resource_url'] = assignment_resource_url body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.create_submitted_resources(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, body=body) def education_education_me_assignment_submission_delete_outcome(client, education_assignment_id, education_submission_id, education_outcome_id, if_match=None): return client.delete_outcomes(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_outcome_id=education_outcome_id, if_match=if_match) def education_education_me_assignment_submission_delete_resource(client, education_assignment_id, education_submission_id, education_submission_resource_id, if_match=None): return client.delete_resources(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, if_match=if_match) def education_education_me_assignment_submission_delete_submitted_resource(client, education_assignment_id, education_submission_id, education_submission_resource_id, if_match=None): return client.delete_submitted_resources(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, if_match=if_match) def education_education_me_assignment_submission_list_outcome(client, education_assignment_id, education_submission_id, orderby=None, select=None, expand=None): return client.list_outcomes(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, orderby=orderby, select=select, expand=expand) def education_education_me_assignment_submission_list_resource(client, education_assignment_id, education_submission_id, orderby=None, select=None, expand=None): return client.list_resources(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, orderby=orderby, select=select, expand=expand) def education_education_me_assignment_submission_list_submitted_resource(client, education_assignment_id, education_submission_id, orderby=None, select=None, expand=None): return client.list_submitted_resources(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, orderby=orderby, select=select, expand=expand) def education_education_me_assignment_submission_return(client, education_assignment_id, education_submission_id): return client.return_method(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id) def education_education_me_assignment_submission_show_outcome(client, education_assignment_id, education_submission_id, education_outcome_id, select=None, expand=None): return client.get_outcomes(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_outcome_id=education_outcome_id, select=select, expand=expand) def education_education_me_assignment_submission_show_resource(client, education_assignment_id, education_submission_id, education_submission_resource_id, select=None, expand=None): return client.get_resources(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, select=select, expand=expand) def education_education_me_assignment_submission_show_submitted_resource(client, education_assignment_id, education_submission_id, education_submission_resource_id, select=None, expand=None): return client.get_submitted_resources(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, select=select, expand=expand) def education_education_me_assignment_submission_submit(client, education_assignment_id, education_submission_id): return client.submit(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id) def education_education_me_assignment_submission_unsubmit(client, education_assignment_id, education_submission_id): return client.unsubmit(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id) def education_education_me_assignment_submission_update_outcome(client, education_assignment_id, education_submission_id, education_outcome_id, id_=None, last_modified_date_time=None, application=None, device=None, user=None): body = {} body['id'] = id_ body['last_modified_date_time'] = last_modified_date_time body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user return client.update_outcomes(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_outcome_id=education_outcome_id, body=body) def education_education_me_assignment_submission_update_resource(client, education_assignment_id, education_submission_id, education_submission_resource_id, id_=None, assignment_resource_url=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['assignment_resource_url'] = assignment_resource_url body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.update_resources(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, body=body) def education_education_me_assignment_submission_update_submitted_resource(client, education_assignment_id, education_submission_id, education_submission_resource_id, id_=None, assignment_resource_url=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['assignment_resource_url'] = assignment_resource_url body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.update_submitted_resources(education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, body=body) def education_education_me_class_delta(client): return client.delta() def education_education_me_school_delta(client): return client.delta() def education_education_me_taught_class_delta(client): return client.delta() def education_education_school_create_ref_class(client, education_school_id, body): return client.create_ref_classes(education_school_id=education_school_id, body=body) def education_education_school_create_ref_user(client, education_school_id, body): return client.create_ref_users(education_school_id=education_school_id, body=body) def education_education_school_delete_ref_administrative_unit(client, education_school_id, if_match=None): return client.delete_ref_administrative_unit(education_school_id=education_school_id, if_match=if_match) def education_education_school_delta(client): return client.delta() def education_education_school_list_class(client, education_school_id, orderby=None, select=None, expand=None): return client.list_classes(education_school_id=education_school_id, orderby=orderby, select=select, expand=expand) def education_education_school_list_ref_class(client, education_school_id, orderby=None): return client.list_ref_classes(education_school_id=education_school_id, orderby=orderby) def education_education_school_list_ref_user(client, education_school_id, orderby=None): return client.list_ref_users(education_school_id=education_school_id, orderby=orderby) def education_education_school_list_user(client, education_school_id, orderby=None, select=None, expand=None): return client.list_users(education_school_id=education_school_id, orderby=orderby, select=select, expand=expand) def education_education_school_set_ref_administrative_unit(client, education_school_id, body): return client.set_ref_administrative_unit(education_school_id=education_school_id, body=body) def education_education_school_show_administrative_unit(client, education_school_id, select=None, expand=None): return client.get_administrative_unit(education_school_id=education_school_id, select=select, expand=expand) def education_education_school_show_ref_administrative_unit(client, education_school_id): return client.get_ref_administrative_unit(education_school_id=education_school_id) def education_education_school_class_delta(client, education_school_id): return client.delta(education_school_id=education_school_id) def education_education_school_user_delta(client, education_school_id): return client.delta(education_school_id=education_school_id) def education_education_synchronization_profile_create_error(client, education_synchronization_profile_id, id_=None, entry_type=None, error_code=None, error_message=None, joining_value=None, recorded_date_time=None, reportable_identifier=None): body = {} body['id'] = id_ body['entry_type'] = entry_type body['error_code'] = error_code body['error_message'] = error_message body['joining_value'] = joining_value body['recorded_date_time'] = recorded_date_time body['reportable_identifier'] = reportable_identifier return client.create_errors(education_synchronization_profile_id=education_synchronization_profile_id, body=body) def education_education_synchronization_profile_delete_error(client, education_synchronization_profile_id, education_synchronization_error_id, if_match=None): return client.delete_errors(education_synchronization_profile_id=education_synchronization_profile_id, education_synchronization_error_id=education_synchronization_error_id, if_match=if_match) def education_education_synchronization_profile_delete_profile_status(client, education_synchronization_profile_id, if_match=None): return client.delete_profile_status(education_synchronization_profile_id=education_synchronization_profile_id, if_match=if_match) def education_education_synchronization_profile_list_error(client, education_synchronization_profile_id, orderby=None, select=None, expand=None): return client.list_errors(education_synchronization_profile_id=education_synchronization_profile_id, orderby=orderby, select=select, expand=expand) def education_education_synchronization_profile_pause(client, education_synchronization_profile_id): return client.pause(education_synchronization_profile_id=education_synchronization_profile_id) def education_education_synchronization_profile_reset(client, education_synchronization_profile_id): return client.reset(education_synchronization_profile_id=education_synchronization_profile_id) def education_education_synchronization_profile_resume(client, education_synchronization_profile_id): return client.resume(education_synchronization_profile_id=education_synchronization_profile_id) def education_education_synchronization_profile_show_error(client, education_synchronization_profile_id, education_synchronization_error_id, select=None, expand=None): return client.get_errors(education_synchronization_profile_id=education_synchronization_profile_id, education_synchronization_error_id=education_synchronization_error_id, select=select, expand=expand) def education_education_synchronization_profile_show_profile_status(client, education_synchronization_profile_id, select=None, expand=None): return client.get_profile_status(education_synchronization_profile_id=education_synchronization_profile_id, select=select, expand=expand) def education_education_synchronization_profile_start(client, education_synchronization_profile_id): return client.start(education_synchronization_profile_id=education_synchronization_profile_id) def education_education_synchronization_profile_update_error(client, education_synchronization_profile_id, education_synchronization_error_id, id_=None, entry_type=None, error_code=None, error_message=None, joining_value=None, recorded_date_time=None, reportable_identifier=None): body = {} body['id'] = id_ body['entry_type'] = entry_type body['error_code'] = error_code body['error_message'] = error_message body['joining_value'] = joining_value body['recorded_date_time'] = recorded_date_time body['reportable_identifier'] = reportable_identifier return client.update_errors(education_synchronization_profile_id=education_synchronization_profile_id, education_synchronization_error_id=education_synchronization_error_id, body=body) def education_education_synchronization_profile_update_profile_status(client, education_synchronization_profile_id, id_=None, last_synchronization_date_time=None, status=None): body = {} body['id'] = id_ body['last_synchronization_date_time'] = last_synchronization_date_time body['status'] = status return client.update_profile_status(education_synchronization_profile_id=education_synchronization_profile_id, body=body) def education_education_synchronization_profile_upload_url(client, education_synchronization_profile_id): return client.upload_url(education_synchronization_profile_id=education_synchronization_profile_id) def education_education_user_create_assignment(client, education_user_id, id_=None, allow_late_submissions=None, allow_students_to_add_resources_to_submission=None, assign_date_time=None, assigned_date_time=None, assign_to=None, class_id=None, close_date_time=None, created_date_time=None, display_name=None, due_date_time=None, grading=None, instructions=None, last_modified_date_time=None, status=None, categories=None, resources=None, submissions=None, microsoft_graph_entity_id=None, microsoft_graph_education_rubric_created_date_time_created_date_time=None, description=None, microsoft_graph_education_rubric_display_name=None, microsoft_graph_education_assignment_grade_type_grading=None, microsoft_graph_education_rubric_last_modified_date_time_last_modified_date_time=None, levels=None, qualities=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, application1=None, device1=None, user1=None, application2=None, device2=None, user2=None): body = {} body['id'] = id_ body['allow_late_submissions'] = allow_late_submissions body['allow_students_to_add_resources_to_submission'] = allow_students_to_add_resources_to_submission body['assign_date_time'] = assign_date_time body['assigned_date_time'] = assigned_date_time body['assign_to'] = assign_to body['class_id'] = class_id body['close_date_time'] = close_date_time body['created_date_time'] = created_date_time body['display_name'] = display_name body['due_date_time'] = due_date_time body['grading'] = grading body['instructions'] = instructions body['last_modified_date_time'] = last_modified_date_time body['status'] = status body['categories'] = categories body['resources'] = resources body['submissions'] = submissions body['rubric'] = {} body['rubric']['id'] = microsoft_graph_entity_id body['rubric']['created_date_time'] = microsoft_graph_education_rubric_created_date_time_created_date_time body['rubric']['description'] = description body['rubric']['display_name'] = microsoft_graph_education_rubric_display_name body['rubric']['grading'] = microsoft_graph_education_assignment_grade_type_grading body['rubric']['last_modified_date_time'] = microsoft_graph_education_rubric_last_modified_date_time_last_modified_date_time body['rubric']['levels'] = levels body['rubric']['qualities'] = qualities body['rubric']['last_modified_by'] = {} body['rubric']['last_modified_by']['application'] = application body['rubric']['last_modified_by']['device'] = device body['rubric']['last_modified_by']['user'] = user body['rubric']['created_by'] = {} body['rubric']['created_by']['application'] = microsoft_graph_identity_application body['rubric']['created_by']['device'] = microsoft_graph_identity_device body['rubric']['created_by']['user'] = microsoft_graph_identity_user body['last_modified_by'] = {} body['last_modified_by']['application'] = application1 body['last_modified_by']['device'] = device1 body['last_modified_by']['user'] = user1 body['created_by'] = {} body['created_by']['application'] = application2 body['created_by']['device'] = device2 body['created_by']['user'] = user2 return client.create_assignments(education_user_id=education_user_id, body=body) def education_education_user_create_ref_class(client, education_user_id, body): return client.create_ref_classes(education_user_id=education_user_id, body=body) def education_education_user_create_ref_school(client, education_user_id, body): return client.create_ref_schools(education_user_id=education_user_id, body=body) def education_education_user_create_ref_taught_class(client, education_user_id, body): return client.create_ref_taught_classes(education_user_id=education_user_id, body=body) def education_education_user_create_rubric(client, education_user_id, id_=None, created_date_time=None, description=None, display_name=None, grading=None, last_modified_date_time=None, levels=None, qualities=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None): body = {} body['id'] = id_ body['created_date_time'] = created_date_time body['description'] = description body['display_name'] = display_name body['grading'] = grading body['last_modified_date_time'] = last_modified_date_time body['levels'] = levels body['qualities'] = qualities body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user return client.create_rubrics(education_user_id=education_user_id, body=body) def education_education_user_delete_assignment(client, education_user_id, education_assignment_id, if_match=None): return client.delete_assignments(education_user_id=education_user_id, education_assignment_id=education_assignment_id, if_match=if_match) def education_education_user_delete_ref_user(client, education_user_id, if_match=None): return client.delete_ref_user(education_user_id=education_user_id, if_match=if_match) def education_education_user_delete_rubric(client, education_user_id, education_rubric_id, if_match=None): return client.delete_rubrics(education_user_id=education_user_id, education_rubric_id=education_rubric_id, if_match=if_match) def education_education_user_delta(client): return client.delta() def education_education_user_list_assignment(client, education_user_id, orderby=None, select=None, expand=None): return client.list_assignments(education_user_id=education_user_id, orderby=orderby, select=select, expand=expand) def education_education_user_list_class(client, education_user_id, orderby=None, select=None, expand=None): return client.list_classes(education_user_id=education_user_id, orderby=orderby, select=select, expand=expand) def education_education_user_list_ref_class(client, education_user_id, orderby=None): return client.list_ref_classes(education_user_id=education_user_id, orderby=orderby) def education_education_user_list_ref_school(client, education_user_id, orderby=None): return client.list_ref_schools(education_user_id=education_user_id, orderby=orderby) def education_education_user_list_ref_taught_class(client, education_user_id, orderby=None): return client.list_ref_taught_classes(education_user_id=education_user_id, orderby=orderby) def education_education_user_list_rubric(client, education_user_id, orderby=None, select=None, expand=None): return client.list_rubrics(education_user_id=education_user_id, orderby=orderby, select=select, expand=expand) def education_education_user_list_school(client, education_user_id, orderby=None, select=None, expand=None): return client.list_schools(education_user_id=education_user_id, orderby=orderby, select=select, expand=expand) def education_education_user_list_taught_class(client, education_user_id, orderby=None, select=None, expand=None): return client.list_taught_classes(education_user_id=education_user_id, orderby=orderby, select=select, expand=expand) def education_education_user_set_ref_user(client, education_user_id, body): return client.set_ref_user(education_user_id=education_user_id, body=body) def education_education_user_show_assignment(client, education_user_id, education_assignment_id, select=None, expand=None): return client.get_assignments(education_user_id=education_user_id, education_assignment_id=education_assignment_id, select=select, expand=expand) def education_education_user_show_ref_user(client, education_user_id): return client.get_ref_user(education_user_id=education_user_id) def education_education_user_show_rubric(client, education_user_id, education_rubric_id, select=None, expand=None): return client.get_rubrics(education_user_id=education_user_id, education_rubric_id=education_rubric_id, select=select, expand=expand) def education_education_user_show_user(client, education_user_id, select=None, expand=None): return client.get_user(education_user_id=education_user_id, select=select, expand=expand) def education_education_user_update_assignment(client, education_user_id, education_assignment_id, id_=None, allow_late_submissions=None, allow_students_to_add_resources_to_submission=None, assign_date_time=None, assigned_date_time=None, assign_to=None, class_id=None, close_date_time=None, created_date_time=None, display_name=None, due_date_time=None, grading=None, instructions=None, last_modified_date_time=None, status=None, categories=None, resources=None, submissions=None, microsoft_graph_entity_id=None, microsoft_graph_education_rubric_created_date_time_created_date_time=None, description=None, microsoft_graph_education_rubric_display_name=None, microsoft_graph_education_assignment_grade_type_grading=None, microsoft_graph_education_rubric_last_modified_date_time_last_modified_date_time=None, levels=None, qualities=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, application1=None, device1=None, user1=None, application2=None, device2=None, user2=None): body = {} body['id'] = id_ body['allow_late_submissions'] = allow_late_submissions body['allow_students_to_add_resources_to_submission'] = allow_students_to_add_resources_to_submission body['assign_date_time'] = assign_date_time body['assigned_date_time'] = assigned_date_time body['assign_to'] = assign_to body['class_id'] = class_id body['close_date_time'] = close_date_time body['created_date_time'] = created_date_time body['display_name'] = display_name body['due_date_time'] = due_date_time body['grading'] = grading body['instructions'] = instructions body['last_modified_date_time'] = last_modified_date_time body['status'] = status body['categories'] = categories body['resources'] = resources body['submissions'] = submissions body['rubric'] = {} body['rubric']['id'] = microsoft_graph_entity_id body['rubric']['created_date_time'] = microsoft_graph_education_rubric_created_date_time_created_date_time body['rubric']['description'] = description body['rubric']['display_name'] = microsoft_graph_education_rubric_display_name body['rubric']['grading'] = microsoft_graph_education_assignment_grade_type_grading body['rubric']['last_modified_date_time'] = microsoft_graph_education_rubric_last_modified_date_time_last_modified_date_time body['rubric']['levels'] = levels body['rubric']['qualities'] = qualities body['rubric']['last_modified_by'] = {} body['rubric']['last_modified_by']['application'] = application body['rubric']['last_modified_by']['device'] = device body['rubric']['last_modified_by']['user'] = user body['rubric']['created_by'] = {} body['rubric']['created_by']['application'] = microsoft_graph_identity_application body['rubric']['created_by']['device'] = microsoft_graph_identity_device body['rubric']['created_by']['user'] = microsoft_graph_identity_user body['last_modified_by'] = {} body['last_modified_by']['application'] = application1 body['last_modified_by']['device'] = device1 body['last_modified_by']['user'] = user1 body['created_by'] = {} body['created_by']['application'] = application2 body['created_by']['device'] = device2 body['created_by']['user'] = user2 return client.update_assignments(education_user_id=education_user_id, education_assignment_id=education_assignment_id, body=body) def education_education_user_update_rubric(client, education_user_id, education_rubric_id, id_=None, created_date_time=None, description=None, display_name=None, grading=None, last_modified_date_time=None, levels=None, qualities=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None): body = {} body['id'] = id_ body['created_date_time'] = created_date_time body['description'] = description body['display_name'] = display_name body['grading'] = grading body['last_modified_date_time'] = last_modified_date_time body['levels'] = levels body['qualities'] = qualities body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user return client.update_rubrics(education_user_id=education_user_id, education_rubric_id=education_rubric_id, body=body) def education_education_user_assignment_create_category(client, education_user_id, education_assignment_id, id_=None, display_name=None): body = {} body['id'] = id_ body['display_name'] = display_name return client.create_categories(education_user_id=education_user_id, education_assignment_id=education_assignment_id, body=body) def education_education_user_assignment_create_resource(client, education_user_id, education_assignment_id, id_=None, distribute_for_student_work=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['distribute_for_student_work'] = distribute_for_student_work body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.create_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, body=body) def education_education_user_assignment_create_submission(client, education_user_id, education_assignment_id, id_=None, recipient=None, released_date_time=None, resources_folder_url=None, returned_date_time=None, status=None, submitted_date_time=None, unsubmitted_date_time=None, outcomes=None, resources=None, submitted_resources=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, application1=None, device1=None, user1=None, application2=None, device2=None, user2=None): body = {} body['id'] = id_ body['recipient'] = recipient body['released_date_time'] = released_date_time body['resources_folder_url'] = resources_folder_url body['returned_date_time'] = returned_date_time body['status'] = status body['submitted_date_time'] = submitted_date_time body['unsubmitted_date_time'] = unsubmitted_date_time body['outcomes'] = outcomes body['resources'] = resources body['submitted_resources'] = submitted_resources body['unsubmitted_by'] = {} body['unsubmitted_by']['application'] = application body['unsubmitted_by']['device'] = device body['unsubmitted_by']['user'] = user body['submitted_by'] = {} body['submitted_by']['application'] = microsoft_graph_identity_application body['submitted_by']['device'] = microsoft_graph_identity_device body['submitted_by']['user'] = microsoft_graph_identity_user body['returned_by'] = {} body['returned_by']['application'] = application1 body['returned_by']['device'] = device1 body['returned_by']['user'] = user1 body['released_by'] = {} body['released_by']['application'] = application2 body['released_by']['device'] = device2 body['released_by']['user'] = user2 return client.create_submissions(education_user_id=education_user_id, education_assignment_id=education_assignment_id, body=body) def education_education_user_assignment_delete_category(client, education_user_id, education_assignment_id, education_category_id, if_match=None): return client.delete_categories(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_category_id=education_category_id, if_match=if_match) def education_education_user_assignment_delete_resource(client, education_user_id, education_assignment_id, education_assignment_resource_id, if_match=None): return client.delete_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_assignment_resource_id=education_assignment_resource_id, if_match=if_match) def education_education_user_assignment_delete_rubric(client, education_user_id, education_assignment_id, if_match=None): return client.delete_rubric(education_user_id=education_user_id, education_assignment_id=education_assignment_id, if_match=if_match) def education_education_user_assignment_delete_submission(client, education_user_id, education_assignment_id, education_submission_id, if_match=None): return client.delete_submissions(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, if_match=if_match) def education_education_user_assignment_list_category(client, education_user_id, education_assignment_id, orderby=None, select=None, expand=None): return client.list_categories(education_user_id=education_user_id, education_assignment_id=education_assignment_id, orderby=orderby, select=select, expand=expand) def education_education_user_assignment_list_resource(client, education_user_id, education_assignment_id, orderby=None, select=None, expand=None): return client.list_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, orderby=orderby, select=select, expand=expand) def education_education_user_assignment_list_submission(client, education_user_id, education_assignment_id, orderby=None, select=None, expand=None): return client.list_submissions(education_user_id=education_user_id, education_assignment_id=education_assignment_id, orderby=orderby, select=select, expand=expand) def education_education_user_assignment_publish(client, education_user_id, education_assignment_id): return client.publish(education_user_id=education_user_id, education_assignment_id=education_assignment_id) def education_education_user_assignment_show_category(client, education_user_id, education_assignment_id, education_category_id, select=None, expand=None): return client.get_categories(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_category_id=education_category_id, select=select, expand=expand) def education_education_user_assignment_show_resource(client, education_user_id, education_assignment_id, education_assignment_resource_id, select=None, expand=None): return client.get_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_assignment_resource_id=education_assignment_resource_id, select=select, expand=expand) def education_education_user_assignment_show_resource_folder_url(client, education_user_id, education_assignment_id): return client.get_resources_folder_url(education_user_id=education_user_id, education_assignment_id=education_assignment_id) def education_education_user_assignment_show_rubric(client, education_user_id, education_assignment_id, select=None, expand=None): return client.get_rubric(education_user_id=education_user_id, education_assignment_id=education_assignment_id, select=select, expand=expand) def education_education_user_assignment_show_submission(client, education_user_id, education_assignment_id, education_submission_id, select=None, expand=None): return client.get_submissions(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, select=select, expand=expand) def education_education_user_assignment_update_category(client, education_user_id, education_assignment_id, education_category_id, id_=None, display_name=None): body = {} body['id'] = id_ body['display_name'] = display_name return client.update_categories(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_category_id=education_category_id, body=body) def education_education_user_assignment_update_resource(client, education_user_id, education_assignment_id, education_assignment_resource_id, id_=None, distribute_for_student_work=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['distribute_for_student_work'] = distribute_for_student_work body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.update_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_assignment_resource_id=education_assignment_resource_id, body=body) def education_education_user_assignment_update_rubric(client, education_user_id, education_assignment_id, id_=None, created_date_time=None, description=None, display_name=None, grading=None, last_modified_date_time=None, levels=None, qualities=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None): body = {} body['id'] = id_ body['created_date_time'] = created_date_time body['description'] = description body['display_name'] = display_name body['grading'] = grading body['last_modified_date_time'] = last_modified_date_time body['levels'] = levels body['qualities'] = qualities body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user return client.update_rubric(education_user_id=education_user_id, education_assignment_id=education_assignment_id, body=body) def education_education_user_assignment_update_submission(client, education_user_id, education_assignment_id, education_submission_id, id_=None, recipient=None, released_date_time=None, resources_folder_url=None, returned_date_time=None, status=None, submitted_date_time=None, unsubmitted_date_time=None, outcomes=None, resources=None, submitted_resources=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, application1=None, device1=None, user1=None, application2=None, device2=None, user2=None): body = {} body['id'] = id_ body['recipient'] = recipient body['released_date_time'] = released_date_time body['resources_folder_url'] = resources_folder_url body['returned_date_time'] = returned_date_time body['status'] = status body['submitted_date_time'] = submitted_date_time body['unsubmitted_date_time'] = unsubmitted_date_time body['outcomes'] = outcomes body['resources'] = resources body['submitted_resources'] = submitted_resources body['unsubmitted_by'] = {} body['unsubmitted_by']['application'] = application body['unsubmitted_by']['device'] = device body['unsubmitted_by']['user'] = user body['submitted_by'] = {} body['submitted_by']['application'] = microsoft_graph_identity_application body['submitted_by']['device'] = microsoft_graph_identity_device body['submitted_by']['user'] = microsoft_graph_identity_user body['returned_by'] = {} body['returned_by']['application'] = application1 body['returned_by']['device'] = device1 body['returned_by']['user'] = user1 body['released_by'] = {} body['released_by']['application'] = application2 body['released_by']['device'] = device2 body['released_by']['user'] = user2 return client.update_submissions(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, body=body) def education_education_user_assignment_submission_create_outcome(client, education_user_id, education_assignment_id, education_submission_id, id_=None, last_modified_date_time=None, application=None, device=None, user=None): body = {} body['id'] = id_ body['last_modified_date_time'] = last_modified_date_time body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user return client.create_outcomes(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, body=body) def education_education_user_assignment_submission_create_resource(client, education_user_id, education_assignment_id, education_submission_id, id_=None, assignment_resource_url=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['assignment_resource_url'] = assignment_resource_url body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.create_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, body=body) def education_education_user_assignment_submission_create_submitted_resource(client, education_user_id, education_assignment_id, education_submission_id, id_=None, assignment_resource_url=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['assignment_resource_url'] = assignment_resource_url body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.create_submitted_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, body=body) def education_education_user_assignment_submission_delete_outcome(client, education_user_id, education_assignment_id, education_submission_id, education_outcome_id, if_match=None): return client.delete_outcomes(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_outcome_id=education_outcome_id, if_match=if_match) def education_education_user_assignment_submission_delete_resource(client, education_user_id, education_assignment_id, education_submission_id, education_submission_resource_id, if_match=None): return client.delete_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, if_match=if_match) def education_education_user_assignment_submission_delete_submitted_resource(client, education_user_id, education_assignment_id, education_submission_id, education_submission_resource_id, if_match=None): return client.delete_submitted_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, if_match=if_match) def education_education_user_assignment_submission_list_outcome(client, education_user_id, education_assignment_id, education_submission_id, orderby=None, select=None, expand=None): return client.list_outcomes(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, orderby=orderby, select=select, expand=expand) def education_education_user_assignment_submission_list_resource(client, education_user_id, education_assignment_id, education_submission_id, orderby=None, select=None, expand=None): return client.list_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, orderby=orderby, select=select, expand=expand) def education_education_user_assignment_submission_list_submitted_resource(client, education_user_id, education_assignment_id, education_submission_id, orderby=None, select=None, expand=None): return client.list_submitted_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, orderby=orderby, select=select, expand=expand) def education_education_user_assignment_submission_return(client, education_user_id, education_assignment_id, education_submission_id): return client.return_method(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id) def education_education_user_assignment_submission_show_outcome(client, education_user_id, education_assignment_id, education_submission_id, education_outcome_id, select=None, expand=None): return client.get_outcomes(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_outcome_id=education_outcome_id, select=select, expand=expand) def education_education_user_assignment_submission_show_resource(client, education_user_id, education_assignment_id, education_submission_id, education_submission_resource_id, select=None, expand=None): return client.get_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, select=select, expand=expand) def education_education_user_assignment_submission_show_submitted_resource(client, education_user_id, education_assignment_id, education_submission_id, education_submission_resource_id, select=None, expand=None): return client.get_submitted_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, select=select, expand=expand) def education_education_user_assignment_submission_submit(client, education_user_id, education_assignment_id, education_submission_id): return client.submit(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id) def education_education_user_assignment_submission_unsubmit(client, education_user_id, education_assignment_id, education_submission_id): return client.unsubmit(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id) def education_education_user_assignment_submission_update_outcome(client, education_user_id, education_assignment_id, education_submission_id, education_outcome_id, id_=None, last_modified_date_time=None, application=None, device=None, user=None): body = {} body['id'] = id_ body['last_modified_date_time'] = last_modified_date_time body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user return client.update_outcomes(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_outcome_id=education_outcome_id, body=body) def education_education_user_assignment_submission_update_resource(client, education_user_id, education_assignment_id, education_submission_id, education_submission_resource_id, id_=None, assignment_resource_url=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['assignment_resource_url'] = assignment_resource_url body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.update_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, body=body) def education_education_user_assignment_submission_update_submitted_resource(client, education_user_id, education_assignment_id, education_submission_id, education_submission_resource_id, id_=None, assignment_resource_url=None, created_by=None, created_date_time=None, display_name=None, last_modified_by=None, last_modified_date_time=None): body = {} body['id'] = id_ body['assignment_resource_url'] = assignment_resource_url body['resource'] = {} body['resource']['created_by'] = created_by body['resource']['created_date_time'] = created_date_time body['resource']['display_name'] = display_name body['resource']['last_modified_by'] = last_modified_by body['resource']['last_modified_date_time'] = last_modified_date_time return client.update_submitted_resources(education_user_id=education_user_id, education_assignment_id=education_assignment_id, education_submission_id=education_submission_id, education_submission_resource_id=education_submission_resource_id, body=body) def education_education_user_class_delta(client, education_user_id): return client.delta(education_user_id=education_user_id) def education_education_user_school_delta(client, education_user_id): return client.delta(education_user_id=education_user_id) def education_education_user_taught_class_delta(client, education_user_id): return client.delta(education_user_id=education_user_id)

56.618759

135

0.449024

16,625

233,609

5.849865

0.013113

0.091163

0.079678

0.067874

0.988926

0.983805

0.974119

0.961328

0.947262

0.929854

0

0.001224

0.496462

233,609

4,125

136

56.632485

0.825548

0.00214

0

0.875828

0

0.069677

0.011093

0

1

0.067605

false

0.003311

0

0.049945

0.13521

0

null

0

1

0

1

0

null

0

7

f0c986b4d2143324e859882ee21c3edfc90c8bff

18,392

py

Python

examples/fewshot/networks/convnet.py

isaykatsman/hyperbolic-image-embeddings

df87de7e752f5207a92c6f524132445836277b06

[ "MIT" ]

null

examples/fewshot/networks/convnet.py

isaykatsman/hyperbolic-image-embeddings

df87de7e752f5207a92c6f524132445836277b06

[ "MIT" ]

null

examples/fewshot/networks/convnet.py

isaykatsman/hyperbolic-image-embeddings

df87de7e752f5207a92c6f524132445836277b06

[ "MIT" ]

null

import torch.nn as nn import hyptorch.nn as hypnn import hyptorch.pmath as pmath # Basic ConvNet with Pooling layer def conv_block(in_channels, out_channels): # removed batchnorm after conv: nn.BatchNorm2d(out_channels), return nn.Sequential( nn.Conv2d(in_channels, out_channels, 3, padding=1), nn.ReLU(), nn.MaxPool2d(2) ) class ConvNet(nn.Module): def __init__(self, x_dim=3, hid_dim=64, z_dim=64): super().__init__() self.encoder = nn.Sequential( conv_block(x_dim, hid_dim), # conv_block(hid_dim, hid_dim), # conv_block(hid_dim, hid_dim), # conv_block(hid_dim, z_dim), ) def forward(self, x): x = self.encoder(x) x = nn.MaxPool2d(5)(x) x = x.view(x.size(0), -1) return x # Basic Hyperbolic ConvNet with Pooling layer class HypConvNetEncoder(nn.Module): def __init__(self, c, x_dim=3, hid_dim=64, z_dim=64, normalization='perchannel'): super().__init__() self.c = c self.normalization = normalization print('refresh here') self.c1 = hypnn.HypConv3(x_dim, hid_dim, 3, c, padding=1, normalization=normalization) # # self.b1 = nn.BatchNorm2d(hid_dim) # # relu and maxpool(2) on forward pass # self.c2 = hypnn.HypConv3(hid_dim, hid_dim, 3, c, padding=1, normalization=normalization) # # self.b2 = nn.BatchNorm2d(hid_dim) # # relu and maxpool(2) on forward pass # self.c3 = hypnn.HypConv3(hid_dim, hid_dim, 3, c, padding=1, normalization=normalization) # # self.b3 = nn.BatchNorm2d(hid_dim) # # relu and maxpool(2) on forward pass # self.c4 = hypnn.HypConv3(hid_dim, z_dim, 3, c, padding=1, normalization=normalization) # # self.b4 = nn.BatchNorm2d(z_dim) def forward(self, x, c=None): if c is None: c = self.c # do proper normalization of euclidean data x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # BLOCK 1 x = self.c1(x, c=c) # batch norm # x = pmath.logmap0(x, c=c) # x = self.b1(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # blocked relu and maxpool 2 # x = pmath.logmap0(x, c=c) # x = nn.ReLU()(x) # x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # separate relu and maxpool 2 x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.ReLU()(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # xbrp = x # print(f'norm after relu: {x.norm(dim=-1, keepdim=True, p=2)[0]}') x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # print(f'norm after projection relu: {x.norm(dim=-1, keepdim=True, p=2)[0]}') # print(f'diff: {xbrp[0]-x[0]}') # print(f'diff sum: {sum(sum(sum(xbrp[0]-x[0])))}') # print(f'x after relu project the same: {xbrp.equal(x)}') x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.MaxPool2d(2)(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # xbpp = x x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # print(f'x after pool project the same: {xbpp.equal(x)}') # # BLOCK 2 # x = self.c2(x, c=c) # # batch norm # # x = pmath.logmap0(x, c=c) # # x = self.b2(x) # # x = pmath.expmap0(x, c=c) # # x = pmath.project(x, c=c) # # blocked relu and maxpool 2 # # x = pmath.logmap0(x, c=c) # # x = nn.ReLU()(x) # # x = nn.MaxPool2d(2)(x) # # x = pmath.expmap0(x, c=c) # # x = pmath.project(x, c=c) # # separate relu and maxpool 2 # x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = nn.ReLU()(x) # x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # # BLOCK 3 # x = self.c3(x, c=c) # # batch norm # # x = pmath.logmap0(x, c=c) # # x = self.b3(x) # # x = pmath.expmap0(x, c=c) # # x = pmath.project(x, c=c) # # blocked relu and maxpool 2 # # x = pmath.logmap0(x, c=c) # # x = nn.ReLU()(x) # # x = nn.MaxPool2d(2)(x) # # x = pmath.expmap0(x, c=c) # # x = pmath.project(x, c=c) # # separate relu and maxpool 2 # x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = nn.ReLU()(x) # x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # # BLOCK 4 # x = self.c4(x, c=c) # # batch norm # # x = pmath.logmap0(x, c=c) # # x = self.b4(x) # # x = pmath.expmap0(x, c=c) # # x = pmath.project(x, c=c) # # blocked relu and maxpool 2 # # x = pmath.logmap0(x, c=c) # # x = nn.ReLU()(x) # # x = nn.MaxPool2d(2)(x) # # x = pmath.expmap0(x, c=c) # # x = pmath.project(x, c=c) # # separate relu and maxpool 2 # x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = nn.ReLU()(x) # x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # final pool x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.MaxPool2d(5)(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # print(x.size()), currently N x 512 x 1 x 1 # currently I believe this step may mess with the geometry # what would be a natural replacement? A: view as eucl vector, then do expmap to go back to hyperbolic space x = x.view(x.size(0), -1) x = pmath.expmap0(x, c=c) x = pmath.project(x, c=c) return x # Basic Hyperbolic ConvNet with Pooling layer class HypConvNetEncoderOnlyHypBias(nn.Module): def __init__(self, c, x_dim=3, hid_dim=64, z_dim=64, normalization='perchannel'): super().__init__() self.c = c self.normalization = normalization # print('getting here') self.c1 = hypnn.HypConv(x_dim, hid_dim, 3, c, padding=1, normalization=normalization) # self.b1 = nn.BatchNorm2d(hid_dim) # relu and maxpool(2) on forward pass self.c2 = hypnn.HypConv(hid_dim, hid_dim, 3, c, padding=1, normalization=normalization) # self.b2 = nn.BatchNorm2d(hid_dim) # relu and maxpool(2) on forward pass self.c3 = hypnn.HypConv(hid_dim, hid_dim, 3, c, padding=1, normalization=normalization) # self.b3 = nn.BatchNorm2d(hid_dim) # relu and maxpool(2) on forward pass self.c4 = hypnn.HypConv(hid_dim, z_dim, 3, c, padding=1, normalization=normalization) # self.b4 = nn.BatchNorm2d(z_dim) def forward(self, x, c=None): if c is None: c = self.c # do proper normalization of euclidean data x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # BLOCK 1 x = self.c1(x, c=c) # batch norm # x = pmath.logmap0(x, c=c) # x = self.b1(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # blocked relu and maxpool 2 # x = pmath.logmap0(x, c=c) # x = nn.ReLU()(x) # x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # separate relu and maxpool 2 x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.ReLU()(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # xbrp = x # print(f'norm after relu: {x.norm(dim=-1, keepdim=True, p=2)[0]}') x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # print(f'norm after projection relu: {x.norm(dim=-1, keepdim=True, p=2)[0]}') # print(f'diff: {xbrp[0]-x[0]}') # print(f'diff sum: {sum(sum(sum(xbrp[0]-x[0])))}') # print(f'x after relu project the same: {xbrp.equal(x)}') x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.MaxPool2d(2)(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # xbpp = x x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # print(f'x after pool project the same: {xbpp.equal(x)}') # BLOCK 2 x = self.c2(x, c=c) # batch norm # x = pmath.logmap0(x, c=c) # x = self.b2(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # blocked relu and maxpool 2 # x = pmath.logmap0(x, c=c) # x = nn.ReLU()(x) # x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # separate relu and maxpool 2 x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.ReLU()(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.MaxPool2d(2)(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # BLOCK 3 x = self.c3(x, c=c) # batch norm # x = pmath.logmap0(x, c=c) # x = self.b3(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # blocked relu and maxpool 2 # x = pmath.logmap0(x, c=c) # x = nn.ReLU()(x) # x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # separate relu and maxpool 2 x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.ReLU()(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.MaxPool2d(2)(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # BLOCK 4 x = self.c4(x, c=c) # batch norm # x = pmath.logmap0(x, c=c) # x = self.b4(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # blocked relu and maxpool 2 # x = pmath.logmap0(x, c=c) # x = nn.ReLU()(x) # x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # separate relu and maxpool 2 x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.ReLU()(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.MaxPool2d(2)(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # final pool x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.MaxPool2d(5)(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # print(x.size()), currently N x 512 x 1 x 1 # currently I believe this step may mess with the geometry # what would be a natural replacement? A: view as eucl vector, then do expmap to go back to hyperbolic space x = x.view(x.size(0), -1) # x = pmath.expmap0(x, c=c) x = pmath.project(x, c=c) return x # Encoder with some hyperbolic layers class EncoderWithSomeHyperbolic(nn.Module): def __init__(self, c, x_dim=3, hid_dim=64, z_dim=64, args=None): super().__init__() self.c = c print(f'encoder with some hyperbolic') self.c1 = nn.Conv2d(x_dim, hid_dim, 3, padding=1) # self.b1 = nn.BatchNorm2d(hid_dim) # relu and maxpool(2) on forward pass self.c2 = nn.Conv2d(hid_dim, hid_dim, 3, padding=1) # self.b2 = nn.BatchNorm2d(hid_dim) # relu and maxpool(2) on forward pass self.c3 = nn.Conv2d(hid_dim, 10, 3, padding=1) # hid_dim # self.b3 = nn.BatchNorm2d(hid_dim) # relu and maxpool(2) on forward pass self.c4 = hypnn.HypConv3(10, 10, 3, c, padding=1) # hid_dim, z_dim # self.b4 = nn.BatchNorm2d(z_dim) self.e2p = hypnn.ToPoincare(c=args.c, train_c=args.train_c, train_x=args.train_x) def get_c(self): return self.e2p.c def forward(self, x, c=None): if c is None: c = self.c # BLOCK 1 x = self.c1(x) # batch norm # x = pmath.logmap0(x, c=c) # x = self.b1(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # blocked relu and maxpool 2 # x = pmath.logmap0(x, c=c) # x = nn.ReLU()(x) # x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # separate relu and maxpool 2 # x = pmath.logmap0(x, c=c) x = nn.ReLU()(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # x = pmath.logmap0(x, c=c) x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # BLOCK 2 x = self.c2(x) # batch norm # x = pmath.logmap0(x, c=c) # x = self.b2(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # blocked relu and maxpool 2 # x = pmath.logmap0(x, c=c) # x = nn.ReLU()(x) # x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # separate relu and maxpool 2 # x = pmath.logmap0(x, c=c) x = nn.ReLU()(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # x = pmath.logmap0(x, c=c) x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # BLOCK 3 x = self.c3(x) # batch norm # x = pmath.logmap0(x, c=c) # x = self.b3(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # blocked relu and maxpool 2 # x = pmath.logmap0(x, c=c) # x = nn.ReLU()(x) # x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # separate relu and maxpool 2 # x = pmath.logmap0(x, c=c) x = nn.ReLU()(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # x = pmath.logmap0(x, c=c) x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # BLOCK 4, to hyperbolic x = self.e2p(x) x = self.c4(x, c=c) # batch norm # x = pmath.logmap0(x, c=c) # x = self.b4(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # blocked relu and maxpool 2 # x = pmath.logmap0(x, c=c) # x = nn.ReLU()(x) # x = nn.MaxPool2d(2)(x) # x = pmath.expmap0(x, c=c) # x = pmath.project(x, c=c) # separate relu and maxpool 2 x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.ReLU()(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.MaxPool2d(2)(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # final pool x = pmath.logmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = nn.MaxPool2d(5)(x) x = pmath.expmap0(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) x = pmath.project(x.view(x.size(0) * x.size(1), -1), c=c).view(x.size()) # print(x.size()), currently N x 512 x 1 x 1 # currently I believe this step may mess with the geometry # what would be a natural replacement? A: view as eucl vector, then do expmap to go back to hyperbolic space x = x.view(x.size(0), -1) x = pmath.expmap0(x, c=c) x = pmath.project(x, c=c) return x

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Python

minos/tests/vcf_chunker_test.py

rmcolq/minos

1c5a8e178f95db63194ded75c608fe15ae059474

[ "MIT" ]

null

minos/tests/vcf_chunker_test.py

rmcolq/minos

1c5a8e178f95db63194ded75c608fe15ae059474

[ "MIT" ]

null

minos/tests/vcf_chunker_test.py

rmcolq/minos

1c5a8e178f95db63194ded75c608fe15ae059474

[ "MIT" ]

null

import filecmp import shutil import os import unittest import cluster_vcf_records from minos import vcf_chunker modules_dir = os.path.dirname(os.path.abspath(vcf_chunker.__file__)) data_dir = os.path.join(modules_dir, 'tests', 'data', 'vcf_chunker') class TestVcfChunker(unittest.TestCase): def test_total_variants_and_alleles_in_vcf_dict(self): '''test _total_variants_and_alleles_in_vcf_dict''' class FakeVcf: def __init__(self, alt): self.ALT = alt test_dict = { 'chrom1': [FakeVcf('123'), FakeVcf('1'), FakeVcf('123456789')], 'chrom2': [FakeVcf('12'), FakeVcf('1234')]} expect_variants = 5 expect_alleles = 24 got_variants, got_alleles = vcf_chunker.VcfChunker._total_variants_and_alleles_in_vcf_dict(test_dict) self.assertEqual(expect_variants, got_variants) self.assertEqual(expect_alleles, got_alleles) def test_chunk_end_indexes_from_vcf_record_list(self): '''test _chunk_end_indexes_from_vcf_record_list''' record_list = [ cluster_vcf_records.vcf_record.VcfRecord('ref\t1\t.\tA\tG\t.\t.\t.\t.'), cluster_vcf_records.vcf_record.VcfRecord('ref\t2\t.\tC\tT,A,G,TA\t.\t.\t.\t.'), cluster_vcf_records.vcf_record.VcfRecord('ref\t3\t.\tT\tA,C\t.\t.\t.\t.'), cluster_vcf_records.vcf_record.VcfRecord('ref\t5\t.\tAGAGTCACGTA\tG\t.\t.\t.\t.'), cluster_vcf_records.vcf_record.VcfRecord('ref\t18\t.\tA\tG\t.\t.\t.\t.'), cluster_vcf_records.vcf_record.VcfRecord('ref\t21\t.\tG\tT\t.\t.\t.\t.'), ] self.assertEqual((0, 0, 1), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_alleles=1)) self.assertEqual((0, 0, 1), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_alleles=2)) self.assertEqual((0, 0, 1), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_alleles=3)) self.assertEqual((0, 0, 1), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_alleles=4)) self.assertEqual((0, 0, 1), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_alleles=5)) self.assertEqual((0, 0, 1), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_alleles=6)) self.assertEqual((0, 1, 2), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_alleles=7)) self.assertEqual((0, 1, 2), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_alleles=8)) self.assertEqual((0, 1, 2), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_alleles=9)) self.assertEqual((0, 2, 2), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_alleles=10)) self.assertEqual((0, 2, 2), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_alleles=11)) self.assertEqual((0, 3, 3), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_alleles=12)) self.assertEqual((0, 0, 1), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_sites=1)) self.assertEqual((0, 1, 2), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_sites=2)) self.assertEqual((0, 2, 2), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_sites=3)) self.assertEqual((0, 3, 3), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_sites=4)) self.assertEqual((0, 4, 4), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_sites=5)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_sites=6)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_sites=7)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 1, total_sites=8)) self.assertEqual((0, 0, 2), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 2, total_sites=1)) self.assertEqual((0, 1, 2), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 2, total_sites=2)) self.assertEqual((0, 2, 3), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 2, total_sites=3)) self.assertEqual((0, 3, 3), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 2, total_sites=4)) self.assertEqual((0, 4, 4), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 2, total_sites=5)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 2, total_sites=6)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 2, total_sites=7)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 2, total_sites=8)) self.assertEqual((0, 0, 2), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 3, total_sites=1)) self.assertEqual((0, 1, 3), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 3, total_sites=2)) self.assertEqual((0, 2, 3), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 3, total_sites=3)) self.assertEqual((0, 3, 4), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 3, total_sites=4)) self.assertEqual((0, 4, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 3, total_sites=5)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 3, total_sites=6)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 3, total_sites=7)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 3, total_sites=8)) self.assertEqual((0, 0, 3), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 4, total_sites=1)) self.assertEqual((0, 1, 3), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 4, total_sites=2)) self.assertEqual((0, 2, 3), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 4, total_sites=3)) self.assertEqual((0, 3, 4), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 4, total_sites=4)) self.assertEqual((0, 4, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 4, total_sites=5)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 4, total_sites=6)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 4, total_sites=7)) self.assertEqual((0, 1, 2), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 1, 1, total_sites=1)) self.assertEqual((0, 1, 2), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 1, 2, total_sites=1)) self.assertEqual((0, 1, 3), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 1, 3, total_sites=1)) self.assertEqual((0, 1, 3), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 1, 15, total_sites=1)) self.assertEqual((0, 1, 4), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 1, 16, total_sites=1)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 1, 1, total_sites=6)) self.assertEqual((4, 4, 4), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 4, 1, total_sites=1)) self.assertEqual((4, 4, 4), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 4, 2, total_sites=1)) self.assertEqual((3, 4, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 4, 3, total_sites=1)) self.assertEqual((4, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 4, 1, total_sites=2)) self.assertEqual((5, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 5, 1, total_sites=1)) self.assertEqual((5, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 5, 1, total_sites=2)) self.assertEqual((5, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 5, 2, total_sites=2)) self.assertEqual((4, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 5, 3, total_sites=2)) self.assertEqual((4, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 5, 4, total_sites=2)) self.assertEqual((4, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 5, 5, total_sites=2)) self.assertEqual((3, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 5, 6, total_sites=2)) self.assertEqual((3, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 5, 7, total_sites=2)) self.assertEqual((3, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 5, 17, total_sites=2)) self.assertEqual((2, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 5, 18, total_sites=2)) self.assertEqual((1, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 5, 19, total_sites=2)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 5, 20, total_sites=2)) self.assertEqual((0, 5, 5), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 5, 21, total_sites=2)) # These records caused minos error because variant at 800 # was included in the last split file, but the use_end_index was at # position of the variant at 610. So the one at 800 was not getting used. record_list = [ cluster_vcf_records.vcf_record.VcfRecord('ref\t75\t.\tA\tG\t.\t.\t.\t.'), cluster_vcf_records.vcf_record.VcfRecord('ref\t150\t.\tG\tA,T\t.\t.\t.\t.'), cluster_vcf_records.vcf_record.VcfRecord('ref\t450\t.\tT\tC\t.\t.\t.\t.'), cluster_vcf_records.vcf_record.VcfRecord('ref\t610\t.\tA\tG\t.\t.\t.\t.'), cluster_vcf_records.vcf_record.VcfRecord('ref\t800\t.\tC\tCA\t.\t.\t.\t.'), ] self.assertEqual((0, 1, 1), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 0, 100, total_sites=2)) self.assertEqual((2, 3, 3), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 2, 100, total_sites=2)) self.assertEqual((4, 4, 4), vcf_chunker.VcfChunker._chunk_end_indexes_from_vcf_record_list(record_list, 4, 100, total_sites=2)) def test_make_split_files(self): '''test make_split_files''' infile = os.path.join(data_dir, 'make_split_files.in.vcf') tmp_out = 'tmp.vcf_chunker.make_split_files' ref_fa = os.path.join(data_dir, 'make_split_files.in.ref.fa') if os.path.exists(tmp_out): shutil.rmtree(tmp_out) vcf1 = cluster_vcf_records.vcf_record.VcfRecord('ref1\t1\t.\tG\tT\t.\tPASS\t.\t.\t.') vcf2 = cluster_vcf_records.vcf_record.VcfRecord('ref1\t2\t.\tC\tT\t.\tPASS\t.\t.\t.') vcf3 = cluster_vcf_records.vcf_record.VcfRecord('ref1\t3\t.\tT\tA\t.\tPASS\t.\t.\t.') vcf4 = cluster_vcf_records.vcf_record.VcfRecord('ref1\t5\t.\tAGAGTCACGTA\tG\t.\tPASS\t.\t.\t.') vcf5 = cluster_vcf_records.vcf_record.VcfRecord('ref1\t18\t.\tA\tG\t.\tPASS\t.\t.\t.') vcf6 = cluster_vcf_records.vcf_record.VcfRecord('ref1\t21\t.\tG\tT\t.\tPASS\t.\t.\t.') vcf7 = cluster_vcf_records.vcf_record.VcfRecord('ref2\t42\t.\tC\tG\t.\tPASS\t.\t.\t.') header_lines = ['##header1', '##header2', '#CHROM\tPOS\tID\tREF\tALT\tQUAL\tFILTER\tINFO\tFORMAT\tsample_name'] chunker = vcf_chunker.VcfChunker(tmp_out, vcf_infile=infile, ref_fasta=ref_fa, variants_per_split=2, flank_length=1, gramtools_kmer_size=5) chunker.make_split_files() self.assertTrue(os.path.exists(chunker.metadata_pickle)) got_header, got_records = cluster_vcf_records.vcf_file_read.vcf_file_to_list(os.path.join(tmp_out, 'split.0.in.vcf')) self.assertEqual(header_lines, got_header) self.assertEqual([vcf1, vcf2, vcf3], got_records) got_header, got_records = cluster_vcf_records.vcf_file_read.vcf_file_to_list(os.path.join(tmp_out, 'split.1.in.vcf')) self.assertEqual(header_lines, got_header) self.assertEqual([vcf2, vcf3, vcf4], got_records) got_header, got_records = cluster_vcf_records.vcf_file_read.vcf_file_to_list(os.path.join(tmp_out, 'split.2.in.vcf')) self.assertEqual(header_lines, got_header) self.assertEqual([vcf5, vcf6], got_records) got_header, got_records = cluster_vcf_records.vcf_file_read.vcf_file_to_list(os.path.join(tmp_out, 'split.3.in.vcf')) self.assertEqual(header_lines, got_header) self.assertEqual([vcf7], got_records) self.assertFalse(os.path.exists(os.path.join(tmp_out, 'split.4.in.vcf'))) shutil.rmtree(tmp_out) chunker = vcf_chunker.VcfChunker(tmp_out, vcf_infile=infile, ref_fasta=ref_fa, variants_per_split=4, flank_length=3, gramtools_kmer_size=5) chunker.make_split_files() self.assertTrue(os.path.exists(chunker.metadata_pickle)) got_header, got_records = cluster_vcf_records.vcf_file_read.vcf_file_to_list(os.path.join(tmp_out, 'split.0.in.vcf')) self.assertEqual(header_lines, got_header) self.assertEqual([vcf1, vcf2, vcf3, vcf4, vcf5], got_records) got_header, got_records = cluster_vcf_records.vcf_file_read.vcf_file_to_list(os.path.join(tmp_out, 'split.1.in.vcf')) self.assertEqual(header_lines, got_header) self.assertEqual([vcf4, vcf5, vcf6], got_records) got_header, got_records = cluster_vcf_records.vcf_file_read.vcf_file_to_list(os.path.join(tmp_out, 'split.2.in.vcf')) self.assertEqual(header_lines, got_header) self.assertEqual([vcf7], got_records) self.assertFalse(os.path.exists(os.path.join(tmp_out, 'split.3.in.vcf'))) chunker2 = vcf_chunker.VcfChunker(tmp_out, gramtools_kmer_size=5) self.assertEqual(chunker.vcf_infile,chunker2.vcf_infile) self.assertEqual(chunker.ref_fasta,chunker2.ref_fasta) self.assertEqual(chunker.variants_per_split,chunker2.variants_per_split) self.assertEqual(chunker.total_splits,chunker2.total_splits) self.assertEqual(chunker.flank_length,chunker2.flank_length) self.assertEqual(chunker.gramtools_kmer_size,chunker2.gramtools_kmer_size) self.assertEqual(chunker.max_read_length,chunker2.max_read_length) self.assertEqual(chunker.total_split_files,chunker2.total_split_files) self.assertEqual(chunker.vcf_split_files,chunker2.vcf_split_files) shutil.rmtree(tmp_out) def test_make_split_files_2(self): '''test make_split_files with different input from previous test''' # These records cause a minos bug. Last record was not being used # when merging because the index was wrong. # They are test data from multi_sample_pipeline tests infile = os.path.join(data_dir, 'make_split_files2.in.vcf') tmp_out = 'tmp.vcf_chunker.make_split_files2' ref_fa = os.path.join(data_dir, 'make_split_files2.in.ref.fa') if os.path.exists(tmp_out): shutil.rmtree(tmp_out) chunker = vcf_chunker.VcfChunker(tmp_out, vcf_infile=infile, ref_fasta=ref_fa, variants_per_split=2, flank_length=200, gramtools_kmer_size=5) chunker.make_split_files() self.assertTrue(os.path.exists(chunker.metadata_pickle)) chunker2 = vcf_chunker.VcfChunker(tmp_out, gramtools_kmer_size=5) self.assertEqual(1, len(chunker2.vcf_split_files)) self.assertEqual(3, len(chunker2.vcf_split_files['ref.0'])) self.assertEqual(4, chunker2.vcf_split_files['ref.0'][-1].use_end_index) shutil.rmtree(tmp_out) # Test with two threads chunker = vcf_chunker.VcfChunker(tmp_out, vcf_infile=infile, ref_fasta=ref_fa, variants_per_split=2, flank_length=200, threads=2, gramtools_kmer_size=5) chunker.make_split_files() self.assertTrue(os.path.exists(chunker.metadata_pickle)) chunker2 = vcf_chunker.VcfChunker(tmp_out, gramtools_kmer_size=5) self.assertEqual(1, len(chunker2.vcf_split_files)) self.assertEqual(3, len(chunker2.vcf_split_files['ref.0'])) self.assertEqual(4, chunker2.vcf_split_files['ref.0'][-1].use_end_index) shutil.rmtree(tmp_out) def test_merge_files(self): '''test merge_files''' vcf_to_split = os.path.join(data_dir, 'merge_files.in.vcf') ref_fasta = os.path.join(data_dir, 'merge_files.in.ref.fa') tmp_outdir = 'tmp.vcf_chunker.merge_files' chunker = vcf_chunker.VcfChunker(tmp_outdir, vcf_infile=vcf_to_split, ref_fasta=ref_fasta, variants_per_split=4, flank_length=3, gramtools_kmer_size=5) chunker.make_split_files() to_merge = {} for ref, split_list in chunker.vcf_split_files.items(): to_merge[ref] = [x.filename for x in split_list] tmp_vcf_out = 'tmp.vcf_chunker.merge_files.out.vcf' chunker.merge_files(to_merge, tmp_vcf_out) self.assertTrue(filecmp.cmp(vcf_to_split, tmp_vcf_out, shallow=False)) os.unlink(tmp_vcf_out) shutil.rmtree(tmp_outdir)

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0.734238

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18,430

4.306306

0.068954

0.114258

0.125523

0.108545

0.843579

0.823865

0.804715

0.777599

0.760621

0.733505

0

0.037623

0.141888

18,430

250

161

73.72

0.748214

0.030657

0

0.218274

0

0.005076

0.063257

0.050191

0

0.543147

1

0.030457

false

0.035533

0.030457

0

0.071066

0

null

0

1

0

null

0

1

0

7

0b0d460a662fab8bcdf5a101a2a1c3fd1cd6c6d8

3,018

py

Python

models/loss_1.py

chaseshen-ai/DCL

d3e4a4434908f6cdf8b8590fc89402997cfb478b

[ "Apache-2.0" ]

null

models/loss_1.py

chaseshen-ai/DCL

d3e4a4434908f6cdf8b8590fc89402997cfb478b

[ "Apache-2.0" ]

null

models/loss_1.py

chaseshen-ai/DCL

d3e4a4434908f6cdf8b8590fc89402997cfb478b

[ "Apache-2.0" ]

null

import torch import torch.nn as nn import torch.nn.functional as F class Loss_2(nn.Module): # 1d and 2d def __init__(self, gamma=2, size_average=True): super(Loss_2, self).__init__() self.gamma = gamma self.size_average = size_average def forward(self, logit, target, brand_prob=None, class_weight=None, type='softmax'): target = target.view(-1, 1).long() if type == 'sigmoid': if class_weight is None: class_weight = [1] * 2 # [0.5, 0.5] prob = torch.sigmoid(logit) prob = prob.view(-1, 1) prob = torch.cat((1 - prob, prob), 1) select = torch.FloatTensor(len(prob), 2).zero_().cuda() select.scatter_(1, target, 1.) elif type == 'softmax': B, C = logit.size() if class_weight is None: class_weight = [1] * C # [1/C]*C # logit = logit.permute(0, 2, 3, 1).contiguous().view(-1, C) prob = F.softmax(logit, 1) select = torch.FloatTensor(len(prob), C).zero_().cuda() select.scatter_(1, target, 1.) probs = torch.gather(prob, 1, target) prob = (prob * select).sum(1).view(-1, 1) prob = torch.clamp(prob, 1e-8, 1 - 1e-8) # 前一个的概率 if brand_prob is not None: prob = prob*brand_prob batch_loss = - prob.log() if self.size_average: loss = batch_loss.mean() else: loss = batch_loss return loss, prob class Loss_1(nn.Module): #1d and 2d def __init__(self, gamma=2, size_average=True): super(Loss_1, self).__init__() self.gamma = gamma self.size_average = size_average def forward(self, logit, target, brand_prob=None,class_weight=None, type='softmax'): target = target.view(-1, 1).long() if type=='sigmoid': if class_weight is None: class_weight = [1]*2 #[0.5, 0.5] prob = torch.sigmoid(logit) prob = prob.view(-1, 1) prob = torch.cat((1-prob, prob), 1) select = torch.FloatTensor(len(prob), 2).zero_().cuda() select.scatter_(1, target, 1.) elif type=='softmax': B,C = logit.size() if class_weight is None: class_weight =[1]*C #[1/C]*C #logit = logit.permute(0, 2, 3, 1).contiguous().view(-1, C) prob = F.softmax(logit,1) select = torch.FloatTensor(len(prob), C).zero_().cuda() select.scatter_(1, target, 1.) probs = torch.gather(prob, 1, target) prob = (prob*select).sum(1).view(-1,1) prob = torch.clamp(prob,1e-8,1-1e-8) batch_loss = - prob.log() if brand_prob is not None: batch_loss=batch_loss*brand_prob if self.size_average: loss = batch_loss.mean() else: loss = batch_loss return loss,prob

30.795918

89

0.530152

402

3,018

3.830846

0.159204

0.071429

0.058442

0.038961

0.918182

0.897403

0.871429

0

0.038845

0.334659

3,018

97

90

31.113402

0.728088

0.060305

0

0.869565

0

0.014867

0

1

0.057971

false

0

0.043478

0

0.15942

0

null

0

1

0

1

0

null

0

7

0b129649c390f2b3b414c0c7b92803b4daa9c400

2,094

py

Python

test/functions/decorators2.py

kylebarron/MagicPython

da6fa0793e2c85d3bf7709ff1d4f65ccf468db11

[ "MIT" ]

1,482

2015-10-16T21:59:32.000Z

2022-03-30T11:44:40.000Z

test/functions/decorators2.py

kylebarron/MagicPython

da6fa0793e2c85d3bf7709ff1d4f65ccf468db11

[ "MIT" ]

226

2015-10-15T15:53:44.000Z

2022-03-25T03:08:27.000Z

test/functions/decorators2.py

kylebarron/MagicPython

da6fa0793e2c85d3bf7709ff1d4f65ccf468db11

[ "MIT" ]

129

2015-10-20T02:41:49.000Z

2022-03-22T01:44:36.000Z

@ f . bar . a . b def foo(): pass @ : entity.name.function.decorator.python, meta.function.decorator.python, punctuation.definition.decorator.python, source.python : meta.function.decorator.python, source.python f : entity.name.function.decorator.python, meta.function.decorator.python, source.python : meta.function.decorator.python, source.python . : entity.name.function.decorator.python, meta.function.decorator.python, punctuation.separator.period.python, source.python : meta.function.decorator.python, source.python bar : entity.name.function.decorator.python, meta.function.decorator.python, source.python : meta.function.decorator.python, source.python . : entity.name.function.decorator.python, meta.function.decorator.python, punctuation.separator.period.python, source.python : meta.function.decorator.python, source.python a : entity.name.function.decorator.python, meta.function.decorator.python, source.python : meta.function.decorator.python, source.python . : entity.name.function.decorator.python, meta.function.decorator.python, punctuation.separator.period.python, source.python : meta.function.decorator.python, source.python b : entity.name.function.decorator.python, meta.function.decorator.python, source.python def : meta.function.python, source.python, storage.type.function.python : meta.function.python, source.python foo : entity.name.function.python, meta.function.python, source.python ( : meta.function.parameters.python, meta.function.python, punctuation.definition.parameters.begin.python, source.python ) : meta.function.parameters.python, meta.function.python, punctuation.definition.parameters.end.python, source.python : : meta.function.python, punctuation.section.function.begin.python, source.python : source.python pass : keyword.control.flow.python, source.python

72.206897

141

0.699618

229

2,094

6.39738

0.117904

0.245734

0.361092

0.276451

0.892833

0.840273

0.792491

0

0.191022

2,094

28

142

74.785714

0.864817

0

0.4

0

null

0.08

0

null

0

null

1

0

null

0

1

0

1

0

11

9bf634b58e11c4cb3b88fcfc9cccb9d2831a2122

4,211

py

Python

gpstrack/tracks/tests/test_views.py

ETinLV/gpstrack

21991d3977c9692b92ddd3d95d4b6cd0ed8ccd9f

[ "MIT" ]

null

gpstrack/tracks/tests/test_views.py

ETinLV/gpstrack

21991d3977c9692b92ddd3d95d4b6cd0ed8ccd9f

[ "MIT" ]

null

gpstrack/tracks/tests/test_views.py

ETinLV/gpstrack

21991d3977c9692b92ddd3d95d4b6cd0ed8ccd9f

[ "MIT" ]

null

import json from django.urls import reverse from model_mommy import mommy from test_plus.test import TestCase from config.settings.base import GOOGLE_API_KEY class UserMapViewTest(TestCase): def setUp(self): self.point = mommy.make('tracks.point') self.url = reverse('tracks:user_map', kwargs={'map_name': self.point.track.user.username}) def test_MapView(self): response = self.client.get(self.url) assert 200 == response.status_code assert response.context_data['map_name'] == self.point.track.user.username assert response.context_data['api_key'] == GOOGLE_API_KEY class TrackListTest(TestCase): def setUp(self): self.track = mommy.make('tracks.track') self.url = reverse('tracks:api.track_list', kwargs={'map_name': self.track.user.username}) def test_track_list_get(self): response = self.client.get(self.url) assert 200 == response.status_code class TrackDetailTest(TestCase): def setUp(self): self.user = self.make_user() self.track = mommy.make('tracks.track', user=self.user) self.url = reverse('tracks:api.track_detail', kwargs={'map_name': self.user.username, 'pk': self.track.pk}) def test_track_detail_get(self): response = self.client.get(self.url) assert 200 == response.status_code def test_track_detail_authorized_patch(self): self.client.login(username=self.user.username, password='password') request = self.client.patch(self.url, data=json.dumps({'name': 'Updated name'}), content_type='application/json') assert 200 == request.status_code def test_track_detail_authorized_delete(self): self.client.login(username=self.user.username, password='password') request = self.client.delete(self.url) assert 204 == request.status_code def test_track_detail_unauthorized_patch(self): request = self.client.patch(self.url, data=json.dumps({'name': 'Updated name'}), content_type='application/json') assert 403 == request.status_code def test_track_detail_unauthorized_delete(self): request = self.client.delete(self.url) assert 403 == request.status_code class PointListTest(TestCase): def setUp(self): self.track = mommy.make('tracks.track') self.point = mommy.make('tracks.point', track=self.track) self.url = reverse('tracks:api.point_list', kwargs={'map_name': self.track.user.username, 'track_pk': self.track.pk}) def test_point_list_get(self): response = self.client.get(self.url) assert 200 == response.status_code class PointDetailTest(TestCase): def setUp(self): self.user = self.make_user() self.track = mommy.make('tracks.track', user=self.user) self.point = mommy.make('tracks.point', track=self.track) self.url = reverse('tracks:api.point_detail', kwargs={'map_name': self.user.username, 'pk': self.point.pk}) def test_point_detail_get(self): response = self.client.get(self.url) assert 200 == response.status_code def test_point_detail_authorized_patch(self): self.client.login(username=self.user.username, password='password') request = self.client.patch(self.url, data=json.dumps({'description': 'Updated Desc'}), content_type='application/json') assert 200 == request.status_code def test_point_detail_authorized_delete(self): self.client.login(username=self.user.username, password='password') request = self.client.delete(self.url) assert 204 == request.status_code def test_point_detail_unauthorized_patch(self): request = self.client.patch(self.url, data=json.dumps({'description': 'Updated Desc'}), content_type='application/json') assert 403 == request.status_code def test_point_detail_unauthorized_delete(self): request = self.client.delete(self.url) assert 403 == request.status_code

39.35514

100

0.657326

524

4,211

5.120229

0.124046

0.046962

0.043608

0.05069

0.863958

0.851286

0.809914

0.777861

0.74208

0.711517

0

0.011919

0.222987

4,211

106

101

39.726415

0.808068

0

0.580247

0

0.101639

0.020898

0

0.185185

1

0.222222

false

0.049383

0.061728

0

0.345679

0

null

0

1

0

null

0

1

0

7

ac987caf3b7ccd86eac2427e3df6badd8ab4ce3b

5,406

py

Python

workflow_lib/septwq.py

VUB-HYDR/2018_Chawanda_etal

46af26916806e2f61fd48d777f88b04da7fffbbe

[ "MIT" ]

14

2018-09-27T16:03:10.000Z

2021-04-15T06:09:21.000Z

workflow_lib/septwq.py

VUB-HYDR/2018_Chawanda_etal

46af26916806e2f61fd48d777f88b04da7fffbbe

[ "MIT" ]

2

2019-10-24T14:03:41.000Z

2019-10-31T22:10:19.000Z

workflow_lib/septwq.py

VUB-HYDR/2018_Chawanda_etal

46af26916806e2f61fd48d777f88b04da7fffbbe

[ "MIT" ]

7

2018-11-14T19:42:59.000Z

2021-08-16T07:09:50.000Z

import cj_function_lib as cj import init_file as variables septwq = """ !!Variablesinorder: idspttype (Septic type (1-conventional,2-advanced,3-failing) Q,BOD,TSS,TN,NH4,N03,NO2,OrgN,TP,Po4, Org P,F.Coli 1 2 3 4 5 6 7 8 1 COND Conventional Drainfield 1 0.227 170.000 75.000 60.000 58.000 0.200 0.000 14.000 10.000 9.000 1.000 10000000.0 2 SAS1 Septic w/SAS 2 0.227 170.000 75.000 70.000 60.000 0.000 0.000 10.000 10.000 8.500 1.500 10000000.0 3 SAS2 Septic w/SAS 2 0.227 170.000 75.000 70.000 0.000 0.000 0.000 0.000 10.000 9.000 1.000 10000000.0 4 SAS3 Septic w/in-tank N removal and SAS 2 0.227 170.000 80.000 20.000 0.000 20.000 0.000 0.000 10.000 8.500 1.500 1000000.0 5 SAS4 Septic tank w/effluent N removal and recycle 2 0.227 100.000 65.000 20.000 0.000 0.000 0.000 10.000 0.000 8.500 1.500 10000000.0 6 SAS5 Septic w/corrugated plastic trickling filter 2 0.227 20.000 10.000 7.700 2.400 7.100 0.000 0.000 0.000 0.000 0.000 0.0 7 SAS6 Septic w/single pass sand filter 2 0.227 18.000 17.000 11.000 5.600 4.100 0.000 1.300 0.000 0.000 0.000 0.0 8 SPF1 Single pass sand filter 2 0.227 3.500 2.000 38.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 360.0 9 SPF2 Single pass sand filter 2 0.227 3.200 9.000 30.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 407.0 10 SPF3 Single pass sand filter 2 0.227 4.000 17.000 37.500 0.000 0.000 0.000 14.100 12.000 12.000 2.100 862.0 11 SPF4 Single pass sand filter 2 0.227 75.100 29.100 15.500 10.600 0.300 0.000 4.600 0.000 0.000 0.000 0.0 12 RCF1 At grade recirculating sand filter 2 0.227 3.500 3.500 13.500 0.000 0.000 0.000 0.000 0.000 0.000 0.000 2920.0 13 RCF2 Maryland style RSF 2 0.227 5.000 6.500 30.500 0.000 0.000 0.000 0.000 0.000 0.000 0.000 3030.0 14 RCF3 Recirulating sand filter 2 0.227 11.500 13.500 26.500 5.500 29.000 0.000 0.000 0.000 0.000 0.900 57000.0 15 CWT1 Septic tank w/constructed wetland and surface water discharge 2 0.227 26.500 12.000 38.000 0.000 0.000 0.000 0.000 0.750 0.000 0.110 968.0 16 CWT2 Municipal wastewater w/constructed wetland and surface water discharge 2 0.227 27.000 15.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.0 17 CWT3 Municipal wastewater w/constructed wetland and surface water discharge 2 0.227 0.000 4.200 0.000 0.860 0.000 0.000 0.000 0.240 0.000 0.040 77.0 18 CWT4 Municipal wastewater w/constructed wetland 2 0.227 7.500 14.000 0.000 3.290 0.000 0.000 0.000 0.000 0.000 0.000 0.0 19 CWT5 Municipal wastewater w/lagoon and constructed wetland 2 0.227 1.700 9.500 0.000 1.980 0.000 0.000 0.000 0.000 0.000 0.000 0.0 20 BFL1 Waterloo biofilter (plastic media) 2 0.227 28.500 18.500 58.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.0 21 BFL2 Waterloo biofilter (plastic media) 2 0.227 16.000 5.000 0.000 10.200 5.700 0.000 0.000 0.000 0.000 0.000 190000.0 22 BFL3 Peat biofilter 2 0.227 4.500 6.500 2.500 1.000 20.000 0.000 0.000 0.000 0.000 0.450 945.0 23 TXF1 Recirulating textile filter 2 0.227 27.500 16.000 26.500 0.000 0.000 0.000 0.000 0.000 0.000 0.000 50790.0 24 TXF2 Foam or textile filter effluent 2 0.227 10.000 7.500 45.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 505.0 25 GFL1 Septic, recirculating gravel filter, UV disinfection 2 0.227 25.000 4.900 0.400 0.000 12.200 0.000 0.000 0.000 0.000 0.000 7.3 26 FSPT Texas A&M reference 3 0.227 250.000 700.000 40.000 25.000 0.000 0.000 25.000 12.000 10.000 2.000 10000000.0 """ fileName = "septwq.dat" cj.write_to(variables.DefaultSimDir + "TxtInOut\\" + fileName, septwq) #print fileName

60.066667

94

0.469478

889

5,406

2.850394

0.206974

0.211523

0.312155

0.303078

0.5

0.460142

0.448698

0.3382

0.30663

0.269929

0

0.500172

0.460784

5,406

90

95

60.066667

0.369125

0.00259

0

0.126437

0

0.298851

0.971625

0.013724

0

1

0

false

0.057471

0.022989

0

0.022989

0

null

1

0

1

0

1

0

1

0

null

0

1

0

8

acb24e20795dac453f86faa02ee0ad72bf95e265

73,831

py

Python

src_dataset/dataset_hollow.py

jamesrchen/Combinatorial-3D-Shape-Generation

0f2dc9a4c6f5844cbce53fe4f2b7244cadf6231e

[ "MIT" ]

null

src_dataset/dataset_hollow.py

jamesrchen/Combinatorial-3D-Shape-Generation

0f2dc9a4c6f5844cbce53fe4f2b7244cadf6231e

[ "MIT" ]

null

src_dataset/dataset_hollow.py

jamesrchen/Combinatorial-3D-Shape-Generation

0f2dc9a4c6f5844cbce53fe4f2b7244cadf6231e

[ "MIT" ]

null

from geometric_primitives import brick from geometric_primitives import bricks import dataset_common def square_hollow(w, h): bricks_ = bricks.Bricks(200) list_brick_ = [] w_total = 2 * w - 1 w_last = 2 * w_total for i in range(w_total): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 3 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(w_total): for j in range(2): brick_ = brick.Brick() brick_.set_position([j * w_last - 1, i * 2 + 1, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(w_total): brick_ = brick.Brick() brick_.set_position([i * 2, w_last, 3 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) if h != 2: additional_ = h - 2 for i in range(w): for j in range(2): for k in range(additional_): brick_ = brick.Brick() brick_.set_position([i * 4, j * w_last, 5 + k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(w - 1): for j in range(2): for k in range(additional_): brick_ = brick.Brick() brick_.set_position([j * w_last - 1, i * 4 + 3, 5 + k]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_1(): bricks_ = bricks.Bricks(40) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-1, 1, 4]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-1, 3, 3]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-1, 5, 4]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 6, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([2, 0, 4]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([2, 6, 4]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([4, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([4, 6, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([6, 0, 4]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([6, 6, 4]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([7, 1, 3]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([7, 5, 3]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([7, 3, 4]) brick_.set_direction(0) list_brick_.append(brick_) ''' for i in range(5): brick_ = brick.Brick() brick_.set_position([i * 2 - 1, 1, 2]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([i * 2 - 1, 5, 2]) brick_.set_direction(0) list_brick_.append(brick_) ''' for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_2(): bricks_ = bricks.Bricks(40) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-1, 1, 4]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-1, 3, 3]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-1, 5, 4]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 6, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([2, 0, 4]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([2, 6, 4]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([4, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([4, 6, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([5, 1, 4]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([5, 5, 4]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([5, 3, 3]) brick_.set_direction(0) list_brick_.append(brick_) ''' for i in range(4): brick_ = brick.Brick() brick_.set_position([i * 2 - 1, 1, 2]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([i * 2 - 1, 5, 2]) brick_.set_direction(0) list_brick_.append(brick_) ''' for i in range(2): brick_ = brick.Brick() brick_.set_position([-2, 0, i + 5]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-2, 4, i + 5]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([1, -1, i + 5]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([5, -1, i + 5]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([6, 2, i + 5]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([6, 6, i + 5]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-1, 7, i + 5]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([3, 7, i + 5]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_3(): bricks_ = bricks.Bricks(100) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([-2 + (i % 2 == 1), i * 2 + 1, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 6, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([1, i * 8 - 1, 4]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([4, i * 6, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([5, i * 8 - 1, 4]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([7, i * 4 + 1, 3]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([8, i * 4 + 1, 4]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 - 2, j * 10 -2, 5]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-3, i * 4 + 1, 5]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([9, i * 4 - 1, 5]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([i * 4 - 3, 9, 6]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([-4, i * 4 - 2 , 6]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 4 - 1, -3 , 6]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([10, i * 4 - 2, 6]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_4(): bricks_ = bricks.Bricks(150) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([i * 2, 10, 3 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([9, 9 - i * 2, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([8 - i * 2, 0, 3 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([0, i * 4 + 4, 5 + j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 1, 1, 5 + j]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 3, 9, 5 + j]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([8, i * 4 + 2, 5 + j]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 0, 7]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 7 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([i * 2, 10, 7 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([9, 9 - i * 2, 7 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([8 - i * 2, 0, 7 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([0, i * 4 + 4, 9 + j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 1, 1, 9 + j]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 3, 9, 9 + j]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([8, i * 4 + 2, 9 + j]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 0, 11]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 11 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([i * 2, 10, 11 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([9, 9 - i * 2, 11 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([8 - i * 2, 0, 11 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_5(): bricks_ = bricks.Bricks(100) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([-2 + (i % 2 == 1), i * 2 + 1, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 6, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([1, i * 8 - 1, 4]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([4, i * 6, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([5, i * 8 - 1, 4]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([7, i * 4 + 1, 3]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([8, i * 4 + 1, 4]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 - 2, j * 10 -2, 5]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-3, i * 4 + 1, 5]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([9, i * 4 - 1, 5]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 1, j * 8 - 1, 2]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 10 - 2, j * 4 + 1, 2]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 - 2, j * 10 -2, 1]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-3, i * 4 + 1, 1]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([9, i * 4 - 1, 1]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_6(): bricks_ = bricks.Bricks(100) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-1 - (i % 2 == 1), i * 2 + 1, 4 + (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 2, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-2, -1, 5]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([i * 2 -1, 4, 4 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([12 - (i % 2 == 1), 3 - i * 2,5 - (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([10, i * 2, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([i * 2 -1, -2, 4 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_7(): bricks_ = bricks.Bricks(100) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-1 - (i % 2 == 1), i * 2 + 1, 4 + (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 2, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-2, -1, 5]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([i * 2 -1, 4, 4 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([12 - (i % 2 == 1), 3 - i * 2,5 - (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([10, i * 2, 3]) brick_.set_direction(1) list_brick_.append(brick_) ''' brick_ = brick.Brick() brick_.set_position([-1, -3, 3]) brick_.set_direction(0) list_brick_.append(brick_) ''' for i in range(2): brick_ = brick.Brick() brick_.set_position([-1 - (i % 2 == 1), -3 - i * 2, 4 + (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([11 + (i % 2 == 1), -3 - i * 2, 4 + (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([0, -2 - i * 2, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([10, -2 - i * 2, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([i * 2 -1, -6, 4 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_8(): bricks_ = bricks.Bricks(150) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([i * 2, 10, 3 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([9, 9 - i * 2, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([8 - i * 2, 0, 3 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(3): brick_ = brick.Brick() brick_.set_position([i * 10 - 1, j * 4 + 1, 5]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 2, j * 10, 5]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([0, i * 4 + 4, 6 + j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 1, 1, 6 + j]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 3, 9, 6 + j]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([8, i * 4 + 2, 6 + j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([0, i * 4 + 4, 2 - j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 1, 1, 2 - j]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 3, 9, 2 - j]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([8, i * 4 + 2, 2 - j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([4, i * 6 + 2, 0]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 + 1, j * 4 + 3, 0]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([4, i * 6 + 2, 8]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 + 1, j * 4 + 3, 8]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_9(): bricks_ = bricks.Bricks(200) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([i * 2, 14, 3 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([13, 13 - i * 2, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(6): brick_ = brick.Brick() brick_.set_position([12 - i * 2, 0, 3 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(6): brick_ = brick.Brick() brick_.set_position([i * 14 - 1, j * 2 + 2, 5]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 2 + 2, j * 14, 5]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 0, 6]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 6 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([i * 2, 14, 6 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([13, 13 - i * 2, 6 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(6): brick_ = brick.Brick() brick_.set_position([12 - i * 2, 0, 6 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(6): brick_ = brick.Brick() brick_.set_position([i * 14 - 1, j * 2 + 2, 8]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 2 + 2, j * 14, 8]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 0, 9]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 9 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([i * 2, 14, 9 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([13, 13 - i * 2, 9 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(6): brick_ = brick.Brick() brick_.set_position([12 - i * 2, 0, 9 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(6): brick_ = brick.Brick() brick_.set_position([i * 14 - 1, j * 2 + 2, 11]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 2 + 2, j * 14, 11]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 0, 12]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 12 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([i * 2, 14, 12 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([13, 13 - i * 2, 12 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(6): brick_ = brick.Brick() brick_.set_position([12 - i * 2, 0, 12 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_10(): bricks_ = bricks.Bricks(150) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([i * 2, 10, 3 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([9, 9 - i * 2, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([8 - i * 2, 0, 3 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(3): for k in range(5): brick_ = brick.Brick() brick_.set_position([i * 10 - 1, j * 4 + 1, 5 + k]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): for k in range(5): brick_ = brick.Brick() brick_.set_position([i * 4 + 2, j * 10, 5 + k]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 0, 10]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 10 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([i * 2, 10, 10 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([9, 9 - i * 2, 10 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([8 - i * 2, 0, 10 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_11(): bricks_ = bricks.Bricks(150) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 5]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([i * 2, 10, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([9, 9 - i * 2, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([8 - i * 2, 0, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4, j * 10, 4]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 10 - 1, j * 4 + 3, 4]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_12(): bricks_ = bricks.Bricks(150) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 5]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 6, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([5, 5 - i * 2, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([4 - i * 2, 0, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): for k in range(4): brick_ = brick.Brick() brick_.set_position([i * 6 - 1, j * 4 + 1, 4 - k]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(4): brick_ = brick.Brick() brick_.set_position([2, i * 6, 4 - j]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_13(): bricks_ = bricks.Bricks(150) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 5]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_13(): bricks_ = bricks.Bricks(150) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 5]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([i * 2, 4, 5 + (i % 2 == 0)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([3, 3 - i * 2, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([2, 0, 6]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([0, 0, 4 - i]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([-1, 3, 4 - i]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([2, 4, 4 - i]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([3, 1, 4 - i]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_14(): bricks_ = bricks.Bricks(150) list_brick_ = [] for i in range(5): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): for j in range(2): brick_ = brick.Brick() brick_.set_position([j * 10 - 1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([i * 2, 10, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_15(): bricks_ = bricks.Bricks(150) list_brick_ = [] for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): for j in range(2): brick_ = brick.Brick() brick_.set_position([j * 6 - 1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 10, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 - 1, 5, 7 - 3 * j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 4, j * 6 + 2, 7 - 3 * k]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_16(): bricks_ = bricks.Bricks(150) list_brick_ = [] for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): for j in range(2): brick_ = brick.Brick() brick_.set_position([j * 6 - 1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 6, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): for j in range(2): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 - 2, j * 8 - 1, 7 - 3 * k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(3): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 10 - 3, j * 2 + 1, 7 - 3 * k]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_17(): bricks_ = bricks.Bricks(150) list_brick_ = [] for i in range(2): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([3, i * 2 + 1, 5 + (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([i * 2, 4, 5 + (i % 2 == 0)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 - 1, j * 6 - 1, 7 - 3 * k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 - 2, 2, 7 - 3 * j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([0, 0, 8 - 5 * i]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-1, 3, 8 - 5 * i]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([2, 4, 8 - 5 * i]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([3, 1, 8 - 5 * i]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_18(): bricks_ = bricks.Bricks(100) list_brick_ = [] for i in range(7): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 6 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): for j in range(2): brick_ = brick.Brick() brick_.set_position([j * 14 - 1, i * 2 + 1, 6 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([i * 2, 14, 6 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): for j in range(2): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 4, j * 14, 8 - 3 * k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(6): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 12, j * 2 + 2, 8 - 3 * k]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_19(): bricks_ = bricks.Bricks(100) list_brick_ = [] for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 6 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): for j in range(2): brick_ = brick.Brick() brick_.set_position([j * 6 - 1, i * 2 + 1, 6 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 14, 6 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_20(): bricks_ = bricks.Bricks(100) list_brick_ = [] for i in range(4): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 3 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([7, i * 2 + 1, 3 + (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([i * 2, 8, 3 + (i % 2 == 0)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([7, i * 2 + 1, 5 + (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([i * 2, 8, 5 + (i % 2 == 0)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 7 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 7 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([7, i * 2 + 1, 7 + (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([i * 2, 8, 7 + (i % 2 == 0)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 9 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 9 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([7, i * 2 + 1, 9 + (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([i * 2, 8, 9 + (i % 2 == 0)]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_21(): bricks_ = bricks.Bricks(150) list_brick_ = [] for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): for j in range(2): brick_ = brick.Brick() brick_.set_position([j * 6 - 1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 10, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 - 1, 5, 7 - 3 * j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 4, j * 6 + 2, 7 - 3 * k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 4, j * 6 + 2, 8 - 5 * k]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_22(): bricks_ = bricks.Bricks(150) list_brick_ = [] for i in range(2): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([3, i * 2 + 1, 5 + (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([i * 2, 4, 5 + (i % 2 == 0)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 - 1, j * 6 - 1, 7 - 3 * k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 - 2, 2, 7 - 3 * j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([0, 0, 8 - 5 * i]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-1, 3, 8 - 5 * i]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([2, 4, 8 - 5 * i]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([3, 1, 8 - 5 * i]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([0, 0, 9 - 7 * i]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-1, 3, 9 - 7 * i]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([2, 4, 9 - 7 * i]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([3, 1, 9 - 7 * i]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_23(): bricks_ = bricks.Bricks(150) list_brick_ = [] for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): for j in range(2): brick_ = brick.Brick() brick_.set_position([j * 6 - 1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 6, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): for j in range(2): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 - 2, j * 8 - 1, 7 - 3 * k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(3): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 10 - 3, j * 2 + 1, 7 - 3 * k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 , j * 6, 8]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 - 1, 3, 8]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_24(): bricks_ = bricks.Bricks(150) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([i * 2, 10, 3 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): brick_ = brick.Brick() brick_.set_position([9, 9 - i * 2, 3 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([8 - i * 2, 0, 3 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(3): brick_ = brick.Brick() brick_.set_position([i * 10 - 1, j * 4 + 1, 5]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 2, j * 10, 5]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([0, i * 4 + 4, 6 + j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 1, 1, 6 + j]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 3, 9, 6 + j]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([8, i * 4 + 2, 6 + j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([0, i * 4 + 4, 2 - j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 1, 1, 2 - j]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 3, 9, 2 - j]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([8, i * 4 + 2, 2 - j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([4, i * 6 + 2, 0]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 + 1, j * 4 + 3, 0]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([4, i * 6 + 2, 8]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 + 1, j * 4 + 3, 8]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([0, i * 4 + 4, 9]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 1, 1, 9]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 + 3, 9, 9]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([8, i * 4 + 2, 9]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_25(): bricks_ = bricks.Bricks(60) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-1, 1, 4]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-1, 3, 3]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-1, 5, 4]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 6, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([2, 0, 4]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([2, 6, 4]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([4, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([4, 6, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([5, 1, 4]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([5, 5, 4]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([5, 3, 3]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-2, 0, i + 5]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-2, 4, i + 5]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([1, -1, i + 5]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([5, -1, i + 5]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([6, 2, i + 5]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([6, 6, i + 5]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-1, 7, i + 5]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([3, 7, i + 5]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 4, j * 6, 2 - k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 - 1, 3, 2]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_26(): bricks_ = bricks.Bricks(150) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 5]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([i * 2, 4, 5 + (i % 2 == 0)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([3, 3 - i * 2, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([2, 0, 6]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([-1, 1, 7 + i]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([2, 0, 7 + i]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([0, 4, 7 + i]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([3, 3, 7 + i]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_27(): bricks_ = bricks.Bricks(150) list_brick_ = [] for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(5): for j in range(2): brick_ = brick.Brick() brick_.set_position([j * 6 - 1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 10, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 - 1, 5, 7 - 3 * j]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 4, j * 6 + 2, 7 - 3 * k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 4, j * 6 + 2, 8 + k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 - 1, 5, 8 + j]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_28(): bricks_ = bricks.Bricks(150) list_brick_ = [] for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 0, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): for j in range(2): brick_ = brick.Brick() brick_.set_position([j * 6 - 1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([i * 2, 6, 5 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): for j in range(2): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 - 2, j * 8 - 1, 7 - 3 * k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(3): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 10 - 3, j * 2 + 1, 7 - 3 * k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): for k in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 , j * 6, 8 - 5 * k]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 - 1 , 3, 8 - 5 * j]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_29(): bricks_ = bricks.Bricks(150) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 5]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-1, i * 2 + 1, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([i * 2, 4, 5 + (i % 2 == 0)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([3, 3 - i * 2, 5 + (i % 2 == 0)]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([2, 0, 6]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([-1, 1, 7 + i]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([2, 0, 7 + i]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([0, 4, 7 + i]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(4): brick_ = brick.Brick() brick_.set_position([3, 3, 7 + i]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 4 - 1, j * 6 - 1, 11]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 6 - 2, 2, 11 + j]) brick_.set_direction(0) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ def hollow_30(): bricks_ = bricks.Bricks(100) list_brick_ = [] brick_ = brick.Brick() brick_.set_position([0, 0, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([-1 - (i % 2 == 1), i * 2 + 1, 4 + (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([0, 2, 3]) brick_.set_direction(1) list_brick_.append(brick_) brick_ = brick.Brick() brick_.set_position([-2, -1, 5]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([i * 2 -1, 4, 4 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(3): brick_ = brick.Brick() brick_.set_position([12 - (i % 2 == 1), 3 - i * 2,5 - (i % 2 == 1)]) brick_.set_direction(0) list_brick_.append(brick_) for i in range(2): brick_ = brick.Brick() brick_.set_position([10, i * 2, 3]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(7): brick_ = brick.Brick() brick_.set_position([i * 2 -1, -2, 4 + (i % 2 == 1)]) brick_.set_direction(1) list_brick_.append(brick_) for i in range(2): for j in range(2): brick_ = brick.Brick() brick_.set_position([i * 8 + 1, j * 2, 5]) brick_.set_direction(1) list_brick_.append(brick_) for brick_ in list_brick_: bricks_.add(brick_) return bricks_ if __name__ == '__main__': list_bricks_ = [ hollow_1(), hollow_2(), hollow_3(), hollow_4(), hollow_5(), hollow_6(), hollow_7(), hollow_8(), hollow_9(), hollow_10(), hollow_11(), hollow_12(), hollow_13(), hollow_14(), hollow_15(), hollow_16(), hollow_17(), hollow_18(), hollow_19(), hollow_20(), hollow_21(), hollow_22(), hollow_23(), hollow_24(), hollow_25(), hollow_26(), hollow_27(), hollow_28(), hollow_29(), hollow_30(), ] dataset_common.create_bricks(list_bricks_, dataset_common.STR_LABEL_HOLLOW)

28.672233

79

0.519985

9,899

73,831

3.547025

0.007172

0.333789

0.346036

0.255183

0.983595

0.983197

0.981744

0.981573

0.981288

0.981118

0

0.055437

0.351573

73,831

2,574

80

28.683372

0.677988

0

0.906067

0

0.00011

0

1

0.015656

false

0

0.001468

0

0.032779

0

null

1

0

1

0

null

0

10

acbec6f0c0378f23bd7265cda601d41964069910

396

py

Python

pajbot/tests/test_fill_in_url_scheme.py

KasperHelsted/pajbot

c366dcfc5e6076f9adcfce24c7a666653068b031

[ "MIT" ]

null

pajbot/tests/test_fill_in_url_scheme.py

KasperHelsted/pajbot

c366dcfc5e6076f9adcfce24c7a666653068b031

[ "MIT" ]

null

pajbot/tests/test_fill_in_url_scheme.py

KasperHelsted/pajbot

c366dcfc5e6076f9adcfce24c7a666653068b031

[ "MIT" ]

1

2020-03-11T19:37:10.000Z

from pajbot.apiwrappers import fill_in_url_scheme def test_fills_in_relative_url(): assert fill_in_url_scheme("//example.com") == "https://example.com" def test_respects_passed_scheme(): assert fill_in_url_scheme("//example.com", "wss") == "wss://example.com" def test_does_not_change_non_relative_urls(): assert fill_in_url_scheme("http://example.com") == "http://example.com"

28.285714

76

0.747475

59

396

4.59322

0.423729

0.221402

0.132841

0.221402

0.306273

0.228782

0

0.103535

396

13

77

30.461538

0.76338

0

0.255051

0

0.428571

1

0.428571

true

0.142857

0

0.571429

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

acee8e33e3b771605ab03d0ee63590482a0ce8ac

58,685

py

Python

src/pycropml/transpiler/generators/siriusGenerator.py

brichet/PyCrop2ML

7177996f72a8d95fdbabb772a16f1fd87b1d033e

[ "MIT" ]

5

2020-06-21T18:58:04.000Z

2022-01-29T21:32:28.000Z

src/pycropml/transpiler/generators/siriusGenerator.py

brichet/PyCrop2ML

7177996f72a8d95fdbabb772a16f1fd87b1d033e

[ "MIT" ]

27

2018-12-04T15:35:44.000Z

2022-03-11T08:25:03.000Z

src/pycropml/transpiler/generators/siriusGenerator.py

brichet/PyCrop2ML

7177996f72a8d95fdbabb772a16f1fd87b1d033e

[ "MIT" ]

7

2019-04-20T02:25:22.000Z

2021-11-04T07:52:35.000Z

# coding: utf8 from pycropml.transpiler.codeGenerator import CodeGenerator from pycropml.transpiler.rules.csharpRules import CsharpRules from pycropml.transpiler.generators.docGenerator import DocGenerator from pycropml.transpiler.pseudo_tree import Node import os from path import Path from pycropml.transpiler.Parser import parser from pycropml.transpiler.ast_transform import AstTransformer, transform_to_syntax_tree from pycropml import code2nbk from pycropml.transpiler.generators.csharpGenerator import CsharpGenerator, CsharpTrans,CsharpCompo category = {"state":"s", "rate":"r", "auxiliary":"a", "exogenous":"ex"} param_datatype ={"STRING":"String", "INT":"Integer", "DOUBLE":"Double", "BOOLEAN":"Boolean", "DATE":"Date", "DATELIST":"ListDate", "STRINGLIST": "ListString", "DOUBLELIST": "ListDouble", "INTLIST": "ListInteger", "BOOLEANLIST": "ListBoolean"} def getdefault(x): if "default" in dir(x): if x.datatype == "STRING": return '"%s"'%x.default if x.default is not None else "-1D" elif x.datatype == "BOOLEAN": return x.default.lower() if x.default is not None else "-1D" elif x.datatype in ("DATE", "DATELIST"): return "-1D" elif x.datatype.endswith("LIST"): return x.default if x.default is not None else "-1D" else: return x.default if x.default is not None else "-1D" else: return "-1D" class SiriusGenerator(CsharpGenerator): """ This class contains the specific properties of SQ components and use the NodeVisitor to generate a csharp code source from a well formed syntax tree based on BioMa structure. """ def __init__(self, tree=None, model=None, name=None): self.tree = tree self.model=model self.name = name self.indent_with=' '*4 CsharpGenerator.__init__(self, tree, model, name) self.usingBioma() def usingBioma(self): self.write(""" using System; using System.Collections.Generic; using System.Linq; using System.Xml; using CRA.ModelLayer.MetadataTypes; using CRA.ModelLayer.Core; using CRA.ModelLayer.Strategy; using System.Reflection; using VarInfo=CRA.ModelLayer.Core.VarInfo; using Preconditions=CRA.ModelLayer.Core.Preconditions; using CRA.AgroManagement; """) def desc(self,node, n, inp, vartype) : self.write("PropertyDescription pd%s = new PropertyDescription();"%n) self.newline(node) self.write("pd%s.DomainClassType = typeof(SiriusQuality%s.DomainClass.%s%s);"%(n, self.name,self.name,inp.variablecategory.capitalize())) self.newline(node) self.write('pd%s.PropertyName = "%s";'%(n,inp.name if not inp.name.endswith("_t1") else inp.name[:-3])) self.newline(node) self.write('pd%s.PropertyType = (SiriusQuality%s.DomainClass.%s%sVarInfo.%s).ValueType.TypeForCurrentValue;'%(n, self.name,self.name, inp.variablecategory.capitalize(),inp.name if not inp.name.endswith("_t1") else inp.name[:-3])) self.newline(node) self.write('pd%s.PropertyVarInfo =(SiriusQuality%s.DomainClass.%s%sVarInfo.%s);'%(n,self.name,self.name, inp.variablecategory.capitalize(),inp.name if not inp.name.endswith("_t1") else inp.name[:-3])) self.newline(node) self.write('%s.Add(pd%s);'%(vartype, n)) def inOutputDesc(self, node): self.newline(node) self.write("ModellingOptions mo0_0 = new ModellingOptions();") self.newline(node) self.write("//Parameters") self.newline(node) self.write("List<VarInfo> _parameters0_0 = new List<VarInfo>();") self.newline(node) n = 1 for p in self.model.parameters: self.write("VarInfo v%s = new VarInfo();"%n) self.newline(node) self.write("v%s.DefaultValue = %s;"%(n, getdefault(p))) self.newline(node) self.write('v%s.Description = "%s";'%(n,p.description)) self.newline(node) self.write("v%s.Id = 0;"%n) self.newline(node) self.write("v%s.MaxValue = %s;"%(n, p.max if p.max is not None else getdefault(p))) self.newline(node) self.write("v%s.MinValue = %s;"%(n, p.min if p.min is not None else getdefault(p))) self.newline(node) self.write('v%s.Name = "%s";'%(n, p.name)) self.newline(node) self.write("v%s.Size = 1;"%n) self.newline(node) self.write('v%s.Units = "%s";'%(n, p.unit if ("unit" in dir(p) and p.unit is not None) else "dimensionless")) self.newline(node) self.write('v%s.URL = "%s";'%(n, p.url if ("url" in dir(p) and p.url is not None) else "")) self.newline(node) self.write("v%s.VarType = CRA.ModelLayer.Core.VarInfo.Type.PARAMETER;"%n) self.newline(node) self.write('v%s.ValueType = VarInfoValueTypes.GetInstanceForName("%s");'%(n, param_datatype[p.datatype])) self.newline(node) self.write("_parameters0_0.Add(v%s);"%n) self.newline(node) n = n+1 self.write("mo0_0.Parameters=_parameters0_0;") n = 1 self.newline(extra=1) self.write("//Inputs") self.newline(node) self.write("List<PropertyDescription> _inputs0_0 = new List<PropertyDescription>();"%()) self.newline(node) for inp in self.model.inputs: if inp.name not in self.modparam : self.desc(node,n,inp, "_inputs0_0") self.write("") self.newline(node) n = n+1 self.write("mo0_0.Inputs=_inputs0_0;") self.newline(extra=1) self.write("//Outputs") self.newline(node) self.write("List<PropertyDescription> _outputs0_0 = new List<PropertyDescription>();") self.newline(node) for out in self.model.outputs: if out.name not in self.modparam : self.desc(node,n,out,"_outputs0_0") self.newline(node) n = n+1 self.write("mo0_0.Outputs=_outputs0_0;") self.newline(node) self.otherDesc(node) self.newline(extra=1) def otherDesc(self,node): self.write("//Associated strategies") self.newline(node) self.write('List<string> lAssStrat0_0 = new List<string>();') self.newline(node) self.write("mo0_0.AssociatedStrategies = lAssStrat0_0;") self.newline(node) self.write("//Adding the modeling options to the modeling options manager") self.newline(node) self.write("_modellingOptionsManager = new ModellingOptionsManager(mo0_0);") self.newline(node) self.write("SetStaticParametersVarInfoDefinitions();") self.newline(node) self.write("SetPublisherData();") self.newline(extra=1) def description(self, node): self.write("public string Description") self.open(node) self.write('get { return "%s" ;}'%self.model.description.Abstract.replace("\n", "")) self.close(node) self.newline(extra=1) def url(self, node): self.write("public string URL") self.open(node) self.write('get { return "%s" ;}'%(self.model.description.url if "url" in dir(self.model.description) else "")) self.close(node) self.newline(extra=1) def domain(self, node): self.write("public string Domain") self.open(node) self.write('get { return "";}') self.close(node) self.newline(extra=1) def modelType(self, node): self.write("public string ModelType") self.open(node) self.write('get { return "";}') self.close(node) self.newline(extra=1) def isContext(self, node): self.write("public bool IsContext") self.open(node) self.write('get { return false;}') self.close(node) self.newline(extra=1) def isTimeStep(self, node): self.write("public IList<int> TimeStep") self.open(node) self.write("get") self.open(node) self.write("IList<int> ts = new List<int>();") self.newline(node) self.write("return ts;") self.close(node) self.close(node) self.newline(extra=1) def publisherdata(self, node): self.write("private PublisherData _pd;") self.newline(node) self.write("public PublisherData PublisherData") self.open(node) self.write("get { return _pd;} ") self.close(node) self.newline(extra=1) def SetPublisherData(self, node): self.write("private void SetPublisherData()") self.open(node) self.write("_pd = new CRA.ModelLayer.MetadataTypes.PublisherData();") self.newline(node) self.write('_pd.Add("Creator", "%s");'%self.model.description.Authors) self.newline(node) self.write('_pd.Add("Date", "");') self.newline(node) self.write('_pd.Add("Publisher", "%s");'%self.model.description.Institution) self.close(node) self.newline(extra=1) def getStrategyDomainClassesTypes(self, node): self.write("public IEnumerable<Type> GetStrategyDomainClassesTypes()") self.open(node) self.write("return new List<Type>() { typeof(SiriusQuality%s.DomainClass.%sState), typeof(SiriusQuality%s.DomainClass.%sState), typeof(SiriusQuality%s.DomainClass.%sRate), typeof(SiriusQuality%s.DomainClass.%sAuxiliary), typeof(SiriusQuality%s.DomainClass.%sExogenous)};"%(self.name, self.name,self.name, self.name,self.name, self.name,self.name, self.name,self.name, self.name)) self.close(node) self.newline(extra=1) def setParametersDefaultValue(self, node): self.write("public void SetParametersDefaultValue()") self.open(node) self.write("_modellingOptionsManager.SetParametersDefaultValue();") self.close(node) self.newline(extra=1) def varinfodef(self, node, pa): self.write('%sVarInfo.Name = "%s";'%(pa.name, pa.name)); self.newline(node) self.write('%sVarInfo.Description = "%s";'%(pa.name, pa.description)); self.newline(node) self.write('%sVarInfo.MaxValue = %s;'%(pa.name,pa.max if pa.max is not None else getdefault(pa))); self.newline(node) self.write('%sVarInfo.MinValue = %s;'%(pa.name, pa.min if pa.min is not None else getdefault(pa))); self.newline(node) self.write('%sVarInfo.DefaultValue = %s;'%(pa.name, getdefault(pa))); self.newline(node) self.write('%sVarInfo.Units = "%s";'%(pa.name, pa.unit if ("unit" in dir(pa) and pa.unit is not None) else "dimensionless")); self.newline(node) self.write('%sVarInfo.ValueType = VarInfoValueTypes.GetInstanceForName("%s");'%(pa.name, param_datatype[pa.datatype])); self.newline(node) def SetStaticParametersVarInfoDefinitions(self, node): self.write("private static void SetStaticParametersVarInfoDefinitions()") self.open(node) for pa in self.model.parameters: self.newline(extra=1) self.varinfodef(node, pa) self.close(node) self.newline(extra=1) def staticVarInfo(self, node): for pa in self.model.parameters: self.write("private static VarInfo _%sVarInfo = new VarInfo();"%pa.name) self.newline(node) self.write("public static VarInfo %sVarInfo"%pa.name) self.open(node) self.write("get { return _%sVarInfo;} "%pa.name) self.close(node) self.newline(extra=1) def TestPostConditions(self, node): self.write("public string TestPostConditions(SiriusQuality%s.DomainClass.%sState s,SiriusQuality%s.DomainClass.%sState s1,SiriusQuality%s.DomainClass.%sRate r,SiriusQuality%s.DomainClass.%sAuxiliary a,SiriusQuality%s.DomainClass.%sExogenous ex,string callID)"%(self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name)) self.open(node) self.write("try") self.open(node) self.write("//Set current values of the outputs to the static VarInfo representing the output properties of the domain classes") for out in self.model.outputs: self.newline(node) self.write('SiriusQuality%s.DomainClass.%s%sVarInfo.%s.CurrentValue=%s.%s;'%(self.name, self.name, out.variablecategory.capitalize(),out.name,category[out.variablecategory], out.name)) self.newline(node) self.write('ConditionsCollection prc = new ConditionsCollection();'); self.newline(node) self.write('Preconditions pre = new Preconditions(); ' ); self.newline(node) n = len(self.model.inputs) + 1 for out in self.model.outputs: self.newline(node) self.write("RangeBasedCondition r%s = new RangeBasedCondition(SiriusQuality%s.DomainClass.%s%sVarInfo.%s);"%(n,self.name, self.name, out.variablecategory.capitalize(),out.name)); self.newline(node) self.write("if(r%s.ApplicableVarInfoValueTypes.Contains( SiriusQuality%s.DomainClass.%s%sVarInfo.%s.ValueType)){prc.AddCondition(r%s);}"%(n, self.name, self.name, out.variablecategory.capitalize(), out.name, n)); self.newline(node) n = n+1 self.write('string postConditionsResult = pre.VerifyPostconditions(prc, callID); if (!string.IsNullOrEmpty(postConditionsResult)) { pre.TestsOut(postConditionsResult, true, "PostConditions errors in strategy " + this.GetType().Name); } return postConditionsResult;') self.close(node) self.newline(node) self.write("catch (Exception exception)"); self.open(node) self.write('string msg = "SiriusQuality.%s, " + this.GetType().Name + ": Unhandled exception running post-condition test. ";'%self.name); self.newline(node) self.write('throw new Exception(msg, exception);'); self.newline(node) self.close(node) self.close(node) self.newline(extra=1) def TestPreConditions(self, node): self.write("public string TestPreConditions(SiriusQuality%s.DomainClass.%sState s,SiriusQuality%s.DomainClass.%sState s1,SiriusQuality%s.DomainClass.%sRate r,SiriusQuality%s.DomainClass.%sAuxiliary a,SiriusQuality%s.DomainClass.%sExogenous ex,string callID)"%(self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name)) self.open(node) self.write("try") self.open(node) self.write("//Set current values of the inputs to the static VarInfo representing the inputs properties of the domain classes") for inp in self.model.inputs: if "variablecategory" in dir(inp): self.newline(node) self.write('SiriusQuality%s.DomainClass.%s%sVarInfo.%s.CurrentValue=%s.%s;'%(self.name, self.name, inp.variablecategory.capitalize(),inp.name if not inp.name.endswith("_t1") else inp.name[:-3],category[inp.variablecategory], inp.name if not inp.name.endswith("_t1") else inp.name[:-3])) self.newline(node) self.write('ConditionsCollection prc = new ConditionsCollection();'); self.newline(node) self.write('Preconditions pre = new Preconditions(); ' ); self.newline(node) n = 1 for inp in self.model.inputs: if "variablecategory" in dir(inp): self.newline(node) self.write("RangeBasedCondition r%s = new RangeBasedCondition(SiriusQuality%s.DomainClass.%s%sVarInfo.%s);"%(n,self.name, self.name,inp.variablecategory.capitalize(), inp.name if not inp.name.endswith("_t1") else inp.name[:-3])); self.newline(node) self.write("if(r%s.ApplicableVarInfoValueTypes.Contains( SiriusQuality%s.DomainClass.%s%sVarInfo.%s.ValueType)){prc.AddCondition(r%s);}"%(n, self.name, self.name, inp.variablecategory.capitalize(), inp.name if not inp.name.endswith("_t1") else inp.name[:-3], n)); self.newline(node) n = n+1 self.newline(node) for p in self.model.parameters: self.write('prc.AddCondition(new RangeBasedCondition(_modellingOptionsManager.GetParameterByName("%s")));'%p.name) self.newline(node) self.write('string preConditionsResult = pre.VerifyPreconditions(prc, callID); if (!string.IsNullOrEmpty(preConditionsResult)) { pre.TestsOut(preConditionsResult, true, "PreConditions errors in strategy " + this.GetType().Name); } return preConditionsResult;') self.close(node) self.newline(node) self.write("catch (Exception exception)"); self.open(node) self.write('string msg = "SiriusQuality.%s, " + this.GetType().Name + ": Unhandled exception running pre-condition test. ";'%self.name); self.newline(node) self.write('throw new Exception(msg, exception);'); self.newline(node) self.close(node) self.close(node) self.newline(extra=1) def estimate(self, node): self.write("public void Estimate(SiriusQuality%s.DomainClass.%sState s,SiriusQuality%s.DomainClass.%sState s1,SiriusQuality%s.DomainClass.%sRate r,SiriusQuality%s.DomainClass.%sAuxiliary a,SiriusQuality%s.DomainClass.%sExogenous ex)"%(self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name)) self.open(node) self.write("try") self.open(node) self.write("CalculateModel(s, s1, r, a, ex);") self.close(node) self.newline(node) self.write("catch (Exception exception)") self.open(node) self.write('string msg = "Error in component SiriusQuality%s, strategy: " + this.GetType().Name + ": Unhandled exception running model. "+exception.GetType().FullName+" - "+exception.Message;'%self.name) self.newline(node) self.write('throw new Exception(msg, exception);') self.close(node) self.close(node) self.newline(extra=1) def get_set_param(self, node): self.write("// Getter and setters for the value of the parameters of the strategy. The actual parameters are stored into the ModelingOptionsManager of the strategy.\n") for arg in self.node_param : self.newline(node) self.write("public ") self.visit_decl(arg.pseudo_type) self.write(' ' +arg.name) self.open(node) self.write("get { ") self.newline(node) self.indentation += 1 self.write('VarInfo vi= _modellingOptionsManager.GetParameterByName("%s");'%arg.name) self.newline(node) self.write("if (vi != null && vi.CurrentValue!=null) return (") self.visit_decl(arg.pseudo_type) self.write(")vi.CurrentValue ;") self.newline(node) self.write('else throw new Exception("Parameter') self.write(" '%s' not found (or found null) in strategy '%s'"%(arg.name,self.model.name)) self.write('");') self.newline(node) self.indentation -= 1 self.write('} set {') self.newline(node) self.indentation += 1 self.write('VarInfo vi = _modellingOptionsManager.GetParameterByName("%s");'%arg.name) self.newline(node) self.write('if (vi != null) vi.CurrentValue=value;') self.newline(node) self.write('else throw new Exception("Parameter') self.write(" '%s' not found in strategy '%s'"%(arg.name,self.model.name)) self.write('");') self.close(node) self.close(node) self.newline(extra=1) def visit_function_definition(self, node): self.newline(node) self.funcname = node.name if (not node.name.startswith("model_") and not node.name.startswith("init_")) : self.write("public static ") self.visit_decl(node.return_type) if node.return_type else self.write("void") self.write(" Main(") if node.name=="main" else self.write(" %s("%node.name) for i, pa in enumerate(node.params): self.visit_decl(pa.pseudo_type) self.write(" %s"%pa.name) if i!= (len(node.params)-1): self.write(', ') self.write(')') self.open(node) else: self.write("private void CalculateModel(") if not node.name.startswith("init_") else self.write("public void Init(") self.write('SiriusQuality%s.DomainClass.%sState s, SiriusQuality%s.DomainClass.%sState s1, SiriusQuality%s.DomainClass.%sRate r, SiriusQuality%s.DomainClass.%sAuxiliary a, SiriusQuality%s.DomainClass.%sExogenous ex)'%(self.name, self.name,self.name,self.name,self.name, self.name,self.name,self.name, self.name,self.name)) self.open(node) for arg in self.add_features(node) : if "feat" in dir(arg): if arg.feat in ["IN","INOUT"] : self.newline(node) if self.model and arg.name not in self.modparam: self.visit_decl(arg.pseudo_type) self.write(" ") self.write(arg.name) if not node.name.startswith("init_"): if arg.name in self.states and not arg.name.endswith("_t1") : self.write(" = s.%s"%arg.name) if arg.name in self.states and arg.name.endswith("_t1") : self.write(" = s1.%s"%arg.name[:-3]) if arg.name in self.rates: self.write(" = r.%s"%arg.name) if arg.name in self.auxiliary: self.write(" = a.%s"%arg.name) if arg.name in self.exogenous: self.write(" = ex.%s"%arg.name) else: if arg.pseudo_type[0] =="list": self.write(" = new List<%s>()"%(self.types[arg.pseudo_type[1]])) elif arg.pseudo_type[0] =="array": self.write(" = new %s[%s]"%(self.types[arg.pseudo_type[1]], arg.elts[0].value if "value" in dir(arg.elts[0]) else arg.elts[0].name)) self.write(";") self.indentation -= 1 self.body(node.block) self.newline(node) self.visit_return(node) self.close(node) self.newline(extra=1) def open(self, node): self.newline(node) self.write("{") self.newline(node) self.indentation += 1 def close(self, node): self.newline(node) self.indentation -= 1 self.write("}") def visit_module(self, node): self.write("using SiriusQuality%s.DomainClass;"%self.name) self.newline(node) self.write("namespace SiriusQuality%s.Strategies"%self.name) self.open(node) self.write("public class %s : IStrategySiriusQuality%s"%(self.model.name, self.name)) self.open(node) self.write("public %s()"%self.model.name) self.open(node) self.inOutputDesc(node) self.close(node) self.newline(extra=1) self.description(node) self.url(node) self.domain(node) self.modelType(node) self.isContext(node) self.isTimeStep(node) self.publisherdata(node) self.SetPublisherData(node) self.write("private ModellingOptionsManager _modellingOptionsManager;") self.newline(node) self.write("public ModellingOptionsManager ModellingOptionsManager") self.open(node) self.write("get { return _modellingOptionsManager; } ") self.close(node) self.newline(extra=1) self.getStrategyDomainClassesTypes(node) ### self.get_set_param(node) #### self.setParametersDefaultValue(node) ### self.SetStaticParametersVarInfoDefinitions(node) #### self.staticVarInfo(node) ### self.TestPostConditions(node) ### self.TestPreConditions(node) ### self.estimate(node) ### self.visit(node.body) self.close(node) #class self.close(node) #namespace class SiriusTrans(CsharpTrans): """ This class used to generates states, rates, auxiliary and exogenous classes for Sirius. """ def __init__(self, models): self.models = models CsharpTrans.__init__(self, self.models) def using(self): self.write(""" using System; using System.Collections.Generic; using CRA.ModelLayer.Core; using System.Reflection; using CRA.ModelLayer.ParametersManagement; """) def open(self, node): self.newline(node) self.write("{") self.newline(node) self.indentation += 1 def close(self, node): self.newline(node) self.indentation -= 1 self.write("}") def constr(self, node, typ): self.write('private ParametersIO _parametersIO;') self.newline(extra=1) self.write('public %s()'%typ) self.open(node) self.write('_parametersIO = new ParametersIO(this);') self.close(node) def copyConstr(self, nodes, typ): self.write('public %s(%s toCopy, bool copyAll) // copy constructor '%(typ, typ)) self.open(nodes) self.write('if (copyAll)') self.open(nodes) self.copyconstructor(nodes) self.close(nodes) self.close(nodes) self.newline(extra = 1) def description(self, node, typ): self.write("public string Description") self.open(node) self.write('get { return "%s of the component";}'%typ) self.close(node) self.newline(extra=1) def url(self, node): self.write("public string URL") self.open(node) self.write('get { return "http://" ;}') self.close(node) self.newline(extra=1) def propertiesDescription(self, node): self.write('public virtual IDictionary<string, PropertyInfo> PropertiesDescription') self.open(node) self.write('get { return _parametersIO.GetCachedProperties(typeof(IDomainClass));}') self.close(node) self.newline(extra=1) def clone(self, node): self.write("public virtual Object Clone()") self.open(node) self.write('IDomainClass myclass = (IDomainClass) this.MemberwiseClone();') self.newline(node) self.write('_parametersIO.PopulateClonedCopy(myclass);') self.newline(node) self.write('return myclass;') self.close(node) def clearValue(self, node): self.write("public virtual Boolean ClearValues()") self.open(node) for arg in node: self.newline(node) self.write(" _") self.write(arg.name) if arg.pseudo_type[0] =="list": self.write(" = new List<%s>()"%(self.types[arg.pseudo_type[1]])) elif arg.pseudo_type=="DateTime": self.write(" = new DateTime()") elif arg.pseudo_type[0] =="array": self.write(" = new %s[%s]"%(self.types[arg.pseudo_type[1]], arg.elts[0].value if "value" in dir(arg.elts[0]) else arg.elts[0].name)) elif arg.pseudo_type == "str": self.write(" = null") else: self.write(" = default(%s)"%(self.types[arg.pseudo_type])) self.write(";") self.newline(node); self.write("return true;") self.close(node) self.newline(extra=1) def generate(self, nodes, typ, name): self.using() self.write("namespace SiriusQuality%s.DomainClass"%name) self.open(nodes) self.write("public class %s : ICloneable, IDomainClass"%typ) self.newline() self.write("{") self.indentation += 1 self.newline() self.private(nodes) self.newline() self.constr(nodes, typ) ########### constructor self.newline(extra = 1) self.copyConstr(nodes, typ)###### copy constructor self.getset(nodes) self.newline(extra=1) self.description(nodes, typ) self.url(nodes) self.propertiesDescription(nodes) self.clearValue(nodes) self.clone(nodes) self.indentation -= 1 self.newline() self.write('}') self.close(nodes) def staticVarInfoDef(self, node): for n in node: self.write('static VarInfo _%s = new VarInfo();'%n.name) self.newline(1) self.newline(extra = 1) def varInfoConstrctor(self, node, typ): self.write("static %sVarInfo()"%typ) self.open(node) self.write("%sVarInfo.DescribeVariables();"%typ) self.close(node) self.newline(extra = 1) def infoDescription(self, node, typ): self.write('public virtual string Description') self.open(node) self.write('get { return "%s Domain class of the component";}'%typ) self.close(node) self.newline(extra = 1) def domainClassOfReference(self, node, typ): self.write('public string DomainClassOfReference') self.open(node) self.write('get { return "%s";}'%typ) self.close(node) self.newline(extra = 1) def getVarInfo(self, node): for n in node: self.write('public static VarInfo %s'%n.name) self.open(node) self.write('get { return _%s;}'%n.name) self.close(node) self.newline(extra = 1) self.newline(extra = 1) def describeVariables(self, node): self.write('static void DescribeVariables()') self.open(node) for pa in node : self.write('_%s.Name = "%s";'%(pa.name, pa.name)); self.newline(node) self.write('_%s.Description = "%s";'%(pa.name, pa.description)); self.newline(node) self.write('_%s.MaxValue = %s;'%(pa.name,pa.max if ("max" in dir(pa) and pa.max is not None) or pa.max=="" else getdefault(pa))); self.newline(node) self.write('_%s.MinValue = %s;'%(pa.name, pa.min if ("min" in dir(pa) and pa.min is not None) or pa.min=="" else getdefault(pa))); self.newline(node) self.write('_%s.DefaultValue = %s;'%(pa.name, getdefault(pa))); self.newline(node) self.write('_%s.Units = "%s";'%(pa.name, pa.unit if ("unit" in dir(pa) and pa.unit is not None) else "dimensionless")); self.newline(node) self.write('_%s.ValueType = VarInfoValueTypes.GetInstanceForName("%s");'%(pa.name, param_datatype[pa.datatype])); self.newline(node) self.newline(extra=1) self.close(node) self.newline(extra = 1) def generateVarInfo(self, nodes, typ, name): self.using() self.write("namespace SiriusQuality%s.DomainClass"%name) self.open(nodes) self.write('public class %sVarInfo : IVarInfoClass'%typ) self.open(nodes) self.staticVarInfoDef(nodes) self.varInfoConstrctor(nodes, typ) self.infoDescription(nodes, typ) self.url(nodes) self.domainClassOfReference(nodes, typ) self.getVarInfo(nodes) self.describeVariables(nodes) self.close(nodes) self.close(nodes) def to_struct_sirius(models, rep, name): generator = SiriusTrans(models) generator.model2Node() def createdc(states, catvar): generator.result = [] generator.generate(states, "%s%s"%(name,catvar), name) z= ''.join(generator.result) filename = Path(os.path.join(rep, "%s%s.cs"%(name, catvar))) with open(filename, "wb") as tg_file: tg_file.write(z.encode('utf-8')) states = generator.node_states createdc(states,"State") rates = generator.node_rates createdc(rates,"Rate") auxiliary = generator.node_auxiliary createdc(auxiliary,"Auxiliary") exogenous = generator.node_exogenous createdc(exogenous,"Exogenous") def varinfo(states, catvar): generator.result = [] generator.generateVarInfo(states, "%s%s"%(name,catvar), name) z= ''.join(generator.result) filename = Path(os.path.join(rep, "%s%sVarInfo.cs"%(name, catvar))) with open(filename, "wb") as tg_file: tg_file.write(z.encode('utf-8')) states = generator.states varinfo(states,"State") rates = generator.rates varinfo(rates,"Rate") auxiliary = generator.auxiliary varinfo(auxiliary,"Auxiliary") exogenous = generator.exogenous varinfo(exogenous,"Exogenous") ''' Csharp composite''' class SiriusCompo(CsharpCompo): """ This class used to generates states, rates, auxiliary and exogenous classes for C# languages. """ def __init__(self, tree=None, model=None, name=None): self.model=model self.tree = tree self.name = name CsharpCompo.__init__(self, tree, model, name) def usingBioma(self): self.write(""" using System; using System.Collections.Generic; using System.Linq; using System.Xml; using CRA.ModelLayer.MetadataTypes; using CRA.ModelLayer.Core; using CRA.ModelLayer.Strategy; using System.Reflection; using VarInfo=CRA.ModelLayer.Core.VarInfo; using Preconditions=CRA.ModelLayer.Core.Preconditions; using CRA.AgroManagement; """) def desc(self,node, n, inp, vartype) : self.write("PropertyDescription pd%s = new PropertyDescription();"%n) self.newline(node) self.write("pd%s.DomainClassType = typeof(SiriusQuality%s.DomainClass.%s%s);"%(n, self.name,self.name,inp.variablecategory.capitalize())) self.newline(node) self.write('pd%s.PropertyName = "%s";'%(n,inp.name if not inp.name.endswith("_t1") else inp.name[:-3])) self.newline(node) self.write('pd%s.PropertyType = (SiriusQuality%s.DomainClass.%s%sVarInfo.%s).ValueType.TypeForCurrentValue;'%(n, self.name,self.name, inp.variablecategory.capitalize(),inp.name if not inp.name.endswith("_t1") else inp.name[:-3])) self.newline(node) self.write('pd%s.PropertyVarInfo =(SiriusQuality%s.DomainClass.%s%sVarInfo.%s);'%(n,self.name,self.name, inp.variablecategory.capitalize(),inp.name if not inp.name.endswith("_t1") else inp.name[:-3])) self.newline(node) self.write('%s.Add(pd%s);'%(vartype, n)) def constructor(self, node): self.write("public %sComponent()"%self.model.name) self.open(node) self.write("ModellingOptions mo0_0 = new ModellingOptions();") self.newline(node) self.write("//Parameters") self.newline(node) self.write("List<VarInfo> _parameters0_0 = new List<VarInfo>();") n = 1 for p in self.node_param: for j in self.get_mo(p.name): self.newline(node) self.write('VarInfo v%s = new CompositeStrategyVarInfo(_%s, "%s");'%(n,j,p.name)) self.newline(node) self.write("_parameters0_0.Add(v%s);"%n) n = n+1 self.newline(node) self.write("List<PropertyDescription> _inputs0_0 = new List<PropertyDescription>();") self.newline(node) n=1 for inp in self.model.inputs: if "variablecategory" in dir(inp) : self.desc(node,n,inp, "_inputs0_0") self.write("") self.newline(node) n = n+1 self.newline(node) self.write('mo0_0.Inputs=_inputs0_0;') self.newline(node) self.write("List<PropertyDescription> _outputs0_0 = new List<PropertyDescription>();") self.newline(node) for out in self.model.outputs: if "variablecategory" in dir(out): self.desc(node,n,out, "_outputs0_0") self.write("") self.newline(node) n = n+1 self.newline(node) self.write('mo0_0.Outputs=_outputs0_0;') self.newline(node) self.write("List<string> lAssStrat0_0 = new List<string>();") self.newline(node) for m in self.model.model: name = m.name self.write("lAssStrat0_0.Add(typeof(SiriusQuality%s.Strategies.%s).FullName);"%(self.model.name, name)) self.newline(1) self.write("mo0_0.AssociatedStrategies = lAssStrat0_0;") self.newline(1) self.write("_modellingOptionsManager = new ModellingOptionsManager(mo0_0);") self.newline(1) self.write("SetStaticParametersVarInfoDefinitions();") self.newline(1) self.write("SetPublisherData();") self.close(node) self.newline(extra=1) def description(self, node): self.write("public string Description") self.open(node) self.write('get { return "%s" ;}'%self.model.description.Abstract.replace("\n", "")) self.close(node) self.newline(extra=1) def url(self, node): self.write("public string URL") self.open(node) self.write('get { return "%s" ;}'%(self.model.description.url if "url" in dir(self.model.description) else "")) self.close(node) self.newline(extra=1) def domain(self, node): self.write("public string Domain") self.open(node) self.write('get { return "";}') self.close(node) self.newline(extra=1) def modelType(self, node): self.write("public string ModelType") self.open(node) self.write('get { return "";}') self.close(node) self.newline(extra=1) def isContext(self, node): self.write("public bool IsContext") self.open(node) self.write('get { return false;}') self.close(node) self.newline(extra=1) def isTimeStep(self, node): self.write("public IList<int> TimeStep") self.open(node) self.write("get") self.open(node) self.write("IList<int> ts = new List<int>();") self.newline(node) self.write("return ts;") self.close(node) self.close(node) self.newline(extra=1) def publisherdata(self, node): self.write("private PublisherData _pd;") self.newline(node) self.write("public PublisherData PublisherData") self.open(node) self.write("get { return _pd;} ") self.close(node) self.newline(extra=1) def modelingOptions(self, node): self.write("private ModellingOptionsManager _modellingOptionsManager;") self.newline(node) self.write("public ModellingOptionsManager ModellingOptionsManager") self.open(node) self.write("get { return _modellingOptionsManager; } ") self.close(node) self.newline(extra=1) def SetPublisherData(self, node): self.write("private void SetPublisherData()") self.open(node) self.write("_pd = new CRA.ModelLayer.MetadataTypes.PublisherData();") self.newline(node) self.write('_pd.Add("Creator", "%s");'%self.model.description.Authors) self.newline(node) self.write('_pd.Add("Date", "");') self.newline(node) self.write('_pd.Add("Publisher", "%s");'%self.model.description.Institution) self.close(node) self.newline(extra=1) def getStrategyDomainClassesTypes(self, node): self.write("public IEnumerable<Type> GetStrategyDomainClassesTypes()") self.open(node) self.write("return new List<Type>() { typeof(SiriusQuality%s.DomainClass.%sState), typeof(SiriusQuality%s.DomainClass.%sState), typeof(SiriusQuality%s.DomainClass.%sRate), typeof(SiriusQuality%s.DomainClass.%sAuxiliary), typeof(SiriusQuality%s.DomainClass.%sExogenous)};"%(self.name, self.name,self.name, self.name,self.name, self.name,self.name, self.name, self.name, self.name)) self.close(node) self.newline(extra=1) def SetParametersDefaultValue(self, node): self.write("public void SetParametersDefaultValue()") self.open(node) self.write("_modellingOptionsManager.SetParametersDefaultValue();") for m in self.model.model: self.newline(node) self.write("_%s.SetParametersDefaultValue();"%m.name) self.close(node) self.newline(extra=1) def varinfodef(self, node, pa): self.write('%sVarInfo.Name = "%s";'%(pa.name, pa.name)); self.newline(node) self.write('%sVarInfo.Description = "%s";'%(pa.name, pa.description)); self.newline(node) self.write('%sVarInfo.MaxValue = %s;'%(pa.name,pa.max if pa.max is not None else getdefault(pa))); self.newline(node) self.write('%sVarInfo.MinValue = %s;'%(pa.name, pa.min if pa.min is not None else getdefault(pa))); self.newline(node) self.write('%sVarInfo.DefaultValue = %s;'%(pa.name, getdefault(pa))); self.newline(node) self.write('%sVarInfo.Units = "%s";'%(pa.name, pa.unit if ("unit" in dir(pa) and pa.unit is not None) else "dimensionless")); self.newline(node) self.write('%sVarInfo.ValueType = VarInfoValueTypes.GetInstanceForName("%s");'%(pa.name, param_datatype[pa.datatype])); self.newline(node) def SetStaticParametersVarInfoDefinitions(self, node): self.write("private static void SetStaticParametersVarInfoDefinitions()") self.open(node) for pa in self.params: self.newline(extra=1) self.varinfodef(node, pa) self.close(node) self.newline(extra=1) def staticVarInfo(self, node): for pa in self.node_param: self.write("public static VarInfo %sVarInfo"%pa.name) self.open(node) self.write("get { return SiriusQuality%s.Strategies.%s.%sVarInfo;} "%(self.model.name,self.get_mo(pa.name)[0],pa.name)) self.close(node) self.newline(extra=1) def TestPostConditions(self, node): self.write("public string TestPostConditions(SiriusQuality%s.DomainClass.%sState s,SiriusQuality%s.DomainClass.%sState s1,SiriusQuality%s.DomainClass.%sRate r,SiriusQuality%s.DomainClass.%sAuxiliary a,SiriusQuality%s.DomainClass.%sExogenous ex,string callID)"%(self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name)) self.open(node) self.write("try") self.open(node) self.write("//Set current values of the outputs to the static VarInfo representing the output properties of the domain classes") for out in self.model.outputs: self.newline(node) self.write('SiriusQuality%s.DomainClass.%s%sVarInfo.%s.CurrentValue=%s.%s;'%(self.name, self.name, out.variablecategory.capitalize(),out.name,category[out.variablecategory], out.name)) self.newline(extra=1) self.write('ConditionsCollection prc = new ConditionsCollection();'); self.newline(node) self.write('Preconditions pre = new Preconditions(); ' ); self.newline(node) self.newline(extra=1) n = len(self.model.inputs) + 1 for out in self.model.outputs: self.newline(node) self.write("RangeBasedCondition r%s = new RangeBasedCondition(SiriusQuality%s.DomainClass.%s%sVarInfo.%s);"%(n,self.name, self.name, out.variablecategory.capitalize(), out.name)); self.newline(node) self.write("if(r%s.ApplicableVarInfoValueTypes.Contains( SiriusQuality%s.DomainClass.%s%sVarInfo.%s.ValueType)){prc.AddCondition(r%s);}"%(n, self.name, self.name, out.variablecategory.capitalize(), out.name, n)); self.newline(node) n = n+1 self.newline(extra=1) self.write('string ret = "";') self.newline(node) for m in self.model.model: self.write('ret += _%s.TestPostConditions(s, s1, r, a, ex, " strategy SiriusQuality%s.Strategies.%s");'%(m.name, self.model.name, self.name )) self.newline(node) self.write('if (ret != "") { pre.TestsOut(ret, true, " postconditions tests of associated classes"); }') self.newline(extra=1) self.write('string postConditionsResult = pre.VerifyPostconditions(prc, callID); if (!string.IsNullOrEmpty(postConditionsResult)) { pre.TestsOut(postConditionsResult, true, "PostConditions errors in strategy " + this.GetType().Name); } return postConditionsResult;') self.close(node) self.newline(node) self.write("catch (Exception exception)"); self.open(node) self.write('string msg = "Component SiriusQuality.%s, " + this.GetType().Name + ": Unhandled exception running post-condition test. ";'%self.name); self.newline(node) self.write('throw new Exception(msg, exception);'); self.newline(node) self.close(node) self.close(node) self.newline(extra=1) def TestPreConditions(self, node): self.write("public string TestPreConditions(SiriusQuality%s.DomainClass.%sState s,SiriusQuality%s.DomainClass.%sState s1,SiriusQuality%s.DomainClass.%sRate r,SiriusQuality%s.DomainClass.%sAuxiliary a,SiriusQuality%s.DomainClass.%sExogenous ex,string callID)"%(self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name)) self.open(node) self.write("try") self.open(node) self.write("//Set current values of the inputs to the static VarInfo representing the inputs properties of the domain classes") for inp in self.model.inputs: if "variablecategory" in dir(inp): self.newline(node) self.write('SiriusQuality%s.DomainClass.%s%sVarInfo.%s.CurrentValue=%s.%s;'%(self.name, self.name, inp.variablecategory.capitalize(),inp.name if not inp.name.endswith("_t1") else inp.name[:-3],category[inp.variablecategory], inp.name if not inp.name.endswith("_t1") else inp.name[:-3])) self.newline(node) self.write('ConditionsCollection prc = new ConditionsCollection();'); self.newline(node) self.write('Preconditions pre = new Preconditions(); ' ); self.newline(node) n = 1 for inp in self.model.inputs: if "variablecategory" in dir(inp): self.newline(node) self.write("RangeBasedCondition r%s = new RangeBasedCondition(SiriusQuality%s.DomainClass.%s%sVarInfo.%s);"%(n,self.name, self.name, inp.variablecategory.capitalize(), inp.name if not inp.name.endswith("_t1") else inp.name[:-3])); self.newline(node) self.write("if(r%s.ApplicableVarInfoValueTypes.Contains( SiriusQuality%s.DomainClass.%s%sVarInfo.%s.ValueType)){prc.AddCondition(r%s);}"%(n, self.name, self.name, inp.variablecategory.capitalize(), inp.name if not inp.name.endswith("_t1") else inp.name[:-3], n)); self.newline(node) n = n+1 self.newline(extra=1) for p in self.params: self.write('prc.AddCondition(new RangeBasedCondition(_modellingOptionsManager.GetParameterByName("%s")));'%p.name) self.newline(node) self.write('string ret = "";') self.newline(node) for m in self.model.model: self.write('ret += _%s.TestPreConditions(s, s1, r, a, ex, " strategy SiriusQuality%s.Strategies.%s");'%(m.name, self.model.name, self.name )) self.newline(node) self.write('if (ret != "") { pre.TestsOut(ret, true, " preconditions tests of associated classes"); }') self.newline(extra=1) self.write('string preConditionsResult = pre.VerifyPreconditions(prc, callID); if (!string.IsNullOrEmpty(preConditionsResult)) { pre.TestsOut(preConditionsResult, true, "PreConditions errors in component " + this.GetType().Name); } return preConditionsResult;') self.close(node) self.newline(node) self.write("catch (Exception exception)"); self.open(node) self.write('string msg = "Component SiriusQuality.%s, " + this.GetType().Name + ": Unhandled exception running pre-condition test. ";'%self.name); self.newline(node) self.write('throw new Exception(msg, exception);'); self.newline(node) self.close(node) self.close(node) self.newline(extra=1) def estimate(self, node): self.write("public void Estimate(SiriusQuality%s.DomainClass.%sState s,SiriusQuality%s.DomainClass.%sState s1,SiriusQuality%s.DomainClass.%sRate r,SiriusQuality%s.DomainClass.%sAuxiliary a,SiriusQuality%s.DomainClass.%sExogenous ex)"%(self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name)) self.open(node) self.write("try") self.open(node) self.write("CalculateModel(s, s1, r, a, ex);") self.close(node) self.newline(node) self.write("catch (Exception exception)") self.open(node) self.write('string msg = "Error in component SiriusQuality%s, strategy: " + this.GetType().Name + ": Unhandled exception running model. "+exception.GetType().FullName+" - "+exception.Message;'%self.name) self.newline(node) self.write('throw new Exception(msg, exception);') self.close(node) self.close(node) self.newline(extra=1) def calculateModel(self, node): self.write("private void CalculateModel(SiriusQuality%s.DomainClass.%sState s,SiriusQuality%s.DomainClass.%sState s1,SiriusQuality%s.DomainClass.%sRate r,SiriusQuality%s.DomainClass.%sAuxiliary a,SiriusQuality%s.DomainClass.%sExogenous ex)"%(self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name)) self.open(node) self.write("EstimateOfAssociatedClasses(s, s1, r, a, ex);") self.close(node) self.newline(extra=1) def copy_Constructor(self, node): self.write('public %sComponent(%sComponent toCopy): this() // copy constructor '%(self.model.name, self.model.name)) self.open(node) self.copyconstructor(self.node_param) self.close(node) def visit_module(self, node): self.usingBioma() self.newline(node) self.write("using SiriusQuality%s.DomainClass;"%self.model.name) self.newline(node) self.write("namespace SiriusQuality%s.Strategies"%self.model.name) self.open(node) self.write("public class %sComponent : IStrategySiriusQuality%s"%(self.model.name, self.model.name)) self.open(node) self.constructor(node) self.description(node) self.url(node) self.domain(node) self.modelType(node) self.isContext(node) self.isTimeStep(node) self.publisherdata(node) self.SetPublisherData(node) self.modelingOptions(node) self.getStrategyDomainClassesTypes(node) self.getsetParam(node,self.node_param) self.SetParametersDefaultValue(node) self.SetStaticParametersVarInfoDefinitions(node) self.staticVarInfo(node) self.TestPostConditions(node) self.TestPreConditions(node) self.estimate(node) self.calculateModel(node) self.createModelInstances() self.newline(extra=1) self.visit(node.body) self.newline(extra=1) self.copy_Constructor(self.node_param) self.newline(node) self.close(node) self.close(node) def visit_function_definition(self, node): if node.name.startswith("model"): self.write("private void EstimateOfAssociatedClasses(SiriusQuality%s.DomainClass.%sState s,SiriusQuality%s.DomainClass.%sState s1,SiriusQuality%s.DomainClass.%sRate r,SiriusQuality%s.DomainClass.%sAuxiliary a,SiriusQuality%s.DomainClass.%sExogenous ex)"%(self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name)) else: self.write("public void Init(SiriusQuality%s.DomainClass.%sState s,SiriusQuality%s.DomainClass.%sState s1,SiriusQuality%s.DomainClass.%sRate r,SiriusQuality%s.DomainClass.%sAuxiliary a,SiriusQuality%s.DomainClass.%sExogenous ex)"%(self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name,self.name)) self.init=True self.open(node) self.visit(node.block) self.close(node) self.newline(extra=1) def visit_implicit_return(self, node): self.newline(node) def visit_assignment(self, node): if "function" in dir(node.value) and node.value.function.split('_')[0]=="model": name = node.value.function.split('model_')[1] self.write("_%s.Estimate(s,s1, r, a, ex);"%(name)) self.newline(node) else: self.newline(node) self.visit(node.target) self.write(' = ') self.visit(node.value) self.write(";") self.newline(node) def interfaceStrategy(self, node): self.write('using System;'); self.newline(1) self.write('using CRA.AgroManagement;'); self.newline(1) self.write('using CRA.ModelLayer.Strategy;'); self.newline(1) self.write('namespace SiriusQuality%s.DomainClass'%(self.model.name)) self.open(node) self.write('public interface IStrategySiriusQuality%s : IStrategy'%self.model.name) self.open(node) self.write('void Estimate( %sState s, %sState s1, %sRate r, %sAuxiliary a, %sExogenous ex);'%(self.model.name, self.model.name, self.model.name, self.model.name, self.model.name)) self.newline(extra=1) self.write('string TestPreConditions( %sState s, %sState s1, %sRate r, %sAuxiliary a, %sExogenous ex, string callID);'%(self.model.name, self.model.name, self.model.name, self.model.name, self.model.name)) self.newline(extra=1) self.write('string TestPostConditions( %sState s, %sState s1, %sRate r, %sAuxiliary a, %sExogenous ex, string callID);'%(self.model.name, self.model.name, self.model.name, self.model.name, self.model.name)) self.newline(extra=1) self.write('void SetParametersDefaultValue();') self.close(node) self.close(node) def wrapper(self): self.write("using SQCrop2ML_%s.DomainClass;"%self.model.name) self.newline(1) self.write("using SQCrop2ML_%s.Strategies;"%self.model.name) self.newline(extra=1) self.write("namespace SiriusModel.Model.%s"%self.model.name) self.newline(1) self.write("{") self.newline(1) self.indentation += 1 self.write("class %sWrapper : UniverseLink"%self.model.name) self.newline(1) self.write("{") self.newline(1) self.indentation += 1 self.privateWrap() self.constrWrap() self.newline(extra=1) self.outputWrap() self.newline(extra=1) self.copyconstrWrap() self.newline(extra=1) self.initWrap() self.newline(extra=1) self.loadParamWrap() self.newline(extra=1) self.estimateWrap() self.newline(extra=1) self.indentation -= 1 self.write("}") self.newline(extra=1) self.indentation -= 1 self.write("}") def constrWrap(self): name = self.model.name self.write("public %sWrapper(Universe universe) : base(universe)"%(name)) self.newline(1) self.write("{") self.newline(1) self.indentation += 1 self.write("s = new %sState();"%(name)) self.newline(1) self.write("r = new %sRate();"%(name)) self.newline(1) self.write("a = new %sAuxiliary();"%(name)) self.newline(1) self.write("ex = new %sExogenous();"%(name)) self.newline(1) self.write("%sComponent = new %s();"%(name.lower(), name)) self.newline(1) self.write("loadParameters();") self.newline(1) self.indentation -= 1 self.write("}") def copyconstrWrap(self): self.write("public %sWrapper(Universe universe, %sWrapper toCopy, bool copyAll) : base(universe)"%(self.model.name,self.model.name)) self.newline(1) self.write("{") self.newline(1) self.indentation += 1 self.write("s = (toCopy.s != null) ? new %sState(toCopy.s, copyAll) : null;"%(self.model.name)) self.newline(1) self.newline(1) self.write("r = (toCopy.r != null) ? new %sRate(toCopy.r, copyAll) : null;"%(self.model.name)) self.newline(1) self.write("a = (toCopy.a != null) ? new %sAuxiliary(toCopy.a, copyAll) : null;"%(self.model.name)) self.newline(1) self.write("ex = (toCopy.ex != null) ? new %sExogenous(toCopy.ex, copyAll) : null;"%(self.model.name)) self.newline(1) self.write("if (copyAll)") self.newline(1) self.write("{") self.newline(1) self.indentation += 1 self.write("%sComponent = (toCopy.%sComponent != null) ? new %s(toCopy.%sComponent) : null;"%(self.model.name.lower(),self.model.name.lower(),self.model.name,self.model.name.lower())) self.newline(1) self.indentation -= 1 self.write("}") self.newline(1) self.indentation -= 1 self.write("}") def to_wrapper_sirius(models, rep, name): generator = SiriusCompo(model = models) generator.result=[u"using System;\nusing System.Collections.Generic;\nusing System.Linq;\n"] generator.model2Node() generator.wrapper() z= ''.join(generator.result) filename = Path(os.path.join(rep, "%sWrapper.cs"%name)) with open(filename, "wb") as tg2_file: tg2_file.write(z.encode('utf-8')) filename = Path(os.path.join(rep, "IStrategySiriusQuality%s.cs"%name)) generator2 = SiriusCompo(model = models) generator2.interfaceStrategy(1) z= ''.join(generator2.result) with open(filename, "wb") as tg2_file: tg2_file.write(z.encode('utf-8')) return 0

46.686555

389

0.620397

7,034

58,685

5.145152

0.057009

0.079799

0.082258

0.074024

0.834959

0.801691

0.76146

0.735128

0.702689

0.675914

0

0.00695

0.235

58,685

1,257

390

46.686555

0.799194

0.007242

0

0.714032

0

0.036412

0.302319

0.134947

0

1

0.071936

false

0

0.008881

0

0.084369

0

null

0

1

0

1

0

null

0

7

4a159a2173099b23d5b06695e800eee68088490c

87

py

Python

pymatex/listener/__init__.py

Gawaboumga/PyMatex

3ccc0aa23211a064aa31a9b509b108cd606a4992

[ "MIT" ]

1

2019-03-05T09:45:04.000Z

pymatex/listener/__init__.py

Gawaboumga/PyMatex

3ccc0aa23211a064aa31a9b509b108cd606a4992

[ "MIT" ]

null

pymatex/listener/__init__.py

Gawaboumga/PyMatex

3ccc0aa23211a064aa31a9b509b108cd606a4992

[ "MIT" ]

null

from pymatex.listener.MatexAST import * from pymatex.listener.MatexASTVisitor import *

29

46

0.83908

10

87

7.3

0.6

0.30137

0.520548

0

0.091954

87

2

47

43.5

0.924051

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

c57e2ecc46bb3ae7c029406126a7eb8bead7bbc9

2,458

py

Python

tests/util/test_builtin_operators.py

goodrain/pycasbin

1a481ba1af7619e1cc7e83896581d14976927d80

[ "Apache-2.0" ]

1

2019-12-24T17:47:37.000Z

tests/util/test_builtin_operators.py

goodrain/pycasbin

1a481ba1af7619e1cc7e83896581d14976927d80

[ "Apache-2.0" ]

null

tests/util/test_builtin_operators.py

goodrain/pycasbin

1a481ba1af7619e1cc7e83896581d14976927d80

[ "Apache-2.0" ]

null

from unittest import TestCase from casbin import util class TestBuiltinOperators(TestCase): def test_key_match(self): self.assertTrue(util.key_match_func("/foo", "/foo")) self.assertTrue(util.key_match_func("/foo", "/foo*")) self.assertFalse(util.key_match_func("/foo", "/foo/*")) self.assertFalse(util.key_match_func("/foo/bar", "/foo")) self.assertTrue(util.key_match_func("/foo/bar", "/foo*")) self.assertTrue(util.key_match_func("/foo/bar", "/foo/*")) self.assertFalse(util.key_match_func("/foobar", "/foo")) self.assertTrue(util.key_match_func("/foobar", "/foo*")) self.assertFalse(util.key_match_func("/foobar", "/foo/*")) def test_key_match2(self): self.assertTrue(util.key_match2_func("/foo", "/foo")) self.assertTrue(util.key_match2_func("/foo", "/foo*")) self.assertFalse(util.key_match2_func("/foo", "/foo/*")) self.assertTrue(util.key_match2_func("/foo/bar", "/foo")) # different with KeyMatch. self.assertTrue(util.key_match2_func("/foo/bar", "/foo*")) self.assertTrue(util.key_match2_func("/foo/bar", "/foo/*")) self.assertTrue(util.key_match2_func("/foobar", "/foo")) # different with KeyMatch. self.assertTrue(util.key_match2_func("/foobar", "/foo*")) self.assertFalse(util.key_match2_func("/foobar", "/foo/*")) self.assertFalse(util.key_match2_func("/", "/:resource")) self.assertTrue(util.key_match2_func("/resource1", "/:resource")) self.assertFalse(util.key_match2_func("/myid", "/:id/using/:resId")) self.assertTrue(util.key_match2_func("/myid/using/myresid", "/:id/using/:resId")) self.assertFalse(util.key_match2_func("/proxy/myid", "/proxy/:id/*")) self.assertTrue(util.key_match2_func("/proxy/myid/", "/proxy/:id/*")) self.assertTrue(util.key_match2_func("/proxy/myid/res", "/proxy/:id/*")) self.assertTrue(util.key_match2_func("/proxy/myid/res/res2", "/proxy/:id/*")) self.assertTrue(util.key_match2_func("/proxy/myid/res/res2/res3", "/proxy/:id/*")) self.assertFalse(util.key_match2_func("/proxy/", "/proxy/:id/*")) self.assertTrue(util.key_match2_func("/alice", "/:id")) self.assertTrue(util.key_match2_func("/alice/all", "/:id/all")) self.assertFalse(util.key_match2_func("/alice", "/:id/all")) self.assertFalse(util.key_match2_func("/alice/all", "/:id"))

54.622222

93

0.646461

315

2,458

4.828571

0.114286

0.147272

0.196581

0.257068

0.880342

0.869822

0.808021

0.737673

0.680473

0.526627

0

0.01334

0.146054

2,458

44

94

55.863636

0.711291

0.019935

0

0.212386

0.010391

0

0.864865

1

0.054054

false

0

0.054054

0

0.135135

0

null

0

1

0

null

0

1

0

7

c5b4af445927f3366ada89d007d718b47971f95d

66

py

Python

aitestflow/__init__.py

Wiinai/aitestflow

1cf40fa22f229f3c6b1088b61de40192ebe605c6

[ "MIT" ]

null

aitestflow/__init__.py

Wiinai/aitestflow

1cf40fa22f229f3c6b1088b61de40192ebe605c6

[ "MIT" ]

null

aitestflow/__init__.py

Wiinai/aitestflow

1cf40fa22f229f3c6b1088b61de40192ebe605c6

[ "MIT" ]

null

print("aitestflow") def ai_test_flow(): print("ai_test_flow")

16.5

25

0.712121

10

66

4.3

0.6

0.27907

0.465116

0

0.121212

66

4

25

16.5

0.741379

0

0.328358

0

1

0.333333

true

0

0.333333

0.666667

1

0

null

1

0

1

0

null

0

1

0

1

0

7

a85f80acf1c7bf8c56444c4bdfd8238e2e3f1dbd

3,965

py

Python

test/pyaz/sql/mi/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

test/pyaz/sql/mi/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

9

2021-09-24T16:37:24.000Z

2021-12-24T00:39:19.000Z

test/pyaz/sql/mi/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

import json, subprocess from ... pyaz_utils import get_cli_name, get_params def create(admin_user=None, admin_password=None, license_type=None, minimal_tls_version=None, subnet, capacity=None, storage=None, collation=None, proxy_override=None, public_data_endpoint_enabled=None, timezone_id=None, tags=None, backup_storage_redundancy=None, yes=None, maint_config_id=None, primary_user_assigned_identity_id=None, key_id=None, family=None, __NAME=None, tier=None, vnet_name=None, name, resource_group, location=None, assign_identity=None, __SKU=None, user_assigned_identity_id=None, identity_type=None, enable_ad_only_auth=None, external_admin_principal_type=None, external_admin_sid=None, external_admin_name=None, no_wait=None): params = get_params(locals()) command = "az sql mi create " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def delete(resource_group, name, yes=None, no_wait=None): params = get_params(locals()) command = "az sql mi delete " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def show(resource_group, name, expand_ad_admin=None): params = get_params(locals()) command = "az sql mi show " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def list(resource_group=None, expand_ad_admin=None): params = get_params(locals()) command = "az sql mi list " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def update(admin_password=None, tags=None, family=None, __NAME=None, tier=None, vnet_name=None, resource_group, name, license_type=None, capacity=None, storage=None, assign_identity=None, proxy_override=None, public_data_endpoint_enabled=None, minimal_tls_version=None, maint_config_id=None, primary_user_assigned_identity_id=None, key_id=None, identity_type=None, user_assigned_identity_id=None, subnet=None, set=None, add=None, remove=None, force_string=None, no_wait=None): params = get_params(locals()) command = "az sql mi update " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def failover(resource_group, name, replica_type=None, no_wait=None): params = get_params(locals()) command = "az sql mi failover " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr)

45.056818

652

0.705422

529

3,965

5.120983

0.177694

0.062016

0.044297

0.042082

0.773348

0.747508

0.72536

0.688446

0

0.003696

0.181084

3,965

87

653

45.574713

0.830613

0

0.825

0

0.040353

0

null

0.025

null

0.225

0

null

0

1

0

1

0

null

0

1

0

7

a8cf41aba089cdf402a29605d2082f45b1977ada

183

py

Python

Client/__init__.py

Ricky-Hao/IMPK-Client

791150a43fff157aa439716d63d6c4fece912b85

[ "MIT" ]

null

Client/__init__.py

Ricky-Hao/IMPK-Client

791150a43fff157aa439716d63d6c4fece912b85

[ "MIT" ]

null

Client/__init__.py

Ricky-Hao/IMPK-Client

791150a43fff157aa439716d63d6c4fece912b85

[ "MIT" ]

null

from Client.core import client from Client.core.route import * from Client.util import logger from Client.logic import mainWindow, app mainWindow.connectSignal = client.connectSignal

30.5

47

0.836066

25

183

6.12

0.44

0.261438

0.183007

0

0.10929

183

6

47

30.5

0.93865

0

1

0

true

0

0.8

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7