xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

1ee200c0bd1b6dc44194ce43e272adb66b847d6f

5,837

py

Python

flextensor/testing/others/hand-craft/config_yolo24_cpu.py

imxian/FlexTensor

311af3362856ea1b0073404fffad42c54585c205

[ "MIT" ]

135

2020-03-15T11:28:48.000Z

2022-03-26T00:54:32.000Z

flextensor/testing/others/hand-craft/config_yolo24_cpu.py

KnowingNothing/FlexTensor-Micro

6de200326d4999c56af3f3343282149bc5758c15

[ "MIT" ]

11

2020-03-23T11:06:38.000Z

2022-01-24T06:25:41.000Z

flextensor/testing/others/hand-craft/config_yolo24_cpu.py

KnowingNothing/FlexTensor-Micro

6de200326d4999c56af3f3343282149bc5758c15

[ "MIT" ]

32

2020-03-17T05:12:59.000Z

2022-03-26T00:54:33.000Z

""" Configurations of high performance schedules for conv2d_nchw YOLO convolution layer 24 Target Intel CPU ==================================== **Author**: `Size Zheng` the terms used below: ------------------------------------ method: fuse_and_bind --> only use parallel spatial_order: flatten --> bo, ko, po, qo, bm, km, pm, qm, bi, ki, pi, qi... reduce_order: flatten --> rco, ryo, rxo, rcm, rym, rxm, rci, ryi, rxi... spatial_reduce_relation: reduce_before_spatial --> ...rci, ryi, rxi, bi, ki, pi, qi cache_write_at: last_thread --> compute_at(stage, tx_axis) """ yolo_conv24_nchw_b1_cpu = { "method": "fuse_and_bind", "b_factors": [1, 1, 1], "k_factors": [1024, 1, 1], "p_factors": [1, 1, 7], "q_factors": [1, 1, 7], "rc_factors": [1, 16, 64], "ry_factors": [1, 1, 3], "rx_factors": [1, 1, 3], "spatial_order": "flatten", "reduce_order": "flatten", "spatial_reduce_relation": "reduce_before_spatial", "cache_write_at": "last_thread", "auto_unroll_max_step": 1500, "peformances": { "Core-i7-6700K": [17.2176128, 11.015653610229492], # [tvm vs. pytorch with MKL enabled] "Xeon-E5-2630-v4": [15.639831100000002, 10.886478424072266], "Xeon-E5-2690-v4": [11.5555504, 11.779093742370605], } } yolo_conv24_nchw_b2_cpu = { "method": "fuse_and_bind", "b_factors": [], "k_factors": [], "p_factors": [], "q_factors": [], "rc_factors": [], "ry_factors": [], "rx_factors": [], "spatial_order": "flatten", "reduce_order": "flatten", "spatial_reduce_relation": "reduce_before_spatial", "cache_write_at": "last_thread", "auto_unroll_max_step": 1500, "peformances": { "Core-i7-6700K": [], # [tvm vs. pytorch] "Xeon-E5-2630-v4": [], "Xeon-E5-2690-v4": [], } } yolo_conv24_nchw_b4_cpu = { "method": "fuse_and_bind", "b_factors": [], "k_factors": [], "p_factors": [], "q_factors": [], "rc_factors": [], "ry_factors": [], "rx_factors": [], "spatial_order": "flatten", "reduce_order": "flatten", "spatial_reduce_relation": "reduce_before_spatial", "cache_write_at": "last_thread", "auto_unroll_max_step": 1500, "peformances": { "Core-i7-6700K": [], # [tvm vs. pytorch] "Xeon-E5-2630-v4": [], "Xeon-E5-2690-v4": [], } } yolo_conv24_nchw_b8_cpu = { "method": "fuse_and_bind", "b_factors": [], "k_factors": [], "p_factors": [], "q_factors": [], "rc_factors": [], "ry_factors": [], "rx_factors": [], "spatial_order": "flatten", "reduce_order": "flatten", "spatial_reduce_relation": "reduce_before_spatial", "cache_write_at": "last_thread", "auto_unroll_max_step": 1500, "peformances": { "Core-i7-6700K": [], # [tvm vs. pytorch] "Xeon-E5-2630-v4": [], "Xeon-E5-2690-v4": [], } } yolo_conv24_nchw_b16_cpu = { "method": "fuse_and_bind", "b_factors": [16, 1, 1], "k_factors": [512, 1, 2], "p_factors": [1, 1, 7], "q_factors": [1, 1, 7], "rc_factors": [1, 32, 32], "ry_factors": [1, 1, 3], "rx_factors": [1, 1, 3], "spatial_order": "flatten", "reduce_order": "flatten", "spatial_reduce_relation": "reduce_before_spatial", "cache_write_at": "last_thread", "auto_unroll_max_step": 1500, "peformances": { "Core-i7-6700K": [287.4641678, 74.42233562469482], # [tvm vs. pytorch with MKL enabled] "Xeon-E5-2630-v4": [202.33267189999998, 47.089266777038574], "Xeon-E5-2690-v4": [123.31580509999999, 23.560667037963867], } } yolo_conv24_nchw_b32_cpu = { "method": "fuse_and_bind", "b_factors": [], "k_factors": [], "p_factors": [], "q_factors": [], "rc_factors": [], "ry_factors": [], "rx_factors": [], "spatial_order": "flatten", "reduce_order": "flatten", "spatial_reduce_relation": "reduce_before_spatial", "cache_write_at": "last_thread", "auto_unroll_max_step": 1500, "peformances": { "Core-i7-6700K": [], # [tvm vs. pytorch] "Xeon-E5-2630-v4": [], "Xeon-E5-2690-v4": [], } } yolo_conv24_nchw_b64_cpu = { "method": "fuse_and_bind", "b_factors": [], "k_factors": [], "p_factors": [], "q_factors": [], "rc_factors": [], "ry_factors": [], "rx_factors": [], "spatial_order": "flatten", "reduce_order": "flatten", "spatial_reduce_relation": "reduce_before_spatial", "cache_write_at": "last_thread", "auto_unroll_max_step": 1500, "peformances": { "Core-i7-6700K": [], # [tvm vs. pytorch] "Xeon-E5-2630-v4": [], "Xeon-E5-2690-v4": [], } } yolo_conv24_nchw_b128_cpu = { "method": "fuse_and_bind", "b_factors": [], "k_factors": [], "p_factors": [], "q_factors": [], "rc_factors": [], "ry_factors": [], "rx_factors": [], "spatial_order": "flatten", "reduce_order": "flatten", "spatial_reduce_relation": "reduce_before_spatial", "cache_write_at": "last_thread", "auto_unroll_max_step": 1500, "peformances": { "Core-i7-6700K": [], # [tvm vs. pytorch] "Xeon-E5-2630-v4": [], "Xeon-E5-2690-v4": [], } } yolo_conv24_nchw_b256_cpu = { "method": "fuse_and_bind", "b_factors": [], "k_factors": [], "p_factors": [], "q_factors": [], "rc_factors": [], "ry_factors": [], "rx_factors": [], "spatial_order": "flatten", "reduce_order": "flatten", "spatial_reduce_relation": "reduce_before_spatial", "cache_write_at": "last_thread", "auto_unroll_max_step": 1500, "peformances": { "Core-i7-6700K": [], # [tvm vs. pytorch] "Xeon-E5-2630-v4": [], "Xeon-E5-2690-v4": [], } }

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94c72a79aa986addd715749343ebbba4a82ec803

5,267

py

Python

tests/src/test_behavior_full.py

U8NWXD/scorevideo_lib

2af8c9ce6adc43af502aaa2a987ecc349b8ac16c

[ "BSD-3-Clause" ]

null

tests/src/test_behavior_full.py

U8NWXD/scorevideo_lib

2af8c9ce6adc43af502aaa2a987ecc349b8ac16c

[ "BSD-3-Clause" ]

1

2018-08-06T00:00:43.000Z

tests/src/test_behavior_full.py

U8NWXD/scorevideo_lib

2af8c9ce6adc43af502aaa2a987ecc349b8ac16c

[ "BSD-3-Clause" ]

1

2020-06-05T00:38:23.000Z

# This file is part of scorevideo_lib: A library for working with scorevideo # This file is part of scorevideo_lib: A library for working with scorevideo # Use of this file is governed by the license in LICENSE.txt. """Unit tests for the :py:class:BehaviorFull class """ import pytest from scorevideo_lib.parse_log import BehaviorFull # pragma pylint: disable=missing-docstring def test_init_invalid_time_two_decimal_points(): with pytest.raises(TypeError): BehaviorFull(" 171 0.05.70 Pot entry exit either") def test_init_invalid_raw_behavior(): with pytest.raises(TypeError): BehaviorFull("53946 29:58.20 C") def test_init_invalid_time_no_decimal_points(): with pytest.raises(TypeError): BehaviorFull(" 171 0:05:70 Pot entry exit either") def test_init_invalid_no_description(): with pytest.raises(TypeError): BehaviorFull(" 171 0:05.70 either") def test_init_valid_negative_frame(): BehaviorFull(" -171 0:05.70 Pot entry exit either") def test_init_valid_negative_time(): BehaviorFull(" 171 -0:05.70 Pot entry exit either") def test_init_invalid_nonnumeric_frame(): with pytest.raises(TypeError): BehaviorFull(" 17a1 0:05.70 Pot entry exit either") def test_init_invalid_nonnumeric_time(): with pytest.raises(TypeError): BehaviorFull(" 171 a0:05.70 Pot entry exit either") def test_init_invalid_no_frame(): with pytest.raises(TypeError): BehaviorFull(" 0:05.70 Pot entry exit either") def test_init_invalid_no_time(): with pytest.raises(TypeError): BehaviorFull(" 171 Pot entry exit either") def test_init_invalid_no_either(): with pytest.raises(TypeError): BehaviorFull(" 171 0:05.70 Pot entry exit ") def test_init_invalid_one_space(): with pytest.raises(TypeError): BehaviorFull(" 171 0:05.70 Pot entry exit either") def test_init_invalid_5_elems(): with pytest.raises(TypeError): BehaviorFull("| 171 0:05.70 Pot entry exit either ") def test_init_invalid_behavior(): with pytest.raises(TypeError): BehaviorFull(" 171 0:05.70 Pot entry exit! either") def test_init_invalid_subject(): with pytest.raises(TypeError): BehaviorFull(" 171 0:05.70 Pot entry exit both") def test_init_valid_normal(): BehaviorFull(" 171 28:52.70 Pot entry exit either") def test_init_valid_short_time(): BehaviorFull(" 171 0:05.70 Pot entry exit either") def test_init_valid_long_time(): BehaviorFull(" 171 0:01:05.70 Pot entry exit either") def test_lt_frame_positive(): one = BehaviorFull(" 171 0:01:05.70 Pot entry exit either") two = BehaviorFull(" 173 0:01:05.70 Pot entry exit either") assert one < two def test_lt_frame_negative(): one = BehaviorFull(" -173 0:01:05.70 Pot entry exit either") two = BehaviorFull(" -171 0:01:05.70 Pot entry exit either") assert one < two def test_lt_frame_both_signs(): one = BehaviorFull(" -171 0:01:05.70 Pot entry exit either") two = BehaviorFull(" 171 0:01:05.70 Pot entry exit either") assert one < two def test_lt_time_positive(): one = BehaviorFull(" 171 0:00:05.70 Pot entry exit either") two = BehaviorFull(" 171 0:01:05.70 Pot entry exit either") assert one < two def test_lt_time_negative(): one = BehaviorFull(" 171 -0:01:05.70 Pot entry exit either") two = BehaviorFull(" 171 -0:00:05.70 Pot entry exit either") assert one < two def test_lt_time_both_signs(): one = BehaviorFull(" 171 -0:01:05.70 Pot entry exit either") two = BehaviorFull(" 171 0:01:05.70 Pot entry exit either") assert one < two def test_lt_description(): one = BehaviorFull(" 171 0:01:05.70 Aot entry exit either") two = BehaviorFull(" 171 0:01:05.70 Pot entry exit either") assert one < two def test_lt_description_lexicographic(): one = BehaviorFull(" 171 0:01:05.70 Pot entry exit either") two = BehaviorFull(" 171 0:01:05.70 pot entry exit either") assert one < two def test_lt_subject(): one = BehaviorFull(" 171 0:01:05.70 Pot entry exit either") one.subject = "aeither" # Needed to avoid validator rejecting subject two = BehaviorFull(" 171 0:01:05.70 Pot entry exit either") assert one < two def test_lt_subject_lexicographic(): one = BehaviorFull(" 171 0:01:05.70 Pot entry exit either") one.subject = "Either" # Needed to avoid validator rejecting subject two = BehaviorFull(" 171 0:01:05.70 Pot entry exit either") assert one < two def test_lt_equal(): one = BehaviorFull(" 171 0:01:05.70 Pot entry exit either") two = BehaviorFull(" 171 0:01:05.70 Pot entry exit either") assert one >= two

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1

0

7

94e00741769d472e48a16d9d070914d0e2b98304

145

py

Python

pinax/submissions/compat.py

pinax/pinax-submissions

a3f3568f3a652a552661ed24a197d21b082d3df9

[ "MIT" ]

11

2015-10-16T19:31:57.000Z

2022-02-16T06:41:49.000Z

pinax/submissions/compat.py

pinax/pinax-submissions

a3f3568f3a652a552661ed24a197d21b082d3df9

[ "MIT" ]

6

2015-11-12T16:34:48.000Z

2020-03-21T02:24:29.000Z

pinax/pages/compat.py

pinax/pinax-pages

ad4101f390bf001a5d1c7bfd7a224d8f5acb3d7e

[ "MIT" ]

6

2016-07-02T21:11:21.000Z

2021-03-17T16:16:09.000Z

try: from account.decorators import login_required except ImportError: from django.contrib.auth.decorators import login_required # noqa

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8

a209e599a9f47e45ff861d4a0293b29328103b7d

31,632

py

Python

tests/common_tests/function_tests/test_collectors_manipulation.py

haihabi/model_optimization

97372a9596378bb2287c59f1180b5059f741b2d6

[ "Apache-2.0" ]

null

tests/common_tests/function_tests/test_collectors_manipulation.py

haihabi/model_optimization

97372a9596378bb2287c59f1180b5059f741b2d6

[ "Apache-2.0" ]

null

tests/common_tests/function_tests/test_collectors_manipulation.py

haihabi/model_optimization

97372a9596378bb2287c59f1180b5059f741b2d6

[ "Apache-2.0" ]

null

# Copyright 2021 Sony Semiconductors Israel, Inc. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== import unittest import numpy as np from model_compression_toolkit.common.collectors.statistics_collector import StatsCollector from model_compression_toolkit.common.collectors.statistics_collector import scale_statistics from model_compression_toolkit.common.collectors.statistics_collector import shift_statistics from model_compression_toolkit.common.framework_info import ChannelAxis def init_stats_container(num_of_input_channels, init_min=None, init_max=None): sc = StatsCollector(init_min_value=init_min, init_max_value=init_max, output_channel_index=ChannelAxis.NHWC) x = np.random.rand(1, 2, 3, num_of_input_channels) for i in range(100): sc.update_statistics(x) return sc def scale_stats_container(sc, num_of_scaling_factors): scaling_factor = np.random.random(num_of_scaling_factors) scaled_sc = scale_statistics(sc, scaling_factor) return scaled_sc, scaling_factor def shift_stats_container(sc, num_of_shifting_factors): shifting_factor = np.random.random(num_of_shifting_factors) shifted_sc = shift_statistics(sc, shifting_factor) return shifted_sc, shifting_factor class TestCollectorsManipulations(unittest.TestCase): ########### Test scaling ########### def test_mean_scale_per_channel(self, num_of_scaling_factors=10): sc = init_stats_container(num_of_scaling_factors) mean = sc.get_mean() scaled_sc, scaling_factor = scale_stats_container(sc, num_of_scaling_factors) scaled_mean = scaled_sc.get_mean() self.assertTrue(np.allclose(scaled_mean / scaling_factor, mean)) def test_mean_scale_per_tensor(self, num_of_scaling_factors=1): sc = init_stats_container(num_of_scaling_factors) mean = sc.get_mean() scaled_sc, scaling_factor = scale_stats_container(sc, num_of_scaling_factors) scaled_mean = scaled_sc.get_mean() self.assertTrue(np.allclose(scaled_mean / scaling_factor, mean)) def test_histogram_scale_per_channel(self, num_of_scaling_factors=10): sc = init_stats_container(num_of_scaling_factors) bins, _ = sc.hc.get_histogram() scaled_sc, scaling_factor = scale_stats_container(sc, num_of_scaling_factors) with self.assertRaises(Exception): scaled_sc.hc.get_histogram() # data is corrupted. expect exception def test_histogram_scale_per_tensor(self, num_of_scaling_factors=1): sc = init_stats_container(num_of_scaling_factors) bins, _ = sc.hc.get_histogram() scaled_sc, scaling_factor = scale_stats_container(sc, num_of_scaling_factors) scaled_bins, _ = scaled_sc.hc.get_histogram() self.assertTrue(np.allclose(scaled_bins / scaling_factor, bins)) def test_min_max_scale_per_channel(self, num_of_scaling_factors=10): sc = init_stats_container(num_of_scaling_factors) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel scaled_sc, scaling_factor = scale_stats_container(sc, num_of_scaling_factors) min_pc_scaled, max_pc_scaled = scaled_sc.mpcc.min_per_channel, scaled_sc.mpcc.max_per_channel self.assertTrue(np.allclose(min_pc_scaled / scaling_factor, min_pc)) self.assertTrue(np.allclose(max_pc_scaled / scaling_factor, max_pc)) def test_min_max_scale_per_tensor(self, num_of_scaling_factors=1): sc = init_stats_container(num_of_scaling_factors) scaled_sc, scaling_factor = scale_stats_container(sc, num_of_scaling_factors) self.assertTrue(np.allclose(scaled_sc.get_min_max_values() / scaling_factor, sc.get_min_max_values())) ########### Test shifting ############ def test_mean_shift_per_channel(self, num_of_shifting_factors=10): sc = init_stats_container(num_of_shifting_factors) mean = sc.get_mean() shifted_sc, shifting_factor = shift_stats_container(sc, num_of_shifting_factors) shifted_mean = shifted_sc.get_mean() self.assertTrue(np.allclose(shifted_mean - shifting_factor, mean)) def test_mean_shift_per_tensor(self, num_of_shifting_factors=1): sc = init_stats_container(num_of_shifting_factors) mean = sc.get_mean() shifted_sc, shifting_factor = shift_stats_container(sc, num_of_shifting_factors) shifted_mean = shifted_sc.get_mean() self.assertTrue(np.allclose(shifted_mean - shifting_factor, mean)) def test_histogram_shift_per_channel(self, num_of_shifting_factors=10): sc = init_stats_container(num_of_shifting_factors) bins, _ = sc.hc.get_histogram() shifted_sc, shifting_factor = shift_stats_container(sc, num_of_shifting_factors) with self.assertRaises(Exception): shifted_sc.hc.get_histogram() # data is corrupted. expect exception def test_histogram_shift_per_tensor(self, num_of_shifting_factors=1): sc = init_stats_container(num_of_shifting_factors) bins, _ = sc.hc.get_histogram() shifted_sc, shifting_factor = shift_stats_container(sc, num_of_shifting_factors) shifted_bins, _ = shifted_sc.hc.get_histogram() self.assertTrue(np.allclose(shifted_bins - shifting_factor, bins)) def test_min_max_shift_per_channel(self, num_of_shifting_factors=10): sc = init_stats_container(num_of_shifting_factors) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = shift_stats_container(sc, num_of_shifting_factors) min_pc_shifted, max_pc_shifted = shifted_sc.mpcc.min_per_channel, shifted_sc.mpcc.max_per_channel self.assertTrue(np.allclose(min_pc_shifted - shifting_factor, min_pc)) self.assertTrue(np.allclose(max_pc_shifted - shifting_factor, max_pc)) def test_min_max_shift_per_tensor(self, num_of_shifting_factors=1): sc = init_stats_container(num_of_shifting_factors) shifted_sc, shifting_factor = shift_stats_container(sc, num_of_shifting_factors) self.assertTrue(np.allclose(shifted_sc.get_min_max_values() - shifting_factor, sc.get_min_max_values())) ########### Test scaling -> shifting (same granularity) ########### def test_mean_scale_shift_per_channel(self, num_of_input_channels=10): sc = init_stats_container(num_of_input_channels) mean = sc.get_mean() scaled_sc, scaling_factor = scale_stats_container(sc, num_of_input_channels) final_sc, shifting_factor = shift_stats_container(scaled_sc, num_of_input_channels) final_mean = final_sc.get_mean() restored_mean = (final_mean - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_mean, mean)) def test_mean_scale_shift_per_tensor(self, num_of_input_channels=1): sc = init_stats_container(num_of_input_channels) mean = sc.get_mean() scaled_sc, scaling_factor = scale_stats_container(sc, num_of_input_channels) final_sc, shifting_factor = shift_stats_container(scaled_sc, num_of_input_channels) final_mean = final_sc.get_mean() restored_mean = (final_mean - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_mean, mean)) def test_histogram_scale_shift_per_channel(self, num_of_input_channels=10): sc = init_stats_container(num_of_input_channels) bins, _ = sc.hc.get_histogram() scaled_sc, scaling_factor = scale_stats_container(sc, num_of_input_channels) final_sc, shifting_factor = shift_stats_container(scaled_sc, num_of_input_channels) with self.assertRaises(Exception): final_sc.hc.get_histogram() def test_histogram_scale_shift_per_tensor(self, num_of_input_channels=1): sc = init_stats_container(num_of_input_channels) bins, _ = sc.hc.get_histogram() scaled_sc, scaling_factor = scale_stats_container(sc, num_of_input_channels) final_sc, shifting_factor = shift_stats_container(scaled_sc, num_of_input_channels) final_bins, _ = final_sc.hc.get_histogram() restored_bins = (final_bins - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_bins, bins)) def test_minmax_scale_shift_per_channel(self, num_of_input_channels=10): sc = init_stats_container(num_of_input_channels) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel scaled_sc, scaling_factor = scale_stats_container(sc, num_of_input_channels) final_sc, shifting_factor = shift_stats_container(scaled_sc, num_of_input_channels) min_pc_final, max_pc_final = final_sc.mpcc.min_per_channel, final_sc.mpcc.max_per_channel restored_min_pc = (min_pc_final - shifting_factor) / scaling_factor restored_max_pc = (max_pc_final - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) def test_minmax_scale_shift_per_tensor(self, num_of_input_channels=1): sc = init_stats_container(num_of_input_channels) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel scaled_sc, scaling_factor = scale_stats_container(sc, num_of_input_channels) final_sc, shifting_factor = shift_stats_container(scaled_sc, num_of_input_channels) min_pc_final, max_pc_final = final_sc.mpcc.min_per_channel, final_sc.mpcc.max_per_channel restored_min_pc = (min_pc_final - shifting_factor) / scaling_factor restored_max_pc = (max_pc_final - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) ########### Test scaling -> shifting -> scaling (same granularity) ########### def test_mean_scale_shift_scale_per_channel(self, num_of_input_channels=10): sc = init_stats_container(num_of_input_channels) mean = sc.get_mean() scaled_sc, scaling_factor = scale_stats_container(sc, num_of_input_channels) shifted_sc, shifting_factor = shift_stats_container(scaled_sc, num_of_input_channels) final_sc, scaling_factor2 = scale_stats_container(shifted_sc, num_of_input_channels) final_mean = final_sc.get_mean() restored_mean = (final_mean / scaling_factor2 - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_mean, mean)) def test_mean_scale_shift_scale_per_tensor(self, num_of_input_channels=1): sc = init_stats_container(num_of_input_channels) mean = sc.get_mean() scaled_sc, scaling_factor = scale_stats_container(sc, num_of_input_channels) shifted_sc, shifting_factor = shift_stats_container(scaled_sc, num_of_input_channels) final_sc, scaling_factor2 = scale_stats_container(shifted_sc, num_of_input_channels) final_mean = final_sc.get_mean() restored_mean = (final_mean / scaling_factor2 - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_mean, mean)) def test_histogram_scale_shift_scale_per_channel(self, num_of_input_channels=10): sc = init_stats_container(num_of_input_channels) bins, _ = sc.hc.get_histogram() scaled_sc, scaling_factor = scale_stats_container(sc, num_of_input_channels) shifted_sc, shifting_factor = shift_stats_container(scaled_sc, num_of_input_channels) final_sc, scaling_factor2 = scale_stats_container(shifted_sc, num_of_input_channels) with self.assertRaises(Exception): final_sc.hc.get_histogram() def test_histogram_scale_shift_scale_per_tensor(self, num_of_input_channels=1): sc = init_stats_container(num_of_input_channels) bins, _ = sc.hc.get_histogram() scaled_sc, scaling_factor = scale_stats_container(sc, num_of_input_channels) shifted_sc, shifting_factor = shift_stats_container(scaled_sc, num_of_input_channels) final_sc, scaling_factor2 = scale_stats_container(shifted_sc, num_of_input_channels) final_bins, _ = final_sc.hc.get_histogram() restored_bins = (final_bins / scaling_factor2 - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_bins, bins)) def test_minmax_scale_shift_scale_per_channel(self, num_of_input_channels=10): sc = init_stats_container(num_of_input_channels) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel scaled_sc, scaling_factor = scale_stats_container(sc, num_of_input_channels) shifted_sc, shifting_factor = shift_stats_container(scaled_sc, num_of_input_channels) final_sc, scaling_factor2 = scale_stats_container(shifted_sc, num_of_input_channels) min_pc_final, max_pc_final = final_sc.mpcc.min_per_channel, final_sc.mpcc.max_per_channel restored_min_pc = (min_pc_final / scaling_factor2 - shifting_factor) / scaling_factor restored_max_pc = (max_pc_final / scaling_factor2 - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) def test_minmax_scale_shift_scale_per_tensor(self, num_of_input_channels=1): sc = init_stats_container(num_of_input_channels) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel scaled_sc, scaling_factor = scale_stats_container(sc, num_of_input_channels) shifted_sc, shifting_factor = shift_stats_container(scaled_sc, num_of_input_channels) final_sc, scaling_factor2 = scale_stats_container(shifted_sc, num_of_input_channels) min_pc_final, max_pc_final = final_sc.mpcc.min_per_channel, final_sc.mpcc.max_per_channel restored_min_pc = (min_pc_final / scaling_factor2 - shifting_factor) / scaling_factor restored_max_pc = (max_pc_final / scaling_factor2 - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) ########### Test scaling -> shifting (different granularity) ########### def test_mean_scale_per_channel_shift_per_tensor(self, num_scale_factors=10, num_shift_factors=1): sc = init_stats_container(max(num_scale_factors, num_shift_factors)) mean = sc.get_mean() scaled_sc, scaling_factor = scale_stats_container(sc, num_scale_factors) final_sc, shifting_factor = shift_stats_container(scaled_sc, num_shift_factors) final_mean = final_sc.get_mean() restored_mean = (final_mean - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_mean, mean)) def test_mean_scale_per_tensor_shift_per_channel(self, num_scale_factors=1, num_shift_factors=10): sc = init_stats_container(max(num_scale_factors, num_shift_factors)) mean = sc.get_mean() scaled_sc, scaling_factor = scale_stats_container(sc, num_scale_factors) final_sc, shifting_factor = shift_stats_container(scaled_sc, num_shift_factors) final_mean = final_sc.get_mean() restored_mean = (final_mean - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_mean, mean)) def test_histogram_scale_per_channel_shift_per_tensor(self, num_scale_factors=10, num_shift_factors=1): sc = init_stats_container(max(num_scale_factors, num_shift_factors)) scaled_sc, scaling_factor = scale_stats_container(sc, num_scale_factors) final_sc, shifting_factor = shift_stats_container(scaled_sc, num_shift_factors) with self.assertRaises(Exception): final_sc.hc.get_histogram() def test_histogram_scale_per_tensor_shift_per_channel(self, num_scale_factors=1, num_shift_factors=10): sc = init_stats_container(max(num_scale_factors, num_shift_factors)) scaled_sc, scaling_factor = scale_stats_container(sc, num_scale_factors) final_sc, shifting_factor = shift_stats_container(scaled_sc, num_shift_factors) with self.assertRaises(Exception): final_sc.hc.get_histogram() def test_minmax_scale_per_channel_shift_per_tensor(self, num_scale_factors=10, num_shift_factors=1): sc = init_stats_container(max(num_scale_factors, num_shift_factors)) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel scaled_sc, scaling_factor = scale_stats_container(sc, num_scale_factors) final_sc, shifting_factor = shift_stats_container(scaled_sc, num_shift_factors) min_pc_final, max_pc_final = final_sc.mpcc.min_per_channel, final_sc.mpcc.max_per_channel restored_min_pc = (min_pc_final - shifting_factor) / scaling_factor restored_max_pc = (max_pc_final - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) def test_minmax_scale_per_tensor_shift_per_channel(self, num_scale_factors=1, num_shift_factors=10): sc = init_stats_container(max(num_scale_factors, num_shift_factors)) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel scaled_sc, scaling_factor = scale_stats_container(sc, num_scale_factors) final_sc, shifting_factor = shift_stats_container(scaled_sc, num_shift_factors) min_pc_final, max_pc_final = final_sc.mpcc.min_per_channel, final_sc.mpcc.max_per_channel restored_min_pc = (min_pc_final - shifting_factor) / scaling_factor restored_max_pc = (max_pc_final - shifting_factor) / scaling_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) ########### Test shifting -> scaling (different granularity) ########### def test_mean_shift_per_channel_scale_per_tensor(self, num_scale_factors=10, num_shift_factors=1): sc = init_stats_container(max(num_scale_factors, num_shift_factors)) mean = sc.get_mean() shifted_sc, shifting_factor = shift_stats_container(sc, num_shift_factors) final_sc, scaling_factor = scale_stats_container(shifted_sc, num_scale_factors) final_mean = final_sc.get_mean() restored_mean = final_mean / scaling_factor - shifting_factor self.assertTrue(np.allclose(restored_mean, mean)) def test_mean_shift_per_tensor_scale_per_channel(self, num_scale_factors=1, num_shift_factors=10): sc = init_stats_container(max(num_scale_factors, num_shift_factors)) mean = sc.get_mean() shifted_sc, shifting_factor = shift_stats_container(sc, num_shift_factors) final_sc, scaling_factor = scale_stats_container(shifted_sc, num_scale_factors) final_mean = final_sc.get_mean() restored_mean = final_mean / scaling_factor - shifting_factor self.assertTrue(np.allclose(restored_mean, mean)) def test_histogram_shift_per_channel_scale_per_tensor(self, num_scale_factors=10, num_shift_factors=1): sc = init_stats_container(max(num_scale_factors, num_shift_factors)) shifted_sc, shifting_factor = shift_stats_container(sc, num_shift_factors) final_sc, scaling_factor = scale_stats_container(shifted_sc, num_scale_factors) with self.assertRaises(Exception): final_sc.hc.get_histogram() def test_histogram_shift_per_tensor_scale_per_channel(self, num_scale_factors=1, num_shift_factors=10): sc = init_stats_container(max(num_scale_factors, num_shift_factors)) shifted_sc, shifting_factor = shift_stats_container(sc, num_shift_factors) final_sc, scaling_factor = scale_stats_container(shifted_sc, num_scale_factors) with self.assertRaises(Exception): final_sc.hc.get_histogram() def test_minmax_shift_per_channel_scale_per_tensor(self, num_scale_factors=10, num_shift_factors=1): sc = init_stats_container(max(num_scale_factors, num_shift_factors)) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = shift_stats_container(sc, num_shift_factors) final_sc, scaling_factor = scale_stats_container(shifted_sc, num_scale_factors) min_pc_final, max_pc_final = final_sc.mpcc.min_per_channel, final_sc.mpcc.max_per_channel restored_min_pc = min_pc_final / scaling_factor - shifting_factor restored_max_pc = max_pc_final / scaling_factor - shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) def test_minmax_shift_per_tensor_scale_per_channel(self, num_scale_factors=1, num_shift_factors=10): sc = init_stats_container(max(num_scale_factors, num_shift_factors)) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = shift_stats_container(sc, num_shift_factors) final_sc, scaling_factor = scale_stats_container(shifted_sc, num_scale_factors) min_pc_final, max_pc_final = final_sc.mpcc.min_per_channel, final_sc.mpcc.max_per_channel restored_min_pc = min_pc_final / scaling_factor - shifting_factor restored_max_pc = max_pc_final / scaling_factor - shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) ########### Test shifting for collector with init values ########### def test_minmax_shift_per_channel_init_min(self, num_of_shifting_factors=10): sc = init_stats_container(num_of_shifting_factors, init_min=0) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = shift_stats_container(sc, num_of_shifting_factors) min_pc_final, max_pc_final = shifted_sc.mpcc.min_per_channel, shifted_sc.mpcc.max_per_channel restored_min_pc = min_pc_final - shifting_factor restored_max_pc = max_pc_final - shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) min_final, max_final = shifted_sc.get_min_max_values() self.assertTrue(np.allclose(min_final, np.min(min_pc + shifting_factor))) self.assertTrue(np.allclose(max_final, np.max(max_pc + shifting_factor))) def test_minmax_shift_per_channel_init_max(self, num_of_shifting_factors=10): sc = init_stats_container(num_of_shifting_factors, init_max=99) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = shift_stats_container(sc, num_of_shifting_factors) min_pc_final, max_pc_final = shifted_sc.mpcc.min_per_channel, shifted_sc.mpcc.max_per_channel restored_min_pc = min_pc_final - shifting_factor restored_max_pc = max_pc_final - shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) min_final, max_final = shifted_sc.get_min_max_values() # init values should be ignored as stats were shifted per-channel self.assertTrue(np.allclose(max_final, np.max(max_pc + shifting_factor))) self.assertTrue(np.allclose(min_final, np.min(min_pc + shifting_factor))) def test_minmax_shift_per_tensor_init_min(self, num_of_shifting_factors=1): sc = init_stats_container(num_of_shifting_factors, init_min=0) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = shift_stats_container(sc, num_of_shifting_factors) min_pc_final, max_pc_final = shifted_sc.mpcc.min_per_channel, shifted_sc.mpcc.max_per_channel restored_min_pc = min_pc_final - shifting_factor restored_max_pc = max_pc_final - shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) def test_minmax_shift_per_tensor_init_max(self, num_of_shifting_factors=1): sc = init_stats_container(num_of_shifting_factors, init_max=99) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = shift_stats_container(sc, num_of_shifting_factors) min_pc_final, max_pc_final = shifted_sc.mpcc.min_per_channel, shifted_sc.mpcc.max_per_channel restored_min_pc = min_pc_final - shifting_factor restored_max_pc = max_pc_final - shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) def test_minmax_shift_per_channel_init_minmax(self, num_of_shifting_factors=10): sc = init_stats_container(num_of_shifting_factors, init_min=0, init_max=99) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = shift_stats_container(sc, num_of_shifting_factors) min_pc_final, max_pc_final = shifted_sc.mpcc.min_per_channel, shifted_sc.mpcc.max_per_channel restored_min_pc = min_pc_final - shifting_factor restored_max_pc = max_pc_final - shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) min_final, max_final = shifted_sc.get_min_max_values() # init values should be ignored as stats were shifted per-channel self.assertTrue(np.allclose(min_final, np.min(min_pc + shifting_factor))) self.assertTrue(np.allclose(max_final, np.max(max_pc + shifting_factor))) def test_minmax_shift_per_tensor_init_minmax(self, num_of_shifting_factors=1): sc = init_stats_container(num_of_shifting_factors, init_min=0, init_max=99) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = shift_stats_container(sc, num_of_shifting_factors) min_pc_final, max_pc_final = shifted_sc.mpcc.min_per_channel, shifted_sc.mpcc.max_per_channel restored_min_pc = min_pc_final - shifting_factor restored_max_pc = max_pc_final - shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) ########### Test scaling for collector with init values ########### def test_minmax_scale_per_channel_init_min(self, num_of_scaling_factors=10): sc = init_stats_container(num_of_scaling_factors, init_min=0) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = scale_stats_container(sc, num_of_scaling_factors) min_pc_final, max_pc_final = shifted_sc.mpcc.min_per_channel, shifted_sc.mpcc.max_per_channel restored_min_pc = min_pc_final / shifting_factor restored_max_pc = max_pc_final / shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) min_final, max_final = shifted_sc.get_min_max_values() self.assertTrue(np.allclose(min_final, np.min(min_pc * shifting_factor))) self.assertTrue(np.allclose(max_final, np.max(max_pc * shifting_factor))) def test_minmax_scale_per_channel_init_max(self, num_of_scaling_factors=10): sc = init_stats_container(num_of_scaling_factors, init_max=99) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = scale_stats_container(sc, num_of_scaling_factors) min_pc_final, max_pc_final = shifted_sc.mpcc.min_per_channel, shifted_sc.mpcc.max_per_channel restored_min_pc = min_pc_final / shifting_factor restored_max_pc = max_pc_final / shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) min_final, max_final = shifted_sc.get_min_max_values() self.assertTrue(np.allclose(max_final, np.max(max_pc * shifting_factor))) self.assertTrue(np.allclose(min_final, np.min(min_pc * shifting_factor))) def test_minmax_scale_per_tensor_init_min(self, num_of_scaling_factors=1): sc = init_stats_container(num_of_scaling_factors, init_min=0) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = scale_stats_container(sc, num_of_scaling_factors) min_pc_final, max_pc_final = shifted_sc.mpcc.min_per_channel, shifted_sc.mpcc.max_per_channel restored_min_pc = min_pc_final / shifting_factor restored_max_pc = max_pc_final / shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) def test_minmax_scale_per_tensor_init_max(self, num_of_scaling_factors=1): sc = init_stats_container(num_of_scaling_factors, init_max=99) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = scale_stats_container(sc, num_of_scaling_factors) min_pc_final, max_pc_final = shifted_sc.mpcc.min_per_channel, shifted_sc.mpcc.max_per_channel restored_min_pc = min_pc_final / shifting_factor restored_max_pc = max_pc_final / shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) def test_minmax_scale_per_channel_init_minmax(self, num_of_scaling_factors=10): sc = init_stats_container(num_of_scaling_factors, init_min=0, init_max=99) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = scale_stats_container(sc, num_of_scaling_factors) min_pc_final, max_pc_final = shifted_sc.mpcc.min_per_channel, shifted_sc.mpcc.max_per_channel restored_min_pc = min_pc_final / shifting_factor restored_max_pc = max_pc_final / shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) min_final, max_final = shifted_sc.get_min_max_values() self.assertTrue(np.allclose(min_final, np.min(min_pc * shifting_factor))) self.assertTrue(np.allclose(max_final, np.max(max_pc * shifting_factor))) def test_minmax_scale_per_tensor_init_minmax(self, num_of_scaling_factors=1): sc = init_stats_container(num_of_scaling_factors, init_min=0, init_max=99) min_pc, max_pc = sc.mpcc.min_per_channel, sc.mpcc.max_per_channel shifted_sc, shifting_factor = scale_stats_container(sc, num_of_scaling_factors) min_pc_final, max_pc_final = shifted_sc.mpcc.min_per_channel, shifted_sc.mpcc.max_per_channel restored_min_pc = min_pc_final / shifting_factor restored_max_pc = max_pc_final / shifting_factor self.assertTrue(np.allclose(restored_min_pc, min_pc)) self.assertTrue(np.allclose(restored_max_pc, max_pc)) if __name__ == '__main__': unittest.main()

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bfd7ae63b85aa9dd95767f903456daf3c6bbada9

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Python

unit_tests/test_evaluate_f1_update_confusion_matrix.py

fensta/bracid2019

ad9bf0b4e44c19f66c1597e857ef6cf70f56a646

[ "MIT" ]

null

unit_tests/test_evaluate_f1_update_confusion_matrix.py

fensta/bracid2019

ad9bf0b4e44c19f66c1597e857ef6cf70f56a646

[ "MIT" ]

null

unit_tests/test_evaluate_f1_update_confusion_matrix.py

fensta/bracid2019

ad9bf0b4e44c19f66c1597e857ef6cf70f56a646

[ "MIT" ]

null

from unittest import TestCase from collections import Counter import pandas as pd from scripts.utils import evaluate_f1_update_confusion_matrix, Data, Bounds import scripts.vars as my_vars class TestEvaluateF1UpdateConfusionMatrix(TestCase): """Tests evaluate_f1_update_confusion_matrix() in utils.py""" def test_evaluate_f1_update_confusion_matrix_updated(self): """Tests what happens if input has a numeric and a nominal feature and a rule that predicts an example is updated""" df = pd.DataFrame({"A": ["low", "low", "high", "low", "low", "high"], "B": [1, 1, 4, 1.5, 0.5, 0.75], "C": [3, 2, 1, .5, 3, 2], "Class": ["apple", "apple", "banana", "banana", "banana", "banana"]}) class_col_name = "Class" lookup = \ { "A": { 'high': 2, 'low': 4, my_vars.CONDITIONAL: { 'high': Counter({ 'banana': 2 }), 'low': Counter({ 'banana': 2, 'apple': 2 }) } } } classes = ["apple", "banana"] min_max = pd.DataFrame({"B": {"min": 1, "max": 5}, "C": {"min": 1, "max": 11}}) my_vars.minority_class = "apple" rules = [ pd.Series({"A": "low", "B": Bounds(lower=1, upper=1), "C": Bounds(lower=3, upper=3), "Class": "apple"}, name=0), pd.Series({"A": "low", "B": Bounds(lower=1, upper=1), "C": Bounds(lower=2, upper=2), "Class": "apple"}, name=1), pd.Series({"A": "high", "B": Bounds(lower=4, upper=4), "C": Bounds(lower=1, upper=1), "Class": "banana"}, name=2), pd.Series({"A": "low", "B": Bounds(lower=1.5, upper=1.5), "C": Bounds(lower=0.5, upper=0.5), "Class": "banana"}, name=3), pd.Series({"A": "low", "B": Bounds(lower=0.5, upper=0.5), "C": Bounds(lower=3, upper=3), "Class": "banana"}, name=4), pd.Series({"A": "high", "B": Bounds(lower=0.75, upper=0.75), "C": Bounds(lower=2, upper=2), "Class": "banana"}, name=5) ] my_vars.closest_rule_per_example = { 0: Data(rule_id=1, dist=0.010000000000000002), 1: Data(rule_id=0, dist=0.010000000000000002), 2: Data(rule_id=5, dist=0.67015625), 3: Data(rule_id=1, dist=0.038125), 4: Data(rule_id=0, dist=0.015625), 5: Data(rule_id=2, dist=0.67015625)} my_vars.examples_covered_by_rule = {} my_vars.closest_examples_per_rule = {0: {1, 4}, 1: {0, 3}, 2: {5}, 5: {2}} my_vars.seed_rule_example = {0: 0, 1: 1, 2: 2, 3: 3, 4: 4, 5: 5} my_vars.seed_example_rule = {0: {0}, 1: {1}, 2: {2}, 3: {3}, 4: {4}, 5: {5}} my_vars.all_rules = {0: rules[0], 1: rules[1], 2: rules[2], 3: rules[3], 4: rules[4], 5: rules[5]} my_vars.conf_matrix = {my_vars.TP: {0, 1}, my_vars.FP: {3, 4}, my_vars.TN: {2, 5}, my_vars.FN: set()} new_rule = pd.Series({"A": "low", "B": Bounds(lower=0.5, upper=1.0), "C": Bounds(lower=3, upper=3), "Class": "banana"}, name=0) # tagged, initial_rules = add_tags_and_extract_rules(df, 2, class_col_name, lookup, min_max, classes) correct_f1 = 0.8 f1 = evaluate_f1_update_confusion_matrix(df, new_rule, class_col_name, lookup, min_max, classes) correct_closest_rule_per_example = { 0: Data(rule_id=1, dist=0.010000000000000002), 1: Data(rule_id=0, dist=0.010000000000000002), 2: Data(rule_id=5, dist=0.67015625), 3: Data(rule_id=1, dist=0.038125), 4: Data(rule_id=0, dist=0.0), 5: Data(rule_id=2, dist=0.67015625)} print(f1, correct_f1) self.assertTrue(f1 == correct_f1) for example_id in my_vars.closest_rule_per_example: rule_id, dist = my_vars.closest_rule_per_example[example_id] self.assertTrue(rule_id == correct_closest_rule_per_example[example_id][0] and abs(dist - correct_closest_rule_per_example[example_id][1]) < 0.001) correct_conf_matrix = {my_vars.TP: {0, 1}, my_vars.FP: {3}, my_vars.TN: {2, 4, 5}, my_vars.FN: set()} self.assertTrue(my_vars.conf_matrix == correct_conf_matrix) def test_evaluate_f1_update_confusion_matrix_not_updated(self): """Tests what happens if input has a numeric and a nominal feature and a rule that predicts an example is not updated as F1 score doesn't improve""" df = pd.DataFrame({"A": ["low", "low", "high", "low", "low", "high"], "B": [1, 1, 4, 1.5, 0.5, 0.75], "C": [3, 2, 1, .5, 3, 2], "Class": ["apple", "apple", "banana", "banana", "banana", "banana"]}) class_col_name = "Class" lookup = \ { "A": { 'high': 2, 'low': 4, my_vars.CONDITIONAL: { 'high': Counter({ 'banana': 2 }), 'low': Counter({ 'banana': 2, 'apple': 2 }) } } } classes = ["apple", "banana"] min_max = pd.DataFrame({"B": {"min": 1, "max": 5}, "C": {"min": 1, "max": 11}}) my_vars.minority_class = "apple" rules = [ pd.Series({"A": "low", "B": Bounds(lower=1, upper=1), "C": Bounds(lower=3, upper=3), "Class": "apple"}, name=0), pd.Series({"A": "low", "B": Bounds(lower=1, upper=1), "C": Bounds(lower=2, upper=2), "Class": "apple"}, name=1), pd.Series({"A": "high", "B": Bounds(lower=4, upper=4), "C": Bounds(lower=1, upper=1), "Class": "banana"}, name=2), pd.Series({"A": "low", "B": Bounds(lower=1.5, upper=1.5), "C": Bounds(lower=0.5, upper=0.5), "Class": "banana"}, name=3), pd.Series({"A": "low", "B": Bounds(lower=0.5, upper=0.5), "C": Bounds(lower=3, upper=3), "Class": "banana"}, name=4), pd.Series({"A": "high", "B": Bounds(lower=0.75, upper=0.75), "C": Bounds(lower=2, upper=2), "Class": "banana"}, name=5) ] my_vars.examples_covered_by_rule = {} my_vars.closest_examples_per_rule = {0: {1, 4}, 1: {0, 3}, 2: {5}, 5: {2}} my_vars.seed_rule_example = {0: 0, 1: 1, 2: 2, 3: 3, 4: 4, 5: 5} my_vars.seed_example_rule = {0: {0}, 1: {1}, 2: {2}, 3: {3}, 4: {4}, 5: {5}} my_vars.all_rules = {0: rules[0], 1: rules[1], 2: rules[2], 3: rules[3], 4: rules[4], 5: rules[5]} my_vars.closest_rule_per_example = { 0: Data(rule_id=1, dist=0.010000000000000002), 1: Data(rule_id=0, dist=0.010000000000000002), 2: Data(rule_id=5, dist=0.67015625), 3: Data(rule_id=1, dist=0.038125), 4: Data(rule_id=0, dist=0.015625), 5: Data(rule_id=2, dist=0.67015625)} my_vars.conf_matrix = {my_vars.TP: {0, 1}, my_vars.FP: set(), my_vars.TN: {2, 5}, my_vars.FN: {3, 4}} new_rule = pd.Series({"A": "low", "B": (0.5, 0.5), "C": (3, 3), "Class": "banana"}, name=4) correct_f1 = 2*1*0.5/1.5 f1 = evaluate_f1_update_confusion_matrix(df, new_rule, class_col_name, lookup, min_max, classes) correct_closest_rule_per_example = { 0: Data(rule_id=1, dist=0.010000000000000002), 1: Data(rule_id=0, dist=0.010000000000000002), 2: Data(rule_id=5, dist=0.67015625), 3: Data(rule_id=1, dist=0.038125), 4: Data(rule_id=0, dist=0.015625), 5: Data(rule_id=2, dist=0.67015625)} self.assertTrue(f1 == correct_f1) for example_id in my_vars.closest_rule_per_example: rule_id, dist = my_vars.closest_rule_per_example[example_id] self.assertTrue(rule_id == correct_closest_rule_per_example[example_id][0] and abs(dist - correct_closest_rule_per_example[example_id][1]) < 0.001) correct_conf_matrix = {my_vars.TP: {0, 1}, my_vars.FP: set(), my_vars.TN: {2, 5}, my_vars.FN: {3, 4}} self.assertTrue(my_vars.conf_matrix == correct_conf_matrix)

54.190476

115

0.483634

1,212

9,104

3.457096

0.090759

0.058711

0.057279

0.060143

0.921241

0.898807

0.874224

0.854893

0.824344

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0.105495

0.350286

9,104

167

116

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0.602874

0.045035

0

0.782895

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0.006579

0

null

0

1

0

1

0

null

0

7

44a2c0157e63705912d7ffc94fe3c015fa77dbee

211

py

Python

pybrain/rl/environments/twoplayergames/__init__.py

sveilleux1/pybrain

1e1de73142c290edb84e29ca7850835f3e7bca8b

[ "BSD-3-Clause" ]

2,208

2015-01-02T02:14:41.000Z

2022-03-31T04:45:46.000Z

pybrain/rl/environments/twoplayergames/__init__.py

sveilleux1/pybrain

1e1de73142c290edb84e29ca7850835f3e7bca8b

[ "BSD-3-Clause" ]

91

2015-01-08T16:42:16.000Z

2021-12-11T19:16:35.000Z

pybrain/rl/environments/twoplayergames/__init__.py

sveilleux1/pybrain

1e1de73142c290edb84e29ca7850835f3e7bca8b

[ "BSD-3-Clause" ]

786

2015-01-02T15:18:20.000Z

2022-02-23T23:42:40.000Z

from pybrain.rl.environments.twoplayergames.capturegame import CaptureGame from pybrain.rl.environments.twoplayergames.gomoku import GomokuGame from pybrain.rl.environments.twoplayergames.tasks.__init__ import *

70.333333

74

0.881517

24

211

7.583333

0.458333

0.181319

0.214286

0.412088

0.642857

0

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211

3

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70.333333

0.91

0

1

0

true

0

1

0

1

0

1

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null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

44b2e5db3aa95b14081b897841a6e599a44beaaa

7,922

py

Python

src_manage/payload.py

MarcusJones/kaggle_petfinder_adoption

2d745b48405f4d4211b523eae272b9169fcf9fa2

[ "MIT" ]

1

2019-01-24T04:22:39.000Z

src_manage/payload.py

MarcusJones/kaggle_petfinder_adoption

2d745b48405f4d4211b523eae272b9169fcf9fa2

[ "MIT" ]

1

2021-09-08T01:14:02.000Z

src_manage/payload.py

bmj-hackathon/kaggle_airbus_ship_detection

ea2c655418e13452fd9dcfe51ae99d703e16d758

[ "MIT" ]

null

from pathlib import Path import bz2 from jinja2 import Template import logging logging.getLogger().setLevel(logging.info) #%% Collect all imported tools # UTILS_DIR = Path('~/kaggle/kaggle_utils/kaggle_utils/').expanduser() # TEST_LINES_OUT_DIR = Path('').cwd() / '..' / 'tempdel.txt' # TEST_ZIP_OUT_DIR = Path('').cwd() / '..' / 'tempdel.bz2' #%% TEMPLATES PATH_TEMPLATE_HEAD = Path().cwd()/'src_dawkins'/'manage'/'templates'/'head.py' with PATH_TEMPLATE_HEAD.open() as fh: TEMPLATE_HEAD = Template(fh.read()) PATH_TEMPLATE_PAYLOADS= Path().cwd()/'src_dawkins'/'manage'/'templates'/'payloads.py' with PATH_TEMPLATE_PAYLOADS.open() as fh: TEMPLATE_PAYLOADS = Template(fh.read()) PATH_TEMPLATE_BASE= Path().cwd()/'src_dawkins'/'manage'/'templates'/'base.py' with PATH_TEMPLATE_BASE.open() as fh: TEMPLATE_BASE = Template(fh.read()) TEMPLATE_CELL = Template('payload["{{ key }}"]="{{ payload_chars }}"') #%% Payloads payloads = dict() payloads['transformers'] = { 'path': Path('~/kaggle/kaggle_utils/kaggle_utils/').expanduser() / 'transformers.py', 'payload_chars' : None, 'cell' : None, } #%% def bz2_hex_string(path_input): assert path_input.exists(), "Can't find {}. Ensure PosixPath!".format(path_input) with path_input.open() as fh: ascii_lines = fh.read() zipped_lines = bz2.compress(bytes(ascii_lines, 'utf8')) hex_string = zipped_lines.hex() logging.info("Generated size {} hex string from {}".format(len(hex_string), path_input)) return hex_string # def wrap_cell(key, payload_chars): # cell_text = # return cell_text for payload_key in payloads: # path_transformers = UTILS_DIR / 'transformers.py' payload = bz2_hex_string(payloads[payload_key]['path']) payloads[payload_key]['payload_chars'] = payload payloads[payload_key]['cell'] = TEMPLATE_CELL.render(key=payload_key, payload_chars=payloads[payload_key]['payload_chars']) print( payloads[payload_key]['cell'] ) #%% Input files assert path_transformers.exists() with path_transformers.open() as fh: utils_lines = fh.readlines() with path_transformers.open() as fh: utils_lines = fh.read() bz2.decompress(payload) payload_hex_str = '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' len(payload_hex_str) clean_lines = list() for line in utils_lines: out_line = line.replace('#%%', "#") out_line = out_line.replace('# %%', "#") clean_lines.append(out_line) del utils_lines head = """ """ clean_lines.insert(0, "#%% TRANSFORMERS\ntransfomers_module = r'''\n") clean_lines.append("'''\n") clean_lines.append("#%%\n") clean_lines.append("from pathlib import Path\n") clean_lines.append("util_outpath = Path.cwd() / 'transformers.py'\n") clean_lines.append("with util_outpath.open('w') as fh: fh.writelines(transfomers_module)\n") clean_lines.append("print('*** Wrote {}'.format(util_outpath))") clean_lines.append("#%%\n") # %% with open(TEST_LINES_OUT_DIR, 'w') as fh: fh.writelines(clean_lines) # %% len(payload) with open(TEST_ZIP_OUT_DIR, 'wb') as fh: fh.write(payload) logging.info("Wrote {:0.1f}kb to {}".format(len(payload)/1000, TEST_ZIP_OUT_DIR))

78.435644

4,846

0.88412

425

7,922

16.232941

0.24

0.015944

0.018553

0.014785

0.079577

0.045079

0.031164

0.018988

0.011596

0

0.431869

0.048599

7,922

101

4,847

78.435644

0.483481

0.048094

0

0.0625

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0.723034

0.660866

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false

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0.109375

0.03125

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null

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1

0

1

0

1

0

1

null

1

0

7

44be45e5fa02670a668bab1575bf64db1d6ecaec

4,282

py

Python

LocalDeploy/invoke_hardcoded.py

lobrien/AzureMachineLearning_Scratch

b0eee5900afb0576bad6ef3032f598ad5e9837ea

[ "MIT" ]

null

LocalDeploy/invoke_hardcoded.py

lobrien/AzureMachineLearning_Scratch

b0eee5900afb0576bad6ef3032f598ad5e9837ea

[ "MIT" ]

null

LocalDeploy/invoke_hardcoded.py

lobrien/AzureMachineLearning_Scratch

b0eee5900afb0576bad6ef3032f598ad5e9837ea

[ "MIT" ]

null

import requests normalized_pixel_values = "[\ 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, \ 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, \ 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, \ 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, 0.5, 0.5, 0.7, 1.0, 1.0, 0.6, 0.4, 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, 0.7, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9, 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, 0.7, 1.0, 1.0, 1.0, 0.8, 0.6, 0.7, 1.0, 1.0, 0.5, 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, 0.2, 1.0, 1.0, 0.8, 0.1, 0.0, 0.0, 0.0, 0.8, 1.0, 0.5, 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, 0.3, 1.0, 0.8, 0.1, 0.0, 0.0, 0.0, 0.5, 1.0, 1.0, 0.3, 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, 0.0, 0.0, 0.0, 0.8, 1.0, 1.0, 0.3, 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, 0.5, 1.0, 1.0, 0.8, 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, 0.3, 1.0, 1.0, 0.9, 0.2, 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, 0.5, 1.0, 1.0, 0.6, 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, 0.7, 1.0, 1.0, 0.6, 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, 0.9, 1.0, 0.9, 0.1, \ 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, 0.0, 0.8, 1.0, 1.0, 0.6, \ 0.6, 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, 0.3, 1.0, 1.0, 0.7, \ 0.7, 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, 0.8, 1.0, 1.0, \ 1.0, 0.6, 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, 0.5, 1.0, 1.0, \ 1.0, 0.7, 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, 1.0, \ 1.0, 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, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, \ 1.0, 1.0, 1.0, 0.2, 0.1, 0.1, 0.1, 0.1, 0.0, 0.0, 0.0, 0.1, 0.1, 0.1, 0.6, 0.6, 0.6, 0.6, 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, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7, 0.6, 0.7, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, \ 0.0, 0.0, 0.7, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7, 0.5, 0.5, 0.2, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, \ 0.0, 0.0, 0.0, 0.0, 0.5, 0.5, 0.5, 0.5, 0.7, 1.0, 1.0, 1.0, 0.6, 0.5, 0.5, 0.2, 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, 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, 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, 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, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]" input_data = "{\"data\": [" + normalized_pixel_values + "]}" headers = {'Content-Type': 'application/json'} resp = requests.post("http://localhost:6789/score", input_data, headers=headers) print("Should be predicted as '2'") print("prediction:", resp.text)

107.05

141

0.416861

1,605

4,282

1.108411

0.021807

1.418775

2.045531

2.671164

0.879146

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0.867903

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0

1

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null

0

14

44d1e502b840edbf0c5b81acc30e121ea7642451

248

py

Python

coffea/striped/__init__.py

hepaccelerate/coffea

153061d6dd69a646fcd0a5b019168188595f6130

[ "BSD-3-Clause" ]

1

2019-06-26T12:40:13.000Z

coffea/striped/__init__.py

hepaccelerate/coffea

153061d6dd69a646fcd0a5b019168188595f6130

[ "BSD-3-Clause" ]

null

coffea/striped/__init__.py

hepaccelerate/coffea

153061d6dd69a646fcd0a5b019168188595f6130

[ "BSD-3-Clause" ]

1

2019-07-05T14:49:12.000Z

from .StripedColumnTransformer import ColumnGroup from .StripedColumnTransformer import PhysicalColumnGroup from .ColumnGroup2JaggedTable import jaggedFromColumnGroup from .Callback import HistCollectorCallback from .UprootAdaptor import UprootJob

41.333333

58

0.899194

20

248

11.15

0.55

0.251121

0.304933

0

0.004386

0.080645

248

5

59

49.6

0.973684

0

1

0

true

0

1

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1

0

1

null

1

0

1

0

null

0

1

0

1

0

7

44d291e7ae6a18f60c52f1c6a04265d0aa6de437

11,452

py

Python

tests/test_model.py

Remi-Gau/rsatoolbox

2b4b57fa4cee9d9b819c43ac0436278c696e2402

[ "MIT" ]

80

2015-03-02T15:11:37.000Z

2022-03-21T17:25:36.000Z

tests/test_model.py

Remi-Gau/rsatoolbox

2b4b57fa4cee9d9b819c43ac0436278c696e2402

[ "MIT" ]

150

2019-10-07T13:04:14.000Z

2021-04-21T21:39:41.000Z

tests/test_model.py

Remi-Gau/rsatoolbox

2b4b57fa4cee9d9b819c43ac0436278c696e2402

[ "MIT" ]

64

2015-03-02T15:11:17.000Z

2022-03-28T12:05:32.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """Tests for the model subpackage """ import unittest import rsatoolbox.model as model import numpy as np from numpy.testing import assert_allclose class TestModel(unittest.TestCase): """ Tests for the Model superclass """ def test_creation(self): _ = model.Model('Test Model') class TestModelFixed(unittest.TestCase): """ Tests for the fixed model class """ def test_creation(self): rdm = np.array(np.ones(6)) m = model.ModelFixed('Test Model', rdm) m.fit([]) pred = m.predict() assert np.all(pred == rdm) def test_creation_rdm(self): from rsatoolbox.rdm import RDMs rdm = np.array(np.ones(6)) rdm_obj = RDMs(np.array([rdm])) m = model.ModelFixed('Test Model', rdm_obj) m.fit(rdm_obj) pred = m.predict() assert np.all(pred == rdm) pred_obj = m.predict_rdm() assert isinstance(pred_obj, RDMs) class TestModelSelect(unittest.TestCase): """ Tests for the fixed model class """ def test_creation(self): rdm = np.random.rand(2, 6) m = model.ModelSelect('Test Model', rdm) pred = m.predict() assert np.all(pred == rdm[0]) def test_creation_rdm(self): from rsatoolbox.rdm import RDMs rdm = np.random.rand(2, 6) pattern_descriptors = {'test': ['a', 'b', 'c', 'd']} rdm_obj = RDMs(rdm, dissimilarity_measure='euclid', pattern_descriptors=pattern_descriptors) m = model.ModelSelect('Test Model', rdm_obj) pred = m.predict() assert np.all(pred == rdm[0]) pred_obj = m.predict_rdm() assert isinstance(pred_obj, RDMs) assert pred_obj.n_rdm == 1 assert pred_obj.pattern_descriptors == pattern_descriptors def test_fit(self): from rsatoolbox.rdm import RDMs rdm = np.random.rand(2, 6) pattern_descriptors = {'test': ['a', 'b', 'c', 'd']} rdm_descriptors = {'ind': np.array([1, 2])} rdm_obj = RDMs(rdm, dissimilarity_measure='euclid', pattern_descriptors=pattern_descriptors, rdm_descriptors=rdm_descriptors) m = model.ModelSelect('Test Model', rdm_obj) train = rdm_obj.subset('ind', 2) theta = m.fit(train) assert theta == 1 class TestModelWeighted(unittest.TestCase): """ Tests for the fixed model class """ def test_creation(self): rdm = np.random.rand(4, 15) m = model.ModelWeighted('Test Model', rdm) pred = m.predict([1, 0, 0, 0]) assert np.all(pred == rdm[0]) def test_creation_rdm(self): from rsatoolbox.rdm import RDMs rdm = np.random.rand(2, 6) pattern_descriptors = {'test': ['a', 'b', 'c', 'd']} rdm_obj = RDMs(rdm, dissimilarity_measure='euclid', pattern_descriptors=pattern_descriptors) m = model.ModelWeighted('Test Model', rdm_obj) pred = m.predict(np.array([1, 0])) assert np.all(pred == rdm[0]) pred_obj = m.predict_rdm() assert isinstance(pred_obj, RDMs) assert pred_obj.n_rdm == 1 assert pred_obj.pattern_descriptors == pattern_descriptors def test_fit(self): from rsatoolbox.rdm import RDMs rdm = np.random.rand(2, 6) pattern_descriptors = {'test': ['a', 'b', 'c', 'd']} rdm_descriptors = {'ind': np.array([1, 2])} rdm_obj = RDMs(rdm, dissimilarity_measure='euclid', pattern_descriptors=pattern_descriptors, rdm_descriptors=rdm_descriptors) m = model.ModelWeighted('Test Model', rdm_obj) train = rdm_obj.subset('ind', 2) theta = m.fit(train) class TestModelInterpolate(unittest.TestCase): """ Tests for the fixed model class """ def test_creation(self): rdm = np.random.rand(4, 15) m = model.ModelInterpolate('Test Model', rdm) pred = m.predict([1, 0, 0, 0]) assert np.all(pred == rdm[0]) def test_creation_rdm(self): from rsatoolbox.rdm import RDMs rdm = np.random.rand(2, 6) pattern_descriptors = {'test': ['a', 'b', 'c', 'd']} rdm_obj = RDMs(rdm, dissimilarity_measure='euclid', pattern_descriptors=pattern_descriptors) m = model.ModelInterpolate('Test Model', rdm_obj) pred = m.predict(np.array([1, 0])) assert np.all(pred == rdm[0]) pred_obj = m.predict_rdm() assert isinstance(pred_obj, RDMs) assert pred_obj.n_rdm == 1 assert pred_obj.pattern_descriptors == pattern_descriptors def test_fit(self): from rsatoolbox.rdm import RDMs rdm = np.random.rand(5, 15) pattern_descriptors = {'test': ['a', 'b', 'c', 'd', 'e', 'f']} rdm_descriptors = {'ind': np.array([1, 2, 3, 1, 2])} rdm_obj = RDMs(rdm, dissimilarity_measure='euclid', pattern_descriptors=pattern_descriptors, rdm_descriptors=rdm_descriptors) m = model.ModelInterpolate('Test Model', rdm_obj) train = rdm_obj.subset('ind', 2) theta = m.fit(train) _ = m.predict(theta) class TestConsistency(unittest.TestCase): """ Tests which compare different model types and fitting methods, which should be equivalent """ def setUp(self): from rsatoolbox.data import Dataset from rsatoolbox.rdm import calc_rdm from rsatoolbox.rdm import concat rdms = [] for _ in range(5): data = np.random.rand(6, 20) data_s = Dataset(data) rdms.append(calc_rdm(data_s)) self.rdms = concat(rdms) def test_two_rdms(self): from rsatoolbox.model import ModelInterpolate, ModelWeighted from rsatoolbox.model.fitter import fit_regress, fit_optimize_positive from rsatoolbox.rdm import concat, compare model_rdms = concat([self.rdms[0], self.rdms[1]]) model_weighted = ModelWeighted( 'm_weighted', model_rdms) model_interpolate = ModelInterpolate( 'm_interpolate', model_rdms) for i_method in ['cosine', 'corr', 'cosine_cov', 'corr_cov']: theta_m_i = model_interpolate.fit(self.rdms, method=i_method) theta_m_w = model_weighted.fit(self.rdms, method=i_method) theta_m_w_pos = fit_optimize_positive( model_weighted, self.rdms, method=i_method) theta_m_w_linear = fit_regress( model_weighted, self.rdms, method=i_method) eval_m_i = np.mean(compare(model_weighted.predict_rdm( theta_m_i), self.rdms, method=i_method)) eval_m_w = np.mean(compare(model_weighted.predict_rdm( theta_m_w), self.rdms, method=i_method)) eval_m_w_pos = np.mean(compare(model_weighted.predict_rdm( theta_m_w_pos), self.rdms, method=i_method)) eval_m_w_linear = np.mean(compare(model_weighted.predict_rdm( theta_m_w_linear), self.rdms, method=i_method)) self.assertAlmostEqual( eval_m_i, eval_m_w_pos, places=4, msg='weighted fit differs from interpolation fit!' + '\nfor %s' % i_method) self.assertAlmostEqual( eval_m_w, eval_m_w_linear, places=4, msg='regression fit differs from optimization fit!' + '\nfor %s' % i_method) def test_two_rdms_nan(self): from rsatoolbox.model import ModelInterpolate, ModelWeighted from rsatoolbox.model.fitter import fit_regress, fit_optimize_positive from rsatoolbox.rdm import concat, compare rdms = self.rdms.subsample_pattern('index', [0, 1, 1, 3, 4, 5]) model_rdms = concat([rdms[0], rdms[1]]) model_weighted = ModelWeighted( 'm_weighted', model_rdms) model_interpolate = ModelInterpolate( 'm_interpolate', model_rdms) for i_method in ['cosine', 'corr', 'cosine_cov', 'corr_cov']: theta_m_i = model_interpolate.fit(rdms, method=i_method) theta_m_w = model_weighted.fit(rdms, method=i_method) theta_m_w_pos = fit_optimize_positive( model_weighted, rdms, method=i_method) theta_m_w_linear = fit_regress( model_weighted, rdms, method=i_method) eval_m_i = np.mean(compare(model_weighted.predict_rdm( theta_m_i), rdms, method=i_method)) eval_m_w = np.mean(compare(model_weighted.predict_rdm( theta_m_w), rdms, method=i_method)) eval_m_w_pos = np.mean(compare(model_weighted.predict_rdm( theta_m_w_pos), rdms, method=i_method)) eval_m_w_linear = np.mean(compare(model_weighted.predict_rdm( theta_m_w_linear), rdms, method=i_method)) self.assertAlmostEqual( eval_m_i, eval_m_w_pos, places=4, msg='weighted fit differs from interpolation fit!' + '\nfor %s' % i_method) self.assertAlmostEqual( eval_m_w, eval_m_w_linear, places=4, msg='regression fit differs from optimization fit!' + '\nfor %s' % i_method) class TestNNLS(unittest.TestCase): """ Tests that the non-negative least squares give results consistent with other solutions where they apply """ def test_nnls_scipy(self): from scipy.optimize import nnls from rsatoolbox.model.fitter import _nn_least_squares A = np.random.rand(10, 3) b = A @ np.array([1, -0.1, -0.1]) x_scipy, loss_scipy = nnls(A, b) x_rsatoolbox, loss_rsatoolbox = _nn_least_squares(A, b) assert_allclose( x_scipy, x_rsatoolbox, err_msg='non-negative-least squares different from scipy') self.assertAlmostEqual( loss_scipy, np.sqrt(loss_rsatoolbox), places=5, msg='non-negative-least squares different from scipy') def test_nnls_eye(self): from rsatoolbox.model.fitter import _nn_least_squares A = np.random.rand(10, 3) b = A @ np.array([1, -0.1, -0.1]) x_rsatoolbox, loss_rsatoolbox = _nn_least_squares(A, b) x_rsatoolbox_v, loss_rsatoolbox_v = _nn_least_squares(A, b, V=np.eye(10)) assert_allclose( x_rsatoolbox, x_rsatoolbox_v, err_msg='non-negative-least squares changes with V=np.eye') self.assertAlmostEqual( loss_rsatoolbox_v, loss_rsatoolbox, places=5, msg='nnls loss changes with np.eye') def test_nnls_eye_ridge(self): from rsatoolbox.model.fitter import _nn_least_squares A = np.random.rand(10, 3) b = A @ np.array([1, -0.1, -0.1]) x_rsatoolbox, loss_rsatoolbox = _nn_least_squares(A, b, ridge_weight=1) x_rsatoolbox_v, loss_rsatoolbox_v = _nn_least_squares( A, b, ridge_weight=1, V=np.eye(10)) assert_allclose( x_rsatoolbox, x_rsatoolbox_v, err_msg='non-negative-least squares changes with V=np.eye') self.assertAlmostEqual( loss_rsatoolbox_v, loss_rsatoolbox, places=5, msg='nnls loss changes with np.eye')

39.626298

81

0.608016

1,470

11,452

4.508844

0.104082

0.065178

0.026554

0.041038

0.843543

0.831322

0.809747

0.801298

0.764031

0.754828

0

0.01338

0.282134

11,452

288

82

39.763889

0.792848

0.039469

0

0.723404

0

0.072173

0

0.12766

1

0.076596

false

0

0.102128

0

0.208511

0

null

0

1

0

1

0

null

0

7

780585a979d975f2b8c0dc651e9434f80ef86dca

6,980

py

Python

components/paper/reference.py

JnkDog/i-rheo-web

8b1e0a0ef297e1e67f34368aed54f1e5a5028123

[ "MIT" ]

1

2021-06-09T14:07:07.000Z

components/paper/reference.py

JnkDog/i-rheno-web

8b1e0a0ef297e1e67f34368aed54f1e5a5028123

[ "MIT" ]

1

2021-07-13T20:40:34.000Z

components/paper/reference.py

JnkDog/i-rheno-web

8b1e0a0ef297e1e67f34368aed54f1e5a5028123

[ "MIT" ]

2

2021-07-12T19:37:41.000Z

2021-12-09T00:13:09.000Z

import dash from dash.dependencies import Input, Output, State, ClientsideFunction import dash_core_components as dcc import dash_html_components as html import dash_bootstrap_components as dbc # Disgusting code # Paper1 = html.P("1. R. Rivas-Barbosa, M. Escobedo-Sánchez, M. Tassieri, and M. Laurati, “i-Rheo: determining the linear viscoelastic moduli of colloidal dispersions from step-stress measurements”, \ # Phys.Chem.Chem.Phys., 22, 3839 (2020).") # Paper2 = html.P("2. J.A. Moreno-Guerra, I.C. Romero-Sánchez, A. Martinez-Borquez, M. Tassieri, E. Stiakakis and M. Laurati, “Model free Rheo-AFM probes the viscoelasticity of tunable DNA soft colloids”, \ # Small, (2019), DOI: 10.1002/smll.201904136.") # Paper3 = html.P("3. M. Tassieri, “Microrheology with Optical Tweezers: Peaks & Troughs”, \ # Curr. Opin. Colloid Interface Sci (2019).") # Paper4 = html.P("4. L. G. Rizzi and M. Tassieri, “Microrheology of Biological Specimens”, \ # Encyclopedia of Analytical Chemistry: Applications, Theory and Instrumentation (2018).") # Paper5 = html.P("5. Y. H. Chim, L. M. Mason, N. Rath, M. F. Olson, M. Tassieri & H. Yin, “A one-step procedure to probe the viscoelastic properties of cells by Atomic Force Microscopy”,\ # Scientific Reports, 8, 14462 (2018).") # Paper6 = html.P("6. M. Tassieri, “Comment on “A symmetrical method to obtain shear moduli from microrheology” by Kengo Nishi, Maria L. Kilfoil, Christoph F. Schmidt, and F. C. MacKintosh, Soft Matter, 2018, 14, 3716”, published as Comment in \ # Soft Matter, 14, 8666 (2018).") # Paper7 = html.P("7. M.Tassieri, J.Ramirez, N.Ch.Karayiannis, S.K.SukumaranandY.Masubuchi, “i-RheoGT: Transforming from time- to frequency-domain without artefacts”, \ # Macromolecules, 51, 14, 5055 (2018).") # Paper8 = html.P("8. M.Tassierietal.,“i-Rheo:Measuringthematerials’linearviscoelasticproperties‘inastep’”, \ # Journal of Rheology, 60, 649 (2016). It has been the \ # 2016's most read article in the Journal of Rheology.") # Paper9 = html.P("9. Book: “Microrheology with Optical Tweezers: Principles and Applications”, edited by M.Tassieri, June (2016), \ # published by Pan Stanford.") # Paper10 = html.P("10. M. Tassieri, “Linear Microrheology with Optical Tweezers of living cells ‘is not an option’!”, published as Opinion in \ # Soft Matter, 11, (2015).") # Paper11 = html.P("11. M. Tassieri et al., “Microrheology with Optical Tweezers: Measuring the relative viscosity of solutions ‘at a glance’”, \ # Scientific Reports, 5, 8831 (2015).") # Paper12 = html.P("12. M. Tassieri et al., “Microrheology with optical tweezers: data analysis”, \ # New J. of Physics,14, 115032 (2012).") # Paper13 = html.P("13. D. Preece, R.L. Warren, G.M. Gibson, R.M.L. Evans, M.J. Padgett, J.M. Cooper, and M.Tassieri, “Optical tweezers: wideband microrheology”, \ # J. Optics, 13, 044022 (2011).") # Paper14 = html.P("14. M. Tassieri et al., “Analysis of the linear viscoelasticity of polyelectrolytes by magnetic microrheometry-Pulsed creep experiments and the one particle response”, \ # J. Rheol., 54, 117(2010).") # Paper15 = html.P("15. M. Tassieri, G.M. Gibson, R.M.L. Evans, A.M. Yao, R. Warren, M.J. Padgett, and J.M.Cooper “Measuring storage and loss moduli using optical tweezers: broadband microrheology”, \ # Phys. Rev. E, 81, (2010).") # Paper16 = html.P("16. R.M.L. Evans, M. Tassieri, D. Auhl and T.A. Waigh, “Direct conversion of rheological compliance measurements into storage and loss moduli”, \ # Phys. Rev. E, 80, 012501 (2009).") # Paper17 = html.P("17. A.M. Yao, M. Tassieri, M.J. Padgett, J.M. Cooper, “Microrheology with optical tweezers”, \ # LoC, 9, 2568 (2009).") # AllPapers = [ # Paper1, Paper2, Paper3, Paper4, Paper5, Paper6, Paper7, Paper8, # Paper9, Paper10, Paper11, Paper12, Paper13, Paper14, Paper15, Paper16, # Paper17, PaperT # ] AllPapers = [] PaperMarkDown = dcc.Markdown(''' 1. R. Rivas-Barbosa, M. Escobedo-Sánchez, **M. Tassieri**, and M. Laurati, “i-Rheo: determining the linear viscoelastic moduli of colloidal dispersions from step-stress measurements”, Phys.Chem.Chem.Phys., 22, 3839 (2020). 2. J.A. Moreno-Guerra, I.C. Romero-Sánchez, A. Martinez-Borquez, **M. Tassieri**, E. Stiakakis and M. Laurati, “Model free Rheo-AFM probes the viscoelasticity of tunable DNA soft colloids”, Small, (2019), DOI: 10.1002/smll.201904136. 3. **M. Tassieri**, “Microrheology with Optical Tweezers: Peaks & Troughs”, Curr. Opin. Colloid Interface Sci (2019). 4. L. G. Rizzi and **M. Tassieri**, “Microrheology of Biological Specimens”, Encyclopedia of Analytical Chemistry: Applications, Theory and Instrumentation (2018). 5. Y. H. Chim, L. M. Mason, N. Rath, M. F. Olson, **M. Tassieri** & H. Yin, “A one-step procedure to probe the viscoelastic properties of cells by Atomic Force Microscopy”, Scientific Reports, 8, 14462 (2018). 6. **M. Tassieri**, “Comment on “A symmetrical method to obtain shear moduli from microrheology” by Kengo Nishi, Maria L. Kilfoil, Christoph F. Schmidt, and F. C. MacKintosh, Soft Matter, 2018, 14, 3716”, published as Comment in Soft Matter, 14, 8666 (2018). 7. **M. Tassieri**, J.Ramirez, N.Ch.Karayiannis, S.K.Sukumaran and Y.Masubuchi, “i-RheoGT: Transforming from time- to frequency-domain without artefacts”, Macromolecules, 51, 14, 5055 (2018). 8. **M. Tassieri** et al.,“i-Rheo:Measuringthematerials’linearviscoelasticproperties‘inastep’”, Journal of Rheology, 60, 649 (2016). It has been the 2016's most read article in the Journal of Rheology. 9. Book: “Microrheology with Optical Tweezers: Principles and Applications”, edited by **M. Tassieri**, June (2016), published by Pan Stanford. 10. **M. Tassieri**, “Linear Microrheology with Optical Tweezers of living cells ‘is not an option’!”, published as Opinion in Soft Matter, 11, (2015). 11. **M. Tassieri** et al., “Microrheology with Optical Tweezers: Measuring the relative viscosity of solutions ‘at a glance’”, Scientific Reports, 5, 8831 (2015). 12. **M. Tassieri** et al., “Microrheology with optical tweezers: data analysis”, New J. of Physics, 14, 115032 (2012). 13. D. Preece, R.L. Warren, G.M. Gibson, R.M.L. Evans, M.J. Padgett, J.M. Cooper, and **M. Tassieri**, “Optical tweezers: wideband microrheology”, J. Optics, 13, 044022 (2011). 14. **M. Tassieri** et al., “Analysis of the linear viscoelasticity of polyelectrolytes by magnetic microrheometry-Pulsed creep experiments and the one particle response”, J. Rheol., 54, 117(2010). 15. **M. Tassieri**, G.M. Gibson, R.M.L. Evans, A.M. Yao, R. Warren, M.J. Padgett, and J.M. Cooper “Measuring storage and loss moduli using optical tweezers: broadband microrheology”, Phys. Rev. E, 81, (2010). 16. R.M.L. Evans, **M. Tassieri**, D. Auhl and T.A. Waigh, “Direct conversion of rheological compliance measurements into storage and loss moduli”, Phys. Rev. E, 80, 012501 (2009). 17. A.M. Yao, **M. Tassieri**, M.J. Padgett, J.M. Cooper, “Microrheology with optical tweezers”, LoC, 9, 2568 (2009). ''')

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7827706735c25e09a9ebee9b79c9855176e2410e

335

py

Python

exercicios/ex108.py

Siqueira-Vinicius/Python

bd1f7e2bcdfd5481724d32db387f51636bb4ad60

[ "MIT" ]

null

exercicios/ex108.py

Siqueira-Vinicius/Python

bd1f7e2bcdfd5481724d32db387f51636bb4ad60

[ "MIT" ]

null

exercicios/ex108.py

Siqueira-Vinicius/Python

bd1f7e2bcdfd5481724d32db387f51636bb4ad60

[ "MIT" ]

null

import moeda p = float(input(f'Digite um preço: {moeda.preço()}')) print(f'a metade de {moeda.preço(p)} é {moeda.metade(p)}') print(f'o dobro de {moeda.preço(p)} é {moeda.dobro(p)}') print(f'o preço de {moeda.preço(p)} reduzido em 10% é {moeda.desconto(p)}') print(f'e o preço de {moeda.preço(p)} aumentado em 13% é {moeda.juros(p)}')

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7877daf6e30df1131d32ba127616387f96084632

12,163

py

Python

src/antlr4_verilog/systemverilog/SystemVerilogPreParserListener.py

mtdsousa/antlr4-verilog

c2238beb56a38ac098cd6e06e0ac8d7de7c1eaad

[ "MIT" ]

3

2022-02-15T15:51:43.000Z

2022-02-21T13:18:09.000Z

src/antlr4_verilog/systemverilog/SystemVerilogPreParserListener.py

mtdsousa/antlr4-verilog

c2238beb56a38ac098cd6e06e0ac8d7de7c1eaad

[ "MIT" ]

1

2022-02-21T12:35:10.000Z

2022-02-21T16:45:56.000Z

src/antlr4_verilog/systemverilog/SystemVerilogPreParserListener.py

mtdsousa/antlr4-verilog-python

c2238beb56a38ac098cd6e06e0ac8d7de7c1eaad

[ "MIT" ]

null

# Generated from /home/mtdsousa/workspace/antlr4-verilog-python/extra/grammars-v4-2/verilog/systemverilog/SystemVerilogPreParser.g4 by ANTLR 4.9 from antlr4 import * if __name__ is not None and "." in __name__: from .SystemVerilogPreParser import SystemVerilogPreParser else: from SystemVerilogPreParser import SystemVerilogPreParser # This class defines a complete listener for a parse tree produced by SystemVerilogPreParser. class SystemVerilogPreParserListener(ParseTreeListener): # Enter a parse tree produced by SystemVerilogPreParser#source_text. def enterSource_text(self, ctx:SystemVerilogPreParser.Source_textContext): pass # Exit a parse tree produced by SystemVerilogPreParser#source_text. def exitSource_text(self, ctx:SystemVerilogPreParser.Source_textContext): pass # Enter a parse tree produced by SystemVerilogPreParser#compiler_directive. def enterCompiler_directive(self, ctx:SystemVerilogPreParser.Compiler_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#compiler_directive. def exitCompiler_directive(self, ctx:SystemVerilogPreParser.Compiler_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#file_directive. def enterFile_directive(self, ctx:SystemVerilogPreParser.File_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#file_directive. def exitFile_directive(self, ctx:SystemVerilogPreParser.File_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#line_directive_. def enterLine_directive_(self, ctx:SystemVerilogPreParser.Line_directive_Context): pass # Exit a parse tree produced by SystemVerilogPreParser#line_directive_. def exitLine_directive_(self, ctx:SystemVerilogPreParser.Line_directive_Context): pass # Enter a parse tree produced by SystemVerilogPreParser#begin_keywords_directive. def enterBegin_keywords_directive(self, ctx:SystemVerilogPreParser.Begin_keywords_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#begin_keywords_directive. def exitBegin_keywords_directive(self, ctx:SystemVerilogPreParser.Begin_keywords_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#celldefine_directive. def enterCelldefine_directive(self, ctx:SystemVerilogPreParser.Celldefine_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#celldefine_directive. def exitCelldefine_directive(self, ctx:SystemVerilogPreParser.Celldefine_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#default_nettype_directive. def enterDefault_nettype_directive(self, ctx:SystemVerilogPreParser.Default_nettype_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#default_nettype_directive. def exitDefault_nettype_directive(self, ctx:SystemVerilogPreParser.Default_nettype_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#endcelldefine_directive. def enterEndcelldefine_directive(self, ctx:SystemVerilogPreParser.Endcelldefine_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#endcelldefine_directive. def exitEndcelldefine_directive(self, ctx:SystemVerilogPreParser.Endcelldefine_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#end_keywords_directive. def enterEnd_keywords_directive(self, ctx:SystemVerilogPreParser.End_keywords_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#end_keywords_directive. def exitEnd_keywords_directive(self, ctx:SystemVerilogPreParser.End_keywords_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#ifdef_directive. def enterIfdef_directive(self, ctx:SystemVerilogPreParser.Ifdef_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#ifdef_directive. def exitIfdef_directive(self, ctx:SystemVerilogPreParser.Ifdef_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#ifndef_directive. def enterIfndef_directive(self, ctx:SystemVerilogPreParser.Ifndef_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#ifndef_directive. def exitIfndef_directive(self, ctx:SystemVerilogPreParser.Ifndef_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#include_directive. def enterInclude_directive(self, ctx:SystemVerilogPreParser.Include_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#include_directive. def exitInclude_directive(self, ctx:SystemVerilogPreParser.Include_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#line_directive. def enterLine_directive(self, ctx:SystemVerilogPreParser.Line_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#line_directive. def exitLine_directive(self, ctx:SystemVerilogPreParser.Line_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#nounconnected_drive_directive. def enterNounconnected_drive_directive(self, ctx:SystemVerilogPreParser.Nounconnected_drive_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#nounconnected_drive_directive. def exitNounconnected_drive_directive(self, ctx:SystemVerilogPreParser.Nounconnected_drive_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#pragma_directive. def enterPragma_directive(self, ctx:SystemVerilogPreParser.Pragma_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#pragma_directive. def exitPragma_directive(self, ctx:SystemVerilogPreParser.Pragma_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#resetall_directive. def enterResetall_directive(self, ctx:SystemVerilogPreParser.Resetall_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#resetall_directive. def exitResetall_directive(self, ctx:SystemVerilogPreParser.Resetall_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#text_macro_definition. def enterText_macro_definition(self, ctx:SystemVerilogPreParser.Text_macro_definitionContext): pass # Exit a parse tree produced by SystemVerilogPreParser#text_macro_definition. def exitText_macro_definition(self, ctx:SystemVerilogPreParser.Text_macro_definitionContext): pass # Enter a parse tree produced by SystemVerilogPreParser#text_macro_usage. def enterText_macro_usage(self, ctx:SystemVerilogPreParser.Text_macro_usageContext): pass # Exit a parse tree produced by SystemVerilogPreParser#text_macro_usage. def exitText_macro_usage(self, ctx:SystemVerilogPreParser.Text_macro_usageContext): pass # Enter a parse tree produced by SystemVerilogPreParser#timescale_directive. def enterTimescale_directive(self, ctx:SystemVerilogPreParser.Timescale_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#timescale_directive. def exitTimescale_directive(self, ctx:SystemVerilogPreParser.Timescale_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#unconnected_drive_directive. def enterUnconnected_drive_directive(self, ctx:SystemVerilogPreParser.Unconnected_drive_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#unconnected_drive_directive. def exitUnconnected_drive_directive(self, ctx:SystemVerilogPreParser.Unconnected_drive_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#undef_directive. def enterUndef_directive(self, ctx:SystemVerilogPreParser.Undef_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#undef_directive. def exitUndef_directive(self, ctx:SystemVerilogPreParser.Undef_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#undefineall_directive. def enterUndefineall_directive(self, ctx:SystemVerilogPreParser.Undefineall_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#undefineall_directive. def exitUndefineall_directive(self, ctx:SystemVerilogPreParser.Undefineall_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#elsif_directive. def enterElsif_directive(self, ctx:SystemVerilogPreParser.Elsif_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#elsif_directive. def exitElsif_directive(self, ctx:SystemVerilogPreParser.Elsif_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#else_directive. def enterElse_directive(self, ctx:SystemVerilogPreParser.Else_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#else_directive. def exitElse_directive(self, ctx:SystemVerilogPreParser.Else_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#endif_directive. def enterEndif_directive(self, ctx:SystemVerilogPreParser.Endif_directiveContext): pass # Exit a parse tree produced by SystemVerilogPreParser#endif_directive. def exitEndif_directive(self, ctx:SystemVerilogPreParser.Endif_directiveContext): pass # Enter a parse tree produced by SystemVerilogPreParser#text_macro_identifier. def enterText_macro_identifier(self, ctx:SystemVerilogPreParser.Text_macro_identifierContext): pass # Exit a parse tree produced by SystemVerilogPreParser#text_macro_identifier. def exitText_macro_identifier(self, ctx:SystemVerilogPreParser.Text_macro_identifierContext): pass # Enter a parse tree produced by SystemVerilogPreParser#ifdef_group_of_lines. def enterIfdef_group_of_lines(self, ctx:SystemVerilogPreParser.Ifdef_group_of_linesContext): pass # Exit a parse tree produced by SystemVerilogPreParser#ifdef_group_of_lines. def exitIfdef_group_of_lines(self, ctx:SystemVerilogPreParser.Ifdef_group_of_linesContext): pass # Enter a parse tree produced by SystemVerilogPreParser#ifndef_group_of_lines. def enterIfndef_group_of_lines(self, ctx:SystemVerilogPreParser.Ifndef_group_of_linesContext): pass # Exit a parse tree produced by SystemVerilogPreParser#ifndef_group_of_lines. def exitIfndef_group_of_lines(self, ctx:SystemVerilogPreParser.Ifndef_group_of_linesContext): pass # Enter a parse tree produced by SystemVerilogPreParser#elsif_group_of_lines. def enterElsif_group_of_lines(self, ctx:SystemVerilogPreParser.Elsif_group_of_linesContext): pass # Exit a parse tree produced by SystemVerilogPreParser#elsif_group_of_lines. def exitElsif_group_of_lines(self, ctx:SystemVerilogPreParser.Elsif_group_of_linesContext): pass # Enter a parse tree produced by SystemVerilogPreParser#else_group_of_lines. def enterElse_group_of_lines(self, ctx:SystemVerilogPreParser.Else_group_of_linesContext): pass # Exit a parse tree produced by SystemVerilogPreParser#else_group_of_lines. def exitElse_group_of_lines(self, ctx:SystemVerilogPreParser.Else_group_of_linesContext): pass # Enter a parse tree produced by SystemVerilogPreParser#macro_text. def enterMacro_text(self, ctx:SystemVerilogPreParser.Macro_textContext): pass # Exit a parse tree produced by SystemVerilogPreParser#macro_text. def exitMacro_text(self, ctx:SystemVerilogPreParser.Macro_textContext): pass del SystemVerilogPreParser

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9

1542dd7930cb526237b3ce1c08c959f8e45bb83a

102

py

Python

snl/util/__init__.py

mackelab/SNL_py3port

3da9ec0e03239646dce8b17f3b2ee22e56bc26c9

[ "MIT" ]

2

2019-10-14T03:47:16.000Z

2019-12-15T15:28:02.000Z

snl/util/__init__.py

mackelab/SNL_py3port

3da9ec0e03239646dce8b17f3b2ee22e56bc26c9

[ "MIT" ]

null

snl/util/__init__.py

mackelab/SNL_py3port

3da9ec0e03239646dce8b17f3b2ee22e56bc26c9

[ "MIT" ]

4

2019-02-06T23:42:21.000Z

2020-05-16T14:24:28.000Z

import snl.util.io import snl.util.math import snl.util.misc import snl.util.ml import snl.util.plot

14.571429

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15bfed425e577bd79ccb624fc28d456f83bfc93e

40,241

py

Python

integration/python/integration_api/api/baas_api.py

ShekharPaatni/SDK

6534ffdb63af87c02c431df9add05a90370183cb

[ "Apache-2.0" ]

11

2019-04-16T02:11:17.000Z

2021-12-16T22:51:40.000Z

integration/python/integration_api/api/baas_api.py

ShekharPaatni/SDK

6534ffdb63af87c02c431df9add05a90370183cb

[ "Apache-2.0" ]

81

2019-11-19T23:24:28.000Z

2022-03-28T11:35:47.000Z

integration/python/integration_api/api/baas_api.py

ShekharPaatni/SDK

6534ffdb63af87c02c431df9add05a90370183cb

[ "Apache-2.0" ]

11

2020-07-08T02:29:56.000Z

2022-03-28T10:05:33.000Z

# coding: utf-8 """ Hydrogen Integration API The Hydrogen Integration API # noqa: E501 OpenAPI spec version: 1.3.1 Contact: info@hydrogenplatform.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 integration_api.api_client import ApiClient class BaasApi(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_baas_account_using_post(self, baas_account_co, **kwargs): # noqa: E501 """create a Baas account # 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_baas_account_using_post(baas_account_co, async_req=True) >>> result = thread.get() :param async_req bool :param BaasAccountCO baas_account_co: baasAccountCO (required) :return: BaasAccountVO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_baas_account_using_post_with_http_info(baas_account_co, **kwargs) # noqa: E501 else: (data) = self.create_baas_account_using_post_with_http_info(baas_account_co, **kwargs) # noqa: E501 return data def create_baas_account_using_post_with_http_info(self, baas_account_co, **kwargs): # noqa: E501 """create a Baas account # 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_baas_account_using_post_with_http_info(baas_account_co, async_req=True) >>> result = thread.get() :param async_req bool :param BaasAccountCO baas_account_co: baasAccountCO (required) :return: BaasAccountVO If the method is called asynchronously, returns the request thread. """ all_params = ['baas_account_co'] # 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_baas_account_using_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'baas_account_co' is set if self.api_client.client_side_validation and ('baas_account_co' not in params or params['baas_account_co'] is None): # noqa: E501 raise ValueError("Missing the required parameter `baas_account_co` when calling `create_baas_account_using_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'baas_account_co' in params: body_params = params['baas_account_co'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/baas/account', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='BaasAccountVO', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_baas_business_using_post(self, baas_business_co, **kwargs): # noqa: E501 """Create a Baas Business # 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_baas_business_using_post(baas_business_co, async_req=True) >>> result = thread.get() :param async_req bool :param CreateBaasBusinessCO baas_business_co: baasBusinessCO (required) :return: BaasBusinessVO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_baas_business_using_post_with_http_info(baas_business_co, **kwargs) # noqa: E501 else: (data) = self.create_baas_business_using_post_with_http_info(baas_business_co, **kwargs) # noqa: E501 return data def create_baas_business_using_post_with_http_info(self, baas_business_co, **kwargs): # noqa: E501 """Create a Baas Business # 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_baas_business_using_post_with_http_info(baas_business_co, async_req=True) >>> result = thread.get() :param async_req bool :param CreateBaasBusinessCO baas_business_co: baasBusinessCO (required) :return: BaasBusinessVO If the method is called asynchronously, returns the request thread. """ all_params = ['baas_business_co'] # 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_baas_business_using_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'baas_business_co' is set if self.api_client.client_side_validation and ('baas_business_co' not in params or params['baas_business_co'] is None): # noqa: E501 raise ValueError("Missing the required parameter `baas_business_co` when calling `create_baas_business_using_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'baas_business_co' in params: body_params = params['baas_business_co'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/baas/business', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='BaasBusinessVO', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_baas_client_using_post(self, baas_client_co, **kwargs): # noqa: E501 """Create a Baas Client # 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_baas_client_using_post(baas_client_co, async_req=True) >>> result = thread.get() :param async_req bool :param CreateBaasClientCO baas_client_co: baasClientCO (required) :return: BaasClientVO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_baas_client_using_post_with_http_info(baas_client_co, **kwargs) # noqa: E501 else: (data) = self.create_baas_client_using_post_with_http_info(baas_client_co, **kwargs) # noqa: E501 return data def create_baas_client_using_post_with_http_info(self, baas_client_co, **kwargs): # noqa: E501 """Create a Baas Client # 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_baas_client_using_post_with_http_info(baas_client_co, async_req=True) >>> result = thread.get() :param async_req bool :param CreateBaasClientCO baas_client_co: baasClientCO (required) :return: BaasClientVO If the method is called asynchronously, returns the request thread. """ all_params = ['baas_client_co'] # 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_baas_client_using_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'baas_client_co' is set if self.api_client.client_side_validation and ('baas_client_co' not in params or params['baas_client_co'] is None): # noqa: E501 raise ValueError("Missing the required parameter `baas_client_co` when calling `create_baas_client_using_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'baas_client_co' in params: body_params = params['baas_client_co'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/baas/client', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='BaasClientVO', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_baas_sub_account_using_post(self, baas_sub_account_co, **kwargs): # noqa: E501 """create a Baas subaccount # 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_baas_sub_account_using_post(baas_sub_account_co, async_req=True) >>> result = thread.get() :param async_req bool :param BaasSubAccountCO baas_sub_account_co: baasSubAccountCO (required) :return: BaasSubAccountVO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_baas_sub_account_using_post_with_http_info(baas_sub_account_co, **kwargs) # noqa: E501 else: (data) = self.create_baas_sub_account_using_post_with_http_info(baas_sub_account_co, **kwargs) # noqa: E501 return data def create_baas_sub_account_using_post_with_http_info(self, baas_sub_account_co, **kwargs): # noqa: E501 """create a Baas subaccount # 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_baas_sub_account_using_post_with_http_info(baas_sub_account_co, async_req=True) >>> result = thread.get() :param async_req bool :param BaasSubAccountCO baas_sub_account_co: baasSubAccountCO (required) :return: BaasSubAccountVO If the method is called asynchronously, returns the request thread. """ all_params = ['baas_sub_account_co'] # 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_baas_sub_account_using_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'baas_sub_account_co' is set if self.api_client.client_side_validation and ('baas_sub_account_co' not in params or params['baas_sub_account_co'] is None): # noqa: E501 raise ValueError("Missing the required parameter `baas_sub_account_co` when calling `create_baas_sub_account_using_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'baas_sub_account_co' in params: body_params = params['baas_sub_account_co'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/baas/subaccount', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='BaasSubAccountVO', # 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_baas_account_statement_using_get(self, end_date, nucleus_account_id, start_date, **kwargs): # noqa: E501 """Get a Baas account statement # 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_baas_account_statement_using_get(end_date, nucleus_account_id, start_date, async_req=True) >>> result = thread.get() :param async_req bool :param date end_date: end_date (required) :param str nucleus_account_id: nucleus_account_id (required) :param date start_date: start_date (required) :param str statement_type: statement_type :return: BaasStatementsVO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_baas_account_statement_using_get_with_http_info(end_date, nucleus_account_id, start_date, **kwargs) # noqa: E501 else: (data) = self.get_baas_account_statement_using_get_with_http_info(end_date, nucleus_account_id, start_date, **kwargs) # noqa: E501 return data def get_baas_account_statement_using_get_with_http_info(self, end_date, nucleus_account_id, start_date, **kwargs): # noqa: E501 """Get a Baas account statement # 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_baas_account_statement_using_get_with_http_info(end_date, nucleus_account_id, start_date, async_req=True) >>> result = thread.get() :param async_req bool :param date end_date: end_date (required) :param str nucleus_account_id: nucleus_account_id (required) :param date start_date: start_date (required) :param str statement_type: statement_type :return: BaasStatementsVO If the method is called asynchronously, returns the request thread. """ all_params = ['end_date', 'nucleus_account_id', 'start_date', 'statement_type'] # 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_baas_account_statement_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'end_date' is set if self.api_client.client_side_validation and ('end_date' not in params or params['end_date'] is None): # noqa: E501 raise ValueError("Missing the required parameter `end_date` when calling `get_baas_account_statement_using_get`") # noqa: E501 # verify the required parameter 'nucleus_account_id' is set if self.api_client.client_side_validation and ('nucleus_account_id' not in params or params['nucleus_account_id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `nucleus_account_id` when calling `get_baas_account_statement_using_get`") # noqa: E501 # verify the required parameter 'start_date' is set if self.api_client.client_side_validation and ('start_date' not in params or params['start_date'] is None): # noqa: E501 raise ValueError("Missing the required parameter `start_date` when calling `get_baas_account_statement_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'nucleus_account_id' in params: path_params['nucleus_account_id'] = params['nucleus_account_id'] # noqa: E501 query_params = [] if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'start_date' in params: query_params.append(('start_date', params['start_date'])) # noqa: E501 if 'statement_type' in params: query_params.append(('statement_type', params['statement_type'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/baas/statement/{nucleus_account_id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='BaasStatementsVO', # 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_baas_portfolio_balance_using_get(self, nucleus_portfolio_id, **kwargs): # noqa: E501 """Get a Baas portfolio balance # 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_baas_portfolio_balance_using_get(nucleus_portfolio_id, async_req=True) >>> result = thread.get() :param async_req bool :param str nucleus_portfolio_id: nucleus_portfolio_id (required) :param date end_date: end_date :param date start_date: start_date :return: BaasBalanceVO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_baas_portfolio_balance_using_get_with_http_info(nucleus_portfolio_id, **kwargs) # noqa: E501 else: (data) = self.get_baas_portfolio_balance_using_get_with_http_info(nucleus_portfolio_id, **kwargs) # noqa: E501 return data def get_baas_portfolio_balance_using_get_with_http_info(self, nucleus_portfolio_id, **kwargs): # noqa: E501 """Get a Baas portfolio balance # 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_baas_portfolio_balance_using_get_with_http_info(nucleus_portfolio_id, async_req=True) >>> result = thread.get() :param async_req bool :param str nucleus_portfolio_id: nucleus_portfolio_id (required) :param date end_date: end_date :param date start_date: start_date :return: BaasBalanceVO If the method is called asynchronously, returns the request thread. """ all_params = ['nucleus_portfolio_id', 'end_date', 'start_date'] # 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_baas_portfolio_balance_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'nucleus_portfolio_id' is set if self.api_client.client_side_validation and ('nucleus_portfolio_id' not in params or params['nucleus_portfolio_id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `nucleus_portfolio_id` when calling `get_baas_portfolio_balance_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'nucleus_portfolio_id' in params: path_params['nucleus_portfolio_id'] = params['nucleus_portfolio_id'] # noqa: E501 query_params = [] if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'start_date' in params: query_params.append(('start_date', params['start_date'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/baas/balance/{nucleus_portfolio_id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='BaasBalanceVO', # 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_baas_portfolio_transaction_using_get(self, nucleus_portfolio_id, **kwargs): # noqa: E501 """Get a Baas portfolio transaction # 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_baas_portfolio_transaction_using_get(nucleus_portfolio_id, async_req=True) >>> result = thread.get() :param async_req bool :param str nucleus_portfolio_id: nucleus_portfolio_id (required) :param date end_date: end_date :param date start_date: start_date :return: BaasTransactionsVO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_baas_portfolio_transaction_using_get_with_http_info(nucleus_portfolio_id, **kwargs) # noqa: E501 else: (data) = self.get_baas_portfolio_transaction_using_get_with_http_info(nucleus_portfolio_id, **kwargs) # noqa: E501 return data def get_baas_portfolio_transaction_using_get_with_http_info(self, nucleus_portfolio_id, **kwargs): # noqa: E501 """Get a Baas portfolio transaction # 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_baas_portfolio_transaction_using_get_with_http_info(nucleus_portfolio_id, async_req=True) >>> result = thread.get() :param async_req bool :param str nucleus_portfolio_id: nucleus_portfolio_id (required) :param date end_date: end_date :param date start_date: start_date :return: BaasTransactionsVO If the method is called asynchronously, returns the request thread. """ all_params = ['nucleus_portfolio_id', 'end_date', 'start_date'] # 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_baas_portfolio_transaction_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'nucleus_portfolio_id' is set if self.api_client.client_side_validation and ('nucleus_portfolio_id' not in params or params['nucleus_portfolio_id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `nucleus_portfolio_id` when calling `get_baas_portfolio_transaction_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'nucleus_portfolio_id' in params: path_params['nucleus_portfolio_id'] = params['nucleus_portfolio_id'] # noqa: E501 query_params = [] if 'end_date' in params: query_params.append(('end_date', params['end_date'])) # noqa: E501 if 'start_date' in params: query_params.append(('start_date', params['start_date'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/baas/transaction/{nucleus_portfolio_id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='BaasTransactionsVO', # 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_baas_business_using_put(self, nucleus_business_id, **kwargs): # noqa: E501 """Update a Baas business # 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_baas_business_using_put(nucleus_business_id, async_req=True) >>> result = thread.get() :param async_req bool :param str nucleus_business_id: nucleus_business_id (required) :param UpdateBaasBusinessCO baas_business_co: baasBusinessCO :return: BaasBusinessVO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.update_baas_business_using_put_with_http_info(nucleus_business_id, **kwargs) # noqa: E501 else: (data) = self.update_baas_business_using_put_with_http_info(nucleus_business_id, **kwargs) # noqa: E501 return data def update_baas_business_using_put_with_http_info(self, nucleus_business_id, **kwargs): # noqa: E501 """Update a Baas business # 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_baas_business_using_put_with_http_info(nucleus_business_id, async_req=True) >>> result = thread.get() :param async_req bool :param str nucleus_business_id: nucleus_business_id (required) :param UpdateBaasBusinessCO baas_business_co: baasBusinessCO :return: BaasBusinessVO If the method is called asynchronously, returns the request thread. """ all_params = ['nucleus_business_id', 'baas_business_co'] # 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_baas_business_using_put" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'nucleus_business_id' is set if self.api_client.client_side_validation and ('nucleus_business_id' not in params or params['nucleus_business_id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `nucleus_business_id` when calling `update_baas_business_using_put`") # noqa: E501 collection_formats = {} path_params = {} if 'nucleus_business_id' in params: path_params['nucleus_business_id'] = params['nucleus_business_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'baas_business_co' in params: body_params = params['baas_business_co'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/baas/business/{nucleus_business_id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='BaasBusinessVO', # 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_baas_client_using_put(self, nucleus_client_id, **kwargs): # noqa: E501 """Update a Baas client # 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_baas_client_using_put(nucleus_client_id, async_req=True) >>> result = thread.get() :param async_req bool :param str nucleus_client_id: nucleus_client_id (required) :param UpdateBaasClientCO baas_client_co: baasClientCO :return: BaasClientVO If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.update_baas_client_using_put_with_http_info(nucleus_client_id, **kwargs) # noqa: E501 else: (data) = self.update_baas_client_using_put_with_http_info(nucleus_client_id, **kwargs) # noqa: E501 return data def update_baas_client_using_put_with_http_info(self, nucleus_client_id, **kwargs): # noqa: E501 """Update a Baas client # 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_baas_client_using_put_with_http_info(nucleus_client_id, async_req=True) >>> result = thread.get() :param async_req bool :param str nucleus_client_id: nucleus_client_id (required) :param UpdateBaasClientCO baas_client_co: baasClientCO :return: BaasClientVO If the method is called asynchronously, returns the request thread. """ all_params = ['nucleus_client_id', 'baas_client_co'] # 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_baas_client_using_put" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'nucleus_client_id' is set if self.api_client.client_side_validation and ('nucleus_client_id' not in params or params['nucleus_client_id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `nucleus_client_id` when calling `update_baas_client_using_put`") # noqa: E501 collection_formats = {} path_params = {} if 'nucleus_client_id' in params: path_params['nucleus_client_id'] = params['nucleus_client_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'baas_client_co' in params: body_params = params['baas_client_co'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['*/*']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/baas/client/{nucleus_client_id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='BaasClientVO', # 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)

42.809574

155

0.631396

4,701

40,241

5.063603

0.037864

0.046043

0.028735

0.027222

0.962569

0.954587

0.937195

0.923836

0.911359

0.902285

0

0.014898

0.284436

40,241

939

156

42.855165

0.811773

0.306727

0

0.756335

1

0

0.204768

0.059296

0

1

0.037037

false

0

0.007797

0

0.099415

0

null

0

1

0

1

0

null

0

8

ec6f4b0e8ea00a1d9e836e0ce9dd4bfe7fc0f269

169

py

Python

src/__init__.py

caja-matematica/chimera-embedding

637a3c1823d608e24c04ee355ae43b2590388216

[ "Apache-2.0" ]

26

2016-05-13T22:17:13.000Z

2022-01-16T16:48:44.000Z

src/__init__.py

caja-matematica/chimera-embedding

637a3c1823d608e24c04ee355ae43b2590388216

[ "Apache-2.0" ]

1

2019-06-20T16:49:00.000Z

src/__init__.py

caja-matematica/chimera-embedding

637a3c1823d608e24c04ee355ae43b2590388216

[ "Apache-2.0" ]

23

2016-10-14T18:08:53.000Z

2022-01-16T16:48:57.000Z

try: from polynomialembedder import processor, random_processor except ImportError: from chimera_embedding.polynomialembedder import processor, random_processor

33.8

80

0.846154

17

169

8.235294

0.588235

0.342857

0.471429

0.557143

0.685714

0

0.12426

169

4

81

42.25

0.945946

0

1

0

true

0

0.75

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

01ffaedab6f3ca7889d6a7e9a4c2516ee6baecfa

2,098

py

Python

src/test/string_instructions.py

cgjones/rr

dcdde9c497cad27618b27f6754c11b0693894178

[ "MIT" ]

null

src/test/string_instructions.py

cgjones/rr

dcdde9c497cad27618b27f6754c11b0693894178

[ "MIT" ]

null

src/test/string_instructions.py

cgjones/rr

dcdde9c497cad27618b27f6754c11b0693894178

[ "MIT" ]

null

from rrutil import * send_gdb('break string_store\n') expect_gdb('Breakpoint 1') # string_store 1-byte forwards send_gdb('c\n') expect_gdb('Breakpoint 1') send_gdb('finish\n') send_gdb('watch -l p[1000000]\n') expect_gdb('watchpoint') send_gdb('reverse-continue\n') expect_gdb('Old value = 97') expect_gdb('New value = 0') send_gdb('p p[999999]\n') expect_gdb('= 97') send_gdb('p p[1000000]\n') expect_gdb('= 0') send_gdb('p p[1000001]\n') expect_gdb('= 0') send_gdb('disable\n') send_gdb('enable 1\n') # string_store 1-byte backwards send_gdb('c\n') expect_gdb('Breakpoint 1') send_gdb('finish\n') send_gdb('watch -l p[1000000]\n') expect_gdb('watchpoint') send_gdb('reverse-continue\n') expect_gdb('Old value = 98') expect_gdb('New value = 97') send_gdb('p p[1000001]\n') expect_gdb('= 98') send_gdb('p p[1000000]\n') expect_gdb('= 97') send_gdb('p p[999999]\n') expect_gdb('= 97') send_gdb('disable\n') send_gdb('enable 1\n') # string_store 2-bytes forwards send_gdb('c\n') expect_gdb('Breakpoint 1') send_gdb('finish\n') send_gdb('watch -l p[1000001]\n') expect_gdb('watchpoint') send_gdb('reverse-continue\n') expect_gdb('Old value = 97') expect_gdb('New value = 0') send_gdb('p p[999999]\n') expect_gdb('= 97') send_gdb('p p[1000000]\n') expect_gdb('= 0') send_gdb('p p[1000001]\n') expect_gdb('= 0') send_gdb('disable\n') send_gdb('enable 1\n') # string_store 2-bytes backwards # Check that a watch at the end of the loop is OK send_gdb('c\n') expect_gdb('Breakpoint 1') send_gdb('finish\n') send_gdb('watch -l p[0]\n') expect_gdb('watchpoint') send_gdb('reverse-continue\n') expect_gdb('Old value = 98') expect_gdb('New value = 97') send_gdb('p p[0]\n') expect_gdb('= 97') send_gdb('disable\n') send_gdb('enable 1\n') # string_store 4-bytes forwards # Just check that the late-watchpoint quirk is suppressed send_gdb('c\n') expect_gdb('Breakpoint 1') send_gdb('watch -l p[800000]\n') expect_gdb('watchpoint') send_gdb('continue\n') expect_gdb('Old value = 0') expect_gdb('New value = 97') send_gdb('p p[800003]\n') expect_gdb('= 97') send_gdb('p p[800004]\n') expect_gdb('= 0') ok()

23.311111

57

0.706864

384

2,098

3.65625

0.140625

0.19943

0.076923

0.85114

0.824786

0.787037

0.740028

0.720085

0

0.080169

0.096282

2,098

89

58

23.573034

0.660338

0.120591

0

0.84

0

0.425694

0

1

0

true

0

0.013333

0

0.013333

0

null

0

1

0

1

0

1

0

null

0

1

0

9

bd63ceb382d5ee184d8d6f6f53d3a166347f2f5d

132

py

Python

exit.py

sid1689/parking_lot_gate_final

d097c811aee706f23f1f1c83d130aa8e6654c7a8

[ "MIT" ]

null

exit.py

sid1689/parking_lot_gate_final

d097c811aee706f23f1f1c83d130aa8e6654c7a8

[ "MIT" ]

null

exit.py

sid1689/parking_lot_gate_final

d097c811aee706f23f1f1c83d130aa8e6654c7a8

[ "MIT" ]

null

from exit_camera import ExitCamera from utils import GATE_CAMERA_1, GATE_CAMERA_2, GATE_CAMERA_3, WEBCAM ExitCamera(GATE_CAMERA_1)

26.4

69

0.863636

22

132

4.772727

0.5

0.380952

0.209524

0

0.033613

0.098485

132

4

70

33

0.84874

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

da180a85518dbf933bcb617d3b6ada19c27298a7

1,928

py

Python

dacbench/challenge_benchmarks/state_space_challenge/random_states.py

ndangtt/LeadingOnesDAC

953747d8702f179851d7973c65779a1f830e03a1

[ "Apache-2.0" ]

11

2020-11-09T10:50:31.000Z

2022-02-19T09:23:44.000Z

dacbench/challenge_benchmarks/state_space_challenge/random_states.py

ndangtt/LeadingOnesDAC

953747d8702f179851d7973c65779a1f830e03a1

[ "Apache-2.0" ]

95

2020-11-18T09:37:30.000Z

2022-02-17T10:05:33.000Z

dacbench/challenge_benchmarks/state_space_challenge/random_states.py

ndangtt/LeadingOnesDAC

953747d8702f179851d7973c65779a1f830e03a1

[ "Apache-2.0" ]

11

2020-11-15T15:24:27.000Z

2022-03-14T14:51:43.000Z

import numpy as np def small_random_luby_state(self): core_state = self.get_default_state(None) num_random_elements = 20 - len(core_state) for i in range(num_random_elements): core_state.append(np.random.normal(3, 2.5)) return core_state def random_luby_state(self): core_state = self.get_default_state(None) num_random_elements = 250 - len(core_state) for i in range(num_random_elements): core_state.append(np.random.normal(3, 2.5)) return core_state def small_random_sigmoid_state(self): core_state = self.get_default_state(None) num_random_elements = 50 - len(core_state) state = [] for i in range(50): if num_random_elements > 0 and len(core_state) > 0: append_random = np.random.choice([0, 1]) if append_random: state.append(np.random.normal(2, 1.5)) num_random_elements -= 1 else: state.append(core_state[0]) core_state = core_state[1:] elif len(core_state) == 0: state.append(np.random.normal(2, 1.5)) else: state.append(core_state[0]) core_state = core_state[1:] return state def random_sigmoid_state(self): core_state = self.get_default_state(None) num_random_elements = 500 - len(core_state) state = [] for i in range(500): if num_random_elements > 0 and len(core_state) > 0: append_random = np.random.choice([0, 1]) if append_random: state.append(np.random.normal(2, 1.5)) num_random_elements -= 1 else: state.append(core_state[0]) core_state = core_state[1:] elif len(core_state) == 0: state.append(np.random.normal(2, 1.5)) else: state.append(core_state[0]) core_state = core_state[1:] return state

32.133333

59

0.604772

270

1,928

4.059259

0.144444

0.229927

0.155109

0.104015

0.958029

0.906934

0

0.038856

0.292531

1,928

59

60

32.677966

0.764663

0

0.784314

0

1

0.078431

false

0

0.019608

0

0.176471

0

null

1

0

1

0

1

0

null

0

8

da461498208022c63d566b06b25d172000c5b03b

8,549

py

Python

src/test/pythonFiles/typeFormatFiles/elseBlocks2.py

ChaseKnowlden/vscode-jupyter

9bdaf87f0b6dcd717c508e9023350499a6093f97

[ "MIT" ]

695

2019-05-06T23:49:37.000Z

2022-03-30T01:56:00.000Z

src/test/pythonFiles/typeFormatFiles/elseBlocks2.py

ChaseKnowlden/vscode-jupyter

9bdaf87f0b6dcd717c508e9023350499a6093f97

[ "MIT" ]

8,428

2020-11-11T22:06:43.000Z

2022-03-31T23:42:34.000Z

src/test/pythonFiles/typeFormatFiles/elseBlocks2.py

vasili8m/vscode-python

846eee870e8b7bab38172600836faedb5fb80166

[ "MIT" ]

158

2020-11-12T07:49:02.000Z

2022-03-27T20:50:20.000Z

var = 100 if var == 200: print "1 - Got a true expression value" print var elif var == 150: print "2 - Got a true expression value" print var elif var == 100: print "3 - Got a true expression value" print var else: print "4 - Got a false expression value" print var var = 100 if var == 200: print "1 - Got a true expression value" print var elif var == 150: print "2 - Got a true expression value" print var elif var == 100: print "3 - Got a true expression value" print var else: print "4 - Got a false expression value" print var var = 100 if var == 200: print "1 - Got a true expression value" print var elif var == 150: print "2 - Got a true expression value" print var elif var == 100: print "3 - Got a true expression value" print var else: print "4 - Got a false expression value" print var for n in range(2, 10): for x in range(2, n): if n % x == 0: print n, 'equals', x, '*', n/x break else: # loop fell through without finding a factor print n, 'is a prime number' for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print('cannot open', arg) #except should be in same level as try else: print(arg, 'has', len(f.readlines()), 'lines') f.close() def test(): var = 100 if var == 200: print "1 - Got a true expression value" print var elif var == 150: print "2 - Got a true expression value" print var elif var == 100: print "3 - Got a true expression value" print var else: print "4 - Got a false expression value" print var var = 100 if var == 200: print "1 - Got a true expression value" print var elif var == 150: print "2 - Got a true expression value" print var elif var == 100: print "3 - Got a true expression value" print var else: print "4 - Got a false expression value" print var var = 100 if var == 200: print "1 - Got a true expression value" print var elif var == 150: print "2 - Got a true expression value" print var elif var == 100: print "3 - Got a true expression value" print var else: print "4 - Got a false expression value" print var for n in range(2, 10): for x in range(2, n): if n % x == 0: print n, 'equals', x, '*', n/x break else: # loop fell through without finding a factor print n, 'is a prime number' for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print('cannot open', arg) #except should be in same level as try else: print(arg, 'has', len(f.readlines()), 'lines') f.close() def ask_ok(prompt, retries=4, complaint='Yes or no, please!'): while True: ok = raw_input(prompt) if ok in ('y', 'ye', 'yes'): return True if ok in ('n', 'no', 'nop', 'nope'): return False retries = retries - 1 if retries < 0: raise IOError('refusenik user') print complaint else: pass for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print('cannot open', arg) #else should be in same level as try else: print(arg, 'has', len(f.readlines()), 'lines') f.close() def minus(): for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print('cannot open', arg) #except should be in same level as try else: print(arg, 'has', len(f.readlines()), 'lines') f.close() for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print('cannot open', arg) #else should be in same level as try else: print(arg, 'has', len(f.readlines()), 'lines') f.close() def two(): for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print('cannot open', arg) # else should be in same level as except else: print(arg, 'has', len(f.readlines()), 'lines') f.close() for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print('cannot open', arg) # else should be in same level as except else: print(arg, 'has', len(f.readlines()), 'lines') f.close() def divide(x, y): try: result = x / y except ZeroDivisionError: print("division by zero!") else: print("result is", result) finally: print("executing finally clause") class DoSomething(): def test(): var = 100 if var == 200: print "1 - Got a true expression value" print var elif var == 150: print "2 - Got a true expression value" print var elif var == 100: print "3 - Got a true expression value" print var else: print "4 - Got a false expression value" print var var = 100 if var == 200: print "1 - Got a true expression value" print var elif var == 150: print "2 - Got a true expression value" print var elif var == 100: print "3 - Got a true expression value" print var else: print "4 - Got a false expression value" print var var = 100 if var == 200: print "1 - Got a true expression value" print var elif var == 150: print "2 - Got a true expression value" print var elif var == 100: print "3 - Got a true expression value" print var else: print "4 - Got a false expression value" print var for n in range(2, 10): for x in range(2, n): if n % x == 0: print n, 'equals', x, '*', n/x break else: # loop fell through without finding a factor print n, 'is a prime number' for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print('cannot open', arg) #except should be in same level as try else: print(arg, 'has', len(f.readlines()), 'lines') f.close() def ask_ok(prompt, retries=4, complaint='Yes or no, please!'): while True: ok = raw_input(prompt) if ok in ('y', 'ye', 'yes'): return True if ok in ('n', 'no', 'nop', 'nope'): return False retries = retries - 1 if retries < 0: raise IOError('refusenik user') print complaint else: pass for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print('cannot open', arg) #else should be in same level as try else: print(arg, 'has', len(f.readlines()), 'lines') f.close() def minus(): for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print('cannot open', arg) #except should be in same level as try else: print(arg, 'has', len(f.readlines()), 'lines') f.close() for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print('cannot open', arg) #else should be in same level as try else: print(arg, 'has', len(f.readlines()), 'lines') f.close() def two(): for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print('cannot open', arg) # else should be in same level as except else: print(arg, 'has', len(f.readlines()), 'lines') f.close() for arg in sys.argv[1:]: try: f = open(arg, 'r') except IOError: print('cannot open', arg) # else should be in same level as except else: print(arg, 'has', len(f.readlines()), 'lines') f.close() def divide(x, y): try: result = x / y except ZeroDivisionError: print("division by zero!") else: print("result is", result) finally: print("executing finally clause") var = 100 if var == 200: print "1 - Got a true expression value" print var elif var == 150: print "2 - Got a true expression value" print var elif var == 100: print "3 - Got a true expression value" print var else: print "4 - Got a false expression value" print var var = 100 if var == 200: print "1 - Got a true expression value" print var if var == 150: print "2 - Got a true expression value" print var elif var == 100: print "3 - Got a true expression value" print var else: print "4 - Got a false expression value" print var

23.357923

64

0.553866

1,252

8,549

3.778754

0.073482

0.037201

0.186007

0.213908

0.996195

0

0.036733

0.331267

8,549

365

65

23.421918

0.790799

0

0.99373

0

0.240187

0

null

0.00627

0

null

0.401254

0

null

0

1

0

1

0

null

0

1

0

1

0

11

da4b9ad0ca6cdb8cb1b1de17d0b8b5af337b5e81

210

py

Python

init_map/admin.py

PavelMostovoy/map.aqa.science

9a6e9a68228af54f98f37c2e3db3bb66b22b653c

[ "Apache-2.0" ]

null

init_map/admin.py

PavelMostovoy/map.aqa.science

9a6e9a68228af54f98f37c2e3db3bb66b22b653c

[ "Apache-2.0" ]

null

init_map/admin.py

PavelMostovoy/map.aqa.science

9a6e9a68228af54f98f37c2e3db3bb66b22b653c

[ "Apache-2.0" ]

null

from leaflet.admin import LeafletGeoAdmin from django.contrib import admin from .models import Spot, Polygon admin.site.register((Polygon, Spot), LeafletGeoAdmin) # admin.site.register(Polygon,LeafletGeoAdmin)

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7

e53a4e58537968f6d340737293b38acf2e824ab3

564

py

Python

tests/test_all_imports.py

connor-mccarthy/snappy

58b890ddffe46ea2de37c40bf8ab971788649b17

[ "MIT" ]

null

tests/test_all_imports.py

connor-mccarthy/snappy

58b890ddffe46ea2de37c40bf8ab971788649b17

[ "MIT" ]

null

tests/test_all_imports.py

connor-mccarthy/snappy

58b890ddffe46ea2de37c40bf8ab971788649b17

[ "MIT" ]

null

# flake8: noqa # type: ignore from snappy.cli.application import * from snappy.cli.commands import * from snappy.cli.config import * from snappy.cli.constants import * from snappy.cli.helpers.aws.ecr import * from snappy.cli.helpers.aws.general import * from snappy.cli.helpers.aws.iam import * from snappy.cli.helpers.aws.lambda_function import * from snappy.cli.helpers.common import * from snappy.cli.helpers.yaml_helpers import * from snappy.cli.styles import * from snappy.lambda_handler import * from snappy.types import * def test_all_imports(): pass

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null

0

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0

1

0

7

e57200d198394d43c342a29c7f204b1d6bf807d3

20,398

py

Python

code/DataLoader.py

wenhuchen/KGPT

f898577d8e0ebbf48ea84915777c7b01e616ca3a

[ "MIT" ]

119

2020-10-06T08:21:21.000Z

2022-03-25T12:00:10.000Z

code/DataLoader.py

wenhuchen/KGPT

f898577d8e0ebbf48ea84915777c7b01e616ca3a

[ "MIT" ]

7

2020-10-29T09:34:14.000Z

2021-12-28T14:27:27.000Z

code/DataLoader.py

wenhuchen/KGPT

f898577d8e0ebbf48ea84915777c7b01e616ca3a

[ "MIT" ]

16

2020-10-07T18:58:48.000Z

2022-02-23T07:42:29.000Z

import torch import os import numpy as np import json import torch import random import pandas import re import copy from torch.utils.data import Dataset def safe_setting(matrix, x_start, x_end, y_start, y_end): if x_start >= matrix.shape[0] or y_start >= matrix.shape[0]: return matrix[x_start:min(matrix.shape[0], x_end), y_start:min(matrix.shape[1], y_end)] = 1 return class KBDataset(Dataset): def __init__(self, file_path, tokenizer, max_entity, max_fact, forbid_duplicate_relation=True, percent=1.0): super(KBDataset, self).__init__() with open(file_path, 'r') as f: self.data = json.load(f) if percent > 1: self.data = self.data[:int(percent)] else: selected_size = int(len(self.data) * percent) self.data = self.data[:selected_size] self.tokenizer = tokenizer self.max_entity = max_entity self.max_fact = max_fact self.forbid_duplicate_relation = forbid_duplicate_relation def linearize_v2(self, entity, lower_case=False): if lower_case: string = self.tokenizer.encode('[ENT] {}'.format(entity[0].lower()), add_special_tokens=False) else: string = self.tokenizer.encode('[ENT] {}'.format(entity[0]), add_special_tokens=False) triple_id = [1] * len(string) if lower_case: words = self.tokenizer.encode('[TRIPLE] [PRED] description [SUB] {} [TRIPLE]'.format(entity[1].lower()), add_special_tokens=False) else: words = self.tokenizer.encode('[TRIPLE] [PRED] description [SUB] {} [TRIPLE]'.format(entity[1]), add_special_tokens=False) string += words triple_id += [triple_id[-1] + 1] * len(words) added = set() for rel in entity[2]: if self.forbid_duplicate_relation and rel[0] in added: pass else: if lower_case: words = self.tokenizer.encode('[PRED] {} [SUB] {} [TRIPLE]'.format(rel[0].lower(), rel[1].lower()), add_special_tokens=False) else: words = self.tokenizer.encode('[PRED] {} [SUB] {} [TRIPLE]'.format(rel[0], rel[1]), add_special_tokens=False) string += words triple_id += [triple_id[-1] + 1] * len(words) added.add(rel[0]) if len(added) >= self.max_fact: break return string, triple_id def __len__(self): return len(self.data) def __getitem__(self): raise NotImplementedError class WikiDataDataset(KBDataset): def __init__(self, file_path, knowledge_path, tokenizer, max_entity, max_fact=12, max_enc_len=1024, max_dec_len=50, encoder=None, lower_case=False): super(WikiDataDataset, self).__init__(file_path, tokenizer, max_entity, max_fact, True) with open(knowledge_path, 'r') as f: self.knowledge = json.load(f) print("Total samples = {}; Total entities = {}".format(len(self.data), len(self.knowledge))) self.max_enc_len = max_enc_len self.max_dec_len = max_dec_len self.lower_case = lower_case self.tokenizer = tokenizer self.pad_idx = tokenizer.pad_token_id self.encoder = encoder def get_reference(self, idx, lower_case=False): if self.lower_case: return [[_.lower() for _ in self.data[idx]['text']]] else: return [self.data[idx]['text']] def get_entities(self, idx): entry = self.data[idx] entities = [] for _ in entry['kblinks']: if _ is not None and _ in self.knowledge and _ not in entities: entities.append(_) if 'title' in entry: entities.insert(0, "TITLE:::" + entry['title_kb_id']) return entities def __getitem__(self, idx): entry = self.data[idx] sentence = ' '.join(entry['text']) if self.lower_case: sentence = sentence.lower() entities = [] for _ in entry['kblinks']: if _ is not None and _ in self.knowledge and _ not in entities: entities.append(_) if self.encoder == 'sequence': strings = [] entity_ids = [] triple_ids = [] if 'title' in entry: entity = self.knowledge[entry['title_kb_id']] string, triple_id = self.linearize_v2(entity, self.lower_case) strings += string entity_ids += [0] * len(string) triple_ids += triple_id for i, entity_id in enumerate(entities): if i + 1 >= self.max_entity: break entity = self.knowledge[entity_id] string, triple_id = self.linearize_v2(entity, self.lower_case) strings += string entity_ids += [i + 1] * len(string) triple_ids += triple_id position_ids = list(range(len(strings))) assert len(strings) == len(entity_ids) == len(triple_ids) == len(position_ids) if len(strings) >= self.max_enc_len: input_ids = torch.LongTensor(strings[:self.max_enc_len]) entity_ids = torch.LongTensor(entity_ids[:self.max_enc_len]) triple_ids = torch.LongTensor(triple_ids[:self.max_enc_len]) position_ids = torch.LongTensor(position_ids[:self.max_enc_len]) else: input_ids = torch.LongTensor(strings + [self.pad_idx] * (self.max_enc_len - len(strings))) entity_ids = torch.LongTensor(entity_ids + [0] * (self.max_enc_len - len(strings))) triple_ids = torch.LongTensor(triple_ids + [0] * (self.max_enc_len - len(strings))) position_ids = torch.LongTensor(position_ids + [0] * (self.max_enc_len - len(strings))) sentence = self.tokenizer.encode('[SOS] {} [EOS]'.format(sentence), add_special_tokens=False) if len(sentence) >= self.max_dec_len: output_ids = torch.LongTensor(sentence[:self.max_dec_len]) else: output_ids = torch.LongTensor(sentence[:self.max_dec_len] + [self.pad_idx] * (self.max_dec_len - len(sentence))) return input_ids, entity_ids, triple_ids, position_ids, output_ids[:-1], output_ids[1:] elif self.encoder == 'graph': strings = [] term_level_mask = torch.eye(self.max_enc_len).bool() triple_level_mask = torch.eye(self.max_enc_len).bool() entity_level_mask = torch.eye(self.max_enc_len).bool() fact_level_mask = torch.eye(self.max_enc_len).bool() gather_level_mask = torch.eye(self.max_enc_len).bool() offset = 0 entity_positions = [] if 'title' in entry: entities.insert(0, entry['title_kb_id']) for i, entity_id in enumerate(entities): if i >= self.max_entity: break entity = self.knowledge[entity_id] string = self.tokenizer.encode('[ENT]') entity_positions.append(offset) offset += 1 entity[2].insert(0, ['description', entity[1]]) triple_positions = [] added = set() for rel in entity[2]: if offset >= self.max_enc_len - 1: break elif self.forbid_duplicate_relation and rel[0] in added: continue else: words = self.tokenizer.encode('[TRIPLE]', add_special_tokens=False) triple_positions.append(offset) string += words offset += len(words) words = self.tokenizer.encode('{} [PRED] {} [SUB] {}'.format(entity[0], rel[0], rel[1]), add_special_tokens=False) string += words safe_setting(term_level_mask, offset, offset + len(words), offset, offset + len(words)) offset += len(words) safe_setting(triple_level_mask, triple_positions[-1], triple_positions[-1] + 1, triple_positions[-1] + 1, offset) added.add(rel[0]) if len(added) >= self.max_fact: break entity_level_mask[entity_positions[-1], triple_positions] = 1 strings += string # Reserve at least 4 tokens for the next entity if offset >= self.max_enc_len - 5: break for entity_position in entity_positions: fact_level_mask[entity_position, entity_positions] = 1 for i in range(len(entity_positions) - 1): gather_level_mask[entity_positions[i] + 1 : entity_positions[i + 1], entity_positions] = 1 gather_level_mask[entity_positions[-1] + 1:offset, entity_positions] = 1 if len(strings) >= self.max_enc_len: input_ids = torch.LongTensor(strings[:self.max_enc_len]) else: input_ids = torch.LongTensor(strings + [self.pad_idx] * (self.max_enc_len - len(strings))) sentence = self.tokenizer.encode('[SOS] {} [EOS]'.format(sentence), add_special_tokens=False) if len(sentence) >= self.max_dec_len: output_ids = torch.LongTensor(sentence[:self.max_dec_len]) else: output_ids = torch.LongTensor(sentence[:self.max_dec_len] + [self.pad_idx] * (self.max_dec_len - len(sentence))) term_level_mask = ~term_level_mask triple_level_mask = ~triple_level_mask entity_level_mask = ~entity_level_mask fact_level_mask = ~fact_level_mask gather_level_mask = ~gather_level_mask return input_ids, term_level_mask, triple_level_mask, entity_level_mask, fact_level_mask, gather_level_mask, output_ids[:-1], output_ids[1:] else: raise NotImplementedError class DownStreamDataset(KBDataset): def __init__(self, file_path, tokenizer, max_entity, max_fact=12, max_enc_len=128, max_dec_len=30, encoder=None, forbid_duplicate_relation=True, percent=1.0): super(DownStreamDataset, self).__init__(file_path, tokenizer, max_entity, max_fact, forbid_duplicate_relation, percent) print("Total samples = {}".format(len(self.data))) self.max_enc_len = max_enc_len self.max_dec_len = max_dec_len self.tokenizer = tokenizer self.pad_idx = tokenizer.pad_token_id self.encoder = encoder def get_reference(self, idx, do_lower_case=False): if do_lower_case: return [_.lower().split(' ') for _ in self.data[idx]['text']] else: return [_.split(' ') for _ in self.data[idx]['text']] def get_entities(self, idx): return list(self.data[idx]['kbs'].keys()) def __getitem__(self, idx): entry = self.data[idx] sentence = random.choice(entry['text']) KBs = entry['kbs'] if self.encoder == 'sequence': strings = [] entity_ids = [] triple_ids = [] for i, entity_label in enumerate(KBs): if i + 1 >= self.max_entity: break entity = KBs[entity_label] string, triple_id = self.linearize_v2(entity) strings += string entity_ids += [i + 1] * len(string) triple_ids += triple_id position_ids = list(range(len(strings))) assert len(strings) == len(entity_ids) == len(triple_ids) == len(position_ids) if len(strings) >= self.max_enc_len: input_ids = torch.LongTensor(strings[:self.max_enc_len]) entity_ids = torch.LongTensor(entity_ids[:self.max_enc_len]) triple_ids = torch.LongTensor(triple_ids[:self.max_enc_len]) position_ids = torch.LongTensor(position_ids[:self.max_enc_len]) else: input_ids = torch.LongTensor(strings + [self.pad_idx] * (self.max_enc_len - len(strings))) entity_ids = torch.LongTensor(entity_ids + [0] * (self.max_enc_len - len(strings))) triple_ids = torch.LongTensor(triple_ids + [0] * (self.max_enc_len - len(strings))) position_ids = torch.LongTensor(position_ids + [0] * (self.max_enc_len - len(strings))) sentence = self.tokenizer.encode('[SOS] {} [EOS]'.format(sentence), add_special_tokens=False) if len(sentence) >= self.max_dec_len: output_ids = torch.LongTensor(sentence[:self.max_dec_len]) else: output_ids = torch.LongTensor(sentence[:self.max_dec_len] + [self.pad_idx] * (self.max_dec_len - len(sentence))) return input_ids, entity_ids, triple_ids, position_ids, output_ids[:-1], output_ids[1:] elif self.encoder == 'graph': strings = [] term_level_mask = torch.eye(self.max_enc_len).bool() triple_level_mask = torch.eye(self.max_enc_len).bool() entity_level_mask = torch.eye(self.max_enc_len).bool() fact_level_mask = torch.eye(self.max_enc_len).bool() gather_level_mask = torch.eye(self.max_enc_len).bool() offset = 0 entity_positions = [] for i, entity_label in enumerate(KBs): if i >= self.max_entity: break entity = KBs[entity_label] string = self.tokenizer.encode('[ENT]') entity_positions.append(offset) offset += 1 triple_positions = [] entity[2].insert(0, ['description', entity[1]]) added = set() for rel in entity[2]: if offset >= self.max_enc_len - 1: break elif self.forbid_duplicate_relation and rel[0] in added: continue else: words = self.tokenizer.encode('[TRIPLE]', add_special_tokens=False) triple_positions.append(offset) string += words offset += len(words) words = self.tokenizer.encode('{} [PRED] {} [SUB] {}'.format(entity[0], rel[0], rel[1]), add_special_tokens=False) string += words safe_setting(term_level_mask, offset, offset + len(words), offset, offset + len(words)) offset += len(words) safe_setting(triple_level_mask, triple_positions[-1], triple_positions[-1] + 1, triple_positions[-1] + 1, offset) added.add(rel[0]) if len(added) >= self.max_fact: break entity_level_mask[entity_positions[-1], triple_positions] = 1 strings += string # Reserve at least 4 tokens for the next entity if offset >= self.max_enc_len - 5: break for entity_position in entity_positions: fact_level_mask[entity_position, entity_positions] = 1 for i in range(len(entity_positions) - 1): gather_level_mask[entity_positions[i] + 1 : entity_positions[i + 1], entity_positions] = 1 gather_level_mask[entity_positions[-1] + 1:offset, entity_positions] = 1 if len(strings) >= self.max_enc_len: input_ids = torch.LongTensor(strings[:self.max_enc_len]) else: input_ids = torch.LongTensor(strings + [self.pad_idx] * (self.max_enc_len - len(strings))) sentence = self.tokenizer.encode('[SOS] {} [EOS]'.format(sentence), add_special_tokens=False) if len(sentence) >= self.max_dec_len: output_ids = torch.LongTensor(sentence[:self.max_dec_len]) else: output_ids = torch.LongTensor(sentence[:self.max_dec_len] + [self.pad_idx] * (self.max_dec_len - len(sentence))) term_level_mask = ~term_level_mask triple_level_mask = ~triple_level_mask entity_level_mask = ~entity_level_mask fact_level_mask = ~fact_level_mask gather_level_mask = ~gather_level_mask return input_ids, term_level_mask, triple_level_mask, entity_level_mask, fact_level_mask, gather_level_mask, output_ids[:-1], output_ids[1:] else: raise NotImplementedError class WebNLGDataset(DownStreamDataset): def __init__(self, file_path, tokenizer, max_entity, max_fact=12, max_enc_len=128, max_dec_len=30, encoder=False, percent=1.0): super(WebNLGDataset, self).__init__(file_path, tokenizer, max_entity, max_fact, max_enc_len, max_dec_len, encoder, True, percent) class WebNLGChallengeDataset(DownStreamDataset): def __init__(self, file_path, tokenizer, max_entity, max_fact=12, max_enc_len=128, max_dec_len=30, encoder=False, percent=1.0): super(WebNLGChallengeDataset, self).__init__(file_path, tokenizer, max_entity, max_fact, max_enc_len, max_dec_len, encoder, True, percent) class E2ENLGDataset(DownStreamDataset): def __init__(self, file_path, tokenizer, max_entity, max_fact=12, max_enc_len=128, max_dec_len=30, encoder=False, percent=1.0): super(E2ENLGDataset, self).__init__(file_path, tokenizer, max_entity, max_fact, max_enc_len, max_dec_len, encoder, True, percent) class LogicNLGDataset(DownStreamDataset): def __init__(self, file_path, tokenizer, max_entity, max_fact=12, max_enc_len=128, max_dec_len=30, encoder=False, percent=1.0): super(LogicNLGDataset, self).__init__(file_path, tokenizer, max_entity, max_fact, max_enc_len, max_dec_len, encoder, False, percent) class WikiBioNLGDataset(DownStreamDataset): def __init__(self, file_path, tokenizer, max_entity, max_fact=12, max_enc_len=128, max_dec_len=30, encoder=False, percent=1.0): super(WikiBioNLGDataset, self).__init__(file_path, tokenizer, max_entity, max_fact, max_enc_len, max_dec_len, encoder, True, percent) class GPTDataset(KBDataset): def __init__(self, file_path, tokenizer, max_entity, max_fact=12, max_enc_len=128, max_dec_len=30, percent=1.0): super(GPTDataset, self).__init__(file_path, tokenizer, max_entity, max_fact, percent=percent) print("Total samples = {}".format(len(self.data))) self.pad_idx = tokenizer.pad_token_id self.max_enc_len = max_enc_len self.max_dec_len = max_dec_len def get_reference(self, idx): return [_.split(' ') for _ in self.data[idx]['text']] def get_entities(self, idx): return list(self.data[idx]['kbs'].keys()) def __getitem__(self, idx): entry = self.data[idx] sentence = random.choice(entry['text']) KBs = entry['kbs'] strings = '' for i, entity_label in enumerate(KBs): entity = KBs[entity_label] name = entity[0] for rel in entity[-1]: strings += ' {} {} {} . '.format(name, rel[0], rel[1]) KB_ids = self.tokenizer.encode(strings, add_special_tokens=False) if len(KB_ids) < self.max_enc_len: KB_ids = [self.pad_idx] * (self.max_enc_len - len(KB_ids)) + KB_ids else: KB_ids = KB_ids[:self.max_enc_len] inputs = torch.LongTensor(KB_ids) sentence = self.tokenizer.encode('[SOS] {} [EOS]'.format(sentence), add_special_tokens=False) if len(sentence) >= self.max_dec_len: output_ids = torch.LongTensor(sentence[:self.max_dec_len]) else: output_ids = torch.LongTensor(sentence[:self.max_dec_len] + [self.pad_idx] * (self.max_dec_len - len(sentence))) return inputs, output_ids[:-1], output_ids[1:]

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null

0

7

e5ad7824694b522e6da97d8fd7dfc74973ed460c

5,867

py

Python

code/utils/functions/hypothesis.py

berkeley-stat159/project-alpha

330d025c4eda94d390a82e86deecb791086c9dbf

[ "BSD-3-Clause" ]

4

2015-10-30T23:08:32.000Z

2021-06-24T03:44:02.000Z

code/utils/functions/hypothesis.py

berkeley-stat159/project-alpha

330d025c4eda94d390a82e86deecb791086c9dbf

[ "BSD-3-Clause" ]

179

2015-10-25T15:59:56.000Z

2017-10-31T02:40:24.000Z

code/utils/functions/hypothesis.py

berkeley-stat159/project-alpha

330d025c4eda94d390a82e86deecb791086c9dbf

[ "BSD-3-Clause" ]

11

2015-10-20T19:15:10.000Z

2019-02-23T19:33:03.000Z

#hypothesis testing function from __future__ import absolute_import, division, print_function from scipy.stats import t as t_dist from glm import glm, glm_multiple import numpy as np import numpy.linalg as npl def t_stat(data_4d, convolved, c = [0,1]): """ Return four values, the estimated beta, t-value, degrees of freedom, and p-value for the given t-value Parameters ---------- data_4d: numpy array of 4 dimensions The image data of one subject convolved: numpy array of 1 dimension The convolved time course c: numpy array of 1 dimension The contrast vector fo the weights of the beta vector. Default is [0,1] which corresponds to beta_1 Note that the fourth dimension of `data_4d` (time or the number of volumes) must be the same as the length of `convolved`. Returns ------- beta: estimated beta values t: numpy array of 1 dimension t-value of the betas df: int degrees of freedom p: numpy array of 1 dimension p-value corresponding to the t-value and degrees of freedom """ # Make sure y, X, c are all arrays beta, X = glm(data_4d, convolved) c = np.atleast_2d(c).T # As column vector # Calculate the parameters - b hat beta = np.reshape(beta, (-1, beta.shape[-1])).T fitted = X.dot(beta) # Residual error y = np.reshape(data_4d, (-1, data_4d.shape[-1])) errors = y.T - fitted # Residual sum of squares RSS = (errors**2).sum(axis=0) df = X.shape[0] - npl.matrix_rank(X) # Mean residual sum of squares MRSS = RSS / df # calculate bottom half of t statistic SE = np.sqrt(MRSS * c.T.dot(npl.pinv(X.T.dot(X)).dot(c))) zeros = np.where(SE==0) SE[zeros] = 1 t = c.T.dot(beta) / SE t[:,zeros] =0 # Get p value for t value using cumulative density dunction # (CDF) of t distribution ltp = t_dist.cdf(abs(t), df) # lower tail p p = 1 - ltp # upper tail p return beta, t, df, p def t_stat_mult_regression_single(data_4d, X, c = () ): """ Return four values, the estimated beta, t-value, degrees of freedom, and p-value for the given t-value Parameters ---------- data_4d: numpy array of 4 dimensions The image data of one subject X: numpy array the matrix to be put into the glm_mutiple function c: numpy array of 1 dimension The contrast vector fo the weights of the beta vector. If not entered, it will be set as np.array([0,1,...]) which corresponds to beta_1 Note that the fourth dimension of `data_4d` (time or the number of volumes) must be the same as the number of rows that X has. Returns ------- beta: estimated beta values t: numpy array of 1 dimension (spe) t-value of the betas df: int degrees of freedom p: numpy array of 1 dimension p-value corresponding to the t-value and degrees of freedom """ # Make sure y, X, c are all arrays beta, X = glm_multiple(data_4d, X) # dealing with no c put in if c is (): c = np.zeros(X.shape[-1]) c[1]=1 c = np.atleast_2d(c).T # As column vector # Calculate the parameters - b hat beta = np.reshape(beta, (-1, beta.shape[-1])).T fitted = X.dot(beta) # Residual error y = np.reshape(data_4d, (-1, data_4d.shape[-1])) errors = y.T - fitted # Residual sum of squares RSS = (errors**2).sum(axis=0) df = X.shape[0] - npl.matrix_rank(X) # Mean residual sum of squares MRSS = RSS / df # calculate bottom half of t statistic SE = np.sqrt(MRSS * c.T.dot(npl.pinv(X.T.dot(X)).dot(c))) zeros = np.where(SE==0) SE[zeros] = 1 t = c.T.dot(beta) / SE t[:,zeros] =0 # Get p value for t value using cumulative density dunction # (CDF) of t distribution ltp = t_dist.cdf(abs(t), df) # lower tail p p = 1 - ltp # upper tail p return beta.T, t, df, p def t_stat_mult_regression(data_4d, X): """ Return four values, the estimated beta, t-value, degrees of freedom, and p-value for the given t-value Parameters ---------- data_4d: numpy array of 4 dimensions The image data of one subject X: numpy array the matrix to be put into the glm_mutiple function Note that the fourth dimension of `data_4d` (time or the number of volumes) must be the same as the number of rows that X has. Returns ------- beta: estimated beta values t: numpy array of 2 dimensions t-value of the betas df: int degrees of freedom p: numpy array of 2 dimensions p-value corresponding to the t-value and degrees of freedom """ beta, X = glm_multiple(data_4d, X) # Calculate the parameters - b hat beta = np.reshape(beta, (-1, beta.shape[-1])).T fitted = X.dot(beta) # Residual error y = np.reshape(data_4d, (-1, data_4d.shape[-1])) errors = y.T - fitted # Residual sum of squares RSS = (errors**2).sum(axis=0) df = X.shape[0] - npl.matrix_rank(X) # Mean residual sum of squares MRSS = RSS / df # calculate bottom half of t statistic Cov_beta=npl.pinv(X.T.dot(X)) SE =np.zeros(beta.shape) for i in range(X.shape[-1]): c = np.zeros(X.shape[-1]) c[i]=1 c = np.atleast_2d(c).T SE[i,:]= np.sqrt(MRSS* c.T.dot(npl.pinv(X.T.dot(X)).dot(c))) zeros = np.where(SE==0) SE[zeros] = 1 t = beta / SE t[:,zeros] =0 # Get p value for t value using cumulative density dunction # (CDF) of t distribution ltp = t_dist.cdf(abs(t), df) # lower tail p p = 1 - ltp # upper tail p return beta.T, t, df, p

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008f5dace6c6c532cb842667e200fc48bee42f01

235

py

Python

pymusicdl_termux/modules/__init__.py

insaiyancvk/pymusicdl-termux

556f0bd1a99f6b219253ca905ba93a2e82fc0beb

[ "MIT" ]

1

2021-12-04T01:40:00.000Z

pymusicdl_termux/modules/__init__.py

insaiyancvk/pymusicdl-termux

556f0bd1a99f6b219253ca905ba93a2e82fc0beb

[ "MIT" ]

null

pymusicdl_termux/modules/__init__.py

insaiyancvk/pymusicdl-termux

556f0bd1a99f6b219253ca905ba93a2e82fc0beb

[ "MIT" ]

null

from pymusicdl_termux.modules.common import common from pymusicdl_termux.modules.spotify_downloader import spotify_downloader from pymusicdl_termux.modules.ytDownloader import yt_downloader from pymusicdl_termux.modules.picker import *

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970559de9265fd276822fbcf92f97e39fd6f9b3e

38,876

py

Python

code/models.py

modichirag/cosmic-rim

3b621e676fe9aaa6cdc84adc92bb9b9d8bbe5f25

[ "MIT" ]

null

code/models.py

modichirag/cosmic-rim

3b621e676fe9aaa6cdc84adc92bb9b9d8bbe5f25

[ "MIT" ]

null

code/models.py

modichirag/cosmic-rim

3b621e676fe9aaa6cdc84adc92bb9b9d8bbe5f25

[ "MIT" ]

null

###list of models: import numpy as np import os #os.environ["CUDA_VISIBLE_DEVICES"]="1" # import tensorflow as tf import tensorflow.contrib.slim as slim from tensorflow.contrib.slim import add_arg_scope from layers import wide_resnet, wide_resnet_snorm, valid_resnet from layers import wide_resnet_snorm from pixelcnn3d import * from tfops import specnormconv3d, dynamic_deconv3d import tensorflow_hub as hub import tensorflow_probability import tensorflow_probability as tfp tfd = tensorflow_probability.distributions tfd = tfp.distributions tfb = tfp.bijectors ### Model def _mdn_model_fn(features, labels, nchannels, n_y, n_mixture, dropout, optimizer, mode, pad, distribution='logistic'): # Check for training mode is_training = mode == tf.estimator.ModeKeys.TRAIN def _module_fn(): """ Function building the module """ feature_layer = tf.placeholder(tf.float32, shape=[None, None, None, None, nchannels], name='input') obs_layer = tf.placeholder(tf.float32, shape=[None, None, None, None, n_y], name='observations') # Builds the neural network if pad == 0: net = slim.conv3d(feature_layer, 16, 5, activation_fn=tf.nn.leaky_relu, padding='same') elif pad == 2: net = slim.conv3d(feature_layer, 16, 5, activation_fn=tf.nn.leaky_relu, padding='valid') if pad == 4: net = slim.conv3d(feature_layer, 16, 5, activation_fn=tf.nn.leaky_relu, padding='valid') net = slim.conv3d(net, 16, 5, activation_fn=tf.nn.leaky_relu, padding='valid') #net = wide_resnet(feature_layer, 8, activation_fn=tf.nn.leaky_relu, is_training=is_training) net = wide_resnet(net, 16, activation_fn=tf.nn.leaky_relu, keep_prob=dropout, is_training=is_training) net = wide_resnet(net, 32, activation_fn=tf.nn.leaky_relu, keep_prob=dropout, is_training=is_training) net = wide_resnet(net, 32, activation_fn=tf.nn.leaky_relu, keep_prob=dropout, is_training=is_training) if distribution == 'logistic': net = slim.conv3d(net, 32, 3, activation_fn=tf.nn.tanh) else: net = slim.conv3d(net, 32, 3, activation_fn=tf.nn.leaky_relu) # Define the probabilistic layer net = slim.conv3d(net, n_mixture*3*n_y, 1, activation_fn=None) cube_size = tf.shape(obs_layer)[1] net = tf.reshape(net, [-1, cube_size, cube_size, cube_size, n_y, n_mixture*3]) # net = tf.reshape(net, [None, None, None, None, n_y, n_mixture*3]) loc, unconstrained_scale, logits = tf.split(net, num_or_size_splits=3, axis=-1) scale = tf.nn.softplus(unconstrained_scale) # Form mixture of discretized logistic distributions. Note we shift the # logistic distribution by -0.5. This lets the quantization capture "rounding" # intervals, `(x-0.5, x+0.5]`, and not "ceiling" intervals, `(x-1, x]`. if distribution == 'logistic': discretized_logistic_dist = tfd.QuantizedDistribution( distribution=tfd.TransformedDistribution( distribution=tfd.Logistic(loc=loc, scale=scale), bijector=tfb.AffineScalar(shift=-0.5)), low=0., high=2.**3-1) mixture_dist = tfd.MixtureSameFamily( mixture_distribution=tfd.Categorical(logits=logits), components_distribution=discretized_logistic_dist) elif distribution == 'normal': mixture_dist = tfd.MixtureSameFamily( mixture_distribution=tfd.Categorical(logits=logits), components_distribution=tfd.Normal(loc=loc, scale=scale)) # Define a function for sampling, and a function for estimating the log likelihood #sample = tf.squeeze(mixture_dist.sample()) sample = mixture_dist.sample() loglik = mixture_dist.log_prob(obs_layer) hub.add_signature(inputs={'features':feature_layer, 'labels':obs_layer}, outputs={'sample':sample, 'loglikelihood':loglik, 'loc':loc, 'scale':scale, 'logits':logits}) # Create model and register module if necessary spec = hub.create_module_spec(_module_fn) module = hub.Module(spec, trainable=True) if isinstance(features,dict): predictions = module(features, as_dict=True) else: predictions = module({'features':features, 'labels':labels}, as_dict=True) if mode == tf.estimator.ModeKeys.PREDICT: hub.register_module_for_export(module, "likelihood") return tf.estimator.EstimatorSpec(mode=mode, predictions=predictions) loglik = predictions['loglikelihood'] # Compute and register loss function neg_log_likelihood = -tf.reduce_sum(loglik, axis=-1) neg_log_likelihood = tf.reduce_mean(neg_log_likelihood) tf.losses.add_loss(neg_log_likelihood) total_loss = tf.losses.get_total_loss(add_regularization_losses=True) train_op = None eval_metric_ops = None # Define optimizer if mode == tf.estimator.ModeKeys.TRAIN: update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS) with tf.control_dependencies(update_ops): global_step=tf.train.get_global_step() boundaries = list(np.array([1e4, 2e4, 4e4, 5e4, 6e4]).astype(int)) values = [1e-3, 5e-4, 1e-4, 5e-5, 1e-5, 1e-6] learning_rate = tf.train.piecewise_constant(global_step, boundaries, values) train_op = optimizer(learning_rate=learning_rate).minimize(loss=total_loss, global_step=global_step) tf.summary.scalar('rate', learning_rate) tf.summary.scalar('loss', neg_log_likelihood) elif mode == tf.estimator.ModeKeys.EVAL: eval_metric_ops = { "log_p": neg_log_likelihood} return tf.estimator.EstimatorSpec(mode=mode, predictions=predictions, loss=total_loss, train_op=train_op, eval_metric_ops=eval_metric_ops) def _mdn_mask_model_fn(features, labels, nchannels, n_y, n_mixture, dropout, optimizer, mode, pad, lr0=1e-3, distribution='logistic', masktype='constant'): # Check for training mode is_training = mode == tf.estimator.ModeKeys.TRAIN def _module_fn(): """ Function building the module """ feature_layer = tf.placeholder(tf.float32, shape=[None, None, None, None, nchannels], name='input') obs_layer = tf.placeholder(tf.float32, shape=[None, None, None, None, n_y], name='observations') mask_layer = tf.clip_by_value(obs_layer, 0, 0.001)*1000 # # Builds the neural network if pad == 0: net = slim.conv3d(feature_layer, 16, 5, activation_fn=tf.nn.leaky_relu, padding='same') elif pad == 2: net = slim.conv3d(feature_layer, 16, 5, activation_fn=tf.nn.leaky_relu, padding='valid') #net = wide_resnet(feature_layer, 8, activation_fn=tf.nn.leaky_relu, is_training=is_training) net = wide_resnet(net, 16, activation_fn=tf.nn.leaky_relu, keep_prob=dropout, is_training=is_training) net = wide_resnet(net, 32, activation_fn=tf.nn.leaky_relu, keep_prob=dropout, is_training=is_training) net = wide_resnet(net, 32, activation_fn=tf.nn.leaky_relu, keep_prob=dropout, is_training=is_training) if distribution == 'logistic': net = slim.conv3d(net, 32, 3, activation_fn=tf.nn.tanh) else: net = slim.conv3d(net, 32, 3, activation_fn=tf.nn.leaky_relu) #Predicted mask masknet = slim.conv3d(net, 8, 1, activation_fn=tf.nn.leaky_relu) out_mask = slim.conv3d(masknet, 1, 1, activation_fn=None) pred_mask = tf.nn.sigmoid(out_mask) # Define the probabilistic layer likenet = slim.conv3d(net, 64, 1, activation_fn=tf.nn.leaky_relu) net = slim.conv3d(likenet, n_mixture*3*n_y, 1, activation_fn=None) cube_size = tf.shape(obs_layer)[1] net = tf.reshape(net, [-1, cube_size, cube_size, cube_size, n_y, n_mixture*3]) # net = tf.reshape(net, [None, None, None, None, n_y, n_mixture*3]) loc, unconstrained_scale, logits = tf.split(net, num_or_size_splits=3, axis=-1) scale = tf.nn.softplus(unconstrained_scale) + 1e-3 # Form mixture of discretized logistic distributions. Note we shift the # logistic distribution by -0.5. This lets the quantization capture "rounding" # intervals, `(x-0.5, x+0.5]`, and not "ceiling" intervals, `(x-1, x]`. if distribution == 'logistic': discretized_logistic_dist = tfd.QuantizedDistribution( distribution=tfd.TransformedDistribution( distribution=tfd.Logistic(loc=loc, scale=scale), bijector=tfb.AffineScalar(shift=-0.5)), low=0., high=2.**3-1) mixture_dist = tfd.MixtureSameFamily( mixture_distribution=tfd.Categorical(logits=logits), components_distribution=discretized_logistic_dist) elif distribution == 'normal': mixture_dist = tfd.MixtureSameFamily( mixture_distribution=tfd.Categorical(logits=logits), components_distribution=tfd.Normal(loc=loc, scale=scale)) # Define a function for sampling, and a function for estimating the log likelihood #sample = tf.squeeze(mixture_dist.sample()) rawsample = mixture_dist.sample() sample = rawsample*pred_mask rawloglik = mixture_dist.log_prob(obs_layer) print(rawloglik) print(out_mask) print(mask_layer) #loss1 = - rawloglik* out_mask #This can be constant mask as well if we use mask_layer instead if masktype == 'constant': loss1 = - rawloglik* mask_layer elif masktype == 'vary': loss1 = - rawloglik* pred_mask loss2 = tf.nn.sigmoid_cross_entropy_with_logits(logits=out_mask, labels=mask_layer) loglik = - (loss1 + loss2) hub.add_signature(inputs={'features':feature_layer, 'labels':obs_layer}, outputs={'sample':sample, 'loglikelihood':loglik, 'loc':loc, 'scale':scale, 'logits':logits, 'rawsample':rawsample, 'pred_mask':pred_mask, 'out_mask':out_mask, 'rawloglik':rawloglik, 'loss1':loss1, 'loss2':loss2}) # Create model and register module if necessary spec = hub.create_module_spec(_module_fn) module = hub.Module(spec, trainable=True) if isinstance(features,dict): predictions = module(features, as_dict=True) else: predictions = module({'features':features, 'labels':labels}, as_dict=True) if mode == tf.estimator.ModeKeys.PREDICT: hub.register_module_for_export(module, "likelihood") return tf.estimator.EstimatorSpec(mode=mode, predictions=predictions) rawloglik = tf.reduce_mean(predictions['rawloglik']) loss1 = tf.reduce_mean(predictions['loss1']) loss2 = tf.reduce_mean(predictions['loss2']) # Compute and register loss function loglik = predictions['loglikelihood'] # Compute and register loss function neg_log_likelihood = -tf.reduce_sum(loglik, axis=-1) neg_log_likelihood = tf.reduce_mean(neg_log_likelihood) tf.losses.add_loss(neg_log_likelihood) total_loss = tf.losses.get_total_loss(add_regularization_losses=True) #loss = tf.reduce_mean(loss) #tf.losses.add_loss(loss) #total_loss = tf.losses.get_total_loss(add_regularization_losses=True) train_op = None eval_metric_ops = None # Define optimizer if mode == tf.estimator.ModeKeys.TRAIN: update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS) with tf.control_dependencies(update_ops): global_step=tf.train.get_global_step() boundaries = list(np.array([1e4, 2e4, 4e4, 5e4, 6e4]).astype(int)) #values = [1e-3, 5e-4, 1e-4, 5e-5, 1e-5, 1e-6] values = [lr0, lr0/2, lr0/10, lr0/20, lr0/100, lr0/1000] learning_rate = tf.train.piecewise_constant(global_step, boundaries, values) train_op = optimizer(learning_rate=learning_rate).minimize(loss=total_loss, global_step=global_step) logging_hook = tf.train.LoggingTensorHook({"iter":global_step, "negloglik" : neg_log_likelihood, "rawloglik" : rawloglik, "loss1" : loss1, "loss2" : loss2 }, every_n_iter=50) tf.summary.scalar('rate', learning_rate) tf.summary.scalar('loglik', neg_log_likelihood) elif mode == tf.estimator.ModeKeys.EVAL: eval_metric_ops = { "log_p": neg_log_likelihood} return tf.estimator.EstimatorSpec(mode=mode, predictions=predictions, loss=total_loss, train_op=train_op, eval_metric_ops=eval_metric_ops, training_hooks = [logging_hook]) def _mdn_pixmodel_fn(features, labels, nchannels, n_y, n_mixture, dropout, optimizer, mode, pad, cfilter_size=None, f_map=8, distribution='normal'): # Check for training mode is_training = mode == tf.estimator.ModeKeys.TRAIN def _module_fn(): """ Function building the module """ feature_layer = tf.placeholder(tf.float32, shape=[None, None, None, None, nchannels], name='input') obs_layer = tf.placeholder(tf.float32, shape=[None, None, None, None, n_y], name='observations') conditional_im = wide_resnet(feature_layer, 16, activation_fn=tf.nn.leaky_relu, keep_prob=dropout, is_training=is_training) conditional_im = wide_resnet(conditional_im, 16, activation_fn=tf.nn.leaky_relu, keep_prob=dropout, is_training=is_training) conditional_im = wide_resnet(conditional_im, 1, activation_fn=tf.nn.leaky_relu, keep_prob=dropout, is_training=is_training) conditional_im = tf.concat((feature_layer, conditional_im), -1) # Builds the neural network ul = [[obs_layer]] for i in range(10): #ul.append(PixelCNN3Dlayer(i, ul[i], f_map=f_map, full_horizontal=True, h=None, # conditional_im=conditional_im, cfilter_size=cfilter_size, gatedact='sigmoid')) ul.append(PixelCNN3Dlayer(i, ul[i], f_map=f_map, full_horizontal=True, h=None, #conditional_im = conditional_im, convconditional=conditional_im, cfilter_size=cfilter_size, gatedact='sigmoid')) h_stack_in = ul[-1][-1] with tf.variable_scope("fc_1"): fc1 = GatedCNN([1, 1, 1, 1], h_stack_in, orientation=None, gated=False, mask='b').output() with tf.variable_scope("fc_2"): fc2 = GatedCNN([1, 1, 1, n_mixture*3*n_y], fc1, orientation=None, gated=False, mask='b', activation=False).output() cube_size = tf.shape(obs_layer)[1] net = tf.reshape(fc2, [-1, cube_size, cube_size, cube_size, n_y, n_mixture*3]) loc, unconstrained_scale, logits = tf.split(net, num_or_size_splits=3, axis=-1) scale = tf.nn.softplus(unconstrained_scale) + 1e-3 # Form mixture of discretized logistic distributions. Note we shift the # logistic distribution by -0.5. This lets the quantization capture "rounding" # intervals, `(x-0.5, x+0.5]`, and not "ceiling" intervals, `(x-1, x]`. if distribution == 'logistic': discretized_logistic_dist = tfd.QuantizedDistribution( distribution=tfd.TransformedDistribution( distribution=tfd.Logistic(loc=loc, scale=scale), bijector=tfb.AffineScalar(shift=-0.5)), low=0., high=2.**3-1) mixture_dist = tfd.MixtureSameFamily( mixture_distribution=tfd.Categorical(logits=logits), components_distribution=discretized_logistic_dist) elif distribution == 'normal': mixture_dist = tfd.MixtureSameFamily( mixture_distribution=tfd.Categorical(logits=logits), components_distribution=tfd.Normal(loc=loc, scale=scale)) # Define a function for sampling, and a function for estimating the log likelihood #sample = tf.squeeze(mixture_dist.sample()) sample = mixture_dist.sample() loglik = mixture_dist.log_prob(obs_layer) hub.add_signature(inputs={'features':feature_layer, 'labels':obs_layer}, outputs={'sample':sample, 'loglikelihood':loglik, 'loc':loc, 'scale':scale, 'logits':logits}) # Create model and register module if necessary spec = hub.create_module_spec(_module_fn) module = hub.Module(spec, trainable=True) if isinstance(features,dict): predictions = module(features, as_dict=True) else: predictions = module({'features':features, 'labels':labels}, as_dict=True) if mode == tf.estimator.ModeKeys.PREDICT: hub.register_module_for_export(module, "likelihood") return tf.estimator.EstimatorSpec(mode=mode, predictions=predictions) loglik = predictions['loglikelihood'] # Compute and register loss function neg_log_likelihood = -tf.reduce_sum(loglik, axis=-1) neg_log_likelihood = tf.reduce_mean(neg_log_likelihood) tf.losses.add_loss(neg_log_likelihood) total_loss = tf.losses.get_total_loss(add_regularization_losses=True) train_op = None eval_metric_ops = None # Define optimizer if mode == tf.estimator.ModeKeys.TRAIN: update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS) with tf.control_dependencies(update_ops): global_step=tf.train.get_global_step() boundaries = list(np.array([2e3, 5e3, 1e4, 2e4, 3e4]).astype(int)) values = [1e-3, 5e-4, 1e-4, 5e-5, 1e-5, 1e-6] learning_rate = tf.train.piecewise_constant(global_step, boundaries, values) train_op = optimizer(learning_rate=learning_rate).minimize(loss=total_loss, global_step=global_step) tf.summary.scalar('rate', learning_rate) tf.summary.scalar('loss', neg_log_likelihood) elif mode == tf.estimator.ModeKeys.EVAL: eval_metric_ops = { "log_p": neg_log_likelihood} return tf.estimator.EstimatorSpec(mode=mode, predictions=predictions, loss=total_loss, train_op=train_op, eval_metric_ops=eval_metric_ops) def _mdn_inv_model_fn(features, labels, nchannels, n_y, n_mixture, dropout, optimizer, mode, logoffset=1e-3, log=True): '''Train inverse model i.e. go from the halo field to matter overdensity ''' # Check for training mode is_training = mode == tf.estimator.ModeKeys.TRAIN def _module_fn(): """ Function building the module """ feature_layer = tf.placeholder(tf.float32, shape=[None, None, None, None, nchannels], name='input') obs_layer = tf.placeholder(tf.float32, shape=[None, None, None, None, n_y], name='observations') # Builds the neural network net = slim.conv3d(feature_layer, 16, 5, activation_fn=tf.nn.leaky_relu, padding='same') #net = wide_resnet(feature_layer, 8, activation_fn=tf.nn.leaky_relu, is_training=is_training) net = wide_resnet(net, 16, activation_fn=tf.nn.leaky_relu, keep_prob=dropout, is_training=is_training) net = wide_resnet(net, 32, activation_fn=tf.nn.leaky_relu, keep_prob=dropout, is_training=is_training) net = wide_resnet(net, 32, activation_fn=tf.nn.leaky_relu, keep_prob=dropout, is_training=is_training) net = slim.conv3d(net, 32, 3, activation_fn=tf.nn.leaky_relu) # Define the probabilistic layer net = slim.conv3d(net, 3*n_mixture*nchannels, 1, activation_fn=None) cube_size = tf.shape(obs_layer)[1] net = tf.reshape(net, [-1, cube_size, cube_size, cube_size, nchannels, n_mixture*3]) logits, loc, unconstrained_scale = tf.split(net, num_or_size_splits=3, axis=-1) print('\nloc :\n', loc) scale = tf.nn.softplus(unconstrained_scale[...]) + 1e-3 distribution = tfd.MixtureSameFamily( mixture_distribution=tfd.Categorical(logits=logits[...]), #components_distribution=tfd.MultivariateNormalDiag(loc=loc[...,0], scale_diag=scale)) components_distribution=tfd.Normal(loc=loc[...], scale=scale)) print('\ngmm\n', distribution) # Define a function for sampling, and a function for estimating the log likelihood if log : print('Logged it') sample = tf.exp(distribution.sample()) - logoffset print('\ninf dist sample :\n', distribution.sample()) logfeature = tf.log(tf.add(logoffset, obs_layer), 'logfeature') print('\nlogfeature :\n', logfeature) prob = distribution.prob(logfeature[...]) loglik = distribution.log_prob(logfeature[...]) else: print('UnLogged it') sample = distribution.sample() print('\ninf dist sample :\n', distribution.sample()) loglik = distribution.log_prob(obs_layer[...]) hub.add_signature(inputs={'features':feature_layer, 'labels':obs_layer}, outputs={'sample':sample, 'loglikelihood':loglik, 'sigma':scale, 'mean':loc, 'logits':logits}) # Create model and register module if necessary spec = hub.create_module_spec(_module_fn) module = hub.Module(spec, trainable=True) if isinstance(features,dict): predictions = module(features, as_dict=True) features_ = features['features'] else: predictions = module({'features':features, 'labels':labels}, as_dict=True) features_ = features samples = predictions['sample'] print('\nsamples :\n', samples) if mode == tf.estimator.ModeKeys.PREDICT: hub.register_module_for_export(module, "likelihood") return tf.estimator.EstimatorSpec(mode=mode, predictions=predictions) loglik = predictions['loglikelihood'] print('\nloglik :\n', loglik) ####Compute and register loss function neg_log_likelihood = -tf.reduce_sum(loglik, axis=-1) neg_log_likelihood = tf.reduce_mean(neg_log_likelihood) tf.losses.add_loss(neg_log_likelihood) total_loss = tf.losses.get_total_loss(add_regularization_losses=True) train_op = None eval_metric_ops = None # Define optimizer if mode == tf.estimator.ModeKeys.TRAIN: update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS) with tf.control_dependencies(update_ops): global_step=tf.train.get_global_step() boundaries = list(np.array([1e4, 2e4, 4e4, 5e4]).astype(int)) values = [1e-3, 5e-4, 1e-4, 5e-5, 1e-5] learning_rate = tf.train.piecewise_constant(global_step, boundaries, values) train_op = optimizer(learning_rate=learning_rate).minimize(loss=total_loss, global_step=global_step) tf.summary.scalar('rate', learning_rate) tf.summary.scalar('total_loss', total_loss) tf.summary.scalar('loss', neg_log_likelihood) elif mode == tf.estimator.ModeKeys.EVAL: eval_metric_ops = { "log_p": neg_log_likelihood} return tf.estimator.EstimatorSpec(mode=mode, predictions=predictions, loss=total_loss, train_op=train_op, eval_metric_ops=eval_metric_ops) def _mdn_nozero_model_fn(features, labels, nchannels, n_y, n_mixture, dropout, optimizer, mode, pad, lr0=1e-3, dsitribution='logistic'): # Check for training mode is_training = mode == tf.estimator.ModeKeys.TRAIN def _module_fn(): """ Function building the module """ feature_layer = tf.placeholder(tf.float32, shape=[None, None, None, None, nchannels], name='input') obs_layer = tf.placeholder(tf.float32, shape=[None, None, None, None, n_y], name='observations') mask_layer = tf.clip_by_value(obs_layer, 0, 1) # # Builds the neural network net = slim.conv3d(feature_layer, 16, 3, activation_fn=tf.nn.leaky_relu, padding='valid') subnet = tf.identity(net[:, 3:-3, 3:-3, 3:-3, :]) net = valid_resnet(net, 16, activation_fn=tf.nn.leaky_relu, keep_prob=dropout, is_training=is_training) net = slim.conv3d(net, 16, 3, activation_fn=tf.nn.leaky_relu, padding='valid') net = net+subnet # Define the probabilistic layer likenet = slim.conv3d(net, 64, 1, activation_fn=tf.nn.leaky_relu) net = slim.conv3d(likenet, n_mixture*3*n_y, 1, activation_fn=None) # Define the probabilistic layer cube_size = tf.shape(obs_layer)[1] net = tf.reshape(net, [-1, cube_size, cube_size, cube_size, n_y, n_mixture*3]) # net = tf.reshape(net, [None, None, None, None, n_y, n_mixture*3]) loc, unconstrained_scale, logits = tf.split(net, num_or_size_splits=3, axis=-1) scale = tf.nn.softplus(unconstrained_scale) + 1e-3 # Form mixture of discretized logistic distributions. Note we shift the # logistic distribution by -0.5. This lets the quantization capture "rounding" # intervals, `(x-0.5, x+0.5]`, and not "ceiling" intervals, `(x-1, x]`. if distribution == 'logistic': discretized_logistic_dist = tfd.QuantizedDistribution( distribution=tfd.TransformedDistribution( distribution=tfd.Logistic(loc=loc, scale=scale), bijector=tfb.AffineScalar(shift=-0.5)), low=0., high=2.**3-1) mixture_dist = tfd.MixtureSameFamily( mixture_distribution=tfd.Categorical(logits=logits), components_distribution=discretized_logistic_dist) elif distribution == 'normal': mixture_dist = tfd.MixtureSameFamily( mixture_distribution=tfd.Categorical(logits=logits), components_distribution=tfd.Normal(loc=loc, scale=scale)) # Define a function for sampling, and a function for estimating the log likelihood #sample = tf.squeeze(mixture_dist.sample()) sample = mixture_dist.sample() loglik = mixture_dist.log_prob(obs_layer) hub.add_signature(inputs={'features':feature_layer, 'labels':obs_layer}, outputs={'sample':sample, 'loglikelihood':loglik, 'loc':loc, 'scale':scale, 'logits':logits}) # Create model and register module if necessary spec = hub.create_module_spec(_module_fn) module = hub.Module(spec, trainable=True) if isinstance(features,dict): predictions = module(features, as_dict=True) else: predictions = module({'features':features, 'labels':labels}, as_dict=True) if mode == tf.estimator.ModeKeys.PREDICT: hub.register_module_for_export(module, "likelihood") return tf.estimator.EstimatorSpec(mode=mode, predictions=predictions) loss = -predictions['loglikelihood'] # Compute and register loss function loss = tf.reduce_mean(loss) tf.losses.add_loss(loss) total_loss = tf.losses.get_total_loss(add_regularization_losses=True) train_op = None eval_metric_ops = None # Define optimizer if mode == tf.estimator.ModeKeys.TRAIN: update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS) with tf.control_dependencies(update_ops): global_step=tf.train.get_global_step() boundaries = list(np.array([1e4, 2e4, 4e4, 5e4, 6e4]).astype(int)) values = [lr0, lr0/2, lr0/10, lr0/20, lr0/100, lr0/1000] #values = [1e-3, 5e-4, 1e-4, 5e-5, 1e-5, 1e-6] learning_rate = tf.train.piecewise_constant(global_step, boundaries, values) train_op = optimizer(learning_rate=learning_rate).minimize(loss=total_loss, global_step=global_step) tf.summary.scalar('rate', learning_rate) logging_hook = tf.train.LoggingTensorHook({"iter":global_step, "loss" : loss}, every_n_iter=50) tf.summary.scalar('loss', loss) elif mode == tf.estimator.ModeKeys.EVAL: eval_metric_ops = { "log_p": neg_log_likelihood} return tf.estimator.EstimatorSpec(mode=mode, predictions=predictions, loss=total_loss, train_op=train_op, eval_metric_ops=eval_metric_ops, training_hooks = [logging_hook]) ### Model def _mdn_unetmodel_fn(features, labels, nchannels, n_y, n_mixture, dropout, optimizer, mode, pad, fsize=8, nsub=2, distribution='logistic'): # Check for training mode is_training = mode == tf.estimator.ModeKeys.TRAIN def _module_fn(): """ Function building the module """ feature_layer = tf.placeholder(tf.float32, shape=[None, None, None, None, nchannels], name='input') obs_layer = tf.placeholder(tf.float32, shape=[None, None, None, None, n_y], name='observations') # Builds the neural network if pad == 0: d00 = slim.conv3d(feature_layer, fsize, 5, activation_fn=tf.nn.leaky_relu, padding='same') elif pad == 2: d00 = slim.conv3d(feature_layer, fsize, 5, activation_fn=tf.nn.leaky_relu, padding='valid') if pad == 4: d00 = slim.conv3d(feature_layer, fsize, 5, activation_fn=tf.nn.leaky_relu, padding='valid') d00 = slim.conv3d(d00, fsize*2, 5, activation_fn=tf.nn.leaky_relu, padding='valid') ## #downsample ## dd = [[d00]] ## cfsize = fsize ## for i in range(nsub): ## d0 = dd[-1][-1] ## d1 = wide_resnet(d0, cfsize, activation_fn=tf.nn.leaky_relu) ## d2 = wide_resnet(d1, cfsize, activation_fn=tf.nn.leaky_relu) ## dsub = slim.max_pool3d(d2, kernel_size=3, stride=2, padding='SAME') ## dd.append([d1, d2, dsub]) ## cfsize *= 2 ## ## #lower layer ## d0 = dd[-1][-1] ## d1 = wide_resnet(d0, cfsize, activation_fn=tf.nn.leaky_relu) ## d2 = wide_resnet(d1, cfsize, activation_fn=tf.nn.leaky_relu) ## ## up = [[d1, d2]] ## #upsample ## for i in range(nsub): ## cfsize = cfsize // 2 ## usub = up[-1][-1] ## dup = dd.pop() ## u0 = dynamic_deconv3d('up%d'%i, usub, shape=[3,3,3,cfsize], activation=tf.nn.leaky_relu) ## #u0 = slim.conv3d_transpose(usub, fsize, kernel_size=3, stride=2) ## uc = tf.concat([u0, dup[1]], axis=-1) ## u1 = wide_resnet(uc, cfsize, activation_fn=tf.nn.leaky_relu) ## u2 = wide_resnet(u1, cfsize, activation_fn=tf.nn.leaky_relu) ## up.append([u0, u1, u1c, u2]) ## ## u0 = up[-1][-1] ## net = slim.conv3d(u0, 1, 3, activation_fn=tf.nn.tanh) ## #downsample #restructure code while doubling filter size cfsize = fsize d1 = wide_resnet(d00, cfsize, activation_fn=tf.nn.leaky_relu) d2 = wide_resnet(d1, cfsize, activation_fn=tf.nn.leaky_relu) dd = [d2] for i in range(nsub): cfsize *= 2 print(i, cfsize) dsub = slim.max_pool3d(dd[-1], kernel_size=3, stride=2, padding='SAME') d1 = wide_resnet(dsub, cfsize, activation_fn=tf.nn.leaky_relu) d2 = wide_resnet(d1, cfsize, activation_fn=tf.nn.leaky_relu) dd.append(d2) print(len(dd)) #upsample usub = dd.pop() for i in range(nsub): u0 = dynamic_deconv3d('up%d'%i, usub, shape=[3,3,3,cfsize], activation=tf.identity) cfsize = cfsize // 2 print(i, cfsize) u0 = slim.conv3d(u0, cfsize, 1, activation_fn=tf.identity, padding='same') #u0 = slim.conv3d_transpose(usub, fsize, kernel_size=3, stride=2) uc = tf.concat([u0, dd.pop()], axis=-1) u1 = wide_resnet(uc, cfsize, activation_fn=tf.nn.leaky_relu) u2 = wide_resnet(u1, cfsize, activation_fn=tf.nn.leaky_relu) usub = u2 print(len(dd)) net = slim.conv3d(usub, 1, 3, activation_fn=tf.nn.tanh) # Define the probabilistic layer net = slim.conv3d(net, n_mixture*3*n_y, 1, activation_fn=None) cube_size = tf.shape(obs_layer)[1] net = tf.reshape(net, [-1, cube_size, cube_size, cube_size, n_y, n_mixture*3]) # net = tf.reshape(net, [None, None, None, None, n_y, n_mixture*3]) loc, unconstrained_scale, logits = tf.split(net, num_or_size_splits=3, axis=-1) scale = tf.nn.softplus(unconstrained_scale) + 1e-3 # Form mixture of discretized logistic distributions. Note we shift the # logistic distribution by -0.5. This lets the quantization capture "rounding" # intervals, `(x-0.5, x+0.5]`, and not "ceiling" intervals, `(x-1, x]`. if distribution == 'logistic': discretized_logistic_dist = tfd.QuantizedDistribution( distribution=tfd.TransformedDistribution( distribution=tfd.Logistic(loc=loc, scale=scale), bijector=tfb.AffineScalar(shift=-0.5)), low=0., high=2.**3-1) mixture_dist = tfd.MixtureSameFamily( mixture_distribution=tfd.Categorical(logits=logits), components_distribution=discretized_logistic_dist) elif distribution == 'normal': mixture_dist = tfd.MixtureSameFamily( mixture_distribution=tfd.Categorical(logits=logits), components_distribution=tfd.Normal(loc=loc, scale=scale)) # Define a function for sampling, and a function for estimating the log likelihood #sample = tf.squeeze(mixture_dist.sample()) sample = mixture_dist.sample() loglik = mixture_dist.log_prob(obs_layer) hub.add_signature(inputs={'features':feature_layer, 'labels':obs_layer}, outputs={'sample':sample, 'loglikelihood':loglik, 'loc':loc, 'scale':scale, 'logits':logits}) # Create model and register module if necessary spec = hub.create_module_spec(_module_fn) module = hub.Module(spec, trainable=True) if isinstance(features,dict): predictions = module(features, as_dict=True) else: predictions = module({'features':features, 'labels':labels}, as_dict=True) if mode == tf.estimator.ModeKeys.PREDICT: hub.register_module_for_export(module, "likelihood") return tf.estimator.EstimatorSpec(mode=mode, predictions=predictions) loglik = predictions['loglikelihood'] # Compute and register loss function neg_log_likelihood = -tf.reduce_sum(loglik, axis=-1) neg_log_likelihood = tf.reduce_mean(neg_log_likelihood) tf.losses.add_loss(neg_log_likelihood) total_loss = tf.losses.get_total_loss(add_regularization_losses=True) train_op = None eval_metric_ops = None # Define optimizer if mode == tf.estimator.ModeKeys.TRAIN: update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS) with tf.control_dependencies(update_ops): global_step=tf.train.get_global_step() boundaries = list(np.array([1e4, 2e4, 4e4, 5e4, 6e4]).astype(int)) values = [1e-3, 5e-4, 1e-4, 5e-5, 1e-5, 1e-6] learning_rate = tf.train.piecewise_constant(global_step, boundaries, values) train_op = optimizer(learning_rate=learning_rate).minimize(loss=total_loss, global_step=global_step) tf.summary.scalar('rate', learning_rate) tf.summary.scalar('loss', neg_log_likelihood) elif mode == tf.estimator.ModeKeys.EVAL: eval_metric_ops = { "log_p": neg_log_likelihood} return tf.estimator.EstimatorSpec(mode=mode, predictions=predictions, loss=total_loss, train_op=train_op, eval_metric_ops=eval_metric_ops)

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97093e1c15216677839306e4f7a46a60c1560a39

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Python

prysm/polynomials/hermite.py

Lixiaoxin-HIT/prysm

42d95bd0352778d73555fc18f9b927706f841ae1

[ "MIT" ]

1

2022-03-29T02:10:14.000Z

prysm/polynomials/hermite.py

Lixiaoxin-HIT/prysm

42d95bd0352778d73555fc18f9b927706f841ae1

[ "MIT" ]

null

prysm/polynomials/hermite.py

Lixiaoxin-HIT/prysm

42d95bd0352778d73555fc18f9b927706f841ae1

[ "MIT" ]

null

"""Hermite Polynomials.""" from prysm.mathops import np def hermite_He(n, x): """Probabilist's Hermite polynomial He of order n at points x. Parameters ---------- n : int polynomial order x : numpy.ndarray point(s) to evaluate at. Scalars and arrays both work. Returns ------- numpy.ndarray He_n(x) """ # note: A, B, C = 1, 0, n # avoid a "recurrence_abc_He" function call on each loop to do these inline, # and avoiding adding zero to an array (waste work) if n == 0: return np.ones_like(x) if n == 1: return x # if n not in (0,1), then n >= 2 # standard three-term recurrence relation # Pn+1 = (An x + Bn) Pn - Cn Pn-1 # notation here does Pn = (An-1 ...) # Pnm2 = Pn-2 # Pnm1 = Pn-1 # i.e., starting from P2 = (A1 x + B1) P1 - C1 P0 # # given that, we optimize P2 significantly by seeing that: # P0 = 1 # A, B, C = 1, 0, n # P2 = x P1 - 1 # -> P2 == x^2 - 1 P2 = x * x - 1 if n == 2: return P2 Pnm2 = x Pnm1 = P2 for nn in range(3, n+1): # it would look like this without optimization # Pn = (A * x + B) * Pnm1 - C * Pnm2 # A, B, C = 1, 0, n Pn = x * Pnm1 - (nn-1) * Pnm2 Pnm2, Pnm1 = Pnm1, Pn return Pn def hermite_He_sequence(ns, x): """Probabilist's Hermite polynomials He of orders ns at points x. Parameters ---------- ns : iterable of int rising polynomial orders, assumed to be sorted x : numpy.ndarray point(s) to evaluate at. Scalars and arrays both work. Returns ------- generator of numpy.ndarray equivalent to array of shape (len(ns), len(x)) """ # this function includes all the optimizations in the hermite_He func, # but excludes the note comments. Read that first if you're looking for # clarity # see also: prysm.polynomials.jacobi.jacobi_sequence for the meta machinery # in use here ns = list(ns) min_i = 0 if ns[min_i] == 0: yield np.ones_like(x) min_i += 1 if min_i == len(ns): return if ns[min_i] == 1: yield x min_i += 1 if min_i == len(ns): return P1 = x P2 = x * x - 1 if ns[min_i] == 2: yield P2 min_i += 1 if min_i == len(ns): return Pnm2, Pnm1 = P1, P2 max_n = ns[-1] for nn in range(3, max_n+1): Pn = x * Pnm1 - (nn-1) * Pnm2 Pnm2, Pnm1 = Pnm1, Pn if ns[min_i] == nn: yield Pn min_i += 1 def hermite_He_der(n, x): """First derivative of He_n with respect to x, at points x. Parameters ---------- n : int polynomial order x : numpy.ndarray point(s) to evaluate at. Scalars and arrays both work. Returns ------- numpy.ndarray d/dx[He_n(x)] """ if n == 0: return np.zeros_like(x) return n * hermite_He(n-1, x) def hermite_He_der_sequence(ns, x): """First derivative of He_[ns] with respect to x, at points x. Parameters ---------- ns : iterable of int rising polynomial orders, assumed to be sorted x : numpy.ndarray point(s) to evaluate at. Scalars and arrays both work. Returns ------- generator of numpy.ndarray equivalent to array of shape (len(ns), len(x)) """ # this function includes all the optimizations in the hermite_He func, # but excludes the note comments. Read that first if you're looking for # clarity # see also: prysm.polynomials.jacobi.jacobi_sequence for the meta machinery # in use here ns = list(ns) min_i = 0 if ns[min_i] == 0: yield np.zeros_like(x) min_i += 1 if min_i == len(ns): return if ns[min_i] == 1: yield np.ones_like(x) min_i += 1 if min_i == len(ns): return P1 = x P2 = x * x - 1 if ns[min_i] == 2: yield 2 * x min_i += 1 if min_i == len(ns): return Pnm2, Pnm1 = P1, P2 max_n = ns[-1] for nn in range(3, max_n+1): Pn = x * Pnm1 - (nn-1) * Pnm2 if ns[min_i] == nn: yield nn * Pnm1 min_i += 1 Pnm2, Pnm1 = Pnm1, Pn def hermite_H(n, x): """Physicist's Hermite polynomial H of order n at points x. Parameters ---------- n : int polynomial order x : numpy.ndarray point(s) to evaluate at. Scalars and arrays both work. Returns ------- numpy.ndarray H_n(x) """ if n == 0: return np.ones_like(x) if n == 1: return 2 * x # if n not in (0,1), then n >= 2 # standard three-term recurrence relation # Pn+1 = (An x + Bn) Pn - Cn Pn-1 # notation here does Pn = (An-1 ...) # Pnm2 = Pn-2 # Pnm1 = Pn-1 # i.e., starting from P2 = (A1 x + B1) P1 - C1 P0 # # given that, we optimize P2 significantly by seeing that: # P0 = 1 # A, B, C = 2, 0, 2n # P2 = x P1 - 1 # -> P2 == 4^2 - 2 # another optimization: Ax == 2x == P1, so we compute that just once x2 = 2 * x P2 = 4 * (x * x) - 2 if n == 2: return P2 Pnm2 = x2 Pnm1 = P2 for nn in range(3, n+1): # it would look like this without optimization # Pn = (A * x + B) * Pnm1 - C * Pnm2 # A, B, C = 2, 0, 2n Pn = x2 * Pnm1 - (2 * (nn-1)) * Pnm2 Pnm2, Pnm1 = Pnm1, Pn return Pn def hermite_H_sequence(ns, x): """Physicist's Hermite polynomials H of orders ns at points x. Parameters ---------- ns : iterable of int rising polynomial orders, assumed to be sorted x : numpy.ndarray point(s) to evaluate at. Scalars and arrays both work. Returns ------- generator of numpy.ndarray equivalent to array of shape (len(ns), len(x)) """ # this function includes all the optimizations in the hermite_He func, # but excludes the note comments. Read that first if you're looking for # clarity # see also: prysm.polynomials.jacobi.jacobi_sequence for the meta machinery # in use here ns = list(ns) min_i = 0 if ns[min_i] == 0: yield np.ones_like(x) min_i += 1 if min_i == len(ns): return x2 = 2 * x if ns[min_i] == 1: yield x2 min_i += 1 if min_i == len(ns): return P1 = x2 P2 = 4 * (x * x) - 2 if ns[min_i] == 2: yield P2 min_i += 1 if min_i == len(ns): return Pnm2, Pnm1 = P1, P2 max_n = ns[-1] for nn in range(3, max_n+1): Pn = x2 * Pnm1 - (2*(nn-1)) * Pnm2 Pnm2, Pnm1 = Pnm1, Pn if ns[min_i] == nn: yield Pn min_i += 1 def hermite_H_der(n, x): """First derivative of H_n with respect to x, at points x. Parameters ---------- n : int polynomial order x : numpy.ndarray point(s) to evaluate at. Scalars and arrays both work. Returns ------- numpy.ndarray d/dx[H_n(x)] """ if n == 0: return np.zeros_like(x) return 2 * n * hermite_H(n-1, x) def hermite_H_der_sequence(ns, x): """First derivative of He_[ns] with respect to x, at points x. Parameters ---------- ns : iterable of int rising polynomial orders, assumed to be sorted x : numpy.ndarray point(s) to evaluate at. Scalars and arrays both work. Returns ------- generator of numpy.ndarray equivalent to array of shape (len(ns), len(x)) """ # this function includes all the optimizations in the hermite_He func, # but excludes the note comments. Read that first if you're looking for # clarity # see also: prysm.polynomials.jacobi.jacobi_sequence for the meta machinery # in use here ns = list(ns) min_i = 0 if ns[min_i] == 0: yield np.zeros_like(x) min_i += 1 if min_i == len(ns): return if ns[min_i] == 1: yield 2 * np.ones_like(x) min_i += 1 if min_i == len(ns): return x2 = 2 * x P1 = x2 P2 = 4 * (x * x) - 2 if ns[min_i] == 2: yield 4 * P1 min_i += 1 if min_i == len(ns): return Pnm2, Pnm1 = P1, P2 max_n = ns[-1] for nn in range(3, max_n+1): Pn = x2 * Pnm1 - (2*(nn-1)) * Pnm2 if ns[min_i] == nn: yield 2 * nn * Pnm1 min_i += 1 Pnm2, Pnm1 = Pnm1, Pn

22.356771

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0.528014

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8,585

3.339111

0.116805

0.043331

0.027082

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null

0

1

0

1

0

null

0

7

974287d09250c7455846f7bf454bd8478b6d7d1c

1,232

py

Python

lista2/Q1-Q14/Q7.py

AlexandrePeBrito/Python

79a09b1fb8e705dc7b6859d977c8916a2d0dd4d0

[ "MIT" ]

null

lista2/Q1-Q14/Q7.py

AlexandrePeBrito/Python

79a09b1fb8e705dc7b6859d977c8916a2d0dd4d0

[ "MIT" ]

null

lista2/Q1-Q14/Q7.py

AlexandrePeBrito/Python

79a09b1fb8e705dc7b6859d977c8916a2d0dd4d0

[ "MIT" ]

null

#Faça um Programa que leia três números e mostre o maior e o menor deles num1 = int(input("Informe o primeiro numero: ")) num2 = int(input("Informe o segundo numero: ")) num3 = int(input("Informe o terceiro numero: ")) if((num1>num2)and(num1>num3)): print("O Primeiro numero que tem o valor %.0f eh o maior dentre os 3 numeros."%num1) if(num2<num3): print("O Segundo numero que tem o valor %.0f eh o menor dentre os 3 numeros."%num2) elif(num3<num2): print("O Terceiro numero que tem o valor %.0f eh o menor dentre os 3 numeros."%num3) elif((num2>num1)and(num2>num3)): print("O Segundo numero que tem o valor %.0f eh o maior dentre os 3 numeros."%num2) if(num1<num3): print("O Primeiro numero que tem o valor %.0f eh o menor dentre os 3 numeros."%num1) elif(num3<num1): print("O Terceiro numero que tem o valor %.0f eh o menor dentre os 3 numeros."%num3) else: print("O Terceiro numero que tem o valor %.0f eh o maior dentre os 3 numeros."%num3) if(num1<num2): print("O Primeiro numero que tem o valor %.0f eh o menor dentre os 3 numeros."%num1) elif(num2<num1): print("O Segundo numero que tem o valor %.0f eh o menor dentre os 3 numeros."%num2)

51.333333

92

0.671266

220

1,232

3.759091

0.163636

0.065296

0.130593

0.141475

0.719468

0.704958

0

0.051706

0.215097

1,232

24

93

51.333333

0.803516

0.05763

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0.285714

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false

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null

0

1

0

1

0

null

0

1

0

7

974779bebf3db40d2eca9dfa4c198763794ecb9c

11,937

py

Python

tests/ui_tests/test_mixed_ui_options.py

AKhodus/adcm

98dbf22af3f1c6afa94505e9acaff0ac4088a602

[ "Apache-2.0" ]

null

tests/ui_tests/test_mixed_ui_options.py

AKhodus/adcm

98dbf22af3f1c6afa94505e9acaff0ac4088a602

[ "Apache-2.0" ]

null

tests/ui_tests/test_mixed_ui_options.py

AKhodus/adcm

98dbf22af3f1c6afa94505e9acaff0ac4088a602

[ "Apache-2.0" ]

null

# 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 allure import pytest from adcm_client.objects import ADCMClient from adcm_pytest_plugin.utils import parametrize_by_data_subdirs from tests.ui_tests.app.configuration import Configuration from .utils import prepare_cluster_and_get_config, check_that_all_fields_and_groups_invisible pytestmark = [pytest.mark.usefixtures("login_to_adcm_over_api")] @allure.step("Check invisible and advanced for groups false for fields true") def _check_invisible_and_advanced_for_groups_false_for_fields_true(sdk_client: ADCMClient, path, app): _, config = prepare_cluster_and_get_config(sdk_client, path, app) fields = config.get_field_groups() for field in fields: assert not field.is_displayed(), field.get_attribute("class") group_names = config.get_group_elements() assert group_names, group_names config.show_advanced() assert config.advanced fields = config.get_field_groups() group_names = config.get_group_elements() assert group_names for field in fields: assert not field.is_displayed(), field.get_attribute("class") @allure.step("Check that fields and groups visible only if advanced enabled") def _check_groups_and_fields_visible_if_advanced_enabled(sdk_client: ADCMClient, path, app): _, config = prepare_cluster_and_get_config(sdk_client, path, app) fields = config.get_field_groups() for field in fields: assert not field.is_displayed(), field.get_attribute("class") group_names = config.get_group_elements() assert not group_names, group_names config.show_advanced() assert config.advanced fields = config.get_field_groups() group_names = config.get_group_elements() assert group_names for field in fields: assert field.is_displayed(), field.get_attribute("class") @parametrize_by_data_subdirs(__file__, "group_advanced_false_invisible_false_field_advanced_false_invisible_false") def test_all_false(sdk_client_fs: ADCMClient, path, app_fs): """Check group and field ui options when advanced and invisible is false Scenario: 1. Create cluster 2. Get list of fields 3. Check that 1 field is visible 4. Check that 1 group visible 5. Enable advanced 6. Check that 1 field is visible 7. Check that 1 group is visible """ bundle = sdk_client_fs.upload_from_fs(path) cluster_name = path.split("/")[-1] cluster = bundle.cluster_create(name=cluster_name) config = Configuration(app_fs.driver, "{}/cluster/{}/config".format(app_fs.adcm.url, cluster.cluster_id)) groups = config.get_field_groups() for group in groups: assert group.is_displayed(), group.get_attribute("class") group_names = config.get_group_elements() with allure.step('Check that 1 field and 1 group is visible'): assert len(group_names) == 1 assert group_names[0].text == cluster_name assert group_names, group_names config.show_advanced() assert config.advanced group_names = config.get_group_elements() with allure.step('Check that 1 field and 1 group is visible'): assert group_names, group_names assert len(group_names) == 1 assert group_names[0].text == cluster_name groups = config.get_field_groups() for group in groups: assert group.is_displayed(), group.get_attribute("class") @parametrize_by_data_subdirs(__file__, "group_advanced_true_invisible_true_field_advanced_true_invisible_true") def test_all_true(sdk_client_fs: ADCMClient, path, app_fs): _, config = prepare_cluster_and_get_config(sdk_client_fs, path, app_fs) groups = config.get_field_groups() for group in groups: assert not group.is_displayed(), group.get_attribute("class") group_names = config.get_group_elements() assert not group_names, group_names config.show_advanced() assert config.advanced with allure.step('Check group and field ui options when advanced and invisible is true'): groups = config.get_field_groups() group_names = config.get_group_elements() assert not group_names for group in groups: assert not group.is_displayed(), group.get_attribute("class") @parametrize_by_data_subdirs(__file__, "group_advanced_false_invisible_false_field_advanced_true_invisible_true") def test_groups_false_fields_true(sdk_client_fs: ADCMClient, path, app_fs): """Invisible and advanced for groups false for fields true.""" _check_invisible_and_advanced_for_groups_false_for_fields_true(sdk_client_fs, path, app_fs) @parametrize_by_data_subdirs(__file__, "group_advanced_true_invisible_true_field_advanced_false_invisible_false") def test_groups_true_fields_false(sdk_client_fs: ADCMClient, path, app_fs): """Invisible and advanced for groups true for fields false. In this case no elements presented on page """ check_that_all_fields_and_groups_invisible(sdk_client_fs, path, app_fs) @parametrize_by_data_subdirs(__file__, "group_advanced_false_invisible_true_field_advanced_false_invisible_true") def test_invisible_true_advanced_false(sdk_client_fs: ADCMClient, path, app_fs): """Invisible and advanced for groups true for fields false. In this case no elements presented on page """ check_that_all_fields_and_groups_invisible(sdk_client_fs, path, app_fs) @parametrize_by_data_subdirs(__file__, "group_advanced_true_invisible_false_field_advanced_true_invisible_false") def test_invisible_false_advanced_true(sdk_client_fs: ADCMClient, path, app_fs): """Fields and groups visible only if advanced enabled.""" _check_groups_and_fields_visible_if_advanced_enabled(sdk_client_fs, path, app_fs) @parametrize_by_data_subdirs(__file__, "group_advanced_false_invisible_false_field_advanced_false_invisible_true") def test_group_advanced_false_invisible_false_field_advanced_false_invisible_true( sdk_client_fs: ADCMClient, path, app_fs ): """Invisible and advanced for groups false for fields true""" _check_invisible_and_advanced_for_groups_false_for_fields_true(sdk_client_fs, path, app_fs) @parametrize_by_data_subdirs(__file__, "group_advanced_false_invisible_false_field_advanced_true_invisible_false") def test_group_advanced_false_invisible_false_field_advanced_true_invisible_false( sdk_client_fs: ADCMClient, path, app_fs ): _, config = prepare_cluster_and_get_config(sdk_client_fs, path, app_fs) fields = config.get_field_groups() for field in fields: assert not field.is_displayed(), field.get_attribute("class") group_names = config.get_group_elements() assert group_names, group_names config.show_advanced() assert config.advanced with allure.step('Check groups are visible always, field only if advanced enabled'): fields = config.get_field_groups() group_names = config.get_group_elements() assert group_names for field in fields: assert field.is_displayed(), field.get_attribute("class") @parametrize_by_data_subdirs(__file__, "group_advanced_false_invisible_true_field_advanced_false_invisible_false") def test_group_advanced_false_invisible_true_field_advanced_false_invisible_false( sdk_client_fs: ADCMClient, path, app_fs ): """Invisible and advanced for groups true for fields false. In this case no elements presented on page """ check_that_all_fields_and_groups_invisible(sdk_client_fs, path, app_fs) @parametrize_by_data_subdirs(__file__, "group_advanced_false_invisible_true_field_advanced_true_invisible_false") def test_group_advanced_false_invisible_true_field_advanced_true_invisible_false( sdk_client_fs: ADCMClient, path, app_fs ): """Invisible and advanced for groups true for fields false. In this case no elements presented on page """ check_that_all_fields_and_groups_invisible(sdk_client_fs, path, app_fs) @parametrize_by_data_subdirs(__file__, "group_advanced_false_invisible_true_field_advanced_true_invisible_true") def test_group_advanced_false_invisible_true_field_advanced_true_invisible_true( sdk_client_fs: ADCMClient, path, app_fs ): """Invisible and advanced for groups true for fields false. In this case no elements presented on page """ check_that_all_fields_and_groups_invisible(sdk_client_fs, path, app_fs) @parametrize_by_data_subdirs(__file__, "group_advanced_true_invisible_false_field_advanced_false_invisible_false") def test_group_advanced_true_invisible_false_field_advanced_false_invisible_false( sdk_client_fs: ADCMClient, path, app_fs ): """Fields and groups visible only if advanced enabled.""" _check_groups_and_fields_visible_if_advanced_enabled(sdk_client_fs, path, app_fs) @parametrize_by_data_subdirs(__file__, "group_advanced_true_invisible_false_field_advanced_false_invisible_true") def test_group_advanced_true_invisible_false_field_advanced_false_invisible_true( sdk_client_fs: ADCMClient, path, app_fs ): _, config = prepare_cluster_and_get_config(sdk_client_fs, path, app_fs) fields = config.get_field_groups() for field in fields: assert not field.is_displayed(), field.get_attribute("class") group_names = config.get_group_elements() assert not group_names, group_names config.show_advanced() assert config.advanced with allure.step('Check that only group is visible if advanced enabled'): fields = config.get_field_groups() group_names = config.get_group_elements() assert group_names for field in fields: assert not field.is_displayed(), field.get_attribute("class") @parametrize_by_data_subdirs(__file__, "group_advanced_true_invisible_false_field_advanced_true_invisible_true") def test_group_advanced_true_invisible_false_field_advanced_true_invisible_true( sdk_client_fs: ADCMClient, path, app_fs ): _, config = prepare_cluster_and_get_config(sdk_client_fs, path, app_fs) fields = config.get_field_groups() for field in fields: assert not field.is_displayed(), field.get_attribute("class") group_names = config.get_group_elements() assert not group_names, group_names config.show_advanced() assert config.advanced with allure.step('Check that group is visible with advanced option and field is invisible'): fields = config.get_field_groups() group_names = config.get_group_elements() assert group_names for field in fields: assert not field.is_displayed(), field.get_attribute("class") @parametrize_by_data_subdirs(__file__, "group_advanced_true_invisible_true_field_advanced_false_invisible_true") def test_group_advanced_true_invisible_true_field_advanced_false_invisible_true( sdk_client_fs: ADCMClient, path, app_fs ): """Invisible and advanced for groups true for fields false. In this case no elements presented on page """ check_that_all_fields_and_groups_invisible(sdk_client_fs, path, app_fs) @parametrize_by_data_subdirs(__file__, "group_advanced_true_invisible_true_field_advanced_true_invisible_false") def test_group_advanced_true_invisible_true_field_advanced_true_invisible_false( sdk_client_fs: ADCMClient, path, app_fs ): """Invisible and advanced for groups true for fields false. In this case no elements presented on page """ check_that_all_fields_and_groups_invisible(sdk_client_fs, path, app_fs)

44.375465

115

0.783195

1,694

11,937

5.068477

0.084416

0.046587

0.040997

0.047519

0.866993

0.860238

0.854647

0.850454

0.840904

0.832867

0

0.00236

0.148111

11,937

268

116

44.541045

0.841971

0.143085

0

0.707865

0

0.169716

0.115132

0

0.219101

1

0.101124

false

0

0.033708

0

0.134831

0

null

0

1

0

1

0

null

0

7

9752dcfddfc7819d1fc49d848538d725ec7890b0

4,249

py

Python

tests/test_Autoloader_update_inventory.py

Robpol86/tape_bulk_eject

13b49565d5180925938b1182469bafb2929e0648

[ "MIT" ]

2

2018-03-08T21:49:06.000Z

2019-07-03T20:39:04.000Z

tests/test_Autoloader_update_inventory.py

Robpol86/tape_bulk_eject

13b49565d5180925938b1182469bafb2929e0648

[ "MIT" ]

1

2016-01-06T22:10:33.000Z

2016-02-18T23:33:11.000Z

tests/test_Autoloader_update_inventory.py

Robpol86/tape_bulk_eject

13b49565d5180925938b1182469bafb2929e0648

[ "MIT" ]

1

2019-06-30T19:07:14.000Z

import StringIO import pytest from tape_bulk_eject import Autoloader, HandledError def test_bad_html(monkeypatch, caplog): def urlopen(_): return StringIO.StringIO('This is not HTML.') monkeypatch.setattr('urllib2.urlopen', urlopen) autoloader = Autoloader('host', '', '') with pytest.raises(HandledError): autoloader.update_inventory() log = caplog.records()[-1].message assert log == 'Invalid HTML, found no regex matches.' def test_bad_attrs(monkeypatch, caplog): def urlopen(_): html = '<img src="ign" onclick="from_to(slot1)"><center><img src="" title="" onclick="x">' return StringIO.StringIO(html) monkeypatch.setattr('urllib2.urlopen', urlopen) autoloader = Autoloader('host', '', '') with pytest.raises(HandledError): autoloader.update_inventory() log = caplog.records()[-1].message assert log == 'Attribute "onclick" in img tag is invalid: x' def test_valid(monkeypatch): def urlopen(_): html = """ <img src="ignore.me" title="ignore" onclick="from_to(slot1)" /> <center> <img src="ignore_me.too" onclick="from_to(slot1)" /> <img src="tape.gif" title="00001FA" onclick="from_to(slot1)" /> <img src="tape.gif" title="00002FA" onclick="from_to(slot2)" /> <img src="tape.gif" title="00003FA" onclick="from_to(slot3)" /> <img src="tape.gif" title="00004FA" onclick="from_to(slot4)" /> <img src="tape.gif" title="00005FA" onclick="from_to(slot5)" /> <img src="tape.gif" title="00006FA" onclick="from_to(slot6)" /> <img src="tape.gif" title="00007FA" onclick="from_to(slot7)" /> <img src="tape.gif" title="00008FA" onclick="from_to(slot8)" /> <img src="tape.gif" title="000016FA" onclick="from_to(slot16)" /> <img src="tape.gif" title="000017FA" onclick="from_to(mailslot)" /> <img src="tape.gif" title="000018FA" onclick="from_to(picker)" /> <img src="tape.gif" title="000019FA" onclick="from_to(drive)" /> </center> """ return StringIO.StringIO(html) monkeypatch.setattr('urllib2.urlopen', urlopen) monkeypatch.setattr(Autoloader, 'DELAY', 0.01) autoloader = Autoloader('host', '', '') autoloader.update_inventory() expected = { '00001FA': '1', '00002FA': '2', '00003FA': '3', '00004FA': '4', '00005FA': '5', '00006FA': '6', '00007FA': '7', '00008FA': '8', '000016FA': '16', '000019FA': 'drive', '000018FA': 'picker', '000017FA': 'mailslot', } assert autoloader.inventory == expected def urlopen(_): html = """ <center> <img src="tape.gif" title="00001FA" onclick="from_to(slot1)" /> <img src="tape.gif" title="00002FA" onclick="from_to(slot2)" /> <img src="tape.gif" title="00003FA" onclick="from_to(slot3)" /> <img src="tape.gif" title="00004FA" onclick="from_to(slot4)" /> <img src="tape.gif" title="00005FA" onclick="from_to(slot5)" /> <img src="tape.gif" title="00006FA" onclick="from_to(slot6)" /> <img src="tape.gif" title="00007FA" onclick="from_to(slot7)" /> <img src="tape.gif" title="00008FA" onclick="from_to(slot8)" /> <img src="tape.gif" title="10016FA" onclick="from_to(slot16)" /> <img src="tape.gif" title="Empty" onclick="from_to(mailslot)" /> <img src="tape.gif" title="Empty" onclick="from_to(picker)" /> <img src="tape.gif" title="Empty" onclick="from_to(drive)" /> </center> """ return StringIO.StringIO(html) monkeypatch.setattr('urllib2.urlopen', urlopen) autoloader.update_inventory() expected = { '00001FA': '1', '00002FA': '2', '00003FA': '3', '00004FA': '4', '00005FA': '5', '00006FA': '6', '00007FA': '7', '00008FA': '8', '10016FA': '16', } assert autoloader.inventory == expected

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9756fac96650732649ed769608ff66f725f28767

24,477

py

Python

src/api/datahub/access/tests/fixture/access.py

Chromico/bk-base

be822d9bbee544a958bed4831348185a75604791

[ "MIT" ]

84

2021-06-30T06:20:23.000Z

2022-03-22T03:05:49.000Z

src/api/datahub/access/tests/fixture/access.py

Chromico/bk-base

be822d9bbee544a958bed4831348185a75604791

[ "MIT" ]

7

2021-06-30T06:21:16.000Z

2022-03-29T07:36:13.000Z

src/api/datahub/access/tests/fixture/access.py

Chromico/bk-base

be822d9bbee544a958bed4831348185a75604791

[ "MIT" ]

40

2021-06-30T06:21:26.000Z

2022-03-29T12:42:26.000Z

# -*- coding: utf-8 -*- """ Tencent is pleased to support the open source community by making BK-BASE 蓝鲸基础平台 available. Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved. BK-BASE 蓝鲸基础平台 is licensed under the MIT License. License for BK-BASE 蓝鲸基础平台: -------------------------------------------------------------------- Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ import pytest from ...tests import db_helper @pytest.fixture(scope="session") def django_db_setup(): """Avoid creating/setting up the test database""" pass @pytest.fixture() def init_access(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_raw_data" "(id,bk_biz_id, raw_data_name, raw_data_alias, data_source, data_scenario, bk_app_code," "storage_channel_id, created_by, updated_by, description, maintainer)" 'values (123,2,"test","test","business_server","db","bkdata",' '1002,"admin","admin","","admin" ' ");", ) db_helper.execute( cur, """insert into access_operation_log (id,raw_data_id,args,created_by, updated_by, description, status) values (1,123,"{}","admin","admin","","stopped");""", ) db_helper.execute( cur, "insert into access_resource_info" "(id, raw_data_id, resource, collection_type, start_at, increment_field, period, time_format," "before_time, conditions, description)" 'values (1, 123, \'{"scope_config": {"paths": [{"path":["/tmp/*.log"], ' '"system":"linux"}]}, "module_scope": [{"bk_obj_id": ' '"xxxx", "bk_inst_id": 123}], "host_scope": [{"ip": "x.x.x.x",' ' "bk_cloud_id": 222}]}\',' ' "incr", 0, null ,0 ,null, null, \'{"fields": [{"index": 1,' ' "logic_op": "and", "value": "111", "op": "=11111"}], "delimiter": "|"}\',"" ' ");", ) db_helper.insert( cur, "access_raw_data_task", id=data_id, task_id=1, raw_data_id="123", created_by="admin", created_at="2019-01-01 00:00:00", updated_by="admin", updated_at="2019-01-01 00:00:00", description="description", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_raw_data") db_helper.execute(cur, "DELETE FROM access_operation_log") db_helper.execute(cur, "DELETE FROM access_resource_info") db_helper.execute(cur, "DELETE FROM access_raw_data_task") @pytest.fixture() def init_access_raw_data(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_raw_data" "(id,bk_biz_id, raw_data_name, raw_data_alias, data_source, data_scenario, bk_app_code," "storage_channel_id, created_by, updated_by, description, maintainer)" 'values (123,2,"test","test","business_server","db","bkdata",' '1002,"admin","admin","","admin" ' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_raw_data where id = 123") @pytest.fixture() def init_access_operation_log(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, """insert into access_operation_log (id,raw_data_id,args,created_by, updated_by, description, status) values (1,123,"{}","admin","admin","","success");""", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_operation_log") @pytest.fixture def init_access_raw_data_task(): data_id = 1 with db_helper.open_cursor("mapleleaf") as cur: db_helper.insert( cur, "access_raw_data_task", id=data_id, task_id=1, raw_data_id="123", created_by="admin", created_at="2019-01-01 00:00:00", updated_by="admin", updated_at="2019-01-01 00:00:00", description="description", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_raw_data_task where id = 1") @pytest.fixture def init_access_task(): data_id = 1 with db_helper.open_cursor("mapleleaf") as cur: db_helper.insert( cur, "access_task", id=data_id, data_scenario="db", bk_biz_id=591, deploy_plans="", logs=u"INFO|2019-01-25 14:43:44|start", logs_en="", context="", result="success", action="deploy", created_at="2019-01-01 00:00:00", updated_by="admin", created_by="admin", updated_at="2019-01-01 00:00:00", description="description", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_task where id = 1") @pytest.fixture() def init_tqos_zone_conf(): tqos_zone_id = 11 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "INSERT INTO access_tqos_zone_config " "(tqos_zone_id, tqos_zone_name, ip_set,description) " 'VALUES (11,"测试大区ID","x.x.x.x","测试大区ID");', ) try: yield tqos_zone_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_tqos_zone_config where tqos_zone_id = 11") @pytest.fixture() def init_db_access_raw_data(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_raw_data" "(id,bk_biz_id, raw_data_name, raw_data_alias, data_source, data_scenario, bk_app_code," "storage_channel_id, created_by, updated_by, description, maintainer)" 'values (123,2,"test","test","business_server","log","bkdata",' '1002,"admin","admin","","admin" ' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_raw_data where id = 123") @pytest.fixture() def init_script_access_raw_data(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_raw_data" "(id,bk_biz_id, raw_data_name, raw_data_alias, data_source, data_scenario, bk_app_code," "storage_channel_id, created_by, updated_by, description, maintainer)" 'values (123,2,"test","test","business_server","script","bkdata",' '1002,"admin","admin","","admin" ' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_raw_data where id = 123") @pytest.fixture() def init_http_access_raw_data(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_raw_data" "(id,bk_biz_id, raw_data_name, raw_data_alias, data_source, data_scenario, bk_app_code," "storage_channel_id, created_by, updated_by, description, maintainer)" 'values (123,2,"test","test","business_server","http","bkdata",' '1002,"admin","admin","","admin" ' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_raw_data where id = 123") @pytest.fixture() def init_log_access_raw_data(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_raw_data" "(id, bk_biz_id, raw_data_name, raw_data_alias, data_source, data_encoding," "data_scenario, bk_app_code, storage_channel_id," "created_by, updated_by, description, maintainer)" 'values (123,2,"test","test","business_server", "gbk", "log","bkdata",' '1002,"admin","admin","","admin" ' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_raw_data where id = 123") @pytest.fixture() def init_access_log_resource(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_resource_info" "(id, raw_data_id, resource, collection_type, start_at, increment_field, period, time_format," "before_time, conditions, description)" 'values (11, 123, \'{"scope_config": {"paths": [{"path":["/tmp/*.log"], ' '"system":"linux"}]}, "module_scope": [{"bk_obj_id": ' '"xxxx", "bk_inst_id": 123}], "host_scope": [{"ip": "x.x.x.x",' ' "bk_cloud_id": 222}]}\',' ' "incr", 0, null ,0 ,null, null, \'{"fields": [{"index": 1,' ' "logic_op": "and", "value": "111", "op": "=11111"}], "delimiter": "|"}\',"" ' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_resource_info where id = 11") @pytest.fixture() def init_access_tqos_resource(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_resource_info" "(id, raw_data_id, resource, collection_type, start_at, increment_field, period, time_format," "before_time, conditions, description)" 'values (11, 123, \'{"scope_config": {"paths": [{"path":["/tmp/*.log"], ' '"system":"linux"}]}, "module_scope": [{"bk_obj_id": ' '"xxxx", "bk_inst_id": 123}], "host_scope": [{"ip": "x.x.x.x",' ' "bk_cloud_id": 222}]}\',' ' "incr", 0, null ,0 ,null, null,null,"" ' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_resource_info where id = 11") @pytest.fixture() def init_access_ondition_format_error(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_resource_info" "(id, raw_data_id, resource, collection_type, start_at, increment_field, period, time_format," "before_time, conditions, description)" 'values (11, 123, \'{"scope_config": {"paths": ["/tmp/*.log", "/tmp/*.l",' ' "/tmp/*.aaaz"]}, "module_scope": [{"bk_obj_id": "xxxx", ' '"bk_inst_id": 123}], "host_scope": [{"ip": "x.x.x.x",' ' "bk_cloud_id": 222}]}\',' ' "incr", 0, null ,0 ,"yyyy-MM-dd HH:mm:ss", ' 'null, \'{"fields": [{"inxxdex": 1, "logxic_op": "and",' ' "valxue": "111", "oxp": "=11111"}], "delimiter": "|"}\',"" ' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_resource_info where id = 11") @pytest.fixture() def init_access_time_db_resource_filter(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_resource_info" "(id, raw_data_id, resource, collection_type, start_at, increment_field, period, time_format," "before_time, conditions, description )" 'values (11, 123, \'{"db_host": "x.x.x.x", ' '"db_port": 10000, "db_user": "user", "db_pass": "XXX",' ' "db_name": "bkdata_basic", "table_name": "access_db_info",' ' "db_type_id": 1}\',' ' "time", 0, "create_at" ,0 ,"yyyy-MM-dd HH:mm:ss", 100, \'[{"key":"key","op":"="' ',"logic_op":"and","value":"val"}]\', ""' ");", ) db_helper.execute( cur, "insert into access_resource_info" "(id, raw_data_id, resource, collection_type, start_at, increment_field, period, time_format," "before_time, conditions, description )" 'values (12, 123, \'{"db_host": "x.x.x.x", ' '"db_port": 10000, "db_user": "user", "db_pass": "XXX",' ' "db_name": "bkdata_basic", "table_name": "access_db_info",' ' "db_type_id": 1}\',' ' "time", 0, "create_at" ,0 ,"yyyy-MM-dd HH:mm:ss", 100, \'[{"key":"key","op":"="' ',"logic_op":"and","value":"val"}]\', ""' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_resource_info where id in (11,12)") @pytest.fixture() def init_access_script_resource(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_resource_info" "(id, raw_data_id, resource, collection_type, start_at, increment_field, period, time_format," "before_time, conditions, description )" 'values (11, 123, "",' ' "time", 0, "create_at" ,0 ,"yyyy-MM-dd HH:mm:ss", 100, "", ""' ");", ) db_helper.execute( cur, "insert into access_resource_info" "(id, raw_data_id, resource, collection_type, start_at, increment_field, period, time_format," "before_time, conditions, description )" 'values (12, 123, "",' ' "time", 0, "create_at" ,0 ,"yyyy-MM-dd HH:mm:ss", 100, "", ""' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_resource_info where id in (11,12)") @pytest.fixture() def init_access_pri_db_resource(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_resource_info" "(id, raw_data_id, resource, collection_type, start_at, increment_field, period, time_format," "before_time, conditions)" 'values (11, 123, \'{"db_host": "x.x.x.x", ' '"db_port": 10000, "db_user": "user", "db_pass": "pwd", ' '"db_name": "bkdata_basic", "table_name": "access_db_info",' ' "db_type_id": 1}\',' ' "pri", 0, "pid" ,0 ,"", 100, "" ' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_resource_info where id = 11") @pytest.fixture() def init_access_all_db_resource(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_resource_info" "(id, raw_data_id, resource, collection_type, start_at, increment_field, period, time_format," "before_time, conditions)" 'values (11, 123, \'{"db_host": "x.x.x.x",' ' "db_port": 10000, "db_user": "user", "db_pass": "pwd", ' '"db_name": "bkdata_basic", "table_name": "access_db_info", ' '"db_type_id": 1}\',' ' "all", 0, null ,0 ,"", 100, "" ' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_resource_info where id = 11") @pytest.fixture() def init_access_db_no_poll_type(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_resource_info" "(id, raw_data_id, resource, collection_type, start_at, increment_field, period, time_format," "before_time, conditions)" 'values (11, 123, \'{"db_host": "x.x.x.x",' ' "db_port": 10000, "db_user": "user",' '"db_pass": "pwd", "db_name": "bkdata_basic", ' '"table_name": "access_db_info", "db_type_id": 1}\',' ' "unknow", 0, null ,0 ,"", 100, "" ' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_resource_info where id = 11") def clean_access_db_info(): with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_db_info") @pytest.fixture() def init_access_get_http_resource(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_resource_info" "(id, raw_data_id, resource, collection_type, start_at, increment_field, period, time_format," "before_time, conditions, description)" 'values (11, 123, \'{"url": "http://xxx", "method": "get"}\',' ' null, 0, "create_at" ,0 ,"yyyy-MM-dd HH:mm:ss", 100, "", "" ' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_resource_info where id = 11") @pytest.fixture() def init_access_post_http_resource(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "insert into access_resource_info" "(id, raw_data_id, resource, collection_type, start_at, increment_field, period, time_format," "before_time, conditions)" 'values (11, 123, \'{"url": "http://xxx", "method": "post", "body":"x"}\',' ' null, 0, "create_at" ,0 ,"yyyy-MM-dd HH:mm:ss", 100, "" ' ");", ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_resource_info where id = 11") @pytest.fixture() def init_access_tlog(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "INSERT INTO access_tlog_info " "(id, raw_data_id, scope_type, scope_objects, scope_config, conditions, " "created_by, updated_by, description) " 'VALUES (11, 123, "module", ' '\'[{"bk_obj_id": "set", "bk_inst_id": 123}, {"bk_obj_id": "module", "bk_inst_id": 321}]\', ' '\'{"paths": ["/tmp/*.log"]}\', ' '\'{"delimiter":"|","fields":[{"index":1,"op":"=","value":"111","logic_op":""}]}\', ' '"admin", "admin", "");', ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, """ DELETE FROM access_tlog_info WHERE id = %(data_id)s """, data_id=data_id, ) @pytest.fixture() def init_task_log(): type_id = 1 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "INSERT INTO access_task " "(id, data_scenario, bk_biz_id, deploy_plans, logs, logs_en, context, result, created_by, " "description) " 'VALUES (100, "log", 591, "{}", "", "", "", "", "", "");', ) try: yield type_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_task where id = 100") @pytest.fixture() def init_log_type(): type_id = 1 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "INSERT INTO access_host_config " "(action, ip, data_scenario,operator, description) " 'VALUES ("package","x.x.x.x","log","admin","log接入host信息");', ) try: yield type_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_host_config") @pytest.fixture() def init_tlog_type(): type_id = 1 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "INSERT INTO access_host_config " "(action, ip, data_scenario,operator, description) " 'VALUES ("package","x.x.x.x","tlog","admin","tlog接入host信息");', ) try: yield type_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_host_config") @pytest.fixture() def init_access_log(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "INSERT INTO access_log_info " "(id, raw_data_id, scope_type, scope_objects, scope_config, conditions, " "created_by, updated_by, description) " 'VALUES (999, 123, "module", ' '\'[{"bk_obj_id": "set", "bk_inst_id": 123}, {"bk_obj_id": "module", "bk_inst_id": 321}]\', ' '\'{"paths": ["/tmp/*.log"]}\', ' '\'{"delimiter":"|","fields":[{"fieldindex":1,"op":"=","word":"111","logic_op":""}]}\', ' '"admin", "admin", "");', ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, """ DELETE FROM access_log_info WHERE id = %(data_id)s """, data_id=data_id, ) @pytest.fixture() def init_access_log_end_with_patten(): data_id = 123 with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute( cur, "INSERT INTO access_log_info " "(id, raw_data_id, scope_type, scope_objects, scope_config, conditions, " "created_by, updated_by, description) " 'VALUES (999, 123, "module", ' '\'[{"bk_obj_id": "set", "bk_inst_id": 123}, {"bk_obj_id": "module", "bk_inst_id": 321}]\', ' '\'{"paths": ["/tmp/*.log*"]}\', ' '\'{"delimiter":"|","fields":[{"fieldindex":1,"op":"=","word":"111","logic_op":""}]}\', ' '"admin", "admin", "");', ) try: yield data_id finally: with db_helper.open_cursor("mapleleaf") as cur: db_helper.execute(cur, "DELETE FROM access_log_info")

36.10177

111

0.567226

2,998

24,477

4.356237

0.096731

0.070444

0.066616

0.079939

0.858499

0.852067

0.848851

0.841271

0.837519

0.829556

0

0.030738

0.284921

24,477

677

112

36.155096

0.71542

0.057523

0

0.770318

0

0.010601

0.434228

0.035233

0

1

0.04947

false

0.010601

0.003534

0

0.053004

0

null

0

1

0

1

0

null

0

7

977029b94deded3231dea257c689363167f5b914

224

py

Python

p0001/test_p0001.py

th3-z/euler

cccb6b2ccb6bf443ff42b28c7a7bf1d8e3c91af2

[ "MIT" ]

null

p0001/test_p0001.py

th3-z/euler

cccb6b2ccb6bf443ff42b28c7a7bf1d8e3c91af2

[ "MIT" ]

null

p0001/test_p0001.py

th3-z/euler

cccb6b2ccb6bf443ff42b28c7a7bf1d8e3c91af2

[ "MIT" ]

null

from p0001 import mult35range def test_mult35range(): assert sum(mult35range(0,1000)) == 233168 assert sum(mult35range(99,100)) == 99 assert sum(mult35range(0,100)) == 2318 assert sum(mult35range(0,1)) == 0

28

45

0.6875

31

224

4.935484

0.483871

0.235294

0.522876

0.411765

0

0.243243

0.174107

224

7

46

32

0.583784

0

0.666667

1

0.166667

true

0

0.166667

0

0.333333

0

null

1

0

1

0

1

0

null

0

1

0

1

0

7

979bfe1038ba05e8dce925f73cc068565b73548f

32,206

py

Python

kapua-client/python-client/swagger_client/api/users_api.py

liang-faan/SmartIOT-Diec

8336a4b558295295f10a82cf350d8b7ff3fb9f5c

[ "MIT" ]

5

2019-05-30T02:55:16.000Z

2020-03-03T14:18:23.000Z

kapua-client/python-client/swagger_client/api/users_api.py

liang-faan/SmartIOT-Diec

8336a4b558295295f10a82cf350d8b7ff3fb9f5c

[ "MIT" ]

3

2019-12-27T00:53:23.000Z

2020-02-17T05:29:19.000Z

kapua-client/python-client/swagger_client/api/users_api.py

liang-faan/SmartIOT-Diec

8336a4b558295295f10a82cf350d8b7ff3fb9f5c

[ "MIT" ]

4

2019-06-04T06:26:14.000Z

2021-01-07T04:25:32.000Z

# coding: utf-8 """ Eclipse Kapua REST API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: 1.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from swagger_client.api_client import ApiClient class UsersApi(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 user_count(self, scope_id, body, **kwargs): # noqa: E501 """Counts the Users # noqa: E501 Counts the Users with the given UserQuery parameter returning the number of matching Users # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_count(scope_id, body, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId in which to count results (required) :param UserQuery body: The UserQuery to use to filter count results (required) :return: CountResult If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.user_count_with_http_info(scope_id, body, **kwargs) # noqa: E501 else: (data) = self.user_count_with_http_info(scope_id, body, **kwargs) # noqa: E501 return data def user_count_with_http_info(self, scope_id, body, **kwargs): # noqa: E501 """Counts the Users # noqa: E501 Counts the Users with the given UserQuery parameter returning the number of matching Users # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_count_with_http_info(scope_id, body, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId in which to count results (required) :param UserQuery body: The UserQuery to use to filter count results (required) :return: CountResult If the method is called asynchronously, returns the request thread. """ all_params = ['scope_id', '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 user_count" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'scope_id' is set if ('scope_id' not in params or params['scope_id'] is None): raise ValueError("Missing the required parameter `scope_id` when calling `user_count`") # 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 `user_count`") # noqa: E501 collection_formats = {} path_params = {} if 'scope_id' in params: path_params['scopeId'] = params['scope_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/xml', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/xml', 'application/json']) # noqa: E501 # Authentication setting auth_settings = ['kapuaAccessToken'] # noqa: E501 return self.api_client.call_api( '/{scopeId}/users/_count', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='CountResult', # 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 user_create(self, scope_id, body, **kwargs): # noqa: E501 """Create an User # noqa: E501 Creates a new User based on the information provided in UserCreator parameter. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_create(scope_id, body, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId in which to create the User (required) :param UserCreator body: Provides the information for the new User to be created (required) :return: User If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.user_create_with_http_info(scope_id, body, **kwargs) # noqa: E501 else: (data) = self.user_create_with_http_info(scope_id, body, **kwargs) # noqa: E501 return data def user_create_with_http_info(self, scope_id, body, **kwargs): # noqa: E501 """Create an User # noqa: E501 Creates a new User based on the information provided in UserCreator parameter. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_create_with_http_info(scope_id, body, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId in which to create the User (required) :param UserCreator body: Provides the information for the new User to be created (required) :return: User If the method is called asynchronously, returns the request thread. """ all_params = ['scope_id', '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 user_create" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'scope_id' is set if ('scope_id' not in params or params['scope_id'] is None): raise ValueError("Missing the required parameter `scope_id` when calling `user_create`") # 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 `user_create`") # noqa: E501 collection_formats = {} path_params = {} if 'scope_id' in params: path_params['scopeId'] = params['scope_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/xml', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/xml', 'application/json']) # noqa: E501 # Authentication setting auth_settings = ['kapuaAccessToken'] # noqa: E501 return self.api_client.call_api( '/{scopeId}/users', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='User', # 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 user_delete(self, scope_id, user_id, **kwargs): # noqa: E501 """Delete an User # noqa: E501 Deletes the User specified by the \"userId\" path parameter. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_delete(scope_id, user_id, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId of the User to delete. (required) :param str user_id: The id of the User to be deleted (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.user_delete_with_http_info(scope_id, user_id, **kwargs) # noqa: E501 else: (data) = self.user_delete_with_http_info(scope_id, user_id, **kwargs) # noqa: E501 return data def user_delete_with_http_info(self, scope_id, user_id, **kwargs): # noqa: E501 """Delete an User # noqa: E501 Deletes the User specified by the \"userId\" path parameter. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_delete_with_http_info(scope_id, user_id, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId of the User to delete. (required) :param str user_id: The id of the User to be deleted (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['scope_id', 'user_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method user_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'scope_id' is set if ('scope_id' not in params or params['scope_id'] is None): raise ValueError("Missing the required parameter `scope_id` when calling `user_delete`") # noqa: E501 # verify the required parameter 'user_id' is set if ('user_id' not in params or params['user_id'] is None): raise ValueError("Missing the required parameter `user_id` when calling `user_delete`") # noqa: E501 collection_formats = {} path_params = {} if 'scope_id' in params: path_params['scopeId'] = params['scope_id'] # noqa: E501 if 'user_id' in params: path_params['userId'] = params['user_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['kapuaAccessToken'] # noqa: E501 return self.api_client.call_api( '/{scopeId}/users/{userId}', '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 user_find(self, scope_id, user_id, **kwargs): # noqa: E501 """Get an User # noqa: E501 Returns the User specified by the \"userId\" path parameter. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_find(scope_id, user_id, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId of the requested User. (required) :param str user_id: The id of the requested User (required) :return: User If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.user_find_with_http_info(scope_id, user_id, **kwargs) # noqa: E501 else: (data) = self.user_find_with_http_info(scope_id, user_id, **kwargs) # noqa: E501 return data def user_find_with_http_info(self, scope_id, user_id, **kwargs): # noqa: E501 """Get an User # noqa: E501 Returns the User specified by the \"userId\" path parameter. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_find_with_http_info(scope_id, user_id, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId of the requested User. (required) :param str user_id: The id of the requested User (required) :return: User If the method is called asynchronously, returns the request thread. """ all_params = ['scope_id', 'user_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method user_find" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'scope_id' is set if ('scope_id' not in params or params['scope_id'] is None): raise ValueError("Missing the required parameter `scope_id` when calling `user_find`") # noqa: E501 # verify the required parameter 'user_id' is set if ('user_id' not in params or params['user_id'] is None): raise ValueError("Missing the required parameter `user_id` when calling `user_find`") # noqa: E501 collection_formats = {} path_params = {} if 'scope_id' in params: path_params['scopeId'] = params['scope_id'] # noqa: E501 if 'user_id' in params: path_params['userId'] = params['user_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['kapuaAccessToken'] # noqa: E501 return self.api_client.call_api( '/{scopeId}/users/{userId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='User', # 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 user_query(self, scope_id, body, **kwargs): # noqa: E501 """Queries the Users # noqa: E501 Queries the Users with the given UserQuery parameter returning all matching Users # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_query(scope_id, body, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId in which to search results. (required) :param UserQuery body: The UserQuery to use to filter results. (required) :return: UserListResult If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.user_query_with_http_info(scope_id, body, **kwargs) # noqa: E501 else: (data) = self.user_query_with_http_info(scope_id, body, **kwargs) # noqa: E501 return data def user_query_with_http_info(self, scope_id, body, **kwargs): # noqa: E501 """Queries the Users # noqa: E501 Queries the Users with the given UserQuery parameter returning all matching Users # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_query_with_http_info(scope_id, body, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId in which to search results. (required) :param UserQuery body: The UserQuery to use to filter results. (required) :return: UserListResult If the method is called asynchronously, returns the request thread. """ all_params = ['scope_id', '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 user_query" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'scope_id' is set if ('scope_id' not in params or params['scope_id'] is None): raise ValueError("Missing the required parameter `scope_id` when calling `user_query`") # 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 `user_query`") # noqa: E501 collection_formats = {} path_params = {} if 'scope_id' in params: path_params['scopeId'] = params['scope_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/xml', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/xml', 'application/json']) # noqa: E501 # Authentication setting auth_settings = ['kapuaAccessToken'] # noqa: E501 return self.api_client.call_api( '/{scopeId}/users/_query', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserListResult', # 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 user_simple_query(self, scope_id, **kwargs): # noqa: E501 """Gets the User list in the scope # noqa: E501 Returns the list of all the users associated to the current selected scope. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_simple_query(scope_id, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId in which to search results. (required) :param str name: The user name to filter results. :param int offset: The result set offset. :param int limit: The result set limit. :return: UserListResult If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.user_simple_query_with_http_info(scope_id, **kwargs) # noqa: E501 else: (data) = self.user_simple_query_with_http_info(scope_id, **kwargs) # noqa: E501 return data def user_simple_query_with_http_info(self, scope_id, **kwargs): # noqa: E501 """Gets the User list in the scope # noqa: E501 Returns the list of all the users associated to the current selected scope. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_simple_query_with_http_info(scope_id, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId in which to search results. (required) :param str name: The user name to filter results. :param int offset: The result set offset. :param int limit: The result set limit. :return: UserListResult If the method is called asynchronously, returns the request thread. """ all_params = ['scope_id', 'name', 'offset', 'limit'] # 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 user_simple_query" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'scope_id' is set if ('scope_id' not in params or params['scope_id'] is None): raise ValueError("Missing the required parameter `scope_id` when calling `user_simple_query`") # noqa: E501 collection_formats = {} path_params = {} if 'scope_id' in params: path_params['scopeId'] = params['scope_id'] # noqa: E501 query_params = [] if 'name' in params: query_params.append(('name', params['name'])) # noqa: E501 if 'offset' in params: query_params.append(('offset', params['offset'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # 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', 'application/xml']) # noqa: E501 # Authentication setting auth_settings = ['kapuaAccessToken'] # noqa: E501 return self.api_client.call_api( '/{scopeId}/users', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserListResult', # 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 user_update(self, scope_id, user_id, body, **kwargs): # noqa: E501 """Update an User # noqa: E501 Updates a new User based on the information provided in the User parameter. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_update(scope_id, user_id, body, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId of the requested User. (required) :param str user_id: The id of the requested User (required) :param User body: The modified User whose attributes needs to be updated (required) :return: User If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.user_update_with_http_info(scope_id, user_id, body, **kwargs) # noqa: E501 else: (data) = self.user_update_with_http_info(scope_id, user_id, body, **kwargs) # noqa: E501 return data def user_update_with_http_info(self, scope_id, user_id, body, **kwargs): # noqa: E501 """Update an User # noqa: E501 Updates a new User based on the information provided in the User parameter. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_update_with_http_info(scope_id, user_id, body, async_req=True) >>> result = thread.get() :param async_req bool :param str scope_id: The ScopeId of the requested User. (required) :param str user_id: The id of the requested User (required) :param User body: The modified User whose attributes needs to be updated (required) :return: User If the method is called asynchronously, returns the request thread. """ all_params = ['scope_id', 'user_id', '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 user_update" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'scope_id' is set if ('scope_id' not in params or params['scope_id'] is None): raise ValueError("Missing the required parameter `scope_id` when calling `user_update`") # noqa: E501 # verify the required parameter 'user_id' is set if ('user_id' not in params or params['user_id'] is None): raise ValueError("Missing the required parameter `user_id` when calling `user_update`") # 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 `user_update`") # noqa: E501 collection_formats = {} path_params = {} if 'scope_id' in params: path_params['scopeId'] = params['scope_id'] # noqa: E501 if 'user_id' in params: path_params['userId'] = params['user_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/xml', 'application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/xml', 'application/json']) # noqa: E501 # Authentication setting auth_settings = ['kapuaAccessToken'] # noqa: E501 return self.api_client.call_api( '/{scopeId}/users/{userId}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='User', # 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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c13f47790a54888e3446fe3e754a740ee8912178

34,255

py

Python

pyswmm/lidlayers.py

kmmacro/pyswmm

028fc9a2c731bed4129ee100e295900d989867fd

[ "BSD-2-Clause" ]

186

2015-06-12T13:24:02.000Z

2022-03-24T10:19:43.000Z

pyswmm/lidlayers.py

kmmacro/pyswmm

028fc9a2c731bed4129ee100e295900d989867fd

[ "BSD-2-Clause" ]

256

2015-02-16T02:47:20.000Z

2022-03-18T16:08:09.000Z

pyswmm/lidlayers.py

kmmacro/pyswmm

028fc9a2c731bed4129ee100e295900d989867fd

[ "BSD-2-Clause" ]

99

2015-01-11T17:06:44.000Z

2022-03-15T09:26:44.000Z

# -*- coding: utf-8 -*- # ----------------------------------------------------------------------------- # Copyright (c) 2018 Jennifer Wu # # Licensed under the terms of the BSD2 License # See LICENSE.txt for details # ----------------------------------------------------------------------------- from pyswmm.toolkitapi import LidLayers, LidLayersProperty class Surface(object): """ +--------------------+--------------------+--------------------+--------------------+ | Layer | Parameter | Setter Before Sim | Setter During Sim | +====================+====================+====================+====================+ | Surface | thickness | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Surface | void_fraction | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Surface | roughness | enabled | enabled | +--------------------+--------------------+--------------------+--------------------+ | Surface | slope | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Surface | side_slope | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Surface | alpha | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ """ def __init__(self, model, lidcontrol): self._model = model self._lidcontrol = lidcontrol self._lidcontrolid = lidcontrol._lidcontrolid @property def thickness(self): """ Get lid control surface layer thickness :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.surface.value, LidLayersProperty.thickness.value) @thickness.setter def thickness(self, param): """Set lid control surface layer thickness""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.surface.value, LidLayersProperty.thickness.value, param) @property def void_fraction(self): """ Get lid control surface layer available fraction of storage volume :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.surface.value, LidLayersProperty.voidFrac.value) @void_fraction.setter def void_fraction(self, param): """Set lid control surface layer available fraction of storage volume""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.surface.value, LidLayersProperty.voidFrac.value, param) @property def roughness(self): """ Get lid control surface layer surface Mannings n :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.surface.value, LidLayersProperty.roughness.value) @roughness.setter def roughness(self, param): """Set lid control surface layer surface Mannings n""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.surface.value, LidLayersProperty.roughness.value, param) @property def slope(self): """ Get lid control surface layer land surface slope (fraction) :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.surface.value, LidLayersProperty.surfSlope.value) @slope.setter def slope(self, param): """Set lid control surface layer land surface slope (fraction)""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.surface.value, LidLayersProperty.surfSlope.value, param) @property def side_slope(self): """ Get lid control surface layer swale side slope (run/rise) :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.surface.value, LidLayersProperty.sideSlope.value) @side_slope.setter def side_slope(self, param): """Set lid control surface layer swale side slope (run/rise)""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.surface.value, LidLayersProperty.sideSlope.value, param) @property def alpha(self): """ Get lid control surface layer swale side slope (run/rise) :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.surface.value, LidLayersProperty.alpha.value) class Soil(object): """ +--------------------+--------------------+--------------------+--------------------+ | Layer | Parameter | Setter Before Sim | Setter During Sim | +====================+====================+====================+====================+ | Soil | thickness | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Soil | porosity | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Soil | field_capacity | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Soil | wilting_point | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Soil | k_saturated | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Soil | k_slope | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Soil | suction_head | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ """ def __init__(self, model, lidcontrol): self._model = model self._lidcontrol = lidcontrol self._lidcontrolid = lidcontrol._lidcontrolid @property def thickness(self): """ Get lid control soil layer thickness :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.thickness.value) @thickness.setter def thickness(self, param): """Set lid control soil layer thickness """ return self._model.setLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.thickness.value, param) @property def porosity(self): """ Get lid control soil layer void volume / total volume :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.porosity.value) @porosity.setter def porosity(self, param): """Set lid control soil layer void volume / total volume""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.porosity.value, param) @property def field_capacity(self): """ Get lid control soil layer field capacity :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.fieldCap.value) @field_capacity.setter def field_capacity(self, param): """Set lid control soil layer field capacity""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.fieldCap.value, param) @property def wilting_point(self): """ Get lid control soil layer wilting point :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.wiltPoint.value) @wilting_point.setter def wilting_point(self, param): """Set lid control soil layer wilting point""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.wiltPoint.value, param) @property def k_saturated(self): """ Get lid control soil layer saturated hydraulic conductivity :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.kSat.value) @k_saturated.setter def k_saturated(self, param): """Set lid control soil layer saturated hydraulic conductivity""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.kSat.value, param) @property def k_slope(self): """ Get lid control soil layer slope of log(k) v. moisture content curve :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.kSlope.value) @k_slope.setter def k_slope(self, param): """Set lid control soil layer slope of log(k) v. moisture content curve""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.kSlope.value, param) @property def suction_head(self): """ Get lid control soil layer suction head at wetting front :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.suction.value) @suction_head.setter def suction_head(self, param): """Set lid control soil layer suction head at wetting front""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.soil.value, LidLayersProperty.suction.value, param) class Storage(object): """ +--------------------+--------------------+--------------------+--------------------+ | Layer | Parameter | Setter Before Sim | Setter During Sim | +====================+====================+====================+====================+ | Storage | thickness | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Storage | void_fraction | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Storage | k_saturated | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Storage | clog_factor | enabled | enabled | +--------------------+--------------------+--------------------+--------------------+ """ def __init__(self, model, lidcontrol): self._model = model self._lidcontrol = lidcontrol self._lidcontrolid = lidcontrol._lidcontrolid @property def thickness(self): """ Get lid control storage layer thickness :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.storage.value, LidLayersProperty.thickness.value) @thickness.setter def thickness(self, param): """Set lid control storage layer thickness""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.storage.value, LidLayersProperty.thickness.value, param) @property def void_fraction(self): """ Get lid control storage layer void volume / total volume :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.storage.value, LidLayersProperty.voidFrac.value) @void_fraction.setter def void_fraction(self, param): """Set lid control storage layer void volume / total volume""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.storage.value, LidLayersProperty.voidFrac.value, param) @property def k_saturated(self): """ Get lid control storage layer saturated hydraulic conductivity :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.storage.value, LidLayersProperty.kSat.value) @k_saturated.setter def k_saturated(self, param): """Set lid control storage layer saturated hydraulic conductivity""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.storage.value, LidLayersProperty.kSat.value, param) @property def clog_factor(self): """ Get lid control storage layer clogging factor :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.storage.value, LidLayersProperty.clogFactor.value) @clog_factor.setter def clog_factor(self, param): """Set lid control storage layer clogging factor""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.storage.value, LidLayersProperty.clogFactor.value, param) class Pavement(object): """ +--------------------+--------------------+--------------------+--------------------+ | Layer | Parameter | Setter Before Sim | Setter During Sim | +====================+====================+====================+====================+ | Pavement | thickness | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Pavement | void_fraction | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Pavement | impervious_fraction| enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Pavement | k_saturated | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Pavement | clog_factor | enabled | enabled | +--------------------+--------------------+--------------------+--------------------+ | Pavement | regeneration | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | Pavement | regeneration_degree| enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ """ def __init__(self, model, lidcontrol): self._model = model self._lidcontrol = lidcontrol self._lidcontrolid = lidcontrol._lidcontrolid @property def thickness(self): """ Get lid control pavement layer thickness :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.thickness.value) @thickness.setter def thickness(self, param): """Get lid control pavement layer thickness""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.thickness.value, param) @property def void_fraction(self): """ Get lid control pavement layer void volume / total volume :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.voidFrac.value) @void_fraction.setter def void_fraction(self, param): """Set lid control pavement layer void volume / total volume""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.voidFrac.value, param) @property def impervious_fraction(self): """ Get lid control pavement layer impervious area fraction :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.impervFrac.value) @impervious_fraction.setter def impervious_fraction(self, param): """Set lid control pavement layer impervious area fraction""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.impervFrac.value, param) @property def k_saturated(self): """ Get lid control pavement layer permeability :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.kSat.value) @k_saturated.setter def k_saturated(self, param): """Get lid control pavement layer permeability """ return self._model.setLidCParam(self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.kSat.value, param) @property def clog_factor(self): """ Get lid control pavement layer clogging factor :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.clogFactor.value) @clog_factor.setter def clog_factor(self, param): """Get lid control pavement layer clogging factor""" return self._model.setLidCParam(self._sim._isStarted, self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.clogFactor.value, param) @property def regeneration(self): """ Get lid control pavement layer clogging regeneration interval (days) :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.regenDays.value) @regeneration.setter def regeneration(self, param): """Get lid control pavement layer clogging regeneration interval (days)""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.regenDays.value, param) @property def regeneration_degree(self): """ Get lid control pavement layer clogging regeneration degree :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.regenDegree.value) @regeneration_degree.setter def regeneration_degree(self, param): """Get lid control pavement layer clogging regeneration degree""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.pavement.value, LidLayersProperty.regenDegree.value, param) class Drain(object): """ +--------------------+--------------------+--------------------+--------------------+ | Layer | Parameter | Setter Before Sim | Setter During Sim | +====================+====================+====================+====================+ | Drain | coefficient | enabled | enabled | +--------------------+--------------------+--------------------+--------------------+ | Drain | exponent | enabled | enabled | +--------------------+--------------------+--------------------+--------------------+ | Drain | offset | enabled | enabled | +--------------------+--------------------+--------------------+--------------------+ | Drain | delay | enabled | enabled | +--------------------+--------------------+--------------------+--------------------+ | Drain | open_head | enabled | enabled | +--------------------+--------------------+--------------------+--------------------+ | Drain | close_head | enabled | enabled | +--------------------+--------------------+--------------------+--------------------+ """ def __init__(self, model, lidcontrol): self._model = model self._lidcontrol = lidcontrol self._lidcontrolid = lidcontrol._lidcontrolid @property def coefficient(self): """ Get lid control drain layer underdrain flow coefficient :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.drain.value, LidLayersProperty.coeff.value) @coefficient.setter def coefficient(self, param): """Set lid control drain layer underdrain flow coefficient""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.drain.value, LidLayersProperty.coeff.value, param) @property def exponent(self): """ Get lid control drain layer underdrain head exponent :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.drain.value, LidLayersProperty.expon.value) @exponent.setter def exponent(self, param): """Set lid control drain layer underdrain head exponent""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.drain.value, LidLayersProperty.expon.value, param) @property def offset(self): """ Get lid control drain layer offset height of underdrain :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.drain.value, LidLayersProperty.offset.value) @offset.setter def offset(self, param): """Set lid control drain layer offset height of underdrain""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.drain.value, LidLayersProperty.offset.value, param) @property def delay(self): """ Get lid control drain layer rain barrel drain delay time (sec) :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.drain.value, LidLayersProperty.delay.value) @delay.setter def delay(self, param): """Set lid control drain layer rain barrel drain delay time (sec)""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.drain.value, LidLayersProperty.delay.value, param) @property def open_head(self): """ Get lid control drain layer head when drain opens (ft) :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.drain.value, LidLayersProperty.hOpen.value) @open_head.setter def open_head(self, param): """Set lid control drain layer head when drain opens (ft)""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.drain.value, LidLayersProperty.hOpen.value, param) @property def close_head(self): """ Get lid control drain layer head when drain closes (ft) :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.drain.value, LidLayersProperty.hClose.value) @close_head.setter def close_head(self, param): """Set lid control drain layer drain closes (ft)""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.drain.value, LidLayersProperty.hClose.value, param) class DrainMat(object): """ +--------------------+--------------------+--------------------+--------------------+ | Layer | Parameter | Setter Before Sim | Setter During Sim | +====================+====================+====================+====================+ | DrainMat | thickness | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | DrainMat | void_fraction | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ | DrainMat | roughness | enabled | enabled | +--------------------+--------------------+--------------------+--------------------+ | DrainMat | alpha | enabled | disabled | +--------------------+--------------------+--------------------+--------------------+ """ def __init__(self, model, lidcontrol): self._model = model self._lidcontrol = lidcontrol self._lidcontrolid = lidcontrol._lidcontrolid @property def thickness(self): """ Get lid control drainmat layer thickness :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.drainMat.value, LidLayersProperty.thickness.value) @thickness.setter def thickness(self, param): """Set lid control drainmat layer thickness""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.drainMat.value, LidLayersProperty.thickness.value, param) @property def void_fraction(self): """ Get lid control drainmat layer void volume / total volume :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.drainMat.value, LidLayersProperty.voidFrac.value) @void_fraction.setter def void_fraction(self, param): """Set lid control drainmat layer void volume / total volume""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.drainMat.value, LidLayersProperty.voidFrac.value, param) @property def roughness(self): """ Get lid control drainmat layer Mannings n for green roof drainage mats :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.drainMat.value, LidLayersProperty.roughness.value) @roughness.setter def roughness(self, param): """Set lid control drainmat layer Mannings n for green roof drainage mats""" return self._model.setLidCParam(self._lidcontrolid, LidLayers.drainMat.value, LidLayersProperty.roughness.value, param) @property def alpha(self): """ Get lid control drainmat layer slope/roughness term in Manning equation :return: Parameter Value :rtype: double """ return self._model.getLidCParam(self._lidcontrolid, LidLayers.drainMat.value, LidLayersProperty.alpha.value)

41.77439

89

0.432316

2,273

34,255

6.403432

0.063792

0.048231

0.068018

0.039711

0.867262

0.862384

0.85572

0.823772

0.74799

0.692546

0

0.000287

0.390337

34,255

819

90

41.825397

0.696658

0.369056

0

0.774112

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1

0.182741

false

0

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0

0.36802

0

null

0

1

0

1

0

null

0

7

a9b6765c1213c1a28cbaa18d03a0f87f3016764a

816

py

Python

Hangman drawings.py

Chief-kith/Pringles

1490c9449588452c8464094d605d97794369b3e7

[ "CC0-1.0" ]

null

Hangman drawings.py

Chief-kith/Pringles

1490c9449588452c8464094d605d97794369b3e7

[ "CC0-1.0" ]

null

Hangman drawings.py

Chief-kith/Pringles

1490c9449588452c8464094d605d97794369b3e7

[ "CC0-1.0" ]

null

HANGMAN = ( """ ----- | | | | | | | | | -------- """, """ ----- | | | 0 | | | | | | -------- """, """ ----- | | | 0 | -+- | | | | | -------- """, """ ----- | | | 0 | /-+- | | | | | -------- """, """ ----- | | | 0 | /-+-\ | | | | | -------- """, """ ----- | | | 0 | /-+-\ | | | | | | -------- """, """ ----- | | | 0 | /-+-\ | | | | | | | -------- """, """ ----- | | | 0 | /-+-\ | | | | | | | | -------- """, """ ----- | | | 0 | /-+-\ | | | | | | | | | -------- """, """ ----- | | | 0 | /-+-\ | | | | | | | | | | -------- """, """ ----- | | | 0 | /-+-\ | | | | | | | | | | | -------- """)

6.089552

12

0.020833

11

816

1.545455

0.181818

1.058824

1.411765

1.647059

0.588235

0

0.024938

0.508578

816

134

13

6.089552

0.017456

0

1

0

false

0

1

0

1

null

1

0

1

0

1

0

null

0

7

e71a96de81fedf59936796923ed3df77c3fec33c

4,579

py

Python

tests/test_likenumpy.py

kgizdov/awkward-0.x

11953017a5495527169d3a031a5e866904d824a2

[ "BSD-3-Clause" ]

224

2018-07-01T00:28:27.000Z

2020-11-16T11:00:25.000Z

tests/test_likenumpy.py

kgizdov/awkward-0.x

11953017a5495527169d3a031a5e866904d824a2

[ "BSD-3-Clause" ]

196

2018-07-12T06:48:42.000Z

2020-11-01T17:18:51.000Z

tests/test_likenumpy.py

kgizdov/awkward-0.x

11953017a5495527169d3a031a5e866904d824a2

[ "BSD-3-Clause" ]

42

2018-06-28T11:36:55.000Z

2020-10-23T03:24:31.000Z

#!/usr/bin/env python # BSD 3-Clause License; see https://github.com/scikit-hep/awkward-0.x/blob/master/LICENSE import unittest import numpy import awkward0 class Test(unittest.TestCase): def runTest(self): pass def test_likenumpy_slices(self): print() np = numpy.array([[1, 10, 100], [2, 20, 200], [3, 30, 300]]) aw = awkward0.fromiter(np) assert np.tolist() == aw.tolist() assert np[:2].tolist() == aw[:2].tolist() assert np[:2, :2].tolist() == aw[:2, :2].tolist() assert np[:2, 2].tolist() == aw[:2, 2].tolist() assert np[2, :2].tolist() == aw[2, :2].tolist() assert np[:2, [0, 1]].tolist() == aw[:2, [0, 1]].tolist() assert np[[0, 1], :2].tolist() == aw[[0, 1], :2].tolist() assert np[:2, [0, 1, 2]].tolist() == aw[:2, [0, 1, 2]].tolist() assert np[[0, 1, 2], :2].tolist() == aw[[0, 1, 2], :2].tolist() assert np[[0, 1], [0, 1]].tolist() == aw[[0, 1], [0, 1]].tolist() assert np[[0, 1, 2], [0, 1, 2]].tolist() == aw[[0, 1, 2], [0, 1, 2]].tolist() assert np[:2, [True, False, True]].tolist() == aw[:2, [True, False, True]].tolist() assert np[[True, False, True], :2].tolist() == aw[[True, False, True], :2].tolist() assert np[[True, False, True], [True, False, True]].tolist() == aw[[True, False, True], [True, False, True]].tolist() np = numpy.array([[[1, 10, 100], [2, 20, 200], [3, 30, 300]], [[4, 40, 400], [5, 50, 500], [6, 60, 600]], [[7, 70, 700], [8, 80, 800], [9, 90, 900]]]) aw = awkward0.fromiter(np) assert np.tolist() == aw.tolist() assert np[:2].tolist() == aw[:2].tolist() assert np[:2, :2].tolist() == aw[:2, :2].tolist() assert np[:2, 2].tolist() == aw[:2, 2].tolist() assert np[2, :2].tolist() == aw[2, :2].tolist() assert np[:2, [0, 1]].tolist() == aw[:2, [0, 1]].tolist() assert np[[0, 1], :2].tolist() == aw[[0, 1], :2].tolist() assert np[:2, [0, 1, 2]].tolist() == aw[:2, [0, 1, 2]].tolist() assert np[[0, 1, 2], :2].tolist() == aw[[0, 1, 2], :2].tolist() assert np[[0, 1], [0, 1]].tolist() == aw[[0, 1], [0, 1]].tolist() assert np[[0, 1, 2], [0, 1, 2]].tolist() == aw[[0, 1, 2], [0, 1, 2]].tolist() assert np[:2, [True, False, True]].tolist() == aw[:2, [True, False, True]].tolist() assert np[[True, False, True], :2].tolist() == aw[[True, False, True], :2].tolist() assert np[[True, False, True], [True, False, True]].tolist() == aw[[True, False, True], [True, False, True]].tolist() assert np[:2, :2, 0].tolist() == aw[:2, :2, 0].tolist() assert np[:2, 2, 0].tolist() == aw[:2, 2, 0].tolist() assert np[2, :2, 0].tolist() == aw[2, :2, 0].tolist() assert np[:2, [0, 1], 0].tolist() == aw[:2, [0, 1], 0].tolist() assert np[[0, 1], :2, 0].tolist() == aw[[0, 1], :2, 0].tolist() assert np[:2, [0, 1, 2], 0].tolist() == aw[:2, [0, 1, 2], 0].tolist() assert np[[0, 1, 2], :2, 0].tolist() == aw[[0, 1, 2], :2, 0].tolist() assert np[[0, 1], [0, 1], 0].tolist() == aw[[0, 1], [0, 1], 0].tolist() assert np[[0, 1, 2], [0, 1, 2], 0].tolist() == aw[[0, 1, 2], [0, 1, 2], 0].tolist() assert np[:2, [True, False, True], 0].tolist() == aw[:2, [True, False, True], 0].tolist() assert np[[True, False, True], :2, 0].tolist() == aw[[True, False, True], :2, 0].tolist() assert np[[True, False, True], [True, False, True], 0].tolist() == aw[[True, False, True], [True, False, True], 0].tolist() assert np[:2, :2, 1].tolist() == aw[:2, :2, 1].tolist() assert np[:2, 2, 1].tolist() == aw[:2, 2, 1].tolist() assert np[2, :2, 1].tolist() == aw[2, :2, 1].tolist() assert np[:2, [0, 1], 1].tolist() == aw[:2, [0, 1], 1].tolist() assert np[[0, 1], :2, 1].tolist() == aw[[0, 1], :2, 1].tolist() assert np[:2, [0, 1, 2], 1].tolist() == aw[:2, [0, 1, 2], 1].tolist() assert np[[0, 1, 2], :2, 1].tolist() == aw[[0, 1, 2], :2, 1].tolist() assert np[[0, 1], [0, 1], 1].tolist() == aw[[0, 1], [0, 1], 1].tolist() assert np[[0, 1, 2], [0, 1, 2], 1].tolist() == aw[[0, 1, 2], [0, 1, 2], 1].tolist() assert np[:2, [True, False, True], 1].tolist() == aw[:2, [True, False, True], 1].tolist() assert np[[True, False, True], :2, 1].tolist() == aw[[True, False, True], :2, 1].tolist() assert np[[True, False, True], [True, False, True], 1].tolist() == aw[[True, False, True], [True, False, True], 1].tolist()

57.962025

158

0.481109

754

4,579

2.919098

0.088859

0.058155

0.318037

0.177192

0.894139

0.844162

0.752385

0.665152

0.607906

0

0.109531

0.232365

4,579

78

159

58.705128

0.516643

0.023586

0

0.46875

0

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1

0.03125

false

0.015625

0.046875

0

0.09375

0.015625

0

null

0

1

0

1

0

null

0

1

0

8

e72b38dc0ffb26d33e89fe5da8d51fd9b287e94f

4,465

py

Python

templates/handlers.py

hubenchang0515/AutoCRUD

0a8b9a59506dac4f6118fd6d7404d02aa8b09481

[ "MIT" ]

null

templates/handlers.py

hubenchang0515/AutoCRUD

0a8b9a59506dac4f6118fd6d7404d02aa8b09481

[ "MIT" ]

null

templates/handlers.py

hubenchang0515/AutoCRUD

0a8b9a59506dac4f6118fd6d7404d02aa8b09481

[ "MIT" ]

null

########################################### # Generated by AutoCRUD # # # # This file is used to create public # # handlers # ########################################### from flask import Flask, request, jsonify from common import app, db, getJson from .methods import * @app.route("/api/{{MODULE_NAME.lower()}}/create", methods=["POST"]) def handler_create_{{MODULE_NAME}}(): try: json = getJson() {%- for COLUMN in COLUMNS %} {{ COLUMN["name"] }} = json['{{COLUMN["name"]}}'] {%- endfor %} ret = create_{{MODULE_NAME}}( {%- for COLUMN in COLUMNS %} {{ COLUMN["name"] }} {%- if not loop.last -%} , {%- endif -%} {%- endfor %} ) return toJson(ret) except Exception as e: print(e) return toJson({"error": repr(e)}) @app.route("/api/{{MODULE_NAME.lower()}}/delete", methods=["POST"]) def handler_delete_{{MODULE_NAME}}(): try: json = getJson() id = json["id"] ret = delete_{{MODULE_NAME}}(id) return toJson(ret) except Exception as e: print(e) return toJson({"error": repr(e)}) @app.route("/api/{{MODULE_NAME.lower()}}/update", methods=["POST"]) def handler_update_{{MODULE_NAME}}(): try: json = getJson() id = json["id"] {%- for COLUMN in COLUMNS %} {{ COLUMN["name"] }} = json['{{COLUMN["name"]}}'] {%- endfor %} ret = update_{{MODULE_NAME}}( id, {%- for COLUMN in COLUMNS %} {{ COLUMN["name"] }} {%- if not loop.last -%} , {%- endif -%} {%- endfor %} ) return toJson(ret) except Exception as e: print(e) return toJson({"error": repr(e)}) @app.route("/api/{{MODULE_NAME.lower()}}/get", methods=["POST"]) def handler_get_{{MODULE_NAME}}(): try: json = getJson() id = json["id"] ret = get_{{MODULE_NAME}}(id) return toJson(ret) except Exception as e: print(e) return toJson({"error": repr(e)}) @app.route("/api/{{MODULE_NAME.lower()}}/list", methods=["POST"]) def handler_list_{{MODULE_NAME}}(): try: json = getJson({"page":1, "perPage":10}) page = json["page"] perPage = json["perPage"] ret = list_{{MODULE_NAME}}(page, perPage) return toJson(ret) except Exception as e: print(e) return toJson({"error": repr(e)}) {% for COLUMN in COLUMNS -%} {%- if not COLUMN["props"]["private"] -%} @app.route("/api/{{MODULE_NAME.lower()}}/find_by_{{ COLUMN["name"] }}", methods=["POST"]) def handler_find_{{MODULE_NAME}}_by_{{ COLUMN["name"] }}(): try: json = getJson({"page":1, "perPage":10}) page = json["page"] perPage = json["perPage"] {{ COLUMN["name"] }} = json["{{ COLUMN["name"] }}"] ret = find_{{MODULE_NAME}}_by_{{ COLUMN["name"] }}({{ COLUMN["name"] }}, page, perPage) return toJson(ret) except Exception as e: print(e) return toJson({"error": repr(e)}) {%- endif %} {% endfor %} {% for COLUMN in COLUMNS -%} {%- if not COLUMN["props"]["private"] -%} @app.route("/api/{{MODULE_NAME.lower()}}/search_by_{{ COLUMN["name"] }}", methods=["POST"]) def handler_search_{{MODULE_NAME}}_by_{{ COLUMN["name"] }}(): try: json = getJson({"page":1, "perPage":10}) page = json["page"] perPage = json["perPage"] {{ COLUMN["name"] }} = json["{{ COLUMN["name"] }}"] ret = search_{{MODULE_NAME}}_by_{{ COLUMN["name"] }}({{ COLUMN["name"] }}, page, perPage) return toJson(ret) except Exception as e: print(e) return toJson({"error": repr(e)}) {%- endif %} {% endfor %} {% for COLUMN in COLUMNS -%} {%- if not COLUMN["props"]["private"] -%} @app.route("/api/{{MODULE_NAME.lower()}}/update_{{ COLUMN["name"] }}", methods=["POST"]) def handler_update_{{MODULE_NAME}}_prop_{{ COLUMN["name"] }}(): try: json = getJson() id = json["id"] {{ COLUMN["name"] }} = json["{{ COLUMN["name"] }}"] ret = update_{{MODULE_NAME}}_prop_{{ COLUMN["name"] }}(id, {{ COLUMN["name"] }}) return toJson(ret) except Exception as e: print(e) return toJson({"error": repr(e)}) {%- endif %} {% endfor %}

32.355072

97

0.505039

482

4,465

4.543568

0.134855

0.109589

0.040183

0.0621

0.848402

0.834703

0.778539

0.700913

0.686301

0.654338

0

0.002778

0.274356

4,465

138

98

32.355072

0.673148

0.029339

0

0.735537

1

0

0.153992

0.068441

0

null

0

0.024793

null

0.066116

0

null

0

1

0

1

0

1

0

null

0

1

0

8

e756726c46f7469eaac90628168168163e6f6d3b

123

py

Python

tests/__init__.py

barroca/prime-number-table

96704cde4cf889ba254f882d91756ed685aae685

[ "MIT" ]

null

tests/__init__.py

barroca/prime-number-table

96704cde4cf889ba254f882d91756ed685aae685

[ "MIT" ]

null

tests/__init__.py

barroca/prime-number-table

96704cde4cf889ba254f882d91756ed685aae685

[ "MIT" ]

null

from tests.test_prime_number_generator import PrimeNumberGeneratorTest from tests.test_prime_matrix import PrimeMatrixTest

41

70

0.918699

15

123

7.2

0.666667

0.166667

0.240741

0.333333

0

0.065041

123

2

71

61.5

0.93913

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

99b06ff4e413535fff430d1fb4650a9be9a45258

104

py

Python

torch_burn/traininer/__init__.py

Kitsunetic/torch_burn

08810bc429ba793cbcfe7d3a997e9ffdc724f7b5

[ "MIT" ]

null

torch_burn/traininer/__init__.py

Kitsunetic/torch_burn

08810bc429ba793cbcfe7d3a997e9ffdc724f7b5

[ "MIT" ]

null

torch_burn/traininer/__init__.py

Kitsunetic/torch_burn

08810bc429ba793cbcfe7d3a997e9ffdc724f7b5

[ "MIT" ]

null

from .predict import Predictor from .trainer2 import Trainer2 from .trainer2 import Trainer2 as Trainer

26

41

0.836538

14

104

6.214286

0.5

0.275862

0.413793

0.597701

0

0.044444

0.134615

104

3

42

34.666667

0.922222

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

99b4e9f2f3a6eb8c2d9b8ef0823929c44e500265

122

py

Python

src/Classification/knn.py

yangbochang/FoolishMachineLearning

41a3e6cff7e9630914be55ec91d43aed7e188c82

[ "MIT" ]

null

src/Classification/knn.py

yangbochang/FoolishMachineLearning

41a3e6cff7e9630914be55ec91d43aed7e188c82

[ "MIT" ]

null

src/Classification/knn.py

yangbochang/FoolishMachineLearning

41a3e6cff7e9630914be55ec91d43aed7e188c82

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ knn """ def run_knn(): ''' run knn ''' print('\n' + '-' * 30 + '\n It\'s knn!')

12.2

44

0.360656

16

122

2.6875

0.6875

0.27907

0

0.035294

0.303279

122

9

45

13.555556

0.470588

0.286885

0

0.130435

0

1

0.5

true

0

0.5

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

7

41449190231a9781c049e6ff6cd7198e2d82840b

132

py

Python

src/models/loss_fn/__init__.py

kryvokhyzha/bert-for-ukranian-ner

48da40f09cb216ad51a97c303998157858fbe8bc

[ "MIT" ]

null

src/models/loss_fn/__init__.py

kryvokhyzha/bert-for-ukranian-ner

48da40f09cb216ad51a97c303998157858fbe8bc

[ "MIT" ]

null

src/models/loss_fn/__init__.py

kryvokhyzha/bert-for-ukranian-ner

48da40f09cb216ad51a97c303998157858fbe8bc

[ "MIT" ]

null

from models.loss_fn.CrossEntropyLossCustom import CrossEntropyLossCustom from models.loss_fn.FocalLossCustom import FocalLossCustom

44

72

0.909091

14

132

8.428571

0.5

0.169492

0.237288

0.271186

0

0.060606

132

2

73

66

0.951613

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

416eff06b20e0bf6312986ae66ee22243ddab566

152

py

Python

confirm/confirm.py

tueda/cli-confirm

7d6d1335c241bdacff058ab826f5b8fc8ecd9a04

[ "MIT" ]

null

confirm/confirm.py

tueda/cli-confirm

7d6d1335c241bdacff058ab826f5b8fc8ecd9a04

[ "MIT" ]

null

confirm/confirm.py

tueda/cli-confirm

7d6d1335c241bdacff058ab826f5b8fc8ecd9a04

[ "MIT" ]

null

"""Function to confirm yes/no.""" import click def confirm(text): # type: (str) -> bool """Confirm yes/no.""" return click.confirm(text)

15.2

33

0.605263

20

152

4.6

0.65

0.217391

0.26087

0

0.210526

152

9

34

16.888889

0.766667

0.421053

0

1

0.333333

false

0

0.333333

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

41c138a1829304e7b6cf03703866609a3fdb7e0b

22,655

py

Python

app/Archived Code for Reference Purposes/market_comp_csv_printer.py

hirokiden/Apprentice-Investor-Tool

37b1deb5374244228e436003dfb17d4d12343672

[ "MIT" ]

1

2019-07-03T14:09:31.000Z

app/Archived Code for Reference Purposes/market_comp_csv_printer.py

hirokiden/Apprentice-Investor-Tool

37b1deb5374244228e436003dfb17d4d12343672

[ "MIT" ]

null

app/Archived Code for Reference Purposes/market_comp_csv_printer.py

hirokiden/Apprentice-Investor-Tool

37b1deb5374244228e436003dfb17d4d12343672

[ "MIT" ]

null

# python market_comp_csv_printer.py import os import requests import json # need this to import json string into dictionary from datetime import datetime # taken from stackoverflow import csv # so you can write date to .csv # Current Time for transaction pull date_time = datetime.now().strftime("%m/%d/%Y, %I:%M:%S%P\n") # Formatted for easy to understand human reading instead of military time # print(date_time) # Also, we know that we are working with $ pricing so let's get the formatting out of the way def usd_format(my_price): return "${0:,.2f}".format(my_price) # This UDF will change numerical denomination to currency and cents (2 digits) format when passed through ###################################### COPY FROM BELOW THIS POINT ##################################################### ###################################### Section to input 3 Valid Tickers ######### print("Please enter three valid stock ticker symbols! As an example, Disney is 'DIS' and AT&T is 'T'. ") print("The financial data for all three companies will print in three .csv files for your use.") while True: user_input_ticker = input() # testuser_input_ticker = input() if user_input_ticker.isdigit() == True: # Attributed this line of code concept to prior shopping cart usage # more details located from https://www.tutorialspoint.com/python/string_isdigit.htm, script concept borrowed from website after research print("Ticker cannot be a number, please try again") elif len(user_input_ticker) > 5: print("Ticker cannot exceed 5 characters, please try again") else: break while True: user_input_ticker2 = input() # testuser_input_ticker = input() if user_input_ticker2.isdigit() == True: # Attributed this line of code concept to prior shopping cart usage print("Ticker cannot be a number, please try again") elif len(user_input_ticker2) > 5: print("Ticker cannot exceed 5 characters, please try again") else: break while True: user_input_ticker3 = input() # testuser_input_ticker = input() if user_input_ticker3.isdigit() == True: # Attributed this line of code concept to prior shopping cart usage # more details located from https://www.tutorialspoint.com/python/string_isdigit.htm, script concept borrowed from website after research print("Ticker cannot be a number, please try again") elif len(user_input_ticker3) > 5: print("Ticker cannot exceed 5 characters, please try again") else: break ###################################### Section to store the 3 companies' data from JSON and also assign appropriate variables batch_financial_statement_request_url = f"https://financialmodelingprep.com/api/v3/financials/income-statement/{user_input_ticker}" #Orig batch_financial_statement_request_url2 = f"https://financialmodelingprep.com/api/v3/financials/income-statement/{user_input_ticker2}" #2 batch_financial_statement_request_url3 = f"https://financialmodelingprep.com/api/v3/financials/income-statement/{user_input_ticker3}" #3 batch_financial_statement_response = requests.get(batch_financial_statement_request_url) #Orig batch_financial_statement_response2 = requests.get(batch_financial_statement_request_url2) #2 batch_financial_statement_response3 = requests.get(batch_financial_statement_request_url3) #3 # print(type(response)) # print(response.status_code) # print(response.text) # This is a string batch_financial_statement_parsed_response = json.loads(batch_financial_statement_response.text) #this converts string format into dictionary #Orig batch_financial_statement_parsed_response2 = json.loads(batch_financial_statement_response2.text) #this converts string format into dictionary #1 batch_financial_statement_parsed_response3 = json.loads(batch_financial_statement_response3.text) #this converts string format into dictionary #2 # print(batch_financial_statement_parsed_response["symbol"]) # print(batch_financial_statement_parsed_response2["symbol"]) # print(batch_financial_statement_parsed_response3["symbol"]) ###################################### Section to ensure that 3 companies' data are properly connected, if not script will gracefully quit try: #Orig batch_financial_statement_parsed_response["symbol"] except: print("Invalid ticker(s), please rerun the script and try again") exit() batch_financial_symbols = batch_financial_statement_parsed_response["symbol"] batch_financial_list = batch_financial_statement_parsed_response["financials"] try: #1 batch_financial_statement_parsed_response2["symbol"] except: print("Invalid ticker(s), please rerun the script and try again") exit() batch_financial_symbols2 = batch_financial_statement_parsed_response2["symbol"] batch_financial_list2 = batch_financial_statement_parsed_response2["financials"] try: #2 batch_financial_statement_parsed_response3["symbol"] except: print("Invalid ticker(s), please rerun the script and try again") exit() batch_financial_symbols3 = batch_financial_statement_parsed_response3["symbol"] batch_financial_list3 = batch_financial_statement_parsed_response3["financials"] ###################################### Section for Testing to ensure all is well # # print(batch_financial_symbols) # print(batch_financial_symbols2) # # print(batch_financial_symbols3) # # print(batch_financial_list) # print(batch_financial_list2) # # print(batch_financial_list3) # # print(str(batch_financial_symbols).upper()) # ############################################################################################## # ######################################################### Loop Terminal Printing Testing Area # # for i in batch_financial_list: # # # # print(i["date"], i["Revenue"], i["Revenue Growth"], i["Cost of Revenue"], i["Gross Profit"], # # # # i["R&D Expenses"], i["SG&A Expense"], i["Operating Expenses"] , i["Operating Income"], i["Interest Expense"], i["Earnings before Tax"], # # # # i["Income Tax Expense"], i["Net Income"], i["EPS"], i["EPS Diluted"], i["Dividend per Share"], i["Gross Margin"], i["EBITDA Margin"], i["EBIT Margin"], # # # # i["Profit Margin"], i["Free Cash Flow margin"], i["EBITDA"], i[ "EBIT"], i["Consolidated Income"], i["Earnings Before Tax Margin"], i["Net Profit Margin"] # # # # ) # # financial_statement_date = i["date"] # # # financial_statement_revenue = i["Revenue"] # # # financial_statement_revenue_growth = i["Revenue Growth"] # # # financial_statement_cost_revenue = i["Cost of Revenue"] # # # financial_statement_gross_profit = i["Gross Profit"] # # # financial_statement_rd_exp = i["R&D Expenses"] # # # financial_statement_sga_exp = i["SG&A Expense"] # # # financial_statement_op_exp = i["Operating Expenses"] # # # financial_statement_op_income = i["Operating Income"] # # # financial_statement_int_exp = i["Interest Expense"] # # financial_statement_earning_b4_tax = i["Earnings before Tax"] # # financial_statement_income_tax_exp = i["Income Tax Expense"] # # financial_statement_net_income = i["Net Income"] # # financial_statement_eps = i["EPS"] # # financial_statement_eps_diluted = i["EPS Diluted"] # # financial_statement_dividend_per_share = i["Dividend per Share"] # # financial_statement_gross_margin = i["Gross Margin"] # # financial_statement_ebitda_margin = i["EBITDA Margin"] # # financial_statement_ebit_margin = i["EBIT Margin"] # # financial_statement_profit_margin = i["Profit Margin"] # # financial_statement_free_cash_flow_margin = i["Free Cash Flow margin"] # # financial_statement_ebidtda = i["EBITDA"] # # financial_statement_ebit = i[ "EBIT"] # # financial_statement_consolidated_income = i[ "EBIT"] # # financial_statement_earnings_b4_tax_margin = i["Earnings Before Tax Margin"] # # financial_statement_net_profit_margin = i["Net Profit Margin"] # # print(financial_statement_date) # # print(financial_statement_revenue) # # print(financial_statement_revenue_growth) # # print(financial_statement_cost_revenue) # # print(financial_statement_gross_profit) # # print(financial_statement_rd_exp) # # print(financial_statement_sga_exp) # # print(financial_statement_op_exp) # # print(financial_statement_op_income) # # print(financial_statement_int_exp) # # print(financial_statement_earning_b4_tax) # # print(financial_statement_income_tax_exp) # # print(financial_statement_net_income) # # print(financial_statement_eps) # # print(financial_statement_eps_diluted) # # print(financial_statement_dividend_per_share) # # print(financial_statement_gross_margin) # # print(financial_statement_ebitda_margin) # # print( financial_statement_ebit_margin) # # print(financial_statement_profit_margin) # # print(financial_statement_free_cash_flow_margin) # # print(financial_statement_ebidtda) # # print(financial_statement_ebit) # # print(financial_statement_consolidated_income) # # print(financial_statement_earnings_b4_tax_margin) # print(financial_statement_net_profit_margin) ##################### Creating .CSV File Paths for the 3 Stock Inputs ############## # csv_file_path = os.path.join(os.path.dirname(__file__), "..", "data", "company1financials.csv") # a relative filepath # # connect script to the .csv file located in the 'data' file # # prior examples had ".." --> this means go above one directory. since .py file is in a separate folder 'app', we have to use ".." csv_file_path = os.path.join(os.path.dirname(__file__), "..", "data", "company1financials.csv") # a relative filepath csv_file_path2 = os.path.join(os.path.dirname(__file__), "..", "data", "company2financials.csv") # a relative filepath csv_file_path3 = os.path.join(os.path.dirname(__file__), "..", "data", "company3financials.csv") # a relative filepath # ##################### Input 1 #################################################### with open(csv_file_path, "w") as csv_file: # "w" means "open the file for writing" csv_headers = ["Ticker", "Date", "Revenue", "Revenue Growth", "Cost of Revenue", "Gross Profit", "R&D Expenses", "SG&A Expenses", "Operating Expenses", "Operating Income", "Interest Expense", "Earning before Tax", "Income Tax Expense", "Income Tax Expense", "Net Income", "EPS", "EPS Diluted", "Dividend per Share", "Gross Margin", "EBITDA Margin", "EBIT Margins", "Profit Margin", "Free Cash Flow Margin", "EBITDA", "EBIT", "Earnings Before Tax Margin", "Net Profit Margin" ] # list out each of the headers via variable writer = csv.DictWriter(csv_file, fieldnames = csv_headers) writer.writeheader() # uses fieldnames set above for i in batch_financial_list: # This loop will take the 1st ticker and output all the details in the loop financial_statement_date = i["date"] financial_statement_revenue = i["Revenue"] financial_statement_revenue_growth = i["Revenue Growth"] financial_statement_cost_revenue = i["Cost of Revenue"] financial_statement_gross_profit = i["Gross Profit"] financial_statement_rd_exp = i["R&D Expenses"] financial_statement_sga_exp = i["SG&A Expense"] financial_statement_op_exp = i["Operating Expenses"] financial_statement_op_income = i["Operating Income"] financial_statement_int_exp = i["Interest Expense"] financial_statement_earning_b4_tax = i["Earnings before Tax"] financial_statement_income_tax_exp = i["Income Tax Expense"] financial_statement_net_income = i["Net Income"] financial_statement_eps = i["EPS"] financial_statement_eps_diluted = i["EPS Diluted"] financial_statement_dividend_per_share = i["Dividend per Share"] financial_statement_gross_margin = i["Gross Margin"] financial_statement_ebitda_margin = i["EBITDA Margin"] financial_statement_ebit_margin = i["EBIT Margin"] financial_statement_profit_margin = i["Profit Margin"] financial_statement_free_cash_flow_margin = i["Free Cash Flow margin"] financial_statement_ebidtda = i["EBITDA"] financial_statement_ebit = i[ "EBIT"] financial_statement_consolidated_income = i[ "EBIT"] financial_statement_earnings_b4_tax_margin = i["Earnings Before Tax Margin"] financial_statement_net_profit_margin = i["Net Profit Margin"] writer.writerow({ "Ticker": str(batch_financial_symbols).upper(), #capitalized the user stock ticker input 1 "Date": financial_statement_date, "Revenue": financial_statement_revenue, "Revenue Growth": financial_statement_revenue_growth, "Cost of Revenue": financial_statement_cost_revenue, "Gross Profit": financial_statement_gross_profit, "R&D Expenses": financial_statement_rd_exp, "SG&A Expenses": financial_statement_sga_exp, "Operating Expenses": financial_statement_op_exp, "Operating Income": financial_statement_op_income, "Interest Expense": financial_statement_int_exp, "Earning before Tax": financial_statement_earning_b4_tax, "Income Tax Expense": financial_statement_income_tax_exp, "Net Income": financial_statement_net_income, "EPS": financial_statement_eps, "EPS Diluted": financial_statement_eps_diluted, "Dividend per Share": financial_statement_dividend_per_share, "Gross Margin": financial_statement_gross_margin, "EBITDA Margin": financial_statement_ebitda_margin, "EBIT Margins": financial_statement_ebit_margin, "Profit Margin": financial_statement_profit_margin, "Free Cash Flow Margin": financial_statement_free_cash_flow_margin, "EBITDA": financial_statement_ebidtda, "EBIT": financial_statement_ebit, "Earnings Before Tax Margin": financial_statement_earnings_b4_tax_margin, "Net Profit Margin": financial_statement_net_profit_margin, }) ##################### Input 2 #################################################### with open(csv_file_path2, "w") as csv_file2: # "w" means "open the file for writing" csv_headers = ["Ticker", "Date", "Revenue", "Revenue Growth", "Cost of Revenue", "Gross Profit", "R&D Expenses", "SG&A Expenses", "Operating Expenses", "Operating Income", "Interest Expense", "Earning before Tax", "Income Tax Expense", "Income Tax Expense", "Net Income", "EPS", "EPS Diluted", "Dividend per Share", "Gross Margin", "EBITDA Margin", "EBIT Margins", "Profit Margin", "Free Cash Flow Margin", "EBITDA", "EBIT", "Earnings Before Tax Margin", "Net Profit Margin" ] # list out each of the headers via variable writer = csv.DictWriter(csv_file2, fieldnames = csv_headers) writer.writeheader() # uses fieldnames set above for i in batch_financial_list2: # This loop will take the 2nd ticker and output all the details in the loop financial_statement_date = i["date"] financial_statement_revenue = i["Revenue"] financial_statement_revenue_growth = i["Revenue Growth"] financial_statement_cost_revenue = i["Cost of Revenue"] financial_statement_gross_profit = i["Gross Profit"] financial_statement_rd_exp = i["R&D Expenses"] financial_statement_sga_exp = i["SG&A Expense"] financial_statement_op_exp = i["Operating Expenses"] financial_statement_op_income = i["Operating Income"] financial_statement_int_exp = i["Interest Expense"] financial_statement_earning_b4_tax = i["Earnings before Tax"] financial_statement_income_tax_exp = i["Income Tax Expense"] financial_statement_net_income = i["Net Income"] financial_statement_eps = i["EPS"] financial_statement_eps_diluted = i["EPS Diluted"] financial_statement_dividend_per_share = i["Dividend per Share"] financial_statement_gross_margin = i["Gross Margin"] financial_statement_ebitda_margin = i["EBITDA Margin"] financial_statement_ebit_margin = i["EBIT Margin"] financial_statement_profit_margin = i["Profit Margin"] financial_statement_free_cash_flow_margin = i["Free Cash Flow margin"] financial_statement_ebidtda = i["EBITDA"] financial_statement_ebit = i[ "EBIT"] financial_statement_consolidated_income = i[ "EBIT"] financial_statement_earnings_b4_tax_margin = i["Earnings Before Tax Margin"] financial_statement_net_profit_margin = i["Net Profit Margin"] writer.writerow({ "Ticker": str(batch_financial_symbols2).upper(), #capitalized the user stock ticker input 2 "Date": financial_statement_date, "Revenue": financial_statement_revenue, "Revenue Growth": financial_statement_revenue_growth, "Cost of Revenue": financial_statement_cost_revenue, "Gross Profit": financial_statement_gross_profit, "R&D Expenses": financial_statement_rd_exp, "SG&A Expenses": financial_statement_sga_exp, "Operating Expenses": financial_statement_op_exp, "Operating Income": financial_statement_op_income, "Interest Expense": financial_statement_int_exp, "Earning before Tax": financial_statement_earning_b4_tax, "Income Tax Expense": financial_statement_income_tax_exp, "Net Income": financial_statement_net_income, "EPS": financial_statement_eps, "EPS Diluted": financial_statement_eps_diluted, "Dividend per Share": financial_statement_dividend_per_share, "Gross Margin": financial_statement_gross_margin, "EBITDA Margin": financial_statement_ebitda_margin, "EBIT Margins": financial_statement_ebit_margin, "Profit Margin": financial_statement_profit_margin, "Free Cash Flow Margin": financial_statement_free_cash_flow_margin, "EBITDA": financial_statement_ebidtda, "EBIT": financial_statement_ebit, "Earnings Before Tax Margin": financial_statement_earnings_b4_tax_margin, "Net Profit Margin": financial_statement_net_profit_margin, }) ##################### Input 3 #################################################### with open(csv_file_path3, "w") as csv_file3: # "w" means "open the file for writing" csv_headers = ["Ticker", "Date", "Revenue", "Revenue Growth", "Cost of Revenue", "Gross Profit", "R&D Expenses", "SG&A Expenses", "Operating Expenses", "Operating Income", "Interest Expense", "Earning before Tax", "Income Tax Expense", "Income Tax Expense", "Net Income", "EPS", "EPS Diluted", "Dividend per Share", "Gross Margin", "EBITDA Margin", "EBIT Margins", "Profit Margin", "Free Cash Flow Margin", "EBITDA", "EBIT", "Earnings Before Tax Margin", "Net Profit Margin" ] # list out each of the headers via variable writer = csv.DictWriter(csv_file3, fieldnames = csv_headers) writer.writeheader() # uses fieldnames set above for i in batch_financial_list3: # This loop will take the 3rd ticker and output all the details in the loop financial_statement_date = i["date"] financial_statement_revenue = i["Revenue"] financial_statement_revenue_growth = i["Revenue Growth"] financial_statement_cost_revenue = i["Cost of Revenue"] financial_statement_gross_profit = i["Gross Profit"] financial_statement_rd_exp = i["R&D Expenses"] financial_statement_sga_exp = i["SG&A Expense"] financial_statement_op_exp = i["Operating Expenses"] financial_statement_op_income = i["Operating Income"] financial_statement_int_exp = i["Interest Expense"] financial_statement_earning_b4_tax = i["Earnings before Tax"] financial_statement_income_tax_exp = i["Income Tax Expense"] financial_statement_net_income = i["Net Income"] financial_statement_eps = i["EPS"] financial_statement_eps_diluted = i["EPS Diluted"] financial_statement_dividend_per_share = i["Dividend per Share"] financial_statement_gross_margin = i["Gross Margin"] financial_statement_ebitda_margin = i["EBITDA Margin"] financial_statement_ebit_margin = i["EBIT Margin"] financial_statement_profit_margin = i["Profit Margin"] financial_statement_free_cash_flow_margin = i["Free Cash Flow margin"] financial_statement_ebidtda = i["EBITDA"] financial_statement_ebit = i[ "EBIT"] financial_statement_consolidated_income = i[ "EBIT"] financial_statement_earnings_b4_tax_margin = i["Earnings Before Tax Margin"] financial_statement_net_profit_margin = i["Net Profit Margin"] writer.writerow({ "Ticker": str(batch_financial_symbols3).upper(), #capitalized the user stock ticker input 3 "Date": financial_statement_date, "Revenue": financial_statement_revenue, "Revenue Growth": financial_statement_revenue_growth, "Cost of Revenue": financial_statement_cost_revenue, "Gross Profit": financial_statement_gross_profit, "R&D Expenses": financial_statement_rd_exp, "SG&A Expenses": financial_statement_sga_exp, "Operating Expenses": financial_statement_op_exp, "Operating Income": financial_statement_op_income, "Interest Expense": financial_statement_int_exp, "Earning before Tax": financial_statement_earning_b4_tax, "Income Tax Expense": financial_statement_income_tax_exp, "Net Income": financial_statement_net_income, "EPS": financial_statement_eps, "EPS Diluted": financial_statement_eps_diluted, "Dividend per Share": financial_statement_dividend_per_share, "Gross Margin": financial_statement_gross_margin, "EBITDA Margin": financial_statement_ebitda_margin, "EBIT Margins": financial_statement_ebit_margin, "Profit Margin": financial_statement_profit_margin, "Free Cash Flow Margin": financial_statement_free_cash_flow_margin, "EBITDA": financial_statement_ebidtda, "EBIT": financial_statement_ebit, "Earnings Before Tax Margin": financial_statement_earnings_b4_tax_margin, "Net Profit Margin": financial_statement_net_profit_margin, })

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166

0.699316

2,711

22,655

5.525267

0.10734

0.27879

0.068896

0.022832

0.816877

0.763068

0.718473

0.70225

0.690099

0

0.005335

0.180976

22,655

468

167

48.40812

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0.282189

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0

1

0

1

0

1

0

null

0

7

68e56edd8cd5b78dd277a63a1b077a081edc3eef

236

py

Python

run.py

MarlaWillemse/sales-forecast

d9d2d4d591eeba57375694acd1720c345f29c7ee

[ "MIT" ]

1

2020-11-13T06:07:27.000Z

run.py

MarlaWillemse/sales-forecast

d9d2d4d591eeba57375694acd1720c345f29c7ee

[ "MIT" ]

null

run.py

MarlaWillemse/sales-forecast

d9d2d4d591eeba57375694acd1720c345f29c7ee

[ "MIT" ]

null

from preprocessing.data_utils import * import sys from preprocessing.data_prep1 import * from preprocessing.xgboost_data import * from models.xgboost_tune import * from models.xgboost_preds import * from create_report.md_func import *

26.222222

40

0.834746

33

236

5.757576

0.454545

0.210526

0.221053

0.242105

0

0.004785

0.114407

236

8

41

29.5

0.904306

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

68fb94fdabbfeb9028407eb3272f3c551e44a51c

148

py

Python

robinhood/__init__.py

ChrisSowards/Robinhood

76056dcf922e66ebca60f2f70bfc1f5c1d203d7b

[ "MIT" ]

1

2020-06-18T18:08:32.000Z

robinhood/__init__.py

ChrisSowards/Robinhood

76056dcf922e66ebca60f2f70bfc1f5c1d203d7b

[ "MIT" ]

null

robinhood/__init__.py

ChrisSowards/Robinhood

76056dcf922e66ebca60f2f70bfc1f5c1d203d7b

[ "MIT" ]

null

import six if six.PY3: from .trader import Trader else: from .trader import Trader from . import endpoints from . import crypto_endpoints

14.8

30

0.743243

21

148

5.190476

0.428571

0.183486

0.293578

0.40367

0

0.008547

0.209459

148

9

31

16.444444

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true

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null

0

1

0

1

0

1

0

7

68fca2440bbc4f490c504eb96997854efc2271ae

676,716

py

Python

hyper_resource/tests.py

IDEHCO3/kanban-backend

902732f0fd569627925356d6b9d68a5ec7680b88

[ "MIT" ]

null

hyper_resource/tests.py

IDEHCO3/kanban-backend

902732f0fd569627925356d6b9d68a5ec7680b88

[ "MIT" ]

null

hyper_resource/tests.py

IDEHCO3/kanban-backend

902732f0fd569627925356d6b9d68a5ec7680b88

[ "MIT" ]

null

import django import rest_framework #from rest_framework import generics #from rest_framework.response import Response #from rest_framework.views import APIView #from rest_framework import permissions #from rest_framework import permissions from django.contrib.gis.geos import Point from django.test import TestCase # Create your tests here. from django.contrib.gis.db import models from hyper_resource.models import FeatureModel, FactoryComplexQuery from hyper_resource.contexts import * from hyper_resource.resources.AbstractResource import AbstractResource from hyper_resource.resources.FeatureCollectionResource import FeatureCollectionResource from hyper_resource.resources.AbstractCollectionResource import AbstractCollectionResource from hyper_resource.resources.CollectionResource import CollectionResource from django.contrib.gis.geos import GEOSGeometry from django.test import SimpleTestCase from controle.views import UsuarioList, UsuarioDetail from controle.models import Usuario import json import requests from django.http import HttpResponse from django.shortcuts import get_object_or_404 from django.test.runner import DiscoverRunner #import os #os.environ['DJANGO_SETTINGS_MODULE'] = 'bc_edgv.settings' #django.setup() #python manage.py test bcim.test_utils --testrunner=bcim.test_utils.NoDbTestRunner #python manage.py test hyper_resource.tests --testrunner=hyper_resource.tests.NoDbTestRunner from django.contrib.gis.db.models import Q HOST = 'luc00557196:8000/' class NoDbTestRunner(DiscoverRunner): """ A test runner to test without database creation/deletion """ def setup_databases(self, **kwargs): pass def teardown_databases(self, old_config, **kwargs): pass class Ponto(FeatureModel): id_objeto = models.IntegerField(primary_key=True) geom = models.PointField(blank=True, null=True) class Linha(FeatureModel): id_objeto = models.IntegerField(primary_key=True) geom = models.LineStringField(blank=True, null=True) class Poligono(FeatureModel): id_objeto = models.IntegerField(primary_key=True) geom = models.PolygonField(blank=True, null=True) class Geometria(FeatureModel): id_objeto = models.IntegerField(primary_key=True) geom = models.GeometryField(blank=True, null=True) ## ativando virtual environment em: source ~/desenv/env/env_bc_edgv/bin/activate ## Testando # python manage.py test hyper_resource.tests --testrunner=hyper_resource.tests.NoDbTestRunner ## #python manage.py test bcim.test_utils --testrunner=bcim.test_utils.NoDbTestRunner #python manage.py test hyper_resource.tests --testrunner=hyper_resource.tests.NoDbTestRunner from django.test import SimpleTestCase #from bcim.utils import APIViewHypermedia #python manage.py test app --testrunner=app.filename.NoDbTestRunner #python manage.py test bcim.tests --testrunner=bcim.tests.NoDbTestRunner #python manage.py test hyper_resource.tests --testrunner=hyper_resource.tests.NoDbTestRunner from bcim.models import ModeloTeste class ModelTest(models.Model): id_objeto = models.IntegerField(primary_key=True) nome = models.CharField(max_length=100, blank=True, null=True) nomeabrev = models.CharField(max_length=50, blank=True, null=True) geometriaaproximada = models.CharField(max_length=3, blank=True, null=True) operacional = models.CharField(max_length=12, blank=True, null=True) situacaofisica = models.TextField(blank=True, null=True) tipopostofisc = models.CharField(max_length=22, blank=True, null=True) geometry = models.GeometryField(blank=True, null=True) polygon = models.PolygonField(blank=True, null=True) lineString = models.LineStringField(blank=True, null=True) point = models.PointField(blank=True, null=True) multipolygon = models.MultiPolygonField(blank=True, null=True) class TesteResource(AbstractResource): def __init__(self, a_name, params, answer): self.name = a_name self.parameters = params self.return_type = answer class FeatureModelTestCase(SimpleTestCase): def setUp(self): self.ponto = Ponto() self.linha = Linha() self.poligono = Poligono() self.geometria = Geometria() def url_feature(self): return '' def test_get_geometry_type(self): self.assertEquals(self.ponto.get_geometry_type(), Point) def test_fields(self): self.assertEquals(self.ponto.fields()[0].name, 'id_objeto') class AbstractResourceTestCase(SimpleTestCase): def setUp(self): self.tr = TesteResource('name', 'parameters', 'answer') self.ar = AbstractCollectionResource() def test_attributes(self): pass def test_operations(self): pass def test_remove_last_slash(self): self.assertEquals(self.ar.remove_last_slash('within/__tokenurl__1/collect/geom/buffer/0.2/'), 'within/__tokenurl__1/collect/geom/buffer/0.2') self.assertEquals(self.ar.remove_last_slash('within/__tokenurl__1/collect/geom/buffer/0.2'), 'within/__tokenurl__1/collect/geom/buffer/0.2') self.assertEquals(self.ar.remove_last_slash('within/__tokenurl__1/collect/geom/buffer/0.2 '), 'within/__tokenurl__1/collect/geom/buffer/0.2') def test_attribute_functions_str_splitted_by_slash(self): res = self.ar.attribute_functions_str_splitted_by_slash('within/http://172.30.10.86:8000/ibge/bcim/municipios/3159407/*collect/geom/buffer/0.2/intersects/https://172.30.10.86:8000/instituicoes/bcim/estado/rj/*') self.assertEquals(res[0], 'within') self.assertEquals(res[1], 'http://172.30.10.86:8000/ibge/bcim/municipios/3159407/') self.assertEquals(res[2], '*collect') self.assertEquals(res[3], 'geom') self.assertEquals(res[4], 'buffer') self.assertEquals(res[5], '0.2') self.assertEquals(res[6], 'intersects') self.assertEquals(res[7], 'https://172.30.10.86:8000/instituicoes/bcim/estado/rj/') class SpatialResourceTest(SimpleTestCase): def test_attributeContextualized(self): pass ''' class FeatureResourceTest(SimpleTestCase): def test_basic_get(self): pass def test_options_url_without_parameters(self): pass def test_options_url_with_only_attributes(self): pass def test_options_url_with_only_one_attribute(self): pass def test_options_url_with_spatia_functions(self): pass ''' class FactoryComplexQueryTest(SimpleTestCase): def setUp(self): self.fcq = FactoryComplexQuery() def test_q_object_for_in(self): q = self.fcq.q_object_for_in(str,'sigla', ['ES,RJ']) self.assertEquals(Q(sigla__in=['ES,RJ']).__repr__(), q.__repr__()) def test_q_object_for_eq(self): q = self.fcq.q_object_for_eq(str,'sigla', 'ES') self.assertEquals(Q(sigla='ES').__repr__(), q.__repr__()) def test_q_object_for_neq(self): q = self.fcq.q_object_for_neq(str, 'sigla', 'ES') self.assertEquals((~Q(sigla='ES')).__repr__(), q.__repr__()) def test_q_object_by_filter_operation(self): attribute_operation_str ='filter/sigla/in/rj,es,go/and/data/between/2017-02-01,2017-06-30/' import datetime start_date = datetime.date(2017, 2, 1) end_date = datetime.date(2017, 6, 30) q = Q(sigla__in=['rj','es','go']) & Q(data__range=(start_date, end_date)) model_class = ModeloTeste self.fcq.q_object_serialized_by_filter_operation(attribute_operation_str, model_class) class AbstractCollectionResourceTestCase(SimpleTestCase): def setUp(self): self.attributes_functions = ['filter/sigla/in/rj,es,go/', 'filter/sigla/uppercase/in/rj,es,go/and/data/between/2017-02-01,2017-06-30/', 'filter/sigla/in/rj,es,go/and/geom/within/{"type":"Polygon","coordinates":[[[-41.881710164667396,-21.297482165015307],[-28.840495695785098,-21.297482165015307],[-28.840495695785098,-17.886950999070834],[-41.881710164667396,-17.886950999070834],[-41.881710164667396,-21.297482165015307]]]}'] self.acr = AbstractCollectionResource() def test_get_operation_name_from_path(self): self.assertEquals(self.acr.get_operation_name_from_path('collect/geom/buffer/0.2'), 'collect') self.assertEquals(self.acr.get_operation_name_from_path('filter/geom/buffer/0.2'), 'filter') self.assertEquals(self.acr.get_operation_name_from_path('filter/geom/containing/http://host/aldeias-indigenas/821/*collect/nome.geom/buffer/0.2'), 'filter_collect') self.assertEquals(self.acr.get_operation_name_from_path('collect/nome&geom/buffer/0.2/containing/http://host/aldeias-indigenas/821/*filter/nome/startswith/rio'), 'collect_filter') self.assertEquals(self.acr.get_operation_name_from_path('count-resource'), 'count-resource') self.assertEquals(self.acr.get_operation_name_from_path('group-by/nome'), 'group-by') self.assertEquals(self.acr.get_operation_name_from_path('group-by-count/nome'), 'group-by-count') self.assertEquals(self.acr.get_operation_name_from_path('distinct'), 'distinct') self.assertEquals(self.acr.get_operation_name_from_path('offset-limit/1&10'), 'offset-limit') self.assertEquals(self.acr.get_operation_name_from_path('nadahaver'), None) def test_attributes_functions_str_is_filter_with_spatial_operation(self): pass """ self.assertTrue(self.acr.attributes_functions_str_is_filter_with_spatial_operation('filter/sigla/in/rj,es,go/and/geom/within/Point(1,2)')) self.assertFalse(self.acr.attributes_functions_str_is_filter_with_spatial_operation('/filter')) self.assertFalse(self.acr.attributes_functions_str_is_filter_with_spatial_operation('/filter/filter')) self.assertFalse(self.acr.attributes_functions_str_is_filter_with_spatial_operation('/filter/ast/eq/ass/geom/within/asd')) self.assertFalse(self.acr.attributes_functions_str_is_filter_with_spatial_operation('/filter/within/eq/asd')) self.assertTrue(self.acr.attributes_functions_str_is_filter_with_spatial_operation('/filter/within/eq/geom/and/geom/within/asd')) self.assertFalse(self.acr.attributes_functions_str_is_filter_with_spatial_operation('/filter/operacao/eq/within')) self.assertTrue(self.acr.attributes_functions_str_is_filter_with_spatial_operation('/filter/eq/within/abxgeom')) self.assertFalse(self.acr.attributes_functions_str_is_filter_with_spatial_operation('/filter/within/eq/abxx')) self.assertFalse(self.acr.attributes_functions_str_is_filter_with_spatial_operation('/within/geom')) self.assertFalse(self.acr.attributes_functions_str_is_filter_with_spatial_operation('/within/filter')) """ def test_attributes_functions_str_splitted_by_slash(self): self.acr.attribute_functions_str_splitted_by_slash('collect/geom/buffer/0.2') == ['collect','geom', 'buffer', '0.2'] self.acr.attribute_functions_str_splitted_by_slash('collect/geom/buffer/0.2/') == ['collect','geom', 'buffer', '0.2'] self.assertEquals(self.acr.attribute_functions_str_splitted_by_slash('collect/geom/buffer/0.2'), ['collect','geom', 'buffer', '0.2']) self.assertEquals(self.acr.attribute_functions_str_splitted_by_slash('collect/geom/buffer/0.2/transform/3005&True/area'), ['collect', 'geom', 'buffer', '0.2', 'transform', '3005&True', 'area']) self.assertEquals(self.acr.attribute_functions_str_splitted_by_slash('offsetLimit/1&10/collect/geom/buffer/0.2'), ['offsetLimit', '1&10', 'collect', 'geom', 'buffer', '0.2']) self.assertEquals(self.acr.attribute_functions_str_splitted_by_slash('within/{"type":"Polygon","coordinates":[[[-48.759514611370854,-28.3426735036349],[-48.631647133384185,-28.3426735036349],[-48.631647133384185,-28.082673631081306],[-48.759514611370854,-28.082673631081306],[-48.759514611370854,-28.3426735036349]]]}/collect/geom/buffer/0.2'), ['within', '{"type":"Polygon","coordinates":[[[-48.759514611370854,-28.3426735036349],[-48.631647133384185,-28.3426735036349],[-48.631647133384185,-28.082673631081306],[-48.759514611370854,-28.082673631081306],[-48.759514611370854,-28.3426735036349]]]}', 'collect', 'geom', 'buffer', '0.2']) self.assertEquals(self.acr.attribute_functions_str_splitted_by_slash('within/http://172.30.10.86:8000/instituicoes/ibge/bcim/municipios/3159407/*collect/geom/buffer/0.2/'), ['within', 'http://172.30.10.86:8000/instituicoes/ibge/bcim/municipios/3159407/', '*collect', 'geom', 'buffer', '0.2']) self.assertEquals(self.acr.attribute_functions_str_splitted_by_slash('within/https://172.30.10.86:8000/instituicoes/ibge/bcim/municipios/3159407/*collect/geom/buffer/0.2'), ['within', 'https://172.30.10.86:8000/instituicoes/ibge/bcim/municipios/3159407/', '*collect', 'geom', 'buffer', '0.2']) self.assertEquals(self.acr.attribute_functions_str_splitted_by_slash('within/http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/*collect/geom/buffer/0.2/within/http://ibge/unidades-federativas/RJ/*'), ['within', 'http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/', '*collect', 'geom', 'buffer', '0.2', 'within','http://ibge/unidades-federativas/RJ/']) self.assertEquals(self.acr.attribute_functions_str_splitted_by_slash('filter/geom/within/http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/*'), ['filter', 'geom', 'within', 'http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/']) self.assertEquals(self.acr.attribute_functions_str_splitted_by_slash('filter/geom/within/http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geom/*and/sigla/eq/http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geocodigo/*'), ['filter', 'geom', 'within', 'http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geom/', '*and', 'sigla', 'eq', 'http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geocodigo/']) self.assertEquals(self.acr.attribute_functions_str_splitted_by_slash('filter/geom/within/http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geom/*collect/collect/eq/http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geocodigo/*'), ['filter', 'geom', 'within', 'http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geom/', '*collect', 'collect', 'eq', 'http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geocodigo/']) # self.assertEquals(self.acr.attribute_functions_str_splitted_by_slash('filter/geom/within/http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geom*/and/geocodigo/eq/http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geocodigo/*/collect/collect/eq/http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geocodigo*'), #['filter', 'geom', 'within', 'http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geom','and','geocodigo','eq','http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geom/and/geocodigo', 'collect', 'collect', 'eq', 'http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geocodigo']) #self.assertEquals(self.acr.attribute_functions_str_splitted_by_slash('within/WWw.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407*/collect/geom/buffer/0.2'), ['filter', 'geom', 'within', 'http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geom', 'and', 'sigla', 'eq', 'http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/geocodigo']) self.assertEquals(self.acr.attribute_functions_str_splitted_by_slash('filter/collect/within/http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/*collect/collect/transform/3005&True/area'),[ 'filter','collect','within','http://www.ibge.gov.br:8080/instituicoes/ibge/bcim/municipios/3159407/','*collect','collect','transform', '3005&True','area'] ) def test_get_generic_operation_name(self): prefix = 'get_objects_from_' suffix = '_operation' operation_name = self.acr.get_generic_operation_name('filter/geom/within/http://luc00557347.ibge.gov.br/ibge/bcim/unidades-federativas/ES/geom/buffer/0.2*/and/fclass/eq/school/*collect/geom/buffer/0.2') self.assertEquals(operation_name, prefix + 'filter_and_collect' + suffix) operation_name = self.acr.get_generic_operation_name('filter/sigla/in/RJ,ES/*collect/geom/transform/3005&True/area') self.assertEquals(operation_name, prefix + 'filter_and_collect' + suffix) operation_name = self.acr.get_generic_operation_name('collect/geom/buffer/0.2/*filter/geom/within/http://luc00557347.ibge.gov.br/ibge/bcim/unidades-federativas/ES/geom/buffer/0.2/and/fclass/eq/school*/') self.assertEquals(operation_name, prefix + 'collect_and_filter' + suffix) operation_name = self.acr.get_generic_operation_name('filter/geom/within/http://luc00557347.ibge.gov.br/ibge/bcim/unidades-federativas/ES/geom/buffer/0.2') self.assertEquals(operation_name, prefix + 'filter' + suffix) operation_name = self.acr.get_generic_operation_name('collect/geom/buffer/0.2') self.assertEquals(operation_name, prefix + 'collect' + suffix) operation_name = self.acr.get_generic_operation_name('groupby/geom/') self.assertEquals(operation_name, prefix + 'groupby' + suffix) operation_name = self.acr.get_generic_operation_name('groupbycount/geom/') self.assertEquals(operation_name, prefix + 'groupbycount' + suffix) operation_name = self.acr.get_generic_operation_name('offsetlimit/1:10/') self.assertEquals(operation_name, prefix + 'offsetlimit' + suffix) operation_name = self.acr.get_generic_operation_name('distinct') self.assertEquals(operation_name, prefix + 'distinct' + suffix) operation_name = self.acr.get_generic_operation_name('countresource') self.assertEquals(operation_name, prefix + 'countresource' + suffix) operation_name = self.acr.get_generic_operation_name('annotate/') self.assertEquals(operation_name, prefix + 'annotate' + suffix) #python manage.py test hyper_resource.tests.FeatureCollectionResourceTest --testrunner=hyper_resource.tests.NoDbTestRunner class FeatureCollectionResourceTest(SimpleTestCase): def setUp(self): self.attributes_functions = [ 'filter/sigla/in/rj,es,go/', 'filter/sigla/uppercase/in/rj,es,go/and/data/between/2017-02-01,2017-06-30/', 'filter/sigla/in/rj,es,go/and/geom/within/{"type":"Polygon","coordinates":[[[-41.881710164667396,-21.297482165015307],[-28.840495695785098,-21.297482165015307],[-28.840495695785098,-17.886950999070834],[-41.881710164667396,-17.886950999070834],[-41.881710164667396,-21.297482165015307]]]}', ] self.fc = FeatureCollectionResource() def test_is_filter_operation(self): self.assertTrue(self.fc.path_has_filter_operation('filter/sigla/in/rj,es,go/and/geom')) self.assertFalse( self.fc.path_has_filter_operation('/filter')) self.assertTrue('filter/sigla/uppercase/in/rj,es,go/and/data/between/2017-02-01,2017-06-30/') """ def test_q_objects_from_filter_operation(self): result = self.fc.q_object_for_filter_expression('filter/sigla/eq/ES') self.assertEquals(result.__repr__(), Q(sigla='ES').__repr__()) result = self.fc.q_object_for_filter_expression('filter/sigla/eq/ES/')[0] self.assertEquals(result.__repr__(), Q(sigla='ES').__repr__()) result = self.fc.q_object_for_filter_expression('filter/sigla/in/ES,RJ')[0] self.assertEquals(result.__repr__(), Q(sigla__in=['ES,RJ']).__repr__()) result = self.fc.q_object_for_filter_expression('filter/sigla/in/ES,RJ/')[0] self.assertEquals(result, Q(sigla__in=['ES,RJ'])) result1 = self.fc.q_object_for_filter_expression('filter/sigla/in/ES,RJ/and/data/between/2017-02-01,2017-06-30')[0] result2 = self.fc.q_object_for_filter_expression('filter/sigla/in/ES,RJ/and/data/between/2017-02-01,2017-06-30')[1] self.assertEquals(result1, Q(sigla__in=['ES,RJ'])) self.assertEquals(result2, Q(data='ES,RJ')) """ def test_transform_path_with_spatial_operation_str_and_url_as_array(self): self.maxDiff = None s = 'geom/contains/http://172.30.10.86:8000/instituicoes/ibge/bcim/municipios/3159407/*or/geom/contains/http://172.30.10.86:8000/instituicoes/ibge/bcim/municipios/3159406' arr = ['geom', 'contains', 'http:','172.30.10.86:8000','instituicoes','ibge','bcim','municipios','3159407', '*or', 'geom', 'contains', 'http:','172.30.10.86:8000','instituicoes','ibge','bcim','municipios','3159406'] arr1 = ['geom', 'contains', 'http://172.30.10.86:8000/instituicoes/ibge/bcim/municipios/3159407/', '*or', 'geom', 'contains', 'http://172.30.10.86:8000/instituicoes/ibge/bcim/municipios/3159406/'] self.assertEquals(len(self.fc.transform_path_with_url_as_array(arr)), len(arr1)) class CollectionResourceTest(SimpleTestCase): def setUp(self): self.host = 'luc00557196.ibge.gov.br:8000/' self.base_uri = "http://" + self.host + "controle-list/" def test_simple_collection_request(self): # requests.get(uri, headers={key: value, key: value}) res = requests.get(self.base_uri + "gasto-list/") self.assertEquals(res.status_code, 200) self.assertEquals(res.headers['content-type'], 'application/json') def test_collection_request_by_attributes(self): res = requests.get(self.base_uri + "gasto-list/id,data,valor") self.assertEquals(res.status_code, 200) self.assertEquals(res.headers['content-type'], 'application/json') def test_distinct_operation_for_collection_resource(self): res = requests.get(self.base_uri + "gasto-list/distinct/data") self.assertEquals(res.status_code, 200) self.assertEquals(res.headers['content-type'], 'application/json') def test_offset_limit_operation_for_collection_resource(self): res = requests.get(self.base_uri + "gasto-list/offsetLimit/2&3") self.assertEquals(res.status_code, 200) self.assertEquals(res.headers['content-type'], 'application/json') """ def test_groupBy_operation_for_collection_resource(self): res = requests.get(self.base_uri + "gasto-list/groupBy/data,valor") self.assertEquals(res.status_code, 200) self.assertEquals(res.headers['content-type'], 'application/json') """ class AbstractRequestTest(SimpleTestCase): def setUp(self): self.bcim_base_uri = "http://" + HOST + "api/bcim/" self.controle_base_uri = "http://" + HOST + "controle-list/" self.raster_base_uri = "http://" + HOST + "raster/" def aux_get_dict_from_response(self, response): return dict( json.loads(response.text) ) def aux_get_keys_from_response(self, response): response_dict = self.aux_get_dict_from_response(response) return sorted( list(response_dict.keys()) ) # todo: this methods below must be moved for "AbstractOptionsRequestTest" class def aux_get_keys_from_response_context(self, response): response_dict = self.aux_get_dict_from_response(response) return sorted( list(response_dict["@context"].keys()) ) def aux_get_keys_from_acontext_attrs(self, response, attr_name): response_dict = self.aux_get_dict_from_response(response) context_dict = response_dict["@context"] return sorted( list( context_dict[attr_name].keys() ) ) class AbstractGetRequestTest(AbstractRequestTest): def setUp(self): super(AbstractGetRequestTest, self).setUp() self.feature_collection_keys = ["features", "type"] self.geometry_collection_keys = ["geometries", "type"] self.feature_keys = ["geometry", "properties", "type"] self.geometry_keys = ["coordinates", "type"] def aux_get_list_from_response(self, response): return list( json.loads(response.text) ) def aux_get_first_feature(self, response): response_dict = self.aux_get_dict_from_response(response) if "features" not in response_dict.keys(): return response_dict return response_dict["features"][0] def aux_get_first_feature_keys(self, response): first_feature = self.aux_get_first_feature(response) return sorted( list(first_feature.keys()) ) def aux_get_first_feature_properties_keys(self, response): first_feature = self.aux_get_first_feature(response) return sorted( list(first_feature['properties'].keys()) ) def aux_get_first_element_from_response_list(self, response): return self.aux_get_list_from_response(response)[0] def aux_get_first_element_keys_from_response_list(self, response): first_element = self.aux_get_first_element_from_response_list(response) return sorted( list(first_element.keys()) ) def aux_get_first_element_joined_length(self, response): first_element = self.aux_get_first_element_from_response_list(response) return len(first_element["__joined__"]) def aux_get_single_element_from_response(self, response): response_text = json.loads(response.text) return dict( response_text ) def aux_get_sigle_element_keys_from_response(self, response): first_element = self.aux_get_single_element_from_response(response) return sorted( list(first_element.keys()) ) def aux_get_first_geometry_keys_from_response_list(self, response): response_dict = self.aux_get_dict_from_response(response) first_geometry = response_dict["geometries"][0] return sorted( list(first_geometry.keys()) ) def aux_get_single_feature_properties_keys_from_response(self, response): response_dict = self.aux_get_dict_from_response(response) return sorted( list(response_dict['properties'].keys()) ) class AbstractOptionsRequestTest(AbstractRequestTest): def setUp(self): super(AbstractOptionsRequestTest, self).setUp() self.supported_operation_key = 'hydra:supportedOperations' self.supported_property_key = 'hydra:supportedProperties' self.term_definition_default_keys = ['hydra', 'rdfs', 'subClassOf'] self.simple_path_options_dict_keys = ['@context', '@id', '@type', 'hydra:iriTemplate', 'hydra:representationName', self.supported_operation_key, self.supported_property_key, 'subClassOf'] self.non_simple_path_dict_keys = ["@context", '@id', '@type', self.supported_operation_key, 'subClassOf'] self.keys_from_attrs_context = ["@id", "@type"] self.keys_from_oper_context = ["@id", "@type"] self.expected_supported_property_keys = ["@type", "hydra:property", "hydra:readable", "hydra:required", self.supported_operation_key, "hydra:writeable", "isExternal", "isIdentifier", "isUnique"] self.spatial_operation_names = ['area', 'boundary', 'buffer', 'centroid', 'contains', 'convex_hull', 'coord_seq', 'coords', 'count', 'crosses', 'crs', 'difference', 'dims', 'disjoint', 'distance', 'empty', 'envelope', 'equals', 'equals_exact', 'ewkb', 'ewkt', 'extend', 'extent', 'geojson', 'geom_type', 'geom_typeid', 'get_coords', 'get_srid', 'get_x', 'get_y', 'get_z', 'has_cs', 'hasz', 'hex', 'hexewkb', 'index', 'interpolate', 'intersection', 'intersects', 'join', 'json', 'kml', 'length', 'normalize', 'num_coords', 'num_geom', 'num_points', 'ogr', 'overlaps', 'point_on_surface', 'projection', 'relate', 'relate_pattern', 'ring', 'simple', 'simplify', 'srid', 'srs', 'sym_difference', 'touches', 'transform', 'union', 'valid', 'valid_reason', 'within', 'wkb', 'wkt', 'x', 'y', 'z'] self.string_operations_names = ['capitalize', 'center', 'count', 'endswith', 'find', 'isalnum', 'isalpha', 'isdigit', 'islower', 'isupper', 'join', 'lower', 'split', 'startswith', 'upper'] self.basic_operations_names = ['join', 'projection'] self.spatial_collection_operation_names = ['bbcontains', 'bboverlaps', 'collect', 'contained', 'contains', 'contains-properly', 'count-resource', 'covers', 'covers-by', 'crosses', 'disjoint', 'distance-gt', 'distance-gte', 'distance-lt', 'distance-lte', 'distinct', 'dwithin', 'extent', 'filter', 'group-by-count', 'group-by-sum', 'intersects', 'isvalid', 'join', 'left', 'make-line', 'offset-limit', 'overlaps', 'overlaps-above', 'overlaps-below', 'overlaps-left', 'overlaps-right', 'projection', 'relate', 'right', 'strictly-above', 'strictly-below', 'touches', 'union', 'within'] self.collection_operation_names = ['collect', 'count-resource', 'distinct', 'filter', 'group-by-count', 'group-by-sum', 'join', 'offset-limit', 'projection'] self.raster_operation_names = ['bands', 'destructor', 'driver', 'extent', 'geotransform', 'height', 'info', 'metadata', 'name', 'origin', 'projection', 'ptr', 'ptr_type', 'scale', 'skew', 'srid', 'srs', 'transform', 'vsi_buffer', 'warp', 'width'] self.entrypoint_operation_names = ["collect", "count-resource", "filter", "offset-limit", "projection"] self.collection_vocab = "http://www.w3.org/ns/hydra/core#Collection" self.link_vocab = "http://www.w3.org/ns/hydra/core#Link" self.entrypoint_vocab = "http://www.w3.org/ns/hydra/core#entrypoint" def aux_get_context_keys_merged_with_default_keys(self, expected_context_keys): expected_keys = deepcopy(expected_context_keys) expected_keys.extend(self.term_definition_default_keys) return sorted(expected_keys) def aux_get_supported_property_keys(self, response): response_dict = self.aux_get_dict_from_response(response) supported_properties_keys = response_dict[self.supported_property_key][0].keys() return sorted(supported_properties_keys) def aux_get_supported_property_names(self, response): response_dict = self.aux_get_dict_from_response(response) supported_properties = response_dict[self.supported_property_key] property_names = [] for sp in supported_properties: property_names.append( sp['hydra:property'] ) return sorted(property_names) def aux_get_supported_operations_names(self, response): response_dict = self.aux_get_dict_from_response(response) operations_names = [operation_dict['hydra:operation'] for operation_dict in response_dict[self.supported_operation_key]] return sorted(operations_names) def aux_get_supported_properties_names(self, response): response_dict = self.aux_get_dict_from_response(response) supp_props_names = [ supp_props["hydra:property"] for supp_props in response_dict[self.supported_property_key] ] return sorted(supp_props_names) class AbstractHeadRequestTest(AbstractRequestTest): def aux_get_headers_list_from_response(self, response): return sorted( list(response.headers.keys()) ) def aux_get_allowed_methods(self, response, allow_header): allowed_methods = [] for method in response.headers[allow_header].split(','): if method != '': allowed_methods.append(method.strip()) return sorted(allowed_methods) def aux_get_hypermidia_control_dict_from_link_header(self, response): link_header_content = response.headers['link'] hypermidia_control_list = [hypermidia_control.strip() for hypermidia_control in link_header_content.split(',')] hypermidia_control_dict = {} for hypermidia_control in hypermidia_control_list: hypermidia_control_splited = hypermidia_control.split(";") key = hypermidia_control_splited.pop(1).strip()[5:-1] # removing rel="" val = ";".join(hypermidia_control_splited) hypermidia_control_dict[key] = val return hypermidia_control_dict def aux_get_hypermidia_control_from_link_header(self, response, hypermidia_control_rel): return self.aux_get_hypermidia_control_dict_from_link_header(response)[hypermidia_control_rel] # OPERATIONS SINTAX TEST #python manage.py test hyper_resource.tests.GenericOperationsSintaxTest --testrunner=hyper_resource.tests.NoDbTestRunner class GenericOperationsSintaxTest(SimpleTestCase): def setUp(self): self.generic_object = UsuarioDetail() self.generic_object.object_model = Usuario() def test_projection_operation_sintax(self): self.assertTrue( self.generic_object.projection_operation_sintax_is_ok("projection/nome,email") ) self.assertTrue( self.generic_object.projection_operation_sintax_is_ok("projection/nome") ) self.assertFalse( self.generic_object.projection_operation_sintax_is_ok("projection/this_attribute_doesnt_exists") ) self.assertFalse( self.generic_object.projection_operation_sintax_is_ok("projection/") ) self.assertFalse( self.generic_object.projection_operation_sintax_is_ok("projection/this_operation_doesnt_exists") ) #python manage.py test hyper_resource.tests.CollectionOperationsSintaxTest --testrunner=hyper_resource.tests.NoDbTestRunner class CollectionOperationsSintaxTest(SimpleTestCase): def setUp(self): self.collection_object = UsuarioList() self.collection_object.object_model = Usuario() """gastos (referencia), id, nome, nome_usuario, data_nascimento, email, senha""" def test_filter_operation_sintax(self): # testing arr[0] self.assertFalse(self.collection_object.filter_operation_sintax_is_ok("filtering/nome/isnull")) # wrong name self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/isnull")) # right version # testing arr[1] self.assertFalse(self.collection_object.filter_operation_sintax_is_ok("filter/abc/isnull")) # inexistent attribute self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/isnull")) # right version # testing arr[2] self.assertFalse(self.collection_object.filter_operation_sintax_is_ok("filter/nome/xyz")) # not an boolean operator self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/isnull")) # right version # testing arr[3] self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/isnull")) # arr[3] can be empty self.assertFalse(self.collection_object.filter_operation_sintax_is_ok("filter/nome/eq/")) # 'eq' needs an value self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/eq/rio")) # right version (literal value) #self.assertFalse(self.collection_object.filter_operation_sintax_is_ok("filter/geom/within/http://gabriel:8001/api/bcim/unidades-federativas/FF")) # reference to nowhere #self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/geom/within/http://gabriel:8001/api/bcim/unidades-federativas/ES"))) self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/eq/" + HOST + "/controle-list/usuario-list/1/abc")) # reference to nowhere self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/eq/" + HOST + "/controle-list/usuario-list/1/nome")) # right version (external value) # testing arr[4] self.assertFalse(self.collection_object.filter_operation_sintax_is_ok("filter/nome/eq/rio/xyz/email/isnotnull")) # if arr[2] is an expression operator that expects a value, arr[4] must be AND or OR self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/eq/rio/and/email/isnotnull")) # right version self.assertFalse(self.collection_object.filter_operation_sintax_is_ok("filter/data_nascimento/between/2000-01-01/or/2010-01-01/")) # if arr[2] is 'between', arr[4] must be AND self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/data_nascimento/between/2000-01-01/and/2010-01-01/")) # right version # testing arr[-1] (without boolean operators AND or OR) self.assertFalse(self.collection_object.filter_operation_sintax_is_ok("filter/data_nascimento/eq/not_an_operation")) # final index is not an operation nor a value that can be converted to Date type self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/data_nascimento/eq/2000-01-01")) # final index can be converted to Date type self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/isnull/count-resource")) # right version (has operation in the ending) # another tests self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/isnull")) self.assertFalse(self.collection_object.filter_operation_sintax_is_ok("filter/nome/isnull/and")) self.assertFalse(self.collection_object.filter_operation_sintax_is_ok("filter/nome")) # inssuficient arguments (at least 3) self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/data_nascimento/between/2000-01-01/and/2010-01-01/and/nome/isnotnull")) ''' # 1ยบ step test - testing array[:3] self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/data_nascimento/isnull")) # filter/local_attribute/boolean_operator # 2ยบ step test - testing array[3] self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/eq/Rio")) # filter/local_attribute/boolean_operator/literal_value self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/eq/http://172.30.10.86/api/bcim/unidades-federativas/ES/nome")) # filter/local_attribute/boolean_operator/external_value self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/data_nascimento/isnull/and/nome/eq/r")) # filter/local_attribute/boolean_operator/literal_value/logical_operator # 3ยบ step test - testing array[4] self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/eq/r/and/data_nascimento/isnull")) # filter/local_attribute/boolean_operator/literal_value/logical_operator/... self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/data_nascimento/isnull/and/nome/eq/r")) # filter/local_attribute/boolean_operator/logical_operator/local_attribute/... # 4ยบ step test - testing array[5] self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/nome/eq/Rio/or/data_nascimento/isnull")) # filter/local_attribute/boolean_operator/literal_value/logical_operator/local_attribute... self.assertTrue(self.collection_object.filter_operation_sintax_is_ok("filter/data_nascimento/isnull/or/nome/eq/Rio")) # filter/local_attribute/boolean_operator/logical_operator/local_attribute/boolean_operator... self.assertFalse(self.collection_object.filter_operation_sintax_is_ok("filter/nome")) # less than 3 indexes ''' def test_offset_limit_operation_sintax(self): self.assertTrue( self.collection_object.offset_limit_operation_sintax_is_ok("offset-limit/0&2") ) self.assertFalse( self.collection_object.offset_limit_operation_sintax_is_ok("offset-limit/0&-2") ) self.assertFalse( self.collection_object.offset_limit_operation_sintax_is_ok("offset-limit/-1&5") ) self.assertFalse( self.collection_object.offset_limit_operation_sintax_is_ok("offset-limit/0&2/nome") ) self.assertFalse( self.collection_object.offset_limit_operation_sintax_is_ok("offset-limit/0&2/nome,email") ) self.assertTrue( self.collection_object.offset_limit_operation_sintax_is_ok("offset-limit/0&2/collect") ) self.assertFalse( self.collection_object.offset_limit_operation_sintax_is_ok("offset-limit/0") ) # SPECIFIC OPERATIONS TEST #python manage.py test hyper_resource.tests.CollectOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner class CollectOperationTest(AbstractGetRequestTest): # --------------- TESTS FOR FEATURE COLLECTION --------------------------------- # FeatureCollection return def test_collect_operation_with_feature_collection_return(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/collect/nome&geom/buffer/0.2/") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/vnd.geo+json') response_dict_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_dict_keys, self.feature_collection_keys) first_feature_keys = self.aux_get_first_feature_keys(response) self.assertEquals(first_feature_keys, self.feature_keys) first_feature_properties_keys = self.aux_get_first_feature_properties_keys(response) self.assertEquals(first_feature_properties_keys, ['nome']) def test_collect_operation_with_feature_collection_return_accept_header(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/collect/nome&geom/buffer/0.2/", headers={'Accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') def test_collect_operation_with_non_spatial_operation_and_feature_collection_return(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/collect/geom&nome/upper") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/vnd.geo+json') response_dict_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_dict_keys, self.feature_collection_keys) first_feature_keys = self.aux_get_first_feature_keys(response) self.assertEquals(first_feature_keys, self.feature_keys) first_feature_properties_keys = self.aux_get_first_feature_properties_keys(response) self.assertEquals(first_feature_properties_keys, ['upper']) # possible conceitual error #response_dict = self.aux_get_dict_from_response(response) #self.assertEquals(list(response_dict["features"][0]["properties"].keys()), ["upper"]) def test_collect_operation_with_non_spatial_operation_and_feature_collection_return_accept_header(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/collect/geom&nome/upper", headers={'Accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') # GeometryCollection return def test_collect_operation_with_geometry_collection_return(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/collect/geom/buffer/0.2/") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/vnd.geo+json') response_dict_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_dict_keys, self.geometry_collection_keys) first_geometry_keys = self.aux_get_first_geometry_keys_from_response_list(response) self.assertEquals(first_geometry_keys, self.geometry_keys) def test_collect_operation_with_geometry_collection_return_accept_header(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/collect/geom/buffer/0.2/", headers={'Accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') # list return def test_collect_operation_with_spatial_operation_and_float_return(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/collect/nome&geom/area") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/json') first_element_keys = self.aux_get_first_element_keys_from_response_list(response) self.assertEquals(first_element_keys, ["area", "nome"]) def test_collect_operation_with_spatial_operation_and_float_return_accept_header(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/collect/nome&geom/area", headers={'Accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') def test_collect_operation_with_alphanumeric_operation(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/collect/nome/upper") self.assertEquals(response.status_code, 200) first_element_keys = self.aux_get_first_element_keys_from_response_list(response) self.assertEquals(first_element_keys, ["upper"]) def test_collect_operation_with_alphanumeric_operation_accept_header(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/collect/nome/upper", headers={'Accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') # with projection def test_collect_operation_with_projection(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/projection/nome,geom/collect/nome&geom/buffer/0.5") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/vnd.geo+json') response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.feature_collection_keys) first_feature_keys = self.aux_get_first_feature_keys(response) self.assertListEqual(first_feature_keys, self.feature_keys) first_feature_properties_keys = self.aux_get_first_feature_properties_keys(response) self.assertEquals(list(first_feature_properties_keys), ["nome"]) def test_collect_operation_with_projection_accept_header(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/collect/nome/upper", headers={'Accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') def test_collect_operation_with_projection_different_from_collect_attrs(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/projection/geom/collect/nome&geom/buffer/0.5") self.assertEquals(response.status_code, 400) self.assertEquals(response.headers['content-type'], 'application/json') # ------------------- TESTS FOR COLLECTION ------------------------------------- # list return def test_collect_operation_with_collection_return(self): response = requests.get(self.controle_base_uri + "usuario-list/collect/email&nome/upper/") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/json') first_element_keys = self.aux_get_first_element_keys_from_response_list(response) self.assertEquals(first_element_keys, ["email", "upper"]) def test_collect_operation_with_collection_return_with_accept_header(self): response = requests.get(self.controle_base_uri + "usuario-list/collect/email&nome/upper/", headers={'Accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') def test_collect_operation_with_collection_return_only_one_attribute(self): response = requests.get(self.controle_base_uri + "usuario-list/collect/nome/upper/") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/json') first_element_keys = self.aux_get_first_element_keys_from_response_list(response) self.assertEquals(first_element_keys, ["upper"]) def test_collect_operation_with_collection_return_only_one_attribute_with_accept_header(self): response = requests.get(self.controle_base_uri + "usuario-list/collect/nome/upper/", headers={'Accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') # with projection def test_collect_operation_with_projection_and_collection_return(self): response = requests.get(self.controle_base_uri + "usuario-list/projection/nome,email/collect/email&nome/upper/") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/json') first_element_keys = self.aux_get_first_element_keys_from_response_list(response) self.assertEquals(first_element_keys, ["email", "upper"]) def test_collect_operation_with_projection_collection_return_and_accept_header(self): response = requests.get(self.controle_base_uri + "usuario-list/projection/nome,email/collect/email&nome/upper/", headers={'Accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') def test_collect_operation_for_collection_with_projection_diferent_from_collect_attrs(self): response = requests.get(self.controle_base_uri + "usuario-list/projection/email/collect/email&nome/upper/") self.assertEquals(response.status_code, 400) self.assertEquals(response.headers['content-type'], 'application/json') #python manage.py test hyper_resource.tests.OptionsForCollectOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner class OptionsForCollectOperationTest(AbstractOptionsRequestTest): # --------------- TESTS FOR FEATURE COLLECTION --------------------------------- # FeatureCollection return def test_options_collect_operation_for_feature_collection_buffer_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/collect/sigla&geom/buffer/0.2") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "rdfs", "sigla", "subClassOf"]) #geom_context_keys = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertEquals(geom_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_oper_context) sigla_context_keys = self.aux_get_keys_from_acontext_attrs(response, "sigla") self.assertEquals(sigla_context_keys, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_collect_operation_for_feature_collection_buffer_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/collect/sigla&geom/buffer/0.2", headers={"accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "rdfs", "sigla", "subClassOf"]) #geom_context_keys = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertEquals(geom_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_oper_context) sigla_context_keys = self.aux_get_keys_from_acontext_attrs(response, "sigla") self.assertEquals(sigla_context_keys, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_collect_operation_for_feature_collection_lower_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/collect/geom&sigla/lower/") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "lower", "rdfs", "subClassOf"]) #geom_context_keys = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertEquals(geom_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_oper_context) lower_context_keys = self.aux_get_keys_from_acontext_attrs(response, "lower") self.assertEquals(lower_context_keys, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_collect_operation_for_feature_collection_lower_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/collect/geom&sigla/lower", headers={"accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "lower", "rdfs", "subClassOf"]) #geom_context_keys = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertEquals(geom_context_keys, self.keys_from_attrs_context) lower_context_keys = self.aux_get_keys_from_acontext_attrs(response, "lower") self.assertEquals(lower_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], 'https://purl.org/geojson/vocab#FeatureCollection') self.assertEquals(response_dict["subClassOf"], self.collection_vocab) # GeometryCollection return def test_options_collect_operation_for_feature_collection_only_geometry_attribute_and_buffer_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/collect/geom/buffer/0.2") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "rdfs", "subClassOf"]) #geom_context_keys = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertEquals(geom_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_oper_context) operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#geometry") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_collect_operation_for_feature_collection_only_geometry_attribute_and_buffer_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/collect/geom/buffer/0.2", headers={"accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "rdfs", "subClassOf"]) #geom_context_keys = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertEquals(geom_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#geometry") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) # Collection return def test_options_collect_operation_for_feature_collection_area_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/collect/geom/area") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["area", "hydra", "rdfs", "subClassOf"]) area_context_keys = self.aux_get_keys_from_acontext_attrs(response, "area") # context for the float value, not the operation self.assertEquals(area_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") # context for the float value, not the operation self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(operations_names, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collect_operation_for_feature_collection_area_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/collect/geom/area", headers={"accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["area", "hydra", "rdfs", "subClassOf"]) area_context_keys = self.aux_get_keys_from_acontext_attrs(response, "area") # context for the float value, not the operation self.assertEquals(area_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") # context for the float value, not the operation self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collect_operation_for_feature_collection_only_alphanumeric_attribute_and_lower_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/collect/sigla/lower") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "lower", "rdfs", "subClassOf"]) lower_context_keys = self.aux_get_keys_from_acontext_attrs(response, "lower") self.assertEquals(lower_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(operations_names, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Text") self.assertEquals(response_dict['@type'], self.collection_vocab) self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_collect_operation_for_feature_collection_only_alphanumeric_attribute_and_lower_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/collect/sigla/lower", headers={"accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "lower", "rdfs", "subClassOf"]) lower_context_keys = self.aux_get_keys_from_acontext_attrs(response, "lower") self.assertEquals(lower_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Text") self.assertEquals(response_dict['@type'], self.collection_vocab) self.assertEquals(response_dict['subClassOf'], "hydra:Resource") # with projection def test_options_collect_operation_for_feature_collection_with_projection(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/projection/sigla,geom/collect/sigla&geom/buffer/0.2") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", 'rdfs', "sigla", 'subClassOf']) #geom_context_keys = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertEquals(geom_context_keys, self.keys_from_attrs_context) sigla_context_keys = self.aux_get_keys_from_acontext_attrs(response, "sigla") self.assertEquals(sigla_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_collect_operation_for_feature_collection_with_projection_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/projection/sigla,geom/collect/sigla&geom/buffer/0.2", headers={"accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", 'rdfs', "sigla", 'subClassOf']) #geom_context_keys = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertEquals(geom_context_keys, self.keys_from_attrs_context) sigla_context_keys = self.aux_get_keys_from_acontext_attrs(response, "sigla") self.assertEquals(sigla_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_collect_operation_for_feature_collection_with_projection_attributes_different_from_collect_attributes(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/projection/geom/collect/sigla&geom/buffer/0.2") self.assertEquals(response.status_code, 400) # ------------------- TESTS FOR COLLECTION ------------------------------------- # list return # tests for collection collect operation def test_options_collect_for_collection_with_lower_operation(self): response = requests.options(self.controle_base_uri + 'usuario-list/collect/nome/upper') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'upper']) upper_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'upper') self.assertEquals(upper_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Text") self.assertEquals(response_dict['@type'], self.collection_vocab) self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_collect_for_collection_with_lower_operation_accept_octet_stream(self): response = requests.options(self.controle_base_uri + 'usuario-list/collect/nome/upper', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'upper']) upper_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'upper') self.assertEquals(upper_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Text") self.assertEquals(response_dict['@type'], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collect_for_collection_with_lower_operation_two_attributes(self): response = requests.options(self.controle_base_uri + 'usuario-list/collect/nome&email/upper') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf', 'upper']) upper_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'upper') self.assertEquals(upper_context_keys, self.keys_from_attrs_context) nome_upper_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_upper_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['@type'], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collect_for_collection_with_lower_operation_two_attributes_accept_octet_stream(self): response = requests.options(self.controle_base_uri + 'usuario-list/collect/nome&email/upper', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf', 'upper']) upper_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'upper') self.assertEquals(upper_context_keys, self.keys_from_attrs_context) nome_upper_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_upper_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['@type'], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # with projection def test_options_collect_for_collection_with_lower_operation_two_attributes_and_projection(self): response = requests.options(self.controle_base_uri + 'usuario-list/projection/nome,email/collect/nome&email/upper') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf', 'upper']) upper_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'upper') self.assertEquals(upper_context_keys, self.keys_from_attrs_context) nome_upper_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_upper_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['@type'], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collect_for_collection_with_lower_operation_two_attributes_and_projection_accept_octet_stream(self): response = requests.options(self.controle_base_uri + 'usuario-list/projection/nome,email/collect/nome&email/upper', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf', 'upper']) upper_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'upper') self.assertEquals(upper_context_keys, self.keys_from_attrs_context) nome_upper_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_upper_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['@type'], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collect_for_collection_with_projection_diferent_from_collect_attrs(self): response = requests.get(self.controle_base_uri + "usuario-list/projection/email/collect/email&nome/upper/") self.assertEquals(response.status_code, 400) #python manage.py test hyper_resource.tests.GroupBySumOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner class GroupBySumOperationTest(AbstractRequestTest): def setUp(self): super(GroupBySumOperationTest, self).setUp() def test_group_by_sum_operation(self): response = requests.get(self.controle_base_uri + "gasto-list/group-by-sum/data&valor") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/json') #python manage.py test hyper_resource.tests.ProjectionOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner class ProjectionOperationTest(AbstractGetRequestTest): # --------------- TESTS FOR NONSPATIAL RESOURCE --------------------------------- def test_projection_for_non_spatial_resource(self): implicit_projection_resp = requests.get(self.controle_base_uri + "usuario-list/1/nome,email") # implicit projection self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/json') f_response_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(f_response_keys, ["email", "nome"]) explicit_projection_resp = requests.get(self.controle_base_uri + "usuario-list/1/projection/nome,email") # explicit projection self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/json') s_response_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(s_response_keys, ["email", "nome"]) def test_projection_for_non_spatial_resource_accept_octet_stream(self): implicit_projection_resp = requests.get(self.controle_base_uri + "usuario-list/1/nome,email", headers={"Accept": "application/octet-stream"}) # implicit projection self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/octet-stream') explicit_projection_resp = requests.get(self.controle_base_uri + "usuario-list/1/projection/nome,email", headers={"Accept": "application/octet-stream"}) # explicit projection self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/octet-stream') # --------------- TESTS FOR TIFF RESOURCE --------------------------------- def test_projection_for_tiff_resource_all_attributes(self): implicit_projection_resp = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rid,rast') self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers["content-type"], 'image/tiff') explicit_projection_resp = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/projection/rid,rast') self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers["content-type"], 'image/tiff') def test_projection_for_tiff_resource_without_raster_attribute(self): implicit_projection_resp = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rid') self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers["content-type"], 'application/json') f_response_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(f_response_keys, ["rid"]) explicit_projection_resp = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/projection/rid') self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers["content-type"], 'application/json') s_response_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(s_response_keys, ["rid"]) def test_projection_for_tiff_resource_only_raster_attribute(self): implicit_projection_resp = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rast') self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers["content-type"], 'image/tiff') explicit_projection_resp = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/projection/rast') self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers["content-type"], 'image/tiff') def test_projection_for_tiff_resource_all_attributes_accept_octet_stream(self): pass def test_projection_for_tiff_resource_without_raster_attribute_accept_octet_stream(self): implicit_projection_resp = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rid', headers={"Accept": "application/octet-stream"}) self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers["content-type"], 'application/octet-stream') explicit_projection_resp = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/projection/rid', headers={"Accept": "application/octet-stream"}) self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers["content-type"], 'application/octet-stream') def test_projection_for_tiff_resource_only_raster_attribute_accept_octet_stream(self): pass # --------------- TESTS FOR FEATURE RESOURCE --------------------------------- def test_projection_for_feature_resource(self): # implicit projection implicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/ES/nome,geom") self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/vnd.geo+json') f_response_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(f_response_keys, self.feature_keys) f_feature_properties_keys = self.aux_get_single_feature_properties_keys_from_response(implicit_projection_resp) self.assertEquals(f_feature_properties_keys, ["nome"]) # explicit projection explicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/ES/projection/nome,geom") self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/vnd.geo+json') s_response_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(s_response_keys, self.feature_keys) s_feature_properties_keys = self.aux_get_single_feature_properties_keys_from_response(explicit_projection_resp) self.assertEquals(s_feature_properties_keys, ["nome"]) def test_projection_for_feature_resource_without_geometric_attribute(self): # implicit projection implicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/ES/nome,sigla") self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/json') f_feature_properties_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(f_feature_properties_keys, ["nome", "sigla"]) # explicit projection explicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/ES/projection/nome,sigla") self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/json') s_feature_properties_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(s_feature_properties_keys, ["nome", "sigla"]) def test_projection_for_feature_resource_only_geometric_attribute(self): # implicit projection implicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/ES/geom") self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/vnd.geo+json') f_response_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(f_response_keys, self.geometry_keys) # explicit projection explicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/ES/projection/geom") self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/vnd.geo+json') s_response_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(s_response_keys, self.geometry_keys) def test_projection_for_feature_resource_accept_octet_stream(self): # implicit projection implicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/ES/nome,geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/octet-stream') explicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/ES/projection/nome,geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/octet-stream') def test_projection_for_feature_resource_without_geometric_attribute_accept_octet_stream(self): # implicit projection implicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/ES/nome,sigla", headers={"Accept": "application/octet-stream"}) self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/octet-stream') explicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/ES/projection/nome,sigla", headers={"Accept": "application/octet-stream"}) self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/octet-stream') def test_projection_for_feature_resource_only_geometric_attribute_accept_octet_stream(self): # implicit projection implicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/ES/geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/octet-stream') # explicit projection explicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/ES/projection/geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/octet-stream') # --------------- TESTS FOR COLLECTION --------------------------------- def test_projection_for_collection_resource(self): implicit_projection_resp = requests.get(self.controle_base_uri + "usuario-list/nome,email/") self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/json') f_keys_from_first_element = self.aux_get_first_element_keys_from_response_list(implicit_projection_resp) self.assertEquals(f_keys_from_first_element, ['email', 'nome']) explicit_projection_resp = requests.get(self.controle_base_uri + "usuario-list/projection/nome,email/") self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/json') s_keys_from_first_element = self.aux_get_first_element_keys_from_response_list(explicit_projection_resp) self.assertEquals(s_keys_from_first_element, ['email', 'nome']) def test_projection_for_collection_resource_with_collect_operation(self): response = requests.get(self.controle_base_uri + "usuario-list/projection/nome,email/collect/email&nome/upper") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/json') keys_from_frist_element = self.aux_get_first_element_keys_from_response_list(response) self.assertEquals(keys_from_frist_element, ['email', 'upper']) def test_projection_for_collection_resource_with_collect_operation_projection_list_different_from_collect_list(self): response = requests.get(self.controle_base_uri + "usuario-list/projection/nome,email/collect/nome/upper") self.assertEquals(response.status_code, 400) def test_projection_for_collection_resource_accept_octet_stream(self): response = requests.get(self.controle_base_uri + "usuario-list/nome,email/", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') def test_projection_for_collection_resource_with_collect_operation_accept_octet_stream(self): response = requests.get(self.controle_base_uri + "usuario-list/projection/nome,email/collect/email&nome/upper", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') # --------------- TESTS FOR FEATURE COLLECTION --------------------------------- def test_projection_for_feature_collection(self): implicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/nome,geom") self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/vnd.geo+json') f_first_feature_keys = self.aux_get_first_feature_keys(implicit_projection_resp) self.assertEquals(f_first_feature_keys, self.feature_keys) f_first_feature_properties_keys = self.aux_get_first_feature_properties_keys(implicit_projection_resp) self.assertEquals(f_first_feature_properties_keys, ['nome']) explicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/projection/nome,geom") self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/vnd.geo+json') s_first_feature_keys = self.aux_get_first_feature_keys(explicit_projection_resp) self.assertEquals(s_first_feature_keys, self.feature_keys) s_first_feature_properties_keys = self.aux_get_first_feature_properties_keys(explicit_projection_resp) self.assertEquals(s_first_feature_properties_keys, ['nome']) def test_projection_for_feature_collection_without_geometric_attribute(self): implicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/nome") self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/json') f_first_element_keys = self.aux_get_first_element_keys_from_response_list(implicit_projection_resp) self.assertEquals(f_first_element_keys, ['nome']) explicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/projection/nome") self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/json') s_first_element_keys = self.aux_get_first_element_keys_from_response_list(explicit_projection_resp) self.assertEquals(s_first_element_keys, ['nome']) def test_projection_for_feature_collection_only_geometric_attribute(self): implicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/geom") self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/vnd.geo+json') f_first_geometry_keys = self.aux_get_first_geometry_keys_from_response_list(implicit_projection_resp) self.assertEquals(f_first_geometry_keys, self.geometry_keys) explicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/projection/geom") self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/vnd.geo+json') s_first_geometry_keys = self.aux_get_first_geometry_keys_from_response_list(explicit_projection_resp) self.assertEquals(s_first_geometry_keys, self.geometry_keys) # tests just to know if projection works with collect operation (tests for collect operation must be in his specific test class) def test_projection_for_feature_collection_with_collect_operation(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/projection/nome,geom/collect/nome&geom/buffer/0.2") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/vnd.geo+json') first_feature_keys = self.aux_get_first_feature_keys(response) self.assertEquals(first_feature_keys, self.feature_keys) first_feature_properties_keys = self.aux_get_first_feature_properties_keys(response) self.assertEquals(first_feature_properties_keys, ['nome']) def test_projection_for_feature_collection_with_collect_operation_projection_attributes_different_from_collect_attibutes(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/projection/nome,geom/collect/geom/buffer/0.2") self.assertEquals(response.status_code, 400) self.assertEquals(response.headers['content-type'], 'application/json') # binary response def test_projection_for_feature_collection_accept_octet_stream(self): implicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/nome,geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/octet-stream') explicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/projection/nome,geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/octet-stream') def test_projection_for_feature_collection_without_geometric_attribute_accept_octet_stream(self): implicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/nome", headers={"Accept": "application/octet-stream"}) self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/octet-stream') explicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/projection/nome", headers={"Accept": "application/octet-stream"}) self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/octet-stream') def test_projection_for_feature_collection_only_geometric_attribute_accept_octet_stream(self): implicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(implicit_projection_resp.status_code, 200) self.assertEquals(implicit_projection_resp.headers['content-type'], 'application/octet-stream') explicit_projection_resp = requests.get(self.bcim_base_uri + "unidades-federativas/projection/geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(explicit_projection_resp.status_code, 200) self.assertEquals(explicit_projection_resp.headers['content-type'], 'application/octet-stream') def test_projection_for_feature_collection_with_collect_operation_accept_octet_stream(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/projection/nome,geom/collect/nome&geom/buffer/0.2", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') #python manage.py test hyper_resource.tests.OptionsForProjectionOperation --testrunner=hyper_resource.tests.NoDbTestRunner class OptionsForProjectionOperation(AbstractOptionsRequestTest): # --------------- TESTS FOR NONSPATIAL RESOURCE --------------------------------- def test_options_for_non_spatial_resource_projection_operation(self): # implicit projection implicit_projection_resp = requests.options(self.controle_base_uri + "usuario-list/1/nome,email") self.assertEquals(implicit_projection_resp.status_code, 200) implicit_projection_resp_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(implicit_projection_resp_keys, self.non_simple_path_dict_keys) f_supported_operations_names = self.aux_get_supported_operations_names(implicit_projection_resp) self.assertEquals(f_supported_operations_names, self.basic_operations_names) f_acontext_keys = self.aux_get_keys_from_response_context(implicit_projection_resp) self.assertEquals(f_acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) f_email_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'email') self.assertEquals(f_email_context_keys, self.keys_from_attrs_context) f_nome_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'nome') self.assertEquals(f_nome_context_keys, self.keys_from_attrs_context) f_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'subClassOf') self.assertEquals(f_subClassOf_context_keys, self.keys_from_attrs_context) f_resp_dict = self.aux_get_dict_from_response(implicit_projection_resp) self.assertEquals(f_resp_dict['@id'], "https://schema.org/Thing") self.assertEquals(f_resp_dict['@type'], "https://schema.org/Thing") self.assertEquals(f_resp_dict['subClassOf'], "hydra:Resource") # explicit projection explicit_projection_resp = requests.options(self.controle_base_uri + "usuario-list/1/projection/nome,email") self.assertEquals(explicit_projection_resp.status_code, 200) explicit_projection_resp_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(explicit_projection_resp_keys, self.non_simple_path_dict_keys) s_supported_operations_names = self.aux_get_supported_operations_names(explicit_projection_resp) self.assertEquals(s_supported_operations_names, self.basic_operations_names) s_acontext_keys = self.aux_get_keys_from_response_context(explicit_projection_resp) self.assertEquals(s_acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) s_email_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'email') self.assertEquals(s_email_context_keys, self.keys_from_attrs_context) s_nome_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'nome') self.assertEquals(s_nome_context_keys, self.keys_from_attrs_context) s_subClassOd_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'subClassOf') self.assertEquals(s_subClassOd_context_keys, self.keys_from_oper_context) s_resp_dict = self.aux_get_dict_from_response(explicit_projection_resp) self.assertEquals(s_resp_dict['@id'], "https://schema.org/Thing") self.assertEquals(s_resp_dict['@type'], "https://schema.org/Thing") self.assertEquals(s_resp_dict['subClassOf'], "hydra:Resource") def test_options_for_non_spatial_resource_projection_operation_accept_octet_stream(self): # implicit projection implicit_projection_resp = requests.options(self.controle_base_uri + "usuario-list/1/nome,email", headers={"Accept": "application/octet-stream"}) self.assertEquals(implicit_projection_resp.status_code, 200) implicit_projection_resp_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(implicit_projection_resp_keys, self.non_simple_path_dict_keys) f_supported_operations_names = self.aux_get_supported_operations_names(implicit_projection_resp) self.assertEquals(f_supported_operations_names, []) f_acontext_keys = self.aux_get_keys_from_response_context(implicit_projection_resp) self.assertEquals(f_acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) f_email_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'email') self.assertEquals(f_email_context_keys, self.keys_from_attrs_context) f_nome_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'nome') self.assertEquals(f_nome_context_keys, self.keys_from_attrs_context) f_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'subClassOf') self.assertEquals(f_subClassOf_context_keys, self.keys_from_attrs_context) f_resp_dict = self.aux_get_dict_from_response(implicit_projection_resp) self.assertEqual(f_resp_dict['@id'], 'https://schema.org/Thing') self.assertEqual(f_resp_dict['@type'], 'https://schema.org/Thing') self.assertEqual(f_resp_dict['subClassOf'], 'hydra:Resource') # explicit projection explicit_projection_resp = requests.options(self.controle_base_uri + "usuario-list/1/projection/nome,email", headers={"Accept": "application/octet-stream"}) self.assertEquals(explicit_projection_resp.status_code, 200) explicit_projection_resp_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(explicit_projection_resp_keys, self.non_simple_path_dict_keys) s_supported_operations_names = self.aux_get_supported_operations_names(explicit_projection_resp) self.assertEquals(s_supported_operations_names, []) s_acontext_keys = self.aux_get_keys_from_response_context(explicit_projection_resp) self.assertEquals(s_acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) s_email_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'email') self.assertEquals(s_email_context_keys, self.keys_from_attrs_context) s_nome_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'nome') self.assertEquals(s_nome_context_keys, self.keys_from_attrs_context) s_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'subClassOf') self.assertEquals(s_subClassOf_context_keys, self.keys_from_attrs_context) s_resp_dict = self.aux_get_dict_from_response(explicit_projection_resp) self.assertEqual(s_resp_dict['@id'], 'https://schema.org/Thing') self.assertEqual(s_resp_dict['@type'], 'https://schema.org/Thing') self.assertEqual(s_resp_dict['subClassOf'], 'hydra:Resource') # --------------- TESTS FOR FEATURE RESOURCE --------------------------------- def test_options_for_feature_resource_projection_operation(self): # implicit project implicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/ES/nome,geom/") self.assertEquals(implicit_projection_resp.status_code, 200) implicit_projection_resp_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(implicit_projection_resp_keys, self.non_simple_path_dict_keys) f_supported_operations_names = self.aux_get_supported_operations_names(implicit_projection_resp) self.assertEquals(f_supported_operations_names, self.spatial_operation_names) f_acontext_keys = self.aux_get_keys_from_response_context(implicit_projection_resp) self.assertEquals(f_acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) #f_geom_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'geom') #self.assertEquals(f_geom_context_keys, self.keys_from_attrs_context) f_nome_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'nome') self.assertEquals(f_nome_context_keys, self.keys_from_attrs_context) f_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'subClassOf') self.assertEquals(f_subClassOf_context_keys, self.keys_from_attrs_context) f_resp_dict = self.aux_get_dict_from_response(implicit_projection_resp) self.assertEqual(f_resp_dict['@id'], 'https://purl.org/geojson/vocab#Feature') self.assertEqual(f_resp_dict['@type'], 'https://purl.org/geojson/vocab#Feature') self.assertEqual(f_resp_dict['subClassOf'], 'hydra:Resource') # explicit projection explicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/ES/projection/nome,geom/") self.assertEquals(explicit_projection_resp.status_code, 200) explicit_projection_resp_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(explicit_projection_resp_keys, self.non_simple_path_dict_keys) s_supported_operations_names = self.aux_get_supported_operations_names(explicit_projection_resp) self.assertEquals(s_supported_operations_names, self.spatial_operation_names) s_acontext_keys = self.aux_get_keys_from_response_context(explicit_projection_resp) self.assertEquals(s_acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) #s_geom_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'geom') #self.assertEquals(s_geom_context_keys, self.keys_from_attrs_context) s_nome_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'nome') self.assertEquals(s_nome_context_keys, self.keys_from_attrs_context) s_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'subClassOf') self.assertEquals(s_subClassOf_context_keys, self.keys_from_attrs_context) s_resp_dict = self.aux_get_dict_from_response(explicit_projection_resp) self.assertEqual(s_resp_dict['@id'], 'https://purl.org/geojson/vocab#Feature') self.assertEqual(s_resp_dict['@type'], 'https://purl.org/geojson/vocab#Feature') self.assertEqual(s_resp_dict['subClassOf'], 'hydra:Resource') def test_options_for_feature_resource_projection_operation_only_geometric_attribute(self): # implicit project implicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/ES/geom/") self.assertEquals(implicit_projection_resp.status_code, 200) implicit_projection_resp_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(implicit_projection_resp_keys, self.non_simple_path_dict_keys) f_supported_operations_names = self.aux_get_supported_operations_names(implicit_projection_resp) self.assertEquals(f_supported_operations_names, self.spatial_operation_names) f_acontext_keys = self.aux_get_keys_from_response_context(implicit_projection_resp) self.assertEquals(f_acontext_keys, ['hydra', 'rdfs', 'subClassOf']) #f_geom_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'geom') #self.assertEquals(f_geom_context_keys, self.keys_from_attrs_context) f_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'subClassOf') self.assertEquals(f_subClassOf_context_keys, self.keys_from_attrs_context) f_resp_dict = self.aux_get_dict_from_response(implicit_projection_resp) self.assertEqual(f_resp_dict['@id'], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEqual(f_resp_dict['@type'], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEqual(f_resp_dict['subClassOf'], 'hydra:Resource') # explicit projection explicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/ES/projection/geom/") self.assertEquals(explicit_projection_resp.status_code, 200) explicit_projection_resp_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(explicit_projection_resp_keys, self.non_simple_path_dict_keys) s_supported_operations_names = self.aux_get_supported_operations_names(explicit_projection_resp) self.assertEquals(s_supported_operations_names, self.spatial_operation_names) s_acontext_keys = self.aux_get_keys_from_response_context(explicit_projection_resp) self.assertEquals(s_acontext_keys, ['hydra', 'rdfs', 'subClassOf']) #s_geom_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'geom') #self.assertEquals(s_geom_context_keys, self.keys_from_attrs_context) s_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'subClassOf') self.assertEquals(s_subClassOf_context_keys, self.keys_from_attrs_context) s_resp_dict = self.aux_get_dict_from_response(explicit_projection_resp) self.assertEqual(s_resp_dict['@id'], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEqual(s_resp_dict['@type'], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEqual(s_resp_dict['subClassOf'], 'hydra:Resource') def test_options_for_feature_resource_projection_operation_only_alphanumeric_attribute(self): # implicit project implicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/ES/nome/") self.assertEquals(implicit_projection_resp.status_code, 200) implicit_projection_resp_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(implicit_projection_resp_keys, self.non_simple_path_dict_keys) f_supported_operations_names = self.aux_get_supported_operations_names(implicit_projection_resp) self.assertEquals(f_supported_operations_names, self.string_operations_names) f_acontext_keys = self.aux_get_keys_from_response_context(implicit_projection_resp) self.assertEquals(f_acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) f_nome_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'nome') self.assertEquals(f_nome_context_keys, self.keys_from_attrs_context) f_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'subClassOf') self.assertEquals(f_subClassOf_context_keys, self.keys_from_attrs_context) f_resp_dict = self.aux_get_dict_from_response(implicit_projection_resp) self.assertEqual(f_resp_dict['@id'], 'https://schema.org/name') self.assertEqual(f_resp_dict['@type'], 'https://schema.org/Text') self.assertEqual(f_resp_dict['subClassOf'], 'hydra:Resource') # explicit projection explicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/ES/projection/nome/") self.assertEquals(explicit_projection_resp.status_code, 200) explicit_projection_resp_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(explicit_projection_resp_keys, self.non_simple_path_dict_keys) s_supported_operations_names = self.aux_get_supported_operations_names(explicit_projection_resp) self.assertEquals(s_supported_operations_names, self.string_operations_names) s_acontext_keys = self.aux_get_keys_from_response_context(explicit_projection_resp) self.assertEquals(s_acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) s_nome_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'nome') self.assertEquals(s_nome_context_keys, self.keys_from_attrs_context) s_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'subClassOf') self.assertEquals(s_subClassOf_context_keys, self.keys_from_attrs_context) s_resp_dict = self.aux_get_dict_from_response(explicit_projection_resp) self.assertEqual(s_resp_dict['@id'], 'https://schema.org/name') self.assertEqual(s_resp_dict['@type'], 'https://schema.org/Text') self.assertEqual(s_resp_dict['subClassOf'], 'hydra:Resource') # --------------- TESTS FOR COLLECTION --------------------------------- def test_options_for_collection_resource_projection_operation(self): implicit_projection_resp = requests.options(self.controle_base_uri + "usuario-list/nome,email") self.assertEquals(implicit_projection_resp.status_code, 200) implicit_projection_resp_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(implicit_projection_resp_keys, self.non_simple_path_dict_keys) f_supported_operations_names = self.aux_get_supported_operations_names(implicit_projection_resp) self.assertEquals(f_supported_operations_names, self.collection_operation_names) f_acontext_keys = self.aux_get_keys_from_response_context(implicit_projection_resp) self.assertEquals(f_acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) f_email_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'email') self.assertEquals(f_email_context_keys, self.keys_from_attrs_context) f_nome_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'nome') self.assertEquals(f_nome_context_keys, self.keys_from_attrs_context) f_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'subClassOf') self.assertEquals(f_nome_context_keys, self.keys_from_attrs_context) f_resp_dict = self.aux_get_dict_from_response(implicit_projection_resp) self.assertEqual(f_resp_dict['@id'], 'https://schema.org/Thing') self.assertEqual(f_resp_dict['@type'], self.collection_vocab) self.assertEqual(f_resp_dict['subClassOf'], 'hydra:Resource') # explicit projection explicit_projection_resp = requests.options(self.controle_base_uri + "usuario-list/projection/nome,email") self.assertEquals(explicit_projection_resp.status_code, 200) explicit_projection_resp_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(explicit_projection_resp_keys, self.non_simple_path_dict_keys) s_supported_operations_names = self.aux_get_supported_operations_names(explicit_projection_resp) self.assertEquals(s_supported_operations_names, self.collection_operation_names) s_acontext_keys = self.aux_get_keys_from_response_context(explicit_projection_resp) self.assertEquals(s_acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) s_email_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'email') self.assertEquals(s_email_context_keys, self.keys_from_attrs_context) s_nome_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'nome') self.assertEquals(s_nome_context_keys, self.keys_from_attrs_context) s_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'subClassOf') self.assertEquals(s_subClassOf_context_keys, self.keys_from_oper_context) s_resp_dict = self.aux_get_dict_from_response(explicit_projection_resp) self.assertEqual(s_resp_dict['@id'], 'https://schema.org/Thing') self.assertEqual(s_resp_dict['@type'], self.collection_vocab) self.assertEqual(s_resp_dict['subClassOf'], 'hydra:Resource') def test_options_for_collection_resource_projection_operation_with_collect_operation(self): response = requests.options(self.controle_base_uri + "usuario-list/projection/nome,email/collect/nome&email/upper") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, self.collection_operation_names) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf', 'upper']) upper_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'upper') self.assertEquals(upper_context_keys, self.keys_from_attrs_context) nome_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_context_keys, self.keys_from_oper_context) response_dict = self.aux_get_dict_from_response(response) self.assertEqual(response_dict['@id'], 'https://schema.org/Thing') self.assertEqual(response_dict['@type'], self.collection_vocab) self.assertEqual(response_dict['subClassOf'], 'hydra:Resource') def test_options_for_collection_resource_projection_operation_with_collect_operation_projection_list_different_from_collect_list(self): response = requests.options(self.controle_base_uri + "usuario-list/projection/nome/collect/nome&email/upper") self.assertEquals(response.status_code, 400) def test_options_for_collection_resource_projection_operation_accept_octet_stream(self): implicit_projection_resp = requests.options(self.controle_base_uri + "usuario-list/nome,email", headers={"Accept": "application/octet-stream"}) self.assertEquals(implicit_projection_resp.status_code, 200) implicit_projection_resp_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(implicit_projection_resp_keys, self.non_simple_path_dict_keys) f_supported_operations_names = self.aux_get_supported_operations_names(implicit_projection_resp) self.assertEquals(f_supported_operations_names, []) f_acontext_keys = self.aux_get_keys_from_response_context(implicit_projection_resp) self.assertEquals(f_acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) f_email_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'email') self.assertEquals(f_email_context_keys, self.keys_from_attrs_context) f_nome_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'nome') self.assertEquals(f_nome_context_keys, self.keys_from_attrs_context) f_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, 'subClassOf') self.assertEquals(f_subClassOf_context_keys, self.keys_from_attrs_context) f_resp_dict = self.aux_get_dict_from_response(implicit_projection_resp) self.assertEqual(f_resp_dict['@id'], 'https://schema.org/Thing') self.assertEqual(f_resp_dict['@type'], self.collection_vocab) self.assertEqual(f_resp_dict['subClassOf'], 'hydra:Resource') # explicit projection explicit_projection_resp = requests.options(self.controle_base_uri + "usuario-list/projection/nome,email", headers={"Accept": "application/octet-stream"}) self.assertEquals(explicit_projection_resp.status_code, 200) explicit_projection_resp_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(explicit_projection_resp_keys, self.non_simple_path_dict_keys) s_supported_operations_names = self.aux_get_supported_operations_names(explicit_projection_resp) self.assertEquals(s_supported_operations_names, []) s_acontext_keys = self.aux_get_keys_from_response_context(explicit_projection_resp) self.assertEquals(s_acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) s_email_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'email') self.assertEquals(s_email_context_keys, self.keys_from_attrs_context) s_nome_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'nome') self.assertEquals(s_nome_context_keys, self.keys_from_attrs_context) s_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, 'subClassOf') self.assertEquals(s_subClassOf_context_keys, self.keys_from_oper_context) s_resp_dict = self.aux_get_dict_from_response(explicit_projection_resp) self.assertEqual(s_resp_dict['@id'], 'https://schema.org/Thing') self.assertEqual(s_resp_dict['@type'], self.collection_vocab) self.assertEqual(s_resp_dict['subClassOf'], 'hydra:Resource') def test_options_for_collection_resource_projection_operation_with_collect_operation_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "usuario-list/projection/nome,email/collect/nome&email/upper", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, []) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf', 'upper']) upper_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'upper') self.assertEquals(upper_context_keys, self.keys_from_attrs_context) nome_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_context_keys, self.keys_from_oper_context) response_dict = self.aux_get_dict_from_response(response) self.assertEqual(response_dict['@id'], 'https://schema.org/Thing') self.assertEqual(response_dict['@type'], self.collection_vocab) self.assertEqual(response_dict['subClassOf'], 'hydra:Resource') # --------------- TESTS FOR FEATURE COLLECTION --------------------------------- def test_options_for_feature_collection_projection_operation(self): implicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/nome,geom") self.assertEquals(implicit_projection_resp.status_code, 200) implicit_projection_resp_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(implicit_projection_resp_keys, self.non_simple_path_dict_keys) f_supported_operations_names = self.aux_get_supported_operations_names(implicit_projection_resp) self.assertEquals(f_supported_operations_names, self.spatial_collection_operation_names) f_acontext_keys = self.aux_get_keys_from_response_context(implicit_projection_resp) self.assertEquals(f_acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) #f_geom_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "geom") #self.assertEquals(f_geom_context_keys, self.keys_from_attrs_context) f_nome_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "nome") self.assertEquals(f_nome_context_keys, self.keys_from_attrs_context) f_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "subClassOf") self.assertEquals(f_subClassOf_context_keys, self.keys_from_attrs_context) f_response_dict = self.aux_get_dict_from_response(implicit_projection_resp) self.assertEquals(f_response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(f_response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(f_response_dict["subClassOf"], self.collection_vocab) # explicit projection explicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/projection/nome,geom") self.assertEquals(explicit_projection_resp.status_code, 200) explicit_projection_resp_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(explicit_projection_resp_keys, self.non_simple_path_dict_keys) s_supported_operations_names = self.aux_get_supported_operations_names(explicit_projection_resp) self.assertEquals(s_supported_operations_names, self.spatial_collection_operation_names) s_acontext_keys = self.aux_get_keys_from_response_context(explicit_projection_resp) self.assertEquals(s_acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) #s_geom_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, "geom") #self.assertEquals(s_geom_context_keys, self.keys_from_attrs_context) s_nome_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, "nome") self.assertEquals(s_nome_context_keys, self.keys_from_attrs_context) s_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, "subClassOf") self.assertEquals(s_subClassOf_context_keys, self.keys_from_oper_context) s_response_dict = self.aux_get_dict_from_response(explicit_projection_resp) self.assertEquals(s_response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(s_response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(s_response_dict["subClassOf"], self.collection_vocab) def test_options_for_feature_collection_projection_operation_only_geometric_attribute(self): implicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/geom") self.assertEquals(implicit_projection_resp.status_code, 200) implicit_projection_resp_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(implicit_projection_resp_keys, self.non_simple_path_dict_keys) f_supported_operations_names = self.aux_get_supported_operations_names(implicit_projection_resp) self.assertEquals(f_supported_operations_names, self.spatial_collection_operation_names) f_acontext_keys = self.aux_get_keys_from_response_context(implicit_projection_resp) self.assertEquals(f_acontext_keys, ['hydra', 'rdfs', 'subClassOf']) #f_geom_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "geom") #self.assertEquals(f_geom_context_keys, self.keys_from_attrs_context) f_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "subClassOf") self.assertEquals(f_subClassOf_context_keys, self.keys_from_attrs_context) f_response_dict = self.aux_get_dict_from_response(implicit_projection_resp) self.assertEquals(f_response_dict["@id"], "https://purl.org/geojson/vocab#geometry") self.assertEquals(f_response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(f_response_dict["subClassOf"], self.collection_vocab) # explicit projection explicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/projection/geom") self.assertEquals(explicit_projection_resp.status_code, 200) explicit_projection_resp_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(explicit_projection_resp_keys, self.non_simple_path_dict_keys) s_supported_operations_names = self.aux_get_supported_operations_names(explicit_projection_resp) self.assertEquals(s_supported_operations_names, self.spatial_collection_operation_names) s_acontext_keys = self.aux_get_keys_from_response_context(explicit_projection_resp) self.assertEquals(s_acontext_keys, ['hydra', 'rdfs', 'subClassOf']) #s_geom_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, "geom") #self.assertEquals(s_geom_context_keys, self.keys_from_attrs_context) s_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, "subClassOf") self.assertEquals(s_subClassOf_context_keys, self.keys_from_oper_context) s_response_dict = self.aux_get_dict_from_response(explicit_projection_resp) self.assertEquals(s_response_dict["@id"], "https://purl.org/geojson/vocab#geometry") self.assertEquals(s_response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(s_response_dict["subClassOf"], self.collection_vocab) def test_options_for_feature_collection_projection_operation_only_alphanumeric_attributes(self): implicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/nome") self.assertEquals(implicit_projection_resp.status_code, 200) implicit_projection_resp_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(implicit_projection_resp_keys, self.non_simple_path_dict_keys) f_supported_operations_names = self.aux_get_supported_operations_names(implicit_projection_resp) self.assertEquals(f_supported_operations_names, self.collection_operation_names) f_acontext_keys = self.aux_get_keys_from_response_context(implicit_projection_resp) self.assertEquals(f_acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) f_nome_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "nome") self.assertEquals(f_nome_context_keys, self.keys_from_attrs_context) f_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "subClassOf") self.assertEquals(f_subClassOf_context_keys, self.keys_from_attrs_context) f_response_dict = self.aux_get_dict_from_response(implicit_projection_resp) self.assertEqual(f_response_dict['@id'], 'https://schema.org/name') self.assertEqual(f_response_dict['@type'], self.collection_vocab) self.assertEqual(f_response_dict['subClassOf'], 'hydra:Resource') # explicit projection explicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/projection/nome") self.assertEquals(explicit_projection_resp.status_code, 200) explicit_projection_resp_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(explicit_projection_resp_keys, self.non_simple_path_dict_keys) s_supported_operations_names = self.aux_get_supported_operations_names(explicit_projection_resp) self.assertEquals(s_supported_operations_names, self.collection_operation_names) s_acontext_keys = self.aux_get_keys_from_response_context(explicit_projection_resp) self.assertEquals(s_acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) s_nome_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, "nome") self.assertEquals(s_nome_context_keys, self.keys_from_attrs_context) s_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, "subClassOf") self.assertEquals(s_subClassOf_context_keys, self.keys_from_oper_context) s_response_dict = self.aux_get_dict_from_response(explicit_projection_resp) self.assertEqual(s_response_dict['@id'], 'https://schema.org/name') self.assertEqual(s_response_dict['@type'], self.collection_vocab) self.assertEqual(s_response_dict['subClassOf'], 'hydra:Resource') def test_options_for_feature_collection_projection_operation_with_collect_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/projection/nome,geom/collect/nome&geom/buffer/0.2") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, self.spatial_collection_operation_names) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_context_keys = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertEquals(nome_context_keys, self.keys_from_attrs_context) #geom_context_keys = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertEquals(geom_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_oper_context) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_for_feature_collection_projection_operation_with_collect_operation_projection_list_different_from_collect_list(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/projection/nome,geom/collect/geom/buffer/0.2") self.assertEquals(response.status_code, 400) # Accept: application/octet-stream def test_options_for_feature_collection_projection_operation_accept_octet_stream(self): implicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/nome,geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(implicit_projection_resp.status_code, 200) implicit_projection_resp_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(implicit_projection_resp_keys, self.non_simple_path_dict_keys) f_supported_operations_names = self.aux_get_supported_operations_names(implicit_projection_resp) self.assertEquals(f_supported_operations_names, self.spatial_collection_operation_names) f_acontext_keys = self.aux_get_keys_from_response_context(implicit_projection_resp) self.assertEquals(f_acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) #f_geom_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "geom") #self.assertEquals(f_geom_context_keys, self.keys_from_attrs_context) f_nome_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "nome") self.assertEquals(f_nome_context_keys, self.keys_from_attrs_context) f_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "subClassOf") self.assertEquals(f_subClassOf_context_keys, self.keys_from_attrs_context) f_response_dict = self.aux_get_dict_from_response(implicit_projection_resp) self.assertEquals(f_response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(f_response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(f_response_dict["subClassOf"], self.collection_vocab) #explicit projection explicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/projection/nome,geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(explicit_projection_resp.status_code, 200) explicit_projection_resp_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(explicit_projection_resp_keys, self.non_simple_path_dict_keys) s_supported_operations_names = self.aux_get_supported_operations_names(explicit_projection_resp) self.assertEquals(s_supported_operations_names, self.spatial_collection_operation_names) s_acontext_keys = self.aux_get_keys_from_response_context(explicit_projection_resp) self.assertEquals(s_acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) #s_geom_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, "geom") #self.assertEquals(s_geom_context_keys, self.keys_from_attrs_context) s_nome_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, "nome") self.assertEquals(s_nome_context_keys, self.keys_from_attrs_context) s_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "subClassOf") self.assertEquals(s_subClassOf_context_keys, self.keys_from_attrs_context) s_response_dict = self.aux_get_dict_from_response(explicit_projection_resp) self.assertEquals(s_response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(s_response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(s_response_dict["subClassOf"], self.collection_vocab) def test_options_for_feature_collection_projection_operation_only_geometric_attribute_accept_octet_stream(self): implicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(implicit_projection_resp.status_code, 200) implicit_projection_resp_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(implicit_projection_resp_keys, self.non_simple_path_dict_keys) f_supported_operations_names = self.aux_get_supported_operations_names(implicit_projection_resp) self.assertEquals(f_supported_operations_names, self.spatial_collection_operation_names) f_acontext_keys = self.aux_get_keys_from_response_context(implicit_projection_resp) self.assertEquals(f_acontext_keys, ['hydra', 'rdfs', 'subClassOf']) #f_geom_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "geom") #self.assertEquals(f_geom_context_keys, self.keys_from_attrs_context) f_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "subClassOf") self.assertEquals(f_subClassOf_context_keys, self.keys_from_attrs_context) f_response_dict = self.aux_get_dict_from_response(implicit_projection_resp) self.assertEquals(f_response_dict["@id"], "https://purl.org/geojson/vocab#geometry") self.assertEquals(f_response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(f_response_dict["subClassOf"], self.collection_vocab) # explicit projection explicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/projection/geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(explicit_projection_resp.status_code, 200) explicit_projection_resp_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(explicit_projection_resp_keys, self.non_simple_path_dict_keys) s_supported_operations_names = self.aux_get_supported_operations_names(explicit_projection_resp) self.assertEquals(s_supported_operations_names, self.spatial_collection_operation_names) s_acontext_keys = self.aux_get_keys_from_response_context(explicit_projection_resp) self.assertEquals(s_acontext_keys, ['hydra', 'rdfs', 'subClassOf']) #s_geom_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, "geom") #self.assertEquals(s_geom_context_keys, self.keys_from_attrs_context) s_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, "subClassOf") self.assertEquals(s_subClassOf_context_keys, self.keys_from_oper_context) s_response_dict = self.aux_get_dict_from_response(explicit_projection_resp) self.assertEquals(s_response_dict["@id"], "https://purl.org/geojson/vocab#geometry") self.assertEquals(s_response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(s_response_dict["subClassOf"], self.collection_vocab) def test_options_for_feature_collection_projection_operation_only_alphanumeric_attributes_accept_octet_stream(self): implicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/nome", headers={"Accept": "application/octet-stream"}) self.assertEquals(implicit_projection_resp.status_code, 200) implicit_projection_resp_keys = self.aux_get_keys_from_response(implicit_projection_resp) self.assertEquals(implicit_projection_resp_keys, self.non_simple_path_dict_keys) f_supported_operations_names = self.aux_get_supported_operations_names(implicit_projection_resp) self.assertEquals(f_supported_operations_names, []) f_acontext_keys = self.aux_get_keys_from_response_context(implicit_projection_resp) self.assertEquals(f_acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) f_nome_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "nome") self.assertEquals(f_nome_context_keys, self.keys_from_attrs_context) f_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(implicit_projection_resp, "subClassOf") self.assertEquals(f_subClassOf_context_keys, self.keys_from_attrs_context) f_response_dict = self.aux_get_dict_from_response(implicit_projection_resp) self.assertEqual(f_response_dict['@id'], 'https://schema.org/name') self.assertEqual(f_response_dict['@type'], self.collection_vocab) self.assertEqual(f_response_dict['subClassOf'], 'hydra:Resource') # explicit projection explicit_projection_resp = requests.options(self.bcim_base_uri + "unidades-federativas/projection/nome", headers={"Accept": "application/octet-stream"}) self.assertEquals(explicit_projection_resp.status_code, 200) explicit_projection_resp_keys = self.aux_get_keys_from_response(explicit_projection_resp) self.assertEquals(explicit_projection_resp_keys, self.non_simple_path_dict_keys) s_supported_operations_names = self.aux_get_supported_operations_names(explicit_projection_resp) self.assertEquals(s_supported_operations_names, []) s_acontext_keys = self.aux_get_keys_from_response_context(explicit_projection_resp) self.assertEquals(s_acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) s_nome_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, "nome") self.assertEquals(s_nome_context_keys, self.keys_from_attrs_context) s_subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(explicit_projection_resp, "subClassOf") self.assertEquals(s_subClassOf_context_keys, self.keys_from_attrs_context) s_response_dict = self.aux_get_dict_from_response(explicit_projection_resp) self.assertEqual(s_response_dict['@id'], 'https://schema.org/name') self.assertEqual(s_response_dict['@type'], self.collection_vocab) self.assertEqual(s_response_dict['subClassOf'], 'hydra:Resource') def test_options_for_feature_collection_projection_operation_with_collect_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/projection/nome,geom/collect/nome&geom/buffer/0.2", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, self.spatial_collection_operation_names) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_context_keys = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertEquals(nome_context_keys, self.keys_from_attrs_context) #geom_context_keys = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertEquals(geom_context_keys, self.keys_from_attrs_context) subClassOf_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_context_keys, self.keys_from_oper_context) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) #python manage.py test hyper_resource.tests.FilterOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner class FilterOperationTest(AbstractRequestTest): def aux_get_attributes_from_features(self, response, attribute_name): response_dict = self.aux_get_dict_from_response(response) attrs_arr = [feature['properties'][attribute_name] for feature in response_dict['features'] ] return sorted(attrs_arr) def test_simple_filter(self): response = requests.get(self.bcim_base_uri + "unidades-federativas/filter/geocodigo/eq/22/") self.assertEquals(response.status_code, 200) names_list = self.aux_get_attributes_from_features(response, "nome") self.assertEquals(names_list, ["Piauí"]) def test_filter_with_or_operator(self): # Maranhão = 21 # Piauí = 22 response = requests.get(self.bcim_base_uri + "unidades-federativas/filter/geocodigo/eq/22/or/nome/eq/Maranhão/") self.assertEquals(response.status_code, 200) names_list = self.aux_get_attributes_from_features(response, "nome") self.assertEquals(names_list, ["Maranhão", "Piauí"]) def test_filter_with_and_operator(self): # Maranhão = 21 # Piauí = 22 response = requests.get(self.bcim_base_uri + "unidades-federativas/filter/geocodigo/eq/22/and/nome/eq/Maranhão/") self.assertEquals(response.status_code, 200) names_list = self.aux_get_attributes_from_features(response, "nome") self.assertEquals(names_list, []) # WARNING: This test don't pass and this problem must be solved by the url interpretor def test_precedence_between_AND_operator_and_OR_operator(self): ''' Independent of which order you put AND or OR operator, the result must be the same (AND operator is always be the first to be considered) # Maranhão = 21 # Piauí = 22 ''' response = requests.get(self.bcim_base_uri + "unidades-federativas/filter/geocodigo/eq/22/or/nome/eq/Maranhão/and/geocodigo/eq/21/") self.assertEquals(response.status_code, 200) names_list = self.aux_get_attributes_from_features(response, "nome") self.assertEquals(names_list, ["Maranhão", "Piauí"]) response = requests.get(self.bcim_base_uri + "unidades-federativas/filter/nome/eq/Maranhão/and/geocodigo/eq/21/or/geocodigo/eq/22/") self.assertEquals(response.status_code, 200) names_list = self.aux_get_attributes_from_features(response, "nome") self.assertEquals(names_list, ["Maranhão", "Piauí"]) #python manage.py test hyper_resource.tests.JoinOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner class JoinOperationTest(AbstractGetRequestTest): def setUp(self): super(JoinOperationTest, self).setUp() self.pesquisa_esporte_base_url = "http://172.30.10.86/esporte-list/" self.munic_2015_base_uri = "http://172.30.10.86/api/munic-2015/" self.pib_municipio_base_uri = "http://172.30.10.86/api/pib-municipio/" self.feature_keys = ["geometry", "id", "properties", "type"] def aux_get_first_joined_dict_attributes_from_first_feature(self, response): first_feature = self.aux_get_first_feature(response) first_joined_alfa_dict = first_feature['properties']['__joined__'][0] return sorted( list(first_joined_alfa_dict.keys()) ) def aux_get_first_feature_joined_length(self, response): first_feature = self.aux_get_first_feature(response) return len(first_feature['properties']['__joined__']) def aux_get_first_joined_dict_attributes_from_single_element_response(self, response): first_element = self.aux_get_single_element_from_response(response) return sorted( first_element["__joined__"][0].keys() ) def aux_get_first_joined_dict_attributes_from_first_element_response(self, response): first_element = self.aux_get_first_element_from_response_list(response) return sorted( list(first_element["__joined__"][0].keys()) ) def aux_get_single_element_joined_length(self, response): first_element = self.aux_get_single_element_from_response(response) return len(first_element['__joined__']) # --------------- TESTS FOR NON SPATIAL RESOURCE --------------------------------- def test_join_operation_for_non_spatial_resource_one_to_one_rel(self): response = requests.get(self.controle_base_uri + "gasto-list/7/join/cod_municipio&geocodigo/" + self.munic_2015_base_uri + "variaveis-externas-list/3243") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/json') first_element_keys = self.aux_get_sigle_element_keys_from_response(response) self.assertEquals(first_element_keys, ['__joined__', 'cod_municipio', 'data', 'id', 'tipo_gasto', 'usuario', 'valor']) joined_dicts_len = self.aux_get_single_element_joined_length(response) self.assertEquals(joined_dicts_len, 1) joined_attrs_list = self.aux_get_first_joined_dict_attributes_from_single_element_response(response) self.assertEquals(joined_attrs_list, ['classe_tama_populacao_estimada_2015', 'codfigo_uf', 'geocodigo', 'id_variaveis_externas', 'nome_municipio', 'populacao_estimada_2015', 'regiao', 'sigla_unidade_federacao']) def test_join_operation_for_non_spatial_resource_one_to_one_rel_accept_octet_stream(self): response = requests.get(self.controle_base_uri + "gasto-list/7/join/cod_municipio&geocodigo/" + self.munic_2015_base_uri + "variaveis-externas-list/3243", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') def test_join_operation_for_non_spatial_resource_one_to_many_rel(self): response = requests.get(self.controle_base_uri + "gasto-list/7/join/cod_municipio&cod_municipio/" + self.pib_municipio_base_uri + "faturamento-list/filter/cod_municipio/eq/3304557/") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/json') first_element_keys = self.aux_get_sigle_element_keys_from_response(response) self.assertEquals(first_element_keys, ['__joined__', 'cod_municipio', 'data', 'id', 'tipo_gasto', 'usuario', 'valor']) joined_dicts_len = self.aux_get_single_element_joined_length(response) self.assertEquals(joined_dicts_len, 6) joined_attrs_list = self.aux_get_first_joined_dict_attributes_from_single_element_response(response) self.assertEquals(joined_attrs_list, ['ano', 'cod_municipio', 'id', 'id_municipio', 'impostos_produtos', 'num_habitantes', 'valor_bruto_adm', 'valor_bruto_agro', 'valor_bruto_ind', 'valor_bruto_serv']) def test_join_operation_for_non_spatial_resource_one_to_many_rel_accept_octet_stream(self): response = requests.get(self.controle_base_uri + "gasto-list/7/join/cod_municipio&cod_municipio/" + self.pib_municipio_base_uri + "faturamento-list/filter/cod_municipio/eq/3304557/", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') # --------------- TESTS FOR COLLECTION RESOURCE --------------------------------- def test_join_operations_for_collection_resource_one_to_one_rel(self): response = requests.get(self.controle_base_uri + "gasto-list/join/cod_municipio&geocodigo/" + self.munic_2015_base_uri + "variaveis-externas-list/") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/json') first_element_keys = self.aux_get_first_element_keys_from_response_list(response) self.assertEquals(first_element_keys, ['__joined__', 'cod_municipio', 'data', 'id', 'tipo_gasto', 'usuario', 'valor']) joined_dicts_len = self.aux_get_first_element_joined_length(response) self.assertEquals(joined_dicts_len, 1) joined_attrs_list = self.aux_get_first_joined_dict_attributes_from_first_element_response(response) self.assertEquals(joined_attrs_list, ['classe_tama_populacao_estimada_2015', 'codfigo_uf', 'geocodigo', 'id_variaveis_externas', 'nome_municipio', 'populacao_estimada_2015', 'regiao', 'sigla_unidade_federacao']) def test_join_operations_for_collection_resource_one_to_one_rel_accept_octet_stream(self): response = requests.get(self.controle_base_uri + "gasto-list/join/cod_municipio&geocodigo/" + self.munic_2015_base_uri + "variaveis-externas-list/", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') def test_join_operations_for_collection_resource_one_to_many_rel(self): response = requests.get(self.controle_base_uri + "gasto-list/join/cod_municipio&cod_municipio/" + self.pib_municipio_base_uri + "faturamento-list/filter/cod_municipio/in/3550308&3304557") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/json') first_element_keys = self.aux_get_first_element_keys_from_response_list(response) self.assertEquals(first_element_keys, ['__joined__', 'cod_municipio', 'data', 'id', 'tipo_gasto', 'usuario', 'valor']) joined_dicts_len = self.aux_get_first_element_joined_length(response) self.assertEquals(joined_dicts_len, 6) joined_attrs_list = self.aux_get_first_joined_dict_attributes_from_first_element_response(response) self.assertEquals(joined_attrs_list, ['ano', 'cod_municipio', 'id', 'id_municipio', 'impostos_produtos', 'num_habitantes', 'valor_bruto_adm', 'valor_bruto_agro', 'valor_bruto_ind', 'valor_bruto_serv']) def test_join_operations_for_collection_resource_one_to_many_rel_accept_octet_stream(self): response = requests.get(self.controle_base_uri + "gasto-list/join/cod_municipio&cod_municipio/" + self.pib_municipio_base_uri + "faturamento-list/filter/cod_municipio/in/3550308&3304557", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') # --------------- TESTS FOR FEATURE RESOURCE --------------------------------- def test_join_operation_for_feature_resource_one_to_one_rel(self): response = requests.get(self.bcim_base_uri + "municipios/3304557/join/geocodigo&geocodigo/" + self.munic_2015_base_uri + "planejamento-urbano-list/3243/") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/vnd.geo+json') response_dict_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_dict_keys, self.feature_keys) feature_properties_keys = self.aux_get_first_feature_properties_keys(response) self.assertEquals(feature_properties_keys, ["__joined__", "anodereferencia", "geocodigo", "geometriaaproximada", "nome", "nomeabrev"]) joined_dicts_len = self.aux_get_first_feature_joined_length(response) self.assertEquals(joined_dicts_len, 1) joined_alfanumeric_attrs = self.aux_get_first_joined_dict_attributes_from_first_feature(response) self.assertEquals(joined_alfanumeric_attrs, ['ano_lei_codigo_obras', 'ano_lei_criacao', 'ano_lei_legis_sob_area_zona_espe_inte_social', 'ano_lei_legis_sob_zona_area_espe_inter', 'ano_lei_legis_sobre_parc_solo', 'ano_lei_legis_sobre_zone_uso_ocupa_solo', 'ano_lei_legislacao_sobre_contri_melhoria', 'ano_lei_legislacao_sobre_dire_superficie', 'ano_lei_legislacao_sobre_estu_impa_vizinhanca', 'ano_lei_legislacao_sobre_estu_pre_impa_ambiental', 'ano_lei_legislacao_sobre_legitimacao_posse', 'ano_lei_legislacao_sobre_ope_urba_consorciada', 'ano_lei_legislacao_sobre_regula_fundiaria', 'ano_lei_legislacao_sobre_servi_administrativa', 'ano_lei_legislacao_sobre_solo_cria_outorga_onerosa_dir_construi', 'ano_lei_legislacao_sobre_tombamento', 'ano_lei_legislacao_sobre_uni_conservacao', 'ano_lei_legislacao_sobre_usuca_espe_imovel_urbano', 'ano_lei_legislacao_sobre_zonea_ambi_zonea_ecologico_economico', 'ano_lei_lei_perimetro_urba', 'ano_leilegislacao_sobre_conce_uso_espe_fins_moradia', 'ano_ultima_atualizacao', 'caract_orgao_gestor_plane_urba_munic', 'codigo_municipio', 'codigo_obras_existencia', 'codigo_uf', 'geocodigo', 'id_planejamento_urbano', 'informacoes_sob_gestor_escolaridade', 'legis_sobre_parc_solo_existencia', 'legislacao_sobre_area_zona_espec_inter_social_existencia', 'legislacao_sobre_conce_uso_espe_fins_moradia', 'legislacao_sobre_contri_melhoria_existencia', 'legislacao_sobre_dire_superficie', 'legislacao_sobre_estu_impa_vizinhanca_existencia', 'legislacao_sobre_estu_pre_impa_ambiental', 'legislacao_sobre_legitimacao_posse', 'legislacao_sobre_ope_urba_consorciada_existencia', 'legislacao_sobre_regula_fundiaria', 'legislacao_sobre_servi_administrativa', 'legislacao_sobre_solo_cria_outorga_onerosa_dir_construir_exist', 'legislacao_sobre_tombamento', 'legislacao_sobre_uni_conservacao', 'legislacao_sobre_usuca_espe_imovel_urbano', 'legislacao_sobre_zona_area_espe_inter_existencia', 'legislacao_sobre_zone_uso_ocupa_solo_existencia', 'legislacao_sobre_zonea_ambi_zonea_ecologico_economico', 'lei_perimetro_urba_existencia', 'nome', 'o_municipio_elabo_plano_diretor', 'plano_diretor_existencia'] ) def test_join_operation_for_feature_resource_one_to_one_rel_accept_octet_stream(self): response = requests.get(self.bcim_base_uri + "municipios/3304557/join/geocodigo&geocodigo/" + self.munic_2015_base_uri + "planejamento-urbano-list/3243/", headers={"accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') def test_join_operation_for_feature_resource_one_to_many_rel(self): response = requests.get(self.bcim_base_uri + "municipios/3304557/join/geocodigo&cod_municipio/" + self.pib_municipio_base_uri + "faturamento-list/filter/cod_municipio/eq/3304557") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/vnd.geo+json') response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.feature_keys) feature_properties_keys = self.aux_get_first_feature_properties_keys(response) self.assertEquals(feature_properties_keys, ['__joined__', 'anodereferencia', 'geocodigo', 'geometriaaproximada', 'nome', 'nomeabrev']) joined_dicts_len = self.aux_get_first_feature_joined_length(response) self.assertEquals(joined_dicts_len, 6) joined_dict_attrs = self.aux_get_first_joined_dict_attributes_from_first_feature(response) self.assertEquals(joined_dict_attrs, ['ano', 'cod_municipio', 'id', 'id_municipio', 'impostos_produtos', 'num_habitantes', 'valor_bruto_adm', 'valor_bruto_agro', 'valor_bruto_ind', 'valor_bruto_serv']) def test_join_operation_for_feature_resource_one_to_many_rel_accept_octet_stream(self): response = requests.get(self.bcim_base_uri + "municipios/3304557/join/geocodigo&cod_municipio/" + self.pib_municipio_base_uri + "faturamento-list/filter/cod_municipio/eq/3304557", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') # --------------- TESTS FOR FEATURE COLLECTION --------------------------------- def test_join_operation_for_feature_collection_one_to_one_rel(self): response = requests.get(self.bcim_base_uri + "unidades-federativas/filter/sigla/in/RJ&ES&MG/join/geocodigo&cod_estado/" + self.pesquisa_esporte_base_url + "cond-funcionamento-list/filter/cod_estado/in/31&32&33&35/") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/vnd.geo+json') response_dict_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_dict_keys, self.feature_collection_keys) first_feature_keys = self.aux_get_first_feature_keys(response) self.assertEquals(first_feature_keys, self.feature_keys) first_feature_properties_keys = self.aux_get_first_feature_properties_keys(response) self.assertEquals(first_feature_properties_keys, ["__joined__", "geocodigo", "geometriaaproximada", "nome", "nomeabrev", "sigla"]) joined_alfanumeric_attrs = self.aux_get_first_joined_dict_attributes_from_first_feature(response) self.assertEquals(joined_alfanumeric_attrs, ['ano', 'autodromo_func', 'autodromo_parado', 'cod_estado', 'compl_aqua_func', 'compl_aqua_parado', 'compl_esp_func', 'compl_esp_parado', 'est_func', 'est_parado', 'gin_func', 'gin_parado', 'id', 'id_estado', 'kartodromo_func', 'kartodromo_parado'] ) def test_join_operation_for_feature_collection_one_to_one_rel_accept_octet_stream(self): response = requests.get(self.bcim_base_uri + "unidades-federativas/filter/sigla/in/RJ&ES&MG/join/geocodigo&cod_estado/" + self.pesquisa_esporte_base_url + "cond-funcionamento-list/filter/cod_estado/in/31&32&33&35/", headers={"accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers['content-type'], 'application/octet-stream') def test_join_operation_for_feature_collection_one_to_many_rel(self): response = requests.get(self.bcim_base_uri + "municipios/filter/nome/in/Rio de Janeiro&Belo Horizonte&Sรฃo Paulo/join/geocodigo&cod_municipio/" + self.pib_municipio_base_uri + "faturamento-list/filter/cod_municipio/in/3304557&3106200&3550308&4106902") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers["content-type"], 'application/vnd.geo+json') response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.feature_collection_keys) first_feature_keys = self.aux_get_first_feature_keys(response) self.assertEquals(first_feature_keys, self.feature_keys) first_feature_properties_keys = self.aux_get_first_feature_properties_keys(response) self.assertEquals(first_feature_properties_keys, ["__joined__", "anodereferencia", "geocodigo", "geometriaaproximada", "nome", "nomeabrev"]) joined_dicts_len = self.aux_get_first_feature_joined_length(response) self.assertEquals(joined_dicts_len, 6) joined_dict_attrs = self.aux_get_first_joined_dict_attributes_from_first_feature(response) self.assertEquals(joined_dict_attrs, ['ano', 'cod_municipio', 'id', 'id_municipio', 'impostos_produtos', 'num_habitantes', 'valor_bruto_adm', 'valor_bruto_agro', 'valor_bruto_ind', 'valor_bruto_serv']) def test_join_operation_for_feature_collection_one_to_many_rel_accept_octet_stream(self): response = requests.get(self.bcim_base_uri + "municipios/filter/nome/in/Rio de Janeiro&Belo Horizonte&Sรฃo Paulo/join/geocodigo&cod_municipio/" + self.pib_municipio_base_uri + "faturamento-list/filter/cod_municipio/in/3304557&3106200&3550308&4106902", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers["content-type"], 'application/octet-stream') #python manage.py test hyper_resource.tests.OptionsForJoinOperationTest --testrunner=hyper_resource.tests.NoDbTestRunner class OptionsForJoinOperationTest(AbstractOptionsRequestTest): def setUp(self): super(OptionsForJoinOperationTest, self).setUp() self.pesquisa_esporte_base_url = "http://172.30.10.86/esporte-list/" self.munic_2015_base_uri = "http://172.30.10.86/api/munic-2015/" self.pib_municipio_base_uri = "http://172.30.10.86/api/pib-municipio/" self.keys_from_external_attr_context = ['@id', '@type', self.link_vocab, 'hydra:method'] # --------------- TESTS FOR FEATURE RESOURCE --------------------------------- # todo: provisory test, full context must be implemented def test_options_for_feature_resource_join_operation_one_to_one_rel(self): response = requests.options(self.bcim_base_uri + "municipios/3304557/join/geocodigo&geocodigo/" + self.munic_2015_base_uri + "planejamento-urbano-list/3243/") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.simple_path_options_dict_keys) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, self.spatial_operation_names) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['anodereferencia', 'geocodigo', 'geom', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev']) geocodigo_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "geocodigo") self.assertEquals(geocodigo_acontext_keys, self.keys_from_attrs_context) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") # todo: test for join full context ''' response = requests.options(self.bcim_base_uri + "municipios/3304557/join/geocodigo&geocodigo/" + self.munic_2015_base_uri + "planejamento-urbano-list/3243/") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, self.spatial_operation_names) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['ano_lei_codigo_obras', 'ano_lei_criacao', 'ano_lei_legis_sob_area_zona_espe_inte_social', 'ano_lei_legis_sob_zona_area_espe_inter', 'ano_lei_legis_sobre_parc_solo', 'ano_lei_legis_sobre_zone_uso_ocupa_solo', 'ano_lei_legislacao_sobre_contri_melhoria', 'ano_lei_legislacao_sobre_dire_superficie', 'ano_lei_legislacao_sobre_estu_impa_vizinhanca', 'ano_lei_legislacao_sobre_estu_pre_impa_ambiental', 'ano_lei_legislacao_sobre_legitimacao_posse', 'ano_lei_legislacao_sobre_ope_urba_consorciada', 'ano_lei_legislacao_sobre_regula_fundiaria', 'ano_lei_legislacao_sobre_servi_administrativa', 'ano_lei_legislacao_sobre_solo_cria_outorga_onerosa_dir_construi', 'ano_lei_legislacao_sobre_tombamento', 'ano_lei_legislacao_sobre_uni_conservacao', 'ano_lei_legislacao_sobre_usuca_espe_imovel_urbano', 'ano_lei_legislacao_sobre_zonea_ambi_zonea_ecologico_economico', 'ano_lei_lei_perimetro_urba', 'ano_leilegislacao_sobre_conce_uso_espe_fins_moradia', 'ano_ultima_atualizacao', 'anodereferencia', 'caract_orgao_gestor_plane_urba_munic', 'codigo_municipio', 'codigo_obras_existencia', 'codigo_uf', 'geocodigo', 'geom', 'geometriaaproximada', 'http://172.30.10.86/api/munic-2015/planejamento-urbano-list/3243/:geocodigo', 'http://172.30.10.86/api/munic-2015/planejamento-urbano-list/3243/:nome', 'id_objeto', 'id_planejamento_urbano', 'informacoes_sob_gestor_escolaridade', 'iri_metadata', 'iri_style', 'legis_sobre_parc_solo_existencia', 'legislacao_sobre_area_zona_espec_inter_social_existencia', 'legislacao_sobre_conce_uso_espe_fins_moradia', 'legislacao_sobre_contri_melhoria_existencia', 'legislacao_sobre_dire_superficie', 'legislacao_sobre_estu_impa_vizinhanca_existencia', 'legislacao_sobre_estu_pre_impa_ambiental', 'legislacao_sobre_legitimacao_posse', 'legislacao_sobre_ope_urba_consorciada_existencia', 'legislacao_sobre_regula_fundiaria', 'legislacao_sobre_servi_administrativa', 'legislacao_sobre_solo_cria_outorga_onerosa_dir_construir_exist', 'legislacao_sobre_tombamento', 'legislacao_sobre_uni_conservacao', 'legislacao_sobre_usuca_espe_imovel_urbano', 'legislacao_sobre_zona_area_espe_inter_existencia', 'legislacao_sobre_zone_uso_ocupa_solo_existencia', 'legislacao_sobre_zonea_ambi_zonea_ecologico_economico', 'lei_perimetro_urba_existencia', 'nome', 'nomeabrev', 'o_municipio_elabo_plano_diretor', 'plano_diretor_existencia']) # 'geocodigo' is present in the feature and in the external resourse, hence 'geocodigo' in the external resource must be preffixed external_geocodigo_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "http://172.30.10.86/api/munic-2015/planejamento-urbano-list/3243/:geocodigo") self.assertEquals(external_geocodigo_acontext_keys, self.keys_from_external_attr_context) external_codigo_municipio_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "codigo_municipio") self.assertEquals(external_codigo_municipio_acontext_keys, self.keys_from_external_attr_context) # 'geocodigo' (without preffix) comes from the feature geocodigo_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "geocodigo") self.assertEquals(geocodigo_acontext_keys, self.keys_from_attrs_context) join_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "join") self.assertEquals(join_acontext_keys, self.keys_from_oper_context) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@type"], "Feature") ''' """ def test_options_for_feature_resource_join_operation_one_to_many_rel(self): response = requests.options(self.bcim_base_uri + "municipios/3304557/join/geocodigo&cod_municipio/" + self.pib_municipio_base_uri + "faturamento-list/filter/cod_municipio/eq/3304557") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, self.spatial_operation_names) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['ano_lei_codigo_obras', 'ano_lei_criacao', 'ano_lei_legis_sob_area_zona_espe_inte_social', 'ano_lei_legis_sob_zona_area_espe_inter', 'ano_lei_legis_sobre_parc_solo', 'ano_lei_legis_sobre_zone_uso_ocupa_solo', 'ano_lei_legislacao_sobre_contri_melhoria', 'ano_lei_legislacao_sobre_dire_superficie', 'ano_lei_legislacao_sobre_estu_impa_vizinhanca', 'ano_lei_legislacao_sobre_estu_pre_impa_ambiental', 'ano_lei_legislacao_sobre_legitimacao_posse', 'ano_lei_legislacao_sobre_ope_urba_consorciada', 'ano_lei_legislacao_sobre_regula_fundiaria', 'ano_lei_legislacao_sobre_servi_administrativa', 'ano_lei_legislacao_sobre_solo_cria_outorga_onerosa_dir_construi', 'ano_lei_legislacao_sobre_tombamento', 'ano_lei_legislacao_sobre_uni_conservacao', 'ano_lei_legislacao_sobre_usuca_espe_imovel_urbano', 'ano_lei_legislacao_sobre_zonea_ambi_zonea_ecologico_economico', 'ano_lei_lei_perimetro_urba', 'ano_leilegislacao_sobre_conce_uso_espe_fins_moradia', 'ano_ultima_atualizacao', 'caract_orgao_gestor_plane_urba_munic', 'codigo_municipio', 'codigo_obras_existencia', 'codigo_uf', 'http://172.30.10.86/api/pib-municipio/faturamento-list:geocodigo', 'id_planejamento_urbano', 'informacoes_sob_gestor_escolaridade', 'legis_sobre_parc_solo_existencia', 'legislacao_sobre_area_zona_espec_inter_social_existencia', 'legislacao_sobre_conce_uso_espe_fins_moradia', 'legislacao_sobre_contri_melhoria_existencia', 'legislacao_sobre_dire_superficie', 'legislacao_sobre_estu_impa_vizinhanca_existencia', 'legislacao_sobre_estu_pre_impa_ambiental', 'legislacao_sobre_legitimacao_posse', 'legislacao_sobre_ope_urba_consorciada_existencia', 'legislacao_sobre_regula_fundiaria', 'legislacao_sobre_servi_administrativa', 'legislacao_sobre_solo_cria_outorga_onerosa_dir_construir_exist', 'legislacao_sobre_tombamento', 'legislacao_sobre_uni_conservacao', 'legislacao_sobre_usuca_espe_imovel_urbano', 'legislacao_sobre_zona_area_espe_inter_existencia', 'legislacao_sobre_zone_uso_ocupa_solo_existencia', 'legislacao_sobre_zonea_ambi_zonea_ecologico_economico', 'lei_perimetro_urba_existencia', '(joined) nome', # same attribute name on different resources 'o_municipio_elabo_plano_diretor', 'plano_diretor_existencia', 'anodereferencia', 'geocodigo', 'geom', 'geometriaaproximada', 'id_objeto', 'iri_metadata', 'iri_style', 'nome', 'nomeabrev', 'spatialize']) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@type"], "Feature") def test_options_for_feature_resource_join_operation__one_to_one_rel_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "municipios/3304557/join/geocodigo&geocodigo/" + self.munic_2015_base_uri + "planejamento-urbano-list/3243/", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, self.spatial_operation_names) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['(joined) ano_lei_codigo_obras', '(joined) ano_lei_criacao', '(joined) ano_lei_legis_sob_area_zona_espe_inte_social', '(joined) ano_lei_legis_sob_zona_area_espe_inter', '(joined) ano_lei_legis_sobre_parc_solo', '(joined) ano_lei_legis_sobre_zone_uso_ocupa_solo', '(joined) ano_lei_legislacao_sobre_contri_melhoria', '(joined) ano_lei_legislacao_sobre_dire_superficie', '(joined) ano_lei_legislacao_sobre_estu_impa_vizinhanca', '(joined) ano_lei_legislacao_sobre_estu_pre_impa_ambiental', '(joined) ano_lei_legislacao_sobre_legitimacao_posse', '(joined) ano_lei_legislacao_sobre_ope_urba_consorciada', '(joined) ano_lei_legislacao_sobre_regula_fundiaria', '(joined) ano_lei_legislacao_sobre_servi_administrativa', '(joined) ano_lei_legislacao_sobre_solo_cria_outorga_onerosa_dir_construi', '(joined) ano_lei_legislacao_sobre_tombamento', '(joined) ano_lei_legislacao_sobre_uni_conservacao', '(joined) ano_lei_legislacao_sobre_usuca_espe_imovel_urbano', '(joined) ano_lei_legislacao_sobre_zonea_ambi_zonea_ecologico_economico', '(joined) ano_lei_lei_perimetro_urba', '(joined) ano_leilegislacao_sobre_conce_uso_espe_fins_moradia', '(joined) ano_ultima_atualizacao', '(joined) caract_orgao_gestor_plane_urba_munic', '(joined) codigo_municipio', '(joined) codigo_obras_existencia', '(joined) codigo_uf', '(joined) geocodigo', '(joined) id_planejamento_urbano', '(joined) informacoes_sob_gestor_escolaridade', '(joined) legis_sobre_parc_solo_existencia', '(joined) legislacao_sobre_area_zona_espec_inter_social_existencia', '(joined) legislacao_sobre_conce_uso_espe_fins_moradia', '(joined) legislacao_sobre_contri_melhoria_existencia', '(joined) legislacao_sobre_dire_superficie', '(joined) legislacao_sobre_estu_impa_vizinhanca_existencia', '(joined) legislacao_sobre_estu_pre_impa_ambiental', '(joined) legislacao_sobre_legitimacao_posse', '(joined) legislacao_sobre_ope_urba_consorciada_existencia', '(joined) legislacao_sobre_regula_fundiaria', '(joined) legislacao_sobre_servi_administrativa', '(joined) legislacao_sobre_solo_cria_outorga_onerosa_dir_construir_exist', '(joined) legislacao_sobre_tombamento', '(joined) legislacao_sobre_uni_conservacao', '(joined) legislacao_sobre_usuca_espe_imovel_urbano', '(joined) legislacao_sobre_zona_area_espe_inter_existencia', '(joined) legislacao_sobre_zone_uso_ocupa_solo_existencia', '(joined) legislacao_sobre_zonea_ambi_zonea_ecologico_economico', '(joined) lei_perimetro_urba_existencia', '(joined) nome', # same attribute name on different resources '(joined) o_municipio_elabo_plano_diretor', '(joined) plano_diretor_existencia', 'anodereferencia', 'geocodigo', 'geom', 'geometriaaproximada', 'id_objeto', 'iri_metadata', 'iri_style', 'nome', 'nomeabrev', 'spatialize']) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@type"], "Geobuf") # --------------- TESTS FOR FEATURE COLLECTION --------------------------------- def test_join_operation_with_filter(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/filter/sigla/in/RJ&ES&MG/join/geocodigo&cod_estado/" + self.pesquisa_esporte_base_url + "cond-funcionamento-list/filter/cod_estado/in/31&32&33&35/") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["join"]) join_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, 'join') self.assertListEqual(join_context_keys_list, ["@id", "@type"]) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@type"], 'FeatureCollection') """ # RESOURCE TYPES TEST (GET, HEAD and OPTIONS requests) # EntryPointResource #python manage.py test hyper_resource.tests.EntryPointTest --testrunner=hyper_resource.tests.NoDbTestRunner class EntryPointTest(AbstractGetRequestTest): # simple path def test_entry_point_resource_simple_path(self): response = requests.get(self.controle_base_uri) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, ['gasto-list', 'tipo-gasto-list', 'usuario-list']) def test_entry_point_resource_simple_path_accept_octet_stream(self): response = requests.get(self.controle_base_uri, headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) def test_entry_point_resource_simple_path_accept_image_png(self): pass # operations def test_entry_point_resource_count_resource_operation(self): response = requests.get(self.controle_base_uri + 'count-resource') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, ['count-resource']) def test_entry_point_resource_count_resource_operation_accept_octet_stream(self): response = requests.get(self.controle_base_uri + 'count-resource') self.assertEquals(response.status_code, 200) def test_entry_point_resource_count_resource_operation_accept_image_png(self): pass #python manage.py test hyper_resource.tests.OptionsEntryPointTest --testrunner=hyper_resource.tests.NoDbTestRunner class OptionsEntryPointTest(AbstractOptionsRequestTest): ''' Class for tests every possible OPTIONS request for EntryPointResource ''' # simple path def test_options_for_entry_point_resource_simple_path(self): response = requests.options(self.controle_base_uri) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['gasto-list', 'hydra', 'rdfs', 'subClassOf', 'tipo-gasto-list', 'usuario-list']) gasto_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'gasto-list') # for each key of the entrypoint {@type: hydra:link} self.assertEquals(gasto_acontext_keys, self.keys_from_attrs_context) tipo_gasto_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'tipo-gasto-list') self.assertEquals(tipo_gasto_acontext_keys, self.keys_from_attrs_context) usuario_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'usuario-list') self.assertEquals(usuario_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) suppoorted_property_keys = self.aux_get_supported_property_keys(response) self.assertListEqual(suppoorted_property_keys, self.expected_supported_property_keys) suppoerted_properties_names = self.aux_get_supported_properties_names(response) self.assertListEqual(suppoerted_properties_names, ['gasto-list', 'tipo-gasto-list', 'usuario-list']) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.entrypoint_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], self.link_vocab) self.assertEquals(response_dict["@type"], self.entrypoint_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # operations def test_options_for_entry_point_resource_count_resource_operation(self): response = requests.options(self.controle_base_uri + "count-resource") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['count-resource', 'hydra', 'rdfs', 'subClassOf']) count_resource_resource_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'count-resource') self.assertEquals(count_resource_resource_acontext_keys, self.keys_from_oper_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_oper_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "hydra:totalItems") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # simple path (binary) def test_options_for_entry_point_resource_simple_path_accept_octet_stream(self): response = requests.options(self.controle_base_uri, headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['gasto-list', 'hydra', 'rdfs', 'subClassOf', 'tipo-gasto-list', 'usuario-list']) gasto_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'gasto-list') self.assertEquals(gasto_acontext_keys, self.keys_from_attrs_context) tipo_gasto_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'tipo-gasto-list') self.assertEquals(tipo_gasto_acontext_keys, self.keys_from_attrs_context) usuario_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'usuario-list') self.assertEquals(usuario_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) suppoorted_property_keys = self.aux_get_supported_property_keys(response) self.assertListEqual(suppoorted_property_keys, self.expected_supported_property_keys) suppoerted_properties_names = self.aux_get_supported_properties_names(response) self.assertListEqual(suppoerted_properties_names, ['gasto-list', 'tipo-gasto-list', 'usuario-list']) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], self.link_vocab) self.assertEquals(response_dict["@type"], self.entrypoint_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # operations (binary) def test_options_for_entry_point_resource_count_resource_operation_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "count-resource", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['count-resource', 'hydra', 'rdfs', 'subClassOf']) count_resource_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'count-resource') self.assertEquals(count_resource_acontext_keys, self.keys_from_oper_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "hydra:totalItems") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # simple path (image) def test_options_for_entry_point_resource_simple_path_accept_image_png(self): pass # operations (image) def test_options_for_entry_point_resource_count_resource_operation_accept_image_png(self): pass #python manage.py test hyper_resource.tests.HeadEntryPointTest --testrunner=hyper_resource.tests.NoDbTestRunner class HeadEntryPointTest(AbstractHeadRequestTest): # simple path def test_head_for_entry_point_resource_simple_path(self): response_head = requests.head(self.controle_base_uri) self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.controle_base_uri) self.assertEquals(response_get.status_code, 200) response_options = requests.options(self.controle_base_uri) self.assertEquals(response_options.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) options_headers = self.aux_get_headers_list_from_response(response_options) self.assertListEqual(head_headers, get_headers) self.assertListEqual(head_headers, options_headers) # compare HEAD with GET headers self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) # compare HEAD with OPTIONS headers self.assertEquals(response_head.headers["access-control-allow-headers"], response_options.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_options.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_options.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_options.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_options.headers["allow"]) self.assertEquals(response_head.headers["link"], response_options.headers["link"]) self.assertEquals(response_head.headers["server"], response_options.headers["server"]) self.assertEquals(response_head.headers["vary"], response_options.headers["vary"]) self.assertIn("Date", options_headers) self.assertIn("Content-Type", options_headers) def test_head_for_entry_point_resource_simple_path_accept_octet_stream(self): response_head = requests.head(self.controle_base_uri, headers={"Accept": "application/octet-stream"}) self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.controle_base_uri, headers={"Accept": "application/octet-stream"}) self.assertEquals(response_get.status_code, 200) response_options = requests.options(self.controle_base_uri, headers={"Accept": "application/octet-stream"}) self.assertEquals(response_options.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) options_headers = self.aux_get_headers_list_from_response(response_options) self.assertListEqual(head_headers, get_headers) self.assertListEqual(head_headers, options_headers) # compare HEAD with GET headers self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) # compare HEAD with OPTIONS headers self.assertEquals(response_head.headers["access-control-allow-headers"], response_options.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_options.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_options.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_options.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_options.headers["allow"]) self.assertEquals(response_head.headers["link"], response_options.headers["link"]) self.assertEquals(response_head.headers["server"], response_options.headers["server"]) self.assertEquals(response_head.headers["vary"], response_options.headers["vary"]) self.assertIn("Date", options_headers) self.assertIn("Content-Type", options_headers) def test_head_for_entry_point_resource_simple_path_accept_image_png(self): pass #operations def test_head_for_entry_point_resource_count_resource_operation(self): response_head = requests.head(self.controle_base_uri + "count-resource") self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.controle_base_uri + "count-resource") self.assertEquals(response_get.status_code, 200) response_options = requests.options(self.controle_base_uri + "count-resource") self.assertEquals(response_options.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) options_headers = self.aux_get_headers_list_from_response(response_options) self.assertListEqual(head_headers, get_headers) self.assertListEqual(head_headers, options_headers) # compare HEAD with GET headers self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) # compare HEAD with OPTIONS headers self.assertEquals(response_head.headers["access-control-allow-headers"], response_options.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_options.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_options.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_options.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_options.headers["allow"]) self.assertEquals(response_head.headers["link"], response_options.headers["link"]) self.assertEquals(response_head.headers["server"], response_options.headers["server"]) self.assertEquals(response_head.headers["vary"], response_options.headers["vary"]) self.assertIn("Date", options_headers) self.assertIn("Content-Type", options_headers) def test_head_for_entry_point_resource_count_resource_operation_accept_octet_stream(self): response_head = requests.head(self.controle_base_uri + "count-resource", headers={"Accept": "application/octet-stream"}) self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.controle_base_uri + "count-resource", headers={"Accept": "application/octet-stream"}) self.assertEquals(response_get.status_code, 200) response_options = requests.options(self.controle_base_uri + "count-resource", headers={"Accept": "application/octet-stream"}) self.assertEquals(response_options.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) options_headers = self.aux_get_headers_list_from_response(response_options) self.assertListEqual(head_headers, get_headers) self.assertListEqual(head_headers, options_headers) # compare HEAD with GET headers self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) # compare HEAD with OPTIONS headers self.assertEquals(response_head.headers["access-control-allow-headers"], response_options.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_options.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_options.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_options.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_options.headers["allow"]) self.assertEquals(response_head.headers["link"], response_options.headers["link"]) self.assertEquals(response_head.headers["server"], response_options.headers["server"]) self.assertEquals(response_head.headers["vary"], response_options.headers["vary"]) self.assertIn("Date", options_headers) self.assertIn("Content-Type", options_headers) def test_head_for_entry_point_resource_count_resource_operation_accept_image_png(self): pass # RasterResource #python manage.py test hyper_resource.tests.RasterTest --testrunner=hyper_resource.tests.NoDbTestRunner class RasterTest(AbstractRequestTest): ''' Class for tests every possible GET request for RasterResources ''' # simple path def test_tiff_resource_simple_path(self): response = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/') self.assertEquals(response.status_code, 200) self.assertEquals(response.headers["content-type"], 'image/tiff') # only attributes def test_tiff_resource_all_attributes(self): response = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rid,rast') self.assertEquals(response.status_code, 200) self.assertEquals(response.headers["content-type"], 'image/tiff') def test_tiff_resource_only_raster_attribute(self): response = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rast') self.assertEquals(response.status_code, 200) self.assertEquals(response.headers["content-type"], 'image/tiff') def test_tiff_resource_only_alphanumeric_attributes(self): response = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rid') self.assertEquals(response.status_code, 200) self.assertEquals(response.headers["content-type"], 'application/json') response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, ["rid"]) def test_tiff_resource_only_alphanumeric_attributes_accept_octet_stream(self): response = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rid', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers["content-type"], 'application/octet-stream') # operations def test_tiff_resource_driver_operation(self): response = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/driver') self.assertEquals(response.status_code, 200) self.assertEquals(response.headers["content-type"], 'application/json') response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, ["driver"]) def test_tiff_resource_transform_operation(self): response = requests.get(self.raster_base_uri + "imagem-exemplo-tile1-list/61/transform/3086") self.assertEquals(response.status_code, 200) self.assertEquals(response.headers["content-type"], 'image/tiff') def test_tiff_resource_driver_operation_accept_octet_stream(self): response = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/driver', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers["content-type"], 'application/octet-stream') def test_tiff_resource_transform_operation_accept_octet_stream(self): response = requests.get(self.raster_base_uri + "imagem-exemplo-tile1-list/61/transform/3086", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) self.assertEquals(response.headers["content-type"], 'application/octet-stream') #python manage.py test hyper_resource.tests.OptionsForRasterTest --testrunner=hyper_resource.tests.NoDbTestRunner class OptionsForRasterTest(AbstractOptionsRequestTest): ''' Class for tests every possible OPTIONS request for RasterResources ''' # simple path def test_options_raster_resource_simple_path(self): response = requests.options(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "rdfs", "subClassOf"]) #rast_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "rast") #self.assertEquals(rast_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.raster_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/ImageObject") self.assertEquals(response_dict["@type"], "https://schema.org/ImageObject") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # only attributes def test_options_tiff_resource_all_attributes(self): response = requests.options(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rid,rast') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "rdfs", "subClassOf"]) #rast_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "rast") #self.assertEquals(rast_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.raster_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/ImageObject") self.assertEquals(response_dict["@type"], "https://schema.org/ImageObject") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_tiff_resource_only_raster_attribute(self): response = requests.options(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rast') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", 'rdfs', 'subClassOf']) #rast_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "rast") #self.assertEquals(rast_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.raster_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/ImageObject") self.assertEquals(response_dict["@type"], "https://schema.org/ImageObject") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_tiff_resource_only_alphanumeric_attributes(self): response = requests.options(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rid') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "rdfs", "rid", "subClassOf"]) rid_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "rid") self.assertEquals(rid_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/identifier") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # operations def test_options_tiff_resource_driver_operation(self): response = requests.options(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/driver') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["driver", "hydra", "rdfs", "subClassOf"]) driver_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "driver") self.assertEquals(driver_acontext_keys, self.keys_from_oper_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_acontext_keys, self.keys_from_oper_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.string_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Text") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_tiff_resource_transform_operation(self): response = requests.options(self.raster_base_uri + "imagem-exemplo-tile1-list/61/transform/3086") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "rdfs", "subClassOf"]) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_acontext_keys, self.keys_from_oper_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.raster_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/ImageObject") self.assertEquals(response_dict["@type"], "https://schema.org/ImageObject") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # simple path (binary) def test_options_raster_resource_simple_path_accept_octet_stream(self): response = requests.options(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "rdfs", "subClassOf"]) #rast_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "rast") #self.assertEquals(rast_acontext_keys, self.keys_from_attrs_context) #rid_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "rid") #self.assertEquals(rid_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/ImageObject") self.assertEquals(response_dict["@type"], "https://schema.org/ImageObject") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # only attributes def test_options_tiff_resource_all_attributes_accept_octet_stream(self): response = requests.options(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rid,rast', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "rdfs", "subClassOf"]) #rast_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "rast") #self.assertEquals(rast_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/ImageObject") self.assertEquals(response_dict["@type"], "https://schema.org/ImageObject") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_tiff_resource_only_raster_attribute_accept_octet_stream(self): response = requests.options(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rast', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", 'rdfs', 'subClassOf']) #rast_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "rast") #self.assertEquals(rast_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/ImageObject") self.assertEquals(response_dict["@type"], "https://schema.org/ImageObject") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_tiff_resource_only_alphanumeric_attributes_accept_octet_stream(self): response = requests.options(self.raster_base_uri + 'imagem-exemplo-tile1-list/61/rid', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ["hydra", "rdfs", "rid", "subClassOf"]) rid_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "rid") self.assertEquals(rid_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/identifier") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # FeatureCollectionResource #python manage.py test hyper_resource.tests.FeatureCollectionTest --testrunner=hyper_resource.tests.NoDbTestRunner class FeatureCollectionTest(AbstractGetRequestTest): ''' Class for tests every possible GET request for FeatureCollectionResource ''' pass #python manage.py test hyper_resource.tests.OptionsFeatureCollectionTest --testrunner=hyper_resource.tests.NoDbTestRunner class OptionsFeatureCollectionTest(AbstractOptionsRequestTest): ''' Class for tests every possible OPTIONS request for FeatureCollectionResource ''' # simple path def test_options_feature_collection_simple_path(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['geocodigo', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'sigla', 'subClassOf']) geocodigo_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geocodigo') self.assertEquals(geocodigo_acontext_keys, self.keys_from_attrs_context) geometriaaproximada_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geometriaaproximada') self.assertEquals(geometriaaproximada_acontext_keys, self.keys_from_attrs_context) id_objeto_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id_objeto') self.assertEquals(id_objeto_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) nomeabrev_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nomeabrev') self.assertEquals(nomeabrev_acontext_keys, self.keys_from_attrs_context) sigla_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'sigla') self.assertEquals(sigla_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_property_keys = self.aux_get_supported_property_keys(response) self.assertEquals(supported_property_keys, self.expected_supported_property_keys) supported_properties_names = self.aux_get_supported_properties_names(response) self.assertEquals(supported_properties_names, ['geocodigo', 'geom', 'geometriaaproximada', 'id_objeto', 'nome', 'nomeabrev', 'sigla']) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/State") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) # only attributes def test_options_feature_collection_with_geometry_attribute(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/geom,nome") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_feature_collection_only_geometry_attribute(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/geom") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#geometry") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_feature_collection_without_geometry_attribute(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/nome,sigla") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'sigla', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) sigla_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'sigla') self.assertEquals(sigla_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') def test_options_feature_collection_only_one_alphanumeric_attribute(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/nome") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/name") self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') # operations def test_options_feature_collection_within_operation(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/within/" + self.bcim_base_uri + "unidades-federativas/ES") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['codigofunai', 'etnia', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'subClassOf', 'terraindigena']) codigofunai_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'codigofunai') self.assertEquals(codigofunai_acontext_keys, self.keys_from_attrs_context) geometriaaproximada_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geometriaaproximada') self.assertEquals(geometriaaproximada_acontext_keys, self.keys_from_attrs_context) id_objeto_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id_objeto') self.assertEquals(id_objeto_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) nomeabrev_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nomeabrev') self.assertEquals(nomeabrev_acontext_keys, self.keys_from_attrs_context) etnia_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'etnia') self.assertEquals(etnia_acontext_keys, self.keys_from_attrs_context) terraindigena_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'terraindigena') self.assertEquals(terraindigena_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_feature_collection_union_operation(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/union") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra','rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPoint") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPoint") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_collection_make_line_operation(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/make-line") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra','rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#LineString") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#LineString") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_collection_extent_operation(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/extent") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['extent', 'hydra','rdfs', 'subClassOf']) extent_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'extent') self.assertEquals(extent_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/ItemList") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # simple path (binary) def test_options_feature_collection_simple_path_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['geocodigo', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'sigla', 'subClassOf']) geocodigo_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geocodigo') self.assertEquals(geocodigo_acontext_keys, self.keys_from_attrs_context) geometriaaproximada_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geometriaaproximada') self.assertEquals(geometriaaproximada_acontext_keys, self.keys_from_attrs_context) id_objeto_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id_objeto') self.assertEquals(id_objeto_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) nomeabrev_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nomeabrev') self.assertEquals(nomeabrev_acontext_keys, self.keys_from_attrs_context) sigla_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'sigla') self.assertEquals(sigla_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_property_keys = self.aux_get_supported_property_keys(response) self.assertEquals(supported_property_keys, self.expected_supported_property_keys) supported_properties_names = self.aux_get_supported_properties_names(response) self.assertEquals(supported_properties_names, ['geocodigo', 'geom', 'geometriaaproximada', 'id_objeto', 'nome', 'nomeabrev', 'sigla']) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/State") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) # only attributes (binary) def test_options_feature_collection_with_geometry_attribute_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/geom,nome", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_feature_collection_only_geometry_attribute_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#geometry") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_feature_collection_without_geometry_attribute_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/nome,sigla", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'sigla', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) sigla_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'sigla') self.assertEquals(sigla_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') def test_options_feature_collection_only_one_alphanumeric_attribute_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/nome", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/name") self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') # operations (binary) def test_options_feature_collection_within_operation_accept_octet_stream(self): response = requests.options( self.bcim_base_uri + "aldeias-indigenas/within/" + self.bcim_base_uri + "unidades-federativas/ES", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['codigofunai', 'etnia', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'subClassOf', 'terraindigena']) codigofunai_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'codigofunai') self.assertEquals(codigofunai_acontext_keys, self.keys_from_attrs_context) geometriaaproximada_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geometriaaproximada') self.assertEquals(geometriaaproximada_acontext_keys, self.keys_from_attrs_context) id_objeto_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id_objeto') self.assertEquals(id_objeto_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) nomeabrev_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nomeabrev') self.assertEquals(nomeabrev_acontext_keys, self.keys_from_attrs_context) etnia_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'etnia') self.assertEquals(etnia_acontext_keys, self.keys_from_attrs_context) terraindigena_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'terraindigena') self.assertEquals(terraindigena_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_feature_collection_union_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/union", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPoint") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPoint") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_collection_make_line_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/make-line", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra','rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#LineString") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#LineString") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_collection_extent_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/extent", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['extent', 'hydra','rdfs', 'subClassOf']) extent_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'extent') self.assertEquals(extent_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/ItemList") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # simple path (image) def test_options_feature_collection_simple_path_accept_image_png(self): pass # only attributes (image) def test_options_feature_collection_with_geometry_attribute_accept_image_png(self): pass def test_options_feature_collection_only_geometry_attribute_accept_image_png(self): pass def test_options_feature_collection_without_geometry_attribute_accept_image_png(self): pass # operations (image) def test_options_feature_collection_within_operation_accept_image_png(self): pass def test_options_feature_collection_union_operation_accept_image_png(self): pass def test_options_feature_collection_make_line_operation_accept_image_png(self): pass def test_options_feature_collection_extent_operation_accept_image_png(self): pass #python manage.py test hyper_resource.tests.HeadFeatureCollectionTest --testrunner=hyper_resource.tests.NoDbTestRunner class HeadFeatureCollectionTest(AbstractHeadRequestTest): ''' Tests if GET response headers is the same as HEAD response headers and OPTIONS response headers. Requests for FeatureCollectionResource ''' # feature entry point def test_head_entry_point(self): response_head = requests.head(self.bcim_base_uri) self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.bcim_base_uri) self.assertEquals(response_get.status_code, 200) response_options = requests.options(self.bcim_base_uri) self.assertEquals(response_options.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) options_headers = self.aux_get_headers_list_from_response(response_options) self.assertListEqual(head_headers, get_headers) self.assertListEqual(head_headers, options_headers) # compare HEAD with GET headers self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) # compare HEAD with OPTIONS headers self.assertEquals(response_head.headers["access-control-allow-headers"], response_options.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_options.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_options.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_options.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_options.headers["allow"]) #self.assertEquals(response_head.headers["content-type"], response_options.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_options.headers["link"]) self.assertEquals(response_head.headers["server"], response_options.headers["server"]) self.assertEquals(response_head.headers["vary"], response_options.headers["vary"]) self.assertIn("Date", options_headers) self.assertIn("Content-Type", options_headers) # features entry point (binary) todo def test_head_feature_entry_point_accept_octet_stream(self): response_head = requests.head(self.bcim_base_uri, headers={"Accept": "application/octet-stream"}) self.assertEquals(response_head.status_code, 200) # features entry point (image) def test_head_feature_entry_point_accept_image_png(self): pass ''' # raster entry point def test_head_raster_entry_point(self): response_head = requests.head(self.raster_base_uri) self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.raster_base_uri) self.assertEquals(response_get.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) self.assertEquals(head_headers, get_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) #self.assertEquals(response_head.headers["connection"], response_get.headers["connection"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) def test_head_raster_entry_point_accept_octet_stream(self): response_head = requests.head(self.raster_base_uri, headers={"Accept": "application/octet-stream"}) self.assertEquals(response_head.status_code, 406) def test_head_raster_entry_point_accept_image_png(self): pass ''' # simple path def test_head_feature_collection_simple_path(self): response_head = requests.head(self.bcim_base_uri + "aldeias-indigenas/") self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.bcim_base_uri + "aldeias-indigenas/") self.assertEquals(response_get.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) self.assertListEqual(head_headers, get_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) self.assertIn("Etag", head_headers) self.assertIn("Etag", get_headers) # simple path (binary) def test_head_feature_collection_simple_path_accept_octet_stream(self): response_head = requests.head(self.bcim_base_uri + "aldeias-indigenas/", headers={"Accept": "application/octet-stream"}) self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.bcim_base_uri + "aldeias-indigenas/", headers={"Accept": "application/octet-stream"}) self.assertEquals(response_get.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) self.assertEquals(head_headers, get_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) self.assertIn("Etag", head_headers) self.assertIn("Etag", get_headers) # simple path (image) def test_head_feature_collection_simple_path_accept_image_png(self): pass # only attributes (default) def test_head_feature_collection_with_geometry_attribute(self): response_head = requests.head(self.bcim_base_uri + "aldeias-indigenas/nome,geom") self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.bcim_base_uri + "aldeias-indigenas/nome,geom") self.assertEquals(response_get.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) self.assertListEqual(head_headers, get_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) self.assertIn("Etag", head_headers) self.assertIn("Etag", get_headers) def test_head_feature_collection_only_geometry_attribute(self): response_head = requests.head(self.bcim_base_uri + "aldeias-indigenas/geom") self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.bcim_base_uri + "aldeias-indigenas/geom") self.assertEquals(response_get.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) self.assertListEqual(head_headers, get_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) self.assertIn("Etag", head_headers) self.assertIn("Etag", get_headers) def test_head_feature_collection_without_geometry_attribute(self): response_head = requests.head(self.bcim_base_uri + "aldeias-indigenas/nome") self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.bcim_base_uri + "aldeias-indigenas/nome") self.assertEquals(response_get.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) self.assertListEqual(head_headers, get_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) self.assertIn("Etag", head_headers) self.assertIn("Etag", get_headers) # only attributes (binary) def test_head_feature_collection_with_geometry_attribute_accept_octet_stream(self): response_head = requests.head(self.bcim_base_uri + "aldeias-indigenas/nome,geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.bcim_base_uri + "aldeias-indigenas/nome,geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(response_get.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) self.assertListEqual(head_headers, get_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) self.assertIn("Etag", head_headers) self.assertIn("Etag", get_headers) def test_head_feature_collection_only_geometry_attribute_accept_octet_stream(self): response_head = requests.head(self.bcim_base_uri + "aldeias-indigenas/geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.bcim_base_uri + "aldeias-indigenas/geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(response_get.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) self.assertEquals(head_headers, get_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) self.assertIn("Etag", head_headers) self.assertIn("Etag", get_headers) def test_head_feature_collection_without_geometry_attribute_accept_octet_stream(self): response_head = requests.head(self.bcim_base_uri + "aldeias-indigenas/nome", headers={"Accept": "application/octet-stream"}) self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.bcim_base_uri + "aldeias-indigenas/nome", headers={"Accept": "application/octet-stream"}) self.assertEquals(response_get.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) self.assertListEqual(head_headers, get_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) self.assertIn("Etag", head_headers) self.assertIn("Etag", get_headers) # only attributes (image) def test_head_feature_collection_with_geometry_attribute_accept_image_png(self): pass def test_head_feature_collection_only_geometry_attribute_accept_image_png(self): pass def test_head_feature_collection_without_geometry_attribute_accept_image_png(self): pass # operations (default) def test_head_feature_collection_within_operation(self): response_head = requests.head(self.bcim_base_uri + "aldeias-indigenas/within/" + self.bcim_base_uri + 'unidades-federativas/ES') self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.bcim_base_uri + "aldeias-indigenas/within/" + self.bcim_base_uri + 'unidades-federativas/ES') self.assertEquals(response_get.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) self.assertListEqual(head_headers, get_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) self.assertIn("Etag", head_headers) self.assertIn("Etag", get_headers) def test_head_feature_collection_count_resource_operations(self): response_head = requests.head(self.bcim_base_uri + "aldeias-indigenas/count-resource") self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.bcim_base_uri + "aldeias-indigenas/count-resource") self.assertEquals(response_get.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) self.assertListEqual(head_headers, get_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) self.assertIn("Etag", head_headers) self.assertIn("Etag", get_headers) # operations (binary) def test_head_feature_collection_within_operation_accept_octet_stream(self): response_head = requests.head(self.bcim_base_uri + "aldeias-indigenas/within/" + self.bcim_base_uri + 'unidades-federativas/ES', headers={"Accept": "application/octet-stream"}) self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.bcim_base_uri + "aldeias-indigenas/within/" + self.bcim_base_uri + 'unidades-federativas/ES', headers={"Accept": "application/octet-stream"}) self.assertEquals(response_get.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) self.assertListEqual(head_headers, get_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) self.assertIn("Etag", head_headers) self.assertIn("Etag", get_headers) def test_head_feature_collection_count_resource_operations_accept_octet_stream(self): response_head = requests.head(self.bcim_base_uri + "aldeias-indigenas/count-resource", headers={"Accept": "application/octet-stream"}) self.assertEquals(response_head.status_code, 200) response_get = requests.get(self.bcim_base_uri + "aldeias-indigenas/count-resource", headers={"Accept": "application/octet-stream"}) self.assertEquals(response_get.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) self.assertListEqual(head_headers, get_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) self.assertIn("Etag", head_headers) self.assertIn("Etag", get_headers) # operations (image) def test_head_feature_collection_within_operation_accept_image_png(self): pass def test_head_feature_collection_count_resource_operations_accept_image_png(self): pass # CollectionResource #python manage.py test hyper_resource.tests.OptionsCollectionResource --testrunner=hyper_resource.tests.NoDbTestRunner class OptionsCollectionResource(AbstractOptionsRequestTest): # simple path def test_options_collection_simple_path(self): response = requests.options(self.controle_base_uri + "usuario-list") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['data_nascimento', 'email', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) data_nascimento_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'data_nascimento') self.assertEquals(data_nascimento_acontext_keys, self.keys_from_attrs_context) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) id_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id') self.assertEquals(id_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) nome_usuario_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome_usuario') self.assertEquals(nome_usuario_acontext_keys, self.keys_from_attrs_context) senha_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'senha') self.assertEquals(senha_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_property_keys = self.aux_get_supported_property_keys(response) self.assertListEqual(supported_property_keys, self.expected_supported_property_keys) supported_properties_names = self.aux_get_supported_properties_names(response) self.assertListEqual(supported_properties_names, ['data_nascimento', 'email', 'id', 'nome', 'nome_usuario', 'senha']) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # only attributes def test_options_collection_only_attributes(self): response = requests.options(self.controle_base_uri + "usuario-list/nome,email") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_only_one_attribute(self): response = requests.options(self.controle_base_uri + "usuario-list/nome") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/name") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # operations def test_options_collection_filter_operation(self): response = requests.options(self.controle_base_uri + "usuario-list/filter/eq/Rio") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['data_nascimento', 'email', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) data_nascimento_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'data_nascimento') self.assertEquals(data_nascimento_acontext_keys, self.keys_from_attrs_context) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) id_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id') self.assertEquals(id_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) nome_usuario_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome_usuario') self.assertEquals(nome_usuario_acontext_keys, self.keys_from_attrs_context) senha_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'senha') self.assertEquals(senha_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_collect_operation(self): response = requests.options(self.controle_base_uri + "usuario-list/collect/email&nome/upper") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['email', 'hydra', 'rdfs', 'subClassOf', 'upper']) upper_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'upper') self.assertEquals(upper_acontext_keys, self.keys_from_attrs_context) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_count_resource_operation(self): response = requests.options(self.controle_base_uri + "usuario-list/count-resource") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['count-resource', 'hydra', 'rdfs', 'subClassOf']) count_resource_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'count-resource') self.assertEquals(count_resource_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "hydra:totalItems") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_offset_limit_operation(self): response = requests.options(self.controle_base_uri + "usuario-list/offset-limit/0&2") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['data_nascimento', 'email', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) data_nascimento_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'data_nascimento') self.assertEquals(data_nascimento_acontext_keys, self.keys_from_attrs_context) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) id_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id') self.assertEquals(id_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) nome_usuario_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome_usuario') self.assertEquals(nome_usuario_acontext_keys, self.keys_from_attrs_context) senha_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'senha') self.assertEquals(senha_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_distinct_operation(self): response = requests.options(self.controle_base_uri + "usuario-list/distinct/nome") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['data_nascimento', 'email', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) data_nascimento_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'data_nascimento') self.assertEquals(data_nascimento_acontext_keys, self.keys_from_attrs_context) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) id_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id') self.assertEquals(id_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) nome_usuario_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome_usuario') self.assertEquals(nome_usuario_acontext_keys, self.keys_from_attrs_context) senha_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'senha') self.assertEquals(senha_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_group_by_count_operation(self): response = requests.options(self.controle_base_uri + "usuario-list/group-by-count/nome") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['count', 'hydra', 'nome', 'rdfs', 'subClassOf']) count_nascimento_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'count') self.assertEquals(count_nascimento_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_group_by_sum_operation(self): response = requests.options(self.controle_base_uri + "gasto-list/group-by-sum/data&valor") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['data', 'hydra', 'rdfs', 'subClassOf', 'sum']) data_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'data') self.assertEquals(data_acontext_keys, self.keys_from_attrs_context) sum_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'sum') self.assertEquals(sum_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_projection_operation(self): response = requests.options(self.controle_base_uri + "usuario-list/projection/nome,email") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # simple path (binary) def test_options_collection_simple_path_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "usuario-list", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['data_nascimento', 'email', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) data_nascimento_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'data_nascimento') self.assertEquals(data_nascimento_acontext_keys, self.keys_from_attrs_context) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) id_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id') self.assertEquals(id_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) nome_usuario_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome_usuario') self.assertEquals(nome_usuario_acontext_keys, self.keys_from_attrs_context) senha_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'senha') self.assertEquals(senha_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_property_keys = self.aux_get_supported_property_keys(response) self.assertListEqual(supported_property_keys, self.expected_supported_property_keys) supported_properties_names = self.aux_get_supported_properties_names(response) self.assertListEqual(supported_properties_names, ['data_nascimento', 'email', 'id', 'nome', 'nome_usuario', 'senha']) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # only attributes (binary) def test_options_collection_only_attributes_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "usuario-list/nome,email", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_only_one_attribute_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "usuario-list/nome", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/name") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # operations (binary) def test_options_collection_filter_operation_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "usuario-list/filter/eq/Rio", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['data_nascimento', 'email', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) data_nascimento_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'data_nascimento') self.assertEquals(data_nascimento_acontext_keys, self.keys_from_attrs_context) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) id_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id') self.assertEquals(id_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) nome_usuario_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome_usuario') self.assertEquals(nome_usuario_acontext_keys, self.keys_from_attrs_context) senha_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'senha') self.assertEquals(senha_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_collect_operation_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "usuario-list/collect/email&nome/upper", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['email', 'hydra', 'rdfs', 'subClassOf', 'upper']) upper_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'upper') self.assertEquals(upper_acontext_keys, self.keys_from_attrs_context) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_count_resource_operation_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "usuario-list/count-resource", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['count-resource', 'hydra', 'rdfs', 'subClassOf']) count_resource_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'count-resource') self.assertEquals(count_resource_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "hydra:totalItems") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_offset_limit_operation_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "usuario-list/offset-limit/0&2", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['data_nascimento', 'email', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) data_nascimento_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'data_nascimento') self.assertEquals(data_nascimento_acontext_keys, self.keys_from_attrs_context) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) id_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id') self.assertEquals(id_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) nome_usuario_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome_usuario') self.assertEquals(nome_usuario_acontext_keys, self.keys_from_attrs_context) senha_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'senha') self.assertEquals(senha_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_distinct_operation_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "usuario-list/distinct/nome", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['data_nascimento', 'email', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) data_nascimento_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'data_nascimento') self.assertEquals(data_nascimento_acontext_keys, self.keys_from_attrs_context) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) id_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id') self.assertEquals(id_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) nome_usuario_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome_usuario') self.assertEquals(nome_usuario_acontext_keys, self.keys_from_attrs_context) senha_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'senha') self.assertEquals(senha_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_group_by_count_operation_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "usuario-list/group-by-count/nome", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['count', 'hydra', 'nome', 'rdfs', 'subClassOf']) count_nascimento_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'count') self.assertEquals(count_nascimento_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_group_by_sum_operation_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "gasto-list/group-by-sum/data&valor", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['data', 'hydra', 'rdfs', 'subClassOf', 'sum']) data_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'data') self.assertEquals(data_acontext_keys, self.keys_from_attrs_context) sum_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'sum') self.assertEquals(sum_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_collection_projection_operation_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "usuario-list/projection/nome,email", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertEquals(email_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertEquals(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "http://www.w3.org/ns/hydra/core#Collection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # NonSpatialResource #python manage.py test hyper_resource.tests.OptionsNonSpatialResource --testrunner=hyper_resource.tests.NoDbTestRunner class OptionsNonSpatialResource(AbstractOptionsRequestTest): # simple path def options_non_spatial_resource_simple_path(self): response = requests.options(self.controle_base_uri + "controle-list/usuario-list/1") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['data_nascimento', 'email', 'gastos', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) data_nascimento_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'data_nascimento') self.assertListEqual(data_nascimento_acontext_keys, self.keys_from_attrs_context) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertListEqual(email_acontext_keys, self.keys_from_attrs_context) gastos_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'gastos') self.assertListEqual(gastos_acontext_keys, self.keys_from_attrs_context) id_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id') self.assertListEqual(id_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) nome_usuario_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome_usuario') self.assertListEqual(nome_usuario_acontext_keys, self.keys_from_attrs_context) senha_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'senha') self.assertListEqual(senha_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_property_keys = self.aux_get_supported_property_keys(response) self.assertListEqual(supported_property_keys, self.expected_supported_property_keys) suppoerted_properties_names = self.aux_get_supported_properties_names(response) self.assertListEqual(suppoerted_properties_names, ['data_nascimento', 'email', 'gastos', 'id', 'nome', 'nome_usuario', 'senha']) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.basic_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # only attributes def options_non_spatial_resource_only_attributes(self): response = requests.options(self.controle_base_uri + "controle-list/usuario-list/1/nome,email") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertListEqual(email_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.basic_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def options_non_spatial_resource_only_one_attribute(self): response = requests.options(self.controle_base_uri + "controle-list/usuario-list/1/nome") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.string_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/name") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # operations def options_non_spatial_resource_projection_operation(self): response = requests.options(self.controle_base_uri + "controle-list/usuario-list/1/projection/nome,email") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertListEqual(email_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.basic_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # simple path (binary) def options_non_spatial_resource_simple_path_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "controle-list/usuario-list/1", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['data_nascimento', 'email', 'gastos', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) data_nascimento_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'data_nascimento') self.assertListEqual(data_nascimento_acontext_keys, self.keys_from_attrs_context) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertListEqual(email_acontext_keys, self.keys_from_attrs_context) gastos_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'gastos') self.assertListEqual(gastos_acontext_keys, self.keys_from_attrs_context) id_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id') self.assertListEqual(id_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) nome_usuario_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome_usuario') self.assertListEqual(nome_usuario_acontext_keys, self.keys_from_attrs_context) senha_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'senha') self.assertListEqual(senha_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_property_keys = self.aux_get_supported_property_keys(response) self.assertListEqual(supported_property_keys, self.expected_supported_property_keys) suppoerted_properties_names = self.aux_get_supported_properties_names(response) self.assertListEqual(suppoerted_properties_names, ['data_nascimento', 'email', 'gastos', 'id', 'nome', 'nome_usuario', 'senha']) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # only attributes (binary) def options_non_spatial_resource_only_attributes_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "controle-list/usuario-list/1/nome,email", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertListEqual(email_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def options_non_spatial_resource_only_one_attribute_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "controle-list/usuario-list/1/nome", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/name") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # operations (binary) def options_non_spatial_resource_projection_operation_accept_octet_stream(self): response = requests.options(self.controle_base_uri + "controle-list/usuario-list/1/projection/nome,email") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) email_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'email') self.assertListEqual(email_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # simple path (image) def options_non_spatial_resource_simple_path_accept_image_png(self): pass # only attributes (image) def options_non_spatial_resource_only_attributes_accept_image_png(self): pass def options_non_spatial_resource_only_one_attribute_accept_image_png(self): pass # operations (image) def options_non_spatial_resource_projection_operation_accept_image_png(self): pass # FeatureResource #python manage.py test hyper_resource.tests.FeatureResourceTest --testrunner=hyper_resource.tests.NoDbTestRunner class FeatureResourceTest(AbstractGetRequestTest): def test_feature_resource_simple_path(self): response = requests.get(self.bcim_base_uri + 'unidades-federativas/ES') self.assertEquals(response.status_code, 200) self.assertEquals(response.headers["content-type"], 'application/vnd.geo+json') feature_keys = self.aux_get_first_feature_keys(response) self.assertListEqual(feature_keys, ['geometry', 'id_objeto', 'properties', 'type']) feature_properties_keys = self.aux_get_first_feature_properties_keys(response) self.assertListEqual(feature_properties_keys, ['geocodigo', 'geometriaaproximada', 'nome', 'nomeabrev', 'sigla']) #python manage.py test hyper_resource.tests.OptionsFeatureResourceTest --testrunner=hyper_resource.tests.NoDbTestRunner class OptionsFeatureResourceTest(AbstractOptionsRequestTest): # simple path def test_options_feature_resource_simple_path(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geocodigo', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'sigla', 'subClassOf']) geocodigo_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geocodigo') self.assertListEqual(geocodigo_acontext_keys, self.keys_from_attrs_context) geometriaaproximada_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geometriaaproximada') self.assertListEqual(geometriaaproximada_acontext_keys, self.keys_from_attrs_context) id_objeto_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id_objeto') self.assertListEqual(id_objeto_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) nomeabrev_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nomeabrev') self.assertListEqual(nomeabrev_acontext_keys, self.keys_from_attrs_context) sigla_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'sigla') self.assertListEqual(sigla_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) response_supported_property_keys = self.aux_get_supported_property_keys(response) self.assertListEqual(response_supported_property_keys, self.expected_supported_property_keys) supported_properties_names = self.aux_get_supported_property_names(response) self.assertListEqual(supported_properties_names, ['geocodigo', 'geom', 'geometriaaproximada', 'id_objeto', 'nome', 'nomeabrev', 'sigla']) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/State") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # only attributes def test_options_feature_resource_only_attributes(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/geom,nome') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_only_geometry_attributes(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/geom') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_only__alphanumeric_attributes(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/sigla,nome') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'nome', 'rdfs', 'sigla', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) sigla_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'sigla') self.assertListEqual(sigla_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.basic_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_only_one_alphanumeric_attributes(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/nome') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.string_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/name") self.assertEquals(response_dict["@type"], "https://schema.org/Text") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # operations def test_options_feature_resource_area_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/area") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['area', 'hydra', 'rdfs', 'subClassOf']) area_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'area') self.assertListEqual(area_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_boundary_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/boundary") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiLineString") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiLineString") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_buffer_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/buffer/1.2") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_centroid_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/centroid") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Point") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Point") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_contains_operation(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/contains/' + self.bcim_base_uri + 'aldeias-indigenas/623') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['contains', 'hydra', 'rdfs', 'subClassOf']) contains_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(contains_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_convex_hull_operation(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/convex_hull') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Polygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Polygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") #todo: coord_seq doesn't return a respose (this operation must be deleted or altered) def test_options_feature_resource_coord_seq_operation(self): pass def test_options_feature_resource_coords_operation(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/coords') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['coords', 'hydra', 'rdfs', 'subClassOf']) coords_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'coords') self.assertListEqual(coords_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#coordinates") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_count_operation(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/count') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['count', 'hydra', 'rdfs', 'subClassOf']) count_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'count') self.assertListEqual(count_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_crosses_operation(self): response = requests.options(self.bcim_base_uri + 'trechos-rodoviarios/2625832/crosses/' + self.bcim_base_uri + 'municipios/45823') # 48623 = itaguai, 2625832 = belo jardim self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['crosses', 'hydra', 'rdfs', 'subClassOf']) crosses_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'crosses') self.assertListEqual(crosses_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_crs_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/crs") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['crs', 'hydra', 'rdfs', 'subClassOf']) crs_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'crs') self.assertListEqual(crs_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#SpatialReference") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_difference_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/difference/" + self.bcim_base_uri + "unidades-federativas/RJ") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_dims_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/dims") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['dims', 'hydra', 'rdfs', 'subClassOf']) dims_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'dims') self.assertListEqual(dims_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_disjoint_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/disjoint/" + self.bcim_base_uri + "unidades-federativas/RJ") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['disjoint', 'hydra', 'rdfs', 'subClassOf']) disjoint_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'disjoint') self.assertListEqual(disjoint_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_distance_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/distance/" + self.bcim_base_uri + "aldeias-indigenas/623") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['distance', 'hydra', 'rdfs', 'subClassOf']) distance_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'distance') self.assertListEqual(distance_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_empty_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/empty") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['empty', 'hydra', 'rdfs', 'subClassOf']) empty_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'empty') self.assertListEqual(empty_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_envelope_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/envelope") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Polygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Polygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_equals_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/equals/" + self.bcim_base_uri + "unidades-federativas/RJ") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['equals', 'hydra', 'rdfs', 'subClassOf']) equals_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'equals') self.assertListEqual(equals_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_equals_exact_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/equals_exact/" + self.bcim_base_uri + "unidades-federativas/RJ") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['equals_exact', 'hydra', 'rdfs', 'subClassOf']) equals_exact_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'equals_exact') self.assertListEqual(equals_exact_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_ewkb_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/ewkb") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_ewkt_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/ewkt") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['ewkt', 'hydra', 'rdfs', 'subClassOf']) ewkt_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'ewkt') self.assertListEqual(ewkt_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.string_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: extend is not a FeatureResource operation def test_options_feature_resource_extend_operation(self): pass def test_options_feature_resource_extent_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/extent") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['extent', 'hydra', 'rdfs', 'subClassOf']) extent_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'extent') self.assertListEqual(extent_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/ItemList") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: GET for geojson operation should return a default response def test_options_feature_resource_geojson_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/geojson") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geojson', 'hydra', 'rdfs', 'subClassOf']) geojson_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geojson') self.assertListEqual(geojson_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.string_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_geom_type_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/geom_type") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geom_type', 'hydra', 'rdfs', 'subClassOf']) geom_type_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geom_type') self.assertListEqual(geom_type_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.string_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Text") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_geom_typeid_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/geom_typeid") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geom_typeid', 'hydra', 'rdfs', 'subClassOf']) geom_typeid_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geom_typeid') self.assertListEqual(geom_typeid_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: get_coords is not a FeatureResource operation def test_options_feature_resource_get_coords_operation(self): pass # todo: get_srid is not a FeatureResource operation def test_options_feature_resource_get_srid_operation(self): pass # todo: get_x is not a FeatureResource operation def test_options_feature_resource_get_x_operation(self): pass # todo: get_y is not a FeatureResource operation def test_options_feature_resource_get_y_operation(self): pass # todo: get_z is not a FeatureResource operation def test_options_feature_resource_get_z_operation(self): pass def test_options_feature_resource_has_cs_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/has_cs") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['has_cs', 'hydra', 'rdfs', 'subClassOf']) has_cs_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'has_cs') self.assertListEqual(has_cs_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_hasz_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/hasz") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hasz', 'hydra', 'rdfs', 'subClassOf']) hasz_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'hasz') self.assertListEqual(hasz_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_hex_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/hex") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_hexewkb_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/hexewkb") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: GET request for index not working def test_options_feature_resource_index_operation(self): pass def test_options_feature_resource_intersection_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/intersection/" + self.bcim_base_uri + "aldeias-indigenas/623") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) # if there is no intersection between to geometries, intersection operation return a empty GeometryCollection self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_intersects_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/intersects/" + self.bcim_base_uri + "aldeias-indigenas/623") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'intersects', 'rdfs', 'subClassOf']) intersects_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'intersects') self.assertListEqual(intersects_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: interpolate is not a FeatureResource operation def test_options_feature_resource_interpolate_operation(self): pass # todo: GET for json operation should return a default response def test_options_feature_resource_json_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/json") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'json', 'rdfs', 'subClassOf']) json_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'json') self.assertListEqual(json_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.string_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_kml_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/kml") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'kml', 'rdfs', 'subClassOf']) kml_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'kml') self.assertListEqual(kml_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.string_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Text") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_length_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/length") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'length', 'rdfs', 'subClassOf']) length_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'length') self.assertListEqual(length_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: normalize doesn't return a respose (this operation must be deleted or altered) def test_options_feature_resource_normalize_operation(self): pass def test_options_feature_resource_num_coords_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/num_coords") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'num_coords', 'rdfs', 'subClassOf']) num_coords_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'num_coords') self.assertListEqual(num_coords_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_num_geom_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/num_geom") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'num_geom', 'rdfs', 'subClassOf']) num_geom_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'num_geom') self.assertListEqual(num_geom_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_num_points_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/num_points") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'num_points', 'rdfs', 'subClassOf']) num_points_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'num_points') self.assertListEqual(num_points_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: GET for ogr operation should return a default response def test_options_feature_resource_ogr_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/ogr") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'ogr', 'rdfs', 'subClassOf']) ogr_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'ogr') self.assertListEqual(ogr_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.string_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_overlaps_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/overlaps/" + self.bcim_base_uri + 'unidades-federativas/RJ') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'overlaps', 'rdfs', 'subClassOf']) overlaps_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'overlaps') self.assertListEqual(overlaps_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_point_on_surface_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/point_on_surface") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Point") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Point") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_relate_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/relate/" + self.bcim_base_uri + "unidades-federativas/RJ") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'relate', 'subClassOf']) relate_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'relate') self.assertListEqual(relate_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.string_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Text") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_relate_pattern_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/relate_pattern/" + self.bcim_base_uri + "unidades-federativas/RJ&FF2F11212") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'relate_pattern', 'subClassOf']) relate_pattern_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'relate_pattern') self.assertListEqual(relate_pattern_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_ring_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/ring") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'ring', 'subClassOf']) ring_pattern_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'ring') self.assertListEqual(ring_pattern_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_simple_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/simple") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'simple', 'subClassOf']) simple_pattern_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'simple') self.assertListEqual(simple_pattern_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_simplify_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/simplify") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_srid_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/srid") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'srid', 'subClassOf']) srid_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'srid') self.assertListEqual(srid_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_srs_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/srs") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'srs', 'subClassOf']) srs_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'srs') self.assertListEqual(srs_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#SpatialReference") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_sym_difference_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/sym_difference/" + self.bcim_base_uri + 'unidades-federativas/ES/') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_touches_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/touches/" + self.bcim_base_uri + "unidades-federativas/RJ/") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'touches']) touches_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'touches') self.assertListEqual(touches_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_transform_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/transform/2805&False") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_union_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/union/" + self.bcim_base_uri + "unidades-federativas/RJ") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_valid_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/valid") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'valid']) valid_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'valid') self.assertListEqual(valid_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_valid_reason_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/valid_reason") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'valid_reason']) valid_reason_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'valid_reason') self.assertListEqual(valid_reason_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.string_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Text") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_within_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/within/" + self.bcim_base_uri + "unidades-federativas/ES") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'within']) within_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'within') self.assertListEqual(within_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_wkb_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/wkb") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_wkt_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/wkt") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'wkt']) wkt_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'wkt') self.assertListEqual(wkt_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.string_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: x is an operation that works only for Point objects def test_options_feature_resource_x_operation(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/623/x") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'x']) x_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'x') self.assertListEqual(x_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: y is an operation that works only for Point objects def test_options_feature_resource_y_operation(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/623/y") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'y']) y_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'y') self.assertListEqual(y_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: z is an operation that works only for Point objects def test_options_feature_resource_z_operation(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/623/z") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'z']) z_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'z') self.assertListEqual(z_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_projection_operation(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/projection/geom,nome") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # simple path (binary) def test_options_feature_resource_simple_path_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geocodigo', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'sigla', 'subClassOf']) geocodigo_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geocodigo') self.assertListEqual(geocodigo_acontext_keys, self.keys_from_attrs_context) geometriaaproximada_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geometriaaproximada') self.assertListEqual(geometriaaproximada_acontext_keys, self.keys_from_attrs_context) id_objeto_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'id_objeto') self.assertListEqual(id_objeto_acontext_keys, self.keys_from_attrs_context) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) nomeabrev_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nomeabrev') self.assertListEqual(nomeabrev_acontext_keys, self.keys_from_attrs_context) sigla_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'sigla') self.assertListEqual(sigla_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) response_supported_property_keys = self.aux_get_supported_property_keys(response) self.assertListEqual(response_supported_property_keys, self.expected_supported_property_keys) supported_properties_names = self.aux_get_supported_property_names(response) self.assertListEqual(supported_properties_names, ['geocodigo', 'geom', 'geometriaaproximada', 'id_objeto', 'nome', 'nomeabrev', 'sigla']) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/State") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # only attributes (binary) def test_options_feature_resource_only_attributes_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/geom,nome', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_only_geometry_attributes_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/geom', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_only__alphanumeric_attributes_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/sigla,nome', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'nome', 'rdfs', 'sigla', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) sigla_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'sigla') self.assertListEqual(sigla_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_only_one_alphanumeric_attributes_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/nome', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/name") self.assertEquals(response_dict["@type"], "https://schema.org/Text") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # operations (binary) def test_options_feature_resource_area_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/area", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['area', 'hydra', 'rdfs', 'subClassOf']) area_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'area') self.assertListEqual(area_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_boundary_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/boundary", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiLineString") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiLineString") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_buffer_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/buffer/1.2", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_centroid_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/centroid", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Point") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Point") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_contains_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/contains/' + self.bcim_base_uri + 'aldeias-indigenas/623', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['contains', 'hydra', 'rdfs', 'subClassOf']) contains_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(contains_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_convex_hull_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/convex_hull', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Polygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Polygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") #todo: coord_seq doesn't return a respose (this operation must be deleted or altered) def test_options_feature_resource_coord_seq_operation_accept_octet_stream(self): pass def test_options_feature_resource_coords_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/coords', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['coords', 'hydra', 'rdfs', 'subClassOf']) coords_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'coords') self.assertListEqual(coords_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#coordinates") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_count_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/count', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['count', 'hydra', 'rdfs', 'subClassOf']) count_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'count') self.assertListEqual(count_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_crosses_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + 'trechos-rodoviarios/2625832/crosses/' + self.bcim_base_uri + 'municipios/45823', headers={"Accept": "application/octet-stream"}) # 48623 = itaguai, 2625832 = belo jardim self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['crosses', 'hydra', 'rdfs', 'subClassOf']) crosses_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'crosses') self.assertListEqual(crosses_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_crs_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/crs", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['crs', 'hydra', 'rdfs', 'subClassOf']) crs_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'crs') self.assertListEqual(crs_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#SpatialReference") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_difference_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/difference/" + self.bcim_base_uri + "unidades-federativas/RJ", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_dims_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/dims", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['dims', 'hydra', 'rdfs', 'subClassOf']) dims_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'dims') self.assertListEqual(dims_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_disjoint_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/disjoint/" + self.bcim_base_uri + "unidades-federativas/RJ", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['disjoint', 'hydra', 'rdfs', 'subClassOf']) disjoint_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'disjoint') self.assertListEqual(disjoint_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_distance_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/distance/" + self.bcim_base_uri + "aldeias-indigenas/623", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['distance', 'hydra', 'rdfs', 'subClassOf']) distance_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'distance') self.assertListEqual(distance_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_empty_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/empty", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['empty', 'hydra', 'rdfs', 'subClassOf']) empty_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'empty') self.assertListEqual(empty_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_envelope_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/envelope", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Polygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Polygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_equals_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/equals/" + self.bcim_base_uri + "unidades-federativas/RJ", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['equals', 'hydra', 'rdfs', 'subClassOf']) equals_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'equals') self.assertListEqual(equals_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_equals_exact_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/equals_exact/" + self.bcim_base_uri + "unidades-federativas/RJ", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['equals_exact', 'hydra', 'rdfs', 'subClassOf']) equals_exact_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'equals_exact') self.assertListEqual(equals_exact_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_ewkb_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/ewkb", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_ewkt_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/ewkt", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['ewkt', 'hydra', 'rdfs', 'subClassOf']) ewkt_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'ewkt') self.assertListEqual(ewkt_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: extend is not a FeatureResource operation def test_options_feature_resource_extend_operation_accept_octet_stream(self): pass def test_options_feature_resource_extent_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/extent", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['extent', 'hydra', 'rdfs', 'subClassOf']) extent_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'extent') self.assertListEqual(extent_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/ItemList") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_geojson_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/geojson", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geojson', 'hydra', 'rdfs', 'subClassOf']) geojson_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geojson') self.assertListEqual(geojson_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_geom_type_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/geom_type", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geom_type', 'hydra', 'rdfs', 'subClassOf']) geom_type_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geom_type') self.assertListEqual(geom_type_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Text") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_geom_typeid_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/geom_typeid", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geom_typeid', 'hydra', 'rdfs', 'subClassOf']) geom_typeid_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'geom_typeid') self.assertListEqual(geom_typeid_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: get_coords is not a FeatureResource operation def test_options_feature_resource_get_coords_operation_accept_octet_stream(self): pass # todo: get_srid is not a FeatureResource operation def test_options_feature_resource_get_srid_operation_accept_octet_stream(self): pass # todo: get_x is not a FeatureResource operation def test_options_feature_resource_get_x_operation_accept_octet_stream(self): pass # todo: get_y is not a FeatureResource operation def test_options_feature_resource_get_y_operation_accept_octet_stream(self): pass # todo: get_z is not a FeatureResource operation def test_options_feature_resource_get_z_operation_accept_octet_stream(self): pass def test_options_feature_resource_has_cs_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/has_cs", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['has_cs', 'hydra', 'rdfs', 'subClassOf']) has_cs_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'has_cs') self.assertListEqual(has_cs_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_hasz_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/hasz", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hasz', 'hydra', 'rdfs', 'subClassOf']) hasz_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'hasz') self.assertListEqual(hasz_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_hex_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/hex", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_hexewkb_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/hexewkb", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: GET request for index not working def test_options_feature_resource_index_operation_accept_octet_stream(self): pass def test_options_feature_resource_intersection_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/intersection/" + self.bcim_base_uri + "aldeias-indigenas/623", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) # if there is no intersection between to geometries, intersection operation return a empty GeometryCollection self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_intersects_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/intersects/" + self.bcim_base_uri + "aldeias-indigenas/623", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'intersects', 'rdfs', 'subClassOf']) intersects_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'intersects') self.assertListEqual(intersects_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: interpolate is not a FeatureResource operation def test_options_feature_resource_interpolate_operation_accept_octet_stream(self): pass def test_options_feature_resource_json_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/json", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'json', 'rdfs', 'subClassOf']) json_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'json') self.assertListEqual(json_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_kml_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/kml", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'kml', 'rdfs', 'subClassOf']) kml_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'kml') self.assertListEqual(kml_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Text") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_length_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/length", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'length', 'rdfs', 'subClassOf']) length_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'length') self.assertListEqual(length_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: normalize doesn't return a respose (this operation must be deleted or altered) def test_options_feature_resource_normalize_operation_accept_octet_stream(self): pass def test_options_feature_resource_num_coords_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/num_coords", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'num_coords', 'rdfs', 'subClassOf']) num_coords_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'num_coords') self.assertListEqual(num_coords_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_num_geom_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/num_geom", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'num_geom', 'rdfs', 'subClassOf']) num_geom_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'num_geom') self.assertListEqual(num_geom_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_num_points_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/num_points", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'num_points', 'rdfs', 'subClassOf']) num_points_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'num_points') self.assertListEqual(num_points_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: GET for ogr operation should return a default response def test_options_feature_resource_ogr_operation_accept_octet_stream(self): pass def test_options_feature_resource_overlaps_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/overlaps/" + self.bcim_base_uri + 'unidades-federativas/RJ', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'overlaps', 'rdfs', 'subClassOf']) overlaps_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'overlaps') self.assertListEqual(overlaps_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_point_on_surface_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/point_on_surface", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Point") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Point") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_relate_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/relate/" + self.bcim_base_uri + "unidades-federativas/RJ", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'relate', 'subClassOf']) relate_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'relate') self.assertListEqual(relate_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Text") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_relate_pattern_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/relate_pattern/" + self.bcim_base_uri + "unidades-federativas/RJ&FF2F11212", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'relate_pattern', 'subClassOf']) relate_pattern_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'relate_pattern') self.assertListEqual(relate_pattern_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_ring_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/ring", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'ring', 'subClassOf']) ring_pattern_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'ring') self.assertListEqual(ring_pattern_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_simple_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/simple", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'simple', 'subClassOf']) simple_pattern_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'simple') self.assertListEqual(simple_pattern_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_simplify_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/simplify", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_srid_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/srid", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'srid', 'subClassOf']) srid_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'srid') self.assertListEqual(srid_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Integer") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_srs_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/srs", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'srs', 'subClassOf']) srs_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'srs') self.assertListEqual(srs_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#SpatialReference") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_sym_difference_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/sym_difference/" + self.bcim_base_uri + 'unidades-federativas/ES/', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_touches_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/touches/" + self.bcim_base_uri + "unidades-federativas/RJ/", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'touches']) touches_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'touches') self.assertListEqual(touches_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_transform_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/transform/2805&False", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_union_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/union/" + self.bcim_base_uri + "unidades-federativas/RJ", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_valid_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/valid", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'valid']) valid_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'valid') self.assertListEqual(valid_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_valid_reason_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/valid_reason", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'valid_reason']) valid_reason_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'valid_reason') self.assertListEqual(valid_reason_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Text") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_within_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/within/" + self.bcim_base_uri + "unidades-federativas/ES", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'within']) within_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'within') self.assertListEqual(within_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Boolean") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_wkb_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/wkb", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_wkt_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/wkt", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'wkt']) wkt_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'wkt') self.assertListEqual(wkt_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names,[]) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#MultiPolygon") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: x is an operation that works only for Point objects def test_options_feature_resource_x_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/623/x", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'x']) x_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'x') self.assertListEqual(x_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: y is an operation that works only for Point objects def test_options_feature_resource_y_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/623/y", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'y']) y_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'y') self.assertListEqual(y_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # todo: z is an operation that works only for Point objects def test_options_feature_resource_z_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/623/z", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf', 'z']) z_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'z') self.assertListEqual(z_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Float") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_feature_resource_projection_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "unidades-federativas/ES/projection/geom,nome", headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'nome') self.assertListEqual(nome_acontext_keys, self.keys_from_attrs_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_acontext_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") #python manage.py test hyper_resource.tests.HeadFeatureResourceTest --testrunner=hyper_resource.tests.NoDbTestRunner class HeadFeatureResourceTest(AbstractHeadRequestTest): def test_head_feature_resource_simple_path(self): response_get = requests.get(self.bcim_base_uri + 'unidades-federativas/ES') self.assertEquals(response_get.status_code, 200) response_head = requests.head(self.bcim_base_uri + 'unidades-federativas/ES') self.assertEquals(response_head.status_code, 200) response_options = requests.options(self.bcim_base_uri + 'unidades-federativas/ES') self.assertEquals(response_options.status_code, 200) head_headers = self.aux_get_headers_list_from_response(response_head) get_headers = self.aux_get_headers_list_from_response(response_get) options_headers = self.aux_get_headers_list_from_response(response_options) self.assertListEqual(head_headers, get_headers) #self.assertListEqual(head_headers, options_headers) self.assertEquals(response_head.headers["access-control-allow-headers"], response_get.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_get.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_get.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_get.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_get.headers["allow"]) self.assertEquals(response_head.headers["content-type"], response_get.headers["content-type"]) self.assertEquals(response_head.headers["link"], response_get.headers["link"]) self.assertEquals(response_head.headers["server"], response_get.headers["server"]) self.assertEquals(response_head.headers["vary"], response_get.headers["vary"]) self.assertIn("Date", head_headers) self.assertIn("Date", get_headers) # compare HEAD with OPTIONS headers self.assertEquals(response_head.headers["access-control-allow-headers"], response_options.headers["access-control-allow-headers"]) self.assertEquals(response_head.headers["access-control-allow-methods"], response_options.headers["access-control-allow-methods"]) self.assertEquals(response_head.headers["access-control-allow-origin"], response_options.headers["access-control-allow-origin"]) self.assertEquals(response_head.headers["access-control-expose-headers"], response_options.headers["access-control-expose-headers"]) self.assertEquals(response_head.headers["allow"], response_options.headers["allow"]) #self.assertEquals(response_head.headers["link"], response_options.headers["link"]) self.assertEquals(response_head.headers["server"], response_options.headers["server"]) self.assertEquals(response_head.headers["vary"], response_options.headers["vary"]) self.assertIn("Date", options_headers) self.assertIn("Content-Type", options_headers)# OPTIONS content-type is aways JSON-LD # ALLOWED METHODS TEST #python manage.py test hyper_resource.tests.AllowedMethodsForEntryPoint --testrunner=hyper_resource.tests.NoDbTestRunner class AllowedMethodsForEntryPoint(AbstractHeadRequestTest): def test_head_generic_entry_point(self): response = requests.head(self.controle_base_uri) self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS'] ) def test_head_feature_entry_point(self): response = requests.head(self.bcim_base_uri) self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS'] ) def test_head_raster_entry_point(self): response = requests.head(self.raster_base_uri) self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS', 'POST'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS', 'POST'] ) #self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS'] ) #self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS'] ) #python manage.py test hyper_resource.tests.AllowedMethodsForNonSpatialResource --testrunner=hyper_resource.tests.NoDbTestRunner class AllowedMethodsForNonSpatialResource(AbstractHeadRequestTest): def test_head_non_spatial_resource_simple_path(self): response = requests.head(self.controle_base_uri + 'usuario-list/1') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['DELETE', 'GET', 'HEAD', 'OPTIONS', 'PUT'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['DELETE', 'GET', 'HEAD', 'OPTIONS', 'PUT'] ) def test_head_non_spatial_resource_only_attributes(self): response = requests.head(self.controle_base_uri + 'usuario-list/1/nome,email') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS'] ) def test_head_non_spatial_resource_operation(self): response = requests.head(self.controle_base_uri + 'usuario-list/1/projection/nome') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS'] ) #python manage.py test hyper_resource.tests.AllowedMethodsForCollectionResource --testrunner=hyper_resource.tests.NoDbTestRunner class AllowedMethodsForCollectionResource(AbstractHeadRequestTest): def test_head_collection_resource_simple_path(self): response = requests.head(self.controle_base_uri + 'usuario-list') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['DELETE', 'GET', 'HEAD', 'OPTIONS', 'POST'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['DELETE', 'GET', 'HEAD', 'OPTIONS', 'POST'] ) def test_head_collection_resource_only_attributes(self): response = requests.head(self.controle_base_uri + 'usuario-list/nome,email') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS'] ) def test_head_collection_resource_operation(self): response = requests.head(self.controle_base_uri + 'usuario-list/count-resource') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS'] ) #python manage.py test hyper_resource.tests.AllowedMethodsForTiffCollectionResource --testrunner=hyper_resource.tests.NoDbTestRunner class AllowedMethodsForTiffCollectionResource(AbstractHeadRequestTest): def test_head_tiff_collection_resource_simple_path(self): response = requests.head(self.raster_base_uri + 'imagem-exemplo-tile1-list') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS', 'POST'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS', 'POST'] ) ''' def test_head_tiff_collection_resource_only_attributes(self): response = requests.head(self.raster_base_uri + 'imagem-exemplo-tile1-list/') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS'] ) ''' def test_head_tiff_collection_resource_operation(self): response = requests.head(self.raster_base_uri + 'imagem-exemplo-tile1-list/count-resource') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS'] ) #python manage.py test hyper_resource.tests.AllowedMethodsForTiffResourceTest --testrunner=hyper_resource.tests.NoDbTestRunner class AllowedMethodsForTiffResourceTest(AbstractHeadRequestTest): def test_head_tiff_resource_simple_path(self): response = requests.head(self.raster_base_uri + 'imagem-exemplo-tile1-list/181') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['DELETE', 'GET', 'HEAD', 'OPTIONS', 'PUT'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['DELETE', 'GET', 'HEAD', 'OPTIONS', 'PUT'] ) def test_head_tiff_resource_only_attributes(self): response = requests.head(self.raster_base_uri + 'imagem-exemplo-tile1-list/181/rid') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS'] ) def test_head_tiff_resource_operation(self): response = requests.head(self.raster_base_uri + 'imagem-exemplo-tile1-list/181/transform/3086') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS'] ) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS'] ) #python manage.py test hyper_resource.tests.AllowedMethodsForFeatureResourceTest --testrunner=hyper_resource.tests.NoDbTestRunner class AllowedMethodsForFeatureResourceTest(AbstractHeadRequestTest): ''' Class to test every possible allowed methods for differents requests for FeatureResource ''' def test_head_for_feature_resource_simple_path(self): response = requests.head(self.bcim_base_uri + 'unidades-federativas/ES') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['DELETE', 'GET', 'HEAD', 'OPTIONS', 'PUT']) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['DELETE', 'GET', 'HEAD', 'OPTIONS', 'PUT']) def test_head_for_feature_resource_only_attributes(self): response = requests.head(self.bcim_base_uri + 'unidades-federativas/ES/nome,geom') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS']) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS']) def test_head_for_feature_resource_operation(self): response = requests.head(self.bcim_base_uri + 'unidades-federativas/ES/buffer/0.8') self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS']) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS']) #python manage.py test hyper_resource.tests.AllowedMethodsForFeatureCollectionResourceTest --testrunner=hyper_resource.tests.NoDbTestRunner class AllowedMethodsForFeatureCollectionResourceTest(AbstractHeadRequestTest): ''' Class to test every possible allowed methods for differents requests for FeatureCollectionResource ''' # simple path def test_head_for_feature_collection_simple_path(self): response = requests.head(self.bcim_base_uri + "unidades-federativas") self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['DELETE', 'GET', 'HEAD', 'OPTIONS', 'POST']) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['DELETE', 'GET', 'HEAD', 'OPTIONS', 'POST']) # attributes def test_head_for_feature_collection_only_attributes(self): response = requests.head(self.bcim_base_uri + "unidades-federativas/nome,geom") self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS']) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS']) # operations def test_head_for_feature_collection_operation(self): response = requests.head(self.bcim_base_uri + "unidades-federativas/union") self.assertEquals(response.status_code, 200) self.assertEquals( self.aux_get_allowed_methods(response, 'allow'), ['GET', 'HEAD', 'OPTIONS']) self.assertEquals( self.aux_get_allowed_methods(response, 'access-control-allow-methods'), ['GET', 'HEAD', 'OPTIONS']) # OTHER TEST #python manage.py test hyper_resource.tests.LinkHeaderTest --testrunner=hyper_resource.tests.NoDbTestRunner class LinkHeaderTest(AbstractHeadRequestTest): # --- EntryPoints --- # --- GET --- def test_get_for_generic_entry_point(self): response = requests.get(self.controle_base_uri) self.assertEquals(response.status_code, 200) self.assertIn('rel="https://schema.org/EntryPoint"', response.headers['link']) # has <EntryPoint> self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) # has <Context> self.assertIn('rel="metadata"', response.headers['link']) # has <Metadata> self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertNotIn('rel="up"', response.headers['link']) self.assertNotIn('rel="stylesheet', response.headers['link']) def test_get_for_feature_entry_point(self): response = requests.get(self.bcim_base_uri) self.assertEquals(response.status_code, 200) self.assertIn('rel="https://schema.org/EntryPoint"', response.headers['link']) # has <EntryPoint> self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) # has <Context> self.assertIn('rel="metadata"', response.headers['link']) # has <Metadata> self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertNotIn('rel="up"', response.headers['link']) self.assertNotIn('rel="stylesheet', response.headers['link']) def test_get_for_raster_entry_point(self): response = requests.get(self.raster_base_uri) self.assertEquals(response.status_code, 200) self.assertIn('rel="https://schema.org/EntryPoint"', response.headers['link']) # has <EntryPoint> self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) # has <Context> self.assertIn('rel="metadata"', response.headers['link']) # has <Metadata> self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertNotIn('rel="up"', response.headers['link']) self.assertNotIn('rel="stylesheet', response.headers['link']) # --- HEAD --- def test_head_for_generic_entry_point(self): response = requests.head(self.controle_base_uri) self.assertEquals(response.status_code, 200) self.assertIn('rel="https://schema.org/EntryPoint"', response.headers['link']) # has <EntryPoint> self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) # has <Context> self.assertIn('rel="metadata"', response.headers['link']) # has <Metadata> self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertNotIn('rel="up"', response.headers['link']) self.assertNotIn('rel="stylesheet', response.headers['link']) def test_head_for_feature_entry_point(self): response = requests.head(self.bcim_base_uri) self.assertEquals(response.status_code, 200) self.assertIn('rel="https://schema.org/EntryPoint"', response.headers['link']) # has <EntryPoint> self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) # has <Context> self.assertIn('rel="metadata"', response.headers['link']) # has <Metadata> self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertNotIn('rel="up"', response.headers['link']) self.assertNotIn('rel="stylesheet', response.headers['link']) def test_head_for_raster_entry_point(self): response = requests.head(self.raster_base_uri) self.assertEquals(response.status_code, 200) self.assertIn('rel="https://schema.org/EntryPoint"', response.headers['link']) # has <EntryPoint> self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) # has <Context> self.assertIn('rel="metadata"', response.headers['link']) # has <Metadata> self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertNotIn('rel="up"', response.headers['link']) self.assertNotIn('rel="stylesheet', response.headers['link']) # --- OPTIONS --- def test_options_for_generic_entry_point(self): response = requests.options(self.controle_base_uri) self.assertEquals(response.status_code, 200) self.assertIn('rel="https://schema.org/EntryPoint"', response.headers['link']) # has <EntryPoint> self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) # has <Context> self.assertIn('rel="metadata"', response.headers['link']) # has <Metadata> self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertNotIn('rel="up"', response.headers['link']) self.assertNotIn('rel="stylesheet', response.headers['link']) def test_options_for_feature_entry_point(self): response = requests.options(self.bcim_base_uri) self.assertEquals(response.status_code, 200) self.assertIn('rel="https://schema.org/EntryPoint"', response.headers['link']) # has <EntryPoint> self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) # has <Context> self.assertIn('rel="metadata"', response.headers['link']) # has <Metadata> self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertNotIn('rel="up"', response.headers['link']) self.assertNotIn('rel="stylesheet', response.headers['link']) def test_options_for_raster_entry_point(self): response = requests.options(self.raster_base_uri) self.assertEquals(response.status_code, 200) self.assertIn('rel="https://schema.org/EntryPoint"', response.headers['link']) # has <EntryPoint> self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) # has <Context> self.assertIn('rel="metadata"', response.headers['link']) # has <Metadata> self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertNotIn('rel="up"', response.headers['link']) self.assertNotIn('rel="stylesheet', response.headers['link']) # --- POST --- def test_post_for_raster_entry_point(self): pass # --- FeatureResource --- def test_get_for_feature_resource(self): response = requests.get(self.bcim_base_uri + 'unidades-federativas/ES') self.assertEquals(response.status_code, 200) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) # has <Context> self.assertIn('rel="metadata"', response.headers['link']) # has <Metadata> self.assertIn('rel="up"', response.headers['link']) # has <Up> self.assertIn('rel="stylesheet', response.headers['link']) # has <Style> self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) # <EntryPoint> cannot be on the 'Link' header self.assertNotIn('rel="describedBy"', response.headers['link']) def test_head_for_feature_resource(self): response = requests.head(self.bcim_base_uri + 'unidades-federativas/ES') self.assertEquals(response.status_code, 200) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) # has <Context> self.assertIn('rel="metadata"', response.headers['link']) # has <Metadata> self.assertIn('rel="up"', response.headers['link']) # has <Up> self.assertIn('rel="stylesheet', response.headers['link']) # has <Style> self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) # <EntryPoint> cannot be on the 'Link' header self.assertNotIn('rel="describedBy"', response.headers['link']) ''' def test_options_for_feature_resource(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES') self.assertEquals(response.status_code, 200) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) # has <Context> self.assertIn('rel="metadata"', response.headers['link']) # has <Metadata> self.assertIn('rel="up"', response.headers['link']) # has <Up> self.assertIn('rel="stylesheet', response.headers['link']) # has <Style> self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) # <EntryPoint> cannot be on the 'Link' header self.assertNotIn('rel="describedBy"', response.headers['link']) ''' # --- TiffResource --- def test_get_for_raster_resource(self): response = requests.get(self.raster_base_uri + 'imagem-exemplo-tile1-list/181') self.assertEquals(response.status_code, 200) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertIn('rel="describedBy"', response.headers['link']) # has <describedBy> self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) def test_head_for_raster_resource(self): response = requests.head(self.raster_base_uri + 'imagem-exemplo-tile1-list/181') self.assertEquals(response.status_code, 200) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertIn('rel="describedBy"', response.headers['link']) # has <describedBy> self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) ''' def test_options_for_raster_resource(self): response = requests.options(self.raster_base_uri + 'imagem-exemplo-tile1-list/181') self.assertEquals(response.status_code, 200) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertIn('rel="describedBy"', response.headers['link']) # has <describedBy> self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) ''' # --- FeatureCollection def test_get_for_feature_collection_resource(self): response = requests.get(self.bcim_base_uri + 'unidades-federativas') self.assertEquals(response.status_code, 200) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertNotIn('rel="describedBy"', response.headers['link']) def test_head_for_feature_collection_resource(self): response = requests.head(self.bcim_base_uri + 'unidades-federativas') self.assertEquals(response.status_code, 200) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertNotIn('rel="describedBy"', response.headers['link']) ''' def test_options_for_feature_collection_resource(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas') self.assertEquals(response.status_code, 200) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertNotIn('rel="describedBy"', response.headers['link']) ''' def test_post_for_feature_collection_resource(self): pass # --- NonSpatialCollection def test_get_for_non_spatial_resource(self): response = requests.get(self.controle_base_uri + 'usuario-list/1') self.assertEquals(response.status_code, 200) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) def test_head_for_non_spatial_resource(self): response = requests.head(self.controle_base_uri + 'usuario-list/1') self.assertEquals(response.status_code, 200) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) ''' def test_options_for_non_spatial_resource(self): response = requests.options(self.controle_base_uri + 'usuario-list/1') self.assertEquals(response.status_code, 200) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) ''' # --- CollectionResource def test_get_for_collection_resource(self): response = requests.get(self.controle_base_uri + 'usuario-list') self.assertEquals(response.status_code, 200) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) def test_head_for_collection_resource(self): response = requests.head(self.controle_base_uri + 'usuario-list') self.assertEquals(response.status_code, 200) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) ''' def test_options_for_collection_resource(self): response = requests.options(self.controle_base_uri + 'usuario-list/1') self.assertEquals(response.status_code, 200) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertNotIn('rel="describedBy"', response.headers['link']) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) ''' #python manage.py test hyper_resource.tests.RequestOptionsTest --testrunner=hyper_resource.tests.NoDbTestRunner class RequestOptionsTest(AbstractOptionsRequestTest): # --------------- TESTS FOR FEATURE COLLECTION --------------------------------- # tests for feature/geometry collection simple path def test_options_for_feature_collection_simple_path(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['codigofunai', 'etnia', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'subClassOf', 'terraindigena']) id_objeto_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id_objeto") self.assertListEqual(id_objeto_context_keys_list, self.keys_from_attrs_context) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nomeabrev_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nomeabrev") self.assertListEqual(nomeabrev_context_keys_list, self.keys_from_attrs_context) geometriaaproximada_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geometriaaproximada") self.assertListEqual(geometriaaproximada_context_keys_list, self.keys_from_attrs_context) codigofunai_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "codigofunai") self.assertListEqual(codigofunai_context_keys_list, self.keys_from_attrs_context) terraindigena_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "terraindigena") self.assertListEqual(terraindigena_context_keys_list, self.keys_from_attrs_context) etnia_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "etnia") self.assertListEqual(etnia_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) #rdfs_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, 'rdfs') #self.assertListEqual(rdfs_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_for_feature_collection_simple_path_with_accept_header(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/", headers={'accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['codigofunai', 'etnia', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'subClassOf', 'terraindigena']) id_objeto_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id_objeto") self.assertListEqual(id_objeto_context_keys_list, self.keys_from_attrs_context) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nomeabrev_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nomeabrev") self.assertListEqual(nomeabrev_context_keys_list, self.keys_from_attrs_context) geometriaaproximada_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geometriaaproximada") self.assertListEqual(geometriaaproximada_context_keys_list, self.keys_from_attrs_context) codigofunai_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "codigofunai") self.assertListEqual(codigofunai_context_keys_list, self.keys_from_attrs_context) terraindigena_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "terraindigena") self.assertListEqual(terraindigena_context_keys_list, self.keys_from_attrs_context) etnia_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "etnia") self.assertListEqual(etnia_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) #rdfs_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, 'rdfs') #self.assertListEqual(rdfs_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) # tests for feature/geometry collection attributes def test_options_for_feature_collection_only_attributes(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/geom,nome") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_keys, ["hydra", "nome", "rdfs", "subClassOf"]) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_for_feature_collection_only_attributes_with_accept_header(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/geom,nome", headers={'accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_keys, ["hydra", "nome", "rdfs", "subClassOf"]) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_for_feature_collection_only_geometric_attribute(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/geom") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ["hydra", "rdfs", "subClassOf"]) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Point") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_for_feature_collection_only_geometric_attribute_accept_header(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/geom", headers={'accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ["hydra", "rdfs", "subClassOf"]) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Point") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_for_feature_collection_only_alphanumeric_attributes(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/nome,nomeabrev") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) context_dict_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_dict_keys, ["hydra", "nome", "nomeabrev", "rdfs", "subClassOf"]) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nomeabrev_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nomeabrev") self.assertListEqual(nomeabrev_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_for_feature_collection_only_alphanumeric_attributes_with_accept_header(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/nome,nomeabrev", headers={'accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) context_dict_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_dict_keys, ["hydra", "nome", "nomeabrev", "rdfs", "subClassOf"]) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nomeabrev_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nomeabrev") self.assertListEqual(nomeabrev_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # tests for feature/geometry collection operation def test_options_for_feature_collection_operation_with_geometry_collection_return(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/within/" + self.bcim_base_uri + "unidades-federativas/ES") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['codigofunai', 'etnia', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'subClassOf', 'terraindigena']) id_objeto_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id_objeto") self.assertListEqual(id_objeto_context_keys_list, self.keys_from_attrs_context) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nomeabrev_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nomeabrev") self.assertListEqual(nomeabrev_context_keys_list, self.keys_from_attrs_context) geometriaaproximada_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geometriaaproximada") self.assertListEqual(geometriaaproximada_context_keys_list, self.keys_from_attrs_context) codigofunai_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "codigofunai") self.assertListEqual(codigofunai_context_keys_list, self.keys_from_attrs_context) terraindigena_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "terraindigena") self.assertListEqual(terraindigena_context_keys_list, self.keys_from_attrs_context) etnia_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "etnia") self.assertListEqual(etnia_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) #rdfs_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, 'rdfs') #self.assertListEqual(rdfs_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_for_feature_collection_operation_with_geometry_collection_return_and_accept_header(self): response = requests.options( self.bcim_base_uri + "aldeias-indigenas/within/" + self.bcim_base_uri + "unidades-federativas/ES", headers={'accept': 'application/octet-stream'} ) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['codigofunai', 'etnia', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'subClassOf', 'terraindigena']) id_objeto_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id_objeto") self.assertListEqual(id_objeto_context_keys_list, self.keys_from_attrs_context) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nomeabrev_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nomeabrev") self.assertListEqual(nomeabrev_context_keys_list, self.keys_from_attrs_context) geometriaaproximada_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geometriaaproximada") self.assertListEqual(geometriaaproximada_context_keys_list, self.keys_from_attrs_context) codigofunai_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "codigofunai") self.assertListEqual(codigofunai_context_keys_list, self.keys_from_attrs_context) terraindigena_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "terraindigena") self.assertListEqual(terraindigena_context_keys_list, self.keys_from_attrs_context) etnia_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "etnia") self.assertListEqual(etnia_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) #rdfs_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, 'rdfs') #self.assertListEqual(rdfs_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_options_for_feature_collection_count_resource(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/count-resource") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, []) context_dict_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_dict_keys, ["count-resource", "hydra", "rdfs", "subClassOf"]) count_resource_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "count-resource") self.assertListEqual(count_resource_context_keys_list, self.keys_from_attrs_context) subClassOf_resource_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_resource_context_keys_list, self.keys_from_attrs_context) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "hydra:totalItems") self.assertEquals(response_dict['@type'], "https://schema.org/Thing") self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_for_feature_collection_count_resource_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + "aldeias-indigenas/count-resource", headers={'accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, []) context_dict_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_dict_keys, ["count-resource", "hydra", "rdfs", "subClassOf"]) count_resource_resource_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "count-resource") self.assertListEqual(count_resource_resource_context_keys_list, self.keys_from_attrs_context) subClassOf_resource_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_resource_context_keys_list, self.keys_from_attrs_context) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "hydra:totalItems") self.assertEquals(response_dict['@type'], "https://schema.org/Thing") self.assertEquals(response_dict['subClassOf'], "hydra:Resource") # --------------- TESTS FOR COLLECTION --------------------------------- # tests for collection simple path def test_options_for_collection_simple_path(self): response = requests.options(self.controle_base_uri + 'gasto-list/') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.simple_path_options_dict_keys) context_dict_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_dict_keys, ['data', "hydra", "id", "rdfs", "subClassOf", "tipo_gasto", "usuario", "valor"]) id_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id") self.assertListEqual(id_context_keys_list, self.keys_from_attrs_context) data_keys_list = self.aux_get_keys_from_acontext_attrs(response, "data") self.assertListEqual(data_keys_list, self.keys_from_attrs_context) tipo_gasto_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "tipo_gasto") self.assertListEqual(tipo_gasto_context_keys_list, self.keys_from_attrs_context) usuario_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "usuario") self.assertListEqual(usuario_context_keys_list, self.keys_from_attrs_context) valor_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "valor") self.assertListEqual(valor_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operation_name = self.aux_get_supported_operations_names(response) self.assertListEqual(operation_name, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['@type'], self.collection_vocab) self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_for_collection_simple_path_with_accept_header(self): response = requests.options(self.controle_base_uri + 'gasto-list/', headers={'accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.simple_path_options_dict_keys) context_dict_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_dict_keys, ['data', "hydra", "id", "rdfs", "subClassOf", "tipo_gasto", "usuario", "valor"]) id_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id") self.assertListEqual(id_context_keys_list, self.keys_from_attrs_context) data_keys_list = self.aux_get_keys_from_acontext_attrs(response, "data") self.assertListEqual(data_keys_list, self.keys_from_attrs_context) tipo_gasto_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "tipo_gasto") self.assertListEqual(tipo_gasto_context_keys_list, self.keys_from_attrs_context) usuario_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "usuario") self.assertListEqual(usuario_context_keys_list, self.keys_from_attrs_context) valor_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "valor") self.assertListEqual(valor_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operation_name = self.aux_get_supported_operations_names(response) self.assertListEqual(operation_name, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['@type'], self.collection_vocab) self.assertEquals(response_dict['subClassOf'], "hydra:Resource") # tests for collection attributes def test_options_for_collection_only_attributes(self): response = requests.options(self.controle_base_uri + 'gasto-list/data,valor') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_keys, ['data', 'hydra', 'rdfs', 'subClassOf', 'valor']) data_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "data") self.assertListEqual(data_context_keys_list, self.keys_from_attrs_context) valor_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "valor") self.assertListEqual(valor_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operation_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operation_names, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_for_collection_only_attributes_with_accept_header(self): response = requests.options(self.controle_base_uri + 'gasto-list/data,valor', headers={'Accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_keys, ["data", "hydra", "rdfs", "subClassOf", "valor"]) data_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "data") self.assertListEqual(data_context_keys_list, self.keys_from_attrs_context) valor_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "valor") self.assertListEqual(valor_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operation_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operation_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # tests for collection operation def test_options_for_collection_operation_with_collection_return(self): response = requests.options(self.controle_base_uri + 'usuario-list/group-by-count/nome') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['count', 'hydra', 'nome', 'rdfs', 'subClassOf']) nome_context_keys = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertEquals(nome_context_keys, self.keys_from_attrs_context) count_context_keys = self.aux_get_keys_from_acontext_attrs(response, "count") self.assertEquals(count_context_keys, self.keys_from_attrs_context) group_by_count_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(group_by_count_context_keys, self.keys_from_oper_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_for_collection_operation_with_collection_return_and_accept_header(self): response = requests.options(self.controle_base_uri + 'usuario-list/group-by-count/nome', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['count', 'hydra', 'nome', 'rdfs', 'subClassOf']) nome_context_keys = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertEquals(nome_context_keys, self.keys_from_attrs_context) count_context_keys = self.aux_get_keys_from_acontext_attrs(response, "count") self.assertEquals(count_context_keys, self.keys_from_attrs_context) group_by_count_context_keys = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertEquals(group_by_count_context_keys, self.keys_from_oper_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_for_collection_operation_with_integer_return(self): response = requests.options(self.controle_base_uri + 'usuario-list/count-resource') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['count-resource', 'hydra', 'rdfs', 'subClassOf']) count_resource_resource_context_keys = self.aux_get_keys_from_acontext_attrs(response, "count-resource") self.assertEquals(count_resource_resource_context_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "hydra:totalItems") self.assertEquals(response_dict['@type'], "https://schema.org/Thing") self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_for_collection_operation_with_integer_return_and_accept_header(self): response = requests.options(self.controle_base_uri + 'usuario-list/count-resource', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertEquals(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(acontext_keys, ['count-resource', 'hydra', 'rdfs', 'subClassOf']) count_resource_resource_context_keys = self.aux_get_keys_from_acontext_attrs(response, "count-resource") self.assertEquals(count_resource_resource_context_keys, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "hydra:totalItems") self.assertEquals(response_dict['@type'], "https://schema.org/Thing") self.assertEquals(response_dict['subClassOf'], "hydra:Resource") # --------------- TESTS FOR FEATURE RESOURCE --------------------------------- # tests for feature simple path def test_options_for_feature_resource_simple_path(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geocodigo', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'sigla', 'subClassOf']) id_objeto_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id_objeto") self.assertListEqual(id_objeto_context_keys_list, self.keys_from_attrs_context) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nomeabrev_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nomeabrev") self.assertListEqual(nomeabrev_context_keys_list, self.keys_from_attrs_context) geometriaaproximada_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geometriaaproximada") self.assertListEqual(geometriaaproximada_context_keys_list, self.keys_from_attrs_context) geocodigo_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geocodigo") self.assertListEqual(geocodigo_context_keys_list, self.keys_from_attrs_context) sigla_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "sigla") self.assertListEqual(sigla_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) #iri_metadata_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "iri_metadata") #self.assertListEqual(iri_metadata_context_keys_list, self.keys_from_attrs_context) #iri_style_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "iri_style") #self.assertListEqual(iri_style_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/State") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_for_feature_resource_simple_path_with_accept_header(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES', headers={'accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geocodigo', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'sigla', 'subClassOf']) id_objeto_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id_objeto") self.assertListEqual(id_objeto_context_keys_list, self.keys_from_attrs_context) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nomeabrev_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nomeabrev") self.assertListEqual(nomeabrev_context_keys_list, self.keys_from_attrs_context) geometriaaproximada_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geometriaaproximada") self.assertListEqual(geometriaaproximada_context_keys_list, self.keys_from_attrs_context) geocodigo_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geocodigo") self.assertListEqual(geocodigo_context_keys_list, self.keys_from_attrs_context) sigla_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "sigla") self.assertListEqual(sigla_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) # iri_metadata_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "iri_metadata") # self.assertListEqual(iri_metadata_context_keys_list, self.keys_from_attrs_context) # iri_style_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "iri_style") # self.assertListEqual(iri_style_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/State") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # tests for feature attributes def test_options_for_feature_resource_only_attributes(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/geom,nome') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_keys, ["hydra", "nome", "rdfs", "subClassOf"]) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_for_feature_resource_only_attributes_with_accept_header(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/geom,nome', headers={'accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_keys, ["hydra", "nome", "rdfs", "subClassOf"]) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_for_feature_resource_only_alphanumeric_attributes(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/geocodigo,nome') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_keys, ["geocodigo", "hydra", "nome", "rdfs", "subClassOf"]) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) geocodigo_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geocodigo") self.assertListEqual(geocodigo_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.basic_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['@type'], "https://schema.org/Thing") self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_for_feature_resource_only_alphanumeric_attributes_with_accept_header(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/geocodigo,nome', headers={'accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_keys, ["geocodigo", "hydra", "nome", "rdfs", "subClassOf"]) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) geocodigo_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geocodigo") self.assertListEqual(geocodigo_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['@type'], "https://schema.org/Thing") self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_for_feature_resource_only_geometric_attribute(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/geom') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_keys, ["hydra", "rdfs", "subClassOf"]) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEquals(response_dict["@type"], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') def test_options_for_feature_resource_only_geometric_attribute_with_accept_header(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/geom', headers={'accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_keys, ["hydra", "rdfs", "subClassOf"]) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEquals(response_dict["@type"], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') def test_options_for_feature_resource_pointfield_attribute(self): response = requests.options(self.bcim_base_uri + 'aldeias-indigenas/623/geom') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_keys, ['hydra', 'rdfs', 'subClassOf']) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://purl.org/geojson/vocab#Point') self.assertEquals(response_dict["@type"], 'https://purl.org/geojson/vocab#Point') self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_for_feature_resource_pointfield_attribute_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + 'aldeias-indigenas/623/geom', headers={"Accept": "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_keys, ['hydra', 'rdfs', 'subClassOf']) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://purl.org/geojson/vocab#Point') self.assertEquals(response_dict["@type"], 'https://purl.org/geojson/vocab#Point') self.assertEquals(response_dict['subClassOf'], "hydra:Resource") # tests for feature operations def test_options_for_feature_resource_operation_with_geometry_return(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/buffer/1.2') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) a_context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(a_context_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEquals(response_dict["@type"], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_for_feature_resource_operation_with_geometry_return_accept_header(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/buffer/1.2', headers={'Accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) a_context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(a_context_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEquals(response_dict["@type"], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_for_feature_resource_area_operation(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/area') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) a_context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(a_context_keys, ['area', 'hydra', 'rdfs', 'subClassOf']) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) area_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "area") self.assertListEqual(area_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://schema.org/Float') self.assertEquals(response_dict["@type"], 'https://schema.org/Thing') self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_for_feature_resource_area_operation_accept_octet_stream(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/area', headers={'Accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) a_context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(a_context_keys, ['area', 'hydra', 'rdfs', 'subClassOf']) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) area_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "area") self.assertListEqual(area_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://schema.org/Float') self.assertEquals(response_dict["@type"], 'https://schema.org/Thing') self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_for_feature_resource_operation_with_point_return(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/point_on_surface') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) a_context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(a_context_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_on_surface_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_on_surface_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://purl.org/geojson/vocab#Point') self.assertEquals(response_dict["@type"], 'https://purl.org/geojson/vocab#Point') self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_for_feature_resource_operation_with_point_return_accept_header(self): response = requests.options(self.bcim_base_uri + 'unidades-federativas/ES/point_on_surface', headers={'Accept': 'application/octet-stream'}) self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) a_context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(a_context_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_on_surface_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_on_surface_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://purl.org/geojson/vocab#Point') self.assertEquals(response_dict["@type"], 'https://purl.org/geojson/vocab#Point') self.assertEquals(response_dict['subClassOf'], "hydra:Resource") # --------------- TESTS FOR NON SPATIAL RESOURCE --------------------------------- # tests for NonSpatialResource simple path def test_options_for_non_spatial_resource_simple_path(self): response = requests.options(self.controle_base_uri + "usuario-list/1/") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['data_nascimento', 'email', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) id_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id") self.assertListEqual(id_context_keys_list, self.keys_from_attrs_context) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nome_usuario_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome_usuario") self.assertListEqual(nome_usuario_context_keys_list, self.keys_from_attrs_context) senha_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "senha") self.assertListEqual(senha_context_keys_list, self.keys_from_attrs_context) data_nascimento_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "data_nascimento") self.assertListEqual(data_nascimento_context_keys_list, self.keys_from_attrs_context) email_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "email") self.assertListEqual(email_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) #avatar_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "avatar") #self.assertListEqual(avatar_context_keys_list, self.keys_from_attrs_context) operation_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operation_names, self.basic_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['@type'], "https://schema.org/Thing") self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_for_non_spatial_resource_simple_path_with_accept_header(self): response = requests.options(self.controle_base_uri + "usuario-list/1/", headers={'Accept': "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['data_nascimento', 'email', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) id_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id") self.assertListEqual(id_context_keys_list, self.keys_from_attrs_context) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nome_usuario_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome_usuario") self.assertListEqual(nome_usuario_context_keys_list, self.keys_from_attrs_context) senha_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "senha") self.assertListEqual(senha_context_keys_list, self.keys_from_attrs_context) data_nascimento_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "data_nascimento") self.assertListEqual(data_nascimento_context_keys_list, self.keys_from_attrs_context) email_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "email") self.assertListEqual(email_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) # avatar_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "avatar") # self.assertListEqual(avatar_context_keys_list, self.keys_from_attrs_context) operation_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operation_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['@type'], "https://schema.org/Thing") self.assertEquals(response_dict['subClassOf'], "hydra:Resource") # tests for NonSpatialResource only attributes def test_options_for_non_spatial_resource_only_attributes(self): response = requests.options(self.controle_base_uri + "usuario-list/1/nome,email") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) email_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "email") self.assertListEqual(email_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.basic_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@type'], "https://schema.org/Thing") self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['subClassOf'], "hydra:Resource") def test_options_for_non_spatial_resource_only_attributes_with_accept_header(self): response = requests.options(self.controle_base_uri + "usuario-list/1/nome,email", headers={'Accept': "application/octet-stream"}) self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) email_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "email") self.assertListEqual(email_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@type'], "https://schema.org/Thing") self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['subClassOf'], "hydra:Resource") # ------------------- TESTS FOR ENTRY POINTS ------------------------------------- def test_options_for_feature_entrypoint(self): response = requests.options(self.bcim_base_uri) self.assertEquals(response.status_code, 200) #self.assertEqual(response.headers['Link'], #'<http://luc00557196:8000/api/bcim/>; rel="https://schema.org/EntryPoint" , <http://luc00557196:8000/api/bcim.jsonld>; rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json"') a_context_keys = self.aux_get_keys_from_response_context(response) ''' self.assertListEqual(a_context_keys, ['aglomerados rurais de extensao urbana', 'aglomerados rurais isolado', 'aldeias indigenas', 'areas de desenvolvimento de controle', 'areas edificadas', 'bancos de areia', 'barragens', 'brejos e pantanos', 'capitais', 'cidades', 'corredeiras', 'curvas batimetricas', 'curvas de nivel', 'dunas', 'eclusas', 'edificacoes agropecuarias de extracao vegetal e pesca', 'edificacoes de construcao aeroportuaria', 'edificacoes de construcao portuaria', 'edificacoes de metro ferroviaria', 'edificacoes industrial', 'edificacoes publica militar', 'edificacoes religiosa', 'elementos fisiografico natural', 'estacoes geradoras de energia eletrica', 'extracoes minerais', 'fozes maritima', 'fundeadouros', 'hidreletricas', 'ilhas', 'mangues', 'marcos de limite', 'massas dagua', 'municipios', 'outros limites oficiais', 'paises', 'picos', 'pistas de ponto pouso', 'pontes', 'pontos cotados altimetricos', 'pontos cotados batimetricos', 'postos fiscais', 'quedas dagua', 'recifes', 'rochas em agua', 'sinalizacoes', 'sumidouros vertedouros', 'termeletricas', 'terras indigenas', 'terrenos sujeito a inundacao', 'torres de energia', 'travessias', 'trechos de drenagem', 'trechos de massa dagua', 'trechos dutos', 'trechos ferroviarios', 'trechos hidroviarios', 'trechos rodoviarios', 'tuneis', 'unidades de conservacao nao snuc', 'unidades de protecao integral', 'unidades de uso sustentavel', 'unidades federativas', 'vegetacoes de restinga', 'vilas']) ''' self.assertListEqual(a_context_keys, ['aglomerados-rurais-de-extensao-urbana', 'aglomerados-rurais-isolado', 'aldeias-indigenas', 'areas-de-desenvolvimento-de-controle', 'areas-edificadas', 'bancos-de-areia', 'barragens', 'brejos-e-pantanos', 'capitais', 'cidades', 'corredeiras', 'curvas-batimetricas', 'curvas-de-nivel', 'dunas', 'eclusas', 'edificacoes-agropecuarias-de-extracao-vegetal-e-pesca', 'edificacoes-de-construcao-aeroportuaria', 'edificacoes-de-construcao-portuaria', 'edificacoes-de-metro-ferroviaria', 'edificacoes-industrial', 'edificacoes-publica-militar', 'edificacoes-religiosa', 'elementos-fisiografico-natural', 'estacoes-geradoras-de-energia-eletrica', 'extracoes-minerais', 'fozes-maritima', 'fundeadouros', 'hidreletricas', 'hydra', 'ilhas', 'mangues', 'marcos-de-limite', 'massas-dagua', 'municipios', 'outros-limites-oficiais', 'paises', 'picos', 'pistas-de-ponto-pouso', 'pontes', 'pontos-cotados-altimetricos', 'pontos-cotados-batimetricos', 'postos-fiscais', 'quedas-dagua', 'rdfs', 'recifes', 'rochas-em-agua', 'sinalizacoes', 'subClassOf', 'sumidouros-vertedouros', 'termeletricas', 'terras-indigenas', 'terrenos-sujeito-a-inundacao', 'torres-de-energia', 'travessias', 'trechos-de-drenagem', 'trechos-de-massa-dagua', 'trechos-dutos', 'trechos-ferroviarios', 'trechos-hidroviarios', 'trechos-rodoviarios', 'tuneis', 'unidades-de-conservacao-nao-snuc', 'unidades-de-protecao-integral', 'unidades-de-uso-sustentavel', 'unidades-federativas', 'vegetacoes-de-restinga', 'vilas']) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], self.link_vocab) self.assertEquals(response_dict["@type"], self.entrypoint_vocab) self.assertEquals(response_dict["@context"]['aglomerados-rurais-de-extensao-urbana']["@id"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["@context"]['aglomerados-rurais-de-extensao-urbana']["@type"], "@id") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_for_raster_entrypoint(self): response = requests.options(self.raster_base_uri) self.assertEquals(response.status_code, 200) a_context_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(a_context_keys, ['hydra', 'imagem-exemplo-tile1-list', 'imagem-exemplo1-list', 'imagem-exemplo2-list', 'imagem-exemplo4-tile2-list', 'rdfs', 'subClassOf']) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], self.link_vocab) self.assertEquals(response_dict["@type"], self.entrypoint_vocab) self.assertEquals(response_dict["@context"]['imagem-exemplo-tile1-list']["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@context"]['imagem-exemplo-tile1-list']["@type"], "@id") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") def test_options_for_non_spatial_entrypoint(self): response = requests.options(self.controle_base_uri) self.assertEquals(response.status_code, 200) a_context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(a_context_keys, ['gasto-list', 'hydra', 'rdfs', 'subClassOf', 'tipo-gasto-list', 'usuario-list']) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], self.link_vocab) self.assertEquals(response_dict["@type"], self.entrypoint_vocab) self.assertEquals(response_dict["@context"]['gasto-list']["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@context"]['gasto-list']["@type"], "@id") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") #python manage.py test hyper_resource.tests.GetRequestContextTest --testrunner=hyper_resource.tests.NoDbTestRunner class GetRequestContextTest(AbstractOptionsRequestTest): # --------------- TESTS FOR FEATURE RESOURCE --------------------------------- # tests for feature resource simple path def test_suffixed_request_to_feature_resource_simple_path(self): response = requests.get(self.bcim_base_uri + "unidades-federativas/ES.jsonld") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geocodigo', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'sigla', 'subClassOf']) id_objeto_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id_objeto") self.assertListEqual(id_objeto_context_keys_list, self.keys_from_attrs_context) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nomeabrev_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nomeabrev") self.assertListEqual(nomeabrev_context_keys_list, self.keys_from_attrs_context) geometriaaproximada_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geometriaaproximada") self.assertListEqual(geometriaaproximada_context_keys_list, self.keys_from_attrs_context) geocodigo_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geocodigo") self.assertListEqual(geocodigo_context_keys_list, self.keys_from_attrs_context) sigla_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "sigla") self.assertListEqual(sigla_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://schema.org/State') self.assertEquals(response_dict["@type"], 'https://purl.org/geojson/vocab#Feature') self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') # tests for feature resource attributes def test_suffixed_request_to_feature_resource_only_attributes(self): response = requests.get(self.bcim_base_uri + "unidades-federativas/ES/geom,geocodigo,sigla.jsonld") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geocodigo', 'hydra', 'rdfs', 'sigla', 'subClassOf']) geocodigo_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geocodigo") self.assertListEqual(geocodigo_context_keys_list, self.keys_from_attrs_context) sigla_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "sigla") self.assertListEqual(sigla_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') def test_suffixed_request_to_feature_resource_only_alphanumeric_attributes(self): response = requests.get(self.bcim_base_uri + "unidades-federativas/ES/geocodigo,sigla.jsonld") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geocodigo', 'hydra', 'rdfs', 'sigla', 'subClassOf']) geocodigo_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geocodigo") self.assertListEqual(geocodigo_context_keys_list, self.keys_from_attrs_context) sigla_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "sigla") self.assertListEqual(sigla_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.basic_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://schema.org/Thing') self.assertEquals(response_dict["@type"], 'https://schema.org/Thing') self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') def test_suffixed_request_to_feature_resource_only_geometric_attribute(self): response = requests.get(self.bcim_base_uri + "unidades-federativas/ES/geom.jsonld") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEquals(response_dict["@type"], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') # tests for feature resource operations def test_suffixed_request_to_feature_resource_operation_with_float_return(self): response = requests.get(self.bcim_base_uri + 'unidades-federativas/ES/area.jsonld') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) a_context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(a_context_keys, ['area', 'hydra', 'rdfs', 'subClassOf']) area_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "area") self.assertListEqual(area_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://schema.org/Float') self.assertEquals(response_dict["@type"], 'https://schema.org/Thing') self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') def test_suffixed_request_to_feature_resource_operation_with_geometry_return(self): response = requests.get(self.bcim_base_uri + 'unidades-federativas/ES/buffer/1.2.jsonld') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) a_context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(a_context_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEquals(response_dict["@type"], 'https://purl.org/geojson/vocab#MultiPolygon') self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') def test_suffixed_request_to_feature_resource_point_on_surface_operation(self): response = requests.get(self.bcim_base_uri + 'unidades-federativas/ES/point_on_surface.jsonld') self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) a_context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(a_context_keys, ['hydra', 'rdfs', 'subClassOf']) subClassOf_on_surface_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_on_surface_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://purl.org/geojson/vocab#Point') self.assertEquals(response_dict["@type"], 'https://purl.org/geojson/vocab#Point') self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') # --------------- TESTS FOR FEATURE COLLECTION --------------------------------- # tests for feature collection simple path def test_suffixed_request_to_feature_collection_resource_simple_path(self): response = requests.get(self.bcim_base_uri + "unidades-federativas.jsonld") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['geocodigo', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'sigla', 'subClassOf']) id_objeto_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id_objeto") self.assertListEqual(id_objeto_context_keys_list, self.keys_from_attrs_context) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nomeabrev_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nomeabrev") self.assertListEqual(nomeabrev_context_keys_list, self.keys_from_attrs_context) geometriaaproximada_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geometriaaproximada") self.assertListEqual(geometriaaproximada_context_keys_list, self.keys_from_attrs_context) geocodigo_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geocodigo") self.assertListEqual(geocodigo_context_keys_list, self.keys_from_attrs_context) sigla_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "sigla") self.assertListEqual(sigla_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/State") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) # tests for feature collection attributes def test_suffixed_request_to_feature_collection_resource_only_attributes(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/nome,geom.jsonld") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'nome', 'rdfs', 'subClassOf']) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_suffixed_request_feature_collection_only_geometric_attribute(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/geom.jsonld") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['hydra', 'rdfs', 'subClassOf']) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Point") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#GeometryCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_suffixed_request_feature_collection_only_alphanumeric_attributes(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/nome,nomeabrev.jsonld") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) context_dict_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_dict_keys, ['hydra', 'nome', 'nomeabrev', 'rdfs', 'subClassOf']) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nomeabrev_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nomeabrev") self.assertListEqual(nomeabrev_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], 'https://schema.org/Thing') self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') # tests for feature collection operations def test_suffixed_request_feature_collection_operation_with_geometry_collection_return(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/within/" + self.bcim_base_uri + "unidades-federativas/ES.jsonld") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) context_dict_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_dict_keys, ['codigofunai', 'etnia', 'geometriaaproximada', 'hydra', 'id_objeto', 'nome', 'nomeabrev', 'rdfs', 'subClassOf', 'terraindigena']) id_objeto_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id_objeto") self.assertListEqual(id_objeto_context_keys_list, self.keys_from_attrs_context) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nomeabrev_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nomeabrev") self.assertListEqual(nomeabrev_context_keys_list, self.keys_from_attrs_context) geometriaaproximada_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geometriaaproximada") self.assertListEqual(geometriaaproximada_context_keys_list, self.keys_from_attrs_context) codigofunai_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "codigofunai") self.assertListEqual(codigofunai_context_keys_list, self.keys_from_attrs_context) terraindigena_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "terraindigena") self.assertListEqual(terraindigena_context_keys_list, self.keys_from_attrs_context) etnia_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "etnia") self.assertListEqual(etnia_context_keys_list, self.keys_from_attrs_context) #geom_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "geom") #self.assertListEqual(geom_context_keys_list, self.keys_from_attrs_context) # rdfs_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, 'rdfs') # self.assertListEqual(rdfs_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.spatial_collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://purl.org/geojson/vocab#Feature") self.assertEquals(response_dict["@type"], "https://purl.org/geojson/vocab#FeatureCollection") self.assertEquals(response_dict["subClassOf"], self.collection_vocab) def test_suffixed_request_feature_collection_operation_with_integer_return(self): response = requests.get(self.bcim_base_uri + "aldeias-indigenas/count-resource.jsonld") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.non_simple_path_dict_keys) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations_names, []) context_dict_keys = self.aux_get_keys_from_response_context(response) self.assertEquals(context_dict_keys, ["count-resource", 'hydra', 'rdfs', 'subClassOf']) count_resource_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'count-resource') self.assertEquals(count_resource_acontext_keys, self.keys_from_oper_context) subClassOf_acontext_keys = self.aux_get_keys_from_acontext_attrs(response, 'subClassOf') self.assertEquals(subClassOf_acontext_keys, self.keys_from_oper_context) supported_operations = self.aux_get_supported_operations_names(response) self.assertEquals(supported_operations, []) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "hydra:totalItems") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # --------------- TESTS FOR NON SPATIAL RESOURCE --------------------------------- # tests for nonspatialresource simple path def test_suffixed_request_to_non_spatial_resource_simple_path(self): response = requests.get(self.controle_base_uri + "usuario-list/1.jsonld") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['data_nascimento', 'email', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) #avatar_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "avatar") #self.assertListEqual(avatar_context_keys_list, self.keys_from_attrs_context) data_nascimento_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "data_nascimento") self.assertListEqual(data_nascimento_context_keys_list, self.keys_from_attrs_context) email_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "email") self.assertListEqual(email_context_keys_list, self.keys_from_attrs_context) id_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id") self.assertListEqual(id_context_keys_list, self.keys_from_attrs_context) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nome_usuario_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome_usuario") self.assertListEqual(nome_usuario_context_keys_list, self.keys_from_attrs_context) senha_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "senha") self.assertListEqual(senha_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.basic_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['@type'], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') # tests for nonspatialresource attributes def test_suffixed_request_to_non_spatial_resource_only_attributes(self): response = requests.get(self.controle_base_uri + "usuario-list/1/nome,email.jsonld") self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['email', 'hydra', 'nome', 'rdfs', 'subClassOf']) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) email_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "email") self.assertListEqual(email_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) supported_operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(supported_operations_names, self.basic_operations_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict["@id"], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], "https://schema.org/Thing") self.assertEquals(response_dict["subClassOf"], "hydra:Resource") # --------------- TESTS FOR COLLECTION --------------------------------- # tests for collection simple path def test_suffixed_request_to_collection_resource_simple_path(self): response = requests.get(self.controle_base_uri + "usuario-list.jsonld") self.assertEquals(response.status_code, 200) response_dict_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_dict_keys, self.simple_path_options_dict_keys) acontext_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(acontext_keys, ['data_nascimento', 'email', 'hydra', 'id', 'nome', 'nome_usuario', 'rdfs', 'senha', 'subClassOf']) #avatar_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "avatar") #self.assertListEqual(avatar_context_keys_list, self.keys_from_attrs_context) data_nascimento_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "data_nascimento") self.assertListEqual(data_nascimento_context_keys_list, self.keys_from_attrs_context) email_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "email") self.assertListEqual(email_context_keys_list, self.keys_from_attrs_context) id_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "id") self.assertListEqual(id_context_keys_list, self.keys_from_attrs_context) nome_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome") self.assertListEqual(nome_context_keys_list, self.keys_from_attrs_context) nome_usuario_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "nome_usuario") self.assertListEqual(nome_usuario_context_keys_list, self.keys_from_attrs_context) senha_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "senha") self.assertListEqual(senha_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operations_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operations_names, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict['@type'], self.collection_vocab) self.assertEquals(response_dict['subClassOf'], "hydra:Resource") # tests for collection attributes def test_suffixed_request_to_collection_resource_only_attributes(self): response = requests.get(self.controle_base_uri + 'gasto-list/data,valor.jsonld') self.assertEquals(response.status_code, 200) response_keys = self.aux_get_keys_from_response(response) self.assertListEqual(response_keys, self.non_simple_path_dict_keys) context_keys = self.aux_get_keys_from_response_context(response) self.assertListEqual(context_keys, ['data', 'hydra', 'rdfs', 'subClassOf', 'valor']) data_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "data") self.assertListEqual(data_context_keys_list, self.keys_from_attrs_context) valor_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "valor") self.assertListEqual(valor_context_keys_list, self.keys_from_attrs_context) subClassOf_context_keys_list = self.aux_get_keys_from_acontext_attrs(response, "subClassOf") self.assertListEqual(subClassOf_context_keys_list, self.keys_from_attrs_context) operation_names = self.aux_get_supported_operations_names(response) self.assertListEqual(operation_names, self.collection_operation_names) response_dict = self.aux_get_dict_from_response(response) self.assertEquals(response_dict['@id'], "https://schema.org/Thing") self.assertEquals(response_dict["@type"], self.collection_vocab) self.assertEquals(response_dict["subClassOf"], 'hydra:Resource') # tests for collection operation # tests for collection collect operation # ------------------- TESTS FOR ENTRY POINTS ------------------------------------- #python manage.py test hyper_resource.tests.PaginationTest --testrunner=hyper_resource.tests.NoDbTestRunner class PaginationTest(AbstractHeadRequestTest): ''' def test_collection_simple_path_pagination(self): response = requests.get(self.controle_base_uri + "gasto-list/") self.assertEquals(response.status_code, 200) # the string must be hardcoded, if not, the test fails expected_link = '<http://luc00557196:8000/controle-list/>; rel="up" , <http://luc00557196:8000/controle-list/gasto-list.jsonld>; rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" , <http://luc00557196:8000/controle-list/gasto-list/offset-limit/101&100>; rel="next" ' #expected_link = '<' + HOST + 'api/bcim/>; rel="up" , <' + HOST + 'api/bcim/aldeias-indigenas.jsonld>; rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" , <' + HOST + 'api/bcim/aldeias-indigenas/offset-limit/101&100>; rel="next" ' self.assertEquals(response.headers["link"], expected_link) ''' ''' def test_feature_collection_simle_path_ordering_by_geometry_longitude(self): response = requests.get(self.bcim_base_uri + "unidades-federativas/order_by/geom") self.assertEquals(response.status_code, 200) response_dict = self.aux_get_dict_from_response(response) features_names_ordered_by_longitude = [ uf['properties']['nome'] for uf in response_dict['features'] ] expected_names_ordered_by_longitude = ['Acre', 'Amazonas', 'Rondรดnia', 'Roraima', 'Mato Grosso', 'Parรก', 'Mato Grosso do Sul', 'Rio Grande do Sul', 'Amapรก', 'Paranรก', 'Santa Catarina', 'Goiรกs', 'Sรฃo Paulo', 'Minas Gerais', 'Tocantins', 'Maranhรฃo', 'Distrito Federal', 'Bahia', 'Piauรญ', 'Rio de Janeiro', 'Espรญrito Santo', 'Cearรก', 'Pernambuco', 'Paraรญba', 'Rio Grande do Norte', 'Sergipe', 'Alagoas'] self.assertListEqual(features_names_ordered_by_longitude, expected_names_ordered_by_longitude) ''' def test_head_collection_simple_path_pagination(self): response = requests.head(self.controle_base_uri + "gasto-list/") self.assertEquals(response.status_code, 200) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertNotIn('rel="describedBy"', response.headers['link']) up_hypermidia_control = self.aux_get_hypermidia_control_from_link_header(response, 'up') self.assertEquals(up_hypermidia_control, "<" + self.controle_base_uri + ">") context_hypermidia_control = self.aux_get_hypermidia_control_from_link_header(response, 'http://www.w3.org/ns/json-ld#context') self.assertEquals(context_hypermidia_control, "<" + self.controle_base_uri + "gasto-list.jsonld>; type=\"application/ld+json\"") next_hypermidia_control = self.aux_get_hypermidia_control_from_link_header(response, 'next') self.assertEquals(next_hypermidia_control, "<" + self.controle_base_uri + "gasto-list/offset-limit/1001/1000>") def test_head_collection_pagination_with_offset_limit_operation(self): response = requests.head(self.controle_base_uri + "gasto-list/offset-limit/1001&1000") self.assertEquals(response.status_code, 200) self.assertIn('rel="http://www.w3.org/ns/json-ld#context"; type="application/ld+json" ', response.headers['link']) self.assertIn('rel="metadata"', response.headers['link']) self.assertIn('rel="stylesheet', response.headers['link']) self.assertIn('rel="up"', response.headers['link']) self.assertNotIn('rel="https://schema.org/EntryPoint"', response.headers['link']) self.assertNotIn('rel="describedBy"', response.headers['link']) up_hypermidia_control = self.aux_get_hypermidia_control_from_link_header(response, 'up') self.assertEquals(up_hypermidia_control, "<" + self.controle_base_uri + ">") context_hypermidia_control = self.aux_get_hypermidia_control_from_link_header(response, 'http://www.w3.org/ns/json-ld#context') self.assertEquals(context_hypermidia_control, "<" + self.controle_base_uri + "gasto-list/offset-limit/1001&1000.jsonld>; type=\"application/ld+json\"") next_hypermidia_control = self.aux_get_hypermidia_control_from_link_header(response, 'next') self.assertEquals(next_hypermidia_control, "<" + self.controle_base_uri + "gasto-list/offset-limit/2001&1000>") """ # Pagination for feature collection must be specific for each case # In this specific "aldeias-indigenas" case we are dealing with Poits and don't make sense paginate about 200 Points def test_feature_collection_simple_path_pagination(self): response = requests.head(self.bcim_base_uri + "aldeias-indigenas/") self.assertEquals(response.status_code, 200) expected_link = '<http://luc00557196:8000/api/bcim/aldeias-indigenas/offset-limit/1001/100>; rel="next" ' self.assertNotIn(expected_link, response.headers["link"]) """

63.750919

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676,716

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false

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null

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null

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8

ec2fcc0503789b806683d8c4f39d4c37c976288e

440

py

Python

aiocouch/__init__.py

adrienverge/aiocouch

c75d6c8ef322947f8b4e8a2b329e68bb03be6b83

[ "BSD-3-Clause" ]

null

aiocouch/__init__.py

adrienverge/aiocouch

c75d6c8ef322947f8b4e8a2b329e68bb03be6b83

[ "BSD-3-Clause" ]

null

aiocouch/__init__.py

adrienverge/aiocouch

c75d6c8ef322947f8b4e8a2b329e68bb03be6b83

[ "BSD-3-Clause" ]

null

from .couchdb import CouchDB from .exception import ( BadRequestError, ConflictError, UnauthorizedError, NotFoundError, ExpectationFailedError, PreconditionFailedError, UnsupportedMediaTypeError, ) __all__ = [ "CouchDB", "BadRequestError", "ConflictError", "UnauthorizedError", "NotFoundError", "ExpectationFailedError", "PreconditionFailedError", "UnsupportedMediaTypeError", ]

20

32

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440

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0.375405

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0

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440

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0.880342

0

0.306818

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0

1

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false

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0

1

null

0

1

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null

0

7

6b619fd684aa25b6dbf08d7402ec1e7fa0d4e820

14,318

py

Python

geosoft/gxapi/GXGRID3D.py

fearaschiarrai/gxpy

4c5e7594b24e530a8cd94df1eef562c5c6ce3e92

[ "BSD-2-Clause" ]

25

2017-07-14T06:39:37.000Z

2022-03-09T21:39:51.000Z

geosoft/gxapi/GXGRID3D.py

fearaschiarrai/gxpy

4c5e7594b24e530a8cd94df1eef562c5c6ce3e92

[ "BSD-2-Clause" ]

100

2016-12-13T17:30:41.000Z

2021-08-01T20:21:13.000Z

geosoft/gxapi/GXGRID3D.py

fearaschiarrai/gxpy

4c5e7594b24e530a8cd94df1eef562c5c6ce3e92

[ "BSD-2-Clause" ]

28

2016-12-12T17:34:40.000Z

2022-03-16T15:39:39.000Z

### extends 'class_empty.py' ### block ClassImports # NOTICE: Do not edit anything here, it is generated code from . import gxapi_cy from geosoft.gxapi import GXContext, float_ref, int_ref, str_ref ### endblock ClassImports ### block Header # NOTICE: The code generator will not replace the code in this block ### endblock Header ### block ClassImplementation # NOTICE: Do not edit anything here, it is generated code class GXGRID3D(gxapi_cy.WrapGRID3D): """ GXGRID3D class. High Performance 3D Grid. """ def __init__(self, handle=0): super(GXGRID3D, self).__init__(GXContext._get_tls_geo(), handle) @classmethod def null(cls): """ A null (undefined) instance of `GXGRID3D <geosoft.gxapi.GXGRID3D>` :returns: A null `GXGRID3D <geosoft.gxapi.GXGRID3D>` :rtype: GXGRID3D """ return GXGRID3D() def is_null(self): """ Check if this is a null (undefined) instance :returns: True if this is a null (undefined) instance, False otherwise. :rtype: bool """ return self._internal_handle() == 0 # Miscellaneous def get_type(self): """ Get the type of this GRID3D :rtype: int .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ ret_val = self._get_type() return ret_val def is_thematic(self): """ Does this grid3d contain thematic data :rtype: bool .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ ret_val = self._is_thematic() return ret_val def is_double(self): """ Does this grid3d contain floating point data :rtype: bool .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ ret_val = self._is_double() return ret_val def is_vector(self): """ Does this grid3d contain vector data :rtype: bool .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ ret_val = self._is_vector() return ret_val def get_tpat(self, ipj): """ Get the TPAT from the thematic grid3d. :param ipj: `GXTPAT <geosoft.gxapi.GXTPAT>` object :type ipj: GXTPAT .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ self._get_tpat(ipj) def set_tpat(self, ipj): """ Set the TPAT of a thematic grid3d. :param ipj: `GXTPAT <geosoft.gxapi.GXTPAT>` object :type ipj: GXTPAT .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ self._set_tpat(ipj) def get_double_stats(self, num_valid, num_dummies, min, max, mean, stddev): """ Get Double statistics. :param num_valid: Number of valid values :param num_dummies: Number of invalid values :param min: Min value :param max: Maximum value :param mean: Mean value :param stddev: Standard Deviation :type num_valid: int_ref :type num_dummies: int_ref :type min: float_ref :type max: float_ref :type mean: float_ref :type stddev: float_ref .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ num_valid.value, num_dummies.value, min.value, max.value, mean.value, stddev.value = self._get_double_stats(num_valid.value, num_dummies.value, min.value, max.value, mean.value, stddev.value) def get_thematic_stats(self, num_valid, num_dummies, min, max, mean, stddev): """ Get Thematic Data statistics. :param num_valid: Number of valid values :param num_dummies: Number of invalid values :param min: Min value :param max: Maximum value :param mean: Mean value :param stddev: Standard Deviation :type num_valid: int_ref :type num_dummies: int_ref :type min: int_ref :type max: int_ref :type mean: int_ref :type stddev: int_ref .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ num_valid.value, num_dummies.value, min.value, max.value, mean.value, stddev.value = self._get_thematic_stats(num_valid.value, num_dummies.value, min.value, max.value, mean.value, stddev.value) def get_vector_stats(self, num_valid, num_dummies, min_x, min_y, min_z, max_x, max_y, max_z, mean_x, mean_y, mean_z, stddev_x, stddev_y, stddev_z): """ Get Vector Data statistics. :param num_valid: Number of valid values :param num_dummies: Number of invalid values :param min_x: Min X value :param min_y: Min Y value :param min_z: Min Z value :param max_x: Maximum X value :param max_y: Maximum Y value :param max_z: Maximum Z value :param mean_x: Mean X value :param mean_y: Mean Y value :param mean_z: Mean Z value :param stddev_x: Standard X Deviation :param stddev_y: Standard Y Deviation :param stddev_z: Standard Z Deviation :type num_valid: int_ref :type num_dummies: int_ref :type min_x: float_ref :type min_y: float_ref :type min_z: float_ref :type max_x: float_ref :type max_y: float_ref :type max_z: float_ref :type mean_x: float_ref :type mean_y: float_ref :type mean_z: float_ref :type stddev_x: float_ref :type stddev_y: float_ref :type stddev_z: float_ref .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ num_valid.value, num_dummies.value, min_x.value, min_y.value, min_z.value, max_x.value, max_y.value, max_z.value, mean_x.value, mean_y.value, mean_z.value, stddev_x.value, stddev_y.value, stddev_z.value = self._get_vector_stats(num_valid.value, num_dummies.value, min_x.value, min_y.value, min_z.value, max_x.value, max_y.value, max_z.value, mean_x.value, mean_y.value, mean_z.value, stddev_x.value, stddev_y.value, stddev_z.value) def fill_double(self, value): """ Fill the grid3d with a single double value. :param value: Fill Value :type value: float .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ self._fill_double(value) def fill_thematic(self, value): """ Fill the grid3d with a single thematic value. :param value: Fill Value :type value: int .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ self._fill_thematic(value) def fill_vector(self, value_x, value_y, value_z): """ Fill the grid3d with a single vector value. :param value_x: Fill Value X :param value_y: Fill Value Y :param value_z: Fill Value Z :type value_x: float :type value_y: float :type value_z: float .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ self._fill_vector(value_x, value_y, value_z) def get_elements_in_block_x(self): """ Get the number of cells in the block in the X direction :rtype: int .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ ret_val = self._get_elements_in_block_x() return ret_val def get_elements_in_block_y(self): """ Get the number of cells in the block in the Y direction :rtype: int .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ ret_val = self._get_elements_in_block_y() return ret_val def get_elements_in_block_z(self): """ Get the number of cells in the block in the Z direction :rtype: int .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ ret_val = self._get_elements_in_block_z() return ret_val def read_x(self, x, y, z, VV): """ Read data from a GRID3D in the x direction (MOST EFFICIENT) :param x: X location :param y: Y location :param z: Z location :param VV: VV Containing Data :type x: int :type y: int :type z: int :type VV: GXVV :rtype: int .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ ret_val = self._read_x(x, y, z, VV) return ret_val def write_x(self, x, y, z, VV): """ Write data to a GRID3D in the X direction (MOST EFFICIENT) :param x: X location :param y: Y location :param z: Z location :param VV: VV Containing Data :type x: int :type y: int :type z: int :type VV: GXVV :rtype: int .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ ret_val = self._write_x(x, y, z, VV) return ret_val def read_y(self, x, y, z, VV): """ Read data from a GRID3D in the Y direction :param x: X location :param y: Y location :param z: Z location :param VV: VV Containing Data :type x: int :type y: int :type z: int :type VV: GXVV :rtype: int .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ ret_val = self._read_y(x, y, z, VV) return ret_val def write_y(self, x, y, z, VV): """ Write data to a GRID3D in the Y direction :param x: X location :param y: Y location :param z: Z location :param VV: VV Containing Data :type x: int :type y: int :type z: int :type VV: GXVV :rtype: int .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ ret_val = self._write_y(x, y, z, VV) return ret_val def read_z(self, x, y, z, VV): """ Read data from a GRID3D in the Z direction :param x: X location :param y: Y location :param z: Z location :param VV: VV Containing Data :type x: int :type y: int :type z: int :type VV: GXVV :rtype: int .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ ret_val = self._read_z(x, y, z, VV) return ret_val def write_z(self, x, y, z, VV): """ Write data to a GRID3D in the Z direction :param x: X location :param y: Y location :param z: Z location :param VV: VV Containing Data :type x: int :type y: int :type z: int :type VV: GXVV :rtype: int .. versionadded:: 9.4 **License:** `Geosoft Open License <https://geosoftgxdev.atlassian.net/wiki/spaces/GD/pages/2359406/License#License-open-lic>`_ """ ret_val = self._write_z(x, y, z, VV) return ret_val ### endblock ClassImplementation ### block ClassExtend # NOTICE: The code generator will not replace the code in this block ### endblock ClassExtend ### block Footer # NOTICE: The code generator will not replace the code in this block ### endblock Footer

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7

6b7b2a29bcbbdabcbf2cdba95df668b81ac90c1b

11,584

py

Python

PROJECTS/p001/PSEF_SCRIPTS/ctemplates.py

nihole/PSEFABRIC

366461ab86f99665bf310425c6ce05a216343ec9

[ "Apache-2.0", "MIT" ]

11

2017-06-29T10:12:39.000Z

2020-03-12T07:19:11.000Z

PROJECTS/p001/PSEF_SCRIPTS/ctemplates.py

nihole/PSEFABRIC

366461ab86f99665bf310425c6ce05a216343ec9

[ "Apache-2.0", "MIT" ]

null

PROJECTS/p001/PSEF_SCRIPTS/ctemplates.py

nihole/PSEFABRIC

366461ab86f99665bf310425c6ce05a216343ec9

[ "Apache-2.0", "MIT" ]

3

2019-04-18T06:44:21.000Z

2021-06-26T14:22:55.000Z

import re import cidr_to_netmask ''' The list of templates for cisco ''' ######## vlan ########### def cisco_create_vlan (name, ipv4_prefix, vlan, vrf, interface): config_txt = ''' vlan %s name %s''' % (vlan, name) return config_txt def cisco_delete_vlan (name, ipv4_prefix, vlan, vrf, interface): config_txt = ''' no vlan %s''' % vlan return config_txt ######## svi ########### def cisco_create_svi (name, ipv4_prefix, vlan, vrf, interface): network, netmask, gate = cidr_to_netmask.cidr_to_netmask(ipv4_prefix) vrf_forw = '' if not vrf == 'none': vrf_forw = 'ip vrf forwarding %s\n' % vrf config_txt = ''' interface vlan%s description %s %sip address %s %s no shut''' % (vlan, name, vrf_forw, gate, netmask) return config_txt def cisco_delete_svi (name, ipv4_prefix, vlan, vrf, interface): config_txt = ''' no interface vlan%s''' % vlan return config_txt ######## address ########### def cisco_create_address (name, ipv4_prefix, vlan, vrf, interface): network, netmask, gate = cidr_to_netmask.cidr_to_netmask(ipv4_prefix) config_txt = ''' object-group network %s %s %s''' % (name, network, netmask) return config_txt def cisco_delete_address (name, ipv4_prefix, vlan, vrf, interface): network, netmask, gate = cidr_to_netmask.cidr_to_netmask(ipv4_prefix) config_txt = ''' no object-group network %s''' % (name) return config_txt def asa_create_address (name, ipv4_prefix, vlan, vrf, interface): network, netmask, gate = cidr_to_netmask.cidr_to_netmask(ipv4_prefix) config_txt = ''' object-group network %s network-object %s %s''' % (name, network, netmask) return config_txt def asa_delete_address (name, ipv4_prefix, vlan, vrf, interface): network, netmask, gate = cidr_to_netmask.cidr_to_netmask(ipv4_prefix) config_txt = ''' no object-group network %s object-group network %s no network-object %s %s no object-group network %s''' % (name, name, network, netmask, name) return config_txt ######## vlan_to_trunk ########## def cisco_add_vlan_to_trunk (name, ipv4_prefix, vlan, vrf, interface): config_txt = '' if not (vlan == 'none' or interface == 'none'): config_txt = ''' interface %s switchport trunk allowed vlan add %s''' % (interface, vlan) return config_txt def cisco_remove_vlan_to_trunk (name, ipv4_prefix, vlan, vrf, interface): config_txt = '' if not (vlan == 'none' or interface == 'none'): config_txt = ''' interface %s switchport trunk allowed vlan remove %s''' % (interface, vlan) return config_txt ######## address-set ########## def cisco_create_address_set (name,addresses): config_addresses = '' for address_element in addresses: if ( config_addresses == ''): config_addresses = 'group-object %s' % address_element else: config_addresses = config_addresses + '\n' + 'group-object %s' % address_element config_txt = ''' object-group network %s %s''' % (name, config_addresses) return config_txt def cisco_delete_address_set (name,addresses): config_addresses = '' for address_element in addresses: if ( config_addresses == ''): config_addresses = 'no group-object %s' % address_element else: config_addresses = config_addresses + '\n' + 'no group-object %s' % address_element config_txt = ''' no object-group network %s object-group network %s %s no object-group network %s''' % (name, name, config_addresses,name) return config_txt def asa_create_address_set (name,addresses): config_addresses = '' for address_element in addresses: if ( config_addresses == ''): config_addresses = 'group-object %s' % address_element else: config_addresses = config_addresses + '\n' + 'group-object %s' % address_element config_txt = ''' object-group network %s %s''' % (name, config_addresses) return config_txt def asa_delete_address_set (name,addresses): config_addresses = '' for address_element in addresses: if ( config_addresses == ''): config_addresses = 'no group-object %s' % address_element else: config_addresses = config_addresses + '\n' + 'no group-object %s' % address_element config_txt = ''' object-group network %s %s no object-group network %s no object-group network %s''' % (name, config_addresses, name, name) return config_txt ######### service ########### def cisco_create_service (name, prot, ports): if (prot == '6'): prot_ = 'tcp' elif (prot == '17'): prot_ = 'udp' elif (prot == '1'): prot_ = 'icmp' else: prot_ = prot if 'lower-port' in ports: ports_range = 'range %s %s' % (ports['lower-port'], ports['upper-port']) else: ports_range = '' config_txt = ''' object-group service %s %s %s''' % ( name, prot_, ports_range) return config_txt def cisco_delete_service (name, prot, ports): config_txt = ''' no object-group service %s''' % name return config_txt def asa_create_service (name, prot, ports): if (prot == '6'): prot_ = 'tcp' elif (prot == '17'): prot_ = 'udp' elif (prot == '1'): prot_ = 'icmp' else: prot_ = prot if 'lower-port' in ports: ports_range = 'destination range %s %s' % (ports['lower-port'], ports['upper-port']) else: ports_range = '' config_txt = ''' object-group service %s service-object %s %s''' % (name, prot_, ports_range) return config_txt def asa_delete_service (name, prot, ports): config_txt = ''' no object-group service %s''' % name return config_txt ######### service-set ########### def cisco_create_service_set (name, service): config_services = '' for service_element in service: if re.match(config_services, ''): config_services = 'group-object %s' % service_element else: config_services = config_services + '\n' + 'group-object %s' % service_element config_txt=''' object-group service %s %s''' % (name, config_services) return config_txt def cisco_delete_service_set (name, service): config_services = '' for service_element in service: if re.match(config_services, ''): config_services = 'no group-object %s' % service_element else: config_services = config_services + '\n' + 'no group-object %s' % service_element config_txt=''' no object-group service %s object-group service %s %s no object-group service %s''' % (name, name, config_services, name) return config_txt def asa_create_service_set (name, service): config_services = '' for service_element in service: if re.match(config_services, ''): config_services = 'group-object %s' % service_element else: config_services = config_services + '\n' + 'group-object %s' % service_element config_txt=''' object-group service %s %s''' % (name, config_services) return config_txt def asa_delete_service_set (name, service): config_services = '' for service_element in service: if re.match(config_services, ''): config_services = 'no group-object %s' % service_element else: config_services = config_services + '\n' + 'no group-object %s' % service_element config_txt=''' no object-group service %s object-group service %s %s no object-group service %s''' % (name, name, config_services, name) return config_txt ######### access ########### def cisco_create_access (name, source_address_set_list, destination_address_set_list, service_list, action ): config_access = '' for source_address_set_element in source_address_set_list: for destination_address_set_element in destination_address_set_list: for service_element in service_list: config_access = config_access + 'permit object-group %s object-group %s object-group %s\n' % (service_element, source_address_set_element['address-set-name'], destination_address_set_element['address-set-name']) config_txt = ''' ip access-list extended all_vlans_out %s''' % config_access return config_txt def cisco_delete_access (name, source_address_set_list, destination_address_set_list, service_list, action ): config_access = '' for source_address_set_element in source_address_set_list: for destination_address_set_element in destination_address_set_list: for service_element in service_list: config_access = config_access + 'no permit object-group %s object-group %s object-group %s\n' % (service_element, source_address_set_element['address-set-name'], destination_address_set_element['address-set-name']) config_txt = ''' ip access-list extended all_vlans_out %s''' % config_access return config_txt def zbf_create_policy (name, source_address_set_list, destination_address_set_list, service_list, action ): config_access = '' for source_address_set_element in source_address_set_list: for destination_address_set_element in destination_address_set_list: for service_element in service_list: config_access = config_access + 'permit object-group %s object-group %s object-group %s\n' % (service_element, source_address_set_element['address-set-name'], destination_address_set_element['address-set-name']) config_txt = ''' ip access-list extended vpn-to-trust %s''' % config_access return config_txt def zbf_delete_policy (name, source_address_set_list, destination_address_set_list, service_list, action ): config_access = '' for source_address_set_element in source_address_set_list: for destination_address_set_element in destination_address_set_list: for service_element in service_list: config_access = config_access + 'no permit object-group %s object-group %s object-group %s\n' % (service_element, source_address_set_element['address-set-name'], destination_address_set_element['address-set-name']) config_txt = ''' ip access-list extended vpn-to-trust %s''' % config_access return config_txt def asa_create_access (name, source_address_set_list, destination_address_set_list, service_list, action ): config_access = '' for source_address_set_element in source_address_set_list: for destination_address_set_element in destination_address_set_list: for service_element in service_list: config_access = config_access + 'access-list all_zones_out extended permit object-group %s object-group %s object-group %s\n' % (service_element, source_address_set_element['address-set-name'], destination_address_set_element['address-set-name']) config_txt = ''' %s''' % config_access return config_txt def asa_delete_access (name, source_address_set_list, destination_address_set_list, service_list, action ): config_access = '' for source_address_set_element in source_address_set_list: for destination_address_set_element in destination_address_set_list: for service_element in service_list: config_access = config_access + 'no access-list all_zones_out extended permit object-group %s object-group %s object-group %s\n' % (service_element, source_address_set_element['address-set-name'], destination_address_set_element['address-set-name']) config_txt = ''' ip access-list extended all_vlans_out %s''' % config_access return config_txt

31.736986

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11,584

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0

null

0

1

0

1

0

null

0

7

6b9479a8612c1340081b404912f6263e96e9e0f4

2,536

py

Python

tests/test_checker.py

drvinceknight/dwys

cdf34a43937d1f12d5e6705754469074aebf71d9

[ "MIT" ]

null

tests/test_checker.py

drvinceknight/dwys

cdf34a43937d1f12d5e6705754469074aebf71d9

[ "MIT" ]

3

2019-11-07T10:56:13.000Z

2019-11-07T11:46:54.000Z

tests/test_checker.py

drvinceknight/dwys

cdf34a43937d1f12d5e6705754469074aebf71d9

[ "MIT" ]

null

import pytest import dwys def test_diff_with_no_diff_python(): input_code = [ "a = 4 + 4\nb = a + 3\nprint(b)\n", "weights = [12, 15, 10]\nfor weight in weights:\n print(weight)\n", ] expected_output_code = ["11\n12\n15\n10"] diff, output_code, expected_output = dwys.diff( input_code=input_code, expected_output_code=expected_output_code, execution_command="python", ) assert expected_output_code == [output_code] def test_diff_with_diff_python(): input_code = [ "a = 4 + 4\nb = a + 3\n", "weights = [12, 15, 10]\nfor weight in weights:\n print(weight)\n", ] expected_output_code = ["12\n151\n10\n"] diff, output_code, expected = dwys.diff( input_code=input_code, expected_output_code=expected_output_code, execution_command="python", ) assert expected_output_code != [output_code] def test_diff_with_syntax_error_python(): input_code = [ "a = 4 + 4\nb = a + 3\n", "weights = (12, 15, 10]\nfor weight in weights:\n print(weight)\n", ] output_code = ["12\n151\n10\n"] with pytest.raises(AssertionError): dwys.diff( input_code=input_code, expected_output_code=output_code, execution_command="python", ) def test_diff_with_no_diff_R(): input_code = ["a <- 4 + 4\nb <- a + 3\nprint(a + b)\n"] expected_output_code = ["[1] 19"] diff, output_code, expected = dwys.diff( input_code=input_code, expected_output_code=expected_output_code, execution_command="Rscript", ) assert list(diff) == [] assert expected_output_code == [output_code] def test_diff_with_diff_R(): input_code = ["a <- 4 + 4\nb <- a + 3\nprint(a + b)\n"] expected_output_code = ["[1] 191\n"] diff, output_code, expected = dwys.diff( input_code=input_code, expected_output_code=expected_output_code, execution_command="Rscript", ) assert list(diff) == [ "--- \n", "+++ \n", "@@ -5,4 +5,2 @@\n", " 1", " 9", "-1", "-\n", ] assert expected_output_code != [output_code] def test_diff_with_syntax_error_R(): input_code = ["a <- 4 + 4\nb <- a + 3\nprint{a + b)\n"] output_code = ["[1] 19\n"] with pytest.raises(AssertionError): dwys.diff( input_code=input_code, expected_output_code=output_code, execution_command="Rscript", )

28.494382

78

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2,536

4.173134

0.146269

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0.23176

0.157368

0.934907

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0.881259

0.876967

0

0.040519

0.27011

2,536

88

79

28.818182

0.714749

0

0.506667

0

0.209385

0

0.106667

1

0.08

false

0

0.026667

0

0.106667

0.093333

0

null

1

0

1

0

null

0

8

2e1125ce4d15c55676248d7998045dbe314c788f

6,545

py

Python

loldib/getratings/models/NA/na_syndra/na_syndra_sup.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_syndra/na_syndra_sup.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_syndra/na_syndra_sup.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from getratings.models.ratings import Ratings class NA_Syndra_Sup_Aatrox(Ratings): pass class NA_Syndra_Sup_Ahri(Ratings): pass class NA_Syndra_Sup_Akali(Ratings): pass class NA_Syndra_Sup_Alistar(Ratings): pass class NA_Syndra_Sup_Amumu(Ratings): pass class NA_Syndra_Sup_Anivia(Ratings): pass class NA_Syndra_Sup_Annie(Ratings): pass class NA_Syndra_Sup_Ashe(Ratings): pass class NA_Syndra_Sup_AurelionSol(Ratings): pass class NA_Syndra_Sup_Azir(Ratings): pass class NA_Syndra_Sup_Bard(Ratings): pass class NA_Syndra_Sup_Blitzcrank(Ratings): pass class NA_Syndra_Sup_Brand(Ratings): pass class NA_Syndra_Sup_Braum(Ratings): pass class NA_Syndra_Sup_Caitlyn(Ratings): pass class NA_Syndra_Sup_Camille(Ratings): pass class NA_Syndra_Sup_Cassiopeia(Ratings): pass class NA_Syndra_Sup_Chogath(Ratings): pass class NA_Syndra_Sup_Corki(Ratings): pass class NA_Syndra_Sup_Darius(Ratings): pass class NA_Syndra_Sup_Diana(Ratings): pass class NA_Syndra_Sup_Draven(Ratings): pass class NA_Syndra_Sup_DrMundo(Ratings): pass class NA_Syndra_Sup_Ekko(Ratings): pass class NA_Syndra_Sup_Elise(Ratings): pass class NA_Syndra_Sup_Evelynn(Ratings): pass class NA_Syndra_Sup_Ezreal(Ratings): pass class NA_Syndra_Sup_Fiddlesticks(Ratings): pass class NA_Syndra_Sup_Fiora(Ratings): pass class NA_Syndra_Sup_Fizz(Ratings): pass class NA_Syndra_Sup_Galio(Ratings): pass class NA_Syndra_Sup_Gangplank(Ratings): pass class NA_Syndra_Sup_Garen(Ratings): pass class NA_Syndra_Sup_Gnar(Ratings): pass class NA_Syndra_Sup_Gragas(Ratings): pass class NA_Syndra_Sup_Graves(Ratings): pass class NA_Syndra_Sup_Hecarim(Ratings): pass class NA_Syndra_Sup_Heimerdinger(Ratings): pass class NA_Syndra_Sup_Illaoi(Ratings): pass class NA_Syndra_Sup_Irelia(Ratings): pass class NA_Syndra_Sup_Ivern(Ratings): pass class NA_Syndra_Sup_Janna(Ratings): pass class NA_Syndra_Sup_JarvanIV(Ratings): pass class NA_Syndra_Sup_Jax(Ratings): pass class NA_Syndra_Sup_Jayce(Ratings): pass class NA_Syndra_Sup_Jhin(Ratings): pass class NA_Syndra_Sup_Jinx(Ratings): pass class NA_Syndra_Sup_Kalista(Ratings): pass class NA_Syndra_Sup_Karma(Ratings): pass class NA_Syndra_Sup_Karthus(Ratings): pass class NA_Syndra_Sup_Kassadin(Ratings): pass class NA_Syndra_Sup_Katarina(Ratings): pass class NA_Syndra_Sup_Kayle(Ratings): pass class NA_Syndra_Sup_Kayn(Ratings): pass class NA_Syndra_Sup_Kennen(Ratings): pass class NA_Syndra_Sup_Khazix(Ratings): pass class NA_Syndra_Sup_Kindred(Ratings): pass class NA_Syndra_Sup_Kled(Ratings): pass class NA_Syndra_Sup_KogMaw(Ratings): pass class NA_Syndra_Sup_Leblanc(Ratings): pass class NA_Syndra_Sup_LeeSin(Ratings): pass class NA_Syndra_Sup_Leona(Ratings): pass class NA_Syndra_Sup_Lissandra(Ratings): pass class NA_Syndra_Sup_Lucian(Ratings): pass class NA_Syndra_Sup_Lulu(Ratings): pass class NA_Syndra_Sup_Lux(Ratings): pass class NA_Syndra_Sup_Malphite(Ratings): pass class NA_Syndra_Sup_Malzahar(Ratings): pass class NA_Syndra_Sup_Maokai(Ratings): pass class NA_Syndra_Sup_MasterYi(Ratings): pass class NA_Syndra_Sup_MissFortune(Ratings): pass class NA_Syndra_Sup_MonkeyKing(Ratings): pass class NA_Syndra_Sup_Mordekaiser(Ratings): pass class NA_Syndra_Sup_Morgana(Ratings): pass class NA_Syndra_Sup_Nami(Ratings): pass class NA_Syndra_Sup_Nasus(Ratings): pass class NA_Syndra_Sup_Nautilus(Ratings): pass class NA_Syndra_Sup_Nidalee(Ratings): pass class NA_Syndra_Sup_Nocturne(Ratings): pass class NA_Syndra_Sup_Nunu(Ratings): pass class NA_Syndra_Sup_Olaf(Ratings): pass class NA_Syndra_Sup_Orianna(Ratings): pass class NA_Syndra_Sup_Ornn(Ratings): pass class NA_Syndra_Sup_Pantheon(Ratings): pass class NA_Syndra_Sup_Poppy(Ratings): pass class NA_Syndra_Sup_Quinn(Ratings): pass class NA_Syndra_Sup_Rakan(Ratings): pass class NA_Syndra_Sup_Rammus(Ratings): pass class NA_Syndra_Sup_RekSai(Ratings): pass class NA_Syndra_Sup_Renekton(Ratings): pass class NA_Syndra_Sup_Rengar(Ratings): pass class NA_Syndra_Sup_Riven(Ratings): pass class NA_Syndra_Sup_Rumble(Ratings): pass class NA_Syndra_Sup_Ryze(Ratings): pass class NA_Syndra_Sup_Sejuani(Ratings): pass class NA_Syndra_Sup_Shaco(Ratings): pass class NA_Syndra_Sup_Shen(Ratings): pass class NA_Syndra_Sup_Shyvana(Ratings): pass class NA_Syndra_Sup_Singed(Ratings): pass class NA_Syndra_Sup_Sion(Ratings): pass class NA_Syndra_Sup_Sivir(Ratings): pass class NA_Syndra_Sup_Skarner(Ratings): pass class NA_Syndra_Sup_Sona(Ratings): pass class NA_Syndra_Sup_Soraka(Ratings): pass class NA_Syndra_Sup_Swain(Ratings): pass class NA_Syndra_Sup_Syndra(Ratings): pass class NA_Syndra_Sup_TahmKench(Ratings): pass class NA_Syndra_Sup_Taliyah(Ratings): pass class NA_Syndra_Sup_Talon(Ratings): pass class NA_Syndra_Sup_Taric(Ratings): pass class NA_Syndra_Sup_Teemo(Ratings): pass class NA_Syndra_Sup_Thresh(Ratings): pass class NA_Syndra_Sup_Tristana(Ratings): pass class NA_Syndra_Sup_Trundle(Ratings): pass class NA_Syndra_Sup_Tryndamere(Ratings): pass class NA_Syndra_Sup_TwistedFate(Ratings): pass class NA_Syndra_Sup_Twitch(Ratings): pass class NA_Syndra_Sup_Udyr(Ratings): pass class NA_Syndra_Sup_Urgot(Ratings): pass class NA_Syndra_Sup_Varus(Ratings): pass class NA_Syndra_Sup_Vayne(Ratings): pass class NA_Syndra_Sup_Veigar(Ratings): pass class NA_Syndra_Sup_Velkoz(Ratings): pass class NA_Syndra_Sup_Vi(Ratings): pass class NA_Syndra_Sup_Viktor(Ratings): pass class NA_Syndra_Sup_Vladimir(Ratings): pass class NA_Syndra_Sup_Volibear(Ratings): pass class NA_Syndra_Sup_Warwick(Ratings): pass class NA_Syndra_Sup_Xayah(Ratings): pass class NA_Syndra_Sup_Xerath(Ratings): pass class NA_Syndra_Sup_XinZhao(Ratings): pass class NA_Syndra_Sup_Yasuo(Ratings): pass class NA_Syndra_Sup_Yorick(Ratings): pass class NA_Syndra_Sup_Zac(Ratings): pass class NA_Syndra_Sup_Zed(Ratings): pass class NA_Syndra_Sup_Ziggs(Ratings): pass class NA_Syndra_Sup_Zilean(Ratings): pass class NA_Syndra_Sup_Zyra(Ratings): pass

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null

0

1

0

7

cf1e28fae11f00409a5d1a10dadd6da478d5b0ab

5,880

py

Python

rest_api/general.py

giusdp/pandascore-API-python

50c912ba5f4d63711bc94436a4da529becbe7311

[ "MIT" ]

1

2017-12-01T19:39:05.000Z

rest_api/general.py

giusdp/pandascore-API-python

50c912ba5f4d63711bc94436a4da529becbe7311

[ "MIT" ]

null

rest_api/general.py

giusdp/pandascore-API-python

50c912ba5f4d63711bc94436a4da529becbe7311

[ "MIT" ]

null

from rest_api.videogame import GenericCallsSet class GeneralPanda(GenericCallsSet): def __init__(self): super().__init__() # LEAGUES def get_all_leagues(self, q_sort=None, q_filter=None, q_range=None): """Return all the leagues. They can be sorted, filtered :param q_sort: a list of string with one or more of the following strings: id, image, default_serie_id, url, name, videogame_id, created_at, updated_at, slug. It sorts the response with the attributes selected, use minus (-) for a reversed sort. Sorted by id desc by default. :type q_sort: list :param q_filter: a dict to specify what to use for filtering with the keys being a string which is the field to filter and the value for each key is a list of string. :type q_filter: dict :param q_range: to be done""" return self.get_things('/leagues', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_videogame_leagues(self, videogame_id, q_sort=None, q_filter=None, q_range=None): return self.get_things('/videogames/', some_id=videogame_id, follow_up_query='/leagues', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_league(self, league_id): return self.get_things('/leagues/', some_id=league_id) # MATCHES def get_matches_in_tournament(self, tournament_id, q_sort=None, q_filter=None, q_range=None): return self.get_things('/tournaments/', some_id=tournament_id, follow_up_query='/matches', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_matches_of_team(self, team_id, q_sort=None, q_filter=None, q_range=None): return self.get_things('/teams/', some_id=team_id, follow_up_query='/matches', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_all_matches(self, q_sort=None, q_filter=None, q_range=None): return self.get_things('/matches', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_match(self, match_id): return self.get_things('/matches', some_id=match_id) # PLAYERS def get_all_players(self,q_sort=None, q_filter=None, q_range=None): return self.get_things('/players', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_players_in_match(self, match_id, q_sort=None, q_filter=None, q_range=None): return self.get_things('/matches/', some_id=match_id, follow_up_query='/players', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get__player(self, player_id): return self.get_things('/players/', some_id=player_id) # SERIES def get_all_series(self, q_sort=None, q_filter=None, q_range=None): return self.get_things('/series', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_videogame_series(self, videogame_id, q_sort=None, q_filter=None, q_range=None): return self.get_things('/videogames/', some_id=str(videogame_id), follow_up_query='/series', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_league_series(self, league_id, q_sort=None, q_filter=None, q_range=None): return self.get_things('/league/', some_id=league_id, follow_up_query='/series', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_series(self, series_id): return self.get_things('/series/', some_id=series_id) # TEAMS def get_teams_in_tournament(self, tournament_id, q_sort=None, q_filter=None, q_range=None): return self.get_things('/tournaments/', some_id=tournament_id, follow_up_query='/teams', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_teams_in_match(self, match_id, q_sort=None, q_filter=None, q_range=None): return self.get_things('/matches/', some_id=match_id, follow_up_query='/teams', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_all_teams(self, q_sort=None, q_filter=None, q_range=None): return self.get_things('/teams', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_team(self, team_id): return self.get_things('/teams/', some_id=team_id) # TOURNAMENTS def get_tournaments_in_videogames(self, videogame_id, q_sort=None, q_filter=None, q_range=None): return self.get_things('/videogames/', some_id=videogame_id, follow_up_query='/tournaments', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_tournaments_in_league(self, league_id, q_sort=None, q_filter=None, q_range=None): return self.get_things('/leagues/', some_id=league_id, follow_up_query='/tournaments', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_tournaments_in_serie(self, serie_id, q_sort=None, q_filter=None, q_range=None): return self.get_things('/series/', some_id=serie_id, follow_up_query='/tournaments', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_all_tournaments(self, q_sort=None, q_filter=None, q_range=None): return self.get_things('/tournaments', query_sort=q_sort, query_filter=q_filter, query_range=q_range) def get_tournament(self, tournament_id): return self.get_things('/tournaments/', some_id=tournament_id) # VIDEOGAMES def get_all_videogames(self, q_sort=None, q_filter=None, q_range=None): return self.rest_api.send_query('/videogames', query_sort=q_sort, query_filter=q_filter, query_range=q_range)

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0

1

0

1

0

8

cf2ec80ca94a935671070dfd15070fbbbd531bce

3,565

py

Python

dex_envs/__init__.py

huangwl18/geometry-dex

0c629316258ef560b360c6103d83d5cb828e3ccd

[ "MIT" ]

29

2021-11-11T23:05:02.000Z

2022-03-10T06:05:23.000Z

dex_envs/__init__.py

huangwl18/geometry-dex

0c629316258ef560b360c6103d83d5cb828e3ccd

[ "MIT" ]

2

2021-12-13T16:18:14.000Z

2022-03-09T14:04:37.000Z

dex_envs/__init__.py

huangwl18/geometry-dex

0c629316258ef560b360c6103d83d5cb828e3ccd

[ "MIT" ]

2

2021-11-18T06:00:30.000Z

2021-12-17T03:04:52.000Z

import os from gym.envs.registration import register OWN_PATH = os.path.dirname(os.path.abspath(__file__)) # Arguments for different versions of dex-rotate environments, used to initialize ManipulateEnv from Gym all_versions = { 'v0': {'target_position': 'ignore', 'target_rotation': 'xyz', 'reward_type': 'sparse', 'randomize_initial_position': True, 'randomize_initial_rotation': True}, 'v1': {'target_position': 'ignore', 'target_rotation': 'z', 'reward_type': 'sparse', 'randomize_initial_position': True, 'randomize_initial_rotation': True}, 'v2': {'target_position': 'ignore', 'target_rotation': 'xyz', 'reward_type': 'dense', 'randomize_initial_position': True, 'randomize_initial_rotation': True}, 'v3': {'target_position': 'ignore', 'target_rotation': 'z', 'reward_type': 'dense', 'randomize_initial_position': True, 'randomize_initial_rotation': True}, 'v4': {'target_position': 'ignore', 'target_rotation': 'xyz', 'reward_type': 'sparse', 'randomize_initial_position': False, 'randomize_initial_rotation': True}, 'v5': {'target_position': 'ignore', 'target_rotation': 'z', 'reward_type': 'sparse', 'randomize_initial_position': False, 'randomize_initial_rotation': True}, 'v6': {'target_position': 'ignore', 'target_rotation': 'xyz', 'reward_type': 'dense', 'randomize_initial_position': False, 'randomize_initial_rotation': True}, 'v7': {'target_position': 'ignore', 'target_rotation': 'z', 'reward_type': 'dense', 'randomize_initial_position': False, 'randomize_initial_rotation': True}, 'v8': {'target_position': 'ignore', 'target_rotation': 'xyz', 'reward_type': 'sparse', 'randomize_initial_position': True, 'randomize_initial_rotation': False}, 'v9': {'target_position': 'ignore', 'target_rotation': 'z', 'reward_type': 'sparse', 'randomize_initial_position': True, 'randomize_initial_rotation': False}, 'v10': {'target_position': 'ignore', 'target_rotation': 'xyz', 'reward_type': 'dense', 'randomize_initial_position': True, 'randomize_initial_rotation': False}, 'v11': {'target_position': 'ignore', 'target_rotation': 'z', 'reward_type': 'dense', 'randomize_initial_position': True, 'randomize_initial_rotation': False}, 'v12': {'target_position': 'ignore', 'target_rotation': 'xyz', 'reward_type': 'sparse', 'randomize_initial_position': False, 'randomize_initial_rotation': False}, 'v13': {'target_position': 'ignore', 'target_rotation': 'z', 'reward_type': 'sparse', 'randomize_initial_position': False, 'randomize_initial_rotation': False}, 'v14': {'target_position': 'ignore', 'target_rotation': 'xyz', 'reward_type': 'dense', 'randomize_initial_position': False, 'randomize_initial_rotation': False}, 'v15': {'target_position': 'ignore', 'target_rotation': 'z', 'reward_type': 'dense', 'randomize_initial_position': False, 'randomize_initial_rotation': False}, } version = 'v1' version_args = all_versions[version] for fname in os.listdir(os.path.join(OWN_PATH, 'assets/hand/')): if 'manipulate_' in fname and '.xml' in fname: obj_name = fname[11:-4] else: continue env_class_name = obj_name + '_env' try: env_id = '{}-rotate-{}'.format(obj_name, version) register( id=env_id, entry_point='dex_envs.dex_rotate:{}'.format(env_class_name), kwargs=version_args, max_episode_steps=100, ) except Exception as e: print('** ------ got the following error during env registration -------') print('erorr encountered when registering {}'.format(obj_name))

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1

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1

0

1

0

null

0

7

cf59f199b08ca5b585201bf0c78fe78ebf06c0b2

8,114

py

Python

VNN/experiment/learning.py

arthuraleksandrovich/vector_ann

35158b5f9741646c362ef2c069be3503186975c9

[ "MIT" ]

null

VNN/experiment/learning.py

arthuraleksandrovich/vector_ann

35158b5f9741646c362ef2c069be3503186975c9

[ "MIT" ]

null

VNN/experiment/learning.py

arthuraleksandrovich/vector_ann

35158b5f9741646c362ef2c069be3503186975c9

[ "MIT" ]

null

"""Model testing and validation""" import matplotlib.pyplot as plt import numpy as np import time def validate_model(model_generator, datasets_generator, epochs=50, loss_name="mean_squared_error", measure_name="val_mean_squared_error", \ print_summary=True): """K-fold validation of model""" loss_history_sum = np.single(0) measure_history_sum = np.single(0) elapsed_time_sum = 0 k = 0 for train_dataset, validation_dataset in datasets_generator: model = model_generator() start_time = time.perf_counter() history = model.fit( train_dataset, epochs=epochs, validation_data=validation_dataset, verbose=0, use_multiprocessing = True ) elapsed_time_sum += time.perf_counter() - start_time loss_history_sum += np.array(history.history[loss_name], dtype=np.float64) measure_history_sum += np.array(history.history[measure_name], dtype=np.float64) k += 1 loss_history_avr = loss_history_sum / k measure_history_avr = measure_history_sum / k # Visualize error x = range(1, loss_history_avr.shape[0]+1) plt.plot(x, loss_history_avr, 'b') plt.plot(x, measure_history_avr, 'r--') plt.legend(['training loss', 'validation loss']) plt.show() # Print statistics print(f'Elapsed k-fold validation time: {elapsed_time_sum:.5f} sec') if print_summary: model.summary() def validate_model_multiple(model_generator, datasets_generator_fun, epochs=50, num_tries=5, \ loss_name="mean_squared_error", measure_name="val_mean_squared_error", \ print_data=False): """K-fold validation of model in multiple tries""" loss_history_sum = np.single(0) measure_history_sum = np.single(0) measure_history_worst = None measure_history_best = None last_measure_worst = None last_measure_best = None last_measures = [] elapsed_time_sum = 0 for t in range(num_tries): measure_history_sum_single = np.single(0) k = 0 datasets_generator = datasets_generator_fun() for train_dataset, validation_dataset in datasets_generator: model = model_generator() start_time = time.perf_counter() history = model.fit( train_dataset, epochs=epochs, validation_data=validation_dataset, verbose=0, use_multiprocessing = True ) elapsed_time_sum += time.perf_counter() - start_time measure = np.array(history.history[measure_name], dtype=np.float64) best_measure = measure.min() last_measures.append(best_measure) loss_history_sum += np.array(history.history[loss_name], dtype=np.float64) measure_history_sum_single += measure k += 1 measure_history_sum += measure_history_sum_single measure_history_avr_single = measure_history_sum_single / k best_measure = measure_history_avr_single.min() if last_measure_worst is None or best_measure > last_measure_worst: last_measure_worst = best_measure measure_history_worst = measure_history_avr_single if last_measure_best is None or best_measure < last_measure_best: last_measure_best = best_measure measure_history_best = measure_history_avr_single elapsed_time_avr = elapsed_time_sum / num_tries loss_history_avr = loss_history_sum / num_tries / k measure_history_avr = measure_history_sum / num_tries / k # Visualize error x = range(1, loss_history_avr.shape[0]+1) plt.subplot(2, 1, 1) plt.plot(x, loss_history_avr, 'b') plt.plot(x, measure_history_avr, 'y--') plt.plot(x, measure_history_worst, 'r--') plt.plot(x, measure_history_best, 'g--') plt.legend(['training loss avr.', 'validation loss avg.', 'validation loss worst', 'validation loss best']) plt.subplot(2, 1, 2) plt.boxplot(last_measures) # Print statistics print(f'Average elapsed k-fold validation time: {elapsed_time_avr:.5f} sec') if print_data: print('Last measures:', last_measures) print('Loss history average:', loss_history_avr) print('Measure history average:', measure_history_avr) print('Measure history worst:', measure_history_worst) print('Measure history best:', measure_history_best) def test_model(model, train_dataset, test_dataset, epochs=50, loss_name="mean_squared_error", measure_name="val_mean_squared_error", \ print_summary=True): """Testing of model""" start_time = time.perf_counter() history = model.fit( train_dataset, epochs=epochs, validation_data=test_dataset, verbose=0, use_multiprocessing = True ) elapsed_time = time.perf_counter() - start_time loss = history.history[loss_name] measure = history.history[measure_name] # Visualize error x = range(1, len(loss)+1) plt.plot(x, loss, 'b') plt.plot(x, measure, 'r--') plt.legend(['training loss', 'testing loss']) plt.show() # Print statistics print(f'Elapsed training time: {elapsed_time:.5f} sec') if print_summary: model.summary() # Testing of model in multiple runs def test_model_multiple(model_generator, train_dataset, test_dataset, epochs=50, num_tries=10, \ loss_name="mean_squared_error", measure_name="val_mean_squared_error", \ print_data=False): """Testing of model in multiple tries""" loss_history_sum = np.single(0) measure_history_sum = np.single(0) measure_history_worst = None measure_history_best = None last_measure_worst = None last_measure_best = None last_measures = [] elapsed_time_sum = 0 for t in range(num_tries): model = model_generator() start_time = time.perf_counter() history = model.fit( train_dataset, epochs=epochs, validation_data=test_dataset, verbose=0, use_multiprocessing = True ) elapsed_time_sum += time.perf_counter() - start_time loss_history_sum += np.array(history.history[loss_name], dtype=np.float64) measure_history = np.array(history.history[measure_name], dtype=np.float64) best_measure = measure_history.min() if last_measure_worst is None or best_measure > last_measure_worst: last_measure_worst = best_measure measure_history_worst = measure_history if last_measure_best is None or best_measure < last_measure_best: last_measure_best = best_measure measure_history_best = measure_history measure_history_sum += measure_history last_measures.append(best_measure) elapsed_time_avr = elapsed_time_sum / num_tries loss_history_avr = loss_history_sum / num_tries measure_history_avr = measure_history_sum / num_tries # Visualize error x = range(1, loss_history_avr.shape[0]+1) plt.subplot(2, 1, 1) plt.plot(x, loss_history_avr, 'b') plt.plot(x, measure_history_avr, 'y--') plt.plot(x, measure_history_worst, 'r--') plt.plot(x, measure_history_best, 'g--') plt.legend(['training loss avr.', 'testing loss avg.', 'testing loss worst', 'testing loss best']) plt.subplot(2, 1, 2) plt.boxplot(last_measures) # Print statistics print(f'Average elapsed training time: {elapsed_time_avr:.5f} sec') if print_data: print('Last measures:', last_measures) print('Loss history average:', loss_history_avr) print('Measure history average:', measure_history_avr) print('Measure history worst:', measure_history_worst) print('Measure history best:', measure_history_best)

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0

null

0

1

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1

0

null

0

7

cf8115510aa9e767f689bce6d9254135740c1138

445

py

Python

challenges/shift-list/shift_list_test.py

tyler-fishbone/data-structures-and-algorithms

29790f2672d3ddb0aadf62725f28180b092f4568

[ "MIT" ]

null

challenges/shift-list/shift_list_test.py

tyler-fishbone/data-structures-and-algorithms

29790f2672d3ddb0aadf62725f28180b092f4568

[ "MIT" ]

4

2018-03-22T19:19:11.000Z

2018-04-11T00:35:26.000Z

challenges/shift-list/shift_list_test.py

tyler-fishbone/data-structures-and-algorithms

29790f2672d3ddb0aadf62725f28180b092f4568

[ "MIT" ]

null

import shift_list import pytest def test_insert_shift_list_with_valid_list_odd(): assert shift_list.insert_shift_list([1,2,3,4,5,6,7,8,9], 'X') == [1, 2, 3, 4, 'X', 5, 6, 7, 8, 9] def test_insert_shift_list_with_valid_list_even(): assert shift_list.insert_shift_list([1,2,3,4,5,6,7,8], 'X') == [1, 2, 3, 4, 'X', 5, 6, 7, 8] def test_insert_shift_list_with_valid_list_empty(): assert shift_list.insert_shift_list([], 'X') == ['X']

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102

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null

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8

d86c08ebb3c818cb0a63145b6ee50e605c1652f9

1,005

py

Python

test_fixtures/general_repo/very_long_file.py

SerejkaSJ/fiasko_bro

dfb8c30109f317c1e5b6d211e002fd148695809e

[ "MIT" ]

25

2018-01-24T10:45:35.000Z

2020-12-05T21:47:20.000Z

test_fixtures/general_repo/very_long_file.py

SerejkaSJ/fiasko_bro

dfb8c30109f317c1e5b6d211e002fd148695809e

[ "MIT" ]

110

2018-01-21T12:25:13.000Z

2021-06-10T19:27:22.000Z

test_fixtures/general_repo/very_long_file.py

SerejkaSJ/fiasko_bro

dfb8c30109f317c1e5b6d211e002fd148695809e

[ "MIT" ]

13

2017-12-12T22:19:01.000Z

2019-01-29T18:08:05.000Z

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4.975248

4

0.8

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null

1

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1

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13

d885868a7c81134d5bda828ced1d19aadcadb776

121

py

Python

kanga/stats/batch_var.py

kushagragpt99/kanga

1f2343d15965148ae7c1dea95168c31a87b27c4f

[ "MIT" ]

1

2022-02-03T08:50:35.000Z

kanga/stats/batch_var.py

kushagragpt99/kanga

1f2343d15965148ae7c1dea95168c31a87b27c4f

[ "MIT" ]

null

kanga/stats/batch_var.py

kushagragpt99/kanga

1f2343d15965148ae7c1dea95168c31a87b27c4f

[ "MIT" ]

null

import numpy as np from .batch_mean import batch_mean def batch_var(x, b): return np.var(batch_mean(x, b), ddof=1)

17.285714

43

0.719008

24

121

3.458333

0.583333

0.325301

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null

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1

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7

2b19abbf4cc5a26b4e6b67538df605cb5df6afa6

1,212

py

Python

captivity/tests/test_merge.py

maxsnijders/captivity

c3c2bde554f83e567c8e078db4e6bccda57eff8b

[ "MIT" ]

null

captivity/tests/test_merge.py

maxsnijders/captivity

c3c2bde554f83e567c8e078db4e6bccda57eff8b

[ "MIT" ]

null

captivity/tests/test_merge.py

maxsnijders/captivity

c3c2bde554f83e567c8e078db4e6bccda57eff8b

[ "MIT" ]

null

import pytest def test_merge_with_duplicate_columns(): import captivity import pandas as pd with pytest.raises(captivity.CaptivityException): pd.DataFrame({"a": [1], "b": [2]}).merge( pd.DataFrame({"a": [0, 2], "b": [3, 4]}), on="a", ) captivity.warning_mode() with pytest.warns(captivity.CaptivityWarning): pd.DataFrame({"a": [1], "b": [2]}).merge( pd.DataFrame({"a": [0, 2], "b": [3, 4]}), on=["a"], ) captivity.exception_mode() with pytest.raises(captivity.CaptivityException): pd.DataFrame({"a": [1], "b": [2]}).merge( pd.DataFrame({"a": [0, 2], "b": [3, 4]}), on="a", ) pd.DataFrame({"a": [1], "b": [2]}).merge( pd.DataFrame({"a": [0, 2], "b": [3, 4]}), on=["a", "b"], ) def test_merge_duplicate_columns_suffixes(): import captivity import pandas as pd with pytest.raises(captivity.CaptivityException): pd.DataFrame({"a": [1], "b": [2]}).merge( pd.DataFrame({"a": [0, 2], "b": [3, 4]}), on="a", ) pd.DataFrame({"a": [1], "b": [2]}).merge( pd.DataFrame({"a": [0, 2], "b": [3, 4]}), on="a", suffixes=("_x", "_y") )

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8

2b1fa7dbce8d71892d9c7b2eaae229f0ffdd3b18

16,603

py

Python

grad_tn/tensornetworks/peps/brute_force_contraction/obc.py

Jakob-Unfried/msc-legacy

2c41f3f714936c25dd534bd66da802c26176fcfa

[ "MIT" ]

1

2021-03-22T14:16:43.000Z

grad_tn/tensornetworks/peps/brute_force_contraction/obc.py

Jakob-Unfried/msc-legacy

2c41f3f714936c25dd534bd66da802c26176fcfa

[ "MIT" ]

null

grad_tn/tensornetworks/peps/brute_force_contraction/obc.py

Jakob-Unfried/msc-legacy

2c41f3f714936c25dd534bd66da802c26176fcfa

[ "MIT" ]

null

import numpy as onp import grad_tn.tensornetworks.peps.brute_force_contraction._obc_instructions as instructions from utils.jax_utils.ncon_jax import ncon def two_layers(bra_tensors, ket_tensors): lx, ly = len(bra_tensors), len(bra_tensors[0]) assert all(len(bra_tensors[x]) == ly for x in range(lx)) assert len(ket_tensors) == lx assert all(len(ket_tensors[x]) == ly for x in range(lx)) tensors = [ket_tensors[x][y] for y in range(ly) for x in range(lx)] \ + [bra_tensors[x][y] for y in range(ly) for x in range(lx)] connects, order = _get_instructions2(lx, ly) return ncon(tensors, connects, order) def three_layers(bra_tensors, op_tensors, ket_tensors): lx, ly = len(bra_tensors), len(bra_tensors[0]) assert all(len(bra_tensors[x]) == ly for x in range(lx)) assert len(op_tensors) == lx assert all(len(op_tensors[x]) == ly for x in range(lx)) assert len(ket_tensors) == lx assert all(len(ket_tensors[x]) == ly for x in range(lx)) tensors = [ket_tensors[x][y] for y in range(ly) for x in range(lx)] \ + [op_tensors[x][y] for y in range(ly) for x in range(lx)] \ + [bra_tensors[x][y] for y in range(ly) for x in range(lx)] connects, order = _get_instructions3(lx, ly) return ncon(tensors, connects, order) def _get_instructions2(lx, ly): if (lx, ly) in instructions.connects2: return instructions.connects2[lx, ly], instructions.order2[lx, ly] N = lx * ly M = 2 * N - lx - ly # 1,...,M : ket layer # M+1,...,2M : bra layer # 2M+1,...,3M+N : p legs # functions that number the bonds ( in layers ) def _d(x, y, n): if (x < 0) or (x >= lx) or (y < 0) or (y >= ly): raise RuntimeError if y == 0: return None return (1 - lx) + x + (2 * lx - 1) * y + M * n def _l(x, y, n): if (x < 0) or (x >= lx) or (y < 0) or (y >= ly): raise RuntimeError if x == 0: return None return x + (2 * lx - 1) * y + M * n def _r(x, y, n): if (x < 0) or (x >= lx) or (y < 0) or (y >= ly): raise RuntimeError if x == lx - 1: return None return 1 + x + (2 * lx - 1) * y + M * n def _u(x, y, n): if (x < 0) or (x >= lx) or (y < 0) or (y >= ly): raise RuntimeError if y == ly - 1: return None return lx + x + (2 * lx - 1) * y + M * n def _p(x, y): # leg between op and bra (p leg of op) return 2 * M + 1 + x + lx * y # tensors: [tens[l, x, y] for l in [ket, op, bra] for y in range(ly) for x in range(lx)] # = [ ket[0,0], ket[1,0], ket[2,0], ..., op[...], ..., bra[...], ...] def connects_ket_tens(x, y): if x == 0: if y == 0: # bottom left return [_p(x, y), _r(x, y, 0), _u(x, y, 0)] # (p,r,u) elif y == ly - 1: # top left return [_p(x, y), _d(x, y, 0), _r(x, y, 0)] # (p,d,r) else: # left return [_p(x, y), _d(x, y, 0), _r(x, y, 0), _u(x, y, 0)] # (p,d,r,u) elif x == lx - 1: if y == 0: # bottom right return [_p(x, y), _u(x, y, 0), _l(x, y, 0)] # (p,u,l) elif y == ly - 1: # top right return [_p(x, y), _l(x, y, 0), _d(x, y, 0)] # (p,l,d) else: # right return [_p(x, y), _u(x, y, 0), _l(x, y, 0), _d(x, y, 0)] # (p,u,l,d) else: if y == 0: # bottom return [_p(x, y), _r(x, y, 0), _u(x, y, 0), _l(x, y, 0)] # (p,r,u,l) elif y == ly - 1: # top return [_p(x, y), _l(x, y, 0), _d(x, y, 0), _r(x, y, 0)] # (p,l,d,r) else: # bulk return [_p(x, y), _u(x, y, 0), _l(x, y, 0), _d(x, y, 0), _r(x, y, 0)] # (p,u,l,d,r) def connects_bra_tens(x, y): if x == 0: if y == 0: # bottom left return [_p(x, y), _r(x, y, 1), _u(x, y, 1)] # (p,r,u) elif y == ly - 1: # top left return [_p(x, y), _d(x, y, 1), _r(x, y, 1)] # (p,d,r) else: # left return [_p(x, y), _d(x, y, 1), _r(x, y, 1), _u(x, y, 1)] # (p,d,r,u) elif x == lx - 1: if y == 0: # bottom right return [_p(x, y), _u(x, y, 1), _l(x, y, 1)] # (p,u,l) elif y == ly - 1: # top right return [_p(x, y), _l(x, y, 1), _d(x, y, 1)] # (p,l,d) else: # right return [_p(x, y), _u(x, y, 1), _l(x, y, 1), _d(x, y, 1)] # (p,u,l,d) else: if y == 0: # bottom return [_p(x, y), _r(x, y, 1), _u(x, y, 1), _l(x, y, 1)] # (p,r,u,l) elif y == ly - 1: # top return [_p(x, y), _l(x, y, 1), _d(x, y, 1), _r(x, y, 1)] # (p,l,d,r) else: # bulk return [_p(x, y), _u(x, y, 1), _l(x, y, 1), _d(x, y, 1), _r(x, y, 1)] # (p,u,l,d,r) connects = [connects_ket_tens(x, y) for y in range(ly) for x in range(lx)] \ + [connects_bra_tens(x, y) for y in range(ly) for x in range(lx)] order = [] def order_helper(x, y, *funs): # used when adding connects of the tensors at (x,y) to order # funs are all functions, e.g. _l and _r that should be appended at this time. # returns fun(x, y, n) for all fun in funs and n in range(2) as well as _p(x,y) # in optimal order res = [] res.extend([fun(x, y, 0) for fun in funs]) res.append(_p(x, y)) res.extend([fun(x, y, 1) for fun in funs]) return res # BOTTOM LEFT QUARTER # bottom row order.append(_p(0, 0)) for x in range(1, lx // 2): order.extend(order_helper(x, 0, _l)) # other rows for y in range(1, ly // 2): # x = 0 order.extend(order_helper(0, y, _d)) for x in range(1, lx // 2): order.extend(order_helper(x, y, _l, _d)) # BOTTOM RIGHT QUARTER # bottom row order.extend([_p(lx // 2, 0)]) for x in range(lx // 2 + 1, lx): order.extend(order_helper(x, 0, _l)) # other rows for y in range(1, ly // 2): # x = lx // 2 order.extend(order_helper(lx // 2, y, _d)) for x in range(lx // 2 + 1, lx): order.extend(order_helper(x, y, _l, _d)) # BOTTOM HALF order.extend([_l(lx // 2, y, n) for n in [0, 1] for y in range(ly // 2)]) # TOP LEFT QUARTER # bottom row order.extend([_p(0, ly // 2)]) for x in range(1, lx // 2): order.extend(order_helper(x, ly // 2, _l)) # other rows for y in range(ly // 2 + 1, ly): # x = 0 order.extend(order_helper(0, y, _d)) for x in range(1, lx // 2): order.extend(order_helper(x, y, _l, _d)) # THREE QUARTERS order.extend([_d(x, ly // 2, n) for n in [0, 1] for x in range(lx // 2)]) # FILL LAST QUARTER for x in range(lx // 2, lx): for y in range(ly // 2, ly): order.extend(order_helper(x, y, _l, _d)) # checks: n_layers = 2 n_labels = n_layers * (2 * lx * ly - lx - ly) + (n_layers - 1) * lx * ly connects_flat = onp.array([elem for sublist in connects for elem in sublist]) order_arr = onp.array(order) assert onp.all(0 < connects_flat) and onp.all(connects_flat <= n_labels) assert onp.all(0 < order_arr) and onp.all(order_arr <= n_labels) for n in range(1, n_labels + 1): assert onp.sum(connects_flat == n) == 2 assert onp.sum(order_arr == n) == 1 return connects, order def _get_instructions3(lx, ly): if (lx, ly) in instructions.connects3: return instructions.connects3[lx, ly], instructions.order3[lx, ly] N = lx * ly M = 2 * N - lx - ly # 1,...,M : ket layer # M+1,...,2M : op layer # 2M+2,...,3M : bra layer # 3M+1,...,3M+N : ket - op # 3M+N+1,...,3M+2N : op - bra # functions that number the bonds ( in layers ) def _d(x, y, n): if (x < 0) or (x >= lx) or (y < 0) or (y >= ly): raise RuntimeError if y == 0: return None return (1 - lx) + x + (2 * lx - 1) * y + M * n def _l(x, y, n): if (x < 0) or (x >= lx) or (y < 0) or (y >= ly): raise RuntimeError if x == 0: return None return x + (2 * lx - 1) * y + M * n def _r(x, y, n): if (x < 0) or (x >= lx) or (y < 0) or (y >= ly): raise RuntimeError if x == lx - 1: return None return 1 + x + (2 * lx - 1) * y + M * n def _u(x, y, n): if (x < 0) or (x >= lx) or (y < 0) or (y >= ly): raise RuntimeError if y == ly - 1: return None return lx + x + (2 * lx - 1) * y + M * n def _p_star(x, y): # leg between ket and op (p* leg of op) return 3 * M + 1 + x + lx * y def _p(x, y): # leg between op and bra (p leg of op) return 3 * M + N + 1 + x + lx * y # tensors: [tens[l, x, y] for l in [ket, op, bra] for y in range(ly) for x in range(lx)] # = [ ket[0,0], ket[1,0], ket[2,0], ..., op[...], ..., bra[...], ...] def connects_ket_tens(x, y): if x == 0: if y == 0: # bottom left return [_p_star(x, y), _r(x, y, 0), _u(x, y, 0)] # (p,r,u) elif y == ly - 1: # top left return [_p_star(x, y), _d(x, y, 0), _r(x, y, 0)] # (p,d,r) else: # left return [_p_star(x, y), _d(x, y, 0), _r(x, y, 0), _u(x, y, 0)] # (p,d,r,u) elif x == lx - 1: if y == 0: # bottom right return [_p_star(x, y), _u(x, y, 0), _l(x, y, 0)] # (p,u,l) elif y == ly - 1: # top right return [_p_star(x, y), _l(x, y, 0), _d(x, y, 0)] # (p,l,d) else: # right return [_p_star(x, y), _u(x, y, 0), _l(x, y, 0), _d(x, y, 0)] # (p,u,l,d) else: if y == 0: # bottom return [_p_star(x, y), _r(x, y, 0), _u(x, y, 0), _l(x, y, 0)] # (p,r,u,l) elif y == ly - 1: # top return [_p_star(x, y), _l(x, y, 0), _d(x, y, 0), _r(x, y, 0)] # (p,l,d,r) else: # bulk return [_p_star(x, y), _u(x, y, 0), _l(x, y, 0), _d(x, y, 0), _r(x, y, 0)] # (p,u,l,d,r) def connects_op_tens(x, y): if x == 0: if y == 0: # bottom left return [_p(x, y), _p_star(x, y), _r(x, y, 1), _u(x, y, 1)] # (p,p*,r,u) elif y == ly - 1: # top left return [_p(x, y), _p_star(x, y), _d(x, y, 1), _r(x, y, 1)] # (p,p*,d,r) else: # left return [_p(x, y), _p_star(x, y), _d(x, y, 1), _r(x, y, 1), _u(x, y, 1)] # (p,p*,d,r,u) elif x == lx - 1: if y == 0: # bottom right return [_p(x, y), _p_star(x, y), _u(x, y, 1), _l(x, y, 1)] # (p,p*,u,l) elif y == ly - 1: # top right return [_p(x, y), _p_star(x, y), _l(x, y, 1), _d(x, y, 1)] # (p,p*,l,d) else: # right return [_p(x, y), _p_star(x, y), _u(x, y, 1), _l(x, y, 1), _d(x, y, 1)] # (p,p*,u,l,d) else: if y == 0: # bottom return [_p(x, y), _p_star(x, y), _r(x, y, 1), _u(x, y, 1), _l(x, y, 1)] # (p,p*,r,u,l) elif y == ly - 1: # top return [_p(x, y), _p_star(x, y), _l(x, y, 1), _d(x, y, 1), _r(x, y, 1)] # (p,p*,l,d,r) else: # bulk return [_p(x, y), _p_star(x, y), _u(x, y, 1), _l(x, y, 1), _d(x, y, 1), _r(x, y, 1)] # (p,p*,u,l,d,r) def connects_bra_tens(x, y): if x == 0: if y == 0: # bottom left return [_p(x, y), _r(x, y, 2), _u(x, y, 2)] # (p,r,u) elif y == ly - 1: # top left return [_p(x, y), _d(x, y, 2), _r(x, y, 2)] # (p,d,r) else: # left return [_p(x, y), _d(x, y, 2), _r(x, y, 2), _u(x, y, 2)] # (p,d,r,u) elif x == lx - 1: if y == 0: # bottom right return [_p(x, y), _u(x, y, 2), _l(x, y, 2)] # (p,u,l) elif y == ly - 1: # top right return [_p(x, y), _l(x, y, 2), _d(x, y, 2)] # (p,l,d) else: # right return [_p(x, y), _u(x, y, 2), _l(x, y, 2), _d(x, y, 2)] # (p,u,l,d) else: if y == 0: # bottom return [_p(x, y), _r(x, y, 2), _u(x, y, 2), _l(x, y, 2)] # (p,r,u,l) elif y == ly - 1: # top return [_p(x, y), _l(x, y, 2), _d(x, y, 2), _r(x, y, 2)] # (p,l,d,r) else: # bulk return [_p(x, y), _u(x, y, 2), _l(x, y, 2), _d(x, y, 2), _r(x, y, 2)] # (p,u,l,d,r) connects = [connects_ket_tens(x, y) for y in range(ly) for x in range(lx)] \ + [connects_op_tens(x, y) for y in range(ly) for x in range(lx)] \ + [connects_bra_tens(x, y) for y in range(ly) for x in range(lx)] order = [] def order_helper(x, y, *funs): # used when adding connects of the tensors at (x,y) to order # funs are all functions, e.g. _l and _r that should be appended at this time. # returns fun(x, y, n) for all fun in funs and n in range(3) as well as _p(x,y) and _p_star(x,y) # in optimal order res = [] res.extend([fun(x, y, 0) for fun in funs]) res.append(_p_star(x, y)) res.extend([fun(x, y, 1) for fun in funs]) res.append(_p(x, y)) res.extend([fun(x, y, 2) for fun in funs]) return res # BOTTOM LEFT QUARTER # bottom row order.extend([_p(0, 0), _p_star(0, 0)]) for x in range(1, lx // 2): order.extend(order_helper(x, 0, _l)) # other rows for y in range(1, ly // 2): # x = 0 order.extend(order_helper(0, y, _d)) for x in range(1, lx // 2): order.extend(order_helper(x, y, _l, _d)) # BOTTOM RIGHT QUARTER # bottom row order.extend([_p(lx // 2, 0), _p_star(lx // 2, 0)]) for x in range(lx // 2 + 1, lx): order.extend(order_helper(x, 0, _l)) # other rows for y in range(1, ly // 2): # x = lx // 2 order.extend(order_helper(lx // 2, y, _d)) for x in range(lx // 2 + 1, lx): order.extend(order_helper(x, y, _l, _d)) # BOTTOM HALF (connect previous quarters) order.extend([_l(lx // 2, y, n) for n in range(3) for y in range(ly // 2)]) # TOP LEFT QUARTER # bottom row order.extend([_p(0, ly // 2), _p_star(0, ly // 2)]) for x in range(1, lx // 2): order.extend(order_helper(x, ly // 2, _l)) # other rows for y in range(ly // 2 + 1, ly): # x = 0 order.extend(order_helper(0, y, _d)) for x in range(1, lx // 2): order.extend(order_helper(x, y, _l, _d)) # THREE QUARTERS order.extend([_d(x, ly // 2, n) for n in range(3) for x in range(lx // 2)]) # FILL LAST QUARTER for x in range(lx // 2, lx): for y in range(ly // 2, ly): order.extend(order_helper(x, y, _l, _d)) # checks: n_layers = 3 n_labels = n_layers * (2 * lx * ly - lx - ly) + (n_layers - 1) * lx * ly connects_flat = onp.array([elem for sublist in connects for elem in sublist]) order_arr = onp.array(order) assert onp.all(0 < connects_flat) and onp.all(connects_flat <= n_labels) assert onp.all(0 < order_arr) and onp.all(order_arr <= n_labels) for n in range(1, n_labels + 1): assert onp.sum(connects_flat == n) == 2 assert onp.sum(order_arr == n) == 1 return connects, order if __name__ == '__main__': # only used to generate _obc_instructions and hard-code them l_range = range(3, 11) print('connects3') for _lx in l_range: for _ly in l_range: _connects, _order = _get_instructions3(_lx, _ly) print(f'{_lx, _ly}: {_connects},') print('order3') for _lx in l_range: for _ly in l_range: _connects, _order = _get_instructions3(_lx, _ly) print(f'{_lx, _ly}: {_order},') print('connects2') for _lx in l_range: for _ly in l_range: _connects, _order = _get_instructions2(_lx, _ly) print(f'{_lx, _ly}: {_connects},') print('order2') for _lx in l_range: for _ly in l_range: _connects, _order = _get_instructions2(_lx, _ly) print(f'{_lx, _ly}: {_order},')

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null

0

1

0

1

0

null

0

7

2b3dd39f1163cd7d91d3dcecc75d4fd5fe52c9c3

103

py

Python

pyball/constants.py

SebastianDang/PyBall

d1965aa01477b5ee0db9c0463ec584a7e3997395

[ "MIT" ]

null

pyball/constants.py

SebastianDang/PyBall

d1965aa01477b5ee0db9c0463ec584a7e3997395

[ "MIT" ]

null

pyball/constants.py

SebastianDang/PyBall

d1965aa01477b5ee0db9c0463ec584a7e3997395

[ "MIT" ]

null

BASE_URL = "http://statsapi.mlb.com/api/v1/" CURRENT_VERSION_URL = "http://statsapi.mlb.com/api/v1.1/"

34.333333

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0.718447

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0.422535

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0.732394

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1

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false

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1

0

1

0

null

0

7

2b6950773d069040200276ce9bf896f37ed052e9

6,563

py

Python

nulspy/trxs/contract.py

xiangxn/nulspy

df2323bcb6fb76b16e236a5c2331a1a74ee99908

[ "MIT" ]

2

2020-03-16T06:00:55.000Z

2020-03-16T21:09:03.000Z

nulspy/trxs/contract.py

xiangxn/nulspy

df2323bcb6fb76b16e236a5c2331a1a74ee99908

[ "MIT" ]

null

nulspy/trxs/contract.py

xiangxn/nulspy

df2323bcb6fb76b16e236a5c2331a1a74ee99908

[ "MIT" ]

null

from nulspy.coder import Coder from .register import register_tx_type from nulspy.base_data import BaseNulsData from nulspy.define import Define from nulspy.address import Address from nulspy.trxs.base import BaseModuleData import struct import logging LOGGER = logging.getLogger('contract_module') class CreateContractData(BaseModuleData): @classmethod async def fromBuffer(cls, buffer, cursor=0): md = dict() md['result'] = None # This should be populated elsewhere md['sender'] = buffer[cursor:cursor + Define.ADDRESS_LENGTH] cursor += Define.ADDRESS_LENGTH md['sender'] = Address.addressFromHash(md['sender']) md['contractAddress'] = buffer[cursor:cursor + Define.ADDRESS_LENGTH] cursor += Define.ADDRESS_LENGTH md['contractAddress'] = Address.addressFromHash(md['contractAddress']) md['value'] = struct.unpack("q", buffer[cursor:cursor + 8])[0] cursor += 8 md['codeLen'] = struct.unpack("I", buffer[cursor:cursor + 4])[0] cursor += 4 pos, md['code'] = Coder.readByLength(buffer, cursor=cursor) cursor += pos md['code'] = md['code'].hex() md['gasLimit'] = struct.unpack("q", buffer[cursor:cursor + 8])[0] cursor += 8 md['price'] = struct.unpack("q", buffer[cursor:cursor + 8])[0] cursor += 8 argslen = int(buffer[cursor]) cursor += 1 args = [] for i in range(argslen): arglen = int(buffer[cursor]) cursor += 1 arg = [] for j in range(arglen): pos, argcontent = Coder.readByLength(buffer, cursor=cursor) cursor += pos try: argcontent = argcontent.decode('utf-8') except UnicodeDecodeError: LOGGER.warning("Unicode decode error here, passing raw value.") arg.append(argcontent) args.append(arg) md['args'] = args return cursor, md @classmethod async def toBuffer(cls, md): output = Address.hashFromAddress(md['sender']) output += Address.hashFromAddress(md['contractAddress']) output += struct.pack("q", md['value']) output += struct.pack("I", md['codeLen']) output += Coder.writeWithLength(unhexlify(md['code'])) output += struct.pack("q", md['gasLimit']) output += struct.pack("q", md['price']) output += bytes([len(md['args'])]) for arg in md['args']: output += bytes([len(arg)]) for argitem in arg: try: argitem = argitem.encode('utf-8') except UnicodeEncodeError: LOGGER.warning("Unicode encode error here, passing raw value.") output += Coder.writeWithLength(argitem) return output register_tx_type(15, CreateContractData) class CallContractData(BaseModuleData): @classmethod async def fromBuffer(cls, buffer, cursor=0): md = dict() md['result'] = None # This should be populated elsewhere md['sender'] = buffer[cursor:cursor + Define.ADDRESS_LENGTH] cursor += Define.ADDRESS_LENGTH md['sender'] = Address.addressFromHash(md['sender']) md['contractAddress'] = buffer[cursor:cursor + Define.ADDRESS_LENGTH] cursor += Define.ADDRESS_LENGTH md['contractAddress'] = Address.addressFromHash(md['contractAddress']) # TODO: change value to 256bit bigint md['value'] = struct.unpack("q", buffer[cursor:cursor + 8])[0] cursor += 8 md['gasLimit'] = struct.unpack("q", buffer[cursor:cursor + 8])[0] cursor += 8 md['price'] = struct.unpack("q", buffer[cursor:cursor + 8])[0] cursor += 8 pos, md['methodName'] = Coder.readByLength(buffer, cursor=cursor) md['methodName'] = md['methodName'].decode('utf-8') cursor += pos pos, md['methodDesc'] = Coder.readByLength(buffer, cursor=cursor) md['methodDesc'] = md['methodDesc'].decode('utf-8') cursor += pos argslen = int(buffer[cursor]) cursor += 1 args = [] for i in range(argslen): arglen = int(buffer[cursor]) cursor += 1 arg = [] for j in range(arglen): pos, argcontent = Coder.readByLength(buffer, cursor=cursor) cursor += pos try: argcontent = argcontent.decode('utf-8') except UnicodeDecodeError: LOGGER.warning("Unicode decode error here, passing raw value.") arg.append(argcontent) args.append(arg) md['args'] = args return cursor, md @classmethod async def toBuffer(cls, md): output = Address.hashFromAddress(md['sender']) output += Address.hashFromAddress(md['contractAddress']) output += md['value'].to_bytes(32, 'little') output += struct.pack("Q", md['gasLimit']) output += struct.pack("Q", md['price']) output += Coder.writeWithLength(md['methodName'].encode('utf-8')) output += Coder.writeWithLength(md['methodDesc'].encode('utf-8')) output += bytes([len(md['args'])]) for arg in md['args']: output += bytes([len(arg)]) for argitem in arg: try: argitem = argitem.encode('utf-8') except UnicodeEncodeError: LOGGER.warning("Unicode encode error here, passing raw value.") output += Coder.writeWithLength(argitem) return output register_tx_type(16, CallContractData) class DeleteContractData(BaseModuleData): @classmethod async def fromBuffer(cls, buffer, cursor=0): md = dict() md['result'] = None # This should be populated elsewhere md['sender'] = buffer[cursor:cursor + Define.ADDRESS_LENGTH] cursor += Define.ADDRESS_LENGTH md['sender'] = Address.addressFromHash(md['sender']) md['contractAddress'] = buffer[cursor:cursor + Define.ADDRESS_LENGTH] cursor += Define.ADDRESS_LENGTH md['contractAddress'] = Address.addressFromHash(md['contractAddress']) return cursor, md @classmethod async def toBuffer(cls, md): output = Address.hashFromAddress(md['sender']) output += Address.hashFromAddress(md['contractAddress']) return output register_tx_type(17, DeleteContractData)

36.664804

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691

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0.078288

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0.078288

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0

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6,563

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0

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0

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0

null

0

1

0

1

0

null

0

7

99a8f3cfb368522b098b2079313bf23640f75f37

16,744

py

Python

boa3_test/tests/compiler_tests/test_relational.py

DanPopa46/neo3-boa

e4ef340744b5bd25ade26f847eac50789b97f3e9

[ "Apache-2.0" ]

null

boa3_test/tests/compiler_tests/test_relational.py

DanPopa46/neo3-boa

e4ef340744b5bd25ade26f847eac50789b97f3e9

[ "Apache-2.0" ]

null

boa3_test/tests/compiler_tests/test_relational.py

DanPopa46/neo3-boa

e4ef340744b5bd25ade26f847eac50789b97f3e9

[ "Apache-2.0" ]

null

from boa3.boa3 import Boa3 from boa3.exception.CompilerError import MismatchedTypes, NotSupportedOperation from boa3.neo.vm.opcode.Opcode import Opcode from boa3.neo.vm.type.Integer import Integer from boa3_test.tests.boa_test import BoaTest from boa3_test.tests.test_classes.TestExecutionException import TestExecutionException from boa3_test.tests.test_classes.testengine import TestEngine class TestRelational(BoaTest): default_folder: str = 'test_sc/relational_test' def test_number_equality_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.NUMEQUAL + Opcode.RET ) path = self.get_contract_path('NumEquality.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 1, 2) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', 2, 2) self.assertEqual(True, result) def test_number_inequality_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.NUMNOTEQUAL + Opcode.RET ) path = self.get_contract_path('NumInequality.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 1, 2) self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', 2, 2) self.assertEqual(False, result) def test_number_inequality_operation_2(self): path = self.get_contract_path('NumInequalityPython2.py') with self.assertRaises(SyntaxError): output = Boa3.compile(path) def test_number_less_than_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.LT + Opcode.RET ) path = self.get_contract_path('NumLessThan.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 1, 2) self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', 2, 2) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', 2, 1) self.assertEqual(False, result) def test_number_less_or_equal_than_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.LE + Opcode.RET ) path = self.get_contract_path('NumLessOrEqual.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 1, 2) self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', 2, 2) self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', 2, 1) self.assertEqual(False, result) def test_number_greater_than_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.GT + Opcode.RET ) path = self.get_contract_path('NumGreaterThan.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 1, 2) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', 2, 2) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', 2, 1) self.assertEqual(True, result) def test_number_greater_or_equal_than_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.GE + Opcode.RET ) path = self.get_contract_path('NumGreaterOrEqual.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 1, 2) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', 2, 2) self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', 2, 1) self.assertEqual(True, result) def test_identity_operation(self): path = self.get_contract_path('NumIdentity.py') self.assertCompilerLogs(NotSupportedOperation, path) def test_boolean_equality_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.NUMEQUAL + Opcode.RET ) path = self.get_contract_path('BoolEquality.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', True, False) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', True, True) self.assertEqual(True, result) def test_boolean_inequality_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.NUMNOTEQUAL + Opcode.RET ) path = self.get_contract_path('BoolInequality.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', True, False) self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', True, True) self.assertEqual(False, result) def test_multiple_comparisons(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x03' + Opcode.LDARG1 + Opcode.LDARG0 + Opcode.LE + Opcode.LDARG0 + Opcode.LDARG2 + Opcode.LE + Opcode.BOOLAND + Opcode.RET ) path = self.get_contract_path('NumRange.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 1, 2, 5) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', 2, 1, 5) self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', 5, 1, 2) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', 2, 5, 1) self.assertEqual(False, result) def test_string_equality_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.EQUAL + Opcode.RET ) path = self.get_contract_path('StrEquality.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 'unit', 'test') self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', 'unit', 'unit') self.assertEqual(True, result) def test_string_inequality_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.NOTEQUAL + Opcode.RET ) path = self.get_contract_path('StrInequality.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 'unit', 'test') self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', 'unit', 'unit') self.assertEqual(False, result) def test_string_less_than_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.LT + Opcode.RET ) path = self.get_contract_path('StrLessThan.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 'test', 'unit') self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', 'unit', 'unit') self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', 'unit', 'test') self.assertEqual(True, result) def test_string_less_or_equal_than_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.LE + Opcode.RET ) path = self.get_contract_path('StrLessOrEqual.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 'test', 'unit') self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', 'unit', 'unit') self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', 'unit', 'test') self.assertEqual(True, result) def test_string_greater_than_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.GT + Opcode.RET ) path = self.get_contract_path('StrGreaterThan.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 'test', 'unit') self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', 'unit', 'unit') self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', 'unit', 'test') self.assertEqual(False, result) def test_string_greater_or_equal_than_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.GE + Opcode.RET ) path = self.get_contract_path('StrGreaterOrEqual.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 'test', 'unit') self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', 'unit', 'unit') self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', 'unit', 'test') self.assertEqual(False, result) def test_mixed_equality_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.EQUAL + Opcode.RET ) path = self.get_contract_path('MixedEquality.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 1, 'unit') self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', 123, '123') self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'Main', Integer.from_bytes(b'123'), '123') self.assertEqual(False, result) def test_mixed_inequality_operation(self): expected_output = ( Opcode.INITSLOT + b'\x00' + b'\x02' + Opcode.LDARG0 + Opcode.LDARG1 + Opcode.NOTEQUAL + Opcode.RET ) path = self.get_contract_path('MixedInequality.py') output = Boa3.compile(path) self.assertEqual(expected_output, output) engine = TestEngine() result = self.run_smart_contract(engine, path, 'Main', 1, 'unit') self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', 123, '123') self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'Main', Integer.from_bytes(b'123'), '123') self.assertEqual(True, result) def test_mixed_less_than_operation(self): path = self.get_contract_path('MixedLessThan.py') self.assertCompilerLogs(MismatchedTypes, path) def test_mixed_less_or_equal_than_operation(self): path = self.get_contract_path('MixedLessOrEqual.py') self.assertCompilerLogs(MismatchedTypes, path) def test_mixed_greater_than_operation(self): path = self.get_contract_path('MixedGreaterThan.py') self.assertCompilerLogs(MismatchedTypes, path) def test_mixed_greater_or_equal_than_operation(self): path = self.get_contract_path('MixedGreaterOrEqual.py') self.assertCompilerLogs(MismatchedTypes, path) def test_list_equality_with_slice(self): path = self.get_contract_path('ListEqualityWithSlice.py') engine = TestEngine() result = self.run_smart_contract(engine, path, 'main', ['unittest', '123'], 'unittest', expected_result_type=bool) self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'main', ['unittest', '123'], '123', expected_result_type=bool) self.assertEqual(False, result) with self.assertRaises(TestExecutionException): self.run_smart_contract(engine, path, 'main', [], '') def test_compare_same_value_hard_coded(self): path = self.get_contract_path('CompareSameValueHardCoded.py') Boa3.compile_and_save(path) engine = TestEngine() result = self.run_smart_contract(engine, path, 'testing_something', expected_result_type=bool) self.assertEqual(True, result) def test_compare_same_value_argument(self): path = self.get_contract_path('CompareSameValueArgument.py') Boa3.compile_and_save(path) engine = TestEngine() result = self.run_smart_contract(engine, path, 'testing_something', bytes(20), expected_result_type=bool) self.assertEqual(True, result) def test_boa2_equality_test2(self): path = self.get_contract_path('Equality2Boa2Test.py') engine = TestEngine() result = self.run_smart_contract(engine, path, 'main', 1) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'main', 2) self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'main', 3) self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'main', 4) self.assertEqual(True, result) result = self.run_smart_contract(engine, path, 'main', 5) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'main', 6) self.assertEqual(False, result) result = self.run_smart_contract(engine, path, 'main', 7) self.assertEqual(False, result)

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7

510bda90e0d53dcb3c958abd36404a8f5fdfff37

191

py

Python

management/Events/admin.py

imbiswas/student-management-system

4ef9a4a77848929cdf427bf0cb5f4aa93a9bc518

[ "MIT" ]

null

management/Events/admin.py

imbiswas/student-management-system

4ef9a4a77848929cdf427bf0cb5f4aa93a9bc518

[ "MIT" ]

null

management/Events/admin.py

imbiswas/student-management-system

4ef9a4a77848929cdf427bf0cb5f4aa93a9bc518

[ "MIT" ]

null

from __future__ import unicode_literals from django.contrib import admin from Events.models import * # Register your models here. admin.site.register(Event_Type) admin.site.register(Event)

21.222222

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7

51466db620ff4736dd4c897ad57c4694bedeb417

13,660

py

Python

tests/test_observable/test_map.py

christiansandberg/RxPY

036027d2858ea6c9d45839c863bd791e5bb50c36

[ "MIT" ]

null

tests/test_observable/test_map.py

christiansandberg/RxPY

036027d2858ea6c9d45839c863bd791e5bb50c36

[ "MIT" ]

null

tests/test_observable/test_map.py

christiansandberg/RxPY

036027d2858ea6c9d45839c863bd791e5bb50c36

[ "MIT" ]

null

import unittest from reactivex import create, empty, return_value, throw from reactivex.disposable import SerialDisposable from reactivex.operators import map, map_indexed from reactivex.testing import ReactiveTest, TestScheduler on_next = ReactiveTest.on_next on_completed = ReactiveTest.on_completed on_error = ReactiveTest.on_error subscribe = ReactiveTest.subscribe subscribed = ReactiveTest.subscribed disposed = ReactiveTest.disposed created = ReactiveTest.created class RxException(Exception): pass # Helper function for raising exceptions within lambdas def _raise(ex): raise RxException(ex) class TestSelect(unittest.TestCase): def test_map_throws(self): mapper = map(lambda x: x) with self.assertRaises(RxException): return_value(1).pipe(mapper).subscribe(lambda x: _raise("ex")) with self.assertRaises(RxException): throw("ex").pipe(mapper).subscribe(on_error=lambda ex: _raise(ex)) with self.assertRaises(RxException): empty().pipe(mapper).subscribe( lambda x: x, lambda ex: ex, lambda: _raise("ex") ) def subscribe(observer, scheduler=None): _raise("ex") with self.assertRaises(RxException): create(subscribe).pipe(map(lambda x: x)).subscribe() def test_map_disposeinsidemapper(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next(100, 1), on_next(200, 2), on_next(500, 3), on_next(600, 4) ) results = scheduler.create_observer() d = SerialDisposable() invoked = [0] def projection(x, *args, **kw): invoked[0] += 1 if scheduler.clock > 400: d.dispose() return x d.disposable = xs.pipe(map(projection)).subscribe(results, scheduler) def action(scheduler, state): return d.dispose() scheduler.schedule_absolute(ReactiveTest.disposed, action) scheduler.start() assert results.messages == [on_next(100, 1), on_next(200, 2)] assert xs.subscriptions == [ReactiveTest.subscribe(0, 500)] assert invoked[0] == 3 def test_map_completed(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next(180, 1), on_next(210, 2), on_next(240, 3), on_next(290, 4), on_next(350, 5), on_completed(400), on_next(410, -1), on_completed(420), on_error(430, "ex"), ) invoked = [0] def factory(): def projection(x): invoked[0] += 1 return x + 1 return xs.pipe(map(projection)) results = scheduler.start(factory) assert results.messages == [ on_next(210, 3), on_next(240, 4), on_next(290, 5), on_next(350, 6), on_completed(400), ] assert xs.subscriptions == [ReactiveTest.subscribe(200, 400)] assert invoked[0] == 4 def test_map_default_mapper(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next(180, 1), on_next(210, 2), on_next(240, 3), on_next(290, 4), on_next(350, 5), on_completed(400), on_next(410, -1), on_completed(420), on_error(430, "ex"), ) def factory(): return xs.pipe(map()) results = scheduler.start(factory) assert results.messages == [ on_next(210, 2), on_next(240, 3), on_next(290, 4), on_next(350, 5), on_completed(400), ] assert xs.subscriptions == [ReactiveTest.subscribe(200, 400)] def test_map_completed_two(self): for i in range(100): scheduler = TestScheduler() invoked = [0] xs = scheduler.create_hot_observable( on_next(180, 1), on_next(210, 2), on_next(240, 3), on_next(290, 4), on_next(350, 5), on_completed(400), on_next(410, -1), on_completed(420), on_error(430, "ex"), ) def factory(): def projection(x): invoked[0] += 1 return x + 1 return xs.pipe(map(projection)) results = scheduler.start(factory) assert results.messages == [ on_next(210, 3), on_next(240, 4), on_next(290, 5), on_next(350, 6), on_completed(400), ] assert xs.subscriptions == [subscribe(200, 400)] assert invoked[0] == 4 def test_map_not_completed(self): scheduler = TestScheduler() invoked = [0] xs = scheduler.create_hot_observable( on_next(180, 1), on_next(210, 2), on_next(240, 3), on_next(290, 4), on_next(350, 5), ) def factory(): def projection(x): invoked[0] += 1 return x + 1 return xs.pipe(map(projection)) results = scheduler.start(factory) assert results.messages == [ on_next(210, 3), on_next(240, 4), on_next(290, 5), on_next(350, 6), ] assert xs.subscriptions == [subscribe(200, 1000)] assert invoked[0] == 4 def test_map_error(self): scheduler = TestScheduler() ex = "ex" invoked = [0] xs = scheduler.create_hot_observable( on_next(180, 1), on_next(210, 2), on_next(240, 3), on_next(290, 4), on_next(350, 5), on_error(400, ex), on_next(410, -1), on_completed(420), on_error(430, "ex"), ) def factory(): def projection(x): invoked[0] += 1 return x + 1 return xs.pipe(map(projection)) results = scheduler.start(factory) assert results.messages == [ on_next(210, 3), on_next(240, 4), on_next(290, 5), on_next(350, 6), on_error(400, ex), ] assert xs.subscriptions == [subscribe(200, 400)] assert invoked[0] == 4 def test_map_mapper_throws(self): scheduler = TestScheduler() invoked = [0] ex = "ex" xs = scheduler.create_hot_observable( on_next(180, 1), on_next(210, 2), on_next(240, 3), on_next(290, 4), on_next(350, 5), on_completed(400), on_next(410, -1), on_completed(420), on_error(430, "ex"), ) def factory(): def projection(x): invoked[0] += 1 if invoked[0] == 3: raise Exception(ex) return x + 1 return xs.pipe(map(projection)) results = scheduler.start(factory) assert results.messages == [on_next(210, 3), on_next(240, 4), on_error(290, ex)] assert xs.subscriptions == [subscribe(200, 290)] assert invoked[0] == 3 def test_map_with_index_throws(self): with self.assertRaises(RxException): mapper = map_indexed(lambda x, index: x) return return_value(1).pipe(mapper).subscribe(lambda x: _raise("ex")) with self.assertRaises(RxException): return ( throw("ex").pipe(mapper).subscribe(lambda x: x, lambda ex: _raise(ex)) ) with self.assertRaises(RxException): return ( empty() .pipe(mapper) .subscribe(lambda x: x, lambda ex: None, lambda: _raise("ex")) ) with self.assertRaises(RxException): return create(lambda o, s: _raise("ex")).pipe(mapper).subscribe() def test_map_with_index_dispose_inside_mapper(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next(100, 4), on_next(200, 3), on_next(500, 2), on_next(600, 1) ) invoked = [0] results = scheduler.create_observer() d = SerialDisposable() def projection(x, index): invoked[0] += 1 if scheduler.clock > 400: d.dispose() return x + index * 10 d.disposable = xs.pipe(map_indexed(projection)).subscribe(results) def action(scheduler, state): return d.dispose() scheduler.schedule_absolute(disposed, action) scheduler.start() assert results.messages == [on_next(100, 4), on_next(200, 13)] assert xs.subscriptions == [subscribe(0, 500)] assert invoked[0] == 3 def test_map_with_index_completed(self): scheduler = TestScheduler() invoked = [0] xs = scheduler.create_hot_observable( on_next(180, 5), on_next(210, 4), on_next(240, 3), on_next(290, 2), on_next(350, 1), on_completed(400), on_next(410, -1), on_completed(420), on_error(430, "ex"), ) def factory(): def projection(x, index): invoked[0] += 1 return (x + 1) + (index * 10) return xs.pipe(map_indexed(projection)) results = scheduler.start(factory) assert results.messages == [ on_next(210, 5), on_next(240, 14), on_next(290, 23), on_next(350, 32), on_completed(400), ] assert xs.subscriptions == [subscribe(200, 400)] assert invoked[0] == 4 def test_map_with_index_default_mapper(self): scheduler = TestScheduler() xs = scheduler.create_hot_observable( on_next(180, 5), on_next(210, 4), on_next(240, 3), on_next(290, 2), on_next(350, 1), on_completed(400), on_next(410, -1), on_completed(420), on_error(430, "ex"), ) def factory(): return xs.pipe(map_indexed()) results = scheduler.start(factory) assert results.messages == [ on_next(210, 4), on_next(240, 3), on_next(290, 2), on_next(350, 1), on_completed(400), ] assert xs.subscriptions == [subscribe(200, 400)] def test_map_with_index_not_completed(self): scheduler = TestScheduler() invoked = [0] xs = scheduler.create_hot_observable( on_next(180, 5), on_next(210, 4), on_next(240, 3), on_next(290, 2), on_next(350, 1), ) def factory(): def projection(x, index): invoked[0] += 1 return (x + 1) + (index * 10) return xs.pipe(map_indexed(projection)) results = scheduler.start(factory) assert results.messages == [ on_next(210, 5), on_next(240, 14), on_next(290, 23), on_next(350, 32), ] assert xs.subscriptions == [subscribe(200, 1000)] assert invoked[0] == 4 def test_map_with_index_error(self): scheduler = TestScheduler() ex = "ex" invoked = [0] xs = scheduler.create_hot_observable( on_next(180, 5), on_next(210, 4), on_next(240, 3), on_next(290, 2), on_next(350, 1), on_error(400, ex), on_next(410, -1), on_completed(420), on_error(430, "ex"), ) def factory(): def projection(x, index): invoked[0] += 1 return (x + 1) + (index * 10) return xs.pipe(map_indexed(projection)) results = scheduler.start(factory) assert results.messages == [ on_next(210, 5), on_next(240, 14), on_next(290, 23), on_next(350, 32), on_error(400, ex), ] assert xs.subscriptions == [subscribe(200, 400)] assert invoked[0] == 4 def test_map_with_index_mapper_throws(self): scheduler = TestScheduler() invoked = [0] ex = "ex" xs = scheduler.create_hot_observable( on_next(180, 5), on_next(210, 4), on_next(240, 3), on_next(290, 2), on_next(350, 1), on_completed(400), on_next(410, -1), on_completed(420), on_error(430, "ex"), ) def factory(): def projection(x, index): invoked[0] += 1 if invoked[0] == 3: raise Exception(ex) return (x + 1) + (index * 10) return xs.pipe(map_indexed(projection)) results = scheduler.start(factory) assert results.messages == [ on_next(210, 5), on_next(240, 14), on_error(290, ex), ] assert xs.subscriptions == [subscribe(200, 290)] assert invoked[0] == 3 if __name__ == "__main__": unittest.main()

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null

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1

0

null

0

7

5aa4824098d3637fe5e3f5da5919a6352d54314e

21,621

py

Python

forms/migrations/0035_auto_20200114_1330.py

CodeForAfrica/gmmp

d7ffe2dac16bd57e81bb3555ddea9df1fe7e9ebf

[ "Apache-2.0" ]

4

2020-01-05T09:14:19.000Z

2022-02-17T03:22:09.000Z

forms/migrations/0035_auto_20200114_1330.py

CodeForAfrica/gmmp

d7ffe2dac16bd57e81bb3555ddea9df1fe7e9ebf

[ "Apache-2.0" ]

68

2019-12-23T02:19:55.000Z

2021-04-23T06:13:36.000Z

forms/migrations/0035_auto_20200114_1330.py

CodeForAfrica/gmmp

d7ffe2dac16bd57e81bb3555ddea9df1fe7e9ebf

[ "Apache-2.0" ]

2

2020-11-07T12:23:21.000Z

2021-11-07T18:21:31.000Z

# Generated by Django 2.2.9 on 2020-01-14 13:30 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('forms', '0034_auto_20191218_1356'), ] operations = [ migrations.AlterField( model_name='internetnewsperson', name='family_role', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="Code yes only if the word 'wife', 'husband' etc is actually used to describe the person.", max_length=1, verbose_name='(16) Family Role Given?'), ), migrations.AlterField( model_name='internetnewsperson', name='is_quoted', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text='<p>A person is <strong>directly quoted</strong> if their own words are printed, e.g. "The war against terror is our first priority" said President Bush.</p><p>If the story paraphrases what the person said, that is not a direct quote, e.g. President Bush said that top priority would be given to fighting the war against terror.</p>', max_length=1, verbose_name='(20) Is the person directly quoted'), ), migrations.AlterField( model_name='internetnewsperson', name='special_qn_1', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(20) Special question 1'), ), migrations.AlterField( model_name='internetnewsperson', name='special_qn_2', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(21) Special question 2'), ), migrations.AlterField( model_name='internetnewsperson', name='special_qn_3', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(22) Special question 3'), ), migrations.AlterField( model_name='internetnewsperson', name='victim_or_survivor', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="<p>You should code a person as a <strong>victim</strong> either if the word 'victim' is used to describe her/him, or if the story Implies that the person is a victim - e.g. by using language or images that evoke particular emotions such as shock, horror, pity for the person.</p><p>You should code a person as a <strong>survivor</strong> either if the word 'survivor' is used to describe her/him, or if the story implies that the person is a survivor - e.g. by using language or images that evoke particular emotions such as admiration or respect for the person.</p>", max_length=1, verbose_name='(17) Does the story identify the person as either a victim or survivor?'), ), migrations.AlterField( model_name='internetnewssheet', name='about_women', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(7) Is the story about a particular woman or group of women?'), ), migrations.AlterField( model_name='internetnewssheet', name='equality_rights', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="Scan the full news story and code 'Yes' if it quotes or makes reference to any piece of legislation or policy that promotes gender equality or human rights.", max_length=1, verbose_name='(6) Reference to gender equality / human rights legislation/ policy'), ), migrations.AlterField( model_name='internetnewssheet', name='further_analysis', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="<br><br>A story warrants further analysis if it clearly perpetuates or clearly challenges gender stereotypes, if it includes women's opinions in a remarkable way, if it contributes to an understanding of inequalities between women and men, if it mentions or calls attention to women's human rights, etc. Consult the guide for further explanation", max_length=1, verbose_name='(26) Does this story warrant further analysis?'), ), migrations.AlterField( model_name='internetnewssheet', name='inequality_women', field=models.PositiveIntegerField(choices=[(1, '(1) Agree'), (2, '(2) Disagree')], verbose_name='(8) This story clearly highlights issues of inequality between women and men'), ), migrations.AlterField( model_name='internetnewssheet', name='offline_presence', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='Offline presence?'), ), migrations.AlterField( model_name='internetnewssheet', name='shared_on_facebook', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text='Has this story been shared by the media house on its Facebook Page?', max_length=1, verbose_name='(5) Shared on Facebook'), ), migrations.AlterField( model_name='internetnewssheet', name='shared_via_twitter', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text='Has this story been shared by the media house via Twitter?\n\n<br>Enter the exact URL of the story into <a href="https://unionmetrics.com/free-tools/twitter-snapshot-report/" target="_blank">https://unionmetrics.com/free-tools/twitter-snapshot-report/</a> - answer yes if the media house\'s name appears in the search results.', max_length=1, verbose_name='(4) Shared via twitter?'), ), migrations.AlterField( model_name='internetnewssheet', name='stereotypes', field=models.PositiveIntegerField(choices=[(1, '(1) Agree'), (2, '(2) Disagree')], help_text='This story clearly challenges gender stereotypes', verbose_name='(9) Challenges Stereotypes'), ), migrations.AlterField( model_name='newspaperperson', name='family_role', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="Code yes only if the word 'wife', 'husband' etc is actually used to describe the person.", max_length=1, verbose_name='(14) Family Role Given?'), ), migrations.AlterField( model_name='newspaperperson', name='is_quoted', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text='<p>A person is <strong>directly quoted</strong> if their own words are printed, e.g. "The war against terror is our first priority" said President Bush.</p><p>If the story paraphrases what the person said, that is not a direct quote, e.g. President Bush said that top priority would be given to fighting the war against terror.</p>', max_length=1, verbose_name='(18) Is the person directly quoted'), ), migrations.AlterField( model_name='newspaperperson', name='special_qn_1', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(20) Special question 1'), ), migrations.AlterField( model_name='newspaperperson', name='special_qn_2', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(21) Special question 2'), ), migrations.AlterField( model_name='newspaperperson', name='special_qn_3', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(22) Special question 3'), ), migrations.AlterField( model_name='newspaperperson', name='victim_or_survivor', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="<p>You should code a person as a <strong>victim</strong> either if the word 'victim' is used to describe her/him, or if the story Implies that the person is a victim - e.g. by using language or images that evoke particular emotions such as shock, horror, pity for the person.</p><p>You should code a person as a <strong>survivor</strong> either if the word 'survivor' is used to describe her/him, or if the story implies that the person is a survivor - e.g. by using language or images that evoke particular emotions such as admiration or respect for the person.</p>", max_length=1, verbose_name='(15) Does the story identify the person as either a victim or survivor?'), ), migrations.AlterField( model_name='newspapersheet', name='about_women', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(6) Is the story about a particular woman or group of women?'), ), migrations.AlterField( model_name='newspapersheet', name='equality_rights', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="Scan the full news story and code 'Yes' if it quotes or makes reference to any piece of legislation or policy that promotes gender equality or human rights.", max_length=1, verbose_name='(5) Reference to gender equality / human rights legislation/ policy'), ), migrations.AlterField( model_name='newspapersheet', name='further_analysis', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="<br><br>A story warrants further analysis if it clearly perpetuates or clearly challenges gender stereotypes, if it includes women's opinions in a remarkable way, if it contributes to an understanding of inequalities between women and men, if it mentions or calls attention to women's human rights, etc. Consult the guide for further explanation", max_length=1, verbose_name='(24) Does this story warrant further analysis?'), ), migrations.AlterField( model_name='newspapersheet', name='inequality_women', field=models.PositiveIntegerField(choices=[(1, '(1) Agree'), (2, '(2) Disagree')], verbose_name='(7) This story clearly highlights issues of inequality between women and men'), ), migrations.AlterField( model_name='newspapersheet', name='stereotypes', field=models.PositiveIntegerField(choices=[(1, '(1) Agree'), (2, '(2) Disagree')], help_text='This story clearly challenges gender stereotypes', verbose_name='(8) Challenges Stereotypes'), ), migrations.AlterField( model_name='radioperson', name='family_role', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="Code yes only if the word 'wife', 'husband' etc is actually used to describe the person.", max_length=1, verbose_name='(13) Family Role Given?'), ), migrations.AlterField( model_name='radioperson', name='special_qn_1', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(20) Special question 1'), ), migrations.AlterField( model_name='radioperson', name='special_qn_2', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(21) Special question 2'), ), migrations.AlterField( model_name='radioperson', name='special_qn_3', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(22) Special question 3'), ), migrations.AlterField( model_name='radioperson', name='victim_or_survivor', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="<p>You should code a person as a <strong>victim</strong> either if the word 'victim' is used to describe her/him, or if the story Implies that the person is a victim - e.g. by using language or images that evoke particular emotions such as shock, horror, pity for the person.</p><p>You should code a person as a <strong>survivor</strong> either if the word 'survivor' is used to describe her/him, or if the story implies that the person is a survivor - e.g. by using language or images that evoke particular emotions such as admiration or respect for the person.</p>", max_length=1, verbose_name='(14) Does the story identify the person as either a victim or survivor?'), ), migrations.AlterField( model_name='radiosheet', name='about_women', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(5) Is the story about a particular woman or group of women?'), ), migrations.AlterField( model_name='radiosheet', name='equality_rights', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="Scan the full news story and code 'Yes' if it quotes or makes reference to any piece of legislation or policy that promotes gender equality or human rights.", max_length=1, verbose_name='(4) Reference to gender equality / human rights legislation/ policy'), ), migrations.AlterField( model_name='radiosheet', name='further_analysis', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="<br><br>A story warrants further analysis if it clearly perpetuates or clearly challenges gender stereotypes, if it includes women's opinions in a remarkable way, if it contributes to an understanding of inequalities between women and men, if it mentions or calls attention to women's human rights, etc. Consult the guide for further explanation", max_length=1, verbose_name='(20) Does this story warrant further analysis?'), ), migrations.AlterField( model_name='radiosheet', name='inequality_women', field=models.PositiveIntegerField(choices=[(1, '(1) Agree'), (2, '(2) Disagree')], verbose_name='(6) This story clearly highlights issues of inequality between women and men'), ), migrations.AlterField( model_name='radiosheet', name='stereotypes', field=models.PositiveIntegerField(choices=[(1, '(1) Agree'), (2, '(2) Disagree')], help_text='This story clearly challenges gender stereotypes', verbose_name='(7) Challenges Stereotypes'), ), migrations.AlterField( model_name='televisionperson', name='family_role', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="Code yes only if the word 'wife', 'husband' etc is actually used to describe the person.", max_length=1, verbose_name='(15) Family Role Given?'), ), migrations.AlterField( model_name='televisionperson', name='special_qn_1', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(20) Special question 1'), ), migrations.AlterField( model_name='televisionperson', name='special_qn_2', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(21) Special question 2'), ), migrations.AlterField( model_name='televisionperson', name='special_qn_3', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(22) Special question 3'), ), migrations.AlterField( model_name='televisionperson', name='victim_or_survivor', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="<p>You should code a person as a <strong>victim</strong> either if the word 'victim' is used to describe her/him, or if the story Implies that the person is a victim - e.g. by using language or images that evoke particular emotions such as shock, horror, pity for the person.</p><p>You should code a person as a <strong>survivor</strong> either if the word 'survivor' is used to describe her/him, or if the story implies that the person is a survivor - e.g. by using language or images that evoke particular emotions such as admiration or respect for the person.</p>", max_length=1, verbose_name='(16) Does the story identify the person as either a victim or survivor?'), ), migrations.AlterField( model_name='televisionsheet', name='about_women', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(5) Is the story about a particular woman or group of women?'), ), migrations.AlterField( model_name='televisionsheet', name='equality_rights', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="Scan the full news story and code 'Yes' if it quotes or makes reference to any piece of legislation or policy that promotes gender equality or human rights.", max_length=1, verbose_name='(4) Reference to gender equality / human rights legislation/ policy'), ), migrations.AlterField( model_name='televisionsheet', name='further_analysis', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="<br><br>A story warrants further analysis if it clearly perpetuates or clearly challenges gender stereotypes, if it includes women's opinions in a remarkable way, if it contributes to an understanding of inequalities between women and men, if it mentions or calls attention to women's human rights, etc. Consult the guide for further explanation", max_length=1, verbose_name='(22) Does this story warrant further analysis?'), ), migrations.AlterField( model_name='televisionsheet', name='inequality_women', field=models.PositiveIntegerField(choices=[(1, '(1) Agree'), (2, '(2) Disagree')], verbose_name='(6) This story clearly highlights issues of inequality between women and men'), ), migrations.AlterField( model_name='televisionsheet', name='stereotypes', field=models.PositiveIntegerField(choices=[(1, '(1) Agree'), (2, '(2) Disagree')], help_text='This story clearly challenges gender stereotypes', verbose_name='(7) Challenges Stereotypes'), ), migrations.AlterField( model_name='twitterperson', name='special_qn_1', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(14) Special question 1'), ), migrations.AlterField( model_name='twitterperson', name='special_qn_2', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(15) Special question 2'), ), migrations.AlterField( model_name='twitterperson', name='special_qn_3', field=models.CharField(blank=True, choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(16) Special question 3'), ), migrations.AlterField( model_name='twittersheet', name='about_women', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], max_length=1, verbose_name='(4) Is the story about a particular woman or group of women?'), ), migrations.AlterField( model_name='twittersheet', name='equality_rights', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="Scan the full news story and code 'Yes' if it quotes or makes reference to any piece of legislation or policy that promotes gender equality or human rights.", max_length=1, verbose_name='(3) Reference to gender equality / human rights legislation/ policy'), ), migrations.AlterField( model_name='twittersheet', name='further_analysis', field=models.CharField(choices=[('Y', '(1) Yes'), ('N', '(2) No')], help_text="<br><br>A tweet warrants further analysis if it clearly perpetuates or clearly challenges gender stereotypes, if it includes women's opinions in a remarkable way, if it contributes to an understanding of inequalities between women and men, if it mentions or calls attention to women's human rights, etc. Consult the guide for further explanation", max_length=1, verbose_name='(18) Does this tweet warrant further analysis?'), ), migrations.AlterField( model_name='twittersheet', name='inequality_women', field=models.PositiveIntegerField(choices=[(1, '(1) Agree'), (2, '(2) Disagree')], verbose_name='(5) This story clearly highlights issues of inequality between women and men'), ), migrations.AlterField( model_name='twittersheet', name='stereotypes', field=models.PositiveIntegerField(choices=[(1, '(1) Agree'), (2, '(2) Disagree')], help_text='This story clearly challenges gender stereotypes', verbose_name='(6) Challenges Stereotypes'), ), ]

77.494624

762

0.641321

2,812

21,621

4.842461

0.082148

0.077844

0.097305

0.112874

0.969377

0.914445

0.888155

0.856209

0.848278

0

0.018541

0.221683

21,621

278

763

77.773381

0.790647

0.002081

0

0.841912

1

0.084559

0.508343

0.010939

0

1

0

false

0

0.003676

0

0.014706

0.007353

0

null

0

1

0

1

0

null

0

8

5aa8056034464d62358e3e0cb976930423ab1ffb

1,295

py

Python

userBotInterface/models.py

nimag42/HungryBot

43f51925329b25e56856f3c411588153504155ac

[ "MIT" ]

null

userBotInterface/models.py

nimag42/HungryBot

43f51925329b25e56856f3c411588153504155ac

[ "MIT" ]

null

userBotInterface/models.py

nimag42/HungryBot

43f51925329b25e56856f3c411588153504155ac

[ "MIT" ]

null

from django.db import models class choice_str(models.Model): text = models.CharField(max_length=200) nb_choice = models.IntegerField('Number of choice', default=0) def __unicode__(self): return self.text class hello_morning(models.Model): text = models.CharField(max_length=200) def __unicode__(self): return self.text class what_morning(models.Model): text = models.CharField(max_length=200) def __unicode__(self): return self.text class what_dejeuner(models.Model): text = models.CharField(max_length=200) def __unicode__(self): return self.text class entree_str(models.Model): text = models.CharField(max_length=200) def __unicode__(self): return self.text class plat_str(models.Model): text = models.CharField(max_length=200) def __unicode__(self): return self.text class dessert_str(models.Model): text = models.CharField(max_length=200) def __unicode__(self): return self.text class hello_dinner(models.Model): text = models.CharField(max_length=200) def __unicode__(self): return self.text class what_dinner(models.Model): text = models.CharField(max_length=200) def __unicode__(self): return self.text

21.583333

66

0.689575

167

1,295

5.017964

0.191617

0.118138

0.161098

0.225537

0.871122

0.819809

0.76611

0

0.027478

0.213127

1,295

59

67

21.949153

0.794897

0

0.710526

0

0.012355

0

1

0.236842

false

0

0.026316

0.236842

1

0

null

0

1

0

1

0

null

0

1

0

1

0

11

51c981ea4d6b24ae4510f19c1bde8d5416c30cdc

22,615

py

Python

data_analysis_tools_for_gfbs_data/scraper_analyser_tests.py

MedadRufus/MastersProject

b2e498e14e1e8b9bcae29c4236522f65711f685b

[ "MIT" ]

null

data_analysis_tools_for_gfbs_data/scraper_analyser_tests.py

MedadRufus/MastersProject

b2e498e14e1e8b9bcae29c4236522f65711f685b

[ "MIT" ]

205

2021-01-28T17:08:22.000Z

2021-06-29T17:08:47.000Z

data_analysis_tools_for_gfbs_data/scraper_analyser_tests.py

MedadRufus/MastersProject

b2e498e14e1e8b9bcae29c4236522f65711f685b

[ "MIT" ]

null

import unittest from datetime import datetime from statistics import variance class Test_Scorer(unittest.TestCase): def test_variance_0(self): values = [38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 38.800880432128906, 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null

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13

51ea87e57eb8c0be4dd48a72bf77a7d41c9e3c32

1,926

py

Python

tests/test_bha.py

R3bs/darwin

3ebb0888ea9f0b688ba6aa1734667e62b721df53

[ "MIT" ]

null

tests/test_bha.py

R3bs/darwin

3ebb0888ea9f0b688ba6aa1734667e62b721df53

[ "MIT" ]

28

2019-06-12T19:55:23.000Z

2019-08-06T02:47:26.000Z

tests/test_bha.py

R3bs/darwin

3ebb0888ea9f0b688ba6aa1734667e62b721df53

[ "MIT" ]

null

import pytest import darwin import numpy as np # define the mapping parameters used x = (-200,+200) y = (-1000,+1000) # discrete used map1 = (0,1,2,3) map2 = ('a', 'b', 'c', 'd') def test_htcondor_bha_continuous(supplyFitnessFunction): bha = darwin.Algorithm(darwin.opt.BlackHoleAlgorithm) bha.particles = np.random.randint(5, 20) bha.iterations = np.random.randint(5, 15) bha.executionEngine = darwin.drm.HTCondor bha.addVariable('x', x) bha.addVariable('y', y) bha.function = supplyFitnessFunction bha.submitFile = 'sanity.submit' bha.start() def test_htcondor_bha_discrete(supplyDiscreteFitnessFunction): bha = darwin.Algorithm(darwin.opt.BlackHoleAlgorithm) bha.particles = np.random.randint(5, 20) bha.iterations = np.random.randint(5, 15) bha.executionEngine = darwin.drm.HTCondor bha.addVariable('map1', map1, discrete=True) bha.addVariable('map2', map2, discrete=True) bha.function = supplyDiscreteFitnessFunction bha.submitFile = 'sanity_discrete.submit' bha.start() def test_local_bha_continuous(supplyFitnessFunction): bha = darwin.Algorithm(darwin.opt.BlackHoleAlgorithm) bha.particles = np.random.randint(5, 20) bha.iterations = np.random.randint(5, 15) bha.executionEngine = darwin.drm.TaskSpooler bha.addVariable('x', x) bha.addVariable('y', y) bha.function = supplyFitnessFunction bha.submitFile = 'sanity.submit' bha.start() def test_local_bha_discrete(supplyDiscreteFitnessFunction): bha = darwin.Algorithm(darwin.opt.BlackHoleAlgorithm) bha.particles = np.random.randint(5, 20) bha.iterations = np.random.randint(5, 15) bha.executionEngine = darwin.drm.TaskSpooler bha.addVariable('map1', map1, discrete=True) bha.addVariable('map2', map2, discrete=True) bha.function = supplyDiscreteFitnessFunction bha.submitFile = 'sanity_discrete.submit' bha.start()

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1

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1

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null

0

7

cfd5c834aa6b5c09b06e22426499ae1e9c40bf4d

40

py

Python

alicehoyle/blueprints/pages/__init__.py

benhoyle/alicewebsite

52516d56ca105cdc4e17f3e8e3855d135c845a35

[ "MIT" ]

null

alicehoyle/blueprints/pages/__init__.py

benhoyle/alicewebsite

52516d56ca105cdc4e17f3e8e3855d135c845a35

[ "MIT" ]

null

alicehoyle/blueprints/pages/__init__.py

benhoyle/alicewebsite

52516d56ca105cdc4e17f3e8e3855d135c845a35

[ "MIT" ]

null

from blueprints.pages.views import pages

40

0.875

6

40

5.833333

0.833333

0

0.075

40

1

40

0.945946

0

1

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0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

7

320cdc92e10dadae0dea4c5979cf24490712f6c1

21,823

py

Python

new/CustomVAE.py

yizhouzhao/3D_SLN

5db241f1daa6e8095b69ff8467551ce374b598b6

[ "Apache-2.0" ]

null

new/CustomVAE.py

yizhouzhao/3D_SLN

5db241f1daa6e8095b69ff8467551ce374b598b6

[ "Apache-2.0" ]

null

new/CustomVAE.py

yizhouzhao/3D_SLN

5db241f1daa6e8095b69ff8467551ce374b598b6

[ "Apache-2.0" ]

null

from logging import log import torch import torch.nn as nn import torch.nn.functional as F from torch.distributions import Categorical from models.graph import make_mlp, GraphTripleConvNet, _init_weights from torch_geometric.nn import RGCNConv from torch_scatter import scatter_mean from transformers import BertModel, BertConfig from transformers.models.bert.modeling_bert import BertEncoder, BertPooler class OriVAEDecoder(nn.Module): def __init__(self, vocab, embedding_dim=128, batch_size=32, train_3d=True, decoder_cat=False, Nangle=24, gconv_mode='feedforward', gconv_pooling='avg', gconv_num_layers=5, mlp_normalization='none', vec_noise_dim=0, layout_noise_dim=0, use_AE=False, use_attr=True): super().__init__() gconv_dim = embedding_dim gconv_hidden_dim = gconv_dim * 4 box_embedding_dim = int(embedding_dim * 3 / 4) angle_embedding_dim = int(embedding_dim / 4) attr_embedding_dim = 0 obj_embedding_dim = embedding_dim self.use_attr = use_attr self.batch_size = batch_size self.train_3d = train_3d self.decoder_cat = decoder_cat self.vocab = vocab self.vec_noise_dim = vec_noise_dim self.layout_noise_dim = layout_noise_dim self.use_AE = use_AE if self.use_attr: obj_embedding_dim = int(embedding_dim * 3 / 4) attr_embedding_dim = int(embedding_dim / 4) num_objs = len(vocab['object_idx_to_name']) num_preds = len(vocab['pred_idx_to_name']) num_attrs = len(vocab['attrib_idx_to_name']) self.obj_embeddings_dc = nn.Embedding(num_objs + 1, obj_embedding_dim) self.pred_embeddings_dc = nn.Embedding(num_preds, embedding_dim) if use_attr: self.attr_embedding_dc = nn.Embedding(num_attrs, attr_embedding_dim) if self.decoder_cat: self.pred_embeddings_dc = nn.Embedding(num_preds, embedding_dim * 2) if gconv_num_layers > 0: gconv_kwargs_dc = { 'input_dim': gconv_dim, 'hidden_dim': gconv_hidden_dim, 'pooling': gconv_pooling, 'num_layers': gconv_num_layers, 'mode': gconv_mode, 'mlp_normalization': mlp_normalization, } if self.decoder_cat: gconv_kwargs_dc['input_dim'] = gconv_dim * 2 self.gconv_net_dc = GraphTripleConvNet(**gconv_kwargs_dc) # box prediction net if self.train_3d: box_net_dim = 6 else: box_net_dim = 4 box_net_layers = [gconv_dim * 2, gconv_hidden_dim, box_net_dim] if self.use_attr: box_net_layers = [gconv_dim * 2 + attr_embedding_dim, gconv_hidden_dim, box_net_dim] # print("box_net_layers", box_net_layers) self.box_net = make_mlp(box_net_layers, batch_norm=mlp_normalization, norelu=True) # angle prediction net angle_net_layers = [gconv_dim * 2, gconv_hidden_dim, Nangle] self.angle_net = make_mlp(angle_net_layers, batch_norm=mlp_normalization, norelu=True) def decoder(self, z, objs, triples, attributes): s, p, o = triples.chunk(3, dim=1) # All have shape (T, 1) s, p, o = [x.squeeze(1) for x in [s, p, o]] # Now have shape (T,) edges = torch.stack([s, o], dim=1) # Shape is (T, 2) obj_vecs = self.obj_embeddings_dc(objs) if self.use_attr: attr_vecs = self.attr_embedding_dc(attributes) obj_vecs = torch.cat([obj_vecs, attr_vecs], dim=1) pred_vecs = self.pred_embeddings_dc(p) # concatenate noise first if self.decoder_cat: obj_vecs = torch.cat([obj_vecs, z], dim=1) obj_vecs, pred_vecs = self.gconv_net_dc(obj_vecs, pred_vecs, edges) # concatenate noise after gconv else: obj_vecs, pred_vecs = self.gconv_net_dc(obj_vecs, pred_vecs, edges) obj_vecs = torch.cat([obj_vecs, z], dim=1) if self.use_attr: obj_vecs_box = torch.cat([obj_vecs, attr_vecs], dim=1) # print("obj_vecs_box", obj_vecs_box.shape) boxes_pred = self.box_net(obj_vecs_box) else: boxes_pred = self.box_net(obj_vecs) angles_pred = F.log_softmax(self.angle_net(obj_vecs), dim=1) return boxes_pred, angles_pred class RGCNDecoder(nn.Module): def __init__(self, vocab, embedding_dim=128, batch_size=32, train_3d=True, decoder_cat=False, Nangle=24, gconv_mode='feedforward', gconv_pooling='avg', gconv_num_layers=5, mlp_normalization='none', vec_noise_dim=0, layout_noise_dim=0, use_AE=False, use_attr=True): super().__init__() gconv_dim = embedding_dim gconv_hidden_dim = gconv_dim * 4 box_embedding_dim = int(embedding_dim * 3 / 4) angle_embedding_dim = int(embedding_dim / 4) attr_embedding_dim = 0 obj_embedding_dim = embedding_dim self.use_attr = use_attr self.batch_size = batch_size self.train_3d = train_3d self.decoder_cat = decoder_cat self.vocab = vocab self.vec_noise_dim = vec_noise_dim self.layout_noise_dim = layout_noise_dim self.use_AE = use_AE if self.use_attr: obj_embedding_dim = int(embedding_dim * 3 / 4) attr_embedding_dim = int(embedding_dim / 4) num_objs = len(vocab['object_idx_to_name']) num_preds = len(vocab['pred_idx_to_name']) num_attrs = len(vocab['attrib_idx_to_name']) self.obj_embeddings_dc = nn.Embedding(num_objs + 1, obj_embedding_dim) #self.pred_embeddings_dc = nn.Embedding(num_preds, embedding_dim) if use_attr: self.attr_embedding_dc = nn.Embedding(num_attrs, attr_embedding_dim) # if self.decoder_cat: # self.pred_embeddings_dc = nn.Embedding(num_preds, embedding_dim * 2) if gconv_num_layers > 0: gconv_kwargs_dc = { 'input_dim': gconv_dim, #'hidden_dim': gconv_hidden_dim, #'pooling': gconv_pooling, 'num_layers': gconv_num_layers, #'mode': gconv_mode, #'mlp_normalization': mlp_normalization, } if self.decoder_cat: gconv_kwargs_dc['input_dim'] = gconv_dim * 2 self.gconv_net_dc = nn.ModuleList() for j in range(gconv_num_layers): self.gconv_net_dc.append(RGCNConv(gconv_kwargs_dc['input_dim'] , gconv_kwargs_dc['input_dim'] , num_relations=16)) # box prediction net if self.train_3d: box_net_dim = 6 else: box_net_dim = 4 box_net_layers = [gconv_dim * 2, gconv_hidden_dim, box_net_dim] if self.use_attr: box_net_layers = [gconv_dim * 2 + attr_embedding_dim, gconv_hidden_dim, box_net_dim] # print("box_net_layers", box_net_layers) self.box_net = make_mlp(box_net_layers, batch_norm=mlp_normalization, norelu=True) # angle prediction net angle_net_layers = [gconv_dim * 2, gconv_hidden_dim, Nangle] self.angle_net = make_mlp(angle_net_layers, batch_norm=mlp_normalization, norelu=True) def decoder(self, z, objs, triples, attributes): s, p, o = triples.chunk(3, dim=1) # All have shape (T, 1) s, p, o = [x.squeeze(1) for x in [s, p, o]] # Now have shape (T,) edges = torch.stack([s, o], dim=1).transpose(0, 1) # Shape is (2, T) obj_vecs = self.obj_embeddings_dc(objs) if self.use_attr: attr_vecs = self.attr_embedding_dc(attributes) obj_vecs = torch.cat([obj_vecs, attr_vecs], dim=1) # pred_vecs = self.pred_embeddings_dc(p) # concatenate noise first if self.decoder_cat: obj_vecs = torch.cat([obj_vecs, z], dim=1) for j in range(len(self.gconv_net_dc)): print(j, "obj_vecs", obj_vecs.shape) print("edges", edges.shape) obj_vecs = self.gconv_net_dc[j](obj_vecs, edges, edge_type = p) obj_vecs = torch.relu(obj_vecs) # concatenate noise after gconv else: for j in range(len(self.gconv_net_dc)): obj_vecs = self.gconv_net_dc[j](obj_vecs, edges, edge_type = p) obj_vecs = torch.relu(obj_vecs) obj_vecs = torch.cat([obj_vecs, z], dim=1) if self.use_attr: obj_vecs_box = torch.cat([obj_vecs, attr_vecs], dim=1) # print("obj_vecs_box", obj_vecs_box.shape) boxes_pred = self.box_net(obj_vecs_box) else: boxes_pred = self.box_net(obj_vecs) angles_pred = F.log_softmax(self.angle_net(obj_vecs), dim=1) return boxes_pred, angles_pred class OriVAEEncoder(nn.Module): def __init__(self, vocab, embedding_dim=128, batch_size=32, train_3d=True, decoder_cat=False, Nangle=24, gconv_mode='feedforward', gconv_pooling='avg', gconv_num_layers=5, mlp_normalization='none', vec_noise_dim=0, layout_noise_dim=0, use_AE=False, use_attr=True): super().__init__() gconv_dim = embedding_dim gconv_hidden_dim = gconv_dim * 4 box_embedding_dim = int(embedding_dim * 3 / 4) angle_embedding_dim = int(embedding_dim / 4) attr_embedding_dim = 0 obj_embedding_dim = embedding_dim self.use_attr = use_attr self.batch_size = batch_size self.train_3d = train_3d self.decoder_cat = decoder_cat self.vocab = vocab self.vec_noise_dim = vec_noise_dim self.layout_noise_dim = layout_noise_dim self.use_AE = use_AE if self.use_attr: obj_embedding_dim = int(embedding_dim * 3 / 4) attr_embedding_dim = int(embedding_dim / 4) num_objs = len(vocab['object_idx_to_name']) num_preds = len(vocab['pred_idx_to_name']) num_attrs = len(vocab['attrib_idx_to_name']) # making nets self.obj_embeddings_ec = nn.Embedding(num_objs + 1, obj_embedding_dim) self.pred_embeddings_ec = nn.Embedding(num_preds, embedding_dim * 2) self.obj_embeddings_dc = nn.Embedding(num_objs + 1, obj_embedding_dim) self.pred_embeddings_dc = nn.Embedding(num_preds, embedding_dim) if use_attr: self.attr_embedding_ec = nn.Embedding(num_attrs, attr_embedding_dim) if self.train_3d: self.box_embeddings = nn.Linear(6, box_embedding_dim) else: self.box_embeddings = nn.Linear(4, box_embedding_dim) self.angle_embeddings = nn.Embedding(Nangle, angle_embedding_dim) # weight sharing of mean and var self.box_mean_var = make_mlp([embedding_dim * 2, gconv_hidden_dim, embedding_dim * 2], batch_norm=mlp_normalization) self.box_mean = make_mlp([embedding_dim * 2, box_embedding_dim], batch_norm=mlp_normalization, norelu=True) self.box_var = make_mlp([embedding_dim * 2, box_embedding_dim], batch_norm=mlp_normalization, norelu=True) self.angle_mean_var = make_mlp([embedding_dim * 2, gconv_hidden_dim, embedding_dim * 2], batch_norm=mlp_normalization) self.angle_mean = make_mlp([embedding_dim * 2, angle_embedding_dim], batch_norm=mlp_normalization, norelu=True) self.angle_var = make_mlp([embedding_dim * 2, angle_embedding_dim], batch_norm=mlp_normalization, norelu=True) # graph conv net self.gconv_net_ec = None if gconv_num_layers > 0: gconv_kwargs_ec = { 'input_dim': gconv_dim * 2, 'hidden_dim': gconv_hidden_dim, 'pooling': gconv_pooling, 'num_layers': gconv_num_layers, 'mode': gconv_mode, 'mlp_normalization': mlp_normalization, } self.gconv_net_ec = GraphTripleConvNet(**gconv_kwargs_ec) def encoder(self, objs, triples, boxes_gt, angles_gt, attributes): O, T = objs.size(0), triples.size(0) s, p, o = triples.chunk(3, dim=1) # All have shape (T, 1) s, p, o = [x.squeeze(1) for x in [s, p, o]] # Now have shape (T,) edges = torch.stack([s, o], dim=1) # Shape is (T, 2) obj_vecs = self.obj_embeddings_ec(objs) if self.use_attr: attr_vecs = self.attr_embedding_ec(attributes) obj_vecs = torch.cat([obj_vecs, attr_vecs], dim=1) angle_vecs = self.angle_embeddings(angles_gt) pred_vecs = self.pred_embeddings_ec(p) boxes_vecs = self.box_embeddings(boxes_gt) obj_vecs = torch.cat([obj_vecs, boxes_vecs, angle_vecs], dim=1) if self.gconv_net_ec is not None: obj_vecs, pred_vecs = self.gconv_net_ec(obj_vecs, pred_vecs, edges) obj_vecs_box = self.box_mean_var(obj_vecs) mu_box = self.box_mean(obj_vecs_box) logvar_box = self.box_var(obj_vecs_box) obj_vecs_angle = self.angle_mean_var(obj_vecs) mu_angle = self.angle_mean(obj_vecs_angle) logvar_angle = self.angle_var(obj_vecs_angle) mu = torch.cat([mu_box, mu_angle], dim=1) logvar = torch.cat([logvar_box, logvar_angle], dim=1) return mu, logvar class TransformerEncoder(nn.Module): def __init__(self, vocab, embedding_dim=128, batch_size=32, train_3d=True, decoder_cat=False, Nangle=24, gconv_mode='feedforward', gconv_pooling='avg', gconv_num_layers=5, mlp_normalization='none', vec_noise_dim=0, layout_noise_dim=0, use_AE=False, use_attr=True): super().__init__() gconv_dim = embedding_dim gconv_hidden_dim = gconv_dim * 4 box_embedding_dim = int(embedding_dim * 3 / 4) angle_embedding_dim = int(embedding_dim / 4) attr_embedding_dim = 0 obj_embedding_dim = embedding_dim self.use_attr = use_attr self.batch_size = batch_size self.train_3d = train_3d self.decoder_cat = decoder_cat self.vocab = vocab self.vec_noise_dim = vec_noise_dim self.layout_noise_dim = layout_noise_dim self.use_AE = use_AE if self.use_attr: obj_embedding_dim = int(embedding_dim * 3 / 4) attr_embedding_dim = int(embedding_dim / 4) num_objs = len(vocab['object_idx_to_name']) num_preds = len(vocab['pred_idx_to_name']) num_attrs = len(vocab['attrib_idx_to_name']) # making nets self.obj_embeddings_ec = nn.Embedding(num_objs + 1, obj_embedding_dim) if use_attr: self.attr_embedding_ec = nn.Embedding(num_attrs, attr_embedding_dim) if self.train_3d: self.box_embeddings = nn.Linear(6, box_embedding_dim) else: self.box_embeddings = nn.Linear(4, box_embedding_dim) self.angle_embeddings = nn.Embedding(Nangle, angle_embedding_dim) ## transformer self.bert_config = BertConfig() self.bert_config.hidden_size = 2 * embedding_dim self.bert_encoder = BertEncoder(self.bert_config) ## latent representation self.box_mean_var = make_mlp([embedding_dim * 2, gconv_hidden_dim, embedding_dim * 2], batch_norm=mlp_normalization) self.box_mean = make_mlp([embedding_dim * 2, box_embedding_dim], batch_norm=mlp_normalization, norelu=True) self.box_var = make_mlp([embedding_dim * 2, box_embedding_dim], batch_norm=mlp_normalization, norelu=True) self.angle_mean_var = make_mlp([embedding_dim * 2, gconv_hidden_dim, embedding_dim * 2], batch_norm=mlp_normalization) self.angle_mean = make_mlp([embedding_dim * 2, angle_embedding_dim], batch_norm=mlp_normalization, norelu=True) self.angle_var = make_mlp([embedding_dim * 2, angle_embedding_dim], batch_norm=mlp_normalization, norelu=True) # graph conv net def encoder(self, objs, boxes_gt, angles_gt, attributes, attention_mask): ''' Get the score matrix for sampling distributions ''' obj_vecs = self.obj_embeddings_ec(objs) if self.use_attr: attr_vecs = self.attr_embedding_ec(attributes) obj_vecs = torch.cat([obj_vecs, attr_vecs], dim=1) angle_vecs = self.angle_embeddings(angles_gt) boxes_vecs = self.box_embeddings(boxes_gt) obj_vecs = torch.cat([obj_vecs, boxes_vecs, angle_vecs], dim=1) #[B x D] obj_vecs = obj_vecs.unsqueeze(0) # [1xBxD] # attention mask # obj_counts = [torch.sum(obj_to_img == i).item() for i in range(self.batch_size)] # block_list = [torch.ones((obj_counts[i],obj_counts[i])) for i in range(self.batch_size)] # attention_mask = torch.block_diag(*block_list).to(obj_vecs.device) # [BxB] # the attention mask is expand as [1 x 1 x B x B] bert_outputs = self.bert_encoder(obj_vecs, attention_mask=attention_mask[None,None,:,:])[0] # [1 x B x D] return bert_outputs # [1 x B x D] def get_hidden_representation(self, hidden_states): obj_encodings = hidden_states.squeeze(0) obj_vecs_box = self.box_mean_var(obj_encodings) mu_box = self.box_mean(obj_vecs_box) logvar_box = self.box_var(obj_vecs_box) obj_vecs_angle = self.angle_mean_var(obj_encodings) mu_angle = self.angle_mean(obj_vecs_angle) logvar_angle = self.angle_var(obj_vecs_angle) mu = torch.cat([mu_box, mu_angle], dim=1) logvar = torch.cat([logvar_box, logvar_angle], dim=1) return mu, logvar # [B x H] def get_global_hidden_representation(self, hidden_states, obj_to_img): obj_encodings = hidden_states.squeeze(0) pooled_encodings= scatter_mean(obj_encodings,obj_to_img, dim = 0) # [args.batch x D] obj_vecs_box = self.box_mean_var(pooled_encodings) mu_box = self.box_mean(obj_vecs_box) logvar_box = self.box_var(obj_vecs_box) obj_vecs_angle = self.angle_mean_var(pooled_encodings) mu_angle = self.angle_mean(obj_vecs_angle) logvar_angle = self.angle_var(obj_vecs_angle) mu = torch.cat([mu_box, mu_angle], dim=1) logvar = torch.cat([logvar_box, logvar_angle], dim=1) return mu, logvar # [args.batch x H] class GraphGenerator(nn.Module): def __init__(self, vocab, embedding_dim=128, batch_size=32, train_3d=True, decoder_cat=False, Nangle=24, gconv_mode='feedforward', gconv_pooling='avg', gconv_num_layers=5, mlp_normalization='none', vec_noise_dim=0, layout_noise_dim=0, use_AE=False, use_attr=True): super().__init__() self.batch_size = batch_size # edge linker self.subject_linear = make_mlp([2 * embedding_dim, embedding_dim]) self.object_linear = make_mlp([2 * embedding_dim, embedding_dim]) def get_score_matrix(self, hidden_states, attention_mask): ''' Get the score matrix for linking edges from the output hidden states of the transformer ''' subject_linear_output = self.subject_linear(hidden_states) # [1 x B x D'] object_linear_output = self.object_linear(hidden_states) # [1 x B x D'] subject_linear_output = subject_linear_output.squeeze(0) object_linear_output = object_linear_output.squeeze(0) score_matrix = torch.matmul(subject_linear_output, object_linear_output.transpose(0, 1)) score_matrix = score_matrix - 10000.0 * (1.0 - attention_mask) return score_matrix def sample(self, score_matrix, obj_to_img, get_entropy=True): ''' Sample the indexes of obj parents from the score matrix ''' offset = 0 all_samples = [] all_log_probs = [] all_entropy = [] obj_counts = [torch.sum(obj_to_img == i).item() for i in range(self.batch_size)] for i in range(len(obj_counts)): block_size = obj_counts[i] score_block = score_matrix[offset : offset + block_size, offset : offset + block_size] # get the categorical distribution m_block = Categorical(logits= score_block) # get samples and probs sample_block = m_block.sample() log_prob_block = m_block.log_prob(sample_block) sample_block = sample_block + offset # add offset all_samples.append(sample_block) all_log_probs.append(log_prob_block) if get_entropy: all_entropy.append(m_block.entropy()) offset += block_size all_samples = torch.cat(all_samples, dim = 0) all_log_probs = torch.cat(all_log_probs, dim = 0) if get_entropy: all_entropy = torch.cat(all_entropy, dim = 0) return all_samples, all_log_probs, all_entropy

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61

py

Python

src/python/project/model.py

datitran/ds-concourse-ci

6b993a28178dd991cb4af5e4322aa9f814a4890b

[ "MIT" ]

2

2017-06-16T15:45:42.000Z

2018-08-06T13:55:47.000Z

src/python/project/model.py

datitran/ds-concourse-ci

6b993a28178dd991cb4af5e4322aa9f814a4890b

[ "MIT" ]

null

src/python/project/model.py

datitran/ds-concourse-ci

6b993a28178dd991cb4af5e4322aa9f814a4890b

[ "MIT" ]

1

2018-08-06T13:55:49.000Z

import numpy as np def power(x): return np.power(x, 2)

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180,814

py

Python

pyboto3/batch.py

gehad-shaat/pyboto3

4a0c2851a8bc04fb1c71c36086f7bb257e48181d

[ "MIT" ]

91

2016-12-31T11:38:37.000Z

2021-09-16T19:33:23.000Z

pyboto3/batch.py

gehad-shaat/pyboto3

4a0c2851a8bc04fb1c71c36086f7bb257e48181d

[ "MIT" ]

7

2017-01-02T18:54:23.000Z

2020-08-11T13:54:02.000Z

pyboto3/batch.py

gehad-shaat/pyboto3

4a0c2851a8bc04fb1c71c36086f7bb257e48181d

[ "MIT" ]

26

2016-12-31T13:11:00.000Z

2022-03-03T21:01:12.000Z

''' The MIT License (MIT) Copyright (c) 2016 WavyCloud Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ''' def can_paginate(operation_name=None): """ Check if an operation can be paginated. :type operation_name: string :param operation_name: The operation name. This is the same name\nas the method name on the client. For example, if the\nmethod name is create_foo, and you\'d normally invoke the\noperation as client.create_foo(**kwargs), if the\ncreate_foo operation can be paginated, you can use the\ncall client.get_paginator('create_foo'). """ pass def cancel_job(jobId=None, reason=None): """ Cancels a job in an AWS Batch job queue. Jobs that are in the SUBMITTED , PENDING , or RUNNABLE state are cancelled. Jobs that have progressed to STARTING or RUNNING are not cancelled (but the API operation still succeeds, even if no job is cancelled); these jobs must be terminated with the TerminateJob operation. See also: AWS API Documentation Exceptions Examples This example cancels a job with the specified job ID. Expected Output: :example: response = client.cancel_job( jobId='string', reason='string' ) :type jobId: string :param jobId: [REQUIRED]\nThe AWS Batch job ID of the job to cancel.\n :type reason: string :param reason: [REQUIRED]\nA message to attach to the job that explains the reason for canceling it. This message is returned by future DescribeJobs operations on the job. This message is also recorded in the AWS Batch activity logs.\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example cancels a job with the specified job ID. response = client.cancel_job( jobId='1d828f65-7a4d-42e8-996d-3b900ed59dc4', reason='Cancelling job.', ) print(response) Expected Output: { 'ResponseMetadata': { '...': '...', }, } :return: {} :returns: (dict) -- """ pass def create_compute_environment(computeEnvironmentName=None, type=None, state=None, computeResources=None, serviceRole=None): """ Creates an AWS Batch compute environment. You can create MANAGED or UNMANAGED compute environments. In a managed compute environment, AWS Batch manages the capacity and instance types of the compute resources within the environment. This is based on the compute resource specification that you define or the launch template that you specify when you create the compute environment. You can choose to use Amazon EC2 On-Demand Instances or Spot Instances in your managed compute environment. You can optionally set a maximum price so that Spot Instances only launch when the Spot Instance price is below a specified percentage of the On-Demand price. In an unmanaged compute environment, you can manage your own compute resources. This provides more compute resource configuration options, such as using a custom AMI, but you must ensure that your AMI meets the Amazon ECS container instance AMI specification. For more information, see Container Instance AMIs in the Amazon Elastic Container Service Developer Guide . After you have created your unmanaged compute environment, you can use the DescribeComputeEnvironments operation to find the Amazon ECS cluster that is associated with it. Then, manually launch your container instances into that Amazon ECS cluster. For more information, see Launching an Amazon ECS Container Instance in the Amazon Elastic Container Service Developer Guide . See also: AWS API Documentation Exceptions Examples This example creates a managed compute environment with specific C4 instance types that are launched on demand. The compute environment is called C4OnDemand. Expected Output: This example creates a managed compute environment with the M4 instance type that is launched when the Spot bid price is at or below 20% of the On-Demand price for the instance type. The compute environment is called M4Spot. Expected Output: :example: response = client.create_compute_environment( computeEnvironmentName='string', type='MANAGED'|'UNMANAGED', state='ENABLED'|'DISABLED', computeResources={ 'type': 'EC2'|'SPOT', 'allocationStrategy': 'BEST_FIT'|'BEST_FIT_PROGRESSIVE'|'SPOT_CAPACITY_OPTIMIZED', 'minvCpus': 123, 'maxvCpus': 123, 'desiredvCpus': 123, 'instanceTypes': [ 'string', ], 'imageId': 'string', 'subnets': [ 'string', ], 'securityGroupIds': [ 'string', ], 'ec2KeyPair': 'string', 'instanceRole': 'string', 'tags': { 'string': 'string' }, 'placementGroup': 'string', 'bidPercentage': 123, 'spotIamFleetRole': 'string', 'launchTemplate': { 'launchTemplateId': 'string', 'launchTemplateName': 'string', 'version': 'string' } }, serviceRole='string' ) :type computeEnvironmentName: string :param computeEnvironmentName: [REQUIRED]\nThe name for your compute environment. Up to 128 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed.\n :type type: string :param type: [REQUIRED]\nThe type of the compute environment. For more information, see Compute Environments in the AWS Batch User Guide .\n :type state: string :param state: The state of the compute environment. If the state is ENABLED , then the compute environment accepts jobs from a queue and can scale out automatically based on queues. :type computeResources: dict :param computeResources: Details of the compute resources managed by the compute environment. This parameter is required for managed compute environments. For more information, see Compute Environments in the AWS Batch User Guide .\n\ntype (string) -- [REQUIRED]The type of compute environment: EC2 or SPOT .\n\nallocationStrategy (string) --The allocation strategy to use for the compute resource in case not enough instances of the best fitting instance type can be allocated. This could be due to availability of the instance type in the region or Amazon EC2 service limits . If this is not specified, the default is BEST_FIT , which will use only the best fitting instance type, waiting for additional capacity if it\'s not available. This allocation strategy keeps costs lower but can limit scaling. If you are using Spot Fleets with BEST_FIT then the Spot Fleet IAM Role must be specified. BEST_FIT_PROGRESSIVE will select additional instance types that are large enough to meet the requirements of the jobs in the queue, with a preference for instance types with a lower cost per vCPU. SPOT_CAPACITY_OPTIMIZED is only available for Spot Instance compute resources and will select additional instance types that are large enough to meet the requirements of the jobs in the queue, with a preference for instance types that are less likely to be interrupted. For more information, see `Allocation Strategies <https://docs.aws.amazon.com/batch/latest/userguide/allocation-strategies.html >`__ in the AWS Batch User Guide .\n\nminvCpus (integer) -- [REQUIRED]The minimum number of Amazon EC2 vCPUs that an environment should maintain (even if the compute environment is DISABLED ).\n\nmaxvCpus (integer) -- [REQUIRED]The maximum number of Amazon EC2 vCPUs that an environment can reach.\n\ndesiredvCpus (integer) --The desired number of Amazon EC2 vCPUS in the compute environment.\n\ninstanceTypes (list) -- [REQUIRED]The instances types that may be launched. You can specify instance families to launch any instance type within those families (for example, c5 or p3 ), or you can specify specific sizes within a family (such as c5.8xlarge ). You can also choose optimal to pick instance types (from the C, M, and R instance families) on the fly that match the demand of your job queues.\n\n(string) --\n\n\nimageId (string) --The Amazon Machine Image (AMI) ID used for instances launched in the compute environment.\n\nsubnets (list) -- [REQUIRED]The VPC subnets into which the compute resources are launched. For more information, see VPCs and Subnets in the Amazon VPC User Guide .\n\n(string) --\n\n\nsecurityGroupIds (list) --The Amazon EC2 security groups associated with instances launched in the compute environment. One or more security groups must be specified, either in securityGroupIds or using a launch template referenced in launchTemplate . If security groups are specified using both securityGroupIds and launchTemplate , the values in securityGroupIds will be used.\n\n(string) --\n\n\nec2KeyPair (string) --The Amazon EC2 key pair that is used for instances launched in the compute environment.\n\ninstanceRole (string) -- [REQUIRED]The Amazon ECS instance profile applied to Amazon EC2 instances in a compute environment. You can specify the short name or full Amazon Resource Name (ARN) of an instance profile. For example, `` ecsInstanceRole `` or ``arn:aws:iam::<aws_account_id> :instance-profile/ecsInstanceRole `` . For more information, see Amazon ECS Instance Role in the AWS Batch User Guide .\n\ntags (dict) --Key-value pair tags to be applied to resources that are launched in the compute environment. For AWS Batch, these take the form of 'String1': 'String2', where String1 is the tag key and String2 is the tag value\xe2\x80\x94for example, { 'Name': 'AWS Batch Instance - C4OnDemand' }.\n\n(string) --\n(string) --\n\n\n\n\nplacementGroup (string) --The Amazon EC2 placement group to associate with your compute resources. If you intend to submit multi-node parallel jobs to your compute environment, you should consider creating a cluster placement group and associate it with your compute resources. This keeps your multi-node parallel job on a logical grouping of instances within a single Availability Zone with high network flow potential. For more information, see Placement Groups in the Amazon EC2 User Guide for Linux Instances .\n\nbidPercentage (integer) --The maximum percentage that a Spot Instance price can be when compared with the On-Demand price for that instance type before instances are launched. For example, if your maximum percentage is 20%, then the Spot price must be below 20% of the current On-Demand price for that Amazon EC2 instance. You always pay the lowest (market) price and never more than your maximum percentage. If you leave this field empty, the default value is 100% of the On-Demand price.\n\nspotIamFleetRole (string) --The Amazon Resource Name (ARN) of the Amazon EC2 Spot Fleet IAM role applied to a SPOT compute environment. This role is required if the allocation strategy set to BEST_FIT or if the allocation strategy is not specified. For more information, see Amazon EC2 Spot Fleet Role in the AWS Batch User Guide .\n\nlaunchTemplate (dict) --The launch template to use for your compute resources. Any other compute resource parameters that you specify in a CreateComputeEnvironment API operation override the same parameters in the launch template. You must specify either the launch template ID or launch template name in the request, but not both. For more information, see Launch Template Support in the AWS Batch User Guide .\n\nlaunchTemplateId (string) --The ID of the launch template.\n\nlaunchTemplateName (string) --The name of the launch template.\n\nversion (string) --The version number of the launch template.\nDefault: The default version of the launch template.\n\n\n\n\n :type serviceRole: string :param serviceRole: [REQUIRED]\nThe full Amazon Resource Name (ARN) of the IAM role that allows AWS Batch to make calls to other AWS services on your behalf.\nIf your specified role has a path other than / , then you must either specify the full role ARN (this is recommended) or prefix the role name with the path.\n\nNote\nDepending on how you created your AWS Batch service role, its ARN may contain the service-role path prefix. When you only specify the name of the service role, AWS Batch assumes that your ARN does not use the service-role path prefix. Because of this, we recommend that you specify the full ARN of your service role when you create compute environments.\n\n :rtype: dict ReturnsResponse Syntax { 'computeEnvironmentName': 'string', 'computeEnvironmentArn': 'string' } Response Structure (dict) -- computeEnvironmentName (string) -- The name of the compute environment. computeEnvironmentArn (string) -- The Amazon Resource Name (ARN) of the compute environment. Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example creates a managed compute environment with specific C4 instance types that are launched on demand. The compute environment is called C4OnDemand. response = client.create_compute_environment( type='MANAGED', computeEnvironmentName='C4OnDemand', computeResources={ 'type': 'EC2', 'desiredvCpus': 48, 'ec2KeyPair': 'id_rsa', 'instanceRole': 'ecsInstanceRole', 'instanceTypes': [ 'c4.large', 'c4.xlarge', 'c4.2xlarge', 'c4.4xlarge', 'c4.8xlarge', ], 'maxvCpus': 128, 'minvCpus': 0, 'securityGroupIds': [ 'sg-cf5093b2', ], 'subnets': [ 'subnet-220c0e0a', 'subnet-1a95556d', 'subnet-978f6dce', ], 'tags': { 'Name': 'Batch Instance - C4OnDemand', }, }, serviceRole='arn:aws:iam::012345678910:role/AWSBatchServiceRole', state='ENABLED', ) print(response) Expected Output: { 'computeEnvironmentArn': 'arn:aws:batch:us-east-1:012345678910:compute-environment/C4OnDemand', 'computeEnvironmentName': 'C4OnDemand', 'ResponseMetadata': { '...': '...', }, } This example creates a managed compute environment with the M4 instance type that is launched when the Spot bid price is at or below 20% of the On-Demand price for the instance type. The compute environment is called M4Spot. response = client.create_compute_environment( type='MANAGED', computeEnvironmentName='M4Spot', computeResources={ 'type': 'SPOT', 'bidPercentage': 20, 'desiredvCpus': 4, 'ec2KeyPair': 'id_rsa', 'instanceRole': 'ecsInstanceRole', 'instanceTypes': [ 'm4', ], 'maxvCpus': 128, 'minvCpus': 0, 'securityGroupIds': [ 'sg-cf5093b2', ], 'spotIamFleetRole': 'arn:aws:iam::012345678910:role/aws-ec2-spot-fleet-role', 'subnets': [ 'subnet-220c0e0a', 'subnet-1a95556d', 'subnet-978f6dce', ], 'tags': { 'Name': 'Batch Instance - M4Spot', }, }, serviceRole='arn:aws:iam::012345678910:role/AWSBatchServiceRole', state='ENABLED', ) print(response) Expected Output: { 'computeEnvironmentArn': 'arn:aws:batch:us-east-1:012345678910:compute-environment/M4Spot', 'computeEnvironmentName': 'M4Spot', 'ResponseMetadata': { '...': '...', }, } :return: { 'computeEnvironmentName': 'string', 'computeEnvironmentArn': 'string' } :returns: computeEnvironmentName (string) -- [REQUIRED] The name for your compute environment. Up to 128 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed. type (string) -- [REQUIRED] The type of the compute environment. For more information, see Compute Environments in the AWS Batch User Guide . state (string) -- The state of the compute environment. If the state is ENABLED , then the compute environment accepts jobs from a queue and can scale out automatically based on queues. computeResources (dict) -- Details of the compute resources managed by the compute environment. This parameter is required for managed compute environments. For more information, see Compute Environments in the AWS Batch User Guide . type (string) -- [REQUIRED]The type of compute environment: EC2 or SPOT . allocationStrategy (string) --The allocation strategy to use for the compute resource in case not enough instances of the best fitting instance type can be allocated. This could be due to availability of the instance type in the region or Amazon EC2 service limits . If this is not specified, the default is BEST_FIT , which will use only the best fitting instance type, waiting for additional capacity if it\'s not available. This allocation strategy keeps costs lower but can limit scaling. If you are using Spot Fleets with BEST_FIT then the Spot Fleet IAM Role must be specified. BEST_FIT_PROGRESSIVE will select additional instance types that are large enough to meet the requirements of the jobs in the queue, with a preference for instance types with a lower cost per vCPU. SPOT_CAPACITY_OPTIMIZED is only available for Spot Instance compute resources and will select additional instance types that are large enough to meet the requirements of the jobs in the queue, with a preference for instance types that are less likely to be interrupted. For more information, see `Allocation Strategies <https://docs.aws.amazon.com/batch/latest/userguide/allocation-strategies.html >`__ in the AWS Batch User Guide . minvCpus (integer) -- [REQUIRED]The minimum number of Amazon EC2 vCPUs that an environment should maintain (even if the compute environment is DISABLED ). maxvCpus (integer) -- [REQUIRED]The maximum number of Amazon EC2 vCPUs that an environment can reach. desiredvCpus (integer) --The desired number of Amazon EC2 vCPUS in the compute environment. instanceTypes (list) -- [REQUIRED]The instances types that may be launched. You can specify instance families to launch any instance type within those families (for example, c5 or p3 ), or you can specify specific sizes within a family (such as c5.8xlarge ). You can also choose optimal to pick instance types (from the C, M, and R instance families) on the fly that match the demand of your job queues. (string) -- imageId (string) --The Amazon Machine Image (AMI) ID used for instances launched in the compute environment. subnets (list) -- [REQUIRED]The VPC subnets into which the compute resources are launched. For more information, see VPCs and Subnets in the Amazon VPC User Guide . (string) -- securityGroupIds (list) --The Amazon EC2 security groups associated with instances launched in the compute environment. One or more security groups must be specified, either in securityGroupIds or using a launch template referenced in launchTemplate . If security groups are specified using both securityGroupIds and launchTemplate , the values in securityGroupIds will be used. (string) -- ec2KeyPair (string) --The Amazon EC2 key pair that is used for instances launched in the compute environment. instanceRole (string) -- [REQUIRED]The Amazon ECS instance profile applied to Amazon EC2 instances in a compute environment. You can specify the short name or full Amazon Resource Name (ARN) of an instance profile. For example, `` ecsInstanceRole `` or ``arn:aws:iam::<aws_account_id> :instance-profile/ecsInstanceRole `` . For more information, see Amazon ECS Instance Role in the AWS Batch User Guide . tags (dict) --Key-value pair tags to be applied to resources that are launched in the compute environment. For AWS Batch, these take the form of "String1": "String2", where String1 is the tag key and String2 is the tag value\xe2\x80\x94for example, { "Name": "AWS Batch Instance - C4OnDemand" }. (string) -- (string) -- placementGroup (string) --The Amazon EC2 placement group to associate with your compute resources. If you intend to submit multi-node parallel jobs to your compute environment, you should consider creating a cluster placement group and associate it with your compute resources. This keeps your multi-node parallel job on a logical grouping of instances within a single Availability Zone with high network flow potential. For more information, see Placement Groups in the Amazon EC2 User Guide for Linux Instances . bidPercentage (integer) --The maximum percentage that a Spot Instance price can be when compared with the On-Demand price for that instance type before instances are launched. For example, if your maximum percentage is 20%, then the Spot price must be below 20% of the current On-Demand price for that Amazon EC2 instance. You always pay the lowest (market) price and never more than your maximum percentage. If you leave this field empty, the default value is 100% of the On-Demand price. spotIamFleetRole (string) --The Amazon Resource Name (ARN) of the Amazon EC2 Spot Fleet IAM role applied to a SPOT compute environment. This role is required if the allocation strategy set to BEST_FIT or if the allocation strategy is not specified. For more information, see Amazon EC2 Spot Fleet Role in the AWS Batch User Guide . launchTemplate (dict) --The launch template to use for your compute resources. Any other compute resource parameters that you specify in a CreateComputeEnvironment API operation override the same parameters in the launch template. You must specify either the launch template ID or launch template name in the request, but not both. For more information, see Launch Template Support in the AWS Batch User Guide . launchTemplateId (string) --The ID of the launch template. launchTemplateName (string) --The name of the launch template. version (string) --The version number of the launch template. Default: The default version of the launch template. serviceRole (string) -- [REQUIRED] The full Amazon Resource Name (ARN) of the IAM role that allows AWS Batch to make calls to other AWS services on your behalf. If your specified role has a path other than / , then you must either specify the full role ARN (this is recommended) or prefix the role name with the path. Note Depending on how you created your AWS Batch service role, its ARN may contain the service-role path prefix. When you only specify the name of the service role, AWS Batch assumes that your ARN does not use the service-role path prefix. Because of this, we recommend that you specify the full ARN of your service role when you create compute environments. """ pass def create_job_queue(jobQueueName=None, state=None, priority=None, computeEnvironmentOrder=None): """ Creates an AWS Batch job queue. When you create a job queue, you associate one or more compute environments to the queue and assign an order of preference for the compute environments. You also set a priority to the job queue that determines the order in which the AWS Batch scheduler places jobs onto its associated compute environments. For example, if a compute environment is associated with more than one job queue, the job queue with a higher priority is given preference for scheduling jobs to that compute environment. See also: AWS API Documentation Exceptions Examples This example creates a job queue called LowPriority that uses the M4Spot compute environment. Expected Output: This example creates a job queue called HighPriority that uses the C4OnDemand compute environment with an order of 1 and the M4Spot compute environment with an order of 2. Expected Output: :example: response = client.create_job_queue( jobQueueName='string', state='ENABLED'|'DISABLED', priority=123, computeEnvironmentOrder=[ { 'order': 123, 'computeEnvironment': 'string' }, ] ) :type jobQueueName: string :param jobQueueName: [REQUIRED]\nThe name of the job queue.\n :type state: string :param state: The state of the job queue. If the job queue state is ENABLED , it is able to accept jobs. :type priority: integer :param priority: [REQUIRED]\nThe priority of the job queue. Job queues with a higher priority (or a higher integer value for the priority parameter) are evaluated first when associated with the same compute environment. Priority is determined in descending order, for example, a job queue with a priority value of 10 is given scheduling preference over a job queue with a priority value of 1 .\n :type computeEnvironmentOrder: list :param computeEnvironmentOrder: [REQUIRED]\nThe set of compute environments mapped to a job queue and their order relative to each other. The job scheduler uses this parameter to determine which compute environment should execute a given job. Compute environments must be in the VALID state before you can associate them with a job queue. You can associate up to three compute environments with a job queue.\n\n(dict) --The order in which compute environments are tried for job placement within a queue. Compute environments are tried in ascending order. For example, if two compute environments are associated with a job queue, the compute environment with a lower order integer value is tried for job placement first.\n\norder (integer) -- [REQUIRED]The order of the compute environment.\n\ncomputeEnvironment (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the compute environment.\n\n\n\n\n :rtype: dict ReturnsResponse Syntax { 'jobQueueName': 'string', 'jobQueueArn': 'string' } Response Structure (dict) -- jobQueueName (string) -- The name of the job queue. jobQueueArn (string) -- The Amazon Resource Name (ARN) of the job queue. Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example creates a job queue called LowPriority that uses the M4Spot compute environment. response = client.create_job_queue( computeEnvironmentOrder=[ { 'computeEnvironment': 'M4Spot', 'order': 1, }, ], jobQueueName='LowPriority', priority=1, state='ENABLED', ) print(response) Expected Output: { 'jobQueueArn': 'arn:aws:batch:us-east-1:012345678910:job-queue/LowPriority', 'jobQueueName': 'LowPriority', 'ResponseMetadata': { '...': '...', }, } This example creates a job queue called HighPriority that uses the C4OnDemand compute environment with an order of 1 and the M4Spot compute environment with an order of 2. response = client.create_job_queue( computeEnvironmentOrder=[ { 'computeEnvironment': 'C4OnDemand', 'order': 1, }, { 'computeEnvironment': 'M4Spot', 'order': 2, }, ], jobQueueName='HighPriority', priority=10, state='ENABLED', ) print(response) Expected Output: { 'jobQueueArn': 'arn:aws:batch:us-east-1:012345678910:job-queue/HighPriority', 'jobQueueName': 'HighPriority', 'ResponseMetadata': { '...': '...', }, } :return: { 'jobQueueName': 'string', 'jobQueueArn': 'string' } :returns: Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException """ pass def delete_compute_environment(computeEnvironment=None): """ Deletes an AWS Batch compute environment. Before you can delete a compute environment, you must set its state to DISABLED with the UpdateComputeEnvironment API operation and disassociate it from any job queues with the UpdateJobQueue API operation. See also: AWS API Documentation Exceptions Examples This example deletes the P2OnDemand compute environment. Expected Output: :example: response = client.delete_compute_environment( computeEnvironment='string' ) :type computeEnvironment: string :param computeEnvironment: [REQUIRED]\nThe name or Amazon Resource Name (ARN) of the compute environment to delete.\n :rtype: dict ReturnsResponse Syntax{} Response Structure (dict) -- Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example deletes the P2OnDemand compute environment. response = client.delete_compute_environment( computeEnvironment='P2OnDemand', ) print(response) Expected Output: { 'ResponseMetadata': { '...': '...', }, } :return: {} :returns: Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException """ pass def delete_job_queue(jobQueue=None): """ Deletes the specified job queue. You must first disable submissions for a queue with the UpdateJobQueue operation. All jobs in the queue are terminated when you delete a job queue. It is not necessary to disassociate compute environments from a queue before submitting a DeleteJobQueue request. See also: AWS API Documentation Exceptions Examples This example deletes the GPGPU job queue. Expected Output: :example: response = client.delete_job_queue( jobQueue='string' ) :type jobQueue: string :param jobQueue: [REQUIRED]\nThe short name or full Amazon Resource Name (ARN) of the queue to delete.\n :rtype: dict ReturnsResponse Syntax{} Response Structure (dict) -- Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example deletes the GPGPU job queue. response = client.delete_job_queue( jobQueue='GPGPU', ) print(response) Expected Output: { 'ResponseMetadata': { '...': '...', }, } :return: {} :returns: Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException """ pass def deregister_job_definition(jobDefinition=None): """ Deregisters an AWS Batch job definition. Job definitions will be permanently deleted after 180 days. See also: AWS API Documentation Exceptions Examples This example deregisters a job definition called sleep10. Expected Output: :example: response = client.deregister_job_definition( jobDefinition='string' ) :type jobDefinition: string :param jobDefinition: [REQUIRED]\nThe name and revision (name:revision ) or full Amazon Resource Name (ARN) of the job definition to deregister.\n :rtype: dict ReturnsResponse Syntax{} Response Structure (dict) -- Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example deregisters a job definition called sleep10. response = client.deregister_job_definition( jobDefinition='sleep10', ) print(response) Expected Output: { 'ResponseMetadata': { '...': '...', }, } :return: {} :returns: Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException """ pass def describe_compute_environments(computeEnvironments=None, maxResults=None, nextToken=None): """ Describes one or more of your compute environments. If you are using an unmanaged compute environment, you can use the DescribeComputeEnvironment operation to determine the ecsClusterArn that you should launch your Amazon ECS container instances into. See also: AWS API Documentation Exceptions Examples This example describes the P2OnDemand compute environment. Expected Output: :example: response = client.describe_compute_environments( computeEnvironments=[ 'string', ], maxResults=123, nextToken='string' ) :type computeEnvironments: list :param computeEnvironments: A list of up to 100 compute environment names or full Amazon Resource Name (ARN) entries.\n\n(string) --\n\n :type maxResults: integer :param maxResults: The maximum number of cluster results returned by DescribeComputeEnvironments in paginated output. When this parameter is used, DescribeComputeEnvironments only returns maxResults results in a single page along with a nextToken response element. The remaining results of the initial request can be seen by sending another DescribeComputeEnvironments request with the returned nextToken value. This value can be between 1 and 100. If this parameter is not used, then DescribeComputeEnvironments returns up to 100 results and a nextToken value if applicable. :type nextToken: string :param nextToken: The nextToken value returned from a previous paginated DescribeComputeEnvironments request where maxResults was used and the results exceeded the value of that parameter. Pagination continues from the end of the previous results that returned the nextToken value. This value is null when there are no more results to return.\n\nNote\nThis token should be treated as an opaque identifier that is only used to retrieve the next items in a list and not for other programmatic purposes.\n\n :rtype: dict ReturnsResponse Syntax { 'computeEnvironments': [ { 'computeEnvironmentName': 'string', 'computeEnvironmentArn': 'string', 'ecsClusterArn': 'string', 'type': 'MANAGED'|'UNMANAGED', 'state': 'ENABLED'|'DISABLED', 'status': 'CREATING'|'UPDATING'|'DELETING'|'DELETED'|'VALID'|'INVALID', 'statusReason': 'string', 'computeResources': { 'type': 'EC2'|'SPOT', 'allocationStrategy': 'BEST_FIT'|'BEST_FIT_PROGRESSIVE'|'SPOT_CAPACITY_OPTIMIZED', 'minvCpus': 123, 'maxvCpus': 123, 'desiredvCpus': 123, 'instanceTypes': [ 'string', ], 'imageId': 'string', 'subnets': [ 'string', ], 'securityGroupIds': [ 'string', ], 'ec2KeyPair': 'string', 'instanceRole': 'string', 'tags': { 'string': 'string' }, 'placementGroup': 'string', 'bidPercentage': 123, 'spotIamFleetRole': 'string', 'launchTemplate': { 'launchTemplateId': 'string', 'launchTemplateName': 'string', 'version': 'string' } }, 'serviceRole': 'string' }, ], 'nextToken': 'string' } Response Structure (dict) -- computeEnvironments (list) -- The list of compute environments. (dict) -- An object representing an AWS Batch compute environment. computeEnvironmentName (string) -- The name of the compute environment. computeEnvironmentArn (string) -- The Amazon Resource Name (ARN) of the compute environment. ecsClusterArn (string) -- The Amazon Resource Name (ARN) of the underlying Amazon ECS cluster used by the compute environment. type (string) -- The type of the compute environment. state (string) -- The state of the compute environment. The valid values are ENABLED or DISABLED . If the state is ENABLED , then the AWS Batch scheduler can attempt to place jobs from an associated job queue on the compute resources within the environment. If the compute environment is managed, then it can scale its instances out or in automatically, based on the job queue demand. If the state is DISABLED , then the AWS Batch scheduler does not attempt to place jobs within the environment. Jobs in a STARTING or RUNNING state continue to progress normally. Managed compute environments in the DISABLED state do not scale out. However, they scale in to minvCpus value after instances become idle. status (string) -- The current status of the compute environment (for example, CREATING or VALID ). statusReason (string) -- A short, human-readable string to provide additional details about the current status of the compute environment. computeResources (dict) -- The compute resources defined for the compute environment. type (string) -- The type of compute environment: EC2 or SPOT . allocationStrategy (string) -- The allocation strategy to use for the compute resource in case not enough instances of the best fitting instance type can be allocated. This could be due to availability of the instance type in the region or Amazon EC2 service limits . If this is not specified, the default is BEST_FIT , which will use only the best fitting instance type, waiting for additional capacity if it\'s not available. This allocation strategy keeps costs lower but can limit scaling. If you are using Spot Fleets with BEST_FIT then the Spot Fleet IAM Role must be specified. BEST_FIT_PROGRESSIVE will select additional instance types that are large enough to meet the requirements of the jobs in the queue, with a preference for instance types with a lower cost per vCPU. SPOT_CAPACITY_OPTIMIZED is only available for Spot Instance compute resources and will select additional instance types that are large enough to meet the requirements of the jobs in the queue, with a preference for instance types that are less likely to be interrupted. For more information, see `Allocation Strategies <https://docs.aws.amazon.com/batch/latest/userguide/allocation-strategies.html >`__ in the AWS Batch User Guide . minvCpus (integer) -- The minimum number of Amazon EC2 vCPUs that an environment should maintain (even if the compute environment is DISABLED ). maxvCpus (integer) -- The maximum number of Amazon EC2 vCPUs that an environment can reach. desiredvCpus (integer) -- The desired number of Amazon EC2 vCPUS in the compute environment. instanceTypes (list) -- The instances types that may be launched. You can specify instance families to launch any instance type within those families (for example, c5 or p3 ), or you can specify specific sizes within a family (such as c5.8xlarge ). You can also choose optimal to pick instance types (from the C, M, and R instance families) on the fly that match the demand of your job queues. (string) -- imageId (string) -- The Amazon Machine Image (AMI) ID used for instances launched in the compute environment. subnets (list) -- The VPC subnets into which the compute resources are launched. For more information, see VPCs and Subnets in the Amazon VPC User Guide . (string) -- securityGroupIds (list) -- The Amazon EC2 security groups associated with instances launched in the compute environment. One or more security groups must be specified, either in securityGroupIds or using a launch template referenced in launchTemplate . If security groups are specified using both securityGroupIds and launchTemplate , the values in securityGroupIds will be used. (string) -- ec2KeyPair (string) -- The Amazon EC2 key pair that is used for instances launched in the compute environment. instanceRole (string) -- The Amazon ECS instance profile applied to Amazon EC2 instances in a compute environment. You can specify the short name or full Amazon Resource Name (ARN) of an instance profile. For example, `` ecsInstanceRole `` or ``arn:aws:iam::<aws_account_id> :instance-profile/ecsInstanceRole `` . For more information, see Amazon ECS Instance Role in the AWS Batch User Guide . tags (dict) -- Key-value pair tags to be applied to resources that are launched in the compute environment. For AWS Batch, these take the form of "String1": "String2", where String1 is the tag key and String2 is the tag value\xe2\x80\x94for example, { "Name": "AWS Batch Instance - C4OnDemand" }. (string) -- (string) -- placementGroup (string) -- The Amazon EC2 placement group to associate with your compute resources. If you intend to submit multi-node parallel jobs to your compute environment, you should consider creating a cluster placement group and associate it with your compute resources. This keeps your multi-node parallel job on a logical grouping of instances within a single Availability Zone with high network flow potential. For more information, see Placement Groups in the Amazon EC2 User Guide for Linux Instances . bidPercentage (integer) -- The maximum percentage that a Spot Instance price can be when compared with the On-Demand price for that instance type before instances are launched. For example, if your maximum percentage is 20%, then the Spot price must be below 20% of the current On-Demand price for that Amazon EC2 instance. You always pay the lowest (market) price and never more than your maximum percentage. If you leave this field empty, the default value is 100% of the On-Demand price. spotIamFleetRole (string) -- The Amazon Resource Name (ARN) of the Amazon EC2 Spot Fleet IAM role applied to a SPOT compute environment. This role is required if the allocation strategy set to BEST_FIT or if the allocation strategy is not specified. For more information, see Amazon EC2 Spot Fleet Role in the AWS Batch User Guide . launchTemplate (dict) -- The launch template to use for your compute resources. Any other compute resource parameters that you specify in a CreateComputeEnvironment API operation override the same parameters in the launch template. You must specify either the launch template ID or launch template name in the request, but not both. For more information, see Launch Template Support in the AWS Batch User Guide . launchTemplateId (string) -- The ID of the launch template. launchTemplateName (string) -- The name of the launch template. version (string) -- The version number of the launch template. Default: The default version of the launch template. serviceRole (string) -- The service role associated with the compute environment that allows AWS Batch to make calls to AWS API operations on your behalf. nextToken (string) -- The nextToken value to include in a future DescribeComputeEnvironments request. When the results of a DescribeJobDefinitions request exceed maxResults , this value can be used to retrieve the next page of results. This value is null when there are no more results to return. Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example describes the P2OnDemand compute environment. response = client.describe_compute_environments( computeEnvironments=[ 'P2OnDemand', ], ) print(response) Expected Output: { 'computeEnvironments': [ { 'type': 'MANAGED', 'computeEnvironmentArn': 'arn:aws:batch:us-east-1:012345678910:compute-environment/P2OnDemand', 'computeEnvironmentName': 'P2OnDemand', 'computeResources': { 'type': 'EC2', 'desiredvCpus': 48, 'ec2KeyPair': 'id_rsa', 'instanceRole': 'ecsInstanceRole', 'instanceTypes': [ 'p2', ], 'maxvCpus': 128, 'minvCpus': 0, 'securityGroupIds': [ 'sg-cf5093b2', ], 'subnets': [ 'subnet-220c0e0a', 'subnet-1a95556d', 'subnet-978f6dce', ], 'tags': { 'Name': 'Batch Instance - P2OnDemand', }, }, 'ecsClusterArn': 'arn:aws:ecs:us-east-1:012345678910:cluster/P2OnDemand_Batch_2c06f29d-d1fe-3a49-879d-42394c86effc', 'serviceRole': 'arn:aws:iam::012345678910:role/AWSBatchServiceRole', 'state': 'ENABLED', 'status': 'VALID', 'statusReason': 'ComputeEnvironment Healthy', }, ], 'ResponseMetadata': { '...': '...', }, } :return: { 'computeEnvironments': [ { 'computeEnvironmentName': 'string', 'computeEnvironmentArn': 'string', 'ecsClusterArn': 'string', 'type': 'MANAGED'|'UNMANAGED', 'state': 'ENABLED'|'DISABLED', 'status': 'CREATING'|'UPDATING'|'DELETING'|'DELETED'|'VALID'|'INVALID', 'statusReason': 'string', 'computeResources': { 'type': 'EC2'|'SPOT', 'allocationStrategy': 'BEST_FIT'|'BEST_FIT_PROGRESSIVE'|'SPOT_CAPACITY_OPTIMIZED', 'minvCpus': 123, 'maxvCpus': 123, 'desiredvCpus': 123, 'instanceTypes': [ 'string', ], 'imageId': 'string', 'subnets': [ 'string', ], 'securityGroupIds': [ 'string', ], 'ec2KeyPair': 'string', 'instanceRole': 'string', 'tags': { 'string': 'string' }, 'placementGroup': 'string', 'bidPercentage': 123, 'spotIamFleetRole': 'string', 'launchTemplate': { 'launchTemplateId': 'string', 'launchTemplateName': 'string', 'version': 'string' } }, 'serviceRole': 'string' }, ], 'nextToken': 'string' } :returns: (string) -- """ pass def describe_job_definitions(jobDefinitions=None, maxResults=None, jobDefinitionName=None, status=None, nextToken=None): """ Describes a list of job definitions. You can specify a status (such as ACTIVE ) to only return job definitions that match that status. See also: AWS API Documentation Exceptions Examples This example describes all of your active job definitions. Expected Output: :example: response = client.describe_job_definitions( jobDefinitions=[ 'string', ], maxResults=123, jobDefinitionName='string', status='string', nextToken='string' ) :type jobDefinitions: list :param jobDefinitions: A list of up to 100 job definition names or full Amazon Resource Name (ARN) entries.\n\n(string) --\n\n :type maxResults: integer :param maxResults: The maximum number of results returned by DescribeJobDefinitions in paginated output. When this parameter is used, DescribeJobDefinitions only returns maxResults results in a single page along with a nextToken response element. The remaining results of the initial request can be seen by sending another DescribeJobDefinitions request with the returned nextToken value. This value can be between 1 and 100. If this parameter is not used, then DescribeJobDefinitions returns up to 100 results and a nextToken value if applicable. :type jobDefinitionName: string :param jobDefinitionName: The name of the job definition to describe. :type status: string :param status: The status with which to filter job definitions. :type nextToken: string :param nextToken: The nextToken value returned from a previous paginated DescribeJobDefinitions request where maxResults was used and the results exceeded the value of that parameter. Pagination continues from the end of the previous results that returned the nextToken value. This value is null when there are no more results to return.\n\nNote\nThis token should be treated as an opaque identifier that is only used to retrieve the next items in a list and not for other programmatic purposes.\n\n :rtype: dict ReturnsResponse Syntax { 'jobDefinitions': [ { 'jobDefinitionName': 'string', 'jobDefinitionArn': 'string', 'revision': 123, 'status': 'string', 'type': 'string', 'parameters': { 'string': 'string' }, 'retryStrategy': { 'attempts': 123 }, 'containerProperties': { 'image': 'string', 'vcpus': 123, 'memory': 123, 'command': [ 'string', ], 'jobRoleArn': 'string', 'volumes': [ { 'host': { 'sourcePath': 'string' }, 'name': 'string' }, ], 'environment': [ { 'name': 'string', 'value': 'string' }, ], 'mountPoints': [ { 'containerPath': 'string', 'readOnly': True|False, 'sourceVolume': 'string' }, ], 'readonlyRootFilesystem': True|False, 'privileged': True|False, 'ulimits': [ { 'hardLimit': 123, 'name': 'string', 'softLimit': 123 }, ], 'user': 'string', 'instanceType': 'string', 'resourceRequirements': [ { 'value': 'string', 'type': 'GPU' }, ], 'linuxParameters': { 'devices': [ { 'hostPath': 'string', 'containerPath': 'string', 'permissions': [ 'READ'|'WRITE'|'MKNOD', ] }, ] } }, 'timeout': { 'attemptDurationSeconds': 123 }, 'nodeProperties': { 'numNodes': 123, 'mainNode': 123, 'nodeRangeProperties': [ { 'targetNodes': 'string', 'container': { 'image': 'string', 'vcpus': 123, 'memory': 123, 'command': [ 'string', ], 'jobRoleArn': 'string', 'volumes': [ { 'host': { 'sourcePath': 'string' }, 'name': 'string' }, ], 'environment': [ { 'name': 'string', 'value': 'string' }, ], 'mountPoints': [ { 'containerPath': 'string', 'readOnly': True|False, 'sourceVolume': 'string' }, ], 'readonlyRootFilesystem': True|False, 'privileged': True|False, 'ulimits': [ { 'hardLimit': 123, 'name': 'string', 'softLimit': 123 }, ], 'user': 'string', 'instanceType': 'string', 'resourceRequirements': [ { 'value': 'string', 'type': 'GPU' }, ], 'linuxParameters': { 'devices': [ { 'hostPath': 'string', 'containerPath': 'string', 'permissions': [ 'READ'|'WRITE'|'MKNOD', ] }, ] } } }, ] } }, ], 'nextToken': 'string' } Response Structure (dict) -- jobDefinitions (list) -- The list of job definitions. (dict) -- An object representing an AWS Batch job definition. jobDefinitionName (string) -- The name of the job definition. jobDefinitionArn (string) -- The Amazon Resource Name (ARN) for the job definition. revision (integer) -- The revision of the job definition. status (string) -- The status of the job definition. type (string) -- The type of job definition. parameters (dict) -- Default parameters or parameter substitution placeholders that are set in the job definition. Parameters are specified as a key-value pair mapping. Parameters in a SubmitJob request override any corresponding parameter defaults from the job definition. For more information about specifying parameters, see Job Definition Parameters in the AWS Batch User Guide . (string) -- (string) -- retryStrategy (dict) -- The retry strategy to use for failed jobs that are submitted with this job definition. attempts (integer) -- The number of times to move a job to the RUNNABLE status. You may specify between 1 and 10 attempts. If the value of attempts is greater than one, the job is retried on failure the same number of attempts as the value. containerProperties (dict) -- An object with various properties specific to container-based jobs. image (string) -- The image used to start a container. This string is passed directly to the Docker daemon. Images in the Docker Hub registry are available by default. Other repositories are specified with `` repository-url /image :tag `` . Up to 255 letters (uppercase and lowercase), numbers, hyphens, underscores, colons, periods, forward slashes, and number signs are allowed. This parameter maps to Image in the Create a container section of the Docker Remote API and the IMAGE parameter of docker run . Images in Amazon ECR repositories use the full registry and repository URI (for example, 012345678910.dkr.ecr.<region-name>.amazonaws.com/<repository-name> ). Images in official repositories on Docker Hub use a single name (for example, ubuntu or mongo ). Images in other repositories on Docker Hub are qualified with an organization name (for example, amazon/amazon-ecs-agent ). Images in other online repositories are qualified further by a domain name (for example, quay.io/assemblyline/ubuntu ). vcpus (integer) -- The number of vCPUs reserved for the container. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run . Each vCPU is equivalent to 1,024 CPU shares. You must specify at least one vCPU. memory (integer) -- The hard limit (in MiB) of memory to present to the container. If your container attempts to exceed the memory specified here, the container is killed. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run . You must specify at least 4 MiB of memory for a job. Note If you are trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory Management in the AWS Batch User Guide . command (list) -- The command that is passed to the container. This parameter maps to Cmd in the Create a container section of the Docker Remote API and the COMMAND parameter to docker run . For more information, see https://docs.docker.com/engine/reference/builder/#cmd . (string) -- jobRoleArn (string) -- The Amazon Resource Name (ARN) of the IAM role that the container can assume for AWS permissions. volumes (list) -- A list of data volumes used in a job. (dict) -- A data volume used in a job\'s container properties. host (dict) -- The contents of the host parameter determine whether your data volume persists on the host container instance and where it is stored. If the host parameter is empty, then the Docker daemon assigns a host path for your data volume. However, the data is not guaranteed to persist after the containers associated with it stop running. sourcePath (string) -- The path on the host container instance that is presented to the container. If this parameter is empty, then the Docker daemon has assigned a host path for you. If this parameter contains a file location, then the data volume persists at the specified location on the host container instance until you delete it manually. If the source path location does not exist on the host container instance, the Docker daemon creates it. If the location does exist, the contents of the source path folder are exported. name (string) -- The name of the volume. Up to 255 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed. This name is referenced in the sourceVolume parameter of container definition mountPoints . environment (list) -- The environment variables to pass to a container. This parameter maps to Env in the Create a container section of the Docker Remote API and the --env option to docker run . Warning We do not recommend using plaintext environment variables for sensitive information, such as credential data. Note Environment variables must not start with AWS_BATCH ; this naming convention is reserved for variables that are set by the AWS Batch service. (dict) -- A key-value pair object. name (string) -- The name of the key-value pair. For environment variables, this is the name of the environment variable. value (string) -- The value of the key-value pair. For environment variables, this is the value of the environment variable. mountPoints (list) -- The mount points for data volumes in your container. This parameter maps to Volumes in the Create a container section of the Docker Remote API and the --volume option to docker run . (dict) -- Details on a Docker volume mount point that is used in a job\'s container properties. This parameter maps to Volumes in the Create a container section of the Docker Remote API and the --volume option to docker run. containerPath (string) -- The path on the container at which to mount the host volume. readOnly (boolean) -- If this value is true , the container has read-only access to the volume; otherwise, the container can write to the volume. The default value is false . sourceVolume (string) -- The name of the volume to mount. readonlyRootFilesystem (boolean) -- When this parameter is true, the container is given read-only access to its root file system. This parameter maps to ReadonlyRootfs in the Create a container section of the Docker Remote API and the --read-only option to docker run . privileged (boolean) -- When this parameter is true, the container is given elevated privileges on the host container instance (similar to the root user). This parameter maps to Privileged in the Create a container section of the Docker Remote API and the --privileged option to docker run . ulimits (list) -- A list of ulimits to set in the container. This parameter maps to Ulimits in the Create a container section of the Docker Remote API and the --ulimit option to docker run . (dict) -- The ulimit settings to pass to the container. hardLimit (integer) -- The hard limit for the ulimit type. name (string) -- The type of the ulimit . softLimit (integer) -- The soft limit for the ulimit type. user (string) -- The user name to use inside the container. This parameter maps to User in the Create a container section of the Docker Remote API and the --user option to docker run . instanceType (string) -- The instance type to use for a multi-node parallel job. Currently all node groups in a multi-node parallel job must use the same instance type. This parameter is not valid for single-node container jobs. resourceRequirements (list) -- The type and amount of a resource to assign to a container. Currently, the only supported resource is GPU . (dict) -- The type and amount of a resource to assign to a container. Currently, the only supported resource type is GPU . value (string) -- The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job should not exceed the number of available GPUs on the compute resource that the job is launched on. type (string) -- The type of resource to assign to a container. Currently, the only supported resource type is GPU . linuxParameters (dict) -- Linux-specific modifications that are applied to the container, such as details for device mappings. devices (list) -- Any host devices to expose to the container. This parameter maps to Devices in the Create a container section of the Docker Remote API and the --device option to docker run . (dict) -- An object representing a container instance host device. hostPath (string) -- The path for the device on the host container instance. containerPath (string) -- The path inside the container at which to expose the host device. By default the hostPath value is used. permissions (list) -- The explicit permissions to provide to the container for the device. By default, the container has permissions for read , write , and mknod for the device. (string) -- timeout (dict) -- The timeout configuration for jobs that are submitted with this job definition. You can specify a timeout duration after which AWS Batch terminates your jobs if they have not finished. attemptDurationSeconds (integer) -- The time duration in seconds (measured from the job attempt\'s startedAt timestamp) after which AWS Batch terminates your jobs if they have not finished. nodeProperties (dict) -- An object with various properties specific to multi-node parallel jobs. numNodes (integer) -- The number of nodes associated with a multi-node parallel job. mainNode (integer) -- Specifies the node index for the main node of a multi-node parallel job. This node index value must be fewer than the number of nodes. nodeRangeProperties (list) -- A list of node ranges and their properties associated with a multi-node parallel job. (dict) -- An object representing the properties of the node range for a multi-node parallel job. targetNodes (string) -- The range of nodes, using node index values. A range of 0:3 indicates nodes with index values of 0 through 3 . If the starting range value is omitted (:n ), then 0 is used to start the range. If the ending range value is omitted (n: ), then the highest possible node index is used to end the range. Your accumulative node ranges must account for all nodes (0:n). You may nest node ranges, for example 0:10 and 4:5, in which case the 4:5 range properties override the 0:10 properties. container (dict) -- The container details for the node range. image (string) -- The image used to start a container. This string is passed directly to the Docker daemon. Images in the Docker Hub registry are available by default. Other repositories are specified with `` repository-url /image :tag `` . Up to 255 letters (uppercase and lowercase), numbers, hyphens, underscores, colons, periods, forward slashes, and number signs are allowed. This parameter maps to Image in the Create a container section of the Docker Remote API and the IMAGE parameter of docker run . Images in Amazon ECR repositories use the full registry and repository URI (for example, 012345678910.dkr.ecr.<region-name>.amazonaws.com/<repository-name> ). Images in official repositories on Docker Hub use a single name (for example, ubuntu or mongo ). Images in other repositories on Docker Hub are qualified with an organization name (for example, amazon/amazon-ecs-agent ). Images in other online repositories are qualified further by a domain name (for example, quay.io/assemblyline/ubuntu ). vcpus (integer) -- The number of vCPUs reserved for the container. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run . Each vCPU is equivalent to 1,024 CPU shares. You must specify at least one vCPU. memory (integer) -- The hard limit (in MiB) of memory to present to the container. If your container attempts to exceed the memory specified here, the container is killed. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run . You must specify at least 4 MiB of memory for a job. Note If you are trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory Management in the AWS Batch User Guide . command (list) -- The command that is passed to the container. This parameter maps to Cmd in the Create a container section of the Docker Remote API and the COMMAND parameter to docker run . For more information, see https://docs.docker.com/engine/reference/builder/#cmd . (string) -- jobRoleArn (string) -- The Amazon Resource Name (ARN) of the IAM role that the container can assume for AWS permissions. volumes (list) -- A list of data volumes used in a job. (dict) -- A data volume used in a job\'s container properties. host (dict) -- The contents of the host parameter determine whether your data volume persists on the host container instance and where it is stored. If the host parameter is empty, then the Docker daemon assigns a host path for your data volume. However, the data is not guaranteed to persist after the containers associated with it stop running. sourcePath (string) -- The path on the host container instance that is presented to the container. If this parameter is empty, then the Docker daemon has assigned a host path for you. If this parameter contains a file location, then the data volume persists at the specified location on the host container instance until you delete it manually. If the source path location does not exist on the host container instance, the Docker daemon creates it. If the location does exist, the contents of the source path folder are exported. name (string) -- The name of the volume. Up to 255 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed. This name is referenced in the sourceVolume parameter of container definition mountPoints . environment (list) -- The environment variables to pass to a container. This parameter maps to Env in the Create a container section of the Docker Remote API and the --env option to docker run . Warning We do not recommend using plaintext environment variables for sensitive information, such as credential data. Note Environment variables must not start with AWS_BATCH ; this naming convention is reserved for variables that are set by the AWS Batch service. (dict) -- A key-value pair object. name (string) -- The name of the key-value pair. For environment variables, this is the name of the environment variable. value (string) -- The value of the key-value pair. For environment variables, this is the value of the environment variable. mountPoints (list) -- The mount points for data volumes in your container. This parameter maps to Volumes in the Create a container section of the Docker Remote API and the --volume option to docker run . (dict) -- Details on a Docker volume mount point that is used in a job\'s container properties. This parameter maps to Volumes in the Create a container section of the Docker Remote API and the --volume option to docker run. containerPath (string) -- The path on the container at which to mount the host volume. readOnly (boolean) -- If this value is true , the container has read-only access to the volume; otherwise, the container can write to the volume. The default value is false . sourceVolume (string) -- The name of the volume to mount. readonlyRootFilesystem (boolean) -- When this parameter is true, the container is given read-only access to its root file system. This parameter maps to ReadonlyRootfs in the Create a container section of the Docker Remote API and the --read-only option to docker run . privileged (boolean) -- When this parameter is true, the container is given elevated privileges on the host container instance (similar to the root user). This parameter maps to Privileged in the Create a container section of the Docker Remote API and the --privileged option to docker run . ulimits (list) -- A list of ulimits to set in the container. This parameter maps to Ulimits in the Create a container section of the Docker Remote API and the --ulimit option to docker run . (dict) -- The ulimit settings to pass to the container. hardLimit (integer) -- The hard limit for the ulimit type. name (string) -- The type of the ulimit . softLimit (integer) -- The soft limit for the ulimit type. user (string) -- The user name to use inside the container. This parameter maps to User in the Create a container section of the Docker Remote API and the --user option to docker run . instanceType (string) -- The instance type to use for a multi-node parallel job. Currently all node groups in a multi-node parallel job must use the same instance type. This parameter is not valid for single-node container jobs. resourceRequirements (list) -- The type and amount of a resource to assign to a container. Currently, the only supported resource is GPU . (dict) -- The type and amount of a resource to assign to a container. Currently, the only supported resource type is GPU . value (string) -- The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job should not exceed the number of available GPUs on the compute resource that the job is launched on. type (string) -- The type of resource to assign to a container. Currently, the only supported resource type is GPU . linuxParameters (dict) -- Linux-specific modifications that are applied to the container, such as details for device mappings. devices (list) -- Any host devices to expose to the container. This parameter maps to Devices in the Create a container section of the Docker Remote API and the --device option to docker run . (dict) -- An object representing a container instance host device. hostPath (string) -- The path for the device on the host container instance. containerPath (string) -- The path inside the container at which to expose the host device. By default the hostPath value is used. permissions (list) -- The explicit permissions to provide to the container for the device. By default, the container has permissions for read , write , and mknod for the device. (string) -- nextToken (string) -- The nextToken value to include in a future DescribeJobDefinitions request. When the results of a DescribeJobDefinitions request exceed maxResults , this value can be used to retrieve the next page of results. This value is null when there are no more results to return. Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example describes all of your active job definitions. response = client.describe_job_definitions( status='ACTIVE', ) print(response) Expected Output: { 'jobDefinitions': [ { 'type': 'container', 'containerProperties': { 'command': [ 'sleep', '60', ], 'environment': [ ], 'image': 'busybox', 'memory': 128, 'mountPoints': [ ], 'ulimits': [ ], 'vcpus': 1, 'volumes': [ ], }, 'jobDefinitionArn': 'arn:aws:batch:us-east-1:012345678910:job-definition/sleep60:1', 'jobDefinitionName': 'sleep60', 'revision': 1, 'status': 'ACTIVE', }, ], 'ResponseMetadata': { '...': '...', }, } :return: { 'jobDefinitions': [ { 'jobDefinitionName': 'string', 'jobDefinitionArn': 'string', 'revision': 123, 'status': 'string', 'type': 'string', 'parameters': { 'string': 'string' }, 'retryStrategy': { 'attempts': 123 }, 'containerProperties': { 'image': 'string', 'vcpus': 123, 'memory': 123, 'command': [ 'string', ], 'jobRoleArn': 'string', 'volumes': [ { 'host': { 'sourcePath': 'string' }, 'name': 'string' }, ], 'environment': [ { 'name': 'string', 'value': 'string' }, ], 'mountPoints': [ { 'containerPath': 'string', 'readOnly': True|False, 'sourceVolume': 'string' }, ], 'readonlyRootFilesystem': True|False, 'privileged': True|False, 'ulimits': [ { 'hardLimit': 123, 'name': 'string', 'softLimit': 123 }, ], 'user': 'string', 'instanceType': 'string', 'resourceRequirements': [ { 'value': 'string', 'type': 'GPU' }, ], 'linuxParameters': { 'devices': [ { 'hostPath': 'string', 'containerPath': 'string', 'permissions': [ 'READ'|'WRITE'|'MKNOD', ] }, ] } }, 'timeout': { 'attemptDurationSeconds': 123 }, 'nodeProperties': { 'numNodes': 123, 'mainNode': 123, 'nodeRangeProperties': [ { 'targetNodes': 'string', 'container': { 'image': 'string', 'vcpus': 123, 'memory': 123, 'command': [ 'string', ], 'jobRoleArn': 'string', 'volumes': [ { 'host': { 'sourcePath': 'string' }, 'name': 'string' }, ], 'environment': [ { 'name': 'string', 'value': 'string' }, ], 'mountPoints': [ { 'containerPath': 'string', 'readOnly': True|False, 'sourceVolume': 'string' }, ], 'readonlyRootFilesystem': True|False, 'privileged': True|False, 'ulimits': [ { 'hardLimit': 123, 'name': 'string', 'softLimit': 123 }, ], 'user': 'string', 'instanceType': 'string', 'resourceRequirements': [ { 'value': 'string', 'type': 'GPU' }, ], 'linuxParameters': { 'devices': [ { 'hostPath': 'string', 'containerPath': 'string', 'permissions': [ 'READ'|'WRITE'|'MKNOD', ] }, ] } } }, ] } }, ], 'nextToken': 'string' } :returns: (string) -- (string) -- """ pass def describe_job_queues(jobQueues=None, maxResults=None, nextToken=None): """ Describes one or more of your job queues. See also: AWS API Documentation Exceptions Examples This example describes the HighPriority job queue. Expected Output: :example: response = client.describe_job_queues( jobQueues=[ 'string', ], maxResults=123, nextToken='string' ) :type jobQueues: list :param jobQueues: A list of up to 100 queue names or full queue Amazon Resource Name (ARN) entries.\n\n(string) --\n\n :type maxResults: integer :param maxResults: The maximum number of results returned by DescribeJobQueues in paginated output. When this parameter is used, DescribeJobQueues only returns maxResults results in a single page along with a nextToken response element. The remaining results of the initial request can be seen by sending another DescribeJobQueues request with the returned nextToken value. This value can be between 1 and 100. If this parameter is not used, then DescribeJobQueues returns up to 100 results and a nextToken value if applicable. :type nextToken: string :param nextToken: The nextToken value returned from a previous paginated DescribeJobQueues request where maxResults was used and the results exceeded the value of that parameter. Pagination continues from the end of the previous results that returned the nextToken value. This value is null when there are no more results to return.\n\nNote\nThis token should be treated as an opaque identifier that is only used to retrieve the next items in a list and not for other programmatic purposes.\n\n :rtype: dict ReturnsResponse Syntax { 'jobQueues': [ { 'jobQueueName': 'string', 'jobQueueArn': 'string', 'state': 'ENABLED'|'DISABLED', 'status': 'CREATING'|'UPDATING'|'DELETING'|'DELETED'|'VALID'|'INVALID', 'statusReason': 'string', 'priority': 123, 'computeEnvironmentOrder': [ { 'order': 123, 'computeEnvironment': 'string' }, ] }, ], 'nextToken': 'string' } Response Structure (dict) -- jobQueues (list) -- The list of job queues. (dict) -- An object representing the details of an AWS Batch job queue. jobQueueName (string) -- The name of the job queue. jobQueueArn (string) -- The Amazon Resource Name (ARN) of the job queue. state (string) -- Describes the ability of the queue to accept new jobs. status (string) -- The status of the job queue (for example, CREATING or VALID ). statusReason (string) -- A short, human-readable string to provide additional details about the current status of the job queue. priority (integer) -- The priority of the job queue. computeEnvironmentOrder (list) -- The compute environments that are attached to the job queue and the order in which job placement is preferred. Compute environments are selected for job placement in ascending order. (dict) -- The order in which compute environments are tried for job placement within a queue. Compute environments are tried in ascending order. For example, if two compute environments are associated with a job queue, the compute environment with a lower order integer value is tried for job placement first. order (integer) -- The order of the compute environment. computeEnvironment (string) -- The Amazon Resource Name (ARN) of the compute environment. nextToken (string) -- The nextToken value to include in a future DescribeJobQueues request. When the results of a DescribeJobQueues request exceed maxResults , this value can be used to retrieve the next page of results. This value is null when there are no more results to return. Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example describes the HighPriority job queue. response = client.describe_job_queues( jobQueues=[ 'HighPriority', ], ) print(response) Expected Output: { 'jobQueues': [ { 'computeEnvironmentOrder': [ { 'computeEnvironment': 'arn:aws:batch:us-east-1:012345678910:compute-environment/C4OnDemand', 'order': 1, }, ], 'jobQueueArn': 'arn:aws:batch:us-east-1:012345678910:job-queue/HighPriority', 'jobQueueName': 'HighPriority', 'priority': 1, 'state': 'ENABLED', 'status': 'VALID', 'statusReason': 'JobQueue Healthy', }, ], 'ResponseMetadata': { '...': '...', }, } :return: { 'jobQueues': [ { 'jobQueueName': 'string', 'jobQueueArn': 'string', 'state': 'ENABLED'|'DISABLED', 'status': 'CREATING'|'UPDATING'|'DELETING'|'DELETED'|'VALID'|'INVALID', 'statusReason': 'string', 'priority': 123, 'computeEnvironmentOrder': [ { 'order': 123, 'computeEnvironment': 'string' }, ] }, ], 'nextToken': 'string' } :returns: Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException """ pass def describe_jobs(jobs=None): """ Describes a list of AWS Batch jobs. See also: AWS API Documentation Exceptions Examples This example describes a job with the specified job ID. Expected Output: :example: response = client.describe_jobs( jobs=[ 'string', ] ) :type jobs: list :param jobs: [REQUIRED]\nA list of up to 100 job IDs.\n\n(string) --\n\n :rtype: dict ReturnsResponse Syntax{ 'jobs': [ { 'jobName': 'string', 'jobId': 'string', 'jobQueue': 'string', 'status': 'SUBMITTED'|'PENDING'|'RUNNABLE'|'STARTING'|'RUNNING'|'SUCCEEDED'|'FAILED', 'attempts': [ { 'container': { 'containerInstanceArn': 'string', 'taskArn': 'string', 'exitCode': 123, 'reason': 'string', 'logStreamName': 'string', 'networkInterfaces': [ { 'attachmentId': 'string', 'ipv6Address': 'string', 'privateIpv4Address': 'string' }, ] }, 'startedAt': 123, 'stoppedAt': 123, 'statusReason': 'string' }, ], 'statusReason': 'string', 'createdAt': 123, 'retryStrategy': { 'attempts': 123 }, 'startedAt': 123, 'stoppedAt': 123, 'dependsOn': [ { 'jobId': 'string', 'type': 'N_TO_N'|'SEQUENTIAL' }, ], 'jobDefinition': 'string', 'parameters': { 'string': 'string' }, 'container': { 'image': 'string', 'vcpus': 123, 'memory': 123, 'command': [ 'string', ], 'jobRoleArn': 'string', 'volumes': [ { 'host': { 'sourcePath': 'string' }, 'name': 'string' }, ], 'environment': [ { 'name': 'string', 'value': 'string' }, ], 'mountPoints': [ { 'containerPath': 'string', 'readOnly': True|False, 'sourceVolume': 'string' }, ], 'readonlyRootFilesystem': True|False, 'ulimits': [ { 'hardLimit': 123, 'name': 'string', 'softLimit': 123 }, ], 'privileged': True|False, 'user': 'string', 'exitCode': 123, 'reason': 'string', 'containerInstanceArn': 'string', 'taskArn': 'string', 'logStreamName': 'string', 'instanceType': 'string', 'networkInterfaces': [ { 'attachmentId': 'string', 'ipv6Address': 'string', 'privateIpv4Address': 'string' }, ], 'resourceRequirements': [ { 'value': 'string', 'type': 'GPU' }, ], 'linuxParameters': { 'devices': [ { 'hostPath': 'string', 'containerPath': 'string', 'permissions': [ 'READ'|'WRITE'|'MKNOD', ] }, ] } }, 'nodeDetails': { 'nodeIndex': 123, 'isMainNode': True|False }, 'nodeProperties': { 'numNodes': 123, 'mainNode': 123, 'nodeRangeProperties': [ { 'targetNodes': 'string', 'container': { 'image': 'string', 'vcpus': 123, 'memory': 123, 'command': [ 'string', ], 'jobRoleArn': 'string', 'volumes': [ { 'host': { 'sourcePath': 'string' }, 'name': 'string' }, ], 'environment': [ { 'name': 'string', 'value': 'string' }, ], 'mountPoints': [ { 'containerPath': 'string', 'readOnly': True|False, 'sourceVolume': 'string' }, ], 'readonlyRootFilesystem': True|False, 'privileged': True|False, 'ulimits': [ { 'hardLimit': 123, 'name': 'string', 'softLimit': 123 }, ], 'user': 'string', 'instanceType': 'string', 'resourceRequirements': [ { 'value': 'string', 'type': 'GPU' }, ], 'linuxParameters': { 'devices': [ { 'hostPath': 'string', 'containerPath': 'string', 'permissions': [ 'READ'|'WRITE'|'MKNOD', ] }, ] } } }, ] }, 'arrayProperties': { 'statusSummary': { 'string': 123 }, 'size': 123, 'index': 123 }, 'timeout': { 'attemptDurationSeconds': 123 } }, ] } Response Structure (dict) -- jobs (list) --The list of jobs. (dict) --An object representing an AWS Batch job. jobName (string) --The name of the job. jobId (string) --The ID for the job. jobQueue (string) --The Amazon Resource Name (ARN) of the job queue with which the job is associated. status (string) --The current status for the job. Note If your jobs do not progress to STARTING , see Jobs Stuck in RUNNABLE Status in the troubleshooting section of the AWS Batch User Guide . attempts (list) --A list of job attempts associated with this job. (dict) --An object representing a job attempt. container (dict) --Details about the container in this job attempt. containerInstanceArn (string) --The Amazon Resource Name (ARN) of the Amazon ECS container instance that hosts the job attempt. taskArn (string) --The Amazon Resource Name (ARN) of the Amazon ECS task that is associated with the job attempt. Each container attempt receives a task ARN when they reach the STARTING status. exitCode (integer) --The exit code for the job attempt. A non-zero exit code is considered a failure. reason (string) --A short (255 max characters) human-readable string to provide additional details about a running or stopped container. logStreamName (string) --The name of the CloudWatch Logs log stream associated with the container. The log group for AWS Batch jobs is /aws/batch/job . Each container attempt receives a log stream name when they reach the RUNNING status. networkInterfaces (list) --The network interfaces associated with the job attempt. (dict) --An object representing the elastic network interface for a multi-node parallel job node. attachmentId (string) --The attachment ID for the network interface. ipv6Address (string) --The private IPv6 address for the network interface. privateIpv4Address (string) --The private IPv4 address for the network interface. startedAt (integer) --The Unix timestamp (in seconds and milliseconds) for when the attempt was started (when the attempt transitioned from the STARTING state to the RUNNING state). stoppedAt (integer) --The Unix timestamp (in seconds and milliseconds) for when the attempt was stopped (when the attempt transitioned from the RUNNING state to a terminal state, such as SUCCEEDED or FAILED ). statusReason (string) --A short, human-readable string to provide additional details about the current status of the job attempt. statusReason (string) --A short, human-readable string to provide additional details about the current status of the job. createdAt (integer) --The Unix timestamp (in seconds and milliseconds) for when the job was created. For non-array jobs and parent array jobs, this is when the job entered the SUBMITTED state (at the time SubmitJob was called). For array child jobs, this is when the child job was spawned by its parent and entered the PENDING state. retryStrategy (dict) --The retry strategy to use for this job if an attempt fails. attempts (integer) --The number of times to move a job to the RUNNABLE status. You may specify between 1 and 10 attempts. If the value of attempts is greater than one, the job is retried on failure the same number of attempts as the value. startedAt (integer) --The Unix timestamp (in seconds and milliseconds) for when the job was started (when the job transitioned from the STARTING state to the RUNNING state). stoppedAt (integer) --The Unix timestamp (in seconds and milliseconds) for when the job was stopped (when the job transitioned from the RUNNING state to a terminal state, such as SUCCEEDED or FAILED ). dependsOn (list) --A list of job IDs on which this job depends. (dict) --An object representing an AWS Batch job dependency. jobId (string) --The job ID of the AWS Batch job associated with this dependency. type (string) --The type of the job dependency. jobDefinition (string) --The job definition that is used by this job. parameters (dict) --Additional parameters passed to the job that replace parameter substitution placeholders or override any corresponding parameter defaults from the job definition. (string) -- (string) -- container (dict) --An object representing the details of the container that is associated with the job. image (string) --The image used to start the container. vcpus (integer) --The number of VCPUs allocated for the job. memory (integer) --The number of MiB of memory reserved for the job. command (list) --The command that is passed to the container. (string) -- jobRoleArn (string) --The Amazon Resource Name (ARN) associated with the job upon execution. volumes (list) --A list of volumes associated with the job. (dict) --A data volume used in a job\'s container properties. host (dict) --The contents of the host parameter determine whether your data volume persists on the host container instance and where it is stored. If the host parameter is empty, then the Docker daemon assigns a host path for your data volume. However, the data is not guaranteed to persist after the containers associated with it stop running. sourcePath (string) --The path on the host container instance that is presented to the container. If this parameter is empty, then the Docker daemon has assigned a host path for you. If this parameter contains a file location, then the data volume persists at the specified location on the host container instance until you delete it manually. If the source path location does not exist on the host container instance, the Docker daemon creates it. If the location does exist, the contents of the source path folder are exported. name (string) --The name of the volume. Up to 255 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed. This name is referenced in the sourceVolume parameter of container definition mountPoints . environment (list) --The environment variables to pass to a container. Note Environment variables must not start with AWS_BATCH ; this naming convention is reserved for variables that are set by the AWS Batch service. (dict) --A key-value pair object. name (string) --The name of the key-value pair. For environment variables, this is the name of the environment variable. value (string) --The value of the key-value pair. For environment variables, this is the value of the environment variable. mountPoints (list) --The mount points for data volumes in your container. (dict) --Details on a Docker volume mount point that is used in a job\'s container properties. This parameter maps to Volumes in the Create a container section of the Docker Remote API and the --volume option to docker run. containerPath (string) --The path on the container at which to mount the host volume. readOnly (boolean) --If this value is true , the container has read-only access to the volume; otherwise, the container can write to the volume. The default value is false . sourceVolume (string) --The name of the volume to mount. readonlyRootFilesystem (boolean) --When this parameter is true, the container is given read-only access to its root file system. ulimits (list) --A list of ulimit values to set in the container. (dict) --The ulimit settings to pass to the container. hardLimit (integer) --The hard limit for the ulimit type. name (string) --The type of the ulimit . softLimit (integer) --The soft limit for the ulimit type. privileged (boolean) --When this parameter is true, the container is given elevated privileges on the host container instance (similar to the root user). user (string) --The user name to use inside the container. exitCode (integer) --The exit code to return upon completion. reason (string) --A short (255 max characters) human-readable string to provide additional details about a running or stopped container. containerInstanceArn (string) --The Amazon Resource Name (ARN) of the container instance on which the container is running. taskArn (string) --The Amazon Resource Name (ARN) of the Amazon ECS task that is associated with the container job. Each container attempt receives a task ARN when they reach the STARTING status. logStreamName (string) --The name of the CloudWatch Logs log stream associated with the container. The log group for AWS Batch jobs is /aws/batch/job . Each container attempt receives a log stream name when they reach the RUNNING status. instanceType (string) --The instance type of the underlying host infrastructure of a multi-node parallel job. networkInterfaces (list) --The network interfaces associated with the job. (dict) --An object representing the elastic network interface for a multi-node parallel job node. attachmentId (string) --The attachment ID for the network interface. ipv6Address (string) --The private IPv6 address for the network interface. privateIpv4Address (string) --The private IPv4 address for the network interface. resourceRequirements (list) --The type and amount of a resource to assign to a container. Currently, the only supported resource is GPU . (dict) --The type and amount of a resource to assign to a container. Currently, the only supported resource type is GPU . value (string) --The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job should not exceed the number of available GPUs on the compute resource that the job is launched on. type (string) --The type of resource to assign to a container. Currently, the only supported resource type is GPU . linuxParameters (dict) --Linux-specific modifications that are applied to the container, such as details for device mappings. devices (list) --Any host devices to expose to the container. This parameter maps to Devices in the Create a container section of the Docker Remote API and the --device option to docker run . (dict) --An object representing a container instance host device. hostPath (string) --The path for the device on the host container instance. containerPath (string) --The path inside the container at which to expose the host device. By default the hostPath value is used. permissions (list) --The explicit permissions to provide to the container for the device. By default, the container has permissions for read , write , and mknod for the device. (string) -- nodeDetails (dict) --An object representing the details of a node that is associated with a multi-node parallel job. nodeIndex (integer) --The node index for the node. Node index numbering begins at zero. This index is also available on the node with the AWS_BATCH_JOB_NODE_INDEX environment variable. isMainNode (boolean) --Specifies whether the current node is the main node for a multi-node parallel job. nodeProperties (dict) --An object representing the node properties of a multi-node parallel job. numNodes (integer) --The number of nodes associated with a multi-node parallel job. mainNode (integer) --Specifies the node index for the main node of a multi-node parallel job. This node index value must be fewer than the number of nodes. nodeRangeProperties (list) --A list of node ranges and their properties associated with a multi-node parallel job. (dict) --An object representing the properties of the node range for a multi-node parallel job. targetNodes (string) --The range of nodes, using node index values. A range of 0:3 indicates nodes with index values of 0 through 3 . If the starting range value is omitted (:n ), then 0 is used to start the range. If the ending range value is omitted (n: ), then the highest possible node index is used to end the range. Your accumulative node ranges must account for all nodes (0:n). You may nest node ranges, for example 0:10 and 4:5, in which case the 4:5 range properties override the 0:10 properties. container (dict) --The container details for the node range. image (string) --The image used to start a container. This string is passed directly to the Docker daemon. Images in the Docker Hub registry are available by default. Other repositories are specified with `` repository-url /image :tag `` . Up to 255 letters (uppercase and lowercase), numbers, hyphens, underscores, colons, periods, forward slashes, and number signs are allowed. This parameter maps to Image in the Create a container section of the Docker Remote API and the IMAGE parameter of docker run . Images in Amazon ECR repositories use the full registry and repository URI (for example, 012345678910.dkr.ecr.<region-name>.amazonaws.com/<repository-name> ). Images in official repositories on Docker Hub use a single name (for example, ubuntu or mongo ). Images in other repositories on Docker Hub are qualified with an organization name (for example, amazon/amazon-ecs-agent ). Images in other online repositories are qualified further by a domain name (for example, quay.io/assemblyline/ubuntu ). vcpus (integer) --The number of vCPUs reserved for the container. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run . Each vCPU is equivalent to 1,024 CPU shares. You must specify at least one vCPU. memory (integer) --The hard limit (in MiB) of memory to present to the container. If your container attempts to exceed the memory specified here, the container is killed. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run . You must specify at least 4 MiB of memory for a job. Note If you are trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory Management in the AWS Batch User Guide . command (list) --The command that is passed to the container. This parameter maps to Cmd in the Create a container section of the Docker Remote API and the COMMAND parameter to docker run . For more information, see https://docs.docker.com/engine/reference/builder/#cmd . (string) -- jobRoleArn (string) --The Amazon Resource Name (ARN) of the IAM role that the container can assume for AWS permissions. volumes (list) --A list of data volumes used in a job. (dict) --A data volume used in a job\'s container properties. host (dict) --The contents of the host parameter determine whether your data volume persists on the host container instance and where it is stored. If the host parameter is empty, then the Docker daemon assigns a host path for your data volume. However, the data is not guaranteed to persist after the containers associated with it stop running. sourcePath (string) --The path on the host container instance that is presented to the container. If this parameter is empty, then the Docker daemon has assigned a host path for you. If this parameter contains a file location, then the data volume persists at the specified location on the host container instance until you delete it manually. If the source path location does not exist on the host container instance, the Docker daemon creates it. If the location does exist, the contents of the source path folder are exported. name (string) --The name of the volume. Up to 255 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed. This name is referenced in the sourceVolume parameter of container definition mountPoints . environment (list) --The environment variables to pass to a container. This parameter maps to Env in the Create a container section of the Docker Remote API and the --env option to docker run . Warning We do not recommend using plaintext environment variables for sensitive information, such as credential data. Note Environment variables must not start with AWS_BATCH ; this naming convention is reserved for variables that are set by the AWS Batch service. (dict) --A key-value pair object. name (string) --The name of the key-value pair. For environment variables, this is the name of the environment variable. value (string) --The value of the key-value pair. For environment variables, this is the value of the environment variable. mountPoints (list) --The mount points for data volumes in your container. This parameter maps to Volumes in the Create a container section of the Docker Remote API and the --volume option to docker run . (dict) --Details on a Docker volume mount point that is used in a job\'s container properties. This parameter maps to Volumes in the Create a container section of the Docker Remote API and the --volume option to docker run. containerPath (string) --The path on the container at which to mount the host volume. readOnly (boolean) --If this value is true , the container has read-only access to the volume; otherwise, the container can write to the volume. The default value is false . sourceVolume (string) --The name of the volume to mount. readonlyRootFilesystem (boolean) --When this parameter is true, the container is given read-only access to its root file system. This parameter maps to ReadonlyRootfs in the Create a container section of the Docker Remote API and the --read-only option to docker run . privileged (boolean) --When this parameter is true, the container is given elevated privileges on the host container instance (similar to the root user). This parameter maps to Privileged in the Create a container section of the Docker Remote API and the --privileged option to docker run . ulimits (list) --A list of ulimits to set in the container. This parameter maps to Ulimits in the Create a container section of the Docker Remote API and the --ulimit option to docker run . (dict) --The ulimit settings to pass to the container. hardLimit (integer) --The hard limit for the ulimit type. name (string) --The type of the ulimit . softLimit (integer) --The soft limit for the ulimit type. user (string) --The user name to use inside the container. This parameter maps to User in the Create a container section of the Docker Remote API and the --user option to docker run . instanceType (string) --The instance type to use for a multi-node parallel job. Currently all node groups in a multi-node parallel job must use the same instance type. This parameter is not valid for single-node container jobs. resourceRequirements (list) --The type and amount of a resource to assign to a container. Currently, the only supported resource is GPU . (dict) --The type and amount of a resource to assign to a container. Currently, the only supported resource type is GPU . value (string) --The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job should not exceed the number of available GPUs on the compute resource that the job is launched on. type (string) --The type of resource to assign to a container. Currently, the only supported resource type is GPU . linuxParameters (dict) --Linux-specific modifications that are applied to the container, such as details for device mappings. devices (list) --Any host devices to expose to the container. This parameter maps to Devices in the Create a container section of the Docker Remote API and the --device option to docker run . (dict) --An object representing a container instance host device. hostPath (string) --The path for the device on the host container instance. containerPath (string) --The path inside the container at which to expose the host device. By default the hostPath value is used. permissions (list) --The explicit permissions to provide to the container for the device. By default, the container has permissions for read , write , and mknod for the device. (string) -- arrayProperties (dict) --The array properties of the job, if it is an array job. statusSummary (dict) --A summary of the number of array job children in each available job status. This parameter is returned for parent array jobs. (string) -- (integer) -- size (integer) --The size of the array job. This parameter is returned for parent array jobs. index (integer) --The job index within the array that is associated with this job. This parameter is returned for array job children. timeout (dict) --The timeout configuration for the job. attemptDurationSeconds (integer) --The time duration in seconds (measured from the job attempt\'s startedAt timestamp) after which AWS Batch terminates your jobs if they have not finished. Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example describes a job with the specified job ID. response = client.describe_jobs( jobs=[ '24fa2d7a-64c4-49d2-8b47-f8da4fbde8e9', ], ) print(response) Expected Output: { 'jobs': [ { 'container': { 'command': [ 'sleep', '60', ], 'containerInstanceArn': 'arn:aws:ecs:us-east-1:012345678910:container-instance/5406d7cd-58bd-4b8f-9936-48d7c6b1526c', 'environment': [ ], 'exitCode': 0, 'image': 'busybox', 'memory': 128, 'mountPoints': [ ], 'ulimits': [ ], 'vcpus': 1, 'volumes': [ ], }, 'createdAt': 1480460782010, 'dependsOn': [ ], 'jobDefinition': 'sleep60', 'jobId': '24fa2d7a-64c4-49d2-8b47-f8da4fbde8e9', 'jobName': 'example', 'jobQueue': 'arn:aws:batch:us-east-1:012345678910:job-queue/HighPriority', 'parameters': { }, 'startedAt': 1480460816500, 'status': 'SUCCEEDED', 'stoppedAt': 1480460880699, }, ], 'ResponseMetadata': { '...': '...', }, } :return: { 'jobs': [ { 'jobName': 'string', 'jobId': 'string', 'jobQueue': 'string', 'status': 'SUBMITTED'|'PENDING'|'RUNNABLE'|'STARTING'|'RUNNING'|'SUCCEEDED'|'FAILED', 'attempts': [ { 'container': { 'containerInstanceArn': 'string', 'taskArn': 'string', 'exitCode': 123, 'reason': 'string', 'logStreamName': 'string', 'networkInterfaces': [ { 'attachmentId': 'string', 'ipv6Address': 'string', 'privateIpv4Address': 'string' }, ] }, 'startedAt': 123, 'stoppedAt': 123, 'statusReason': 'string' }, ], 'statusReason': 'string', 'createdAt': 123, 'retryStrategy': { 'attempts': 123 }, 'startedAt': 123, 'stoppedAt': 123, 'dependsOn': [ { 'jobId': 'string', 'type': 'N_TO_N'|'SEQUENTIAL' }, ], 'jobDefinition': 'string', 'parameters': { 'string': 'string' }, 'container': { 'image': 'string', 'vcpus': 123, 'memory': 123, 'command': [ 'string', ], 'jobRoleArn': 'string', 'volumes': [ { 'host': { 'sourcePath': 'string' }, 'name': 'string' }, ], 'environment': [ { 'name': 'string', 'value': 'string' }, ], 'mountPoints': [ { 'containerPath': 'string', 'readOnly': True|False, 'sourceVolume': 'string' }, ], 'readonlyRootFilesystem': True|False, 'ulimits': [ { 'hardLimit': 123, 'name': 'string', 'softLimit': 123 }, ], 'privileged': True|False, 'user': 'string', 'exitCode': 123, 'reason': 'string', 'containerInstanceArn': 'string', 'taskArn': 'string', 'logStreamName': 'string', 'instanceType': 'string', 'networkInterfaces': [ { 'attachmentId': 'string', 'ipv6Address': 'string', 'privateIpv4Address': 'string' }, ], 'resourceRequirements': [ { 'value': 'string', 'type': 'GPU' }, ], 'linuxParameters': { 'devices': [ { 'hostPath': 'string', 'containerPath': 'string', 'permissions': [ 'READ'|'WRITE'|'MKNOD', ] }, ] } }, 'nodeDetails': { 'nodeIndex': 123, 'isMainNode': True|False }, 'nodeProperties': { 'numNodes': 123, 'mainNode': 123, 'nodeRangeProperties': [ { 'targetNodes': 'string', 'container': { 'image': 'string', 'vcpus': 123, 'memory': 123, 'command': [ 'string', ], 'jobRoleArn': 'string', 'volumes': [ { 'host': { 'sourcePath': 'string' }, 'name': 'string' }, ], 'environment': [ { 'name': 'string', 'value': 'string' }, ], 'mountPoints': [ { 'containerPath': 'string', 'readOnly': True|False, 'sourceVolume': 'string' }, ], 'readonlyRootFilesystem': True|False, 'privileged': True|False, 'ulimits': [ { 'hardLimit': 123, 'name': 'string', 'softLimit': 123 }, ], 'user': 'string', 'instanceType': 'string', 'resourceRequirements': [ { 'value': 'string', 'type': 'GPU' }, ], 'linuxParameters': { 'devices': [ { 'hostPath': 'string', 'containerPath': 'string', 'permissions': [ 'READ'|'WRITE'|'MKNOD', ] }, ] } } }, ] }, 'arrayProperties': { 'statusSummary': { 'string': 123 }, 'size': 123, 'index': 123 }, 'timeout': { 'attemptDurationSeconds': 123 } }, ] } :returns: (string) -- (string) -- """ pass def generate_presigned_url(ClientMethod=None, Params=None, ExpiresIn=None, HttpMethod=None): """ Generate a presigned url given a client, its method, and arguments :type ClientMethod: string :param ClientMethod: The client method to presign for :type Params: dict :param Params: The parameters normally passed to\nClientMethod. :type ExpiresIn: int :param ExpiresIn: The number of seconds the presigned url is valid\nfor. By default it expires in an hour (3600 seconds) :type HttpMethod: string :param HttpMethod: The http method to use on the generated url. By\ndefault, the http method is whatever is used in the method\'s model. """ pass def get_paginator(operation_name=None): """ Create a paginator for an operation. :type operation_name: string :param operation_name: The operation name. This is the same name\nas the method name on the client. For example, if the\nmethod name is create_foo, and you\'d normally invoke the\noperation as client.create_foo(**kwargs), if the\ncreate_foo operation can be paginated, you can use the\ncall client.get_paginator('create_foo'). :rtype: L{botocore.paginate.Paginator} ReturnsA paginator object. """ pass def get_waiter(waiter_name=None): """ Returns an object that can wait for some condition. :type waiter_name: str :param waiter_name: The name of the waiter to get. See the waiters\nsection of the service docs for a list of available waiters. :rtype: botocore.waiter.Waiter """ pass def list_jobs(jobQueue=None, arrayJobId=None, multiNodeJobId=None, jobStatus=None, maxResults=None, nextToken=None): """ Returns a list of AWS Batch jobs. You must specify only one of the following: You can filter the results by job status with the jobStatus parameter. If you do not specify a status, only RUNNING jobs are returned. See also: AWS API Documentation Exceptions Examples This example lists the running jobs in the HighPriority job queue. Expected Output: This example lists jobs in the HighPriority job queue that are in the SUBMITTED job status. Expected Output: :example: response = client.list_jobs( jobQueue='string', arrayJobId='string', multiNodeJobId='string', jobStatus='SUBMITTED'|'PENDING'|'RUNNABLE'|'STARTING'|'RUNNING'|'SUCCEEDED'|'FAILED', maxResults=123, nextToken='string' ) :type jobQueue: string :param jobQueue: The name or full Amazon Resource Name (ARN) of the job queue with which to list jobs. :type arrayJobId: string :param arrayJobId: The job ID for an array job. Specifying an array job ID with this parameter lists all child jobs from within the specified array. :type multiNodeJobId: string :param multiNodeJobId: The job ID for a multi-node parallel job. Specifying a multi-node parallel job ID with this parameter lists all nodes that are associated with the specified job. :type jobStatus: string :param jobStatus: The job status with which to filter jobs in the specified queue. If you do not specify a status, only RUNNING jobs are returned. :type maxResults: integer :param maxResults: The maximum number of results returned by ListJobs in paginated output. When this parameter is used, ListJobs only returns maxResults results in a single page along with a nextToken response element. The remaining results of the initial request can be seen by sending another ListJobs request with the returned nextToken value. This value can be between 1 and 100. If this parameter is not used, then ListJobs returns up to 100 results and a nextToken value if applicable. :type nextToken: string :param nextToken: The nextToken value returned from a previous paginated ListJobs request where maxResults was used and the results exceeded the value of that parameter. Pagination continues from the end of the previous results that returned the nextToken value. This value is null when there are no more results to return.\n\nNote\nThis token should be treated as an opaque identifier that is only used to retrieve the next items in a list and not for other programmatic purposes.\n\n :rtype: dict ReturnsResponse Syntax { 'jobSummaryList': [ { 'jobId': 'string', 'jobName': 'string', 'createdAt': 123, 'status': 'SUBMITTED'|'PENDING'|'RUNNABLE'|'STARTING'|'RUNNING'|'SUCCEEDED'|'FAILED', 'statusReason': 'string', 'startedAt': 123, 'stoppedAt': 123, 'container': { 'exitCode': 123, 'reason': 'string' }, 'arrayProperties': { 'size': 123, 'index': 123 }, 'nodeProperties': { 'isMainNode': True|False, 'numNodes': 123, 'nodeIndex': 123 } }, ], 'nextToken': 'string' } Response Structure (dict) -- jobSummaryList (list) -- A list of job summaries that match the request. (dict) -- An object representing summary details of a job. jobId (string) -- The ID of the job. jobName (string) -- The name of the job. createdAt (integer) -- The Unix timestamp for when the job was created. For non-array jobs and parent array jobs, this is when the job entered the SUBMITTED state (at the time SubmitJob was called). For array child jobs, this is when the child job was spawned by its parent and entered the PENDING state. status (string) -- The current status for the job. statusReason (string) -- A short, human-readable string to provide additional details about the current status of the job. startedAt (integer) -- The Unix timestamp for when the job was started (when the job transitioned from the STARTING state to the RUNNING state). stoppedAt (integer) -- The Unix timestamp for when the job was stopped (when the job transitioned from the RUNNING state to a terminal state, such as SUCCEEDED or FAILED ). container (dict) -- An object representing the details of the container that is associated with the job. exitCode (integer) -- The exit code to return upon completion. reason (string) -- A short (255 max characters) human-readable string to provide additional details about a running or stopped container. arrayProperties (dict) -- The array properties of the job, if it is an array job. size (integer) -- The size of the array job. This parameter is returned for parent array jobs. index (integer) -- The job index within the array that is associated with this job. This parameter is returned for children of array jobs. nodeProperties (dict) -- The node properties for a single node in a job summary list. isMainNode (boolean) -- Specifies whether the current node is the main node for a multi-node parallel job. numNodes (integer) -- The number of nodes associated with a multi-node parallel job. nodeIndex (integer) -- The node index for the node. Node index numbering begins at zero. This index is also available on the node with the AWS_BATCH_JOB_NODE_INDEX environment variable. nextToken (string) -- The nextToken value to include in a future ListJobs request. When the results of a ListJobs request exceed maxResults , this value can be used to retrieve the next page of results. This value is null when there are no more results to return. Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example lists the running jobs in the HighPriority job queue. response = client.list_jobs( jobQueue='HighPriority', ) print(response) Expected Output: { 'jobSummaryList': [ { 'jobId': 'e66ff5fd-a1ff-4640-b1a2-0b0a142f49bb', 'jobName': 'example', }, ], 'ResponseMetadata': { '...': '...', }, } This example lists jobs in the HighPriority job queue that are in the SUBMITTED job status. response = client.list_jobs( jobQueue='HighPriority', jobStatus='SUBMITTED', ) print(response) Expected Output: { 'jobSummaryList': [ { 'jobId': '68f0c163-fbd4-44e6-9fd1-25b14a434786', 'jobName': 'example', }, ], 'ResponseMetadata': { '...': '...', }, } :return: { 'jobSummaryList': [ { 'jobId': 'string', 'jobName': 'string', 'createdAt': 123, 'status': 'SUBMITTED'|'PENDING'|'RUNNABLE'|'STARTING'|'RUNNING'|'SUCCEEDED'|'FAILED', 'statusReason': 'string', 'startedAt': 123, 'stoppedAt': 123, 'container': { 'exitCode': 123, 'reason': 'string' }, 'arrayProperties': { 'size': 123, 'index': 123 }, 'nodeProperties': { 'isMainNode': True|False, 'numNodes': 123, 'nodeIndex': 123 } }, ], 'nextToken': 'string' } :returns: jobQueue (string) -- The name or full Amazon Resource Name (ARN) of the job queue with which to list jobs. arrayJobId (string) -- The job ID for an array job. Specifying an array job ID with this parameter lists all child jobs from within the specified array. multiNodeJobId (string) -- The job ID for a multi-node parallel job. Specifying a multi-node parallel job ID with this parameter lists all nodes that are associated with the specified job. jobStatus (string) -- The job status with which to filter jobs in the specified queue. If you do not specify a status, only RUNNING jobs are returned. maxResults (integer) -- The maximum number of results returned by ListJobs in paginated output. When this parameter is used, ListJobs only returns maxResults results in a single page along with a nextToken response element. The remaining results of the initial request can be seen by sending another ListJobs request with the returned nextToken value. This value can be between 1 and 100. If this parameter is not used, then ListJobs returns up to 100 results and a nextToken value if applicable. nextToken (string) -- The nextToken value returned from a previous paginated ListJobs request where maxResults was used and the results exceeded the value of that parameter. Pagination continues from the end of the previous results that returned the nextToken value. This value is null when there are no more results to return. Note This token should be treated as an opaque identifier that is only used to retrieve the next items in a list and not for other programmatic purposes. """ pass def register_job_definition(jobDefinitionName=None, type=None, parameters=None, containerProperties=None, nodeProperties=None, retryStrategy=None, timeout=None): """ Registers an AWS Batch job definition. See also: AWS API Documentation Exceptions Examples This example registers a job definition for a simple container job. Expected Output: :example: response = client.register_job_definition( jobDefinitionName='string', type='container'|'multinode', parameters={ 'string': 'string' }, containerProperties={ 'image': 'string', 'vcpus': 123, 'memory': 123, 'command': [ 'string', ], 'jobRoleArn': 'string', 'volumes': [ { 'host': { 'sourcePath': 'string' }, 'name': 'string' }, ], 'environment': [ { 'name': 'string', 'value': 'string' }, ], 'mountPoints': [ { 'containerPath': 'string', 'readOnly': True|False, 'sourceVolume': 'string' }, ], 'readonlyRootFilesystem': True|False, 'privileged': True|False, 'ulimits': [ { 'hardLimit': 123, 'name': 'string', 'softLimit': 123 }, ], 'user': 'string', 'instanceType': 'string', 'resourceRequirements': [ { 'value': 'string', 'type': 'GPU' }, ], 'linuxParameters': { 'devices': [ { 'hostPath': 'string', 'containerPath': 'string', 'permissions': [ 'READ'|'WRITE'|'MKNOD', ] }, ] } }, nodeProperties={ 'numNodes': 123, 'mainNode': 123, 'nodeRangeProperties': [ { 'targetNodes': 'string', 'container': { 'image': 'string', 'vcpus': 123, 'memory': 123, 'command': [ 'string', ], 'jobRoleArn': 'string', 'volumes': [ { 'host': { 'sourcePath': 'string' }, 'name': 'string' }, ], 'environment': [ { 'name': 'string', 'value': 'string' }, ], 'mountPoints': [ { 'containerPath': 'string', 'readOnly': True|False, 'sourceVolume': 'string' }, ], 'readonlyRootFilesystem': True|False, 'privileged': True|False, 'ulimits': [ { 'hardLimit': 123, 'name': 'string', 'softLimit': 123 }, ], 'user': 'string', 'instanceType': 'string', 'resourceRequirements': [ { 'value': 'string', 'type': 'GPU' }, ], 'linuxParameters': { 'devices': [ { 'hostPath': 'string', 'containerPath': 'string', 'permissions': [ 'READ'|'WRITE'|'MKNOD', ] }, ] } } }, ] }, retryStrategy={ 'attempts': 123 }, timeout={ 'attemptDurationSeconds': 123 } ) :type jobDefinitionName: string :param jobDefinitionName: [REQUIRED]\nThe name of the job definition to register. Up to 128 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed.\n :type type: string :param type: [REQUIRED]\nThe type of job definition.\n :type parameters: dict :param parameters: Default parameter substitution placeholders to set in the job definition. Parameters are specified as a key-value pair mapping. Parameters in a SubmitJob request override any corresponding parameter defaults from the job definition.\n\n(string) --\n(string) --\n\n\n\n :type containerProperties: dict :param containerProperties: An object with various properties specific to single-node container-based jobs. If the job definition\'s type parameter is container , then you must specify either containerProperties or nodeProperties .\n\nimage (string) --The image used to start a container. This string is passed directly to the Docker daemon. Images in the Docker Hub registry are available by default. Other repositories are specified with `` repository-url /image :tag `` . Up to 255 letters (uppercase and lowercase), numbers, hyphens, underscores, colons, periods, forward slashes, and number signs are allowed. This parameter maps to Image in the Create a container section of the Docker Remote API and the IMAGE parameter of docker run .\n\nImages in Amazon ECR repositories use the full registry and repository URI (for example, 012345678910.dkr.ecr.<region-name>.amazonaws.com/<repository-name> ).\nImages in official repositories on Docker Hub use a single name (for example, ubuntu or mongo ).\nImages in other repositories on Docker Hub are qualified with an organization name (for example, amazon/amazon-ecs-agent ).\nImages in other online repositories are qualified further by a domain name (for example, quay.io/assemblyline/ubuntu ).\n\n\nvcpus (integer) --The number of vCPUs reserved for the container. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run . Each vCPU is equivalent to 1,024 CPU shares. You must specify at least one vCPU.\n\nmemory (integer) --The hard limit (in MiB) of memory to present to the container. If your container attempts to exceed the memory specified here, the container is killed. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run . You must specify at least 4 MiB of memory for a job.\n\nNote\nIf you are trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory Management in the AWS Batch User Guide .\n\n\ncommand (list) --The command that is passed to the container. This parameter maps to Cmd in the Create a container section of the Docker Remote API and the COMMAND parameter to docker run . For more information, see https://docs.docker.com/engine/reference/builder/#cmd .\n\n(string) --\n\n\njobRoleArn (string) --The Amazon Resource Name (ARN) of the IAM role that the container can assume for AWS permissions.\n\nvolumes (list) --A list of data volumes used in a job.\n\n(dict) --A data volume used in a job\'s container properties.\n\nhost (dict) --The contents of the host parameter determine whether your data volume persists on the host container instance and where it is stored. If the host parameter is empty, then the Docker daemon assigns a host path for your data volume. However, the data is not guaranteed to persist after the containers associated with it stop running.\n\nsourcePath (string) --The path on the host container instance that is presented to the container. If this parameter is empty, then the Docker daemon has assigned a host path for you. If this parameter contains a file location, then the data volume persists at the specified location on the host container instance until you delete it manually. If the source path location does not exist on the host container instance, the Docker daemon creates it. If the location does exist, the contents of the source path folder are exported.\n\n\n\nname (string) --The name of the volume. Up to 255 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed. This name is referenced in the sourceVolume parameter of container definition mountPoints .\n\n\n\n\n\nenvironment (list) --The environment variables to pass to a container. This parameter maps to Env in the Create a container section of the Docker Remote API and the --env option to docker run .\n\nWarning\nWe do not recommend using plaintext environment variables for sensitive information, such as credential data.\n\n\nNote\nEnvironment variables must not start with AWS_BATCH ; this naming convention is reserved for variables that are set by the AWS Batch service.\n\n\n(dict) --A key-value pair object.\n\nname (string) --The name of the key-value pair. For environment variables, this is the name of the environment variable.\n\nvalue (string) --The value of the key-value pair. For environment variables, this is the value of the environment variable.\n\n\n\n\n\nmountPoints (list) --The mount points for data volumes in your container. This parameter maps to Volumes in the Create a container section of the Docker Remote API and the --volume option to docker run .\n\n(dict) --Details on a Docker volume mount point that is used in a job\'s container properties. This parameter maps to Volumes in the Create a container section of the Docker Remote API and the --volume option to docker run.\n\ncontainerPath (string) --The path on the container at which to mount the host volume.\n\nreadOnly (boolean) --If this value is true , the container has read-only access to the volume; otherwise, the container can write to the volume. The default value is false .\n\nsourceVolume (string) --The name of the volume to mount.\n\n\n\n\n\nreadonlyRootFilesystem (boolean) --When this parameter is true, the container is given read-only access to its root file system. This parameter maps to ReadonlyRootfs in the Create a container section of the Docker Remote API and the --read-only option to docker run .\n\nprivileged (boolean) --When this parameter is true, the container is given elevated privileges on the host container instance (similar to the root user). This parameter maps to Privileged in the Create a container section of the Docker Remote API and the --privileged option to docker run .\n\nulimits (list) --A list of ulimits to set in the container. This parameter maps to Ulimits in the Create a container section of the Docker Remote API and the --ulimit option to docker run .\n\n(dict) --The ulimit settings to pass to the container.\n\nhardLimit (integer) -- [REQUIRED]The hard limit for the ulimit type.\n\nname (string) -- [REQUIRED]The type of the ulimit .\n\nsoftLimit (integer) -- [REQUIRED]The soft limit for the ulimit type.\n\n\n\n\n\nuser (string) --The user name to use inside the container. This parameter maps to User in the Create a container section of the Docker Remote API and the --user option to docker run .\n\ninstanceType (string) --The instance type to use for a multi-node parallel job. Currently all node groups in a multi-node parallel job must use the same instance type. This parameter is not valid for single-node container jobs.\n\nresourceRequirements (list) --The type and amount of a resource to assign to a container. Currently, the only supported resource is GPU .\n\n(dict) --The type and amount of a resource to assign to a container. Currently, the only supported resource type is GPU .\n\nvalue (string) -- [REQUIRED]The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job should not exceed the number of available GPUs on the compute resource that the job is launched on.\n\ntype (string) -- [REQUIRED]The type of resource to assign to a container. Currently, the only supported resource type is GPU .\n\n\n\n\n\nlinuxParameters (dict) --Linux-specific modifications that are applied to the container, such as details for device mappings.\n\ndevices (list) --Any host devices to expose to the container. This parameter maps to Devices in the Create a container section of the Docker Remote API and the --device option to docker run .\n\n(dict) --An object representing a container instance host device.\n\nhostPath (string) -- [REQUIRED]The path for the device on the host container instance.\n\ncontainerPath (string) --The path inside the container at which to expose the host device. By default the hostPath value is used.\n\npermissions (list) --The explicit permissions to provide to the container for the device. By default, the container has permissions for read , write , and mknod for the device.\n\n(string) --\n\n\n\n\n\n\n\n\n\n :type nodeProperties: dict :param nodeProperties: An object with various properties specific to multi-node parallel jobs. If you specify node properties for a job, it becomes a multi-node parallel job. For more information, see Multi-node Parallel Jobs in the AWS Batch User Guide . If the job definition\'s type parameter is container , then you must specify either containerProperties or nodeProperties .\n\nnumNodes (integer) -- [REQUIRED]The number of nodes associated with a multi-node parallel job.\n\nmainNode (integer) -- [REQUIRED]Specifies the node index for the main node of a multi-node parallel job. This node index value must be fewer than the number of nodes.\n\nnodeRangeProperties (list) -- [REQUIRED]A list of node ranges and their properties associated with a multi-node parallel job.\n\n(dict) --An object representing the properties of the node range for a multi-node parallel job.\n\ntargetNodes (string) -- [REQUIRED]The range of nodes, using node index values. A range of 0:3 indicates nodes with index values of 0 through 3 . If the starting range value is omitted (:n ), then 0 is used to start the range. If the ending range value is omitted (n: ), then the highest possible node index is used to end the range. Your accumulative node ranges must account for all nodes (0:n). You may nest node ranges, for example 0:10 and 4:5, in which case the 4:5 range properties override the 0:10 properties.\n\ncontainer (dict) --The container details for the node range.\n\nimage (string) --The image used to start a container. This string is passed directly to the Docker daemon. Images in the Docker Hub registry are available by default. Other repositories are specified with `` repository-url /image :tag `` . Up to 255 letters (uppercase and lowercase), numbers, hyphens, underscores, colons, periods, forward slashes, and number signs are allowed. This parameter maps to Image in the Create a container section of the Docker Remote API and the IMAGE parameter of docker run .\n\nImages in Amazon ECR repositories use the full registry and repository URI (for example, 012345678910.dkr.ecr.<region-name>.amazonaws.com/<repository-name> ).\nImages in official repositories on Docker Hub use a single name (for example, ubuntu or mongo ).\nImages in other repositories on Docker Hub are qualified with an organization name (for example, amazon/amazon-ecs-agent ).\nImages in other online repositories are qualified further by a domain name (for example, quay.io/assemblyline/ubuntu ).\n\n\nvcpus (integer) --The number of vCPUs reserved for the container. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run . Each vCPU is equivalent to 1,024 CPU shares. You must specify at least one vCPU.\n\nmemory (integer) --The hard limit (in MiB) of memory to present to the container. If your container attempts to exceed the memory specified here, the container is killed. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run . You must specify at least 4 MiB of memory for a job.\n\nNote\nIf you are trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory Management in the AWS Batch User Guide .\n\n\ncommand (list) --The command that is passed to the container. This parameter maps to Cmd in the Create a container section of the Docker Remote API and the COMMAND parameter to docker run . For more information, see https://docs.docker.com/engine/reference/builder/#cmd .\n\n(string) --\n\n\njobRoleArn (string) --The Amazon Resource Name (ARN) of the IAM role that the container can assume for AWS permissions.\n\nvolumes (list) --A list of data volumes used in a job.\n\n(dict) --A data volume used in a job\'s container properties.\n\nhost (dict) --The contents of the host parameter determine whether your data volume persists on the host container instance and where it is stored. If the host parameter is empty, then the Docker daemon assigns a host path for your data volume. However, the data is not guaranteed to persist after the containers associated with it stop running.\n\nsourcePath (string) --The path on the host container instance that is presented to the container. If this parameter is empty, then the Docker daemon has assigned a host path for you. If this parameter contains a file location, then the data volume persists at the specified location on the host container instance until you delete it manually. If the source path location does not exist on the host container instance, the Docker daemon creates it. If the location does exist, the contents of the source path folder are exported.\n\n\n\nname (string) --The name of the volume. Up to 255 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed. This name is referenced in the sourceVolume parameter of container definition mountPoints .\n\n\n\n\n\nenvironment (list) --The environment variables to pass to a container. This parameter maps to Env in the Create a container section of the Docker Remote API and the --env option to docker run .\n\nWarning\nWe do not recommend using plaintext environment variables for sensitive information, such as credential data.\n\n\nNote\nEnvironment variables must not start with AWS_BATCH ; this naming convention is reserved for variables that are set by the AWS Batch service.\n\n\n(dict) --A key-value pair object.\n\nname (string) --The name of the key-value pair. For environment variables, this is the name of the environment variable.\n\nvalue (string) --The value of the key-value pair. For environment variables, this is the value of the environment variable.\n\n\n\n\n\nmountPoints (list) --The mount points for data volumes in your container. This parameter maps to Volumes in the Create a container section of the Docker Remote API and the --volume option to docker run .\n\n(dict) --Details on a Docker volume mount point that is used in a job\'s container properties. This parameter maps to Volumes in the Create a container section of the Docker Remote API and the --volume option to docker run.\n\ncontainerPath (string) --The path on the container at which to mount the host volume.\n\nreadOnly (boolean) --If this value is true , the container has read-only access to the volume; otherwise, the container can write to the volume. The default value is false .\n\nsourceVolume (string) --The name of the volume to mount.\n\n\n\n\n\nreadonlyRootFilesystem (boolean) --When this parameter is true, the container is given read-only access to its root file system. This parameter maps to ReadonlyRootfs in the Create a container section of the Docker Remote API and the --read-only option to docker run .\n\nprivileged (boolean) --When this parameter is true, the container is given elevated privileges on the host container instance (similar to the root user). This parameter maps to Privileged in the Create a container section of the Docker Remote API and the --privileged option to docker run .\n\nulimits (list) --A list of ulimits to set in the container. This parameter maps to Ulimits in the Create a container section of the Docker Remote API and the --ulimit option to docker run .\n\n(dict) --The ulimit settings to pass to the container.\n\nhardLimit (integer) -- [REQUIRED]The hard limit for the ulimit type.\n\nname (string) -- [REQUIRED]The type of the ulimit .\n\nsoftLimit (integer) -- [REQUIRED]The soft limit for the ulimit type.\n\n\n\n\n\nuser (string) --The user name to use inside the container. This parameter maps to User in the Create a container section of the Docker Remote API and the --user option to docker run .\n\ninstanceType (string) --The instance type to use for a multi-node parallel job. Currently all node groups in a multi-node parallel job must use the same instance type. This parameter is not valid for single-node container jobs.\n\nresourceRequirements (list) --The type and amount of a resource to assign to a container. Currently, the only supported resource is GPU .\n\n(dict) --The type and amount of a resource to assign to a container. Currently, the only supported resource type is GPU .\n\nvalue (string) -- [REQUIRED]The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job should not exceed the number of available GPUs on the compute resource that the job is launched on.\n\ntype (string) -- [REQUIRED]The type of resource to assign to a container. Currently, the only supported resource type is GPU .\n\n\n\n\n\nlinuxParameters (dict) --Linux-specific modifications that are applied to the container, such as details for device mappings.\n\ndevices (list) --Any host devices to expose to the container. This parameter maps to Devices in the Create a container section of the Docker Remote API and the --device option to docker run .\n\n(dict) --An object representing a container instance host device.\n\nhostPath (string) -- [REQUIRED]The path for the device on the host container instance.\n\ncontainerPath (string) --The path inside the container at which to expose the host device. By default the hostPath value is used.\n\npermissions (list) --The explicit permissions to provide to the container for the device. By default, the container has permissions for read , write , and mknod for the device.\n\n(string) --\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n :type retryStrategy: dict :param retryStrategy: The retry strategy to use for failed jobs that are submitted with this job definition. Any retry strategy that is specified during a SubmitJob operation overrides the retry strategy defined here. If a job is terminated due to a timeout, it is not retried.\n\nattempts (integer) --The number of times to move a job to the RUNNABLE status. You may specify between 1 and 10 attempts. If the value of attempts is greater than one, the job is retried on failure the same number of attempts as the value.\n\n\n :type timeout: dict :param timeout: The timeout configuration for jobs that are submitted with this job definition, after which AWS Batch terminates your jobs if they have not finished. If a job is terminated due to a timeout, it is not retried. The minimum value for the timeout is 60 seconds. Any timeout configuration that is specified during a SubmitJob operation overrides the timeout configuration defined here. For more information, see Job Timeouts in the Amazon Elastic Container Service Developer Guide .\n\nattemptDurationSeconds (integer) --The time duration in seconds (measured from the job attempt\'s startedAt timestamp) after which AWS Batch terminates your jobs if they have not finished.\n\n\n :rtype: dict ReturnsResponse Syntax { 'jobDefinitionName': 'string', 'jobDefinitionArn': 'string', 'revision': 123 } Response Structure (dict) -- jobDefinitionName (string) -- The name of the job definition. jobDefinitionArn (string) -- The Amazon Resource Name (ARN) of the job definition. revision (integer) -- The revision of the job definition. Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example registers a job definition for a simple container job. response = client.register_job_definition( type='container', containerProperties={ 'command': [ 'sleep', '10', ], 'image': 'busybox', 'memory': 128, 'vcpus': 1, }, jobDefinitionName='sleep10', ) print(response) Expected Output: { 'jobDefinitionArn': 'arn:aws:batch:us-east-1:012345678910:job-definition/sleep10:1', 'jobDefinitionName': 'sleep10', 'revision': 1, 'ResponseMetadata': { '...': '...', }, } :return: { 'jobDefinitionName': 'string', 'jobDefinitionArn': 'string', 'revision': 123 } :returns: Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException """ pass def submit_job(jobName=None, jobQueue=None, arrayProperties=None, dependsOn=None, jobDefinition=None, parameters=None, containerOverrides=None, nodeOverrides=None, retryStrategy=None, timeout=None): """ Submits an AWS Batch job from a job definition. Parameters specified during SubmitJob override parameters defined in the job definition. See also: AWS API Documentation Exceptions Examples This example submits a simple container job called example to the HighPriority job queue. Expected Output: :example: response = client.submit_job( jobName='string', jobQueue='string', arrayProperties={ 'size': 123 }, dependsOn=[ { 'jobId': 'string', 'type': 'N_TO_N'|'SEQUENTIAL' }, ], jobDefinition='string', parameters={ 'string': 'string' }, containerOverrides={ 'vcpus': 123, 'memory': 123, 'command': [ 'string', ], 'instanceType': 'string', 'environment': [ { 'name': 'string', 'value': 'string' }, ], 'resourceRequirements': [ { 'value': 'string', 'type': 'GPU' }, ] }, nodeOverrides={ 'numNodes': 123, 'nodePropertyOverrides': [ { 'targetNodes': 'string', 'containerOverrides': { 'vcpus': 123, 'memory': 123, 'command': [ 'string', ], 'instanceType': 'string', 'environment': [ { 'name': 'string', 'value': 'string' }, ], 'resourceRequirements': [ { 'value': 'string', 'type': 'GPU' }, ] } }, ] }, retryStrategy={ 'attempts': 123 }, timeout={ 'attemptDurationSeconds': 123 } ) :type jobName: string :param jobName: [REQUIRED]\nThe name of the job. The first character must be alphanumeric, and up to 128 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed.\n :type jobQueue: string :param jobQueue: [REQUIRED]\nThe job queue into which the job is submitted. You can specify either the name or the Amazon Resource Name (ARN) of the queue.\n :type arrayProperties: dict :param arrayProperties: The array properties for the submitted job, such as the size of the array. The array size can be between 2 and 10,000. If you specify array properties for a job, it becomes an array job. For more information, see Array Jobs in the AWS Batch User Guide .\n\nsize (integer) --The size of the array job.\n\n\n :type dependsOn: list :param dependsOn: A list of dependencies for the job. A job can depend upon a maximum of 20 jobs. You can specify a SEQUENTIAL type dependency without specifying a job ID for array jobs so that each child array job completes sequentially, starting at index 0. You can also specify an N_TO_N type dependency with a job ID for array jobs. In that case, each index child of this job must wait for the corresponding index child of each dependency to complete before it can begin.\n\n(dict) --An object representing an AWS Batch job dependency.\n\njobId (string) --The job ID of the AWS Batch job associated with this dependency.\n\ntype (string) --The type of the job dependency.\n\n\n\n\n :type jobDefinition: string :param jobDefinition: [REQUIRED]\nThe job definition used by this job. This value can be one of name , name:revision , or the Amazon Resource Name (ARN) for the job definition. If name is specified without a revision then the latest active revision is used.\n :type parameters: dict :param parameters: Additional parameters passed to the job that replace parameter substitution placeholders that are set in the job definition. Parameters are specified as a key and value pair mapping. Parameters in a SubmitJob request override any corresponding parameter defaults from the job definition.\n\n(string) --\n(string) --\n\n\n\n :type containerOverrides: dict :param containerOverrides: A list of container overrides in JSON format that specify the name of a container in the specified job definition and the overrides it should receive. You can override the default command for a container (that is specified in the job definition or the Docker image) with a command override. You can also override existing environment variables (that are specified in the job definition or Docker image) on a container or add new environment variables to it with an environment override.\n\nvcpus (integer) --The number of vCPUs to reserve for the container. This value overrides the value set in the job definition.\n\nmemory (integer) --The number of MiB of memory reserved for the job. This value overrides the value set in the job definition.\n\ncommand (list) --The command to send to the container that overrides the default command from the Docker image or the job definition.\n\n(string) --\n\n\ninstanceType (string) --The instance type to use for a multi-node parallel job. This parameter is not valid for single-node container jobs.\n\nenvironment (list) --The environment variables to send to the container. You can add new environment variables, which are added to the container at launch, or you can override the existing environment variables from the Docker image or the job definition.\n\nNote\nEnvironment variables must not start with AWS_BATCH ; this naming convention is reserved for variables that are set by the AWS Batch service.\n\n\n(dict) --A key-value pair object.\n\nname (string) --The name of the key-value pair. For environment variables, this is the name of the environment variable.\n\nvalue (string) --The value of the key-value pair. For environment variables, this is the value of the environment variable.\n\n\n\n\n\nresourceRequirements (list) --The type and amount of a resource to assign to a container. This value overrides the value set in the job definition. Currently, the only supported resource is GPU .\n\n(dict) --The type and amount of a resource to assign to a container. Currently, the only supported resource type is GPU .\n\nvalue (string) -- [REQUIRED]The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job should not exceed the number of available GPUs on the compute resource that the job is launched on.\n\ntype (string) -- [REQUIRED]The type of resource to assign to a container. Currently, the only supported resource type is GPU .\n\n\n\n\n\n\n :type nodeOverrides: dict :param nodeOverrides: A list of node overrides in JSON format that specify the node range to target and the container overrides for that node range.\n\nnumNodes (integer) --The number of nodes to use with a multi-node parallel job. This value overrides the number of nodes that are specified in the job definition. To use this override:\n\nThere must be at least one node range in your job definition that has an open upper boundary (such as : or n: ).\nThe lower boundary of the node range specified in the job definition must be fewer than the number of nodes specified in the override.\nThe main node index specified in the job definition must be fewer than the number of nodes specified in the override.\n\n\nnodePropertyOverrides (list) --The node property overrides for the job.\n\n(dict) --Object representing any node overrides to a job definition that is used in a SubmitJob API operation.\n\ntargetNodes (string) -- [REQUIRED]The range of nodes, using node index values, with which to override. A range of 0:3 indicates nodes with index values of 0 through 3 . If the starting range value is omitted (:n ), then 0 is used to start the range. If the ending range value is omitted (n: ), then the highest possible node index is used to end the range.\n\ncontainerOverrides (dict) --The overrides that should be sent to a node range.\n\nvcpus (integer) --The number of vCPUs to reserve for the container. This value overrides the value set in the job definition.\n\nmemory (integer) --The number of MiB of memory reserved for the job. This value overrides the value set in the job definition.\n\ncommand (list) --The command to send to the container that overrides the default command from the Docker image or the job definition.\n\n(string) --\n\n\ninstanceType (string) --The instance type to use for a multi-node parallel job. This parameter is not valid for single-node container jobs.\n\nenvironment (list) --The environment variables to send to the container. You can add new environment variables, which are added to the container at launch, or you can override the existing environment variables from the Docker image or the job definition.\n\nNote\nEnvironment variables must not start with AWS_BATCH ; this naming convention is reserved for variables that are set by the AWS Batch service.\n\n\n(dict) --A key-value pair object.\n\nname (string) --The name of the key-value pair. For environment variables, this is the name of the environment variable.\n\nvalue (string) --The value of the key-value pair. For environment variables, this is the value of the environment variable.\n\n\n\n\n\nresourceRequirements (list) --The type and amount of a resource to assign to a container. This value overrides the value set in the job definition. Currently, the only supported resource is GPU .\n\n(dict) --The type and amount of a resource to assign to a container. Currently, the only supported resource type is GPU .\n\nvalue (string) -- [REQUIRED]The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job should not exceed the number of available GPUs on the compute resource that the job is launched on.\n\ntype (string) -- [REQUIRED]The type of resource to assign to a container. Currently, the only supported resource type is GPU .\n\n\n\n\n\n\n\n\n\n\n\n\n :type retryStrategy: dict :param retryStrategy: The retry strategy to use for failed jobs from this SubmitJob operation. When a retry strategy is specified here, it overrides the retry strategy defined in the job definition.\n\nattempts (integer) --The number of times to move a job to the RUNNABLE status. You may specify between 1 and 10 attempts. If the value of attempts is greater than one, the job is retried on failure the same number of attempts as the value.\n\n\n :type timeout: dict :param timeout: The timeout configuration for this SubmitJob operation. You can specify a timeout duration after which AWS Batch terminates your jobs if they have not finished. If a job is terminated due to a timeout, it is not retried. The minimum value for the timeout is 60 seconds. This configuration overrides any timeout configuration specified in the job definition. For array jobs, child jobs have the same timeout configuration as the parent job. For more information, see Job Timeouts in the Amazon Elastic Container Service Developer Guide .\n\nattemptDurationSeconds (integer) --The time duration in seconds (measured from the job attempt\'s startedAt timestamp) after which AWS Batch terminates your jobs if they have not finished.\n\n\n :rtype: dict ReturnsResponse Syntax { 'jobName': 'string', 'jobId': 'string' } Response Structure (dict) -- jobName (string) -- The name of the job. jobId (string) -- The unique identifier for the job. Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example submits a simple container job called example to the HighPriority job queue. response = client.submit_job( jobDefinition='sleep60', jobName='example', jobQueue='HighPriority', ) print(response) Expected Output: { 'jobId': '876da822-4198-45f2-a252-6cea32512ea8', 'jobName': 'example', 'ResponseMetadata': { '...': '...', }, } :return: { 'jobName': 'string', 'jobId': 'string' } :returns: Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException """ pass def terminate_job(jobId=None, reason=None): """ Terminates a job in a job queue. Jobs that are in the STARTING or RUNNING state are terminated, which causes them to transition to FAILED . Jobs that have not progressed to the STARTING state are cancelled. See also: AWS API Documentation Exceptions Examples This example terminates a job with the specified job ID. Expected Output: :example: response = client.terminate_job( jobId='string', reason='string' ) :type jobId: string :param jobId: [REQUIRED]\nThe AWS Batch job ID of the job to terminate.\n :type reason: string :param reason: [REQUIRED]\nA message to attach to the job that explains the reason for canceling it. This message is returned by future DescribeJobs operations on the job. This message is also recorded in the AWS Batch activity logs.\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example terminates a job with the specified job ID. response = client.terminate_job( jobId='61e743ed-35e4-48da-b2de-5c8333821c84', reason='Terminating job.', ) print(response) Expected Output: { 'ResponseMetadata': { '...': '...', }, } :return: {} :returns: (dict) -- """ pass def update_compute_environment(computeEnvironment=None, state=None, computeResources=None, serviceRole=None): """ Updates an AWS Batch compute environment. See also: AWS API Documentation Exceptions Examples This example disables the P2OnDemand compute environment so it can be deleted. Expected Output: :example: response = client.update_compute_environment( computeEnvironment='string', state='ENABLED'|'DISABLED', computeResources={ 'minvCpus': 123, 'maxvCpus': 123, 'desiredvCpus': 123 }, serviceRole='string' ) :type computeEnvironment: string :param computeEnvironment: [REQUIRED]\nThe name or full Amazon Resource Name (ARN) of the compute environment to update.\n :type state: string :param state: The state of the compute environment. Compute environments in the ENABLED state can accept jobs from a queue and scale in or out automatically based on the workload demand of its associated queues. :type computeResources: dict :param computeResources: Details of the compute resources managed by the compute environment. Required for a managed compute environment.\n\nminvCpus (integer) --The minimum number of Amazon EC2 vCPUs that an environment should maintain.\n\nmaxvCpus (integer) --The maximum number of Amazon EC2 vCPUs that an environment can reach.\n\ndesiredvCpus (integer) --The desired number of Amazon EC2 vCPUS in the compute environment.\n\n\n :type serviceRole: string :param serviceRole: The full Amazon Resource Name (ARN) of the IAM role that allows AWS Batch to make calls to other AWS services on your behalf.\nIf your specified role has a path other than / , then you must either specify the full role ARN (this is recommended) or prefix the role name with the path.\n\nNote\nDepending on how you created your AWS Batch service role, its ARN may contain the service-role path prefix. When you only specify the name of the service role, AWS Batch assumes that your ARN does not use the service-role path prefix. Because of this, we recommend that you specify the full ARN of your service role when you create compute environments.\n\n :rtype: dict ReturnsResponse Syntax { 'computeEnvironmentName': 'string', 'computeEnvironmentArn': 'string' } Response Structure (dict) -- computeEnvironmentName (string) -- The name of the compute environment. computeEnvironmentArn (string) -- The Amazon Resource Name (ARN) of the compute environment. Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example disables the P2OnDemand compute environment so it can be deleted. response = client.update_compute_environment( computeEnvironment='P2OnDemand', state='DISABLED', ) print(response) Expected Output: { 'computeEnvironmentArn': 'arn:aws:batch:us-east-1:012345678910:compute-environment/P2OnDemand', 'computeEnvironmentName': 'P2OnDemand', 'ResponseMetadata': { '...': '...', }, } :return: { 'computeEnvironmentName': 'string', 'computeEnvironmentArn': 'string' } :returns: Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException """ pass def update_job_queue(jobQueue=None, state=None, priority=None, computeEnvironmentOrder=None): """ Updates a job queue. See also: AWS API Documentation Exceptions Examples This example disables a job queue so that it can be deleted. Expected Output: :example: response = client.update_job_queue( jobQueue='string', state='ENABLED'|'DISABLED', priority=123, computeEnvironmentOrder=[ { 'order': 123, 'computeEnvironment': 'string' }, ] ) :type jobQueue: string :param jobQueue: [REQUIRED]\nThe name or the Amazon Resource Name (ARN) of the job queue.\n :type state: string :param state: Describes the queue\'s ability to accept new jobs. :type priority: integer :param priority: The priority of the job queue. Job queues with a higher priority (or a higher integer value for the priority parameter) are evaluated first when associated with the same compute environment. Priority is determined in descending order, for example, a job queue with a priority value of 10 is given scheduling preference over a job queue with a priority value of 1 . :type computeEnvironmentOrder: list :param computeEnvironmentOrder: Details the set of compute environments mapped to a job queue and their order relative to each other. This is one of the parameters used by the job scheduler to determine which compute environment should execute a given job.\n\n(dict) --The order in which compute environments are tried for job placement within a queue. Compute environments are tried in ascending order. For example, if two compute environments are associated with a job queue, the compute environment with a lower order integer value is tried for job placement first.\n\norder (integer) -- [REQUIRED]The order of the compute environment.\n\ncomputeEnvironment (string) -- [REQUIRED]The Amazon Resource Name (ARN) of the compute environment.\n\n\n\n\n :rtype: dict ReturnsResponse Syntax { 'jobQueueName': 'string', 'jobQueueArn': 'string' } Response Structure (dict) -- jobQueueName (string) -- The name of the job queue. jobQueueArn (string) -- The Amazon Resource Name (ARN) of the job queue. Exceptions Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException Examples This example disables a job queue so that it can be deleted. response = client.update_job_queue( jobQueue='GPGPU', state='DISABLED', ) print(response) Expected Output: { 'jobQueueArn': 'arn:aws:batch:us-east-1:012345678910:job-queue/GPGPU', 'jobQueueName': 'GPGPU', 'ResponseMetadata': { '...': '...', }, } :return: { 'jobQueueName': 'string', 'jobQueueArn': 'string' } :returns: Batch.Client.exceptions.ClientException Batch.Client.exceptions.ServerException """ pass

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5c9eacc27f97a8db3208050bfc60a8ad36e580f4

203

py

Python

vk/__init__.py

tsvstar/vk_downloader

52c956b1b75f386677dcd3eb412f52443588a92f

[ "MIT" ]

4

2015-06-02T01:27:29.000Z

2018-04-15T20:14:51.000Z

v2/vk/__init__.py

seet61/one

c501a04e960eda26aad7bb275cf3ede5207b5812

[ "BSD-2-Clause" ]

null

v2/vk/__init__.py

seet61/one

c501a04e960eda26aad7bb275cf3ede5207b5812

[ "BSD-2-Clause" ]

1

2021-04-25T12:38:41.000Z

from vk.api import APISession as API from vk.api import VkError, VkAuthorizationError, VkAPIMethodError from vk.mixins import EnterCaptchaMixin class EnterCaptchaAPI(EnterCaptchaMixin, API): pass

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7a2b396cc9609c0ef84de11e1598f106f547daa3

968,588

py

Python

Utils/words6.py

dobrosketchkun/MOI

9e9907a443319f022acad61a92a4792574a77a5f

[ "Unlicense" ]

3

2018-12-18T20:08:48.000Z

2018-12-25T00:52:57.000Z

Utils/words6.py

dobrosketchkun/MOI

9e9907a443319f022acad61a92a4792574a77a5f

[ "Unlicense" ]

null

Utils/words6.py

dobrosketchkun/MOI

9e9907a443319f022acad61a92a4792574a77a5f

[ "Unlicense" ]

null

#slightly modified version of 12of12inf.txt in https://github.com/en-wl/wordlist #SCOWL is derived from many sources under a BSD compatible license. The combined work is freely available under a MIT-like license. words = ['aardvark', 'aardvarks', 'abacus', 'abacuses', 'abalone', 'abalones', 'abandon', 'abandoned', 'abandoning', 'abandonment', 'abandonments', 'abandons', 'abased', 'abasement', 'abasements', 'abases', 'abashed', 'abashedly', 'abashes', 'abashing', 'abashment', 'abashments', 'abasing', 'abated', 'abatement', 'abatements', 'abates', 'abating', 'abattoir', 'abattoirs', 'abbess', 'abbesses', 'abbeys', 'abbots', 'abbreviate', 'abbreviated', 'abbreviates', 'abbreviating', 'abbreviation', 'abbreviations', 'abdicate', 'abdicated', 'abdicates', 'abdicating', 'abdication', 'abdications', 'abdomen', 'abdomens', 'abdominal', 'abdominals', 'abduct', 'abducted', 'abductee!', 'abductees!', 'abducting', 'abduction', 'abductions', 'abductor', 'abductors', 'abducts', 'aberrant', 'aberration', 'aberrational', 'aberrations', 'abetted', 'abetter', 'abetters', 'abetting', 'abettor', 'abettors', 'abeyance', 'abeyances', 'abhorred', 'abhorrence', 'abhorrences', 'abhorrent', 'abhorrently', 'abhorring', 'abhors', 'abidance', 'abidances', 'abided', 'abides', 'abiding', 'abidingly', 'abilities', 'ability', 'abject', 'abjection', 'abjections', 'abjectly', 'abjectness', 'abjectnesses', 'abjuration', 'abjurations', 'abjuratory', 'abjure', 'abjured', 'abjurer', 'abjurers', 'abjures', 'abjuring', 'ablate', 'ablated', 'ablates', 'ablating', 'ablation', 'ablations', 'ablative', 'ablatives', 'ablaze', 'ablest', 'abloom', 'ablution', 'ablutions', 'abnegate', 'abnegated', 'abnegates', 'abnegating', 'abnegation', 'abnegations', 'abnormal', 'abnormalities', 'abnormality', 'abnormally', 'aboard', 'abodes', 'abolish', 'abolished', 'abolishes', 'abolishing', 'abolition', 'abolitionism', 'abolitionisms', 'abolitionist', 'abolitionists', 'abolitions', 'abominable', 'abominably', 'abominate', 'abominated', 'abominates', 'abominating', 'abomination', 'abominations', 'aboriginal', 'aboriginals', 'aborigine', 'aborigines', 'aborning', 'aborted', 'aborting', 'abortion', 'abortionist', 'abortionists', 'abortions', 'abortive', 'abortively', 'aborts', 'abound', 'abounded', 'abounding', 'abounds', 'aboveboard', 'aboves', 'abracadabra', 'abracadabras', 'abrade', 'abraded', 'abrades', 'abrading', 'abrasion', 'abrasions', 'abrasive', 'abrasively', 'abrasiveness', 'abrasivenesses', 'abrasives', 'abreast', 'abridge', 'abridged', 'abridgement', 'abridgements', 'abridges', 'abridging', 'abridgment', 'abridgments', 'abroad', 'abrogate', 'abrogated', 'abrogates', 'abrogating', 'abrogation', 'abrogations', 'abrogator', 'abrogators', 'abrupt', 'abrupter', 'abruptest', 'abruptly', 'abruptness', 'abruptnesses', 'abscess', 'abscessed', 'abscesses', 'abscessing', 'abscissa', 'abscissae', 'abscissas', 'abscission', 'abscissions', 'abscond', 'absconded', 'absconder', 'absconders', 'absconding', 'absconds', 'abseil', 'abseiled', 'abseiling', 'abseils', 'absence', 'absences', 'absent', 'absented', 'absentee', 'absenteeism', 'absenteeisms', 'absentees', 'absenting', 'absently', 'absentminded', 'absentmindedly', 'absentmindedness', 'absentmindednesses', 'absents', 'absinth', 'absinthe', 'absinthes', 'absinths', 'absolute', 'absolutely', 'absoluteness', 'absolutenesses', 'absolutes', 'absolutest', 'absolution', 'absolutions', 'absolutism', 'absolutisms', 'absolutist', 'absolutists', 'absolve', 'absolved', 'absolves', 'absolving', 'absorb', 'absorbed', 'absorbencies', 'absorbency', 'absorbent', 'absorbents', 'absorbing', 'absorbingly', 'absorbs', 'absorption', 'absorptions', 'absorptive', 'abstain', 'abstained', 'abstainer', 'abstainers', 'abstaining', 'abstains', 'abstemious', 'abstemiously', 'abstemiousness', 'abstemiousnesses', 'abstention', 'abstentions', 'abstinence', 'abstinences', 'abstinent', 'abstract', 'abstracted', 'abstractedly', 'abstractedness', 'abstractednesses', 'abstracting', 'abstraction', 'abstractions', 'abstractly', 'abstractness', 'abstractnesses', 'abstracts', 'abstruse', 'abstrusely', 'abstruseness', 'abstrusenesses', 'absurd', 'absurder', 'absurdest', 'absurdities', 'absurdity', 'absurdly', 'absurdness', 'absurdnesses', 'abundance', 'abundances', 'abundant', 'abundantly', 'abused', 'abuser', 'abusers', 'abuses', 'abusing', 'abusive', 'abusively', 'abusiveness', 'abusivenesses', 'abutment', 'abutments', 'abutted', 'abutting', 'abysmal', 'abysmally', 'abyssal', 'abysses', 'acacia', 'acacias', 'academe', 'academes', 'academia', 'academias', 'academic', 'academically', 'academician', 'academicians', 'academics', 'academies', 'academy', 'acanthi', 'acanthus', 'acanthuses', 'accede', 'acceded', 'accedes', 'acceding', 'accelerate', 'accelerated', 'accelerates', 'accelerating', 'acceleration', 'accelerations', 'accelerator', 'accelerators', 'accent', 'accented', 'accenting', 'accents', 'accentual', 'accentuate', 'accentuated', 'accentuates', 'accentuating', 'accentuation', 'accentuations', 'accept', 'acceptabilities', 'acceptability', 'acceptable', 'acceptableness', 'acceptablenesses', 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'younger', 'youngest', 'youngish', 'youngster', 'youngsters', 'yourself', 'yourselves', 'youthful', 'youthfully', 'youthfulness', 'youthfulnesses', 'youths', 'yowled', 'yowling', 'ytterbium', 'ytterbiums', 'yttrium', 'yttriums', 'yuccas', 'yucked', 'yuckier', 'yuckiest', 'yucking', 'yukked', 'yukking', 'yules', 'yuletide', 'yuletides', 'yummier', 'yummiest', 'yuppie', 'yuppies', 'zanier', 'zanies', 'zaniest', 'zaniness', 'zaninesses', 'zapped', 'zapper', 'zappers', 'zapping', 'zealot', 'zealotries', 'zealotry', 'zealots', 'zealous', 'zealously', 'zealousness', 'zealousnesses', 'zeals', 'zebras', 'zeitgeist', 'zeitgeists', 'zenith', 'zeniths', 'zephyr', 'zephyrs', 'zeppelin', 'zeppelins', 'zeroed', 'zeroes', 'zeroing', 'zestful', 'zestfully', 'zestfulness', 'zestfulnesses', 'zestier', 'zestiest', 'zigzag', 'zigzagged', 'zigzagging', 'zigzags', 'zilches', 'zillion', 'zillions', 'zinced', 'zincing', 'zincked', 'zincking', 'zinfandel', 'zinfandels', 'zinged', 'zinger', 'zingers', 'zingier', 'zingiest', 'zinging', 'zinnia', 'zinnias', 'zipped', 'zipper', 'zippered', 'zippering', 'zippers', 'zippier', 'zippiest', 'zipping', 'zircon', 'zirconium', 'zirconiums', 'zircons', 'zither', 'zithers', 'zlotys', 'zodiac', 'zodiacal', 'zodiacs', 'zombie', 'zombies', 'zombis', 'zonally', 'zoning', 'zonings', 'zonked', 'zookeeper', 'zookeepers', 'zoological', 'zoologically', 'zoologies', 'zoologist', 'zoologists', 'zoology', 'zoomed', 'zooming', 'zoophyte', 'zoophytes', 'zoophytic', 'zounds', 'zucchini', 'zucchinis', 'zwieback', 'zwiebacks', 'zydeco', 'zydecos', 'zygote', 'zygotes', 'zygotic', 'zymurgies', 'zymurgy']

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7a3c57f7a33d6042fdef912e67178f45cb20a155

38,845

py

Python

ydb/public/api/grpc/yq_v1_pb2_grpc.py

gridnevvvit/ydb-python-sdk

952f7b4f179595b07711934691d2e15643929cc5

[ "Apache-2.0" ]

2

2022-02-18T16:18:52.000Z

2022-02-19T20:15:05.000Z

ydb/public/api/grpc/yq_v1_pb2_grpc.py

gridnevvvit/ydb-python-sdk

952f7b4f179595b07711934691d2e15643929cc5

[ "Apache-2.0" ]

1

2022-02-09T12:49:19.000Z

2022-02-21T08:15:36.000Z

ydb/public/api/grpc/yq_v1_pb2_grpc.py

gridnevvvit/ydb-python-sdk

952f7b4f179595b07711934691d2e15643929cc5

[ "Apache-2.0" ]

2

2022-02-03T14:58:56.000Z

2022-02-22T19:42:59.000Z

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from ydb.public.api.protos import yq_pb2 as ydb_dot_public_dot_api_dot_protos_dot_yq__pb2 class YandexQueryServiceStub(object): """Missing associated documentation comment in .proto file.""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.CreateQuery = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/CreateQuery', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateQueryRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateQueryResponse.FromString, ) self.ListQueries = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/ListQueries', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListQueriesRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListQueriesResponse.FromString, ) self.DescribeQuery = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/DescribeQuery', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeQueryRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeQueryResponse.FromString, ) self.GetQueryStatus = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/GetQueryStatus', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.GetQueryStatusRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.GetQueryStatusResponse.FromString, ) self.ModifyQuery = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/ModifyQuery', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyQueryRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyQueryResponse.FromString, ) self.DeleteQuery = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/DeleteQuery', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteQueryRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteQueryResponse.FromString, ) self.ControlQuery = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/ControlQuery', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ControlQueryRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ControlQueryResponse.FromString, ) self.GetResultData = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/GetResultData', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.GetResultDataRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.GetResultDataResponse.FromString, ) self.ListJobs = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/ListJobs', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListJobsRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListJobsResponse.FromString, ) self.DescribeJob = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/DescribeJob', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeJobRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeJobResponse.FromString, ) self.CreateConnection = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/CreateConnection', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateConnectionRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateConnectionResponse.FromString, ) self.ListConnections = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/ListConnections', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListConnectionsRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListConnectionsResponse.FromString, ) self.DescribeConnection = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/DescribeConnection', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeConnectionRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeConnectionResponse.FromString, ) self.ModifyConnection = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/ModifyConnection', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyConnectionRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyConnectionResponse.FromString, ) self.DeleteConnection = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/DeleteConnection', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteConnectionRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteConnectionResponse.FromString, ) self.TestConnection = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/TestConnection', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.TestConnectionRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.TestConnectionResponse.FromString, ) self.CreateBinding = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/CreateBinding', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateBindingRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateBindingResponse.FromString, ) self.ListBindings = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/ListBindings', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListBindingsRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListBindingsResponse.FromString, ) self.DescribeBinding = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/DescribeBinding', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeBindingRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeBindingResponse.FromString, ) self.ModifyBinding = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/ModifyBinding', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyBindingRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyBindingResponse.FromString, ) self.DeleteBinding = channel.unary_unary( '/YandexQuery.V1.YandexQueryService/DeleteBinding', request_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteBindingRequest.SerializeToString, response_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteBindingResponse.FromString, ) class YandexQueryServiceServicer(object): """Missing associated documentation comment in .proto file.""" def CreateQuery(self, request, context): """Query Query is the text of an SQL request, the results of the last run and the state after the last run (partitions offsets, consumer in YDS) Create a query object with a given SQL """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ListQueries(self, request, context): """Get a list of brief queries objects """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DescribeQuery(self, request, context): """Get full information about the object of the query """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetQueryStatus(self, request, context): """Get status of the query """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ModifyQuery(self, request, context): """Change the attributes of the query (acl, name, ...) """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DeleteQuery(self, request, context): """Completely delete the query """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ControlQuery(self, request, context): """Change the state of the query lifecycle """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def GetResultData(self, request, context): """Get a results page """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ListJobs(self, request, context): """Job Job - appears immediately after starting the request and contains the request metadata Get a list of jobs """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DescribeJob(self, request, context): """Get information about the job """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def CreateConnection(self, request, context): """Connection Connection - entity that describes connection points. This can be imagined as an analogue of a network address. Create a connection object (ObjectStorage, YDB, YDS, ...) """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ListConnections(self, request, context): """Get a list of connections objects """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DescribeConnection(self, request, context): """Get information about the object of the connection """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ModifyConnection(self, request, context): """Change the attributes of the connection """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DeleteConnection(self, request, context): """Completely delete the connection """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def TestConnection(self, request, context): """Test the connection (permissions, network, ...) """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def CreateBinding(self, request, context): """Binding Binding - entity using which a schema is assigned to non-schematic data Create a binding object - bind schema with ObjectStorage object or YDS stream """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ListBindings(self, request, context): """Get a list of bindings objects """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DescribeBinding(self, request, context): """Get information about the object of the binding """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def ModifyBinding(self, request, context): """Change the attributes of the binding """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def DeleteBinding(self, request, context): """Completely delete the binding """ context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_YandexQueryServiceServicer_to_server(servicer, server): rpc_method_handlers = { 'CreateQuery': grpc.unary_unary_rpc_method_handler( servicer.CreateQuery, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateQueryRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateQueryResponse.SerializeToString, ), 'ListQueries': grpc.unary_unary_rpc_method_handler( servicer.ListQueries, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListQueriesRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListQueriesResponse.SerializeToString, ), 'DescribeQuery': grpc.unary_unary_rpc_method_handler( servicer.DescribeQuery, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeQueryRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeQueryResponse.SerializeToString, ), 'GetQueryStatus': grpc.unary_unary_rpc_method_handler( servicer.GetQueryStatus, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.GetQueryStatusRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.GetQueryStatusResponse.SerializeToString, ), 'ModifyQuery': grpc.unary_unary_rpc_method_handler( servicer.ModifyQuery, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyQueryRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyQueryResponse.SerializeToString, ), 'DeleteQuery': grpc.unary_unary_rpc_method_handler( servicer.DeleteQuery, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteQueryRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteQueryResponse.SerializeToString, ), 'ControlQuery': grpc.unary_unary_rpc_method_handler( servicer.ControlQuery, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ControlQueryRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ControlQueryResponse.SerializeToString, ), 'GetResultData': grpc.unary_unary_rpc_method_handler( servicer.GetResultData, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.GetResultDataRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.GetResultDataResponse.SerializeToString, ), 'ListJobs': grpc.unary_unary_rpc_method_handler( servicer.ListJobs, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListJobsRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListJobsResponse.SerializeToString, ), 'DescribeJob': grpc.unary_unary_rpc_method_handler( servicer.DescribeJob, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeJobRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeJobResponse.SerializeToString, ), 'CreateConnection': grpc.unary_unary_rpc_method_handler( servicer.CreateConnection, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateConnectionRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateConnectionResponse.SerializeToString, ), 'ListConnections': grpc.unary_unary_rpc_method_handler( servicer.ListConnections, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListConnectionsRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListConnectionsResponse.SerializeToString, ), 'DescribeConnection': grpc.unary_unary_rpc_method_handler( servicer.DescribeConnection, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeConnectionRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeConnectionResponse.SerializeToString, ), 'ModifyConnection': grpc.unary_unary_rpc_method_handler( servicer.ModifyConnection, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyConnectionRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyConnectionResponse.SerializeToString, ), 'DeleteConnection': grpc.unary_unary_rpc_method_handler( servicer.DeleteConnection, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteConnectionRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteConnectionResponse.SerializeToString, ), 'TestConnection': grpc.unary_unary_rpc_method_handler( servicer.TestConnection, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.TestConnectionRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.TestConnectionResponse.SerializeToString, ), 'CreateBinding': grpc.unary_unary_rpc_method_handler( servicer.CreateBinding, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateBindingRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateBindingResponse.SerializeToString, ), 'ListBindings': grpc.unary_unary_rpc_method_handler( servicer.ListBindings, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListBindingsRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListBindingsResponse.SerializeToString, ), 'DescribeBinding': grpc.unary_unary_rpc_method_handler( servicer.DescribeBinding, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeBindingRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeBindingResponse.SerializeToString, ), 'ModifyBinding': grpc.unary_unary_rpc_method_handler( servicer.ModifyBinding, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyBindingRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyBindingResponse.SerializeToString, ), 'DeleteBinding': grpc.unary_unary_rpc_method_handler( servicer.DeleteBinding, request_deserializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteBindingRequest.FromString, response_serializer=ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteBindingResponse.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'YandexQuery.V1.YandexQueryService', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class YandexQueryService(object): """Missing associated documentation comment in .proto file.""" @staticmethod def CreateQuery(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/CreateQuery', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateQueryRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateQueryResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def ListQueries(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/ListQueries', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListQueriesRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListQueriesResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def DescribeQuery(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/DescribeQuery', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeQueryRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeQueryResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def GetQueryStatus(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/GetQueryStatus', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.GetQueryStatusRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.GetQueryStatusResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def ModifyQuery(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/ModifyQuery', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyQueryRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyQueryResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def DeleteQuery(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/DeleteQuery', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteQueryRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteQueryResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def ControlQuery(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/ControlQuery', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ControlQueryRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ControlQueryResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def GetResultData(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/GetResultData', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.GetResultDataRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.GetResultDataResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def ListJobs(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/ListJobs', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListJobsRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListJobsResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def DescribeJob(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/DescribeJob', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeJobRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeJobResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def CreateConnection(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/CreateConnection', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateConnectionRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateConnectionResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def ListConnections(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/ListConnections', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListConnectionsRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListConnectionsResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def DescribeConnection(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/DescribeConnection', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeConnectionRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeConnectionResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def ModifyConnection(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/ModifyConnection', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyConnectionRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyConnectionResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def DeleteConnection(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/DeleteConnection', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteConnectionRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteConnectionResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def TestConnection(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/TestConnection', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.TestConnectionRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.TestConnectionResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def CreateBinding(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/CreateBinding', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateBindingRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.CreateBindingResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def ListBindings(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/ListBindings', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListBindingsRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ListBindingsResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def DescribeBinding(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/DescribeBinding', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeBindingRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DescribeBindingResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def ModifyBinding(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/ModifyBinding', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyBindingRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.ModifyBindingResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def DeleteBinding(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/YandexQuery.V1.YandexQueryService/DeleteBinding', ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteBindingRequest.SerializeToString, ydb_dot_public_dot_api_dot_protos_dot_yq__pb2.DeleteBindingResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

51.382275

143

0.693886

3,831

38,845

6.589402

0.058209

0.025353

0.060371

0.075463

0.854342

0.852401

0.807439

0.770916

0.764182

0.759666

0

0.005807

0.241962

38,845

755

144

51.450331

0.851491

0.04675

0

0.523364

1

0

0.089661

0.055885

0

1

0.068536

false

0

0.003115

0.03271

0.109034

0

null

0

1

0

1

0

null

0

7

7ac0002fe81ccf30bcaee2e5b697a14b5180fbd7

11,755

py

Python

modules/webpage_generation.py

last-genius/homeworks_project

759ba35003faf5888d84a8480db31d8875dda30f

[ "MIT" ]

null

modules/webpage_generation.py

last-genius/homeworks_project

759ba35003faf5888d84a8480db31d8875dda30f

[ "MIT" ]

3

2020-04-06T15:31:08.000Z

2020-05-13T06:49:15.000Z

modules/webpage_generation.py

LastGenius-edu/homeworks_project

759ba35003faf5888d84a8480db31d8875dda30f

[ "MIT" ]

3

2020-05-19T19:37:09.000Z

2020-05-19T21:54:29.000Z

def book_page(title, wordcolor): """ Generates a webpage for the book. Compatible with flask template system """ return f""" <html> <head> <meta charset="utf-8"> <link rel="stylesheet" type="text/css" href="{{{{ url_for('static', filename='css/style.css') }}}}"> <link rel="shortcut icon" type="image/png" href="{{{{ url_for('static', filename='img/favicon.png') }}}}"/> <title>{title}</title> </head> <body class="body"> <table class="tablecategory"> <tr class="rowcategory"> <td class="categorytitle" colspan="2"> <h1 class="bookcenter">{title}</h1> </td> </tr> <tr class="bookrow"> <td class="tablecell" align="center"> <div class="bookbox"> <h2>Word cloud</h2> <img width="82%" height="82%" src="{{{{ url_for('static', filename='output/wordclouds/{title}.jpg') }}}}"> </div> </td> <td class="tablecell"> <div class="bookbox" style="word-wrap: break-word;"> <h2>Color words</h2> {wordcolor} </div> </td> </tr> <tr class="bookrow"> <td class="tablecell" colspan="2"> <div class="booksinglebox"> <h2>Lexical Dispersion Plot of TOP-10 words for {title}</h2> <img width="85%" height="85%" style="" src="{{{{ url_for('static', filename='output/dispersion/{title}.png') }}}}"> </div> </td> </tr> <tr class="bookrow"> <td class="tablecell" colspan="2"> <div class="booksinglebox"> <h2>Lexical Dispersion Plot of TOP-10 female names for {title}</h2> <img width="85%" height="85%" style="" src="{{{{ url_for('static', filename='output/femalenames/{title}.png') }}}}"> </div> </td> </tr> <tr class="bookrow"> <td class="tablecell" colspan="2"> <div class="booksinglebox"> <h2>Lexical Dispersion Plot of TOP-10 male names for {title}</h2> <img width="85%" height="85%" style="" src="{{{{ url_for('static', filename='output/malenames/{title}.png') }}}}"> </div> </td> </tr> </table> </body> </html>""" def category_page(category): """ Generates a webpage for the category Compatible with flask template system """ start_page = f"""   <html> <head> <meta charset="utf-8"> <link rel="stylesheet" type="text/css" href="{{{{ url_for('static', filename='css/style.css') }}}}"> <link rel="shortcut icon" type="image/png" href="{{{{ url_for('static', filename='img/favicon.png') }}}}"/> <title>{category.name}</title> </head> <body class="body"> <table class="tablecategory"> <tr class="rowcategory"> <td class="categorytitle" colspan="7"> <h1 class="categorycenter">{category.name}</h1> </td> </tr>""" cells = len(category.books) rows = (cells // 6) + 1 for i in range(rows): start_page += """<tr class="animatedcategoryrow">""" for book in category.books[i*6:(i*6) + 6]: start_page += f"""<td class="tablecell"> <a href="https://text-analysis-ucu.herokuapp.com/title?title={book.title}"> <div class="categorybox"> <h2>{book.title}</h2> </div> </a> </td>""" start_page += """</tr>""" start_page += """</table></body></html>""" return start_page def category_list_page(category_list): """ Generates a webpage for the category Compatible with flask template system """ start_page = f"""   <html> <head> <meta charset="utf-8"> <link rel="stylesheet" type="text/css" href="{{{{ url_for('static', filename='css/style.css') }}}}"> <link rel="shortcut icon" type="image/png" href="{{{{ url_for('static', filename='img/favicon.png') }}}}"/> <title>{category_list.name}</title> </head> <body class="body"> <table class="tablecategory"> <tr class="rowcategory"> <td class="categorytitle" colspan="7"> <h1 class="categorycenter">{category_list.name}</h1> </td> </tr>""" cells = len(category_list.categories) rows = (cells // 6) + 1 for i in range(rows): start_page += """<tr class="animatedcategoryrow">""" for category in category_list.categories[i * 6:(i * 6) + 6]: start_page += f"""<td class="tablecell"> <a href="https://text-analysis-ucu.herokuapp.com/category?title={category.name}"> <div class="categorybox"> <h2>{category.name}</h2> </div> </a> </td>""" start_page += """</tr>""" start_page += """</table></body></html>""" return start_page def book_list_page(books): """ Generates a webpage for the category Compatible with flask template system """ start_page = f"""   <html> <head> <meta charset="utf-8"> <link rel="stylesheet" type="text/css" href="{{{{ url_for('static', filename='css/style.css') }}}}"> <link rel="shortcut icon" type="image/png" href="{{{{ url_for('static', filename='img/favicon.png') }}}}"/> <title>Books</title> </head> <body class="body"> <table class="tablecategory"> <tr class="rowcategory"> <td class="categorytitle" colspan="7"> <h1 class="categorycenter">Books</h1> </td> </tr>""" cells = len(books) rows = (cells // 6) + 1 for i in range(rows): start_page += """<tr class="animatedcategoryrow">""" for book in books[i * 6:(i * 6) + 6]: start_page += f"""<td class="tablecell"> <a href="https://text-analysis-ucu.herokuapp.com/title?title={book.title}"> <div class="categorybox"> <h2>{book.title}</h2> </div> </a> </td>""" start_page += """</tr>""" start_page += """</table></body></html>""" return start_page def home_page(books, authors, years, topics): """ Generates a home webpage Compatible with flask template system """ page = """   <html> <head> <meta charset="utf-8"> <link rel="stylesheet" type="text/css" href="{{ url_for('static', filename='css/style.css') }}"> <link rel="shortcut icon" type="image/png" href="{{ url_for('static', filename='img/favicon.png') }}"/> <title>Home</title> </head> <body class="body"> <h1 class="title">Textual Analysis Data Visualization</h1> <h1 class="bytitle">Project by Andriy Sultanov</h1> <div class="subtitlediv"> <table> <tr> <td> <h1 class="subtitle">Categories</h1> </td> <td> <div class='icon-scroll'></div> </td> </tr> </table> </div> <table class="tablecategories"> <tr class="tablerow"> <td> <a href="https://text-analysis-ucu.herokuapp.com/category?title=books"> <h1 class="category">Books</h1> </a> </td> """ for book in books[:5]: page += f""" <td class="tablecell"> <a href="https://text-analysis-ucu.herokuapp.com/title?title={book.title}"> <div class="box"> <h2>{book.title}</h2> </div> </a> </td>""" page += """</tr> <tr class="tablerow"> <td> <a href="https://text-analysis-ucu.herokuapp.com/category?title=authors"> <h1 class="category"1>Authors</h1> </a> </td>""" for author in authors[:5]: page += f"""<td class="tablecell"> <a href="https://text-analysis-ucu.herokuapp.com/category?title={author.name}"> <div class="box"> <h2>{author.name}</h2> </div> </a> </td>""" page += """</tr> <tr class="tablerow"> <td> <a href="https://text-analysis-ucu.herokuapp.com/category?title=years"> <h1 class="category">Years</h1> </a> </td>""" for year in years[:5]: page += f""" <td class="tablecell"> <a href="https://text-analysis-ucu.herokuapp.com/category?title={year.name}"> <div class="box"> <h2>{year.name}</h2> </div> </a> </td>""" page += """</tr> <tr class="tablerow"> <td> <h1 class="category">Topics</h1> </td> <td class="tablecell"> <div class="box"> <h2>Title</h2> </div> </td> <td class="tablecell"> <div class="box"> <h2>Title</h2> </div> </td> <td class="tablecell"> <div class="box"> <h2>Title</h2> </div> </td> <td class="tablecell"> <div class="box"> <h2>Title</h2> </div> </td> <td class="tablecell"> <div class="box"> <h2>Title</h2> </div> </td> </tr> </table> </body> </html>""" return page

37.31746

144

0.408252

1,057

11,755

4.498581

0.124882

0.029443

0.053838

0.058885

0.815352

0.77939

0.765931

0.746583

0.739432

0

0.018419

0.431901

11,755

314

145

37.436306

0.693621

0.03054

0

0.754717

1

0.086792

0.875487

0.123982

0

1

0.018868

false

0

0.037736

0

null

0

1

0

1

0

1

0

null

0

9

8f25758456f51f5a93a9a071662bd3ea80ae6524

22,930

py

Python

tests/test_vector_jacobian_product.py

PennyLaneAI/pennylane-lightning

772bf0e0a15103b46f651266212ce3178aaa9321

[ "Apache-2.0" ]

29

2020-08-12T15:05:27.000Z

2022-03-11T15:49:58.000Z

tests/test_vector_jacobian_product.py

PennyLaneAI/pennylane-lightning

772bf0e0a15103b46f651266212ce3178aaa9321

[ "Apache-2.0" ]

238

2020-08-12T15:04:28.000Z

2022-03-30T14:35:35.000Z

tests/test_vector_jacobian_product.py

PennyLaneAI/pennylane-lightning

772bf0e0a15103b46f651266212ce3178aaa9321

[ "Apache-2.0" ]

13

2020-10-14T14:59:29.000Z

2022-03-23T08:53:17.000Z

# Copyright 2018-2021 Xanadu Quantum Technologies 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. """ Tests for the ``vector_jacobian_product`` method of LightningQubit. """ import pytest import pennylane as qml from pennylane import numpy as np try: from pennylane_lightning.lightning_qubit_ops import ( VectorJacobianProductC64, VectorJacobianProductC128, ) except (ImportError, ModuleNotFoundError): pytest.skip("No binary module found. Skipping.", allow_module_level=True) class TestComputeVJP: """Tests for the numeric computation of VJPs""" @pytest.fixture def dev(self): return qml.device("lightning.qubit", wires=2) def test_unsupported_complex_type(self, dev): dev._state = dev._asarray(dev._state, np.complex256) dy = np.array([[1.0, 2.0], [3.0, 4.0]]) jac = np.array([[[1.0, 0.1, 0.2], [0.2, 0.6, 0.1]], [[0.4, -0.7, 1.2], [-0.5, -0.6, 0.7]]]) with pytest.raises(TypeError, match="Unsupported complex Type: complex256"): dev.compute_vjp(dy, jac) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_computation(self, tol, dev, C): """Test that the correct VJP is returned""" dev._state = dev._asarray(dev._state, C) dy = np.array([[1.0, 2.0], [3.0, 4.0]]) jac = np.array([[[1.0, 0.1, 0.2], [0.2, 0.6, 0.1]], [[0.4, -0.7, 1.2], [-0.5, -0.6, 0.7]]]) vjp = dev.compute_vjp(dy, jac) expected = np.tensordot(dy, jac, axes=[[0, 1], [0, 1]]) assert vjp.shape == (3,) assert np.allclose(vjp, expected, atol=tol, rtol=0) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_computation_num(self, tol, dev, C): """Test that the correct VJP is returned""" dev._state = dev._asarray(dev._state, C) dy = np.array([[1.0, 2.0], [3.0, 4.0]]) jac = np.array([[[1.0, 0.1, 0.2], [0.2, 0.6, 0.1]], [[0.4, -0.7, 1.2], [-0.5, -0.6, 0.7]]]) vjp = dev.compute_vjp(dy, jac, num=4) expected = np.tensordot(dy, jac, axes=[[0, 1], [0, 1]]) assert vjp.shape == (3,) assert np.allclose(vjp, expected, atol=tol, rtol=0) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_computation_num_error(self, dev, C): """Test that the correct VJP is returned""" dev._state = dev._asarray(dev._state, C) dy = np.array([[1.0, 2.0], [3.0, 4.0]]) jac = np.array([[[1.0, 0.1, 0.2], [0.2, 0.6, 0.1]], [[0.4, -0.7, 1.2], [-0.5, -0.6, 0.7]]]) with pytest.raises(ValueError, match="Invalid size for the gradient-output vector"): dev.compute_vjp(dy, jac, num=3) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_jacobian_is_none(self, dev, C): """A None Jacobian returns a None VJP""" dev._state = dev._asarray(dev._state, C) dy = np.array([[1.0, 2.0], [3.0, 4.0]]) jac = None vjp = dev.compute_vjp(dy, jac) assert vjp is None @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_zero_dy(self, dev, C): """A zero dy vector will return a zero matrix""" dev._state = dev._asarray(dev._state, C) dy = np.zeros([2, 2]) jac = np.array([[[1.0, 0.1, 0.2], [0.2, 0.6, 0.1]], [[0.4, -0.7, 1.2], [-0.5, -0.6, 0.7]]]) vjp = dev.compute_vjp(dy, jac) assert np.all(vjp == np.zeros([3])) class TestVectorJacobianProduct: """Tests for the vector_jacobian_product function""" @pytest.fixture def dev(self): return qml.device("lightning.qubit", wires=2) def test_unsupported_complex_type(self, dev): dev._state = dev._asarray(dev._state, np.complex256) x, y, z = [0.5, 0.3, -0.7] with qml.tape.JacobianTape() as tape: qml.RX(0.4, wires=[0]) qml.Rot(x, y, z, wires=[0]) qml.RY(-0.2, wires=[0]) qml.expval(qml.PauliZ(0)) tape.trainable_params = {1, 2, 3} dy = np.array([1.0]) with pytest.raises(TypeError, match="Unsupported complex Type: complex256"): dev.vector_jacobian_product(tape, dy) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_use_device_state(self, tol, dev, C): """Tests that when using the device state, the correct answer is still returned.""" dev._state = dev._asarray(dev._state, C) x, y, z = [0.5, 0.3, -0.7] with qml.tape.JacobianTape() as tape: qml.RX(0.4, wires=[0]) qml.Rot(x, y, z, wires=[0]) qml.RY(-0.2, wires=[0]) qml.expval(qml.PauliZ(0)) tape.trainable_params = {1, 2, 3} dy = np.array([1.0]) jac1, vjp1 = dev.vector_jacobian_product(tape, dy) tape.execute(dev) jac2, vjp2 = dev.vector_jacobian_product(tape, dy, use_device_state=True) assert np.allclose(vjp1, vjp2, atol=tol, rtol=0) assert np.allclose(jac1, jac2, atol=tol, rtol=0) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_provide_starting_state(self, tol, dev, C): """Tests provides correct answer when provided starting state.""" dev._state = dev._asarray(dev._state, C) x, y, z = [0.5, 0.3, -0.7] with qml.tape.JacobianTape() as tape: qml.RX(0.4, wires=[0]) qml.Rot(x, y, z, wires=[0]) qml.RY(-0.2, wires=[0]) qml.expval(qml.PauliZ(0)) tape.trainable_params = {1, 2, 3} dy = np.array([1.0]) jac1, vjp1 = dev.vector_jacobian_product(tape, dy) tape.execute(dev) jac2, vjp2 = dev.vector_jacobian_product(tape, dy, starting_state=dev._pre_rotated_state) assert np.allclose(vjp1, vjp2, atol=tol, rtol=0) assert np.allclose(jac1, jac2, atol=tol, rtol=0) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_not_expval(self, dev, C): """Test if a QuantumFunctionError is raised for a tape with measurements that are not expectation values""" dev._state = dev._asarray(dev._state, C) with qml.tape.JacobianTape() as tape: qml.RX(0.1, wires=0) qml.var(qml.PauliZ(0)) dy = np.array([1.0]) with pytest.raises(qml.QuantumFunctionError, match="Adjoint differentiation method does"): dev.vector_jacobian_product(tape, dy) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_finite_shots_warns(self, C): """Tests warning raised when finite shots specified""" dev = qml.device("lightning.qubit", wires=1, shots=1) dev._state = dev._asarray(dev._state, C) with qml.tape.JacobianTape() as tape: qml.expval(qml.PauliZ(0)) dy = np.array([1.0]) with pytest.warns( UserWarning, match="Requested adjoint differentiation to be computed with finite shots." ): dev.vector_jacobian_product(tape, dy) from pennylane_lightning import LightningQubit as lq @pytest.mark.skipif(not lq._CPP_BINARY_AVAILABLE, reason="Lightning binary required") @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_unsupported_op(self, dev, C): """Test if a QuantumFunctionError is raised for an unsupported operation, i.e., multi-parameter operations that are not qml.Rot""" dev._state = dev._asarray(dev._state, C) with qml.tape.JacobianTape() as tape: qml.CRot(0.1, 0.2, 0.3, wires=[0, 1]) qml.expval(qml.PauliZ(0)) dy = np.array([1.0]) with pytest.raises( qml.QuantumFunctionError, match="The CRot operation is not supported using the" ): dev.vector_jacobian_product(tape, dy) with qml.tape.JacobianTape() as tape: qml.SingleExcitation(0.1, wires=[0, 1]) qml.expval(qml.PauliZ(0)) with pytest.raises( qml.QuantumFunctionError, match="The SingleExcitation operation is not supported using the", ): dev.vector_jacobian_product(tape, dy) @pytest.mark.skipif(not lq._CPP_BINARY_AVAILABLE, reason="Lightning binary required") @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_proj_unsupported(self, dev, C): """Test if a QuantumFunctionError is raised for a Projector observable""" dev._state = dev._asarray(dev._state, C) with qml.tape.JacobianTape() as tape: qml.CRX(0.1, wires=[0, 1]) qml.expval(qml.Projector([0, 1], wires=[0, 1])) dy = np.array([1.0]) with pytest.raises( qml.QuantumFunctionError, match="differentiation method does not support the Projector" ): dev.vector_jacobian_product(tape, dy) with qml.tape.JacobianTape() as tape: qml.CRX(0.1, wires=[0, 1]) qml.expval(qml.Projector([0], wires=[0]) @ qml.PauliZ(0)) with pytest.raises( qml.QuantumFunctionError, match="differentiation method does not support the Projector" ): dev.vector_jacobian_product(tape, dy) @pytest.mark.skipif(not lq._CPP_BINARY_AVAILABLE, reason="Lightning binary required") @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_unsupported_hermitian_expectation(self, dev, C): dev._state = dev._asarray(dev._state, C) obs = np.array([[1, 0], [0, -1]], dtype=np.complex128, requires_grad=False) with qml.tape.JacobianTape() as tape: qml.RY(0.1, wires=(0,)) qml.expval(qml.Hermitian(obs, wires=(0,))) dy = np.array([1.0]) with pytest.raises( qml.QuantumFunctionError, match="Lightning adjoint differentiation method does not" ): dev.vector_jacobian_product(tape, dy) with qml.tape.JacobianTape() as tape: qml.RY(0.1, wires=(0,)) qml.expval(qml.Hermitian(obs, wires=(0,)) @ qml.PauliZ(wires=1)) with pytest.raises( qml.QuantumFunctionError, match="Lightning adjoint differentiation method does not" ): dev.vector_jacobian_product(tape, dy) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_no_trainable_parameters(self, dev, C): """A tape with no trainable parameters will simply return None""" dev._state = dev._asarray(dev._state, C) x = 0.4 with qml.tape.QuantumTape() as tape: qml.RX(x, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) tape.trainable_params = {} dy = np.array([1.0]) jac, vjp = dev.vector_jacobian_product(tape, dy) assert vjp is None assert jac is None @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_no_trainable_parameters_(self, dev, C): """A tape with no trainable parameters will simply return None""" dev._state = dev._asarray(dev._state, C) x = 0.4 with qml.tape.QuantumTape() as tape: qml.RX(x, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) tape.trainable_params = {} dy = np.array([1.0]) jac, vjp = dev.vector_jacobian_product(tape, dy) assert vjp is None assert jac is None @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_zero_dy(self, dev, C): """A zero dy vector will return no tapes and a zero matrix""" dev._state = dev._asarray(dev._state, C) x = 0.4 y = 0.6 with qml.tape.QuantumTape() as tape: qml.RX(x, wires=0) qml.RX(y, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) tape.trainable_params = {0, 1} dy = np.array([0.0]) jac, vjp = dev.vector_jacobian_product(tape, dy) assert np.all(vjp == np.zeros([len(tape.trainable_params)])) assert jac is None @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_single_expectation_value(self, tol, dev, C): """Tests correct output shape and evaluation for a tape with a single expval output""" dev._state = dev._asarray(dev._state, C) x = 0.543 y = -0.654 with qml.tape.JacobianTape() as tape: qml.RX(x, wires=[0]) qml.RY(y, wires=[1]) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0) @ qml.PauliX(1)) tape.trainable_params = {0, 1} dy = np.array([1.0]) jac1, vjp = dev.vector_jacobian_product(tape, dy) jac2 = dev.adjoint_jacobian(tape) expected = np.array([-np.sin(y) * np.sin(x), np.cos(y) * np.cos(x)]) assert np.allclose(vjp, expected, atol=tol, rtol=0) assert np.allclose(jac1, jac2, atol=tol, rtol=0) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_multiple_expectation_values(self, tol, dev, C): """Tests correct output shape and evaluation for a tape with multiple expval outputs""" dev._state = dev._asarray(dev._state, C) x = 0.543 y = -0.654 with qml.tape.JacobianTape() as tape: qml.RX(x, wires=[0]) qml.RY(y, wires=[1]) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) qml.expval(qml.PauliX(1)) tape.trainable_params = {0, 1} dy = np.array([1.0, 2.0]) jac1, vjp = dev.vector_jacobian_product(tape, dy) jac2 = dev.adjoint_jacobian(tape) expected = np.array([-np.sin(x), 2 * np.cos(y)]) assert np.allclose(vjp, expected, atol=tol, rtol=0) assert np.allclose(jac1, jac2, atol=tol, rtol=0) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_prob_expectation_values(self, dev, C): """Tests correct output shape and evaluation for a tape with prob and expval outputs""" dev._state = dev._asarray(dev._state, C) x = 0.543 y = -0.654 with qml.tape.JacobianTape() as tape: qml.RX(x, wires=[0]) qml.RY(y, wires=[1]) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) qml.probs(wires=[0, 1]) tape.trainable_params = {0, 1} dy = np.array([1.0, 2.0, 3.0, 4.0, 5.0]) with pytest.raises(qml.QuantumFunctionError, match="Adjoint differentiation method does"): dev.vector_jacobian_product(tape, dy) class TestBatchVectorJacobianProduct: """Tests for the batch_vjp function""" @pytest.fixture def dev(self): return qml.device("lightning.qubit", wires=2) def test_unsupported_complex_type(self, dev): dev._state = dev._asarray(dev._state, np.complex256) with qml.tape.QuantumTape() as tape1: qml.RX(0.4, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) with qml.tape.JacobianTape() as tape2: qml.RX(0.4, wires=0) qml.RX(0.6, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) tape1.trainable_params = {0} tape2.trainable_params = {0, 1} tapes = [tape1, tape2] dys = [np.array([1.0]), np.array([1.0])] with pytest.raises(TypeError, match="Unsupported complex Type: complex256"): dev.batch_vjp(tapes, dys) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_one_tape_no_trainable_parameters(self, dev, C): """A tape with no trainable parameters will simply return None""" dev._state = dev._asarray(dev._state, C) with qml.tape.QuantumTape() as tape1: qml.RX(0.4, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) with qml.tape.JacobianTape() as tape2: qml.RX(0.4, wires=0) qml.RX(0.6, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) tape1.trainable_params = {} tape2.trainable_params = {0, 1} tapes = [tape1, tape2] dys = [np.array([1.0]), np.array([1.0])] jacs, vjps = dev.batch_vjp(tapes, dys) assert vjps[0] is None assert vjps[1] is not None assert jacs[0] is None assert jacs[1] is not None @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_all_tapes_no_trainable_parameters(self, dev, C): """If all tapes have no trainable parameters all outputs will be None""" dev._state = dev._asarray(dev._state, C) with qml.tape.QuantumTape() as tape1: qml.RX(0.4, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) with qml.tape.QuantumTape() as tape2: qml.RX(0.4, wires=0) qml.RX(0.6, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) tape1.trainable_params = set() tape2.trainable_params = set() tapes = [tape1, tape2] dys = [np.array([1.0]), np.array([1.0])] jacs, vjps = dev.batch_vjp(tapes, dys) assert vjps[0] is None assert vjps[1] is None assert jacs[0] is None assert jacs[1] is None @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_zero_dy(self, dev, C): """A zero dy vector will return no tapes and a zero matrix""" dev._state = dev._asarray(dev._state, C) with qml.tape.QuantumTape() as tape1: qml.RX(0.4, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) with qml.tape.JacobianTape() as tape2: qml.RX(0.4, wires=0) qml.RX(0.6, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) tape1.trainable_params = {0} tape2.trainable_params = {0, 1} tapes = [tape1, tape2] dys = [np.array([0.0]), np.array([1.0])] jacs, vjps = dev.batch_vjp(tapes, dys) assert np.allclose(vjps[0], 0) assert jacs[0] is None @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_reduction_append(self, dev, C): """Test the 'append' reduction strategy""" dev._state = dev._asarray(dev._state, C) with qml.tape.JacobianTape() as tape1: qml.RX(0.4, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) with qml.tape.JacobianTape() as tape2: qml.RX(0.4, wires=0) qml.RX(0.6, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) tape1.trainable_params = {0} tape2.trainable_params = {0, 1} tapes = [tape1, tape2] dys = [np.array([1.0]), np.array([1.0])] jacs, vjps = dev.batch_vjp(tapes, dys, reduction="append") jac0 = dev.adjoint_jacobian(tape1) jac1 = dev.adjoint_jacobian(tape2) assert len(vjps) == 2 assert all(isinstance(v, np.ndarray) for v in vjps) assert all(len(v) == len(t.trainable_params) for t, v in zip(tapes, vjps)) assert np.allclose(jacs[0], jac0) assert np.allclose(jacs[1], jac1) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_reduction_append_callable(self, dev, C): """Test the 'append' reduction strategy""" dev._state = dev._asarray(dev._state, C) with qml.tape.JacobianTape() as tape1: qml.RX(0.4, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) with qml.tape.JacobianTape() as tape2: qml.RX(0.4, wires=0) qml.RX(0.6, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) tape1.trainable_params = {0} tape2.trainable_params = {0, 1} tapes = [tape1, tape2] dys = [np.array([1.0]), np.array([1.0])] jacs, vjps = dev.batch_vjp(tapes, dys, reduction=list.append) jac0 = dev.adjoint_jacobian(tape1) jac1 = dev.adjoint_jacobian(tape2) assert len(vjps) == 2 assert all(isinstance(v, np.ndarray) for v in vjps) assert all(len(v) == len(t.trainable_params) for t, v in zip(tapes, vjps)) assert np.allclose(jacs[0], jac0) assert np.allclose(jacs[1], jac1) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_reduction_extend(self, dev, C): """Test the 'extend' reduction strategy""" dev._state = dev._asarray(dev._state, C) with qml.tape.JacobianTape() as tape1: qml.RX(0.4, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) with qml.tape.JacobianTape() as tape2: qml.RX(0.4, wires=0) qml.RX(0.6, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) tape1.trainable_params = {0} tape2.trainable_params = {0, 1} tapes = [tape1, tape2] dys = [np.array([1.0]), np.array([1.0])] jacs, vjps = dev.batch_vjp(tapes, dys, reduction="extend") jac0 = dev.adjoint_jacobian(tape1) jac1 = dev.adjoint_jacobian(tape2) assert len(vjps) == sum(len(t.trainable_params) for t in tapes) assert np.allclose(jacs[0], jac0) assert np.allclose(jacs[1], jac1) @pytest.mark.parametrize("C", [np.complex64, np.complex128]) def test_reduction_extend_callable(self, dev, C): """Test the 'extend' reduction strategy""" dev._state = dev._asarray(dev._state, C) with qml.tape.JacobianTape() as tape1: qml.RX(0.4, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) with qml.tape.JacobianTape() as tape2: qml.RX(0.4, wires=0) qml.RX(0.6, wires=0) qml.CNOT(wires=[0, 1]) qml.expval(qml.PauliZ(0)) tape1.trainable_params = {0} tape2.trainable_params = {0, 1} tapes = [tape1, tape2] dys = [np.array([1.0]), np.array([1.0])] _, vjps = dev.batch_vjp(tapes, dys, reduction=list.extend) assert len(vjps) == sum(len(t.trainable_params) for t in tapes)

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Python

tests/rule_engine/normalisation_rule.py

cnorthwood/ternip

9bdca293585d97206ed1d0bc250789582645d885

[ "Apache-2.0" ]

54

2015-01-08T14:45:00.000Z

2021-11-06T03:32:51.000Z

tests/rule_engine/normalisation_rule.py

cnorthwood/ternip

9bdca293585d97206ed1d0bc250789582645d885

[ "Apache-2.0" ]

4

2015-03-23T00:31:39.000Z

2016-01-27T20:41:32.000Z

tests/rule_engine/normalisation_rule.py

cnorthwood/ternip

9bdca293585d97206ed1d0bc250789582645d885

[ "Apache-2.0" ]

14

2015-03-23T00:21:28.000Z

2020-01-20T16:45:29.000Z

#!/usr/bin/env python import unittest from ternip.timex import Timex from ternip.rule_engine.normalisation_rule import NormalisationRule class normalisation_rule_Test(unittest.TestCase): def testApplyValue(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testApplyValue', r'{#2} + "01" + {#1}') t = Timex(type='date') self.assertTrue(rule.apply(t, '', '', [('06', 'POS', set([t])), ('th', 'POS', set([t])), ('January', 'POS', set([t])), ('1996', 'POS', set([t]))], [], [])[0]) self.assertEquals(t.value, '19960106') def testApplyChangeType(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testApplyChangeType', change_type=r'"non-date"') t = Timex(type='date') self.assertTrue(rule.apply(t, '', '', [('06', 'POS', set([t])), ('th', 'POS', set([t])), ('January', 'POS', set([t])), ('1996', 'POS', set([t]))], [], [])[0]) self.assertEquals(t.type, 'non-date') def testApplyFreq(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testApplyFreq', freq=r'"1D"') t = Timex(type='date') self.assertTrue(rule.apply(t, '', '', [('06', 'POS', set([t])), ('th', 'POS', set([t])), ('January', 'POS', set([t])), ('1996', 'POS', set([t]))], [], [])[0]) self.assertEquals(t.freq, '1D') def testApplyQuant(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testApplyQuant', quant=r'"EVERY"') t = Timex(type='date') self.assertTrue(rule.apply(t, '', '', [('06', 'POS', set([t])), ('th', 'POS', set([t])), ('January', 'POS', set([t])), ('1996', 'POS', set([t]))], [], [])[0]) self.assertEquals(t.quant, 'EVERY') def testApplyInsensitive(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><january~.+><(\d{4})~.+>', 'date', 'testApplyInsensitive', r'{#2} + "01" + {#1}') t = Timex(type='date') self.assertTrue(rule.apply(t, '', '', [('06', 'POS', set([t])), ('th', 'POS', set([t])), ('January', 'POS', set([t])), ('1996', 'POS', set([t]))], [], [])[0]) self.assertEquals(t.value, '19960106') def testNoApply(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><February~.+><(\d{4})~.+>', 'date', 'testNoApply', r'{#2} + "01" + {#1}') t = Timex(type='date') self.assertFalse(rule.apply(t, '', '', [('06', 'POS', set([t])), ('th', 'POS', set([t])), ('January', 'POS', set([t])), ('1996', 'POS', set([t]))], [], [])[0]) self.assertEquals(t.value, None) def testApplyCorrectType(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testApplyCorrectType', r'{#2} + "01" + {#1}') t = Timex(type='time') self.assertFalse(rule.apply(t, '', '', [('06', 'POS', set([t])), ('th', 'POS', set([t])), ('January', 'POS', set([t])), ('1996', 'POS', set([t]))], [], [])[0]) def testPosGuardAllows(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testPosGuardAllows', r'{#2} + "01" + {#1}', guards = [r'<th~.+><January~.+>']) t = Timex(type='date') (before, body, after) = ( [('We', 'POS', set()), ('took', 'POS', set()), ('a', 'POS', set()), ('plane', 'POS', set()), ('on', 'POS', set()), ('the', 'POS', set())], [('06', 'POS', set()), ('th', 'POS', set()), ('January', 'POS', set()), ('1996', 'POS', set())], [('to', 'POS', set()), ('Atlanta', 'POS', set())] ) self.assertTrue(rule.apply(t, '', '', body, before, after)[0]) self.assertEquals(t.value, '19960106') def testPosGuardBlocks(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testPosGuardBlocks', r'{#2} + "01" + {#1}', guards = [r'<th~.+><February~.+>']) t = Timex(type='date') (before, body, after) = ( [('We', 'POS', set()), ('took', 'POS', set()), ('a', 'POS', set()), ('plane', 'POS', set()), ('on', 'POS', set()), ('the', 'POS', set())], [('06', 'POS', set()), ('th', 'POS', set()), ('January', 'POS', set()), ('1996', 'POS', set())], [('to', 'POS', set()), ('Atlanta', 'POS', set())] ) self.assertFalse(rule.apply(t, '', '', body, before, after)[0]) def testNegGuardAllows(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testNegGuardAllows', r'{#2} + "01" + {#1}', guards = [r'!<th~.+><February~.+>']) t = Timex(type='date') (before, body, after) = ( [('We', 'POS', set()), ('took', 'POS', set()), ('a', 'POS', set()), ('plane', 'POS', set()), ('on', 'POS', set()), ('the', 'POS', set())], [('06', 'POS', set()), ('th', 'POS', set()), ('January', 'POS', set()), ('1996', 'POS', set())], [('to', 'POS', set()), ('Atlanta', 'POS', set())] ) self.assertTrue(rule.apply(t, '', '', body, before, after)[0]) self.assertEquals(t.value, '19960106') def testNegGuardBlocks(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testNegGuardBlocks', r'{#2} + "01" + {#1}', guards = [r'!<th~.+><January~.+>']) t = Timex(type='date') (before, body, after) = ( [('We', 'POS', set()), ('took', 'POS', set()), ('a', 'POS', set()), ('plane', 'POS', set()), ('on', 'POS', set()), ('the', 'POS', set())], [('06', 'POS', set()), ('th', 'POS', set()), ('January', 'POS', set()), ('1996', 'POS', set())], [('to', 'POS', set()), ('Atlanta', 'POS', set())] ) self.assertFalse(rule.apply(t, '', '', body, before, after)[0]) def testPosBeforeAllows(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testPosBeforeAllows', r'{#2} + "01" + {#1}', before_guards = [r'<on~.+><the~.+>$']) t = Timex(type='date') (before, body, after) = ( [('We', 'POS', set()), ('took', 'POS', set()), ('a', 'POS', set()), ('plane', 'POS', set()), ('on', 'POS', set()), ('the', 'POS', set())], [('06', 'POS', set()), ('th', 'POS', set()), ('January', 'POS', set()), ('1996', 'POS', set())], [('to', 'POS', set()), ('Atlanta', 'POS', set())] ) self.assertTrue(rule.apply(t, '', '', body, before, after)[0]) self.assertEquals(t.value, '19960106') def testPosBeforeBlocks(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testPosBeforeBlocks', r'{#2} + "01" + {#1}', before_guards = [r'<to~.+>']) t = Timex(type='date') (before, body, after) = ( [('We', 'POS', set()), ('took', 'POS', set()), ('a', 'POS', set()), ('plane', 'POS', set()), ('on', 'POS', set()), ('the', 'POS', set())], [('06', 'POS', set()), ('th', 'POS', set()), ('January', 'POS', set()), ('1996', 'POS', set())], [('to', 'POS', set()), ('Atlanta', 'POS', set())] ) self.assertFalse(rule.apply(t, '', '', body, before, after)[0]) def testNegBeforeAllows(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testNegBeforeAllows', r'{#2} + "01" + {#1}', before_guards = [r'!<to~.+><Atlanta~.+>']) t = Timex(type='date') (before, body, after) = ( [('We', 'POS', set()), ('took', 'POS', set()), ('a', 'POS', set()), ('plane', 'POS', set()), ('on', 'POS', set()), ('the', 'POS', set())], [('06', 'POS', set()), ('th', 'POS', set()), ('January', 'POS', set()), ('1996', 'POS', set())], [('to', 'POS', set()), ('Atlanta', 'POS', set())] ) self.assertTrue(rule.apply(t, '', '', body, before, after)[0]) self.assertEquals(t.value, '19960106') def testNegBeforeBlocks(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testNegBeforeBlocks', r'{#2} + "01" + {#1}', before_guards = [r'!<a~.+><plane~.+>']) t = Timex(type='date') (before, body, after) = ( [('We', 'POS', set()), ('took', 'POS', set()), ('a', 'POS', set()), ('plane', 'POS', set()), ('on', 'POS', set()), ('the', 'POS', set())], [('06', 'POS', set()), ('th', 'POS', set()), ('January', 'POS', set()), ('1996', 'POS', set())], [('to', 'POS', set()), ('Atlanta', 'POS', set())] ) self.assertFalse(rule.apply(t, '', '', body, before, after)[0]) def testPosAfterAllows(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testPosAfterAllows', r'{#2} + "01" + {#1}', after_guards = [r'<to~.+><Atlanta~.+>']) t = Timex(type='date') (before, body, after) = ( [('We', 'POS', set()), ('took', 'POS', set()), ('a', 'POS', set()), ('plane', 'POS', set()), ('on', 'POS', set()), ('the', 'POS', set())], [('06', 'POS', set()), ('th', 'POS', set()), ('January', 'POS', set()), ('1996', 'POS', set())], [('to', 'POS', set()), ('Atlanta', 'POS', set())] ) self.assertTrue(rule.apply(t, '', '', body, before, after)[0]) self.assertEquals(t.value, '19960106') def testPosAfterBlocks(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testPosAfterBlocks', r'{#2} + "01" + {#1}', after_guards = [r'<a~.+><plane~.+>']) t = Timex(type='date') (before, body, after) = ( [('We', 'POS', set()), ('took', 'POS', set()), ('a', 'POS', set()), ('plane', 'POS', set()), ('on', 'POS', set()), ('the', 'POS', set())], [('06', 'POS', set()), ('th', 'POS', set()), ('January', 'POS', set()), ('1996', 'POS', set())], [('to', 'POS', set()), ('Atlanta', 'POS', set())] ) self.assertFalse(rule.apply(t, '', '', body, before, after)[0]) def testNegAfterAllows(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testNegAfterAllows', r'{#2} + "01" + {#1}', after_guards = [r'!<a~.+><plane~.+>']) t = Timex(type='date') (before, body, after) = ( [('We', 'POS', set()), ('took', 'POS', set()), ('a', 'POS', set()), ('plane', 'POS', set()), ('on', 'POS', set()), ('the', 'POS', set())], [('06', 'POS', set()), ('th', 'POS', set()), ('January', 'POS', set()), ('1996', 'POS', set())], [('to', 'POS', set()), ('Atlanta', 'POS', set())] ) self.assertTrue(rule.apply(t, '', '', body, before, after)[0]) self.assertEquals(t.value, '19960106') def testNegAfterBlocks(self): rule = NormalisationRule(r'<(\d+)~.+><th~.+><January~.+><(\d{4})~.+>', 'date', 'testNegAfterBlocks', r'{#2} + "01" + {#1}', after_guards = [r'!<to~.+><Atlanta~.+>']) t = Timex(type='date') (before, body, after) = ( [('We', 'POS', set()), ('took', 'POS', set()), ('a', 'POS', set()), ('plane', 'POS', set()), ('on', 'POS', set()), ('the', 'POS', set())], [('06', 'POS', set()), ('th', 'POS', set()), ('January', 'POS', set()), ('1996', 'POS', set())], [('to', 'POS', set()), ('Atlanta', 'POS', set())] ) self.assertFalse(rule.apply(t, '', '', body, before, after)[0])

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Python

tests/pipeline/test_detect_faces.py

dregula/image-processing-pipeline

7df1963247caa01b503980fe152138b88df6c526

[ "MIT" ]

45

2019-10-24T17:20:04.000Z

2022-02-21T16:29:15.000Z

tests/pipeline/test_detect_faces.py

XiaohangShi/image-processing-pipeline

7df1963247caa01b503980fe152138b88df6c526

[ "MIT" ]

2

2020-08-02T05:24:14.000Z

2020-09-25T05:31:08.000Z

tests/pipeline/test_detect_faces.py

XiaohangShi/image-processing-pipeline

7df1963247caa01b503980fe152138b88df6c526

[ "MIT" ]

16

2019-10-24T17:20:11.000Z

2021-11-30T05:59:04.000Z

import os from pipeline.capture_images import CaptureImages from pipeline.detect_faces import DetectFaces import tests.config as config class TestDetectFaces: def test_detect_faces(self): capture_images = CaptureImages(os.path.join(config.ASSETS_IMAGES_DIR, "friends")) prototxt = os.path.join(config.MODELS_FACE_DETECTOR_DIR, "deploy.prototxt.txt") model = os.path.join(config.MODELS_FACE_DETECTOR_DIR, "res10_300x300_ssd_iter_140000.caffemodel") detect_faces = DetectFaces(prototxt=prototxt, model=model) pipeline = iter(capture_images | detect_faces) data = next(pipeline) assert len(data["faces"]) data = next(pipeline) assert len(data["faces"]) data = next(pipeline) assert len(data["faces"]) data = next(pipeline) assert len(data["faces"]) def test_detect_faces_in_batch(self): capture_images = CaptureImages(os.path.join(config.ASSETS_IMAGES_DIR, "friends")) prototxt = os.path.join(config.MODELS_FACE_DETECTOR_DIR, "deploy.prototxt.txt") model = os.path.join(config.MODELS_FACE_DETECTOR_DIR, "res10_300x300_ssd_iter_140000.caffemodel") detect_faces = DetectFaces(prototxt=prototxt, model=model, batch_size=2) pipeline = iter(capture_images | detect_faces) data = next(pipeline) assert len(data["faces"]) data = next(pipeline) assert len(data["faces"]) data = next(pipeline) assert len(data["faces"]) data = next(pipeline) assert len(data["faces"])

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56b9fe9cdbb9a17890a1b669ae357754d13b291b

7,971

py

Python

tests/utils/boolrule/test_boolrule.py

DomineCore/bamboo-engine

fb4583e70f9e1e87d9d48c2393db8d8104306f37

[ "MIT" ]

55

2021-09-07T11:50:35.000Z

2022-03-23T13:19:38.000Z

tests/utils/boolrule/test_boolrule.py

DomineCore/bamboo-engine

fb4583e70f9e1e87d9d48c2393db8d8104306f37

[ "MIT" ]

64

2021-09-07T12:04:12.000Z

2022-03-29T03:47:18.000Z

tests/utils/boolrule/test_boolrule.py

DomineCore/bamboo-engine

fb4583e70f9e1e87d9d48c2393db8d8104306f37

[ "MIT" ]

20

2021-09-07T11:52:08.000Z

2022-03-28T08:05:22.000Z

# -*- coding: utf-8 -*- """ Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available. Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved. Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://opensource.org/licenses/MIT 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 bamboo_engine.utils.boolrule.boolrule import BoolRule def test_eq(): assert BoolRule("1 == 1").test() == True assert BoolRule('"1" == 1').test() == True assert BoolRule("True == true").test() == True assert BoolRule("False == false").test() == True assert BoolRule("1 == True").test() == True assert BoolRule("0 == False").test() == True assert BoolRule('"1" == True').test() == True assert BoolRule('"0" == False').test() == True assert BoolRule('"3.14" == 3.14').test() == True assert BoolRule('"abc" == "abc"').test() == True assert BoolRule("1 == 2").test() == False assert BoolRule('123 == "123a"').test() == False assert BoolRule('1 == "2"').test() == False assert BoolRule('True == "true"').test() == False assert BoolRule('False == "false"').test() == False def test_ne(): assert BoolRule("1 != 2").test() == True assert BoolRule('"1" != 2').test() == True assert BoolRule('True != "true"').test() == True assert BoolRule('"abc" != "cba"').test() == True assert BoolRule("1 != 1").test() == False def test_gt(): assert BoolRule("2 > 1").test() == True assert BoolRule('"2" > 1').test() == True assert BoolRule("1 > 2").test() == False assert BoolRule('"1" > 2').test() == False def test_lt(): assert BoolRule("1 < 2").test() == True assert BoolRule('"1" < 2').test() == True assert BoolRule("2 < 1").test() == False assert BoolRule("2 < 2").test() == False def test_in(): assert BoolRule("1 in (1, 2)").test() == True assert BoolRule('1 in ("1", "2")').test() == True assert BoolRule('"1" in (1, 2)').test() == True assert BoolRule('"1" in ("1", "2")').test() == True assert BoolRule("1 in (0, 2)").test() == False assert BoolRule('1 in ("11", 2)').test() == False def test_notin(): assert BoolRule("1 notin (0, 2)").test() == True assert BoolRule('1 notin ("0", "2")').test() == True assert BoolRule('"abc" notin (0, 2)').test() == True def test_and(): assert BoolRule("1 < 2 and 2 < 3").test() == True assert BoolRule('"a" < "s" and 2 < 3').test() == True assert BoolRule("1 > 2 and 2 > 1").test() == False assert BoolRule("2 > 1 and 1 > 2").test() == False assert BoolRule("2 > 1 and 1 > 2").test() == False assert BoolRule('"s" > "s" and 2 < 3').test() == False assert BoolRule('"s" < "s" and 2 < 3').test() == False def test_or(): assert BoolRule("1 < 2 or 2 < 3").test() == True assert BoolRule("1 < 2 or 2 < 1").test() == True assert BoolRule("1 > 2 or 2 > 1").test() == True assert BoolRule('"s" > "s" or "su" > "st"').test() == True assert BoolRule("1 > 2 or 2 > 3").test() == False assert BoolRule('"a" > "s" or "s" > "st"').test() == False def test_context(): context = {"${v1}": 1, "${v2}": "1"} assert BoolRule("${v1} == ${v2}").test(context) == True assert BoolRule("${v1} == 1").test(context) == True assert BoolRule('${v1} == "1"').test(context) == True assert BoolRule('${v2} == "1"').test(context) == True assert BoolRule('${v2} == "1"').test(context) == True assert BoolRule('${v1} in ("1")').test(context) == True def test_gt_or_equal(): context = {"${v1}": 1, "${v2}": "1"} assert BoolRule("${v1} >= ${v2}").test(context) == True assert BoolRule("${v1} >= 1").test(context) == True assert BoolRule('${v1} >= "1"').test(context) == True assert BoolRule("${v1} >= 0").test(context) == True assert BoolRule('${v1} >= "0"').test(context) == True # assert BoolRule('${v1} >= 2').test(context) == True assert BoolRule('${v2} >= "2"').test(context) == False def test_lt_or_equal(): context = {"${v1}": 1, "${v2}": "1"} assert BoolRule("${v1} <= ${v2}").test(context) == True assert BoolRule("${v1} <= 1").test(context) == True assert BoolRule('${v1} <= "2"').test(context) == True assert BoolRule('${v1} <= "123456789111"').test(context) == True assert BoolRule("${v1} <= 123456789111").test(context) == True assert BoolRule("${v1} <= 0").test(context) == False assert BoolRule('${v1} <= "0"').test(context) == False assert BoolRule('"a" <= "b"').test(context) == True assert BoolRule('"a" <= "49"').test(context) == False def test_true_equal(): context = {"${v1}": True, "${v2}": "True"} # 下面的表达式测试不符合预期 # assert BoolRule('${v1} == ${v2}').test(context) == True assert BoolRule("${v1} == True").test(context) == True assert BoolRule("${v1} == true").test(context) == True assert BoolRule("${v1} == ${v1}").test(context) == True assert BoolRule("${v1} == 1").test(context) == True assert BoolRule('${v1} == "1"').test(context) == True assert BoolRule('${v1} == "s"').test(context) == False assert BoolRule("${v1} == 0").test(context) == False assert BoolRule('${v1} == "0"').test(context) == False assert BoolRule("${v1} == false").test(context) == False assert BoolRule("${v1} == False").test(context) == False assert BoolRule('${v1} == "false"').test(context) == False assert BoolRule('${v1} == "False"').test(context) == False def test_false_equal(): context = {"${v1}": False, "${v2}": "False"} # 下面的表达式测试不符合预期 # assert BoolRule('${v1} == "False"').test(context) == True assert BoolRule("${v1} == ${v1}").test(context) == True assert BoolRule("${v1} == false").test(context) == True assert BoolRule("${v1} == False").test(context) == True assert BoolRule('${v1} == "0"').test(context) == True assert BoolRule("${v1} == 0").test(context) == True assert BoolRule('${v1} == "0"').test(context) == True assert BoolRule('${v1} == "1"').test(context) == False assert BoolRule("${v1} == true").test(context) == False assert BoolRule('${v1} == "true"').test(context) == False assert BoolRule("${v1} == True").test(context) == False assert BoolRule('${v1} == "True"').test(context) == False assert BoolRule('${v1} == "s"').test(context) == False def test_multi_or(): assert BoolRule('("s" > "s" or "su" > "st") or (1 > 3 and 2 < 3)').test() == True assert BoolRule('(1 > 3 and 2 < 3) or ("s" > "s" or "su" > "st")').test() == True assert BoolRule('(1 < 3 and 2 < 3) or ("s" > "s" or "su" > "st")').test() == True assert ( BoolRule( '(1 > 2 or 2 > 3) or ("s" > "s" or "su" > "st") or (4 > 5 and 5 < 6)' ).test() == True ) assert BoolRule('(1 > 2 or 2 > 3) or ("s" > "s" or "su" < "st")').test() == False assert ( BoolRule( '(1 > 2 or 2 > 3) or ("s" > "s" or "su" < "st") or (4 > 5 and 5 < 6)' ).test() == False ) def test_multi_and(): assert BoolRule('("s" > "s" or "su" > "st") and (1 < 3 and 2 < 3)').test() == True assert BoolRule('(1 < 2 or 2 > 3) and ("s" > "s" or "su" < "st")').test() == False assert BoolRule('(1 > 2 or 2 > 3) and ("s" > "s" or "su" > "st")').test() == False assert BoolRule('(1 > 2 or 2 > 3) and ("s" > "s" or "su" < "st")').test() == False assert ( BoolRule( '(1 < 3 and 2 < 3) and ("s" > "s" or "su" > "st") and (4 > 5 and 5 < 6)' ).test() == False )

37.957143

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7,971

4.066667

0.113889

0.34745

0.266393

0.175319

0.79622

0.745674

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7,971

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1

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null

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7

56f3330aedf13b215fcf781e6e069d4dfcfc0730

174

py

Python

CCC/CCC_12_J3_Icon_Scaling.py

Togohogo1/pg

ee3c36acde47769c66ee13a227762ee677591375

[ "MIT" ]

null

CCC/CCC_12_J3_Icon_Scaling.py

Togohogo1/pg

ee3c36acde47769c66ee13a227762ee677591375

[ "MIT" ]

1

2021-10-14T18:26:56.000Z

CCC/CCC_12_J3_Icon_Scaling.py

Togohogo1/pg

ee3c36acde47769c66ee13a227762ee677591375

[ "MIT" ]

1

2021-08-06T03:39:55.000Z

k = int(input()) for i in range(k): print("*"*k + "x"*k + "*"*k) for i in range(k): print(" "*k + "x"*k + "x"*k) for i in range(k): print("*"*k + " "*k + "*"*k)

19.333333

32

0.413793

33

174

2.181818

0.272727

0.166667

0.25

0.458333

0.833333

0.555556

0

0.258621

174

8

33

21.75

0.55814

0

0.428571

0

0.051724

0

1

0

false

0

0.428571

0

null

0

1

0

1

0

null

0

1

0

8

56f70627e722f524a50c5ea86da51d95af84570a

242

py

Python

kiqpo/core/Navigate.py

bionic-py/Bionic

a54c85107a6a2aa9a9563b6b3e1f9bb64d63faa4

[ "MIT" ]

9

2021-10-31T03:38:16.000Z

2021-12-17T00:03:36.000Z

kiqpo/core/Navigate.py

bionic-py/Bionic

a54c85107a6a2aa9a9563b6b3e1f9bb64d63faa4

[ "MIT" ]

12

2021-11-11T14:18:09.000Z

2021-12-03T14:00:25.000Z

kiqpo/core/Navigate.py

kiqpo/kiqpo

a54c85107a6a2aa9a9563b6b3e1f9bb64d63faa4

[ "MIT" ]

3

2022-03-03T18:30:53.000Z

2022-03-09T13:29:39.000Z

def navigate(path,windowRender,title,windowClassName): return f"""<div class='Navigate-kiqpo' > <a onclick="Navigate{path,windowRender,title,windowClassName}" href='{path}' id='Navigate'>{title}</a> </div>"""

40.333333

118

0.636364

26

242

5.923077

0.576923

0.155844

0.311688

0.376623

0.571429

0

0.181818

242

5

119

48.4

0.777778

0

0.25

0.690083

0.438017

0

1

0.25

false

0

0.25

0.5

0

1

0

null

0

1

0

1

0

1

null

0

1

0

1

0

9

7130cb1db445319eaf85f57edd058266feee5a55

4,452

py

Python

tests/bfuck/test_interpreter.py

JavierLuna/esolangs

a1da280f42cef910745c0dd1f89da7454ddb03ad

[ "MIT" ]

null

tests/bfuck/test_interpreter.py

JavierLuna/esolangs

a1da280f42cef910745c0dd1f89da7454ddb03ad

[ "MIT" ]

null

tests/bfuck/test_interpreter.py

JavierLuna/esolangs

a1da280f42cef910745c0dd1f89da7454ddb03ad

[ "MIT" ]

null

import unittest from io import StringIO from unittest.mock import patch from interpreters import BrainFuckInterpreter class TestBFInterpreterUnitary(unittest.TestCase): def test_ast_caching_no_execution(self): interpreter = BrainFuckInterpreter("-.-.-.-.-.-.-.-") self.assertIsNotNone(interpreter.env) self.assertFalse(interpreter._code_is_dirty) self.assertIsNone(interpreter._cached_ast) def test_ast_caching_execute_once(self): interpreter = BrainFuckInterpreter("+") self.assertIsNotNone(interpreter.env) self.assertIsNone(interpreter._cached_ast) self.assertFalse(interpreter._code_is_dirty) interpreter.execute() self.assertIsNotNone(interpreter._cached_ast) self.assertFalse(interpreter._code_is_dirty) def test_ast_caching_execute_twice(self): interpreter = BrainFuckInterpreter("+") self.assertIsNotNone(interpreter.env) self.assertIsNone(interpreter._cached_ast) self.assertFalse(interpreter._code_is_dirty) interpreter.execute() self.assertIsNotNone(interpreter._cached_ast) cached_ast = interpreter._cached_ast self.assertFalse(interpreter._code_is_dirty) interpreter.execute() self.assertIs(cached_ast, interpreter._cached_ast) self.assertFalse(interpreter._code_is_dirty) def test_ast_caching_code_dirty(self): interpreter = BrainFuckInterpreter("+") self.assertIsNotNone(interpreter.env) self.assertIsNone(interpreter._cached_ast) self.assertFalse(interpreter._code_is_dirty) interpreter.execute() self.assertIsNotNone(interpreter._cached_ast) cached_ast = interpreter._cached_ast self.assertFalse(interpreter._code_is_dirty) interpreter.execute() self.assertIs(cached_ast, interpreter._cached_ast) self.assertFalse(interpreter._code_is_dirty) interpreter.code = "-" self.assertTrue(interpreter._code_is_dirty) self.assertEqual(cached_ast, interpreter._cached_ast) interpreter.execute() self.assertIsNot(cached_ast, interpreter._cached_ast) self.assertFalse(interpreter._code_is_dirty) def test_ast_code_clean_if_same_value(self): interpreter = BrainFuckInterpreter("+") self.assertIsNotNone(interpreter.env) self.assertIsNone(interpreter._cached_ast) self.assertFalse(interpreter._code_is_dirty) interpreter.execute() self.assertIsNotNone(interpreter._cached_ast) cached_ast = interpreter._cached_ast self.assertFalse(interpreter._code_is_dirty) interpreter.execute() self.assertIs(cached_ast, interpreter._cached_ast) self.assertFalse(interpreter._code_is_dirty) interpreter.code = "+" self.assertFalse(interpreter._code_is_dirty) self.assertEqual(cached_ast, interpreter._cached_ast) interpreter.execute() self.assertIs(cached_ast, interpreter._cached_ast) self.assertFalse(interpreter._code_is_dirty) class TestBFPrograms(unittest.TestCase): def test_add_two_cells(self): code = "++++>+++++<[>+<-]" interpreter = BrainFuckInterpreter(code) interpreter.execute() self.assertEqual(interpreter.env.current_cell, 0) interpreter.env.cell_pointer += 1 self.assertEqual(interpreter.env.current_cell, 9) @patch('sys.stdout', new_callable=StringIO) def test_print_char(self, mock_stdout): code = "+" * ord("a") + "." interpreter = BrainFuckInterpreter(code) interpreter.execute() self.assertEqual(mock_stdout.getvalue(), "a") @patch('sys.stdout', new_callable=StringIO) @patch('sys.stdin.read') def test_uppercase_char(self, mock_stdin, mock_stdout): mock_stdin.return_value = 'a' code = "," + "-" * 32 + "." interpreter = BrainFuckInterpreter(code) interpreter.execute() self.assertEqual(mock_stdout.getvalue(), "A") @patch('sys.stdout', new_callable=StringIO) def test_print_hello_world(self, mock_stdout): code = "++++++++++[>+++++++>++++++++++>+++>+<<<<-]>++" \ ".>+.+++++++..+++.>++.<<+++++++++++++++.>.+++.------.--------.>+.>." interpreter = BrainFuckInterpreter(code) interpreter.execute() self.assertEqual(mock_stdout.getvalue(), "Hello World!\n")

39.052632

83

0.680818

440

4,452

6.563636

0.15

0.090374

0.131579

0.121884

0.83795

0.816136

0.793629

0.777008

0.725762

0.706025

0

0.001397

0.195867

4,452

113

84

39.39823

0.805307

0

0.652632

0

0.048518

0.024933

0.010526

0

0.442105

1

0.094737

false

0

0.042105

0

0.157895

0.021053

0

null

0

1

0

null

0

1

0

7

856bcda1ce8e8ae52422d377a86ada697d23a73b

212

py

Python

main/online/admin.py

MahanBi/Back-End

5074ac1d341ad2addd1750e4aea2e6800be2bfef

[ "MIT" ]

null

main/online/admin.py

MahanBi/Back-End

5074ac1d341ad2addd1750e4aea2e6800be2bfef

[ "MIT" ]

null

main/online/admin.py

MahanBi/Back-End

5074ac1d341ad2addd1750e4aea2e6800be2bfef

[ "MIT" ]

1

2021-12-06T21:36:28.000Z

from django.contrib import admin from .models import Room, RoomMember, OnlineRanking, Word admin.site.register(Room) admin.site.register(RoomMember) admin.site.register(Word) admin.site.register(OnlineRanking)

23.555556

57

0.820755

28

212

6.214286

0.428571

0.206897

0.390805

0.241379

0

0.080189

212

8

58

26.5

0.892308

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

8587059822ec510943db50c4450d0319055d99c9

66

py

Python

topsis_101883048_HarnoorSandhu/__init__.py

sharnoor404/topsis_101883048_HarnoorSandhu

577494c18ca0245ad2c8c3e71d6585b2e7a63246

[ "MIT" ]

null

topsis_101883048_HarnoorSandhu/__init__.py

sharnoor404/topsis_101883048_HarnoorSandhu

577494c18ca0245ad2c8c3e71d6585b2e7a63246

[ "MIT" ]

null

topsis_101883048_HarnoorSandhu/__init__.py

sharnoor404/topsis_101883048_HarnoorSandhu

577494c18ca0245ad2c8c3e71d6585b2e7a63246

[ "MIT" ]

null

from topsis_101883048_HarnoorSandhu.topsis_101883048 import topsis

66

0.939394

8

66

7.375

0.625

0.508475

0

0.285714

0.045455

66

1

66

0.650794

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

7

858ffa7e7ba4e6f61e1fd04e88c69fa0ea3f6445

27

py

Python

addons/auto_generate_product_sku/wizard/__init__.py

marionumza/vocal_v12

480990e919c9410903e06e7813ee92800bd6a569

[ "Unlicense" ]

null

addons/auto_generate_product_sku/wizard/__init__.py

marionumza/vocal_v12

480990e919c9410903e06e7813ee92800bd6a569

[ "Unlicense" ]

null

addons/auto_generate_product_sku/wizard/__init__.py

marionumza/vocal_v12

480990e919c9410903e06e7813ee92800bd6a569

[ "Unlicense" ]

1

2021-05-05T07:59:08.000Z

from . import generate_sku

13.5

26

0.814815

4

27

5.25

1

0

0.148148

27

1

27

0.913043

0

1

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

a413586bc8593f912b6806681b78dddc2358c086

96

py

Python

main.py

antoniofdias/lullaby

04a6fa106cac4e0a6e5bd53e473325afdbbbf129

[ "MIT" ]

null

main.py

antoniofdias/lullaby

04a6fa106cac4e0a6e5bd53e473325afdbbbf129

[ "MIT" ]

null

main.py

antoniofdias/lullaby

04a6fa106cac4e0a6e5bd53e473325afdbbbf129

[ "MIT" ]

null

import detect_closed_eyes import mqtt_client detect_closed_eyes.detect_eyes(mqtt_client.client)

24

50

0.90625

15

96

5.333333

0.4

0.3

0.4

0

0.052083

96

4

50

24

0.879121

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

a41a419fc83250c724e38f2ca0e34eb7f3e04218

770

py

Python

py/lightControl.py

leeleavitt/autoGrow

b4454c0a00aed8111a86d72a667df49a7d285ce4

[ "MIT" ]

1

2020-02-09T23:17:58.000Z

py/lightControl.py

leeleavitt/autoGrow

b4454c0a00aed8111a86d72a667df49a7d285ce4

[ "MIT" ]

1

2020-01-26T15:27:57.000Z

py/lightControl.py

leeleavitt/autoGrow

b4454c0a00aed8111a86d72a667df49a7d285ce4

[ "MIT" ]

null

import RPi.GPIO as GPIO import time GPIO.setmode(GPIO.BCM) GPIO.setup(17, GPIO.OUT, initial=GPIO.LOW) time.sleep(1) GPIO.output(17, GPIO.HIGH) time.sleep(1) GPIO.output(17, GPIO.LOW) time.sleep(1) GPIO.output(17, GPIO.HIGH) time.sleep(1) GPIO.output(17, GPIO.LOW) time.sleep(1) GPIO.output(17, GPIO.HIGH) time.sleep(1) GPIO.output(17, GPIO.LOW) time.sleep(1) GPIO.output(17, GPIO.HIGH) time.sleep(1) GPIO.output(17, GPIO.LOW) time.sleep(1) GPIO.output(17, GPIO.HIGH) time.sleep(1) GPIO.output(17, GPIO.LOW) time.sleep(1) GPIO.output(17, GPIO.HIGH) time.sleep(1) GPIO.output(17, GPIO.LOW) time.sleep(1) GPIO.output(17, GPIO.HIGH) time.sleep(1) GPIO.output(17, GPIO.LOW) time.sleep(1) GPIO.output(17, GPIO.HIGH) time.sleep(1) GPIO.output(17, GPIO.LOW) GPIO.cleanup()

17.906977

42

0.72987

149

770

3.771812

0.114094

0.181495

0.284698

0.398577

0.852313

0

0.070822

0.083117

770

43

17.906977

0.725212

0

0.864865

0

1

0

true

0

0.054054

0

0.054054

0

null

0

1

0

1

0

null

0

1

0

10

a45a38de655a407697923d0c47aa1c91de7f7bbd

112,642

py

Python

tests/unit/test_service.py

SofyaTavrovskaya/xrally-kubernetes

302e8850affc4310ce99795d8ec65443fc582055

[ "Apache-2.0" ]

null

tests/unit/test_service.py

SofyaTavrovskaya/xrally-kubernetes

302e8850affc4310ce99795d8ec65443fc582055

[ "Apache-2.0" ]

null

tests/unit/test_service.py

SofyaTavrovskaya/xrally-kubernetes

302e8850affc4310ce99795d8ec65443fc582055

[ "Apache-2.0" ]

1

2020-01-23T20:09:35.000Z

# All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import mock from kubernetes.client import rest from rally.common import cfg from rally import exceptions as rally_exc from tests.unit import test from xrally_kubernetes import service CONF = cfg.CONF class KubernetesServiceTestCase(test.TestCase): def setUp(self): super(KubernetesServiceTestCase, self).setUp() from kubernetes import client as k8s_config from kubernetes.client import api_client from kubernetes.client.apis import core_v1_api if hasattr(k8s_config, "ConfigurationObject"): p_mock_config = mock.patch.object(k8s_config, "ConfigurationObject") else: p_mock_config = mock.patch.object(k8s_config, "Configuration") self.config_cls = p_mock_config.start() self.config = self.config_cls.return_value self.addCleanup(p_mock_config.stop) p_mock_api = mock.patch.object(api_client, "ApiClient") self.api_cls = p_mock_api.start() self.api = self.api_cls.return_value self.addCleanup(p_mock_api.stop) p_mock_client = mock.patch.object(core_v1_api, "CoreV1Api") self.client_cls = p_mock_client.start() self.client = self.client_cls.return_value self.addCleanup(p_mock_client.stop) CONF.set_override("status_poll_interval", 0, "kubernetes") CONF.set_override("status_total_retries", 1, "kubernetes") CONF.set_override("start_prepoll_delay", 0, "kubernetes") self._k8s_client = None @property def k8s_client(self): if self._k8s_client is None: spec = { "api_key_prefix": "stub_prefix", "api_key": "stub_key", "server": "stub_server", "certificate-authority": "stub_auth" } self._k8s_client = service.Kubernetes( spec, name_generator=mock.MagicMock() ) return self._k8s_client class ServiceTestCase(KubernetesServiceTestCase): def test__init__kubernetes_version(self): from kubernetes import client as k8s_config spec = { "client-certificate": "stub_cert", "client-key": "stub_key", "server": "stub_server", "certificate-authority": "stub_auth" } k8s_service = service.Kubernetes(spec) self.config_cls.assert_called_once() if hasattr(k8s_config, "ConfigurationObject"): self.assertEqual(3, k8s_service._k8s_client_version) else: self.assertEqual(4, k8s_service._k8s_client_version) def test___init___cert_without_tls(self): # setUp method called it self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() spec = { "client-certificate": "stub_cert", "client-key": "stub_key", "server": "stub_server", "certificate-authority": "stub_auth" } service.Kubernetes(spec) self.config_cls.assert_called_once() self.api_cls.assert_called_once() self.client_cls.assert_called_once() eq_vals = { "host": "stub_server", "cert_file": "stub_cert", "key_file": "stub_key", "ssl_ca_cert": "stub_auth" } for key, value in eq_vals.items(): self.assertEqual(value, getattr(self.config, key)) def test___init___cert_with_tls(self): # setUp method called it self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() spec = { "client-certificate": "stub_cert", "client-key": "stub_key", "server": "stub_server", "certificate-authority": "stub_auth", "tls_insecure": True } service.Kubernetes(spec) self.config_cls.assert_called_once() self.api_cls.assert_called_once() self.client_cls.assert_called_once() eq_vals = { "host": "stub_server", "cert_file": "stub_cert", "key_file": "stub_key", "ssl_ca_cert": "stub_auth", "verify_ssl": False } for key, value in eq_vals.items(): self.assertEqual(value, getattr(self.config, key)) def test___init___api(self): # setUp method called it self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() spec = { "api_key_prefix": "stub_prefix", "api_key": "stub_key", "server": "stub_server", "certificate-authority": "stub_auth" } service.Kubernetes(spec) self.config_cls.assert_called_once() self.api_cls.assert_called_once() self.client_cls.assert_called_once() eq_vals = { "host": "stub_server", "api_key_prefix": {"authorization": "stub_prefix"}, "api_key": {"authorization": "stub_key"}, "ssl_ca_cert": "stub_auth" } for key, value in eq_vals.items(): self.assertEqual(value, getattr(self.config, key)) def test_create_spec_from_file(self): from kubernetes.config import kube_config patcher = mock.patch('os.path.exists') mock_thing = patcher.start() mock_thing.return_value = True kube_config.load_kube_config = mock.MagicMock() self.config_cls.reset_mock() self.config.host = "stub host" self.config.ssl_ca_cert = "stub crt" self.config.api_key = {"authorization": "stub"} self.config.api_key_prefix = {} self.config.cert_file = "client crt" self.config.key_file = "client key" self.config.verify_ssl = False expected = { "host": "stub host", "certificate-authority": "stub crt", "api_key": {"authorization": "stub"}, "api_key_prefix": {}, "client-certificate": "client crt", "client-key": "client key", "tls_insecure": False } self.assertEqual(expected, service.Kubernetes.create_spec_from_file()) patcher.stop() def test_create_spec_from_file_not_found(self): from kubernetes.config import kube_config patcher = mock.patch('os.path.exists') mock_thing = patcher.start() mock_thing.return_value = False kube_config.load_kube_config = mock.MagicMock() self.config_cls.reset_mock() self.assertEqual({}, service.Kubernetes.create_spec_from_file()) kube_config.load_kube_config.assert_not_called() self.config_cls.assert_not_called() patcher.stop() class NamespacesTestCase(KubernetesServiceTestCase): def test_list_namespaces(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() spec = { "api_key_prefix": "stub_prefix", "api_key": "stub_key", "server": "stub_server", "certificate-authority": "stub_auth" } k8s_client = service.Kubernetes(spec) items = [] expected = [] for i in range(3): item = mock.MagicMock() item.metadata.name = i item.metadata.uid = i item.metadata.labels = {"test": "test-%s" % i} items.append(item) expected.append({"name": i, "uid": i, "labels": {"test": "test-%s" % i}}) resp = mock.MagicMock() resp.items = items self.client.list_namespace = mock.MagicMock() self.client.list_namespace.return_value = resp list_ns = k8s_client.list_namespaces() self.assertEqual(expected, list_ns) def test_create_namespace(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "test" self.k8s_client.create_namespace(status_wait=False) expected = { "apiVersion": "v1", "kind": "Namespace", "metadata": { "name": "test", "labels": { "role": "test" } } } self.client.create_namespace.assert_called_once_with(body=expected) def test_create_and_wait_namespace_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() read_resp = mock.MagicMock() read_resp.status.phase = "Active" self.client.read_namespace.return_value = read_resp self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "test" self.k8s_client.create_namespace(status_wait=True) self.client.create_namespace.assert_called_once() self.client.read_namespace.assert_called_once_with("test") def test_create_and_wait_namespace_fail_create(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.create_namespace.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_namespace, status_wait=True ) self.client.create_namespace.assert_called_once() self.assertEqual(0, self.client.read_namespace.call_count) def test_create_and_wait_namespace_fail_read(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespace.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_namespace, status_wait=True ) self.client.create_namespace.assert_called_once() self.client.read_namespace.assert_called_once() def test_create_and_wait_namespace_read_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") read_resp = mock.MagicMock() read_resp.status.phase = "Pending" self.client.read_namespace.return_value = read_resp self.assertRaises( rally_exc.TimeoutException, self.k8s_client.create_namespace, status_wait=True ) self.client.create_namespace.assert_called_once() self.assertEqual(2, self.client.read_namespace.call_count) def test_delete_namespace(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() from kubernetes import client as k8s_config self.k8s_client.delete_namespace("test", status_wait=False) self.client.delete_namespace.assert_called_once_with( body=k8s_config.V1DeleteOptions(), name="test" ) def test_delete_namespace_and_wait_termination_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespace.side_effect = [ rest.ApiException(status=404, reason="Not found") ] self.k8s_client.delete_namespace("test") self.client.delete_namespace.assert_called_once() self.client.read_namespace.assert_called_once_with("test") def test_delete_namespace_and_wait_termination_delete_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.delete_namespace.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_namespace, "test" ) self.client.delete_namespace.assert_called_once() self.assertEqual(0, self.client.read_namespace.call_count) def test_delete_namespace_and_wait_termination_read_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespace.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_namespace, "test" ) self.client.delete_namespace.assert_called_once() self.client.read_namespace.assert_called_once() def test_delete_namespace_and_wait_termination_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") self.assertRaises( rally_exc.TimeoutException, self.k8s_client.delete_namespace, "test" ) self.client.delete_namespace.assert_called_once() self.assertEqual(2, self.client.read_namespace.call_count) def test_create_serviceaccount(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() expected = { "apiVersion": "v1", "kind": "ServiceAccount", "metadata": { "name": "test" } } self.k8s_client.create_serviceaccount("test", namespace="ns") self.client.create_namespaced_service_account.assert_called_once_with( body=expected, namespace="ns" ) def test_create_secret(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() expected = { "apiVersion": "v1", "kind": "Secret", "metadata": { "name": "test", "annotations": { "kubernetes.io/service-account.name": "test" } } } self.k8s_client.create_secret("test", namespace="ns") self.client.create_namespaced_secret.assert_called_once_with( body=expected, namespace="ns" ) class PodTestCase(KubernetesServiceTestCase): def test_create_pod(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_pod( image="test/image", namespace="ns", status_wait=False) expected = { "apiVersion": "v1", "kind": "Pod", "metadata": { "name": "name", "labels": { "role": "name" } }, "spec": { "containers": [ { "name": "name", "image": "test/image" } ] } } self.client.create_namespaced_pod.assert_called_once_with( body=expected, namespace="ns" ) def test_create_pod_with_command(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_pod( image="test/image", namespace="ns", command=["ls"], status_wait=False) expected = { "apiVersion": "v1", "kind": "Pod", "metadata": { "name": "name", "labels": { "role": "name" } }, "spec": { "containers": [ { "name": "name", "image": "test/image", "command": ["ls"] } ] } } self.client.create_namespaced_pod.assert_called_once_with( body=expected, namespace="ns" ) def test_create_pod_with_incorrect_command(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" ex = self.assertRaises( ValueError, self.k8s_client.create_pod, image="test/image", namespace="ns", command="ls", status_wait=False ) self.assertEqual("'command' argument should be list or tuple type, " "found %s" % type("ls"), str(ex)) self.assertEqual( 0, self.client.create_namespaced_pod.call_count ) def test_create_pod_with_sa(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() client = self.k8s_client client._spec["serviceaccounts"] = True self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" client.create_pod( image="test/image", namespace="ns", status_wait=False) expected = { "apiVersion": "v1", "kind": "Pod", "metadata": { "name": "name", "labels": { "role": "name" } }, "spec": { "serviceAccountName": "ns", "containers": [ { "name": "name", "image": "test/image" } ] } } self.client.create_namespaced_pod.assert_called_once_with( body=expected, namespace="ns" ) def test_create_and_wait_pod_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() read_resp = mock.MagicMock() read_resp.status.phase = "Running" self.client.read_namespaced_pod.return_value = read_resp self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_pod( image="test/image", namespace="ns", status_wait=True ) self.client.create_namespaced_pod.assert_called_once() self.client.read_namespaced_pod.assert_called_once_with( "name", namespace="ns" ) def test_create_and_wait_pod_fail_create(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.create_namespaced_pod.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_pod, image="test/image", namespace="ns", status_wait=True ) self.client.create_namespaced_pod.assert_called_once() self.assertEqual(0, self.client.read_namespaced_pod.call_count) def test_create_and_wait_pod_fail_read(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_pod.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_pod, image="test/image", namespace="ns", status_wait=True ) self.client.create_namespaced_pod.assert_called_once() self.client.read_namespaced_pod.assert_called_once() def test_create_and_wait_pod_read_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") read_resp = mock.MagicMock() read_resp.status.phase = "Pending" self.client.read_namespaced_pod.return_value = read_resp self.assertRaises( rally_exc.TimeoutException, self.k8s_client.create_pod, image="test/image", namespace="ns", status_wait=True ) self.client.create_namespaced_pod.assert_called_once() self.assertEqual(2, self.client.read_namespaced_pod.call_count) def test_delete_pod(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() from kubernetes import client as k8s_config self.k8s_client.delete_pod("test", namespace="ns", status_wait=False) self.client.delete_namespaced_pod.assert_called_once_with( "test", body=k8s_config.V1DeleteOptions(), namespace="ns" ) def test_delete_pod_and_wait_termination_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_pod.side_effect = [ rest.ApiException(status=404, reason="Not found") ] self.k8s_client.delete_pod("test", namespace="ns") self.client.delete_namespaced_pod.assert_called_once() self.client.read_namespaced_pod.assert_called_once_with( "test", namespace="ns") def test_delete_pod_and_wait_termination_delete_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.delete_namespaced_pod.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_pod, "test", namespace="ns" ) self.client.delete_namespaced_pod.assert_called_once() self.assertEqual(0, self.client.read_namespaced_pod.call_count) def test_delete_pod_and_wait_termination_read_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_pod.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_pod, "test", namespace="ns" ) self.client.delete_namespaced_pod.assert_called_once() self.client.read_namespaced_pod.assert_called_once() def test_delete_pod_and_wait_termination_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") self.assertRaises( rally_exc.TimeoutException, self.k8s_client.delete_pod, "test", namespace="ns" ) self.client.delete_namespaced_pod.assert_called_once() self.assertEqual(2, self.client.read_namespaced_pod.call_count) class ReplicationControllerTestCase(KubernetesServiceTestCase): def test_create_replication_controller(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_rc( image="test/image", replicas=2, namespace="ns", status_wait=False) expected = { "apiVersion": "v1", "kind": "ReplicationController", "metadata": { "name": "name", }, "spec": { "replicas": 2, "selector": { "app": mock.ANY }, "template": { "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "containers": [ { "name": "name", "image": "test/image" } ] } } } } (self.client.create_namespaced_replication_controller .assert_called_once_with( body=expected, namespace="ns" )) def test_create_replication_controller_with_command(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_rc( image="test/image", replicas=2, namespace="ns", command=["ls"], status_wait=False) expected = { "apiVersion": "v1", "kind": "ReplicationController", "metadata": { "name": "name", }, "spec": { "replicas": 2, "selector": { "app": mock.ANY }, "template": { "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "containers": [ { "name": "name", "image": "test/image", "command": ["ls"] } ] } } } } (self.client.create_namespaced_replication_controller .assert_called_once_with( body=expected, namespace="ns" )) def test_create_replication_controller_with_incorrect_command(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" ex = self.assertRaises( ValueError, self.k8s_client.create_rc, image="test/image", replicas=2, namespace="ns", command="ls", status_wait=False ) self.assertEqual("'command' argument should be list or tuple type, " "found %s" % type("ls"), str(ex)) self.assertEqual( 0, self.client.create_namespaced_replication_controller.call_count ) def test_create_and_wait_replication_controller_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() resp = mock.MagicMock() resp.status.replicas = 2 resp.status.ready_replicas = 2 self.client.read_namespaced_replication_controller.return_value = resp self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_rc( image="test/image", namespace="ns", replicas=2, status_wait=True ) (self.client.create_namespaced_replication_controller .assert_called_once()) (self.client.read_namespaced_replication_controller .assert_called_once_with( "name", namespace="ns" )) def test_create_and_wait_replication_controller_fail_create(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.create_namespaced_replication_controller.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_rc, image="test/image", namespace="ns", replicas=2, status_wait=True ) (self.client.create_namespaced_replication_controller .assert_called_once()) self.assertEqual( 0, self.client.read_namespaced_replication_controller.call_count ) def test_create_and_wait_replication_controller_fail_read(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_replication_controller.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_rc, image="test/image", namespace="ns", replicas=2, status_wait=True ) (self.client.create_namespaced_replication_controller .assert_called_once()) (self.client.read_namespaced_replication_controller .assert_called_once()) def test_create_and_wait_replication_controller_read_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") resp = mock.MagicMock() resp.status.ready_replicas = None self.client.read_namespaced_replication_controller.return_value = resp self.assertRaises( rally_exc.TimeoutException, self.k8s_client.create_rc, image="test/image", replicas=2, namespace="ns", status_wait=True ) (self.client.create_namespaced_replication_controller .assert_called_once()) self.assertEqual( 2, self.client.read_namespaced_replication_controller.call_count ) def test_delete_replication_controller(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() from kubernetes import client as k8s_config self.k8s_client.delete_rc("test", namespace="ns", status_wait=False) (self.client.delete_namespaced_replication_controller .assert_called_once_with( "test", body=k8s_config.V1DeleteOptions(), namespace="ns" )) def test_delete_replication_controller_and_wait_termination_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_replication_controller.side_effect = [ rest.ApiException(status=404, reason="Not found") ] self.k8s_client.delete_rc("test", namespace="ns") (self.client.delete_namespaced_replication_controller .assert_called_once()) (self.client.read_namespaced_replication_controller .assert_called_once_with("test", namespace="ns")) def test_delete_replication_controller_delete_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.delete_namespaced_replication_controller.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_rc, "test", namespace="ns" ) (self.client.delete_namespaced_replication_controller .assert_called_once()) self.assertEqual( 0, self.client.read_namespaced_replication_controller.call_count ) def test_delete_replication_controller_read_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_replication_controller.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_rc, "test", namespace="ns" ) (self.client.delete_namespaced_replication_controller .assert_called_once()) (self.client.read_namespaced_replication_controller .assert_called_once_with("test", namespace="ns")) def test_delete_replication_controller_and_wait_termination_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") self.assertRaises( rally_exc.TimeoutException, self.k8s_client.delete_rc, "test", namespace="ns" ) (self.client.delete_namespaced_replication_controller .assert_called_once()) self.assertEqual( 2, self.client.read_namespaced_replication_controller.call_count ) class ReplicaSetServiceTestCase(KubernetesServiceTestCase): def setUp(self): super(ReplicaSetServiceTestCase, self).setUp() from kubernetes.client.apis import extensions_v1beta1_api p_mock_client = mock.patch.object(extensions_v1beta1_api, "ExtensionsV1beta1Api") self.client_cls = p_mock_client.start() self.client = self.client_cls.return_value self.addCleanup(p_mock_client.stop) def test_create_replicaset(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_replicaset( image="test/image", replicas=2, namespace="ns", status_wait=False) expected = { "apiVersion": "extensions/v1beta1", "kind": "ReplicaSet", "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "replicas": 2, "selector": { "matchLabels": { "app": mock.ANY } }, "template": { "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "containers": [ { "name": "name", "image": "test/image" } ] } } } } (self.client.create_namespaced_replica_set .assert_called_once_with( body=expected, namespace="ns" )) def test_create_replicaset_with_command(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_replicaset( image="test/image", replicas=2, namespace="ns", command=["ls"], status_wait=False) expected = { "apiVersion": "extensions/v1beta1", "kind": "ReplicaSet", "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "replicas": 2, "selector": { "matchLabels": { "app": mock.ANY } }, "template": { "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "containers": [ { "name": "name", "image": "test/image", "command": ["ls"] } ] } } } } (self.client.create_namespaced_replica_set .assert_called_once_with( body=expected, namespace="ns" )) def test_create_replicaset_with_incorrect_command(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" ex = self.assertRaises( ValueError, self.k8s_client.create_replicaset, image="test/image", replicas=2, namespace="ns", command="ls", status_wait=False ) self.assertEqual("'command' argument should be list or tuple type, " "found %s" % type("ls"), str(ex)) self.assertEqual( 0, self.client.create_namespaced_replica_set.call_count ) def test_create_and_wait_replicaset_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() resp = mock.MagicMock() resp.status.replicas = 2 resp.status.ready_replicas = 2 self.client.read_namespaced_replica_set.return_value = resp self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_replicaset( image="test/image", namespace="ns", replicas=2, status_wait=True ) (self.client.create_namespaced_replica_set .assert_called_once()) (self.client.read_namespaced_replica_set .assert_called_once_with( "name", namespace="ns" )) def test_create_and_wait_replicaset_fail_create(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.create_namespaced_replica_set.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_replicaset, image="test/image", namespace="ns", replicas=2, status_wait=True ) (self.client.create_namespaced_replica_set .assert_called_once()) self.assertEqual( 0, self.client.read_namespaced_replica_set.call_count ) def test_create_and_wait_replicaset_fail_read(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_replica_set.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_replicaset, image="test/image", namespace="ns", replicas=2, status_wait=True ) (self.client.create_namespaced_replica_set .assert_called_once()) (self.client.read_namespaced_replica_set .assert_called_once()) def test_create_and_wait_replicaset_read_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") resp = mock.MagicMock() resp.status.ready_replicas = None self.client.read_namespaced_replica_set.return_value = resp self.assertRaises( rally_exc.TimeoutException, self.k8s_client.create_replicaset, image="test/image", replicas=2, namespace="ns", status_wait=True ) (self.client.create_namespaced_replica_set .assert_called_once()) self.assertEqual( 2, self.client.read_namespaced_replica_set.call_count ) def test_delete_replicaset(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() from kubernetes import client as k8s_config self.k8s_client.delete_replicaset("test", namespace="ns", status_wait=False) (self.client.delete_namespaced_replica_set .assert_called_once_with( "test", body=k8s_config.V1DeleteOptions(), namespace="ns" )) def test_delete_replicaset_and_wait_termination_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_replica_set.side_effect = [ rest.ApiException(status=404, reason="Not found") ] self.k8s_client.delete_replicaset("test", namespace="ns") (self.client.delete_namespaced_replica_set .assert_called_once()) (self.client.read_namespaced_replica_set .assert_called_once_with("test", namespace="ns")) def test_delete_replicaset_delete_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.delete_namespaced_replica_set.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_replicaset, "test", namespace="ns" ) (self.client.delete_namespaced_replica_set .assert_called_once()) self.assertEqual( 0, self.client.read_namespaced_replica_set.call_count ) def test_delete_replicaset_read_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_replica_set.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_replicaset, "test", namespace="ns" ) (self.client.delete_namespaced_replica_set .assert_called_once()) (self.client.read_namespaced_replica_set .assert_called_once_with("test", namespace="ns")) def test_delete_replicaset_and_wait_termination_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") self.assertRaises( rally_exc.TimeoutException, self.k8s_client.delete_replicaset, "test", namespace="ns" ) (self.client.delete_namespaced_replica_set .assert_called_once()) self.assertEqual( 2, self.client.read_namespaced_replica_set.call_count ) class PodWithVolumeTestCase(KubernetesServiceTestCase): def test_create_pod_with_volume_and_wait_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() read_resp = mock.MagicMock() read_resp.status.phase = "Running" self.client.read_namespaced_pod.return_value = read_resp event_resp = mock.MagicMock() event_resp.items = [] self.client.list_namespaced_event.return_value = event_resp self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_pod( image="test/image", namespace="ns", volume={ "mount_path": ["stub"], "volume": ["stub"] }, name=None, status_wait=True ) self.client.create_namespaced_pod.assert_called_once() self.client.read_namespaced_pod.assert_called_once_with( "name", namespace="ns" ) self.client.list_namespaced_event.assert_called_once_with( namespace="ns" ) def test_create_pod_with_volume_and_wait_create_container_error(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() read_resp = mock.MagicMock() read_resp.status.phase = "Running" self.client.read_namespaced_pod.return_value = read_resp event_resp = mock.MagicMock() event = mock.MagicMock() event.name = "name" event.reason = "CreateContainerError" event.message = "Test raise" event_resp.items = [event] self.client.list_namespaced_event.return_value = event_resp self.assertRaises( rally_exc.RallyException, self.k8s_client.create_pod, image="test/image", namespace="ns", volume={ "mount_path": ["stub"], "volume": ["stub"] }, status_wait=True ) self.client.create_namespaced_pod.assert_called_once() self.assertEqual(0, self.client.read_namespaced_pod.call_count) self.client.list_namespaced_event.assert_called_once_with( namespace="ns" ) def test_check_volume_pod_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() api = mock.MagicMock() api.api_client.request = mock.MagicMock() self.client.connect_get_namespaced_pod_exec.__self__ = mock.MagicMock() self.client.connect_get_namespaced_pod_exec.__self__.return_value = api self.client.connect_get_namespaced_pod_exec.return_value = ( "for success") self.assertIsNone(self.k8s_client.check_volume_pod( "name", namespace="ns", check_cmd="check", error_regexp="nope" )) def test_check_volume_pod_exec_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() api = mock.MagicMock() api.api_client.request = mock.MagicMock() self.client.connect_get_namespaced_pod_exec.__self__ = mock.MagicMock() self.client.connect_get_namespaced_pod_exec.__self__.return_value = api self.client.connect_get_namespaced_pod_exec.return_value = ( "exec failed: command not found") self.assertRaises( rally_exc.RallyException, self.k8s_client.check_volume_pod, "name", namespace="ns", check_cmd="check", error_regexp="nope" ) def test_check_volume_pod_exec_error_regexp(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() api = mock.MagicMock() api.api_client.request = mock.MagicMock() self.client.connect_get_namespaced_pod_exec.__self__ = mock.MagicMock() self.client.connect_get_namespaced_pod_exec.__self__.return_value = api self.client.connect_get_namespaced_pod_exec.return_value = ( "nope, error response") self.assertRaises( rally_exc.RallyException, self.k8s_client.check_volume_pod, "name", namespace="ns", check_cmd="check", error_regexp="nope" ) def test_create_pod_emptydir_volume(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_pod( image="test/image", namespace="ns", volume={ "mount_path": [ { "name": "stub", "mountPath": "/check" } ], "volume": [ { "name": "stub", "emptyDir": {} } ] }, status_wait=False) expected = { "apiVersion": "v1", "kind": "Pod", "metadata": { "name": "name", "labels": { "role": "name" } }, "spec": { "containers": [ { "name": "name", "image": "test/image", "volumeMounts": [ { "mountPath": "/check", "name": "stub" } ] } ], "volumes": [ { "name": "stub", "emptyDir": {} } ] } } self.client.create_namespaced_pod.assert_called_once_with( body=expected, namespace="ns" ) def test_create_pod_secret_volume(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_pod( image="test/image", namespace="ns", volume={ "mount_path": [ { "name": "stub", "mountPath": "/check" } ], "volume": [ { "name": "stub", "secret": { "secretName": "stub" } } ] }, status_wait=False) expected = { "apiVersion": "v1", "kind": "Pod", "metadata": { "name": "name", "labels": { "role": "name" } }, "spec": { "containers": [ { "name": "name", "image": "test/image", "volumeMounts": [ { "mountPath": "/check", "name": "stub" } ] } ], "volumes": [ { "name": "stub", "secret": { "secretName": "stub" } } ] } } self.client.create_namespaced_pod.assert_called_once_with( body=expected, namespace="ns" ) def test_create_pod_hostpath_volume(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_pod( image="test/image", namespace="ns", volume={ "mount_path": [ { "name": "stub", "mountPath": "/check" } ], "volume": [ { "name": "stub", "hostPath": { "type": "Directory", "path": "/path" } } ] }, status_wait=False) expected = { "apiVersion": "v1", "kind": "Pod", "metadata": { "name": "name", "labels": { "role": "name" } }, "spec": { "containers": [ { "name": "name", "image": "test/image", "volumeMounts": [ { "mountPath": "/check", "name": "stub" } ] } ], "volumes": [ { "name": "stub", "hostPath": { "type": "Directory", "path": "/path" } } ] } } self.client.create_namespaced_pod.assert_called_once_with( body=expected, namespace="ns" ) def test_create_pod_configmap_volume(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_pod( image="test/image", namespace="ns", volume={ "mount_path": [ { "name": "stub", "mountPath": "/check.txt", "subPath": "check.txt" } ], "volume": [ { "name": "stub", "configMap": { "name": "stub" } } ] }, status_wait=False) expected = { "apiVersion": "v1", "kind": "Pod", "metadata": { "name": "name", "labels": { "role": "name" } }, "spec": { "containers": [ { "name": "name", "image": "test/image", "volumeMounts": [ { "mountPath": "/check.txt", "name": "stub", "subPath": "check.txt" } ] } ], "volumes": [ { "name": "stub", "configMap": { "name": "stub" } } ] } } self.client.create_namespaced_pod.assert_called_once_with( body=expected, namespace="ns" ) class DeploymentServiceTestCase(KubernetesServiceTestCase): def setUp(self): super(DeploymentServiceTestCase, self).setUp() from kubernetes.client.apis import extensions_v1beta1_api p_mock_client = mock.patch.object(extensions_v1beta1_api, "ExtensionsV1beta1Api") self.client_cls = p_mock_client.start() self.client = self.client_cls.return_value self.addCleanup(p_mock_client.stop) def test_create_deployment(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_deployment( image="test/image", replicas=2, namespace="ns", status_wait=False) expected = { "apiVersion": "extensions/v1beta1", "kind": "Deployment", "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "replicas": 2, "template": { "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "containers": [ { "name": "name", "image": "test/image" } ] } } } } (self.client.create_namespaced_deployment .assert_called_once_with( body=expected, namespace="ns" )) def test_create_deployment_with_command(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_deployment( image="test/image", replicas=2, namespace="ns", command=["ls"], status_wait=False) expected = { "apiVersion": "extensions/v1beta1", "kind": "Deployment", "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "replicas": 2, "template": { "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "containers": [ { "name": "name", "image": "test/image", "command": ["ls"] } ] } } } } (self.client.create_namespaced_deployment .assert_called_once_with( body=expected, namespace="ns" )) def test_create_deployment_with_incorrect_command(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" ex = self.assertRaises( ValueError, self.k8s_client.create_deployment, image="test/image", replicas=2, namespace="ns", command="ls", status_wait=False ) self.assertEqual("'command' argument should be list or tuple type, " "found %s" % type("ls"), str(ex)) self.assertEqual( 0, self.client.create_namespaced_deployment.call_count ) def test_create_deployment_with_incorrect_env(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" ex = self.assertRaises( ValueError, self.k8s_client.create_deployment, image="test/image", replicas=2, namespace="ns", command=["ls"], env="VAR", status_wait=False ) self.assertEqual("'env' argument should be list or tuple type, " "found %s" % type("VAR"), str(ex)) self.assertEqual( 0, self.client.create_namespaced_deployment.call_count ) def test_create_deployment_with_incorrect_resources(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" ex = self.assertRaises( ValueError, self.k8s_client.create_deployment, image="test/image", replicas=2, namespace="ns", command=["ls"], resources=("limit", "unlimited"), status_wait=False ) self.assertEqual("'resources' argument should be dict type, found " "%s" % type(("limit", "unlimited")), str(ex)) self.assertEqual( 0, self.client.create_namespaced_deployment.call_count ) def test_create_and_wait_deployment_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() resp = mock.MagicMock() resp.status.replicas = 2 resp.status.ready_replicas = 2 self.client.read_namespaced_deployment_status.return_value = resp self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_deployment( image="test/image", namespace="ns", replicas=2, status_wait=True ) (self.client.create_namespaced_deployment .assert_called_once()) (self.client.read_namespaced_deployment_status .assert_called_once_with( name="name", namespace="ns" )) def test_create_and_wait_deployment_fail_create(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.create_namespaced_deployment.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_deployment, image="test/image", namespace="ns", replicas=2, status_wait=True ) (self.client.create_namespaced_deployment .assert_called_once()) self.assertEqual( 0, self.client.read_namespaced_deployment_status.call_count ) def test_create_and_wait_deployment_fail_read(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_deployment_status.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_deployment, image="test/image", namespace="ns", replicas=2, status_wait=True ) (self.client.create_namespaced_deployment .assert_called_once()) (self.client.read_namespaced_deployment_status .assert_called_once()) def test_create_and_wait_deployment_read_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") resp = mock.MagicMock() resp.status.ready_replicas = None self.client.read_namespaced_deployment_status.return_value = resp self.assertRaises( rally_exc.TimeoutException, self.k8s_client.create_deployment, image="test/image", replicas=2, namespace="ns", status_wait=True ) (self.client.create_namespaced_deployment .assert_called_once()) self.assertEqual( 2, self.client.read_namespaced_deployment_status.call_count ) def test_delete_deployment(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() from kubernetes import client as k8s_config self.k8s_client.delete_deployment("test", namespace="ns", status_wait=False) (self.client.delete_namespaced_deployment .assert_called_once_with( name="test", body=k8s_config.V1DeleteOptions(), namespace="ns" )) def test_delete_deployment_and_wait_termination_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_deployment_status.side_effect = [ rest.ApiException(status=404, reason="Not found") ] self.k8s_client.delete_deployment("test", namespace="ns") (self.client.delete_namespaced_deployment .assert_called_once()) (self.client.read_namespaced_deployment_status .assert_called_once_with(name="test", namespace="ns")) def test_delete_deployment_delete_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.delete_namespaced_deployment.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_deployment, "test", namespace="ns" ) (self.client.delete_namespaced_deployment .assert_called_once()) self.assertEqual( 0, self.client.read_namespaced_deployment_status.call_count ) def test_delete_deployment_read_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_deployment_status.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_deployment, "test", namespace="ns" ) (self.client.delete_namespaced_deployment .assert_called_once()) (self.client.read_namespaced_deployment_status .assert_called_once_with(name="test", namespace="ns")) def test_delete_deployment_and_wait_termination_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") self.assertRaises( rally_exc.TimeoutException, self.k8s_client.delete_deployment, "test", namespace="ns" ) (self.client.delete_namespaced_deployment .assert_called_once()) self.assertEqual( 2, self.client.read_namespaced_deployment_status.call_count ) class JobServiceTestCase(KubernetesServiceTestCase): def setUp(self): super(JobServiceTestCase, self).setUp() from kubernetes.client.apis import batch_v1_api p_mock_client = mock.patch.object(batch_v1_api, "BatchV1Api") self.client_cls = p_mock_client.start() self.client = self.client_cls.return_value self.addCleanup(p_mock_client.stop) def test_create_job(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_job( image="test/image", command=["ls"], namespace="ns", status_wait=False) expected = { "apiVersion": "batch/v1", "kind": "Job", "metadata": { "name": "name" }, "spec": { "template": { "metadata": { "name": "name" }, "spec": { "restartPolicy": "Never", "containers": [ { "name": "name", "image": "test/image", "command": ["ls"] } ] } } } } self.client.create_namespaced_job.assert_called_once_with( body=expected, namespace="ns" ) def test_create_and_wait_job_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() resp = mock.MagicMock() resp.status.succeeded = 1 self.client.read_namespaced_job.return_value = resp self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_job( image="test/image", namespace="ns", command=["ls"], status_wait=True ) self.client.create_namespaced_job.assert_called_once() self.client.read_namespaced_job.assert_called_once_with( "name", namespace="ns" ) def test_create_and_wait_job_fail_create(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.create_namespaced_job.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_job, image="test/image", namespace="ns", command=["ls"], status_wait=True ) self.client.create_namespaced_job.assert_called_once() self.assertEqual(0, self.client.read_namespaced_job.call_count) def test_create_and_wait_job_fail_read(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_job.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_job, image="test/image", namespace="ns", command=["ls"], status_wait=True ) self.client.create_namespaced_job.assert_called_once() self.client.read_namespaced_job.assert_called_once() def test_create_and_wait_job_read_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") resp = mock.MagicMock() resp.status.succeeded = 0 self.client.read_namespaced_job.return_value = resp self.assertRaises( rally_exc.TimeoutException, self.k8s_client.create_job, image="test/image", command=["ls"], namespace="ns", status_wait=True ) self.client.create_namespaced_job.assert_called_once() self.assertEqual(2, self.client.read_namespaced_job.call_count) def test_delete_job(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() from kubernetes import client as k8s_config self.k8s_client.delete_job("test", namespace="ns", status_wait=False) self.client.delete_namespaced_job.assert_called_once_with( "test", body=k8s_config.V1DeleteOptions(), namespace="ns" ) def test_delete_job_and_wait_termination_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_job.side_effect = [ rest.ApiException(status=404, reason="Not found") ] self.k8s_client.delete_job("test", namespace="ns") self.client.delete_namespaced_job.assert_called_once() self.client.read_namespaced_job.assert_called_once_with( "test", namespace="ns" ) def test_delete_job_delete_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.delete_namespaced_job.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_job, "test", namespace="ns" ) self.client.delete_namespaced_job.assert_called_once() self.assertEqual(0, self.client.read_namespaced_job.call_count) def test_delete_job_read_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_job.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_job, "test", namespace="ns" ) self.client.delete_namespaced_job.assert_called_once() self.client.read_namespaced_job.assert_called_once_with( "test", namespace="ns" ) def test_delete_job_and_wait_termination_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") self.assertRaises( rally_exc.TimeoutException, self.k8s_client.delete_job, "test", namespace="ns" ) self.client.delete_namespaced_job.assert_called_once() self.assertEqual(2, self.client.read_namespaced_job.call_count) class StatefulSetServiceTestCase(KubernetesServiceTestCase): def setUp(self): super(StatefulSetServiceTestCase, self).setUp() from kubernetes.client.apis import apps_v1_api p_mock_client = mock.patch.object(apps_v1_api, "AppsV1Api") self.client_cls = p_mock_client.start() self.client = self.client_cls.return_value self.addCleanup(p_mock_client.stop) def test_create_statefulset(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_statefulset( image="test/image", replicas=2, namespace="ns", status_wait=False) expected = { "apiVersion": "apps/v1", "kind": "StatefulSet", "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "selector": { "matchLabels": { "app": mock.ANY } }, "replicas": 2, "template": { "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "containers": [ { "image": "test/image", "name": "name" } ] } } } } (self.client.create_namespaced_stateful_set .assert_called_once_with( body=expected, namespace="ns" )) def test_create_statefulset_with_command(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_statefulset( image="test/image", replicas=2, namespace="ns", command=["ls"], status_wait=False) expected = { "apiVersion": "apps/v1", "kind": "StatefulSet", "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "selector": { "matchLabels": { "app": mock.ANY } }, "replicas": 2, "template": { "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "containers": [ { "image": "test/image", "name": "name", "command": ["ls"] } ] } } } } (self.client.create_namespaced_stateful_set .assert_called_once_with( body=expected, namespace="ns" )) def test_create_statefulset_with_incorrect_command(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" ex = self.assertRaises( ValueError, self.k8s_client.create_statefulset, image="test/image", replicas=2, namespace="ns", command="ls", status_wait=False ) self.assertEqual("'command' argument should be list or tuple type, " "found %s" % type("ls"), str(ex)) self.assertEqual( 0, self.client.create_namespaced_stateful_set.call_count ) def test_create_and_wait_statefulset_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() resp = mock.MagicMock() resp.status.replicas = 2 resp.status.ready_replicas = 2 self.client.read_namespaced_stateful_set.return_value = resp self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_statefulset( image="test/image", namespace="ns", replicas=2, status_wait=True ) (self.client.create_namespaced_stateful_set .assert_called_once()) (self.client.read_namespaced_stateful_set .assert_called_once_with( "name", namespace="ns" )) def test_create_and_wait_statefulset_fail_create(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.create_namespaced_stateful_set.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_statefulset, image="test/image", namespace="ns", replicas=2, status_wait=True ) (self.client.create_namespaced_stateful_set .assert_called_once()) self.assertEqual( 0, self.client.read_namespaced_stateful_set.call_count ) def test_create_and_wait_statefulset_fail_read(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_stateful_set.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_statefulset, image="test/image", namespace="ns", replicas=2, status_wait=True ) (self.client.create_namespaced_stateful_set .assert_called_once()) (self.client.read_namespaced_stateful_set .assert_called_once()) def test_create_and_wait_statefulset_read_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") resp = mock.MagicMock() resp.status.ready_replicas = None self.client.read_namespaced_stateful_set.return_value = resp self.assertRaises( rally_exc.TimeoutException, self.k8s_client.create_statefulset, image="test/image", replicas=2, namespace="ns", status_wait=True ) (self.client.create_namespaced_stateful_set .assert_called_once()) self.assertEqual( 2, self.client.read_namespaced_stateful_set.call_count ) def test_delete_statefulset(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() from kubernetes import client as k8s_config self.k8s_client.delete_statefulset("test", namespace="ns", status_wait=False) (self.client.delete_namespaced_stateful_set .assert_called_once_with( "test", body=k8s_config.V1DeleteOptions(), namespace="ns" )) def test_delete_statefulset_and_wait_termination_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_stateful_set.side_effect = [ rest.ApiException(status=404, reason="Not found") ] self.k8s_client.delete_statefulset("test", namespace="ns") (self.client.delete_namespaced_stateful_set .assert_called_once()) (self.client.read_namespaced_stateful_set .assert_called_once_with("test", namespace="ns")) def test_delete_statefulset_delete_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.delete_namespaced_stateful_set.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_statefulset, "test", namespace="ns" ) (self.client.delete_namespaced_stateful_set .assert_called_once()) self.assertEqual( 0, self.client.read_namespaced_stateful_set.call_count ) def test_delete_statefulset_read_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_stateful_set.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_statefulset, "test", namespace="ns" ) (self.client.delete_namespaced_stateful_set .assert_called_once()) (self.client.read_namespaced_stateful_set .assert_called_once_with("test", namespace="ns")) def test_delete_statefulset_and_wait_termination_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") self.assertRaises( rally_exc.TimeoutException, self.k8s_client.delete_statefulset, "test", namespace="ns" ) (self.client.delete_namespaced_stateful_set .assert_called_once()) self.assertEqual( 2, self.client.read_namespaced_stateful_set.call_count ) class KubernetesServicesServiceTestCase(KubernetesServiceTestCase): def test_create_service_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() expected = { "apiVersion": "v1", "kind": "Service", "metadata": { "name": "name", "labels": { "check-label": "true" } }, "spec": { "type": "ClusterIP", "ports": [ { "port": 80, "protocol": "TCP" } ], "selector": { "check-label": "true" } } } self.k8s_client.create_service( "name", namespace="ns", port=80, protocol="TCP", type="ClusterIP", labels={"check-label": "true"} ) self.client.create_namespaced_service.assert_called_once_with( body=expected, namespace="ns" ) def test_create_service_fail(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.create_namespaced_service.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_service, "name", namespace="ns", port=80, protocol="TCP", type="ClusterIP", labels={"check-label": "true"} ) def test_get_service_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.get_service("name", namespace="ns") self.client.read_namespaced_service.assert_called_once() def test_get_service_fail(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_service.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.get_service, "name", namespace="ns" ) def test_delete_service_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.delete_service("name", namespace="ns") self.client.delete_namespaced_service.assert_called_once_with( "name", namespace="ns", body=mock.ANY ) def test_delete_service_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.delete_namespaced_service.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_service, "name", namespace="ns" ) def test_create_get_and_endpoints(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() expected = { "apiVersion": "v1", "kind": "Endpoints", "metadata": { "name": "name" }, "subsets": [ { "addresses": [ { "ip": "10.0.0.3" } ], "ports": [ { "port": "30433" } ] } ] } self.k8s_client.create_endpoints( "name", namespace="ns", ip="10.0.0.3", port="30433" ) self.client.create_namespaced_endpoints.assert_called_once_with( body=expected, namespace="ns" ) self.k8s_client.get_endpoints("name", namespace="ns") self.client.read_namespaced_endpoints.assert_called_once() self.k8s_client.delete_endpoints("name", namespace="ns") self.client.delete_namespaced_endpoints.assert_called_once_with( "name", namespace="ns", body=mock.ANY ) class PodWithLocalPVVolumeTestCase(KubernetesServiceTestCase): def test_create_local_pv_no_wait(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_local_pv( None, storage_class="local", size="1Gi", volume_mode="stubMode", local_path="/check", access_modes=["ReadWriteOnly"], node_affinity={"stub": "double stub"}, status_wait=False ) expected = { "kind": "PersistentVolume", "apiVersion": "v1", "metadata": { "name": "name" }, "spec": { "capacity": { "storage": "1Gi" }, "volumeMode": "stubMode", "accessModes": ["ReadWriteOnly"], "persistentVolumeReclaimPolicy": "Retain", "storageClassName": "local", "local": { "path": "/check" }, "nodeAffinity": { "stub": "double stub" } } } self.client.create_persistent_volume.assert_called_once_with( body=expected) def test_create_local_pv_wait_for_status(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() read_resp = mock.MagicMock() read_resp.status.phase = "Available" self.client.read_persistent_volume.return_value = read_resp self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_local_pv( None, storage_class="local", size="1Gi", volume_mode="stubMode", local_path="/check", access_modes=["ReadWriteOnly"], node_affinity={"stub": "double stub"}, status_wait=True ) self.client.create_persistent_volume.assert_called_once() self.client.read_persistent_volume.assert_called_once() def test_create_local_pv_wait_for_status_error(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_persistent_volume.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.assertRaises( rest.ApiException, self.k8s_client.create_local_pv, None, storage_class="local", size="1Gi", volume_mode="stubMode", local_path="/check", access_modes=["ReadWriteOnly"], node_affinity={"stub": "double stub"}, status_wait=True ) self.client.create_persistent_volume.assert_called_once() def test_create_local_pvc(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.create_local_pvc( "name", namespace="ns", storage_class="local", access_modes=["ReadWriteOnly"], size="1Gi" ) expected = { "kind": "PersistentVolumeClaim", "apiVersion": "v1", "metadata": { "name": "name" }, "spec": { "resources": { "requests": { "storage": "1Gi" } }, "accessModes": ["ReadWriteOnly"], "storageClassName": "local" } } self.client.create_namespaced_persistent_volume_claim( namespace="ns", body=expected ) def test_create_pod_local_pv_volume(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_pod( image="test/image", namespace="ns", volume={ "mount_path": [ { "mountPath": "/check", "name": "name" } ], "volume": [ { "name": "name", "persistentVolumeClaim": { "claimName": "name" } } ] }, status_wait=False) expected = { "apiVersion": "v1", "kind": "Pod", "metadata": { "name": "name", "labels": { "role": "name" } }, "spec": { "containers": [ { "name": "name", "image": "test/image", "volumeMounts": [ { "mountPath": "/check", "name": "name" } ] } ], "volumes": [ { "name": "name", "persistentVolumeClaim": { "claimName": "name" } } ] } } self.client.create_namespaced_pod.assert_called_once_with( body=expected, namespace="ns" ) class DaemonSetServiceTestCase(KubernetesServiceTestCase): def setUp(self): super(DaemonSetServiceTestCase, self).setUp() from kubernetes.client.apis import core_v1_api from kubernetes.client.apis import extensions_v1beta1_api p_mock_client = mock.patch.object(extensions_v1beta1_api, "ExtensionsV1beta1Api") self.client_cls = p_mock_client.start() self.client = self.client_cls.return_value self.addCleanup(p_mock_client.stop) p_mock_client_v1 = mock.patch.object(core_v1_api, "CoreV1Api") self.client_v1_cls = p_mock_client_v1.start() self.client_v1 = self.client_v1_cls.return_value self.addCleanup(p_mock_client_v1.stop) def test_create_daemonset(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_daemonset( image="test/image", namespace="ns", node_labels=None, status_wait=False) expected = { "apiVersion": "extensions/v1beta1", "kind": "DaemonSet", "metadata": { "name": "name" }, "spec": { "template": { "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "containers": [ { "image": "test/image", "name": "name" } ] } } } } (self.client.create_namespaced_daemon_set .assert_called_once_with( body=expected, namespace="ns" )) def test_create_daemonset_with_command(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_daemonset( image="test/image", namespace="ns", command=["ls"], node_labels=None, status_wait=False) expected = { "apiVersion": "extensions/v1beta1", "kind": "DaemonSet", "metadata": { "name": "name" }, "spec": { "template": { "metadata": { "name": "name", "labels": { "app": mock.ANY } }, "spec": { "containers": [ { "image": "test/image", "name": "name", "command": ["ls"] } ] } } } } (self.client.create_namespaced_daemon_set .assert_called_once_with( body=expected, namespace="ns" )) def test_create_daemonset_with_incorrect_command(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" ex = self.assertRaises( ValueError, self.k8s_client.create_daemonset, image="test/image", namespace="ns", command="ls", node_labels=None, status_wait=False ) self.assertEqual("'command' argument should be list or tuple type, " "found %s" % type("ls"), str(ex)) self.assertEqual( 0, self.client.create_namespaced_daemon_set.call_count ) def test_create_and_wait_daemonset_success_node_no_filter(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client_v1_cls.reset_mock() resp = mock.MagicMock() resp.status.number_ready = 1 self.client.read_namespaced_daemon_set.return_value = resp node = mock.MagicMock() node.metadata.name = "n" nodes = mock.MagicMock() nodes.items = [node] self.client_v1.list_node.return_value = nodes self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_daemonset( image="test/image", namespace="ns", node_labels=None, status_wait=True ) self.client.create_namespaced_daemon_set.assert_called_once() self.client.read_namespaced_daemon_set.assert_called_once_with( "name", namespace="ns" ) self.client_v1.list_node.assert_called_once() def test_create_and_wait_daemonset_success_node_filtered(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client_v1_cls.reset_mock() resp = mock.MagicMock() resp.status.number_ready = 1 self.client.read_namespaced_daemon_set.return_value = resp node1 = mock.MagicMock() node1.metadata.name = "n" node1.metadata.labels = { "test/node": "true" } node2 = mock.MagicMock() node2.metadata.name = "n3" node2.metadata.labels = { "test/node": "false" } nodes = mock.MagicMock() nodes.items = [node1, node2] self.client_v1.list_node.return_value = nodes self.k8s_client.generate_random_name = mock.MagicMock() self.k8s_client.generate_random_name.return_value = "name" self.k8s_client.create_daemonset( image="test/image", namespace="ns", node_labels={"test/node": "true"}, status_wait=True ) self.client.create_namespaced_daemon_set.assert_called_once() self.client.read_namespaced_daemon_set.assert_called_once_with( "name", namespace="ns" ) self.client_v1.list_node.assert_called_once() def test_create_and_wait_daemonset_fail_create(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.create_namespaced_daemon_set.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_daemonset, image="test/image", namespace="ns", node_labels=None, status_wait=True ) (self.client.create_namespaced_daemon_set .assert_called_once()) self.assertEqual(0, self.client.read_namespaced_daemon_set.call_count) def test_create_and_wait_daemonset_fail_read(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_daemon_set.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.create_daemonset, image="test/image", namespace="ns", node_labels=None, status_wait=True ) self.client.create_namespaced_daemon_set.assert_called_once() self.client.read_namespaced_daemon_set.assert_called_once() self.assertEqual(0, self.client_v1.list_node.call_count) def test_delete_daemonset(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() from kubernetes import client as k8s_config self.k8s_client.delete_daemonset("test", namespace="ns", status_wait=False) self.client.delete_namespaced_daemon_set.assert_called_once_with( "test", body=k8s_config.V1DeleteOptions(), namespace="ns" ) def test_delete_daemonset_and_wait_termination_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_daemon_set.side_effect = [ rest.ApiException(status=404, reason="Not found") ] self.k8s_client.delete_daemonset("test", namespace="ns") self.client.delete_namespaced_daemon_set.assert_called_once() self.client.read_namespaced_daemon_set.assert_called_once_with( "test", namespace="ns" ) def test_delete_daemonset_delete_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.delete_namespaced_daemon_set.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_daemonset, "test", namespace="ns" ) self.client.delete_namespaced_daemon_set.assert_called_once() self.assertEqual(0, self.client.read_namespaced_daemon_set.call_count) def test_delete_daemonset_read_failed(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client.read_namespaced_daemon_set.side_effect = [ rest.ApiException(status=500, reason="Test") ] self.assertRaises( rest.ApiException, self.k8s_client.delete_daemonset, "test", namespace="ns" ) self.client.delete_namespaced_daemon_set.assert_called_once() self.client.read_namespaced_daemon_set.assert_called_once_with( "test", namespace="ns" ) def test_delete_daemonset_and_wait_termination_timeout(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() CONF.set_override("status_total_retries", 2, "kubernetes") self.assertRaises( rally_exc.TimeoutException, self.k8s_client.delete_daemonset, "test", namespace="ns" ) self.client.delete_namespaced_daemon_set.assert_called_once() self.assertEqual(2, self.client.read_namespaced_daemon_set.call_count) def test_check_daemonsets_success(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client_v1_cls.reset_mock() node1 = mock.MagicMock() node1.metadata.name = "n" node1.metadata.labels = { "test/node": "true" } node2 = mock.MagicMock() node2.metadata.name = "n3" node2.metadata.labels = { "test/node": "false" } nodes = mock.MagicMock() nodes.items = [node1, node2] self.client_v1.list_node.return_value = nodes pod = mock.MagicMock() pod.spec.node_name = "n" pods = mock.MagicMock() pods.items = [pod] self.client_v1.list_namespaced_pod.return_value = pods self.k8s_client.check_daemonset( "ns", app="testapp", node_labels={"test/node": "true"} ) self.client_v1.list_namespaced_pod.assert_called_once_with( namespace="ns", label_selector="app=testapp" ) self.client_v1.list_node.assert_called_once() def test_check_daemonsets_fail(self): self.config_cls.reset_mock() self.api_cls.reset_mock() self.client_cls.reset_mock() self.client_v1_cls.reset_mock() node1 = mock.MagicMock() node1.metadata.name = "n" node1.metadata.labels = { "test/node": "true" } node2 = mock.MagicMock() node2.metadata.name = "n2" node2.metadata.labels = { "test/node": "true" } node3 = mock.MagicMock() node3.metadata.name = "n3" node3.metadata.labels = { "test/node": "false" } nodes = mock.MagicMock() nodes.items = [node1, node2, node3] self.client_v1.list_node.return_value = nodes pod = mock.MagicMock() pod.spec.node_name = "n" pods = mock.MagicMock() pods.items = [pod] self.client_v1.list_namespaced_pod.return_value = pods self.assertRaises( rally_exc.RallyException, self.k8s_client.check_daemonset, "ns", app="testapp", node_labels={"test/node": "true"} ) self.client_v1.list_namespaced_pod.assert_called_once_with( namespace="ns", label_selector="app=testapp" ) self.client_v1.list_node.assert_called_once()

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0.853119

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112,642

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null

0

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0

1

0

null

0

7

a476187de8a25db101ee0be5fcb11aa9f744284b

2,496

py

Python

spider/consts.py

sppsun/spider

b5fb7fbd16df3960a5e12204db2ef1644fb3e882

[ "MIT" ]

1

2020-01-10T19:24:48.000Z

spider/consts.py

sunnypandas/spider

b5fb7fbd16df3960a5e12204db2ef1644fb3e882

[ "MIT" ]

1

2019-05-29T06:30:09.000Z

spider/consts.py

sppsun/spider

b5fb7fbd16df3960a5e12204db2ef1644fb3e882

[ "MIT" ]

3

2019-12-20T06:20:26.000Z

2020-03-01T18:41:23.000Z

MYSQL_ITEM_PIPELINES = { 'scrapy.pipelines.images.ImagesPipeline': 1, 'spider.pipelines.MySqlPipeline': 100, } DB2_ITEM_PIPELINES = { 'scrapy.pipelines.images.ImagesPipeline': 1, 'spider.pipelines.DB2Pipeline': 100, } MONGODB_ITEM_PIPELINES = { 'scrapy.pipelines.images.ImagesPipeline': 1, 'spider.pipelines.MongoDBPipeline': 100, } DOWNLOADER_MIDDLEWARES_HTTP_PROXY_ON = { #'spider.middlewares.DownloaderMiddleware': 543, #to support random ua 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware': None, 'scrapy_fake_useragent.middleware.RandomUserAgentMiddleware': 400, #to support proxy 'scrapy.downloadermiddlewares.retry.RetryMiddleware': 90, 'scrapy_proxies.RandomProxy': 100, 'scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware': 110, } DOWNLOADER_MIDDLEWARES_HTTP_PROXY_OFF = { #'spider.middlewares.DownloaderMiddleware': 543, #to support random ua 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware': None, 'scrapy_fake_useragent.middleware.RandomUserAgentMiddleware': 400, #to support splash 'scrapy_splash.SplashCookiesMiddleware': 723, 'scrapy_splash.SplashMiddleware': 725, 'scrapy.downloadermiddlewares.httpcompression.HttpCompressionMiddleware': 810, } DOWNLOADER_MIDDLEWARES_TOR_PROXY_ON = { #'spider.middlewares.DownloaderMiddleware': 543, #to support random ua 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware': None, 'scrapy_fake_useragent.middleware.RandomUserAgentMiddleware': 400, #to support proxy 'spider.middlewares.TorProxyMiddleware': 543, } DOWNLOADER_MIDDLEWARES_TOR_PROXY_OFF = { #'spider.middlewares.DownloaderMiddleware': 543, #to support random ua 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware': None, 'scrapy_fake_useragent.middleware.RandomUserAgentMiddleware': 400, } DOWNLOADER_MIDDLEWARES_SQUID_PROXY_ON = { #'spider.middlewares.DownloaderMiddleware': 543, #to support random ua 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware': None, 'scrapy_fake_useragent.middleware.RandomUserAgentMiddleware': 400, #to support proxy 'spider.middlewares.SquidProxyMiddleware': 543, } DOWNLOADER_MIDDLEWARES_SQUID_PROXY_OFF = { #'spider.middlewares.DownloaderMiddleware': 543, #to support random ua 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware': None, 'scrapy_fake_useragent.middleware.RandomUserAgentMiddleware': 400, }

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false

0

null

0

1

0

1

null

0

7

a4938beefd2810ec18a7b3f758667dbbb79225e8

14,236

py

Python

devel/lib/python2.7/dist-packages/robotnik_msgs/msg/_MotorStatus.py

Jam-cpu/Masters-Project---Final

0b266b1f117a579b96507249f0a128d0e3cc082a

[ "BSD-3-Clause-Clear" ]

null

devel/lib/python2.7/dist-packages/robotnik_msgs/msg/_MotorStatus.py

Jam-cpu/Masters-Project---Final

0b266b1f117a579b96507249f0a128d0e3cc082a

[ "BSD-3-Clause-Clear" ]

null

devel/lib/python2.7/dist-packages/robotnik_msgs/msg/_MotorStatus.py

Jam-cpu/Masters-Project---Final

0b266b1f117a579b96507249f0a128d0e3cc082a

[ "BSD-3-Clause-Clear" ]

null

# This Python file uses the following encoding: utf-8 """autogenerated by genpy from robotnik_msgs/MotorStatus.msg. Do not edit.""" import codecs import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct class MotorStatus(genpy.Message): _md5sum = "bee7a4674a1d69703bedee2437db3d94" _type = "robotnik_msgs/MotorStatus" _has_header = False # flag to mark the presence of a Header object _full_text = """string state string status string communicationstatus string statusword string driveflags string[] activestatusword string[] activedriveflags int32 digitaloutputs int32 digitalinputs float32 averagecurrent float32[] analoginputs """ __slots__ = ['state','status','communicationstatus','statusword','driveflags','activestatusword','activedriveflags','digitaloutputs','digitalinputs','averagecurrent','analoginputs'] _slot_types = ['string','string','string','string','string','string[]','string[]','int32','int32','float32','float32[]'] def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: state,status,communicationstatus,statusword,driveflags,activestatusword,activedriveflags,digitaloutputs,digitalinputs,averagecurrent,analoginputs :param args: complete set of field values, in .msg order :param kwds: use keyword arguments corresponding to message field names to set specific fields. """ if args or kwds: super(MotorStatus, self).__init__(*args, **kwds) # message fields cannot be None, assign default values for those that are if self.state is None: self.state = '' if self.status is None: self.status = '' if self.communicationstatus is None: self.communicationstatus = '' if self.statusword is None: self.statusword = '' if self.driveflags is None: self.driveflags = '' if self.activestatusword is None: self.activestatusword = [] if self.activedriveflags is None: self.activedriveflags = [] if self.digitaloutputs is None: self.digitaloutputs = 0 if self.digitalinputs is None: self.digitalinputs = 0 if self.averagecurrent is None: self.averagecurrent = 0. if self.analoginputs is None: self.analoginputs = [] else: self.state = '' self.status = '' self.communicationstatus = '' self.statusword = '' self.driveflags = '' self.activestatusword = [] self.activedriveflags = [] self.digitaloutputs = 0 self.digitalinputs = 0 self.averagecurrent = 0. self.analoginputs = [] def _get_types(self): """ internal API method """ return self._slot_types def serialize(self, buff): """ serialize message into buffer :param buff: buffer, ``StringIO`` """ try: _x = self.state length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self.status length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self.communicationstatus length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self.statusword length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self.driveflags length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) length = len(self.activestatusword) buff.write(_struct_I.pack(length)) for val1 in self.activestatusword: length = len(val1) if python3 or type(val1) == unicode: val1 = val1.encode('utf-8') length = len(val1) buff.write(struct.Struct('<I%ss'%length).pack(length, val1)) length = len(self.activedriveflags) buff.write(_struct_I.pack(length)) for val1 in self.activedriveflags: length = len(val1) if python3 or type(val1) == unicode: val1 = val1.encode('utf-8') length = len(val1) buff.write(struct.Struct('<I%ss'%length).pack(length, val1)) _x = self buff.write(_get_struct_2if().pack(_x.digitaloutputs, _x.digitalinputs, _x.averagecurrent)) length = len(self.analoginputs) buff.write(_struct_I.pack(length)) pattern = '<%sf'%length buff.write(struct.Struct(pattern).pack(*self.analoginputs)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize(self, str): """ unpack serialized message in str into this message instance :param str: byte array of serialized message, ``str`` """ if python3: codecs.lookup_error("rosmsg").msg_type = self._type try: end = 0 start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.state = str[start:end].decode('utf-8', 'rosmsg') else: self.state = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.status = str[start:end].decode('utf-8', 'rosmsg') else: self.status = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.communicationstatus = str[start:end].decode('utf-8', 'rosmsg') else: self.communicationstatus = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.statusword = str[start:end].decode('utf-8', 'rosmsg') else: self.statusword = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.driveflags = str[start:end].decode('utf-8', 'rosmsg') else: self.driveflags = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) self.activestatusword = [] for i in range(0, length): start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: val1 = str[start:end].decode('utf-8', 'rosmsg') else: val1 = str[start:end] self.activestatusword.append(val1) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) self.activedriveflags = [] for i in range(0, length): start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: val1 = str[start:end].decode('utf-8', 'rosmsg') else: val1 = str[start:end] self.activedriveflags.append(val1) _x = self start = end end += 12 (_x.digitaloutputs, _x.digitalinputs, _x.averagecurrent,) = _get_struct_2if().unpack(str[start:end]) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) pattern = '<%sf'%length start = end s = struct.Struct(pattern) end += s.size self.analoginputs = s.unpack(str[start:end]) return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill def serialize_numpy(self, buff, numpy): """ serialize message with numpy array types into buffer :param buff: buffer, ``StringIO`` :param numpy: numpy python module """ try: _x = self.state length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self.status length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self.communicationstatus length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self.statusword length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self.driveflags length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) length = len(self.activestatusword) buff.write(_struct_I.pack(length)) for val1 in self.activestatusword: length = len(val1) if python3 or type(val1) == unicode: val1 = val1.encode('utf-8') length = len(val1) buff.write(struct.Struct('<I%ss'%length).pack(length, val1)) length = len(self.activedriveflags) buff.write(_struct_I.pack(length)) for val1 in self.activedriveflags: length = len(val1) if python3 or type(val1) == unicode: val1 = val1.encode('utf-8') length = len(val1) buff.write(struct.Struct('<I%ss'%length).pack(length, val1)) _x = self buff.write(_get_struct_2if().pack(_x.digitaloutputs, _x.digitalinputs, _x.averagecurrent)) length = len(self.analoginputs) buff.write(_struct_I.pack(length)) pattern = '<%sf'%length buff.write(self.analoginputs.tostring()) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize_numpy(self, str, numpy): """ unpack serialized message in str into this message instance using numpy for array types :param str: byte array of serialized message, ``str`` :param numpy: numpy python module """ if python3: codecs.lookup_error("rosmsg").msg_type = self._type try: end = 0 start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.state = str[start:end].decode('utf-8', 'rosmsg') else: self.state = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.status = str[start:end].decode('utf-8', 'rosmsg') else: self.status = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.communicationstatus = str[start:end].decode('utf-8', 'rosmsg') else: self.communicationstatus = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.statusword = str[start:end].decode('utf-8', 'rosmsg') else: self.statusword = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.driveflags = str[start:end].decode('utf-8', 'rosmsg') else: self.driveflags = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) self.activestatusword = [] for i in range(0, length): start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: val1 = str[start:end].decode('utf-8', 'rosmsg') else: val1 = str[start:end] self.activestatusword.append(val1) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) self.activedriveflags = [] for i in range(0, length): start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: val1 = str[start:end].decode('utf-8', 'rosmsg') else: val1 = str[start:end] self.activedriveflags.append(val1) _x = self start = end end += 12 (_x.digitaloutputs, _x.digitalinputs, _x.averagecurrent,) = _get_struct_2if().unpack(str[start:end]) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) pattern = '<%sf'%length start = end s = struct.Struct(pattern) end += s.size self.analoginputs = numpy.frombuffer(str[start:end], dtype=numpy.float32, count=length) return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill _struct_I = genpy.struct_I def _get_struct_I(): global _struct_I return _struct_I _struct_2if = None def _get_struct_2if(): global _struct_2if if _struct_2if is None: _struct_2if = struct.Struct("<2if") return _struct_2if

33.654846

183

0.601573

1,778

14,236

4.693476

0.101237

0.086279

0.068544

0.04985

0.738646

0.732175

0.719233

0.709886

0.697663

0

0.018469

0.265945

14,236

422

184

33.734597

0.780096

0.096937

0

0.847594

1

0

0.073386

0.004488

0

0.000787

0

1

0.02139

false

0

0.010695

0

0.064171

0

null

0

1

0

1

0

null

0

7

8efd10a652f705932eab758fb95d3be3f9ff1085

53,205

py

Python

tests/integrations/conftest.py

aimakerspace/Synergos

ce972f6b031535e82be6724f42118c33f90e9189

[ "Apache-2.0" ]

null

tests/integrations/conftest.py

aimakerspace/Synergos

ce972f6b031535e82be6724f42118c33f90e9189

[ "Apache-2.0" ]

null

tests/integrations/conftest.py

aimakerspace/Synergos

ce972f6b031535e82be6724f42118c33f90e9189

[ "Apache-2.0" ]

3

2021-11-25T03:26:52.000Z

2022-01-24T09:48:37.000Z

#!/usr/bin/env python #################### # Required Modules # #################### # Generic/Built-in import logging import pytest # Libs # Custom from synergos import ( ProjectTask, ExperimentTask, RunTask, ParticipantTask, RegistrationTask, TagTask, AlignmentTask, ModelTask, OptimizationTask, ValidationTask, PredictionTask, Driver ) ################## # Configurations # ################## HOST = '0.0.0.0' PORT = '5000' IS_SECURED = False ADDRESS = f"https://{HOST}:{PORT}" if IS_SECURED else f"http://{HOST}:{PORT}" ########### # Helpers # ########### def generate_minimal_keys( project_id: str, expt_id_1: str, expt_id_2: str, run_id_1: str, run_id_2: str, participant_id_1: str, participant_id_2: str ) -> dict: PROJECT_KEY = {'project_id': project_id} EXPT_KEY_1 = {'project_id': project_id, 'expt_id': expt_id_1} EXPT_KEY_2 = {'project_id': project_id, 'expt_id': expt_id_2} RUN_KEY_1 = {'project_id': project_id, 'expt_id': expt_id_1, 'run_id': run_id_1} RUN_KEY_2 = {'project_id': project_id, 'expt_id': expt_id_1, 'run_id': run_id_2} RUN_KEY_3 = {'project_id': project_id, 'expt_id': expt_id_2, 'run_id': run_id_2} PARTICIPANT_KEY_1 = {'participant_id': participant_id_1} PARTICIPANT_KEY_2 = {'participant_id': participant_id_2} REG_KEY_1 = {'project_id': project_id, 'participant_id': participant_id_1} REG_KEY_2 = {'project_id': project_id, 'participant_id': participant_id_2} TAG_KEY_1 = {'project_id': project_id, 'participant_id': participant_id_1} TAG_KEY_2 = {'project_id': project_id, 'participant_id': participant_id_2} return ( PROJECT_KEY, EXPT_KEY_1, EXPT_KEY_2, RUN_KEY_1, RUN_KEY_2, RUN_KEY_3, PARTICIPANT_KEY_1, PARTICIPANT_KEY_2, REG_KEY_1, REG_KEY_2, TAG_KEY_1, TAG_KEY_2 ) def generate_extra_keys( project_id: str, expt_id_1: str, expt_id_2: str, expt_id_3: str, run_id_1: str, run_id_2: str, run_id_3: str, run_id_4: str, run_id_5: str, run_id_6: str, run_id_7: str, participant_id_1: str, participant_id_2: str ) -> dict: ( PROJECT_KEY, EXPT_KEY_1, EXPT_KEY_2, RUN_KEY_1, RUN_KEY_2, RUN_KEY_3, PARTICIPANT_KEY_1, PARTICIPANT_KEY_2, REG_KEY_1, REG_KEY_2, TAG_KEY_1, TAG_KEY_2 ) = generate_minimal_keys( project_id, expt_id_1, expt_id_2, run_id_1, run_id_2, participant_id_1, participant_id_2 ) EXPT_KEY_3 = {'project_id': project_id, 'expt_id': expt_id_2} RUN_KEY_4 = {'project_id': project_id, 'expt_id': expt_id_1, 'run_id': run_id_3} RUN_KEY_5 = {'project_id': project_id, 'expt_id': expt_id_1, 'run_id': run_id_4} RUN_KEY_6 = {'project_id': project_id, 'expt_id': expt_id_1, 'run_id': run_id_5} RUN_KEY_7 = {'project_id': project_id, 'expt_id': expt_id_1, 'run_id': run_id_6} RUN_KEY_8 = {'project_id': project_id, 'expt_id': expt_id_3, 'run_id': run_id_7} return ( PROJECT_KEY, EXPT_KEY_1, EXPT_KEY_2, EXPT_KEY_3, RUN_KEY_1, RUN_KEY_2, RUN_KEY_3, RUN_KEY_4, RUN_KEY_5, RUN_KEY_6, RUN_KEY_7, RUN_KEY_8, PARTICIPANT_KEY_1, PARTICIPANT_KEY_2, REG_KEY_1, REG_KEY_2, TAG_KEY_1, TAG_KEY_2 ) ######################## # Integration Fixtures # ######################## @pytest.fixture def tabular_regress_cycle_payloads(): project_id = "tabular_regress_project" expt_id_1 = "tabular_regress_expt_1" expt_id_2 = "tabular_regress_expt_2" run_id_1 = "tabular_regress_run_1" run_id_2 = "tabular_regress_run_2" participant_id_1 = "tabular_regress_participant_1" participant_id_2 = "tabular_regress_participant_2" ( PROJECT_KEY, EXPT_KEY_1, EXPT_KEY_2, RUN_KEY_1, RUN_KEY_2, RUN_KEY_3, PARTICIPANT_KEY_1, PARTICIPANT_KEY_2, REG_KEY_1, REG_KEY_2, TAG_KEY_1, TAG_KEY_2 ) = generate_minimal_keys( project_id, expt_id_1, expt_id_2, run_id_1, run_id_2, participant_id_1, participant_id_2 ) project_payload = { **PROJECT_KEY, 'action': 'regress', 'incentives': { 'tier_1': [], 'tier_2': [] } } expt_payload_1 = { **EXPT_KEY_1, 'model': [ { "activation": None, "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 0, # placeholder "out_features": 1 } } ] } expt_payload_2 = { **EXPT_KEY_2, 'model': [ { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 0, # placeholder "out_features": 10 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 10, "out_features": 90 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 90, "out_features": 80 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 80, "out_features": 70 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 70, "out_features": 60 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 60, "out_features": 50 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 50, "out_features": 40 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 40, "out_features": 30 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 30, "out_features": 20 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 20, "out_features": 10 } }, { "activation": None, "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 10, "out_features": 1 } } ] } param_set_1 = { 'algorithm': "FedProx", 'batch_size': 500, 'rounds': 2, 'epochs': 1, 'lr': 0.01, 'weight_decay': 0.001, 'lr_decay': 0.001, 'mu': 0.001, 'l1_lambda': 0.001, 'l2_lambda': 0.001, 'optimizer': "SGD", 'criterion': "MSELoss", 'lr_scheduler': "CyclicLR", 'delta': 0.001, 'patience': 10, 'seed': 100, 'is_snn': False, 'precision_fractional': 7, 'base_lr': 0.0001, 'max_lr': 0.001 } param_set_2 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "L1Loss" } run_payload_1 = {**RUN_KEY_1, **param_set_1} run_payload_2 = {**RUN_KEY_2, **param_set_2} run_payload_3 = {**RUN_KEY_3, **param_set_2} participant_payload_1 = { **PARTICIPANT_KEY_1, 'host': '172.17.0.2', 'port': 8020, 'f_port': 5000, 'log_msgs': True, 'verbose': True } participant_payload_2 = { **PARTICIPANT_KEY_2, 'host': '172.17.0.3', 'port': 8020, 'f_port': 5000, 'log_msgs': True, 'verbose': True } registration_payload_1 = {**REG_KEY_1, 'role': "host"} registration_payload_2 = {**REG_KEY_2, 'role': "guest"} tag_payload_1 = { **TAG_KEY_1, 'train': [["train"]], 'evaluate': [["evaluate"]] } tag_payload_2 = { **TAG_KEY_2, 'train': [["train"]], 'evaluate': [["evaluate"]] } alignment_payload = {**PROJECT_KEY} # Specific combination: project|expt_2|run_2 combination_single_payload = {**RUN_KEY_1} # All combinations under expt_1 combination_expts_payload = {**EXPT_KEY_1} # All combinations under project combination_project_payload = {**PROJECT_KEY} prediction_payload_1 = { 'tags': {project_id: [["predict"]]}, **PARTICIPANT_KEY_2, **combination_single_payload } prediction_payload_2 = { 'tags': {project_id: [["predict"]]}, **PARTICIPANT_KEY_2, **combination_expts_payload } prediction_payload_3 = { 'tags': {project_id: [["predict"]]}, **PARTICIPANT_KEY_2, **combination_project_payload } return { 'project': project_payload, 'experiment': [expt_payload_1, expt_payload_2], 'run': [run_payload_1, run_payload_2, run_payload_3], 'participant': [participant_payload_1, participant_payload_2], 'registration': [registration_payload_1, registration_payload_2], 'tag': [tag_payload_1, tag_payload_2], 'alignment': alignment_payload, 'model': [ combination_single_payload, combination_expts_payload, combination_project_payload ], 'validation': [ combination_single_payload, combination_expts_payload, combination_project_payload ], 'prediction': [ prediction_payload_1, prediction_payload_2, prediction_payload_3 ] } @pytest.fixture def tabular_classify_cycle_binary_payloads(): project_id = "tabular_classify_binary_project" expt_id_1 = "tabular_classify_binary_expt_1" expt_id_2 = "tabular_classify_binary_expt_2" expt_id_3 = "tabular_classify_binary_expt_3" run_id_1 = "tabular_classify_binary_run_1" run_id_2 = "tabular_classify_binary_run_2" run_id_3 = "tabular_classify_binary_run_3" run_id_4 = "tabular_classify_binary_run_4" run_id_5 = "tabular_classify_binary_run_5" run_id_6 = "tabular_classify_binary_run_6" run_id_7 = "tabular_classify_binary_run_7" participant_id_1 = "tabular_classify_binary_participant_1" participant_id_2 = "tabular_classify_binary_participant_2" ( PROJECT_KEY, EXPT_KEY_1, EXPT_KEY_2, EXPT_KEY_3, RUN_KEY_1, RUN_KEY_2, RUN_KEY_3, RUN_KEY_4, RUN_KEY_5, RUN_KEY_6, RUN_KEY_7, RUN_KEY_8, PARTICIPANT_KEY_1, PARTICIPANT_KEY_2, REG_KEY_1, REG_KEY_2, TAG_KEY_1, TAG_KEY_2 ) = generate_extra_keys( project_id, expt_id_1, expt_id_2, expt_id_3, run_id_1, run_id_2, run_id_3, run_id_4, run_id_5, run_id_6, run_id_7, participant_id_1, participant_id_2 ) project_payload = { **PROJECT_KEY, 'action': "classify", 'incentives': { 'tier_1': [], 'tier_2': [] } } expt_payload_1 = { **EXPT_KEY_1, 'model': [ { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 0, # placeholder "out_features": 1 # placeholder } } ] } expt_payload_2 = { **EXPT_KEY_2, 'model': [ { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 0, # placeholder "out_features": 10 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 10, "out_features": 90 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 90, "out_features": 80 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 80, "out_features": 70 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 70, "out_features": 60 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 60, "out_features": 50 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 50, "out_features": 40 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 40, "out_features": 30 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 30, "out_features": 20 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 20, "out_features": 10 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 10, "out_features": 1 # Placeholder } } ] } expt_payload_3 = { **EXPT_KEY_3, 'model': [ { "activation": None, "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 0, # placeholder "out_features": 1 # placeholder } } ] } param_set_1 = { 'algorithm': "FedProx", 'batch_size': 32, 'rounds': 2, 'epochs': 1, 'lr': 0.001, 'weight_decay': 0.001, 'lr_decay': 0.001, 'mu': 0.001, 'l1_lambda': 0.001, 'l2_lambda': 0.001, 'optimizer': "SGD", 'criterion': "L1Loss", 'lr_scheduler': "CyclicLR", 'delta': 0.001, 'patience': 10, 'seed': 100, 'is_snn': False, 'precision_fractional': 7, 'base_lr': 0.0001, 'max_lr': 0.001 } param_set_2 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "MSELoss" } param_set_3 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "PoissonNLLLoss" } param_set_4 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "KLDivLoss" } param_set_5 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "BCELoss" } param_set_6 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "SmoothL1Loss" } param_set_7 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "BCEWithLogitsLoss" } run_payload_1 = {**RUN_KEY_1, **param_set_1} run_payload_2 = {**RUN_KEY_2, **param_set_2} run_payload_3 = {**RUN_KEY_3, **param_set_2} run_payload_4 = {**RUN_KEY_4, **param_set_3} run_payload_5 = {**RUN_KEY_5, **param_set_4} run_payload_6 = {**RUN_KEY_6, **param_set_5} run_payload_7 = {**RUN_KEY_7, **param_set_6} run_payload_8 = {**RUN_KEY_8, **param_set_7} participant_payload_1 = { **PARTICIPANT_KEY_1, 'host': '172.17.0.2', 'port': 8020, 'f_port': 5000, 'log_msgs': True, 'verbose': True } participant_payload_2 = { **PARTICIPANT_KEY_2, 'host': '172.17.0.3', 'port': 8020, 'f_port': 5000, 'log_msgs': True, 'verbose': True } registration_payload_1 = {**REG_KEY_1, 'role': "host"} registration_payload_2 = {**REG_KEY_2, 'role': "guest"} tag_payload_1 = { **TAG_KEY_1, 'train': [["train"]], 'evaluate': [["evaluate"]] } tag_payload_2 = { **TAG_KEY_2, 'train': [["train"]], 'evaluate': [["evaluate"]] } alignment_payload = {**PROJECT_KEY} # Specific combination: project|expt_2|run_2 combination_single_payload = {**RUN_KEY_3} # All combinations under expt_1 combination_expts_payload = {**EXPT_KEY_1} # All combinations under project combination_project_payload = {**PROJECT_KEY} prediction_payload_1 = { 'tags': {project_id: [["predict"]]}, **PARTICIPANT_KEY_2, **combination_single_payload } prediction_payload_2 = { 'tags': {project_id: [["predict"]]}, **PARTICIPANT_KEY_2, **combination_expts_payload } prediction_payload_3 = { 'tags': {project_id: [["predict"]]}, **PARTICIPANT_KEY_2, **combination_project_payload } return { 'project': project_payload, 'experiment': [expt_payload_1, expt_payload_2, expt_payload_3], 'run': [ run_payload_1, run_payload_2, run_payload_3, run_payload_4, run_payload_5, run_payload_6, run_payload_7, run_payload_8 ], 'participant': [participant_payload_1, participant_payload_2], 'registration': [registration_payload_1, registration_payload_2], 'tag': [tag_payload_1, tag_payload_2], 'alignment': alignment_payload, 'model': [ combination_single_payload, combination_expts_payload, combination_project_payload ], 'validation': [ combination_single_payload, combination_expts_payload, combination_project_payload ], 'prediction': [ prediction_payload_1, prediction_payload_2, prediction_payload_3 ] } @pytest.fixture def tabular_classify_cycle_multiclass_payloads(): project_id = "tabular_classify_mulitclass_project" expt_id_1 = "tabular_classify_mulitclass_expt_1" expt_id_2 = "tabular_classify_mulitclass_expt_2" expt_id_3 = "tabular_classify_mulitclass_expt_3" run_id_1 = "tabular_classify_mulitclass_run_1" run_id_2 = "tabular_classify_mulitclass_run_2" run_id_3 = "tabular_classify_mulitclass_run_3" run_id_4 = "tabular_classify_mulitclass_run_4" run_id_5 = "tabular_classify_mulitclass_run_5" run_id_6 = "tabular_classify_mulitclass_run_6" run_id_7 = "tabular_classify_mulitclass_run_7" participant_id_1 = "tabular_classify_mulitclass_participant_1" participant_id_2 = "tabular_classify_mulitclass_participant_2" ( PROJECT_KEY, EXPT_KEY_1, EXPT_KEY_2, EXPT_KEY_3, RUN_KEY_1, RUN_KEY_2, RUN_KEY_3, RUN_KEY_4, RUN_KEY_5, RUN_KEY_6, RUN_KEY_7, RUN_KEY_8, PARTICIPANT_KEY_1, PARTICIPANT_KEY_2, REG_KEY_1, REG_KEY_2, TAG_KEY_1, TAG_KEY_2 ) = generate_extra_keys( project_id, expt_id_1, expt_id_2, expt_id_3, run_id_1, run_id_2, run_id_3, run_id_4, run_id_5, run_id_6, run_id_7, participant_id_1, participant_id_2 ) project_payload = { **PROJECT_KEY, 'action': "classify", 'incentives': { 'tier_1': [], 'tier_2': [] } } expt_payload_1 = { **EXPT_KEY_1, 'model': [ { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 0, # placeholder "out_features": 3 # placeholder } } ] } expt_payload_2 = { **EXPT_KEY_2, 'model': [ { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 0, # placeholder "out_features": 10 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 10, "out_features": 90 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 90, "out_features": 80 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 80, "out_features": 70 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 70, "out_features": 60 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 60, "out_features": 50 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 50, "out_features": 40 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 40, "out_features": 30 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 30, "out_features": 20 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 20, "out_features": 10 } }, { "activation": "sigmoid", "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 10, "out_features": 3 # Placeholder } } ] } expt_payload_3 = { **EXPT_KEY_3, 'model': [ { "activation": None, "is_input": True, "l_type": "Linear", "structure": { "bias": True, "in_features": 0, # placeholder "out_features": 3 # placeholder } } ] } param_set_1 = { 'algorithm': "FedProx", 'batch_size': 32, 'rounds': 2, 'epochs': 1, 'lr': 0.001, 'weight_decay': 0.001, 'lr_decay': 0.001, 'mu': 0.001, 'l1_lambda': 0.001, 'l2_lambda': 0.001, 'optimizer': "SGD", 'criterion': "NLLLoss", 'lr_scheduler': "CyclicLR", 'delta': 0.001, 'patience': 10, 'seed': 100, 'is_snn': False, 'precision_fractional': 7, 'base_lr': 0.0001, 'max_lr': 0.001 } param_set_2 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "MultiLabelMarginLoss" } param_set_3 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "MultiLabelSoftMarginLoss" } param_set_4 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "CrossEntropyLoss" } param_set_5 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "HingeEmbeddingLoss" } run_payload_1 = {**RUN_KEY_1, **param_set_1} run_payload_2 = {**RUN_KEY_2, **param_set_2} run_payload_3 = {**RUN_KEY_3, **param_set_2} run_payload_4 = {**RUN_KEY_4, **param_set_3} run_payload_5 = {**RUN_KEY_4, **param_set_4} run_payload_6 = {**RUN_KEY_8, **param_set_5} participant_payload_1 = { **PARTICIPANT_KEY_1, 'host': '172.17.0.2', 'port': 8020, 'f_port': 5000, 'log_msgs': True, 'verbose': True } participant_payload_2 = { **PARTICIPANT_KEY_2, 'host': '172.17.0.3', 'port': 8020, 'f_port': 5000, 'log_msgs': True, 'verbose': True } registration_payload_1 = {**REG_KEY_1, 'role': "host"} registration_payload_2 = {**REG_KEY_2, 'role': "guest"} tag_payload_1 = { **TAG_KEY_1, 'train': [["non_iid_1"]], 'evaluate': [["iid_1"]] } tag_payload_2 = { **TAG_KEY_2, 'train': [["non_iid_2"]], 'evaluate': [["iid_2"]] } alignment_payload = {**PROJECT_KEY} # Specific combination: project|expt_2|run_2 combination_single_payload = {**RUN_KEY_3} # All combinations under expt_1 combination_expts_payload = {**EXPT_KEY_1} # All combinations under project combination_project_payload = {**PROJECT_KEY} prediction_payload_1 = { 'tags': {project_id: [["edge_test_missing_coecerable_vals"]]}, **PARTICIPANT_KEY_1, **combination_single_payload } prediction_payload_2 = { 'tags': {project_id: [["edge_test_missing_coecerable_vals"]]}, **PARTICIPANT_KEY_1, **combination_expts_payload } prediction_payload_3 = { 'tags': {project_id: [["edge_test_missing_coecerable_vals"]]}, **PARTICIPANT_KEY_1, **combination_project_payload } return { 'project': project_payload, 'experiment': [expt_payload_1, expt_payload_2, expt_payload_3], 'run': [ run_payload_1, run_payload_2, run_payload_3, run_payload_4, run_payload_5, run_payload_6 ], 'participant': [participant_payload_1, participant_payload_2], 'registration': [registration_payload_1, registration_payload_2], 'tag': [tag_payload_1, tag_payload_2], 'alignment': alignment_payload, 'model': [ combination_single_payload, combination_expts_payload, combination_project_payload ], 'validation': [ combination_single_payload, combination_expts_payload, combination_project_payload ], 'prediction': [ prediction_payload_1, prediction_payload_2, prediction_payload_3 ] } @pytest.fixture def image_classify_cycle_binary_payloads(): project_id = "image_classify_binary_project" expt_id_1 = "image_classify_binary_expt_1" expt_id_2 = "image_classify_binary_expt_2" expt_id_3 = "image_classify_binary_expt_3" run_id_1 = "image_classify_binary_run_1" run_id_2 = "image_classify_binary_run_2" run_id_3 = "image_classify_binary_run_3" run_id_4 = "image_classify_binary_run_4" run_id_5 = "image_classify_binary_run_5" run_id_6 = "image_classify_binary_run_6" run_id_7 = "image_classify_binary_run_7" participant_id_1 = "image_classify_binary_participant_1" participant_id_2 = "image_classify_binary_participant_2" ( PROJECT_KEY, EXPT_KEY_1, EXPT_KEY_2, EXPT_KEY_3, RUN_KEY_1, RUN_KEY_2, RUN_KEY_3, RUN_KEY_4, RUN_KEY_5, RUN_KEY_6, RUN_KEY_7, RUN_KEY_8, PARTICIPANT_KEY_1, PARTICIPANT_KEY_2, REG_KEY_1, REG_KEY_2, TAG_KEY_1, TAG_KEY_2 ) = generate_extra_keys( project_id, expt_id_1, expt_id_2, expt_id_3, run_id_1, run_id_2, run_id_3, run_id_4, run_id_5, run_id_6, run_id_7, participant_id_1, participant_id_2 ) project_payload = { **PROJECT_KEY, 'action': "classify", 'incentives': { 'tier_1': [], 'tier_2': [] } } expt_payload_1 = { **EXPT_KEY_1, 'model': [ # Input: N, C, Height, Width [N, 1, 28, 28] { "activation": "relu", "is_input": True, "l_type": "Conv2d", "structure": { "in_channels": 1, "out_channels": 4, # [N, 4, 28, 28] "kernel_size": 3, "stride": 1, "padding": 1 } }, { "activation": None, "is_input": False, "l_type": "Flatten", "structure": {} }, # ------------------------------ { "activation": "sigmoid", "is_input": False, "l_type": "Linear", "structure": { "bias": True, "in_features": 4 * 28 * 28, "out_features": 1 } } ] } expt_payload_2 = { **EXPT_KEY_2, 'model': [ ################################## # Section 1 - Feature Extraction # ################################## # Input: N, C, Height, Width [N, 1, 28, 28] { "activation": None, "is_input": True, "l_type": "Conv2d", "structure": { "in_channels": 1, "out_channels": 6, # [N, 6, 28, 28] "kernel_size": 5, "stride": 1, "padding": 2, "bias": True } }, { "activation": None, "is_input": False, "l_type": "Tanh", "structure": {} }, { "activation": None, "is_input": False, "l_type": "AvgPool2d", "structure": { "kernel_size": 2 } }, { "activation": None, "is_input": True, "l_type": "Conv2d", "structure": { "in_channels": 6, "out_channels": 16, # [N, 6, 28, 28] "kernel_size": 5, "stride": 1, "padding": 0, "bias": True } }, { "activation": None, "is_input": False, "l_type": "Tanh", "structure": {} }, { "activation": None, "is_input": False, "l_type": "AvgPool2d", "structure": { "kernel_size": 2 } }, { "activation": None, "is_input": True, "l_type": "Conv2d", "structure": { "in_channels": 16, "out_channels": 120, # [N, 6, 28, 28] "kernel_size": 5, "stride": 1 } }, { "activation": None, "is_input": False, "l_type": "Tanh", "structure": {} }, { "activation": None, "is_input": False, "l_type": "Flatten", "structure": {} }, #################################### # Section 2 - Sequential Encodings # #################################### { "activation": "relu", "is_input": False, "l_type": "Linear", "structure": { "bias": True, "in_features": 120, "out_features": 84 } }, { "activation": "sigmoid", "is_input": False, "l_type": "Linear", "structure": { "bias": True, "in_features": 84, "out_features": 1 } } ] } expt_payload_3 = { **EXPT_KEY_3, 'model': [ # Input: N, C, Height, Width [N, 1, 28, 28] { "activation": "relu", "is_input": True, "l_type": "Conv2d", "structure": { "in_channels": 1, "out_channels": 4, # [N, 4, 28, 28] "kernel_size": 3, "stride": 1, "padding": 1 } }, { "activation": None, "is_input": False, "l_type": "Flatten", "structure": {} }, # ------------------------------ { "activation": None, "is_input": False, "l_type": "Linear", "structure": { "bias": True, "in_features": 4 * 28 * 28, "out_features": 1 } } ] } param_set_1 = { 'algorithm': "FedProx", 'batch_size': 32, 'rounds': 2, 'epochs': 1, 'lr': 0.001, 'weight_decay': 0.001, 'lr_decay': 0.001, 'mu': 0.001, 'l1_lambda': 0.001, 'l2_lambda': 0.001, 'optimizer': "SGD", 'criterion': "L1Loss", 'lr_scheduler': "CyclicLR", 'delta': 0.001, 'patience': 10, 'seed': 100, 'is_snn': False, 'precision_fractional': 7, 'base_lr': 0.0001, 'max_lr': 0.001 } param_set_2 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "MSELoss" } param_set_3 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "PoissonNLLLoss" } param_set_4 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "KLDivLoss" } param_set_5 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "BCELoss" } param_set_6 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "SmoothL1Loss" } param_set_7 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "BCEWithLogitsLoss" } run_payload_1 = {**RUN_KEY_1, **param_set_1} run_payload_2 = {**RUN_KEY_2, **param_set_2} run_payload_3 = {**RUN_KEY_3, **param_set_2} run_payload_4 = {**RUN_KEY_4, **param_set_3} run_payload_5 = {**RUN_KEY_5, **param_set_4} run_payload_6 = {**RUN_KEY_6, **param_set_5} run_payload_7 = {**RUN_KEY_7, **param_set_6} run_payload_8 = {**RUN_KEY_8, **param_set_7} participant_payload_1 = { **PARTICIPANT_KEY_1, 'host': '172.17.0.2', 'port': 8020, 'f_port': 5000, 'log_msgs': True, 'verbose': True } participant_payload_2 = { **PARTICIPANT_KEY_2, 'host': '172.17.0.3', 'port': 8020, 'f_port': 5000, 'log_msgs': True, 'verbose': True } registration_payload_1 = {**REG_KEY_1, 'role': "host"} registration_payload_2 = {**REG_KEY_2, 'role': "guest"} tag_payload_1 = { **TAG_KEY_1, 'train': [["train"]], 'evaluate': [["evaluate"]] } tag_payload_2 = { **TAG_KEY_2, 'train': [["train"]], 'evaluate': [["evaluate"]] } alignment_payload = {**PROJECT_KEY} # Specific combination: project|expt_2|run_2 combination_single_payload = {**RUN_KEY_1, **RUN_KEY_3} # All combinations under expt_1 combination_expts_payload = {**EXPT_KEY_1} # All combinations under project combination_project_payload = {**PROJECT_KEY} prediction_payload_1 = { 'tags': {project_id: [["predict"]]}, **PARTICIPANT_KEY_2, **combination_single_payload } prediction_payload_2 = { 'tags': {project_id: [["predict"]]}, **PARTICIPANT_KEY_2, **combination_expts_payload } prediction_payload_3 = { 'tags': {project_id: [["predict"]]}, **PARTICIPANT_KEY_2, **combination_project_payload } return { 'project': project_payload, 'experiment': [expt_payload_1, expt_payload_2, expt_payload_3], 'run': [ run_payload_1, run_payload_2, run_payload_3, run_payload_4, run_payload_5, run_payload_6, run_payload_7, run_payload_8 ], 'participant': [participant_payload_1, participant_payload_2], 'registration': [registration_payload_1, registration_payload_2], 'tag': [tag_payload_1, tag_payload_2], 'alignment': alignment_payload, 'model': [ combination_single_payload, combination_expts_payload, combination_project_payload ], 'validation': [ combination_single_payload, combination_expts_payload, combination_project_payload ], 'prediction': [ prediction_payload_1, prediction_payload_2, prediction_payload_3 ] } @pytest.fixture def image_classify_cycle_multiclass_payloads(): project_id = "image_classify_mulitclass_project" expt_id_1 = "image_classify_mulitclass_expt_1" expt_id_2 = "image_classify_mulitclass_expt_2" expt_id_3 = "image_classify_mulitclass_expt_3" run_id_1 = "image_classify_mulitclass_run_1" run_id_2 = "image_classify_mulitclass_run_2" run_id_3 = "image_classify_mulitclass_run_3" run_id_4 = "image_classify_mulitclass_run_4" run_id_5 = "image_classify_mulitclass_run_5" run_id_6 = "image_classify_mulitclass_run_6" run_id_7 = "image_classify_mulitclass_run_7" participant_id_1 = "image_classify_mulitclass_participant_1" participant_id_2 = "image_classify_mulitclass_participant_2" ( PROJECT_KEY, EXPT_KEY_1, EXPT_KEY_2, EXPT_KEY_3, RUN_KEY_1, RUN_KEY_2, RUN_KEY_3, RUN_KEY_4, RUN_KEY_5, RUN_KEY_6, RUN_KEY_7, RUN_KEY_8, PARTICIPANT_KEY_1, PARTICIPANT_KEY_2, REG_KEY_1, REG_KEY_2, TAG_KEY_1, TAG_KEY_2 ) = generate_extra_keys( project_id, expt_id_1, expt_id_2, expt_id_3, run_id_1, run_id_2, run_id_3, run_id_4, run_id_5, run_id_6, run_id_7, participant_id_1, participant_id_2 ) project_payload = { **PROJECT_KEY, 'action': "classify", 'incentives': { 'tier_1': [], 'tier_2': [] } } expt_payload_1 = { **EXPT_KEY_1, 'model': [ # Input: N, C, Height, Width [N, 1, 28, 28] { "activation": "relu", "is_input": True, "l_type": "Conv2d", "structure": { "in_channels": 1, "out_channels": 4, # [N, 4, 28, 28] "kernel_size": 3, "stride": 1, "padding": 1 } }, { "activation": None, "is_input": False, "l_type": "Flatten", "structure": {} }, # ------------------------------ { "activation": "sigmoid", "is_input": False, "l_type": "Linear", "structure": { "bias": True, "in_features": 4 * 28 * 28, "out_features": 3 # placeholder } } ] } expt_payload_2 = { **EXPT_KEY_2, 'model': [ ################################## # Section 1 - Feature Extraction # ################################## # Input: N, C, Height, Width [N, 1, 28, 28] { "activation": None, "is_input": True, "l_type": "Conv2d", "structure": { "in_channels": 1, "out_channels": 6, # [N, 6, 28, 28] "kernel_size": 5, "stride": 1, "padding": 2, "bias": True } }, { "activation": None, "is_input": False, "l_type": "Tanh", "structure": {} }, { "activation": None, "is_input": False, "l_type": "AvgPool2d", "structure": { "kernel_size": 2 } }, { "activation": None, "is_input": True, "l_type": "Conv2d", "structure": { "in_channels": 6, "out_channels": 16, # [N, 6, 28, 28] "kernel_size": 5, "stride": 1, "padding": 0, "bias": True } }, { "activation": None, "is_input": False, "l_type": "Tanh", "structure": {} }, { "activation": None, "is_input": False, "l_type": "AvgPool2d", "structure": { "kernel_size": 2 } }, { "activation": None, "is_input": True, "l_type": "Conv2d", "structure": { "in_channels": 16, "out_channels": 120, # [N, 6, 28, 28] "kernel_size": 5, "stride": 1 } }, { "activation": None, "is_input": False, "l_type": "Tanh", "structure": {} }, { "activation": None, "is_input": False, "l_type": "Flatten", "structure": {} }, #################################### # Section 2 - Sequential Encodings # #################################### { "activation": "relu", "is_input": False, "l_type": "Linear", "structure": { "bias": True, "in_features": 120, "out_features": 84 } }, { "activation": "relu", "is_input": False, "l_type": "Linear", "structure": { "bias": True, "in_features": 84, "out_features": 3 # placeholder } } ] } expt_payload_3 = { 'project_id': project_id, 'expt_id': expt_id_3, 'model': [ # Input: N, C, Height, Width [N, 1, 28, 28] { "activation": "relu", "is_input": True, "l_type": "Conv2d", "structure": { "in_channels": 1, "out_channels": 4, # [N, 4, 28, 28] "kernel_size": 3, "stride": 1, "padding": 1 } }, { "activation": None, "is_input": False, "l_type": "Flatten", "structure": {} }, # ------------------------------ { "activation": None, "is_input": False, "l_type": "Linear", "structure": { "bias": True, "in_features": 4 * 28 * 28, "out_features": 3 # placeholder } } ] } param_set_1 = { 'algorithm': "FedProx", 'batch_size': 32, 'rounds': 2, 'epochs': 1, 'lr': 0.001, 'weight_decay': 0.001, 'lr_decay': 0.001, 'mu': 0.001, 'l1_lambda': 0.001, 'l2_lambda': 0.001, 'optimizer': "SGD", 'criterion': "NLLLoss", 'lr_scheduler': "CyclicLR", 'delta': 0.001, 'patience': 10, 'seed': 100, 'is_snn': False, 'precision_fractional': 7, 'base_lr': 0.0001, 'max_lr': 0.001 } param_set_2 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "NLLLoss" #"MultiLabelMarginLoss" } param_set_3 = { 'rounds': 1, 'epochs': 2, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "CrossEntropyLoss" #"MultiLabelSoftMarginLoss" } param_set_4 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "CrossEntropyLoss" } param_set_5 = { 'rounds': 2, 'epochs': 1, 'base_lr': 0.0005, 'max_lr': 0.005, 'criterion': "HingeEmbeddingLoss" } run_payload_1 = {**RUN_KEY_1, **param_set_1} run_payload_2 = {**RUN_KEY_2, **param_set_2} run_payload_3 = {**RUN_KEY_3, **param_set_2} run_payload_4 = {**RUN_KEY_4, **param_set_3} run_payload_5 = {**RUN_KEY_5, **param_set_4} run_payload_6 = {**RUN_KEY_8, **param_set_5} participant_payload_1 = { **PARTICIPANT_KEY_1, 'host': '172.17.0.2', 'port': 8020, 'f_port': 5000, 'log_msgs': True, 'verbose': True } participant_payload_2 = { **PARTICIPANT_KEY_2, 'host': '172.17.0.3', 'port': 8020, 'f_port': 5000, 'log_msgs': True, 'verbose': True } registration_payload_1 = {**REG_KEY_1, 'role': "host"} registration_payload_2 = {**REG_KEY_2, 'role': "guest"} tag_payload_1 = { **TAG_KEY_1, 'train': [["train"]], 'evaluate': [["evaluate"]] } tag_payload_2 = { **TAG_KEY_2, 'train': [["train"]], 'evaluate': [["evaluate"]] } alignment_payload = {**PROJECT_KEY} # Specific combination: project|expt_2|run_2 combination_single_payload = {**RUN_KEY_2} # All combinations under expt_1 combination_expts_payload = {**EXPT_KEY_1} # All combinations under project combination_project_payload = {**PROJECT_KEY} prediction_payload_1 = { 'tags': {project_id: [["predict"]]}, **PARTICIPANT_KEY_2, **combination_single_payload } prediction_payload_2 = { 'tags': {project_id: [["predict"]]}, **PARTICIPANT_KEY_2, **combination_expts_payload } prediction_payload_3 = { 'tags': {project_id: [["predict"]]}, **PARTICIPANT_KEY_2, **combination_project_payload } return { 'project': project_payload, 'experiment': [expt_payload_1, expt_payload_2, expt_payload_3], 'run': [ run_payload_1, run_payload_2, run_payload_3, run_payload_4, run_payload_5, run_payload_6 ], 'participant': [participant_payload_1, participant_payload_2], 'registration': [registration_payload_1, registration_payload_2], 'tag': [tag_payload_1, tag_payload_2], 'alignment': alignment_payload, 'model': [ combination_single_payload, combination_expts_payload, combination_project_payload ], 'validation': [ combination_single_payload, combination_expts_payload, combination_project_payload ], 'prediction': [ prediction_payload_1, prediction_payload_2, prediction_payload_3 ] } @pytest.fixture def driver(): return Driver(host=HOST, port=PORT, is_secured=IS_SECURED)

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Python

src/python/LuisaCompute/_internal/type.py

Mike-Leo-Smith/LuisaCompute

232c0039bffb743d3bb5dfffc40d37a39dcd7570

[ "BSD-3-Clause" ]

31

2020-11-21T08:16:53.000Z

2021-09-05T13:46:32.000Z

src/python/LuisaCompute/_internal/type.py

Mike-Leo-Smith/LuisaCompute

232c0039bffb743d3bb5dfffc40d37a39dcd7570

[ "BSD-3-Clause" ]

1

2021-03-08T04:15:26.000Z

2021-03-19T04:40:02.000Z

src/python/LuisaCompute/_internal/type.py

Mike-Leo-Smith/LuisaCompute

232c0039bffb743d3bb5dfffc40d37a39dcd7570

[ "BSD-3-Clause" ]

4

2020-12-02T09:41:22.000Z

2021-03-06T06:36:40.000Z

from ctypes import c_void_p, c_char_p, c_int, c_int32, c_uint32, c_int64, c_uint64, c_size_t from .config import dll dll.luisa_compute_type_from_description.restype = c_void_p dll.luisa_compute_type_from_description.argtypes = [c_char_p] def type_from_description(desc): return dll.luisa_compute_type_from_description(desc.encode()) dll.luisa_compute_type_description.restype = c_char_p dll.luisa_compute_type_description.argtypes = [c_void_p] def type_description(t): return bytes(dll.luisa_compute_type_description(t)).decode() dll.luisa_compute_type_size.restype = c_size_t dll.luisa_compute_type_size.argtypes = [c_void_p] def type_size(t): return dll.luisa_compute_type_size(t) dll.luisa_compute_type_alignment.restype = c_size_t dll.luisa_compute_type_alignment.argtypes = [c_void_p] def type_alignment(t): return dll.luisa_compute_type_alignment(t) dll.luisa_compute_type_dimension.restype = c_size_t dll.luisa_compute_type_dimension.argtypes = [c_void_p] def type_dimension(t): return dll.luisa_compute_type_dimension(t) dll.luisa_compute_type_member_count.restype = c_size_t dll.luisa_compute_type_member_count.argtypes = [c_void_p] def type_member_count(t): return dll.luisa_compute_type_member_count(t) dll.luisa_compute_type_member_types.restype = c_void_p dll.luisa_compute_type_member_types.argtypes = [c_void_p] def type_member_types(t): return dll.luisa_compute_type_member_types(t) dll.luisa_compute_type_element_type.restype = c_void_p dll.luisa_compute_type_element_type.argtypes = [c_void_p] def type_element_type(t): return dll.luisa_compute_type_element_type(t) dll.luisa_compute_type_is_array.restype = c_int dll.luisa_compute_type_is_array.argtypes = [c_void_p] def type_is_array(t): return dll.luisa_compute_type_is_array(t) dll.luisa_compute_type_is_scalar.restype = c_int dll.luisa_compute_type_is_scalar.argtypes = [c_void_p] def type_is_scalar(t): return dll.luisa_compute_type_is_scalar(t) dll.luisa_compute_type_is_vector.restype = c_int dll.luisa_compute_type_is_vector.argtypes = [c_void_p] def type_is_vector(t): return dll.luisa_compute_type_is_vector(t) dll.luisa_compute_type_is_matrix.restype = c_int dll.luisa_compute_type_is_matrix.argtypes = [c_void_p] def type_is_matrix(t): return dll.luisa_compute_type_is_matrix(t) dll.luisa_compute_type_is_structure.restype = c_int dll.luisa_compute_type_is_structure.argtypes = [c_void_p] def type_is_structure(t): return dll.luisa_compute_type_is_structure(t) dll.luisa_compute_type_is_buffer.restype = c_int dll.luisa_compute_type_is_buffer.argtypes = [c_void_p] def type_is_buffer(t): return dll.luisa_compute_type_is_buffer(t) dll.luisa_compute_type_is_texture.restype = c_int dll.luisa_compute_type_is_texture.argtypes = [c_void_p] def type_is_texture(t): return dll.luisa_compute_type_is_texture(t) dll.luisa_compute_type_is_heap.restype = c_int dll.luisa_compute_type_is_heap.argtypes = [c_void_p] def type_is_heap(t): return dll.luisa_compute_type_is_heap(t) dll.luisa_compute_type_is_accel.restype = c_int dll.luisa_compute_type_is_accel.argtypes = [c_void_p] def type_is_accel(t): return dll.luisa_compute_type_is_accel(t)

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2d014bbef7ca6dd6b56aa6e3bda509c329fe6f88

20,768

py

Python

python_src/util_BinClass.py

kaitu02/StochasticProximalMethods

b73bb20aa8d858f7907be81b2c2fcf6bb89dc0fb

[ "BSD-3-Clause" ]

null

python_src/util_BinClass.py

kaitu02/StochasticProximalMethods

b73bb20aa8d858f7907be81b2c2fcf6bb89dc0fb

[ "BSD-3-Clause" ]

null

python_src/util_BinClass.py

kaitu02/StochasticProximalMethods

b73bb20aa8d858f7907be81b2c2fcf6bb89dc0fb

[ "BSD-3-Clause" ]

1

2021-01-08T01:48:07.000Z

"""!@package util_BinClass Useful functions for binary classification with non-convex loss example. \f$\min_{w\in\mathbb{R}^d}\left\{ F(w) := \frac{1}{n}\sum_{i=1}^n\ell(a_i^{\top}w, b_i) + \lambda\|w\|_1\right\} \f$ The package contains differnt functions to evaluate objective value, gradient as well as proximal operator for the binary classification with nonconvex loss example. Copyright (c) 2019 Nhan H. Pham, Department of Statistics and Operations Research, University of North Carolina at Chapel Hill Copyright (c) 2019 Quoc Tran-Dinh, Department of Statistics and Operations Research, University of North Carolina at Chapel Hill Copyright (c) 2019 Lam M. Nguyen, IBM Research, Thomas J. Watson Research Center Yorktown Heights Copyright (c) 2019 Dzung T. Phan, IBM Research, Thomas J. Watson Research Center Yorktown Heights All rights reserved. If you found this helpful and are using it within our software please cite the following publication: * N. H. Pham, L. M. Nguyen, D. T. Phan, and Q. Tran-Dinh, **[ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization](https://arxiv.org/abs/1902.05679)**, _arXiv preprint arXiv:1902.05679_, 2019. """ # external library import numpy as np import scipy import random import math ## constant indicating total available memory when calculating full gradient total_mem_full = 3.0e10 ## constant indicating total available memory when calculating batch gradient total_mem_batch = 2.0e10 def prox_l1_norm(w, lamb): """! Compute the proximal operator of the \f$\ell_1\f$-norm \f$ prox_{\lambda \|.\|_1} = {arg\min_x}\left\{\|.\|_1^2 + \frac{1}{2\lambda}\|x - w\|^2\right\} \f$ Parameters ---------- @param w : input vector @param lamb : penalty paramemeter Returns ------- @retval : perform soft-thresholding on input vector """ return np.sign(w) * np.maximum( np.abs(w) - lamb, 0) def func_val_l1_norm(w): """! Compute \f$\ell_1\f$-norm of a vector Parameters ---------- @param w : input vector Returns ------- @retval : \f$ \|w\|_1 \f$ """ return np.linalg.norm(w,ord = 1) def accuracy(n, d, X, Y, bias, w, nnzX = 0): """! Compute accuracy Parameters ---------- @param n : sample size @param d : number of features @param X : input data @param Y : input label @param bias : bias vector @param w : input vector @param nnzX : average number of non-zero elements for each sample Returns ------- @retval : value between 0-1 indicating the accuracy """ if nnzX == 0: nnzX = d batch_size = np.maximum(int(total_mem_full // nnzX), 1) num_batches = math.ceil(n / batch_size) sum_acc = 0 for j in range(num_batches): ## calculate start/end indices for each batch startIdx = batch_size*j endIdx = np.minimum(batch_size*(j+1), n) batch_X = X[startIdx:endIdx] batch_Y = Y[startIdx:endIdx] batch_bias = bias[startIdx:endIdx] sum_acc += np.sum(1 * (batch_Y*(batch_X.dot(w) + batch_bias) > 0)) return 1/float(n) * sum_acc ################################################################### def func_val_bin_class_loss_1(n, XYw_bias): """! Compute the objective value of loss function 1 \f$\ell_1(Y(Xw+b)) := 1 - \tanh(\omega Y(Xw+b)) \f$ for a given \f$ \omega > 0\f$. Parameters ---------- @param n : sample size @param Xw_bias : the precomputed \f$Y(Xw + b)\f$ Returns ------- @retval : \f$\ell_1(Y(Xw + b))\f$ """ omega = 1.0 expt = np.exp(2.0*omega*XYw_bias) return (1.0/float(n)) * np.sum( 2.0 / (expt + 1.0) ) def grad_eval_bin_class_loss_1(n, d, b, X, Y, bias, w, nnzX = 0): """! Compute the (full/stochastic) gradient of loss function 1. where \f$\ell_1(Y(Xw+b)) := 1 - \tanh(\omega Y(Xw+b)) \f$ for a given \f$ \omega > 0\f$. Parameters ---------- @param n : sample size @param d : number of features @param b : mini-batch size b = 1: single stochastic gradient 1 < b < n: mini-batch stochastic gradient b = n: full gradient @param X : input data @param Y : input label @param bias : input bias @param w : input vector @param nnzX : average number of non-zero elements for each sample Returns ------- @retval : computed full/stochastic gradient @retval XYw_bias: The precomputed \f$ Y(Xw + bias)\f$ """ omega = 1.0 # single sample if b == 1: # get a random sample i = np.random.randint(0, n) Xi = X[i,:] expt = np.exp( 2.0*omega*Y[i]*(Xi.dot(w) + bias[i]) ) return -4.0*omega*( expt/(expt + 1.0)/(expt + 1.0) )*Y[i]*Xi # batch elif b < n: # get a random batch of size b index = random.sample(range(n), b) # calculate number of batches if nnzX == 0: nnzX = d batch_size = np.maximum(int(total_mem_full // nnzX), 1) num_batches = math.ceil(b / batch_size) batch_grad = np.zeros(d) for j in range(num_batches): # calculate start/end indices for each batch startIdx = batch_size*j endIdx = np.minimum(batch_size*(j+1), b-1) batch_X = X[index[startIdx:endIdx],:] batch_Y = Y[index[startIdx:endIdx]] batch_bias = bias[index[startIdx:endIdx]] expt = np.exp( 2.0*omega * batch_Y * (batch_X.dot(w) + batch_bias) ) batch_grad -= 4.0 * omega * batch_X.transpose().dot(batch_Y*(expt/(expt + 1.0)/(expt + 1.0))) return batch_grad / float(b) # full else: # calculate number of batches if nnzX == 0: nnzX = d batch_size = np.maximum(int(total_mem_full // nnzX), 1) num_batches = math.ceil(b / batch_size) full_grad = np.zeros(d) XYw_bias = np.zeros(n) for j in range(num_batches): # calculate start/end indices for each batch startIdx = batch_size*j endIdx = np.minimum(batch_size*(j+1), n-1) batch_X = X[startIdx:endIdx,:] batch_Y = Y[startIdx:endIdx] batch_bias = bias[startIdx:endIdx] batch_XYw_bias = batch_Y * (batch_X.dot(w) + batch_bias) XYw_bias[startIdx:endIdx] = batch_XYw_bias expt = np.exp(2.0*omega * batch_XYw_bias) full_grad -= 4.0 * omega * batch_X.transpose().dot(batch_Y*(expt/(expt + 1.0)/(expt + 1.0))) return full_grad / float(n), XYw_bias def grad_diff_eval_bin_class_loss_1(n, d, b, X, Y, bias, w1, w2, nnzX = 0): """! Compute the (full/stochastic) gradient difference of loss function 1 \f$\displaystyle\frac{1}{b}\left(\sum_{i \in \mathcal{B}_t}(\nabla f_i(w_2) - \nabla f_i(w_1)) \right) \f$ Parameters ---------- @param n : sample size @param d : number of features @param b : mini-batch size b = 1: single stochastic gradient 1 < b < n: mini-batch stochastic gradient b = n: full gradient @param X : input data @param Y : input label @param bias : input bias @param w1 : input vector @param w2 : input vector @param nnzX : average number of non-zero elements for each sample Returns ------- @retval : computed full/stochastic gradient """ omega = 1.0 # single sample if b == 1: # get a random sample i = np.random.randint(0,n) Xi = X[i, :] expt1 = np.exp( 2.0*omega * Y[i] * (Xi.dot(w1) + bias[i]) ) expt2 = np.exp( 2.0*omega * Y[i] * (Xi.dot(w2) + bias[i]) ) diff_expt = expt2 / (expt2 + 1.0) / (expt2 + 1.0) - expt1 / (expt1 + 1.0) / (expt1 + 1.0) return -(4.0 * omega * diff_expt * Y[i]) * Xi # batch elif b < n: # get a random batch of size b index = random.sample(range(n), b) # calculate number of batches if nnzX == 0: nnzX = d batch_size = np.maximum(int(total_mem_full // nnzX), 1) num_batches = math.ceil(b / batch_size) batch_grad_diff = np.zeros(d) for j in range(num_batches): # calculate start/end indices for each batch startIdx = batch_size*j endIdx = np.minimum(batch_size*(j+1), b-1) batch_X = X[index[startIdx:endIdx],:] batch_Y = Y[index[startIdx:endIdx]] batch_bias = bias[index[startIdx:endIdx]] expt1 = np.exp( 2.0*omega * batch_Y * (batch_X.dot(w1) + batch_bias) ) expt2 = np.exp( 2.0*omega * batch_Y * (batch_X.dot(w2) + batch_bias) ) diff_expt = expt2/(expt2 + 1.0)/(expt2 + 1.0) - expt1/(expt1 + 1.0)/(expt1 + 1.0) batch_grad_diff -= 4.0 * omega * batch_X.transpose().dot(batch_Y * diff_expt ) return batch_grad_diff / float(b) # full else: # calculate number of batches if nnzX == 0: nnzX = d batch_size = np.maximum(int(total_mem_full // nnzX), 1) num_batches = math.ceil(b / batch_size) full_grad_diff = np.zeros(d) for j in range(num_batches): # calculate start/end indices for each batch startIdx = batch_size*j endIdx = np.minimum(batch_size*(j+1), n-1) batch_X = X[startIdx:endIdx] batch_Y = Y[startIdx:endIdx] batch_bias = bias[startIdx:endIdx] expt1 = np.exp( 2.0*omega * batch_Y * (batch_X.dot(w1) + batch_XYw_bias) ) expt2 = np.exp( 2.0*omega * batch_Y * (batch_X.dot(w2) + batch_XYw_bias) ) diff_expt = expt2/(expt2 + 1.0)/(expt2 + 1.0) - expt1/(expt1 + 1.0)/(expt1 + 1.0) full_grad_diff -= 4.0 * omega * batch_X.transpose().dot(batch_Y * diff_expt ) return full_grad_diff / float(n) ###################################################################### def func_val_bin_class_loss_2(n, XYw_bias): """! Compute the objective value of loss function 2 \f$\ell_2(Y(Xw+b)) := \left(1 - \frac{1}{1 + \exp[-Y(Xw+b)]}\right)^2 \f$ for a given \f$ \omega > 0\f$. Parameters ---------- @param n : sample size @param Xw_bias : the precomputed \f$Y(Xw + b)\f$ Returns ------- @retval : \f$\ell_2(Y(Xw + b))\f$ """ expt = np.exp( XYw_bias ) return (1.0/float(n))*np.sum ( 1.0 / ( (expt + 1.0)**2.0 ) ) def grad_eval_bin_class_loss_2(n, d, b, X, Y, bias, w, nnzX = 0): """! Compute the (full/stochastic) gradient of loss function 2. \f$\ell_2(Y(Xw+b)) := \left(1 - \frac{1}{1 + \exp[-Y(Xw+b)]}\right)^2 \f$ Parameters ---------- @param n : sample size @param d : number of features @param b : mini-batch size b = 1: single stochastic gradient 1 < b < n: mini-batch stochastic gradient b = n: full gradient @param X : input data @param Y : input label @param bias : input bias @param w : input vector @param nnzX : average number of non-zero elements for each sample Returns ------- @retval : computed full/stochastic gradient @retval XYw_bias: The precomputed \f$ Y(Xw + bias)\f$ """ # single sample if b == 1: # get a random sample i = np.random.randint(0, n) Xi = X[i, :] expt = np.exp(Y[i] * (Xi.dot(w) + bias[i]) ) return ( -2.0 * (expt/(1.0 + expt)/(1.0 + expt)/(1.0 + expt)) * Y[i] ) * Xi # batch elif b < n: # get a random batch of size b index = random.sample(range(n), b) # calculate number of batches if nnzX == 0: nnzX = d batch_size = np.maximum(int(total_mem_full // nnzX), 1) num_batches = math.ceil(b / batch_size) batch_grad = np.zeros(d) for j in range(num_batches): # calculate start/end indices for each batch startIdx = batch_size*j endIdx = np.minimum(batch_size*(j+1), b-1) batch_X = X[index[startIdx:endIdx],:] batch_Y = Y[index[startIdx:endIdx]] batch_bias = bias[index[startIdx:endIdx]] expt = np.exp( batch_Y * (batch_X.dot(w) + batch_bias) ) batch_grad -= 2.0 * batch_X.transpose().dot(batch_Y \ * (expt/(1.0 + expt)/(1.0 + expt)/(1.0 + expt)) ) return batch_grad / float(b) # full else: # calculate number of batches if nnzX == 0: nnzX = d batch_size = np.maximum(int(total_mem_full // nnzX), 1) num_batches = math.ceil(b / batch_size) full_grad = np.zeros(d) XYw_bias = np.zeros(n) for j in range(num_batches): # calculate start/end indices for each batch startIdx = batch_size*j endIdx = np.minimum(batch_size*(j+1), n-1) batch_X = X[startIdx:endIdx] batch_Y = Y[startIdx:endIdx] batch_bias = bias[startIdx:endIdx] batch_XYw_bias = batch_Y * (batch_X.dot(w) + batch_bias) XYw_bias[startIdx:endIdx] = batch_XYw_bias expt = np.exp(batch_XYw_bias) full_grad -= 2.0 * batch_X.transpose().dot( batch_Y * (expt/(expt+1)/(expt+1)/(expt+1) ) ) return full_grad / float(n), XYw_bias def grad_diff_eval_bin_class_loss_2(n, d, b, X, Y, bias, w1, w2, nnzX = 0): """! Compute the (full/stochastic) gradient difference of loss function 2 \f$\displaystyle\frac{1}{b}\left(\sum_{i \in \mathcal{B}_t}(\nabla f_i(w_2) - \nabla f_i(w_1)) \right) \f$ Parameters ---------- @param n : sample size @param d : number of features @param b : mini-batch size b = 1: single stochastic gradient 1 < b < n: mini-batch stochastic gradient b = n: full gradient @param X : input data @param Y : input label @param bias : input bias @param w1 : input vector @param w2 : input vector @param nnzX : average number of non-zero elements for each sample Returns ------- @retval : computed full/stochastic gradient """ # single sample if b == 1: # get a random sample i = np.random.randint(0, n) Xi = X[i,:] expt1 = np.exp(Y[i]* (Xi.dot(w1) + bias[i]) ) expt2 = np.exp(Y[i] * (Xi.dot(w2) + bias[i])) diff_expt = (expt2/(1.0 + expt2)/(1.0 + expt2)/(1.0 + expt2)) - (expt1/(1.0 + expt1)/(1.0 + expt1)/(1.0 + expt1)) return -2.0*diff_expt*Y[i]*Xi # batch elif b < n: # get a random batch of size b index = random.sample(range(n), b) # calculate number of batches if nnzX == 0: nnzX = d batch_size = np.maximum(int(total_mem_full // nnzX), 1) num_batches = math.ceil(b / batch_size) batch_grad_diff = np.zeros(d) for j in range(num_batches): # calculate start/end indices for each batch startIdx = batch_size*j endIdx = np.minimum(batch_size*(j+1), b-1) batch_X = X[index[startIdx:endIdx],:] batch_Y = Y[index[startIdx:endIdx]] batch_bias = bias[index[startIdx:endIdx]] expt1 = np.exp(batch_Y * (batch_X.dot(w1) + batch_bias) ) expt2 = np.exp(batch_Y * (batch_X.dot(w2) + batch_bias) ) diff_expt = expt2/(1.0 + expt2)/(1.0 + expt2)/(1.0 + expt2) - expt1/(1.0 + expt1)/(1.0 + expt1)/(1.0 + expt1) batch_grad_diff -= 2.0 * batch_X.transpose().dot( batch_Y * diff_expt ) return batch_grad_diff / float(b) # full else: # calculate number of batches if nnzX == 0: nnzX = d batch_size = np.maximum(int(total_mem_full // nnzX), 1) num_batches = math.ceil(b / batch_size) full_grad_diff = np.zeros(d) for j in range(num_batches): # calculate start/end indices for each batch startIdx = batch_size*j endIdx = np.minimum(batch_size*(j+1), n-1) batch_X = X[startIdx:endIdx] batch_Y = Y[startIdx:endIdx] batch_bias = bias[startIdx:endIdx] expt1 = np.exp(batch_Y * (batch_X.dot(w1) + batch_bias) ) expt2 = np.exp(batch_Y * (batch_X.dot(w2) + batch_bias) ) expt1 = np.exp( 2.0*omega * batch_Y * (batch_X.dot(w1) + batch_XYw_bias) ) expt2 = np.exp( 2.0*omega * batch_Y * (batch_X.dot(w2) + batch_XYw_bias) ) diff_expt = expt2/(1.0 + expt2)/(1.0 + expt2)/(1.0 + expt2) - expt1/(1.0 + expt1)/(1.0 + expt1)/(1.0 + expt1) full_grad_diff -= 2.0 * batch_X.transpose().dot( batch_Y * diff_expt ) return full_grad_diff / float(n) ################################################################## def func_val_bin_class_loss_3(n, XYw_bias): """! Compute the objective value of loss function 3 \f$ \ell_3(Y(Xw + b)) := \ln(1 + \exp(-Y(Xw + b))) - \ln(1 + \exp(-Y(Xw + b) - \omega))\f$ for a given \f$ \omega > 0\f$. Parameters ---------- @param n : sample size @param Xw_bias : the precomputed \f$Y(Xw + b)\f$ Returns ------- @retval : \f$\ell_3(Y(Xw + b))\f$ """ omega = 1.0 exp_g = np.exp(-omega) expt = np.exp(-XYw_bias) return (1.0 / float(n)) * np.sum((np.log(1.0 + expt) - np.log(1.0 + exp_g*expt))) def grad_eval_bin_class_loss_3(n, d, b, X, Y, bias, w, nnzX = 0): """! Compute the (full/stochastic) gradient of loss function 3. where \f$ \ell_3(Y(Xw + b)) := \ln(1 + \exp(-Y(Xw + b))) - \ln(1 + \exp(-Y(Xw + b) - \omega))\f$ for a given \f$ \omega > 0\f$. Parameters ---------- @param n : sample size @param d : number of features @param b : mini-batch size b = 1: single stochastic gradient 1 < b < n: mini-batch stochastic gradient b = n: full gradient @param X : input data @param Y : input label @param bias : input bias @param w : input vector @param nnzX : average number of non-zero elements for each sample Returns ------- @retval : computed full/stochastic gradient @retval XYw_bias: The precomputed \f$ Y(Xw + bias)\f$ """ alpha = 1 exp_a = np.exp(alpha) # single sample if b == 1: # get a random sample i = np.random.randint(0, n) Xi = X[i, :] expt = np.exp( Y[i] * (Xi.dot(w) + bias[i]) ) return ( (1 / (expt * exp_a + 1.0) - 1 / (expt + 1.0) ) * Y[i] ) * Xi # batch elif b < n: # get a random batch of size b index = random.sample(range(n), b) # calculate number of batches if nnzX == 0: nnzX = d batch_size = np.maximum(int(total_mem_full // nnzX), 1) num_batches = math.ceil(b / batch_size) batch_grad = np.zeros(d) for j in range(num_batches): # calculate start/end indices for each batch startIdx = batch_size*j endIdx = np.minimum(batch_size*(j+1), b-1) batch_X = X[index[startIdx:endIdx],:] batch_Y = Y[index[startIdx:endIdx]] batch_bias = bias[index[startIdx:endIdx]] expt = np.exp( batch_Y * (batch_X.dot(w) + batch_bias) ) batch_grad += batch_X.transpose().dot(batch_Y * (1 / (expt * exp_a + 1.0) - 1 / (expt + 1.0)) ) return batch_grad / float(b) # full else: # calculate number of batches if nnzX == 0: nnzX = d batch_size = np.maximum(int(total_mem_full // nnzX), 1) num_batches = math.ceil(b / batch_size) full_grad = np.zeros(d) XYw_bias = np.zeros(n) for j in range(num_batches): # calculate start/end indices for each batch startIdx = batch_size*j endIdx = np.minimum(batch_size*(j+1), n-1) batch_X = X[startIdx:endIdx,:] batch_Y = Y[startIdx:endIdx] batch_bias = bias[startIdx:endIdx] batch_XYw_bias = batch_Y * (batch_X.dot(w) + batch_bias) XYw_bias[startIdx:endIdx] = batch_XYw_bias expt = expt = np.exp(batch_XYw_bias) full_grad = batch_X.transpose().dot(batch_Y * ( 1.0/ (expt * exp_a + 1.0) - 1.0/ (expt + 1.0) ) ) return full_grad / float(n), XYw_bias def grad_diff_eval_bin_class_loss_3(n, d, b, X, Y, bias, w1, w2, nnzX = 0): """! Compute the (full/stochastic) gradient difference of loss function 3 \f$\displaystyle\frac{1}{b}\left(\sum_{i \in \mathcal{B}_t}(\nabla f_i(w_2) - \nabla f_i(w_1)) \right) \f$ Parameters ---------- @param n : sample size @param d : number of features @param b : mini-batch size b = 1: single stochastic gradient 1 < b < n: mini-batch stochastic gradient b = n: full gradient @param X : input data @param Y : input label @param bias : input bias @param w1 : input vector @param w2 : input vector @param nnzX : average number of non-zero elements for each sample Returns ------- @retval : computed full/stochastic gradient """ alpha = 1 exp_a = np.exp(alpha) # single sample if b == 1: # get a random sample i = np.random.randint(0, n) Xi = X[i,:] expt1 = np.exp( -Y[i]*(Xi.dot(w1) + bias[i]) ) expt2 = np.exp( -Y[i]*(Xi.dot(w2) + bias[i]) ) diff_expt = (1.0/(expt2*exp_a + 1.0) - 1.0/(expt2 + 1.0)) - (1.0/(expt1*exp_a + 1.0) - 1.0/(expt1 + 1.0)) return diff_expt*Y[i]*Xi # batch elif b < n: # get a random batch of size b index = random.sample(range(n), b) # calculate number of batches if nnzX == 0: nnzX = d batch_size = int(total_mem_batch // nnzX) num_batches = math.ceil(b / batch_size) batch_grad_diff = np.zeros(d) for j in range(num_batches): # calculate start/end indices for each batch startIdx = batch_size*j endIdx = np.minimum(batch_size*(j+1), b-1) batch_X = X[index[startIdx:endIdx],:] batch_Y = Y[index[startIdx:endIdx]] batch_bias = bias[index[startIdx:endIdx]] expt1 = np.exp(batch_Y * (batch_X.dot(w1) + batch_bias) ) expt2 = np.exp(batch_Y * (batch_X.dot(w2) + batch_bias) ) diff_expt = ( 1/(expt2*exp_a + 1.0) - 1/(expt2 + 1.0) ) - (1/(expt1*exp_a + 1.0) - 1/(expt1 + 1.0) ) batch_grad_diff += batch_X.transpose().dot( batch_Y * diff_expt ) return batch_grad_diff / float(b) # full else: # calculate number of batches if nnzX == 0: nnzX = d batch_size = int(total_mem_full // nnzX) num_batches = math.ceil(b / batch_size) full_grad_diff = np.zeros(d) for j in range(num_batches): # calculate start/end indices for each batch startIdx = batch_size*j endIdx = np.minimum(batch_size*(j+1), n-1) batch_X = X[startIdx:endIdx] batch_Y = Y[startIdx:endIdx] batch_bias = bias[startIdx:endIdx] expt1 = np.exp(batch_Y * (batch_X.dot(w1) + batch_bias) ) expt2 = np.exp(batch_Y * (batch_X.dot(w2) + batch_bias) ) diff_expt = ( 1/(expt2*exp_a + 1.0) - 1/(expt2 + 1.0) ) - (1/(expt1*exp_a + 1.0) - 1/(expt1 + 1.0) ) full_grad_diff += batch_X.transpose().dot( batch_Y * diff_expt ) return full_grad_diff / float(n)

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7

2d167c74f6c67998d0791608c1e406c16b715f4f

5,116

py

Python

Other/setDimensions.py

protimient/Glyphs-Scripts

0481ea01153844667cff8cfa3fad97c33af09956

[ "Apache-2.0" ]

2

2021-02-12T20:36:29.000Z

2021-11-03T08:04:01.000Z

Other/setDimensions.py

protimient/Glyphs-Scripts

0481ea01153844667cff8cfa3fad97c33af09956

[ "Apache-2.0" ]

null

Other/setDimensions.py

protimient/Glyphs-Scripts

0481ea01153844667cff8cfa3fad97c33af09956

[ "Apache-2.0" ]

null

# MenuTitle: Set Dimensions # -*- coding: utf-8 -*- __doc__ = """ Sets the Latin values for each master in the Dimesions pallette in the top right. """ Glyphs.clearLog() # Glyphs.showMacroWindow() class getMeasurements: def __init__(self, m): self.m = m if Glyphs.font.userData["GSDimensionPlugin.Dimensions"] is None: Glyphs.font.userData["GSDimensionPlugin.Dimensions"] = {} if Glyphs.font.userData["GSDimensionPlugin.Dimensions"].get(self.m.id) is None: Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id] = {} def get_HH(self): l = Glyphs.font.glyphs['H'].layers[self.m.id].copyDecomposedLayer() p1 = NSPoint(l.width / 2, 0) p2 = NSPoint(l.width / 2, self.m.capHeight) vals = l.intersectionsBetweenPoints(p1, p2, components=True)[1:-1] if vals: return int(vals[1].y - vals[0].y) def get_HV(self): l = Glyphs.font.glyphs['H'].layers[self.m.id].copyDecomposedLayer() p1 = NSPoint(0, self.m.capHeight / 3) p2 = NSPoint(l.width / 2, self.m.capHeight / 3) vals = l.intersectionsBetweenPoints(p1, p2, components=True)[1:-1] if vals: return int(vals[1].x - vals[0].x) def get_OH(self): l = Glyphs.font.glyphs['O'].layers[self.m.id].copyDecomposedLayer() l.removeOverlap() c1 = l.paths[0] c2 = l.paths[1] c1_top = c1.bounds.origin.y + c1.bounds.size.height c2_top = c2.bounds.origin.y + c2.bounds.size.height val = int(abs(c1_top - c2_top)) return val def get_OV(self): l = Glyphs.font.glyphs['O'].layers[self.m.id].copyDecomposedLayer() l.removeOverlap() c1 = l.paths[0] c2 = l.paths[1] c1_top = c1.bounds.origin.x c2_top = c2.bounds.origin.x val = int(abs(c1_top - c2_top)) return val def get_nV(self): l = Glyphs.font.glyphs['i'].layers[self.m.id].copyDecomposedLayer() p1 = NSPoint(0, self.m.xHeight / 2) p2 = NSPoint(l.width, self.m.xHeight / 2) vals = l.intersectionsBetweenPoints(p1, p2, components=True)[1:-1] if vals: return int(vals[1].x - vals[0].x) def get_oH(self): l = Glyphs.font.glyphs['o'].layers[self.m.id].copyDecomposedLayer() l.removeOverlap() c1 = l.paths[0] c2 = l.paths[1] c1_top = c1.bounds.origin.y + c1.bounds.size.height c2_top = c2.bounds.origin.y + c2.bounds.size.height val = int(abs(c1_top - c2_top)) return val def get_oV(self): l = Glyphs.font.glyphs['o'].layers[self.m.id].copyDecomposedLayer() l.removeOverlap() c1 = l.paths[0] c2 = l.paths[1] c1_top = c1.bounds.origin.x c2_top = c2.bounds.origin.x val = int(abs(c1_top - c2_top)) return val def get_tH(self): l = Glyphs.font.glyphs['t'].layers[self.m.id].copyDecomposedLayer() p1 = NSPoint(l.width * 0.75, self.m.ascender) p2 = NSPoint(l.width * 0.75, self.m.xHeight / 2) vals = l.intersectionsBetweenPoints(p1, p2, components=True)[1:-1] if vals: return abs(int(vals[1].y - vals[0].y)) @staticmethod def report(msg): print(msg) def set_vals(self): Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['HH'] = self.get_HH() or '' self.report('Set HH to {}'.format(Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['HH'])) Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['HV'] = self.get_HV() or '' self.report('Set HV to {}'.format(Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['HV'])) Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['OH'] = self.get_OH() or '' self.report('Set OH to {}'.format(Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['OH'])) Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['OV'] = self.get_OV() or '' self.report('Set OV to {}'.format(Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['OV'])) Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['nV'] = self.get_nV() or '' self.report('Set nV to {}'.format(Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['nV'])) Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['oH'] = self.get_oH() or '' self.report('Set oH to {}'.format(Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['oH'])) Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['oV'] = self.get_oV() or '' self.report('Set oV to {}'.format(Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['oV'])) Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['tH'] = self.get_tH() or '' self.report('Set tH to {}'.format(Glyphs.font.userData["GSDimensionPlugin.Dimensions"][self.m.id]['tH'])) for m in Glyphs.font.masters: x = getMeasurements(m) x.set_vals()

42.991597

113

0.617279

707

5,116

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0.123055

0.056162

0.058408

0.224647

0.854621

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0.741977

0.686457

0

0.023313

0.211884

5,116

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0.749504

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0

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false

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0.010204

0

null

0

1

0

null

0

7

2d208c7b0715fa7e15cedbd1958336d6a88c7e6d

280

py

Python

ros_package/setup.py

Tobias-Fischer/code_templates

c3e454515dba2b2a5fd3e27dadca5e617230d8df

[ "BSD-3-Clause" ]

1

2021-04-20T22:28:14.000Z

ros_package/setup.py

Tobias-Fischer/code_templates

c3e454515dba2b2a5fd3e27dadca5e617230d8df

[ "BSD-3-Clause" ]

15

2021-04-19T22:34:37.000Z

2022-02-10T12:26:33.000Z

ros_package/setup.py

Tobias-Fischer/code_templates

c3e454515dba2b2a5fd3e27dadca5e617230d8df

[ "BSD-3-Clause" ]

1

2022-02-10T04:24:47.000Z

from distutils.core import setup from catkin_pkg.python_setup import generate_distutils_setup setup(**generate_distutils_setup(packages=['PACKAGE_NAME'], scripts=['scripts/ADD_PY_NODE'], package_dir={'': 'src'}))

40

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0.62069

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0

0.282143

280

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null

1

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1

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1

0

null

0

1

0

1

0

7

77bdb7afb378a5d4719bccadddc8d06741d20c3c

22,917

py

Python

tb_rest_client/api/api_pe/solution_controller_api.py

samson0v/python_tb_rest_client

08ff7898740f7cec2170e85d5c3c89e222e967f7

[ "Apache-2.0" ]

30

2020-06-19T06:42:50.000Z

2021-08-23T21:16:36.000Z

tb_rest_client/api/api_pe/solution_controller_api.py

samson0v/python_tb_rest_client

08ff7898740f7cec2170e85d5c3c89e222e967f7

[ "Apache-2.0" ]

25

2021-08-30T01:17:27.000Z

2022-03-16T14:10:14.000Z

tb_rest_client/api/api_pe/solution_controller_api.py

samson0v/python_tb_rest_client

08ff7898740f7cec2170e85d5c3c89e222e967f7

[ "Apache-2.0" ]

23

2020-07-06T13:41:54.000Z

2021-08-23T21:04:50.000Z

# coding: utf-8 """ ThingsBoard REST API ThingsBoard Professional Edition IoT platform REST API documentation. # noqa: E501 OpenAPI spec version: 3.3.3PAAS-RC1 Contact: info@thingsboard.io Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from tb_rest_client.api_client import ApiClient class SolutionControllerApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def get_solution_template_details_using_get(self, solution_template_id, **kwargs): # noqa: E501 """Get Solution template details (getSolutionTemplateDetails) # noqa: E501 Get a solution template details based on the provided id Security check is performed to verify that the user has 'READ' permission for the entity (entities). # 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_solution_template_details_using_get(solution_template_id, async_req=True) >>> result = thread.get() :param async_req bool :param str solution_template_id: A string value representing the solution template id. For example, '784f394c-42b6-435a-983c-b7beff2784f9' (required) :return: TenantSolutionTemplateDetails If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_solution_template_details_using_get_with_http_info(solution_template_id, **kwargs) # noqa: E501 else: (data) = self.get_solution_template_details_using_get_with_http_info(solution_template_id, **kwargs) # noqa: E501 return data def get_solution_template_details_using_get_with_http_info(self, solution_template_id, **kwargs): # noqa: E501 """Get Solution template details (getSolutionTemplateDetails) # noqa: E501 Get a solution template details based on the provided id Security check is performed to verify that the user has 'READ' permission for the entity (entities). # 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_solution_template_details_using_get_with_http_info(solution_template_id, async_req=True) >>> result = thread.get() :param async_req bool :param str solution_template_id: A string value representing the solution template id. For example, '784f394c-42b6-435a-983c-b7beff2784f9' (required) :return: TenantSolutionTemplateDetails If the method is called asynchronously, returns the request thread. """ all_params = ['solution_template_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_solution_template_details_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'solution_template_id' is set if ('solution_template_id' not in params or params['solution_template_id'] is None): raise ValueError("Missing the required parameter `solution_template_id` when calling `get_solution_template_details_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'solution_template_id' in params: path_params['solutionTemplateId'] = params['solution_template_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/solutions/templates/details/{solutionTemplateId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TenantSolutionTemplateDetails', # 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_solution_template_infos_using_get(self, **kwargs): # noqa: E501 """Get Solution templates (getSolutionTemplateInfos) # noqa: E501 Get a list of solution template descriptors Security check is performed to verify that the user has 'READ' permission for the entity (entities). # 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_solution_template_infos_using_get(async_req=True) >>> result = thread.get() :param async_req bool :return: list[TenantSolutionTemplateInfo] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_solution_template_infos_using_get_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_solution_template_infos_using_get_with_http_info(**kwargs) # noqa: E501 return data def get_solution_template_infos_using_get_with_http_info(self, **kwargs): # noqa: E501 """Get Solution templates (getSolutionTemplateInfos) # noqa: E501 Get a list of solution template descriptors Security check is performed to verify that the user has 'READ' permission for the entity (entities). # 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_solution_template_infos_using_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: list[TenantSolutionTemplateInfo] If the method is called asynchronously, returns the request thread. """ all_params = [] # 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_solution_template_infos_using_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} 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']) # noqa: E501 # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/solutions/templates/infos', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[TenantSolutionTemplateInfo]', # 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_solution_template_instructions_using_get(self, solution_template_id, **kwargs): # noqa: E501 """Get Solution Template Instructions (getSolutionTemplateInstructions) # noqa: E501 Get a solution template instructions based on the provided id Security check is performed to verify that the user has 'READ' permission for the entity (entities). # 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_solution_template_instructions_using_get(solution_template_id, async_req=True) >>> result = thread.get() :param async_req bool :param str solution_template_id: A string value representing the solution template id. For example, '784f394c-42b6-435a-983c-b7beff2784f9' (required) :return: TenantSolutionTemplateInstructions If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_solution_template_instructions_using_get_with_http_info(solution_template_id, **kwargs) # noqa: E501 else: (data) = self.get_solution_template_instructions_using_get_with_http_info(solution_template_id, **kwargs) # noqa: E501 return data def get_solution_template_instructions_using_get_with_http_info(self, solution_template_id, **kwargs): # noqa: E501 """Get Solution Template Instructions (getSolutionTemplateInstructions) # noqa: E501 Get a solution template instructions based on the provided id Security check is performed to verify that the user has 'READ' permission for the entity (entities). # 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_solution_template_instructions_using_get_with_http_info(solution_template_id, async_req=True) >>> result = thread.get() :param async_req bool :param str solution_template_id: A string value representing the solution template id. For example, '784f394c-42b6-435a-983c-b7beff2784f9' (required) :return: TenantSolutionTemplateInstructions If the method is called asynchronously, returns the request thread. """ all_params = ['solution_template_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_solution_template_instructions_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'solution_template_id' is set if ('solution_template_id' not in params or params['solution_template_id'] is None): raise ValueError("Missing the required parameter `solution_template_id` when calling `get_solution_template_instructions_using_get`") # noqa: E501 collection_formats = {} path_params = {} if 'solution_template_id' in params: path_params['solutionTemplateId'] = params['solution_template_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/solutions/templates/instructions/{solutionTemplateId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TenantSolutionTemplateInstructions', # 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 install_solution_template_using_post(self, solution_template_id, **kwargs): # noqa: E501 """Install Solution Template (installSolutionTemplate) # noqa: E501 Install solution template based on the provided id Security check is performed to verify that the user has 'WRITE' permission for the entity (entities). # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.install_solution_template_using_post(solution_template_id, async_req=True) >>> result = thread.get() :param async_req bool :param str solution_template_id: A string value representing the solution template id. For example, '784f394c-42b6-435a-983c-b7beff2784f9' (required) :return: SolutionInstallResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.install_solution_template_using_post_with_http_info(solution_template_id, **kwargs) # noqa: E501 else: (data) = self.install_solution_template_using_post_with_http_info(solution_template_id, **kwargs) # noqa: E501 return data def install_solution_template_using_post_with_http_info(self, solution_template_id, **kwargs): # noqa: E501 """Install Solution Template (installSolutionTemplate) # noqa: E501 Install solution template based on the provided id Security check is performed to verify that the user has 'WRITE' permission for the entity (entities). # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.install_solution_template_using_post_with_http_info(solution_template_id, async_req=True) >>> result = thread.get() :param async_req bool :param str solution_template_id: A string value representing the solution template id. For example, '784f394c-42b6-435a-983c-b7beff2784f9' (required) :return: SolutionInstallResponse If the method is called asynchronously, returns the request thread. """ all_params = ['solution_template_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method install_solution_template_using_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'solution_template_id' is set if ('solution_template_id' not in params or params['solution_template_id'] is None): raise ValueError("Missing the required parameter `solution_template_id` when calling `install_solution_template_using_post`") # noqa: E501 collection_formats = {} path_params = {} if 'solution_template_id' in params: path_params['solutionTemplateId'] = params['solution_template_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/solutions/templates/{solutionTemplateId}/install', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SolutionInstallResponse', # 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 uninstall_solution_template_using_delete(self, solution_template_id, **kwargs): # noqa: E501 """Uninstall Solution Template (uninstallSolutionTemplate) # noqa: E501 Uninstall solution template based on the provided id Security check is performed to verify that the user has 'DELETE' permission for the entity (entities). # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.uninstall_solution_template_using_delete(solution_template_id, async_req=True) >>> result = thread.get() :param async_req bool :param str solution_template_id: A string value representing the solution template id. For example, '784f394c-42b6-435a-983c-b7beff2784f9' (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.uninstall_solution_template_using_delete_with_http_info(solution_template_id, **kwargs) # noqa: E501 else: (data) = self.uninstall_solution_template_using_delete_with_http_info(solution_template_id, **kwargs) # noqa: E501 return data def uninstall_solution_template_using_delete_with_http_info(self, solution_template_id, **kwargs): # noqa: E501 """Uninstall Solution Template (uninstallSolutionTemplate) # noqa: E501 Uninstall solution template based on the provided id Security check is performed to verify that the user has 'DELETE' permission for the entity (entities). # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.uninstall_solution_template_using_delete_with_http_info(solution_template_id, async_req=True) >>> result = thread.get() :param async_req bool :param str solution_template_id: A string value representing the solution template id. For example, '784f394c-42b6-435a-983c-b7beff2784f9' (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['solution_template_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method uninstall_solution_template_using_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'solution_template_id' is set if ('solution_template_id' not in params or params['solution_template_id'] is None): raise ValueError("Missing the required parameter `solution_template_id` when calling `uninstall_solution_template_using_delete`") # noqa: E501 collection_formats = {} path_params = {} if 'solution_template_id' in params: path_params['solutionTemplateId'] = params['solution_template_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['X-Authorization'] # noqa: E501 return self.api_client.call_api( '/api/solutions/templates/{solutionTemplateId}/delete', '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)

45.742515

186

0.660514

2,637

22,917

5.459613

0.075085

0.138918

0.085018

0.025005

0.952768

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0.925887

0.921164

0.911857

0

0.022741

0.261247

22,917

500

187

45.834

0.827643

0.39198

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1

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0

null

0

1

0

1

0

null

0

7

77de934815d0230519633429fb72dcdfd66e189b

8,181

py

Python

eeghdf/convert.py

aragorn/eeg-hdfstorage

bfc2048a3cc6e941353eec43840b5086c4f115cf

[ "BSD-3-Clause" ]

null

eeghdf/convert.py

aragorn/eeg-hdfstorage

bfc2048a3cc6e941353eec43840b5086c4f115cf

[ "BSD-3-Clause" ]

null

eeghdf/convert.py

aragorn/eeg-hdfstorage

bfc2048a3cc6e941353eec43840b5086c4f115cf

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import mne # TODO !!!: # def hdf2edf(hf) # so can reverse process def sechdf1020_to_mne(hf): """@hf is an eeghdf Eeghdf object opened on a file from the stanford EEG corpus for a scalp EEG using the 10-20 system""" # start to make this into a function # find useful_channels useful_channels = [] useful_channel_labels = [] for ii, label in enumerate(hf.electrode_labels): if label.find("Mark") >= 0: continue if label.find("EEG") >= 0: # we use standard names useful_channels.append(ii) useful_channel_labels.append(label) # add ECG if there for ii, label in enumerate(hf.electrode_labels): if label.find("ECG") >= 0: useful_channels.append(ii) useful_channel_labels.append(label) print(list(zip(useful_channels, useful_channel_labels))) num_uchans = len(useful_channels) def label2type(name): """lots of assumptions to use this as name is already limited""" try: if name[:6] == "EEG Pg": return "eog" except: pass if name[:3] == "ECG": return "ecg" if name[:3] == "EEG": return "eeg" return "misc" channel_types = [label2type(label) for label in useful_channel_labels] print(channel_types) # now get rid of the prefixes uchan_names = [ ss.split()[1] if ss[:3] == "EEG" else ss for ss in useful_channel_labels ] print("final view before sending to info") for ii, name in enumerate(uchan_names): print(ii, name, channel_types[ii]) # finally remove the prefix 'EEG' from the label names # info - mne.create_info(unum_uchans, hf.sample_frequency) info = mne.create_info( uchan_names, hf.sample_frequency, channel_types, montage="standard_1020" ) print(info) # montage = 'standard_1010' # might work # start on the data data = hf.phys_signals[useful_channels, :] # MNE wants EEG and ECG in Volts for jj, ii in enumerate(useful_channels): unit = hf.physical_dimensions[ii] if unit == "uV": data[jj, :] = data[jj, :] / 1000000 if unit == "mV": data[jj, :] = data[jj, :] / 1000 print(data.shape) # TODO: transfer recording and patient details. API ref # url: https://martinos.org/mne/dev/generated/mne.Info.html#mne.Info # TODO: next need to figure out how to add the events/annotations info["custom_ref_applied"] = True # for SEC this is true # events are a list of dict events list of dict: # channels : list of int # Channel indices for the events. # event dict: # 'channels' : list|ndarray of int|int32 # channel indices for the evnets # 'list' : ndarray, shape (n_events * 3,) # triplets as number of samples, before, after. # I will need to see an exmaple of this # info['highpass'], info['lowpass'] info["line_freq"] = 60.0 # info['subject_info'] = <dict> # subject_info dict: # id : int # Integer subject identifier. # his_id : str # String subject identifier. # last_name : str # Last name. # first_name : str # First name. # middle_name : str # Middle name. # birthday : tuple of int # Birthday in (year, month, day) format. # sex : int # Subject sex (0=unknown, 1=male, 2=female). customraw = mne.io.RawArray(data, info) return customraw, info, useful_channels def hdf2mne(hf): """convert generic eeg hdf5 object to mne raw object @hf is a generic eeghdf Eeghdf object opened on a file if you are using the stanford eeg corpus (SEC) then you should use sechdf1020_to_mne as this can assume more things can put more info in the raw object. In many cases for example the recording was done using 10-20 system electrodes + EOG and ECG monitors and this does not respect that This just dumps all the data in as misc channels and expects the user to figure out which channels types are which """ # start to make this into a function # find useful_channels useful_channels = [] useful_channel_labels = [] for ii, label in enumerate(hf.electrode_labels): if label.find("Mark") >= 0: continue if label.find("EEG") >= 0: # we use standard names useful_channels.append(ii) useful_channel_labels.append(label) # add ECG if there for ii, label in enumerate(hf.electrode_labels): if label.find("ECG") >= 0: useful_channels.append(ii) useful_channel_labels.append(label) print(list(zip(useful_channels, useful_channel_labels))) num_uchans = len(useful_channels) def label2type(name): """lots of assumptions to use this as name is already limited it is more or less based upon the "standard texts" the edf specification""" try: if ( name[:6] == "EEG Pg" ): # this is a decision but could figure this out better return "eog" except: pass if name[:3] == "ECG": return "ecg" if name[:3] == "EEG": return "eeg" if name[:3] == "EMG": return "emg" if name[:3] == "MEG": return "meg" if name[:3] == "MCG": return "misc" # 'mcg' ? if name[:3] == "EP": return "eeg" # evoked potential if name[:3] == "ERG": # electroretinogram return "misc" if name[:4] == "Temp": return "misc" # if name[:4] == "SaO2": return "misc" if name[:5] == "Light": return "misc" if name[:5] == "Sound": return "misc" if name[:5] == "Event": # event button return "misc" return "misc" channel_types = [label2type(label) for label in useful_channel_labels] print(channel_types) # now get rid of the prefixes uchan_names = [ ss.split()[1] if ss[:3] == "EEG" else ss for ss in useful_channel_labels ] print("final view before sending to info") for ii, name in enumerate(uchan_names): print(ii, name, channel_types[ii]) # finally remove the prefix 'EEG' from the label names info = mne.create_info( uchan_names, hf.sample_frequency, channel_types, montage="standard_1020" ) print(info) # montage = 'standard_1010' # might work # start on the data data = hf.phys_signals[useful_channels, :] # MNE wants EEG and ECG in Volts for jj, ii in enumerate(useful_channels): unit = hf.physical_dimensions[ii] if unit == "uV": data[jj, :] = data[jj, :] / 1000000 if unit == "mV": data[jj, :] = data[jj, :] / 1000 print(data.shape) # TODO: transfer recording and patient details. API ref # url: https://martinos.org/mne/dev/generated/mne.Info.html#mne.Info # TODO: next need to figure out how to add the events/annotations info["custom_ref_applied"] = True # for SEC this is true # events are a list of dict events list of dict: # channels : list of int # Channel indices for the events. # event dict: # 'channels' : list|ndarray of int|int32 # channel indices for the evnets # 'list' : ndarray, shape (n_events * 3,) # triplets as number of samples, before, after. # I will need to see an exmaple of this # info['highpass'], info['lowpass'] info["line_freq"] = 60.0 # info['subject_info'] = <dict> # subject_info dict: # id : int # Integer subject identifier. # his_id : str # String subject identifier. # last_name : str # Last name. # first_name : str # First name. # middle_name : str # Middle name. # birthday : tuple of int # Birthday in (year, month, day) format. # sex : int # Subject sex (0=unknown, 1=male, 2=female). customraw = mne.io.RawArray(data, info) return customraw, info, useful_channels

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4.383349

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0

null

0

1

0

1

0

null

0

1

0

8

7ae2801cbad727d971af4b1f8964418899ae580e

10,558

py

Python

Pycraft/DisplayUtils.py

demirdogukan/InsiderPycraft

5567107326fbd222a7df6aabf4ab265e0a157636

[ "MIT" ]

22

2021-03-25T17:47:45.000Z

2022-03-29T01:56:12.000Z

Pycraft/DisplayUtils.py

demirdogukan/InsiderPycraft

5567107326fbd222a7df6aabf4ab265e0a157636

[ "MIT" ]

1

2021-12-22T16:12:59.000Z

Pycraft/DisplayUtils.py

demirdogukan/InsiderPycraft

5567107326fbd222a7df6aabf4ab265e0a157636

[ "MIT" ]

3

2021-09-05T14:10:05.000Z

2022-01-10T12:57:34.000Z

if not __name__ == "__main__": print("Started <Pycraft_DisplayUtils>") class DisplayUtils: def __init__(self): pass def UpdateDisplay(self): # Run tests to make sure windows not too small self.Data_aFPS = [] self.Data_CPUUsE = [] self.Data_eFPS = [] self.Data_MemUsE = [] self.Timer = 0 self.Data_aFPS_Min = 60 self.Data_aFPS_Max = 1 self.Data_CPUUsE_Min = 60 self.Data_CPUUsE_Max = 1 self.Data_eFPS_Min = 60 self.Data_eFPS_Max = 1 self.Data_MemUsE_Min = 50 self.Data_MemUsE_Max = 50 self.Data_CPUUsE_Min = 50 self.Data_CPUUsE_Max = 50 try: try: FullscreenX, FullscreenY = self.mod_Pyautogui__.size() icon = self.mod_Pygame__.image.load(self.mod_OS__.path.join(self.base_folder, ("Resources\\General_Resources\\Icon.jpg"))).convert() self.mod_Pygame__.display.set_icon(icon) if self.Fullscreen == False: self.mod_Pygame__.display.quit() self.mod_Pygame__.init() self.Fullscreen = True self.Display = self.mod_Pygame__.display.set_mode((self.SavedWidth, self.SavedHeight), self.mod_Pygame__.RESIZABLE) elif self.Fullscreen == True: self.mod_Pygame__.display.quit() self.mod_Pygame__.init() self.Fullscreen = False self.Display = self.mod_Pygame__.display.set_mode((FullscreenX, FullscreenY), self.mod_Pygame__.FULLSCREEN|self.mod_Pygame__.HWSURFACE|self.mod_Pygame__.DOUBLEBUF) except Exception as error: self.Fullscreen = True self.SavedWidth = 1280 self.SavedHeight = 720 self.mod_Pygame__.display.quit() self.mod_Pygame__.init() self.Display = self.mod_Pygame__.display.set_mode((self.SavedWidth, self.SavedHeight)) icon = self.mod_Pygame__.image.load(self.mod_OS__.path.join(self.base_folder, ("Resources\\General_Resources\\Icon.jpg"))).convert() self.mod_Pygame__.display.set_icon(icon) except Exception as Message: return Message else: return None def SetOPENGLdisplay(self): try: try: FullscreenX, FullscreenY = self.mod_Pyautogui__.size() icon = self.mod_Pygame__.image.load(self.mod_OS__.path.join(self.base_folder, ("Resources\\General_Resources\\Icon.jpg"))).convert() self.mod_Pygame__.display.set_icon(icon) if self.Fullscreen == True: self.mod_Pygame__.display.quit() self.mod_Pygame__.init() self.Display = self.mod_Pygame__.display.set_mode((self.SavedWidth, self.SavedHeight), self.mod_Pygame__.DOUBLEBUF|self.mod_Pygame__.OPENGL) elif self.Fullscreen == False: self.mod_Pygame__.display.quit() self.mod_Pygame__.init() self.Display = self.mod_Pygame__.display.set_mode((FullscreenX, FullscreenY), self.mod_Pygame__.FULLSCREEN|self.mod_Pygame__.HWSURFACE|self.mod_Pygame__.DOUBLEBUF|self.mod_Pygame__.OPENGL) except Exception as error: self.SavedWidth = 1280 self.SavedHeight = 720 self.mod_Pygame__.display.quit() self.mod_Pygame__.init() self.Display = self.mod_Pygame__.display.set_mode((self.SavedWidth, self.SavedHeight), self.mod_Pygame__.DOUBLEBUF|self.mod_Pygame__.OPENGL) icon = self.mod_Pygame__.image.load(self.mod_OS__.path.join(self.base_folder, ("Resources\\General_Resources\\Icon.jpg"))).convert() self.mod_Pygame__.display.set_icon(icon) except Exception as Message: return Message else: return None def UpdateOPENGLdisplay(self): try: try: FullscreenX, FullscreenY = self.mod_Pyautogui__.size() icon = self.mod_Pygame__.image.load(self.mod_OS__.path.join(self.base_folder, ("Resources\\General_Resources\\Icon.jpg"))).convert() self.mod_Pygame__.display.set_icon(icon) if self.Fullscreen == False: self.mod_Pygame__.display.quit() self.mod_Pygame__.init() self.Fullscreen = True self.Display = self.mod_Pygame__.display.set_mode((self.SavedWidth, self.SavedHeight), self.mod_Pygame__.DOUBLEBUF|self.mod_Pygame__.OPENGL) elif self.Fullscreen == True: self.mod_Pygame__.display.quit() self.mod_Pygame__.init() self.Fullscreen = False self.Display = self.mod_Pygame__.display.set_mode((FullscreenX, FullscreenY), self.mod_Pygame__.FULLSCREEN|self.mod_Pygame__.HWSURFACE|self.mod_Pygame__.DOUBLEBUF|self.mod_Pygame__.OPENGL) except: self.SavedWidth = 1280 self.SavedHeight = 720 self.mod_Pygame__.display.quit() self.mod_Pygame__.init() self.Fullscreen = False self.Display = self.mod_Pygame__.display.set_mode((self.SavedWidth, self.SavedHeight), self.mod_Pygame__.DOUBLEBUF|self.mod_Pygame__.OPENGL) icon = self.mod_Pygame__.image.load(self.mod_OS__.path.join(self.base_folder, ("Resources\\General_Resources\\Icon.jpg"))).convert() self.mod_Pygame__.display.set_icon(icon) except Exception as Message: return Message else: return None def SetDisplay(self): self.Data_aFPS = [] self.Data_CPUUsE = [] self.Data_eFPS = [] self.Data_MemUsE = [] self.Timer = 0 self.Data_aFPS_Min = 60 self.Data_aFPS_Max = 1 self.Data_CPUUsE_Min = 60 self.Data_CPUUsE_Max = 1 self.Data_eFPS_Min = 60 self.Data_eFPS_Max = 1 self.Data_MemUsE_Min = 50 self.Data_MemUsE_Max = 50 self.Data_CPUUsE_Min = 50 self.Data_CPUUsE_Max = 50 try: try: FullscreenX, FullscreenY = self.mod_Pyautogui__.size() if self.Fullscreen == True: self.mod_Pygame__.display.quit() self.mod_Pygame__.init() self.Display = self.mod_Pygame__.display.set_mode((self.SavedWidth, self.SavedHeight), self.mod_Pygame__.RESIZABLE) elif self.Fullscreen == False: self.mod_Pygame__.display.quit() self.mod_Pygame__.init() self.Display = self.mod_Pygame__.display.set_mode((FullscreenX, FullscreenY), self.mod_Pygame__.FULLSCREEN|self.mod_Pygame__.HWSURFACE|self.mod_Pygame__.DOUBLEBUF) except Exception as error: self.SavedWidth = 1280 self.SavedHeight = 720 self.mod_Pygame__.display.quit() self.mod_Pygame__.init() self.Display = self.mod_Pygame__.display.set_mode((self.SavedWidth, self.SavedHeight)) icon = self.mod_Pygame__.image.load(self.mod_OS__.path.join(self.base_folder, ("Resources\\General_Resources\\Icon.jpg"))).convert() self.mod_Pygame__.display.set_icon(icon) except Exception as Message: return Message else: return None def GenerateMinDisplay(self, width, height): try: self.Display = self.mod_Pygame__.display.set_mode((width, height), self.mod_Pygame__.RESIZABLE) icon = self.mod_Pygame__.image.load(self.mod_OS__.path.join(self.base_folder, ("Resources\\General_Resources\\Icon.jpg"))).convert() self.mod_Pygame__.display.set_icon(icon) except Exception as Message: return Message else: return None def GetDisplayLocation(self): hwnd = self.mod_Pygame__.display.get_wm_info()["window"] prototype = self.mod_Ctypes__.WINFUNCTYPE(self.mod_Ctypes__.wintypes.BOOL, self.mod_Ctypes__.wintypes.HWND, self.mod_Ctypes__.POINTER(self.mod_Ctypes__.wintypes.RECT)) paramflags = (1, "hwnd"), (2, "lprect") GetWindowRect = prototype(("GetWindowRect", self.mod_Ctypes__.windll.user32), paramflags) rect = GetWindowRect(hwnd) return rect.left+8, rect.top+31 def GetPlayStatus(self): if self.mod_Pygame__.display.get_active() == True: tempFPS = self.FPS self.mod_Pygame__.mixer.Channel(2).unpause() if self.mod_Pygame__.mixer.Channel(2).get_busy() == 0 and self.LoadMusic == True: if self.music == True and self.CurrentlyPlaying == None: self.CurrentlyPlaying = "InvSound" self.LoadMusic = False MusicThread = self.mod_Threading__.Thread(target=self.mod_SoundUtils__.PlaySound.PlayInvSound, args=(self,)) MusicThread.start() else: self.LoadMusic = True tempFPS = 15 self.mod_Pygame__.mixer.Channel(2).pause() return tempFPS else: print("You need to run this as part of Pycraft") import tkinter as tk from tkinter import messagebox root = tk.Tk() root.withdraw() messagebox.showerror("Startup Fail", "You need to run this as part of Pycraft, please run the 'main.py' file") quit()

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bb507127334af2651fbbedf3b62a999642fc7fd6

169

py

Python

python/lsst/obs/vista/__init__.py

raphaelshirley/obs_vista

69457409dcbeb856c174e4233d2dd5419602b93f

[ "Apache-2.0" ]

1

2020-07-16T16:20:00.000Z

python/lsst/obs/vista/__init__.py

raphaelshirley/obs_vista

69457409dcbeb856c174e4233d2dd5419602b93f

[ "Apache-2.0" ]

1

2020-07-16T10:17:07.000Z

2020-07-20T15:30:49.000Z

python/lsst/obs/vista/__init__.py

raphaelshirley/obs_vista

69457409dcbeb856c174e4233d2dd5419602b93f

[ "Apache-2.0" ]

1

2021-06-07T10:09:03.000Z

from ._instrument import * from .vircamMapper import * from .makeVircamRawVisitInfo import * from ._instrument import * from .rawFormatter import * from .ingest import *

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