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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
71f25173806a2d54e12dc1381ccb406729246365 | 144 | py | Python | src/models/classification/__init__.py | daevem/tensorflow-research | bee16375186f3b16800986f56dcebfb43d79f293 | [
"MIT"
] | null | null | null | src/models/classification/__init__.py | daevem/tensorflow-research | bee16375186f3b16800986f56dcebfb43d79f293 | [
"MIT"
] | null | null | null | src/models/classification/__init__.py | daevem/tensorflow-research | bee16375186f3b16800986f56dcebfb43d79f293 | [
"MIT"
] | null | null | null | from .conv_classification_model import ConvClassificationModel
from .adversarially_classification_model import AdversariallyClassificationModel
| 48 | 80 | 0.930556 | 12 | 144 | 10.833333 | 0.666667 | 0.292308 | 0.384615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055556 | 144 | 2 | 81 | 72 | 0.955882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
9c07709f75405984043d244fb4d3b88ee341a56e | 6,379 | py | Python | venv/lib/python3.6/site-packages/tensorflow_core/_api/v2/compat/v2/nn/__init__.py | databill86/HyperFoods | 9267937c8c70fd84017c0f153c241d2686a356dd | [
"MIT"
] | 2 | 2020-09-30T00:11:09.000Z | 2021-10-04T13:00:38.000Z | venv/lib/python3.6/site-packages/tensorflow_core/_api/v2/nn/__init__.py | databill86/HyperFoods | 9267937c8c70fd84017c0f153c241d2686a356dd | [
"MIT"
] | null | null | null | venv/lib/python3.6/site-packages/tensorflow_core/_api/v2/nn/__init__.py | databill86/HyperFoods | 9267937c8c70fd84017c0f153c241d2686a356dd | [
"MIT"
] | null | null | null | # This file is MACHINE GENERATED! Do not edit.
# Generated by: tensorflow/python/tools/api/generator/create_python_api.py script.
"""Wrappers for primitive Neural Net (NN) Operations.
"""
from __future__ import print_function as _print_function
import sys as _sys
from tensorflow.python.keras.layers.rnn_cell_wrapper_v2 import DeviceWrapper as RNNCellDeviceWrapper
from tensorflow.python.keras.layers.rnn_cell_wrapper_v2 import DropoutWrapper as RNNCellDropoutWrapper
from tensorflow.python.keras.layers.rnn_cell_wrapper_v2 import ResidualWrapper as RNNCellResidualWrapper
from tensorflow.python.ops.array_ops import depth_to_space_v2 as depth_to_space
from tensorflow.python.ops.array_ops import space_to_batch_v2 as space_to_batch
from tensorflow.python.ops.array_ops import space_to_depth_v2 as space_to_depth
from tensorflow.python.ops.candidate_sampling_ops import all_candidate_sampler
from tensorflow.python.ops.candidate_sampling_ops import compute_accidental_hits
from tensorflow.python.ops.candidate_sampling_ops import fixed_unigram_candidate_sampler
from tensorflow.python.ops.candidate_sampling_ops import learned_unigram_candidate_sampler
from tensorflow.python.ops.ctc_ops import collapse_repeated
from tensorflow.python.ops.ctc_ops import ctc_beam_search_decoder_v2 as ctc_beam_search_decoder
from tensorflow.python.ops.ctc_ops import ctc_greedy_decoder
from tensorflow.python.ops.ctc_ops import ctc_loss_v2 as ctc_loss
from tensorflow.python.ops.ctc_ops import ctc_unique_labels
from tensorflow.python.ops.embedding_ops import embedding_lookup_sparse_v2 as embedding_lookup_sparse
from tensorflow.python.ops.embedding_ops import embedding_lookup_v2 as embedding_lookup
from tensorflow.python.ops.embedding_ops import safe_embedding_lookup_sparse_v2 as safe_embedding_lookup_sparse
from tensorflow.python.ops.gen_math_ops import tanh
from tensorflow.python.ops.gen_nn_ops import depthwise_conv2d_native_backprop_filter as depthwise_conv2d_backprop_filter
from tensorflow.python.ops.gen_nn_ops import depthwise_conv2d_native_backprop_input as depthwise_conv2d_backprop_input
from tensorflow.python.ops.gen_nn_ops import elu
from tensorflow.python.ops.gen_nn_ops import l2_loss
from tensorflow.python.ops.gen_nn_ops import lrn
from tensorflow.python.ops.gen_nn_ops import lrn as local_response_normalization
from tensorflow.python.ops.gen_nn_ops import relu
from tensorflow.python.ops.gen_nn_ops import selu
from tensorflow.python.ops.gen_nn_ops import softplus
from tensorflow.python.ops.gen_nn_ops import softsign
from tensorflow.python.ops.math_ops import sigmoid
from tensorflow.python.ops.nn_impl import batch_norm_with_global_normalization_v2 as batch_norm_with_global_normalization
from tensorflow.python.ops.nn_impl import batch_normalization
from tensorflow.python.ops.nn_impl import compute_average_loss
from tensorflow.python.ops.nn_impl import depthwise_conv2d_v2 as depthwise_conv2d
from tensorflow.python.ops.nn_impl import l2_normalize_v2 as l2_normalize
from tensorflow.python.ops.nn_impl import log_poisson_loss
from tensorflow.python.ops.nn_impl import moments_v2 as moments
from tensorflow.python.ops.nn_impl import nce_loss_v2 as nce_loss
from tensorflow.python.ops.nn_impl import normalize_moments
from tensorflow.python.ops.nn_impl import sampled_softmax_loss_v2 as sampled_softmax_loss
from tensorflow.python.ops.nn_impl import scale_regularization_loss
from tensorflow.python.ops.nn_impl import separable_conv2d_v2 as separable_conv2d
from tensorflow.python.ops.nn_impl import sigmoid_cross_entropy_with_logits_v2 as sigmoid_cross_entropy_with_logits
from tensorflow.python.ops.nn_impl import sufficient_statistics_v2 as sufficient_statistics
from tensorflow.python.ops.nn_impl import swish
from tensorflow.python.ops.nn_impl import weighted_cross_entropy_with_logits_v2 as weighted_cross_entropy_with_logits
from tensorflow.python.ops.nn_impl import weighted_moments_v2 as weighted_moments
from tensorflow.python.ops.nn_impl import zero_fraction
from tensorflow.python.ops.nn_ops import atrous_conv2d
from tensorflow.python.ops.nn_ops import atrous_conv2d_transpose
from tensorflow.python.ops.nn_ops import avg_pool1d
from tensorflow.python.ops.nn_ops import avg_pool2d
from tensorflow.python.ops.nn_ops import avg_pool3d
from tensorflow.python.ops.nn_ops import avg_pool_v2 as avg_pool
from tensorflow.python.ops.nn_ops import bias_add
from tensorflow.python.ops.nn_ops import conv1d_transpose
from tensorflow.python.ops.nn_ops import conv1d_v2 as conv1d
from tensorflow.python.ops.nn_ops import conv2d_transpose_v2 as conv2d_transpose
from tensorflow.python.ops.nn_ops import conv2d_v2 as conv2d
from tensorflow.python.ops.nn_ops import conv3d_transpose_v2 as conv3d_transpose
from tensorflow.python.ops.nn_ops import conv3d_v2 as conv3d
from tensorflow.python.ops.nn_ops import conv_transpose
from tensorflow.python.ops.nn_ops import convolution_v2 as convolution
from tensorflow.python.ops.nn_ops import crelu_v2 as crelu
from tensorflow.python.ops.nn_ops import dilation2d_v2 as dilation2d
from tensorflow.python.ops.nn_ops import dropout_v2 as dropout
from tensorflow.python.ops.nn_ops import erosion2d_v2 as erosion2d
from tensorflow.python.ops.nn_ops import fractional_avg_pool_v2 as fractional_avg_pool
from tensorflow.python.ops.nn_ops import fractional_max_pool_v2 as fractional_max_pool
from tensorflow.python.ops.nn_ops import in_top_k_v2 as in_top_k
from tensorflow.python.ops.nn_ops import leaky_relu
from tensorflow.python.ops.nn_ops import log_softmax_v2 as log_softmax
from tensorflow.python.ops.nn_ops import max_pool1d
from tensorflow.python.ops.nn_ops import max_pool2d
from tensorflow.python.ops.nn_ops import max_pool3d
from tensorflow.python.ops.nn_ops import max_pool_v2 as max_pool
from tensorflow.python.ops.nn_ops import max_pool_with_argmax_v2 as max_pool_with_argmax
from tensorflow.python.ops.nn_ops import pool_v2 as pool
from tensorflow.python.ops.nn_ops import relu6
from tensorflow.python.ops.nn_ops import softmax_cross_entropy_with_logits_v2 as softmax_cross_entropy_with_logits
from tensorflow.python.ops.nn_ops import softmax_v2 as softmax
from tensorflow.python.ops.nn_ops import sparse_softmax_cross_entropy_with_logits_v2 as sparse_softmax_cross_entropy_with_logits
from tensorflow.python.ops.nn_ops import top_k
from tensorflow.python.ops.nn_ops import with_space_to_batch
del _print_function
| 66.447917 | 128 | 0.883681 | 1,046 | 6,379 | 5.070746 | 0.136711 | 0.25641 | 0.316742 | 0.351244 | 0.752262 | 0.72681 | 0.714744 | 0.606335 | 0.283371 | 0.124623 | 0 | 0.013191 | 0.073052 | 6,379 | 95 | 129 | 67.147368 | 0.883815 | 0.027747 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.988506 | 0 | 0.988506 | 0.022989 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 9 |
9c0f9f95e83e33bbc0a366e3390807f28a4529c4 | 49,464 | py | Python | intensio/test/python/advanced/output/basicRAT-example/core/mjgOuRFBKcJHpThvKilMDFtfwvdnXNxlHPUELYhGGZGEygCVMmXYpFYIwknsaVZgeiMidKXmfpWwXqHvdAEzqwxOwAoCTsVsHMgFkZcTUltuSCyzbKYPSKBcpHelRsLl.py | Chudry/Intensio-Obfuscator | 62f6c8871704693ca79342efb03dcd2530d7614e | [
"MIT"
] | 1 | 2019-09-06T11:55:29.000Z | 2019-09-06T11:55:29.000Z | intensio/test/python/advanced/output/basicRAT-example/core/mjgOuRFBKcJHpThvKilMDFtfwvdnXNxlHPUELYhGGZGEygCVMmXYpFYIwknsaVZgeiMidKXmfpWwXqHvdAEzqwxOwAoCTsVsHMgFkZcTUltuSCyzbKYPSKBcpHelRsLl.py | Chudry/Intensio-Obfuscator | 62f6c8871704693ca79342efb03dcd2530d7614e | [
"MIT"
] | null | null | null | intensio/test/python/advanced/output/basicRAT-example/core/mjgOuRFBKcJHpThvKilMDFtfwvdnXNxlHPUELYhGGZGEygCVMmXYpFYIwknsaVZgeiMidKXmfpWwXqHvdAEzqwxOwAoCTsVsHMgFkZcTUltuSCyzbKYPSKBcpHelRsLl.py | Chudry/Intensio-Obfuscator | 62f6c8871704693ca79342efb03dcd2530d7614e | [
"MIT"
] | null | null | null | RzGzlaAKgiFHPKlYeHXmGWwFVJjGNpoZSQuIfdBOahYmqFlTsjWrJPyjHyzQRiYNeEgGaFEbAAimqKievxWvAPTYadzGhGvKhqOXRmVbQMZxterfvxwCcwNSzxauqJUV="""
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"""
exec(RzGzlaAKgiFHPKlYeHXmGWwFVJjGNpoZSQuIfdBOahYmqFlTsjWrJPyjHyzQRiYNeEgGaFEbAAimqKievxWvAPTYadzGhGvKhqOXRmVbQMZxterfvxwCcwNSzxauqJUV)
| 824.4 | 1,708 | 0.750283 | 12,287 | 49,464 | 3.020428 | 0.006999 | 0.062406 | 0.082453 | 0.095064 | 0.759862 | 0.753072 | 0.750243 | 0.749515 | 0.746928 | 0.745069 | 0 | 0.431636 | 0.001193 | 49,464 | 59 | 1,709 | 838.372881 | 0.319543 | 0 | 0 | 0.067797 | 0 | 0.915254 | 0.994521 | 0.993369 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 |
9c2c1736eec23e17249f271cf1cb07d2e8d1fc15 | 4,066 | py | Python | tests/teacher_class_test.py | MartinVardanyan/My-first-project-on-GitHub | 0bfef25b691362f797b990758cc0fd342b72e891 | [
"Apache-2.0"
] | null | null | null | tests/teacher_class_test.py | MartinVardanyan/My-first-project-on-GitHub | 0bfef25b691362f797b990758cc0fd342b72e891 | [
"Apache-2.0"
] | null | null | null | tests/teacher_class_test.py | MartinVardanyan/My-first-project-on-GitHub | 0bfef25b691362f797b990758cc0fd342b72e891 | [
"Apache-2.0"
] | null | null | null | from teacher_class import Teacher
from money_class import Money
def test_init_repr_teacher(name, surname, age, gender, university, faculty, discipline, experience, amount, currency):
m = Money(amount, currency)
obj = Teacher(name, surname, age, gender, university, faculty, discipline, experience, m)
print(obj)
#test_init_repr_teacher("Martin", 'Vardanyan', 23, 'Male', "RAU", "Economic", "MArketing", 5, 700, 'rub')
def test_set_university(name, surname, age, gender, university, faculty, discipline, experience, amount, currency, set_university):
m = Money(amount, currency)
obj = Teacher(name, surname, age, gender, university, faculty, discipline, experience, m)
obj.set_university(set_university)
print(obj)
def test_set_faculty(name, surname, age, gender, university, faculty, discipline, experience, amount, currency, set_faculty):
m = Money(amount, currency)
obj = Teacher(name, surname, age, gender, university, faculty, discipline, experience, m)
obj.set_faculty(set_faculty)
print(obj)
def test_set_discipline(name, surname, age, gender, university, faculty, discipline, experience, amount, currency, set_discipline):
m = Money(amount, currency)
obj = Teacher(name, surname, age, gender, university, faculty, discipline, experience, m)
obj.set_discipline(set_discipline)
print(obj)
def test_set_experience(name, surname, age, gender, university, faculty, discipline, experience, amount, currency, set_experience):
m = Money(amount, currency)
obj = Teacher(name, surname, age, gender, university, faculty, discipline, experience, m)
obj.set_experience(set_experience)
print(obj)
def test_set_salary(name, surname, age, gender, university, faculty, discipline, experience, amount, currency, amount2, currency2):
m = Money(amount, currency)
obj = Teacher(name, surname, age, gender, university, faculty, discipline, experience, m)
m1 = Money(amount2, currency2)
obj.set_salary(m1)
print(obj)
#test_set_salary("Martin", 'Vardanyan', 23, 'Male', "RAU", "Economic", "MArketing", 5, 700, 'rub', 1000, 'usd')
def test_set_currency(name, surname, age, gender, university, faculty, discipline, experience, amount, currency, set_currency):
m = Money(amount, currency)
obj = Teacher(name, surname, age, gender, university, faculty, discipline, experience, m)
obj.set_currency(set_currency)
print(obj)
def test_get_university(name, surname, age, gender, university, faculty, discipline, experience, amount, currency):
m = Money(amount, currency)
obj = Teacher(name, surname, age, gender, university, faculty, discipline, experience, m)
print(obj.get_university())
def test_get_faculty(name, surname, age, gender, university, faculty, discipline, experience, amount, currency):
m = Money(amount, currency)
obj = Teacher(name, surname, age, gender, university, faculty, discipline, experience, m)
print(obj.get_faculty())
def test_get_experience(name, surname, age, gender, university, faculty, discipline, experience, amount, currency):
m = Money(amount, currency)
obj = Teacher(name, surname, age, gender, university, faculty, discipline, experience, m)
print(obj.get_experience())
def test_get_discipline(name, surname, age, gender, university, faculty, discipline, experience, amount, currency):
m = Money(amount, currency)
obj = Teacher(name, surname, age, gender, university, faculty, discipline, experience, m)
print(obj.get_discipline())
def test_get_salary(name, surname, age, gender, university, faculty, discipline, experience, amount, currency):
m = Money(amount, currency)
obj = Teacher(name, surname, age, gender, university, faculty, discipline, experience, m)
print(obj.get_salary())
def test_get_currency(name, surname, age, gender, university, faculty, discipline, experience, amount, currency):
m = Money(amount, currency)
obj = Teacher(name, surname, age, gender, university, faculty, discipline, experience, m)
print(obj.get_currency())
| 44.681319 | 131 | 0.732169 | 500 | 4,066 | 5.842 | 0.08 | 0.097912 | 0.124615 | 0.178021 | 0.845943 | 0.821294 | 0.821294 | 0.821294 | 0.821294 | 0.818898 | 0 | 0.006364 | 0.149779 | 4,066 | 90 | 132 | 45.177778 | 0.838588 | 0.052632 | 0 | 0.540984 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.213115 | false | 0 | 0.032787 | 0 | 0.245902 | 0.213115 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
9c72b2f8ab153835740a30c07024dee8236c0010 | 3,862 | py | Python | decoders.py | MB-29/optimal-textures | 03a6bd93f7f2f99e1b07eb12a58d7467da02dad5 | [
"MIT"
] | 18 | 2021-02-04T13:16:38.000Z | 2022-02-23T22:42:05.000Z | decoders.py | MB-29/optimal-textures | 03a6bd93f7f2f99e1b07eb12a58d7467da02dad5 | [
"MIT"
] | 3 | 2021-02-24T03:19:32.000Z | 2022-02-25T12:03:43.000Z | decoders.py | MB-29/optimal-textures | 03a6bd93f7f2f99e1b07eb12a58d7467da02dad5 | [
"MIT"
] | 3 | 2021-02-05T17:18:51.000Z | 2021-11-18T13:35:34.000Z |
import torch
import torch.nn as nn
"""Decoder models. Layer-specific, editable information is stored
in the dictionary observed_layers at the bottom of the file.
"""
feature_invertor_conv1_1 = nn.Sequential( # Sequential,
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(64, 3, (3, 3)),
)
feature_invertor_conv2_1 = nn.Sequential( # Sequential,
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(128, 64, (3, 3)),
nn.ReLU(),
nn.UpsamplingNearest2d(scale_factor=2),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(64, 64, (3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(64, 3, (3, 3)),
)
feature_invertor_conv3_1 = nn.Sequential( # Sequential,
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(256, 128, (3, 3)),
nn.ReLU(),
nn.UpsamplingNearest2d(scale_factor=2),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(128, 128, (3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(128, 64, (3, 3)),
nn.ReLU(),
nn.UpsamplingNearest2d(scale_factor=2),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(64, 64, (3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(64, 3, (3, 3)),
)
feature_invertor_conv4_1 = nn.Sequential( # Sequential,
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(512, 256, (3, 3)),
nn.ReLU(),
nn.UpsamplingNearest2d(scale_factor=2),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(256, 256, (3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(256, 256, (3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(256, 256, (3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(256, 128, (3, 3)),
nn.ReLU(),
nn.UpsamplingNearest2d(scale_factor=2),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(128, 128, (3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(128, 64, (3, 3)),
nn.ReLU(),
nn.UpsamplingNearest2d(scale_factor=2),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(64, 64, (3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(64, 3, (3, 3)),
)
feature_invertor_conv5_1 = nn.Sequential( # Sequential,
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(512,512,(3, 3)),
nn.ReLU(),
nn.UpsamplingNearest2d(scale_factor=2),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(512,512,(3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(512,512,(3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(512,512,(3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(512,256,(3, 3)),
nn.ReLU(),
nn.UpsamplingNearest2d(scale_factor=2),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(256,256,(3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(256,256,(3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(256,256,(3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(256,128,(3, 3)),
nn.ReLU(),
nn.UpsamplingNearest2d(scale_factor=2),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(128,128,(3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(128,64,(3, 3)),
nn.ReLU(),
nn.UpsamplingNearest2d(scale_factor=2),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(64,64,(3, 3)),
nn.ReLU(),
nn.ReflectionPad2d((1, 1, 1, 1)),
nn.Conv2d(64,3,(3, 3)),
)
observed_layers = {
'Relu5_1': {
'index': 29,
'decoder': feature_invertor_conv5_1,
'n_slices': 10,
'n_epochs': 500
},
'Relu4_1': {
'index': 20,
'decoder': feature_invertor_conv4_1,
'n_slices': 10,
'n_epochs': 500
},
'Relu3_1': {
'index': 11,
'decoder': feature_invertor_conv3_1,
'n_slices': 10,
'n_epochs': 500
},
'Relu2_1': {
'index': 6,
'decoder': feature_invertor_conv2_1,
'n_slices': 10,
'n_epochs': 500
},
'Relu1_1': {
'index': 1,
'decoder': feature_invertor_conv1_1,
'n_slices': 10,
'n_epochs': 500
}
}
| 24.916129 | 65 | 0.600725 | 612 | 3,862 | 3.697712 | 0.093137 | 0.082192 | 0.082192 | 0.260274 | 0.831198 | 0.831198 | 0.831198 | 0.787008 | 0.787008 | 0.787008 | 0 | 0.154088 | 0.176592 | 3,862 | 154 | 66 | 25.077922 | 0.557547 | 0.015277 | 0 | 0.760563 | 0 | 0 | 0.047736 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.014085 | 0 | 0.014085 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
92c29c0626a904a941b3ea11007c71fdb9129425 | 452 | py | Python | packages/cardpay-reward-api/cardpay_reward_api/config.py | ef4/cardstack | 80e3866b2551102d295ab4d66824d2a84d5cc704 | [
"MIT"
] | null | null | null | packages/cardpay-reward-api/cardpay_reward_api/config.py | ef4/cardstack | 80e3866b2551102d295ab4d66824d2a84d5cc704 | [
"MIT"
] | null | null | null | packages/cardpay-reward-api/cardpay_reward_api/config.py | ef4/cardstack | 80e3866b2551102d295ab4d66824d2a84d5cc704 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
config = {
"staging": {
"archived_reward_programs": [
"0x0A4c62c8616342Fc3C5390c4e55aD26DeE694b0F",
"0x64D65d17B26312c0a2532E3cfB0a681A92eEf89d",
"0x73F92405b438D85ee46539a8FaDbBCa04C155F81",
"0x954A9C27bC398B4A8f6F543b13eea833d0e73308",
"0xd40c4b61D0B08548Dd1E2b79c1E8Ad98f15c65d8",
]
},
"production": {"archived_reward_programs": []},
}
| 28.25 | 57 | 0.65708 | 18 | 452 | 16.277778 | 0.833333 | 0.095563 | 0.150171 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.383041 | 0.243363 | 452 | 15 | 58 | 30.133333 | 0.473684 | 0.04646 | 0 | 0 | 0 | 0 | 0.639535 | 0.6 | 0 | 0 | 0.488372 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
92c934417c57083764ce7ff8e59896093a0f6065 | 39,191 | py | Python | tests/test_remote_metadata.py | pmav99/OWSLib | 414375413c9e2bab33a2d09608ab209875ce6daf | [
"BSD-3-Clause"
] | 218 | 2015-01-09T12:55:09.000Z | 2022-03-29T12:22:54.000Z | tests/test_remote_metadata.py | pmav99/OWSLib | 414375413c9e2bab33a2d09608ab209875ce6daf | [
"BSD-3-Clause"
] | 512 | 2015-01-01T09:52:58.000Z | 2022-03-30T11:57:07.000Z | tests/test_remote_metadata.py | pmav99/OWSLib | 414375413c9e2bab33a2d09608ab209875ce6daf | [
"BSD-3-Clause"
] | 218 | 2015-01-01T09:44:06.000Z | 2022-03-31T14:09:13.000Z | import pytest
import owslib
from owslib.etree import etree
from owslib.wfs import WebFeatureService
from owslib.wms import WebMapService
from tests.utils import service_ok
WMS_SERVICE_URL = 'https://www.dov.vlaanderen.be/geoserver/gw_meetnetten/' \
'wms?request=GetCapabilities'
WFS_SERVICE_URL = 'https://www.dov.vlaanderen.be/geoserver/gw_meetnetten/' \
'wfs?request=GetCapabilities'
@pytest.fixture
def mp_wfs_100_nometadata(monkeypatch):
"""Monkeypatch the call to the remote GetCapabilities request of WFS
version 1.0.0, not containing MetadataURLs.
Parameters
----------
monkeypatch : pytest.fixture
PyTest monkeypatch fixture.
"""
def read(*args, **kwargs):
with open('tests/resources/wfs_dov_getcapabilities_100_nometadata.xml',
'r') as f:
data = f.read()
if type(data) is not bytes:
data = data.encode('utf-8')
data = etree.fromstring(data)
return data
monkeypatch.setattr(
owslib.feature.common.WFSCapabilitiesReader, 'read', read)
@pytest.fixture
def mp_wfs_110(monkeypatch):
"""Monkeypatch the call to the remote GetCapabilities request of WFS
version 1.1.0.
Parameters
----------
monkeypatch : pytest.fixture
PyTest monkeypatch fixture.
"""
def read(*args, **kwargs):
with open('tests/resources/wfs_dov_getcapabilities_110.xml', 'r') as f:
data = f.read()
if type(data) is not bytes:
data = data.encode('utf-8')
data = etree.fromstring(data)
return data
monkeypatch.setattr(
owslib.feature.common.WFSCapabilitiesReader, 'read', read)
@pytest.fixture
def mp_wfs_110_nometadata(monkeypatch):
"""Monkeypatch the call to the remote GetCapabilities request of WFS
version 1.1.0, not containing MetadataURLs.
Parameters
----------
monkeypatch : pytest.fixture
PyTest monkeypatch fixture.
"""
def read(*args, **kwargs):
with open('tests/resources/wfs_dov_getcapabilities_110_nometadata.xml',
'r') as f:
data = f.read()
if type(data) is not bytes:
data = data.encode('utf-8')
data = etree.fromstring(data)
return data
monkeypatch.setattr(
owslib.feature.common.WFSCapabilitiesReader, 'read', read)
@pytest.fixture
def mp_wfs_200(monkeypatch):
"""Monkeypatch the call to the remote GetCapabilities request of WFS
version 2.0.0.
Parameters
----------
monkeypatch : pytest.fixture
PyTest monkeypatch fixture.
"""
def read(*args, **kwargs):
with open('tests/resources/wfs_dov_getcapabilities_200.xml',
'r') as f:
data = f.read()
if type(data) is not bytes:
data = data.encode('utf-8')
data = etree.fromstring(data)
return data
monkeypatch.setattr(
owslib.feature.common.WFSCapabilitiesReader, 'read', read)
@pytest.fixture
def mp_wfs_200_nometadata(monkeypatch):
"""Monkeypatch the call to the remote GetCapabilities request of WFS
version 2.0.0, not containing MetadataURLs.
Parameters
----------
monkeypatch : pytest.fixture
PyTest monkeypatch fixture.
"""
def read(*args, **kwargs):
with open('tests/resources/wfs_dov_getcapabilities_200_nometadata.xml',
'r') as f:
data = f.read()
if type(data) is not bytes:
data = data.encode('utf-8')
data = etree.fromstring(data)
return data
monkeypatch.setattr(
owslib.feature.common.WFSCapabilitiesReader, 'read', read)
@pytest.fixture
def mp_wms_111_nometadata(monkeypatch):
"""Monkeypatch the call to the remote GetCapabilities request of WMS
version 1.1.1, not containing MetadataURLs.
Parameters
----------
monkeypatch : pytest.fixture
PyTest monkeypatch fixture.
"""
def read(*args, **kwargs):
with open('tests/resources/wms_dov_getcapabilities_111_nometadata.xml',
'r') as f:
data = f.read()
if type(data) is not bytes:
data = data.encode('utf-8')
data = etree.fromstring(data)
return data
monkeypatch.setattr(
owslib.map.common.WMSCapabilitiesReader, 'read', read)
@pytest.fixture
def mp_wms_130(monkeypatch):
"""Monkeypatch the call to the remote GetCapabilities request of WMS
version 1.3.0.
Parameters
----------
monkeypatch : pytest.fixture
PyTest monkeypatch fixture.
"""
def read(*args, **kwargs):
with open('tests/resources/wms_dov_getcapabilities_130.xml', 'r') as f:
data = f.read()
if type(data) is not bytes:
data = data.encode('utf-8')
data = etree.fromstring(data)
return data
monkeypatch.setattr(
owslib.map.common.WMSCapabilitiesReader, 'read', read)
@pytest.fixture
def mp_wms_130_nometadata(monkeypatch):
"""Monkeypatch the call to the remote GetCapabilities request of WMS
version 1.3.0, not containing MetadataURLs.
Parameters
----------
monkeypatch : pytest.fixture
PyTest monkeypatch fixture.
"""
def read(*args, **kwargs):
with open('tests/resources/wms_dov_getcapabilities_130_nometadata'
'.xml', 'r') as f:
data = f.read()
if type(data) is not bytes:
data = data.encode('utf-8')
data = etree.fromstring(data)
return data
monkeypatch.setattr(
owslib.map.common.WMSCapabilitiesReader, 'read', read)
@pytest.fixture
def mp_remote_md(monkeypatch):
def openURL(*args, **kwargs):
with open('tests/resources/csw_dov_getrecordbyid.xml', 'r') as f:
data = f.read()
if type(data) is not bytes:
data = data.encode('utf-8')
data = etree.fromstring(data)
return data
monkeypatch.setattr(owslib.util, 'openURL', openURL)
class TestOffline(object):
def test_wfs_100_noremotemd_parse_all(self, mp_wfs_100_nometadata):
"""Test the remote metadata parsing for WFS 1.0.0.
Tests parsing the remote metadata for all layers.
Test whether the method is available and returns no remote metadata
if no MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wfs_100_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='1.0.0',
parse_remote_metadata=True)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wfs_100_noremotemd_parse_single(self, mp_wfs_100_nometadata):
"""Test the remote metadata parsing for WFS 1.0.0.
Tests parsing the remote metadata for a single layer.
Test whether the method is available and returns no remote metadata
if no MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wfs_100_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='1.0.0',
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
layer.parse_remote_metadata()
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wfs_100_noremotemd_parse_none(self, mp_wfs_100_nometadata):
"""Test the remote metadata parsing for WFS 1.0.0.
Tests the case when no remote metadata is parsed.
Test whether no remote metadata is returned.
Parameters
----------
mp_wfs_100_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='1.0.0',
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wfs_110_noremotemd_parse_all(self, mp_wfs_110_nometadata):
"""Test the remote metadata parsing for WFS 1.1.0.
Tests parsing the remote metadata for all layers.
Test whether the method is available and returns no remote metadata
if no MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wfs_110_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='1.1.0',
parse_remote_metadata=True)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wfs_110_noremotemd_parse_single(self, mp_wfs_110_nometadata):
"""Test the remote metadata parsing for WFS 1.1.0.
Tests parsing the remote metadata for a single layer.
Test whether the method is available and returns no remote metadata
if no MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wfs_110_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='1.1.0',
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
layer.parse_remote_metadata()
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wfs_110_noremotemd_parse_none(self, mp_wfs_110_nometadata):
"""Test the remote metadata parsing for WFS 1.1.0.
Tests the case when no remote metadata is parsed.
Test whether no remote metadata is returned.
Parameters
----------
mp_wfs_110_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='1.1.0',
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wfs_110_remotemd_parse_all(self, mp_wfs_110, mp_remote_md):
"""Test the remote metadata parsing for WFS 1.1.0.
Tests parsing the remote metadata for all layers.
Test whether the method is available and returns remote metadata
if MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wfs_110 : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
mp_remote_md : pytest.fixture
Monkeypatch the call to the remote metadata.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='1.1.0',
parse_remote_metadata=True)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 1
for m in mdrecords:
assert type(m) is owslib.iso.MD_Metadata
def test_wfs_110_remotemd_parse_single(self, mp_wfs_110, mp_remote_md):
"""Test the remote metadata parsing for WFS 1.1.0.
Tests parsing the remote metadata for a single layer.
Test whether the method is available and returns remote metadata
if MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wfs_110 : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
mp_remote_md : pytest.fixture
Monkeypatch the call to the remote metadata.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='1.1.0',
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
layer.parse_remote_metadata()
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 1
for m in mdrecords:
assert type(m) is owslib.iso.MD_Metadata
def test_wfs_110_remotemd_parse_none(self, mp_wfs_110):
"""Test the remote metadata parsing for WFS 1.1.0.
Tests the case when no remote metadata is parsed.
Test whether no remote metadata is returned.
Parameters
----------
mp_wfs_110 : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='1.1.0',
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wfs_200_noremotemd_parse_all(self, mp_wfs_200_nometadata):
"""Test the remote metadata parsing for WFS 2.0.0.
Tests parsing the remote metadata for all layers.
Test whether the method is available and returns no remote metadata
if no MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wfs_200_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='2.0.0',
parse_remote_metadata=True)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wfs_200_noremotemd_parse_single(self, mp_wfs_200_nometadata):
"""Test the remote metadata parsing for WFS 2.0.0.
Tests parsing the remote metadata for a single layer.
Test whether the method is available and returns no remote metadata
if no MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wfs_200_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='2.0.0',
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
layer.parse_remote_metadata()
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wfs_200_noremotemd_parse_none(self, mp_wfs_200_nometadata):
"""Test the remote metadata parsing for WFS 2.0.0.
Tests the case when no remote metadata is parsed.
Test whether no remote metadata is returned.
Parameters
----------
mp_wfs_200_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='2.0.0',
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wfs_200_remotemd_parse_all(self, mp_wfs_200, mp_remote_md):
"""Test the remote metadata parsing for WFS 2.0.0.
Tests parsing the remote metadata for all layers.
Test whether the method is available and returns remote metadata
if MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wfs_200 : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
mp_remote_md : pytest.fixture
Monkeypatch the call to the remote metadata.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='2.0.0',
parse_remote_metadata=True)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 1
for m in mdrecords:
assert type(m) is owslib.iso.MD_Metadata
def test_wfs_200_remotemd_parse_single(self, mp_wfs_200, mp_remote_md):
"""Test the remote metadata parsing for WFS 2.0.0.
Tests parsing the remote metadata for a single layer.
Test whether the method is available and returns remote metadata
if MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wfs_200 : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
mp_remote_md : pytest.fixture
Monkeypatch the call to the remote metadata.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='2.0.0',
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
layer.parse_remote_metadata()
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 1
for m in mdrecords:
assert type(m) is owslib.iso.MD_Metadata
def test_wfs_200_remotemd_parse_none(self, mp_wfs_200):
"""Test the remote metadata parsing for WFS 2.0.0.
Tests the case when no remote metadata is parsed.
Test whether no remote metadata is returned.
Parameters
----------
mp_wfs_200 : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wfs = WebFeatureService(url='http://localhost/not_applicable',
version='2.0.0',
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wms_111_noremotemd_parse_all(self, mp_wms_111_nometadata):
"""Test the remote metadata parsing for WMS 1.1.1.
Tests parsing the remote metadata for all layers.
Test whether the method is available and returns no remote metadata
if no MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wms_111_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wms = WebMapService(url='http://localhost/not_applicable',
version='1.1.1',
parse_remote_metadata=True)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wms_111_noremotemd_parse_single(self, mp_wms_111_nometadata):
"""Test the remote metadata parsing for WMS 1.1.1.
Tests parsing the remote metadata for a single layer.
Test whether the method is available and returns no remote metadata
if no MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wms_111_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wms = WebMapService(url='http://localhost/not_applicable',
version='1.1.1',
parse_remote_metadata=False)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
layer.parse_remote_metadata()
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wms_111_noremotemd_parse_none(self, mp_wms_111_nometadata):
"""Test the remote metadata parsing for WMS 1.1.1.
Tests the case when no remote metadata is parsed.
Test whether no remote metadata is returned.
Parameters
----------
mp_wms_111_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wms = WebMapService(url='http://localhost/not_applicable',
version='1.1.1',
parse_remote_metadata=False)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wms_130_remotemd_parse_all(self, mp_wms_130):
"""Test the remote metadata parsing for WMS 1.3.0.
Tests parsing the remote metadata for all layers.
Test whether the method is available and returns remote metadata
if MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wms_130 : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wms = WebMapService(url='http://localhost/not_applicable',
version='1.3.0',
parse_remote_metadata=True)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 1
for m in mdrecords:
assert type(m) is owslib.iso.MD_Metadata
def test_wms_130_remotemd_parse_single(self, mp_wms_130):
"""Test the remote metadata parsing for WMS 1.3.0.
Tests parsing the remote metadata for a single layer.
Test whether the method is available and returns remote metadata
if MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wms_130 : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wms = WebMapService(url='http://localhost/not_applicable',
version='1.3.0',
parse_remote_metadata=False)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
layer.parse_remote_metadata()
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 1
for m in mdrecords:
assert type(m) is owslib.iso.MD_Metadata
def test_wms_130_remotemd_parse_none(self, mp_wms_130):
"""Test the remote metadata parsing for WMS 1.3.0.
Tests the case when no remote metadata is parsed.
Test whether no remote metadata is returned.
Parameters
----------
mp_wms_130 : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wms = WebMapService(url='http://localhost/not_applicable',
version='1.3.0',
parse_remote_metadata=False)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wms_130_noremotemd_parse_all(self, mp_wms_130_nometadata):
"""Test the remote metadata parsing for WMS 1.3.0.
Tests parsing the remote metadata for all layers.
Test whether the method is available and returns no remote metadata
if no MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wms_130_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wms = WebMapService(url='http://localhost/not_applicable',
version='1.3.0',
parse_remote_metadata=True)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wms_130_noremotemd_parse_single(self, mp_wms_130_nometadata):
"""Test the remote metadata parsing for WMS 1.3.0.
Tests parsing the remote metadata for a single layer.
Test whether the method is available and returns no remote metadata
if no MetadataURLs are available in the GetCapabilities.
Parameters
----------
mp_wms_130_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wms = WebMapService(url='http://localhost/not_applicable',
version='1.3.0',
parse_remote_metadata=False)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
layer.parse_remote_metadata()
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
def test_wms_130_noremotemd_parse_none(self, mp_wms_130_nometadata):
"""Test the remote metadata parsing for WMS 1.3.0.
Tests the case when no remote metadata is parsed.
Test whether no remote metadata is returned.
Parameters
----------
mp_wms_130_nometadata : pytest.fixture
Monkeypatch the call to the remote GetCapabilities request.
"""
wms = WebMapService(url='http://localhost/not_applicable',
version='1.3.0',
parse_remote_metadata=False)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
class TestOnline(object):
@pytest.mark.xfail
@pytest.mark.online
@pytest.mark.skipif(not service_ok(WFS_SERVICE_URL),
reason="WFS service is unreachable")
@pytest.mark.parametrize("wfs_version", ["1.1.0", "2.0.0"])
def test_wfs_remotemd_parse_single(self, wfs_version):
"""Test the remote metadata parsing for WFS.
Tests parsing the remote metadata for a single layer.
Test whether the method is available and returns remote metadata.
"""
wfs = WebFeatureService(url=WFS_SERVICE_URL,
version=wfs_version,
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
layer.parse_remote_metadata()
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) > 0
for m in mdrecords:
assert type(m) is owslib.iso.MD_Metadata
@pytest.mark.xfail
@pytest.mark.online
@pytest.mark.skipif(not service_ok(WFS_SERVICE_URL),
reason="WFS service is unreachable")
@pytest.mark.parametrize("wfs_version", ["1.1.0", "2.0.0"])
def test_wfs_remotemd_parse_all(self, wfs_version):
"""Test the remote metadata parsing for WFS.
Tests parsing the remote metadata for all layers.
Test whether the method is available and returns remote metadata.
"""
wfs = WebFeatureService(url=WFS_SERVICE_URL,
version=wfs_version,
parse_remote_metadata=True)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) > 0
for m in mdrecords:
assert type(m) is owslib.iso.MD_Metadata
@pytest.mark.xfail
@pytest.mark.online
@pytest.mark.skipif(not service_ok(WFS_SERVICE_URL),
reason="WFS service is unreachable")
@pytest.mark.parametrize("wfs_version", ["1.1.0", "2.0.0"])
def test_wfs_remotemd_parse_none(self, wfs_version):
"""Test the remote metadata parsing for WFS.
Tests the case when no remote metadata is parsed.
Test whether no remote metadata is returned.
"""
wfs = WebFeatureService(url=WFS_SERVICE_URL,
version=wfs_version,
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
@pytest.mark.xfail
@pytest.mark.online
@pytest.mark.skipif(not service_ok(WFS_SERVICE_URL),
reason="WFS service is unreachable")
@pytest.mark.parametrize("wfs_version", ["1.0.0"])
def test_wfs_noremotemd_parse_single(self, wfs_version):
"""Test the remote metadata parsing for WFS.
Tests parsing the remote metadata for a single layer.
Test whether the method is available and returns no remote metadata
if no MetadataURLs are available in the GetCapabilities.
"""
wfs = WebFeatureService(url=WFS_SERVICE_URL,
version=wfs_version,
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
layer.parse_remote_metadata()
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
@pytest.mark.xfail
@pytest.mark.online
@pytest.mark.skipif(not service_ok(WFS_SERVICE_URL),
reason="WFS service is unreachable")
@pytest.mark.parametrize("wfs_version", ["1.0.0"])
def test_wfs_noremotemd_parse_all(self, wfs_version):
"""Test the remote metadata parsing for WFS.
Tests parsing the remote metadata for all layers.
Test whether the method is available and returns no remote
metadata if no MetadataURLs are available in the GetCapabilities.
"""
wfs = WebFeatureService(url=WFS_SERVICE_URL,
version=wfs_version,
parse_remote_metadata=True)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
@pytest.mark.xfail
@pytest.mark.online
@pytest.mark.skipif(not service_ok(WFS_SERVICE_URL),
reason="WFS service is unreachable")
@pytest.mark.parametrize("wfs_version", ["1.0.0"])
def test_wfs_noremotemd_parse_none(self, wfs_version):
"""Test the remote metadata parsing for WFS.
Tests the case when no remote metadata is parsed.
Test whether no remote metadata is returned.
"""
wfs = WebFeatureService(url=WFS_SERVICE_URL,
version=wfs_version,
parse_remote_metadata=False)
assert 'gw_meetnetten:meetnetten' in wfs.contents
layer = wfs.contents['gw_meetnetten:meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
@pytest.mark.xfail
@pytest.mark.online
@pytest.mark.skipif(not service_ok(WMS_SERVICE_URL),
reason="WMS service is unreachable")
@pytest.mark.parametrize("wms_version", ["1.3.0"])
def test_wms_remotemd_parse_single(self, wms_version):
"""Test the remote metadata parsing for WMS.
Tests parsing the remote metadata for a single layer.
Test whether the method is available and returns remote metadata.
"""
wms = WebMapService(url=WMS_SERVICE_URL,
version=wms_version,
parse_remote_metadata=False)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
layer.parse_remote_metadata()
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) > 0
for m in mdrecords:
assert type(m) is owslib.iso.MD_Metadata
@pytest.mark.xfail
@pytest.mark.online
@pytest.mark.skipif(not service_ok(WMS_SERVICE_URL),
reason="WMS service is unreachable")
@pytest.mark.parametrize("wms_version", ["1.3.0"])
def test_wms_remotemd_parse_all(self, wms_version):
"""Test the remote metadata parsing for WMS.
Tests parsing the remote metadata for all layers.
Test whether the method is available and returns remote metadata.
"""
wms = WebMapService(url=WMS_SERVICE_URL,
version=wms_version,
parse_remote_metadata=True)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) > 0
for m in mdrecords:
assert type(m) is owslib.iso.MD_Metadata
@pytest.mark.xfail
@pytest.mark.online
@pytest.mark.skipif(not service_ok(WMS_SERVICE_URL),
reason="WMS service is unreachable")
@pytest.mark.parametrize("wms_version", ["1.3.0"])
def test_wms_remotemd_parse_none(self, wms_version):
"""Test the remote metadata parsing for WMS.
Tests the case when no remote metadata is parsed.
Test whether no remote metadata is returned.
"""
wms = WebMapService(url=WMS_SERVICE_URL,
version=wms_version,
parse_remote_metadata=False)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
@pytest.mark.xfail
@pytest.mark.online
@pytest.mark.skipif(not service_ok(WMS_SERVICE_URL),
reason="WMS service is unreachable")
@pytest.mark.parametrize("wms_version", ["1.1.1"])
def test_wms_noremotemd_parse_single(self, wms_version):
"""Test the remote metadata parsing for WMS.
Tests parsing the remote metadata for a single layer.
Test whether the method is available and returns no remote metadata
if no MetadataURLs are available in the GetCapabilities.
"""
wms = WebMapService(url=WMS_SERVICE_URL,
version=wms_version,
parse_remote_metadata=False)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
layer.parse_remote_metadata()
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
@pytest.mark.xfail
@pytest.mark.online
@pytest.mark.skipif(not service_ok(WMS_SERVICE_URL),
reason="WMS service is unreachable")
@pytest.mark.parametrize("wms_version", ["1.1.1"])
def test_wms_noremotemd_parse_all(self, wms_version):
"""Test the remote metadata parsing for WMS.
Tests parsing the remote metadata for all layers.
Test whether the method is available and returns no remote
metadata if no MetadataURLs are available in the GetCapabilities.
"""
wms = WebMapService(url=WMS_SERVICE_URL,
version=wms_version,
parse_remote_metadata=True)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
@pytest.mark.xfail
@pytest.mark.online
@pytest.mark.skipif(not service_ok(WMS_SERVICE_URL),
reason="WMS service is unreachable")
@pytest.mark.parametrize("wms_version", ["1.1.1"])
def test_wms_noremotemd_parse_none(self, wms_version):
"""Test the remote metadata parsing for WMS.
Tests the case when no remote metadata is parsed.
Test whether no remote metadata is returned.
"""
wms = WebMapService(url=WMS_SERVICE_URL,
version=wms_version,
parse_remote_metadata=False)
assert 'meetnetten' in wms.contents
layer = wms.contents['meetnetten']
mdrecords = layer.get_metadata()
assert type(mdrecords) is list
assert len(mdrecords) == 0
| 34.621025 | 79 | 0.620193 | 4,539 | 39,191 | 5.206213 | 0.02842 | 0.094791 | 0.046041 | 0.030468 | 0.986797 | 0.985316 | 0.97571 | 0.975583 | 0.975583 | 0.975583 | 0 | 0.018943 | 0.296854 | 39,191 | 1,131 | 80 | 34.651636 | 0.838589 | 0.294685 | 0 | 0.870301 | 0 | 0 | 0.1352 | 0.06052 | 0 | 0 | 0 | 0 | 0.221805 | 1 | 0.101504 | false | 0 | 0.011278 | 0 | 0.133459 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
130006f2b3ca87efc62620cfa6e56a725b717cad | 1,136 | py | Python | hordak/utilities/statement_import.py | pavel64-sutyrin/django-hordak | 1ffeda5058037595051672911b18bbe4558304a2 | [
"MIT"
] | null | null | null | hordak/utilities/statement_import.py | pavel64-sutyrin/django-hordak | 1ffeda5058037595051672911b18bbe4558304a2 | [
"MIT"
] | null | null | null | hordak/utilities/statement_import.py | pavel64-sutyrin/django-hordak | 1ffeda5058037595051672911b18bbe4558304a2 | [
"MIT"
] | null | null | null |
DATE_FORMATS = (
('%d-%m-%Y', 'dd-mm-yyyy'),
('%d/%m/%Y', 'dd/mm/yyyy'),
('%d.%m.%Y', 'dd.mm.yyyy'),
('%d-%Y-%m', 'dd-yyyy-mm'),
('%d/%Y/%m', 'dd/yyyy/mm'),
('%d.%Y.%m', 'dd.yyyy.mm'),
('%m-%d-%Y', 'mm-dd-yyyy'),
('%m/%d/%Y', 'mm/dd/yyyy'),
('%m.%d.%Y', 'mm.dd.yyyy'),
('%m-%Y-%d', 'mm-yyyy-dd'),
('%m/%Y/%d', 'mm/yyyy/dd'),
('%m.%Y.%d', 'mm.yyyy.dd'),
('%Y-%d-%m', 'yyyy-dd-mm'),
('%Y/%d/%m', 'yyyy/dd/mm'),
('%Y.%d.%m', 'yyyy.dd.mm'),
('%Y-%m-%d', 'yyyy-mm-dd'),
('%Y/%m/%d', 'yyyy/mm/dd'),
('%Y.%m.%d', 'yyyy.mm.dd'),
('%d-%m-%y', 'dd-mm-yy'),
('%d/%m/%y', 'dd/mm/yy'),
('%d.%m.%y', 'dd.mm.yy'),
('%d-%y-%m', 'dd-yy-mm'),
('%d/%y/%m', 'dd/yy/mm'),
('%d.%y.%m', 'dd.yy.mm'),
('%m-%d-%y', 'mm-dd-yy'),
('%m/%d/%y', 'mm/dd/yy'),
('%m.%d.%y', 'mm.dd.yy'),
('%m-%y-%d', 'mm-yy-dd'),
('%m/%y/%d', 'mm/yy/dd'),
('%m.%y.%d', 'mm.yy.dd'),
('%y-%d-%m', 'yy-dd-mm'),
('%y/%d/%m', 'yy/dd/mm'),
('%y.%d.%m', 'yy.dd.mm'),
('%y-%m-%d', 'yy-mm-dd'),
('%y/%m/%d', 'yy/mm/dd'),
('%y.%m.%d', 'yy.mm.dd'),
)
| 28.4 | 31 | 0.327465 | 218 | 1,136 | 1.701835 | 0.041284 | 0.06469 | 0.048518 | 0.080863 | 0.97035 | 0.97035 | 0.97035 | 0.97035 | 0.97035 | 0.97035 | 0 | 0 | 0.194542 | 1,136 | 39 | 32 | 29.128205 | 0.405464 | 0 | 0 | 0 | 0 | 0 | 0.539207 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
13105403a0420e3bf186fa7ff35544e42919177c | 32,448 | py | Python | watertap/unit_models/tests/test_electrodialysis_1D.py | kurbansitterley/watertap | 1a8986a779bdcb36f1481f03eed24c6c42d26481 | [
"BSD-3-Clause-LBNL"
] | null | null | null | watertap/unit_models/tests/test_electrodialysis_1D.py | kurbansitterley/watertap | 1a8986a779bdcb36f1481f03eed24c6c42d26481 | [
"BSD-3-Clause-LBNL"
] | null | null | null | watertap/unit_models/tests/test_electrodialysis_1D.py | kurbansitterley/watertap | 1a8986a779bdcb36f1481f03eed24c6c42d26481 | [
"BSD-3-Clause-LBNL"
] | null | null | null | ###############################################################################
# WaterTAP Copyright (c) 2021, The Regents of the University of California,
# through Lawrence Berkeley National Laboratory, Oak Ridge National
# Laboratory, National Renewable Energy Laboratory, and National Energy
# Technology Laboratory (subject to receipt of any required approvals from
# the U.S. Dept. of Energy). All rights reserved.
#
# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license
# information, respectively. These files are also available online at the URL
# "https://github.com/watertap-org/watertap/"
#
###############################################################################
import pytest
from watertap.property_models.ion_DSPMDE_prop_pack import DSPMDEParameterBlock
from watertap.unit_models.electrodialysis_1D import Electrodialysis1D
from watertap.costing import WaterTAPCosting
from pyomo.environ import (
ConcreteModel,
assert_optimal_termination,
value,
Set,
Param,
Var,
units as pyunits,
Suffix,
Constraint,
SolverFactory,
SolverStatus,
TerminationCondition,
)
from idaes.core import (
FlowsheetBlock,
MaterialFlowBasis,
MaterialBalanceType,
MomentumBalanceType,
EnergyBalanceType,
)
from idaes.generic_models.costing import UnitModelCostingBlock
from idaes.core.util.exceptions import ConfigurationError
from idaes.core.util.model_statistics import degrees_of_freedom
from pyomo.util.check_units import assert_units_consistent
import idaes.core.util.scaling as iscale
from idaes.core.util.testing import initialization_tester
from idaes.core.util import get_solver
import re
__author__ = "Xiangyu Bi"
solver = get_solver()
# -----------------------------------------------------------------------------
# Start test class
class TestElectrodialysisVoltageConst:
@pytest.fixture(scope="class")
def electrodialysis_1d_cell1(self):
m = ConcreteModel()
m.fs = FlowsheetBlock(default={"dynamic": False})
ion_dict = {
"solute_list": ["Na_+", "Cl_-"],
"mw_data": {"H2O": 18e-3, "Na_+": 23e-3, "Cl_-": 35.5e-3},
"electrical_mobility_data": {"Na_+": 5.19e-8, "Cl_-": 7.92e-8},
"charge": {"Na_+": 1, "Cl_-": -1},
}
m.fs.properties = DSPMDEParameterBlock(default=ion_dict)
m.fs.unit = Electrodialysis1D(
default={
"property_package": m.fs.properties,
"operation_mode": "Constant_Voltage",
"finite_elements": 20,
}
)
return m
@pytest.mark.unit
def test_build_model(self, electrodialysis_1d_cell1):
m = electrodialysis_1d_cell1
# test configrations
assert len(m.fs.unit.config) == 13
assert not m.fs.unit.config.dynamic
assert not m.fs.unit.config.has_holdup
assert m.fs.unit.config.operation_mode == "Constant_Voltage"
assert m.fs.unit.config.material_balance_type == MaterialBalanceType.useDefault
assert (
m.fs.unit.config.momentum_balance_type == MomentumBalanceType.pressureTotal
)
assert m.fs.unit.config.property_package is m.fs.properties
assert "H2O" in m.fs.properties.component_list
# test all essential params and vars are built
assert isinstance(m.fs.unit.membrane_set, Set)
assert isinstance(m.fs.unit.cell_pair_num, Var)
assert isinstance(m.fs.unit.cell_width, Var)
assert isinstance(m.fs.unit.cell_length, Var)
assert isinstance(m.fs.unit.spacer_thickness, Var)
assert isinstance(m.fs.unit.membrane_thickness, Var)
assert isinstance(m.fs.unit.solute_diffusivity_membrane, Var)
assert isinstance(m.fs.unit.ion_trans_number_membrane, Var)
assert isinstance(m.fs.unit.water_trans_number_membrane, Var)
assert isinstance(m.fs.unit.water_permeability_membrane, Var)
assert isinstance(m.fs.unit.membrane_areal_resistance, Var)
assert isinstance(m.fs.unit.current_applied, Var)
assert isinstance(m.fs.unit.current_density_x, Var)
assert isinstance(m.fs.unit.voltage_applied, Var)
assert isinstance(m.fs.unit.voltage_x, Var)
assert isinstance(m.fs.unit.current_utilization, Var)
assert isinstance(m.fs.unit.diluate.power_electrical_x, Var)
assert isinstance(m.fs.unit.specific_power_electrical, Var)
assert isinstance(m.fs.unit.current_efficiency_x, Var)
assert isinstance(m.fs.unit.eq_get_total_areal_resistance_x, Constraint)
assert isinstance(m.fs.unit.eq_get_current_density, Constraint)
assert isinstance(m.fs.unit.eq_get_voltage_x, Constraint)
assert isinstance(m.fs.unit.eq_mass_transfer_term_diluate, Constraint)
assert isinstance(m.fs.unit.eq_mass_transfer_term_concentrate, Constraint)
assert isinstance(m.fs.unit.eq_power_electrical, Constraint)
assert isinstance(m.fs.unit.eq_specific_power_electrical, Constraint)
assert isinstance(m.fs.unit.eq_current_efficiency_x, Constraint)
assert isinstance(m.fs.unit.eq_isothermal_diluate, Constraint)
assert isinstance(m.fs.unit.eq_isothermal_concentrate, Constraint)
@pytest.mark.unit
def test_stats_constant_vol(self, electrodialysis_1d_cell1):
m = electrodialysis_1d_cell1
assert_units_consistent(m)
assert degrees_of_freedom(m) == 33
# Specify a system
# Note: Testing scenarios in this file are primarily in accord with an experimental
# setup reported by Campione et al. in Desalination 465 (2019): 79-93.
# set the operational parameters
m.fs.unit.water_trans_number_membrane["cem"].fix(5.8)
m.fs.unit.water_trans_number_membrane["aem"].fix(4.3)
m.fs.unit.water_permeability_membrane["cem"].fix(2.16e-14)
m.fs.unit.water_permeability_membrane["aem"].fix(1.75e-14)
m.fs.unit.voltage_applied.fix(0.5)
m.fs.unit.electrodes_resistance.fix(0)
m.fs.unit.cell_pair_num.fix(10)
m.fs.unit.current_utilization.fix(1)
m.fs.unit.spacer_thickness.fix(2.7e-4)
m.fs.unit.membrane_areal_resistance["cem"].fix(1.89e-4)
m.fs.unit.membrane_areal_resistance["aem"].fix(1.77e-4)
m.fs.unit.cell_width.fix(0.1)
m.fs.unit.cell_length.fix(0.79)
m.fs.unit.membrane_thickness["aem"].fix(1.3e-4)
m.fs.unit.membrane_thickness["cem"].fix(1.3e-4)
m.fs.unit.solute_diffusivity_membrane["cem", "Na_+"].fix(1.8e-10)
m.fs.unit.solute_diffusivity_membrane["aem", "Na_+"].fix(1.25e-10)
m.fs.unit.solute_diffusivity_membrane["cem", "Cl_-"].fix(1.8e-10)
m.fs.unit.solute_diffusivity_membrane["aem", "Cl_-"].fix(1.25e-10)
m.fs.unit.ion_trans_number_membrane["cem", "Na_+"].fix(1)
m.fs.unit.ion_trans_number_membrane["aem", "Na_+"].fix(0)
m.fs.unit.ion_trans_number_membrane["cem", "Cl_-"].fix(0)
m.fs.unit.ion_trans_number_membrane["aem", "Cl_-"].fix(1)
# check ion transfer number requirements
assert (
sum(
value(m.fs.unit.ion_trans_number_membrane["cem", j])
for j in m.fs.properties.ion_set
)
== 1
)
assert (
sum(
value(m.fs.unit.ion_trans_number_membrane["aem", j])
for j in m.fs.properties.ion_set
)
== 1
)
assert sum(
value(m.fs.unit.ion_trans_number_membrane["cem", j])
for j in m.fs.properties.cation_set
) == sum(
value(m.fs.unit.ion_trans_number_membrane["aem", j])
for j in m.fs.properties.anion_set
)
# set the inlet stream
m.fs.unit.inlet_diluate.pressure.fix(101325)
m.fs.unit.inlet_diluate.temperature.fix(298.15)
m.fs.unit.inlet_diluate.flow_mol_phase_comp[0, "Liq", "H2O"].fix(2.40e-2)
m.fs.unit.inlet_diluate.flow_mol_phase_comp[0, "Liq", "Na_+"].fix(7.38e-5)
m.fs.unit.inlet_diluate.flow_mol_phase_comp[0, "Liq", "Cl_-"].fix(7.38e-5)
m.fs.unit.inlet_concentrate.pressure.fix(101325)
m.fs.unit.inlet_concentrate.temperature.fix(298.15)
m.fs.unit.inlet_concentrate.flow_mol_phase_comp[0, "Liq", "H2O"].fix(2.40e-2)
m.fs.unit.inlet_concentrate.flow_mol_phase_comp[0, "Liq", "Na_+"].fix(7.38e-5)
m.fs.unit.inlet_concentrate.flow_mol_phase_comp[0, "Liq", "Cl_-"].fix(7.38e-5)
assert degrees_of_freedom(m) == 0
@pytest.mark.component
def test_initialization_scaling(self, electrodialysis_1d_cell1):
m = electrodialysis_1d_cell1
# set default scaling for state vars
m.fs.properties.set_default_scaling(
"flow_mol_phase_comp", 1e2, index=("Liq", "H2O")
)
m.fs.properties.set_default_scaling(
"flow_mol_phase_comp", 1e4, index=("Liq", "Na_+")
)
m.fs.properties.set_default_scaling(
"flow_mol_phase_comp", 1e4, index=("Liq", "Cl_-")
)
# set scaling factors for some vars
iscale.set_scaling_factor(m.fs.unit.cell_width, 10)
iscale.set_scaling_factor(m.fs.unit.cell_length, 10)
iscale.calculate_scaling_factors(m.fs)
# Added this unit check scaling
assert_units_consistent(m)
initialization_tester(m)
badly_scaled_var_values = {
var.name: val for (var, val) in iscale.badly_scaled_var_generator(m)
}
assert not badly_scaled_var_values
# check to make sure DOF does not change
assert degrees_of_freedom(m) == 0
@pytest.mark.component
def test_solve(self, electrodialysis_1d_cell1):
m = electrodialysis_1d_cell1
# run solver and check for optimal solution
results = solver.solve(m)
assert_optimal_termination(results)
badly_scaled_var_values = {
var.name: val for (var, val) in iscale.badly_scaled_var_generator(m)
}
assert not badly_scaled_var_values
@pytest.mark.component
def test_solution(self, electrodialysis_1d_cell1):
m = electrodialysis_1d_cell1
assert value(
m.fs.unit.outlet_diluate.flow_mol_phase_comp[0, "Liq", "H2O"]
) == pytest.approx(2.33e-2, rel=5e-3)
assert value(
m.fs.unit.outlet_diluate.flow_mol_phase_comp[0, "Liq", "Na_+"]
) == pytest.approx(3.22e-05, rel=5e-3)
assert value(
m.fs.unit.outlet_diluate.flow_mol_phase_comp[0, "Liq", "Cl_-"]
) == pytest.approx(3.22e-05, rel=5e-3)
assert value(
m.fs.unit.outlet_concentrate.flow_mol_phase_comp[0, "Liq", "H2O"]
) == pytest.approx(2.47e-2, rel=5e-3)
assert value(
m.fs.unit.outlet_concentrate.flow_mol_phase_comp[0, "Liq", "Na_+"]
) == pytest.approx(1.15e-4, rel=5e-3)
assert value(
m.fs.unit.outlet_concentrate.flow_mol_phase_comp[0, "Liq", "Cl_-"]
) == pytest.approx(1.15e-4, rel=5e-3)
@pytest.mark.component
def test_performance_contents(self, electrodialysis_1d_cell1):
m = electrodialysis_1d_cell1
perform_dict = m.fs.unit._get_performance_contents()
assert "vars" in perform_dict
assert value(
perform_dict["vars"]["Total electrical power consumption(Watt)"]
) == pytest.approx(3.0, rel=5e-3)
assert value(
perform_dict["vars"]["Specific electrical power consumption (kW*h/m**3)"]
) == pytest.approx(0.197, rel=5e-3)
@pytest.mark.component
def test_costing(self, electrodialysis_1d_cell1):
m = electrodialysis_1d_cell1
blk = m.fs.unit
m.fs.costing = WaterTAPCosting()
m.fs.unit.costing = UnitModelCostingBlock(
default={
"flowsheet_costing_block": m.fs.costing,
"costing_method_arguments": {"cost_electricity_flow": True},
},
)
m.fs.costing.cost_process()
assert_units_consistent(m)
assert degrees_of_freedom(m) == 0
results = solver.solve(m, tee=True)
assert_optimal_termination(results)
assert pytest.approx(388.6800, rel=1e-3) == value(
m.fs.costing.total_capital_cost
)
assert pytest.approx(45.86804, rel=1e-3) == value(
m.fs.costing.total_operating_cost
)
assert pytest.approx(777.3600, rel=1e-3) == value(
m.fs.costing.total_investment_cost
)
class TestElectrodialysisCurrentConst:
@pytest.fixture(scope="class")
def electrodialysis_1d_cell2(self):
m = ConcreteModel()
m.fs = FlowsheetBlock(default={"dynamic": False})
ion_dict = {
"solute_list": ["Na_+", "Cl_-"],
"mw_data": {"H2O": 18e-3, "Na_+": 23e-3, "Cl_-": 35.5e-3},
"electrical_mobility_data": {"Na_+": 5.19e-8, "Cl_-": 7.92e-8},
"charge": {"Na_+": 1, "Cl_-": -1},
}
m.fs.properties = DSPMDEParameterBlock(default=ion_dict)
m.fs.unit = Electrodialysis1D(
default={
"property_package": m.fs.properties,
"operation_mode": "Constant_Current",
"finite_elements": 20,
}
)
return m
@pytest.mark.unit
def test_build_model(self, electrodialysis_1d_cell2):
m = electrodialysis_1d_cell2
# test configrations
assert len(m.fs.unit.config) == 13
assert not m.fs.unit.config.dynamic
assert not m.fs.unit.config.has_holdup
assert m.fs.unit.config.operation_mode == "Constant_Current"
assert m.fs.unit.config.material_balance_type == MaterialBalanceType.useDefault
assert (
m.fs.unit.config.momentum_balance_type == MomentumBalanceType.pressureTotal
)
assert m.fs.unit.config.property_package is m.fs.properties
assert "H2O" in m.fs.properties.component_list
# test all essential params and vars are built
assert isinstance(m.fs.unit.membrane_set, Set)
assert isinstance(m.fs.unit.cell_pair_num, Var)
assert isinstance(m.fs.unit.cell_width, Var)
assert isinstance(m.fs.unit.cell_length, Var)
assert isinstance(m.fs.unit.spacer_thickness, Var)
assert isinstance(m.fs.unit.membrane_thickness, Var)
assert isinstance(m.fs.unit.solute_diffusivity_membrane, Var)
assert isinstance(m.fs.unit.ion_trans_number_membrane, Var)
assert isinstance(m.fs.unit.water_trans_number_membrane, Var)
assert isinstance(m.fs.unit.water_permeability_membrane, Var)
assert isinstance(m.fs.unit.membrane_areal_resistance, Var)
assert isinstance(m.fs.unit.current_applied, Var)
assert isinstance(m.fs.unit.current_density_x, Var)
assert isinstance(m.fs.unit.voltage_applied, Var)
assert isinstance(m.fs.unit.voltage_x, Var)
assert isinstance(m.fs.unit.current_utilization, Var)
assert isinstance(m.fs.unit.diluate.power_electrical_x, Var)
assert isinstance(m.fs.unit.specific_power_electrical, Var)
assert isinstance(m.fs.unit.current_efficiency_x, Var)
assert isinstance(m.fs.unit.eq_get_total_areal_resistance_x, Constraint)
assert isinstance(m.fs.unit.eq_get_current_density, Constraint)
assert isinstance(m.fs.unit.eq_get_voltage_x, Constraint)
assert isinstance(m.fs.unit.eq_mass_transfer_term_diluate, Constraint)
assert isinstance(m.fs.unit.eq_mass_transfer_term_concentrate, Constraint)
assert isinstance(m.fs.unit.eq_power_electrical, Constraint)
assert isinstance(m.fs.unit.eq_specific_power_electrical, Constraint)
assert isinstance(m.fs.unit.eq_current_efficiency_x, Constraint)
assert isinstance(m.fs.unit.eq_isothermal_diluate, Constraint)
assert isinstance(m.fs.unit.eq_isothermal_concentrate, Constraint)
@pytest.mark.unit
def test_stats_constant_vol(self, electrodialysis_1d_cell2):
m = electrodialysis_1d_cell2
assert_units_consistent(m)
assert degrees_of_freedom(m) == 33
# Specify a system
# set the operational parameters
m.fs.unit.water_trans_number_membrane["cem"].fix(5.8)
m.fs.unit.water_trans_number_membrane["aem"].fix(4.3)
m.fs.unit.water_permeability_membrane["cem"].fix(2.16e-14)
m.fs.unit.water_permeability_membrane["aem"].fix(1.75e-14)
m.fs.unit.current_applied.fix(8)
m.fs.unit.electrodes_resistance.fix(0)
m.fs.unit.cell_pair_num.fix(10)
m.fs.unit.current_utilization.fix(1)
m.fs.unit.spacer_thickness.fix(2.7e-4)
m.fs.unit.membrane_areal_resistance["cem"].fix(1.89e-4)
m.fs.unit.membrane_areal_resistance["aem"].fix(1.77e-4)
m.fs.unit.cell_width.fix(0.1)
m.fs.unit.cell_length.fix(0.79)
m.fs.unit.membrane_thickness["aem"].fix(1.3e-4)
m.fs.unit.membrane_thickness["cem"].fix(1.3e-4)
m.fs.unit.solute_diffusivity_membrane["cem", "Na_+"].fix(1.8e-10)
m.fs.unit.solute_diffusivity_membrane["aem", "Na_+"].fix(1.25e-10)
m.fs.unit.solute_diffusivity_membrane["cem", "Cl_-"].fix(1.8e-10)
m.fs.unit.solute_diffusivity_membrane["aem", "Cl_-"].fix(1.25e-10)
m.fs.unit.ion_trans_number_membrane["cem", "Na_+"].fix(1)
m.fs.unit.ion_trans_number_membrane["aem", "Na_+"].fix(0)
m.fs.unit.ion_trans_number_membrane["cem", "Cl_-"].fix(0)
m.fs.unit.ion_trans_number_membrane["aem", "Cl_-"].fix(1)
# check ion transfer number requirements
assert (
sum(
value(m.fs.unit.ion_trans_number_membrane["cem", j])
for j in m.fs.properties.ion_set
)
== 1
)
assert (
sum(
value(m.fs.unit.ion_trans_number_membrane["aem", j])
for j in m.fs.properties.ion_set
)
== 1
)
assert sum(
value(m.fs.unit.ion_trans_number_membrane["cem", j])
for j in m.fs.properties.cation_set
) == sum(
value(m.fs.unit.ion_trans_number_membrane["aem", j])
for j in m.fs.properties.anion_set
)
# set the inlet stream
m.fs.unit.inlet_diluate.pressure.fix(101325)
m.fs.unit.inlet_diluate.temperature.fix(298.15)
m.fs.unit.inlet_diluate.flow_mol_phase_comp[0, "Liq", "H2O"].fix(2.40e-2)
m.fs.unit.inlet_diluate.flow_mol_phase_comp[0, "Liq", "Na_+"].fix(7.38e-5)
m.fs.unit.inlet_diluate.flow_mol_phase_comp[0, "Liq", "Cl_-"].fix(7.38e-5)
m.fs.unit.inlet_concentrate.pressure.fix(101325)
m.fs.unit.inlet_concentrate.temperature.fix(298.15)
m.fs.unit.inlet_concentrate.flow_mol_phase_comp[0, "Liq", "H2O"].fix(2.40e-2)
m.fs.unit.inlet_concentrate.flow_mol_phase_comp[0, "Liq", "Na_+"].fix(7.38e-5)
m.fs.unit.inlet_concentrate.flow_mol_phase_comp[0, "Liq", "Cl_-"].fix(7.38e-5)
assert degrees_of_freedom(m) == 0
@pytest.mark.component
def test_initialization_scaling(self, electrodialysis_1d_cell2):
m = electrodialysis_1d_cell2
# set default scaling for state vars
m.fs.properties.set_default_scaling(
"flow_mol_phase_comp", 1e2, index=("Liq", "H2O")
)
m.fs.properties.set_default_scaling(
"flow_mol_phase_comp", 1e4, index=("Liq", "Na_+")
)
m.fs.properties.set_default_scaling(
"flow_mol_phase_comp", 1e4, index=("Liq", "Cl_-")
)
# set scaling factors for some vars
iscale.set_scaling_factor(m.fs.unit.cell_width, 10)
iscale.set_scaling_factor(m.fs.unit.cell_length, 10)
iscale.calculate_scaling_factors(m.fs)
initialization_tester(m)
badly_scaled_var_values = {
var.name: val for (var, val) in iscale.badly_scaled_var_generator(m)
}
assert not badly_scaled_var_values
# check to make sure DOF does not change
assert degrees_of_freedom(m) == 0
@pytest.mark.component
def test_solve(self, electrodialysis_1d_cell2):
m = electrodialysis_1d_cell2
# run solver and check for optimal solution
results = solver.solve(m)
assert_optimal_termination(results)
badly_scaled_var_values = {
var.name: val for (var, val) in iscale.badly_scaled_var_generator(m)
}
assert not badly_scaled_var_values
@pytest.mark.component
def test_solution(self, electrodialysis_1d_cell2):
m = electrodialysis_1d_cell2
assert value(
m.fs.unit.outlet_diluate.flow_mol_phase_comp[0, "Liq", "H2O"]
) == pytest.approx(2.30e-2, rel=5e-3)
assert value(
m.fs.unit.outlet_diluate.flow_mol_phase_comp[0, "Liq", "Na_+"]
) == pytest.approx(1.75e-05, rel=5e-3)
assert value(
m.fs.unit.outlet_diluate.flow_mol_phase_comp[0, "Liq", "Cl_-"]
) == pytest.approx(1.75e-05, rel=5e-3)
assert value(
m.fs.unit.outlet_concentrate.flow_mol_phase_comp[0, "Liq", "H2O"]
) == pytest.approx(2.50e-2, rel=5e-3)
assert value(
m.fs.unit.outlet_concentrate.flow_mol_phase_comp[0, "Liq", "Na_+"]
) == pytest.approx(1.30e-4, rel=5e-3)
assert value(
m.fs.unit.outlet_concentrate.flow_mol_phase_comp[0, "Liq", "Cl_-"]
) == pytest.approx(1.30e-4, rel=5e-3)
@pytest.mark.component
def test_performance_contents(self, electrodialysis_1d_cell2):
m = electrodialysis_1d_cell2
perform_dict = m.fs.unit._get_performance_contents()
assert "vars" in perform_dict
assert value(
perform_dict["vars"]["Total electrical power consumption(Watt)"]
) == pytest.approx(5.83, rel=5e-3)
assert value(
perform_dict["vars"]["Specific electrical power consumption (kW*h/m**3)"]
) == pytest.approx(0.390, rel=5e-3)
class TestElectrodialysis_withNeutralSPecies:
@pytest.fixture(scope="class")
def electrodialysis_1d_cell3(self):
m = ConcreteModel()
m.fs = FlowsheetBlock(default={"dynamic": False})
ion_dict = {
"solute_list": ["Na_+", "Cl_-", "N"],
"mw_data": {"H2O": 18e-3, "Na_+": 23e-3, "Cl_-": 35.5e-3, "N": 61.8e-3},
"electrical_mobility_data": {"Na_+": 5.19e-8, "Cl_-": 7.92e-8},
"charge": {"Na_+": 1, "Cl_-": -1},
}
m.fs.properties = DSPMDEParameterBlock(default=ion_dict)
m.fs.unit = Electrodialysis1D(
default={
"property_package": m.fs.properties,
"operation_mode": "Constant_Current",
"finite_elements": 20,
}
)
return m
@pytest.mark.unit
def test_build_model(self, electrodialysis_1d_cell3):
m = electrodialysis_1d_cell3
# test configrations
assert len(m.fs.unit.config) == 13
assert not m.fs.unit.config.dynamic
assert not m.fs.unit.config.has_holdup
assert m.fs.unit.config.operation_mode == "Constant_Current"
assert m.fs.unit.config.material_balance_type == MaterialBalanceType.useDefault
assert (
m.fs.unit.config.momentum_balance_type == MomentumBalanceType.pressureTotal
)
assert m.fs.unit.config.property_package is m.fs.properties
assert "H2O" in m.fs.properties.component_list
# test all essential params and vars are built
assert isinstance(m.fs.unit.membrane_set, Set)
assert isinstance(m.fs.unit.cell_pair_num, Var)
assert isinstance(m.fs.unit.cell_width, Var)
assert isinstance(m.fs.unit.cell_length, Var)
assert isinstance(m.fs.unit.spacer_thickness, Var)
assert isinstance(m.fs.unit.membrane_thickness, Var)
assert isinstance(m.fs.unit.solute_diffusivity_membrane, Var)
assert isinstance(m.fs.unit.ion_trans_number_membrane, Var)
assert isinstance(m.fs.unit.water_trans_number_membrane, Var)
assert isinstance(m.fs.unit.water_permeability_membrane, Var)
assert isinstance(m.fs.unit.membrane_areal_resistance, Var)
assert isinstance(m.fs.unit.current_applied, Var)
assert isinstance(m.fs.unit.current_density_x, Var)
assert isinstance(m.fs.unit.voltage_applied, Var)
assert isinstance(m.fs.unit.voltage_x, Var)
assert isinstance(m.fs.unit.current_utilization, Var)
assert isinstance(m.fs.unit.diluate.power_electrical_x, Var)
assert isinstance(m.fs.unit.specific_power_electrical, Var)
assert isinstance(m.fs.unit.current_efficiency_x, Var)
assert isinstance(m.fs.unit.eq_get_total_areal_resistance_x, Constraint)
assert isinstance(m.fs.unit.eq_get_current_density, Constraint)
assert isinstance(m.fs.unit.eq_get_voltage_x, Constraint)
assert isinstance(m.fs.unit.eq_mass_transfer_term_diluate, Constraint)
assert isinstance(m.fs.unit.eq_mass_transfer_term_concentrate, Constraint)
assert isinstance(m.fs.unit.eq_power_electrical, Constraint)
assert isinstance(m.fs.unit.eq_specific_power_electrical, Constraint)
assert isinstance(m.fs.unit.eq_current_efficiency_x, Constraint)
assert isinstance(m.fs.unit.eq_isothermal_diluate, Constraint)
assert isinstance(m.fs.unit.eq_isothermal_concentrate, Constraint)
@pytest.mark.unit
def test_stats_constant_vol(self, electrodialysis_1d_cell3):
m = electrodialysis_1d_cell3
assert_units_consistent(m)
assert degrees_of_freedom(m) == 37
# Specify a system
# set the operational parameters
m.fs.unit.water_trans_number_membrane["cem"].fix(5.8)
m.fs.unit.water_trans_number_membrane["aem"].fix(4.3)
m.fs.unit.water_permeability_membrane["cem"].fix(2.16e-14)
m.fs.unit.water_permeability_membrane["aem"].fix(1.75e-14)
m.fs.unit.current_applied.fix(8)
m.fs.unit.electrodes_resistance.fix(0)
m.fs.unit.cell_pair_num.fix(10)
m.fs.unit.current_utilization.fix(1)
m.fs.unit.spacer_thickness.fix(2.7e-4)
m.fs.unit.membrane_areal_resistance["cem"].fix(1.89e-4)
m.fs.unit.membrane_areal_resistance["aem"].fix(1.77e-4)
m.fs.unit.cell_width.fix(0.1)
m.fs.unit.cell_length.fix(0.79)
m.fs.unit.membrane_thickness["aem"].fix(1.3e-4)
m.fs.unit.membrane_thickness["cem"].fix(1.3e-4)
m.fs.unit.solute_diffusivity_membrane["cem", "Na_+"].fix(1.8e-10)
m.fs.unit.solute_diffusivity_membrane["aem", "Na_+"].fix(1.25e-10)
m.fs.unit.solute_diffusivity_membrane["cem", "Cl_-"].fix(1.8e-10)
m.fs.unit.solute_diffusivity_membrane["aem", "Cl_-"].fix(1.25e-10)
m.fs.unit.solute_diffusivity_membrane["cem", "N"].fix(1.8e-10)
m.fs.unit.solute_diffusivity_membrane["aem", "N"].fix(1.25e-10)
m.fs.unit.ion_trans_number_membrane["cem", "Na_+"].fix(1)
m.fs.unit.ion_trans_number_membrane["aem", "Na_+"].fix(0)
m.fs.unit.ion_trans_number_membrane["cem", "Cl_-"].fix(0)
m.fs.unit.ion_trans_number_membrane["aem", "Cl_-"].fix(1)
# check ion transfer number requirements
assert (
sum(
value(m.fs.unit.ion_trans_number_membrane["cem", j])
for j in m.fs.properties.ion_set
)
== 1
)
assert (
sum(
value(m.fs.unit.ion_trans_number_membrane["aem", j])
for j in m.fs.properties.ion_set
)
== 1
)
assert sum(
value(m.fs.unit.ion_trans_number_membrane["cem", j])
for j in m.fs.properties.cation_set
) == sum(
value(m.fs.unit.ion_trans_number_membrane["aem", j])
for j in m.fs.properties.anion_set
)
# set the inlet stream
m.fs.unit.inlet_diluate.pressure.fix(101325)
m.fs.unit.inlet_diluate.temperature.fix(298.15)
m.fs.unit.inlet_diluate.flow_mol_phase_comp[0, "Liq", "H2O"].fix(2.40e-2)
m.fs.unit.inlet_diluate.flow_mol_phase_comp[0, "Liq", "Na_+"].fix(7.38e-5)
m.fs.unit.inlet_diluate.flow_mol_phase_comp[0, "Liq", "Cl_-"].fix(7.38e-5)
m.fs.unit.inlet_diluate.flow_mol_phase_comp[0, "Liq", "N"].fix(7.38e-6)
m.fs.unit.inlet_concentrate.pressure.fix(101325)
m.fs.unit.inlet_concentrate.temperature.fix(298.15)
m.fs.unit.inlet_concentrate.flow_mol_phase_comp[0, "Liq", "H2O"].fix(2.40e-2)
m.fs.unit.inlet_concentrate.flow_mol_phase_comp[0, "Liq", "Na_+"].fix(7.38e-5)
m.fs.unit.inlet_concentrate.flow_mol_phase_comp[0, "Liq", "Cl_-"].fix(7.38e-5)
m.fs.unit.inlet_concentrate.flow_mol_phase_comp[0, "Liq", "N"].fix(7.38e-6)
assert degrees_of_freedom(m) == 0
@pytest.mark.component
def test_initialization_scaling(self, electrodialysis_1d_cell3):
m = electrodialysis_1d_cell3
# set default scaling for state vars
m.fs.properties.set_default_scaling(
"flow_mol_phase_comp", 1e2, index=("Liq", "H2O")
)
m.fs.properties.set_default_scaling(
"flow_mol_phase_comp", 1e4, index=("Liq", "Na_+")
)
m.fs.properties.set_default_scaling(
"flow_mol_phase_comp", 1e4, index=("Liq", "Cl_-")
)
m.fs.properties.set_default_scaling(
"flow_mol_phase_comp", 1e5, index=("Liq", "N")
)
# set scaling factors for some vars
iscale.set_scaling_factor(m.fs.unit.cell_width, 10)
iscale.set_scaling_factor(m.fs.unit.cell_length, 10)
iscale.calculate_scaling_factors(m.fs)
initialization_tester(m)
badly_scaled_var_values = {
var.name: val for (var, val) in iscale.badly_scaled_var_generator(m)
}
assert not badly_scaled_var_values
# check to make sure DOF does not change
assert degrees_of_freedom(m) == 0
@pytest.mark.component
def test_solve(self, electrodialysis_1d_cell3):
m = electrodialysis_1d_cell3
# run solver and check for optimal solution
results = solver.solve(m)
assert_optimal_termination(results)
badly_scaled_var_values = {
var.name: val for (var, val) in iscale.badly_scaled_var_generator(m)
}
assert not badly_scaled_var_values
@pytest.mark.component
def test_solution(self, electrodialysis_1d_cell3):
m = electrodialysis_1d_cell3
assert value(
m.fs.unit.outlet_diluate.flow_mol_phase_comp[0, "Liq", "H2O"]
) == pytest.approx(2.30e-2, rel=5e-3)
assert value(
m.fs.unit.outlet_diluate.flow_mol_phase_comp[0, "Liq", "Na_+"]
) == pytest.approx(1.75e-05, rel=5e-3)
assert value(
m.fs.unit.outlet_diluate.flow_mol_phase_comp[0, "Liq", "Cl_-"]
) == pytest.approx(1.75e-05, rel=5e-3)
assert value(
m.fs.unit.outlet_diluate.flow_mol_phase_comp[0, "Liq", "N"]
) == pytest.approx(7.26e-06, rel=5e-3)
assert value(
m.fs.unit.outlet_concentrate.flow_mol_phase_comp[0, "Liq", "H2O"]
) == pytest.approx(2.50e-2, rel=5e-3)
assert value(
m.fs.unit.outlet_concentrate.flow_mol_phase_comp[0, "Liq", "Na_+"]
) == pytest.approx(1.30e-4, rel=5e-3)
assert value(
m.fs.unit.outlet_concentrate.flow_mol_phase_comp[0, "Liq", "Cl_-"]
) == pytest.approx(1.30e-4, rel=5e-3)
assert value(
m.fs.unit.outlet_concentrate.flow_mol_phase_comp[0, "Liq", "N"]
) == pytest.approx(7.50e-06, rel=5e-3)
@pytest.mark.component
def test_performance_contents(self, electrodialysis_1d_cell3):
m = electrodialysis_1d_cell3
perform_dict = m.fs.unit._get_performance_contents()
assert "vars" in perform_dict
assert value(
perform_dict["vars"]["Total electrical power consumption(Watt)"]
) == pytest.approx(5.63, rel=5e-3)
assert value(
perform_dict["vars"]["Specific electrical power consumption (kW*h/m**3)"]
) == pytest.approx(0.376, rel=5e-3)
| 44.632737 | 91 | 0.645001 | 4,450 | 32,448 | 4.474157 | 0.080225 | 0.045655 | 0.090357 | 0.083024 | 0.900452 | 0.899749 | 0.899699 | 0.893219 | 0.868056 | 0.855098 | 0 | 0.03288 | 0.226732 | 32,448 | 726 | 92 | 44.694215 | 0.760631 | 0.05461 | 0 | 0.769968 | 0 | 0 | 0.055855 | 0.004594 | 0 | 0 | 0 | 0 | 0.285942 | 1 | 0.035144 | false | 0 | 0.022364 | 0 | 0.067093 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
13684ecbcbfab659c3f7ef65cb5e091dee49c1f3 | 37 | py | Python | alis/__init__.py | alisista/py-alis | 08f76d0681c28700145a7839f3e97ee02fd0eb23 | [
"MIT"
] | 4 | 2018-08-22T03:44:04.000Z | 2019-10-27T05:34:24.000Z | alis/__init__.py | alisista/py-alis | 08f76d0681c28700145a7839f3e97ee02fd0eb23 | [
"MIT"
] | 1 | 2021-06-02T00:36:04.000Z | 2021-06-02T00:36:04.000Z | alis/__init__.py | alisista/py-alis | 08f76d0681c28700145a7839f3e97ee02fd0eb23 | [
"MIT"
] | null | null | null | from . import alis
from . import lib
| 12.333333 | 18 | 0.72973 | 6 | 37 | 4.5 | 0.666667 | 0.740741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.216216 | 37 | 2 | 19 | 18.5 | 0.931034 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
136941398f9d7b59fd74ed605d0a8788637357e1 | 560 | py | Python | eval_covid20cases_timm-regnetx_002_GaussianBlur.py | BrunoKrinski/segtool | cb604b5f38104c43a76450136e37c3d1c4b6d275 | [
"MIT"
] | null | null | null | eval_covid20cases_timm-regnetx_002_GaussianBlur.py | BrunoKrinski/segtool | cb604b5f38104c43a76450136e37c3d1c4b6d275 | [
"MIT"
] | null | null | null | eval_covid20cases_timm-regnetx_002_GaussianBlur.py | BrunoKrinski/segtool | cb604b5f38104c43a76450136e37c3d1c4b6d275 | [
"MIT"
] | null | null | null | import os
ls=["python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_0_GaussianBlur.yml",
"python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_1_GaussianBlur.yml",
"python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_2_GaussianBlur.yml",
"python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_3_GaussianBlur.yml",
"python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_4_GaussianBlur.yml",
]
for l in ls:
os.system(l) | 50.909091 | 106 | 0.851786 | 80 | 560 | 5.5875 | 0.3 | 0.111857 | 0.134228 | 0.212528 | 0.894855 | 0.894855 | 0.894855 | 0.894855 | 0.894855 | 0.894855 | 0 | 0.056711 | 0.055357 | 560 | 11 | 107 | 50.909091 | 0.78828 | 0 | 0 | 0 | 0 | 0 | 0.882353 | 0.659537 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
136c579966c9946bb856c492b15fac420e60fef6 | 42,823 | py | Python | cltk/tests/test_akkadian/test_akkadian.py | michiboo/cltk | f4ab93b836a995f88a007ed78246ea6db0bef377 | [
"MIT"
] | 1 | 2018-03-15T07:20:19.000Z | 2018-03-15T07:20:19.000Z | cltk/tests/test_akkadian/test_akkadian.py | michiboo/cltk | f4ab93b836a995f88a007ed78246ea6db0bef377 | [
"MIT"
] | null | null | null | cltk/tests/test_akkadian/test_akkadian.py | michiboo/cltk | f4ab93b836a995f88a007ed78246ea6db0bef377 | [
"MIT"
] | null | null | null | '''
Various test cases for akkadian functions in the CLTK
'''
__author__ = ['M. Willis Monroe <willismonroe@gmail.com>',
'Andrew Deloucas <adeloucas@g.harvard.com>']
__license__ = 'MIT License. See LICENSE.'
from cltk.phonology.akkadian.stress import StressFinder # pylint: disable=import-error
from cltk.corpus.akkadian.cdli_corpus import CDLICorpus # pylint: disable=import-error
from cltk.corpus.akkadian.pretty_print import PrettyPrint # pylint: disable=import-error
from cltk.corpus.akkadian.file_importer import FileImport # pylint: disable=import-error
from cltk.corpus.akkadian.tokenizer import Tokenizer # pylint: disable=import-error
import unittest
import os
TOKENIZER = Tokenizer(preserve_damage=False)
SAMPLE_TEXT = \
['Primary publication: ARM 01, 001',
'Author(s): Dossin, Georges',
'Publication date: 1946',
'Secondary publication(s): Durand, Jean-Marie, LAPO 16, 0305',
'Collection: National Museum of Syria, Damascus, Syria',
'Museum no.: NMSD —',
'Accession no.:',
'Provenience: Mari (mod. Tell Hariri)',
'Excavation no.:',
'Period: Old Babylonian (ca. 1900-1600 BC)',
'Dates referenced:',
'Object type: tablet',
'Remarks:',
'Material: clay',
'Language: Akkadian',
'Genre: Letter',
'Sub-genre:',
'CDLI comments:',
'Catalogue source: 20050104 cdliadmin',
'ATF source: cdlistaff',
'Translation: Durand, Jean-Marie (fr); Guerra, Dylan M. (en)',
'UCLA Library ARK: 21198/zz001rsp8x',
'Composite no.:',
'Seal no.:',
'CDLI no.: P254202',
'Transliteration:',
'&P254202 = ARM 01, 001',
'#atf: lang akk',
'@tablet',
'@obverse',
'1. a-na ia-ah-du-li-[im]',
'2. qi2-bi2-[ma]',
'3. um-ma a-bi-sa-mar#-[ma]',
'4. sa-li-ma-am e-pu-[usz]',
'5. asz-szum mu-sze-zi-ba-am# [la i-szu]',
'6. [sa]-li#-ma-am sza e-[pu-szu]',
'7. [u2-ul] e-pu-usz sa#-[li-mu-um]',
'8. [u2-ul] sa-[li-mu-um-ma]',
'$ rest broken',
'@reverse',
'$ beginning broken',
"1'. isz#-tu mu#-[sze-zi-ba-am la i-szu]",
"2'. a-la-nu-ia sza la is,-s,a-ab#-[tu]",
"3'. i-na-an-na is,-s,a-ab-[tu]",
"4'. i-na ne2-kur-ti _lu2_ ha-szi-[im{ki}]",
"5'. ur-si-im{ki} _lu2_ ka-ar-ka#-[mi-is{ki}]",
"6'. u3 ia-am-ha-ad[{ki}]",
"7'. a-la-nu an-nu-tum u2-ul ih-li-qu2#",
"8'. i-na ne2-kur-ti {disz}sa-am-si-{d}iszkur#-ma",
"9'. ih-ta-al-qu2",
"10'. u3 a-la-nu sza ki-ma u2-hu-ru u2-sze-zi-ib#",
"11'. u3 na-pa-asz2-ti u2-ba-li-it,",
"12'. pi2-qa-at ha-s,e-ra#-at",
"13'. asz-szum a-la-nu-ka",
"14'. u3 ma-ru-ka sza-al#-[mu]",
"15'. [a-na na-pa]-asz2#-ti-ia i-tu-ur",
'',
'',
'Primary publication: ARM 01, 002',
'Author(s): Dossin, Georges',
'Publication date: 1946',
'Secondary publication(s): Durand, Jean-Marie, LAPO 16, 0306',
'Collection: National Museum of Syria, Damascus, Syria',
'Museum no.: NMSD —',
'Accession no.:',
'Provenience: Mari (mod. Tell Hariri)',
'Excavation no.:',
'Period: Old Babylonian (ca. 1900-1600 BC)',
'Dates referenced:',
'Object type: tablet',
'Remarks:',
'Material: clay',
'Language: Akkadian',
'Genre: Letter',
'Sub-genre:',
'CDLI comments:',
'Catalogue source: 20050104 cdliadmin',
'ATF source: cdlistaff',
'Translation:',
'UCLA Library ARK: 21198/zz001rsp9f',
'Composite no.:',
'Seal no.:',
'CDLI no.: P254203',
'Transliteration:',
'&P254203 = ARM 01, 002',
'#atf: lang akk',
'@tablet',
'@obverse',
'1. a-na ia-ah-du-[li-im]',
'2. qi2-bi2-[ma]',
'3. um-ma a-bi-sa-mar-[ma]',
'4. asz-szum sza a-qa-bi-kum la ta-ha-asz2#',
'5. a-na ma-ni-im lu-ud-bu-ub',
'6. szum-ma a-na?-<ku> a-na a-bi-ia la ad#-[bu-ub]',
'7. szum-ma a-bi-sa-mar te-zi-ir#',
'8. u3 a-la#-ni#-ka te-zi-ir-ma#',
'9. i-na an-ni-a-tim sza a-da-bu-[bu]',
'10. a-na-ku mi-im-ma u2-ul e-le#-[i]',
'11. sza sza-ru-ti-ka u3 sza ra-pa#-[szi-ka e-pu-usz]',
'12. u3 lu-u2 sza sza-ru-ut-ka u2-ul te-le#-[i]',
'13. u3 lu-u2 sza ra-pa-szi-ka [te-ep-pe2-esz]',
'14. u3 lu ma-at ia-ma-ha-ad#{ki}',
'15. u3# lu# _u4 8(disz)-kam_ isz-tu [i-na-an-na]',
'$ rest broken',
'@reverse',
'$ beginning broken',
"1'. um#-[...]",
"2'. lu#-[...]",
"3'. a-[...]",
"4'. szum#-[...]",
"5'. a-na# [...]",
"6'. ma-li# [...]",
"7'. u3 u2-hu-ur# [...]",
"8'. a-su2-ur-ri [...]",
"9'. szu-zi-ba-an#-[ni ...]",
"10'. a-na [...]",
"11'. pi2-qa-at ta-qa-ab#-[bi um-ma at-ta-a-ma]",
'@left',
'1. {disz}a-bi-sa-mar u2-ul ma-ri u3 bi-ti a-na la bi-tu#-[tu-ur2-ma]',
'2. bi-tum bi-it-ka u3 {disz}a-bi#-[sa]-mar# ma-ru-ka-[ma]']
class TestSequenceFunctions(unittest.TestCase): # pylint: disable=R0904
'''
An experiment to use Huehnergard's grammar and key to test the functions
in the cltk.
'''
def test_lesson_1_exercise_d(self):
"""Tests stresser"""
nouns = ['abum', 'ālum', 'amtum', 'bēlum', 'ḫurāṣum', 'iltum',
'ilum', 'kaspum', 'mārtum', 'mārum', 'qaqqadum',
'ṣābum', 'šarratum', 'šarrum', 'wardum']
stresser = StressFinder()
stress = []
for noun in nouns:
stress.append(stresser.find_stress(noun))
target = [['[a]', 'bum'], ['[ā]', 'lum'], ['[am]', 'tum'],
['[bē]', 'lum'], ['ḫu', '[rā]', 'ṣum'],
['[il]', 'tum'], ['[i]', 'lum'], ['[kas]', 'pum'],
['[mār]', 'tum'], ['[mā]', 'rum'],
['[qaq]', 'qa', 'dum'], ['[ṣā]', 'bum'],
['[šar]', 'ra', 'tum'], ['[šar]', 'rum'],
['[war]', 'dum']]
self.assertEqual(stress, target)
def test_lesson_1_exercise_e(self):
"""Tests Stresser"""
nouns = ['mušallimum', 'išāl', 'idin', 'iddinūniššum',
'tabnianni', 'niqīaš', 'epēšum', 'kullumum', 'tabnû',
'iššiakkum', 'rēdûm', 'iqbi', 'paris', 'išmeānim',
'pete', 'šūṣû']
stresser = StressFinder()
stress = []
for noun in nouns:
stress.append(stresser.find_stress(noun))
target = [['mu', '[šal]', 'li', 'mum'], ['i', '[šāl]'],
['[i]', 'din'], ['id', 'di', 'nū', '[niš]', 'šum'],
['tab', 'ni', '[an]', 'ni'], ['ni', '[qī]', 'aš'],
['e', '[pē]', 'šum'], ['[kul]', 'lu', 'mum'],
['tab', '[nû]'], ['iš', 'ši', '[ak]', 'kum'],
['rē', '[dûm]'], ['[iq]', 'bi'], ['[pa]', 'ris'],
['iš', 'me', '[ā]', 'nim'], ['[pe]', 'te'], ['šū', '[ṣû]']]
self.assertEqual(stress, target)
def test_lesson_2_exercise_b(self):
"""Tests Stresser"""
nouns = ['aššatum', 'bītum', 'emūqum', 'īnum', 'išdum',
'libbum', 'mutum', 'nārum', 'šīpātum', 'ṭuppum',
'ummum', 'uznum']
stresser = StressFinder()
stress = []
for noun in nouns:
stress.append(stresser.find_stress(noun))
target = [['[aš]', 'ša', 'tum'], ['[bī]', 'tum'],
['e', '[mū]', 'qum'], ['[ī]', 'num'], ['[iš]', 'dum'],
['[lib]', 'bum'], ['[mu]', 'tum'],
['[nā]', 'rum'], ['šī', '[pā]', 'tum'], ['[ṭup]', 'pum'],
['[um]', 'mum'], ['[uz]', 'num']]
self.assertEqual(stress, target)
class TestcasesfromGSOC(unittest.TestCase): # pylint: disable=R0904
"""Class for unittest"""
def test_read_file(self):
"""
Tests read_file.
"""
cdli = FileImport(os.path.join(os.path.dirname(__file__), 'single_text.txt'))
cdli.read_file()
final = cdli.file_lines
goal = ['Primary publication: ARM 01, 001',
'Author(s): Dossin, Georges',
'Publication date: 1946',
'Secondary publication(s): Durand, Jean-Marie, LAPO 16, 0305',
'Collection: National Museum of Syria, Damascus, Syria',
'Museum no.: NMSD —',
'Accession no.:',
'Provenience: Mari (mod. Tell Hariri)',
'Excavation no.:',
'Period: Old Babylonian (ca. 1900-1600 BC)',
'Dates referenced:',
'Object type: tablet',
'Remarks:',
'Material: clay',
'Language: Akkadian',
'Genre: Letter',
'Sub-genre:',
'CDLI comments:',
'Catalogue source: 20050104 cdliadmin',
'ATF source: cdlistaff',
'Translation: Durand, Jean-Marie (fr); Guerra, Dylan M. (en)',
'UCLA Library ARK: 21198/zz001rsp8x',
'Composite no.:',
'Seal no.:',
'CDLI no.: P254202',
'Transliteration:',
'&P254202 = ARM 01, 001',
'#atf: lang akk',
'@tablet',
'@obverse',
'1. a-na ia-ah-du-li-[im]',
'2. qi2-bi2-[ma]',
'3. um-ma a-bi-sa-mar#-[ma]',
'4. sa-li-ma-am e-pu-[usz]',
'5. asz-szum mu-sze-zi-ba-am# [la i-szu]',
'6. [sa]-li#-ma-am sza e-[pu-szu]',
'7. [u2-ul] e-pu-usz sa#-[li-mu-um]',
'8. [u2-ul] sa-[li-mu-um-ma]',
'$ rest broken',
'@reverse',
'$ beginning broken',
"1'. isz#-tu mu#-[sze-zi-ba-am la i-szu]",
"2'. a-la-nu-ia sza la is,-s,a-ab#-[tu]",
"3'. i-na-an-na is,-s,a-ab-[tu]",
"4'. i-na ne2-kur-ti _lu2_ ha-szi-[im{ki}]",
"5'. ur-si-im{ki} _lu2_ ka-ar-ka#-[mi-is{ki}]",
"6'. u3 ia-am-ha-ad[{ki}]",
"7'. a-la-nu an-nu-tum u2-ul ih-li-qu2#",
"8'. i-na ne2-kur-ti {disz}sa-am-si-{d}iszkur#-ma",
"9'. ih-ta-al-qu2",
"10'. u3 a-la-nu sza ki-ma u2-hu-ru u2-sze-zi-ib#",
"11'. u3 na-pa-asz2-ti u2-ba-li-it,",
"12'. pi2-qa-at ha-s,e-ra#-at",
"13'. asz-szum a-la-nu-ka",
"14'. u3 ma-ru-ka sza-al#-[mu]",
"15'. [a-na na-pa]-asz2#-ti-ia i-tu-ur"]
print(os.getcwd())
self.assertEqual(final, goal)
def test_file_catalog(self):
"""
Tests file_catalog.
"""
cdli = FileImport(os.path.join(os.path.dirname(__file__), 'single_text.txt'))
cdli.file_catalog()
final = cdli.catalog
goal = ['__pycache__', 'html_file.html', 'html_single_text.html',
'single_text.txt', 'test_akkadian.py',
'two_text_abnormalities.txt']
self.assertEqual(final, goal)
def test_parse_file(self):
"""
Tests parse_file.
"""
cdli = CDLICorpus()
cdli.parse_file(SAMPLE_TEXT)
output = cdli.chunks
goal = [['Primary publication: ARM 01, 001',
'Author(s): Dossin, Georges',
'Publication date: 1946',
'Secondary publication(s): Durand, Jean-Marie, LAPO 16, 0305',
'Collection: National Museum of Syria, Damascus, Syria',
'Museum no.: NMSD —',
'Accession no.:',
'Provenience: Mari (mod. Tell Hariri)',
'Excavation no.:',
'Period: Old Babylonian (ca. 1900-1600 BC)',
'Dates referenced:',
'Object type: tablet',
'Remarks:',
'Material: clay',
'Language: Akkadian',
'Genre: Letter',
'Sub-genre:',
'CDLI comments:',
'Catalogue source: 20050104 cdliadmin',
'ATF source: cdlistaff',
'Translation: Durand, Jean-Marie (fr); Guerra, Dylan M. (en)',
'UCLA Library ARK: 21198/zz001rsp8x',
'Composite no.:',
'Seal no.:',
'CDLI no.: P254202',
'Transliteration:',
'&P254202 = ARM 01, 001',
'#atf: lang akk',
'@tablet',
'@obverse',
'1. a-na ia-ah-du-li-[im]',
'2. qi2-bi2-[ma]',
'3. um-ma a-bi-sa-mar#-[ma]',
'4. sa-li-ma-am e-pu-[usz]',
'5. asz-szum mu-sze-zi-ba-am# [la i-szu]',
'6. [sa]-li#-ma-am sza e-[pu-szu]',
'7. [u2-ul] e-pu-usz sa#-[li-mu-um]',
'8. [u2-ul] sa-[li-mu-um-ma]',
'$ rest broken',
'@reverse',
'$ beginning broken',
"1'. isz#-tu mu#-[sze-zi-ba-am la i-szu]",
"2'. a-la-nu-ia sza la is,-s,a-ab#-[tu]",
"3'. i-na-an-na is,-s,a-ab-[tu]",
"4'. i-na ne2-kur-ti _lu2_ ha-szi-[im{ki}]",
"5'. ur-si-im{ki} _lu2_ ka-ar-ka#-[mi-is{ki}]",
"6'. u3 ia-am-ha-ad[{ki}]",
"7'. a-la-nu an-nu-tum u2-ul ih-li-qu2#",
"8'. i-na ne2-kur-ti {disz}sa-am-si-{d}iszkur#-ma",
"9'. ih-ta-al-qu2",
"10'. u3 a-la-nu sza ki-ma u2-hu-ru u2-sze-zi-ib#",
"11'. u3 na-pa-asz2-ti u2-ba-li-it,",
"12'. pi2-qa-at ha-s,e-ra#-at",
"13'. asz-szum a-la-nu-ka",
"14'. u3 ma-ru-ka sza-al#-[mu]",
"15'. [a-na na-pa]-asz2#-ti-ia i-tu-ur"],
['Primary publication: ARM 01, 002',
'Author(s): Dossin, Georges',
'Publication date: 1946',
'Secondary publication(s): Durand, Jean-Marie, LAPO 16, 0306',
'Collection: National Museum of Syria, Damascus, Syria',
'Museum no.: NMSD —',
'Accession no.:',
'Provenience: Mari (mod. Tell Hariri)',
'Excavation no.:',
'Period: Old Babylonian (ca. 1900-1600 BC)',
'Dates referenced:',
'Object type: tablet',
'Remarks:',
'Material: clay',
'Language: Akkadian',
'Genre: Letter',
'Sub-genre:',
'CDLI comments:',
'Catalogue source: 20050104 cdliadmin',
'ATF source: cdlistaff',
'Translation:',
'UCLA Library ARK: 21198/zz001rsp9f',
'Composite no.:',
'Seal no.:',
'CDLI no.: P254203',
'Transliteration:',
'&P254203 = ARM 01, 002',
'#atf: lang akk',
'@tablet',
'@obverse',
'1. a-na ia-ah-du-[li-im]',
'2. qi2-bi2-[ma]',
'3. um-ma a-bi-sa-mar-[ma]',
'4. asz-szum sza a-qa-bi-kum la ta-ha-asz2#',
'5. a-na ma-ni-im lu-ud-bu-ub',
'6. szum-ma a-na?-<ku> a-na a-bi-ia la ad#-[bu-ub]',
'7. szum-ma a-bi-sa-mar te-zi-ir#',
'8. u3 a-la#-ni#-ka te-zi-ir-ma#',
'9. i-na an-ni-a-tim sza a-da-bu-[bu]',
'10. a-na-ku mi-im-ma u2-ul e-le#-[i]',
'11. sza sza-ru-ti-ka u3 sza ra-pa#-[szi-ka e-pu-usz]',
'12. u3 lu-u2 sza sza-ru-ut-ka u2-ul te-le#-[i]',
'13. u3 lu-u2 sza ra-pa-szi-ka [te-ep-pe2-esz]',
'14. u3 lu ma-at ia-ma-ha-ad#{ki}',
'15. u3# lu# _u4 8(disz)-kam_ isz-tu [i-na-an-na]',
'$ rest broken',
'@reverse',
'$ beginning broken',
"1'. um#-[...]",
"2'. lu#-[...]",
"3'. a-[...]",
"4'. szum#-[...]",
"5'. a-na# [...]",
"6'. ma-li# [...]",
"7'. u3 u2-hu-ur# [...]",
"8'. a-su2-ur-ri [...]",
"9'. szu-zi-ba-an#-[ni ...]",
"10'. a-na [...]",
"11'. pi2-qa-at ta-qa-ab#-[bi um-ma at-ta-a-ma]",
'@left',
'1. {disz}a-bi-sa-mar u2-ul ma-ri u3 bi-ti a-na '
'la bi-tu#-[tu-ur2-ma]',
'2. bi-tum bi-it-ka u3 {disz}a-bi#-[sa]-mar# ma-ru-ka-[ma]']]
self.assertEqual(output, goal)
def test_call_text(self):
"""
Tests calling a text.
"""
cdli = CDLICorpus()
cdli.parse_file(SAMPLE_TEXT)
output = cdli.catalog['P254203']['raw_text']
goal = ['@obverse',
'1. a-na ia-ah-du-[li-im]',
'2. qi2-bi2-[ma]',
'3. um-ma a-bi-sa-mar-[ma]',
'4. asz-szum sza a-qa-bi-kum la ta-ha-asz2#',
'5. a-na ma-ni-im lu-ud-bu-ub',
'6. szum-ma a-na?-<ku> a-na a-bi-ia la ad#-[bu-ub]',
'7. szum-ma a-bi-sa-mar te-zi-ir#',
'8. u3 a-la#-ni#-ka te-zi-ir-ma#',
'9. i-na an-ni-a-tim sza a-da-bu-[bu]',
'10. a-na-ku mi-im-ma u2-ul e-le#-[i]',
'11. sza sza-ru-ti-ka u3 sza ra-pa#-[szi-ka e-pu-usz]',
'12. u3 lu-u2 sza sza-ru-ut-ka u2-ul te-le#-[i]',
'13. u3 lu-u2 sza ra-pa-szi-ka [te-ep-pe2-esz]',
'14. u3 lu ma-at ia-ma-ha-ad#{ki}',
'15. u3# lu# _u4 8(disz)-kam_ isz-tu [i-na-an-na]',
'$ rest broken',
'@reverse',
'$ beginning broken',
"1'. um#-[...]",
"2'. lu#-[...]",
"3'. a-[...]",
"4'. szum#-[...]",
"5'. a-na# [...]",
"6'. ma-li# [...]",
"7'. u3 u2-hu-ur# [...]",
"8'. a-su2-ur-ri [...]",
"9'. szu-zi-ba-an#-[ni ...]",
"10'. a-na [...]",
"11'. pi2-qa-at ta-qa-ab#-[bi um-ma at-ta-a-ma]",
'@left',
'1. {disz}a-bi-sa-mar u2-ul ma-ri u3 bi-ti a-na la bi-tu#-[tu-ur2-ma]',
'2. bi-tum bi-it-ka u3 {disz}a-bi#-[sa]-mar# ma-ru-ka-[ma]']
self.assertEqual(output, goal)
def test_find_cdli_number(self):
"""
Tests list_pnums.
"""
cdli = CDLICorpus()
cdli.parse_file(SAMPLE_TEXT)
output = cdli.list_pnums()
goal = ['P254202', 'P254203']
self.assertEqual(output, goal)
def test_find_edition(self):
"""
Tests list_editions.
"""
cdli = CDLICorpus()
cdli.parse_file(SAMPLE_TEXT)
output = cdli.list_editions()
goal = ['ARM 01, 001', 'ARM 01, 002']
self.assertEqual(output, goal)
def test_find_metadata(self):
"""
Tests calling metadata in a file.
"""
cdli = CDLICorpus()
cdli.parse_file(SAMPLE_TEXT)
output = [cdli.catalog[text]['metadata'] for text in cdli.catalog]
goal = [['Primary publication: ARM 01, 001',
'Author(s): Dossin, Georges',
'Publication date: 1946',
'Secondary publication(s): Durand, Jean-Marie, LAPO 16, 0305',
'Collection: National Museum of Syria, Damascus, Syria',
'Museum no.: NMSD —',
'Accession no.:',
'Provenience: Mari (mod. Tell Hariri)',
'Excavation no.:',
'Period: Old Babylonian (ca. 1900-1600 BC)',
'Dates referenced:',
'Object type: tablet',
'Remarks:',
'Material: clay',
'Language: Akkadian',
'Genre: Letter',
'Sub-genre:',
'CDLI comments:',
'Catalogue source: 20050104 cdliadmin',
'ATF source: cdlistaff',
'Translation: Durand, Jean-Marie (fr); Guerra, Dylan M. (en)',
'UCLA Library ARK: 21198/zz001rsp8x',
'Composite no.:',
'Seal no.:',
'CDLI no.: P254202'],
['Primary publication: ARM 01, 002',
'Author(s): Dossin, Georges',
'Publication date: 1946',
'Secondary publication(s): Durand, Jean-Marie, LAPO 16, 0306',
'Collection: National Museum of Syria, Damascus, Syria',
'Museum no.: NMSD —',
'Accession no.:',
'Provenience: Mari (mod. Tell Hariri)',
'Excavation no.:',
'Period: Old Babylonian (ca. 1900-1600 BC)',
'Dates referenced:',
'Object type: tablet',
'Remarks:',
'Material: clay',
'Language: Akkadian',
'Genre: Letter',
'Sub-genre:',
'CDLI comments:',
'Catalogue source: 20050104 cdliadmin',
'ATF source: cdlistaff',
'Translation:',
'UCLA Library ARK: 21198/zz001rsp9f',
'Composite no.:',
'Seal no.:',
'CDLI no.: P254203']]
self.assertEqual(output, goal)
def test_find_transliteration(self):
"""
Tests calling transliteration in a file.
"""
cdli = CDLICorpus()
cdli.parse_file(SAMPLE_TEXT)
output = [cdli.catalog[text]['transliteration'] for text in cdli.catalog]
goal = [['a-na ia-ah-du-li-[im]',
'qi2-bi2-[ma]',
'um-ma a-bi-sa-mar#-[ma]',
'sa-li-ma-am e-pu-[usz]',
'asz-szum mu-sze-zi-ba-am# [la i-szu]',
'[sa]-li#-ma-am sza e-[pu-szu]',
'[u2-ul] e-pu-usz sa#-[li-mu-um]',
'[u2-ul] sa-[li-mu-um-ma]',
'isz#-tu mu#-[sze-zi-ba-am la i-szu]',
'a-la-nu-ia sza la is,-s,a-ab#-[tu]',
'i-na-an-na is,-s,a-ab-[tu]',
'i-na ne2-kur-ti _lu2_ ha-szi-[im{ki}]',
'ur-si-im{ki} _lu2_ ka-ar-ka#-[mi-is{ki}]',
'u3 ia-am-ha-ad[{ki}]',
'a-la-nu an-nu-tum u2-ul ih-li-qu2#',
'i-na ne2-kur-ti {disz}sa-am-si-{d}iszkur#-ma',
'ih-ta-al-qu2',
'u3 a-la-nu sza ki-ma u2-hu-ru u2-sze-zi-ib#',
'u3 na-pa-asz2-ti u2-ba-li-it,',
'pi2-qa-at ha-s,e-ra#-at',
'asz-szum a-la-nu-ka',
'u3 ma-ru-ka sza-al#-[mu]',
'[a-na na-pa]-asz2#-ti-ia i-tu-ur'],
['a-na ia-ah-du-[li-im]',
'qi2-bi2-[ma]',
'um-ma a-bi-sa-mar-[ma]',
'asz-szum sza a-qa-bi-kum la ta-ha-asz2#',
'a-na ma-ni-im lu-ud-bu-ub',
'szum-ma a-na?-<ku> a-na a-bi-ia la ad#-[bu-ub]',
'szum-ma a-bi-sa-mar te-zi-ir#',
'u3 a-la#-ni#-ka te-zi-ir-ma#',
'i-na an-ni-a-tim sza a-da-bu-[bu]',
'a-na-ku mi-im-ma u2-ul e-le#-[i]',
'sza sza-ru-ti-ka u3 sza ra-pa#-[szi-ka e-pu-usz]',
'u3 lu-u2 sza sza-ru-ut-ka u2-ul te-le#-[i]',
'u3 lu-u2 sza ra-pa-szi-ka [te-ep-pe2-esz]',
'u3 lu ma-at ia-ma-ha-ad#{ki}',
'u3# lu# _u4 8(disz)-kam_ isz-tu [i-na-an-na]',
'um#-[...]',
'lu#-[...]',
'a-[...]',
'szum#-[...]',
'a-na# [...]',
'ma-li# [...]',
'u3 u2-hu-ur# [...]',
'a-su2-ur-ri [...]',
'szu-zi-ba-an#-[ni ...]',
'a-na [...]',
'pi2-qa-at ta-qa-ab#-[bi um-ma at-ta-a-ma]',
'{disz}a-bi-sa-mar u2-ul ma-ri u3 bi-ti a-na la bi-tu#-[tu-ur2-ma]',
'bi-tum bi-it-ka u3 {disz}a-bi#-[sa]-mar# ma-ru-ka-[ma]']]
self.assertEqual(output, goal)
def test_table_of_contents(self):
"""
Tests toc.
"""
cdli = CDLICorpus()
cdli.parse_file(SAMPLE_TEXT)
output = cdli.toc()
goal = ['Pnum: P254202, Edition: ARM 01, 001, length: 23 line(s)',
'Pnum: P254203, Edition: ARM 01, 002, length: 28 line(s)']
self.assertEqual(output, goal)
def test_abnormalities(self):
"""Tests lines 83, 102, 121-2"""
f_i = FileImport(os.path.join(os.path.dirname(__file__), 'two_text_abnormalities.txt'))
f_i.read_file()
text_file = f_i.file_lines
cdli = CDLICorpus()
cdli.parse_file(text_file)
goal = \
{'P254202':
{'edition': 'ARM 01, 001',
'metadata': [],
'normalization': [],
'pnum': 'P254202',
'raw_text': ['@obverse',
'1. a-na ia-ah-du-li-[im]',
'2. qi2-bi2-[ma]',
'3. um-ma a-bi-sa-mar#-[ma]',
'4. sa-li-ma-am e-pu-[usz]',
'5. asz-szum mu-sze-zi-ba-am# [la i-szu]',
'6. [sa]-li#-ma-am sza e-[pu-szu]',
'7. [u2-ul] e-pu-usz sa#-[li-mu-um]',
'8. [u2-ul] sa-[li-mu-um-ma]',
'$ rest broken',
'@reverse',
'$ beginning broken',
"1'. isz#-tu mu#-[sze-zi-ba-am la i-szu]",
"2'. a-la-nu-ia sza la is,-s,a-ab#-[tu]",
"3'. i-na-an-na is,-s,a-ab-[tu]",
"4'. i-na ne2-kur-ti _lu2_ ha-szi-[im{ki}]",
"5'. ur-si-im{ki} _lu2_ ka-ar-ka#-[mi-is{ki}]",
"6'. u3 ia-am-ha-ad[{ki}]",
"7'. a-la-nu an-nu-tum u2-ul ih-li-qu2#",
"8'. i-na ne2-kur-ti {disz}sa-am-si-{d}iszkur#-ma",
"9'. ih-ta-al-qu2",
"10'. u3 a-la-nu sza ki-ma u2-hu-ru u2-sze-zi-ib#",
"11'. u3 na-pa-asz2-ti u2-ba-li-it,",
"12'. pi2-qa-at ha-s,e-ra#-at",
"13'. asz-szum a-la-nu-ka",
"14'. u3 ma-ru-ka sza-al#-[mu]",
"15'. [a-na na-pa]-asz2#-ti-ia i-tu-ur"],
'translation': [],
'transliteration': ['a-na ia-ah-du-li-[im]',
'qi2-bi2-[ma]',
'um-ma a-bi-sa-mar#-[ma]',
'sa-li-ma-am e-pu-[usz]',
'asz-szum mu-sze-zi-ba-am# [la i-szu]',
'[sa]-li#-ma-am sza e-[pu-szu]',
'[u2-ul] e-pu-usz sa#-[li-mu-um]',
'[u2-ul] sa-[li-mu-um-ma]',
'isz#-tu mu#-[sze-zi-ba-am la i-szu]',
'a-la-nu-ia sza la is,-s,a-ab#-[tu]',
'i-na-an-na is,-s,a-ab-[tu]',
'i-na ne2-kur-ti _lu2_ ha-szi-[im{ki}]',
'ur-si-im{ki} _lu2_ ka-ar-ka#-[mi-is{ki}]',
'u3 ia-am-ha-ad[{ki}]',
'a-la-nu an-nu-tum u2-ul ih-li-qu2#',
'i-na ne2-kur-ti {disz}sa-am-si-{d}iszkur#-ma',
'ih-ta-al-qu2',
'u3 a-la-nu sza ki-ma u2-hu-ru u2-sze-zi-ib#',
'u3 na-pa-asz2-ti u2-ba-li-it,',
'pi2-qa-at ha-s,e-ra#-at',
'asz-szum a-la-nu-ka',
'u3 ma-ru-ka sza-al#-[mu]',
'[a-na na-pa]-asz2#-ti-ia i-tu-ur']},
'P254203': {'edition': '',
'metadata': [],
'normalization': [],
'pnum': 'P254203',
'raw_text': ['@obverse',
'1. a-na ia-ah-du-[li-im]',
'2. qi2-bi2-[ma]',
'3. um-ma a-bi-sa-mar-[ma]',
'4. asz-szum sza a-qa-bi-kum la ta-ha-asz2#',
'5. a-na ma-ni-im lu-ud-bu-ub',
'6. szum-ma a-na?-<ku> a-na a-bi-ia la ad#-[bu-ub]',
'7. szum-ma a-bi-sa-mar te-zi-ir#',
'8. u3 a-la#-ni#-ka te-zi-ir-ma#',
'9. i-na an-ni-a-tim sza a-da-bu-[bu]',
'10. a-na-ku mi-im-ma u2-ul e-le#-[i]',
'11. sza sza-ru-ti-ka u3 sza ra-pa#-[szi-ka e-pu-usz]',
'12. u3 lu-u2 sza sza-ru-ut-ka u2-ul te-le#-[i]',
'13. u3 lu-u2 sza ra-pa-szi-ka [te-ep-pe2-esz]',
'14. u3 lu ma-at ia-ma-ha-ad#{ki}',
'15. u3# lu# _u4 8(disz)-kam_ isz-tu [i-na-an-na]',
'$ rest broken',
'@reverse',
'$ beginning broken',
"1'. um#-[...]",
"2'. lu#-[...]",
"3'. a-[...]",
"4'. szum#-[...]",
"5'. a-na# [...]",
"6'. ma-li# [...]",
"7'. u3 u2-hu-ur# [...]",
"8'. a-su2-ur-ri [...]",
"9'. szu-zi-ba-an#-[ni ...]",
"10'. a-na [...]",
"11'. pi2-qa-at ta-qa-ab#-[bi um-ma at-ta-a-ma]",
'@left',
'1. {disz}a-bi-sa-mar u2-ul ma-ri u3 '
'bi-ti a-na la bi-tu#-[tu-ur2-ma]',
'2. bi-tum bi-it-ka u3 {disz}a-bi#-[sa]-mar# ma-ru-ka-[ma]'],
'translation': [],
'transliteration': ['a-na ia-ah-du-[li-im]',
'qi2-bi2-[ma]',
'um-ma a-bi-sa-mar-[ma]',
'asz-szum sza a-qa-bi-kum la ta-ha-asz2#',
'a-na ma-ni-im lu-ud-bu-ub',
'szum-ma a-na?-<ku> a-na a-bi-ia la ad#-[bu-ub]',
'szum-ma a-bi-sa-mar te-zi-ir#',
'u3 a-la#-ni#-ka te-zi-ir-ma#',
'i-na an-ni-a-tim sza a-da-bu-[bu]',
'a-na-ku mi-im-ma u2-ul e-le#-[i]',
'sza sza-ru-ti-ka u3 sza ra-pa#-[szi-ka e-pu-usz]',
'u3 lu-u2 sza sza-ru-ut-ka u2-ul te-le#-[i]',
'u3 lu-u2 sza ra-pa-szi-ka [te-ep-pe2-esz]',
'u3 lu ma-at ia-ma-ha-ad#{ki}',
'u3# lu# _u4 8(disz)-kam_ isz-tu [i-na-an-na]',
'um#-[...]',
'lu#-[...]',
'a-[...]',
'szum#-[...]',
'a-na# [...]',
'ma-li# [...]',
'u3 u2-hu-ur# [...]',
'a-su2-ur-ri [...]',
'szu-zi-ba-an#-[ni ...]',
'a-na [...]',
'pi2-qa-at ta-qa-ab#-[bi um-ma at-ta-a-ma]',
'{disz}a-bi-sa-mar u2-ul ma-ri u3 '
'bi-ti a-na la bi-tu#-[tu-ur2-ma]',
'bi-tum bi-it-ka u3 '
'{disz}a-bi#-[sa]-mar# ma-ru-ka-[ma]']}}
self.assertEqual(cdli.catalog, goal)
def test_print_catalog(self):
"""
Tests _chunk_text.
"""
cdli = CDLICorpus()
cdli.parse_file(SAMPLE_TEXT)
output = cdli.print_catalog(catalog_filter=['transliteration'])
goal = print(output)
self.assertEqual(output, goal)
def test_string_tokenizer(self):
"""
Tests string_tokenizer.
"""
text = '20. u2-sza-bi-la-kum\n1. a-na ia-as2-ma-ah-{d}iszkur#\n' \
'2. qi2-bi2-ma\n3. um-ma {d}utu-szi-{d}iszkur\n' \
'4. a-bu-ka-a-ma\n5. t,up-pa-[ka] sza#-[tu]-sza-bi-lam esz-me' \
'\n' '6. asz-szum t,e4#-em# {d}utu-illat-su2\n' \
'7. u3 ia#-szu-ub-dingir sza a-na la i-[zu]-zi-im\n'
output = TOKENIZER.string_tokenizer(text, include_blanks=False)
goal = ['20. u2-sza-bi-la-kum',
'1. a-na ia-as2-ma-ah-{d}iszkur',
'2. qi2-bi2-ma',
'3. um-ma {d}utu-szi-{d}iszkur',
'4. a-bu-ka-a-ma',
'5. t,up-pa-ka sza-tu-sza-bi-lam esz-me',
'6. asz-szum t,e4-em {d}utu-illat-su2',
'7. u3 ia-szu-ub-dingir sza a-na la i-zu-zi-im']
self.assertEqual(output, goal)
def test_line_tokenizer(self):
"""
Tests line_tokenizer.
"""
output = TOKENIZER.line_tokenizer(os.path.join(
os.path.dirname(__file__), 'single_text.txt'))
goal = ['1. a-na ia-ah-du-li-im',
'2. qi2-bi2-ma',
'3. um-ma a-bi-sa-mar-ma',
'4. sa-li-ma-am e-pu-usz',
'5. asz-szum mu-sze-zi-ba-am la i-szu',
'6. sa-li-ma-am sza e-pu-szu',
'7. u2-ul e-pu-usz sa-li-mu-um',
'8. u2-ul sa-li-mu-um-ma',
'$ rest broken',
'@reverse']
self.assertEqual(output[30:40], goal)
def test_markdown_single_text(self):
"""
Tests markdown_single_text.
"""
cdli = CDLICorpus()
cdli.parse_file(SAMPLE_TEXT)
p_p = PrettyPrint()
p_p.markdown_single_text(cdli.catalog, 'P254203')
output = p_p.markdown_text
goal = """ARM 01, 002
P254203
---
### metadata
Primary publication: ARM 01, 002
Author(s): Dossin, Georges
Publication date: 1946
Secondary publication(s): Durand, Jean-Marie, LAPO 16, 0306
Collection: National Museum of Syria, Damascus, Syria
Museum no.: NMSD —
Accession no.:
Provenience: Mari (mod. Tell Hariri)
Excavation no.:
Period: Old Babylonian (ca. 1900-1600 BC)
Dates referenced:
Object type: tablet
Remarks:
Material: clay
Language: Akkadian
Genre: Letter
Sub-genre:
CDLI comments:
Catalogue source: 20050104 cdliadmin
ATF source: cdlistaff
Translation:
UCLA Library ARK: 21198/zz001rsp9f
Composite no.:
Seal no.:
CDLI no.: P254203
### transliteration
a-na ia-ah-du-[li-im]
qi2-bi2-[ma]
um-ma a-bi-sa-mar-[ma]
asz-szum sza a-qa-bi-kum la ta-ha-asz2#
a-na ma-ni-im lu-ud-bu-ub
szum-ma a-na?-<ku> a-na a-bi-ia la ad#-[bu-ub]
szum-ma a-bi-sa-mar te-zi-ir#
u3 a-la#-ni#-ka te-zi-ir-ma#
i-na an-ni-a-tim sza a-da-bu-[bu]
a-na-ku mi-im-ma u2-ul e-le#-[i]
sza sza-ru-ti-ka u3 sza ra-pa#-[szi-ka e-pu-usz]
u3 lu-u2 sza sza-ru-ut-ka u2-ul te-le#-[i]
u3 lu-u2 sza ra-pa-szi-ka [te-ep-pe2-esz]
u3 lu ma-at ia-ma-ha-ad#{ki}
u3# lu# _u4 8(disz)-kam_ isz-tu [i-na-an-na]
um#-[...]
lu#-[...]
a-[...]
szum#-[...]
a-na# [...]
ma-li# [...]
u3 u2-hu-ur# [...]
a-su2-ur-ri [...]
szu-zi-ba-an#-[ni ...]
a-na [...]
pi2-qa-at ta-qa-ab#-[bi um-ma at-ta-a-ma]
{disz}a-bi-sa-mar u2-ul ma-ri u3 bi-ti a-na la bi-tu#-[tu-ur2-ma]
bi-tum bi-it-ka u3 {disz}a-bi#-[sa]-mar# ma-ru-ka-[ma]
### normalization
### translation
"""
self.assertEqual(output, goal)
def test_html_print_file(self):
"""
Tests html_print_file.
"""
cdli = CDLICorpus()
cdli.parse_file(SAMPLE_TEXT)
p_p = PrettyPrint()
p_p.html_print_file(cdli.catalog, os.path.join(os.path.dirname(__file__), 'html_file.html'))
f_o = FileImport(os.path.join(os.path.dirname(__file__), 'html_file.html'))
f_o.read_file()
output = f_o.raw_file
goal = \
"""<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>ARM 01, 001</title>
</head>
<body><table cellpadding="10"; border="1">
<tr><th>
<h2>ARM 01, 001<br>P254202</h2>
</th><th>
<h3>transliteration</h3>
</th><th>
<h3>normalization</h3>
</th><th>
<h3>translation</h3>
</tr><tr><td>
Primary publication: ARM 01, 001<br>
Author(s): Dossin, Georges<br>
Publication date: 1946<br>
Secondary publication(s): Durand, Jean-Marie, LAPO 16, 0305<br>
Collection: National Museum of Syria, Damascus, Syria<br>
Museum no.: NMSD —<br>
Accession no.:<br>
Provenience: Mari (mod. Tell Hariri)<br>
Excavation no.:<br>
Period: Old Babylonian (ca. 1900-1600 BC)<br>
Dates referenced:<br>
Object type: tablet<br>
Remarks:<br>
Material: clay<br>
Language: Akkadian<br>
Genre: Letter<br>
Sub-genre:<br>
CDLI comments:<br>
Catalogue source: 20050104 cdliadmin<br>
ATF source: cdlistaff<br>
Translation: Durand, Jean-Marie (fr); Guerra, Dylan M. (en)<br>
UCLA Library ARK: 21198/zz001rsp8x<br>
Composite no.:<br>
Seal no.:<br>
CDLI no.: P254202</td><td>
<p>a-na ia-ah-du-li-[im]<br>
qi2-bi2-[ma]<br>
um-ma a-bi-sa-mar#-[ma]<br>
sa-li-ma-am e-pu-[usz]<br>
asz-szum mu-sze-zi-ba-am# [la i-szu]<br>
[sa]-li#-ma-am sza e-[pu-szu]<br>
[u2-ul] e-pu-usz sa#-[li-mu-um]<br>
[u2-ul] sa-[li-mu-um-ma]<br>
isz#-tu mu#-[sze-zi-ba-am la i-szu]<br>
a-la-nu-ia sza la is,-s,a-ab#-[tu]<br>
i-na-an-na is,-s,a-ab-[tu]<br>
i-na ne2-kur-ti _lu2_ ha-szi-[im{ki}]<br>
ur-si-im{ki} _lu2_ ka-ar-ka#-[mi-is{ki}]<br>
u3 ia-am-ha-ad[{ki}]<br>
a-la-nu an-nu-tum u2-ul ih-li-qu2#<br>
i-na ne2-kur-ti {disz}sa-am-si-{d}iszkur#-ma<br>
ih-ta-al-qu2<br>
u3 a-la-nu sza ki-ma u2-hu-ru u2-sze-zi-ib#<br>
u3 na-pa-asz2-ti u2-ba-li-it,<br>
pi2-qa-at ha-s,e-ra#-at<br>
asz-szum a-la-nu-ka<br>
u3 ma-ru-ka sza-al#-[mu]<br>
[a-na na-pa]-asz2#-ti-ia i-tu-ur
</td><td>
<p>
</td><td>
<font size='2'>
</font></td></tr>
</table>
<br>
</body>
</html><!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>ARM 01, 002</title>
</head>
<body><table cellpadding="10"; border="1">
<tr><th>
<h2>ARM 01, 002<br>P254203</h2>
</th><th>
<h3>transliteration</h3>
</th><th>
<h3>normalization</h3>
</th><th>
<h3>translation</h3>
</tr><tr><td>
Primary publication: ARM 01, 002<br>
Author(s): Dossin, Georges<br>
Publication date: 1946<br>
Secondary publication(s): Durand, Jean-Marie, LAPO 16, 0306<br>
Collection: National Museum of Syria, Damascus, Syria<br>
Museum no.: NMSD —<br>
Accession no.:<br>
Provenience: Mari (mod. Tell Hariri)<br>
Excavation no.:<br>
Period: Old Babylonian (ca. 1900-1600 BC)<br>
Dates referenced:<br>
Object type: tablet<br>
Remarks:<br>
Material: clay<br>
Language: Akkadian<br>
Genre: Letter<br>
Sub-genre:<br>
CDLI comments:<br>
Catalogue source: 20050104 cdliadmin<br>
ATF source: cdlistaff<br>
Translation:<br>
UCLA Library ARK: 21198/zz001rsp9f<br>
Composite no.:<br>
Seal no.:<br>
CDLI no.: P254203</td><td>
<p>a-na ia-ah-du-[li-im]<br>
qi2-bi2-[ma]<br>
um-ma a-bi-sa-mar-[ma]<br>
asz-szum sza a-qa-bi-kum la ta-ha-asz2#<br>
a-na ma-ni-im lu-ud-bu-ub<br>
szum-ma a-na?-<ku> a-na a-bi-ia la ad#-[bu-ub]<br>
szum-ma a-bi-sa-mar te-zi-ir#<br>
u3 a-la#-ni#-ka te-zi-ir-ma#<br>
i-na an-ni-a-tim sza a-da-bu-[bu]<br>
a-na-ku mi-im-ma u2-ul e-le#-[i]<br>
sza sza-ru-ti-ka u3 sza ra-pa#-[szi-ka e-pu-usz]<br>
u3 lu-u2 sza sza-ru-ut-ka u2-ul te-le#-[i]<br>
u3 lu-u2 sza ra-pa-szi-ka [te-ep-pe2-esz]<br>
u3 lu ma-at ia-ma-ha-ad#{ki}<br>
u3# lu# _u4 8(disz)-kam_ isz-tu [i-na-an-na]<br>
um#-[...]<br>
lu#-[...]<br>
a-[...]<br>
szum#-[...]<br>
a-na# [...]<br>
ma-li# [...]<br>
u3 u2-hu-ur# [...]<br>
a-su2-ur-ri [...]<br>
szu-zi-ba-an#-[ni ...]<br>
a-na [...]<br>
pi2-qa-at ta-qa-ab#-[bi um-ma at-ta-a-ma]<br>
{disz}a-bi-sa-mar u2-ul ma-ri u3 bi-ti a-na la bi-tu#-[tu-ur2-ma]<br>
bi-tum bi-it-ka u3 {disz}a-bi#-[sa]-mar# ma-ru-ka-[ma]
</td><td>
<p>
</td><td>
<font size='2'>
</font></td></tr>
</table>
<br>
</body>
</html>"""
self.assertEqual(output, goal)
def test_html_print_single_text(self):
"""
Tests html_print_single_text.
"""
cdli = CDLICorpus()
cdli.parse_file(SAMPLE_TEXT)
p_p = PrettyPrint()
p_p.html_print_single_text(cdli.catalog, 'P500444', os.path.join(os.path.dirname(__file__),
'html_single_text.html'))
f_o = FileImport(os.path.join(os.path.dirname(__file__), 'html_single_text.html'))
f_o.read_file()
output = f_o.raw_file
goal = \
"""<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>NABU 2017/015</title>
</head>
<body><table cellpadding="10"; border="1">
<tr><th>
<h2>NABU 2017/015<br>P500444</h2>
</th><th>
<h3>transliteration</h3>
</th><th>
<h3>normalization</h3>
</th><th>
<h3>translation</h3>
</tr><tr><td>
</td><td>
<p>a-na {d}nin-urta<br>
be-li2 ra-bi-i<br>
be-li2-szu<br>
ka-dasz2-man-{d}en-lil2<br>
_lugal_ babila2{ki}<br>
_dumu_ ka-dasz2-man-tur2-gu _lugal_<br>
a-na szu-ru-uk _bala_-szu<br>
i-qi2-isz
</td><td>
<p>ana ninurta<br>
bēli rabî<br>
bēlišu<br>
kadašman-enlil<br>
šar bābili<br>
mār kadašman-turgu šarri<br>
ana šūruk palîšu<br>
iqīš
</td><td>
<font size='2'>
For Ninurta,<br>
the great lord,<br>
his lord,<br>
did Kadašman-Enlil,<br>
king of Babylon,<br>
son of Kadašman-Turgu, the king,<br>
for the lengthening of his reign<br>
offer (this seal).
</font></td></tr>
</table>
<br>
</body>
</html>"""
self.assertEqual(output, goal)
if __name__ == '__main__':
unittest.main()
| 39.036463 | 100 | 0.444551 | 5,941 | 42,823 | 3.161757 | 0.082646 | 0.013575 | 0.010647 | 0.017036 | 0.83981 | 0.823999 | 0.809093 | 0.797966 | 0.774808 | 0.760275 | 0 | 0.050578 | 0.35962 | 42,823 | 1,096 | 101 | 39.07208 | 0.63403 | 0.017934 | 0 | 0.737235 | 0 | 0.122042 | 0.483346 | 0.018297 | 0 | 0 | 0 | 0 | 0.023661 | 1 | 0.023661 | false | 0 | 0.014944 | 0 | 0.041096 | 0.011208 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
1373cf6a90b58826d58073631d1b7d65da258441 | 764 | py | Python | argchecker/__init__.py | wenbobuaa/pykit | 43e38fe40297a1e7a9329bcf3db3554c7ca48ead | [
"MIT"
] | 13 | 2016-12-16T09:23:09.000Z | 2018-03-10T08:04:00.000Z | argchecker/__init__.py | wenbobuaa/pykit | 43e38fe40297a1e7a9329bcf3db3554c7ca48ead | [
"MIT"
] | 74 | 2017-03-23T11:36:22.000Z | 2018-04-02T06:19:09.000Z | argchecker/__init__.py | drmingdrmer/pykit | e25a71146e81aaf79625cf8d4f4c439ccd515b82 | [
"MIT"
] | 5 | 2016-12-27T07:30:47.000Z | 2018-03-10T07:06:21.000Z | from .checker import (
InvalidArgumentError,
InvalidLengthError,
InvalidSchemaError,
InvalidTypeError,
InvalidValueError,
LackArgumentError,
NotInEnumError,
OutOfRangeError,
PatternNotMatchError,
SchemaCheckerError,
SchemaNotFoundError,
UnexpectedArgumentError,
check_arguments,
read_schema,
validate_schema,
)
__all__ = [
"InvalidArgumentError",
"InvalidLengthError",
"InvalidSchemaError",
"InvalidTypeError",
"InvalidValueError",
"LackArgumentError",
"NotInEnumError",
"OutOfRangeError",
"PatternNotMatchError",
"SchemaCheckerError",
"SchemaNotFoundError",
"UnexpectedArgumentError",
"check_arguments",
"read_schema",
"validate_schema",
]
| 20.105263 | 30 | 0.701571 | 40 | 764 | 13.15 | 0.525 | 0.144487 | 0.212928 | 0.273764 | 0.961977 | 0.961977 | 0.961977 | 0.961977 | 0.961977 | 0.961977 | 0 | 0 | 0.212042 | 764 | 37 | 31 | 20.648649 | 0.873754 | 0 | 0 | 0 | 0 | 0 | 0.335079 | 0.030105 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.029412 | 0 | 0.029412 | 0 | 0 | 0 | 1 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
137ef24c86ce568a10ca0c08c2cd927474ea2eeb | 10,544 | py | Python | monitor/filegenerator.py | darkwizard242/sys-mon | 9b46758ca6ed6384bcb3c6c0ecb19336ba1759ef | [
"BSD-2-Clause"
] | 1 | 2018-10-09T05:10:27.000Z | 2018-10-09T05:10:27.000Z | monitor/filegenerator.py | darkwizard242/sys-mon | 9b46758ca6ed6384bcb3c6c0ecb19336ba1759ef | [
"BSD-2-Clause"
] | null | null | null | monitor/filegenerator.py | darkwizard242/sys-mon | 9b46758ca6ed6384bcb3c6c0ecb19336ba1759ef | [
"BSD-2-Clause"
] | null | null | null | #! /usr/bin/env python3
import datetime
import os
import monitor.varslist as v
import monitor.archiver as arch
def fetch_time():
"""
This function imports the current time details for both date and time.
strftime() method from datetime module allows displaying the date & time in string format.
strftime()strings Meaning
%Y YEAR will be displayed as the century i.e. '2018'
%y YEAR will be displayed without the century i.e. '18'
%m MONTH will be displayed as decimal number from '01' to '12'
%B MONTH will be displayed with full name i.e. 'August'
%b MONTH will be displayed in abbreviated form i.e. 'Aug'
%d DAY of the MONTH will be displayed in numeric form i.e. from '01' to '31'
%j DAY of the YEAR will be displayed in numeric form i.e. from '001' to '366'
%w DAY of the WEEK will be displayed in numeric form i.e. from '0'(Sunday) to '6'(Saturday).
%A DAY of the WEEK will be displayed in alphabetic form i.e. 'Sunday'
%a DAY of the WEEK will be displayed in abbreviated form i.e. 'Sun'
%H HOUR will be displayed in 24 hours clock numeric form i.e. '00' to '23'.
%I HOUR will be displayed in 12 hours clock numeric form i.e. '01' to '12'.
%M MINUTES will be displayed in numeric form i.e. '00' to '59'.
%S SECONDS will be displayed in numeric form i.e. '00' to '59'.
%p HOUR MERIDIEM will be displayed in alphabetic form i.e. 'AM' or 'PM'.
For both date and time outputs, format can be re-arranged by modifying the custom string.
Date can be printed in numerical or alphanumerics values.
Day is printed with an alphabetical value.
Time is also printed in numeric format starting with HOUR:MINUTES:SECONDS
:return: str
"""
def win_folder():
"""
IF Statement verifies whether the directory specified against variable 'win_dir' exists or not.
IF exists, then generate a couple of print statements.
use of os functions for opening (or creating a file if it doesn't exist) based on the value of
v.win_report_file_explicit.
Prints the threshold limit set by the user.
Prints the current RAM limit i.e. the exceeded limit.
Nested IF/ELSE verifies what the data measurement type variable's value is & depending on that performs the
following:
1. Prints Total RAM.
2. Prints Current Used RAM.
3. Prints Current Free RAM.
Else, creates the directory and then generates a couple of print statements followed by the following actions:
use of os functions for opening (or creating a file if it doesn't exist) based on the value of
v.win_report_file_explicit.
Prints the threshold limit set by the user.
Prints the current RAM limit i.e. the exceeded limit.
Nested IF/ELSE verifies what the data measurement type variable's value is & depending on that performs the
following:
1. Prints Total RAM.
2. Prints Current Used RAM.
3. Prints Current Free RAM.
:return:
"""
if os.path.exists(v.win_dir):
print('Directory where reports are generated already exists. No new directory will be created.')
print('Report Generation directory path is: ' + v.win_dir)
print('Generated Report file is: ' + str(v.win_report_file_explicit))
thewriter = open(v.win_report_file, 'a')
thewriter.write(v.incident_record)
thewriter.write('\nDirectory is: ' + v.win_dir)
thewriter.write('\nIncident Date: ' + v.d_date_report_input)
thewriter.write('\nIncident Time of record: ' + v.d_time_report_input)
thewriter.write('\nRAM usage has exceeded the specified threshold, which is: ' + str(v.threshold) + '%')
thewriter.write('\nExceeded RAM record usage is: ' + str(v.ram_percentage) + '%')
if v.data_measure == v.kilobyte:
thewriter.write('\nTotal RAM is: ' + str(v.memory_kb_total) + ' KBs')
thewriter.write('\nUsed RAM recorded: ' + str(v.memory_kb_used) + ' KBs')
thewriter.write('\nFree RAM recorded: ' + str(v.memory_kb_free) + ' KBs')
elif v.data_measure == v.megabyte:
thewriter.write('\nTotal RAM is: ' + str(v.memory_mb_total) + ' MBs')
thewriter.write('\nUsed RAM recorded: ' + str(v.memory_mb_used) + ' MBs')
thewriter.write('\nFree RAM recorded: ' + str(v.memory_mb_free) + ' MBs')
elif v.data_measure == v.gigabyte:
thewriter.write('\nTotal RAM is: ' + str(v.memory_gb_total) + ' GBs')
thewriter.write('\nUsed RAM recorded: ' + str(v.memory_gb_used) + ' GBs')
thewriter.write('\nFree RAM recorded: ' + str(v.memory_gb_free) + ' GBs')
else:
print("Please correct the data_measurement variable value in varslist.")
else:
print('Directory where reports are generated does not exist and will now be created.')
os.makedirs(v.win_dir, exist_ok=True)
print('Report Generation directory has been created on: ' + v.win_dir)
print('Generated Report file is: ' + str(v.win_report_file_explicit))
thewriter = open(v.win_report_file, 'a')
thewriter.write(v.incident_record)
thewriter.write('\nDirectory is: ' + v.win_dir)
thewriter.write('\nIncident Date: ' + v.d_date_report_input)
thewriter.write('\nIncident Time of record: ' + v.d_time_report_input)
thewriter.write('\nRAM usage has exceeded the specified threshold, which is: ' + str(v.threshold) + '%')
thewriter.write('\nExceeded RAM record usage is: ' + str(v.ram_percentage) + '%')
if v.data_measure == v.kilobyte:
thewriter.write('\nTotal RAM is: ' + str(v.memory_kb_total) + ' KBs')
thewriter.write('\nUsed RAM recorded: ' + str(v.memory_kb_used) + ' KBs')
thewriter.write('\nFree RAM recorded: ' + str(v.memory_kb_free) + ' KBs')
elif v.data_measure == v.megabyte:
thewriter.write('\nTotal RAM is: ' + str(v.memory_mb_total) + ' MBs')
thewriter.write('\nUsed RAM recorded: ' + str(v.memory_mb_used) + ' MBs')
thewriter.write('\nFree RAM recorded: ' + str(v.memory_mb_free) + ' MBs')
elif v.data_measure == v.gigabyte:
thewriter.write('\nTotal RAM is: ' + str(v.memory_gb_total) + ' GBs')
thewriter.write('\nUsed RAM recorded: ' + str(v.memory_gb_used) + ' GBs')
thewriter.write('\nFree RAM recorded: ' + str(v.memory_gb_free) + ' GBs')
else:
print("Please correct the data_measurement variable value in varslist.")
def linux_folder():
if os.path.exists(v.nix_dir):
print('Directory where reports are generated already exists. No new directory will be created.')
print('Report Generation directory path is: ' + v.nix_dir)
print('Generated Report file is: ' + str(v.nix_report_file_explicit))
thewriter = open(v.nix_report_file, 'a')
thewriter.write(v.incident_record)
thewriter.write('\nDirectory is: ' + v.nix_dir)
thewriter.write('\nIncident Date: ' + v.d_date_report_input)
thewriter.write('\nIncident Time of record: ' + v.d_time_report_input)
thewriter.write('\nRAM usage has exceeded the specified threshold, which is: ' + str(v.threshold) + '%')
thewriter.write('\nExceeded RAM record usage is: ' + str(v.ram_percentage) + '%')
if v.data_measure == v.kilobyte:
thewriter.write('\nTotal RAM is: ' + str(v.memory_kb_total) + ' KBs')
thewriter.write('\nUsed RAM recorded: ' + str(v.memory_kb_used) + ' KBs')
thewriter.write('\nFree RAM recorded: ' + str(v.memory_kb_free) + ' KBs')
elif v.data_measure == v.megabyte:
thewriter.write('\nTotal RAM is: ' + str(v.memory_mb_total) + ' MBs')
thewriter.write('\nUsed RAM recorded: ' + str(v.memory_mb_used) + ' MBs')
thewriter.write('\nFree RAM recorded: ' + str(v.memory_mb_free) + ' MBs')
elif v.data_measure == v.gigabyte:
thewriter.write('\nTotal RAM is: ' + str(v.memory_gb_total) + ' GBs')
thewriter.write('\nUsed RAM recorded: ' + str(v.memory_gb_used) + ' GBs')
thewriter.write('\nFree RAM recorded: ' + str(v.memory_gb_free) + ' GBs')
else:
print("Please correct the data_measurement variable value in varslist.")
else:
print('Directory where reports are generated does not exist and will now be created.')
os.makedirs(v.nix_dir, exist_ok=True)
print('Report Generation directory has been created on: ' + v.nix_dir)
print('Generated Report file is: ' + str(v.nix_report_file_explicit))
thewriter = open(v.nix_report_file, 'a')
thewriter.write(v.incident_record)
thewriter.write('\nDirectory is: ' + v.nix_dir)
thewriter.write('\nIncident Date: ' + v.d_date_report_input)
thewriter.write('\nIncident Time of record: ' + v.d_time_report_input)
thewriter.write('\nRAM usage has exceeded the specified threshold, which is: ' + str(v.threshold) + '%')
thewriter.write('\nExceeded RAM record usage is: ' + str(v.ram_percentage) + '%')
if v.data_measure == v.kilobyte:
thewriter.write('\nTotal RAM is: ' + str(v.memory_kb_total) + ' KBs')
thewriter.write('\nUsed RAM recorded: ' + str(v.memory_kb_used) + ' KBs')
thewriter.write('\nFree RAM recorded: ' + str(v.memory_kb_free) + ' KBs')
elif v.data_measure == v.megabyte:
thewriter.write('\nTotal RAM is: ' + str(v.memory_mb_total) + ' MBs')
thewriter.write('\nUsed RAM recorded: ' + str(v.memory_mb_used) + ' MBs')
thewriter.write('\nFree RAM recorded: ' + str(v.memory_mb_free) + ' MBs')
elif v.data_measure == v.gigabyte:
thewriter.write('\nTotal RAM is: ' + str(v.memory_gb_total) + ' GBs')
thewriter.write('\nUsed RAM recorded: ' + str(v.memory_gb_used) + ' GBs')
thewriter.write('\nFree RAM recorded: ' + str(v.memory_gb_free) + ' GBs')
else:
print("Please correct the data_measurement variable value in varslist.")
| 58.577778 | 117 | 0.625759 | 1,443 | 10,544 | 4.458766 | 0.154539 | 0.130556 | 0.055953 | 0.055953 | 0.863848 | 0.828412 | 0.82064 | 0.82064 | 0.803233 | 0.778054 | 0 | 0.00631 | 0.263467 | 10,544 | 179 | 118 | 58.905028 | 0.822174 | 0.289169 | 0 | 0.862385 | 0 | 0 | 0.317608 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027523 | false | 0 | 0.036697 | 0 | 0.06422 | 0.146789 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
13986363666858f575aacab56216c765eed586c7 | 10,509 | py | Python | tests/unit/modules/linux_acl_test.py | preoctopus/salt | aceaaa0e2f2f2ff29a694393bd82bba0d88fa44d | [
"Apache-2.0"
] | 3 | 2015-04-16T18:42:35.000Z | 2017-10-30T16:57:49.000Z | tests/unit/modules/linux_acl_test.py | preoctopus/salt | aceaaa0e2f2f2ff29a694393bd82bba0d88fa44d | [
"Apache-2.0"
] | 16 | 2015-11-18T00:44:03.000Z | 2018-10-29T20:48:27.000Z | tests/unit/modules/linux_acl_test.py | preoctopus/salt | aceaaa0e2f2f2ff29a694393bd82bba0d88fa44d | [
"Apache-2.0"
] | 1 | 2019-08-01T15:14:19.000Z | 2019-08-01T15:14:19.000Z | # -*- coding: utf-8 -*-
# Import Pytohn libs
from __future__ import absolute_import
# Import Salt Testing libs
from salttesting import skipIf, TestCase
from salttesting.helpers import ensure_in_syspath
from salttesting.mock import NO_MOCK, NO_MOCK_REASON, MagicMock
ensure_in_syspath('../../')
# Import salt libs
from salt.modules import linux_acl
from salt.exceptions import CommandExecutionError
@skipIf(NO_MOCK, NO_MOCK_REASON)
class LinuxAclTestCase(TestCase):
def setUp(self):
linux_acl.__salt__ = {'cmd.run': MagicMock()}
self.cmdrun = linux_acl.__salt__['cmd.run']
self.file = '/tmp/file'
self.files = ['/tmp/file1', '/tmp/file2']
self.u_acl = ['u', 'myuser', 'rwx']
self.user_acl = ['user', 'myuser', 'rwx']
self.user_acl_cmd = 'u:myuser:rwx'
self.g_acl = ['g', 'mygroup', 'rwx']
self.group_acl = ['group', 'mygroup', 'rwx']
self.group_acl_cmd = 'g:mygroup:rwx'
self.d_u_acl = ['d:u', 'myuser', 'rwx']
self.d_user_acl = ['d:user', 'myuser', 'rwx']
self.default_user_acl = ['d:user', 'myuser', 'rwx']
self.default_user_acl_cmd = 'd:u:myuser:rwx'
# too easy to test (DRY)
def test_version(self):
pass
def test_getfacl_wo_args(self):
self.assertRaises(CommandExecutionError, linux_acl.getfacl)
def test_getfacl_w_single_arg(self):
linux_acl.getfacl(self.file)
self.cmdrun.assert_called_once_with('getfacl --absolute-names ' + self.file, python_shell=False)
def test_getfacl_w_multiple_args(self):
linux_acl.getfacl(*self.files)
self.cmdrun.assert_called_once_with('getfacl --absolute-names ' + ' '.join(self.files), python_shell=False)
def test_getfacl__recursive_w_multiple_args(self):
linux_acl.getfacl(*self.files, recursive=True)
self.cmdrun.assert_called_once_with('getfacl --absolute-names -R ' + ' '.join(self.files), python_shell=False)
def test_wipefacls_wo_args(self):
self.assertRaises(CommandExecutionError, linux_acl.wipefacls)
def test_wipefacls_w_single_arg(self):
linux_acl.wipefacls(self.file)
self.cmdrun.assert_called_once_with('setfacl -b ' + self.file, python_shell=False)
def test_wipefacls_w_multiple_args(self):
linux_acl.wipefacls(*self.files)
self.cmdrun.assert_called_once_with('setfacl -b ' + ' '.join(self.files), python_shell=False)
def test_wipefacls__recursive_w_multiple_args(self):
linux_acl.wipefacls(*self.files, recursive=True)
self.cmdrun.assert_called_once_with('setfacl -b -R ' + ' '.join(self.files), python_shell=False)
def test_modfacl_wo_args(self):
for acl in [self.u_acl, self.user_acl, self.g_acl, self.group_acl]:
self.assertRaises(CommandExecutionError, linux_acl.modfacl, *acl)
def test_modfacl__u_w_single_arg(self):
linux_acl.modfacl(*(self.u_acl + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.user_acl_cmd, self.file]), python_shell=False)
def test_modfacl__u_w_multiple_args(self):
linux_acl.modfacl(*(self.u_acl + self.files))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.user_acl_cmd] + self.files), python_shell=False)
def test_modfacl__user_w_single_arg(self):
linux_acl.modfacl(*(self.user_acl + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.user_acl_cmd, self.file]), python_shell=False)
def test_modfacl__user_w_multiple_args(self):
linux_acl.modfacl(*(self.user_acl + self.files))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.user_acl_cmd] + self.files), python_shell=False)
def test_modfacl__g_w_single_arg(self):
linux_acl.modfacl(*(self.g_acl + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.group_acl_cmd, self.file]), python_shell=False)
def test_modfacl__g_w_multiple_args(self):
linux_acl.modfacl(*(self.g_acl + self.files))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.group_acl_cmd] + self.files), python_shell=False)
def test_modfacl__group_w_single_arg(self):
linux_acl.modfacl(*(self.group_acl + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.group_acl_cmd, self.file]), python_shell=False)
def test_modfacl__group_w_multiple_args(self):
linux_acl.modfacl(*(self.group_acl + self.files))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.group_acl_cmd] + self.files), python_shell=False)
def test_modfacl__d_u_w_single_arg(self):
linux_acl.modfacl(*(self.d_u_acl + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.default_user_acl_cmd, self.file]), python_shell=False)
def test_modfacl__d_u_w_multiple_args(self):
linux_acl.modfacl(*(self.d_u_acl + self.files))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.default_user_acl_cmd] + self.files), python_shell=False)
def test_modfacl__d_user_w_single_arg(self):
linux_acl.modfacl(*(self.d_user_acl + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.default_user_acl_cmd, self.file]), python_shell=False)
def test_modfacl__d_user_w_multiple_args(self):
linux_acl.modfacl(*(self.d_user_acl + self.files))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.default_user_acl_cmd] + self.files), python_shell=False)
def test_modfacl__default_user_w_single_arg(self):
linux_acl.modfacl(*(self.default_user_acl + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.default_user_acl_cmd, self.file]), python_shell=False)
def test_modfacl__default_user_w_multiple_args(self):
linux_acl.modfacl(*(self.default_user_acl + self.files))
self.cmdrun.assert_called_once_with('setfacl -m ' + ' '.join([self.default_user_acl_cmd] + self.files), python_shell=False)
def test_modfacl__recursive_w_multiple_args(self):
linux_acl.modfacl(*(self.user_acl + self.files), recursive=True)
self.cmdrun.assert_called_once_with('setfacl -R -m ' + ' '.join([self.user_acl_cmd] + self.files), python_shell=False)
def test_delfacl_wo_args(self):
for acl in [self.u_acl, self.user_acl, self.g_acl, self.group_acl]:
self.assertRaises(CommandExecutionError, linux_acl.delfacl, *acl[:-1])
def test_delfacl__u_w_single_arg(self):
linux_acl.delfacl(*(self.u_acl[:-1] + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.user_acl_cmd.rpartition(':')[0], self.file]), python_shell=False)
def test_delfacl__u_w_multiple_args(self):
linux_acl.delfacl(*(self.u_acl[:-1] + self.files))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.user_acl_cmd.rpartition(':')[0]] + self.files), python_shell=False)
def test_delfacl__user_w_single_arg(self):
linux_acl.delfacl(*(self.user_acl[:-1] + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.user_acl_cmd.rpartition(':')[0], self.file]), python_shell=False)
def test_delfacl__user_w_multiple_args(self):
linux_acl.delfacl(*(self.user_acl[:-1] + self.files))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.user_acl_cmd.rpartition(':')[0]] + self.files), python_shell=False)
def test_delfacl__g_w_single_arg(self):
linux_acl.delfacl(*(self.g_acl[:-1] + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.group_acl_cmd.rpartition(':')[0], self.file]), python_shell=False)
def test_delfacl__g_w_multiple_args(self):
linux_acl.delfacl(*(self.g_acl[:-1] + self.files))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.group_acl_cmd.rpartition(':')[0]] + self.files), python_shell=False)
def test_delfacl__group_w_single_arg(self):
linux_acl.delfacl(*(self.group_acl[:-1] + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.group_acl_cmd.rpartition(':')[0], self.file]), python_shell=False)
def test_delfacl__group_w_multiple_args(self):
linux_acl.delfacl(*(self.group_acl[:-1] + self.files))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.group_acl_cmd.rpartition(':')[0]] + self.files), python_shell=False)
def test_delfacl__d_u_w_single_arg(self):
linux_acl.delfacl(*(self.d_u_acl[:-1] + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.default_user_acl_cmd.rpartition(':')[0], self.file]), python_shell=False)
def test_delfacl__d_u_w_multiple_args(self):
linux_acl.delfacl(*(self.d_u_acl[:-1] + self.files))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.default_user_acl_cmd.rpartition(':')[0]] + self.files), python_shell=False)
def test_delfacl__d_user_w_single_arg(self):
linux_acl.delfacl(*(self.d_user_acl[:-1] + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.default_user_acl_cmd.rpartition(':')[0], self.file]), python_shell=False)
def test_delfacl__d_user_w_multiple_args(self):
linux_acl.delfacl(*(self.d_user_acl[:-1] + self.files))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.default_user_acl_cmd.rpartition(':')[0]] + self.files), python_shell=False)
def test_delfacl__default_user_w_single_arg(self):
linux_acl.delfacl(*(self.default_user_acl[:-1] + [self.file]))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.default_user_acl_cmd.rpartition(':')[0], self.file]), python_shell=False)
def test_delfacl__default_user_w_multiple_args(self):
linux_acl.delfacl(*(self.default_user_acl[:-1] + self.files))
self.cmdrun.assert_called_once_with('setfacl -x ' + ' '.join([self.default_user_acl_cmd.rpartition(':')[0]] + self.files), python_shell=False)
def test_delfacl__recursive_w_multiple_args(self):
linux_acl.delfacl(*(self.default_user_acl[:-1] + self.files), recursive=True)
self.cmdrun.assert_called_once_with('setfacl -x -R ' + ' '.join([self.default_user_acl_cmd.rpartition(':')[0]] + self.files), python_shell=False)
| 53.345178 | 153 | 0.699305 | 1,525 | 10,509 | 4.436066 | 0.057049 | 0.05085 | 0.065632 | 0.117073 | 0.909978 | 0.87997 | 0.870067 | 0.85558 | 0.797635 | 0.621877 | 0 | 0.003814 | 0.15168 | 10,509 | 196 | 154 | 53.617347 | 0.75502 | 0.009991 | 0 | 0.208333 | 0 | 0 | 0.065205 | 0 | 0 | 0 | 0 | 0 | 0.277778 | 1 | 0.291667 | false | 0.006944 | 0.041667 | 0 | 0.340278 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
139d0632deaffcd4e836660b38d1d31d51813764 | 7,086 | py | Python | src/backend/aspen/app/views/tests/test_phylo_runs.py | chanzuckerberg/covidr | afe05d703d30ec18ac83944bfb551c313cb216c4 | [
"MIT"
] | 2 | 2021-01-13T18:37:20.000Z | 2021-01-16T02:17:38.000Z | src/backend/aspen/app/views/tests/test_phylo_runs.py | chanzuckerberg/covidr | afe05d703d30ec18ac83944bfb551c313cb216c4 | [
"MIT"
] | 16 | 2021-01-14T20:21:13.000Z | 2021-01-29T22:23:13.000Z | src/backend/aspen/app/views/tests/test_phylo_runs.py | chanzuckerberg/covidr | afe05d703d30ec18ac83944bfb551c313cb216c4 | [
"MIT"
] | null | null | null | from aspen.test_infra.models.gisaid_metadata import gisaid_metadata_factory
from aspen.test_infra.models.sample import sample_factory
from aspen.test_infra.models.sequences import uploaded_pathogen_genome_factory
from aspen.test_infra.models.usergroup import group_factory, user_factory
from aspen.test_infra.models.workflow import aligned_gisaid_dump_factory
def test_create_phylo_run(
session,
app,
client,
):
"""
Test phylo tree creation, local-only samples.
"""
group = group_factory()
user = user_factory(group)
sample = sample_factory(group, user)
gisaid_dump = aligned_gisaid_dump_factory()
uploaded_pathogen_genome_factory(sample, sequence="ATGCAAAAAA")
session.add(group)
session.add(gisaid_dump)
session.commit()
with client.session_transaction() as sess:
sess["profile"] = {"name": user.name, "user_id": user.auth0_user_id}
data = {
"name": "test phylorun",
"tree_type": "targeted",
"samples": [sample.public_identifier],
}
res = client.post("/api/phylo_runs", json=data)
assert res.status == "200 OK"
response = res.json
template_args = response["template_args"]
assert template_args["division"] == group.division
assert template_args["location"] == group.location
assert "targeted.yaml" in response["template_file_path"]
assert response["workflow_status"] == "STARTED"
assert response["group"]["name"] == group.name
assert "id" in response
def test_create_phylo_run_with_gisaid_ids(
session,
app,
client,
):
"""
Test phylo tree creation that includes a reference to a GISAID sequence.
"""
group = group_factory()
user = user_factory(group)
sample = sample_factory(group, user)
uploaded_pathogen_genome_factory(sample, sequence="ATGCAAAAAA")
gisaid_dump = aligned_gisaid_dump_factory()
gisaid_sample = gisaid_metadata_factory()
session.add(group)
session.add(gisaid_dump)
session.add(gisaid_sample)
session.commit()
with client.session_transaction() as sess:
sess["profile"] = {"name": user.name, "user_id": user.auth0_user_id}
data = {
"name": "test phylorun",
"tree_type": "non_contextualized",
"samples": [sample.public_identifier, gisaid_sample.strain],
}
res = client.post("/api/phylo_runs", json=data)
assert res.status == "200 OK"
response = res.json
template_args = response["template_args"]
assert template_args["division"] == group.division
assert template_args["location"] == group.location
assert "non_contextualized.yaml" in response["template_file_path"]
assert response["workflow_status"] == "STARTED"
assert response["group"]["name"] == group.name
assert "id" in response
def test_create_invalid_phylo_run_name(
session,
app,
client,
):
"""
Test a phylo tree run request with a bad tree name.
"""
group = group_factory()
user = user_factory(group)
sample = sample_factory(group, user)
gisaid_dump = aligned_gisaid_dump_factory()
uploaded_pathogen_genome_factory(sample, sequence="ATGCAAAAAA")
session.add(group)
session.add(gisaid_dump)
session.commit()
with client.session_transaction() as sess:
sess["profile"] = {"name": user.name, "user_id": user.auth0_user_id}
data = {
"name": 3.1415926535,
"tree_type": "targeted",
"samples": [sample.public_identifier],
}
res = client.post("/api/phylo_runs", json=data)
assert res.status == "400 BAD REQUEST"
def test_create_invalid_phylo_run_tree_type(
session,
app,
client,
):
"""
Test a phylo tree run request with a bad tree type.
"""
group = group_factory()
user = user_factory(group)
sample = sample_factory(group, user)
gisaid_dump = aligned_gisaid_dump_factory()
uploaded_pathogen_genome_factory(sample, sequence="ATGCAAAAAA")
session.add(group)
session.add(gisaid_dump)
session.commit()
with client.session_transaction() as sess:
sess["profile"] = {"name": user.name, "user_id": user.auth0_user_id}
data = {
"name": "test phylorun",
"tree_type": "global",
"samples": [sample.public_identifier],
}
res = client.post("/api/phylo_runs", json=data)
assert res.status == "400 BAD REQUEST"
def test_create_invalid_phylo_run_bad_sample_id(
session,
app,
client,
):
"""
Test a phylo tree run request with a bad sample id.
"""
group = group_factory()
user = user_factory(group)
sample = sample_factory(group, user)
gisaid_dump = aligned_gisaid_dump_factory()
uploaded_pathogen_genome_factory(sample, sequence="ATGCAAAAAA")
session.add(group)
session.add(gisaid_dump)
session.commit()
with client.session_transaction() as sess:
sess["profile"] = {"name": user.name, "user_id": user.auth0_user_id}
data = {
"name": "test phylorun",
"tree_type": "non_contextualized",
"samples": [sample.public_identifier, "bad_sample_identifier"],
}
res = client.post("/api/phylo_runs", json=data)
assert res.status == "400 BAD REQUEST"
def test_create_invalid_phylo_run_sample_cannot_see(
session,
app,
client,
):
"""
Test a phylo tree run request with a sample a group should not have access to.
"""
group = group_factory()
user = user_factory(group)
sample = sample_factory(group, user)
group2 = group_factory(name="The Other Group")
user2 = user_factory(
group2, email="test_user@othergroup.org", auth0_user_id="other_test_auth0_id"
)
sample2 = sample_factory(group2, user2, public_identifier="USA/OTHER/123456")
gisaid_dump = aligned_gisaid_dump_factory()
uploaded_pathogen_genome_factory(sample, sequence="ATGCAAAAAA")
session.add(group)
session.add(group2)
session.add(gisaid_dump)
session.commit()
with client.session_transaction() as sess:
sess["profile"] = {"name": user.name, "user_id": user.auth0_user_id}
data = {
"name": "test phylorun",
"tree_type": "non_contextualized",
"samples": [sample.public_identifier, sample2.public_identifier],
}
res = client.post("/api/phylo_runs", json=data)
assert res.status == "400 BAD REQUEST"
def test_create_phylo_run_unauthorized_access_redirect(
session,
app,
client,
):
"""
Test a request from an outside, unauthorized source.
"""
group = group_factory()
user = user_factory(group)
sample = sample_factory(group, user)
gisaid_dump = aligned_gisaid_dump_factory()
uploaded_pathogen_genome_factory(sample, sequence="ATGCAAAAAA")
session.add(group)
session.add(gisaid_dump)
session.commit()
data = {
"name": "test phylorun",
"tree_type": "non_contextualized",
"samples": [sample.public_identifier],
}
res = client.post("/api/phylo_runs", json=data)
assert res.status == "302 FOUND"
assert "/login" in res.location
| 31.078947 | 85 | 0.679227 | 866 | 7,086 | 5.308314 | 0.125866 | 0.047857 | 0.038286 | 0.050468 | 0.845551 | 0.827714 | 0.79008 | 0.762454 | 0.753317 | 0.753317 | 0 | 0.009568 | 0.2035 | 7,086 | 227 | 86 | 31.215859 | 0.804926 | 0.057296 | 0 | 0.802198 | 0 | 0 | 0.148007 | 0.010344 | 0 | 0 | 0 | 0 | 0.10989 | 1 | 0.038462 | false | 0 | 0.027473 | 0 | 0.065934 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
b92955bb7ca8af6382f548f31c18496a7fb3fbc6 | 20,333 | py | Python | dfirtrack_main/tests/note/test_note_views.py | stuhli/dfirtrack | 9260c91e4367b36d4cb1ae7efe4e2d2452f58e6e | [
"Apache-2.0"
] | 273 | 2018-04-18T22:09:15.000Z | 2021-06-04T09:15:48.000Z | dfirtrack_main/tests/note/test_note_views.py | stuhli/dfirtrack | 9260c91e4367b36d4cb1ae7efe4e2d2452f58e6e | [
"Apache-2.0"
] | 75 | 2018-08-31T11:05:37.000Z | 2021-06-08T14:15:07.000Z | dfirtrack_main/tests/note/test_note_views.py | stuhli/dfirtrack | 9260c91e4367b36d4cb1ae7efe4e2d2452f58e6e | [
"Apache-2.0"
] | 61 | 2018-11-12T22:55:48.000Z | 2021-06-06T15:16:16.000Z | import urllib.parse
from django.contrib.auth.models import User
from django.test import TestCase
from dfirtrack_main.models import (
Case,
Casepriority,
Casestatus,
Note,
Notestatus,
Tag,
Tagcolor,
)
class NoteViewTestCase(TestCase):
"""note view tests"""
@classmethod
def setUpTestData(cls):
# create user
test_user = User.objects.create_user(
username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21'
)
# create object
notestatus_1 = Notestatus.objects.create(notestatus_name='notestatus_1')
# create object
Note.objects.create(
note_title='note_1',
note_content='lorem ipsum',
notestatus=notestatus_1,
note_created_by_user_id=test_user,
note_modified_by_user_id=test_user,
)
# create object
tagcolor_1 = Tagcolor.objects.create(tagcolor_name='tagcolor_1')
# create object
Tag.objects.create(tag_name='tag_1', tagcolor=tagcolor_1)
# create objects
casepriority_1 = Casepriority.objects.create(casepriority_name='casepriority_1')
casestatus_1 = Casestatus.objects.create(casestatus_name='casestatus_1')
# create object
Case.objects.create(
case_name='case_1',
case_is_incident=True,
case_created_by_user_id=test_user,
casepriority=casepriority_1,
casestatus=casestatus_1,
)
def test_note_list_not_logged_in(self):
"""test list view"""
# create url
destination = '/login/?next=' + urllib.parse.quote('/note/', safe='')
# get response
response = self.client.get('/note/', follow=True)
# compare
self.assertRedirects(
response, destination, status_code=302, target_status_code=200
)
def test_note_list_logged_in(self):
"""test list view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get response
response = self.client.get('/note/')
# compare
self.assertEqual(response.status_code, 200)
def test_note_list_template(self):
"""test list view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get response
response = self.client.get('/note/')
# compare
self.assertTemplateUsed(response, 'dfirtrack_main/note/note_list.html')
def test_note_list_get_user_context(self):
"""test list view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get response
response = self.client.get('/note/')
# compare
self.assertEqual(str(response.context['user']), 'testuser_note')
def test_note_list_redirect(self):
"""test list view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# create url
destination = urllib.parse.quote('/note/', safe='/')
# get response
response = self.client.get('/note', follow=True)
# compare
self.assertRedirects(
response, destination, status_code=301, target_status_code=200
)
def test_note_detail_not_logged_in(self):
"""test detail view"""
# get object
note_1 = Note.objects.get(note_title='note_1')
# create url
destination = '/login/?next=' + urllib.parse.quote(
'/note/' + str(note_1.note_id) + '/', safe=''
)
# get response
response = self.client.get('/note/' + str(note_1.note_id) + '/', follow=True)
# compare
self.assertRedirects(
response, destination, status_code=302, target_status_code=200
)
def test_note_detail_logged_in(self):
"""test detail view"""
# get object
note_1 = Note.objects.get(note_title='note_1')
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get response
response = self.client.get('/note/' + str(note_1.note_id) + '/')
# compare
self.assertEqual(response.status_code, 200)
def test_note_detail_template(self):
"""test detail view"""
# get object
note_1 = Note.objects.get(note_title='note_1')
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get response
response = self.client.get('/note/' + str(note_1.note_id) + '/')
# compare
self.assertTemplateUsed(response, 'dfirtrack_main/note/note_detail.html')
def test_note_detail_get_user_context(self):
"""test detail view"""
# get object
note_1 = Note.objects.get(note_title='note_1')
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get response
response = self.client.get('/note/' + str(note_1.note_id) + '/')
# compare
self.assertEqual(str(response.context['user']), 'testuser_note')
def test_note_detail_redirect(self):
"""test detail view"""
# get object
note_1 = Note.objects.get(note_title='note_1')
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# create url
destination = urllib.parse.quote('/note/' + str(note_1.note_id) + '/', safe='/')
# get response
response = self.client.get('/note/' + str(note_1.note_id), follow=True)
# compare
self.assertRedirects(
response, destination, status_code=301, target_status_code=200
)
def test_note_add_not_logged_in(self):
"""test add view"""
# create url
destination = '/login/?next=' + urllib.parse.quote('/note/add/', safe='')
# get response
response = self.client.get('/note/add/', follow=True)
# compare
self.assertRedirects(
response, destination, status_code=302, target_status_code=200
)
def test_note_add_logged_in(self):
"""test add view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get response
response = self.client.get('/note/add/')
# compare
self.assertEqual(response.status_code, 200)
def test_note_add_template(self):
"""test add view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get response
response = self.client.get('/note/add/')
# compare
self.assertTemplateUsed(response, 'dfirtrack_main/note/note_generic_form.html')
def test_note_add_get_user_context(self):
"""test add view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get response
response = self.client.get('/note/add/')
# compare
self.assertEqual(str(response.context['user']), 'testuser_note')
def test_note_add_redirect(self):
"""test add view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# create url
destination = urllib.parse.quote('/note/add/', safe='/')
# get response
response = self.client.get('/note/add', follow=True)
# compare
self.assertRedirects(
response, destination, status_code=301, target_status_code=200
)
def test_note_add_post_redirect(self):
"""test add view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get objects
notestatus_id = Notestatus.objects.get(
notestatus_name='notestatus_1'
).notestatus_id
# create post data
data_dict = {
'note_title': 'note_add_post_test',
'note_content': 'lorem ipsum',
'notestatus': notestatus_id,
}
# get response
response = self.client.post('/note/add/', data_dict)
# get object
note_add_post_test = Note.objects.get(note_title='note_add_post_test')
# create url
destination = urllib.parse.quote(
'/note/' + str(note_add_post_test.note_id) + '/', safe='/'
)
# compare
self.assertRedirects(
response, destination, status_code=302, target_status_code=200
)
self.assertEqual(note_add_post_test.note_version, 1)
def test_note_add_post_invalid_reload(self):
"""test add view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# create post data
data_dict = {}
# get response
response = self.client.post('/note/add/', data_dict)
# compare
self.assertEqual(response.status_code, 200)
def test_note_add_post_invalid_template(self):
"""test add view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# create post data
data_dict = {}
# get response
response = self.client.post('/note/add/', data_dict)
# compare
self.assertTemplateUsed(response, 'dfirtrack_main/note/note_generic_form.html')
def test_note_edit_not_logged_in(self):
"""test edit view"""
# get object
note_1 = Note.objects.get(note_title='note_1')
# create url
destination = '/login/?next=' + urllib.parse.quote(
'/note/' + str(note_1.note_id) + '/edit/', safe=''
)
# get response
response = self.client.get(
'/note/' + str(note_1.note_id) + '/edit/', follow=True
)
# compare
self.assertRedirects(
response, destination, status_code=302, target_status_code=200
)
def test_note_edit_logged_in(self):
"""test edit view"""
# get object
note_1 = Note.objects.get(note_title='note_1')
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get response
response = self.client.get('/note/' + str(note_1.note_id) + '/edit/')
# compare
self.assertEqual(response.status_code, 200)
def test_note_edit_template(self):
"""test edit view"""
# get object
note_1 = Note.objects.get(note_title='note_1')
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get response
response = self.client.get('/note/' + str(note_1.note_id) + '/edit/')
# compare
self.assertTemplateUsed(response, 'dfirtrack_main/note/note_generic_form.html')
def test_note_edit_get_user_context(self):
"""test edit view"""
# get object
note_1 = Note.objects.get(note_title='note_1')
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get response
response = self.client.get('/note/' + str(note_1.note_id) + '/edit/')
# compare
self.assertEqual(str(response.context['user']), 'testuser_note')
def test_note_edit_redirect(self):
"""test edit view"""
# get object
note_1 = Note.objects.get(note_title='note_1')
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# create url
destination = urllib.parse.quote(
'/note/' + str(note_1.note_id) + '/edit/', safe='/'
)
# get response
response = self.client.get(
'/note/' + str(note_1.note_id) + '/edit', follow=True
)
# compare
self.assertRedirects(
response, destination, status_code=301, target_status_code=200
)
def test_note_edit_post_redirect(self):
"""test edit view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get user
test_user = User.objects.get(username='testuser_note')
# get objects
notestatus_1 = Notestatus.objects.get(notestatus_name='notestatus_1')
# create object
note_1 = Note.objects.create(
note_title='note_edit_post_test_1',
note_content='lorem ipsum',
notestatus=notestatus_1,
note_created_by_user_id=test_user,
note_modified_by_user_id=test_user,
)
# get note version because it needs to be (hidden) part of the form
note_version = Note.objects.get(note_title='note_edit_post_test_1').note_version
# compare
self.assertEqual(note_1.note_version, 1)
# create post data
data_dict = {
'note_title': 'note_edit_post_test_2',
'note_content': 'lorem ipsum',
'note_version': note_version,
'notestatus': notestatus_1.notestatus_id,
}
# get response
response = self.client.post(
'/note/' + str(note_1.note_id) + '/edit/', data_dict
)
# create url
destination = urllib.parse.quote('/note/' + str(note_1.note_id) + '/', safe='/')
# get object
note_edit_post_test_2 = Note.objects.get(note_title='note_edit_post_test_2')
# compare
self.assertEqual(note_edit_post_test_2.note_version, 2)
# compare
self.assertRedirects(
response, destination, status_code=302, target_status_code=200
)
def test_note_edit_post_invalid_reload(self):
"""test edit view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get object
note_id = Note.objects.get(note_title='note_1').note_id
# create post data
data_dict = {}
# get response
response = self.client.post('/note/' + str(note_id) + '/edit/', data_dict)
# compare
self.assertEqual(response.status_code, 200)
def test_note_edit_post_invalid_template(self):
"""test edit view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get object
note_id = Note.objects.get(note_title='note_1').note_id
# create post data
data_dict = {}
# get response
response = self.client.post('/note/' + str(note_id) + '/edit/', data_dict)
# compare
self.assertTemplateUsed(response, 'dfirtrack_main/note/note_generic_form.html')
def test_note_edit_documentation_redirect(self):
"""test note edit documentation redirect"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get object
note_1 = Note.objects.get(note_title='note_1')
notestatus_1 = Notestatus.objects.get(notestatus_name='notestatus_1')
# create post data
data_dict = data_dict = {
'note_title': note_1.note_title,
'note_content': 'lorem ipsum',
'note_version': note_1.note_version,
'notestatus': notestatus_1.notestatus_id,
}
# get response
response = self.client.post(
'/note/' + str(note_1.note_id) + '/edit/?documentation', data_dict
)
# create url
destination = urllib.parse.quote(
f'/documentation/#note_id_{note_1.note_id}', safe='/#'
)
# check
self.assertRedirects(
response, destination, status_code=302, target_status_code=200
)
def test_note_add_documentation_redirect(self):
"""test note add documentation redirect"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get object
notestatus_1 = Notestatus.objects.get(notestatus_name='notestatus_1')
# create post data
data_dict = data_dict = {
'note_title': "test add note redirect",
'note_content': 'lorem ipsum',
'notestatus': notestatus_1.notestatus_id,
}
# get response
response = self.client.post('/note/add/?documentation', data_dict)
# get latest note
new_note = Note.objects.latest('note_create_time')
# create url
destination = urllib.parse.quote(
f'/documentation/#note_id_{new_note.note_id}', safe='/#'
)
# check
self.assertRedirects(
response, destination, status_code=302, target_status_code=200
)
def test_note_edit_valid_tag(self):
"""test edit view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get user
test_user = User.objects.get(username='testuser_note')
# get objects
notestatus_1 = Notestatus.objects.get(notestatus_name='notestatus_1')
tag_1 = Tag.objects.get(tag_name='tag_1')
# create object
note_1 = Note.objects.create(
note_title='tag_note_edit_post_test_1',
note_content='lorem ipsum',
notestatus=notestatus_1,
note_created_by_user_id=test_user,
note_modified_by_user_id=test_user,
)
# create post data
data_dict = {
'note_title': 'tag_note_edit_post_test_2',
'note_content': 'lorem ipsum',
'note_version': note_1.note_version,
'notestatus': notestatus_1.notestatus_id,
'tag': [
tag_1.tag_id,
],
}
# get response
response = self.client.post(
'/note/' + str(note_1.note_id) + '/edit/', data_dict
)
# create url
destination = urllib.parse.quote('/note/' + str(note_1.note_id) + '/', safe='/')
# get object
note_edit_post_test_2 = Note.objects.get(note_title='tag_note_edit_post_test_2')
# compare
self.assertEqual(len(note_edit_post_test_2.tag.all()), 1)
self.assertEqual(note_edit_post_test_2.tag.all()[0].tag_name, 'tag_1')
# compare
self.assertRedirects(
response, destination, status_code=302, target_status_code=200
)
def test_note_edit_valid_case(self):
"""test edit view"""
# login testuser
self.client.login(username='testuser_note', password='oh8Szsuk8BpbEJ1RRL21')
# get user
test_user = User.objects.get(username='testuser_note')
# get objects
notestatus_1 = Notestatus.objects.get(notestatus_name='notestatus_1')
case_1 = Case.objects.get(case_name='case_1')
# create object
note_1 = Note.objects.create(
note_title='case_note_edit_post_test_1',
note_content='lorem ipsum',
notestatus=notestatus_1,
note_created_by_user_id=test_user,
note_modified_by_user_id=test_user,
)
# create post data
data_dict = {
'note_title': 'case_note_edit_post_test_2',
'note_content': 'lorem ipsum',
'note_version': note_1.note_version,
'notestatus': notestatus_1.notestatus_id,
'case': [
case_1.case_id,
],
}
# get response
response = self.client.post(
'/note/' + str(note_1.note_id) + '/edit/', data_dict
)
# create url
destination = urllib.parse.quote('/note/' + str(note_1.note_id) + '/', safe='/')
# get object
note_edit_post_test_2 = Note.objects.get(
note_title='case_note_edit_post_test_2'
)
# compare
self.assertEqual(note_edit_post_test_2.case.case_name, 'case_1')
# compare
self.assertRedirects(
response, destination, status_code=302, target_status_code=200
)
| 35.056897 | 88 | 0.610289 | 2,282 | 20,333 | 5.175723 | 0.047765 | 0.047413 | 0.033528 | 0.05842 | 0.902464 | 0.87664 | 0.853188 | 0.837186 | 0.816358 | 0.806536 | 0 | 0.024102 | 0.275611 | 20,333 | 579 | 89 | 35.117444 | 0.777785 | 0.117002 | 0 | 0.524691 | 0 | 0 | 0.152765 | 0.032922 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.095679 | false | 0.083333 | 0.012346 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
b937ba6ac58279d3478a680b3cb7c1db28838731 | 16 | py | Python | python/testData/resolve/multiFile/relativePackageStarImport/b/__init__.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/resolve/multiFile/relativePackageStarImport/b/__init__.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/resolve/multiFile/relativePackageStarImport/b/__init__.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | def foo(): pass
| 8 | 15 | 0.625 | 3 | 16 | 3.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1875 | 16 | 1 | 16 | 16 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | true | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
b9f113757d94b980e5e117b97b6d231dd65684e5 | 43,973 | py | Python | core/target_assigner_test.py | zhonglihanzhu/tensorflow-objectDetection | aa3d1b754d5c78b8401ce86d4c20f45741fc2b77 | [
"Apache-2.0"
] | 1 | 2019-04-24T16:32:11.000Z | 2019-04-24T16:32:11.000Z | core/target_assigner_test.py | zhonglihanzhu/tensorflow-objectDetection | aa3d1b754d5c78b8401ce86d4c20f45741fc2b77 | [
"Apache-2.0"
] | null | null | null | core/target_assigner_test.py | zhonglihanzhu/tensorflow-objectDetection | aa3d1b754d5c78b8401ce86d4c20f45741fc2b77 | [
"Apache-2.0"
] | 3 | 2018-04-04T07:26:54.000Z | 2020-08-14T01:43:29.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for object_detection.core.target_assigner."""
import numpy as np
import tensorflow as tf
from box_coders import keypoint_box_coder
from box_coders import mean_stddev_box_coder
from core import box_list
from core import region_similarity_calculator
from core import standard_fields as fields
from core import target_assigner as targetassigner
from matchers import argmax_matcher
from matchers import bipartite_matcher
from utils import test_case
class TargetAssignerTest(test_case.TestCase):
def test_assign_agnostic(self):
def graph_fn(anchor_means, anchor_stddevs, groundtruth_box_corners):
similarity_calc = region_similarity_calculator.IouSimilarity()
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=0.5,
unmatched_threshold=0.5)
box_coder = mean_stddev_box_coder.MeanStddevBoxCoder()
target_assigner = targetassigner.TargetAssigner(
similarity_calc, matcher, box_coder, unmatched_cls_target=None)
anchors_boxlist = box_list.BoxList(anchor_means)
anchors_boxlist.add_field('stddev', anchor_stddevs)
groundtruth_boxlist = box_list.BoxList(groundtruth_box_corners)
result = target_assigner.assign(anchors_boxlist, groundtruth_boxlist)
(cls_targets, cls_weights, reg_targets, reg_weights, _) = result
return (cls_targets, cls_weights, reg_targets, reg_weights)
anchor_means = np.array([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 1.0, 0.8],
[0, 0.5, .5, 1.0]], dtype=np.float32)
anchor_stddevs = np.array(3 * [4 * [.1]], dtype=np.float32)
groundtruth_box_corners = np.array([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 0.9, 0.9]],
dtype=np.float32)
exp_cls_targets = [[1], [1], [0]]
exp_cls_weights = [1, 1, 1]
exp_reg_targets = [[0, 0, 0, 0],
[0, 0, -1, 1],
[0, 0, 0, 0]]
exp_reg_weights = [1, 1, 0]
(cls_targets_out, cls_weights_out, reg_targets_out,
reg_weights_out) = self.execute(graph_fn, [anchor_means, anchor_stddevs,
groundtruth_box_corners])
self.assertAllClose(cls_targets_out, exp_cls_targets)
self.assertAllClose(cls_weights_out, exp_cls_weights)
self.assertAllClose(reg_targets_out, exp_reg_targets)
self.assertAllClose(reg_weights_out, exp_reg_weights)
self.assertEquals(cls_targets_out.dtype, np.float32)
self.assertEquals(cls_weights_out.dtype, np.float32)
self.assertEquals(reg_targets_out.dtype, np.float32)
self.assertEquals(reg_weights_out.dtype, np.float32)
def test_assign_class_agnostic_with_ignored_matches(self):
# Note: test is very similar to above. The third box matched with an IOU
# of 0.35, which is between the matched and unmatched threshold. This means
# That like above the expected classification targets are [1, 1, 0].
# Unlike above, the third target is ignored and therefore expected
# classification weights are [1, 1, 0].
def graph_fn(anchor_means, anchor_stddevs, groundtruth_box_corners):
similarity_calc = region_similarity_calculator.IouSimilarity()
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=0.5,
unmatched_threshold=0.3)
box_coder = mean_stddev_box_coder.MeanStddevBoxCoder()
target_assigner = targetassigner.TargetAssigner(
similarity_calc, matcher, box_coder, unmatched_cls_target=None)
anchors_boxlist = box_list.BoxList(anchor_means)
anchors_boxlist.add_field('stddev', anchor_stddevs)
groundtruth_boxlist = box_list.BoxList(groundtruth_box_corners)
result = target_assigner.assign(anchors_boxlist, groundtruth_boxlist)
(cls_targets, cls_weights, reg_targets, reg_weights, _) = result
return (cls_targets, cls_weights, reg_targets, reg_weights)
anchor_means = np.array([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 1.0, 0.8],
[0.0, 0.5, .9, 1.0]], dtype=np.float32)
anchor_stddevs = np.array(3 * [4 * [.1]], dtype=np.float32)
groundtruth_box_corners = np.array([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 0.9, 0.9]], dtype=np.float32)
exp_cls_targets = [[1], [1], [0]]
exp_cls_weights = [1, 1, 0]
exp_reg_targets = [[0, 0, 0, 0],
[0, 0, -1, 1],
[0, 0, 0, 0]]
exp_reg_weights = [1, 1, 0]
(cls_targets_out, cls_weights_out, reg_targets_out,
reg_weights_out) = self.execute(graph_fn, [anchor_means, anchor_stddevs,
groundtruth_box_corners])
self.assertAllClose(cls_targets_out, exp_cls_targets)
self.assertAllClose(cls_weights_out, exp_cls_weights)
self.assertAllClose(reg_targets_out, exp_reg_targets)
self.assertAllClose(reg_weights_out, exp_reg_weights)
self.assertEquals(cls_targets_out.dtype, np.float32)
self.assertEquals(cls_weights_out.dtype, np.float32)
self.assertEquals(reg_targets_out.dtype, np.float32)
self.assertEquals(reg_weights_out.dtype, np.float32)
def test_assign_agnostic_with_keypoints(self):
def graph_fn(anchor_means, groundtruth_box_corners,
groundtruth_keypoints):
similarity_calc = region_similarity_calculator.IouSimilarity()
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=0.5,
unmatched_threshold=0.5)
box_coder = keypoint_box_coder.KeypointBoxCoder(
num_keypoints=6, scale_factors=[10.0, 10.0, 5.0, 5.0])
target_assigner = targetassigner.TargetAssigner(
similarity_calc, matcher, box_coder, unmatched_cls_target=None)
anchors_boxlist = box_list.BoxList(anchor_means)
groundtruth_boxlist = box_list.BoxList(groundtruth_box_corners)
groundtruth_boxlist.add_field(fields.BoxListFields.keypoints,
groundtruth_keypoints)
result = target_assigner.assign(anchors_boxlist, groundtruth_boxlist)
(cls_targets, cls_weights, reg_targets, reg_weights, _) = result
return (cls_targets, cls_weights, reg_targets, reg_weights)
anchor_means = np.array([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 1.0, 1.0],
[0.0, 0.5, .9, 1.0]], dtype=np.float32)
groundtruth_box_corners = np.array([[0.0, 0.0, 0.5, 0.5],
[0.45, 0.45, 0.95, 0.95]],
dtype=np.float32)
groundtruth_keypoints = np.array(
[[[0.1, 0.2], [0.1, 0.3], [0.2, 0.2], [0.2, 0.2], [0.1, 0.1], [0.9, 0]],
[[0, 0.3], [0.2, 0.4], [0.5, 0.6], [0, 0.6], [0.8, 0.2], [0.2, 0.4]]],
dtype=np.float32)
exp_cls_targets = [[1], [1], [0]]
exp_cls_weights = [1, 1, 1]
exp_reg_targets = [[0, 0, 0, 0, -3, -1, -3, 1, -1, -1, -1, -1, -3, -3, 13,
-5],
[-1, -1, 0, 0, -15, -9, -11, -7, -5, -3, -15, -3, 1, -11,
-11, -7],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
exp_reg_weights = [1, 1, 0]
(cls_targets_out, cls_weights_out, reg_targets_out,
reg_weights_out) = self.execute(graph_fn, [anchor_means,
groundtruth_box_corners,
groundtruth_keypoints])
self.assertAllClose(cls_targets_out, exp_cls_targets)
self.assertAllClose(cls_weights_out, exp_cls_weights)
self.assertAllClose(reg_targets_out, exp_reg_targets)
self.assertAllClose(reg_weights_out, exp_reg_weights)
self.assertEquals(cls_targets_out.dtype, np.float32)
self.assertEquals(cls_weights_out.dtype, np.float32)
self.assertEquals(reg_targets_out.dtype, np.float32)
self.assertEquals(reg_weights_out.dtype, np.float32)
def test_assign_class_agnostic_with_keypoints_and_ignored_matches(self):
# Note: test is very similar to above. The third box matched with an IOU
# of 0.35, which is between the matched and unmatched threshold. This means
# That like above the expected classification targets are [1, 1, 0].
# Unlike above, the third target is ignored and therefore expected
# classification weights are [1, 1, 0].
def graph_fn(anchor_means, groundtruth_box_corners,
groundtruth_keypoints):
similarity_calc = region_similarity_calculator.IouSimilarity()
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=0.5,
unmatched_threshold=0.5)
box_coder = keypoint_box_coder.KeypointBoxCoder(
num_keypoints=6, scale_factors=[10.0, 10.0, 5.0, 5.0])
target_assigner = targetassigner.TargetAssigner(
similarity_calc, matcher, box_coder, unmatched_cls_target=None)
anchors_boxlist = box_list.BoxList(anchor_means)
groundtruth_boxlist = box_list.BoxList(groundtruth_box_corners)
groundtruth_boxlist.add_field(fields.BoxListFields.keypoints,
groundtruth_keypoints)
result = target_assigner.assign(anchors_boxlist, groundtruth_boxlist)
(cls_targets, cls_weights, reg_targets, reg_weights, _) = result
return (cls_targets, cls_weights, reg_targets, reg_weights)
anchor_means = np.array([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 1.0, 1.0],
[0.0, 0.5, .9, 1.0]], dtype=np.float32)
groundtruth_box_corners = np.array([[0.0, 0.0, 0.5, 0.5],
[0.45, 0.45, 0.95, 0.95]],
dtype=np.float32)
groundtruth_keypoints = np.array(
[[[0.1, 0.2], [0.1, 0.3], [0.2, 0.2], [0.2, 0.2], [0.1, 0.1], [0.9, 0]],
[[0, 0.3], [0.2, 0.4], [0.5, 0.6], [0, 0.6], [0.8, 0.2], [0.2, 0.4]]],
dtype=np.float32)
exp_cls_targets = [[1], [1], [0]]
exp_cls_weights = [1, 1, 1]
exp_reg_targets = [[0, 0, 0, 0, -3, -1, -3, 1, -1, -1, -1, -1, -3, -3, 13,
-5],
[-1, -1, 0, 0, -15, -9, -11, -7, -5, -3, -15, -3, 1, -11,
-11, -7],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
exp_reg_weights = [1, 1, 0]
(cls_targets_out, cls_weights_out, reg_targets_out,
reg_weights_out) = self.execute(graph_fn, [anchor_means,
groundtruth_box_corners,
groundtruth_keypoints])
self.assertAllClose(cls_targets_out, exp_cls_targets)
self.assertAllClose(cls_weights_out, exp_cls_weights)
self.assertAllClose(reg_targets_out, exp_reg_targets)
self.assertAllClose(reg_weights_out, exp_reg_weights)
self.assertEquals(cls_targets_out.dtype, np.float32)
self.assertEquals(cls_weights_out.dtype, np.float32)
self.assertEquals(reg_targets_out.dtype, np.float32)
self.assertEquals(reg_weights_out.dtype, np.float32)
def test_assign_multiclass(self):
def graph_fn(anchor_means, anchor_stddevs, groundtruth_box_corners,
groundtruth_labels):
similarity_calc = region_similarity_calculator.IouSimilarity()
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=0.5,
unmatched_threshold=0.5)
box_coder = mean_stddev_box_coder.MeanStddevBoxCoder()
unmatched_cls_target = tf.constant([1, 0, 0, 0, 0, 0, 0], tf.float32)
target_assigner = targetassigner.TargetAssigner(
similarity_calc, matcher, box_coder,
unmatched_cls_target=unmatched_cls_target)
anchors_boxlist = box_list.BoxList(anchor_means)
anchors_boxlist.add_field('stddev', anchor_stddevs)
groundtruth_boxlist = box_list.BoxList(groundtruth_box_corners)
result = target_assigner.assign(anchors_boxlist, groundtruth_boxlist,
groundtruth_labels)
(cls_targets, cls_weights, reg_targets, reg_weights, _) = result
return (cls_targets, cls_weights, reg_targets, reg_weights)
anchor_means = np.array([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 1.0, 0.8],
[0, 0.5, .5, 1.0],
[.75, 0, 1.0, .25]], dtype=np.float32)
anchor_stddevs = np.array(4 * [4 * [.1]], dtype=np.float32)
groundtruth_box_corners = np.array([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 0.9, 0.9],
[.75, 0, .95, .27]], dtype=np.float32)
groundtruth_labels = np.array([[0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 1, 0, 0, 0]], dtype=np.float32)
exp_cls_targets = [[0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0],
[1, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 0, 0]]
exp_cls_weights = [1, 1, 1, 1]
exp_reg_targets = [[0, 0, 0, 0],
[0, 0, -1, 1],
[0, 0, 0, 0],
[0, 0, -.5, .2]]
exp_reg_weights = [1, 1, 0, 1]
(cls_targets_out, cls_weights_out, reg_targets_out,
reg_weights_out) = self.execute(graph_fn, [anchor_means, anchor_stddevs,
groundtruth_box_corners,
groundtruth_labels])
self.assertAllClose(cls_targets_out, exp_cls_targets)
self.assertAllClose(cls_weights_out, exp_cls_weights)
self.assertAllClose(reg_targets_out, exp_reg_targets)
self.assertAllClose(reg_weights_out, exp_reg_weights)
self.assertEquals(cls_targets_out.dtype, np.float32)
self.assertEquals(cls_weights_out.dtype, np.float32)
self.assertEquals(reg_targets_out.dtype, np.float32)
self.assertEquals(reg_weights_out.dtype, np.float32)
def test_assign_multiclass_with_groundtruth_weights(self):
def graph_fn(anchor_means, anchor_stddevs, groundtruth_box_corners,
groundtruth_labels, groundtruth_weights):
similarity_calc = region_similarity_calculator.IouSimilarity()
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=0.5,
unmatched_threshold=0.5)
box_coder = mean_stddev_box_coder.MeanStddevBoxCoder()
unmatched_cls_target = tf.constant([1, 0, 0, 0, 0, 0, 0], tf.float32)
target_assigner = targetassigner.TargetAssigner(
similarity_calc, matcher, box_coder,
unmatched_cls_target=unmatched_cls_target)
anchors_boxlist = box_list.BoxList(anchor_means)
anchors_boxlist.add_field('stddev', anchor_stddevs)
groundtruth_boxlist = box_list.BoxList(groundtruth_box_corners)
result = target_assigner.assign(anchors_boxlist, groundtruth_boxlist,
groundtruth_labels,
groundtruth_weights)
(_, cls_weights, _, reg_weights, _) = result
return (cls_weights, reg_weights)
anchor_means = np.array([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 1.0, 0.8],
[0, 0.5, .5, 1.0],
[.75, 0, 1.0, .25]], dtype=np.float32)
anchor_stddevs = np.array(4 * [4 * [.1]], dtype=np.float32)
groundtruth_box_corners = np.array([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 0.9, 0.9],
[.75, 0, .95, .27]], dtype=np.float32)
groundtruth_labels = np.array([[0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 1, 0, 0, 0]], dtype=np.float32)
groundtruth_weights = np.array([0.3, 0., 0.5], dtype=np.float32)
exp_cls_weights = [0.3, 0., 1, 0.5] # background class gets weight of 1.
exp_reg_weights = [0.3, 0., 0., 0.5] # background class gets weight of 0.
(cls_weights_out,
reg_weights_out) = self.execute(graph_fn, [anchor_means, anchor_stddevs,
groundtruth_box_corners,
groundtruth_labels,
groundtruth_weights])
self.assertAllClose(cls_weights_out, exp_cls_weights)
self.assertAllClose(reg_weights_out, exp_reg_weights)
def test_assign_multidimensional_class_targets(self):
def graph_fn(anchor_means, anchor_stddevs, groundtruth_box_corners,
groundtruth_labels):
similarity_calc = region_similarity_calculator.IouSimilarity()
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=0.5,
unmatched_threshold=0.5)
box_coder = mean_stddev_box_coder.MeanStddevBoxCoder()
unmatched_cls_target = tf.constant([[0, 0], [0, 0]], tf.float32)
target_assigner = targetassigner.TargetAssigner(
similarity_calc, matcher, box_coder,
unmatched_cls_target=unmatched_cls_target)
anchors_boxlist = box_list.BoxList(anchor_means)
anchors_boxlist.add_field('stddev', anchor_stddevs)
groundtruth_boxlist = box_list.BoxList(groundtruth_box_corners)
result = target_assigner.assign(anchors_boxlist, groundtruth_boxlist,
groundtruth_labels)
(cls_targets, cls_weights, reg_targets, reg_weights, _) = result
return (cls_targets, cls_weights, reg_targets, reg_weights)
anchor_means = np.array([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 1.0, 0.8],
[0, 0.5, .5, 1.0],
[.75, 0, 1.0, .25]], dtype=np.float32)
anchor_stddevs = np.array(4 * [4 * [.1]], dtype=np.float32)
groundtruth_box_corners = np.array([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 0.9, 0.9],
[.75, 0, .95, .27]], dtype=np.float32)
groundtruth_labels = np.array([[[0, 1], [1, 0]],
[[1, 0], [0, 1]],
[[0, 1], [1, .5]]], np.float32)
exp_cls_targets = [[[0, 1], [1, 0]],
[[1, 0], [0, 1]],
[[0, 0], [0, 0]],
[[0, 1], [1, .5]]]
exp_cls_weights = [1, 1, 1, 1]
exp_reg_targets = [[0, 0, 0, 0],
[0, 0, -1, 1],
[0, 0, 0, 0],
[0, 0, -.5, .2]]
exp_reg_weights = [1, 1, 0, 1]
(cls_targets_out, cls_weights_out, reg_targets_out,
reg_weights_out) = self.execute(graph_fn, [anchor_means, anchor_stddevs,
groundtruth_box_corners,
groundtruth_labels])
self.assertAllClose(cls_targets_out, exp_cls_targets)
self.assertAllClose(cls_weights_out, exp_cls_weights)
self.assertAllClose(reg_targets_out, exp_reg_targets)
self.assertAllClose(reg_weights_out, exp_reg_weights)
self.assertEquals(cls_targets_out.dtype, np.float32)
self.assertEquals(cls_weights_out.dtype, np.float32)
self.assertEquals(reg_targets_out.dtype, np.float32)
self.assertEquals(reg_weights_out.dtype, np.float32)
def test_assign_empty_groundtruth(self):
def graph_fn(anchor_means, anchor_stddevs, groundtruth_box_corners,
groundtruth_labels):
similarity_calc = region_similarity_calculator.IouSimilarity()
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=0.5,
unmatched_threshold=0.5)
box_coder = mean_stddev_box_coder.MeanStddevBoxCoder()
unmatched_cls_target = tf.constant([0, 0, 0], tf.float32)
anchors_boxlist = box_list.BoxList(anchor_means)
anchors_boxlist.add_field('stddev', anchor_stddevs)
groundtruth_boxlist = box_list.BoxList(groundtruth_box_corners)
target_assigner = targetassigner.TargetAssigner(
similarity_calc, matcher, box_coder,
unmatched_cls_target=unmatched_cls_target)
result = target_assigner.assign(anchors_boxlist, groundtruth_boxlist,
groundtruth_labels)
(cls_targets, cls_weights, reg_targets, reg_weights, _) = result
return (cls_targets, cls_weights, reg_targets, reg_weights)
groundtruth_box_corners = np.zeros((0, 4), dtype=np.float32)
groundtruth_labels = np.zeros((0, 3), dtype=np.float32)
anchor_means = np.array([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 1.0, 0.8],
[0, 0.5, .5, 1.0],
[.75, 0, 1.0, .25]],
dtype=np.float32)
anchor_stddevs = np.array(4 * [4 * [.1]], dtype=np.float32)
exp_cls_targets = [[0, 0, 0],
[0, 0, 0],
[0, 0, 0],
[0, 0, 0]]
exp_cls_weights = [1, 1, 1, 1]
exp_reg_targets = [[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]]
exp_reg_weights = [0, 0, 0, 0]
(cls_targets_out, cls_weights_out, reg_targets_out,
reg_weights_out) = self.execute(graph_fn, [anchor_means, anchor_stddevs,
groundtruth_box_corners,
groundtruth_labels])
self.assertAllClose(cls_targets_out, exp_cls_targets)
self.assertAllClose(cls_weights_out, exp_cls_weights)
self.assertAllClose(reg_targets_out, exp_reg_targets)
self.assertAllClose(reg_weights_out, exp_reg_weights)
self.assertEquals(cls_targets_out.dtype, np.float32)
self.assertEquals(cls_weights_out.dtype, np.float32)
self.assertEquals(reg_targets_out.dtype, np.float32)
self.assertEquals(reg_weights_out.dtype, np.float32)
def test_raises_error_on_incompatible_groundtruth_boxes_and_labels(self):
similarity_calc = region_similarity_calculator.NegSqDistSimilarity()
matcher = bipartite_matcher.GreedyBipartiteMatcher()
box_coder = mean_stddev_box_coder.MeanStddevBoxCoder()
unmatched_cls_target = tf.constant([1, 0, 0, 0, 0, 0, 0], tf.float32)
target_assigner = targetassigner.TargetAssigner(
similarity_calc, matcher, box_coder,
unmatched_cls_target=unmatched_cls_target)
prior_means = tf.constant([[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 1.0, 0.8],
[0, 0.5, .5, 1.0],
[.75, 0, 1.0, .25]])
prior_stddevs = tf.constant(4 * [4 * [.1]])
priors = box_list.BoxList(prior_means)
priors.add_field('stddev', prior_stddevs)
box_corners = [[0.0, 0.0, 0.5, 0.5],
[0.0, 0.0, 0.5, 0.8],
[0.5, 0.5, 0.9, 0.9],
[.75, 0, .95, .27]]
boxes = box_list.BoxList(tf.constant(box_corners))
groundtruth_labels = tf.constant([[0, 1, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 1, 0, 0, 0]], tf.float32)
with self.assertRaisesRegexp(ValueError, 'Unequal shapes'):
target_assigner.assign(priors, boxes, groundtruth_labels,
num_valid_rows=3)
def test_raises_error_on_invalid_groundtruth_labels(self):
similarity_calc = region_similarity_calculator.NegSqDistSimilarity()
matcher = bipartite_matcher.GreedyBipartiteMatcher()
box_coder = mean_stddev_box_coder.MeanStddevBoxCoder()
unmatched_cls_target = tf.constant([[0, 0], [0, 0], [0, 0]], tf.float32)
target_assigner = targetassigner.TargetAssigner(
similarity_calc, matcher, box_coder,
unmatched_cls_target=unmatched_cls_target)
prior_means = tf.constant([[0.0, 0.0, 0.5, 0.5]])
prior_stddevs = tf.constant([[1.0, 1.0, 1.0, 1.0]])
priors = box_list.BoxList(prior_means)
priors.add_field('stddev', prior_stddevs)
box_corners = [[0.0, 0.0, 0.5, 0.5],
[0.5, 0.5, 0.9, 0.9],
[.75, 0, .95, .27]]
boxes = box_list.BoxList(tf.constant(box_corners))
groundtruth_labels = tf.constant([[[0, 1], [1, 0]]], tf.float32)
with self.assertRaises(ValueError):
target_assigner.assign(priors, boxes, groundtruth_labels,
num_valid_rows=3)
class BatchTargetAssignerTest(test_case.TestCase):
def _get_agnostic_target_assigner(self):
similarity_calc = region_similarity_calculator.IouSimilarity()
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=0.5,
unmatched_threshold=0.5)
box_coder = mean_stddev_box_coder.MeanStddevBoxCoder()
return targetassigner.TargetAssigner(
similarity_calc, matcher, box_coder,
unmatched_cls_target=None)
def _get_multi_class_target_assigner(self, num_classes):
similarity_calc = region_similarity_calculator.IouSimilarity()
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=0.5,
unmatched_threshold=0.5)
box_coder = mean_stddev_box_coder.MeanStddevBoxCoder()
unmatched_cls_target = tf.constant([1] + num_classes * [0], tf.float32)
return targetassigner.TargetAssigner(
similarity_calc, matcher, box_coder,
unmatched_cls_target=unmatched_cls_target)
def _get_multi_dimensional_target_assigner(self, target_dimensions):
similarity_calc = region_similarity_calculator.IouSimilarity()
matcher = argmax_matcher.ArgMaxMatcher(matched_threshold=0.5,
unmatched_threshold=0.5)
box_coder = mean_stddev_box_coder.MeanStddevBoxCoder()
unmatched_cls_target = tf.constant(np.zeros(target_dimensions),
tf.float32)
return targetassigner.TargetAssigner(
similarity_calc, matcher, box_coder,
unmatched_cls_target=unmatched_cls_target)
def test_batch_assign_targets(self):
def graph_fn(anchor_means, anchor_stddevs, groundtruth_boxlist1,
groundtruth_boxlist2):
box_list1 = box_list.BoxList(groundtruth_boxlist1)
box_list2 = box_list.BoxList(groundtruth_boxlist2)
gt_box_batch = [box_list1, box_list2]
gt_class_targets = [None, None]
anchors_boxlist = box_list.BoxList(anchor_means)
anchors_boxlist.add_field('stddev', anchor_stddevs)
agnostic_target_assigner = self._get_agnostic_target_assigner()
(cls_targets, cls_weights, reg_targets, reg_weights,
_) = targetassigner.batch_assign_targets(
agnostic_target_assigner, anchors_boxlist, gt_box_batch,
gt_class_targets)
return (cls_targets, cls_weights, reg_targets, reg_weights)
groundtruth_boxlist1 = np.array([[0., 0., 0.2, 0.2]], dtype=np.float32)
groundtruth_boxlist2 = np.array([[0, 0.25123152, 1, 1],
[0.015789, 0.0985, 0.55789, 0.3842]],
dtype=np.float32)
anchor_means = np.array([[0, 0, .25, .25],
[0, .25, 1, 1],
[0, .1, .5, .5],
[.75, .75, 1, 1]], dtype=np.float32)
anchor_stddevs = np.array([[.1, .1, .1, .1],
[.1, .1, .1, .1],
[.1, .1, .1, .1],
[.1, .1, .1, .1]], dtype=np.float32)
exp_reg_targets = [[[0, 0, -0.5, -0.5],
[0, 0, 0, 0],
[0, 0, 0, 0,],
[0, 0, 0, 0,],],
[[0, 0, 0, 0,],
[0, 0.01231521, 0, 0],
[0.15789001, -0.01500003, 0.57889998, -1.15799987],
[0, 0, 0, 0]]]
exp_cls_weights = [[1, 1, 1, 1],
[1, 1, 1, 1]]
exp_cls_targets = [[[1], [0], [0], [0]],
[[0], [1], [1], [0]]]
exp_reg_weights = [[1, 0, 0, 0],
[0, 1, 1, 0]]
(cls_targets_out, cls_weights_out, reg_targets_out,
reg_weights_out) = self.execute(graph_fn, [anchor_means, anchor_stddevs,
groundtruth_boxlist1,
groundtruth_boxlist2])
self.assertAllClose(cls_targets_out, exp_cls_targets)
self.assertAllClose(cls_weights_out, exp_cls_weights)
self.assertAllClose(reg_targets_out, exp_reg_targets)
self.assertAllClose(reg_weights_out, exp_reg_weights)
def test_batch_assign_multiclass_targets(self):
def graph_fn(anchor_means, anchor_stddevs, groundtruth_boxlist1,
groundtruth_boxlist2, class_targets1, class_targets2):
box_list1 = box_list.BoxList(groundtruth_boxlist1)
box_list2 = box_list.BoxList(groundtruth_boxlist2)
gt_box_batch = [box_list1, box_list2]
gt_class_targets = [class_targets1, class_targets2]
anchors_boxlist = box_list.BoxList(anchor_means)
anchors_boxlist.add_field('stddev', anchor_stddevs)
multiclass_target_assigner = self._get_multi_class_target_assigner(
num_classes=3)
(cls_targets, cls_weights, reg_targets, reg_weights,
_) = targetassigner.batch_assign_targets(
multiclass_target_assigner, anchors_boxlist, gt_box_batch,
gt_class_targets)
return (cls_targets, cls_weights, reg_targets, reg_weights)
groundtruth_boxlist1 = np.array([[0., 0., 0.2, 0.2]], dtype=np.float32)
groundtruth_boxlist2 = np.array([[0, 0.25123152, 1, 1],
[0.015789, 0.0985, 0.55789, 0.3842]],
dtype=np.float32)
class_targets1 = np.array([[0, 1, 0, 0]], dtype=np.float32)
class_targets2 = np.array([[0, 0, 0, 1],
[0, 0, 1, 0]], dtype=np.float32)
anchor_means = np.array([[0, 0, .25, .25],
[0, .25, 1, 1],
[0, .1, .5, .5],
[.75, .75, 1, 1]], dtype=np.float32)
anchor_stddevs = np.array([[.1, .1, .1, .1],
[.1, .1, .1, .1],
[.1, .1, .1, .1],
[.1, .1, .1, .1]], dtype=np.float32)
exp_reg_targets = [[[0, 0, -0.5, -0.5],
[0, 0, 0, 0],
[0, 0, 0, 0,],
[0, 0, 0, 0,],],
[[0, 0, 0, 0,],
[0, 0.01231521, 0, 0],
[0.15789001, -0.01500003, 0.57889998, -1.15799987],
[0, 0, 0, 0]]]
exp_cls_weights = [[1, 1, 1, 1],
[1, 1, 1, 1]]
exp_cls_targets = [[[0, 1, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0]],
[[1, 0, 0, 0],
[0, 0, 0, 1],
[0, 0, 1, 0],
[1, 0, 0, 0]]]
exp_reg_weights = [[1, 0, 0, 0],
[0, 1, 1, 0]]
(cls_targets_out, cls_weights_out, reg_targets_out,
reg_weights_out) = self.execute(graph_fn, [anchor_means, anchor_stddevs,
groundtruth_boxlist1,
groundtruth_boxlist2,
class_targets1,
class_targets2])
self.assertAllClose(cls_targets_out, exp_cls_targets)
self.assertAllClose(cls_weights_out, exp_cls_weights)
self.assertAllClose(reg_targets_out, exp_reg_targets)
self.assertAllClose(reg_weights_out, exp_reg_weights)
def test_batch_assign_multiclass_targets_with_padded_groundtruth(self):
def graph_fn(anchor_means, anchor_stddevs, groundtruth_boxlist1,
groundtruth_boxlist2, class_targets1, class_targets2,
groundtruth_weights1, groundtruth_weights2):
box_list1 = box_list.BoxList(groundtruth_boxlist1)
box_list2 = box_list.BoxList(groundtruth_boxlist2)
gt_box_batch = [box_list1, box_list2]
gt_class_targets = [class_targets1, class_targets2]
gt_weights = [groundtruth_weights1, groundtruth_weights2]
anchors_boxlist = box_list.BoxList(anchor_means)
anchors_boxlist.add_field('stddev', anchor_stddevs)
multiclass_target_assigner = self._get_multi_class_target_assigner(
num_classes=3)
(cls_targets, cls_weights, reg_targets, reg_weights,
_) = targetassigner.batch_assign_targets(
multiclass_target_assigner, anchors_boxlist, gt_box_batch,
gt_class_targets, gt_weights)
return (cls_targets, cls_weights, reg_targets, reg_weights)
groundtruth_boxlist1 = np.array([[0., 0., 0.2, 0.2],
[0., 0., 0., 0.]], dtype=np.float32)
groundtruth_weights1 = np.array([1, 0], dtype=np.float32)
groundtruth_boxlist2 = np.array([[0, 0.25123152, 1, 1],
[0.015789, 0.0985, 0.55789, 0.3842],
[0, 0, 0, 0]],
dtype=np.float32)
groundtruth_weights2 = np.array([1, 1, 0], dtype=np.float32)
class_targets1 = np.array([[0, 1, 0, 0], [0, 0, 0, 0]], dtype=np.float32)
class_targets2 = np.array([[0, 0, 0, 1],
[0, 0, 1, 0],
[0, 0, 0, 0]], dtype=np.float32)
anchor_means = np.array([[0, 0, .25, .25],
[0, .25, 1, 1],
[0, .1, .5, .5],
[.75, .75, 1, 1]], dtype=np.float32)
anchor_stddevs = np.array([[.1, .1, .1, .1],
[.1, .1, .1, .1],
[.1, .1, .1, .1],
[.1, .1, .1, .1]], dtype=np.float32)
exp_reg_targets = [[[0, 0, -0.5, -0.5],
[0, 0, 0, 0],
[0, 0, 0, 0,],
[0, 0, 0, 0,],],
[[0, 0, 0, 0,],
[0, 0.01231521, 0, 0],
[0.15789001, -0.01500003, 0.57889998, -1.15799987],
[0, 0, 0, 0]]]
exp_cls_weights = [[1, 1, 1, 1],
[1, 1, 1, 1]]
exp_cls_targets = [[[0, 1, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0],
[1, 0, 0, 0]],
[[1, 0, 0, 0],
[0, 0, 0, 1],
[0, 0, 1, 0],
[1, 0, 0, 0]]]
exp_reg_weights = [[1, 0, 0, 0],
[0, 1, 1, 0]]
(cls_targets_out, cls_weights_out, reg_targets_out,
reg_weights_out) = self.execute(graph_fn, [anchor_means, anchor_stddevs,
groundtruth_boxlist1,
groundtruth_boxlist2,
class_targets1,
class_targets2,
groundtruth_weights1,
groundtruth_weights2])
self.assertAllClose(cls_targets_out, exp_cls_targets)
self.assertAllClose(cls_weights_out, exp_cls_weights)
self.assertAllClose(reg_targets_out, exp_reg_targets)
self.assertAllClose(reg_weights_out, exp_reg_weights)
def test_batch_assign_multidimensional_targets(self):
def graph_fn(anchor_means, anchor_stddevs, groundtruth_boxlist1,
groundtruth_boxlist2, class_targets1, class_targets2):
box_list1 = box_list.BoxList(groundtruth_boxlist1)
box_list2 = box_list.BoxList(groundtruth_boxlist2)
gt_box_batch = [box_list1, box_list2]
gt_class_targets = [class_targets1, class_targets2]
anchors_boxlist = box_list.BoxList(anchor_means)
anchors_boxlist.add_field('stddev', anchor_stddevs)
multiclass_target_assigner = self._get_multi_dimensional_target_assigner(
target_dimensions=(2, 3))
(cls_targets, cls_weights, reg_targets, reg_weights,
_) = targetassigner.batch_assign_targets(
multiclass_target_assigner, anchors_boxlist, gt_box_batch,
gt_class_targets)
return (cls_targets, cls_weights, reg_targets, reg_weights)
groundtruth_boxlist1 = np.array([[0., 0., 0.2, 0.2]], dtype=np.float32)
groundtruth_boxlist2 = np.array([[0, 0.25123152, 1, 1],
[0.015789, 0.0985, 0.55789, 0.3842]],
dtype=np.float32)
class_targets1 = np.array([[0, 1, 0, 0]], dtype=np.float32)
class_targets2 = np.array([[0, 0, 0, 1],
[0, 0, 1, 0]], dtype=np.float32)
class_targets1 = np.array([[[0, 1, 1],
[1, 1, 0]]], dtype=np.float32)
class_targets2 = np.array([[[0, 1, 1],
[1, 1, 0]],
[[0, 0, 1],
[0, 0, 1]]], dtype=np.float32)
anchor_means = np.array([[0, 0, .25, .25],
[0, .25, 1, 1],
[0, .1, .5, .5],
[.75, .75, 1, 1]], dtype=np.float32)
anchor_stddevs = np.array([[.1, .1, .1, .1],
[.1, .1, .1, .1],
[.1, .1, .1, .1],
[.1, .1, .1, .1]], dtype=np.float32)
exp_reg_targets = [[[0, 0, -0.5, -0.5],
[0, 0, 0, 0],
[0, 0, 0, 0,],
[0, 0, 0, 0,],],
[[0, 0, 0, 0,],
[0, 0.01231521, 0, 0],
[0.15789001, -0.01500003, 0.57889998, -1.15799987],
[0, 0, 0, 0]]]
exp_cls_weights = [[1, 1, 1, 1],
[1, 1, 1, 1]]
exp_cls_targets = [[[[0., 1., 1.],
[1., 1., 0.]],
[[0., 0., 0.],
[0., 0., 0.]],
[[0., 0., 0.],
[0., 0., 0.]],
[[0., 0., 0.],
[0., 0., 0.]]],
[[[0., 0., 0.],
[0., 0., 0.]],
[[0., 1., 1.],
[1., 1., 0.]],
[[0., 0., 1.],
[0., 0., 1.]],
[[0., 0., 0.],
[0., 0., 0.]]]]
exp_reg_weights = [[1, 0, 0, 0],
[0, 1, 1, 0]]
(cls_targets_out, cls_weights_out, reg_targets_out,
reg_weights_out) = self.execute(graph_fn, [anchor_means, anchor_stddevs,
groundtruth_boxlist1,
groundtruth_boxlist2,
class_targets1,
class_targets2])
self.assertAllClose(cls_targets_out, exp_cls_targets)
self.assertAllClose(cls_weights_out, exp_cls_weights)
self.assertAllClose(reg_targets_out, exp_reg_targets)
self.assertAllClose(reg_weights_out, exp_reg_weights)
def test_batch_assign_empty_groundtruth(self):
def graph_fn(anchor_means, anchor_stddevs, groundtruth_box_corners,
gt_class_targets):
groundtruth_boxlist = box_list.BoxList(groundtruth_box_corners)
gt_box_batch = [groundtruth_boxlist]
gt_class_targets_batch = [gt_class_targets]
anchors_boxlist = box_list.BoxList(anchor_means)
anchors_boxlist.add_field('stddev', anchor_stddevs)
multiclass_target_assigner = self._get_multi_class_target_assigner(
num_classes=3)
(cls_targets, cls_weights, reg_targets, reg_weights,
_) = targetassigner.batch_assign_targets(
multiclass_target_assigner, anchors_boxlist,
gt_box_batch, gt_class_targets_batch)
return (cls_targets, cls_weights, reg_targets, reg_weights)
groundtruth_box_corners = np.zeros((0, 4), dtype=np.float32)
anchor_means = np.array([[0, 0, .25, .25],
[0, .25, 1, 1]], dtype=np.float32)
anchor_stddevs = np.array([[.1, .1, .1, .1],
[.1, .1, .1, .1]], dtype=np.float32)
exp_reg_targets = [[[0, 0, 0, 0],
[0, 0, 0, 0]]]
exp_cls_weights = [[1, 1]]
exp_cls_targets = [[[1, 0, 0, 0],
[1, 0, 0, 0]]]
exp_reg_weights = [[0, 0]]
num_classes = 3
pad = 1
gt_class_targets = np.zeros((0, num_classes + pad), dtype=np.float32)
(cls_targets_out, cls_weights_out, reg_targets_out,
reg_weights_out) = self.execute(
graph_fn, [anchor_means, anchor_stddevs, groundtruth_box_corners,
gt_class_targets])
self.assertAllClose(cls_targets_out, exp_cls_targets)
self.assertAllClose(cls_weights_out, exp_cls_weights)
self.assertAllClose(reg_targets_out, exp_reg_targets)
self.assertAllClose(reg_weights_out, exp_reg_weights)
class CreateTargetAssignerTest(tf.test.TestCase):
def test_create_target_assigner(self):
"""Tests that named constructor gives working target assigners.
TODO: Make this test more general.
"""
corners = [[0.0, 0.0, 1.0, 1.0]]
groundtruth = box_list.BoxList(tf.constant(corners))
priors = box_list.BoxList(tf.constant(corners))
prior_stddevs = tf.constant([[1.0, 1.0, 1.0, 1.0]])
priors.add_field('stddev', prior_stddevs)
multibox_ta = (targetassigner
.create_target_assigner('Multibox', stage='proposal'))
multibox_ta.assign(priors, groundtruth)
# No tests on output, as that may vary arbitrarily as new target assigners
# are added. As long as it is constructed correctly and runs without errors,
# tests on the individual assigners cover correctness of the assignments.
anchors = box_list.BoxList(tf.constant(corners))
faster_rcnn_proposals_ta = (targetassigner
.create_target_assigner('FasterRCNN',
stage='proposal'))
faster_rcnn_proposals_ta.assign(anchors, groundtruth)
fast_rcnn_ta = (targetassigner
.create_target_assigner('FastRCNN'))
fast_rcnn_ta.assign(anchors, groundtruth)
faster_rcnn_detection_ta = (targetassigner
.create_target_assigner('FasterRCNN',
stage='detection'))
faster_rcnn_detection_ta.assign(anchors, groundtruth)
with self.assertRaises(ValueError):
targetassigner.create_target_assigner('InvalidDetector',
stage='invalid_stage')
if __name__ == '__main__':
tf.test.main()
| 50.197489 | 80 | 0.566006 | 5,417 | 43,973 | 4.318073 | 0.050212 | 0.046172 | 0.049891 | 0.047711 | 0.895686 | 0.883417 | 0.877089 | 0.86777 | 0.861442 | 0.858022 | 0 | 0.076122 | 0.31467 | 43,973 | 875 | 81 | 50.254857 | 0.70006 | 0.039274 | 0 | 0.804974 | 0 | 0 | 0.004621 | 0 | 0 | 0 | 0 | 0.001143 | 0.106021 | 1 | 0.041885 | false | 0 | 0.014398 | 0 | 0.081152 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6a2525cb33d7fc3987fc1c37a07ba43a3cdfd440 | 22,381 | py | Python | tests/chainerx_tests/unit_tests/routines_tests/test_rnn.py | mr4msm/chainer | 7942e1cd425b29868ff872a5b9031f90a9bcda53 | [
"MIT"
] | 2 | 2018-10-09T15:37:43.000Z | 2019-04-28T02:45:22.000Z | tests/chainerx_tests/unit_tests/routines_tests/test_rnn.py | blakexu/chainer | f3c2948af2796bb5096f628220fd7321120e1a75 | [
"MIT"
] | 1 | 2019-10-17T09:56:18.000Z | 2019-10-17T09:56:18.000Z | tests/chainerx_tests/unit_tests/routines_tests/test_rnn.py | blakexu/chainer | f3c2948af2796bb5096f628220fd7321120e1a75 | [
"MIT"
] | null | null | null | import chainer
import chainerx
from chainerx_tests import array_utils
from chainerx_tests import dtype_utils
from chainerx_tests import op_utils
n_step_lstm_dtypes_valid = dtype_utils._permutate_dtype_mapping([
# Floats.
(('float16', ), ()),
(('float32', ), ()),
(('float64', ), ()),
])
@op_utils.op_test(['native:0', 'cuda:0'])
@chainer.testing.parameterize(*(
chainer.testing.product([
chainer.testing.from_pytest_parameterize(
'n_layers,hidden_size,input_size,batches', [
(2, 2, 1, (1, 1, 1)),
(2, 2, 3, (3, 2, 1)),
(3, 8, 4, (4, 2, 1)),
(4, 12, 4, (4, 3, 2)),
]),
chainer.testing.from_pytest_parameterize(
'in_dtypes, out_dtype', n_step_lstm_dtypes_valid)
])
))
class TestNStepLstm(op_utils.ChainerOpTest):
def setup(self):
self.check_forward_options.update({
'rtol': 1e-2, 'atol': 1e-2})
self.check_backward_options.update({
'rtol': 1e-2, 'atol': 1e-2})
self.check_double_backward_options.update({
'rtol': 5e-3, 'atol': 5e-2})
if self.in_dtypes[0] == 'float16':
self.check_forward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
self.check_backward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
self.check_double_backward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
device = chainerx.get_default_device()
if device.backend.name == 'cuda':
if self.in_dtypes[0] != 'float32':
self.skip_backward_test = True
self.skip_double_backward_test = True
def generate_inputs(self):
h_shape = (self.n_layers, self.batches[0], self.hidden_size)
dtype = self.in_dtypes[0]
h = array_utils.uniform(h_shape, dtype)
c = array_utils.uniform(h_shape, dtype)
in_size = self.input_size
out_size = self.hidden_size
xs = [array_utils.uniform((self.batches[b], in_size), dtype)
for b in range(len(self.batches))]
def w_in(i, j):
return in_size if i == 0 and j < 4 else out_size
inputs = []
inputs.append(h)
inputs.append(c)
for i in range(len(self.batches)):
inputs.append(xs[i])
for n in range(self.n_layers):
for i in range(8):
inputs.append(array_utils.uniform(
(out_size, w_in(n, i)), dtype))
for i in range(8):
inputs.append(array_utils.uniform((out_size,), dtype))
return tuple(inputs)
def process_input(self, inputs):
h = inputs[0]
c = inputs[1]
xs = inputs[2:2 + len(self.batches)]
ws = []
bs = []
index = 2 + len(self.batches)
for n in range(self.n_layers):
ws.append(inputs[index: index + 8])
bs.append(inputs[index + 8: index + 16])
index += 16
return h, c, ws, bs, xs
def forward_chainerx(self, inputs):
h, c, ws, bs, xs = self.process_input(inputs)
out = chainerx.n_step_lstm(self.n_layers, h, c, ws, bs, xs)
rets = []
rets.append(out[0])
rets.append(out[1])
for i in range(len(out[2])):
rets.append(out[2][i])
return tuple(rets)
def forward_chainer(self, inputs):
h, c, ws, bs, xs = self.process_input(inputs)
out = chainer.functions.n_step_lstm(
self.n_layers, 0.0, h, c, ws, bs, xs)
rets = []
rets.append(out[0])
rets.append(out[1])
for i in range(len(out[2])):
rets.append(out[2][i])
return tuple(rets)
@op_utils.op_test(['native:0', 'cuda:0'])
@chainer.testing.parameterize(*(
chainer.testing.product([
chainer.testing.from_pytest_parameterize(
'n_layers,hidden_size,input_size,batches', [
(1, 2, 1, (1, 1, 1)),
(2, 6, 8, (4, 2, 2)),
(3, 8, 4, (4, 2, 1)),
(4, 12, 4, (4, 3, 2)),
]),
chainer.testing.from_pytest_parameterize(
'in_dtypes,out_dtype', n_step_lstm_dtypes_valid)
])
))
class TestNStepBiLstm(op_utils.ChainerOpTest):
def setup(self):
self.check_forward_options.update({
'rtol': 1e-2, 'atol': 1e-2})
self.check_backward_options.update({
'rtol': 1e-2, 'atol': 1e-2})
self.check_double_backward_options.update({
'rtol': 5e-3, 'atol': 5e-2})
if self.in_dtypes[0] == 'float16':
self.check_forward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
self.check_backward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
self.check_double_backward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
device = chainerx.get_default_device()
if device.backend.name == 'cuda':
if self.in_dtypes[0] != 'float32':
self.skip_backward_test = True
self.skip_double_backward_test = True
def generate_inputs(self):
h_shape = (self.n_layers * 2, self.batches[0], self.hidden_size)
dtype = self.in_dtypes[0]
h = array_utils.uniform(h_shape, dtype)
c = array_utils.uniform(h_shape, dtype)
in_size = self.input_size
out_size = self.hidden_size
xs = [array_utils.uniform((self.batches[b], in_size), dtype)
for b in range(len(self.batches))]
def w_in(i, j):
if i == 0 and j < 4:
return in_size
elif i > 0 and j < 4:
return out_size * 2
else:
return out_size
inputs = []
inputs.append(h)
inputs.append(c)
for i in range(len(self.batches)):
inputs.append(xs[i])
for n in range(self.n_layers):
for direction in (0, 1):
for i in range(8):
inputs.append(array_utils.uniform(
(out_size, w_in(n, i)), dtype))
for i in range(8):
inputs.append(array_utils.uniform((out_size,), dtype))
return tuple(inputs)
def process_input(self, inputs):
h = inputs[0]
c = inputs[1]
xs = inputs[2:2 + len(self.batches)]
ws = []
bs = []
index = 2 + len(self.batches)
for n in range(self.n_layers):
ws.append(inputs[index: index + 8])
bs.append(inputs[index + 8: index + 16])
ws.append(inputs[index + 16: index + 24])
bs.append(inputs[index + 24: index + 32])
index += 32
return h, c, ws, bs, xs
def forward_chainerx(self, inputs):
h, c, ws, bs, xs = self.process_input(inputs)
out = chainerx.n_step_bilstm(self.n_layers, h, c, ws, bs, xs)
rets = []
rets.append(out[0])
rets.append(out[1])
for i in range(len(out[2])):
rets.append(out[2][i])
return tuple(rets)
def forward_chainer(self, inputs):
h, c, ws, bs, xs = self.process_input(inputs)
out = chainer.functions.n_step_bilstm(
self.n_layers, 0.0, h, c, ws, bs, xs)
rets = []
rets.append(out[0])
rets.append(out[1])
for i in range(len(out[2])):
rets.append(out[2][i])
return tuple(rets)
@op_utils.op_test(['native:0', 'cuda:0'])
@chainer.testing.parameterize(*(
chainer.testing.product([
chainer.testing.from_pytest_parameterize(
'n_layers,hidden_size,input_size,batches', [
(2, 2, 1, (1, 1, 1)),
(2, 2, 3, (3, 2, 1)),
(3, 8, 4, (4, 2, 1)),
(4, 6, 4, (4, 3, 2)),
]),
chainer.testing.from_pytest_parameterize(
'in_dtypes, out_dtype', n_step_lstm_dtypes_valid)
])
))
class TestNStepGru(op_utils.ChainerOpTest):
def setup(self):
self.check_forward_options.update({
'rtol': 1e-2, 'atol': 1e-2})
self.check_backward_options.update({
'rtol': 1e-2, 'atol': 1e-2})
self.check_double_backward_options.update({
'rtol': 5e-3, 'atol': 5e-2})
if self.in_dtypes[0] == 'float16':
self.check_forward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
self.check_backward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
self.check_double_backward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
device = chainerx.get_default_device()
if device.backend.name == 'cuda':
if self.in_dtypes[0] != 'float32':
self.skip_backward_test = True
self.skip_double_backward_test = True
def generate_inputs(self):
h_shape = (self.n_layers, self.batches[0], self.hidden_size)
dtype = self.in_dtypes[0]
h = array_utils.uniform(h_shape, dtype)
in_size = self.input_size
out_size = self.hidden_size
xs = [array_utils.uniform((self.batches[b], in_size), dtype)
for b in range(len(self.batches))]
def w_in(i, j):
return in_size if i == 0 and j < 3 else out_size
inputs = []
inputs.append(h)
for i in range(len(self.batches)):
inputs.append(xs[i])
for n in range(self.n_layers):
for i in range(6):
inputs.append(array_utils.uniform(
(out_size, w_in(n, i)), dtype))
for i in range(6):
inputs.append(array_utils.uniform((out_size,), dtype))
return tuple(inputs)
def process_input(self, inputs):
h = inputs[0]
xs = inputs[1:1 + len(self.batches)]
ws = []
bs = []
index = 1 + len(self.batches)
for n in range(self.n_layers):
ws.append(inputs[index: index + 6])
bs.append(inputs[index + 6: index + 12])
index += 12
return h, ws, bs, xs
def forward_chainerx(self, inputs):
h, ws, bs, xs = self.process_input(inputs)
out = chainerx.n_step_gru(self.n_layers, h, ws, bs, xs)
rets = []
rets.append(out[0])
for i in range(len(out[1])):
rets.append(out[1][i])
return tuple(rets)
def forward_chainer(self, inputs):
h, ws, bs, xs = self.process_input(inputs)
out = chainer.functions.n_step_gru(
self.n_layers, 0.0, h, ws, bs, xs)
rets = []
rets.append(out[0])
for i in range(len(out[1])):
rets.append(out[1][i])
return tuple(rets)
@op_utils.op_test(['native:0', 'cuda:0'])
@chainer.testing.parameterize(*(
chainer.testing.product([
chainer.testing.from_pytest_parameterize(
'n_layers,hidden_size,input_size,batches', [
(2, 2, 1, (1, 1, 1)),
(2, 2, 3, (3, 2, 1)),
(3, 4, 4, (4, 2, 1)),
(4, 5, 4, (4, 3, 2)),
]),
chainer.testing.from_pytest_parameterize(
'in_dtypes,out_dtype', n_step_lstm_dtypes_valid)
])
))
class TestNStepBiGRU(op_utils.ChainerOpTest):
def setup(self):
self.check_forward_options.update({
'rtol': 1e-2, 'atol': 1e-2})
self.check_backward_options.update({
'rtol': 1e-2, 'atol': 1e-2})
self.check_double_backward_options.update({
'rtol': 5e-2, 'atol': 5e-2})
if self.in_dtypes[0] == 'float16':
self.check_forward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
self.check_backward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
self.check_double_backward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
device = chainerx.get_default_device()
if device.backend.name == 'cuda':
if self.in_dtypes[0] != 'float32':
self.skip_backward_test = True
self.skip_double_backward_test = True
def generate_inputs(self):
h_shape = (self.n_layers * 2, self.batches[0], self.hidden_size)
dtype = self.in_dtypes[0]
h = array_utils.uniform(h_shape, dtype)
in_size = self.input_size
out_size = self.hidden_size
xs = [array_utils.uniform((self.batches[b], in_size), dtype)
for b in range(len(self.batches))]
def w_in(i, j):
if i == 0 and j < 3:
return in_size
elif i > 0 and j < 3:
return out_size * 2
else:
return out_size
inputs = []
inputs.append(h)
for i in range(len(self.batches)):
inputs.append(xs[i])
for n in range(self.n_layers):
for direction in (0, 1):
for i in range(6):
inputs.append(array_utils.uniform(
(out_size, w_in(n, i)), dtype))
for i in range(6):
inputs.append(array_utils.uniform((out_size,), dtype))
return tuple(inputs)
def process_input(self, inputs):
h = inputs[0]
xs = inputs[1:1 + len(self.batches)]
ws = []
bs = []
index = 1 + len(self.batches)
for n in range(self.n_layers):
ws.append(inputs[index: index + 6])
bs.append(inputs[index + 6: index + 12])
ws.append(inputs[index + 12: index + 18])
bs.append(inputs[index + 18: index + 24])
index += 24
return h, ws, bs, xs
def forward_chainerx(self, inputs):
h, ws, bs, xs = self.process_input(inputs)
out = chainerx.n_step_bigru(self.n_layers, h, ws, bs, xs)
rets = []
rets.append(out[0])
for i in range(len(out[1])):
rets.append(out[1][i])
return tuple(rets)
def forward_chainer(self, inputs):
h, ws, bs, xs = self.process_input(inputs)
out = chainer.functions.n_step_bigru(
self.n_layers, 0.0, h, ws, bs, xs)
rets = []
rets.append(out[0])
for i in range(len(out[1])):
rets.append(out[1][i])
return tuple(rets)
@op_utils.op_test(['native:0', 'cuda:0'])
# ReLU activation is unstable around 0 but can seemingly not be dodged
# automatically.
@op_utils.fix_random()
@chainer.testing.parameterize(*(
chainer.testing.product([
chainer.testing.from_pytest_parameterize(
'n_layers,hidden_size,input_size,batches,activation', [
(2, 2, 1, (1, 1, 1), "tanh"),
(2, 2, 1, (1, 1, 1), "relu"),
(2, 2, 3, (3, 2, 1), "tanh"),
(2, 2, 3, (3, 2, 1), "relu"),
(3, 4, 4, (4, 2, 1), "tanh"),
(3, 4, 4, (4, 2, 1), "relu"),
(4, 5, 4, (4, 3, 2), "tanh"),
(4, 5, 4, (4, 3, 2), "relu"),
]),
chainer.testing.from_pytest_parameterize(
'in_dtypes, out_dtype', n_step_lstm_dtypes_valid)
])
))
class TestNStepRNN(op_utils.ChainerOpTest):
check_numpy_strides_compliance = False
dodge_nondifferentiable = True
def setup(self):
self.check_forward_options.update({
'rtol': 1e-2, 'atol': 1e-2})
self.check_backward_options.update({
'rtol': 1e-2, 'atol': 1e-2})
self.check_double_backward_options.update({
'rtol': 5e-2, 'atol': 5e-2})
if self.in_dtypes[0] == 'float16':
self.check_forward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
self.check_backward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
self.check_double_backward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
device = chainerx.get_default_device()
if device.backend.name == 'cuda':
if self.in_dtypes[0] != 'float32':
self.skip_forward_test = True
self.skip_backward_test = True
self.skip_double_backward_test = True
def generate_inputs(self):
h_shape = (self.n_layers, self.batches[0], self.hidden_size)
dtype = self.in_dtypes[0]
h = array_utils.uniform(h_shape, dtype)
in_size = self.input_size
out_size = self.hidden_size
xs = [array_utils.uniform((self.batches[b], in_size), dtype)
for b in range(len(self.batches))]
def w_in(i, j):
return in_size if i == 0 and j < 1 else out_size
inputs = []
inputs.append(h)
for i in range(len(self.batches)):
inputs.append(xs[i])
for n in range(self.n_layers):
for i in range(2):
inputs.append(array_utils.uniform(
(out_size, w_in(n, i)), dtype))
for i in range(2):
inputs.append(array_utils.uniform((out_size,), dtype))
return tuple(inputs)
def process_input(self, inputs):
h = inputs[0]
xs = inputs[1:1 + len(self.batches)]
ws = []
bs = []
index = 1 + len(self.batches)
for n in range(self.n_layers):
ws.append(inputs[index: index + 2])
bs.append(inputs[index + 2: index + 4])
index += 4
return h, ws, bs, xs
def forward_chainerx(self, inputs):
h, ws, bs, xs = self.process_input(inputs)
out = chainerx.n_step_rnn(
self.n_layers, h, ws, bs, xs, self.activation)
rets = []
rets.append(out[0])
for i in range(len(out[1])):
rets.append(out[1][i])
return tuple(rets)
def forward_chainer(self, inputs):
h, ws, bs, xs = self.process_input(inputs)
out = chainer.functions.n_step_rnn(
self.n_layers, 0.0, h, ws, bs, xs, self.activation)
rets = []
rets.append(out[0])
for i in range(len(out[1])):
rets.append(out[1][i])
return tuple(rets)
@op_utils.op_test(['native:0', 'cuda:0'])
# ReLU activation is unstable around 0 but can seemingly not be dodged
# automatically.
@op_utils.fix_random()
@chainer.testing.parameterize(*(
chainer.testing.product([
chainer.testing.from_pytest_parameterize(
'n_layers,hidden_size,input_size,batches,activation', [
(2, 2, 1, (1, 1, 1), "tanh"),
(2, 2, 1, (1, 1, 1), "relu"),
(2, 2, 3, (3, 2, 1), "tanh"),
(2, 2, 3, (3, 2, 1), "relu"),
(3, 4, 4, (4, 2, 1), "tanh"),
(3, 4, 4, (4, 2, 1), "relu"),
]),
chainer.testing.from_pytest_parameterize(
'in_dtypes,out_dtype', n_step_lstm_dtypes_valid)
])
))
class TestNStepBiRNN(op_utils.ChainerOpTest):
check_numpy_strides_compliance = False
dodge_nondifferentiable = True
def setup(self):
self.check_forward_options.update({
'rtol': 1e-2, 'atol': 1e-2})
self.check_backward_options.update({
'rtol': 1e-2, 'atol': 1e-2})
self.check_double_backward_options.update({
'rtol': 5e-2, 'atol': 5e-2})
if self.in_dtypes[0] == 'float16':
self.check_forward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
self.check_backward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
self.check_double_backward_options.update({
'rtol': 1e-1, 'atol': 1e-1})
device = chainerx.get_default_device()
if device.backend.name == 'cuda':
if self.in_dtypes[0] != 'float32':
self.skip_forward_test = True
self.skip_backward_test = True
self.skip_double_backward_test = True
def generate_inputs(self):
h_shape = (self.n_layers * 2, self.batches[0], self.hidden_size)
dtype = self.in_dtypes[0]
low = -1.0
high = 1.0
if dtype == 'float16':
low = -0.5
high = 0.5
h = array_utils.uniform(h_shape, dtype)
in_size = self.input_size
out_size = self.hidden_size
xs = [array_utils.uniform((self.batches[b], in_size),
dtype, low=low, high=high)
for b in range(len(self.batches))]
def w_in(i, j):
if i == 0 and j < 1:
return in_size
elif i > 0 and j < 1:
return out_size * 2
else:
return out_size
inputs = []
inputs.append(h)
for i in range(len(self.batches)):
inputs.append(xs[i])
for n in range(self.n_layers):
for direction in (0, 1):
for i in range(2):
inputs.append(array_utils.uniform(
(out_size, w_in(n, i)), dtype, low=low, high=high))
for i in range(2):
inputs.append(array_utils.uniform(
(out_size,), dtype, low=low, high=high))
return tuple(inputs)
def process_input(self, inputs):
h = inputs[0]
xs = inputs[1:1 + len(self.batches)]
ws = []
bs = []
index = 1 + len(self.batches)
for n in range(self.n_layers):
ws.append(inputs[index: index + 2])
bs.append(inputs[index + 2: index + 4])
ws.append(inputs[index + 4: index + 6])
bs.append(inputs[index + 6: index + 8])
index += 8
return h, ws, bs, xs
def forward_chainerx(self, inputs):
h, ws, bs, xs = self.process_input(inputs)
out = chainerx.n_step_birnn(
self.n_layers, h, ws, bs, xs, self.activation)
rets = []
rets.append(out[0])
for i in range(len(out[1])):
rets.append(out[1][i])
return tuple(rets)
def forward_chainer(self, inputs):
h, ws, bs, xs = self.process_input(inputs)
out = chainer.functions.n_step_birnn(
self.n_layers, 0.0, h, ws, bs, xs, self.activation)
rets = []
rets.append(out[0])
for i in range(len(out[1])):
rets.append(out[1][i])
return tuple(rets)
| 34.013678 | 75 | 0.529199 | 2,974 | 22,381 | 3.822798 | 0.044048 | 0.029554 | 0.053831 | 0.050136 | 0.962618 | 0.955933 | 0.944674 | 0.944322 | 0.93579 | 0.93579 | 0 | 0.038557 | 0.332514 | 22,381 | 657 | 76 | 34.065449 | 0.722471 | 0.007819 | 0 | 0.886726 | 0 | 0 | 0.042207 | 0.011532 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063717 | false | 0 | 0.00885 | 0.00531 | 0.153982 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6a2fc7662bfc89d6ef6bac31f5df562e398e2a49 | 15,143 | py | Python | django/Avinash/College_Management_System/CMS_project/CMS_app/urls.py | profMsaif/web_applications_2022 | 849cfeb396b82551e2553028d03fe9693773fc49 | [
"MIT"
] | null | null | null | django/Avinash/College_Management_System/CMS_project/CMS_app/urls.py | profMsaif/web_applications_2022 | 849cfeb396b82551e2553028d03fe9693773fc49 | [
"MIT"
] | null | null | null | django/Avinash/College_Management_System/CMS_project/CMS_app/urls.py | profMsaif/web_applications_2022 | 849cfeb396b82551e2553028d03fe9693773fc49 | [
"MIT"
] | 4 | 2022-03-12T10:17:00.000Z | 2022-03-26T08:40:43.000Z | from .import HodViews, StaffViews, StudentViews
from . import views
from django.urls import path, include
from django.contrib import admin
urlpatterns = [
path('', views.home, name="home"),
path('contact', views.contact, name="contact"),
path('login', views.loginUser, name="login"),
path('logout_user/', views.logout_user, name="logout_user"),
path('registration/', views.registration, name="registration"),
path('doLogin/', views.doLogin, name="doLogin"),
path('doRegistration/', views.doRegistration, name="doRegistration"),
# URLS for Student
path('student_home/', StudentViews.student_home, name="student_home"),
path('student_view_attendance/', StudentViews.student_view_attendance,
name="student_view_attendance"),
path('student_view_attendance_post/', StudentViews.student_view_attendance_post,
name="student_view_attendance_post"),
path('student_apply_leave/', StudentViews.student_apply_leave,
name="student_apply_leave"),
path('student_apply_leave_save/', StudentViews.student_apply_leave_save,
name="student_apply_leave_save"),
path('student_feedback/', StudentViews.student_feedback,
name="student_feedback"),
path('student_feedback_save/', StudentViews.student_feedback_save,
name="student_feedback_save"),
path('student_profile/', StudentViews.student_profile, name="student_profile"),
path('student_profile_update/', StudentViews.student_profile_update,
name="student_profile_update"),
path('student_view_result/', StudentViews.student_view_result,
name="student_view_result"),
# URLS for Staff
path('staff_home/', StaffViews.staff_home, name="staff_home"),
path('staff_take_attendance/', StaffViews.staff_take_attendance,
name="staff_take_attendance"),
path('get_students/', StaffViews.get_students, name="get_students"),
path('save_attendance_data/', StaffViews.save_attendance_data,
name="save_attendance_data"),
path('staff_update_attendance/', StaffViews.staff_update_attendance,
name="staff_update_attendance"),
path('get_attendance_dates/', StaffViews.get_attendance_dates,
name="get_attendance_dates"),
path('get_attendance_student/', StaffViews.get_attendance_student,
name="get_attendance_student"),
path('update_attendance_data/', StaffViews.update_attendance_data,
name="update_attendance_data"),
path('staff_apply_leave/', StaffViews.staff_apply_leave,
name="staff_apply_leave"),
path('staff_apply_leave_save/', StaffViews.staff_apply_leave_save,
name="staff_apply_leave_save"),
path('staff_feedback/', StaffViews.staff_feedback, name="staff_feedback"),
path('staff_feedback_save/', StaffViews.staff_feedback_save,
name="staff_feedback_save"),
path('staff_profile/', StaffViews.staff_profile, name="staff_profile"),
path('staff_profile_update/', StaffViews.staff_profile_update,
name="staff_profile_update"),
path('staff_add_result/', StaffViews.staff_add_result, name="staff_add_result"),
path('staff_add_result_save/', StaffViews.staff_add_result_save,
name="staff_add_result_save"),
# URL for Admin
path('admin_home/', HodViews.admin_home, name="admin_home"),
path('add_staff/', HodViews.add_staff, name="add_staff"),
path('add_staff_save/', HodViews.add_staff_save, name="add_staff_save"),
path('manage_staff/', HodViews.manage_staff, name="manage_staff"),
path('edit_staff/<staff_id>/', HodViews.edit_staff, name="edit_staff"),
path('edit_staff_save/', HodViews.edit_staff_save, name="edit_staff_save"),
path('delete_staff/<staff_id>/', HodViews.delete_staff, name="delete_staff"),
path('add_course/', HodViews.add_course, name="add_course"),
path('add_course_save/', HodViews.add_course_save, name="add_course_save"),
path('manage_course/', HodViews.manage_course, name="manage_course"),
path('edit_course/<course_id>/', HodViews.edit_course, name="edit_course"),
path('edit_course_save/', HodViews.edit_course_save, name="edit_course_save"),
path('delete_course/<course_id>/',
HodViews.delete_course, name="delete_course"),
path('manage_session/', HodViews.manage_session, name="manage_session"),
path('add_session/', HodViews.add_session, name="add_session"),
path('add_session_save/', HodViews.add_session_save, name="add_session_save"),
path('edit_session/<session_id>', HodViews.edit_session, name="edit_session"),
path('edit_session_save/', HodViews.edit_session_save,
name="edit_session_save"),
path('delete_session/<session_id>/',
HodViews.delete_session, name="delete_session"),
path('add_student/', HodViews.add_student, name="add_student"),
path('add_student_save/', HodViews.add_student_save, name="add_student_save"),
path('edit_student/<student_id>', HodViews.edit_student, name="edit_student"),
path('edit_student_save/', HodViews.edit_student_save,
name="edit_student_save"),
path('manage_student/', HodViews.manage_student, name="manage_student"),
path('delete_student/<student_id>/',
HodViews.delete_student, name="delete_student"),
path('add_subject/', HodViews.add_subject, name="add_subject"),
path('add_subject_save/', HodViews.add_subject_save, name="add_subject_save"),
path('manage_subject/', HodViews.manage_subject, name="manage_subject"),
path('edit_subject/<subject_id>/',
HodViews.edit_subject, name="edit_subject"),
path('edit_subject_save/', HodViews.edit_subject_save,
name="edit_subject_save"),
path('delete_subject/<subject_id>/',
HodViews.delete_subject, name="delete_subject"),
path('check_email_exist/', HodViews.check_email_exist,
name="check_email_exist"),
path('check_username_exist/', HodViews.check_username_exist,
name="check_username_exist"),
path('student_feedback_message/', HodViews.student_feedback_message,
name="student_feedback_message"),
path('student_feedback_message_reply/', HodViews.student_feedback_message_reply,
name="student_feedback_message_reply"),
path('staff_feedback_message/', HodViews.staff_feedback_message,
name="staff_feedback_message"),
path('staff_feedback_message_reply/', HodViews.staff_feedback_message_reply,
name="staff_feedback_message_reply"),
path('student_leave_view/', HodViews.student_leave_view,
name="student_leave_view"),
path('student_leave_approve/<leave_id>/',
HodViews.student_leave_approve, name="student_leave_approve"),
path('student_leave_reject/<leave_id>/',
HodViews.student_leave_reject, name="student_leave_reject"),
path('staff_leave_view/', HodViews.staff_leave_view, name="staff_leave_view"),
path('staff_leave_approve/<leave_id>/',
HodViews.staff_leave_approve, name="staff_leave_approve"),
path('staff_leave_reject/<leave_id>/',
HodViews.staff_leave_reject, name="staff_leave_reject"),
path('admin_view_attendance/', HodViews.admin_view_attendance,
name="admin_view_attendance"),
path('admin_get_attendance_dates/', HodViews.admin_get_attendance_dates,
name="admin_get_attendance_dates"),
path('admin_get_attendance_student/', HodViews.admin_get_attendance_student,
name="admin_get_attendance_student"),
path('admin_profile/', HodViews.admin_profile, name="admin_profile"),
path('admin_profile_update/', HodViews.admin_profile_update,
name="admin_profile_update"),
]
urlpatterns = [
path('admin/', admin.site.urls),
path('', views.home, name="home"),
path('contact', views.contact, name="contact"),
path('login', views.loginUser, name="login"),
path('logout_user', views.logout_user, name="logout_user"),
path('registration', views.registration, name="registration"),
path('doLogin', views.doLogin, name="doLogin"),
path('doRegistration', views.doRegistration, name="doRegistration"),
# URLS for Student
path('student_home/', StudentViews.student_home, name="student_home"),
path('student_view_attendance/', StudentViews.student_view_attendance,
name="student_view_attendance"),
path('student_view_attendance_post/', StudentViews.student_view_attendance_post,
name="student_view_attendance_post"),
path('student_apply_leave/', StudentViews.student_apply_leave,
name="student_apply_leave"),
path('student_apply_leave_save/', StudentViews.student_apply_leave_save,
name="student_apply_leave_save"),
path('student_feedback/', StudentViews.student_feedback,
name="student_feedback"),
path('student_feedback_save/', StudentViews.student_feedback_save,
name="student_feedback_save"),
path('student_profile/', StudentViews.student_profile, name="student_profile"),
path('student_profile_update/', StudentViews.student_profile_update,
name="student_profile_update"),
path('student_view_result/', StudentViews.student_view_result,
name="student_view_result"),
# URLS for Staff
path('staff_home/', StaffViews.staff_home, name="staff_home"),
path('staff_take_attendance/', StaffViews.staff_take_attendance,
name="staff_take_attendance"),
path('get_students/', StaffViews.get_students, name="get_students"),
path('save_attendance_data/', StaffViews.save_attendance_data,
name="save_attendance_data"),
path('staff_update_attendance/', StaffViews.staff_update_attendance,
name="staff_update_attendance"),
path('get_attendance_dates/', StaffViews.get_attendance_dates,
name="get_attendance_dates"),
path('get_attendance_student/', StaffViews.get_attendance_student,
name="get_attendance_student"),
path('update_attendance_data/', StaffViews.update_attendance_data,
name="update_attendance_data"),
path('staff_apply_leave/', StaffViews.staff_apply_leave,
name="staff_apply_leave"),
path('staff_apply_leave_save/', StaffViews.staff_apply_leave_save,
name="staff_apply_leave_save"),
path('staff_feedback/', StaffViews.staff_feedback, name="staff_feedback"),
path('staff_feedback_save/', StaffViews.staff_feedback_save,
name="staff_feedback_save"),
path('staff_profile/', StaffViews.staff_profile, name="staff_profile"),
path('staff_profile_update/', StaffViews.staff_profile_update,
name="staff_profile_update"),
path('staff_add_result/', StaffViews.staff_add_result, name="staff_add_result"),
path('staff_add_result_save/', StaffViews.staff_add_result_save,
name="staff_add_result_save"),
# URL for Admin
path('admin_home/', HodViews.admin_home, name="admin_home"),
path('add_staff/', HodViews.add_staff, name="add_staff"),
path('add_staff_save/', HodViews.add_staff_save, name="add_staff_save"),
path('manage_staff/', HodViews.manage_staff, name="manage_staff"),
path('edit_staff/<staff_id>/', HodViews.edit_staff, name="edit_staff"),
path('edit_staff_save/', HodViews.edit_staff_save, name="edit_staff_save"),
path('delete_staff/<staff_id>/', HodViews.delete_staff, name="delete_staff"),
path('add_course/', HodViews.add_course, name="add_course"),
path('add_course_save/', HodViews.add_course_save, name="add_course_save"),
path('manage_course/', HodViews.manage_course, name="manage_course"),
path('edit_course/<course_id>/', HodViews.edit_course, name="edit_course"),
path('edit_course_save/', HodViews.edit_course_save, name="edit_course_save"),
path('delete_course/<course_id>/',
HodViews.delete_course, name="delete_course"),
path('manage_session/', HodViews.manage_session, name="manage_session"),
path('add_session/', HodViews.add_session, name="add_session"),
path('add_session_save/', HodViews.add_session_save, name="add_session_save"),
path('edit_session/<session_id>', HodViews.edit_session, name="edit_session"),
path('edit_session_save/', HodViews.edit_session_save,
name="edit_session_save"),
path('delete_session/<session_id>/',
HodViews.delete_session, name="delete_session"),
path('add_student/', HodViews.add_student, name="add_student"),
path('add_student_save/', HodViews.add_student_save, name="add_student_save"),
path('edit_student/<student_id>', HodViews.edit_student, name="edit_student"),
path('edit_student_save/', HodViews.edit_student_save,
name="edit_student_save"),
path('manage_student/', HodViews.manage_student, name="manage_student"),
path('delete_student/<student_id>/',
HodViews.delete_student, name="delete_student"),
path('add_subject/', HodViews.add_subject, name="add_subject"),
path('add_subject_save/', HodViews.add_subject_save, name="add_subject_save"),
path('manage_subject/', HodViews.manage_subject, name="manage_subject"),
path('edit_subject/<subject_id>/',
HodViews.edit_subject, name="edit_subject"),
path('edit_subject_save/', HodViews.edit_subject_save,
name="edit_subject_save"),
path('delete_subject/<subject_id>/',
HodViews.delete_subject, name="delete_subject"),
path('check_email_exist/', HodViews.check_email_exist,
name="check_email_exist"),
path('check_username_exist/', HodViews.check_username_exist,
name="check_username_exist"),
path('student_feedback_message/', HodViews.student_feedback_message,
name="student_feedback_message"),
path('student_feedback_message_reply/', HodViews.student_feedback_message_reply,
name="student_feedback_message_reply"),
path('staff_feedback_message/', HodViews.staff_feedback_message,
name="staff_feedback_message"),
path('staff_feedback_message_reply/', HodViews.staff_feedback_message_reply,
name="staff_feedback_message_reply"),
path('student_leave_view/', HodViews.student_leave_view,
name="student_leave_view"),
path('student_leave_approve/<leave_id>/',
HodViews.student_leave_approve, name="student_leave_approve"),
path('student_leave_reject/<leave_id>/',
HodViews.student_leave_reject, name="student_leave_reject"),
path('staff_leave_view/', HodViews.staff_leave_view, name="staff_leave_view"),
path('staff_leave_approve/<leave_id>/',
HodViews.staff_leave_approve, name="staff_leave_approve"),
path('staff_leave_reject/<leave_id>/',
HodViews.staff_leave_reject, name="staff_leave_reject"),
path('admin_view_attendance/', HodViews.admin_view_attendance,
name="admin_view_attendance"),
path('admin_get_attendance_dates/', HodViews.admin_get_attendance_dates,
name="admin_get_attendance_dates"),
path('admin_get_attendance_student/', HodViews.admin_get_attendance_student,
name="admin_get_attendance_student"),
path('admin_profile/', HodViews.admin_profile, name="admin_profile"),
path('admin_profile_update/', HodViews.admin_profile_update,
name="admin_profile_update"),
]
| 55.878229 | 84 | 0.734465 | 1,838 | 15,143 | 5.618063 | 0.0321 | 0.027891 | 0.024404 | 0.014526 | 0.984699 | 0.984699 | 0.984699 | 0.984699 | 0.984699 | 0.984699 | 0 | 0 | 0.130687 | 15,143 | 270 | 85 | 56.085185 | 0.784412 | 0.006009 | 0 | 0.941176 | 0 | 0 | 0.384048 | 0.183716 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.015686 | 0 | 0.015686 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6a447067f79a24f9a96374b62dd4f696aab9a5b9 | 66,824 | py | Python | google/ads/google_ads/v6/proto/resources/ad_group_criterion_pb2.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v6/proto/resources/ad_group_criterion_pb2.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v6/proto/resources/ad_group_criterion_pb2.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/ads/googleads/v6/resources/ad_group_criterion.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from google.ads.google_ads.v6.proto.common import criteria_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2
from google.ads.google_ads.v6.proto.common import custom_parameter_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_common_dot_custom__parameter__pb2
from google.ads.google_ads.v6.proto.enums import ad_group_criterion_approval_status_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_ad__group__criterion__approval__status__pb2
from google.ads.google_ads.v6.proto.enums import ad_group_criterion_status_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_ad__group__criterion__status__pb2
from google.ads.google_ads.v6.proto.enums import bidding_source_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_bidding__source__pb2
from google.ads.google_ads.v6.proto.enums import criterion_system_serving_status_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_criterion__system__serving__status__pb2
from google.ads.google_ads.v6.proto.enums import criterion_type_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_criterion__type__pb2
from google.ads.google_ads.v6.proto.enums import quality_score_bucket_pb2 as google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_quality__score__bucket__pb2
from google.api import field_behavior_pb2 as google_dot_api_dot_field__behavior__pb2
from google.api import resource_pb2 as google_dot_api_dot_resource__pb2
from google.api import annotations_pb2 as google_dot_api_dot_annotations__pb2
DESCRIPTOR = _descriptor.FileDescriptor(
name='google/ads/googleads/v6/resources/ad_group_criterion.proto',
package='google.ads.googleads.v6.resources',
syntax='proto3',
serialized_options=b'\n%com.google.ads.googleads.v6.resourcesB\025AdGroupCriterionProtoP\001ZJgoogle.golang.org/genproto/googleapis/ads/googleads/v6/resources;resources\242\002\003GAA\252\002!Google.Ads.GoogleAds.V6.Resources\312\002!Google\\Ads\\GoogleAds\\V6\\Resources\352\002%Google::Ads::GoogleAds::V6::Resources',
create_key=_descriptor._internal_create_key,
serialized_pb=b'\n:google/ads/googleads/v6/resources/ad_group_criterion.proto\x12!google.ads.googleads.v6.resources\x1a-google/ads/googleads/v6/common/criteria.proto\x1a\x35google/ads/googleads/v6/common/custom_parameter.proto\x1a\x46google/ads/googleads/v6/enums/ad_group_criterion_approval_status.proto\x1a=google/ads/googleads/v6/enums/ad_group_criterion_status.proto\x1a\x32google/ads/googleads/v6/enums/bidding_source.proto\x1a\x43google/ads/googleads/v6/enums/criterion_system_serving_status.proto\x1a\x32google/ads/googleads/v6/enums/criterion_type.proto\x1a\x38google/ads/googleads/v6/enums/quality_score_bucket.proto\x1a\x1fgoogle/api/field_behavior.proto\x1a\x19google/api/resource.proto\x1a\x1cgoogle/api/annotations.proto\"\xe2$\n\x10\x41\x64GroupCriterion\x12H\n\rresource_name\x18\x01 \x01(\tB1\xe0\x41\x05\xfa\x41+\n)googleads.googleapis.com/AdGroupCriterion\x12\x1e\n\x0c\x63riterion_id\x18\x38 \x01(\x03\x42\x03\xe0\x41\x03H\x01\x88\x01\x01\x12`\n\x06status\x18\x03 \x01(\x0e\x32P.google.ads.googleads.v6.enums.AdGroupCriterionStatusEnum.AdGroupCriterionStatus\x12Z\n\x0cquality_info\x18\x04 \x01(\x0b\x32?.google.ads.googleads.v6.resources.AdGroupCriterion.QualityInfoB\x03\xe0\x41\x03\x12?\n\x08\x61\x64_group\x18\x39 \x01(\tB(\xe0\x41\x05\xfa\x41\"\n googleads.googleapis.com/AdGroupH\x02\x88\x01\x01\x12Q\n\x04type\x18\x19 \x01(\x0e\x32>.google.ads.googleads.v6.enums.CriterionTypeEnum.CriterionTypeB\x03\xe0\x41\x03\x12\x1a\n\x08negative\x18: \x01(\x08\x42\x03\xe0\x41\x05H\x03\x88\x01\x01\x12\x80\x01\n\x15system_serving_status\x18\x34 \x01(\x0e\x32\\.google.ads.googleads.v6.enums.CriterionSystemServingStatusEnum.CriterionSystemServingStatusB\x03\xe0\x41\x03\x12~\n\x0f\x61pproval_status\x18\x35 \x01(\x0e\x32`.google.ads.googleads.v6.enums.AdGroupCriterionApprovalStatusEnum.AdGroupCriterionApprovalStatusB\x03\xe0\x41\x03\x12 \n\x13\x64isapproval_reasons\x18; \x03(\tB\x03\xe0\x41\x03\x12\x19\n\x0c\x62id_modifier\x18= \x01(\x01H\x04\x88\x01\x01\x12\x1b\n\x0e\x63pc_bid_micros\x18> \x01(\x03H\x05\x88\x01\x01\x12\x1b\n\x0e\x63pm_bid_micros\x18? \x01(\x03H\x06\x88\x01\x01\x12\x1b\n\x0e\x63pv_bid_micros\x18@ \x01(\x03H\x07\x88\x01\x01\x12#\n\x16percent_cpc_bid_micros\x18\x41 \x01(\x03H\x08\x88\x01\x01\x12*\n\x18\x65\x66\x66\x65\x63tive_cpc_bid_micros\x18\x42 \x01(\x03\x42\x03\xe0\x41\x03H\t\x88\x01\x01\x12*\n\x18\x65\x66\x66\x65\x63tive_cpm_bid_micros\x18\x43 \x01(\x03\x42\x03\xe0\x41\x03H\n\x88\x01\x01\x12*\n\x18\x65\x66\x66\x65\x63tive_cpv_bid_micros\x18\x44 \x01(\x03\x42\x03\xe0\x41\x03H\x0b\x88\x01\x01\x12\x32\n effective_percent_cpc_bid_micros\x18\x45 \x01(\x03\x42\x03\xe0\x41\x03H\x0c\x88\x01\x01\x12\x65\n\x18\x65\x66\x66\x65\x63tive_cpc_bid_source\x18\x15 \x01(\x0e\x32>.google.ads.googleads.v6.enums.BiddingSourceEnum.BiddingSourceB\x03\xe0\x41\x03\x12\x65\n\x18\x65\x66\x66\x65\x63tive_cpm_bid_source\x18\x16 \x01(\x0e\x32>.google.ads.googleads.v6.enums.BiddingSourceEnum.BiddingSourceB\x03\xe0\x41\x03\x12\x65\n\x18\x65\x66\x66\x65\x63tive_cpv_bid_source\x18\x17 \x01(\x0e\x32>.google.ads.googleads.v6.enums.BiddingSourceEnum.BiddingSourceB\x03\xe0\x41\x03\x12m\n effective_percent_cpc_bid_source\x18# \x01(\x0e\x32>.google.ads.googleads.v6.enums.BiddingSourceEnum.BiddingSourceB\x03\xe0\x41\x03\x12\x66\n\x12position_estimates\x18\n \x01(\x0b\x32\x45.google.ads.googleads.v6.resources.AdGroupCriterion.PositionEstimatesB\x03\xe0\x41\x03\x12\x12\n\nfinal_urls\x18\x46 \x03(\t\x12\x19\n\x11\x66inal_mobile_urls\x18G \x03(\t\x12\x1d\n\x10\x66inal_url_suffix\x18H \x01(\tH\r\x88\x01\x01\x12\"\n\x15tracking_url_template\x18I \x01(\tH\x0e\x88\x01\x01\x12N\n\x15url_custom_parameters\x18\x0e \x03(\x0b\x32/.google.ads.googleads.v6.common.CustomParameter\x12\x43\n\x07keyword\x18\x1b \x01(\x0b\x32+.google.ads.googleads.v6.common.KeywordInfoB\x03\xe0\x41\x05H\x00\x12G\n\tplacement\x18\x1c \x01(\x0b\x32-.google.ads.googleads.v6.common.PlacementInfoB\x03\xe0\x41\x05H\x00\x12Y\n\x13mobile_app_category\x18\x1d \x01(\x0b\x32\x35.google.ads.googleads.v6.common.MobileAppCategoryInfoB\x03\xe0\x41\x05H\x00\x12X\n\x12mobile_application\x18\x1e \x01(\x0b\x32\x35.google.ads.googleads.v6.common.MobileApplicationInfoB\x03\xe0\x41\x05H\x00\x12N\n\rlisting_group\x18 \x01(\x0b\x32\x30.google.ads.googleads.v6.common.ListingGroupInfoB\x03\xe0\x41\x05H\x00\x12\x46\n\tage_range\x18$ \x01(\x0b\x32,.google.ads.googleads.v6.common.AgeRangeInfoB\x03\xe0\x41\x05H\x00\x12\x41\n\x06gender\x18% \x01(\x0b\x32*.google.ads.googleads.v6.common.GenderInfoB\x03\xe0\x41\x05H\x00\x12L\n\x0cincome_range\x18& \x01(\x0b\x32/.google.ads.googleads.v6.common.IncomeRangeInfoB\x03\xe0\x41\x05H\x00\x12R\n\x0fparental_status\x18\' \x01(\x0b\x32\x32.google.ads.googleads.v6.common.ParentalStatusInfoB\x03\xe0\x41\x05H\x00\x12\x46\n\tuser_list\x18* \x01(\x0b\x32,.google.ads.googleads.v6.common.UserListInfoB\x03\xe0\x41\x05H\x00\x12N\n\ryoutube_video\x18( \x01(\x0b\x32\x30.google.ads.googleads.v6.common.YouTubeVideoInfoB\x03\xe0\x41\x05H\x00\x12R\n\x0fyoutube_channel\x18) \x01(\x0b\x32\x32.google.ads.googleads.v6.common.YouTubeChannelInfoB\x03\xe0\x41\x05H\x00\x12?\n\x05topic\x18+ \x01(\x0b\x32).google.ads.googleads.v6.common.TopicInfoB\x03\xe0\x41\x05H\x00\x12N\n\ruser_interest\x18- \x01(\x0b\x32\x30.google.ads.googleads.v6.common.UserInterestInfoB\x03\xe0\x41\x05H\x00\x12\x43\n\x07webpage\x18. \x01(\x0b\x32+.google.ads.googleads.v6.common.WebpageInfoB\x03\xe0\x41\x05H\x00\x12U\n\x11\x61pp_payment_model\x18/ \x01(\x0b\x32\x33.google.ads.googleads.v6.common.AppPaymentModelInfoB\x03\xe0\x41\x05H\x00\x12R\n\x0f\x63ustom_affinity\x18\x30 \x01(\x0b\x32\x32.google.ads.googleads.v6.common.CustomAffinityInfoB\x03\xe0\x41\x05H\x00\x12N\n\rcustom_intent\x18\x31 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\x01(\x03\x42\x03\xe0\x41\x03H\x00\x88\x01\x01\x12+\n\x19\x66irst_position_cpc_micros\x18\x07 \x01(\x03\x42\x03\xe0\x41\x03H\x01\x88\x01\x01\x12(\n\x16top_of_page_cpc_micros\x18\x08 \x01(\x03\x42\x03\xe0\x41\x03H\x02\x88\x01\x01\x12<\n*estimated_add_clicks_at_first_position_cpc\x18\t \x01(\x03\x42\x03\xe0\x41\x03H\x03\x88\x01\x01\x12:\n(estimated_add_cost_at_first_position_cpc\x18\n \x01(\x03\x42\x03\xe0\x41\x03H\x04\x88\x01\x01\x42\x18\n\x16_first_page_cpc_microsB\x1c\n\x1a_first_position_cpc_microsB\x19\n\x17_top_of_page_cpc_microsB-\n+_estimated_add_clicks_at_first_position_cpcB+\n)_estimated_add_cost_at_first_position_cpc:t\xea\x41q\n)googleads.googleapis.com/AdGroupCriterion\x12\x44\x63ustomers/{customer_id}/adGroupCriteria/{ad_group_id}~{criterion_id}B\x0b\n\tcriterionB\x0f\n\r_criterion_idB\x0b\n\t_ad_groupB\x0b\n\t_negativeB\x0f\n\r_bid_modifierB\x11\n\x0f_cpc_bid_microsB\x11\n\x0f_cpm_bid_microsB\x11\n\x0f_cpv_bid_microsB\x19\n\x17_percent_cpc_bid_microsB\x1b\n\x19_effective_cpc_bid_microsB\x1b\n\x19_effective_cpm_bid_microsB\x1b\n\x19_effective_cpv_bid_microsB#\n!_effective_percent_cpc_bid_microsB\x13\n\x11_final_url_suffixB\x18\n\x16_tracking_url_templateB\x82\x02\n%com.google.ads.googleads.v6.resourcesB\x15\x41\x64GroupCriterionProtoP\x01ZJgoogle.golang.org/genproto/googleapis/ads/googleads/v6/resources;resources\xa2\x02\x03GAA\xaa\x02!Google.Ads.GoogleAds.V6.Resources\xca\x02!Google\\Ads\\GoogleAds\\V6\\Resources\xea\x02%Google::Ads::GoogleAds::V6::Resourcesb\x06proto3'
,
dependencies=[google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_common_dot_custom__parameter__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_ad__group__criterion__approval__status__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_ad__group__criterion__status__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_bidding__source__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_criterion__system__serving__status__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_criterion__type__pb2.DESCRIPTOR,google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_quality__score__bucket__pb2.DESCRIPTOR,google_dot_api_dot_field__behavior__pb2.DESCRIPTOR,google_dot_api_dot_resource__pb2.DESCRIPTOR,google_dot_api_dot_annotations__pb2.DESCRIPTOR,])
_ADGROUPCRITERION_QUALITYINFO = _descriptor.Descriptor(
name='QualityInfo',
full_name='google.ads.googleads.v6.resources.AdGroupCriterion.QualityInfo',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='quality_score', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.QualityInfo.quality_score', index=0,
number=5, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='creative_quality_score', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.QualityInfo.creative_quality_score', index=1,
number=2, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='post_click_quality_score', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.QualityInfo.post_click_quality_score', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='search_predicted_ctr', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.QualityInfo.search_predicted_ctr', index=3,
number=4, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='_quality_score', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.QualityInfo._quality_score',
index=0, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
],
serialized_start=4072,
serialized_end=4469,
)
_ADGROUPCRITERION_POSITIONESTIMATES = _descriptor.Descriptor(
name='PositionEstimates',
full_name='google.ads.googleads.v6.resources.AdGroupCriterion.PositionEstimates',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='first_page_cpc_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.PositionEstimates.first_page_cpc_micros', index=0,
number=6, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='first_position_cpc_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.PositionEstimates.first_position_cpc_micros', index=1,
number=7, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='top_of_page_cpc_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.PositionEstimates.top_of_page_cpc_micros', index=2,
number=8, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='estimated_add_clicks_at_first_position_cpc', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.PositionEstimates.estimated_add_clicks_at_first_position_cpc', index=3,
number=9, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='estimated_add_cost_at_first_position_cpc', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.PositionEstimates.estimated_add_cost_at_first_position_cpc', index=4,
number=10, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='_first_page_cpc_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.PositionEstimates._first_page_cpc_micros',
index=0, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_first_position_cpc_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.PositionEstimates._first_position_cpc_micros',
index=1, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_top_of_page_cpc_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.PositionEstimates._top_of_page_cpc_micros',
index=2, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_estimated_add_clicks_at_first_position_cpc', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.PositionEstimates._estimated_add_clicks_at_first_position_cpc',
index=3, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_estimated_add_cost_at_first_position_cpc', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.PositionEstimates._estimated_add_cost_at_first_position_cpc',
index=4, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
],
serialized_start=4472,
serialized_end=4916,
)
_ADGROUPCRITERION = _descriptor.Descriptor(
name='AdGroupCriterion',
full_name='google.ads.googleads.v6.resources.AdGroupCriterion',
filename=None,
file=DESCRIPTOR,
containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[
_descriptor.FieldDescriptor(
name='resource_name', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.resource_name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005\372A+\n)googleads.googleapis.com/AdGroupCriterion', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='criterion_id', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.criterion_id', index=1,
number=56, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='status', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.status', index=2,
number=3, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='quality_info', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.quality_info', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='ad_group', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.ad_group', index=4,
number=57, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005\372A\"\n googleads.googleapis.com/AdGroup', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='type', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.type', index=5,
number=25, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='negative', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.negative', index=6,
number=58, type=8, cpp_type=7, label=1,
has_default_value=False, default_value=False,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='system_serving_status', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.system_serving_status', index=7,
number=52, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='approval_status', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.approval_status', index=8,
number=53, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='disapproval_reasons', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.disapproval_reasons', index=9,
number=59, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='bid_modifier', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.bid_modifier', index=10,
number=61, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='cpc_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.cpc_bid_micros', index=11,
number=62, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='cpm_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.cpm_bid_micros', index=12,
number=63, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='cpv_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.cpv_bid_micros', index=13,
number=64, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='percent_cpc_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.percent_cpc_bid_micros', index=14,
number=65, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='effective_cpc_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.effective_cpc_bid_micros', index=15,
number=66, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='effective_cpm_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.effective_cpm_bid_micros', index=16,
number=67, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='effective_cpv_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.effective_cpv_bid_micros', index=17,
number=68, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='effective_percent_cpc_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.effective_percent_cpc_bid_micros', index=18,
number=69, type=3, cpp_type=2, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='effective_cpc_bid_source', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.effective_cpc_bid_source', index=19,
number=21, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='effective_cpm_bid_source', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.effective_cpm_bid_source', index=20,
number=22, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='effective_cpv_bid_source', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.effective_cpv_bid_source', index=21,
number=23, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='effective_percent_cpc_bid_source', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.effective_percent_cpc_bid_source', index=22,
number=35, type=14, cpp_type=8, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='position_estimates', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.position_estimates', index=23,
number=10, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\003', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='final_urls', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.final_urls', index=24,
number=70, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='final_mobile_urls', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.final_mobile_urls', index=25,
number=71, type=9, cpp_type=9, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='final_url_suffix', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.final_url_suffix', index=26,
number=72, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='tracking_url_template', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.tracking_url_template', index=27,
number=73, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=b"".decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='url_custom_parameters', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.url_custom_parameters', index=28,
number=14, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='keyword', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.keyword', index=29,
number=27, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='placement', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.placement', index=30,
number=28, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='mobile_app_category', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.mobile_app_category', index=31,
number=29, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='mobile_application', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.mobile_application', index=32,
number=30, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='listing_group', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.listing_group', index=33,
number=32, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='age_range', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.age_range', index=34,
number=36, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='gender', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.gender', index=35,
number=37, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='income_range', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.income_range', index=36,
number=38, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='parental_status', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.parental_status', index=37,
number=39, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='user_list', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.user_list', index=38,
number=42, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='youtube_video', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.youtube_video', index=39,
number=40, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='youtube_channel', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.youtube_channel', index=40,
number=41, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='topic', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.topic', index=41,
number=43, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='user_interest', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.user_interest', index=42,
number=45, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='webpage', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.webpage', index=43,
number=46, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='app_payment_model', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.app_payment_model', index=44,
number=47, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='custom_affinity', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.custom_affinity', index=45,
number=48, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='custom_intent', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.custom_intent', index=46,
number=49, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='custom_audience', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.custom_audience', index=47,
number=74, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
_descriptor.FieldDescriptor(
name='combined_audience', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.combined_audience', index=48,
number=75, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=b'\340A\005', file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
],
extensions=[
],
nested_types=[_ADGROUPCRITERION_QUALITYINFO, _ADGROUPCRITERION_POSITIONESTIMATES, ],
enum_types=[
],
serialized_options=b'\352Aq\n)googleads.googleapis.com/AdGroupCriterion\022Dcustomers/{customer_id}/adGroupCriteria/{ad_group_id}~{criterion_id}',
is_extendable=False,
syntax='proto3',
extension_ranges=[],
oneofs=[
_descriptor.OneofDescriptor(
name='criterion', full_name='google.ads.googleads.v6.resources.AdGroupCriterion.criterion',
index=0, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_criterion_id', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._criterion_id',
index=1, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_ad_group', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._ad_group',
index=2, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_negative', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._negative',
index=3, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_bid_modifier', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._bid_modifier',
index=4, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_cpc_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._cpc_bid_micros',
index=5, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_cpm_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._cpm_bid_micros',
index=6, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_cpv_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._cpv_bid_micros',
index=7, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_percent_cpc_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._percent_cpc_bid_micros',
index=8, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_effective_cpc_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._effective_cpc_bid_micros',
index=9, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_effective_cpm_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._effective_cpm_bid_micros',
index=10, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_effective_cpv_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._effective_cpv_bid_micros',
index=11, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_effective_percent_cpc_bid_micros', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._effective_percent_cpc_bid_micros',
index=12, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_final_url_suffix', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._final_url_suffix',
index=13, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
_descriptor.OneofDescriptor(
name='_tracking_url_template', full_name='google.ads.googleads.v6.resources.AdGroupCriterion._tracking_url_template',
index=14, containing_type=None,
create_key=_descriptor._internal_create_key,
fields=[]),
],
serialized_start=656,
serialized_end=5362,
)
_ADGROUPCRITERION_QUALITYINFO.fields_by_name['creative_quality_score'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_quality__score__bucket__pb2._QUALITYSCOREBUCKETENUM_QUALITYSCOREBUCKET
_ADGROUPCRITERION_QUALITYINFO.fields_by_name['post_click_quality_score'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_quality__score__bucket__pb2._QUALITYSCOREBUCKETENUM_QUALITYSCOREBUCKET
_ADGROUPCRITERION_QUALITYINFO.fields_by_name['search_predicted_ctr'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_quality__score__bucket__pb2._QUALITYSCOREBUCKETENUM_QUALITYSCOREBUCKET
_ADGROUPCRITERION_QUALITYINFO.containing_type = _ADGROUPCRITERION
_ADGROUPCRITERION_QUALITYINFO.oneofs_by_name['_quality_score'].fields.append(
_ADGROUPCRITERION_QUALITYINFO.fields_by_name['quality_score'])
_ADGROUPCRITERION_QUALITYINFO.fields_by_name['quality_score'].containing_oneof = _ADGROUPCRITERION_QUALITYINFO.oneofs_by_name['_quality_score']
_ADGROUPCRITERION_POSITIONESTIMATES.containing_type = _ADGROUPCRITERION
_ADGROUPCRITERION_POSITIONESTIMATES.oneofs_by_name['_first_page_cpc_micros'].fields.append(
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['first_page_cpc_micros'])
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['first_page_cpc_micros'].containing_oneof = _ADGROUPCRITERION_POSITIONESTIMATES.oneofs_by_name['_first_page_cpc_micros']
_ADGROUPCRITERION_POSITIONESTIMATES.oneofs_by_name['_first_position_cpc_micros'].fields.append(
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['first_position_cpc_micros'])
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['first_position_cpc_micros'].containing_oneof = _ADGROUPCRITERION_POSITIONESTIMATES.oneofs_by_name['_first_position_cpc_micros']
_ADGROUPCRITERION_POSITIONESTIMATES.oneofs_by_name['_top_of_page_cpc_micros'].fields.append(
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['top_of_page_cpc_micros'])
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['top_of_page_cpc_micros'].containing_oneof = _ADGROUPCRITERION_POSITIONESTIMATES.oneofs_by_name['_top_of_page_cpc_micros']
_ADGROUPCRITERION_POSITIONESTIMATES.oneofs_by_name['_estimated_add_clicks_at_first_position_cpc'].fields.append(
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['estimated_add_clicks_at_first_position_cpc'])
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['estimated_add_clicks_at_first_position_cpc'].containing_oneof = _ADGROUPCRITERION_POSITIONESTIMATES.oneofs_by_name['_estimated_add_clicks_at_first_position_cpc']
_ADGROUPCRITERION_POSITIONESTIMATES.oneofs_by_name['_estimated_add_cost_at_first_position_cpc'].fields.append(
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['estimated_add_cost_at_first_position_cpc'])
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['estimated_add_cost_at_first_position_cpc'].containing_oneof = _ADGROUPCRITERION_POSITIONESTIMATES.oneofs_by_name['_estimated_add_cost_at_first_position_cpc']
_ADGROUPCRITERION.fields_by_name['status'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_ad__group__criterion__status__pb2._ADGROUPCRITERIONSTATUSENUM_ADGROUPCRITERIONSTATUS
_ADGROUPCRITERION.fields_by_name['quality_info'].message_type = _ADGROUPCRITERION_QUALITYINFO
_ADGROUPCRITERION.fields_by_name['type'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_criterion__type__pb2._CRITERIONTYPEENUM_CRITERIONTYPE
_ADGROUPCRITERION.fields_by_name['system_serving_status'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_criterion__system__serving__status__pb2._CRITERIONSYSTEMSERVINGSTATUSENUM_CRITERIONSYSTEMSERVINGSTATUS
_ADGROUPCRITERION.fields_by_name['approval_status'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_ad__group__criterion__approval__status__pb2._ADGROUPCRITERIONAPPROVALSTATUSENUM_ADGROUPCRITERIONAPPROVALSTATUS
_ADGROUPCRITERION.fields_by_name['effective_cpc_bid_source'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_bidding__source__pb2._BIDDINGSOURCEENUM_BIDDINGSOURCE
_ADGROUPCRITERION.fields_by_name['effective_cpm_bid_source'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_bidding__source__pb2._BIDDINGSOURCEENUM_BIDDINGSOURCE
_ADGROUPCRITERION.fields_by_name['effective_cpv_bid_source'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_bidding__source__pb2._BIDDINGSOURCEENUM_BIDDINGSOURCE
_ADGROUPCRITERION.fields_by_name['effective_percent_cpc_bid_source'].enum_type = google_dot_ads_dot_googleads_dot_v6_dot_enums_dot_bidding__source__pb2._BIDDINGSOURCEENUM_BIDDINGSOURCE
_ADGROUPCRITERION.fields_by_name['position_estimates'].message_type = _ADGROUPCRITERION_POSITIONESTIMATES
_ADGROUPCRITERION.fields_by_name['url_custom_parameters'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_custom__parameter__pb2._CUSTOMPARAMETER
_ADGROUPCRITERION.fields_by_name['keyword'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._KEYWORDINFO
_ADGROUPCRITERION.fields_by_name['placement'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._PLACEMENTINFO
_ADGROUPCRITERION.fields_by_name['mobile_app_category'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._MOBILEAPPCATEGORYINFO
_ADGROUPCRITERION.fields_by_name['mobile_application'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._MOBILEAPPLICATIONINFO
_ADGROUPCRITERION.fields_by_name['listing_group'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._LISTINGGROUPINFO
_ADGROUPCRITERION.fields_by_name['age_range'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._AGERANGEINFO
_ADGROUPCRITERION.fields_by_name['gender'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._GENDERINFO
_ADGROUPCRITERION.fields_by_name['income_range'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._INCOMERANGEINFO
_ADGROUPCRITERION.fields_by_name['parental_status'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._PARENTALSTATUSINFO
_ADGROUPCRITERION.fields_by_name['user_list'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._USERLISTINFO
_ADGROUPCRITERION.fields_by_name['youtube_video'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._YOUTUBEVIDEOINFO
_ADGROUPCRITERION.fields_by_name['youtube_channel'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._YOUTUBECHANNELINFO
_ADGROUPCRITERION.fields_by_name['topic'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._TOPICINFO
_ADGROUPCRITERION.fields_by_name['user_interest'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._USERINTERESTINFO
_ADGROUPCRITERION.fields_by_name['webpage'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._WEBPAGEINFO
_ADGROUPCRITERION.fields_by_name['app_payment_model'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._APPPAYMENTMODELINFO
_ADGROUPCRITERION.fields_by_name['custom_affinity'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._CUSTOMAFFINITYINFO
_ADGROUPCRITERION.fields_by_name['custom_intent'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._CUSTOMINTENTINFO
_ADGROUPCRITERION.fields_by_name['custom_audience'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._CUSTOMAUDIENCEINFO
_ADGROUPCRITERION.fields_by_name['combined_audience'].message_type = google_dot_ads_dot_googleads_dot_v6_dot_common_dot_criteria__pb2._COMBINEDAUDIENCEINFO
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['keyword'])
_ADGROUPCRITERION.fields_by_name['keyword'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['placement'])
_ADGROUPCRITERION.fields_by_name['placement'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['mobile_app_category'])
_ADGROUPCRITERION.fields_by_name['mobile_app_category'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['mobile_application'])
_ADGROUPCRITERION.fields_by_name['mobile_application'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['listing_group'])
_ADGROUPCRITERION.fields_by_name['listing_group'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['age_range'])
_ADGROUPCRITERION.fields_by_name['age_range'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['gender'])
_ADGROUPCRITERION.fields_by_name['gender'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['income_range'])
_ADGROUPCRITERION.fields_by_name['income_range'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['parental_status'])
_ADGROUPCRITERION.fields_by_name['parental_status'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['user_list'])
_ADGROUPCRITERION.fields_by_name['user_list'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['youtube_video'])
_ADGROUPCRITERION.fields_by_name['youtube_video'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['youtube_channel'])
_ADGROUPCRITERION.fields_by_name['youtube_channel'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['topic'])
_ADGROUPCRITERION.fields_by_name['topic'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['user_interest'])
_ADGROUPCRITERION.fields_by_name['user_interest'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['webpage'])
_ADGROUPCRITERION.fields_by_name['webpage'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['app_payment_model'])
_ADGROUPCRITERION.fields_by_name['app_payment_model'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['custom_affinity'])
_ADGROUPCRITERION.fields_by_name['custom_affinity'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['custom_intent'])
_ADGROUPCRITERION.fields_by_name['custom_intent'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['custom_audience'])
_ADGROUPCRITERION.fields_by_name['custom_audience'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['criterion'].fields.append(
_ADGROUPCRITERION.fields_by_name['combined_audience'])
_ADGROUPCRITERION.fields_by_name['combined_audience'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['criterion']
_ADGROUPCRITERION.oneofs_by_name['_criterion_id'].fields.append(
_ADGROUPCRITERION.fields_by_name['criterion_id'])
_ADGROUPCRITERION.fields_by_name['criterion_id'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_criterion_id']
_ADGROUPCRITERION.oneofs_by_name['_ad_group'].fields.append(
_ADGROUPCRITERION.fields_by_name['ad_group'])
_ADGROUPCRITERION.fields_by_name['ad_group'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_ad_group']
_ADGROUPCRITERION.oneofs_by_name['_negative'].fields.append(
_ADGROUPCRITERION.fields_by_name['negative'])
_ADGROUPCRITERION.fields_by_name['negative'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_negative']
_ADGROUPCRITERION.oneofs_by_name['_bid_modifier'].fields.append(
_ADGROUPCRITERION.fields_by_name['bid_modifier'])
_ADGROUPCRITERION.fields_by_name['bid_modifier'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_bid_modifier']
_ADGROUPCRITERION.oneofs_by_name['_cpc_bid_micros'].fields.append(
_ADGROUPCRITERION.fields_by_name['cpc_bid_micros'])
_ADGROUPCRITERION.fields_by_name['cpc_bid_micros'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_cpc_bid_micros']
_ADGROUPCRITERION.oneofs_by_name['_cpm_bid_micros'].fields.append(
_ADGROUPCRITERION.fields_by_name['cpm_bid_micros'])
_ADGROUPCRITERION.fields_by_name['cpm_bid_micros'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_cpm_bid_micros']
_ADGROUPCRITERION.oneofs_by_name['_cpv_bid_micros'].fields.append(
_ADGROUPCRITERION.fields_by_name['cpv_bid_micros'])
_ADGROUPCRITERION.fields_by_name['cpv_bid_micros'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_cpv_bid_micros']
_ADGROUPCRITERION.oneofs_by_name['_percent_cpc_bid_micros'].fields.append(
_ADGROUPCRITERION.fields_by_name['percent_cpc_bid_micros'])
_ADGROUPCRITERION.fields_by_name['percent_cpc_bid_micros'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_percent_cpc_bid_micros']
_ADGROUPCRITERION.oneofs_by_name['_effective_cpc_bid_micros'].fields.append(
_ADGROUPCRITERION.fields_by_name['effective_cpc_bid_micros'])
_ADGROUPCRITERION.fields_by_name['effective_cpc_bid_micros'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_effective_cpc_bid_micros']
_ADGROUPCRITERION.oneofs_by_name['_effective_cpm_bid_micros'].fields.append(
_ADGROUPCRITERION.fields_by_name['effective_cpm_bid_micros'])
_ADGROUPCRITERION.fields_by_name['effective_cpm_bid_micros'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_effective_cpm_bid_micros']
_ADGROUPCRITERION.oneofs_by_name['_effective_cpv_bid_micros'].fields.append(
_ADGROUPCRITERION.fields_by_name['effective_cpv_bid_micros'])
_ADGROUPCRITERION.fields_by_name['effective_cpv_bid_micros'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_effective_cpv_bid_micros']
_ADGROUPCRITERION.oneofs_by_name['_effective_percent_cpc_bid_micros'].fields.append(
_ADGROUPCRITERION.fields_by_name['effective_percent_cpc_bid_micros'])
_ADGROUPCRITERION.fields_by_name['effective_percent_cpc_bid_micros'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_effective_percent_cpc_bid_micros']
_ADGROUPCRITERION.oneofs_by_name['_final_url_suffix'].fields.append(
_ADGROUPCRITERION.fields_by_name['final_url_suffix'])
_ADGROUPCRITERION.fields_by_name['final_url_suffix'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_final_url_suffix']
_ADGROUPCRITERION.oneofs_by_name['_tracking_url_template'].fields.append(
_ADGROUPCRITERION.fields_by_name['tracking_url_template'])
_ADGROUPCRITERION.fields_by_name['tracking_url_template'].containing_oneof = _ADGROUPCRITERION.oneofs_by_name['_tracking_url_template']
DESCRIPTOR.message_types_by_name['AdGroupCriterion'] = _ADGROUPCRITERION
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
AdGroupCriterion = _reflection.GeneratedProtocolMessageType('AdGroupCriterion', (_message.Message,), {
'QualityInfo' : _reflection.GeneratedProtocolMessageType('QualityInfo', (_message.Message,), {
'DESCRIPTOR' : _ADGROUPCRITERION_QUALITYINFO,
'__module__' : 'google.ads.googleads.v6.resources.ad_group_criterion_pb2'
# @@protoc_insertion_point(class_scope:google.ads.googleads.v6.resources.AdGroupCriterion.QualityInfo)
})
,
'PositionEstimates' : _reflection.GeneratedProtocolMessageType('PositionEstimates', (_message.Message,), {
'DESCRIPTOR' : _ADGROUPCRITERION_POSITIONESTIMATES,
'__module__' : 'google.ads.googleads.v6.resources.ad_group_criterion_pb2'
# @@protoc_insertion_point(class_scope:google.ads.googleads.v6.resources.AdGroupCriterion.PositionEstimates)
})
,
'DESCRIPTOR' : _ADGROUPCRITERION,
'__module__' : 'google.ads.googleads.v6.resources.ad_group_criterion_pb2'
# @@protoc_insertion_point(class_scope:google.ads.googleads.v6.resources.AdGroupCriterion)
})
_sym_db.RegisterMessage(AdGroupCriterion)
_sym_db.RegisterMessage(AdGroupCriterion.QualityInfo)
_sym_db.RegisterMessage(AdGroupCriterion.PositionEstimates)
DESCRIPTOR._options = None
_ADGROUPCRITERION_QUALITYINFO.fields_by_name['quality_score']._options = None
_ADGROUPCRITERION_QUALITYINFO.fields_by_name['creative_quality_score']._options = None
_ADGROUPCRITERION_QUALITYINFO.fields_by_name['post_click_quality_score']._options = None
_ADGROUPCRITERION_QUALITYINFO.fields_by_name['search_predicted_ctr']._options = None
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['first_page_cpc_micros']._options = None
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['first_position_cpc_micros']._options = None
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['top_of_page_cpc_micros']._options = None
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['estimated_add_clicks_at_first_position_cpc']._options = None
_ADGROUPCRITERION_POSITIONESTIMATES.fields_by_name['estimated_add_cost_at_first_position_cpc']._options = None
_ADGROUPCRITERION.fields_by_name['resource_name']._options = None
_ADGROUPCRITERION.fields_by_name['criterion_id']._options = None
_ADGROUPCRITERION.fields_by_name['quality_info']._options = None
_ADGROUPCRITERION.fields_by_name['ad_group']._options = None
_ADGROUPCRITERION.fields_by_name['type']._options = None
_ADGROUPCRITERION.fields_by_name['negative']._options = None
_ADGROUPCRITERION.fields_by_name['system_serving_status']._options = None
_ADGROUPCRITERION.fields_by_name['approval_status']._options = None
_ADGROUPCRITERION.fields_by_name['disapproval_reasons']._options = None
_ADGROUPCRITERION.fields_by_name['effective_cpc_bid_micros']._options = None
_ADGROUPCRITERION.fields_by_name['effective_cpm_bid_micros']._options = None
_ADGROUPCRITERION.fields_by_name['effective_cpv_bid_micros']._options = None
_ADGROUPCRITERION.fields_by_name['effective_percent_cpc_bid_micros']._options = None
_ADGROUPCRITERION.fields_by_name['effective_cpc_bid_source']._options = None
_ADGROUPCRITERION.fields_by_name['effective_cpm_bid_source']._options = None
_ADGROUPCRITERION.fields_by_name['effective_cpv_bid_source']._options = None
_ADGROUPCRITERION.fields_by_name['effective_percent_cpc_bid_source']._options = None
_ADGROUPCRITERION.fields_by_name['position_estimates']._options = None
_ADGROUPCRITERION.fields_by_name['keyword']._options = None
_ADGROUPCRITERION.fields_by_name['placement']._options = None
_ADGROUPCRITERION.fields_by_name['mobile_app_category']._options = None
_ADGROUPCRITERION.fields_by_name['mobile_application']._options = None
_ADGROUPCRITERION.fields_by_name['listing_group']._options = None
_ADGROUPCRITERION.fields_by_name['age_range']._options = None
_ADGROUPCRITERION.fields_by_name['gender']._options = None
_ADGROUPCRITERION.fields_by_name['income_range']._options = None
_ADGROUPCRITERION.fields_by_name['parental_status']._options = None
_ADGROUPCRITERION.fields_by_name['user_list']._options = None
_ADGROUPCRITERION.fields_by_name['youtube_video']._options = None
_ADGROUPCRITERION.fields_by_name['youtube_channel']._options = None
_ADGROUPCRITERION.fields_by_name['topic']._options = None
_ADGROUPCRITERION.fields_by_name['user_interest']._options = None
_ADGROUPCRITERION.fields_by_name['webpage']._options = None
_ADGROUPCRITERION.fields_by_name['app_payment_model']._options = None
_ADGROUPCRITERION.fields_by_name['custom_affinity']._options = None
_ADGROUPCRITERION.fields_by_name['custom_intent']._options = None
_ADGROUPCRITERION.fields_by_name['custom_audience']._options = None
_ADGROUPCRITERION.fields_by_name['combined_audience']._options = None
_ADGROUPCRITERION._options = None
# @@protoc_insertion_point(module_scope)
| 78.065421 | 8,184 | 0.814378 | 8,956 | 66,824 | 5.637115 | 0.055159 | 0.02876 | 0.038268 | 0.054272 | 0.872856 | 0.844293 | 0.786198 | 0.730143 | 0.694727 | 0.619815 | 0 | 0.041642 | 0.077517 | 66,824 | 855 | 8,185 | 78.156725 | 0.777351 | 0.008201 | 0 | 0.529554 | 1 | 0.004825 | 0.282797 | 0.232166 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.018094 | 0 | 0.018094 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
dbe072a739bc065f5922502916209034fdee220a | 15,371 | py | Python | src/django/addr/adr/models.py | deshk04/addressparser | 03c33859bb585a6cf767e0f4d3dfd23cabd2d78b | [
"MIT"
] | null | null | null | src/django/addr/adr/models.py | deshk04/addressparser | 03c33859bb585a6cf767e0f4d3dfd23cabd2d78b | [
"MIT"
] | null | null | null | src/django/addr/adr/models.py | deshk04/addressparser | 03c33859bb585a6cf767e0f4d3dfd23cabd2d78b | [
"MIT"
] | null | null | null | from django.db import models
class AddressDetails(models.Model):
system_creation_date = models.DateTimeField(blank=True, null=True)
system_update_date = models.DateTimeField(blank=True, null=True)
user_id = models.TextField(blank=True, null=True)
address_id = models.BigIntegerField(unique=True)
pobox_type = models.TextField(blank=True, null=True)
pobox_number = models.TextField(blank=True, null=True)
building_name = models.TextField(blank=True, null=True)
department_name = models.TextField(blank=True, null=True)
flat_number = models.TextField(blank=True, null=True)
flat_type = models.TextField(blank=True, null=True)
flat_number_suffix = models.TextField(blank=True, null=True)
level_number = models.TextField(blank=True, null=True)
level_type = models.TextField(blank=True, null=True)
level_number_suffix = models.TextField(blank=True, null=True)
number_first = models.TextField(blank=True, null=True)
number_suffix = models.TextField(blank=True, null=True)
number_last = models.TextField(blank=True, null=True)
street_name = models.TextField(blank=True, null=True)
street_type = models.TextField(blank=True, null=True)
suburb = models.TextField(blank=True, null=True)
postcode = models.CharField(max_length=4, blank=True, null=True)
state = models.CharField(max_length=4, blank=True, null=True)
latitude = models.DecimalField(max_digits=11, decimal_places=8, blank=True, null=True)
longitude = models.DecimalField(max_digits=11, decimal_places=8, blank=True, null=True)
parcel_id = models.TextField(blank=True, null=True)
premises_type = models.TextField(blank=True, null=True)
postal_id = models.TextField(blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'address_details'
class DimAddrAbbrWords(models.Model):
suffixword = models.CharField(primary_key=True, max_length=30)
primaryword = models.CharField(max_length=60)
typeflag = models.CharField(max_length=1, blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'dim_addr_abbr_words'
unique_together = (('suffixword', 'primaryword'),)
class DimAddrCommonwords(models.Model):
word = models.CharField(max_length=100, blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'dim_addr_commonwords'
class DimAddrPatch(models.Model):
sourcestring = models.CharField(max_length=80, blank=True, null=True)
destinationstring = models.CharField(max_length=80, blank=True, null=True)
type = models.CharField(max_length=1, blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'dim_addr_patch'
class DimAddrPobox(models.Model):
pobox = models.CharField(max_length=20, blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'dim_addr_pobox'
class DimAddressType(models.Model):
address_type = models.CharField(primary_key=True, max_length=1)
address_type_desc = models.CharField(max_length=60, blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'dim_address_type'
class DimCommonWords(models.Model):
word = models.TextField(blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'dim_common_words'
class DimGnafAddressDetails(models.Model):
address_detail_pid = models.CharField(max_length=15, blank=True, null=True)
street_locality_pid = models.CharField(max_length=15, blank=True, null=True)
locality_pid = models.CharField(max_length=15, blank=True, null=True)
building_name = models.TextField(blank=True, null=True)
lot_number_prefix = models.TextField(blank=True, null=True)
lot_number = models.CharField(max_length=5, blank=True, null=True)
lot_number_suffix = models.TextField(blank=True, null=True)
flat_type = models.TextField(blank=True, null=True)
flat_number_prefix = models.TextField(blank=True, null=True)
flat_number = models.DecimalField(max_digits=5, decimal_places=0, blank=True, null=True)
flat_number_suffix = models.TextField(blank=True, null=True)
level_type = models.TextField(blank=True, null=True)
level_number_prefix = models.TextField(blank=True, null=True)
level_number = models.DecimalField(max_digits=3, decimal_places=0, blank=True, null=True)
level_number_suffix = models.TextField(blank=True, null=True)
number_first_prefix = models.TextField(blank=True, null=True)
number_first = models.DecimalField(max_digits=6, decimal_places=0, blank=True, null=True)
number_first_suffix = models.TextField(blank=True, null=True)
number_last_prefix = models.TextField(blank=True, null=True)
number_last = models.DecimalField(max_digits=6, decimal_places=0, blank=True, null=True)
number_last_suffix = models.TextField(blank=True, null=True)
street_name = models.TextField(blank=True, null=True)
street_class_code = models.TextField(blank=True, null=True)
street_class_type = models.TextField(blank=True, null=True)
street_type_code = models.TextField(blank=True, null=True)
street_suffix_code = models.TextField(blank=True, null=True)
street_suffix_type = models.TextField(blank=True, null=True)
locality_name = models.TextField(blank=True, null=True)
state_abbreviation = models.TextField(blank=True, null=True)
postcode = models.CharField(max_length=4, blank=True, null=True)
latitude = models.DecimalField(max_digits=10, decimal_places=8, blank=True, null=True)
longitude = models.DecimalField(max_digits=11, decimal_places=8, blank=True, null=True)
geocode_type = models.TextField(blank=True, null=True)
confidence = models.DecimalField(max_digits=1, decimal_places=0, blank=True, null=True)
alias_principal = models.CharField(max_length=1, blank=True, null=True)
primary_secondary = models.CharField(max_length=1, blank=True, null=True)
legal_parcel_id = models.CharField(max_length=20, blank=True, null=True)
date_created = models.DateField(blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'dim_gnaf_address_details'
unique_together = (('address_detail_pid', 'street_name', 'locality_name', 'state_abbreviation', 'postcode', 'latitude', 'longitude'),)
class DimGnafPostcode(models.Model):
postcode = models.CharField(max_length=4, blank=True, null=True)
state = models.CharField(max_length=3, blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'dim_gnaf_postcode'
class DimGnafStreets(models.Model):
street_name = models.CharField(max_length=100, blank=True, null=True)
street_type = models.CharField(max_length=15, blank=True, null=True)
suburb = models.CharField(max_length=100, blank=True, null=True)
postcode = models.CharField(max_length=4, blank=True, null=True)
state = models.CharField(max_length=3, blank=True, null=True)
street_length = models.IntegerField(blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'dim_gnaf_streets'
class DimNameAbbr(models.Model):
name = models.CharField(max_length=60, blank=True, null=True)
shortname = models.CharField(max_length=20, blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'dim_name_abbr'
class DimPobox(models.Model):
pobox = models.CharField(max_length=20, blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'dim_pobox'
class DimWordDictionary(models.Model):
mainword = models.TextField(blank=True, null=True)
suffixword = models.TextField(blank=True, null=True)
wordtype = models.TextField(blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'dim_word_dictionary'
class GooglePlaces(models.Model):
place_id = models.TextField(unique=True, blank=True, null=True)
sys_creation_date = models.DateTimeField(blank=True, null=True)
sys_update_date = models.DateTimeField(blank=True, null=True)
user_id = models.CharField(max_length=30, blank=True, null=True)
street_number = models.TextField(blank=True, null=True)
street_name = models.TextField(blank=True, null=True)
state = models.TextField(blank=True, null=True)
suburb = models.TextField(blank=True, null=True)
county = models.TextField(blank=True, null=True)
country = models.TextField(blank=True, null=True)
postcode = models.TextField(blank=True, null=True)
neighborhood = models.TextField(blank=True, null=True)
sublocality = models.TextField(blank=True, null=True)
housenumber = models.TextField(blank=True, null=True)
town = models.TextField(blank=True, null=True)
subpremise = models.TextField(blank=True, null=True)
latitude = models.TextField(blank=True, null=True)
longitude = models.TextField(blank=True, null=True)
location_type = models.TextField(blank=True, null=True)
postal_code_suffix = models.TextField(blank=True, null=True)
business_name = models.TextField(blank=True, null=True)
formatted_phone_number = models.TextField(blank=True, null=True)
international_phone_number = models.TextField(blank=True, null=True)
trading_hours_mon = models.TextField(blank=True, null=True)
trading_hours_tue = models.TextField(blank=True, null=True)
trading_hours_wed = models.TextField(blank=True, null=True)
trading_hours_thu = models.TextField(blank=True, null=True)
trading_hours_fri = models.TextField(blank=True, null=True)
trading_hours_sat = models.TextField(blank=True, null=True)
trading_hours_sun = models.TextField(blank=True, null=True)
web_website = models.TextField(blank=True, null=True)
permanently_closed = models.TextField(blank=True, null=True)
rating = models.DecimalField(max_digits=2, decimal_places=0, blank=True, null=True)
price_level = models.TextField(blank=True, null=True)
scope = models.TextField(blank=True, null=True)
types = models.TextField(blank=True, null=True) # This field type is a guess.
exception_flag = models.CharField(max_length=1, blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'google_places'
class StagingInputData(models.Model):
system_creation_date = models.DateTimeField(blank=True, null=True)
system_update_date = models.DateTimeField(blank=True, null=True)
user_id = models.TextField(blank=True, null=True)
system_type = models.TextField(blank=True, null=True)
source_key = models.TextField(blank=True, null=True)
address_type = models.TextField(blank=True, null=True)
address_line1 = models.TextField(blank=True, null=True)
address_line2 = models.TextField(blank=True, null=True)
suburb = models.CharField(max_length=100, blank=True, null=True)
postcode = models.CharField(max_length=4, blank=True, null=True)
state = models.CharField(max_length=4, blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'staging_input_data'
class StagingProcessedAddress(models.Model):
system_creation_date = models.DateTimeField(blank=True, null=True)
system_update_date = models.DateTimeField(blank=True, null=True)
user_id = models.TextField(blank=True, null=True)
source_input = models.ForeignKey(StagingInputData, models.DO_NOTHING, blank=True, null=True)
pobox_type = models.TextField(blank=True, null=True)
pobox_number = models.TextField(blank=True, null=True)
building_name = models.TextField(blank=True, null=True)
department_name = models.TextField(blank=True, null=True)
flat_number = models.TextField(blank=True, null=True)
flat_type = models.TextField(blank=True, null=True)
flat_number_suffix = models.TextField(blank=True, null=True)
level_number = models.TextField(blank=True, null=True)
level_type = models.TextField(blank=True, null=True)
level_number_suffix = models.TextField(blank=True, null=True)
number_first = models.TextField(blank=True, null=True)
number_suffix = models.TextField(blank=True, null=True)
number_last = models.TextField(blank=True, null=True)
street_name = models.TextField(blank=True, null=True)
street_type = models.TextField(blank=True, null=True)
suburb = models.TextField(blank=True, null=True)
postcode = models.CharField(max_length=4, blank=True, null=True)
state = models.CharField(max_length=4, blank=True, null=True)
latitude = models.DecimalField(max_digits=11, decimal_places=8, blank=True, null=True)
longitude = models.DecimalField(max_digits=11, decimal_places=8, blank=True, null=True)
parcel_id = models.TextField(blank=True, null=True)
premises_type = models.TextField(blank=True, null=True)
postal_id = models.TextField(blank=True, null=True)
rank = models.IntegerField(blank=True, null=True)
exception_flag = models.CharField(max_length=1, blank=True, null=True)
def __str__(self):
"""
print all the variables
"""
return str(self.__class__) + ": " + str(self.__dict__)
class Meta:
managed = False
db_table = 'staging_processed_address'
| 40.556728 | 142 | 0.697287 | 1,968 | 15,371 | 5.20935 | 0.092988 | 0.143094 | 0.206691 | 0.270289 | 0.861881 | 0.843835 | 0.781701 | 0.731565 | 0.658896 | 0.590129 | 0 | 0.007434 | 0.18613 | 15,371 | 378 | 143 | 40.664021 | 0.81207 | 0.026804 | 0 | 0.530075 | 0 | 0 | 0.02795 | 0.003373 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06015 | false | 0 | 0.003759 | 0 | 0.87218 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 |
e008f58a407457d6c743cbedf52c0462ce7930bd | 7,584 | py | Python | common/src/pileups.py | gwcbi/HorvathLabNGS | 20c87dfcad236990ce1a3ed6e9d180de10ca9dbc | [
"MIT"
] | 1 | 2018-08-27T15:10:17.000Z | 2018-08-27T15:10:17.000Z | common/src/pileups.py | HorvathLab/SNPlice | 20c87dfcad236990ce1a3ed6e9d180de10ca9dbc | [
"MIT"
] | 1 | 2016-12-16T20:55:00.000Z | 2016-12-16T20:55:00.000Z | common/src/pileups.py | gwcbi/HorvathLabNGS | 20c87dfcad236990ce1a3ed6e9d180de10ca9dbc | [
"MIT"
] | null | null | null |
import threading
import multiprocessing
from collections import Counter, namedtuple
from pysamimport import pysam
from util import BadRead
import Queue
import time, math, sys
class Pileups(object):
def __init__(self,loci,samfiles,filter,chrreg):
self.loci = loci
self.samfiles = samfiles
self.filter = filter
self.chrreg = chrreg
class SerialPileups(Pileups):
def iterator(self):
samfiles = []
chrommap = []
for al in self.samfiles:
samfile = pysam.Samfile(al, "rb")
assert samfile._hasIndex(), "Cannot open BAM index for file %s"%sf
samfiles.append(samfile)
chrommap.append(self.chrreg.chrommap(al))
for snvchr, snvpos, ref, alt, snvextra in self.loci:
cnts = Counter()
total = Counter()
reads = []
snvpos1 = snvpos - 1
for i, samfile in enumerate(samfiles):
try:
snvlabel = chrommap[i](snvchr)
if snvlabel != None:
for pileupcolumn in samfile.pileup(snvlabel, snvpos1, snvpos1 + 1, truncate=True):
total[i] += pileupcolumn.n
for pileupread in pileupcolumn.pileups:
try:
al, pos, base, nseg = self.filter.test(pileupread)
except BadRead, e:
cnts[(i, e.message)] += 1
continue
reads.append((al, pos, base, i))
cnts[(i, 'Good')] += 1
except ValueError:
pass
total[i] -= cnts[(i,"GapInQueryAtSNVLocus")]
# del cnts[(i,"GapInQueryAtSNVLocus")]
yield (snvchr, snvpos, ref, alt, total, reads, cnts)
class ThreadedPileups(Pileups):
def __init__(self,*args,**kw):
super(ThreadedPileups,self).__init__(*args)
self.tpb = kw.get('threadsperbam',1)
self.nb = len(self.samfiles)
self.nt = self.tpb*self.nb
self._queue = []
k = 0;
for j in range(self.tpb):
for i in range(self.nb):
self._queue.append(Queue.Queue(20))
t = threading.Thread(target=self.worker,args=(i,j,k))
t.daemon = True
t.start()
k += 1
time.sleep(1)
def worker(self,i,j,k):
samfile = pysam.Samfile(self.samfiles[i], "rb")
assert samfile._hasIndex(), "Cannot open BAM index for file %s"%sf
chrommap = self.chrreg.chrommap(self.samfiles[i])
# blocksize = int(math.ceil(len(self.loci)/self.tpb))
# for l in range(j*blocksize,min((j+1)*blocksize,len(self.loci))):
for l in range(j,len(self.loci),self.tpb):
snvchr, snvpos, ref, alt, snvextra = self.loci[l]
cnts = Counter()
total = Counter()
reads = []
snvpos1 = snvpos - 1
try:
snvlabel = chrommap(snvchr)
if snvlabel != None:
for pileupcolumn in samfile.pileup(snvlabel, snvpos1, snvpos1 + 1, truncate=True):
total[i] += pileupcolumn.n
for pileupread in pileupcolumn.pileups:
try:
al, pos, base, nseg = self.filter.test(pileupread)
except BadRead, e:
cnts[(i, e.message)] += 1
continue
reads.append((al, pos, base, i))
cnts[(i, 'Good')] += 1
except ValueError, e:
pass # raise e
total[i] -= cnts[(i,"GapInQueryAtSNVLocus")]
# del cnts[(i,"GapInQueryAtSNVLocus")]
# print >>sys.stderr, (snvchr, snvpos, ref, alt, total, cnts)
self._queue[k].put((snvchr, snvpos, ref, alt, total, reads, cnts))
return
def iterator(self):
k = 0
# for i in range(len(self.loci)):
for snvchr, snvpos, ref, alt, snvextra in self.loci:
cnts = Counter()
total = Counter()
reads = []
for i in range(len(self.samfiles)):
snvchri, snvposi, refi, alti, totali, readsi, cntsi = self._queue[k].get()
assert(snvchri == snvchr and snvposi == snvpos)
assert(i in totali or len(totali.keys()) == 0)
reads.extend(readsi)
cnts.update(cntsi)
total.update(totali)
self._queue[k].task_done()
k = (k+1)%self.nt
yield (snvchr, snvpos, ref, alt, total, reads, cnts)
PileupAlignment = namedtuple('PileupAlignment',['seq','is_reverse'])
class MultiprocPileups(Pileups):
# A python class for alignments since the C++ wrapped data-structure
# doesn't survive the multiprocess communication process...
def __init__(self,*args,**kw):
super(MultiprocPileups,self).__init__(*args)
self.tpb = kw.get('procperbam',1)
self.nb = len(self.samfiles)
self.nt = self.tpb*self.nb
self._queue = []
k = 0;
for j in range(self.tpb):
for i in range(self.nb):
self._queue.append(multiprocessing.Queue(20))
t = multiprocessing.Process(target=self.worker,args=(i,j,k))
t.daemon = True
t.start()
k += 1
time.sleep(1)
def worker(self,i,j,k):
samfile = pysam.Samfile(self.samfiles[i], "rb")
assert samfile._hasIndex(), "Cannot open BAM index for file %s"%sf
chrommap = self.chrreg.chrommap(self.samfiles[i])
# blocksize = int(math.ceil(len(self.loci)/self.tpb))
# for l in range(j*blocksize,min((j+1)*blocksize,len(self.loci))):
for l in range(j,len(self.loci),self.tpb):
snvchr, snvpos, ref, alt, snvextra = self.loci[l]
cnts = Counter()
total = Counter()
reads = []
snvpos1 = snvpos - 1
try:
snvlabel = chrommap(snvchr)
if snvlabel != None:
for pileupcolumn in samfile.pileup(snvlabel, snvpos1, snvpos1 + 1, truncate=True):
total[i] += pileupcolumn.n
for pileupread in pileupcolumn.pileups:
try:
al, pos, base, nseg = self.filter.test(pileupread)
except BadRead, e:
cnts[(i, e.message)] += 1
continue
reads.append((PileupAlignment(al.seq,al.is_reverse), pos, base, i))
cnts[(i, 'Good')] += 1
except ValueError, e:
pass # raise e
total[i] -= cnts[(i,"GapInQueryAtSNVLocus")]
# del cnts[(i,"GapInQueryAtSNVLocus")]
# print >>sys.stderr, (snvchr, snvpos, ref, alt, total, cnts)
self._queue[k].put((snvchr, snvpos, ref, alt, total, reads, cnts))
return
def iterator(self):
k = 0
# for i in range(len(self.loci)):
for snvchr, snvpos, ref, alt, snvextra in self.loci:
cnts = Counter()
total = Counter()
reads = []
for i in range(len(self.samfiles)):
snvchri, snvposi, refi, alti, totali, readsi, cntsi = self._queue[k].get()
assert(snvchri == snvchr and snvposi == snvpos)
assert(i in totali or len(totali.keys()) == 0)
reads.extend(readsi)
cnts.update(cntsi)
total.update(totali)
# self._queue[k].task_done()
k = (k+1)%self.nt
yield (snvchr, snvpos, ref, alt, total, reads, cnts)
| 39.295337 | 104 | 0.531382 | 867 | 7,584 | 4.605536 | 0.167243 | 0.030053 | 0.045079 | 0.054095 | 0.790133 | 0.790133 | 0.779113 | 0.767092 | 0.75432 | 0.739544 | 0 | 0.008276 | 0.346783 | 7,584 | 192 | 105 | 39.5 | 0.797739 | 0.091772 | 0 | 0.781818 | 0 | 0 | 0.033193 | 0 | 0 | 0 | 0 | 0 | 0.042424 | 0 | null | null | 0.018182 | 0.042424 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e01fb1006245c2b1fd3b76f6857b6fec2ef87685 | 23,695 | py | Python | FusionIIIT/applications/leave/forms.py | pTidke/Fusion | 7a0da7239bd97df7a9849163c5438c0c917c2e55 | [
"bzip2-1.0.6"
] | 1 | 2019-01-24T07:17:54.000Z | 2019-01-24T07:17:54.000Z | FusionIIIT/applications/leave/forms.py | sayali1909/Fusion | acb4f43e97f73c0f757511a3e9fcc4e1dff2d0ab | [
"bzip2-1.0.6"
] | 1 | 2019-03-27T20:54:19.000Z | 2019-03-27T20:54:19.000Z | FusionIIIT/applications/leave/forms.py | sayali1909/Fusion | acb4f43e97f73c0f757511a3e9fcc4e1dff2d0ab | [
"bzip2-1.0.6"
] | 4 | 2019-01-31T09:50:43.000Z | 2019-03-28T09:17:07.000Z | from django import forms
from django.contrib.auth.models import User
from django.db.models import Q
from django.forms import ValidationError as VE
from django.forms.formsets import BaseFormSet
from django.utils import timezone
from applications.leave.models import LeavesCount, LeaveSegment, LeaveType, LeaveSegmentOffline
from .helpers import get_leave_days, get_special_leave_count, get_user_choices, get_vacation_leave_count
class StudentApplicationForm(forms.Form):
STUDENT_LEAVE_CHOICES = (
('Casual', 'Casual'),
('Medical', 'Medical')
)
leave_type = forms.ChoiceField(label='Leave Type', choices=STUDENT_LEAVE_CHOICES)
start_date = forms.DateField(label='From')
end_date = forms.DateField(label='To')
purpose = forms.CharField(label='Purpose', widget=forms.TextInput)
address = forms.CharField(label='Address')
document = forms.FileField(label='Related Document', required=False)
def __init__(self, *args, **kwargs):
if 'user' in kwargs:
self.user = kwargs.pop('user')
super(StudentApplicationForm, self).__init__(*args, **kwargs)
def clean(self, *args, **kwargs):
super(StudentApplicationForm, self).clean(*args, **kwargs)
data = self.cleaned_data
errors = dict()
today = timezone.now().date()
"""if data.get('start_date') < today:
errors['start_date'] = ['Past Dates are not allowed']
if data.get('end_date') < today:
errors['end_date'] = ['Past Dates are not allowed']
"""
lt = LeaveType.objects.filter(name=data.get('leave_type')).first()
if lt.requires_proof and not data.get('document'):
errors['document'] = [f'{lt.name} Leave requires document proof']
if data.get('start_date') > data.get('end_date'):
if 'start_date' in errors:
errors['start_date'].append('Start Date must be less than End Date')
else:
errors['start_date'] = ['Start Date must be less than End Date']
leave_type = LeaveType.objects.get(name=data.get('leave_type'))
count = get_leave_days(data.get('start_date'), data.get('end_date'),
leave_type, False, False)
remaining_leaves = LeavesCount.objects.get(user=self.user, leave_type=leave_type) \
.remaining_leaves
if remaining_leaves < count:
errors['leave_type'] = f'You have only {remaining_leaves} {leave_type.name} leaves' \
' remaining.'
raise VE(errors)
class EmployeeCommonForm(forms.Form):
purpose = forms.CharField(widget=forms.TextInput)
#is_station = forms.BooleanField(initial=False, required=False)
leave_info = forms.CharField(label='Information', widget=forms.Textarea, required=False)
def clean(self):
super(EmployeeCommonForm, self).clean()
data = self.cleaned_data
#if data.get('is_station') and not data.get('leave_info'):
#if not data.get('leave_info'):
# raise VE({'leave_info': ['If there is a station leave, provide details about it.']})
if not data.get('purpose'):
raise VE({'purpose': ['Please provide purpose of the leave.']})
return self.cleaned_data
class LeaveSegmentForm(forms.Form):
try:
LEAVE_TYPES = list((leave_type.id, leave_type.name)
for leave_type in LeaveType.objects.all())
except:
LEAVE_TYPES = []
#Changed by Abhay Gupta
l_type_fac=list((leave_type.id, leave_type.name) for leave_type in LeaveType.objects.all())
l_type_staff=list((leave_type.id, leave_type.name) for leave_type in LeaveType.objects.filter(for_staff=1))
#l_type=list(leave_type.name for leave_type in LeaveType.objects.all())
leave_type = forms.ChoiceField(label='Leave Type', choices=LEAVE_TYPES)
start_date = forms.DateField(label='Leave From', required=True)
end_date = forms.DateField(label='Leave To', required=True)
document = forms.FileField(label='Related Document', required=False)
start_half = forms.BooleanField(label='Half Day at start', required=False)
end_half = forms.BooleanField(label='Half Day at end', required=False)
address = forms.CharField(label='Out of Station Address', required=False)
def clean(self, *args, **kwargs):
super(LeaveSegmentForm, self).clean(*args, **kwargs)
data = self.cleaned_data
errors = dict()
def check_special_leave_overlap(start_date, end_date, leave_type_id):
leave_type = LeaveType.objects.get(id=leave_type_id)
if leave_type.name.lower() in ['restricted']:
count = get_special_leave_count(start_date, end_date, leave_type.name.lower())
if count < 0:
return 'The period for this leave doesn\'t match with restricted holiday calendar' \
'. Check Academic Calendar.'
elif leave_type.name.lower() in ['vacation']:
count = get_vacation_leave_count(start_date,end_date,leave_type.name.lower())
if count < 0:
return 'The period for this leave doesn\'t match with vacation holidays' \
'. Check Academic Calendar.'
return ''
if data['start_date'] < data['end_date']:
error = check_special_leave_overlap(data.get('start_date'), data.get('end_date'),
data.get('leave_type'))
if error:
if 'leave_type' in errors:
errors['leave_type'].append(error)
else:
errors['leave_type'] = [error, ]
elif data['start_date'] == data['end_date']:
#if data.get('leave_type')==2:
# restricted_holidays=list(res.date for res in RestrictedHoliday.objects.all())
# print(restricted_holidays)
# print(data.get('start_date'))
if data['start_half'] and data['end_half']:
errors['start_half'] = ['Invalid Input']
errors['end_half'] = ['Invalid Input']
else:
error = check_special_leave_overlap(data.get('start_date'), data.get('end_date'),
data.get('leave_type'))
if error:
if 'leave_type' in errors:
errors['leave_type'].append(error)
else:
errors['leave_type'] = [error, ]
else:
errors['start_date'] = ['Start date must not be more than End date.']
#now = timezone.now().date()
"""if data['start_date'] < now:
error = 'You have inserted past date in Start Date Field'
if 'start_date' in errors:
errors['start_date'].append(error)
else:
errors['start_date'] = error
if data['end_date'] < now:
error = 'You have inserted past date in End Date Field'
if 'end_date' in errors:
errors['end_date'].append(error)
else:
errors['end_date'] = error
"""
leave_type = LeaveType.objects.filter(id=data['leave_type']).first()
if leave_type and leave_type.requires_proof and not data.get('document'):
errors['document'] = [f'{leave_type.name} requires a document for proof.']
#leave_type = LeaveType.objects.filter(id=data['leave_type']).first()
if leave_type and leave_type.requires_address and not data.get('address'):
errors['address'] = [f'{leave_type.name} requires Out of Station address.']
if errors.keys():
raise VE(errors)
return self.cleaned_data
class AdminReplacementForm(forms.Form):
admin_start_date = forms.DateField(label='From')
admin_end_date = forms.DateField(label='To')
def __init__(self, *args, **kwargs):
if 'user' in kwargs:
self.user = kwargs.pop('user')
super(AdminReplacementForm, self).__init__(*args, **kwargs)
USER_CHOICES = get_user_choices(self.user)
# print(USER_CHOICES)
self.fields['admin_rep'] = forms.ChoiceField(label='Administrative Responsibility To: ',
choices=USER_CHOICES)
def clean(self):
super(AdminReplacementForm, self).clean()
data = self.cleaned_data
start_date, end_date = data['admin_start_date'], data['admin_end_date']
errors = dict()
if start_date > end_date:
errors['admin_start_date'] = ['Administrative Start Date must not be more than the End Date']
"""now = timezone.now().date()
if data['admin_start_date'] < now:
error = 'You have inserted past date.'
if 'admin_start_date' in errors:
errors['admin_start_date'].append(error)
else:
errors['admin_start_date'] = error
if data['admin_end_date'] < now:
error = 'You have inserted past date.'
if 'admin_end_date' in errors:
errors['admin_end_date'].append(error)
else:
errors['admin_end_date'] = error"""
rep_user = User.objects.get(username=data['admin_rep'])
if LeaveSegment.objects.filter(Q(leave__applicant=rep_user),
~Q(leave__status='rejected'),
Q(start_date__range=[start_date, end_date]) |
Q(end_date__range=[start_date, end_date])).exists():
errors['admin_rep'] = [f'{rep_user.get_full_name()} may be on leave in this period.']
if errors.keys():
raise VE(errors)
return self.cleaned_data
class AcademicReplacementForm(forms.Form):
acad_start_date = forms.DateField(label='From')
acad_end_date = forms.DateField(label='To')
def __init__(self, *args, **kwargs):
if 'user' in kwargs:
self.user = kwargs.pop('user')
super(AcademicReplacementForm, self).__init__(*args, **kwargs)
USER_CHOICES = get_user_choices(self.user)
self.fields['acad_rep'] = forms.ChoiceField(label='Academic Responsibility To: ',
choices=USER_CHOICES)
def clean(self):
super(AcademicReplacementForm, self).clean()
data = self.cleaned_data
errors = dict()
start_date, end_date = data['acad_start_date'], data['acad_end_date']
if start_date > end_date:
errors['acad_start_date'] = ['Academic Start Date must not be more than End Date']
"""now = timezone.now().date()
if data['acad_start_date'] < now:
error = 'You have inserted past date.'
if 'acad_start_date' in errors:
errors['acad_start_date'].append(error)
else:
errors['acad_start_date'] = error
if data['acad_end_date'] < now:
error = 'You have inserted past date.'
if 'acad_end_date' in errors:
errors['acad_end_date'].append(error)
else:
errors['acad_end_date'] = error"""
rep_user = User.objects.get(username=data['acad_rep'])
if LeaveSegment.objects.filter(Q(leave__applicant=rep_user),
~Q(leave__status='rejected'),
Q(start_date__range=[start_date, end_date]) |
Q(end_date__range=[start_date, end_date])).exists():
errors['acad_rep'] = [f'{rep_user.get_full_name()} may be on leave in this period.']
if errors.keys():
raise VE(errors)
return self.cleaned_data
class BaseLeaveFormSet(BaseFormSet):
def __init__(self, *args, **kwargs):
if 'user' in kwargs:
self.user = kwargs.pop('user')
super(BaseLeaveFormSet, self).__init__(*args, **kwargs)
def clean(self):
super(BaseLeaveFormSet, self).clean()
curr_year = timezone.now().year
leave_counts = LeavesCount.objects.filter(user=self.user, year=curr_year)
mapping = dict()
for form in self.forms:
try:
data = form.cleaned_data
leave_type = LeaveType.objects.get(id=data.get('leave_type'))
#if leave_type.is_station:
# continue
count = get_leave_days(data.get('start_date'), data.get('end_date'),
leave_type, data.get('start_half'), data.get('end_half'))
if leave_type in mapping.keys():
mapping[leave_type] += count
else:
mapping[leave_type] = count
except:
raise VE('Some error occured, please contact admin.')
for key, value in mapping.items():
tp = leave_counts.get(leave_type=key)
if tp.remaining_leaves < value:
raise VE(f'There are only {tp.remaining_leaves} {tp.leave_type.name} '
f'Leaves remaining and you have filled {value}.')
class BaseAcadFormSet(BaseFormSet):
def clean(self):
pass
class BaseAdminFormSet(BaseFormSet):
def clean(self):
pass
class BaseCommonFormSet(BaseFormSet):
def clean(self):
pass
class LeaveSegmentFormOffline(forms.Form):
try:
LEAVE_TYPES = list((leave_type.id, leave_type.name)
for leave_type in LeaveType.objects.all())
except:
LEAVE_TYPES = []
#Changed by Abhay Gupta
l_type_fac=list((leave_type.id, leave_type.name) for leave_type in LeaveType.objects.all())
l_type_staff=list((leave_type.id, leave_type.name) for leave_type in LeaveType.objects.filter(for_staff=1))
#l_type=list(leave_type.name for leave_type in LeaveType.objects.all())
leave_type = forms.ChoiceField(label='Leave Type', choices=LEAVE_TYPES)
start_date = forms.DateField(label='Leave From', required=True)
end_date = forms.DateField(label='Leave To', required=True)
document = forms.FileField(label='Related Document', required=False)
start_half = forms.BooleanField(label='Half Day at start', required=False)
end_half = forms.BooleanField(label='Half Day at end', required=False)
address = forms.CharField(label='Out of Station Address', required=False)
def clean(self, *args, **kwargs):
super(LeaveSegmentFormOffline, self).clean(*args, **kwargs)
data = self.cleaned_data
errors = dict()
def check_special_leave_overlap(start_date, end_date, leave_type_id):
leave_type = LeaveType.objects.get(id=leave_type_id)
if leave_type.name.lower() in ['restricted']:
count = get_special_leave_count(start_date, end_date, leave_type.name.lower())
if count < 0:
return 'The period for this leave doesn\'t match with Restricted holiday calendar' \
'. Check Academic Calendar.'
elif leave_type.name.lower() in ['vacation']:
count = get_vacation_leave_count(start_date,end_date,leave_type.name.lower())
if count < 0:
return 'The period for this leave doesn\'t match with Vacation holidays' \
'. Check Academic Calendar.'
return ''
if data['start_date'] < data['end_date']:
error = check_special_leave_overlap(data.get('start_date'), data.get('end_date'),
data.get('leave_type'))
if error:
if 'leave_type' in errors:
errors['leave_type'].append(error)
else:
errors['leave_type'] = [error, ]
elif data['start_date'] == data['end_date']:
if data['start_half'] and data['end_half']:
errors['start_half'] = ['Invalid Input']
errors['end_half'] = ['Invalid Input']
else:
error = check_special_leave_overlap(data.get('start_date'), data.get('end_date'),
data.get('leave_type'))
if error:
if 'leave_type' in errors:
errors['leave_type'].append(error)
else:
errors['leave_type'] = [error, ]
else:
errors['start_date'] = ['Start date must not be more than End date.']
leave_type = LeaveType.objects.filter(id=data['leave_type']).first()
if leave_type and leave_type.requires_proof and not data.get('document'):
errors['document'] = [f'{leave_type.name} requires a document for proof.']
leave_type = LeaveType.objects.filter(id=data['leave_type']).first()
if leave_type and leave_type.requires_address and not data.get('address'):
errors['address'] = [f'{leave_type.name} requires Out of Station address.']
if errors.keys():
raise VE(errors)
return self.cleaned_data
class EmployeeCommonFormOffline(forms.Form):
purpose = forms.CharField(widget=forms.Textarea)
application_date = forms.DateField(label='Application Date')
USER_CHOICES = [(usr.username, "{} {}".format(usr.first_name, usr.last_name))
for usr in User.objects.filter(extrainfo__user_type__in=["faculty","staff"]) ]
leave_user_select = forms.ChoiceField(label='Choose Employee',choices=USER_CHOICES)
#is_station = forms.BooleanField(initial=False, required=False)
def clean(self):
super(EmployeeCommonFormOffline, self).clean()
data = self.cleaned_data
if not data.get('purpose'):
raise VE({'purpose': ['Please provide purpose of the leave.']})
elif not data.get('application_date'):
raise VE({'application_date': ['Please provide the application date of the leave.']})
return self.cleaned_data
class AdminReplacementFormOffline(forms.Form):
admin_start_date = forms.DateField(label='From')
admin_end_date = forms.DateField(label='To')
USER_CHOICES = [(usr.username, "{} {}".format(usr.first_name, usr.last_name))
for usr in User.objects.filter(extrainfo__user_type__in=["faculty","staff"]) ]
# print(USER_CHOICES)
admin_rep = forms.ChoiceField(label='Administrative Responsibility To: ',
choices=USER_CHOICES)
def clean(self):
super(AdminReplacementFormOffline, self).clean()
data = self.cleaned_data
start_date, end_date = data['admin_start_date'], data['admin_end_date']
errors = dict()
if start_date > end_date:
errors['admin_start_date'] = ['Administrative Start Date must not be more than End Date']
"""now = timezone.now().date()
if data['admin_start_date'] < now:
error = 'You have inserted past date.'
if 'admin_start_date' in errors:
errors['admin_start_date'].append(error)
else:
errors['admin_start_date'] = error
if data['admin_end_date'] < now:
error = 'You have inserted past date.'
if 'admin_end_date' in errors:
errors['admin_end_date'].append(error)
else:
errors['admin_end_date'] = error"""
if errors.keys():
raise VE(errors)
return self.cleaned_data
"""
rep_user = User.objects.get(username=data['admin_rep'])
if LeaveSegmentOffline.objects.filter(Q(leave__applicant=rep_user),
~Q(leave__status='rejected'),
Q(start_date__range=[start_date, end_date]) |
Q(end_date__range=[start_date, end_date])).exists():
errors['admin_rep'] = [f'{rep_user.get_full_name()} may be on leave in this period.']
"""
class AcademicReplacementFormOffline(forms.Form):
acad_start_date = forms.DateField(label='From')
acad_end_date = forms.DateField(label='To')
USER_CHOICES = [(usr.username, "{} {}".format(usr.first_name, usr.last_name))
for usr in User.objects.filter(extrainfo__user_type="faculty") ]
acad_rep = forms.ChoiceField(label='Academic Responsibility To: ',
choices=USER_CHOICES)
def clean(self):
super(AcademicReplacementFormOffline, self).clean()
data = self.cleaned_data
errors = dict()
start_date, end_date = data['acad_start_date'], data['acad_end_date']
if start_date > end_date:
errors['acad_start_date'] = ['Academic Start Date must not be more than End Date']
"""now = timezone.now().date()
if data['acad_start_date'] < now:
error = 'You have inserted past date.'
if 'acad_start_date' in errors:
errors['acad_start_date'].append(error)
else:
errors['acad_start_date'] = error
if data['acad_end_date'] < now:
error = 'You have inserted past date.'
if 'acad_end_date' in errors:
errors['acad_end_date'].append(error)
else:
errors['acad_end_date'] = error"""
if errors.keys():
raise VE(errors)
return self.cleaned_data
class BaseLeaveFormSetOffline(BaseFormSet):
"""def __init__(self, *args, **kwargs):
if 'user' in kwargs:
self.user = kwargs.pop('user')
super(BaseLeaveFormSetOffline, self).__init__(*args, **kwargs)"""
def clean(self):
super(BaseLeaveFormSetOffline, self).clean()
curr_year = timezone.now().year
data = self.cleaned_data
leave_counts = LeavesCount.objects.filter(user=User.objects.get(username=data['leave_user_select']), year=curr_year)
mapping = dict()
for form in self.forms:
try:
data = form.cleaned_data
leave_type = LeaveType.objects.get(id=data.get('leave_type'))
#if leave_type.is_station:
# continue
count = get_leave_days(data.get('start_date'), data.get('end_date'),
leave_type, data.get('start_half'), data.get('end_half'))
if leave_type in mapping.keys():
mapping[leave_type] += count
else:
mapping[leave_type] = count
except:
raise VE('Some error occured, please contact admin.')
for key, value in mapping.items():
tp = leave_counts.get(leave_type=key)
if tp.remaining_leaves < value:
raise VE(f'There are only {tp.remaining_leaves} {tp.leave_type.name} '
f'Leaves remaining and you have filled {value}.')
class BaseLeaveFormSetOffline(BaseFormSet):
def clean(self):
pass
class BaseAcadFormSetOffline(BaseFormSet):
def clean(self):
pass
class BaseAdminFormSetOffline(BaseFormSet):
def clean(self):
pass
class BaseCommonFormSetOffline(BaseFormSet):
def clean(self):
pass
| 38.65416 | 124 | 0.589576 | 2,743 | 23,695 | 4.884798 | 0.078017 | 0.070528 | 0.022315 | 0.023882 | 0.834465 | 0.820733 | 0.782446 | 0.761699 | 0.72998 | 0.717889 | 0 | 0.00042 | 0.297194 | 23,695 | 612 | 125 | 38.71732 | 0.804179 | 0.043131 | 0 | 0.752137 | 0 | 0 | 0.160088 | 0.004902 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068376 | false | 0.019943 | 0.022792 | 0 | 0.304843 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
16631af14c5dcdb5738b57bb22fb0ecfa2b07b8e | 61,028 | py | Python | tests/strategies/staggered_orders/test_staggered_orders_complex.py | fakegit/DEXBot | 44588f0cd7beb5f50508d966054d5f929818bf76 | [
"MIT"
] | 249 | 2018-01-11T09:08:30.000Z | 2022-03-20T23:05:29.000Z | tests/strategies/staggered_orders/test_staggered_orders_complex.py | fakegit/DEXBot | 44588f0cd7beb5f50508d966054d5f929818bf76 | [
"MIT"
] | 541 | 2018-01-10T12:56:08.000Z | 2021-12-22T02:22:09.000Z | tests/strategies/staggered_orders/test_staggered_orders_complex.py | fakegit/DEXBot | 44588f0cd7beb5f50508d966054d5f929818bf76 | [
"MIT"
] | 164 | 2018-01-22T07:01:56.000Z | 2022-03-21T06:00:33.000Z | import logging
import math
import time
from datetime import datetime
import pytest
from bitshares.amount import Amount
# Turn on debug for dexbot logger
log = logging.getLogger("dexbot")
log.setLevel(logging.DEBUG)
MODES = ['mountain', 'valley', 'neutral', 'buy_slope', 'sell_slope']
###################
# Most complex methods which depends on high-level methods
###################
def test_maintain_strategy_manual_cp_empty_market(worker):
"""On empty market, center price should be set to manual CP."""
worker.cancel_all_orders()
# Undefine market_center_price
worker.market_center_price = None
# Workaround for https://github.com/Codaone/DEXBot/issues/566
worker.last_check = datetime(2000, 1, 1)
worker.maintain_strategy()
assert worker.market_center_price == worker.center_price
def test_maintain_strategy_no_manual_cp_empty_market(worker):
"""Strategy should not work on empty market if no manual CP was set."""
worker.cancel_all_orders()
# Undefine market_center_price
worker.market_center_price = None
worker.center_price = None
# Workaround for https://github.com/Codaone/DEXBot/issues/566
worker.last_check = datetime(2000, 1, 1)
worker.maintain_strategy()
assert worker.market_center_price is None
def test_maintain_strategy_no_operation_results(worker, monkeypatch):
"""https://github.com/Codaone/DEXBot/issues/764."""
def mock(*args, **kwargs):
return {'operation_results': None}
monkeypatch.setattr(worker, 'retry_action', mock)
worker.maintain_strategy()
# Run twice!
worker.maintain_strategy()
@pytest.mark.parametrize('mode', MODES)
def test_maintain_strategy_basic(mode, worker, do_initial_allocation):
"""Check if intial orders placement is correct."""
worker = do_initial_allocation(worker, mode)
# Check target spread is reached
assert worker.get_actual_spread() == pytest.approx(worker.target_spread, abs=(worker.increment / 2))
# Check number of orders
price = worker.center_price * math.sqrt(1 + worker.target_spread)
sell_orders_count = worker.calc_sell_orders_count(price, worker.upper_bound)
assert len(worker.sell_orders) == sell_orders_count
price = worker.center_price / math.sqrt(1 + worker.target_spread)
buy_orders_count = worker.calc_buy_orders_count(price, worker.lower_bound)
assert len(worker.buy_orders) == buy_orders_count
# Make sure balances are allocated after full maintenance
# Unallocated balances are less than closest order amount
assert worker.base_balance['amount'] < worker.buy_orders[0]['base']['amount']
assert worker.quote_balance['amount'] < worker.sell_orders[0]['base']['amount']
# Test how ranges are covered
# Expect furthest order price to be less than increment x2
assert worker.buy_orders[-1]['price'] < worker.lower_bound * (1 + worker.increment * 2)
assert worker.sell_orders[-1]['price'] ** -1 > worker.upper_bound / (1 + worker.increment * 2)
@pytest.mark.parametrize('mode', MODES)
def test_maintain_strategy_one_sided(mode, base_worker, config_only_base, do_initial_allocation):
"""Test for one-sided start (buy only)"""
worker = base_worker(config_only_base)
do_initial_allocation(worker, mode)
# Check number of orders
price = worker.center_price / math.sqrt(1 + worker.target_spread)
buy_orders_count = worker.calc_buy_orders_count(price, worker.lower_bound)
assert len(worker.buy_orders) == buy_orders_count
# Make sure balances are allocated after full maintenance
# Unallocated balances are less than closest order amount
assert worker.base_balance['amount'] < worker.buy_orders[0]['base']['amount']
# Test how ranges are covered
# Expect furthest order price to be less than increment x2
assert worker.buy_orders[-1]['price'] < worker.lower_bound * (1 + worker.increment * 2)
def test_maintain_strategy_1sat(base_worker, config_1_sat, do_initial_allocation):
worker = base_worker(config_1_sat)
do_initial_allocation(worker, worker.mode)
# Check target spread is reached
assert worker.get_actual_spread() == pytest.approx(worker.target_spread, abs=(worker.increment / 2))
# Check number of orders
price = worker.center_price * math.sqrt(1 + worker.target_spread)
sell_orders_count = worker.calc_sell_orders_count(price, worker.upper_bound)
assert len(worker.sell_orders) == sell_orders_count
price = worker.center_price / math.sqrt(1 + worker.target_spread)
buy_orders_count = worker.calc_buy_orders_count(price, worker.lower_bound)
assert len(worker.buy_orders) == buy_orders_count
# Make sure balances are allocated after full maintenance
# Unallocated balances are less than closest order amount
assert worker.base_balance['amount'] < worker.buy_orders[0]['base']['amount']
assert worker.quote_balance['amount'] < worker.sell_orders[0]['base']['amount']
# Test how ranges are covered
# Expect furthest order price to be less than increment x2
assert worker.buy_orders[-1]['price'] < worker.lower_bound * (1 + worker.increment * 2)
assert worker.sell_orders[-1]['price'] ** -1 > worker.upper_bound / (1 + worker.increment * 2)
# Combine each mode with base and quote
@pytest.mark.parametrize('asset', ['base', 'quote'])
def test_maintain_strategy_fallback_logic(asset, worker, do_initial_allocation):
"""Check fallback logic: when spread is not reached, furthest order should be cancelled to make free funds to close
spread."""
do_initial_allocation(worker, worker.mode)
# TODO: strategy must turn off bootstrapping once target spread is reached
worker['bootstrapping'] = False
if asset == 'base':
worker.cancel_orders_wrapper(worker.buy_orders[0])
amount = worker.balance(worker.market['base']['symbol'])
worker.bitshares.reserve(amount, account=worker.account)
elif asset == 'quote':
worker.cancel_orders_wrapper(worker.sell_orders[0])
amount = worker.balance(worker.market['quote']['symbol'])
worker.bitshares.reserve(amount, account=worker.account)
worker.refresh_orders()
spread_before = worker.get_actual_spread()
assert spread_before > worker.target_spread + worker.increment
for _ in range(0, 6):
worker.maintain_strategy()
worker.refresh_orders()
spread_after = worker.get_actual_spread()
assert spread_after <= worker.target_spread + worker.increment
@pytest.mark.parametrize('asset', ['base', 'quote'])
def test_maintain_strategy_fallback_logic_disabled(asset, worker, do_initial_allocation):
"""Check fallback logic: when spread is not reached, furthest order should be cancelled to make free funds to close
spread."""
worker.enable_fallback_logic = False
worker.operational_depth = 2
do_initial_allocation(worker, 'valley')
# TODO: strategy must turn off bootstrapping once target spread is reached
worker['bootstrapping'] = False
if asset == 'base':
worker.cancel_orders_wrapper(worker.buy_orders[:3])
amount = worker.buy_orders[0]['base'] * 3
worker.bitshares.reserve(amount, account=worker.account)
elif asset == 'quote':
worker.cancel_orders_wrapper(worker.sell_orders[:3])
amount = worker.sell_orders[0]['base'] * 3
worker.bitshares.reserve(amount, account=worker.account)
worker.refresh_orders()
spread_before = worker.get_actual_spread()
assert spread_before > worker.target_spread + worker.increment
for _ in range(0, 6):
worker.maintain_strategy()
worker.refresh_orders()
spread_after = worker.get_actual_spread()
assert spread_after == spread_before
# Also check that operational depth is proper
assert len(worker.real_buy_orders) == pytest.approx(worker.operational_depth, abs=1)
assert len(worker.real_sell_orders) == pytest.approx(worker.operational_depth, abs=1)
def test_check_operational_depth(worker, do_initial_allocation):
"""Test for correct operational depth following."""
worker.operational_depth = 10
do_initial_allocation(worker, worker.mode)
worker['bootstrapping'] = False
# abs=1 means we're accepting slight error
assert len(worker.buy_orders) == pytest.approx(worker.operational_depth, abs=1)
assert len(worker.sell_orders) == pytest.approx(worker.operational_depth, abs=1)
worker.operational_depth = 2
worker.refresh_orders()
worker.check_operational_depth(worker.real_buy_orders, worker.virtual_buy_orders)
worker.check_operational_depth(worker.real_sell_orders, worker.virtual_sell_orders)
assert len(worker.real_buy_orders) == pytest.approx(worker.operational_depth, abs=1)
assert len(worker.real_sell_orders) == pytest.approx(worker.operational_depth, abs=1)
worker.operational_depth = 8
worker.refresh_orders()
worker.check_operational_depth(worker.real_buy_orders, worker.virtual_buy_orders)
worker.check_operational_depth(worker.real_sell_orders, worker.virtual_sell_orders)
assert len(worker.real_buy_orders) == pytest.approx(worker.operational_depth, abs=1)
assert len(worker.real_sell_orders) == pytest.approx(worker.operational_depth, abs=1)
def test_increase_order_sizes_valley_basic(worker, do_initial_allocation, issue_asset, increase_until_allocated):
"""Test increases in valley mode when all orders are equal (new allocation round)."""
do_initial_allocation(worker, 'valley')
# Double worker's balance
issue_asset(worker.market['base']['symbol'], worker.base_total_balance, worker.account.name)
issue_asset(worker.market['quote']['symbol'], worker.quote_total_balance, worker.account.name)
increase_until_allocated(worker)
# All orders must be equal-sized
for order in worker.buy_orders:
assert order['base']['amount'] == worker.buy_orders[0]['base']['amount']
for order in worker.sell_orders:
assert order['base']['amount'] == worker.sell_orders[0]['base']['amount']
def test_increase_order_sizes_valley_direction(worker, do_initial_allocation, issue_asset, increase_until_allocated):
"""
Test increase direction in valley mode: new allocation round must be started from closest order.
Buy side, amounts in BASE:
100 100 100 100 100
100 100 100 100 115
100 100 100 115 115
100 100 115 115 115
"""
do_initial_allocation(worker, 'valley')
# Add balance to increase several orders; 1.01 to mitigate rounding issues
increase_factor = max(1 + worker.increment, worker.min_increase_factor)
to_issue = worker.buy_orders[0]['base']['amount'] * (increase_factor - 1) * 3 * 1.01
issue_asset(worker.market['base']['symbol'], to_issue, worker.account.name)
to_issue = worker.sell_orders[0]['base']['amount'] * (increase_factor - 1) * 3 * 1.01
issue_asset(worker.market['quote']['symbol'], to_issue, worker.account.name)
increase_until_allocated(worker)
for order in worker.buy_orders:
assert order['base']['amount'] <= worker.buy_orders[0]['base']['amount']
for order in worker.sell_orders:
assert order['base']['amount'] <= worker.sell_orders[0]['base']['amount']
def test_increase_order_sizes_valley_transit_from_mountain(worker, do_initial_allocation, issue_asset):
"""
Transition from mountain to valley.
Buy side, amounts in BASE, increase should be like this:
70 80 90 100 <c>
80 80 90 100 <c>
80 90 90 100 <c>
90 90 90 100 <c>
"""
# Set up mountain
do_initial_allocation(worker, 'mountain')
# Switch to valley
worker.mode = 'valley'
for _ in range(0, 6):
# Add balance to increase ~1 order
to_issue = worker.buy_orders[0]['base']['amount']
issue_asset(worker.market['base']['symbol'], to_issue, worker.account.name)
previous_buy_orders = worker.buy_orders
worker.refresh_balances()
worker.increase_order_sizes('base', worker.base_balance, previous_buy_orders)
worker.refresh_orders()
for i in range(-1, -6, -1):
if (
previous_buy_orders[i]['base']['amount'] < previous_buy_orders[i - 1]['base']['amount']
and previous_buy_orders[i - 1]['base']['amount'] - previous_buy_orders[i]['base']['amount']
> previous_buy_orders[i]['base']['amount'] * worker.increment / 2
):
# Expect increased order if closer order is bigger than further
assert worker.buy_orders[i]['base']['amount'] > previous_buy_orders[i]['base']['amount']
# Only one check at a time
break
def test_increase_order_sizes_valley_smaller_closest_orders(worker, do_initial_allocation, increase_until_allocated):
"""
Test increase when closest-to-center orders are less than further orders. Normal situation when initial sides are
imbalanced and several orders were filled.
Buy side, amounts in BASE:
100 100 100 10 10 10 <center>
"""
worker = do_initial_allocation(worker, 'valley')
increase_until_allocated(worker)
# Cancel several closest orders
num_orders_to_cancel = 3
num_orders_before = len(worker.own_orders)
worker.cancel_orders_wrapper(worker.buy_orders[:num_orders_to_cancel])
worker.cancel_orders_wrapper(worker.sell_orders[:num_orders_to_cancel])
worker.refresh_orders()
worker.refresh_balances()
# Place limited orders
initial_base = worker.buy_orders[0]['base']['amount']
initial_quote = worker.sell_orders[0]['base']['amount']
base_limit = initial_base / 2
quote_limit = initial_quote / 2
for _ in range(0, num_orders_to_cancel):
worker.place_closer_order('base', worker.buy_orders[0], own_asset_limit=base_limit)
worker.place_closer_order('quote', worker.sell_orders[0], own_asset_limit=quote_limit)
worker.refresh_orders()
increase_until_allocated(worker)
# Number of orders should be the same
num_orders_after = len(worker.own_orders)
assert num_orders_before == num_orders_after
# New orders amounts should be equal to initial ones
# TODO: this relaxed test checks next closest orders because due to fp calculations closest orders may remain not
# increased
assert worker.buy_orders[1]['base']['amount'] == initial_base
assert worker.sell_orders[1]['base']['amount'] == initial_quote
def test_increase_order_sizes_valley_imbalaced_small_further(worker, do_initial_allocation, increase_until_allocated):
"""
If furthest orders are smaller than closest, they should be increased first. See
https://github.com/Codaone/DEXBot/issues/444 for details.
Buy side, amounts in BASE:
5 5 5 100 100 10 10 10 <center>
Should be:
10 10 10 100 100 10 10 10 <center>
"""
worker = do_initial_allocation(worker, 'valley')
# Cancel several closest orders
num_orders_to_cancel = 3
worker.cancel_orders_wrapper(worker.buy_orders[:num_orders_to_cancel])
# Cancel furthest orders
worker.cancel_orders_wrapper(worker.buy_orders[-num_orders_to_cancel:])
worker.refresh_orders()
worker.refresh_balances()
# Place limited orders
initial_base = worker.buy_orders[0]['base']['amount']
base_limit = initial_base / 2
for i in range(0, num_orders_to_cancel):
# Place smaller closer order
worker.place_closer_order('base', worker.buy_orders[0], own_asset_limit=base_limit)
# place_further_order() doesn't have own_asset_limit, so do own calculation
further_order = worker.place_further_order('base', worker.buy_orders[-1], place_order=False)
# Place smaller further order
to_buy = base_limit / further_order['price']
worker.place_market_buy_order(to_buy, further_order['price'])
worker.refresh_orders()
# Drop excess balance to only allow one increase round
worker.refresh_balances()
increase_factor = max(1 + worker.increment, worker.min_increase_factor)
to_keep = base_limit * (increase_factor - 1) * num_orders_to_cancel * 2 * 1.01
to_drop = worker.base_balance['amount'] - to_keep
amount = Amount(to_drop, worker.market['base']['symbol'], bitshares_instance=worker.bitshares)
worker.bitshares.reserve(amount, account=worker.account)
increase_until_allocated(worker)
for i in range(1, num_orders_to_cancel):
further_order_amount = worker.buy_orders[-i]['base']['amount']
closer_order_amount = worker.buy_orders[i - 1]['base']['amount']
assert further_order_amount == closer_order_amount
def test_increase_order_sizes_valley_closest_order(worker, do_initial_allocation, issue_asset):
"""Should test proper calculation of closest order: order should not be less that min_increase_factor."""
worker = do_initial_allocation(worker, 'valley')
# Add balance to increase 2 orders
increase_factor = max(1 + worker.increment, worker.min_increase_factor)
to_issue = worker.buy_orders[0]['base']['amount'] * (increase_factor - 1) * 2
issue_asset(worker.market['base']['symbol'], to_issue, worker.account.name)
previous_buy_orders = worker.buy_orders
worker.refresh_balances()
worker.increase_order_sizes('base', worker.base_balance, previous_buy_orders)
worker.refresh_orders()
assert worker.buy_orders[0]['base']['amount'] - previous_buy_orders[0]['base']['amount'] == pytest.approx(
previous_buy_orders[0]['base']['amount'] * (increase_factor - 1)
)
def test_increase_order_sizes_mountain_basic(worker, do_initial_allocation, issue_asset, increase_until_allocated):
"""
Test increases in mountain mode when all orders are equal (new allocation round).
New orders should be equal in their "quote"
"""
do_initial_allocation(worker, 'mountain')
increase_until_allocated(worker)
# Double worker's balance
issue_asset(worker.market['base']['symbol'], worker.base_total_balance, worker.account.name)
issue_asset(worker.market['quote']['symbol'], worker.quote_total_balance, worker.account.name)
increase_until_allocated(worker)
# All orders must be equal-sized in their quote, accept difference no more than increase_factor.
# This means all orders was increased and probably unfinished increase round may remain.
increase_factor = max(1 + worker.increment, worker.min_increase_factor)
for order in worker.buy_orders:
assert order['quote']['amount'] == pytest.approx(worker.buy_orders[0]['quote']['amount'], rel=(increase_factor))
for order in worker.sell_orders:
assert order['quote']['amount'] == pytest.approx(
worker.sell_orders[0]['quote']['amount'], rel=(increase_factor)
)
def test_increase_order_sizes_mountain_direction(worker, do_initial_allocation, issue_asset, increase_until_allocated):
"""
Test increase direction in mountain mode.
Buy side, amounts in QUOTE:
10 10 10 10 10
15 10 10 10 10
15 15 10 10 10
15 15 15 10 10
"""
do_initial_allocation(worker, 'mountain')
increase_until_allocated(worker)
worker.mode = 'mountain'
increase_factor = max(1 + worker.increment, worker.min_increase_factor)
for i in range(-1, -6, -1):
# Add balance to increase ~1 order
to_issue = worker.buy_orders[i]['base']['amount'] * (increase_factor - 1)
issue_asset(worker.market['base']['symbol'], to_issue, worker.account.name)
previous_buy_orders = worker.buy_orders
worker.refresh_balances()
worker.increase_order_sizes('base', worker.base_balance, previous_buy_orders)
worker.refresh_orders()
for i in range(-1, -6, -1):
if (
previous_buy_orders[i]['quote']['amount'] > previous_buy_orders[i - 1]['quote']['amount']
and previous_buy_orders[i]['quote']['amount'] - previous_buy_orders[i - 1]['quote']['amount']
> previous_buy_orders[i - 1]['quote']['amount'] * worker.increment / 2
):
# Expect increased order if further order is bigger than closer
assert worker.buy_orders[i - 1]['quote']['amount'] > previous_buy_orders[i - 1]['quote']['amount']
# Only one check at a time
break
def test_increase_order_sizes_mountain_furthest_order(
worker, do_initial_allocation, increase_until_allocated, issue_asset
):
"""Should test proper calculation of furthest order: try to maximize, don't allow too small increase."""
do_initial_allocation(worker, 'mountain')
previous_buy_orders = worker.buy_orders
# Add balance to increase ~1 order
increase_factor = max(1 + worker.increment, worker.min_increase_factor)
to_issue = worker.buy_orders[-1]['base']['amount'] * (increase_factor - 1) * 1.1
issue_asset(worker.market['base']['symbol'], to_issue, worker.account.name)
worker.refresh_balances()
increase_until_allocated(worker)
worker.refresh_orders()
assert worker.buy_orders[-1]['base']['amount'] - previous_buy_orders[-1]['base']['amount'] == pytest.approx(
previous_buy_orders[-1]['base']['amount'] * (increase_factor - 1),
rel=(10 ** -worker.market['base']['precision']),
)
def test_increase_order_sizes_mountain_imbalanced(worker, do_initial_allocation):
"""
Test situation when sides was imbalances, several orders filled on opposite side. This also tests transition from
vally to mountain.
Buy side, amounts in QUOTE:
100 100 100 10 10 10 <c>
100 100 100 20 10 10 <c>
100 100 100 20 20 10 <c>
"""
do_initial_allocation(worker, 'mountain')
worker.mode = 'mountain'
# Cancel several closest orders
num_orders_to_cancel = 3
worker.cancel_orders_wrapper(worker.buy_orders[:num_orders_to_cancel])
worker.refresh_orders()
worker.refresh_balances()
# Place limited orders
initial_base = worker.buy_orders[0]['base']['amount']
base_limit = initial_base / 2
# Add own_asset_limit only for first new order
worker.place_closer_order('base', worker.buy_orders[0], own_asset_limit=base_limit)
worker.refresh_orders()
for _ in range(1, num_orders_to_cancel):
worker.place_closer_order('base', worker.buy_orders[0])
worker.refresh_orders()
previous_buy_orders = worker.buy_orders
for _ in range(0, num_orders_to_cancel):
worker.refresh_balances()
worker.increase_order_sizes('base', worker.base_balance, worker.buy_orders)
worker.refresh_orders()
for order_index in range(0, num_orders_to_cancel):
order = worker.buy_orders[order_index]
if (
previous_buy_orders[order_index]['quote']['amount']
< previous_buy_orders[order_index + 1]['quote']['amount']
and previous_buy_orders[order_index + 1]['base']['amount']
- previous_buy_orders[order_index]['base']['amount']
> previous_buy_orders[order_index]['base']['amount'] * worker.increment / 2
):
# If order before increase was smaller than further order, expect to see it increased
assert order['quote']['amount'] > previous_buy_orders[order_index]['quote']['amount']
break
def test_increase_order_sizes_neutral_basic(worker, do_initial_allocation, issue_asset, increase_until_allocated):
"""Test increases in neutral mode when all orders are equal (new allocation round)"""
do_initial_allocation(worker, 'neutral')
increase_until_allocated(worker)
# Double worker's balance
issue_asset(worker.market['base']['symbol'], worker.base_total_balance, worker.account.name)
issue_asset(worker.market['quote']['symbol'], worker.quote_total_balance, worker.account.name)
increase_until_allocated(worker)
increase_factor = max(1 + worker.increment, worker.min_increase_factor)
for index, order in enumerate(worker.buy_orders):
if index == 0:
continue
# Assume amounts are equal within some tolerance, or accept difference at increase_factor size to detect new
# unfinished increase round
assert (
order['base']['amount']
== pytest.approx(
worker.buy_orders[index - 1]['base']['amount'] / math.sqrt(1 + worker.increment),
rel=(10 ** -worker.market['base']['precision']),
)
) or (
order['base']['amount']
== pytest.approx(
worker.buy_orders[index - 1]['base']['amount'] / math.sqrt(1 + worker.increment) / increase_factor,
rel=(10 ** -worker.market['base']['precision']),
)
)
for index, order in enumerate(worker.sell_orders):
if index == 0:
continue
assert (
order['base']['amount']
== pytest.approx(
worker.sell_orders[index - 1]['base']['amount'] / math.sqrt(1 + worker.increment),
rel=(10 ** -worker.market['quote']['precision']),
)
) or (
order['base']['amount']
== pytest.approx(
worker.sell_orders[index - 1]['base']['amount'] / math.sqrt(1 + worker.increment) / increase_factor,
rel=(10 ** -worker.market['quote']['precision']),
)
)
def test_increase_order_sizes_neutral_direction(worker, do_initial_allocation, issue_asset, increase_until_allocated):
"""
Test increase direction in neutral mode: new allocation round must be started from closest order.
Buy side, amounts in BASE:
100 100 100 100 100
100 100 100 100 115
100 100 100 114 115
100 100 113 114 115
"""
do_initial_allocation(worker, 'neutral')
# Add balance to increase several orders
increase_factor = max(1 + worker.increment, worker.min_increase_factor)
to_issue = worker.buy_orders[0]['base']['amount'] * (increase_factor - 1) * 3
issue_asset(worker.market['base']['symbol'], to_issue, worker.account.name)
to_issue = worker.sell_orders[0]['base']['amount'] * (increase_factor - 1) * 3
issue_asset(worker.market['quote']['symbol'], to_issue, worker.account.name)
increase_until_allocated(worker)
for order in worker.buy_orders:
assert order['base']['amount'] <= worker.buy_orders[0]['base']['amount']
for order in worker.sell_orders:
assert order['base']['amount'] <= worker.sell_orders[0]['base']['amount']
def test_increase_order_sizes_neutral_transit_from_mountain(worker, do_initial_allocation, issue_asset):
"""
Transition from mountain to neutral.
Buy side, amounts in BASE, increase should be like this:
70 80 90 100 <c>
80 80 90 100 <c>
80 90 90 100 <c>
90 90 90 100 <c>
"""
# Set up mountain
do_initial_allocation(worker, 'mountain')
# Switch to neutral
worker.mode = 'neutral'
# Add balance to increase several orders
to_issue = worker.buy_orders[0]['base']['amount'] * 10
issue_asset(worker.market['base']['symbol'], to_issue, worker.account.name)
for _ in range(0, 6):
previous_buy_orders = worker.buy_orders
worker.refresh_balances()
worker.increase_order_sizes('base', worker.base_balance, previous_buy_orders)
worker.refresh_orders()
for i in range(-1, -6, -1):
if (
previous_buy_orders[i]['base']['amount'] < previous_buy_orders[i - 1]['base']['amount']
and previous_buy_orders[i - 1]['base']['amount'] - previous_buy_orders[i]['base']['amount']
> previous_buy_orders[i]['base']['amount'] * worker.increment / 2
):
# Expect increased order if closer order is bigger than further
assert worker.buy_orders[i]['base']['amount'] > previous_buy_orders[i]['base']['amount']
# Only one check at a time
break
def test_increase_order_sizes_neutral_smaller_closest_orders(worker, do_initial_allocation, increase_until_allocated):
"""
Test increase when closest-to-center orders are less than further orders. Normal situation when initial sides are
imbalanced and several orders were filled.
Buy side, amounts in BASE:
100 100 100 10 10 10 <center>
"""
worker = do_initial_allocation(worker, 'neutral')
increase_until_allocated(worker)
initial_base = worker.buy_orders[0]['base']['amount']
initial_quote = worker.sell_orders[0]['base']['amount']
# Cancel several closest orders
num_orders_to_cancel = 3
worker.cancel_orders_wrapper(worker.buy_orders[:num_orders_to_cancel])
worker.cancel_orders_wrapper(worker.sell_orders[:num_orders_to_cancel])
worker.refresh_orders()
worker.refresh_balances()
# Place limited orders
base_limit = initial_base / 2
quote_limit = initial_quote / 2
worker.place_closer_order('base', worker.buy_orders[0], own_asset_limit=base_limit)
worker.place_closer_order('quote', worker.sell_orders[0], own_asset_limit=quote_limit)
worker.refresh_orders()
for _ in range(1, num_orders_to_cancel):
worker.place_closer_order('base', worker.buy_orders[0])
worker.place_closer_order('quote', worker.sell_orders[0])
worker.refresh_orders()
increase_until_allocated(worker)
increase_factor = max(1 + worker.increment, worker.min_increase_factor)
# New closest orders amount should be equal to initial ones
assert worker.buy_orders[0]['base']['amount'] == pytest.approx(
initial_base, rel=(0.1 * increase_factor * initial_base)
)
assert worker.sell_orders[0]['base']['amount'] == pytest.approx(
initial_quote, rel=(0.1 * increase_factor * initial_quote)
)
def test_increase_order_sizes_neutral_imbalaced_small_further(worker, do_initial_allocation, increase_until_allocated):
"""
If furthest orders are smaller than closest, they should be increased first. See
https://github.com/Codaone/DEXBot/issues/444 for details.
Buy side, amounts in BASE:
5 5 5 100 100 10 10 10 <center>
Should be:
10 10 10 100 100 10 10 10 <center>
"""
worker = do_initial_allocation(worker, 'neutral')
# Cancel several closest orders
num_orders_to_cancel = 3
worker.cancel_orders_wrapper(worker.buy_orders[:num_orders_to_cancel])
# Cancel furthest orders
worker.cancel_orders_wrapper(worker.buy_orders[-num_orders_to_cancel:])
worker.refresh_orders()
worker.refresh_balances()
# Place limited orders
initial_base = worker.buy_orders[0]['base']['amount']
base_limit = initial_base / 2
# Apply limit only for first order
worker.place_closer_order('base', worker.buy_orders[0], own_asset_limit=base_limit)
# place_further_order() doesn't have own_asset_limit, so do own calculation
further_order = worker.place_further_order('base', worker.buy_orders[-1], place_order=False)
worker.place_market_buy_order(base_limit / further_order['price'], further_order['price'])
worker.refresh_orders()
# Place remaining limited orders
for i in range(1, num_orders_to_cancel):
worker.place_closer_order('base', worker.buy_orders[0])
worker.place_further_order('base', worker.buy_orders[-1])
worker.refresh_orders()
# Drop excess balance to only allow one increase round
worker.refresh_balances()
increase_factor = max(1 + worker.increment, worker.min_increase_factor)
to_keep = base_limit * (increase_factor - 1) * num_orders_to_cancel * 2
to_drop = worker.base_balance['amount'] - to_keep
amount = Amount(to_drop, worker.market['base']['symbol'], bitshares_instance=worker.bitshares)
worker.bitshares.reserve(amount, account=worker.account)
increase_until_allocated(worker)
for i in range(1, num_orders_to_cancel):
# This is a simple check without precise calculation
# We're roughly checking that new furthest orders are not exceeds new closest orders
further_order_amount = worker.buy_orders[-i]['base']['amount']
closer_order_amount = worker.buy_orders[i - 1]['base']['amount']
assert further_order_amount < closer_order_amount
def test_increase_order_sizes_neutral_closest_order(
worker, do_initial_allocation, increase_until_allocated, issue_asset
):
"""Should test proper calculation of closest order: order should not be less that min_increase_factor."""
worker = do_initial_allocation(worker, 'neutral')
increase_until_allocated(worker)
# Add balance to increase 2 orders
increase_factor = max(1 + worker.increment, worker.min_increase_factor)
to_issue = worker.buy_orders[0]['base']['amount'] * (increase_factor - 1) * 2
issue_asset(worker.market['base']['symbol'], to_issue, worker.account.name)
previous_buy_orders = worker.buy_orders
worker.refresh_balances()
worker.increase_order_sizes('base', worker.base_balance, previous_buy_orders)
worker.refresh_orders()
assert worker.buy_orders[0]['base']['amount'] - previous_buy_orders[0]['base']['amount'] == pytest.approx(
previous_buy_orders[0]['base']['amount'] * (increase_factor - 1),
rel=(10 ** -worker.market['base']['precision']),
)
def test_increase_order_sizes_buy_slope(worker, do_initial_allocation, issue_asset, increase_until_allocated):
"""Check correct orders sizes on both sides."""
do_initial_allocation(worker, 'buy_slope')
# Double worker's balance
issue_asset(worker.market['base']['symbol'], worker.base_total_balance, worker.account.name)
issue_asset(worker.market['quote']['symbol'], worker.quote_total_balance, worker.account.name)
increase_until_allocated(worker)
increase_factor = max(1 + worker.increment, worker.min_increase_factor)
for order in worker.buy_orders:
# All buy orders must be equal-sized in BASE
assert order['base']['amount'] == worker.buy_orders[0]['base']['amount']
for index, order in enumerate(worker.sell_orders):
# Sell orders are equal-sized in BASE asset or diff is equal to increase_factor
if index == 0:
continue
assert (
order['quote']['amount']
== pytest.approx(
worker.sell_orders[index - 1]['quote']['amount'], rel=(10 ** -worker.market['base']['precision'])
)
) or (
order['quote']['amount']
== pytest.approx(
worker.sell_orders[index - 1]['quote']['amount'] * increase_factor,
rel=(0.1 * increase_factor * order['quote']['amount']),
)
)
def test_increase_order_sizes_sell_slope(worker, do_initial_allocation, issue_asset, increase_until_allocated):
"""Check correct orders sizes on both sides."""
do_initial_allocation(worker, 'sell_slope')
# Double worker's balance
issue_asset(worker.market['base']['symbol'], worker.base_total_balance, worker.account.name)
issue_asset(worker.market['quote']['symbol'], worker.quote_total_balance, worker.account.name)
increase_until_allocated(worker)
increase_factor = max(1 + worker.increment, worker.min_increase_factor)
for index, order in enumerate(worker.buy_orders):
# All buy orders must be equal-sized in market QUOTE or diff is equal to increase_factor
if index == 0:
continue
assert (
order['quote']['amount']
== pytest.approx(
worker.buy_orders[index - 1]['quote']['amount'], rel=(10 ** -worker.market['quote']['precision'])
)
) or (
order['quote']['amount']
== pytest.approx(
worker.buy_orders[index - 1]['quote']['amount'] * increase_factor,
rel=(0.1 * increase_factor * order['quote']['amount']),
)
)
for order in worker.sell_orders:
# All sell orders must be equal-sized in market QUOTE
assert order['base']['amount'] == worker.sell_orders[0]['base']['amount']
# Note: no other tests for slope modes because they are combined modes. If valley and mountain are ok, so slopes too
def test_allocate_asset_basic(worker):
"""Check that free balance is shrinking after each allocation and spread is decreasing."""
worker.refresh_balances()
spread_after = worker.get_actual_spread()
# Allocate asset until target spread will be reached
while spread_after >= worker.target_spread + worker.increment:
free_base = worker.base_balance
free_quote = worker.quote_balance
spread_before = worker.get_actual_spread()
worker.allocate_asset('base', free_base)
worker.allocate_asset('quote', free_quote)
worker.refresh_orders()
worker.refresh_balances(use_cached_orders=True)
spread_after = worker.get_actual_spread()
# Update whistory of balance changes
worker.base_balance_history.append(worker.base_balance['amount'])
worker.quote_balance_history.append(worker.quote_balance['amount'])
if len(worker.base_balance_history) > 3:
del worker.base_balance_history[0]
del worker.quote_balance_history[0]
# Free balance is shrinking after each allocation
assert worker.base_balance < free_base or worker.quote_balance < free_quote
# Actual spread is decreasing
assert spread_after < spread_before
def test_allocate_asset_replace_closest_partial_order(worker, other_worker, do_initial_allocation, issue_asset):
"""Test that partially filled order is replaced when target spread is not reached, before placing closer order."""
do_initial_allocation(worker, worker.mode)
# Sell some quote from another account to make PF order on buy side
price = worker.buy_orders[0]['price'] / 1.01
amount = worker.buy_orders[0]['quote']['amount'] * (1 - worker.partial_fill_threshold * 1.1)
other_worker.place_market_sell_order(amount, price)
# Fill sell order
price = worker.sell_orders[0]['price'] ** -1 * 1.01
amount = worker.sell_orders[0]['base']['amount']
other_worker.place_market_buy_order(amount, price)
# Expect replaced closest buy order
worker.refresh_orders()
worker.refresh_balances(use_cached_orders=True)
worker.allocate_asset('base', worker.base_balance)
worker.refresh_orders()
assert worker.buy_orders[0]['base']['amount'] == worker.buy_orders[0]['for_sale']['amount']
def test_allocate_asset_replace_partially_filled_orders(
worker, other_worker, do_initial_allocation, issue_asset, maintain_until_allocated
):
"""
Check replacement of partially filled orders on both sides.
Simple check.
"""
do_initial_allocation(worker, worker.mode)
# TODO: automatically turn off bootstrapping after target spread is closed?
worker['bootstrapping'] = False
# Partially fill closest orders
price = worker.buy_orders[0]['price']
amount = worker.buy_orders[0]['quote']['amount'] / 2
log.debug('Filling {} @ {}'.format(amount, price))
other_worker.place_market_sell_order(amount, price)
price = worker.sell_orders[0]['price'] ** -1
amount = worker.sell_orders[0]['base']['amount'] / 2
log.debug('Filling {} @ {}'.format(amount, price))
other_worker.place_market_buy_order(amount, price)
# Add some balance to worker
to_issue = worker.buy_orders[0]['base']['amount']
issue_asset(worker.market['base']['symbol'], to_issue, worker.account.name)
to_issue = worker.sell_orders[0]['base']['amount']
issue_asset(worker.market['quote']['symbol'], to_issue, worker.account.name)
maintain_until_allocated(worker)
worker.refresh_orders()
assert worker.buy_orders[0]['base']['amount'] == worker.buy_orders[0]['for_sale']['amount']
assert worker.sell_orders[0]['base']['amount'] == worker.sell_orders[0]['for_sale']['amount']
def test_allocate_asset_increase_orders(worker, do_initial_allocation, maintain_until_allocated, issue_asset):
"""Add balance, expect increased orders."""
do_initial_allocation(worker, worker.mode)
order_ids = [order['id'] for order in worker.own_orders]
balance_in_orders_before = worker.get_allocated_assets(order_ids)
to_issue = worker.buy_orders[0]['base']['amount'] * 3
issue_asset(worker.market['base']['symbol'], to_issue, worker.account.name)
to_issue = worker.sell_orders[0]['base']['amount'] * 3
issue_asset(worker.market['quote']['symbol'], to_issue, worker.account.name)
# Use maintain_strategy() here for simplicity
maintain_until_allocated(worker)
order_ids = [order['id'] for order in worker.own_orders]
balance_in_orders_after = worker.get_allocated_assets(order_ids)
assert balance_in_orders_after['base'] > balance_in_orders_before['base']
assert balance_in_orders_after['quote'] > balance_in_orders_before['quote']
def test_allocate_asset_dust_order_simple(
worker, other_worker, do_initial_allocation, maintain_until_allocated, base_account
):
"""Make dust order, check if it canceled and closer opposite order placed."""
do_initial_allocation(worker, worker.mode)
num_sell_orders_before = len(worker.sell_orders)
num_buy_orders_before = len(worker.buy_orders)
# Partially fill order from another account
sell_price = worker.buy_orders[0]['price'] / 1.01
sell_amount = worker.buy_orders[0]['quote']['amount'] * (1 - worker.partial_fill_threshold) * 1.1
other_worker.place_market_sell_order(sell_amount, sell_price)
worker.refresh_balances()
worker.refresh_orders()
worker.allocate_asset('quote', worker.quote_balance)
worker.refresh_orders()
num_sell_orders_after = len(worker.sell_orders)
num_buy_orders_after = len(worker.buy_orders)
assert num_buy_orders_before - num_buy_orders_after == 1
assert num_sell_orders_after - num_sell_orders_before == 1
def test_allocate_asset_dust_order_excess_funds(
worker, other_worker, do_initial_allocation, maintain_until_allocated, issue_asset
):
"""Make dust order, add additional funds, these funds should be allocated and then dust order should be canceled and
closer opposite order placed."""
do_initial_allocation(worker, worker.mode)
num_sell_orders_before = len(worker.sell_orders)
num_buy_orders_before = len(worker.buy_orders)
# Partially fill order from another account
sell_price = worker.buy_orders[0]['price'] / 1.01
sell_amount = worker.buy_orders[0]['quote']['amount'] * (1 - worker.partial_fill_threshold) * 1.1
other_worker.place_market_sell_order(sell_amount, sell_price)
# Add some balance to the worker
issue_asset(worker.market['quote']['symbol'], worker.sell_orders[0]['base']['amount'], worker.account.name)
worker.refresh_balances()
worker.refresh_orders()
worker.allocate_asset('quote', worker.quote_balance)
worker.refresh_orders()
num_sell_orders_after = len(worker.sell_orders)
num_buy_orders_after = len(worker.buy_orders)
assert num_buy_orders_before - num_buy_orders_after == 1
assert num_sell_orders_after - num_sell_orders_before == 1
def test_allocate_asset_dust_order_increase_race(worker, other_worker, do_initial_allocation, issue_asset):
"""
Test for https://github.com/Codaone/DEXBot/issues/587.
Check if cancelling dust orders on opposite side will not cause a race for allocate_asset() on opposite side
"""
do_initial_allocation(worker, worker.mode)
num_buy_orders_before = len(worker.buy_orders)
# Make closest sell order small enough to be a most likely candidate for increase
worker.cancel_orders_wrapper(worker.sell_orders[0])
worker.refresh_orders()
worker.refresh_balances()
worker.place_closer_order(
'quote', worker.sell_orders[0], own_asset_limit=(worker.sell_orders[0]['base']['amount'] / 2)
)
worker.refresh_orders()
# Partially fill order from another account
buy_price = worker.sell_orders[0]['price'] ** -1 * 1.01
buy_amount = worker.sell_orders[0]['base']['amount'] * (1 - worker.partial_fill_threshold) * 1.1
log.debug('{}, {}'.format(buy_price, buy_amount))
other_worker.place_market_buy_order(buy_amount, buy_price)
# PF fill sell order should be cancelled and closer buy placed
worker.maintain_strategy()
worker.refresh_orders()
num_buy_orders_after = len(worker.buy_orders)
assert num_buy_orders_after - num_buy_orders_before == 1
def test_allocate_asset_filled_orders(worker, other_worker, do_initial_allocation, base_account):
"""Fill an order and check if opposite order placed."""
do_initial_allocation(worker, worker.mode)
# TODO: automatically turn off bootstrapping after target spread is closed?
worker['bootstrapping'] = False
num_sell_orders_before = len(worker.sell_orders)
# Fill sell order
price = worker.buy_orders[0]['price']
amount = worker.buy_orders[0]['quote']['amount']
other_worker.place_market_sell_order(amount, price)
worker.refresh_balances()
worker.refresh_orders()
worker.allocate_asset('quote', worker.quote_balance)
worker.refresh_orders()
num_sell_orders_after = len(worker.sell_orders)
assert num_sell_orders_after - num_sell_orders_before == 1
def test_allocate_asset_filled_order_on_massively_imbalanced_sides(
worker, other_worker, do_initial_allocation, base_account
):
"""
When sides are massively imbalanced, make sure that spread will be closed after filling one order on smaller side.
The goal is to test a situation when one side has a big-sized orders, and other side has much smaller orders.
Correct behavior: when order on smaller side filled, big side should place closer order.
Test for https://github.com/Codaone/DEXBot/issues/588
"""
do_initial_allocation(worker, worker.mode)
spread_before = worker.get_actual_spread()
log.info('Worker spread after bootstrap: {}'.format(spread_before))
# TODO: automatically turn off bootstrapping after target spread is closed?
worker['bootstrapping'] = False
# Cancel several closest orders
num_orders_to_cancel = 3
worker.cancel_orders_wrapper(worker.sell_orders[:num_orders_to_cancel])
worker.refresh_orders()
worker.refresh_balances()
# Place limited orders; the goal is to limit order amount to be much smaller than opposite
quote_limit = worker.buy_orders[0]['quote']['amount'] * worker.partial_fill_threshold / 2
spread_after = worker.get_actual_spread()
while spread_after >= worker.target_spread + worker.increment:
# We're using spread check because we cannot just place same number of orders as num_orders_to_cancel because
# it may result in too close spread because of price shifts
worker.place_closer_order('quote', worker.sell_orders[0], own_asset_limit=quote_limit)
worker.refresh_orders()
spread_after = worker.get_actual_spread()
log.info('Worker spread: {}'.format(worker.get_actual_spread()))
# Fill only one newly placed order from another account
num_orders_to_fill = 1
for i in range(0, num_orders_to_fill):
price = worker.sell_orders[i]['price'] ** -1 * 1.01
amount = worker.sell_orders[i]['base']['amount'] * 1.01
log.debug('Filling {} @ {}'.format(amount, price))
other_worker.place_market_buy_order(amount, price)
# Cancel unmatched dust
other_worker.cancel_all_orders()
worker.refresh_orders()
worker.refresh_balances(use_cached_orders=True)
# Filling of one order should result in spread > target spread, othewise allocate_asset will not place closer prder
spread_after = worker.get_actual_spread()
assert spread_after >= worker.target_spread + worker.increment
# Allocate obtained BASE
counter = 0
while spread_after >= worker.target_spread + worker.increment:
worker.allocate_asset('base', worker.base_balance)
worker.refresh_orders()
worker.refresh_balances(use_cached_orders=True)
spread_after = worker.get_actual_spread()
counter += 1
# Counter is for preventing infinity loop
assert counter < 20
def test_allocate_asset_partially_filled_order_on_massively_imbalanced_sides(
worker, other_worker, do_initial_allocation, base_account
):
"""
When sides are massively imbalanced, make sure that spread will be closed after filling one order on smaller side.
The goal is to test a situation when one side has a big-sized orders, and other side has much smaller orders.
Correct behavior: when order on smaller side filled, big side should place closer order.
This test is similar to test_allocate_asset_filled_order_on_massively_imbalanced_sides, but tests partially
filled order where "calncel dust order" logic is in action.
Test for https://github.com/Codaone/DEXBot/issues/588
"""
do_initial_allocation(worker, worker.mode)
spread_before = worker.get_actual_spread()
log.info('Worker spread after bootstrap: {}'.format(spread_before))
# TODO: automatically turn off bootstrapping after target spread is closed?
worker['bootstrapping'] = False
# Cancel several closest orders
num_orders_to_cancel = 3
worker.cancel_orders_wrapper(worker.sell_orders[:num_orders_to_cancel])
worker.refresh_orders()
worker.refresh_balances()
# Place limited orders; the goal is to limit order amount to be much smaller than opposite
quote_limit = worker.buy_orders[0]['quote']['amount'] * worker.partial_fill_threshold / 2
spread_after = worker.get_actual_spread()
while spread_after >= worker.target_spread + worker.increment:
# We're using spread check because we cannot just place same number of orders as num_orders_to_cancel because
# it may result in too close spread because of price shifts
worker.place_closer_order('quote', worker.sell_orders[0], own_asset_limit=quote_limit)
worker.refresh_orders()
spread_after = worker.get_actual_spread()
log.info('Worker spread: {}'.format(worker.get_actual_spread()))
# Fill only one newly placed order from another account
num_orders_to_fill = 1
for i in range(0, num_orders_to_fill):
price = worker.sell_orders[i]['price'] ** -1 * 1.01
# Make partially filled order (dust order)
amount = worker.sell_orders[i]['base']['amount'] * (1 - worker.partial_fill_threshold) * 1.01
log.debug('Filling {} @ {}'.format(amount, price))
other_worker.place_market_buy_order(amount, price)
# Cancel unmatched dust
other_worker.cancel_all_orders()
worker.refresh_orders()
worker.refresh_balances(use_cached_orders=True)
# Check that we filled enough
assert not worker.check_partial_fill(worker.sell_orders[0], fill_threshold=(1 - worker.partial_fill_threshold))
# Expect dust order cancel + closer order
log.info('spread before allocate_asset(): {}'.format(worker.get_actual_spread()))
worker.allocate_asset('base', worker.base_balance)
worker.refresh_orders()
spread_after = worker.get_actual_spread()
assert spread_after < worker.target_spread + worker.increment
@pytest.mark.parametrize('mode', MODES)
def test_allocate_asset_several_filled_orders_on_massively_imbalanced_sides(
mode, worker, other_worker, do_initial_allocation, base_account
):
"""
When sides are massively imbalanced, make sure that spread will be closed after filling several orders on smaller
side. The goal is to test a situation when one side has a big-sized orders, and other side has much smaller orders.
Correct behavior: when multiple orders on smaller side filled at once, big side should place appropriate number of
closer orders to close the spread.
Test for https://github.com/Codaone/DEXBot/issues/601
"""
worker.mode = mode
do_initial_allocation(worker, worker.mode)
spread_before = worker.get_actual_spread()
log.info('Worker spread after bootstrap: {}'.format(spread_before))
# TODO: automatically turn off bootstrapping after target spread is closed?
worker['bootstrapping'] = False
# Cancel several closest orders
num_orders_to_cancel = 3
worker.cancel_orders_wrapper(worker.sell_orders[:num_orders_to_cancel])
worker.refresh_orders()
worker.refresh_balances()
# Place limited orders; the goal is to limit order amount to be much smaller than opposite
quote_limit = worker.buy_orders[0]['quote']['amount'] * worker.partial_fill_threshold / 2
place_limited_order = True
spread_after = worker.get_actual_spread()
while spread_after >= worker.target_spread + worker.increment:
# We're using spread check because we cannot just place same number of orders as num_orders_to_cancel because
# it may result in too close spread because of price shifts
limit = quote_limit if place_limited_order else None
worker.place_closer_order('quote', worker.sell_orders[0], own_asset_limit=limit)
worker.refresh_orders()
worker.sync_current_orders()
spread_after = worker.get_actual_spread()
place_limited_order = False # only first order should be limited
log.info('Worker spread: {}'.format(worker.get_actual_spread()))
# Fill only one newly placed order from another account
num_orders_to_fill = num_orders_to_cancel
for i in range(0, num_orders_to_fill):
price = worker.sell_orders[i]['price'] ** -1 * 1.01
amount = worker.sell_orders[i]['base']['amount'] * 1.01
log.debug('Filling {} @ {}'.format(amount, price))
other_worker.place_market_buy_order(amount, price)
# Cancel unmatched dust
other_worker.cancel_all_orders()
worker.refresh_orders()
worker.refresh_balances(use_cached_orders=True)
# Allocate obtained BASE
counter = 0
spread_after = worker.get_actual_spread()
while spread_after >= worker.target_spread + worker.increment:
worker.allocate_asset('base', worker.base_balance)
worker.refresh_orders()
worker.refresh_balances(use_cached_orders=True)
spread_after = worker.get_actual_spread()
counter += 1
# Counter is for preventing infinity loop
# Success execution means target spread is reached
assert counter < 20
@pytest.mark.parametrize('mode', MODES)
def test_allocate_asset_limiting_on_sell_side(mode, worker, other_worker, do_initial_allocation, base_account):
"""Check order size limiting when placing closer order on side which is bigger (using funds obtained from filled
orders on side which is smaller)"""
do_initial_allocation(worker, mode)
# TODO: automatically turn off bootstrapping after target spread is closed?
worker['bootstrapping'] = False
# Fill several orders
num_orders_to_fill = 4
for i in range(0, num_orders_to_fill):
price = worker.buy_orders[i]['price'] / 1.01
amount = worker.buy_orders[i]['quote']['amount']
log.debug('Filling buy order buys {} QUOTE @ {}'.format(amount, price))
other_worker.place_market_sell_order(amount, price)
# Cancel unmatched dust
other_worker.cancel_all_orders()
# Allocate asset until target spread will be reached
worker.refresh_orders()
worker.refresh_balances(use_cached_orders=True)
spread_after = worker.get_actual_spread()
counter = 0
while spread_after >= worker.target_spread + worker.increment:
worker.allocate_asset('quote', worker.quote_balance)
worker.refresh_orders()
worker.refresh_balances(use_cached_orders=True)
spread_after = worker.get_actual_spread()
counter += 1
# Counter is for preventing infinity loop
assert counter < 20
# Check 2 closest orders to match mode
if worker.mode == 'valley' or worker.mode == 'sell_slope':
assert worker.sell_orders[0]['base']['amount'] == pytest.approx(worker.sell_orders[1]['base']['amount'])
elif worker.mode == 'mountain':
assert (
worker.sell_orders[0]['base']['amount']
== pytest.approx(worker.sell_orders[1]['base']['amount'], abs=(10 ** -worker.market['quote']['precision']))
or worker.sell_orders[0]['base']['amount'] >= worker.sell_orders[1]['base']['amount']
)
elif worker.mode == 'buy_slope':
assert worker.sell_orders[0]['quote']['amount'] == pytest.approx(
worker.sell_orders[1]['quote']['amount'], rel=(10 ** -worker.market['base']['precision'])
)
elif worker.mode == 'neutral':
assert worker.sell_orders[0]['base']['amount'] == pytest.approx(
worker.sell_orders[1]['base']['amount'] * math.sqrt(1 + worker.increment),
rel=(10 ** -worker.market['quote']['precision']),
)
@pytest.mark.parametrize('mode', MODES)
def test_allocate_asset_limiting_on_buy_side(mode, worker, other_worker, do_initial_allocation, issue_asset):
"""Check order size limiting when placing closer order on side which is bigger (using funds obtained from filled
orders on side which is smaller)"""
worker.center_price = 1
worker.lower_bound = 0.4
worker.upper_bound = 1.4
do_initial_allocation(worker, mode)
# TODO: automatically turn off bootstrapping after target spread is closed?
worker['bootstrapping'] = False
# Fill several orders
num_orders_to_fill = 5
for i in range(0, num_orders_to_fill):
price = worker.sell_orders[i]['price'] ** -1 * 1.01
amount = worker.sell_orders[i]['base']['amount']
log.debug('Filling {} QUOTE @ {}'.format(amount, price))
other_worker.place_market_buy_order(amount, price)
# Cancel unmatched dust
other_worker.cancel_all_orders()
# Allocate asset until target spread will be reached
worker.refresh_orders()
worker.refresh_balances(use_cached_orders=True)
spread_after = worker.get_actual_spread()
counter = 0
while spread_after >= worker.target_spread + worker.increment:
worker.allocate_asset('base', worker.base_balance)
worker.refresh_orders()
worker.refresh_balances(use_cached_orders=True)
spread_after = worker.get_actual_spread()
counter += 1
# Counter is for preventing infinity loop
assert counter < 20
# Check 2 closest orders to match mode
if worker.mode == 'valley' or worker.mode == 'buy_slope':
assert worker.buy_orders[0]['base']['amount'] == worker.buy_orders[1]['base']['amount']
elif worker.mode == 'mountain':
# In mountain mode allow both equal orders and increased closest order - it may be placed without limiting
assert (
worker.buy_orders[0]['base']['amount']
== pytest.approx(worker.buy_orders[1]['base']['amount'], abs=(10 ** -worker.market['base']['precision']))
or worker.buy_orders[0]['base']['amount'] >= worker.buy_orders[1]['base']['amount']
)
elif worker.mode == 'sell_slope':
assert worker.buy_orders[0]['quote']['amount'] == pytest.approx(
worker.buy_orders[1]['quote']['amount'], rel=(10 ** -worker.market['base']['precision'])
)
elif worker.mode == 'neutral':
assert worker.buy_orders[0]['base']['amount'] == pytest.approx(
worker.buy_orders[1]['base']['amount'] * math.sqrt(1 + worker.increment),
rel=(10 ** -worker.market['base']['precision']),
)
def test_get_actual_spread(worker):
worker.maintain_strategy()
# Twice run needed
worker.maintain_strategy()
worker.refresh_orders()
spread = worker.get_actual_spread()
assert float('Inf') > spread > 0
def test_stop_loss_check(worker, other_worker, do_initial_allocation, issue_asset):
worker.operational_depth = 100
worker.target_spread = 0.1 # speed up allocation
do_initial_allocation(worker, worker.mode)
# Issue additional QUOTE to 2nd account
issue_asset(worker.market['quote']['symbol'], 500, other_worker.account.name)
# Sleep is needed to allow node to update ticker
time.sleep(2)
# Normal conditions - stop loss should not be executed
worker.stop_loss_check()
assert worker.disabled is False
# Place bid below lower bound
other_worker.place_market_buy_order(1, worker.lower_bound / 1.01)
# Fill all orders pushing price below lower bound
other_worker.place_market_sell_order(500, worker.lower_bound)
time.sleep(2)
worker.refresh_orders()
worker.stop_loss_check()
worker.refresh_orders()
assert len(worker.sell_orders) == 1
order = worker.sell_orders[0]
assert order['price'] ** -1 < worker.lower_bound
assert worker.disabled is True
def test_tick(worker):
"""Check tick counter increment."""
counter_before = worker.counter
worker.tick('foo')
counter_after = worker.counter
assert counter_after - counter_before == 1
| 43.129329 | 120 | 0.706741 | 8,156 | 61,028 | 5.045365 | 0.052477 | 0.041555 | 0.043013 | 0.021774 | 0.867801 | 0.84034 | 0.809623 | 0.774702 | 0.742503 | 0.704447 | 0 | 0.017713 | 0.185013 | 61,028 | 1,414 | 121 | 43.15983 | 0.809639 | 0.21341 | 0 | 0.702607 | 0 | 0 | 0.069435 | 0 | 0 | 0 | 0 | 0.007072 | 0.11019 | 1 | 0.052133 | false | 0 | 0.007109 | 0.001185 | 0.060427 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
1685b68379f96f18039476e92b6310ef685f77e1 | 22,510 | py | Python | sdk/formrecognizer/azure-ai-formrecognizer/tests/test_training_async.py | praveenkuttappan/azure-sdk-for-python | 4b79413667b7539750a6c7dde15737013a3d4bd5 | [
"MIT"
] | 2 | 2021-09-07T18:30:33.000Z | 2021-11-23T02:50:57.000Z | sdk/formrecognizer/azure-ai-formrecognizer/tests/test_training_async.py | praveenkuttappan/azure-sdk-for-python | 4b79413667b7539750a6c7dde15737013a3d4bd5 | [
"MIT"
] | 4 | 2021-10-06T16:39:52.000Z | 2021-11-18T18:33:37.000Z | sdk/formrecognizer/azure-ai-formrecognizer/tests/test_training_async.py | praveenkuttappan/azure-sdk-for-python | 4b79413667b7539750a6c7dde15737013a3d4bd5 | [
"MIT"
] | null | null | null | # coding=utf-8
# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
import asyncio
import uuid
import warnings
import logging
import pytest
import functools
from azure.core.credentials import AzureKeyCredential
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError
from azure.ai.formrecognizer._generated.v2021_09_30_preview.models import GetOperationResponse, ModelInfo
from azure.ai.formrecognizer._models import CustomFormModel, DocumentModel
from azure.ai.formrecognizer.aio import FormTrainingClient, DocumentModelAdministrationClient
from azure.ai.formrecognizer import _models
from preparers import FormRecognizerPreparer
from asynctestcase import AsyncFormRecognizerTest
from preparers import GlobalClientPreparer as _GlobalClientPreparer
FormTrainingClientPreparer = functools.partial(_GlobalClientPreparer, FormTrainingClient)
DocumentModelAdministrationClientPreparer = functools.partial(_GlobalClientPreparer, DocumentModelAdministrationClient)
class TestTrainingAsync(AsyncFormRecognizerTest):
@FormRecognizerPreparer()
@DocumentModelAdministrationClientPreparer()
async def test_build_model_polling_interval(self, client, formrecognizer_storage_container_sas_url):
def check_poll_value(poll):
if self.is_live:
assert poll == 5
else:
assert poll == 0
check_poll_value(client._client._config.polling_interval)
poller = await client.begin_build_model(source=formrecognizer_storage_container_sas_url, polling_interval=6)
await poller.wait()
assert poller._polling_method._timeout == 6
poller2 = await client.begin_build_model(source=formrecognizer_storage_container_sas_url)
await poller2.wait()
check_poll_value(poller2._polling_method._timeout) # goes back to client default
await client.close()
@FormRecognizerPreparer()
@DocumentModelAdministrationClientPreparer()
async def test_build_model_encoded_url(self, client):
with pytest.raises(HttpResponseError):
async with client:
poller = await client.begin_build_model(
source="https://fakeuri.com/blank%20space"
)
assert "https://fakeuri.com/blank%20space" in poller._polling_method._initial_response.http_request.body
await poller.wait()
@FormRecognizerPreparer()
async def test_build_model_auth_bad_key(self, formrecognizer_test_endpoint, formrecognizer_test_api_key):
client = DocumentModelAdministrationClient(formrecognizer_test_endpoint, AzureKeyCredential("xxxx"))
with pytest.raises(ClientAuthenticationError):
async with client:
poller = await client.begin_build_model("xx")
result = await poller.result()
@FormRecognizerPreparer()
@DocumentModelAdministrationClientPreparer()
async def test_build_model(self, client, formrecognizer_storage_container_sas_url):
model_id = str(uuid.uuid4())
async with client:
poller = await client.begin_build_model(
formrecognizer_storage_container_sas_url,
model_id=model_id,
description="a v3 model"
)
model = await poller.result()
if self.is_live:
assert model.model_id == model_id
assert model.model_id
assert model.description == "a v3 model"
assert model.created_on
for name, doc_type in model.doc_types.items():
assert name
for key, field in doc_type.field_schema.items():
assert key
assert field["type"]
assert doc_type.field_confidence[key] is not None
@FormRecognizerPreparer()
@DocumentModelAdministrationClientPreparer()
async def test_build_model_multipage(self, client, formrecognizer_multipage_storage_container_sas_url):
async with client:
poller = await client.begin_build_model(formrecognizer_multipage_storage_container_sas_url)
model = await poller.result()
assert model.model_id
assert model.description is None
assert model.created_on
for name, doc_type in model.doc_types.items():
assert name
for key, field in doc_type.field_schema.items():
assert key
assert field["type"]
assert doc_type.field_confidence[key] is not None
@FormRecognizerPreparer()
@DocumentModelAdministrationClientPreparer()
async def test_build_model_nested_schema(self, client, formrecognizer_table_variable_rows_container_sas_url):
async with client:
poller = await client.begin_build_model(formrecognizer_table_variable_rows_container_sas_url)
model = await poller.result()
assert model.model_id
assert model.description is None
assert model.created_on
for name, doc_type in model.doc_types.items():
assert name
for key, field in doc_type.field_schema.items():
assert key
assert field["type"]
assert doc_type.field_confidence[key] is not None
@FormRecognizerPreparer()
@DocumentModelAdministrationClientPreparer()
async def test_build_model_transform(self, client, formrecognizer_storage_container_sas_url):
raw_response = []
def callback(response, _, headers):
op_response = client._deserialize(GetOperationResponse, response)
model_info = client._deserialize(ModelInfo, op_response.result)
document_model = DocumentModel._from_generated(model_info)
raw_response.append(model_info)
raw_response.append(document_model)
async with client:
poller = await client.begin_build_model(formrecognizer_storage_container_sas_url, cls=callback)
model = await poller.result()
raw_model = raw_response[0]
document_model = raw_response[1]
self.assertModelTransformCorrect(document_model, raw_model)
document_model_dict = document_model.to_dict()
document_model_from_dict = _models.DocumentModel.from_dict(document_model_dict)
assert document_model_from_dict.model_id == document_model.model_id
self.assertModelTransformCorrect(document_model_from_dict, raw_model)
@FormRecognizerPreparer()
@DocumentModelAdministrationClientPreparer()
async def test_build_model_multipage_transform(self, client, formrecognizer_multipage_storage_container_sas_url):
raw_response = []
def callback(response, _, headers):
op_response = client._deserialize(GetOperationResponse, response)
model_info = client._deserialize(ModelInfo, op_response.result)
document_model = DocumentModel._from_generated(model_info)
raw_response.append(model_info)
raw_response.append(document_model)
async with client:
poller = await client.begin_build_model(formrecognizer_multipage_storage_container_sas_url, cls=callback)
model = await poller.result()
raw_model = raw_response[0]
document_model = raw_response[1]
self.assertModelTransformCorrect(document_model, raw_model)
@FormRecognizerPreparer()
@DocumentModelAdministrationClientPreparer()
async def test_build_model_nested_schema_transform(self, client, formrecognizer_table_variable_rows_container_sas_url):
raw_response = []
def callback(response, _, headers):
op_response = client._deserialize(GetOperationResponse, response)
model_info = client._deserialize(ModelInfo, op_response.result)
document_model = DocumentModel._from_generated(model_info)
raw_response.append(model_info)
raw_response.append(document_model)
async with client:
poller = await client.begin_build_model(formrecognizer_table_variable_rows_container_sas_url, cls=callback)
model = await poller.result()
raw_model = raw_response[0]
document_model = raw_response[1]
self.assertModelTransformCorrect(document_model, raw_model)
document_model_dict = document_model.to_dict()
document_model_from_dict = _models.DocumentModel.from_dict(document_model_dict)
assert document_model_from_dict.model_id == document_model.model_id
self.assertModelTransformCorrect(document_model_from_dict, raw_model)
@FormRecognizerPreparer()
@DocumentModelAdministrationClientPreparer()
async def test_build_model_azure_blob_path_filter(self, client, formrecognizer_storage_container_sas_url):
with pytest.raises(HttpResponseError) as e:
async with client:
poller = await client.begin_build_model(formrecognizer_storage_container_sas_url, prefix="subfolder")
model = await poller.result()
@FormRecognizerPreparer()
@DocumentModelAdministrationClientPreparer()
@pytest.mark.live_test_only
async def test_build_model_continuation_token(self, client, formrecognizer_storage_container_sas_url):
async with client:
initial_poller = await client.begin_build_model(formrecognizer_storage_container_sas_url)
cont_token = initial_poller.continuation_token()
poller = await client.begin_build_model(None, continuation_token=cont_token)
result = await poller.result()
assert result
await initial_poller.wait() # necessary so azure-devtools doesn't throw assertion error
@FormRecognizerPreparer()
@DocumentModelAdministrationClientPreparer()
async def test_build_model_poller_metadata(self, client, formrecognizer_storage_container_sas_url):
async with client:
poller = await client.begin_build_model(formrecognizer_storage_container_sas_url)
assert poller.operation_id
assert poller.percent_completed is not None
await poller.result()
assert poller.operation_kind == "documentModelBuild"
assert poller.percent_completed == 100
assert poller.resource_location_url
assert poller.created_on
assert poller.last_updated_on
# --------------------------------------- BACK COMPATABILITY TESTS ---------------------------------------
@FormRecognizerPreparer()
@FormTrainingClientPreparer(client_kwargs={"api_version": "2.0"})
async def test_training_with_labels_v2(self, client, formrecognizer_storage_container_sas_url_v2):
async with client:
poller = await client.begin_training(training_files_url=formrecognizer_storage_container_sas_url_v2, use_training_labels=True)
model = await poller.result()
model_dict = model.to_dict()
model = CustomFormModel.from_dict(model_dict)
assert model.model_id
assert model.training_started_on
assert model.training_completed_on
assert model.errors == []
assert model.status == "ready"
for doc in model.training_documents:
assert doc.name
assert doc.page_count
assert doc.status
assert doc.errors == []
for sub in model.submodels:
assert sub.form_type
assert sub.accuracy is not None
for key, field in sub.fields.items():
assert field.accuracy is not None
assert field.name
@FormRecognizerPreparer()
@FormTrainingClientPreparer(client_kwargs={"api_version": "2.0"})
async def test_training_multipage_with_labels_v2(self, client, formrecognizer_multipage_storage_container_sas_url_v2):
async with client:
poller = await client.begin_training(formrecognizer_multipage_storage_container_sas_url_v2, use_training_labels=True)
model = await poller.result()
assert model.model_id
assert model.training_started_on
assert model.training_completed_on
assert model.errors == []
assert model.status == "ready"
for doc in model.training_documents:
assert doc.name
assert doc.page_count
assert doc.status
assert doc.errors == []
for sub in model.submodels:
assert sub.form_type
assert sub.accuracy is not None
for key, field in sub.fields.items():
assert field.accuracy is not None
assert field.name
@FormRecognizerPreparer()
@FormTrainingClientPreparer(client_kwargs={"api_version": "2.0"})
async def test_training_without_labels_v2(self, client, formrecognizer_storage_container_sas_url_v2):
async with client:
poller = await client.begin_training(training_files_url=formrecognizer_storage_container_sas_url_v2, use_training_labels=True)
model = await poller.result()
model_dict = model.to_dict()
model = CustomFormModel.from_dict(model_dict)
assert model.model_id
assert model.training_started_on
assert model.training_completed_on
assert model.errors == []
assert model.status == "ready"
for doc in model.training_documents:
assert doc.name
assert doc.page_count
assert doc.status
assert doc.errors == []
for sub in model.submodels:
assert sub.form_type
assert sub.accuracy is not None
for key, field in sub.fields.items():
assert field.accuracy is not None
assert field.name
@FormRecognizerPreparer()
@FormTrainingClientPreparer(client_kwargs={"api_version": "2.0"})
async def test_training_multipage_without_labels_v2(self, client, formrecognizer_multipage_storage_container_sas_url_v2):
async with client:
poller = await client.begin_training(formrecognizer_multipage_storage_container_sas_url_v2, use_training_labels=True)
model = await poller.result()
assert model.model_id
assert model.training_started_on
assert model.training_completed_on
assert model.errors == []
assert model.status == "ready"
for doc in model.training_documents:
assert doc.name
assert doc.page_count
assert doc.status
assert doc.errors == []
for sub in model.submodels:
assert sub.form_type
assert sub.accuracy is not None
for key, field in sub.fields.items():
assert field.accuracy is not None
assert field.name
@FormRecognizerPreparer()
@FormTrainingClientPreparer(client_kwargs={"api_version": "2.0"})
async def test_training_with_files_filter_v2(self, client, formrecognizer_storage_container_sas_url_v2):
async with client:
poller = await client.begin_training(training_files_url=formrecognizer_storage_container_sas_url_v2, use_training_labels=False, include_subfolders=True)
model = await poller.result()
assert len(model.training_documents) == 6
assert model.training_documents[-1].name == "subfolder/Form_6.jpg" # we traversed subfolders
poller = await client.begin_training(formrecognizer_storage_container_sas_url_v2, use_training_labels=False, prefix="subfolder", include_subfolders=True)
model = await poller.result()
assert len(model.training_documents) == 1
assert model.training_documents[0].name == "subfolder/Form_6.jpg" # we filtered for only subfolders
with pytest.raises(HttpResponseError) as e:
poller = await client.begin_training(training_files_url=formrecognizer_storage_container_sas_url_v2, use_training_labels=False, prefix="xxx")
model = await poller.result()
assert e.value.error.code
assert e.value.error.message
@FormRecognizerPreparer()
@FormTrainingClientPreparer(client_kwargs={"api_version": "2.1"})
async def test_training_with_labels_v21(self, client, formrecognizer_storage_container_sas_url_v2):
async with client:
poller = await client.begin_training(training_files_url=formrecognizer_storage_container_sas_url_v2, use_training_labels=True, model_name="my labeled model")
model = await poller.result()
model_dict = model.to_dict()
model = CustomFormModel.from_dict(model_dict)
assert model.model_id
assert model.model_name == "my labeled model"
assert model.training_started_on
assert model.training_completed_on
assert model.errors == []
assert model.status == "ready"
for doc in model.training_documents:
assert doc.name
assert doc.page_count
assert doc.status
assert doc.errors == []
for sub in model.submodels:
assert sub.form_type
assert sub.accuracy is not None
for key, field in sub.fields.items():
assert field.accuracy is not None
assert field.name
@FormRecognizerPreparer()
@FormTrainingClientPreparer(client_kwargs={"api_version": "2.1"})
async def test_training_multipage_with_labels_v21(self, client, formrecognizer_multipage_storage_container_sas_url_v2):
async with client:
poller = await client.begin_training(formrecognizer_multipage_storage_container_sas_url_v2, use_training_labels=True)
model = await poller.result()
assert model.model_id
assert model.training_started_on
assert model.training_completed_on
assert model.errors == []
assert model.status == "ready"
for doc in model.training_documents:
assert doc.name
assert doc.page_count
assert doc.status
assert doc.errors == []
for sub in model.submodels:
assert sub.form_type
assert sub.accuracy is not None
for key, field in sub.fields.items():
assert field.accuracy is not None
assert field.name
@FormRecognizerPreparer()
@FormTrainingClientPreparer(client_kwargs={"api_version": "2.1"})
async def test_training_without_labels_v21(self, client, formrecognizer_storage_container_sas_url_v2):
async with client:
poller = await client.begin_training(training_files_url=formrecognizer_storage_container_sas_url_v2, use_training_labels=True, model_name="my labeled model")
model = await poller.result()
model_dict = model.to_dict()
model = CustomFormModel.from_dict(model_dict)
assert model.model_id
assert model.model_name == "my labeled model"
assert model.training_started_on
assert model.training_completed_on
assert model.errors == []
assert model.status == "ready"
for doc in model.training_documents:
assert doc.name
assert doc.page_count
assert doc.status
assert doc.errors == []
for sub in model.submodels:
assert sub.form_type
assert sub.accuracy is not None
for key, field in sub.fields.items():
assert field.accuracy is not None
assert field.name
@FormRecognizerPreparer()
@FormTrainingClientPreparer(client_kwargs={"api_version": "2.1"})
async def test_training_multipage_without_labels_v21(self, client, formrecognizer_multipage_storage_container_sas_url_v2):
async with client:
poller = await client.begin_training(formrecognizer_multipage_storage_container_sas_url_v2, use_training_labels=True)
model = await poller.result()
assert model.model_id
assert model.training_started_on
assert model.training_completed_on
assert model.errors == []
assert model.status == "ready"
for doc in model.training_documents:
assert doc.name
assert doc.page_count
assert doc.status
assert doc.errors == []
for sub in model.submodels:
assert sub.form_type
assert sub.accuracy is not None
for key, field in sub.fields.items():
assert field.accuracy is not None
assert field.name
@FormRecognizerPreparer()
@FormTrainingClientPreparer(client_kwargs={"api_version": "2.1"})
async def test_training_with_files_filter_v21(self, client, formrecognizer_storage_container_sas_url_v2):
async with client:
poller = await client.begin_training(training_files_url=formrecognizer_storage_container_sas_url_v2, use_training_labels=False, include_subfolders=True)
model = await poller.result()
assert len(model.training_documents) == 6
assert model.training_documents[-1].name == "subfolder/Form_6.jpg" # we traversed subfolders
poller = await client.begin_training(formrecognizer_storage_container_sas_url_v2, use_training_labels=False, prefix="subfolder", include_subfolders=True)
model = await poller.result()
assert len(model.training_documents) == 1
assert model.training_documents[0].name == "subfolder/Form_6.jpg" # we filtered for only subfolders
with pytest.raises(HttpResponseError) as e:
poller = await client.begin_training(training_files_url=formrecognizer_storage_container_sas_url_v2, use_training_labels=False, prefix="xxx")
model = await poller.result()
assert e.value.error.code
assert e.value.error.message
@FormRecognizerPreparer()
@FormTrainingClientPreparer(client_kwargs={"api_version": "2.0"})
async def test_training_with_model_name_bad_api_version(self, client):
with pytest.raises(ValueError) as excinfo:
async with client:
poller = await client.begin_training(training_files_url="url", use_training_labels=True, model_name="not supported in v2.0")
result = await poller.result()
assert "'model_name' is only available for API version V2_1 and up" in str(excinfo.value)
| 45.938776 | 169 | 0.689249 | 2,489 | 22,510 | 5.939333 | 0.089996 | 0.042414 | 0.045661 | 0.061016 | 0.850707 | 0.825002 | 0.817425 | 0.776027 | 0.770344 | 0.751065 | 0 | 0.006355 | 0.238072 | 22,510 | 489 | 170 | 46.03272 | 0.855577 | 0.020347 | 0 | 0.784689 | 0 | 0 | 0.02609 | 0 | 0 | 0 | 0 | 0 | 0.382775 | 1 | 0.009569 | false | 0 | 0.035885 | 0 | 0.047847 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
168f4c6394dbd16127226687120eb3e408f57ad3 | 5,818 | py | Python | test/grammar/join_test.py | smarty-timmi/TatSu | f09240959b51782cc3c38a9059b32f212077c802 | [
"BSD-2-Clause"
] | 1 | 2021-02-25T10:44:10.000Z | 2021-02-25T10:44:10.000Z | test/grammar/join_test.py | smarty-timmi/TatSu | f09240959b51782cc3c38a9059b32f212077c802 | [
"BSD-2-Clause"
] | null | null | null | test/grammar/join_test.py | smarty-timmi/TatSu | f09240959b51782cc3c38a9059b32f212077c802 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import generator_stop
import unittest
from tatsu.exceptions import FailedParse
from tatsu.tool import compile
from tatsu.codegen import codegen
from tatsu.util import trim
class JoinTests(unittest.TestCase):
def test_positive_join(self):
grammar = '''
start = ','%{'x' 'y'}+ ;
'''
grammar2 = '''
start = (','%{'x'}+|{}) ;
'''
grammar3 = '''
start = [','%{'x'}+] ;
'''
model = compile(grammar, "test")
codegen(model)
ast = model.parse("x y, x y", nameguard=False)
self.assertEqual([['x', 'y'], ',', ['x', 'y']], ast)
ast = model.parse("x y x y", nameguard=False)
self.assertEqual([['x', 'y']], ast)
try:
ast = model.parse("y x", nameguard=False)
self.fail('closure not positive')
except FailedParse:
pass
model = compile(grammar2, "test")
ast = model.parse("y x", nameguard=False)
self.assertEqual([], ast)
ast = model.parse("x", nameguard=False)
self.assertEqual(['x'], ast)
ast = model.parse("x,x", nameguard=False)
self.assertEqual(['x', ',', 'x'], ast)
model = compile(grammar3, "test")
ast = model.parse("y x", nameguard=False)
self.assertEqual(None, ast)
def test_normal_join(self):
grammar = '''
start = ','%{'x' 'y'} 'z' ;
'''
model = compile(grammar, "test")
codegen(model)
ast = model.parse("x y, x y z", nameguard=False)
self.assertEqual(([['x', 'y'], ',', ['x', 'y']], 'z'), ast)
ast = model.parse("x y z", nameguard=False)
self.assertEqual(([['x', 'y']], 'z'), ast)
ast = model.parse("z", nameguard=False)
self.assertEqual(([], 'z'), ast)
def test_group_join(self):
grammar = '''
start = ('a' 'b')%{'x'}+ ;
'''
model = compile(grammar, "test")
c = codegen(model)
import parser
parser.suite(c)
ast = model.parse("x a b x", nameguard=False)
self.assertEqual(['x', ['a', 'b'], 'x'], ast)
def test_positive_gather(self):
grammar = '''
start = ','.{'x' 'y'}+ ;
'''
grammar2 = '''
start = (','.{'x'}+|{}) ;
'''
grammar3 = '''
start = [','.{'x'}+] ;
'''
model = compile(grammar, "test")
codegen(model)
ast = model.parse("x y, x y", nameguard=False)
self.assertEqual([['x', 'y'], ['x', 'y']], ast)
ast = model.parse("x y x y", nameguard=False)
self.assertEqual([['x', 'y']], ast)
try:
ast = model.parse("y x", nameguard=False)
self.fail('closure not positive')
except FailedParse:
pass
model = compile(grammar2, "test")
ast = model.parse("y x", nameguard=False)
self.assertEqual([], ast)
ast = model.parse("x", nameguard=False)
self.assertEqual(['x'], ast)
ast = model.parse("x,x", nameguard=False)
self.assertEqual(['x', 'x'], ast)
model = compile(grammar3, "test")
ast = model.parse("y x", nameguard=False)
self.assertEqual(None, ast)
def test_normal_gather(self):
grammar = '''
start = ','.{'x' 'y'} 'z' ;
'''
model = compile(grammar, "test")
codegen(model)
ast = model.parse("x y, x y z", nameguard=False)
self.assertEqual(([['x', 'y'], ['x', 'y']], 'z'), ast)
ast = model.parse("x y z", nameguard=False)
self.assertEqual(([['x', 'y']], 'z'), ast)
ast = model.parse("z", nameguard=False)
self.assertEqual(([], 'z'), ast)
def test_group_gather(self):
grammar = '''
start = ('a' 'b').{'x'}+ ;
'''
model = compile(grammar, "test")
c = codegen(model)
import parser
parser.suite(c)
ast = model.parse("x a b x", nameguard=False)
self.assertEqual(['x', 'x'], ast)
def test_left_join(self):
grammar = r'''
start
=
(op)<{number}+ $
;
op
=
'+' | '-'
;
number
=
/\d+/
;
'''
text = '1 + 2 - 3 + 4'
model = compile(grammar, "test")
self.assertEqual(trim(grammar).strip(), str(model).strip())
codegen(model)
ast = model.parse(text)
self.assertEqual(
(
'+',
(
'-',
(
'+',
'1',
'2'
),
'3'
),
'4'
),
ast
)
def test_right_join(self):
grammar = r'''
start
=
(op)>{number}+ $
;
op
=
'+' | '-'
;
number
=
/\d+/
;
'''
text = '1 + 2 - 3 + 4'
model = compile(grammar, "test")
self.assertEqual(trim(grammar).strip(), str(model).strip())
codegen(model)
ast = model.parse(text)
self.assertEqual(
(
'+',
'1',
(
'-',
'2',
(
'+',
'3',
'4'
)
)
),
ast
)
| 25.186147 | 67 | 0.406841 | 546 | 5,818 | 4.296703 | 0.120879 | 0.025575 | 0.132992 | 0.247229 | 0.886616 | 0.886616 | 0.87809 | 0.87809 | 0.876385 | 0.876385 | 0 | 0.007432 | 0.421794 | 5,818 | 230 | 68 | 25.295652 | 0.689952 | 0.003609 | 0 | 0.681081 | 0 | 0 | 0.215876 | 0 | 0 | 0 | 0 | 0 | 0.12973 | 1 | 0.043243 | false | 0.010811 | 0.043243 | 0 | 0.091892 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
bc3ec6e1f45ecfe1a15a24a7bf1996ca0723d750 | 18,894 | py | Python | graphicslib/FontArial28.py | rowb1/oled-python-library | 0a5382338b805d9ca47d081403f743fd234ffb0d | [
"MIT"
] | 5 | 2019-06-30T11:55:56.000Z | 2021-05-18T22:08:34.000Z | graphicslib/FontArial28.py | rowb1/oled-python-library | 0a5382338b805d9ca47d081403f743fd234ffb0d | [
"MIT"
] | 1 | 2021-07-27T13:36:37.000Z | 2021-07-30T11:00:10.000Z | graphicslib/FontArial28.py | rowb1/oled-python-library | 0a5382338b805d9ca47d081403f743fd234ffb0d | [
"MIT"
] | 2 | 2018-06-10T12:02:56.000Z | 2020-03-17T09:57:16.000Z | # Arial 28 support (actually 24 high)
# see: https://medium.com/home-wireless/convert-truetype-to-bitmap-for-use-by-c-9dd8196e5c94
Arial28Infos=[[ 33, 1054, 2, 3, 8],
[ 36, 893, 11, 1, 14],
[ 37, 93, 19, 1, 22],
[ 40, 1021, 6, 2, 8],
[ 41, 1014, 6, 0, 8],
[ 42, 973, 8, 1, 10],
[ 43, 657, 12, 1, 15],
[ 44, 1048, 2, 2, 7],
[ 45, 1035, 6, 1, 8],
[ 46, 1060, 2, 2, 7],
[ 48, 631, 12, 1, 14],
[ 49, 990, 7, 2, 14],
[ 50, 618, 12, 1, 14],
[ 51, 605, 12, 1, 14],
[ 52, 592, 12, 1, 14],
[ 53, 579, 12, 1, 14],
[ 54, 735, 12, 1, 14],
[ 55, 709, 12, 1, 14],
[ 56, 683, 12, 1, 14],
[ 57, 722, 12, 1, 14],
[ 58, 1057, 2, 2, 7],
[ 63, 566, 12, 1, 14],
[ 64, 26, 23, 1, 25],
[ 65, 414, 15, 1, 17],
[ 66, 446, 14, 2, 17],
[ 67, 283, 16, 1, 18],
[ 68, 430, 15, 2, 18],
[ 69, 461, 14, 2, 17],
[ 70, 696, 12, 2, 15],
[ 71, 317, 16, 1, 19],
[ 72, 476, 14, 2, 18],
[ 73, 1051, 2, 2, 6],
[ 74, 940, 10, 1, 13],
[ 75, 382, 15, 2, 17],
[ 76, 773, 11, 2, 14],
[ 77, 265, 17, 2, 21],
[ 78, 551, 14, 2, 18],
[ 79, 247, 17, 1, 19],
[ 80, 506, 14, 2, 17],
[ 81, 211, 17, 1, 19],
[ 82, 366, 15, 2, 18],
[ 83, 398, 15, 1, 17],
[ 84, 491, 14, 0, 14],
[ 85, 536, 14, 2, 18],
[ 86, 350, 15, 1, 17],
[ 87, 0, 25, 0, 26],
[ 88, 229, 17, 0, 17],
[ 89, 300, 16, 0, 16],
[ 90, 521, 14, 0, 15],
[ 95, 334, 15, 0, 14],
[ 97, 670, 12, 1, 14],
[ 98, 761, 11, 2, 14],
[ 99, 833, 11, 1, 13],
[ 100, 881, 11, 1, 14],
[ 101, 644, 12, 1, 14],
[ 102, 998, 7, 0, 7],
[ 103, 905, 11, 1, 14],
[ 104, 962, 10, 2, 14],
[ 105, 1063, 2, 2, 6],
[ 106, 1042, 5, 0, 6],
[ 107, 917, 11, 2, 13],
[ 108, 1066, 2, 2, 6],
[ 109, 173, 18, 2, 22],
[ 110, 929, 10, 2, 14],
[ 111, 748, 12, 1, 14],
[ 112, 797, 11, 2, 14],
[ 113, 809, 11, 1, 14],
[ 114, 1028, 6, 2, 8],
[ 115, 821, 11, 1, 13],
[ 116, 982, 7, 0, 7],
[ 117, 951, 10, 2, 14],
[ 118, 785, 11, 0, 11],
[ 119, 133, 19, 0, 19],
[ 120, 845, 11, 0, 11],
[ 121, 857, 11, 1, 12],
[ 122, 869, 11, 0, 12],
[ 153, 50, 21, 3, 25],
[ 169, 192, 18, 0, 18],
[ 186, 1006, 7, 1, 9],
[ 188, 153, 19, 1, 21],
[ 189, 113, 19, 1, 21],
[ 190, 72, 20, 0, 21],
[ 0,0,0,0,0]]
# Image Size: 134bytes x 24lines
Arial28Pixels=[0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0xc0,0x1c,
0x01,0x80,0x3f,0x80,0x3f,0xdc,0x0e,0x7c,
0x00,0xe1,0xe0,0x30,0x0c,0x00,0xc0,0x00,
0x00,0x0c,0x00,0xc0,0x00,0x00,0x03,0xf0,
0x00,0x7c,0x03,0x80,0x38,0x07,0xc0,0x60,
0x00,0xc0,0x7c,0x0c,0x00,0x70,0x1f,0x00,
0x00,0x03,0x00,0x1b,0xff,0x83,0x00,0x70,
0x1f,0x80,0x0e,0x03,0xff,0x03,0xff,0x07,
0xff,0xec,0x00,0xdf,0xff,0xbf,0xf8,0x3f,
0xfe,0xc0,0x0d,0x80,0x18,0x7e,0x07,0xfc,
0x00,0xc0,0xf8,0x07,0xe0,0x3e,0x00,0x00,
0x00,0x00,0x00,0x01,0xe0,0xff,0xf7,0xff,
0x87,0xc0,0x1f,0x00,0x00,0x60,0x06,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x30,0xf8,0x00,
0x06,0x00,0x00,0x00,0x0c,0x00,0x30,0x00,
0xc0,0x00,0x18,0x78,0xe3,0x00,0x60,0x00,
0x06,0x1b,0x01,0xb0,0xc0,0x1c,0x03,0x80,
0xff,0xe0,0x3f,0xdc,0x1e,0xc6,0x01,0xc3,
0xf0,0x60,0x3c,0x01,0x80,0x00,0x00,0x3c,
0x01,0x80,0x00,0x00,0x0f,0xfc,0x01,0xff,
0x01,0xc0,0x70,0x1f,0xf0,0x78,0x03,0xc1,
0xff,0x06,0x00,0xe0,0xff,0xc0,0x00,0x03,
0x00,0x3b,0xff,0xe3,0x00,0xe0,0x7f,0xe0,
0x0e,0x03,0xff,0xc3,0xff,0x87,0xff,0xec,
0x00,0xdf,0xff,0xbf,0xfc,0x3f,0xfe,0xc0,
0x0d,0xc0,0x18,0xff,0x07,0xfc,0x01,0xc1,
0xfe,0x0f,0xf0,0x7f,0x80,0x00,0x00,0x00,
0x00,0x07,0xf8,0xff,0xf7,0xff,0x8f,0xf0,
0x3f,0x80,0x00,0x60,0x06,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x33,0xfe,0x00,0x06,0x00,
0x00,0x00,0x0c,0x00,0x30,0x00,0xc0,0xc0,
0x18,0xf9,0xf1,0x80,0xc0,0x00,0x06,0x1b,
0x01,0xb0,0x60,0x3e,0x03,0x03,0xe0,0x78,
0x06,0x1e,0x1e,0x06,0x01,0x87,0x30,0x60,
0x7c,0x03,0x80,0x00,0x00,0x7c,0x03,0x80,
0x00,0x00,0x1e,0x1e,0x07,0x83,0xc0,0xe0,
0xe0,0x78,0x3c,0x78,0x03,0xc7,0x81,0xc3,
0x00,0xc1,0xe0,0xe0,0x00,0x01,0x80,0x33,
0x00,0xe3,0x01,0xc0,0xe0,0x70,0x1f,0x03,
0x00,0xe3,0x01,0xc6,0x00,0x0c,0x00,0xc0,
0x60,0x30,0x0e,0x00,0x0c,0xc0,0x0d,0xe0,
0x19,0xc3,0x8e,0x00,0x03,0xc3,0x86,0x1c,
0x38,0xe1,0xc0,0x00,0x00,0x00,0x00,0x0e,
0x18,0xc0,0x00,0x03,0x1c,0x38,0x61,0xc0,
0x00,0x60,0x06,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x37,0x26,0x00,0x06,0x00,0x00,0x00,
0x0c,0x00,0x30,0x04,0xc0,0xc0,0x78,0xc3,
0xb9,0x81,0x80,0x00,0x00,0x1b,0x00,0x30,
0x60,0x36,0x03,0x07,0x00,0x1c,0x06,0x1e,
0x1e,0x06,0x03,0x06,0x18,0xc0,0x4c,0x03,
0x00,0x00,0x00,0x4c,0x03,0x00,0x00,0x00,
0x38,0x07,0x06,0x00,0xc0,0x60,0xc0,0x60,
0x0c,0x7c,0x07,0xce,0x00,0xc3,0x81,0xc1,
0x80,0x30,0x00,0x01,0x80,0x33,0x00,0x73,
0x03,0x81,0x80,0x38,0x1b,0x03,0x00,0x73,
0x00,0xe6,0x00,0x0c,0x00,0xc0,0x60,0x30,
0x07,0x00,0x1c,0xc0,0x0d,0xe0,0x1b,0x81,
0xcc,0x00,0x03,0xc7,0x03,0x30,0x1c,0xc0,
0xc0,0x00,0x03,0x00,0x00,0x0c,0x0c,0xc0,
0x00,0x06,0x38,0x18,0xc0,0xe0,0x00,0x60,
0x06,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x36,
0x23,0x00,0x06,0x00,0x00,0x00,0x0c,0x00,
0x30,0x07,0xf8,0xc0,0xf8,0xc3,0x18,0xc1,
0x80,0x00,0x00,0x1b,0x00,0x30,0x60,0x36,
0x03,0x0e,0x00,0x0e,0x06,0x1b,0x36,0x1c,
0x07,0x06,0x18,0xc0,0x0c,0x06,0x00,0x00,
0x00,0x0c,0x06,0x00,0x00,0x00,0x71,0xe3,
0x8c,0x00,0x60,0x71,0xc0,0xc0,0x06,0x6c,
0x06,0xcc,0x00,0xe1,0x83,0x83,0x00,0x30,
0x00,0x01,0xc0,0x63,0x00,0x33,0x07,0x01,
0x80,0x18,0x1b,0x03,0x00,0x33,0x00,0x66,
0x00,0x0c,0x00,0xc0,0x60,0x30,0x03,0x00,
0x38,0xc0,0x0d,0xb0,0x1b,0x00,0xcc,0x00,
0x06,0xc6,0x03,0x30,0x0d,0x80,0x60,0x00,
0x03,0x00,0x00,0x0c,0x0c,0xc0,0x00,0x06,
0x30,0x08,0xc0,0x60,0x00,0x60,0x06,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x36,0x20,0x00,
0x06,0x00,0x00,0x00,0x0c,0x00,0x30,0x01,
0xe0,0xc3,0xd8,0xc3,0x18,0xc3,0x00,0x00,
0x00,0x1b,0x00,0x30,0x30,0x76,0x06,0x0c,
0x1e,0x66,0x06,0x1b,0x36,0x06,0x0e,0x06,
0x19,0x80,0x0c,0x0c,0x06,0x02,0x03,0x0c,
0x0c,0x06,0x78,0x78,0x67,0xf1,0x8c,0x00,
0x60,0x3b,0x80,0xc0,0x06,0x6c,0x06,0xdc,
0x00,0x40,0xc3,0x03,0x00,0x10,0x00,0x00,
0xc0,0x63,0x00,0x33,0x0e,0x01,0x80,0x00,
0x31,0x83,0x00,0x33,0x00,0x66,0x00,0x0c,
0x00,0xc0,0x60,0x30,0x03,0x00,0x70,0xc0,
0x0d,0x98,0x18,0x00,0xcc,0x00,0x0e,0xc0,
0x03,0x00,0x0d,0x80,0x60,0xf0,0x03,0x00,
0x7e,0x0c,0x0c,0xc0,0x00,0x0c,0x30,0x0d,
0x80,0x00,0xf0,0x67,0x86,0x00,0x60,0x36,
0x78,0x0f,0x31,0xf8,0x0f,0x86,0x03,0x60,
0x33,0xff,0x0f,0x36,0x20,0x0f,0x36,0x0e,
0x67,0x80,0x0d,0x81,0xb3,0xc1,0xe3,0xfb,
0x9b,0xfb,0x18,0x63,0x0d,0xc0,0x06,0x1b,
0x61,0xb0,0x30,0x63,0x06,0x18,0x7f,0x66,
0x06,0x19,0x26,0x06,0x0c,0x06,0x19,0x80,
0x0c,0x1c,0x06,0x07,0x03,0x0c,0x1c,0x06,
0xfd,0xfc,0xce,0x39,0xd8,0x00,0x30,0x1f,
0x01,0x80,0x03,0x6e,0x0c,0xd8,0x00,0x00,
0xe7,0x06,0x00,0x00,0x00,0x00,0xc0,0x63,
0x00,0x73,0x1c,0x01,0xc0,0x00,0x31,0x83,
0x00,0x1b,0x00,0x66,0x00,0x0c,0x00,0xc0,
0x60,0x30,0x03,0x00,0x60,0xc0,0x0d,0x98,
0x18,0x01,0xcd,0xe0,0x0c,0xc0,0x06,0x00,
0x0d,0x80,0x63,0xfc,0x03,0x01,0xff,0x0e,
0x18,0xc0,0x00,0x0c,0x30,0x0d,0x9f,0x03,
0xfc,0x6f,0xc6,0x00,0x60,0x37,0xfc,0x1f,
0xb3,0xfc,0x1f,0xe3,0x06,0x60,0x23,0xff,
0x1f,0xb7,0x20,0x1f,0xf6,0x1c,0x6f,0xc0,
0x0d,0x81,0xb7,0xe3,0x33,0xf8,0x1b,0xfb,
0x38,0x63,0x0f,0xc0,0x06,0x1b,0x61,0xb0,
0x30,0x63,0x06,0x18,0xe3,0xc3,0x06,0x19,
0xe6,0xce,0x18,0x07,0x3b,0x00,0x0c,0x18,
0x03,0x07,0x06,0x0c,0x18,0x07,0x8f,0x8e,
0xcc,0x00,0xd8,0x00,0x30,0x0e,0x01,0x80,
0x03,0x66,0x0c,0xd8,0x00,0x00,0x66,0x06,
0x00,0x00,0x00,0x00,0x60,0xc3,0x00,0xe3,
0x38,0x00,0xfc,0x00,0x71,0x83,0x00,0x1b,
0x00,0xc6,0x00,0x0c,0x00,0xc0,0x60,0x30,
0x07,0x00,0xe0,0xc0,0x0d,0x8c,0x18,0x03,
0x9f,0xf8,0x18,0xc0,0x7c,0x00,0x19,0x80,
0x67,0x0e,0x03,0x03,0x83,0x87,0xf0,0xc0,
0x00,0x18,0x30,0x0d,0xbf,0x87,0x0e,0x78,
0xe6,0x00,0x30,0x67,0x8e,0x38,0xf7,0x0e,
0x38,0x61,0x8c,0x30,0x60,0x06,0x38,0xf3,
0xe0,0x38,0xf6,0x38,0x78,0xe0,0x0d,0x81,
0xbc,0x73,0x20,0xc0,0x18,0xc1,0xf0,0x66,
0x0e,0x00,0x06,0x1b,0x01,0xb0,0x30,0x63,
0x0e,0x39,0xc1,0xc3,0x06,0x19,0xe6,0x7c,
0x30,0x03,0xf3,0x3c,0x0c,0x30,0x03,0x0f,
0x06,0x0c,0x30,0x07,0x07,0x06,0xcc,0x00,
0xd8,0x00,0x30,0x0e,0x01,0x80,0x03,0x66,
0x0c,0xd8,0x00,0x00,0x3c,0x06,0x00,0x00,
0x00,0x00,0x60,0xc3,0xff,0xe3,0x7c,0x00,
0x7f,0xc0,0x60,0xc3,0x00,0x1b,0xff,0x87,
0xff,0xcf,0xff,0xc0,0x60,0x30,0x0e,0x01,
0xc0,0xc0,0x0d,0x86,0x18,0x07,0x1c,0x1c,
0x38,0xc0,0x7e,0x00,0x19,0x80,0x66,0x06,
0x7f,0xfb,0x01,0x87,0xf8,0xff,0xe0,0x10,
0x38,0x1d,0xe1,0xce,0x07,0x70,0x66,0x00,
0x30,0x67,0x06,0x70,0x76,0x00,0x70,0x31,
0x8c,0x30,0x60,0x0c,0x70,0x71,0xf8,0x70,
0x76,0x70,0x70,0x60,0x0d,0x81,0xb8,0x30,
0x00,0xc0,0x18,0xc0,0xe0,0x36,0x0c,0x00,
0x06,0x1b,0x01,0xb0,0x18,0xc1,0x8c,0x31,
0x80,0xc3,0x06,0x18,0xc6,0x00,0x70,0x61,
0xe6,0x7e,0x00,0x63,0xe3,0x0d,0x86,0x00,
0x60,0x66,0x06,0x06,0xcc,0x00,0xd8,0x00,
0x30,0x0e,0x01,0x80,0x03,0x63,0x18,0xd8,
0x00,0x00,0x3c,0x06,0x03,0xf8,0x00,0x00,
0x60,0xc3,0xff,0x83,0xfc,0x00,0x0f,0xf0,
0x60,0xc3,0x00,0x1b,0xff,0xc7,0xff,0xcf,
0xff,0xc0,0x60,0x3f,0xfc,0x03,0x80,0xc0,
0x0d,0x86,0x18,0x0e,0x00,0x0e,0x30,0xc0,
0x07,0x00,0x31,0x80,0x6c,0x03,0x7f,0xf8,
0x01,0x8e,0x1c,0xff,0xe0,0x30,0x18,0x3d,
0xc0,0xec,0x03,0x60,0x36,0x00,0x30,0x66,
0x03,0x60,0x37,0x00,0x60,0x00,0xd8,0x30,
0xc0,0x18,0x60,0x30,0x3e,0x60,0x36,0xe0,
0x60,0x60,0x0d,0x81,0xb0,0x30,0x00,0xc0,
0x18,0xc0,0x00,0x36,0x0c,0x00,0x06,0x1b,
0x01,0xb0,0x18,0xc1,0x8c,0x33,0x00,0xc3,
0x00,0x00,0x00,0x00,0x60,0xe0,0x06,0xe6,
0x00,0xe6,0x31,0x8d,0x8c,0x00,0xe0,0xe6,
0x06,0x06,0xcc,0x00,0xd8,0x00,0x30,0x1b,
0x01,0x80,0x03,0x63,0x18,0xd8,0x00,0x00,
0x18,0x06,0x03,0xf8,0x00,0x00,0x31,0x83,
0x06,0x03,0xce,0x00,0x00,0x70,0xff,0xe3,
0x00,0x1b,0x00,0xe6,0x00,0x0c,0x00,0xc0,
0x60,0x3f,0xf8,0x03,0x00,0xc0,0x0d,0x83,
0x18,0x0c,0x00,0x06,0x60,0xc0,0x03,0x80,
0x61,0x80,0x6f,0xff,0x03,0x00,0x0f,0x9c,
0x0e,0xc0,0x00,0x30,0x0f,0xed,0x80,0x6c,
0x03,0x60,0x36,0x00,0x18,0xc6,0x03,0x60,
0x37,0xf0,0x60,0x00,0x70,0x18,0xc0,0x38,
0x60,0x30,0x26,0x60,0x37,0xc0,0x60,0x60,
0x0d,0x81,0xb0,0x30,0x00,0xc0,0x18,0xc0,
0x00,0x36,0x0c,0x00,0x06,0x1b,0x01,0xb0,
0x18,0xc1,0x8c,0x33,0x00,0xc3,0x00,0x00,
0x00,0x00,0xc1,0xe0,0x0c,0xc3,0x00,0xc0,
0x31,0x98,0xcc,0x00,0xc1,0xe6,0x06,0x06,
0xce,0x39,0xd8,0x00,0x30,0x3b,0x81,0x80,
0x03,0x63,0x18,0xd8,0x00,0x00,0x18,0x06,
0x00,0x18,0x00,0x00,0x31,0x83,0x07,0x03,
0x87,0x00,0x00,0x18,0xff,0xe3,0x00,0x1b,
0x00,0x76,0x00,0x0c,0x00,0xc0,0x60,0x30,
0x00,0x07,0x00,0xc0,0x0d,0x81,0x98,0x18,
0x00,0x06,0xe0,0xc0,0x01,0x80,0xc1,0x80,
0x6f,0xff,0x03,0x00,0xff,0x98,0x06,0xc0,
0x00,0x60,0x07,0xcd,0x80,0x6c,0x03,0x60,
0x36,0x00,0x18,0xc6,0x03,0x60,0x31,0xfe,
0x60,0x00,0x70,0x18,0xc0,0x70,0x60,0x30,
0x23,0x60,0x37,0xe0,0x60,0x60,0x0d,0x81,
0xb0,0x30,0x00,0xc0,0x18,0xc0,0x00,0x36,
0x0c,0x1f,0x86,0x1b,0x01,0xb0,0x0d,0x80,
0xd8,0x33,0x00,0x86,0x00,0x00,0x00,0x01,
0x81,0xe0,0x0c,0xc3,0x01,0x80,0x70,0xd8,
0xd8,0x01,0x81,0xe6,0x06,0x06,0x67,0xf1,
0x8c,0x00,0x60,0x71,0xc1,0xc0,0x06,0x61,
0x30,0xdc,0x00,0x60,0x18,0x07,0x00,0x18,
0x00,0x00,0x33,0x83,0x03,0x83,0x03,0x83,
0x00,0x18,0xc0,0x63,0x00,0x33,0x00,0x36,
0x00,0x0c,0x00,0xc0,0x60,0x30,0x00,0x0e,
0x00,0xc0,0x0d,0x81,0x98,0x18,0x00,0x06,
0xff,0xf0,0x01,0x83,0x81,0x80,0x6c,0x00,
0x03,0x01,0xf1,0x98,0x06,0xc0,0x00,0x60,
0x00,0x0d,0x80,0x6c,0x03,0x60,0x36,0x00,
0x0d,0x86,0x03,0x60,0x30,0x3f,0x60,0x00,
0x70,0x19,0x80,0xe0,0x60,0x30,0x23,0x60,
0x36,0x70,0x60,0x6c,0x0d,0x81,0xb0,0x30,
0x00,0xc0,0x18,0xc0,0x00,0x36,0x0c,0x1f,
0x86,0x1b,0x01,0xb0,0x0d,0x80,0xd8,0x33,
0x01,0x86,0x00,0x00,0x00,0x03,0x83,0x60,
0x18,0xc3,0x03,0x00,0x60,0xd8,0xd8,0x03,
0x03,0x66,0x06,0x06,0x73,0xe3,0x8c,0x0c,
0x60,0xe0,0xc0,0xc0,0x06,0x61,0xb0,0xcc,
0x00,0xe0,0x18,0x03,0x00,0x18,0x00,0x00,
0x1b,0x03,0x01,0xc3,0x03,0x83,0x00,0x19,
0x80,0x33,0x00,0x33,0x00,0x36,0x00,0x0c,
0x00,0xc0,0x60,0x30,0x00,0x1c,0x00,0xc0,
0x0d,0x80,0xd8,0x18,0x18,0x06,0xff,0xf6,
0x01,0x87,0x01,0x80,0x4c,0x00,0x03,0x03,
0x01,0x98,0x06,0xc0,0x00,0x60,0x30,0x19,
0x80,0x6c,0x03,0x60,0x36,0x00,0x0d,0x86,
0x03,0x60,0x30,0x07,0x60,0x30,0xf8,0x0d,
0x81,0xc0,0x60,0x36,0x23,0x60,0x36,0x38,
0x60,0x6c,0x0d,0x81,0xb0,0x30,0x00,0xc0,
0x18,0xc0,0x00,0x36,0x0c,0x00,0x06,0x1b,
0x01,0xb0,0x0d,0x80,0xd8,0x33,0x03,0x8c,
0x00,0x00,0x00,0x03,0x06,0x60,0x18,0xc3,
0x07,0x00,0xe0,0xf0,0x78,0x07,0x06,0x66,
0x06,0x06,0x38,0x07,0x0e,0x0f,0xe0,0xc0,
0x60,0xe0,0x0c,0x61,0xf0,0xce,0x01,0xc0,
0x18,0x03,0x80,0x18,0x00,0x00,0x1b,0x03,
0x00,0xe3,0x01,0xc1,0x80,0x39,0x80,0x33,
0x00,0x73,0x00,0x36,0x00,0x0c,0x00,0xc0,
0x60,0x30,0x00,0x18,0x00,0x60,0x19,0x80,
0x78,0x00,0x18,0x0c,0x00,0xc6,0x03,0x8c,
0x00,0xc0,0xce,0x03,0x03,0x03,0x03,0x98,
0x0e,0xc0,0x00,0xc0,0x30,0x18,0xc0,0xce,
0x06,0x70,0x66,0x00,0x0f,0x87,0x06,0x70,
0x76,0x03,0x70,0x71,0xdc,0x0f,0x01,0x80,
0x70,0x76,0x27,0x70,0x76,0x18,0x60,0x6c,
0x0d,0x83,0xb0,0x30,0x00,0xc0,0x18,0xc0,
0x00,0x36,0x0c,0x00,0x06,0x18,0x01,0xb0,
0x0f,0x80,0xf0,0x31,0x87,0x9c,0x00,0x00,
0x00,0x06,0x07,0xf0,0x30,0xe7,0x06,0x01,
0x80,0x70,0x70,0x06,0x07,0xf6,0x06,0x06,
0x1c,0x0e,0x07,0x87,0xc1,0xc0,0x70,0x78,
0x3c,0x60,0xe0,0xc7,0x03,0x80,0x18,0x01,
0xe0,0x78,0x00,0x00,0x1e,0x03,0x00,0xe3,
0x00,0xe1,0xe0,0x71,0x80,0x33,0x00,0xe3,
0x00,0xe6,0x00,0x0c,0x00,0xc0,0x60,0x30,
0x00,0x30,0x00,0x70,0x39,0x80,0x78,0x00,
0x0c,0x1c,0x00,0xc3,0x07,0x18,0x00,0xe1,
0xc7,0x06,0x00,0x03,0x87,0x8c,0x1c,0xc0,
0x00,0xc0,0x18,0x30,0xe1,0xc7,0x0e,0x78,
0xe6,0x00,0x07,0x07,0x8e,0x38,0xf7,0x07,
0x38,0x61,0x8c,0x0f,0x03,0x00,0x38,0xf3,
0x2e,0x38,0xf6,0x0c,0x60,0x6e,0x19,0xc7,
0xb0,0x30,0x00,0xc0,0x18,0xc0,0x00,0x66,
0x0c,0x00,0x06,0x18,0x01,0xb0,0x07,0x00,
0x70,0x19,0xff,0xf8,0x00,0x00,0x00,0x0c,
0x00,0x60,0x30,0x7e,0x0c,0x03,0x00,0x70,
0x70,0x0c,0x00,0x66,0x06,0x06,0x0f,0xfc,
0x03,0xff,0xc3,0x80,0x38,0x3f,0xf8,0x60,
0xe0,0xc3,0xff,0x00,0x18,0x00,0xff,0xe0,
0x00,0x00,0x0e,0x03,0x00,0x73,0x00,0x70,
0xff,0xe3,0x00,0x1b,0xff,0xc3,0xff,0xe7,
0xff,0xec,0x00,0xc0,0x60,0x30,0x00,0x7f,
0xfe,0x3f,0xf1,0x80,0x38,0x18,0x07,0xf8,
0x00,0xc1,0xfe,0x3f,0xfc,0x7f,0x83,0xfc,
0x00,0x01,0xfd,0x87,0xf8,0xc0,0x00,0xc0,
0x1f,0xe0,0x7f,0x83,0xfc,0x7f,0xc7,0xff,
0x07,0x07,0xfc,0x1f,0xf3,0xfe,0x1f,0xc3,
0x06,0x07,0x07,0xff,0x1f,0xf3,0xfe,0x1f,
0xf6,0x0e,0x60,0x67,0xf8,0xff,0xb0,0x30,
0x00,0xf8,0x18,0xc0,0x00,0x63,0x0c,0x00,
0x06,0xdb,0x6d,0xb0,0x07,0x00,0x70,0x1c,
0x79,0xe1,0x80,0x00,0x00,0x1c,0x00,0x60,
0x60,0x3c,0x18,0x07,0xf0,0x20,0x20,0x18,
0x00,0x66,0x06,0x06,0x03,0xf0,0x00,0xfe,
0xf7,0x00,0x1c,0x0f,0xe0,0x60,0xe0,0xc0,
0xfe,0x00,0x18,0x00,0x3f,0x80,0x00,0x00,
0x0e,0x03,0x00,0x3b,0x00,0x38,0x3f,0x83,
0x00,0x1b,0xff,0x03,0xff,0x87,0xff,0xec,
0x00,0xc0,0x60,0x30,0x00,0x7f,0xfe,0x0f,
0xc1,0x80,0x18,0x18,0x03,0xe0,0x00,0xc0,
0xfc,0x3f,0xfc,0x3f,0x01,0xf8,0x00,0x00,
0xf8,0xc3,0xf0,0xc0,0x00,0xc0,0x07,0xc0,
0x1f,0x01,0xf8,0x67,0x87,0xff,0x02,0x06,
0x78,0x0f,0x31,0xf8,0x0f,0x86,0x07,0x06,
0x07,0xff,0x0f,0x30,0xf8,0x0f,0x36,0x07,
0x60,0x63,0xe0,0x79,0xb0,0x30,0x00,0x78,
0x18,0xc0,0x00,0x63,0x0c,0x00,0x06,0xdb,
0x6d,0xb0,0x00,0x00,0x00,0x0e,0x00,0x03,
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0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x06,0x00,0x00,
0x30,0x00,0x00,0x00,0x00,0x06,0x00,0x00,
0x00,0x00,0x20,0x00,0x30,0x00,0x00,0x00,
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0x00,0xc3,0x00,0x00,0x06,0x40,0x00,0x00,
0x00,0x00,0x00,0x07,0x00,0x0e,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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0x00,0x00,0x00,0x06,0x00,0x00,0x30,0x00,
0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x00,
0x20,0x60,0x70,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xc1,
0x80,0x00,0x06,0x40,0x00,0x00,0x00,0x00,
0x00,0x03,0xe0,0x3c,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x06,0x00,0x00,0x30,0x00,0x00,0x00,
0x00,0x0c,0x00,0x00,0x00,0x00,0x00,0x70,
0xe0,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x01,0x81,0x80,0x00,
0x0e,0xc0,0x00,0x00,0x00,0x00,0x00,0x01,
0xff,0xf0,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x03,0xff,0xf8,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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0x00,0x00,0x30,0x00,0x00,0x00,0x00,0x3c,
0x00,0x00,0x00,0x00,0x00,0x3f,0xc0,0x00,
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0x00,0x00,0x01,0x80,0xc0,0x00,0x3c,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x3f,0xc0,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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0x00,0x00,0x00,0x03,0xff,0xf8,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x06,0x00,0x00,
0x30,0x00,0x00,0x00,0x00,0x38,0x00,0x00,
0x00,0x00,0x00,0x1f,0x80,0x00,0x00,0x00,
0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
0x03,0x00,0x60,0x00,0x38,0x00,0x00,0x00]
class FontArial28(object) :
def __init__(self) :
global Arial28Infos
global Arial28Pixels
self.info = Arial28Infos
self.data = Arial28Pixels
self.height = 24
self.width = 134
| 37.63745 | 93 | 0.740076 | 3,681 | 18,894 | 3.797609 | 0.090193 | 0.484155 | 0.642964 | 0.789756 | 0.493025 | 0.412619 | 0.392589 | 0.375134 | 0.348809 | 0.320481 | 0 | 0.530022 | 0.056843 | 18,894 | 501 | 94 | 37.712575 | 0.254433 | 0.008362 | 0 | 0.158215 | 0 | 0 | 0 | 0 | 0 | 1 | 0.686776 | 0 | 0 | 1 | 0.002028 | false | 0 | 0 | 0 | 0.004057 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
bc4cad8ad815d2b22e1b93251a008bf538e5708d | 20,118 | py | Python | Dev/parallel/models.py | leyiweb/OCGAN | 326d01043bbc3b5219625af9d38c30d6a3be5a69 | [
"Apache-2.0"
] | 58 | 2019-03-27T09:17:55.000Z | 2022-02-28T17:09:35.000Z | Dev/parallel/models.py | leyiweb/OCGAN | 326d01043bbc3b5219625af9d38c30d6a3be5a69 | [
"Apache-2.0"
] | 9 | 2019-04-16T12:23:36.000Z | 2021-01-01T03:54:58.000Z | Dev/parallel/models.py | leyiweb/OCGAN | 326d01043bbc3b5219625af9d38c30d6a3be5a69 | [
"Apache-2.0"
] | 25 | 2019-07-17T11:59:08.000Z | 2021-05-05T11:34:37.000Z | import numpy as np
import mxnet as mx
from mxnet import gluon
from mxnet import ndarray as nd
from mxnet.gluon import nn, utils
from mxnet.gluon.nn import Dense, Activation, Conv2D, Conv2DTranspose, \
BatchNorm, LeakyReLU, Flatten, HybridSequential, HybridBlock, Dropout
# Define Unet generator skip block
class UnetSkipUnit(HybridBlock):
def __init__(self, inner_channels, outer_channels, inner_block=None, innermost=False, outermost=False,
use_dropout=False, use_bias=False):
super(UnetSkipUnit, self).__init__()
with self.name_scope():
self.outermost = outermost
en_conv = Conv2D(channels=inner_channels, kernel_size=5, strides=2, padding=0,
in_channels=outer_channels, use_bias=use_bias)
en_relu = LeakyReLU(alpha=0.2)
en_norm = BatchNorm(momentum=0.1, in_channels=inner_channels)
de_relu = Activation(activation='relu')
de_norm = BatchNorm(momentum=0.1, in_channels=outer_channels)
if innermost:
de_conv = Conv2DTranspose(channels=outer_channels, kernel_size=5, strides=2, padding=0,
in_channels=inner_channels, use_bias=use_bias)
encoder = [en_relu, en_conv]
decoder = [de_relu, de_conv, de_norm]
model = encoder + decoder
elif outermost:
de_conv = Conv2DTranspose(channels=outer_channels, kernel_size=5, strides=2, padding=0,
in_channels=inner_channels)
encoder = [en_conv]
decoder = [de_relu, de_conv, Activation(activation='tanh')]
model = encoder + [inner_block] + decoder
else:
de_conv = Conv2DTranspose(channels=outer_channels, kernel_size=5, strides=2, padding=0,
in_channels=inner_channels, use_bias=use_bias)
encoder = [en_relu, en_conv, en_norm]
decoder = [de_relu, de_conv, de_norm]
model = encoder + [inner_block] + decoder
if use_dropout:
model += [Dropout(rate=0.5)]
self.model = HybridSequential()
with self.model.name_scope():
for block in model:
self.model.add(block)
def hybrid_forward(self, F, x):
if self.outermost:
return self.model(x)
else:
return self.model(x)
# Define Unet generator
class UnetGenerator(HybridBlock):
def __init__(self, in_channels, num_downs, ngf=64, use_dropout=True):
super(UnetGenerator, self).__init__()
# Build unet generator structure
unet = UnetSkipUnit(ngf * 8, ngf * 8, innermost=True)
for _ in range(num_downs - 5):
unet = UnetSkipUnit(ngf * 8, ngf * 8, unet, use_dropout=use_dropout)
unet = UnetSkipUnit(ngf * 8, ngf * 4, unet)
unet = UnetSkipUnit(ngf * 4, ngf * 2, unet)
unet = UnetSkipUnit(ngf * 2, ngf * 1, unet)
unet = UnetSkipUnit(ngf, in_channels, unet, outermost=True)
with self.name_scope():
self.model = unet
def hybrid_forward(self, F, x):
print(np.shape(self.model(x)))
return self.model(x)
# Define the PatchGAN discriminator
class Discriminator(HybridBlock):
def __init__(self, in_channels, ndf=64, n_layers=3, use_sigmoid=False, use_bias=False, istest = False, isthreeway = False):
super(Discriminator, self).__init__()
with self.name_scope():
self.model = HybridSequential()
kernel_size = 5
padding = 0 #int(np.ceil((kernel_size - 1) / 2))
self.model.add(Conv2D(channels=ndf, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=in_channels))
self.model.add(LeakyReLU(alpha=0.2))
nf_mult = 1
for n in range(1, n_layers):
nf_mult_prev = nf_mult
nf_mult = min(2 ** n, 8)
self.model.add(Conv2D(channels=ndf * nf_mult, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult_prev,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult , use_global_stats=istest))
self.model.add(LeakyReLU(alpha=0.2))
nf_mult_prev = nf_mult
nf_mult = min(2 ** n_layers, 8)
self.model.add(Conv2D(channels=ndf * nf_mult, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult_prev,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult, use_global_stats=istest))
self.model.add(LeakyReLU(alpha=0.2))
self.model.add(Conv2D(channels=1, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult))
if isthreeway:
self.model.add(gluon.nn.Dense(3))
elif use_sigmoid:
self.model.add(Activation(activation='sigmoid'))
def hybrid_forward(self, F, x):
out = self.model(x)
#print(np.shape(out))
return out
class LatentDiscriminator(HybridBlock):
def __init__(self, in_channels, ndf=64, n_layers=3, use_sigmoid=False, use_bias=False, istest = False, isthreeway = False):
super(LatentDiscriminator, self).__init__()
with self.name_scope():
self.model = HybridSequential()
self.model.add(gluon.nn.Dense(128))
self.model.add(Activation(activation='relu'))
self.model.add(gluon.nn.Dense(64))
self.model.add(BatchNorm(momentum=0.1, in_channels=64))
self.model.add(Activation(activation='relu'))
self.model.add(gluon.nn.Dense(32))
self.model.add(BatchNorm(momentum=0.1, in_channels=32))
self.model.add(Activation(activation='relu'))
self.model.add(gluon.nn.Dense(16))
self.model.add(Activation(activation='relu'))
self.model.add(gluon.nn.Dense(1))
self.model.add(Activation(activation='sigmoid'))
def hybrid_forward(self, F, x):
out = self.model(x)
#print(np.shape(out))
return out
'''
class CEGenerator(HybridBlock):
def __init__(self, in_channels, ndf=64, n_layers=3, use_sigmoid=False, use_bias=False):
super(CEGenerator, self).__init__()
with self.name_scope():
self.model = HybridSequential()
kernel_size = 4
padding = int(np.ceil((kernel_size - 1) / 2))
self.model.add(Conv2D(channels=ndf, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=in_channels))
self.model.add(LeakyReLU(alpha=0.2))
nf_mult = 1
for n in range(1, n_layers):
nf_mult_prev = nf_mult
nf_mult = 2 ** n
self.model.add(Conv2D(channels=ndf * nf_mult, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult_prev,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult))
self.model.add(LeakyReLU(alpha=0.2))
nf_mult_prev = nf_mult
nf_mult = 2 ** n_layers
self.model.add(Conv2D(channels=ndf * nf_mult, kernel_size=kernel_size, strides=1,
padding=padding, in_channels=ndf * nf_mult_prev,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult))
self.model.add(LeakyReLU(alpha=0.2))
#Decoder
self.model.add(Conv2DTranspose(channels=ndf * nf_mult/2, kernel_size=kernel_size, strides=1,
padding=padding, in_channels=ndf * nf_mult,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult))
self.model.add(LeakyReLU(alpha=0.2))
for n in range(1, n_layers):
nf_mult = nf_mult/2
self.model.add(Conv2DTranspose(channels=ndf * nf_mult/2, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult))
self.model.add(LeakyReLU(alpha=0.2))
self.model.add(Conv2DTranspose(channels=3, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf))
self.model.add(LeakyReLU(alpha=0.2))
def hybrid_forward(self, F, x):
out = self.model(x)
# print(out)
return out
'''
class CEGenerator(HybridBlock):
def __init__(self, in_channels, ndf=64, n_layers=3, use_bias=False, istest=False, usetanh = False ):
super(CEGenerator, self).__init__()
with self.name_scope():
self.model = HybridSequential()
kernel_size = 5
padding = 0 #int(np.ceil((kernel_size - 1) / 2))
self.model.add(Conv2D(channels=ndf, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=in_channels))
self.model.add(LeakyReLU(alpha=0.2))
nf_mult = 2;
nf_mult_prev = 1;
nf_mult = 1
for n in range(1, n_layers):
nf_mult_prev = nf_mult
nf_mult = 2 ** n
self.model.add(Conv2D(channels=ndf * nf_mult, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult_prev,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult, use_global_stats=istest))
self.model.add(LeakyReLU(alpha=0.2))
nf_mult_prev = nf_mult
nf_mult = 2 ** n_layers
self.model.add(Conv2D(channels=4096, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult_prev,
use_bias=use_bias))
#self.model.add(BatchNorm(momentum=0.1, in_channels =128, use_global_stats=istest))
if usetanh:
self.model.add(Activation(activation='tanh'))
else:
self.model.add(LeakyReLU(alpha=0.2))
# Decoder
self.model.add(Conv2DTranspose(channels=ndf * nf_mult/2, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=4096,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult / 2, use_global_stats=istest))
#self.model.add(LeakyReLU(alpha=0.2))
self.model.add(Activation(activation='relu'))
for n in range(1, n_layers):
nf_mult = nf_mult / 2
self.model.add(Conv2DTranspose(channels=ndf * nf_mult / 2, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult / 2, use_global_stats=istest))
#self.model.add(LeakyReLU(alpha=0.2))
if n==2:
self.model.add(Dropout(rate=0.5))
self.model.add(Activation(activation='relu'))
self.model.add(Conv2DTranspose(channels=in_channels, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf))
#self.model.add(LeakyReLU(alpha=0.2))
self.model.add(Activation(activation='tanh'))
def hybrid_forward(self, F, x):
out = self.model(x)
# print(out)
return out
class CEGeneratorP(HybridBlock):
def __init__(self, in_channels, ndf=64, n_layers=3, use_bias=False, istest=False, usetanh = False ):
super(CEGeneratorP, self).__init__()
with self.name_scope():
self.model = HybridSequential()
kernel_size = 5
padding = 0 #int(np.ceil((kernel_size - 1) / 2))
self.model.add(Conv2D(channels=ndf, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=in_channels))
self.model.add(LeakyReLU(alpha=0.2))
nf_mult = 2;
nf_mult_prev = 1;
nf_mult = 1
for n in range(1, n_layers):
nf_mult_prev = nf_mult
nf_mult = 2 ** n
self.model.add(Conv2D(channels=ndf * nf_mult, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult_prev,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult, use_global_stats=istest))
self.model.add(LeakyReLU(alpha=0.2))
nf_mult_prev = nf_mult
nf_mult = 2 ** n_layers
self.model.add(Conv2D(channels=4096, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult_prev,
use_bias=use_bias))
#self.model.add(BatchNorm(momentum=0.1, in_channels =128, use_global_stats=istest))
if usetanh:
self.model.add(Activation(activation='tanh'))
else:
self.model.add(LeakyReLU(alpha=0.2))
# Decoder
self.model.add(Conv2DTranspose(channels=ndf * nf_mult/2, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=4096,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult / 2, use_global_stats=istest))
#self.model.add(LeakyReLU(alpha=0.2))
self.model.add(Activation(activation='relu'))
for n in range(1, n_layers):
nf_mult = nf_mult / 2
self.model.add(Conv2DTranspose(channels=ndf * nf_mult / 2, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult / 2, use_global_stats=istest))
#self.model.add(LeakyReLU(alpha=0.2))
if n==2:
self.model.add(Dropout(rate=0.5))
self.model.add(Activation(activation='relu'))
self.model.add(Conv2DTranspose(channels=in_channels, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf))
#self.model.add(LeakyReLU(alpha=0.2))
self.model.add(Activation(activation='tanh'))
def hybrid_forward(self, F, x):
out = self.model(x)
# print(out)
return out
class Encoder(HybridBlock):
def __init__(self, in_channels, ndf=64, n_layers=3, use_bias=False, istest=False,latent=256, usetanh = False ):
super(Encoder, self).__init__()
usetanh = True
self.model = HybridSequential()
kernel_size = 5
padding = 0 #int(np.ceil((kernel_size - 1) / 2))
self.model.add(Conv2D(channels=ndf, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=in_channels))
self.model.add(LeakyReLU(alpha=0.2))
nf_mult = 2;
nf_mult_prev = 1;
nf_mult = 1
for n in range(1, n_layers):
nf_mult_prev = nf_mult
nf_mult = 2 ** n
self.model.add(Conv2D(channels=ndf * nf_mult, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult_prev,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult, use_global_stats=istest))
self.model.add(LeakyReLU(alpha=0.2))
nf_mult_prev = nf_mult
nf_mult = 2 ** n_layers
self.model.add(Conv2D(channels=latent, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult_prev,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels =latent, use_global_stats=istest))
if usetanh:
self.model.add(Activation(activation='tanh'))
else:
self.model.add(LeakyReLU(alpha=0.2))
def hybrid_forward(self, F, x):
out = self.model(x)
# print(out)
return out
class Decoder(HybridBlock):
def __init__(self, in_channels, ndf=64, n_layers=3, use_bias=False, istest=False, latent=256, usetanh = False ):
super(Decoder, self).__init__()
self.model = HybridSequential()
kernel_size = 5
padding = 0
nf_mult = 2 ** n_layers
self.model.add(Conv2DTranspose(channels=ndf * nf_mult/2, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=latent,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult / 2, use_global_stats=istest))
#self.model.add(LeakyReLU(alpha=0.2))
self.model.add(Activation(activation='relu'))
for n in range(1, n_layers):
nf_mult = nf_mult / 2
self.model.add(Conv2DTranspose(channels=ndf * nf_mult / 2, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf * nf_mult,
use_bias=use_bias))
self.model.add(BatchNorm(momentum=0.1, in_channels=ndf * nf_mult / 2, use_global_stats=istest))
#self.model.add(LeakyReLU(alpha=0.2))
if n==2:
self.model.add(Dropout(rate=0.5))
self.model.add(Activation(activation='relu'))
self.model.add(Conv2DTranspose(channels=in_channels, kernel_size=kernel_size, strides=2,
padding=padding, in_channels=ndf))
#self.model.add(LeakyReLU(alpha=0.2))
self.model.add(Activation(activation='tanh'))
def hybrid_forward(self, F, x):
out = self.model(x)
# print(out)
return out
def param_init(param, ctx):
if param.name.find('conv') != -1:
if param.name.find('weight') != -1:
param.initialize(init=mx.init.Normal(0.02), ctx=ctx)
else:
param.initialize(init=mx.init.Zero(), ctx=ctx)
elif param.name.find('batchnorm') != -1:
param.initialize(init=mx.init.Zero(), ctx=ctx)
# Initialize gamma from normal distribution with mean 1 and std 0.02
if param.name.find('gamma') != -1:
param.initialize(init=mx.init.Normal(0.02), ctx=ctx , force_reinit=True)
#param.set_data(nd.random_normal(1, 0.02, param.data().shape, ctx=ctx))
elif param.name.find('dense') != -1:
param.initialize(init=mx.init.Normal(0.02), ctx=ctx)
def network_init(net, ctx):
for param in net.collect_params().values():
param_init(param, ctx)
| 45.107623 | 127 | 0.562829 | 2,443 | 20,118 | 4.427753 | 0.057716 | 0.103171 | 0.114265 | 0.072294 | 0.858556 | 0.844042 | 0.816493 | 0.805399 | 0.793566 | 0.774522 | 0 | 0.026572 | 0.330301 | 20,118 | 445 | 128 | 45.208989 | 0.776293 | 0.048911 | 0 | 0.714286 | 0 | 0 | 0.006998 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.020408 | null | null | 0.003401 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
bc77beca543b2d5cf1b84c0aa0532d87a5885cdc | 60,206 | py | Python | nba_py/player.py | inoble/nba_py | bb0da9681719f37c637d04ddd5ea7a4f5e256a4d | [
"BSD-3-Clause"
] | null | null | null | nba_py/player.py | inoble/nba_py | bb0da9681719f37c637d04ddd5ea7a4f5e256a4d | [
"BSD-3-Clause"
] | null | null | null | nba_py/player.py | inoble/nba_py | bb0da9681719f37c637d04ddd5ea7a4f5e256a4d | [
"BSD-3-Clause"
] | null | null | null | from nba_py import _api_scrape, _get_json, HAS_PANDAS
from nba_py import constants
class PlayerNotFoundException(Exception):
pass
def get_player(first_name,
last_name=None,
season=constants.CURRENT_SEASON,
only_current=0,
just_id=True):
"""
Calls our PlayerList class to get a full list of players and then returns
just an id if specified or the full row of player information
Args:
:first_name: First name of the player
:last_name: Last name of the player
(this is None if the player only has first name [Nene])
:only_current: Only wants the current list of players
:just_id: Only wants the id of the player
Returns:
Either the ID or full row of information of the player inputted
Raises:
:PlayerNotFoundException::
"""
if last_name is None:
name = first_name.lower()
else:
name = '{}, {}'.format(last_name, first_name).lower()
pl = PlayerList(season=season, only_current=only_current).info()
hdr = 'DISPLAY_LAST_COMMA_FIRST'
if HAS_PANDAS:
item = pl[pl.DISPLAY_LAST_COMMA_FIRST.str.lower() == name]
else:
item = next(plyr for plyr in pl if str(plyr[hdr]).lower() == name)
if len(item) == 0:
raise PlayerNotFoundException
elif just_id:
return item['PERSON_ID']
else:
return item
class PlayerList:
"""
Contains a list of all players for a season, if specified, and will only
contain current players if specified as well
Args:
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:only_current: Restrict lookup to only current players
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'commonallplayers'
def __init__(self,
league_id=constants.League.NBA,
season=constants.CURRENT_SEASON,
only_current=1):
self.json = _get_json(endpoint=self._endpoint,
params={'LeagueID': league_id,
'Season': season,
'IsOnlyCurrentSeason': only_current})
def info(self):
return _api_scrape(self.json, 0)
class PlayerSummary:
"""
Contains common player information like headline stats, weight, etc.
Args:
:player_id: ID of the player to look up
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'commonplayerinfo'
def __init__(self,
player_id):
self.json = _get_json(endpoint=self._endpoint,
params={'PlayerID': player_id})
def info(self):
return _api_scrape(self.json, 0)
def headline_stats(self):
return _api_scrape(self.json, 1)
class PlayerNextNGames:
"""
Contains information about upcoming games for a player
Args:
:player_id: ID of the player to look up
:number_of_games: Number of future games to look up
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playernextngames'
def __init__(self,
player_id,
number_of_games,
season=constants.CURRENT_SEASON,
season_type=constants.SeasonType.Default):
self.json = _get_json(endpoint=self._endpoint,
params={'PlayerID': player_id,
'NumberOfGames': number_of_games,
'Season': season,
'SeasonType': season_type})
def info(self):
return _api_scrape(self.json, 0)
class PlayerFantasyBarGraph:
"""
Fantasy information that can be presented in bar graphs
Args:
:player_id: ID of the player to look up
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerfantasyprofilebargraph'
def __init__(self,
player_id,
league_id=constants.League.Default,
season=constants.CURRENT_SEASON,
season_type=constants.SeasonType.Default):
self.json = _get_json(endpoint=self._endpoint,
params={'PlayerID': player_id,
'LeagueID': league_id,
'Season': season,
'SeasonType': season_type})
def info(self):
return _api_scrape(self.json, 0)
def last_five_games(self):
return _api_scrape(self.json, 1)
class PlayerFantasyProfile:
"""
Contains fantasy player information
Args:
:player_id: ID of the player to look up
:league_id: ID for the league to look in (Default is 00)
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerfantasyprofile'
def __init__(self,
player_id,
league_id=constants.League.Default,
measure_type=constants.MeasureType.Default,
per_mode=constants.PerMode.Default,
plus_minus=constants.PlusMinus.Default,
pace_adjust=constants.PaceAdjust.Default,
rank=constants.PaceAdjust.Default,
season=constants.CURRENT_SEASON,
season_type=constants.SeasonType.Default,):
self.json = _get_json(endpoint=self._endpoint,
params={'PlayerID': player_id,
'LeagueID': league_id,
'MeasureType': measure_type,
'PerMode': per_mode,
'PlusMinus': plus_minus,
'PaceAdjust': pace_adjust,
'Rank': rank,
'Season': season,
'SeasonType': season_type})
def overall(self):
return _api_scrape(self.json, 0)
def location(self):
return _api_scrape(self.json, 1)
def LastNGames(self):
return _api_scrape(self.json, 2)
def DaysRestModified(self):
return _api_scrape(self.json, 3)
def Opponent(self):
return _api_scrape(self.json, 4)
class PlayerCareerByCollegeRollup:
"""
Contains div1 college team totals sorted by last year's seeding
Args:
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playercareerbycollegerollup'
def __init__(self,
per_mode=constants.PerMode.Default,
league_id=constants.League.Default,
season=constants.CURRENT_SEASON,
season_type=constants.SeasonType.Default):
self.json = _get_json(endpoint=self._endpoint,
params={'PerMode': per_mode,
'LeagueID': league_id,
'Season': season,
'SeasonType': season_type})
def east(self):
return _api_scrape(self.json, 0)
def south(self):
return _api_scrape(self.json, 1)
def midwest(self):
return _api_scrape(self.json, 2)
def west(self):
return _api_scrape(self.json, 3)
class PlayerCareerByCollege:
"""
Contains list of nba players and their nba stats grouped by their college
Args:
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:college: which college the player attended (Duke, UCLA etc.)
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playercareerbycollege'
def __init__(self,
per_mode=constants.PerMode.Default,
league_id=constants.League.Default,
season=constants.CURRENT_SEASON,
season_type=constants.SeasonType.Default,
college=0):
self.json = _get_json(endpoint=self._endpoint,
params={'PerMode': per_mode,
'LeagueID': league_id,
'Season': season,
'SeasonType': season_type,
'College': college})
def info(self):
return _api_scrape(self.json, 0)
class PlayerAwards:
"""
Contains information on all awards given to a player (player_id)
Args:
:player_id: ID of the player to look up
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerawards'
def __init__(self,
player_id):
self.json = _get_json(endpoint=self._endpoint,
params={'PlayerID': player_id})
def info(self):
return _api_scrape(self.json, 0)
class PlayerHustleLeaders:
"""
Contains league leading hustle stats by player
Args:
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular or Playoffs)
:playoff_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:team_id: ID of the team to look up
:conference: Filter by conference
:division: Filter by division
:player_experience: Player experience (Rookie
:player_position: Filter by position (Forward
:draft_year: Filter by draft year
:draft_pick: Filter by draft pick (1st+Round, Lottery+Pick, etc.)
:college: Filter by college
:country: Filter by country
:height: Filter by player's height
:weight: Filter by player's weight
"""
_endpoint = 'leaguehustlestatsplayerleaders'
def __init__(self,
per_mode=constants.PerMode.Default,
league_id=constants.League.Default,
season=constants.CURRENT_SEASON,
season_type=constants.SeasonType.Default,
playoff_round=constants.PlayoffRound.Default,
outcome=constants.Outcome.Default,
location=constants.Location.Default,
month=constants.Month.Default,
season_segment=constants.SeasonSegment.Default,
date_from=constants.DateFrom.Default,
date_to=constants.DateTo.Default,
opponent_team_id=constants.OpponentTeamID.Default,
vs_conference=constants.VsConference.Default,
vs_division=constants.VsDivision.Default,
team_id=constants.TeamID.Default,
conference=constants.Conference.Default,
division=constants.Division.Default,
player_experience=constants.PlayerExperience.Default,
player_position=constants.PlayerPosition.Default,
draft_year=constants.DraftYear.Default,
draft_pick=constants.DraftPick.Default,
college=constants.College.Default,
country=constants.Country.Default,
height=constants.Height.Default,
weight=constants.Weight.Default
):
self.json = _get_json(endpoint=self._endpoint,
params={'PerMode': per_mode,
'LeagueID': league_id,
'Season': season,
'SeasonType': season_type,
'PORound': playoff_round,
'Outcome': outcome,
'Location': location,
'Month': month,
'SeasonSegment': season_segment,
'DateFrom': date_from,
'DateTo': date_to,
'OpponentTeamID': opponent_team_id,
'VsConference': vs_conference,
'VsDivision': vs_division,
'TeamID': team_id,
'Conference': conference,
'Division': division,
'PlayerExperience': player_experience,
'PlayerPosition': player_position,
'DraftYear': draft_year,
'DraftPick': draft_pick,
'College': college,
'Country': country,
'Height': height,
'Weight': weight})
def contested_shots(self):
return _api_scrape(self.json, 0)
def charges_drawn(self):
return _api_scrape(self.json, 1)
def deflections(self):
return _api_scrape(self.json, 2)
def loose_balls(self):
return _api_scrape(self.json, 3)
def screen_assists(self):
return _api_scrape(self.json, 4)
class PlayerHustleStats:
"""
Contains hustle stats by player
Args:
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular or Playoffs)
:playoff_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:team_id: ID of the team to look up
:conference: Filter by conference
:division: Filter by division
:player_experience: Player experience (Rookie
:player_position: Filter by position (Forward
:draft_year: Filter by draft year
:draft_pick: Filter by draft pick (1st+Round, Lottery+Pick, etc.)
:college: Filter by college
:country: Filter by country
:height: Filter by player's height
:weight: Filter by player's weight
"""
_endpoint = 'leaguehustlestatsplayer'
def __init__(self,
per_mode=constants.PerMode.Default,
league_id=constants.League.Default,
season=constants.CURRENT_SEASON,
season_type=constants.SeasonType.Default,
playoff_round=constants.PlayoffRound.Default,
outcome=constants.Outcome.Default,
location=constants.Location.Default,
month=constants.Month.Default,
season_segment=constants.SeasonSegment.Default,
date_from=constants.DateFrom.Default,
date_to=constants.DateTo.Default,
opponent_team_id=constants.OpponentTeamID.Default,
vs_conference=constants.VsConference.Default,
vs_division=constants.VsDivision.Default,
team_id=constants.TeamID.Default,
conference=constants.Conference.Default,
division=constants.Division.Default,
player_experience=constants.PlayerExperience.Default,
player_position=constants.PlayerPosition.Default,
draft_year=constants.DraftYear.Default,
draft_pick=constants.DraftPick.Default,
college=constants.College.Default,
country=constants.Country.Default,
height=constants.Height.Default,
weight=constants.Weight.Default
):
self.json = _get_json(endpoint=self._endpoint,
params={'PerMode': per_mode,
'LeagueID': league_id,
'Season': season,
'SeasonType': season_type,
'PORound': playoff_round,
'Outcome': outcome,
'Location': location,
'Month': month,
'SeasonSegment': season_segment,
'DateFrom': date_from,
'DateTo': date_to,
'OpponentTeamID': opponent_team_id,
'VsConference': vs_conference,
'VsDivision': vs_division,
'TeamID': team_id,
'Conference': conference,
'Division': division,
'PlayerExperience': player_experience,
'PlayerPosition': player_position,
'DraftYear': draft_year,
'DraftPick': draft_pick,
'College': college,
'Country': country,
'Height': height,
'Weight': weight})
def info(self):
return _api_scrape(self.json, 0)
class _PlayerDashboard:
"""
Has all the basic arguments for all of the Player Dashboard type objects
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashboardbyyearoveryear'
def __init__(self,
player_id,
team_id=0,
measure_type=constants.MeasureType.Default,
per_mode=constants.PerMode.Default,
plus_minus=constants.PlusMinus.Default,
pace_adjust=constants.PaceAdjust.Default,
rank=constants.PaceAdjust.Default,
league_id=constants.League.Default,
season=constants.CURRENT_SEASON,
season_type=constants.SeasonType.Default,
po_round=constants.PlayoffRound.Default,
outcome=constants.Outcome.Default,
location=constants.Location.Default,
month=constants.Month.Default,
season_segment=constants.SeasonSegment.Default,
date_from=constants.DateFrom.Default,
date_to=constants.DateTo.Default,
opponent_team_id=constants.OpponentTeamID.Default,
vs_conference=constants.VsConference.Default,
vs_division=constants.VsDivision.Default,
game_segment=constants.GameSegment.Default,
period=constants.Period.Default,
shot_clock_range=constants.ShotClockRange.Default,
last_n_games=constants.LastNGames.Default):
self.json = _get_json(endpoint=self._endpoint,
params={'PlayerID': player_id,
'TeamID': team_id,
'MeasureType': measure_type,
'PerMode': per_mode,
'PlusMinus': plus_minus,
'PaceAdjust': pace_adjust,
'Rank': rank,
'LeagueID': league_id,
'Season': season,
'SeasonType': season_type,
'PORound': po_round,
'Outcome': outcome,
'Location': location,
'Month': month,
'SeasonSegment': season_segment,
'DateFrom': date_from,
'DateTo': date_to,
'OpponentTeamID': opponent_team_id,
'VsConference': vs_conference,
'VsDivision': vs_division,
'GameSegment': game_segment,
'Period': period,
'ShotClockRange': shot_clock_range,
'LastNGames': last_n_games},
referer='player')
def overall(self):
return _api_scrape(self.json, 0)
class PlayerGeneralSplits(_PlayerDashboard):
"""
Contains stats pertaining to location, wins and losses, pre/post all star
break, starting position, and numbers of days rest
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashboardbygeneralsplits'
def location(self):
return _api_scrape(self.json, 1)
def win_losses(self):
return _api_scrape(self.json, 2)
def month(self):
return _api_scrape(self.json, 3)
def pre_post_all_star(self):
return _api_scrape(self.json, 4)
def starting_position(self):
return _api_scrape(self.json, 5)
def days_rest(self):
return _api_scrape(self.json, 6)
class PlayerOpponentSplits(_PlayerDashboard):
"""
Contains stats pertaining to player stats vs certain opponents by division,
conference, and by specific team opponent
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashboardbyopponent'
def by_conference(self):
return _api_scrape(self.json, 1)
def by_division(self):
return _api_scrape(self.json, 2)
def by_opponent(self):
return _api_scrape(self.json, 3)
class PlayerLastNGamesSplits(_PlayerDashboard):
"""
Contains players stats per last 5, 10, 15, and 20 games, or specified
number of games.
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashboardbylastngames'
def last5(self):
return _api_scrape(self.json, 1)
def last10(self):
return _api_scrape(self.json, 2)
def last15(self):
return _api_scrape(self.json, 3)
def last20(self):
return _api_scrape(self.json, 4)
def gamenumber(self):
return _api_scrape(self.json, 5)
class PlayerInGameSplits(_PlayerDashboard):
"""
Contains player stats by half, by quarter, by score margin, and by actual
margins.
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashboardbygamesplits'
def by_half(self):
return _api_scrape(self.json, 1)
def by_period(self):
return _api_scrape(self.json, 2)
def by_score_margin(self):
return _api_scrape(self.json, 3)
def by_actual_margin(self):
return _api_scrape(self.json, 4)
class PlayerClutchSplits(_PlayerDashboard):
"""
Contains a lot of methods for last n minutes with a deficit of x points
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashboardbyclutch'
def last5min_deficit_5point(self):
"""
Results in last 5 minutes <= 5 points
"""
return _api_scrape(self.json, 1)
def last3min_deficit_5point(self):
"""
Results in last 5 minutes <= 5 points
"""
return _api_scrape(self.json, 2)
def last1min_deficit_5point(self):
"""
Results in last 5 minutes <= 5 points
"""
return _api_scrape(self.json, 3)
def last30sec_deficit_3point(self):
"""
Results in last 5 minutes <= 5 points
"""
return _api_scrape(self.json, 4)
def last10sec_deficit_3point(self):
"""
Results in last 5 minutes <= 5 points
"""
return _api_scrape(self.json, 5)
def last5min_plusminus_5point(self):
"""
Last 5 minutes +/= 5 points
"""
return _api_scrape(self.json, 6)
def last3min_plusminus_5point(self):
"""
Last 3 minutes +/= 5 points
"""
return _api_scrape(self.json, 7)
def last1min_plusminus_5point(self):
"""
Last 1 minutes +/= 5 points
"""
return _api_scrape(self.json, 8)
def last30sec_plusminus_5point(self):
"""
Last 30 seconds +/= 3 points
"""
return _api_scrape(self.json, 9)
class PlayerShootingSplits(_PlayerDashboard):
"""
Shooting stats based on distance, area, assisted to, shot types, and
assisted by.
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashboardbyshootingsplits'
def shot_5ft(self):
return _api_scrape(self.json, 1)
def shot_8ft(self):
return _api_scrape(self.json, 2)
def shot_areas(self):
return _api_scrape(self.json, 3)
def assisted_shots(self):
return _api_scrape(self.json, 4)
def shot_types_summary(self):
return _api_scrape(self.json, 5)
def shot_types_detail(self):
return _api_scrape(self.json, 6)
def assisted_by(self):
return _api_scrape(self.json, 7)
class PlayerPerformanceSplits(_PlayerDashboard):
"""
Player stats by different performance metrics such as score differntial,
points scored, and points scored against
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashboardbyteamperformance'
def score_differential(self):
return _api_scrape(self.json, 1)
def points_scored(self):
return _api_scrape(self.json, 2)
def points_against(self):
return _api_scrape(self.json, 3)
class PlayerYearOverYearSplits(_PlayerDashboard):
"""
Displays player stats over the given season and over all seasons in the
given league
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashboardbyyearoveryear'
def by_year(self):
return _api_scrape(self.json, 1)
class PlayerCareer:
"""
Contains stats based on several parameters such as career regular season
totals, post season career totals, all star season careers totals, college
season career totals, etc.
Args:
:player_id: Player ID to look up
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:league_id: ID for the league to look in (Default is 00)
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playercareerstats'
def __init__(self,
player_id,
per_mode=constants.PerMode.PerGame,
league_id=constants.League.NBA):
self.json = _get_json(endpoint=self._endpoint,
params={'PlayerID': player_id,
'LeagueID': league_id,
'PerMode': per_mode})
def regular_season_totals(self):
return _api_scrape(self.json, 0)
def regular_season_career_totals(self):
return _api_scrape(self.json, 1)
def post_season_totals(self):
return _api_scrape(self.json, 2)
def post_season_career_totals(self):
return _api_scrape(self.json, 3)
def all_star_season_totals(self):
return _api_scrape(self.json, 4)
def career_all_star_season_totals(self):
return _api_scrape(self.json, 5)
def college_season_totals(self):
return _api_scrape(self.json, 6)
def college_season_career_totals(self):
return _api_scrape(self.json, 7)
def preseason_season_totals(self):
return _api_scrape(self.json, 8)
def preseason_career_totals(self):
return _api_scrape(self.json, 9)
def regular_season_rankings(self):
return _api_scrape(self.json, 10)
def post_season_rankings(self):
return _api_scrape(self.json, 11)
class PlayerProfile(PlayerCareer):
"""
Contains a more in depth version of player career stats with season highs,
career highs, and when the player's next game is
Args:
:player_id: Player ID to look up
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:league_id: ID for the league to look in (Default is 00)
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerprofilev2'
def season_highs(self):
return _api_scrape(self.json, 12)
def career_highs(self):
return _api_scrape(self.json, 13)
def next_game(self):
return _api_scrape(self.json, 14)
class PlayerGameLogs:
"""
Contains a full log of all the games for a player for a given season
Args:
:player_id: ID of the player to look up
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playergamelog'
def __init__(self,
player_id,
league_id=constants.League.NBA,
season=constants.CURRENT_SEASON,
season_type=constants.SeasonType.Regular):
self.json = _get_json(endpoint=self._endpoint,
params={'PlayerID': player_id,
'LeagueID': league_id,
'Season': season,
'SeasonType': season_type})
def info(self):
return _api_scrape(self.json, 0)
class PlayerShotTracking(_PlayerDashboard):
"""
Tracking data for shooting for a given player
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashptshots'
def general_shooting(self):
return _api_scrape(self.json, 1)
def shot_clock_shooting(self):
return _api_scrape(self.json, 2)
def dribble_shooting(self):
return _api_scrape(self.json, 3)
def closest_defender_shooting(self):
return _api_scrape(self.json, 4)
def closest_defender_shooting_long(self):
return _api_scrape(self.json, 5)
def touch_time_shooting(self):
return _api_scrape(self.json, 6)
class PlayerReboundTracking(_PlayerDashboard):
"""
Tracking data for rebounding for a given player
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashptreb'
def shot_type_rebounding(self):
return _api_scrape(self.json, 1)
def num_contested_rebounding(self):
return _api_scrape(self.json, 2)
def shot_distance_rebounding(self):
return _api_scrape(self.json, 3)
def rebound_distance_rebounding(self):
return _api_scrape(self.json, 4)
class PlayerPassTracking(_PlayerDashboard):
"""
Tracking data for passing for a given player
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashptpass'
def passes_made(self):
return _api_scrape(self.json, 0)
def passes_received(self):
return _api_scrape(self.json, 1)
class PlayerDefenseTracking(_PlayerDashboard):
"""
Tracking data for defense for a given player
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashptshotdefend'
class PlayerShotLogTracking(_PlayerDashboard):
"""
Contains a log for every shot for a given season for a given player
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashptshotlog'
class PlayerReboundLogTracking(_PlayerDashboard):
"""
Contains a log for every rebound for a given season for a given player
Args:
:player_id: ID of the player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
:json: Contains the full json dump to play around with
"""
_endpoint = 'playerdashptreboundlogs'
class PlayerVsPlayer:
"""
Contains general stats that pertain to players going against other players
Args:
:player_id: ID of the player to look up
:vs_player_id: ID of the vs player to look up
:team_id: ID of the team to look up
:measure_type: Specifies type of measure to use (Base, Advanced, etc.)
:per_mode: Mode to measure statistics (Totals, PerGame, Per36, etc.)
:plus_minus: Whether or not to consider plus minus (Y or N)
:pace_adjust: Whether or not to pace adjust stats (Y or N)
:rank: Whether or not to consider rank (Y or N)
:league_id: ID for the league to look in (Default is 00)
:season: Season given to look up
:season_type: Season type to consider (Regular / Playoffs)
:po_round: Playoff round
:outcome: Filter out by wins or losses
:location: Filter out by home or away
:month: Specify month to filter by
:season_segment: Filter by pre/post all star break
:date_from: Filter out games before a specific date
:date_to: Filter out games after a specific date
:opponent_team_id: Opponent team ID to look up
:vs_conference: Filter by conference
:vs_division: Filter by division
:game_segment: Filter by half / overtime
:period: Filter by quarter / specific overtime
:shot_clock_range: Filter statistics by range in shot clock
:last_n_games: Filter by number of games specified in N
Attributes:
json: Contains the full json dump to play around with
"""
_endpoint = 'playervsplayer'
def __init__(self,
player_id,
vs_player_id,
team_id=0,
measure_type=constants.MeasureType.Default,
per_mode=constants.PerMode.Default,
plus_minus=constants.PlusMinus.Default,
pace_adjust=constants.PaceAdjust.Default,
rank=constants.PaceAdjust.Default,
league_id=constants.League.Default,
season=constants.CURRENT_SEASON,
season_type=constants.SeasonType.Default,
po_round=constants.PlayoffRound.Default,
outcome=constants.Outcome.Default,
location=constants.Location.Default,
month=constants.Month.Default,
season_segment=constants.SeasonSegment.Default,
date_from=constants.DateFrom.Default,
date_to=constants.DateTo.Default,
opponent_team_id=constants.OpponentTeamID.Default,
vs_conference=constants.VsConference.Default,
vs_division=constants.VsDivision.Default,
game_segment=constants.GameSegment.Default,
period=constants.Period.Default,
shot_clock_range=constants.ShotClockRange.Default,
last_n_games=constants.LastNGames.Default):
self.json = _get_json(endpoint=self._endpoint,
params={'PlayerID': player_id,
'VsPlayerID': vs_player_id,
'TeamID': team_id,
'MeasureType': measure_type,
'PerMode': per_mode,
'PlusMinus': plus_minus,
'PaceAdjust': pace_adjust,
'Rank': rank,
'LeagueID': league_id,
'Season': season,
'SeasonType': season_type,
'PORound': po_round,
'Outcome': outcome,
'Location': location,
'Month': month,
'SeasonSegment': season_segment,
'DateFrom': date_from,
'DateTo': date_to,
'OpponentTeamID': opponent_team_id,
'VsConference': vs_conference,
'VsDivision': vs_division,
'GameSegment': game_segment,
'Period': period,
'ShotClockRange': shot_clock_range,
'LastNGames': last_n_games})
def overall(self):
return _api_scrape(self.json, 0)
def on_off_court(self):
return _api_scrape(self.json, 1)
def shot_distance_overall(self):
return _api_scrape(self.json, 2)
def shot_distance_on_court(self):
return _api_scrape(self.json, 3)
def shot_distance_off_court(self):
return _api_scrape(self.json, 4)
def shot_area_overall(self):
return _api_scrape(self.json, 5)
def shot_area_on_court(self):
return _api_scrape(self.json, 6)
def shot_area_off_court(self):
return _api_scrape(self.json, 7)
def player_info(self):
return _api_scrape(self.json, 8)
def vs_player_info(self):
return _api_scrape(self.json, 9)
| 39.324624 | 79 | 0.600339 | 7,220 | 60,206 | 4.849723 | 0.055956 | 0.031529 | 0.042839 | 0.054262 | 0.861117 | 0.854462 | 0.848494 | 0.840897 | 0.783007 | 0.762587 | 0 | 0.006693 | 0.332475 | 60,206 | 1,530 | 80 | 39.350327 | 0.864565 | 0.491546 | 0 | 0.683673 | 0 | 0 | 0.067367 | 0.016326 | 0 | 0 | 0 | 0 | 0 | 1 | 0.195578 | false | 0.008503 | 0.003401 | 0.154762 | 0.472789 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 |
bc999b4268a703047ea1f2896f986e6c159faf8b | 4,897 | py | Python | models/conv_attention.py | adamgeva/Action_Recognition_ConvLSTM | f759253d85838986f7f09a3e11a44fd61f33c915 | [
"Apache-2.0"
] | 1 | 2020-01-08T19:48:13.000Z | 2020-01-08T19:48:13.000Z | models/conv_attention.py | adamgeva/Action_Recognition_ConvLSTM | f759253d85838986f7f09a3e11a44fd61f33c915 | [
"Apache-2.0"
] | null | null | null | models/conv_attention.py | adamgeva/Action_Recognition_ConvLSTM | f759253d85838986f7f09a3e11a44fd61f33c915 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
def conv_attention_sum(inputs, attention_kernel, time_major=False):
if isinstance(inputs, tuple):
# In case of Bi-RNN, concatenate the forward and the backward RNN outputs.
inputs = tf.concat(inputs, 2)
if time_major:
# (T,B,H,W,C) => (B,T,H,W,C)
inputs = tf.array_ops.transpose(inputs, [1, 0, 2, 3, 4])
inputs_shape = inputs.shape #[B,T,H,W,C]
feature_lengths = inputs_shape[1].value #[T]
feature_windows = [inputs_shape[2].value,inputs_shape[3].value] #[H,W]
feature_channels = inputs_shape[4].value #[C]
w_size = attention_kernel + [feature_channels,feature_channels]
#W = tf.get_variable('kernel', attention_kernel + [feature_channels,feature_channels]) #[1,1,C,C]
W = tf.Variable(tf.random_normal(w_size, stddev=0.1))
b = tf.Variable(tf.random_normal([feature_channels], stddev=0.1)) #[C]
u = tf.Variable(tf.random_normal([feature_channels], stddev=0.1)) #[C]
inputs_conv = tf.reshape(inputs, [-1, inputs_shape[2].value,inputs_shape[3].value,feature_channels]) #[B*T,H,W,C]
y = tf.nn.conv2d(inputs_conv, W, strides=[1, 1, 1, 1], padding='SAME') #[B*T,H,W,C]
v = tf.nn.relu(y + b) #[B*T,H,W,C]
vu = tf.matmul(tf.reshape(v,[-1,feature_channels]), tf.reshape(u, [-1, 1])) #[B*T*H*W,C]*[C,1] = [B*T*H*W,1]
exps = tf.reshape(tf.exp(vu), [-1, feature_lengths]) #[B*W*H,T]
alphas = exps / tf.reshape(tf.reduce_sum(exps, 1), [-1, 1]) #[B*W*H,T]
alphas_r = tf.reshape(alphas, [-1, feature_lengths, inputs_shape[2].value, inputs_shape[3].value, 1])
temp = tf.reshape(alphas, [-1, feature_lengths, inputs_shape[2].value, inputs_shape[3].value, 1])
#temp = inputs * tf.reshape(alphas, [-1, feature_lengths, inputs_shape[2].value, inputs_shape[3].value, 1])
#temp2 = tf.matmul(tf.reshape(temp,[-1,feature_channels]), tf.reshape(u, [-1, 1]))
#temp3 = tf.reshape(temp2, [-1, feature_lengths, inputs_shape[2].value, inputs_shape[3].value, 1])
output = tf.reduce_sum(inputs * tf.reshape(alphas, [-1, feature_lengths, inputs_shape[2].value, inputs_shape[3].value, 1]), 1) #[B,T,H,W,C]*[B,T,H,W,1] ===> [B,H,W,C]
return output, alphas_r, v, temp #[B*H*W*C]
############################################################# remove the time_dims
def conv_attention(inputs, attention_kernel, time_major=False):
if isinstance(inputs, tuple):
# In case of Bi-RNN, concatenate the forward and the backward RNN outputs.
inputs = tf.concat(inputs, 2)
if time_major:
# (T,B,H,W,C) => (B,T,H,W,C)
inputs = tf.array_ops.transpose(inputs, [1, 0, 2, 3, 4])
inputs_shape = inputs.shape #[B,T,H,W,C]
feature_lengths = inputs_shape[1].value #[T]
feature_windows = [inputs_shape[2].value,inputs_shape[3].value] #[H,W]
feature_channels = inputs_shape[4].value #[C]
w_size = attention_kernel + [feature_channels,feature_channels]
W = tf.Variable(tf.random_normal(w_size, stddev=0.1))
b = tf.Variable(tf.random_normal([feature_channels], stddev=0.1)) #[C]
u = tf.Variable(tf.random_normal([feature_channels], stddev=0.1)) #[C]
inputs_conv = tf.reshape(inputs, [-1, inputs_shape[2].value,inputs_shape[3].value,feature_channels]) #[B*T,H,W,C]
y = tf.nn.conv2d(inputs_conv, W, strides=[1, 1, 1, 1], padding='SAME') #[B*T,H,W,C]
v = tf.nn.relu(y + b) #[B*T,H,W,C]
vu = tf.matmul(tf.reshape(v,[-1,feature_channels]), tf.reshape(u, [-1, 1])) #[B*T*H*W,C]*[C,1] = [B*T*H*W,1]
exps = tf.reshape(tf.exp(vu), [-1, feature_lengths]) #[B*W*H,T]
alphas = exps / tf.reshape(tf.reduce_sum(exps, 1), [-1, 1]) #[B*W*H,T]
# Output of Bi-RNN is reduced with attention vector
output =inputs * tf.reshape(alphas, [-1, feature_lengths, inputs_shape[2].value, inputs_shape[3].value, 1]) #[B,T,H,W,C]*[B,T,H,W,1] ===> [B,H,W,C]
return output #[B*H*W*C]
| 55.022472 | 218 | 0.502961 | 671 | 4,897 | 3.536513 | 0.120715 | 0.129794 | 0.025284 | 0.030341 | 0.906026 | 0.903498 | 0.884534 | 0.884534 | 0.872735 | 0.872735 | 0 | 0.030811 | 0.330611 | 4,897 | 88 | 219 | 55.647727 | 0.693106 | 0.272003 | 0 | 0.8 | 0 | 0 | 0.002309 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044444 | false | 0 | 0.022222 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
bce1a0102563713a96fb4ec12da43038bf2a25d4 | 156 | py | Python | xitorch/integrate/__init__.py | mfkasim91/lintorch | 7a7da4b960e83c07e45ddb999da99510d3c9e909 | [
"MIT"
] | 4 | 2020-10-15T15:07:54.000Z | 2022-01-29T23:01:10.000Z | xitorch/integrate/__init__.py | mfkasim91/lintorch | 7a7da4b960e83c07e45ddb999da99510d3c9e909 | [
"MIT"
] | 7 | 2020-09-16T11:44:34.000Z | 2020-09-24T13:17:19.000Z | xitorch/integrate/__init__.py | mfkasim91/lintorch | 7a7da4b960e83c07e45ddb999da99510d3c9e909 | [
"MIT"
] | 2 | 2020-09-17T09:41:33.000Z | 2020-09-17T10:00:40.000Z | from xitorch.integrate.quad import *
from xitorch.integrate.solve_ivp import *
from xitorch.integrate.mcquad import *
from xitorch.integrate.squad import *
| 31.2 | 41 | 0.820513 | 21 | 156 | 6.047619 | 0.428571 | 0.346457 | 0.629921 | 0.614173 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.102564 | 156 | 4 | 42 | 39 | 0.907143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
bcfc7333518c6cb269fd6a7b90f5e8f591f7a160 | 81,482 | py | Python | aries_cloudagent/protocols/didexchange/v1_0/tests/test_manager.py | vitalrev/aries-cloudagent-python | 7da54521eddd731a58281ae4647945a6ffba92a9 | [
"Apache-2.0"
] | null | null | null | aries_cloudagent/protocols/didexchange/v1_0/tests/test_manager.py | vitalrev/aries-cloudagent-python | 7da54521eddd731a58281ae4647945a6ffba92a9 | [
"Apache-2.0"
] | null | null | null | aries_cloudagent/protocols/didexchange/v1_0/tests/test_manager.py | vitalrev/aries-cloudagent-python | 7da54521eddd731a58281ae4647945a6ffba92a9 | [
"Apache-2.0"
] | null | null | null | import json
from asynctest import mock as async_mock, TestCase as AsyncTestCase
from .....cache.base import BaseCache
from .....cache.in_memory import InMemoryCache
from .....connections.models.conn_record import ConnRecord
from .....connections.models.connection_target import ConnectionTarget
from .....connections.models.diddoc import (
DIDDoc,
PublicKey,
PublicKeyType,
Service,
)
from .....core.in_memory import InMemoryProfile
from .....ledger.base import BaseLedger
from .....ledger.error import LedgerError
from .....messaging.responder import BaseResponder, MockResponder
from .....messaging.decorators.attach_decorator import AttachDecorator
from .....multitenant.manager import MultitenantManager
from .....storage.error import StorageNotFoundError
from .....transport.inbound.receipt import MessageReceipt
from .....multitenant.manager import MultitenantManager
from .....wallet.base import DIDInfo
from .....wallet.in_memory import InMemoryWallet
from .....wallet.util import naked_to_did_key
from .....connections.base_manager import (
BaseConnectionManager,
BaseConnectionManagerError,
)
from ....connections.v1_0.messages.connection_invitation import ConnectionInvitation
from ....coordinate_mediation.v1_0.manager import MediationManager
from ....coordinate_mediation.v1_0.messages.keylist_update import (
KeylistUpdate,
KeylistUpdateRule,
)
from ....coordinate_mediation.v1_0.models.mediation_record import (
MediationRecord,
)
from ....didcomm_prefix import DIDCommPrefix
from ....out_of_band.v1_0.manager import OutOfBandManager
from ....out_of_band.v1_0.messages.invitation import HSProto, InvitationMessage
from ....out_of_band.v1_0.messages.service import Service as OOBService
from .. import manager as test_module
from ..manager import DIDXManager, DIDXManagerError
class TestConfig:
test_seed = "testseed000000000000000000000001"
test_did = "55GkHamhTU1ZbTbV2ab9DE"
test_verkey = "3Dn1SJNPaCXcvvJvSbsFWP2xaCjMom3can8CQNhWrTRx"
test_endpoint = "http://localhost"
test_target_did = "GbuDUYXaUZRfHD2jeDuQuP"
test_target_verkey = "9WCgWKUaAJj3VWxxtzvvMQN3AoFxoBtBDo9ntwJnVVCC"
def make_did_doc(self, did, verkey):
doc = DIDDoc(did=did)
controller = did
ident = "1"
pk_value = verkey
pk = PublicKey(
did, ident, pk_value, PublicKeyType.ED25519_SIG_2018, controller, False
)
doc.set(pk)
recip_keys = [pk]
router_keys = []
service = Service(
did, "indy", "IndyAgent", recip_keys, router_keys, TestConfig.test_endpoint
)
doc.set(service)
return doc
class TestDidExchangeManager(AsyncTestCase, TestConfig):
async def setUp(self):
self.responder = MockResponder()
self.session = InMemoryProfile.test_session(
{
"default_endpoint": "http://aries.ca/endpoint",
"default_label": "This guy",
"additional_endpoints": ["http://aries.ca/another-endpoint"],
"debug.auto_accept_invites": True,
"debug.auto_accept_requests": True,
"multitenant.enabled": True,
"wallet.id": True,
},
bind={BaseResponder: self.responder, BaseCache: InMemoryCache()},
)
self.context = self.session.context
self.did_info = await self.session.wallet.create_local_did()
self.ledger = async_mock.create_autospec(BaseLedger)
self.ledger.__aenter__ = async_mock.CoroutineMock(return_value=self.ledger)
self.ledger.get_endpoint_for_did = async_mock.CoroutineMock(
return_value=TestConfig.test_endpoint
)
self.session.context.injector.bind_instance(BaseLedger, self.ledger)
self.multitenant_mgr = async_mock.MagicMock(MultitenantManager, autospec=True)
self.session.context.injector.bind_instance(
MultitenantManager, self.multitenant_mgr
)
self.manager = DIDXManager(self.session)
assert self.manager.session
self.oob_manager = OutOfBandManager(self.session)
self.test_mediator_routing_keys = [
naked_to_did_key("3Dn1SJNPaCXcvvJvSbsFWP2xaCjMom3can8CQNhWrTRR")
]
self.test_mediator_conn_id = "mediator-conn-id"
self.test_mediator_endpoint = "http://mediator.example.com"
async def test_verify_diddoc(self):
did_doc = self.make_did_doc(
TestConfig.test_target_did,
TestConfig.test_target_verkey,
)
did_doc_attach = AttachDecorator.from_indy_dict(did_doc.serialize())
with self.assertRaises(DIDXManagerError):
await self.manager.verify_diddoc(self.session.wallet, did_doc_attach)
await did_doc_attach.data.sign(self.did_info.verkey, self.session.wallet)
await self.manager.verify_diddoc(self.session.wallet, did_doc_attach)
did_doc_attach.data.base64_ = "YmFpdCBhbmQgc3dpdGNo"
with self.assertRaises(DIDXManagerError):
await self.manager.verify_diddoc(self.session.wallet, did_doc_attach)
async def test_receive_invitation(self):
self.session.context.update_settings({"public_invites": True})
mediation_record = MediationRecord(
role=MediationRecord.ROLE_CLIENT,
state=MediationRecord.STATE_GRANTED,
connection_id=self.test_mediator_conn_id,
routing_keys=self.test_mediator_routing_keys,
endpoint=self.test_mediator_endpoint,
)
await mediation_record.save(self.session)
with async_mock.patch.object(
test_module, "AttachDecorator", autospec=True
) as mock_attach_deco, async_mock.patch.object(
self.multitenant_mgr, "get_default_mediator"
) as mock_get_default_mediator:
mock_get_default_mediator.return_value = mediation_record
invi_rec = await self.oob_manager.create_invitation(
my_endpoint="testendpoint",
hs_protos=[HSProto.RFC23],
)
invi_msg = InvitationMessage.deserialize(invi_rec.invitation)
mock_attach_deco.from_indy_dict = async_mock.MagicMock(
return_value=async_mock.MagicMock(
data=async_mock.MagicMock(sign=async_mock.CoroutineMock())
)
)
invitee_record = await self.manager.receive_invitation(invi_msg)
assert invitee_record.state == ConnRecord.State.REQUEST.rfc23
async def test_receive_invitation_no_auto_accept(self):
mediation_record = MediationRecord(
role=MediationRecord.ROLE_CLIENT,
state=MediationRecord.STATE_GRANTED,
connection_id=self.test_mediator_conn_id,
routing_keys=self.test_mediator_routing_keys,
endpoint=self.test_mediator_endpoint,
)
await mediation_record.save(self.session)
with async_mock.patch.object(
self.multitenant_mgr, "get_default_mediator"
) as mock_get_default_mediator:
mock_get_default_mediator.return_value = mediation_record
invi_rec = await self.oob_manager.create_invitation(
my_endpoint="testendpoint",
hs_protos=[HSProto.RFC23],
)
invitee_record = await self.manager.receive_invitation(
InvitationMessage.deserialize(invi_rec.invitation), auto_accept=False
)
assert invitee_record.state == ConnRecord.State.INVITATION.rfc23
async def test_receive_invitation_bad_invitation(self):
x_invites = [
InvitationMessage(),
InvitationMessage(service=[OOBService()]),
InvitationMessage(
service=[
OOBService(
recipient_keys=["3Dn1SJNPaCXcvvJvSbsFWP2xaCjMom3can8CQNhWrTRx"]
)
]
),
]
for x_invite in x_invites:
with self.assertRaises(DIDXManagerError):
await self.manager.receive_invitation(x_invite)
async def test_create_request_implicit(self):
mediation_record = MediationRecord(
role=MediationRecord.ROLE_CLIENT,
state=MediationRecord.STATE_GRANTED,
connection_id=self.test_mediator_conn_id,
routing_keys=self.test_mediator_routing_keys,
endpoint=self.test_mediator_endpoint,
)
await mediation_record.save(self.session)
with async_mock.patch.object(
self.manager, "create_did_document", async_mock.CoroutineMock()
) as mock_create_did_doc, async_mock.patch.object(
self.multitenant_mgr, "get_default_mediator"
) as mock_get_default_mediator:
mock_get_default_mediator.return_value = mediation_record
mock_create_did_doc.return_value = async_mock.MagicMock(
serialize=async_mock.MagicMock(return_value={})
)
didx_req = await self.manager.create_request_implicit(
their_public_did=TestConfig.test_target_did,
my_label=None,
my_endpoint=None,
mediation_id=mediation_record._id,
)
assert didx_req._id
async def test_create_request(self):
mock_conn_rec = async_mock.MagicMock(
connection_id="dummy",
my_did=self.did_info.did,
their_did=TestConfig.test_target_did,
their_role=ConnRecord.Role.RESPONDER.rfc23,
state=ConnRecord.State.REQUEST.rfc23,
retrieve_invitation=async_mock.CoroutineMock(
return_value=async_mock.MagicMock(
service_blocks=None,
service_dids=[TestConfig.test_target_did],
)
),
save=async_mock.CoroutineMock(),
)
with async_mock.patch.object(
self.manager, "create_did_document", async_mock.CoroutineMock()
) as mock_create_did_doc:
mock_create_did_doc.return_value = async_mock.MagicMock(
serialize=async_mock.MagicMock(return_value={})
)
didx_req = await self.manager.create_request(mock_conn_rec)
assert didx_req
async def test_create_request_multitenant(self):
self.context.update_settings(
{"multitenant.enabled": True, "wallet.id": "test_wallet"}
)
with async_mock.patch.object(
InMemoryWallet, "create_local_did", autospec=True
) as mock_wallet_create_local_did, async_mock.patch.object(
self.manager, "create_did_document", async_mock.CoroutineMock()
) as mock_create_did_doc, async_mock.patch.object(
test_module, "AttachDecorator", autospec=True
) as mock_attach_deco:
mock_create_did_doc.return_value = async_mock.MagicMock(
serialize=async_mock.MagicMock(return_value={})
)
mock_wallet_create_local_did.return_value = DIDInfo(
TestConfig.test_did, TestConfig.test_verkey, None
)
mock_attach_deco.from_indy_dict = async_mock.MagicMock(
return_value=async_mock.MagicMock(
data=async_mock.MagicMock(sign=async_mock.CoroutineMock())
)
)
await self.manager.create_request(
async_mock.MagicMock(
invitation_key=TestConfig.test_verkey,
their_label="Hello",
their_role=ConnRecord.Role.RESPONDER.rfc160,
alias="Bob",
my_did=None,
retrieve_invitation=async_mock.CoroutineMock(
return_value=async_mock.MagicMock(
service_blocks=None,
service_dids=[TestConfig.test_target_did],
)
),
save=async_mock.CoroutineMock(),
)
)
self.multitenant_mgr.add_key.assert_called_once_with(
"test_wallet", TestConfig.test_verkey
)
async def test_create_request_mediation_id(self):
mediation_record = MediationRecord(
role=MediationRecord.ROLE_CLIENT,
state=MediationRecord.STATE_GRANTED,
connection_id=self.test_mediator_conn_id,
routing_keys=self.test_mediator_routing_keys,
endpoint=self.test_mediator_endpoint,
)
await mediation_record.save(self.session)
invi = InvitationMessage(
comment="test",
handshake_protocols=[
pfx.qualify(HSProto.RFC23.name) for pfx in DIDCommPrefix
],
service_dids=[TestConfig.test_did],
)
record = ConnRecord(
invitation_key=TestConfig.test_verkey,
invitation_msg_id=invi._id,
their_label="Hello",
their_role=ConnRecord.Role.RESPONDER.rfc160,
alias="Bob",
my_did=None,
)
await record.save(self.session)
await record.attach_invitation(self.session, invi)
with async_mock.patch.object(
self.manager, "create_did_document", async_mock.CoroutineMock()
) as mock_create_did_doc:
mock_create_did_doc.return_value = async_mock.MagicMock(
serialize=async_mock.MagicMock(return_value={})
)
didx_req = await self.manager.create_request(
record,
my_endpoint="http://testendpoint.com/endpoint",
mediation_id=mediation_record._id,
)
assert didx_req
assert len(self.responder.messages) == 1
message, used_kwargs = self.responder.messages[0]
assert isinstance(message, KeylistUpdate)
assert (
"connection_id" in used_kwargs
and used_kwargs["connection_id"] == self.test_mediator_conn_id
)
async def test_create_request_my_endpoint(self):
mock_conn_rec = async_mock.MagicMock(
connection_id="dummy",
my_did=None,
their_did=TestConfig.test_target_did,
their_role=ConnRecord.Role.RESPONDER.rfc23,
their_label="Bob",
invitation_key=TestConfig.test_verkey,
state=ConnRecord.State.REQUEST.rfc23,
alias="Bob",
retrieve_invitation=async_mock.CoroutineMock(
return_value=async_mock.MagicMock(
service_blocks=None,
service_dids=[TestConfig.test_target_did],
)
),
save=async_mock.CoroutineMock(),
)
with async_mock.patch.object(
self.manager, "create_did_document", async_mock.CoroutineMock()
) as mock_create_did_doc:
mock_create_did_doc.return_value = async_mock.MagicMock(
serialize=async_mock.MagicMock(return_value={})
)
didx_req = await self.manager.create_request(
mock_conn_rec,
my_endpoint="http://testendpoint.com/endpoint",
)
assert didx_req
async def test_receive_request_explicit_public_did(self):
mock_request = async_mock.MagicMock(
did=TestConfig.test_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(return_value="dummy-did-doc")
),
)
),
_thread=async_mock.MagicMock(pthid="did:sov:publicdid0000000000000"),
)
mediation_record = MediationRecord(
role=MediationRecord.ROLE_CLIENT,
state=MediationRecord.STATE_GRANTED,
connection_id=self.test_mediator_conn_id,
routing_keys=self.test_mediator_routing_keys,
endpoint=self.test_mediator_endpoint,
)
await mediation_record.save(self.session)
await self.session.wallet.create_local_did(seed=None, did=TestConfig.test_did)
STATE_REQUEST = ConnRecord.State.REQUEST
self.session.context.update_settings({"public_invites": True})
ACCEPT_AUTO = ConnRecord.ACCEPT_AUTO
with async_mock.patch.object(
test_module, "ConnRecord", async_mock.MagicMock()
) as mock_conn_rec_cls, async_mock.patch.object(
test_module, "DIDDoc", autospec=True
) as mock_did_doc, async_mock.patch.object(
test_module, "DIDPosture", autospec=True
) as mock_did_posture, async_mock.patch.object(
test_module, "AttachDecorator", autospec=True
) as mock_attach_deco, async_mock.patch.object(
test_module, "DIDXResponse", autospec=True
) as mock_response, async_mock.patch.object(
self.manager, "create_did_document", async_mock.CoroutineMock()
) as mock_create_did_doc, async_mock.patch.object(
MediationManager, "prepare_request", autospec=True
) as mock_mediation_mgr_prep_req:
mock_create_did_doc.return_value = async_mock.MagicMock(
serialize=async_mock.MagicMock(return_value={})
)
mock_mediation_mgr_prep_req.return_value = (mediation_record, mock_request)
mock_conn_record = async_mock.MagicMock(
accept=ACCEPT_AUTO,
my_did=None,
state=STATE_REQUEST.rfc23,
attach_request=async_mock.CoroutineMock(),
retrieve_request=async_mock.CoroutineMock(),
metadata_get_all=async_mock.CoroutineMock(return_value={}),
metadata_get=async_mock.CoroutineMock(return_value=True),
save=async_mock.CoroutineMock(),
)
mock_conn_rec_cls.ACCEPT_AUTO = ConnRecord.ACCEPT_AUTO
mock_conn_rec_cls.State.REQUEST = STATE_REQUEST
mock_conn_rec_cls.State.get = async_mock.MagicMock(
return_value=STATE_REQUEST
)
mock_conn_rec_cls.retrieve_by_id = async_mock.CoroutineMock(
return_value=async_mock.MagicMock(save=async_mock.CoroutineMock())
)
mock_conn_rec_cls.retrieve_by_invitation_key = async_mock.CoroutineMock(
return_value=mock_conn_record
)
mock_conn_rec_cls.return_value = mock_conn_record
mock_did_posture.get = async_mock.MagicMock(
return_value=test_module.DIDPosture.PUBLIC
)
mock_did_doc.from_json = async_mock.MagicMock(
return_value=async_mock.MagicMock(did=TestConfig.test_did)
)
mock_attach_deco.from_indy_dict = async_mock.MagicMock(
return_value=async_mock.MagicMock(
data=async_mock.MagicMock(sign=async_mock.CoroutineMock())
)
)
mock_response.return_value = async_mock.MagicMock(
assign_thread_from=async_mock.MagicMock(),
assign_trace_from=async_mock.MagicMock(),
)
conn_rec = await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=None,
my_endpoint=None,
alias=None,
auto_accept_implicit=None,
mediation_id=None,
)
assert conn_rec
messages = self.responder.messages
assert len(messages) == 2
(result, target) = messages[0]
assert "connection_id" in target
async def test_receive_request_invi_not_found(self):
mock_request = async_mock.MagicMock(
did=TestConfig.test_did,
did_doc_attach=None,
_thread=async_mock.MagicMock(pthid="explicit-not-a-did"),
)
await self.session.wallet.create_local_did(seed=None, did=TestConfig.test_did)
with async_mock.patch.object(
test_module, "ConnRecord", async_mock.MagicMock()
) as mock_conn_rec_cls:
mock_conn_rec_cls.retrieve_by_invitation_key = async_mock.CoroutineMock(
side_effect=StorageNotFoundError()
)
with self.assertRaises(DIDXManagerError) as context:
await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=TestConfig.test_verkey,
my_endpoint=None,
alias=None,
auto_accept_implicit=None,
mediation_id=None,
)
assert "No explicit invitation found" in str(context.exception)
async def test_receive_request_with_mediator_without_multi_use_multitenant(self):
multiuse_info = await self.session.wallet.create_local_did()
did_doc_dict = self.make_did_doc(
did=TestConfig.test_target_did,
verkey=TestConfig.test_target_verkey,
).serialize()
del did_doc_dict["authentication"]
del did_doc_dict["service"]
new_info = await self.session.wallet.create_local_did()
mock_request = async_mock.MagicMock()
mock_request.connection = async_mock.MagicMock(
is_multiuse_invitation=False, invitation_key=multiuse_info.verkey
)
mock_request.connection.did = TestConfig.test_did
mock_request.connection.did_doc = async_mock.MagicMock()
mock_request.connection.did_doc.did = TestConfig.test_did
mock_request.did = self.test_target_did
mock_request.did_doc_attach = async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(return_value=json.dumps(did_doc_dict))
),
)
)
await self.session.wallet.create_local_did(seed=None, did=TestConfig.test_did)
mediation_record = MediationRecord(
role=MediationRecord.ROLE_CLIENT,
state=MediationRecord.STATE_GRANTED,
connection_id=self.test_mediator_conn_id,
routing_keys=self.test_mediator_routing_keys,
endpoint=self.test_mediator_endpoint,
)
await mediation_record.save(self.session)
record = ConnRecord(
invitation_key=TestConfig.test_verkey,
their_label="Hello",
their_role=ConnRecord.Role.RESPONDER.rfc160,
alias="Bob",
)
record.accept = ConnRecord.ACCEPT_MANUAL
await record.save(self.session)
with async_mock.patch.object(
ConnRecord, "save", autospec=True
) as mock_conn_rec_save, async_mock.patch.object(
ConnRecord, "attach_request", autospec=True
) as mock_conn_attach_request, async_mock.patch.object(
ConnRecord, "retrieve_by_invitation_key"
) as mock_conn_retrieve_by_invitation_key, async_mock.patch.object(
ConnRecord, "retrieve_request", autospec=True
):
mock_conn_retrieve_by_invitation_key.return_value = record
conn_rec = await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=TestConfig.test_verkey,
my_endpoint=None,
alias=None,
auto_accept_implicit=None,
mediation_id=mediation_record.mediation_id,
)
assert len(self.responder.messages) == 1
message, target = self.responder.messages[0]
assert isinstance(message, KeylistUpdate)
assert len(message.updates) == 1
(remove,) = message.updates
assert remove.action == KeylistUpdateRule.RULE_REMOVE
assert remove.recipient_key == record.invitation_key
async def test_receive_request_with_mediator_without_multi_use_multitenant_mismatch(
self,
):
multiuse_info = await self.session.wallet.create_local_did()
did_doc_dict = self.make_did_doc(
did=TestConfig.test_target_did,
verkey=TestConfig.test_target_verkey,
).serialize()
del did_doc_dict["authentication"]
del did_doc_dict["service"]
new_info = await self.session.wallet.create_local_did()
mock_request = async_mock.MagicMock()
mock_request.connection = async_mock.MagicMock(
is_multiuse_invitation=False, invitation_key=multiuse_info.verkey
)
mock_request.connection.did = TestConfig.test_did
mock_request.connection.did_doc = async_mock.MagicMock()
mock_request.connection.did_doc.did = TestConfig.test_did
mock_request.did_doc_attach = async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(return_value=json.dumps(did_doc_dict))
),
)
)
await self.session.wallet.create_local_did(seed=None, did=TestConfig.test_did)
mediation_record = MediationRecord(
role=MediationRecord.ROLE_CLIENT,
state=MediationRecord.STATE_GRANTED,
connection_id=self.test_mediator_conn_id,
routing_keys=self.test_mediator_routing_keys,
endpoint=self.test_mediator_endpoint,
)
await mediation_record.save(self.session)
record = ConnRecord(
invitation_key=TestConfig.test_verkey,
their_label="Hello",
their_role=ConnRecord.Role.RESPONDER.rfc160,
alias="Bob",
)
record.accept = ConnRecord.ACCEPT_MANUAL
await record.save(self.session)
with async_mock.patch.object(
ConnRecord, "save", autospec=True
) as mock_conn_rec_save, async_mock.patch.object(
ConnRecord, "attach_request", autospec=True
) as mock_conn_attach_request, async_mock.patch.object(
ConnRecord, "retrieve_by_invitation_key"
) as mock_conn_retrieve_by_invitation_key, async_mock.patch.object(
ConnRecord, "retrieve_request", autospec=True
):
mock_conn_retrieve_by_invitation_key.return_value = record
with self.assertRaises(DIDXManagerError) as context:
conn_rec = await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=TestConfig.test_verkey,
my_endpoint=None,
alias=None,
auto_accept_implicit=None,
mediation_id=mediation_record.mediation_id,
)
assert "does not match" in str(context.exception)
async def test_receive_request_public_did_no_did_doc_attachment(self):
mock_request = async_mock.MagicMock(
did=TestConfig.test_did,
did_doc_attach=None,
_thread=async_mock.MagicMock(pthid="did:sov:publicdid0000000000000"),
)
await self.session.wallet.create_local_did(seed=None, did=TestConfig.test_did)
self.session.context.update_settings({"public_invites": True})
mock_conn_rec_state_request = ConnRecord.State.REQUEST
with async_mock.patch.object(
test_module, "ConnRecord", async_mock.MagicMock()
) as mock_conn_rec_cls, async_mock.patch.object(
test_module, "DIDPosture", autospec=True
) as mock_did_posture:
mock_conn_record = async_mock.MagicMock(
accept=ConnRecord.ACCEPT_MANUAL,
my_did=None,
state=mock_conn_rec_state_request.rfc23,
attach_request=async_mock.CoroutineMock(),
retrieve_request=async_mock.CoroutineMock(),
metadata_get_all=async_mock.CoroutineMock(return_value={}),
save=async_mock.CoroutineMock(),
)
mock_conn_rec_cls.return_value = mock_conn_record
mock_conn_rec_cls.retrieve_by_invitation_key = async_mock.CoroutineMock(
return_value=mock_conn_record
)
mock_did_posture.get = async_mock.MagicMock(
return_value=test_module.DIDPosture.PUBLIC
)
with self.assertRaises(DIDXManagerError) as context:
await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=None,
my_endpoint=TestConfig.test_endpoint,
alias="Alias",
auto_accept_implicit=None,
mediation_id=None,
)
assert "DID Doc attachment missing or has no data" in str(context.exception)
async def test_receive_request_public_did_x_not_public(self):
mock_request = async_mock.MagicMock(
did=TestConfig.test_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(return_value="dummy-did-doc")
),
)
),
_thread=async_mock.MagicMock(pthid="did:sov:publicdid0000000000000"),
)
await self.session.wallet.create_local_did(seed=None, did=TestConfig.test_did)
self.session.context.update_settings({"public_invites": True})
mock_conn_rec_state_request = ConnRecord.State.REQUEST
with async_mock.patch.object(
test_module, "DIDPosture", autospec=True
) as mock_did_posture:
mock_did_posture.get = async_mock.MagicMock(
return_value=test_module.DIDPosture.WALLET_ONLY
)
with self.assertRaises(DIDXManagerError) as context:
await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=None,
my_endpoint=TestConfig.test_endpoint,
alias="Alias",
auto_accept_implicit=False,
mediation_id=None,
)
assert "is not public" in str(context.exception)
async def test_receive_request_public_did_x_wrong_did(self):
mock_request = async_mock.MagicMock(
did=TestConfig.test_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(return_value="dummy-did-doc")
),
)
),
_thread=async_mock.MagicMock(pthid="did:sov:publicdid0000000000000"),
)
await self.session.wallet.create_local_did(seed=None, did=TestConfig.test_did)
self.session.context.update_settings({"public_invites": True})
mock_conn_rec_state_request = ConnRecord.State.REQUEST
with async_mock.patch.object(
test_module, "ConnRecord", async_mock.MagicMock()
) as mock_conn_rec_cls, async_mock.patch.object(
test_module, "DIDPosture", autospec=True
) as mock_did_posture, async_mock.patch.object(
test_module.DIDDoc, "from_json", async_mock.MagicMock()
) as mock_did_doc_from_json:
mock_conn_record = async_mock.MagicMock(
accept=ConnRecord.ACCEPT_MANUAL,
my_did=None,
state=mock_conn_rec_state_request.rfc23,
attach_request=async_mock.CoroutineMock(),
retrieve_request=async_mock.CoroutineMock(),
metadata_get_all=async_mock.CoroutineMock(return_value={}),
save=async_mock.CoroutineMock(),
)
mock_conn_rec_cls.return_value = mock_conn_record
mock_conn_rec_cls.retrieve_by_invitation_key = async_mock.CoroutineMock(
return_value=mock_conn_record
)
mock_did_doc_from_json.return_value = async_mock.MagicMock(did="wrong-did")
mock_did_posture.get = async_mock.MagicMock(
return_value=test_module.DIDPosture.PUBLIC
)
with self.assertRaises(DIDXManagerError) as context:
await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=None,
my_endpoint=TestConfig.test_endpoint,
alias="Alias",
auto_accept_implicit=False,
mediation_id=None,
)
assert "does not match" in str(context.exception)
async def test_receive_request_public_did_x_did_doc_attach_bad_sig(self):
mock_request = async_mock.MagicMock(
did=TestConfig.test_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=False)
)
),
_thread=async_mock.MagicMock(pthid="did:sov:publicdid0000000000000"),
)
await self.session.wallet.create_local_did(seed=None, did=TestConfig.test_did)
self.session.context.update_settings({"public_invites": True})
mock_conn_rec_state_request = ConnRecord.State.REQUEST
with async_mock.patch.object(
test_module, "ConnRecord", async_mock.MagicMock()
) as mock_conn_rec_cls, async_mock.patch.object(
test_module, "DIDPosture", autospec=True
) as mock_did_posture:
mock_conn_record = async_mock.MagicMock(
accept=ConnRecord.ACCEPT_MANUAL,
my_did=None,
state=mock_conn_rec_state_request.rfc23,
attach_request=async_mock.CoroutineMock(),
retrieve_request=async_mock.CoroutineMock(),
metadata_get_all=async_mock.CoroutineMock(return_value={}),
save=async_mock.CoroutineMock(),
)
mock_conn_rec_cls.return_value = mock_conn_record
mock_conn_rec_cls.retrieve_by_invitation_key = async_mock.CoroutineMock(
return_value=mock_conn_record
)
mock_did_posture.get = async_mock.MagicMock(
return_value=test_module.DIDPosture.PUBLIC
)
with self.assertRaises(DIDXManagerError) as context:
await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=None,
my_endpoint=TestConfig.test_endpoint,
alias="Alias",
auto_accept_implicit=False,
mediation_id=None,
)
assert "DID Doc signature failed" in str(context.exception)
async def test_receive_request_public_did_no_public_invites(self):
mock_request = async_mock.MagicMock(
did=TestConfig.test_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(return_value="dummy-did-doc")
),
)
),
_thread=async_mock.MagicMock(pthid="did:sov:publicdid0000000000000"),
)
await self.session.wallet.create_local_did(seed=None, did=TestConfig.test_did)
self.session.context.update_settings({"public_invites": False})
with async_mock.patch.object(
test_module, "ConnRecord", async_mock.MagicMock()
) as mock_conn_rec_cls, async_mock.patch.object(
test_module, "AttachDecorator", autospec=True
) as mock_attach_deco, async_mock.patch.object(
test_module, "DIDXResponse", autospec=True
) as mock_response, async_mock.patch.object(
self.manager, "create_did_document", async_mock.CoroutineMock()
) as mock_create_did_doc, async_mock.patch.object(
test_module.DIDDoc, "from_json", async_mock.MagicMock()
) as mock_did_doc_from_json:
mock_did_doc_from_json.return_value = async_mock.MagicMock(
did=TestConfig.test_did
)
with self.assertRaises(DIDXManagerError) as context:
await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=None,
my_endpoint=TestConfig.test_endpoint,
alias="Alias",
auto_accept_implicit=False,
mediation_id=None,
)
assert "Public invitations are not enabled" in str(context.exception)
async def test_receive_request_public_did_no_auto_accept(self):
mock_request = async_mock.MagicMock(
did=TestConfig.test_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(return_value="dummy-did-doc")
),
)
),
_thread=async_mock.MagicMock(pthid="did:sov:publicdid0000000000000"),
)
await self.session.wallet.create_local_did(seed=None, did=TestConfig.test_did)
self.session.context.update_settings(
{"public_invites": True, "debug.auto_accept_requests": False}
)
mock_conn_rec_state_request = ConnRecord.State.REQUEST
with async_mock.patch.object(
test_module, "ConnRecord", async_mock.MagicMock()
) as mock_conn_rec_cls, async_mock.patch.object(
test_module, "DIDDoc", autospec=True
) as mock_did_doc, async_mock.patch.object(
test_module, "DIDPosture", autospec=True
) as mock_did_posture, async_mock.patch.object(
test_module, "AttachDecorator", autospec=True
) as mock_attach_deco, async_mock.patch.object(
test_module, "DIDXResponse", autospec=True
) as mock_response, async_mock.patch.object(
self.manager, "create_did_document", async_mock.CoroutineMock()
) as mock_create_did_doc:
mock_conn_record = async_mock.MagicMock(
accept=ConnRecord.ACCEPT_MANUAL,
my_did=None,
state=mock_conn_rec_state_request.rfc23,
attach_request=async_mock.CoroutineMock(),
retrieve_request=async_mock.CoroutineMock(),
metadata_get_all=async_mock.CoroutineMock(return_value={}),
save=async_mock.CoroutineMock(),
)
mock_conn_rec_cls.return_value = mock_conn_record
mock_conn_rec_cls.retrieve_by_invitation_key = async_mock.CoroutineMock(
return_value=mock_conn_record
)
mock_did_posture.get = async_mock.MagicMock(
return_value=test_module.DIDPosture.PUBLIC
)
mock_did_doc.from_json = async_mock.MagicMock(
return_value=async_mock.MagicMock(did=TestConfig.test_did)
)
conn_rec = await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=None,
my_endpoint=TestConfig.test_endpoint,
alias="Alias",
auto_accept_implicit=False,
mediation_id=None,
)
assert conn_rec
messages = self.responder.messages
assert not messages
async def test_receive_request_peer_did(self):
mock_request = async_mock.MagicMock(
did=TestConfig.test_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(return_value="dummy-did-doc")
),
)
),
_thread=async_mock.MagicMock(pthid="dummy-pthid"),
)
mock_conn = async_mock.MagicMock(
my_did=TestConfig.test_did,
their_did=TestConfig.test_target_did,
invitation_key=TestConfig.test_verkey,
connection_id="dummy",
is_multiuse_invitation=True,
state=ConnRecord.State.INVITATION.rfc23,
their_role=ConnRecord.Role.REQUESTER.rfc23,
save=async_mock.CoroutineMock(),
attach_request=async_mock.CoroutineMock(),
accept=ConnRecord.ACCEPT_MANUAL,
metadata_get_all=async_mock.CoroutineMock(return_value={"test": "value"}),
)
mock_conn_rec_state_request = ConnRecord.State.REQUEST
await self.session.wallet.create_local_did(seed=None, did=TestConfig.test_did)
self.session.context.update_settings({"public_invites": True})
with async_mock.patch.object(
test_module, "ConnRecord", async_mock.MagicMock()
) as mock_conn_rec_cls, async_mock.patch.object(
test_module, "DIDDoc", autospec=True
) as mock_did_doc, async_mock.patch.object(
test_module, "AttachDecorator", autospec=True
) as mock_attach_deco, async_mock.patch.object(
test_module, "DIDXResponse", autospec=True
) as mock_response:
mock_conn_rec_cls.retrieve_by_invitation_key = async_mock.CoroutineMock(
return_value=mock_conn
)
mock_conn_rec_cls.return_value = async_mock.MagicMock(
accept=ConnRecord.ACCEPT_AUTO,
my_did=None,
state=mock_conn_rec_state_request.rfc23,
attach_request=async_mock.CoroutineMock(),
retrieve_request=async_mock.CoroutineMock(),
save=async_mock.CoroutineMock(),
metadata_set=async_mock.CoroutineMock(),
)
mock_did_doc.from_json = async_mock.MagicMock(
return_value=async_mock.MagicMock(did=TestConfig.test_did)
)
mock_attach_deco.from_indy_dict = async_mock.MagicMock(
return_value=async_mock.MagicMock(
data=async_mock.MagicMock(sign=async_mock.CoroutineMock())
)
)
mock_response.return_value = async_mock.MagicMock(
assign_thread_from=async_mock.MagicMock(),
assign_trace_from=async_mock.MagicMock(),
)
conn_rec = await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=TestConfig.test_verkey,
my_endpoint=TestConfig.test_endpoint,
alias="Alias",
auto_accept_implicit=False,
mediation_id=None,
)
assert conn_rec
mock_conn_rec_cls.return_value.metadata_set.assert_called()
assert not self.responder.messages
async def test_receive_request_multiuse_multitenant(self):
multiuse_info = await self.session.wallet.create_local_did()
new_info = await self.session.wallet.create_local_did()
mock_request = async_mock.MagicMock(
did=TestConfig.test_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(return_value="dummy-did-doc")
),
)
),
_thread=async_mock.MagicMock(pthid="dummy-pthid"),
)
self.context.update_settings(
{"wallet.id": "test_wallet", "multitenant.enabled": True}
)
ACCEPT_MANUAL = ConnRecord.ACCEPT_MANUAL
with async_mock.patch.object(
test_module, "ConnRecord", autospec=True
) as mock_conn_rec_cls, async_mock.patch.object(
InMemoryWallet, "create_local_did", autospec=True
) as mock_wallet_create_local_did, async_mock.patch.object(
test_module, "DIDDoc", autospec=True
) as mock_did_doc:
mock_conn_rec = async_mock.CoroutineMock(
connection_id="dummy",
accept=ACCEPT_MANUAL,
is_multiuse_invitation=True,
attach_request=async_mock.CoroutineMock(),
save=async_mock.CoroutineMock(),
retrieve_invitation=async_mock.CoroutineMock(return_value={}),
metadata_get_all=async_mock.CoroutineMock(return_value={}),
retrieve_request=async_mock.CoroutineMock(),
)
mock_conn_rec_cls.return_value = mock_conn_rec
mock_conn_rec_cls.retrieve_by_invitation_key = async_mock.CoroutineMock(
return_value=mock_conn_rec
)
mock_wallet_create_local_did.return_value = DIDInfo(
new_info.did, new_info.verkey, None
)
mock_did_doc.from_json = async_mock.MagicMock(
return_value=async_mock.MagicMock(did=TestConfig.test_did)
)
await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=TestConfig.test_verkey,
my_endpoint=TestConfig.test_endpoint,
alias="Alias",
auto_accept_implicit=False,
mediation_id=None,
)
self.multitenant_mgr.add_key.assert_called_once_with(
"test_wallet", new_info.verkey
)
async def test_receive_request_implicit_multitenant(self):
new_info = await self.session.wallet.create_local_did()
mock_request = async_mock.MagicMock(
did=TestConfig.test_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(return_value="dummy-did-doc")
),
)
),
_thread=async_mock.MagicMock(pthid="did:sov:publicdid0000000000000"),
)
self.context.update_settings(
{
"wallet.id": "test_wallet",
"multitenant.enabled": True,
"public_invites": True,
"debug.auto_accept_requests": False,
}
)
ACCEPT_MANUAL = ConnRecord.ACCEPT_MANUAL
with async_mock.patch.object(
test_module, "ConnRecord", autospec=True
) as mock_conn_rec_cls, async_mock.patch.object(
InMemoryWallet, "create_local_did", autospec=True
) as mock_wallet_create_local_did, async_mock.patch.object(
InMemoryWallet, "get_local_did", autospec=True
) as mock_wallet_get_local_did, async_mock.patch.object(
test_module, "DIDPosture", autospec=True
) as mock_did_posture, async_mock.patch.object(
test_module, "DIDDoc", autospec=True
) as mock_did_doc:
mock_conn_rec = async_mock.CoroutineMock(
connection_id="dummy",
accept=ACCEPT_MANUAL,
is_multiuse_invitation=False,
attach_request=async_mock.CoroutineMock(),
save=async_mock.CoroutineMock(),
retrieve_invitation=async_mock.CoroutineMock(return_value={}),
metadata_get_all=async_mock.CoroutineMock(return_value={}),
retrieve_request=async_mock.CoroutineMock(),
)
mock_conn_rec_cls.return_value = mock_conn_rec
mock_conn_rec_cls.retrieve_by_invitation_key = async_mock.CoroutineMock(
side_effect=StorageNotFoundError()
)
mock_did_posture.get = async_mock.MagicMock(
return_value=test_module.DIDPosture.PUBLIC
)
mock_wallet_create_local_did.return_value = DIDInfo(
new_info.did, new_info.verkey, None
)
mock_did_doc.from_json = async_mock.MagicMock(
return_value=async_mock.MagicMock(did=TestConfig.test_did)
)
mock_wallet_get_local_did.return_value = DIDInfo(
TestConfig.test_did, TestConfig.test_verkey, None
)
await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=None,
my_endpoint=TestConfig.test_endpoint,
alias="Alias",
auto_accept_implicit=False,
mediation_id=None,
)
self.multitenant_mgr.add_key.assert_called_once_with(
"test_wallet", new_info.verkey
)
async def test_receive_request_peer_did_not_found_x(self):
mock_request = async_mock.MagicMock(
did=TestConfig.test_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(return_value="dummy-did-doc")
),
)
),
_thread=async_mock.MagicMock(pthid="dummy-pthid"),
)
await self.session.wallet.create_local_did(seed=None, did=TestConfig.test_did)
with async_mock.patch.object(
test_module, "ConnRecord", async_mock.MagicMock()
) as mock_conn_rec_cls:
mock_conn_rec_cls.retrieve_by_invitation_key = async_mock.CoroutineMock(
side_effect=StorageNotFoundError()
)
with self.assertRaises(DIDXManagerError):
await self.manager.receive_request(
request=mock_request,
recipient_did=TestConfig.test_did,
recipient_verkey=TestConfig.test_verkey,
my_endpoint=TestConfig.test_endpoint,
alias="Alias",
auto_accept_implicit=False,
mediation_id=None,
)
async def test_create_response(self):
conn_rec = ConnRecord(
connection_id="dummy", state=ConnRecord.State.REQUEST.rfc23
)
with async_mock.patch.object(
test_module.ConnRecord, "retrieve_request", async_mock.CoroutineMock()
) as mock_retrieve_req, async_mock.patch.object(
conn_rec, "save", async_mock.CoroutineMock()
) as mock_save, async_mock.patch.object(
test_module, "DIDDoc", autospec=True
) as mock_did_doc, async_mock.patch.object(
test_module, "AttachDecorator", autospec=True
) as mock_attach_deco, async_mock.patch.object(
test_module, "DIDXResponse", autospec=True
) as mock_response, async_mock.patch.object(
self.manager, "create_did_document", async_mock.CoroutineMock()
) as mock_create_did_doc:
mock_create_did_doc.return_value = async_mock.MagicMock(
serialize=async_mock.MagicMock()
)
mock_attach_deco.from_indy_dict = async_mock.MagicMock(
return_value=async_mock.MagicMock(
data=async_mock.MagicMock(sign=async_mock.CoroutineMock())
)
)
await self.manager.create_response(conn_rec, "http://10.20.30.40:5060/")
async def test_create_response_mediation_id(self):
mediation_record = MediationRecord(
role=MediationRecord.ROLE_CLIENT,
state=MediationRecord.STATE_GRANTED,
connection_id=self.test_mediator_conn_id,
routing_keys=self.test_mediator_routing_keys,
endpoint=self.test_mediator_endpoint,
)
await mediation_record.save(self.session)
invi = InvitationMessage(
comment="test",
handshake_protocols=[
pfx.qualify(HSProto.RFC23.name) for pfx in DIDCommPrefix
],
service_dids=[TestConfig.test_did],
)
record = ConnRecord(
invitation_key=TestConfig.test_verkey,
invitation_msg_id=invi._id,
their_label="Hello",
their_role=ConnRecord.Role.RESPONDER.rfc160,
alias="Bob",
my_did=None,
state=ConnRecord.State.REQUEST.rfc23,
)
await record.save(self.session)
await record.attach_invitation(self.session, invi)
with async_mock.patch.object(
ConnRecord, "log_state", autospec=True
) as mock_conn_log_state, async_mock.patch.object(
ConnRecord, "retrieve_request", autospec=True
) as mock_conn_retrieve_request, async_mock.patch.object(
ConnRecord, "save", autospec=True
) as mock_conn_save, async_mock.patch.object(
record, "metadata_get", async_mock.CoroutineMock(return_value=False)
), async_mock.patch.object(
test_module, "AttachDecorator", autospec=True
) as mock_attach_deco:
mock_attach_deco.from_indy_dict = async_mock.MagicMock(
return_value=async_mock.MagicMock(
data=async_mock.MagicMock(sign=async_mock.CoroutineMock())
)
)
await self.manager.create_response(
record, mediation_id=mediation_record.mediation_id
)
assert len(self.responder.messages) == 1
message, target = self.responder.messages[0]
assert isinstance(message, KeylistUpdate)
assert len(message.updates) == 1
(add,) = message.updates
assert add.action == KeylistUpdateRule.RULE_ADD
assert add.recipient_key
async def test_create_response_mediation_id_invalid_conn_state(self):
mediation_record = MediationRecord(
role=MediationRecord.ROLE_CLIENT,
state=MediationRecord.STATE_GRANTED,
connection_id=self.test_mediator_conn_id,
routing_keys=self.test_mediator_routing_keys,
endpoint=self.test_mediator_endpoint,
)
await mediation_record.save(self.session)
invi = InvitationMessage(
comment="test",
handshake_protocols=[
pfx.qualify(HSProto.RFC23.name) for pfx in DIDCommPrefix
],
service_dids=[TestConfig.test_did],
)
record = ConnRecord(
invitation_key=TestConfig.test_verkey,
invitation_msg_id=invi._id,
their_label="Hello",
their_role=ConnRecord.Role.RESPONDER.rfc160,
alias="Bob",
my_did=None,
)
await record.save(self.session)
await record.attach_invitation(self.session, invi)
with async_mock.patch.object(
ConnRecord, "log_state", autospec=True
) as mock_conn_log_state, async_mock.patch.object(
ConnRecord, "retrieve_request", autospec=True
) as mock_conn_retrieve_request, async_mock.patch.object(
ConnRecord, "save", autospec=True
) as mock_conn_save, async_mock.patch.object(
record, "metadata_get", async_mock.CoroutineMock(return_value=False)
):
with self.assertRaises(DIDXManagerError) as context:
await self.manager.create_response(
record, mediation_id=mediation_record.mediation_id
)
assert "Connection not in state" in str(context.exception)
async def test_create_response_multitenant(self):
conn_rec = ConnRecord(
connection_id="dummy", state=ConnRecord.State.REQUEST.rfc23
)
self.manager.session.context.update_settings(
{
"multitenant.enabled": True,
"wallet.id": "test_wallet",
}
)
with async_mock.patch.object(
test_module.ConnRecord, "retrieve_request"
), async_mock.patch.object(
conn_rec, "save", async_mock.CoroutineMock()
), async_mock.patch.object(
test_module, "AttachDecorator", autospec=True
) as mock_attach_deco, async_mock.patch.object(
self.manager, "create_did_document", async_mock.CoroutineMock()
) as mock_create_did_doc, async_mock.patch.object(
InMemoryWallet, "create_local_did", autospec=True
) as mock_wallet_create_local_did:
mock_wallet_create_local_did.return_value = DIDInfo(
TestConfig.test_did, TestConfig.test_verkey, None
)
mock_create_did_doc.return_value = async_mock.MagicMock(
serialize=async_mock.MagicMock()
)
mock_attach_deco.from_indy_dict = async_mock.MagicMock(
return_value=async_mock.MagicMock(
data=async_mock.MagicMock(sign=async_mock.CoroutineMock())
)
)
await self.manager.create_response(conn_rec)
self.multitenant_mgr.add_key.assert_called_once_with(
"test_wallet", TestConfig.test_verkey
)
async def test_create_response_conn_rec_my_did(self):
conn_rec = ConnRecord(
connection_id="dummy",
my_did=TestConfig.test_did,
state=ConnRecord.State.REQUEST.rfc23,
)
with async_mock.patch.object(
test_module.ConnRecord, "retrieve_request", async_mock.CoroutineMock()
) as mock_retrieve_req, async_mock.patch.object(
conn_rec, "save", async_mock.CoroutineMock()
) as mock_save, async_mock.patch.object(
test_module, "DIDDoc", autospec=True
) as mock_did_doc, async_mock.patch.object(
test_module, "AttachDecorator", autospec=True
) as mock_attach_deco, async_mock.patch.object(
test_module, "DIDXResponse", autospec=True
) as mock_response, async_mock.patch.object(
self.manager, "create_did_document", async_mock.CoroutineMock()
) as mock_create_did_doc, async_mock.patch.object(
InMemoryWallet, "get_local_did", async_mock.CoroutineMock()
) as mock_get_loc_did:
mock_get_loc_did.return_value = self.did_info
mock_create_did_doc.return_value = async_mock.MagicMock(
serialize=async_mock.MagicMock()
)
mock_attach_deco.from_indy_dict = async_mock.MagicMock(
return_value=async_mock.MagicMock(
data=async_mock.MagicMock(sign=async_mock.CoroutineMock())
)
)
await self.manager.create_response(conn_rec, "http://10.20.30.40:5060/")
async def test_create_response_bad_state(self):
with self.assertRaises(DIDXManagerError):
await self.manager.create_response(
ConnRecord(
invitation_key=TestConfig.test_verkey,
their_label="Hello",
their_role=ConnRecord.Role.REQUESTER.rfc23,
state=ConnRecord.State.ABANDONED.rfc23,
alias="Bob",
)
)
async def test_accept_response_find_by_thread_id(self):
mock_response = async_mock.MagicMock()
mock_response._thread = async_mock.MagicMock()
mock_response.did = TestConfig.test_target_did
mock_response.did_doc_attach = async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(
return_value=json.dumps({"dummy": "did-doc"})
)
),
)
)
receipt = MessageReceipt(
recipient_did=TestConfig.test_did,
recipient_did_public=True,
)
with async_mock.patch.object(
ConnRecord, "save", autospec=True
) as mock_conn_rec_save, async_mock.patch.object(
ConnRecord, "retrieve_by_request_id", async_mock.CoroutineMock()
) as mock_conn_retrieve_by_req_id, async_mock.patch.object(
ConnRecord, "retrieve_by_id", async_mock.CoroutineMock()
) as mock_conn_retrieve_by_id, async_mock.patch.object(
DIDDoc, "deserialize", async_mock.MagicMock()
) as mock_did_doc_deser:
mock_did_doc_deser.return_value = async_mock.MagicMock(
did=TestConfig.test_target_did
)
mock_conn_retrieve_by_req_id.return_value = async_mock.MagicMock(
did=TestConfig.test_target_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(
return_value=json.dumps({"dummy": "did-doc"})
)
),
)
),
state=ConnRecord.State.REQUEST.rfc23,
save=async_mock.CoroutineMock(),
metadata_get=async_mock.CoroutineMock(),
connection_id="test-conn-id",
)
mock_conn_retrieve_by_id.return_value = async_mock.MagicMock(
their_did=TestConfig.test_target_did,
save=async_mock.CoroutineMock(),
)
conn_rec = await self.manager.accept_response(mock_response, receipt)
assert conn_rec.their_did == TestConfig.test_target_did
assert ConnRecord.State.get(conn_rec.state) is ConnRecord.State.COMPLETED
async def test_accept_response_not_found_by_thread_id_receipt_has_sender_did(self):
mock_response = async_mock.MagicMock()
mock_response._thread = async_mock.MagicMock()
mock_response.did = TestConfig.test_target_did
mock_response.did_doc_attach = async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(
return_value=json.dumps({"dummy": "did-doc"})
)
),
)
)
receipt = MessageReceipt(sender_did=TestConfig.test_target_did)
with async_mock.patch.object(
ConnRecord, "save", autospec=True
) as mock_conn_rec_save, async_mock.patch.object(
ConnRecord, "retrieve_by_request_id", async_mock.CoroutineMock()
) as mock_conn_retrieve_by_req_id, async_mock.patch.object(
ConnRecord, "retrieve_by_did", async_mock.CoroutineMock()
) as mock_conn_retrieve_by_did, async_mock.patch.object(
DIDDoc, "deserialize", async_mock.MagicMock()
) as mock_did_doc_deser:
mock_did_doc_deser.return_value = async_mock.MagicMock(
did=TestConfig.test_target_did
)
mock_conn_retrieve_by_req_id.side_effect = StorageNotFoundError()
mock_conn_retrieve_by_did.return_value = async_mock.MagicMock(
did=TestConfig.test_target_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(
return_value=json.dumps({"dummy": "did-doc"})
)
),
)
),
state=ConnRecord.State.REQUEST.rfc23,
save=async_mock.CoroutineMock(),
metadata_get=async_mock.CoroutineMock(return_value=False),
connection_id="test-conn-id",
)
conn_rec = await self.manager.accept_response(mock_response, receipt)
assert conn_rec.their_did == TestConfig.test_target_did
assert ConnRecord.State.get(conn_rec.state) is ConnRecord.State.COMPLETED
async def test_accept_response_not_found_by_thread_id_nor_receipt_sender_did(self):
mock_response = async_mock.MagicMock()
mock_response._thread = async_mock.MagicMock()
mock_response.did = TestConfig.test_target_did
mock_response.did_doc_attach = async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(
return_value=json.dumps({"dummy": "did-doc"})
)
),
)
)
receipt = MessageReceipt(sender_did=TestConfig.test_target_did)
with async_mock.patch.object(
ConnRecord, "save", autospec=True
) as mock_conn_rec_save, async_mock.patch.object(
ConnRecord, "retrieve_by_request_id", async_mock.CoroutineMock()
) as mock_conn_retrieve_by_req_id, async_mock.patch.object(
ConnRecord, "retrieve_by_did", async_mock.CoroutineMock()
) as mock_conn_retrieve_by_did:
mock_conn_retrieve_by_req_id.side_effect = StorageNotFoundError()
mock_conn_retrieve_by_did.side_effect = StorageNotFoundError()
with self.assertRaises(DIDXManagerError):
await self.manager.accept_response(mock_response, receipt)
async def test_accept_response_find_by_thread_id_bad_state(self):
mock_response = async_mock.MagicMock()
mock_response._thread = async_mock.MagicMock()
mock_response.did = TestConfig.test_target_did
mock_response.did_doc_attach = async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(
return_value=json.dumps({"dummy": "did-doc"})
)
),
)
)
receipt = MessageReceipt(sender_did=TestConfig.test_target_did)
with async_mock.patch.object(
ConnRecord, "save", autospec=True
) as mock_conn_rec_save, async_mock.patch.object(
ConnRecord, "retrieve_by_request_id", async_mock.CoroutineMock()
) as mock_conn_retrieve_by_req_id:
mock_conn_retrieve_by_req_id.return_value = async_mock.MagicMock(
state=ConnRecord.State.ABANDONED.rfc23
)
with self.assertRaises(DIDXManagerError):
await self.manager.accept_response(mock_response, receipt)
async def test_accept_response_find_by_thread_id_no_did_doc_attached(self):
mock_response = async_mock.MagicMock()
mock_response._thread = async_mock.MagicMock()
mock_response.did = TestConfig.test_target_did
mock_response.did_doc_attach = None
receipt = MessageReceipt(sender_did=TestConfig.test_target_did)
with async_mock.patch.object(
ConnRecord, "save", autospec=True
) as mock_conn_rec_save, async_mock.patch.object(
ConnRecord, "retrieve_by_request_id", async_mock.CoroutineMock()
) as mock_conn_retrieve_by_req_id:
mock_conn_retrieve_by_req_id.return_value = async_mock.MagicMock(
did=TestConfig.test_target_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(
return_value=json.dumps({"dummy": "did-doc"})
)
),
)
),
state=ConnRecord.State.REQUEST.rfc23,
save=async_mock.CoroutineMock(),
)
with self.assertRaises(DIDXManagerError):
await self.manager.accept_response(mock_response, receipt)
async def test_accept_response_find_by_thread_id_did_mismatch(self):
mock_response = async_mock.MagicMock()
mock_response._thread = async_mock.MagicMock()
mock_response.did = TestConfig.test_target_did
mock_response.did_doc_attach = async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(
return_value=json.dumps({"dummy": "did-doc"})
)
),
)
)
receipt = MessageReceipt(sender_did=TestConfig.test_target_did)
with async_mock.patch.object(
ConnRecord, "save", autospec=True
) as mock_conn_rec_save, async_mock.patch.object(
ConnRecord, "retrieve_by_request_id", async_mock.CoroutineMock()
) as mock_conn_retrieve_by_req_id, async_mock.patch.object(
ConnRecord, "retrieve_by_id", async_mock.CoroutineMock()
) as mock_conn_retrieve_by_id, async_mock.patch.object(
DIDDoc, "deserialize", async_mock.MagicMock()
) as mock_did_doc_deser:
mock_did_doc_deser.return_value = async_mock.MagicMock(
did=TestConfig.test_did
)
mock_conn_retrieve_by_req_id.return_value = async_mock.MagicMock(
did=TestConfig.test_target_did,
did_doc_attach=async_mock.MagicMock(
data=async_mock.MagicMock(
verify=async_mock.CoroutineMock(return_value=True),
signed=async_mock.MagicMock(
decode=async_mock.MagicMock(
return_value=json.dumps({"dummy": "did-doc"})
)
),
)
),
state=ConnRecord.State.REQUEST.rfc23,
save=async_mock.CoroutineMock(),
)
mock_conn_retrieve_by_id.return_value = async_mock.MagicMock(
their_did=TestConfig.test_target_did,
save=async_mock.CoroutineMock(),
)
with self.assertRaises(DIDXManagerError):
await self.manager.accept_response(mock_response, receipt)
async def test_accept_complete(self):
mock_complete = async_mock.MagicMock()
receipt = MessageReceipt(sender_did=TestConfig.test_target_did)
with async_mock.patch.object(
ConnRecord, "retrieve_by_request_id", async_mock.CoroutineMock()
) as mock_conn_retrieve_by_req_id:
mock_conn_retrieve_by_req_id.return_value.save = async_mock.CoroutineMock()
conn_rec = await self.manager.accept_complete(mock_complete, receipt)
assert ConnRecord.State.get(conn_rec.state) is ConnRecord.State.COMPLETED
async def test_accept_complete_x_not_found(self):
mock_complete = async_mock.MagicMock()
receipt = MessageReceipt(sender_did=TestConfig.test_target_did)
with async_mock.patch.object(
ConnRecord, "retrieve_by_request_id", async_mock.CoroutineMock()
) as mock_conn_retrieve_by_req_id:
mock_conn_retrieve_by_req_id.side_effect = StorageNotFoundError()
with self.assertRaises(DIDXManagerError):
await self.manager.accept_complete(mock_complete, receipt)
async def test_create_did_document(self):
did_info = DIDInfo(
TestConfig.test_did,
TestConfig.test_verkey,
None,
)
mock_conn = async_mock.MagicMock(
connection_id="dummy",
inbound_connection_id=None,
their_did=TestConfig.test_target_did,
state=ConnRecord.State.COMPLETED.rfc23,
)
did_doc = self.make_did_doc(
did=TestConfig.test_target_did,
verkey=TestConfig.test_target_verkey,
)
for i in range(2): # first cover store-record, then update-value
await self.manager.store_did_document(did_doc)
with async_mock.patch.object(
ConnRecord, "retrieve_by_id", async_mock.CoroutineMock()
) as mock_conn_rec_retrieve_by_id:
mock_conn_rec_retrieve_by_id.return_value = mock_conn
did_doc = await self.manager.create_did_document(
did_info=did_info,
inbound_connection_id="dummy",
svc_endpoints=[TestConfig.test_endpoint],
)
async def test_create_did_document_not_completed(self):
did_info = DIDInfo(
TestConfig.test_did,
TestConfig.test_verkey,
None,
)
mock_conn = async_mock.MagicMock(
connection_id="dummy",
inbound_connection_id=None,
their_did=TestConfig.test_target_did,
state=ConnRecord.State.ABANDONED.rfc23,
)
with async_mock.patch.object(
ConnRecord, "retrieve_by_id", async_mock.CoroutineMock()
) as mock_conn_rec_retrieve_by_id:
mock_conn_rec_retrieve_by_id.return_value = mock_conn
with self.assertRaises(BaseConnectionManagerError):
await self.manager.create_did_document(
did_info=did_info,
inbound_connection_id="dummy",
svc_endpoints=[TestConfig.test_endpoint],
)
async def test_create_did_document_no_services(self):
did_info = DIDInfo(
TestConfig.test_did,
TestConfig.test_verkey,
None,
)
mock_conn = async_mock.MagicMock(
connection_id="dummy",
inbound_connection_id=None,
their_did=TestConfig.test_target_did,
state=ConnRecord.State.COMPLETED.rfc23,
)
x_did_doc = self.make_did_doc(
did=TestConfig.test_target_did, verkey=TestConfig.test_target_verkey
)
x_did_doc._service = {}
for i in range(2): # first cover store-record, then update-value
await self.manager.store_did_document(x_did_doc)
with async_mock.patch.object(
ConnRecord, "retrieve_by_id", async_mock.CoroutineMock()
) as mock_conn_rec_retrieve_by_id:
mock_conn_rec_retrieve_by_id.return_value = mock_conn
with self.assertRaises(BaseConnectionManagerError):
await self.manager.create_did_document(
did_info=did_info,
inbound_connection_id="dummy",
svc_endpoints=[TestConfig.test_endpoint],
)
async def test_create_did_document_no_service_endpoint(self):
did_info = DIDInfo(
TestConfig.test_did,
TestConfig.test_verkey,
None,
)
mock_conn = async_mock.MagicMock(
connection_id="dummy",
inbound_connection_id=None,
their_did=TestConfig.test_target_did,
state=ConnRecord.State.COMPLETED.rfc23,
)
x_did_doc = self.make_did_doc(
did=TestConfig.test_target_did, verkey=TestConfig.test_target_verkey
)
x_did_doc._service = {}
x_did_doc.set(
Service(TestConfig.test_target_did, "dummy", "IndyAgent", [], [], "", 0)
)
for i in range(2): # first cover store-record, then update-value
await self.manager.store_did_document(x_did_doc)
with async_mock.patch.object(
ConnRecord, "retrieve_by_id", async_mock.CoroutineMock()
) as mock_conn_rec_retrieve_by_id:
mock_conn_rec_retrieve_by_id.return_value = mock_conn
with self.assertRaises(BaseConnectionManagerError):
await self.manager.create_did_document(
did_info=did_info,
inbound_connection_id="dummy",
svc_endpoints=[TestConfig.test_endpoint],
)
async def test_create_did_document_no_service_recip_keys(self):
did_info = DIDInfo(
TestConfig.test_did,
TestConfig.test_verkey,
None,
)
mock_conn = async_mock.MagicMock(
connection_id="dummy",
inbound_connection_id=None,
their_did=TestConfig.test_target_did,
state=ConnRecord.State.COMPLETED.rfc23,
)
x_did_doc = self.make_did_doc(
did=TestConfig.test_target_did, verkey=TestConfig.test_target_verkey
)
x_did_doc._service = {}
x_did_doc.set(
Service(
TestConfig.test_target_did,
"dummy",
"IndyAgent",
[],
[],
TestConfig.test_endpoint,
0,
)
)
for i in range(2): # first cover store-record, then update-value
await self.manager.store_did_document(x_did_doc)
with async_mock.patch.object(
ConnRecord, "retrieve_by_id", async_mock.CoroutineMock()
) as mock_conn_rec_retrieve_by_id:
mock_conn_rec_retrieve_by_id.return_value = mock_conn
with self.assertRaises(BaseConnectionManagerError):
await self.manager.create_did_document(
did_info=did_info,
inbound_connection_id="dummy",
svc_endpoints=[TestConfig.test_endpoint],
)
async def test_did_key_storage(self):
did_info = DIDInfo(
TestConfig.test_did,
TestConfig.test_verkey,
None,
)
did_doc = self.make_did_doc(
did=TestConfig.test_target_did, verkey=TestConfig.test_target_verkey
)
await self.manager.add_key_for_did(
did=TestConfig.test_target_did, key=TestConfig.test_target_verkey
)
did = await self.manager.find_did_for_key(key=TestConfig.test_target_verkey)
assert did == TestConfig.test_target_did
await self.manager.remove_keys_for_did(TestConfig.test_target_did)
async def test_diddoc_connection_targets_diddoc(self):
did_doc = self.make_did_doc(
TestConfig.test_target_did,
TestConfig.test_target_verkey,
)
targets = self.manager.diddoc_connection_targets(
did_doc,
TestConfig.test_verkey,
)
assert isinstance(targets[0], ConnectionTarget)
async def test_diddoc_connection_targets_diddoc_underspecified(self):
with self.assertRaises(BaseConnectionManagerError):
self.manager.diddoc_connection_targets(None, TestConfig.test_verkey)
x_did_doc = DIDDoc(did=None)
with self.assertRaises(BaseConnectionManagerError):
self.manager.diddoc_connection_targets(x_did_doc, TestConfig.test_verkey)
x_did_doc = self.make_did_doc(
did=TestConfig.test_target_did, verkey=TestConfig.test_target_verkey
)
x_did_doc._service = {}
with self.assertRaises(BaseConnectionManagerError):
self.manager.diddoc_connection_targets(x_did_doc, TestConfig.test_verkey)
| 42.28438 | 88 | 0.621352 | 8,541 | 81,482 | 5.566561 | 0.036178 | 0.091999 | 0.090106 | 0.047114 | 0.909431 | 0.87988 | 0.856785 | 0.843492 | 0.828222 | 0.822606 | 0 | 0.005427 | 0.301195 | 81,482 | 1,926 | 89 | 42.306334 | 0.829557 | 0.002148 | 0 | 0.711472 | 0 | 0 | 0.04423 | 0.010123 | 0 | 0 | 0 | 0 | 0.041715 | 1 | 0.000579 | false | 0 | 0.017381 | 0 | 0.023175 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
bcfeb79854c17d1cd3179d679119c3050e9833a1 | 6,354 | py | Python | supports/integration-test/test_data_protection_1GB.py | ZVampirEM77/SSM | bdd383a66dc6c952c760758991c3b1880e19c893 | [
"Apache-2.0"
] | 2 | 2018-02-02T08:18:20.000Z | 2020-11-16T11:03:23.000Z | supports/integration-test/test_data_protection_1GB.py | ZVampirEM77/SSM | bdd383a66dc6c952c760758991c3b1880e19c893 | [
"Apache-2.0"
] | null | null | null | supports/integration-test/test_data_protection_1GB.py | ZVampirEM77/SSM | bdd383a66dc6c952c760758991c3b1880e19c893 | [
"Apache-2.0"
] | 1 | 2018-09-16T03:00:10.000Z | 2018-09-16T03:00:10.000Z | import unittest
from util import *
FILE_SIZE = 1024 * 1024 * 1024
class TestMoverProtection_1GB(unittest.TestCase):
def test_mover_allssd_read(self):
# cid_create = create_file("/testFile")
# print check_storage("/testFile")
# Test with 1 GB file
file_path = create_random_file(FILE_SIZE)
# Begin to move file
cmds = []
cmds.append(move_cmdlet("allssd", file_path))
# read the file
cmds.append(read_file(file_path))
failed = wait_for_cmdlets(cmds)
# check the statement of read
self.assertTrue(len(failed) == 0)
def test_mover_onessd_read(self):
# cid_create = create_file("/testFile")
# print check_storage("/testFile")
# Test with 1 GB file
file_path = create_random_file(FILE_SIZE)
# Begin to move file
cmds = []
cmds.append(move_cmdlet("onessd", file_path))
# read the file
cmds.append(read_file(file_path))
failed = wait_for_cmdlets(cmds)
# check the statement of read
self.assertTrue(len(failed) == 0)
def test_mover_archive_read(self):
# cid_create = create_file("/testFile")
# print check_storage("/testFile")
# Test with 1 GB file
file_path = create_random_file(FILE_SIZE)
# Begin to move file
cmds = []
cmds.append(move_cmdlet("archive", file_path))
# read the file
cmds.append(read_file(file_path))
failed = wait_for_cmdlets(cmds)
# check the statement of read
self.assertTrue(len(failed) == 0)
def test_mover_allssd_delete(self):
# cid_create = create_file("/testFile")
# print check_storage("/testFile")
# Test with 1 GB file
file_path = create_random_file(FILE_SIZE)
cmds = []
cmds.append(move_cmdlet("allssd", file_path))
check_storage(file_path)
# delete the file
cmds.append(delete_file(file_path))
failed = wait_for_cmdlets(cmds)
# check the statement of read
self.assertTrue(len(failed) == 0)
def test_mover_onessd_delete(self):
# cid_create = create_file("/testFile")
# print check_storage("/testFile")
# Test with 1 GB file
file_path = create_random_file(FILE_SIZE)
cmds = []
cmds.append(move_cmdlet("onessd", file_path))
check_storage(file_path)
# delete the file
cmds.append(delete_file(file_path))
failed = wait_for_cmdlets(cmds)
# check the statement of read
self.assertTrue(len(failed) == 0)
def test_mover_archive_delete(self):
# cid_create = create_file("/testFile")
# print check_storage("/testFile")
# Test with 1 GB file
file_path = create_random_file(FILE_SIZE)
cmds = []
cmds.append(move_cmdlet("archive", file_path))
check_storage(file_path)
# delete the file
cmds.append(delete_file(file_path))
failed = wait_for_cmdlets(cmds)
# check the statement of read
self.assertTrue(len(failed) == 0)
def test_mover_allssd_append(self):
# cid_create = create_file("/testFile")
# print check_storage("/testFile")
# Test with 1 GB file
file_path = create_random_file(FILE_SIZE)
cmds = []
cmds.append(move_cmdlet("allssd", file_path))
# append random content to current file
cmds.append(append_file(file_path,
random.randrange(1024, 1024 * 1024 * 2)))
failed = wait_for_cmdlets(cmds)
# check the statement of read
self.assertTrue(len(failed) == 0)
def test_mover_onessd_append(self):
# cid_create = create_file("/testFile")
# print check_storage("/testFile")
# Test with 1 GB file
file_path = create_random_file(FILE_SIZE)
cmds = []
cmds.append(move_cmdlet("onessd", file_path))
# append random content to current file
cmds.append(append_file(file_path,
random.randrange(1024, 1024 * 1024 * 2)))
failed = wait_for_cmdlets(cmds)
# check the statement of read
self.assertTrue(len(failed) == 0)
def test_mover_archive_append(self):
# cid_create = create_file("/testFile")
# print check_storage("/testFile")
# Test with 1 GB file
file_path = create_random_file(FILE_SIZE)
cmds = []
cmds.append(move_cmdlet("archive", file_path))
# append random content to current file
cmds.append(append_file(file_path,
random.randrange(1024, 1024 * 1024 * 2)))
failed = wait_for_cmdlets(cmds)
# check the statement of read
self.assertTrue(len(failed) == 0)
def test_mover_allssd_overwrite(self):
# cid_create = create_file("/testFile")
# print check_storage("/testFile")
# Test with 1 GB file
file_path = create_random_file(FILE_SIZE)
cmds = []
cmds.append(move_cmdlet("allssd", file_path))
# overwrite the file
cmds.append(create_file(file_path, 24 * 1024 * 1024))
failed = wait_for_cmdlets(cmds)
# check the statement of read
self.assertTrue(len(failed) == 0)
def test_mover_onessd_overwrite(self):
# cid_create = create_file("/testFile")
# print check_storage("/testFile")
# Test with 1 GB file
file_path = create_random_file(FILE_SIZE)
cmds = []
cmds.append(move_cmdlet("onessd", file_path))
# overwrite the file
cmds.append(create_file(file_path, 24 * 1024 * 1024))
failed = wait_for_cmdlets(cmds)
# check the statement of read
self.assertTrue(len(failed) == 0)
def test_mover_archive_overwrite(self):
# cid_create = create_file("/testFile")
# print check_storage("/testFile")
# Test with 1 GB file
file_path = create_random_file(FILE_SIZE)
cmds = []
cmds.append(move_cmdlet("archive", file_path))
# overwrite the file
cmds.append(create_file(file_path, 24 * 1024 * 1024))
failed = wait_for_cmdlets(cmds)
# check the statement of read
self.assertTrue(len(failed) == 0)
if __name__ == '__main__':
unittest.main()
| 35.696629 | 61 | 0.618351 | 788 | 6,354 | 4.722081 | 0.071066 | 0.083848 | 0.077399 | 0.061274 | 0.964794 | 0.964794 | 0.964794 | 0.964794 | 0.959688 | 0.959688 | 0 | 0.023246 | 0.282342 | 6,354 | 177 | 62 | 35.898305 | 0.792763 | 0.27463 | 0 | 0.8125 | 0 | 0 | 0.018482 | 0 | 0 | 0 | 0 | 0 | 0.125 | 1 | 0.125 | false | 0 | 0.020833 | 0 | 0.15625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
4c0ae028384d2a82d0e3f5262b2ad70797011485 | 137 | py | Python | components/micropython/modules/hackerhotel2019/update.py | badgeteam/Firmware | 6192b2902c70beb7a298a256d9087274d045fbc0 | [
"Apache-2.0"
] | 7 | 2019-02-11T10:02:14.000Z | 2019-08-02T00:08:45.000Z | components/micropython/modules/hackerhotel2019/update.py | badgeteam/Firmware | 6192b2902c70beb7a298a256d9087274d045fbc0 | [
"Apache-2.0"
] | 17 | 2019-01-05T18:02:11.000Z | 2019-03-09T21:46:43.000Z | components/micropython/modules/hackerhotel2019/update.py | badgeteam/Firmware | 6192b2902c70beb7a298a256d9087274d045fbc0 | [
"Apache-2.0"
] | 4 | 2019-02-15T16:03:20.000Z | 2019-06-27T22:23:24.000Z | print("deprecation warning: update.py will be removed soon: use dashboard.tools.update_apps instead")
import dashboard.tools.update_apps
| 45.666667 | 101 | 0.832117 | 20 | 137 | 5.6 | 0.75 | 0.25 | 0.357143 | 0.428571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.087591 | 137 | 2 | 102 | 68.5 | 0.896 | 0 | 0 | 0 | 0 | 0 | 0.671533 | 0.19708 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 9 |
4c2b3fee6231f249ca8901cb87876f8f6a00eace | 512 | py | Python | tests/Comments.py | yhu-insight/python-toolkit | e53b2b4a63b455ca88955f18a2c00512a6de494b | [
"Apache-2.0"
] | null | null | null | tests/Comments.py | yhu-insight/python-toolkit | e53b2b4a63b455ca88955f18a2c00512a6de494b | [
"Apache-2.0"
] | null | null | null | tests/Comments.py | yhu-insight/python-toolkit | e53b2b4a63b455ca88955f18a2c00512a6de494b | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Python Comments Example
# Author - yucheng.hu@insight.com
print("Hello, YuCheng!") # Python line comment
# Python line comment
print("Hello, YuCheng!")
# Python multiple line comment - LINE 1
# Python multiple line comment - LINE 2
print("Hello, YuCheng!")
'''
Python multiple line comment - LINE 1
Python multiple line comment - LINE 2
'''
print("Hello, YuCheng!")
"""
Python multiple line comment - LINE 1
Python multiple line comment - LINE 2
"""
print("Hello, YuCheng Hu!")
| 18.962963 | 47 | 0.697266 | 69 | 512 | 5.173913 | 0.26087 | 0.246499 | 0.302521 | 0.420168 | 0.694678 | 0.694678 | 0.694678 | 0.694678 | 0.694678 | 0.694678 | 0 | 0.016509 | 0.171875 | 512 | 26 | 48 | 19.692308 | 0.825472 | 0.376953 | 0 | 0.8 | 0 | 0 | 0.537931 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
4c2c506c1b67a8ba0d68d893feebb8ce4ab70c20 | 17,807 | py | Python | tests/engine/test_validation.py | Goxiaoy/rasa | 93d9983e465f7a426930a746fef1252cbb2f8f35 | [
"Apache-2.0"
] | 8 | 2020-09-16T17:22:13.000Z | 2022-02-01T00:11:30.000Z | tests/engine/test_validation.py | Goxiaoy/rasa | 93d9983e465f7a426930a746fef1252cbb2f8f35 | [
"Apache-2.0"
] | 216 | 2020-09-20T13:05:58.000Z | 2022-03-28T12:10:24.000Z | tests/engine/test_validation.py | Goxiaoy/rasa | 93d9983e465f7a426930a746fef1252cbb2f8f35 | [
"Apache-2.0"
] | 1 | 2022-02-01T18:23:23.000Z | 2022-02-01T18:23:23.000Z | from typing import Any, Dict, Text, Type, Optional, List
import pytest
from rasa.engine import validation
from rasa.engine.exceptions import GraphSchemaValidationException
from rasa.engine.graph import GraphComponent, ExecutionContext, GraphSchema, SchemaNode
from rasa.engine.storage.resource import Resource
from rasa.engine.storage.storage import ModelStorage
from rasa.shared.core.domain import Domain
from rasa.shared.nlu.training_data.training_data import TrainingData
class TestComponentWithoutRun(GraphComponent):
@classmethod
def create(
cls,
config: Dict[Text, Any],
model_storage: ModelStorage,
resource: Resource,
execution_context: ExecutionContext,
) -> GraphComponent:
return cls()
class TestComponentWithRun(TestComponentWithoutRun):
def run(self) -> TrainingData:
pass
def create_test_schema(
uses: Type, # The unspecified type is on purpose to enable testing of invalid cases
constructor_name: Text = "create",
run_fn: Text = "run",
needs: Optional[Dict[Text, Text]] = None,
eager: bool = True,
parent: Optional[Type[GraphComponent]] = None,
) -> GraphSchema:
parent_node = {}
if parent:
parent_node = {
"parent": SchemaNode(
needs={}, uses=parent, constructor_name="create", fn="run", config={}
)
}
# noinspection PyTypeChecker
return GraphSchema(
{
"my_node": SchemaNode(
needs=needs or {},
uses=uses,
eager=eager,
constructor_name=constructor_name,
fn=run_fn,
config={},
),
**parent_node,
}
)
def test_graph_component_is_no_graph_component():
class MyComponent:
def other(self) -> TrainingData:
pass
schema = create_test_schema(uses=MyComponent)
with pytest.raises(GraphSchemaValidationException, match="implement .+ interface"):
validation.validate(schema, language=None, is_train_graph=True)
def test_graph_component_fn_does_not_exist():
schema = create_test_schema(uses=TestComponentWithRun, run_fn="some_fn")
with pytest.raises(
GraphSchemaValidationException, match="specified method 'some_fn'"
):
validation.validate(schema, language=None, is_train_graph=True)
def test_graph_output_is_not_fingerprintable_int():
class MyComponent(TestComponentWithoutRun):
def run(self) -> int:
pass
schema = create_test_schema(uses=MyComponent)
with pytest.raises(GraphSchemaValidationException, match="fingerprintable"):
validation.validate(schema, language=None, is_train_graph=True)
def test_predict_graph_output_is_not_fingerprintable():
class MyComponent(TestComponentWithoutRun):
def run(self) -> int:
pass
schema = create_test_schema(uses=MyComponent)
validation.validate(schema, language=None, is_train_graph=False)
def test_graph_output_is_not_fingerprintable_any():
class MyComponent(TestComponentWithoutRun):
def run(self) -> Any:
pass
schema = create_test_schema(uses=MyComponent)
with pytest.raises(GraphSchemaValidationException, match="fingerprintable"):
validation.validate(schema, language=None, is_train_graph=True)
def test_graph_output_is_not_fingerprintable_None():
class MyComponent(TestComponentWithoutRun):
def run(self) -> None:
pass
schema = create_test_schema(uses=MyComponent,)
with pytest.raises(GraphSchemaValidationException, match="fingerprintable"):
validation.validate(schema, language=None, is_train_graph=True)
def test_graph_with_forward_referenced_output_type():
class MyComponent(TestComponentWithoutRun):
# The non imported type annotation is on purpose so we can provoke a error in
# the test
def run(self) -> "UserUttered": # noqa: F821
pass
schema = create_test_schema(uses=MyComponent)
with pytest.raises(GraphSchemaValidationException, match="forward reference"):
validation.validate(schema, language=None, is_train_graph=True)
def test_graph_output_missing_type_annotation():
class MyComponent(TestComponentWithoutRun):
def run(self):
pass
schema = create_test_schema(uses=MyComponent)
with pytest.raises(
GraphSchemaValidationException, match="does not have a type annotation"
):
validation.validate(schema, language=None, is_train_graph=True)
def test_graph_with_fingerprintable_output():
class MyComponent(TestComponentWithoutRun):
def run(self) -> TrainingData:
pass
schema = create_test_schema(uses=MyComponent)
validation.validate(schema, language=None, is_train_graph=True)
class MyTrainingData(TrainingData):
pass
def test_graph_with_fingerprintable_output_subclass():
class MyComponent(TestComponentWithoutRun):
def run(self) -> MyTrainingData:
pass
schema = create_test_schema(uses=MyComponent)
validation.validate(schema, language=None, is_train_graph=True)
def test_graph_constructor_missing():
class MyComponent(TestComponentWithoutRun):
def run(self) -> TrainingData:
pass
schema = create_test_schema(uses=MyComponent, constructor_name="invalid")
with pytest.raises(
GraphSchemaValidationException, match="specified method 'invalid'"
):
validation.validate(schema, language=None, is_train_graph=True)
def test_graph_constructor_config_wrong_type():
class MyComponent(TestComponentWithRun):
@classmethod
def create(
cls,
config: Dict[int, int],
model_storage: ModelStorage,
resource: Resource,
execution_context: ExecutionContext,
) -> GraphComponent:
pass
schema = create_test_schema(uses=MyComponent)
with pytest.raises(GraphSchemaValidationException, match="incompatible type"):
validation.validate(schema, language=None, is_train_graph=True)
def test_graph_constructor_resource_wrong_type():
class MyComponent(TestComponentWithRun):
@classmethod
def create(
cls,
config: Dict[Text, Any],
model_storage: ModelStorage,
resource: Dict,
execution_context: ExecutionContext,
) -> GraphComponent:
pass
schema = create_test_schema(uses=MyComponent)
with pytest.raises(GraphSchemaValidationException, match="incompatible type"):
validation.validate(schema, language=None, is_train_graph=True)
def test_graph_constructor_model_storage_wrong_type():
class MyComponent(TestComponentWithRun):
@classmethod
def create(
cls,
config: Dict[Text, Any],
model_storage: Any,
resource: Resource,
execution_context: ExecutionContext,
) -> GraphComponent:
pass
schema = create_test_schema(uses=MyComponent)
with pytest.raises(GraphSchemaValidationException, match="incompatible type"):
validation.validate(schema, language=None, is_train_graph=True)
def test_graph_constructor_execution_context_wrong_type():
class MyComponent(TestComponentWithRun):
@classmethod
def create(
cls,
config: Dict[Text, Any],
model_storage: ModelStorage,
resource: Resource,
execution_context: Any,
) -> GraphComponent:
pass
schema = create_test_schema(uses=MyComponent)
with pytest.raises(GraphSchemaValidationException, match="incompatible type"):
validation.validate(schema, language=None, is_train_graph=True)
@pytest.mark.parametrize(
"current_language, supported_languages",
[("de", ["en"]), ("en", ["zh", "fi"]), ("us", [])],
)
def test_graph_constructor_execution_not_supported_language(
current_language: Text, supported_languages: Optional[List[Text]]
):
class MyComponent(TestComponentWithRun):
@staticmethod
def supported_languages() -> Optional[List[Text]]:
return supported_languages
schema = create_test_schema(uses=MyComponent)
with pytest.raises(
GraphSchemaValidationException, match="does not support .* language"
):
validation.validate(schema, language=current_language, is_train_graph=False)
@pytest.mark.parametrize(
"current_language, supported_languages",
[(None, None), ("en", ["zh", "en"]), ("zh", None), (None, ["en"])],
)
def test_graph_constructor_execution_supported_language(
current_language: Optional[Text], supported_languages: Optional[List[Text]]
):
class MyComponent(TestComponentWithRun):
@staticmethod
def supported_languages() -> Optional[List[Text]]:
return supported_languages
schema = create_test_schema(uses=MyComponent)
validation.validate(schema, language=current_language, is_train_graph=False)
@pytest.mark.parametrize(
"required_packages", [["pytorch"], ["tensorflow", "kubernetes"]]
)
def test_graph_missing_package_requirements(required_packages: List[Text]):
class MyComponent(TestComponentWithRun):
@staticmethod
def required_packages() -> List[Text]:
"""Any extra python dependencies required for this component to run."""
return required_packages
schema = create_test_schema(uses=MyComponent)
with pytest.raises(GraphSchemaValidationException, match="not installed"):
validation.validate(schema, language=None, is_train_graph=True)
@pytest.mark.parametrize("required_packages", [["tensorflow"], ["tensorflow", "numpy"]])
def test_graph_satisfied_package_requirements(required_packages: List[Text]):
class MyComponent(TestComponentWithRun):
@staticmethod
def required_packages() -> List[Text]:
"""Any extra python dependencies required for this component to run."""
return required_packages
schema = create_test_schema(uses=MyComponent)
validation.validate(schema, language=None, is_train_graph=True)
def test_run_param_not_satisfied():
class MyComponent(TestComponentWithoutRun):
def run(self, some_param: TrainingData) -> TrainingData:
pass
schema = create_test_schema(uses=MyComponent)
with pytest.raises(GraphSchemaValidationException, match="needs the param"):
validation.validate(schema, language=None, is_train_graph=True)
def test_run_param_satifisfied_due_to_default():
class MyComponent(TestComponentWithoutRun):
def run(self, some_param: TrainingData = TrainingData()) -> TrainingData:
pass
schema = create_test_schema(uses=MyComponent)
validation.validate(schema, language=None, is_train_graph=True)
def test_too_many_supplied_params():
schema = create_test_schema(
uses=TestComponentWithRun, needs={"some_param": "parent"}
)
with pytest.raises(
GraphSchemaValidationException, match="does not accept a parameter"
):
validation.validate(
schema, language=None, is_train_graph=True,
)
def test_too_many_supplied_params_but_kwargs():
class MyComponent(TestComponentWithoutRun):
def run(self, **kwargs: Any) -> TrainingData:
pass
schema = create_test_schema(
uses=MyComponent, needs={"some_param": "parent"}, parent=TestComponentWithRun
)
validation.validate(schema, language=None, is_train_graph=True)
def test_run_fn_with_variable_length_positional_param():
class MyComponent(TestComponentWithoutRun):
def run(self, *args: Any, some_param: TrainingData) -> TrainingData:
pass
schema = create_test_schema(
uses=MyComponent, needs={"some_param": "parent"}, parent=TestComponentWithRun
)
validation.validate(schema, language=None, is_train_graph=True)
def test_matching_params_due_to_constructor():
class MyComponent(TestComponentWithRun):
@classmethod
def load(
cls,
config: Dict[Text, Any],
model_storage: ModelStorage,
resource: Resource,
execution_context: ExecutionContext,
some_param: TrainingData,
) -> GraphComponent:
pass
schema = create_test_schema(
uses=MyComponent,
needs={"some_param": "parent"},
eager=False,
constructor_name="load",
parent=TestComponentWithRun,
)
validation.validate(
schema, language=None, is_train_graph=True,
)
def test_matching_params_due_to_constructor_but_eager():
class MyComponent(TestComponentWithRun):
@classmethod
def load(
cls,
config: Dict[Text, Any],
model_storage: ModelStorage,
resource: Resource,
execution_context: ExecutionContext,
some_param: TrainingData,
) -> GraphComponent:
pass
schema = create_test_schema(
uses=MyComponent,
needs={"some_param": "parent"},
eager=True,
constructor_name="load",
)
with pytest.raises(GraphSchemaValidationException, match="lazy mode"):
validation.validate(
schema, language=None, is_train_graph=True,
)
@pytest.mark.parametrize(
"eager, error_message", [(True, "lazy mode"), (False, "needs the param")]
)
def test_unsatisfied_constructor(eager: bool, error_message: Text):
class MyComponent(TestComponentWithRun):
@classmethod
def load(
cls,
config: Dict[Text, Any],
model_storage: ModelStorage,
resource: Resource,
execution_context: ExecutionContext,
some_param: TrainingData,
) -> GraphComponent:
pass
schema = create_test_schema(uses=MyComponent, eager=eager, constructor_name="load",)
with pytest.raises(GraphSchemaValidationException, match=error_message):
validation.validate(
schema, language=None, is_train_graph=True,
)
def test_parent_supplying_wrong_type():
class MyUnreliableParent(TestComponentWithoutRun):
def run(self) -> Domain:
pass
class MyComponent(TestComponentWithoutRun):
def run(self, training_data: TrainingData) -> TrainingData:
pass
schema = create_test_schema(
uses=MyComponent, parent=MyUnreliableParent, needs={"training_data": "parent"},
)
with pytest.raises(GraphSchemaValidationException, match="type .* expected"):
validation.validate(schema, language=None, is_train_graph=True)
def test_parent_supplying_wrong_type_to_constructor():
class MyUnreliableParent(TestComponentWithoutRun):
def run(self) -> Domain:
pass
class MyComponent(TestComponentWithRun):
@classmethod
def load(
cls,
config: Dict[Text, Any],
model_storage: ModelStorage,
resource: Resource,
execution_context: ExecutionContext,
some_param: TrainingData,
) -> GraphComponent:
pass
schema = create_test_schema(
uses=MyComponent,
eager=False,
constructor_name="load",
parent=MyUnreliableParent,
needs={"some_param": "parent"},
)
with pytest.raises(GraphSchemaValidationException, match="type .* expected"):
validation.validate(schema, language=None, is_train_graph=True)
def test_parent_supplying_subtype():
class Parent(TestComponentWithoutRun):
def run(self) -> MyTrainingData:
pass
class MyComponent(TestComponentWithoutRun):
def run(self, training_data: TrainingData) -> TrainingData:
pass
schema = create_test_schema(
uses=MyComponent, parent=Parent, needs={"training_data": "parent"},
)
validation.validate(schema, language=None, is_train_graph=True)
def test_child_accepting_any_type_from_parent():
class Parent(TestComponentWithoutRun):
def run(self) -> MyTrainingData:
pass
class MyComponent(TestComponentWithoutRun):
def run(self, training_data: Any) -> TrainingData:
pass
schema = create_test_schema(
uses=MyComponent, parent=Parent, needs={"training_data": "parent"},
)
validation.validate(schema, language=None, is_train_graph=True)
@pytest.mark.parametrize("is_train_graph", [True, False])
def test_cycle(is_train_graph: bool):
class MyTestComponent(TestComponentWithoutRun):
def run(self, training_data: TrainingData) -> TrainingData:
pass
schema = GraphSchema(
{
"A": SchemaNode(
needs={"training_data": "B"},
uses=MyTestComponent,
eager=True,
constructor_name="create",
fn="run",
is_target=True,
config={},
),
"B": SchemaNode(
needs={"training_data": "C"},
uses=MyTestComponent,
eager=True,
constructor_name="create",
fn="run",
config={},
),
"C": SchemaNode(
needs={"training_data": "A"},
uses=MyTestComponent,
eager=True,
constructor_name="create",
fn="run",
config={},
),
}
)
with pytest.raises(GraphSchemaValidationException, match="Cycles"):
validation.validate(schema, language=None, is_train_graph=is_train_graph)
| 30.914931 | 88 | 0.66794 | 1,736 | 17,807 | 6.629608 | 0.103687 | 0.021288 | 0.036493 | 0.055609 | 0.809975 | 0.793727 | 0.742202 | 0.721088 | 0.704753 | 0.688505 | 0 | 0.000222 | 0.239793 | 17,807 | 575 | 89 | 30.968696 | 0.849967 | 0.018251 | 0 | 0.662791 | 0 | 0 | 0.05164 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.160465 | false | 0.074419 | 0.02093 | 0.006977 | 0.281395 | 0.02093 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
913bf785c951626aeaee4c3488e1f9f792d13864 | 97 | py | Python | challenges/repeated-word/conftest.py | jeremyCtown/data-structures-and-algorithms | d4ba8741f858fb5298f8ce560240373fb7742e20 | [
"MIT"
] | null | null | null | challenges/repeated-word/conftest.py | jeremyCtown/data-structures-and-algorithms | d4ba8741f858fb5298f8ce560240373fb7742e20 | [
"MIT"
] | null | null | null | challenges/repeated-word/conftest.py | jeremyCtown/data-structures-and-algorithms | d4ba8741f858fb5298f8ce560240373fb7742e20 | [
"MIT"
] | null | null | null | # from ../hash_table/hash_table import HashTable as ht
import pytest
def test_string():
pass | 19.4 | 54 | 0.752577 | 15 | 97 | 4.666667 | 0.8 | 0.257143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.164948 | 97 | 5 | 55 | 19.4 | 0.864198 | 0.536082 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 8 |
e6838fc696b11211ec070d0453b56350c7b98eeb | 194 | py | Python | ustart.py | SermetPekin/statsmodels | e8197d08db0672394404e52b335b4e393c67778d | [
"BSD-3-Clause"
] | null | null | null | ustart.py | SermetPekin/statsmodels | e8197d08db0672394404e52b335b4e393c67778d | [
"BSD-3-Clause"
] | null | null | null | ustart.py | SermetPekin/statsmodels | e8197d08db0672394404e52b335b4e393c67778d | [
"BSD-3-Clause"
] | null | null | null | import statsmodels as sm
import statsmodels.formula.api as smf
import scipy
print( scipy.__version__ )
print("everything is fine ")
print("statsmodels.formula.api {}".format( type( sm ) ))
| 19.4 | 58 | 0.742268 | 26 | 194 | 5.384615 | 0.576923 | 0.242857 | 0.3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.14433 | 194 | 9 | 59 | 21.555556 | 0.843373 | 0 | 0 | 0 | 0 | 0 | 0.237113 | 0.118557 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 7 |
e6c171a6d206eb9b0484f1dddd6ac17b0c142b12 | 14,004 | py | Python | test/geometry/test_homography.py | Ishticode/kornia | 974abb43ec72d12dbd244a2fb247bbbab8498de0 | [
"ECL-2.0",
"Apache-2.0"
] | 418 | 2018-10-02T22:31:36.000Z | 2019-01-16T14:15:45.000Z | test/geometry/test_homography.py | Ishticode/kornia | 974abb43ec72d12dbd244a2fb247bbbab8498de0 | [
"ECL-2.0",
"Apache-2.0"
] | 94 | 2019-01-17T22:10:45.000Z | 2019-05-22T23:47:58.000Z | test/geometry/test_homography.py | Ishticode/kornia | 974abb43ec72d12dbd244a2fb247bbbab8498de0 | [
"ECL-2.0",
"Apache-2.0"
] | 25 | 2018-10-02T22:50:04.000Z | 2019-01-13T18:14:11.000Z | import random
import pytest
import torch
from torch.autograd import gradcheck
import kornia
import kornia.testing as utils
from kornia.geometry.homography import (
find_homography_dlt,
find_homography_dlt_iterated,
oneway_transfer_error,
sample_is_valid_for_homography,
symmetric_transfer_error,
)
from kornia.testing import assert_close
class TestSampleValidation:
def test_good(self, device, dtype):
pts1 = torch.tensor([[0.0, 0.0],
[0.0, 1.0],
[1.0, 1.0],
[1.0, 0.0]], device=device, dtype=dtype)[None]
mask = sample_is_valid_for_homography(pts1, pts1)
expected = torch.tensor([True], device=device, dtype=torch.bool)
assert torch.equal(mask, expected)
def test_bad(self, device, dtype):
pts1 = torch.tensor([[0.0, 0.0],
[1.0, 0.0],
[0.0, 1.0],
[1.0, 1.0]], device=device, dtype=dtype)[None]
pts2 = torch.tensor([[0.0, 0.0],
[0.0, 1.0],
[1.0, 0.0],
[1.0, 1.0]], device=device, dtype=dtype)[None]
mask = sample_is_valid_for_homography(pts1, pts2)
expected = torch.tensor([False], device=device, dtype=torch.bool)
assert torch.equal(mask, expected)
def test_batch(self, device, dtype):
batch_size = 5
pts1 = torch.rand(batch_size, 4, 2, device=device, dtype=dtype)
pts2 = torch.rand(batch_size, 4, 2, device=device, dtype=dtype)
mask = sample_is_valid_for_homography(pts1, pts2)
assert (mask.shape == torch.Size([batch_size]))
class TestOneWayError:
def test_smoke(self, device, dtype):
pts1 = torch.rand(1, 6, 2, device=device, dtype=dtype)
pts2 = torch.rand(1, 6, 2, device=device, dtype=dtype)
H = utils.create_random_homography(1, 3).type_as(pts1).to(device)
assert oneway_transfer_error(pts1, pts2, H).shape == (1, 6)
def test_batch(self, device, dtype):
batch_size = 5
pts1 = torch.rand(batch_size, 3, 2, device=device, dtype=dtype)
pts2 = torch.rand(batch_size, 3, 2, device=device, dtype=dtype)
H = utils.create_random_homography(1, 3).type_as(pts1).to(device)
assert oneway_transfer_error(pts1, pts2, H).shape == (batch_size, 3)
def test_gradcheck(self, device):
# generate input data
batch_size, num_points, num_dims = 2, 3, 2
points1 = torch.rand(batch_size, num_points, num_dims, device=device, dtype=torch.float64, requires_grad=True)
points2 = torch.rand(batch_size, num_points, num_dims, device=device, dtype=torch.float64)
H = utils.create_random_homography(batch_size, 3).type_as(points1).to(device)
assert gradcheck(oneway_transfer_error, (points1, points2, H), raise_exception=True)
def test_shift(self, device, dtype):
pts1 = torch.zeros(3, 2, device=device, dtype=dtype)[None]
pts2 = torch.tensor([[1.0, 0.0], [2.0, 0.0], [2.0, 2.0]], device=device, dtype=dtype)[None]
H = torch.tensor([[1.0, 0.0, 1.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], dtype=dtype, device=device)[None]
expected = torch.tensor([0.0, 1.0, 5.0], device=device, dtype=dtype)[None]
assert_close(oneway_transfer_error(pts1, pts2, H), expected, atol=1e-4, rtol=1e-4)
class TestSymmetricTransferError:
def test_smoke(self, device, dtype):
pts1 = torch.rand(1, 6, 2, device=device, dtype=dtype)
pts2 = torch.rand(1, 6, 2, device=device, dtype=dtype)
H = utils.create_random_homography(1, 3).type_as(pts1).to(device)
assert symmetric_transfer_error(pts1, pts2, H).shape == (1, 6)
def test_batch(self, device, dtype):
batch_size = 5
pts1 = torch.rand(batch_size, 3, 2, device=device, dtype=dtype)
pts2 = torch.rand(batch_size, 3, 2, device=device, dtype=dtype)
H = utils.create_random_homography(1, 3).type_as(pts1).to(device)
assert symmetric_transfer_error(pts1, pts2, H).shape == (batch_size, 3)
def test_gradcheck(self, device):
# generate input data
batch_size, num_points, num_dims = 2, 3, 2
points1 = torch.rand(batch_size, num_points, num_dims, device=device, dtype=torch.float64, requires_grad=True)
points2 = torch.rand(batch_size, num_points, num_dims, device=device, dtype=torch.float64)
H = utils.create_random_homography(batch_size, 3).type_as(points1).to(device)
assert gradcheck(symmetric_transfer_error, (points1, points2, H), raise_exception=True)
def test_shift(self, device, dtype):
pts1 = torch.zeros(3, 2, device=device, dtype=dtype)[None]
pts2 = torch.tensor([[1.0, 0.0], [2.0, 0.0], [2.0, 2.0]], device=device, dtype=dtype)[None]
H = torch.tensor([[1.0, 0.0, 1.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], dtype=dtype, device=device)[None]
expected = torch.tensor([0.0, 2.0, 10.0], device=device, dtype=dtype)[None]
assert_close(symmetric_transfer_error(pts1, pts2, H), expected, atol=1e-4, rtol=1e-4)
class TestFindHomographyDLT:
def test_smoke(self, device, dtype):
points1 = torch.rand(1, 4, 2, device=device, dtype=dtype)
points2 = torch.rand(1, 4, 2, device=device, dtype=dtype)
weights = torch.ones(1, 4, device=device, dtype=dtype)
H = find_homography_dlt(points1, points2, weights)
assert H.shape == (1, 3, 3)
def test_nocrash(self, device, dtype):
points1 = torch.rand(1, 4, 2, device=device, dtype=dtype)
points2 = torch.rand(1, 4, 2, device=device, dtype=dtype)
weights = torch.ones(1, 4, device=device, dtype=dtype)
points1[0, 0, 0] = float('nan')
H = find_homography_dlt(points1, points2, weights)
assert H.shape == (1, 3, 3)
@pytest.mark.parametrize("batch_size, num_points", [(1, 4), (2, 5), (3, 6)])
def test_shape(self, batch_size, num_points, device, dtype):
B, N = batch_size, num_points
points1 = torch.rand(B, N, 2, device=device, dtype=dtype)
points2 = torch.rand(B, N, 2, device=device, dtype=dtype)
weights = torch.ones(B, N, device=device, dtype=dtype)
H = find_homography_dlt(points1, points2, weights)
assert H.shape == (B, 3, 3)
@pytest.mark.parametrize("batch_size, num_points", [(1, 4), (2, 5), (3, 6)])
def test_shape_noweights(self, batch_size, num_points, device, dtype):
B, N = batch_size, num_points
points1 = torch.rand(B, N, 2, device=device, dtype=dtype)
points2 = torch.rand(B, N, 2, device=device, dtype=dtype)
H = find_homography_dlt(points1, points2, None)
assert H.shape == (B, 3, 3)
@pytest.mark.parametrize("batch_size, num_points", [(1, 4), (2, 5), (3, 6)])
def test_points_noweights(self, batch_size, num_points, device, dtype):
B, N = batch_size, num_points
points1 = torch.rand(B, N, 2, device=device, dtype=dtype)
points2 = torch.rand(B, N, 2, device=device, dtype=dtype)
weights = torch.ones(B, N, device=device, dtype=dtype)
H_noweights = find_homography_dlt(points1, points2, None)
H_withweights = find_homography_dlt(points1, points2, weights)
assert H_noweights.shape == (B, 3, 3) and H_withweights.shape == (B, 3, 3)
assert_close(H_noweights, H_withweights, rtol=1e-3, atol=1e-4)
@pytest.mark.parametrize("batch_size", [1, 2, 5])
def test_clean_points(self, batch_size, device, dtype):
# generate input data
points_src = torch.rand(batch_size, 10, 2, device=device, dtype=dtype)
H = kornia.eye_like(3, points_src)
H = H * 0.3 * torch.rand_like(H)
H = H / H[:, 2:3, 2:3]
points_dst = kornia.geometry.transform_points(H, points_src)
weights = torch.ones(batch_size, 10, device=device, dtype=dtype)
# compute transform from source to target
dst_homo_src = find_homography_dlt(points_src, points_dst, weights)
assert_close(kornia.geometry.transform_points(dst_homo_src, points_src), points_dst, rtol=1e-3, atol=1e-4)
@pytest.mark.grad
@pytest.mark.skipif(torch.__version__ < '1.7', reason="pytorch bug of incopatible types: #33546 fixed in v1.7")
def test_gradcheck(self, device):
# Save initial seed
initial_seed = torch.random.initial_seed()
max_number_of_checks = 10
# Test gradients for a max_number_of_checks times
current_seed = initial_seed
for i in range(max_number_of_checks):
torch.manual_seed(current_seed)
points_src = torch.rand(1, 10, 2, device=device, dtype=torch.float64, requires_grad=True)
points_dst = torch.rand_like(points_src)
weights = torch.ones_like(points_src)[..., 0]
try:
gradcheck(
find_homography_dlt, (points_src, points_dst, weights), rtol=1e-6, atol=1e-6, raise_exception=True
)
# Gradcheck failed
except RuntimeError:
# All iterations failed
if i == max_number_of_checks - 1:
assert gradcheck(
find_homography_dlt,
(points_src, points_dst, weights),
rtol=1e-6,
atol=1e-6,
raise_exception=True,
)
# Next iteration
else:
current_seed = random.randrange(0xFFFFFFFFFFFFFFFF)
continue
# Gradcheck succeed
torch.manual_seed(initial_seed)
return
class TestFindHomographyDLTIter:
def test_smoke(self, device, dtype):
points1 = torch.rand(1, 4, 2, device=device, dtype=dtype)
points2 = torch.rand(1, 4, 2, device=device, dtype=dtype)
weights = torch.ones(1, 4, device=device, dtype=dtype)
H = find_homography_dlt_iterated(points1, points2, weights, 5)
assert H.shape == (1, 3, 3)
@pytest.mark.parametrize("batch_size, num_points", [(1, 4), (2, 5), (3, 6)])
def test_shape(self, batch_size, num_points, device, dtype):
B, N = batch_size, num_points
points1 = torch.rand(B, N, 2, device=device, dtype=dtype)
points2 = torch.rand(B, N, 2, device=device, dtype=dtype)
weights = torch.ones(B, N, device=device, dtype=dtype)
H = find_homography_dlt_iterated(points1, points2, weights, 5)
assert H.shape == (B, 3, 3)
@pytest.mark.parametrize("batch_size", [1, 2])
def test_clean_points(self, batch_size, device, dtype):
# generate input data
points_src = torch.rand(batch_size, 10, 2, device=device, dtype=dtype)
H = kornia.eye_like(3, points_src)
H = H * 0.3 * torch.rand_like(H)
H = H / H[:, 2:3, 2:3]
points_dst = kornia.geometry.transform_points(H, points_src)
weights = torch.ones(batch_size, 10, device=device, dtype=dtype)
# compute transform from source to target
dst_homo_src = find_homography_dlt_iterated(points_src, points_dst, weights, 10)
assert_close(kornia.geometry.transform_points(dst_homo_src, points_src), points_dst, rtol=1e-3, atol=1e-4)
@pytest.mark.grad
@pytest.mark.skipif(torch.__version__ < '1.7', reason="pytorch bug of incopatible types: #33546 fixed in v1.7")
def test_gradcheck(self, device):
# Save initial seed
initial_seed = torch.random.initial_seed()
max_number_of_checks = 10
# Test gradients for a max_number_of_checks times
current_seed = initial_seed
for i in range(max_number_of_checks):
torch.manual_seed(current_seed)
points_src = torch.rand(1, 10, 2, device=device, dtype=torch.float64, requires_grad=True)
points_dst = torch.rand_like(points_src)
weights = torch.ones_like(points_src)[..., 0]
try:
gradcheck(
find_homography_dlt_iterated,
(points_src, points_dst, weights),
rtol=1e-6,
atol=1e-6,
raise_exception=True,
)
# Gradcheck failed
except RuntimeError:
# All iterations failed
if i == max_number_of_checks - 1:
assert gradcheck(
find_homography_dlt_iterated,
(points_src, points_dst, weights),
rtol=1e-6,
atol=1e-6,
raise_exception=True,
)
# Next iteration
else:
current_seed = random.randrange(0xFFFFFFFFFFFFFFFF)
continue
# Gradcheck succeed
torch.manual_seed(initial_seed)
return
@pytest.mark.grad
@pytest.mark.parametrize("batch_size", [1, 2])
def test_dirty_points_and_gradcheck(self, batch_size, device, dtype):
# generate input data
points_src = torch.rand(batch_size, 10, 2, device=device, dtype=dtype)
H = kornia.eye_like(3, points_src)
H = H * (1 + torch.rand_like(H))
H = H / H[:, 2:3, 2:3]
points_src = 100.0 * torch.rand(batch_size, 20, 2, device=device, dtype=dtype)
points_dst = kornia.geometry.transform_points(H, points_src)
# making last point an outlier
points_dst[:, -1, :] += 20
weights = torch.ones(batch_size, 20, device=device, dtype=dtype)
# compute transform from source to target
dst_homo_src = find_homography_dlt_iterated(points_src, points_dst, weights, 0.5, 10)
assert_close(
kornia.geometry.transform_points(dst_homo_src, points_src[:, :-1]), points_dst[:, :-1], rtol=1e-3, atol=1e-3
)
| 44.741214 | 120 | 0.611111 | 1,911 | 14,004 | 4.301936 | 0.081109 | 0.097677 | 0.111665 | 0.123099 | 0.910716 | 0.898431 | 0.891862 | 0.8887 | 0.862426 | 0.851478 | 0 | 0.046974 | 0.267281 | 14,004 | 312 | 121 | 44.884615 | 0.754215 | 0.037418 | 0 | 0.733333 | 0 | 0 | 0.017462 | 0 | 0 | 0 | 0.002675 | 0 | 0.104167 | 1 | 0.095833 | false | 0 | 0.033333 | 0 | 0.158333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
fc094dcb3e534b7be7488506bbf030fc5baeee8b | 306,604 | py | Python | test/unit/test_global_catalog_v1.py | nathan-hekman/platform-services-python-sdk | 498c56c33bff040a77f073448563aeed550a2074 | [
"Apache-2.0"
] | 10 | 2020-04-02T15:48:33.000Z | 2021-06-23T05:12:49.000Z | test/unit/test_global_catalog_v1.py | nathan-hekman/platform-services-python-sdk | 498c56c33bff040a77f073448563aeed550a2074 | [
"Apache-2.0"
] | 151 | 2020-03-30T20:24:39.000Z | 2022-03-30T16:51:22.000Z | test/unit/test_global_catalog_v1.py | nathan-hekman/platform-services-python-sdk | 498c56c33bff040a77f073448563aeed550a2074 | [
"Apache-2.0"
] | 25 | 2020-04-16T21:03:19.000Z | 2021-12-13T19:37:39.000Z | # -*- coding: utf-8 -*-
# (C) Copyright IBM Corp. 2021.
#
# 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.
"""
Unit Tests for GlobalCatalogV1
"""
from datetime import datetime, timezone
from ibm_cloud_sdk_core.authenticators.no_auth_authenticator import NoAuthAuthenticator
import inspect
import io
import json
import pytest
import re
import requests
import responses
import tempfile
import urllib
from ibm_platform_services.global_catalog_v1 import *
service = GlobalCatalogV1(
authenticator=NoAuthAuthenticator()
)
base_url = 'https://globalcatalog.cloud.ibm.com/api/v1'
service.set_service_url(base_url)
##############################################################################
# Start of Service: Object
##############################################################################
# region
class TestListCatalogEntries():
"""
Test Class for list_catalog_entries
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_list_catalog_entries_all_params(self):
"""
list_catalog_entries()
"""
# Set up mock
url = self.preprocess_url(base_url + '/')
mock_response = '{"offset": 6, "limit": 5, "count": 5, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
account = 'testString'
include = 'testString'
q = 'testString'
sort_by = 'testString'
descending = 'testString'
languages = 'testString'
catalog = True
complete = True
offset = 38
limit = 200
# Invoke method
response = service.list_catalog_entries(
account=account,
include=include,
q=q,
sort_by=sort_by,
descending=descending,
languages=languages,
catalog=catalog,
complete=complete,
offset=offset,
limit=limit,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
assert 'include={}'.format(include) in query_string
assert 'q={}'.format(q) in query_string
assert 'sort-by={}'.format(sort_by) in query_string
assert 'descending={}'.format(descending) in query_string
assert 'languages={}'.format(languages) in query_string
assert 'catalog={}'.format('true' if catalog else 'false') in query_string
assert 'complete={}'.format('true' if complete else 'false') in query_string
assert '_offset={}'.format(offset) in query_string
assert '_limit={}'.format(limit) in query_string
@responses.activate
def test_list_catalog_entries_required_params(self):
"""
test_list_catalog_entries_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/')
mock_response = '{"offset": 6, "limit": 5, "count": 5, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Invoke method
response = service.list_catalog_entries()
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
class TestCreateCatalogEntry():
"""
Test Class for create_catalog_entry
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_create_catalog_entry_all_params(self):
"""
create_catalog_entry()
"""
# Set up mock
url = self.preprocess_url(base_url + '/')
mock_response = '{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=201)
# Construct a dict representation of a Overview model
overview_model = {}
overview_model['display_name'] = 'testString'
overview_model['long_description'] = 'testString'
overview_model['description'] = 'testString'
overview_model['featured_description'] = 'testString'
# Construct a dict representation of a Image model
image_model = {}
image_model['image'] = 'testString'
image_model['small_image'] = 'testString'
image_model['medium_image'] = 'testString'
image_model['feature_image'] = 'testString'
# Construct a dict representation of a Provider model
provider_model = {}
provider_model['email'] = 'testString'
provider_model['name'] = 'testString'
provider_model['contact'] = 'testString'
provider_model['support_email'] = 'testString'
provider_model['phone'] = 'testString'
# Construct a dict representation of a CFMetaData model
cf_meta_data_model = {}
cf_meta_data_model['type'] = 'testString'
cf_meta_data_model['iam_compatible'] = True
cf_meta_data_model['unique_api_key'] = True
cf_meta_data_model['provisionable'] = True
cf_meta_data_model['bindable'] = True
cf_meta_data_model['async_provisioning_supported'] = True
cf_meta_data_model['async_unprovisioning_supported'] = True
cf_meta_data_model['requires'] = ['testString']
cf_meta_data_model['plan_updateable'] = True
cf_meta_data_model['state'] = 'testString'
cf_meta_data_model['service_check_enabled'] = True
cf_meta_data_model['test_check_interval'] = 38
cf_meta_data_model['service_key_supported'] = True
cf_meta_data_model['cf_guid'] = {}
# Construct a dict representation of a PlanMetaData model
plan_meta_data_model = {}
plan_meta_data_model['bindable'] = True
plan_meta_data_model['reservable'] = True
plan_meta_data_model['allow_internal_users'] = True
plan_meta_data_model['async_provisioning_supported'] = True
plan_meta_data_model['async_unprovisioning_supported'] = True
plan_meta_data_model['test_check_interval'] = 38
plan_meta_data_model['single_scope_instance'] = 'testString'
plan_meta_data_model['service_check_enabled'] = True
plan_meta_data_model['cf_guid'] = {}
# Construct a dict representation of a AliasMetaData model
alias_meta_data_model = {}
alias_meta_data_model['type'] = 'testString'
alias_meta_data_model['plan_id'] = 'testString'
# Construct a dict representation of a SourceMetaData model
source_meta_data_model = {}
source_meta_data_model['path'] = 'testString'
source_meta_data_model['type'] = 'testString'
source_meta_data_model['url'] = 'testString'
# Construct a dict representation of a TemplateMetaData model
template_meta_data_model = {}
template_meta_data_model['services'] = ['testString']
template_meta_data_model['default_memory'] = 38
template_meta_data_model['start_cmd'] = 'testString'
template_meta_data_model['source'] = source_meta_data_model
template_meta_data_model['runtime_catalog_id'] = 'testString'
template_meta_data_model['cf_runtime_id'] = 'testString'
template_meta_data_model['template_id'] = 'testString'
template_meta_data_model['executable_file'] = 'testString'
template_meta_data_model['buildpack'] = 'testString'
template_meta_data_model['environment_variables'] = {}
# Construct a dict representation of a Bullets model
bullets_model = {}
bullets_model['title'] = 'testString'
bullets_model['description'] = 'testString'
bullets_model['icon'] = 'testString'
bullets_model['quantity'] = 38
# Construct a dict representation of a UIMetaMedia model
ui_meta_media_model = {}
ui_meta_media_model['caption'] = 'testString'
ui_meta_media_model['thumbnail_url'] = 'testString'
ui_meta_media_model['type'] = 'testString'
ui_meta_media_model['URL'] = 'testString'
ui_meta_media_model['source'] = bullets_model
# Construct a dict representation of a Strings model
strings_model = {}
strings_model['bullets'] = [bullets_model]
strings_model['media'] = [ui_meta_media_model]
strings_model['not_creatable_msg'] = 'testString'
strings_model['not_creatable__robot_msg'] = 'testString'
strings_model['deprecation_warning'] = 'testString'
strings_model['popup_warning_message'] = 'testString'
strings_model['instruction'] = 'testString'
# Construct a dict representation of a URLS model
urls_model = {}
urls_model['doc_url'] = 'testString'
urls_model['instructions_url'] = 'testString'
urls_model['api_url'] = 'testString'
urls_model['create_url'] = 'testString'
urls_model['sdk_download_url'] = 'testString'
urls_model['terms_url'] = 'testString'
urls_model['custom_create_page_url'] = 'testString'
urls_model['catalog_details_url'] = 'testString'
urls_model['deprecation_doc_url'] = 'testString'
urls_model['dashboard_url'] = 'testString'
urls_model['registration_url'] = 'testString'
urls_model['apidocsurl'] = 'testString'
# Construct a dict representation of a UIMetaData model
ui_meta_data_model = {}
ui_meta_data_model['strings'] = {}
ui_meta_data_model['urls'] = urls_model
ui_meta_data_model['embeddable_dashboard'] = 'testString'
ui_meta_data_model['embeddable_dashboard_full_width'] = True
ui_meta_data_model['navigation_order'] = ['testString']
ui_meta_data_model['not_creatable'] = True
ui_meta_data_model['primary_offering_id'] = 'testString'
ui_meta_data_model['accessible_during_provision'] = True
ui_meta_data_model['side_by_side_index'] = 38
ui_meta_data_model['end_of_service_time'] = '2020-01-28T18:40:40.123456Z'
ui_meta_data_model['hidden'] = True
ui_meta_data_model['hide_lite_metering'] = True
ui_meta_data_model['no_upgrade_next_step'] = True
# Construct a dict representation of a DRMetaData model
dr_meta_data_model = {}
dr_meta_data_model['dr'] = True
dr_meta_data_model['description'] = 'testString'
# Construct a dict representation of a SLAMetaData model
sla_meta_data_model = {}
sla_meta_data_model['terms'] = 'testString'
sla_meta_data_model['tenancy'] = 'testString'
sla_meta_data_model['provisioning'] = 'testString'
sla_meta_data_model['responsiveness'] = 'testString'
sla_meta_data_model['dr'] = dr_meta_data_model
# Construct a dict representation of a Callbacks model
callbacks_model = {}
callbacks_model['controller_url'] = 'testString'
callbacks_model['broker_url'] = 'testString'
callbacks_model['broker_proxy_url'] = 'testString'
callbacks_model['dashboard_url'] = 'testString'
callbacks_model['dashboard_data_url'] = 'testString'
callbacks_model['dashboard_detail_tab_url'] = 'testString'
callbacks_model['dashboard_detail_tab_ext_url'] = 'testString'
callbacks_model['service_monitor_api'] = 'testString'
callbacks_model['service_monitor_app'] = 'testString'
callbacks_model['api_endpoint'] = {}
# Construct a dict representation of a Price model
price_model = {}
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
# Construct a dict representation of a Amount model
amount_model = {}
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
# Construct a dict representation of a StartingPrice model
starting_price_model = {}
starting_price_model['plan_id'] = 'testString'
starting_price_model['deployment_id'] = 'testString'
starting_price_model['unit'] = 'testString'
starting_price_model['amount'] = [amount_model]
# Construct a dict representation of a PricingSet model
pricing_set_model = {}
pricing_set_model['type'] = 'testString'
pricing_set_model['origin'] = 'testString'
pricing_set_model['starting_price'] = starting_price_model
# Construct a dict representation of a Broker model
broker_model = {}
broker_model['name'] = 'testString'
broker_model['guid'] = 'testString'
# Construct a dict representation of a DeploymentBase model
deployment_base_model = {}
deployment_base_model['location'] = 'testString'
deployment_base_model['location_url'] = 'testString'
deployment_base_model['original_location'] = 'testString'
deployment_base_model['target_crn'] = 'testString'
deployment_base_model['service_crn'] = 'testString'
deployment_base_model['mccp_id'] = 'testString'
deployment_base_model['broker'] = broker_model
deployment_base_model['supports_rc_migration'] = True
deployment_base_model['target_network'] = 'testString'
# Construct a dict representation of a ObjectMetadataSet model
object_metadata_set_model = {}
object_metadata_set_model['rc_compatible'] = True
object_metadata_set_model['service'] = cf_meta_data_model
object_metadata_set_model['plan'] = plan_meta_data_model
object_metadata_set_model['alias'] = alias_meta_data_model
object_metadata_set_model['template'] = template_meta_data_model
object_metadata_set_model['ui'] = ui_meta_data_model
object_metadata_set_model['compliance'] = ['testString']
object_metadata_set_model['sla'] = sla_meta_data_model
object_metadata_set_model['callbacks'] = callbacks_model
object_metadata_set_model['original_name'] = 'testString'
object_metadata_set_model['version'] = 'testString'
object_metadata_set_model['other'] = {}
object_metadata_set_model['pricing'] = pricing_set_model
object_metadata_set_model['deployment'] = deployment_base_model
# Set up parameter values
name = 'testString'
kind = 'service'
overview_ui = {}
images = image_model
disabled = True
tags = ['testString']
provider = provider_model
id = 'testString'
parent_id = 'testString'
group = True
active = True
metadata = object_metadata_set_model
account = 'testString'
# Invoke method
response = service.create_catalog_entry(
name,
kind,
overview_ui,
images,
disabled,
tags,
provider,
id,
parent_id=parent_id,
group=group,
active=active,
metadata=metadata,
account=account,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 201
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['name'] == 'testString'
assert req_body['kind'] == 'service'
assert req_body['overview_ui'] == {}
assert req_body['images'] == image_model
assert req_body['disabled'] == True
assert req_body['tags'] == ['testString']
assert req_body['provider'] == provider_model
assert req_body['id'] == 'testString'
assert req_body['parent_id'] == 'testString'
assert req_body['group'] == True
assert req_body['active'] == True
assert req_body['metadata'] == object_metadata_set_model
@responses.activate
def test_create_catalog_entry_required_params(self):
"""
test_create_catalog_entry_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/')
mock_response = '{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=201)
# Construct a dict representation of a Overview model
overview_model = {}
overview_model['display_name'] = 'testString'
overview_model['long_description'] = 'testString'
overview_model['description'] = 'testString'
overview_model['featured_description'] = 'testString'
# Construct a dict representation of a Image model
image_model = {}
image_model['image'] = 'testString'
image_model['small_image'] = 'testString'
image_model['medium_image'] = 'testString'
image_model['feature_image'] = 'testString'
# Construct a dict representation of a Provider model
provider_model = {}
provider_model['email'] = 'testString'
provider_model['name'] = 'testString'
provider_model['contact'] = 'testString'
provider_model['support_email'] = 'testString'
provider_model['phone'] = 'testString'
# Construct a dict representation of a CFMetaData model
cf_meta_data_model = {}
cf_meta_data_model['type'] = 'testString'
cf_meta_data_model['iam_compatible'] = True
cf_meta_data_model['unique_api_key'] = True
cf_meta_data_model['provisionable'] = True
cf_meta_data_model['bindable'] = True
cf_meta_data_model['async_provisioning_supported'] = True
cf_meta_data_model['async_unprovisioning_supported'] = True
cf_meta_data_model['requires'] = ['testString']
cf_meta_data_model['plan_updateable'] = True
cf_meta_data_model['state'] = 'testString'
cf_meta_data_model['service_check_enabled'] = True
cf_meta_data_model['test_check_interval'] = 38
cf_meta_data_model['service_key_supported'] = True
cf_meta_data_model['cf_guid'] = {}
# Construct a dict representation of a PlanMetaData model
plan_meta_data_model = {}
plan_meta_data_model['bindable'] = True
plan_meta_data_model['reservable'] = True
plan_meta_data_model['allow_internal_users'] = True
plan_meta_data_model['async_provisioning_supported'] = True
plan_meta_data_model['async_unprovisioning_supported'] = True
plan_meta_data_model['test_check_interval'] = 38
plan_meta_data_model['single_scope_instance'] = 'testString'
plan_meta_data_model['service_check_enabled'] = True
plan_meta_data_model['cf_guid'] = {}
# Construct a dict representation of a AliasMetaData model
alias_meta_data_model = {}
alias_meta_data_model['type'] = 'testString'
alias_meta_data_model['plan_id'] = 'testString'
# Construct a dict representation of a SourceMetaData model
source_meta_data_model = {}
source_meta_data_model['path'] = 'testString'
source_meta_data_model['type'] = 'testString'
source_meta_data_model['url'] = 'testString'
# Construct a dict representation of a TemplateMetaData model
template_meta_data_model = {}
template_meta_data_model['services'] = ['testString']
template_meta_data_model['default_memory'] = 38
template_meta_data_model['start_cmd'] = 'testString'
template_meta_data_model['source'] = source_meta_data_model
template_meta_data_model['runtime_catalog_id'] = 'testString'
template_meta_data_model['cf_runtime_id'] = 'testString'
template_meta_data_model['template_id'] = 'testString'
template_meta_data_model['executable_file'] = 'testString'
template_meta_data_model['buildpack'] = 'testString'
template_meta_data_model['environment_variables'] = {}
# Construct a dict representation of a Bullets model
bullets_model = {}
bullets_model['title'] = 'testString'
bullets_model['description'] = 'testString'
bullets_model['icon'] = 'testString'
bullets_model['quantity'] = 38
# Construct a dict representation of a UIMetaMedia model
ui_meta_media_model = {}
ui_meta_media_model['caption'] = 'testString'
ui_meta_media_model['thumbnail_url'] = 'testString'
ui_meta_media_model['type'] = 'testString'
ui_meta_media_model['URL'] = 'testString'
ui_meta_media_model['source'] = bullets_model
# Construct a dict representation of a Strings model
strings_model = {}
strings_model['bullets'] = [bullets_model]
strings_model['media'] = [ui_meta_media_model]
strings_model['not_creatable_msg'] = 'testString'
strings_model['not_creatable__robot_msg'] = 'testString'
strings_model['deprecation_warning'] = 'testString'
strings_model['popup_warning_message'] = 'testString'
strings_model['instruction'] = 'testString'
# Construct a dict representation of a URLS model
urls_model = {}
urls_model['doc_url'] = 'testString'
urls_model['instructions_url'] = 'testString'
urls_model['api_url'] = 'testString'
urls_model['create_url'] = 'testString'
urls_model['sdk_download_url'] = 'testString'
urls_model['terms_url'] = 'testString'
urls_model['custom_create_page_url'] = 'testString'
urls_model['catalog_details_url'] = 'testString'
urls_model['deprecation_doc_url'] = 'testString'
urls_model['dashboard_url'] = 'testString'
urls_model['registration_url'] = 'testString'
urls_model['apidocsurl'] = 'testString'
# Construct a dict representation of a UIMetaData model
ui_meta_data_model = {}
ui_meta_data_model['strings'] = {}
ui_meta_data_model['urls'] = urls_model
ui_meta_data_model['embeddable_dashboard'] = 'testString'
ui_meta_data_model['embeddable_dashboard_full_width'] = True
ui_meta_data_model['navigation_order'] = ['testString']
ui_meta_data_model['not_creatable'] = True
ui_meta_data_model['primary_offering_id'] = 'testString'
ui_meta_data_model['accessible_during_provision'] = True
ui_meta_data_model['side_by_side_index'] = 38
ui_meta_data_model['end_of_service_time'] = '2020-01-28T18:40:40.123456Z'
ui_meta_data_model['hidden'] = True
ui_meta_data_model['hide_lite_metering'] = True
ui_meta_data_model['no_upgrade_next_step'] = True
# Construct a dict representation of a DRMetaData model
dr_meta_data_model = {}
dr_meta_data_model['dr'] = True
dr_meta_data_model['description'] = 'testString'
# Construct a dict representation of a SLAMetaData model
sla_meta_data_model = {}
sla_meta_data_model['terms'] = 'testString'
sla_meta_data_model['tenancy'] = 'testString'
sla_meta_data_model['provisioning'] = 'testString'
sla_meta_data_model['responsiveness'] = 'testString'
sla_meta_data_model['dr'] = dr_meta_data_model
# Construct a dict representation of a Callbacks model
callbacks_model = {}
callbacks_model['controller_url'] = 'testString'
callbacks_model['broker_url'] = 'testString'
callbacks_model['broker_proxy_url'] = 'testString'
callbacks_model['dashboard_url'] = 'testString'
callbacks_model['dashboard_data_url'] = 'testString'
callbacks_model['dashboard_detail_tab_url'] = 'testString'
callbacks_model['dashboard_detail_tab_ext_url'] = 'testString'
callbacks_model['service_monitor_api'] = 'testString'
callbacks_model['service_monitor_app'] = 'testString'
callbacks_model['api_endpoint'] = {}
# Construct a dict representation of a Price model
price_model = {}
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
# Construct a dict representation of a Amount model
amount_model = {}
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
# Construct a dict representation of a StartingPrice model
starting_price_model = {}
starting_price_model['plan_id'] = 'testString'
starting_price_model['deployment_id'] = 'testString'
starting_price_model['unit'] = 'testString'
starting_price_model['amount'] = [amount_model]
# Construct a dict representation of a PricingSet model
pricing_set_model = {}
pricing_set_model['type'] = 'testString'
pricing_set_model['origin'] = 'testString'
pricing_set_model['starting_price'] = starting_price_model
# Construct a dict representation of a Broker model
broker_model = {}
broker_model['name'] = 'testString'
broker_model['guid'] = 'testString'
# Construct a dict representation of a DeploymentBase model
deployment_base_model = {}
deployment_base_model['location'] = 'testString'
deployment_base_model['location_url'] = 'testString'
deployment_base_model['original_location'] = 'testString'
deployment_base_model['target_crn'] = 'testString'
deployment_base_model['service_crn'] = 'testString'
deployment_base_model['mccp_id'] = 'testString'
deployment_base_model['broker'] = broker_model
deployment_base_model['supports_rc_migration'] = True
deployment_base_model['target_network'] = 'testString'
# Construct a dict representation of a ObjectMetadataSet model
object_metadata_set_model = {}
object_metadata_set_model['rc_compatible'] = True
object_metadata_set_model['service'] = cf_meta_data_model
object_metadata_set_model['plan'] = plan_meta_data_model
object_metadata_set_model['alias'] = alias_meta_data_model
object_metadata_set_model['template'] = template_meta_data_model
object_metadata_set_model['ui'] = ui_meta_data_model
object_metadata_set_model['compliance'] = ['testString']
object_metadata_set_model['sla'] = sla_meta_data_model
object_metadata_set_model['callbacks'] = callbacks_model
object_metadata_set_model['original_name'] = 'testString'
object_metadata_set_model['version'] = 'testString'
object_metadata_set_model['other'] = {}
object_metadata_set_model['pricing'] = pricing_set_model
object_metadata_set_model['deployment'] = deployment_base_model
# Set up parameter values
name = 'testString'
kind = 'service'
overview_ui = {}
images = image_model
disabled = True
tags = ['testString']
provider = provider_model
id = 'testString'
parent_id = 'testString'
group = True
active = True
metadata = object_metadata_set_model
# Invoke method
response = service.create_catalog_entry(
name,
kind,
overview_ui,
images,
disabled,
tags,
provider,
id,
parent_id=parent_id,
group=group,
active=active,
metadata=metadata,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 201
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['name'] == 'testString'
assert req_body['kind'] == 'service'
assert req_body['overview_ui'] == {}
assert req_body['images'] == image_model
assert req_body['disabled'] == True
assert req_body['tags'] == ['testString']
assert req_body['provider'] == provider_model
assert req_body['id'] == 'testString'
assert req_body['parent_id'] == 'testString'
assert req_body['group'] == True
assert req_body['active'] == True
assert req_body['metadata'] == object_metadata_set_model
@responses.activate
def test_create_catalog_entry_value_error(self):
"""
test_create_catalog_entry_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/')
mock_response = '{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=201)
# Construct a dict representation of a Overview model
overview_model = {}
overview_model['display_name'] = 'testString'
overview_model['long_description'] = 'testString'
overview_model['description'] = 'testString'
overview_model['featured_description'] = 'testString'
# Construct a dict representation of a Image model
image_model = {}
image_model['image'] = 'testString'
image_model['small_image'] = 'testString'
image_model['medium_image'] = 'testString'
image_model['feature_image'] = 'testString'
# Construct a dict representation of a Provider model
provider_model = {}
provider_model['email'] = 'testString'
provider_model['name'] = 'testString'
provider_model['contact'] = 'testString'
provider_model['support_email'] = 'testString'
provider_model['phone'] = 'testString'
# Construct a dict representation of a CFMetaData model
cf_meta_data_model = {}
cf_meta_data_model['type'] = 'testString'
cf_meta_data_model['iam_compatible'] = True
cf_meta_data_model['unique_api_key'] = True
cf_meta_data_model['provisionable'] = True
cf_meta_data_model['bindable'] = True
cf_meta_data_model['async_provisioning_supported'] = True
cf_meta_data_model['async_unprovisioning_supported'] = True
cf_meta_data_model['requires'] = ['testString']
cf_meta_data_model['plan_updateable'] = True
cf_meta_data_model['state'] = 'testString'
cf_meta_data_model['service_check_enabled'] = True
cf_meta_data_model['test_check_interval'] = 38
cf_meta_data_model['service_key_supported'] = True
cf_meta_data_model['cf_guid'] = {}
# Construct a dict representation of a PlanMetaData model
plan_meta_data_model = {}
plan_meta_data_model['bindable'] = True
plan_meta_data_model['reservable'] = True
plan_meta_data_model['allow_internal_users'] = True
plan_meta_data_model['async_provisioning_supported'] = True
plan_meta_data_model['async_unprovisioning_supported'] = True
plan_meta_data_model['test_check_interval'] = 38
plan_meta_data_model['single_scope_instance'] = 'testString'
plan_meta_data_model['service_check_enabled'] = True
plan_meta_data_model['cf_guid'] = {}
# Construct a dict representation of a AliasMetaData model
alias_meta_data_model = {}
alias_meta_data_model['type'] = 'testString'
alias_meta_data_model['plan_id'] = 'testString'
# Construct a dict representation of a SourceMetaData model
source_meta_data_model = {}
source_meta_data_model['path'] = 'testString'
source_meta_data_model['type'] = 'testString'
source_meta_data_model['url'] = 'testString'
# Construct a dict representation of a TemplateMetaData model
template_meta_data_model = {}
template_meta_data_model['services'] = ['testString']
template_meta_data_model['default_memory'] = 38
template_meta_data_model['start_cmd'] = 'testString'
template_meta_data_model['source'] = source_meta_data_model
template_meta_data_model['runtime_catalog_id'] = 'testString'
template_meta_data_model['cf_runtime_id'] = 'testString'
template_meta_data_model['template_id'] = 'testString'
template_meta_data_model['executable_file'] = 'testString'
template_meta_data_model['buildpack'] = 'testString'
template_meta_data_model['environment_variables'] = {}
# Construct a dict representation of a Bullets model
bullets_model = {}
bullets_model['title'] = 'testString'
bullets_model['description'] = 'testString'
bullets_model['icon'] = 'testString'
bullets_model['quantity'] = 38
# Construct a dict representation of a UIMetaMedia model
ui_meta_media_model = {}
ui_meta_media_model['caption'] = 'testString'
ui_meta_media_model['thumbnail_url'] = 'testString'
ui_meta_media_model['type'] = 'testString'
ui_meta_media_model['URL'] = 'testString'
ui_meta_media_model['source'] = bullets_model
# Construct a dict representation of a Strings model
strings_model = {}
strings_model['bullets'] = [bullets_model]
strings_model['media'] = [ui_meta_media_model]
strings_model['not_creatable_msg'] = 'testString'
strings_model['not_creatable__robot_msg'] = 'testString'
strings_model['deprecation_warning'] = 'testString'
strings_model['popup_warning_message'] = 'testString'
strings_model['instruction'] = 'testString'
# Construct a dict representation of a URLS model
urls_model = {}
urls_model['doc_url'] = 'testString'
urls_model['instructions_url'] = 'testString'
urls_model['api_url'] = 'testString'
urls_model['create_url'] = 'testString'
urls_model['sdk_download_url'] = 'testString'
urls_model['terms_url'] = 'testString'
urls_model['custom_create_page_url'] = 'testString'
urls_model['catalog_details_url'] = 'testString'
urls_model['deprecation_doc_url'] = 'testString'
urls_model['dashboard_url'] = 'testString'
urls_model['registration_url'] = 'testString'
urls_model['apidocsurl'] = 'testString'
# Construct a dict representation of a UIMetaData model
ui_meta_data_model = {}
ui_meta_data_model['strings'] = {}
ui_meta_data_model['urls'] = urls_model
ui_meta_data_model['embeddable_dashboard'] = 'testString'
ui_meta_data_model['embeddable_dashboard_full_width'] = True
ui_meta_data_model['navigation_order'] = ['testString']
ui_meta_data_model['not_creatable'] = True
ui_meta_data_model['primary_offering_id'] = 'testString'
ui_meta_data_model['accessible_during_provision'] = True
ui_meta_data_model['side_by_side_index'] = 38
ui_meta_data_model['end_of_service_time'] = '2020-01-28T18:40:40.123456Z'
ui_meta_data_model['hidden'] = True
ui_meta_data_model['hide_lite_metering'] = True
ui_meta_data_model['no_upgrade_next_step'] = True
# Construct a dict representation of a DRMetaData model
dr_meta_data_model = {}
dr_meta_data_model['dr'] = True
dr_meta_data_model['description'] = 'testString'
# Construct a dict representation of a SLAMetaData model
sla_meta_data_model = {}
sla_meta_data_model['terms'] = 'testString'
sla_meta_data_model['tenancy'] = 'testString'
sla_meta_data_model['provisioning'] = 'testString'
sla_meta_data_model['responsiveness'] = 'testString'
sla_meta_data_model['dr'] = dr_meta_data_model
# Construct a dict representation of a Callbacks model
callbacks_model = {}
callbacks_model['controller_url'] = 'testString'
callbacks_model['broker_url'] = 'testString'
callbacks_model['broker_proxy_url'] = 'testString'
callbacks_model['dashboard_url'] = 'testString'
callbacks_model['dashboard_data_url'] = 'testString'
callbacks_model['dashboard_detail_tab_url'] = 'testString'
callbacks_model['dashboard_detail_tab_ext_url'] = 'testString'
callbacks_model['service_monitor_api'] = 'testString'
callbacks_model['service_monitor_app'] = 'testString'
callbacks_model['api_endpoint'] = {}
# Construct a dict representation of a Price model
price_model = {}
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
# Construct a dict representation of a Amount model
amount_model = {}
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
# Construct a dict representation of a StartingPrice model
starting_price_model = {}
starting_price_model['plan_id'] = 'testString'
starting_price_model['deployment_id'] = 'testString'
starting_price_model['unit'] = 'testString'
starting_price_model['amount'] = [amount_model]
# Construct a dict representation of a PricingSet model
pricing_set_model = {}
pricing_set_model['type'] = 'testString'
pricing_set_model['origin'] = 'testString'
pricing_set_model['starting_price'] = starting_price_model
# Construct a dict representation of a Broker model
broker_model = {}
broker_model['name'] = 'testString'
broker_model['guid'] = 'testString'
# Construct a dict representation of a DeploymentBase model
deployment_base_model = {}
deployment_base_model['location'] = 'testString'
deployment_base_model['location_url'] = 'testString'
deployment_base_model['original_location'] = 'testString'
deployment_base_model['target_crn'] = 'testString'
deployment_base_model['service_crn'] = 'testString'
deployment_base_model['mccp_id'] = 'testString'
deployment_base_model['broker'] = broker_model
deployment_base_model['supports_rc_migration'] = True
deployment_base_model['target_network'] = 'testString'
# Construct a dict representation of a ObjectMetadataSet model
object_metadata_set_model = {}
object_metadata_set_model['rc_compatible'] = True
object_metadata_set_model['service'] = cf_meta_data_model
object_metadata_set_model['plan'] = plan_meta_data_model
object_metadata_set_model['alias'] = alias_meta_data_model
object_metadata_set_model['template'] = template_meta_data_model
object_metadata_set_model['ui'] = ui_meta_data_model
object_metadata_set_model['compliance'] = ['testString']
object_metadata_set_model['sla'] = sla_meta_data_model
object_metadata_set_model['callbacks'] = callbacks_model
object_metadata_set_model['original_name'] = 'testString'
object_metadata_set_model['version'] = 'testString'
object_metadata_set_model['other'] = {}
object_metadata_set_model['pricing'] = pricing_set_model
object_metadata_set_model['deployment'] = deployment_base_model
# Set up parameter values
name = 'testString'
kind = 'service'
overview_ui = {}
images = image_model
disabled = True
tags = ['testString']
provider = provider_model
id = 'testString'
parent_id = 'testString'
group = True
active = True
metadata = object_metadata_set_model
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"name": name,
"kind": kind,
"overview_ui": overview_ui,
"images": images,
"disabled": disabled,
"tags": tags,
"provider": provider,
"id": id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.create_catalog_entry(**req_copy)
class TestGetCatalogEntry():
"""
Test Class for get_catalog_entry
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_catalog_entry_all_params(self):
"""
get_catalog_entry()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString')
mock_response = '{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
account = 'testString'
include = 'testString'
languages = 'testString'
complete = True
depth = 38
# Invoke method
response = service.get_catalog_entry(
id,
account=account,
include=include,
languages=languages,
complete=complete,
depth=depth,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
assert 'include={}'.format(include) in query_string
assert 'languages={}'.format(languages) in query_string
assert 'complete={}'.format('true' if complete else 'false') in query_string
assert 'depth={}'.format(depth) in query_string
@responses.activate
def test_get_catalog_entry_required_params(self):
"""
test_get_catalog_entry_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString')
mock_response = '{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
# Invoke method
response = service.get_catalog_entry(
id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_catalog_entry_value_error(self):
"""
test_get_catalog_entry_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString')
mock_response = '{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"id": id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_catalog_entry(**req_copy)
class TestUpdateCatalogEntry():
"""
Test Class for update_catalog_entry
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_update_catalog_entry_all_params(self):
"""
update_catalog_entry()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString')
mock_response = '{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a Overview model
overview_model = {}
overview_model['display_name'] = 'testString'
overview_model['long_description'] = 'testString'
overview_model['description'] = 'testString'
overview_model['featured_description'] = 'testString'
# Construct a dict representation of a Image model
image_model = {}
image_model['image'] = 'testString'
image_model['small_image'] = 'testString'
image_model['medium_image'] = 'testString'
image_model['feature_image'] = 'testString'
# Construct a dict representation of a Provider model
provider_model = {}
provider_model['email'] = 'testString'
provider_model['name'] = 'testString'
provider_model['contact'] = 'testString'
provider_model['support_email'] = 'testString'
provider_model['phone'] = 'testString'
# Construct a dict representation of a CFMetaData model
cf_meta_data_model = {}
cf_meta_data_model['type'] = 'testString'
cf_meta_data_model['iam_compatible'] = True
cf_meta_data_model['unique_api_key'] = True
cf_meta_data_model['provisionable'] = True
cf_meta_data_model['bindable'] = True
cf_meta_data_model['async_provisioning_supported'] = True
cf_meta_data_model['async_unprovisioning_supported'] = True
cf_meta_data_model['requires'] = ['testString']
cf_meta_data_model['plan_updateable'] = True
cf_meta_data_model['state'] = 'testString'
cf_meta_data_model['service_check_enabled'] = True
cf_meta_data_model['test_check_interval'] = 38
cf_meta_data_model['service_key_supported'] = True
cf_meta_data_model['cf_guid'] = {}
# Construct a dict representation of a PlanMetaData model
plan_meta_data_model = {}
plan_meta_data_model['bindable'] = True
plan_meta_data_model['reservable'] = True
plan_meta_data_model['allow_internal_users'] = True
plan_meta_data_model['async_provisioning_supported'] = True
plan_meta_data_model['async_unprovisioning_supported'] = True
plan_meta_data_model['test_check_interval'] = 38
plan_meta_data_model['single_scope_instance'] = 'testString'
plan_meta_data_model['service_check_enabled'] = True
plan_meta_data_model['cf_guid'] = {}
# Construct a dict representation of a AliasMetaData model
alias_meta_data_model = {}
alias_meta_data_model['type'] = 'testString'
alias_meta_data_model['plan_id'] = 'testString'
# Construct a dict representation of a SourceMetaData model
source_meta_data_model = {}
source_meta_data_model['path'] = 'testString'
source_meta_data_model['type'] = 'testString'
source_meta_data_model['url'] = 'testString'
# Construct a dict representation of a TemplateMetaData model
template_meta_data_model = {}
template_meta_data_model['services'] = ['testString']
template_meta_data_model['default_memory'] = 38
template_meta_data_model['start_cmd'] = 'testString'
template_meta_data_model['source'] = source_meta_data_model
template_meta_data_model['runtime_catalog_id'] = 'testString'
template_meta_data_model['cf_runtime_id'] = 'testString'
template_meta_data_model['template_id'] = 'testString'
template_meta_data_model['executable_file'] = 'testString'
template_meta_data_model['buildpack'] = 'testString'
template_meta_data_model['environment_variables'] = {}
# Construct a dict representation of a Bullets model
bullets_model = {}
bullets_model['title'] = 'testString'
bullets_model['description'] = 'testString'
bullets_model['icon'] = 'testString'
bullets_model['quantity'] = 38
# Construct a dict representation of a UIMetaMedia model
ui_meta_media_model = {}
ui_meta_media_model['caption'] = 'testString'
ui_meta_media_model['thumbnail_url'] = 'testString'
ui_meta_media_model['type'] = 'testString'
ui_meta_media_model['URL'] = 'testString'
ui_meta_media_model['source'] = bullets_model
# Construct a dict representation of a Strings model
strings_model = {}
strings_model['bullets'] = [bullets_model]
strings_model['media'] = [ui_meta_media_model]
strings_model['not_creatable_msg'] = 'testString'
strings_model['not_creatable__robot_msg'] = 'testString'
strings_model['deprecation_warning'] = 'testString'
strings_model['popup_warning_message'] = 'testString'
strings_model['instruction'] = 'testString'
# Construct a dict representation of a URLS model
urls_model = {}
urls_model['doc_url'] = 'testString'
urls_model['instructions_url'] = 'testString'
urls_model['api_url'] = 'testString'
urls_model['create_url'] = 'testString'
urls_model['sdk_download_url'] = 'testString'
urls_model['terms_url'] = 'testString'
urls_model['custom_create_page_url'] = 'testString'
urls_model['catalog_details_url'] = 'testString'
urls_model['deprecation_doc_url'] = 'testString'
urls_model['dashboard_url'] = 'testString'
urls_model['registration_url'] = 'testString'
urls_model['apidocsurl'] = 'testString'
# Construct a dict representation of a UIMetaData model
ui_meta_data_model = {}
ui_meta_data_model['strings'] = {}
ui_meta_data_model['urls'] = urls_model
ui_meta_data_model['embeddable_dashboard'] = 'testString'
ui_meta_data_model['embeddable_dashboard_full_width'] = True
ui_meta_data_model['navigation_order'] = ['testString']
ui_meta_data_model['not_creatable'] = True
ui_meta_data_model['primary_offering_id'] = 'testString'
ui_meta_data_model['accessible_during_provision'] = True
ui_meta_data_model['side_by_side_index'] = 38
ui_meta_data_model['end_of_service_time'] = '2020-01-28T18:40:40.123456Z'
ui_meta_data_model['hidden'] = True
ui_meta_data_model['hide_lite_metering'] = True
ui_meta_data_model['no_upgrade_next_step'] = True
# Construct a dict representation of a DRMetaData model
dr_meta_data_model = {}
dr_meta_data_model['dr'] = True
dr_meta_data_model['description'] = 'testString'
# Construct a dict representation of a SLAMetaData model
sla_meta_data_model = {}
sla_meta_data_model['terms'] = 'testString'
sla_meta_data_model['tenancy'] = 'testString'
sla_meta_data_model['provisioning'] = 'testString'
sla_meta_data_model['responsiveness'] = 'testString'
sla_meta_data_model['dr'] = dr_meta_data_model
# Construct a dict representation of a Callbacks model
callbacks_model = {}
callbacks_model['controller_url'] = 'testString'
callbacks_model['broker_url'] = 'testString'
callbacks_model['broker_proxy_url'] = 'testString'
callbacks_model['dashboard_url'] = 'testString'
callbacks_model['dashboard_data_url'] = 'testString'
callbacks_model['dashboard_detail_tab_url'] = 'testString'
callbacks_model['dashboard_detail_tab_ext_url'] = 'testString'
callbacks_model['service_monitor_api'] = 'testString'
callbacks_model['service_monitor_app'] = 'testString'
callbacks_model['api_endpoint'] = {}
# Construct a dict representation of a Price model
price_model = {}
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
# Construct a dict representation of a Amount model
amount_model = {}
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
# Construct a dict representation of a StartingPrice model
starting_price_model = {}
starting_price_model['plan_id'] = 'testString'
starting_price_model['deployment_id'] = 'testString'
starting_price_model['unit'] = 'testString'
starting_price_model['amount'] = [amount_model]
# Construct a dict representation of a PricingSet model
pricing_set_model = {}
pricing_set_model['type'] = 'testString'
pricing_set_model['origin'] = 'testString'
pricing_set_model['starting_price'] = starting_price_model
# Construct a dict representation of a Broker model
broker_model = {}
broker_model['name'] = 'testString'
broker_model['guid'] = 'testString'
# Construct a dict representation of a DeploymentBase model
deployment_base_model = {}
deployment_base_model['location'] = 'testString'
deployment_base_model['location_url'] = 'testString'
deployment_base_model['original_location'] = 'testString'
deployment_base_model['target_crn'] = 'testString'
deployment_base_model['service_crn'] = 'testString'
deployment_base_model['mccp_id'] = 'testString'
deployment_base_model['broker'] = broker_model
deployment_base_model['supports_rc_migration'] = True
deployment_base_model['target_network'] = 'testString'
# Construct a dict representation of a ObjectMetadataSet model
object_metadata_set_model = {}
object_metadata_set_model['rc_compatible'] = True
object_metadata_set_model['service'] = cf_meta_data_model
object_metadata_set_model['plan'] = plan_meta_data_model
object_metadata_set_model['alias'] = alias_meta_data_model
object_metadata_set_model['template'] = template_meta_data_model
object_metadata_set_model['ui'] = ui_meta_data_model
object_metadata_set_model['compliance'] = ['testString']
object_metadata_set_model['sla'] = sla_meta_data_model
object_metadata_set_model['callbacks'] = callbacks_model
object_metadata_set_model['original_name'] = 'testString'
object_metadata_set_model['version'] = 'testString'
object_metadata_set_model['other'] = {}
object_metadata_set_model['pricing'] = pricing_set_model
object_metadata_set_model['deployment'] = deployment_base_model
# Set up parameter values
id = 'testString'
name = 'testString'
kind = 'service'
overview_ui = {}
images = image_model
disabled = True
tags = ['testString']
provider = provider_model
parent_id = 'testString'
group = True
active = True
metadata = object_metadata_set_model
account = 'testString'
move = 'testString'
# Invoke method
response = service.update_catalog_entry(
id,
name,
kind,
overview_ui,
images,
disabled,
tags,
provider,
parent_id=parent_id,
group=group,
active=active,
metadata=metadata,
account=account,
move=move,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
assert 'move={}'.format(move) in query_string
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['name'] == 'testString'
assert req_body['kind'] == 'service'
assert req_body['overview_ui'] == {}
assert req_body['images'] == image_model
assert req_body['disabled'] == True
assert req_body['tags'] == ['testString']
assert req_body['provider'] == provider_model
assert req_body['parent_id'] == 'testString'
assert req_body['group'] == True
assert req_body['active'] == True
assert req_body['metadata'] == object_metadata_set_model
@responses.activate
def test_update_catalog_entry_required_params(self):
"""
test_update_catalog_entry_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString')
mock_response = '{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a Overview model
overview_model = {}
overview_model['display_name'] = 'testString'
overview_model['long_description'] = 'testString'
overview_model['description'] = 'testString'
overview_model['featured_description'] = 'testString'
# Construct a dict representation of a Image model
image_model = {}
image_model['image'] = 'testString'
image_model['small_image'] = 'testString'
image_model['medium_image'] = 'testString'
image_model['feature_image'] = 'testString'
# Construct a dict representation of a Provider model
provider_model = {}
provider_model['email'] = 'testString'
provider_model['name'] = 'testString'
provider_model['contact'] = 'testString'
provider_model['support_email'] = 'testString'
provider_model['phone'] = 'testString'
# Construct a dict representation of a CFMetaData model
cf_meta_data_model = {}
cf_meta_data_model['type'] = 'testString'
cf_meta_data_model['iam_compatible'] = True
cf_meta_data_model['unique_api_key'] = True
cf_meta_data_model['provisionable'] = True
cf_meta_data_model['bindable'] = True
cf_meta_data_model['async_provisioning_supported'] = True
cf_meta_data_model['async_unprovisioning_supported'] = True
cf_meta_data_model['requires'] = ['testString']
cf_meta_data_model['plan_updateable'] = True
cf_meta_data_model['state'] = 'testString'
cf_meta_data_model['service_check_enabled'] = True
cf_meta_data_model['test_check_interval'] = 38
cf_meta_data_model['service_key_supported'] = True
cf_meta_data_model['cf_guid'] = {}
# Construct a dict representation of a PlanMetaData model
plan_meta_data_model = {}
plan_meta_data_model['bindable'] = True
plan_meta_data_model['reservable'] = True
plan_meta_data_model['allow_internal_users'] = True
plan_meta_data_model['async_provisioning_supported'] = True
plan_meta_data_model['async_unprovisioning_supported'] = True
plan_meta_data_model['test_check_interval'] = 38
plan_meta_data_model['single_scope_instance'] = 'testString'
plan_meta_data_model['service_check_enabled'] = True
plan_meta_data_model['cf_guid'] = {}
# Construct a dict representation of a AliasMetaData model
alias_meta_data_model = {}
alias_meta_data_model['type'] = 'testString'
alias_meta_data_model['plan_id'] = 'testString'
# Construct a dict representation of a SourceMetaData model
source_meta_data_model = {}
source_meta_data_model['path'] = 'testString'
source_meta_data_model['type'] = 'testString'
source_meta_data_model['url'] = 'testString'
# Construct a dict representation of a TemplateMetaData model
template_meta_data_model = {}
template_meta_data_model['services'] = ['testString']
template_meta_data_model['default_memory'] = 38
template_meta_data_model['start_cmd'] = 'testString'
template_meta_data_model['source'] = source_meta_data_model
template_meta_data_model['runtime_catalog_id'] = 'testString'
template_meta_data_model['cf_runtime_id'] = 'testString'
template_meta_data_model['template_id'] = 'testString'
template_meta_data_model['executable_file'] = 'testString'
template_meta_data_model['buildpack'] = 'testString'
template_meta_data_model['environment_variables'] = {}
# Construct a dict representation of a Bullets model
bullets_model = {}
bullets_model['title'] = 'testString'
bullets_model['description'] = 'testString'
bullets_model['icon'] = 'testString'
bullets_model['quantity'] = 38
# Construct a dict representation of a UIMetaMedia model
ui_meta_media_model = {}
ui_meta_media_model['caption'] = 'testString'
ui_meta_media_model['thumbnail_url'] = 'testString'
ui_meta_media_model['type'] = 'testString'
ui_meta_media_model['URL'] = 'testString'
ui_meta_media_model['source'] = bullets_model
# Construct a dict representation of a Strings model
strings_model = {}
strings_model['bullets'] = [bullets_model]
strings_model['media'] = [ui_meta_media_model]
strings_model['not_creatable_msg'] = 'testString'
strings_model['not_creatable__robot_msg'] = 'testString'
strings_model['deprecation_warning'] = 'testString'
strings_model['popup_warning_message'] = 'testString'
strings_model['instruction'] = 'testString'
# Construct a dict representation of a URLS model
urls_model = {}
urls_model['doc_url'] = 'testString'
urls_model['instructions_url'] = 'testString'
urls_model['api_url'] = 'testString'
urls_model['create_url'] = 'testString'
urls_model['sdk_download_url'] = 'testString'
urls_model['terms_url'] = 'testString'
urls_model['custom_create_page_url'] = 'testString'
urls_model['catalog_details_url'] = 'testString'
urls_model['deprecation_doc_url'] = 'testString'
urls_model['dashboard_url'] = 'testString'
urls_model['registration_url'] = 'testString'
urls_model['apidocsurl'] = 'testString'
# Construct a dict representation of a UIMetaData model
ui_meta_data_model = {}
ui_meta_data_model['strings'] = {}
ui_meta_data_model['urls'] = urls_model
ui_meta_data_model['embeddable_dashboard'] = 'testString'
ui_meta_data_model['embeddable_dashboard_full_width'] = True
ui_meta_data_model['navigation_order'] = ['testString']
ui_meta_data_model['not_creatable'] = True
ui_meta_data_model['primary_offering_id'] = 'testString'
ui_meta_data_model['accessible_during_provision'] = True
ui_meta_data_model['side_by_side_index'] = 38
ui_meta_data_model['end_of_service_time'] = '2020-01-28T18:40:40.123456Z'
ui_meta_data_model['hidden'] = True
ui_meta_data_model['hide_lite_metering'] = True
ui_meta_data_model['no_upgrade_next_step'] = True
# Construct a dict representation of a DRMetaData model
dr_meta_data_model = {}
dr_meta_data_model['dr'] = True
dr_meta_data_model['description'] = 'testString'
# Construct a dict representation of a SLAMetaData model
sla_meta_data_model = {}
sla_meta_data_model['terms'] = 'testString'
sla_meta_data_model['tenancy'] = 'testString'
sla_meta_data_model['provisioning'] = 'testString'
sla_meta_data_model['responsiveness'] = 'testString'
sla_meta_data_model['dr'] = dr_meta_data_model
# Construct a dict representation of a Callbacks model
callbacks_model = {}
callbacks_model['controller_url'] = 'testString'
callbacks_model['broker_url'] = 'testString'
callbacks_model['broker_proxy_url'] = 'testString'
callbacks_model['dashboard_url'] = 'testString'
callbacks_model['dashboard_data_url'] = 'testString'
callbacks_model['dashboard_detail_tab_url'] = 'testString'
callbacks_model['dashboard_detail_tab_ext_url'] = 'testString'
callbacks_model['service_monitor_api'] = 'testString'
callbacks_model['service_monitor_app'] = 'testString'
callbacks_model['api_endpoint'] = {}
# Construct a dict representation of a Price model
price_model = {}
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
# Construct a dict representation of a Amount model
amount_model = {}
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
# Construct a dict representation of a StartingPrice model
starting_price_model = {}
starting_price_model['plan_id'] = 'testString'
starting_price_model['deployment_id'] = 'testString'
starting_price_model['unit'] = 'testString'
starting_price_model['amount'] = [amount_model]
# Construct a dict representation of a PricingSet model
pricing_set_model = {}
pricing_set_model['type'] = 'testString'
pricing_set_model['origin'] = 'testString'
pricing_set_model['starting_price'] = starting_price_model
# Construct a dict representation of a Broker model
broker_model = {}
broker_model['name'] = 'testString'
broker_model['guid'] = 'testString'
# Construct a dict representation of a DeploymentBase model
deployment_base_model = {}
deployment_base_model['location'] = 'testString'
deployment_base_model['location_url'] = 'testString'
deployment_base_model['original_location'] = 'testString'
deployment_base_model['target_crn'] = 'testString'
deployment_base_model['service_crn'] = 'testString'
deployment_base_model['mccp_id'] = 'testString'
deployment_base_model['broker'] = broker_model
deployment_base_model['supports_rc_migration'] = True
deployment_base_model['target_network'] = 'testString'
# Construct a dict representation of a ObjectMetadataSet model
object_metadata_set_model = {}
object_metadata_set_model['rc_compatible'] = True
object_metadata_set_model['service'] = cf_meta_data_model
object_metadata_set_model['plan'] = plan_meta_data_model
object_metadata_set_model['alias'] = alias_meta_data_model
object_metadata_set_model['template'] = template_meta_data_model
object_metadata_set_model['ui'] = ui_meta_data_model
object_metadata_set_model['compliance'] = ['testString']
object_metadata_set_model['sla'] = sla_meta_data_model
object_metadata_set_model['callbacks'] = callbacks_model
object_metadata_set_model['original_name'] = 'testString'
object_metadata_set_model['version'] = 'testString'
object_metadata_set_model['other'] = {}
object_metadata_set_model['pricing'] = pricing_set_model
object_metadata_set_model['deployment'] = deployment_base_model
# Set up parameter values
id = 'testString'
name = 'testString'
kind = 'service'
overview_ui = {}
images = image_model
disabled = True
tags = ['testString']
provider = provider_model
parent_id = 'testString'
group = True
active = True
metadata = object_metadata_set_model
# Invoke method
response = service.update_catalog_entry(
id,
name,
kind,
overview_ui,
images,
disabled,
tags,
provider,
parent_id=parent_id,
group=group,
active=active,
metadata=metadata,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['name'] == 'testString'
assert req_body['kind'] == 'service'
assert req_body['overview_ui'] == {}
assert req_body['images'] == image_model
assert req_body['disabled'] == True
assert req_body['tags'] == ['testString']
assert req_body['provider'] == provider_model
assert req_body['parent_id'] == 'testString'
assert req_body['group'] == True
assert req_body['active'] == True
assert req_body['metadata'] == object_metadata_set_model
@responses.activate
def test_update_catalog_entry_value_error(self):
"""
test_update_catalog_entry_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString')
mock_response = '{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a Overview model
overview_model = {}
overview_model['display_name'] = 'testString'
overview_model['long_description'] = 'testString'
overview_model['description'] = 'testString'
overview_model['featured_description'] = 'testString'
# Construct a dict representation of a Image model
image_model = {}
image_model['image'] = 'testString'
image_model['small_image'] = 'testString'
image_model['medium_image'] = 'testString'
image_model['feature_image'] = 'testString'
# Construct a dict representation of a Provider model
provider_model = {}
provider_model['email'] = 'testString'
provider_model['name'] = 'testString'
provider_model['contact'] = 'testString'
provider_model['support_email'] = 'testString'
provider_model['phone'] = 'testString'
# Construct a dict representation of a CFMetaData model
cf_meta_data_model = {}
cf_meta_data_model['type'] = 'testString'
cf_meta_data_model['iam_compatible'] = True
cf_meta_data_model['unique_api_key'] = True
cf_meta_data_model['provisionable'] = True
cf_meta_data_model['bindable'] = True
cf_meta_data_model['async_provisioning_supported'] = True
cf_meta_data_model['async_unprovisioning_supported'] = True
cf_meta_data_model['requires'] = ['testString']
cf_meta_data_model['plan_updateable'] = True
cf_meta_data_model['state'] = 'testString'
cf_meta_data_model['service_check_enabled'] = True
cf_meta_data_model['test_check_interval'] = 38
cf_meta_data_model['service_key_supported'] = True
cf_meta_data_model['cf_guid'] = {}
# Construct a dict representation of a PlanMetaData model
plan_meta_data_model = {}
plan_meta_data_model['bindable'] = True
plan_meta_data_model['reservable'] = True
plan_meta_data_model['allow_internal_users'] = True
plan_meta_data_model['async_provisioning_supported'] = True
plan_meta_data_model['async_unprovisioning_supported'] = True
plan_meta_data_model['test_check_interval'] = 38
plan_meta_data_model['single_scope_instance'] = 'testString'
plan_meta_data_model['service_check_enabled'] = True
plan_meta_data_model['cf_guid'] = {}
# Construct a dict representation of a AliasMetaData model
alias_meta_data_model = {}
alias_meta_data_model['type'] = 'testString'
alias_meta_data_model['plan_id'] = 'testString'
# Construct a dict representation of a SourceMetaData model
source_meta_data_model = {}
source_meta_data_model['path'] = 'testString'
source_meta_data_model['type'] = 'testString'
source_meta_data_model['url'] = 'testString'
# Construct a dict representation of a TemplateMetaData model
template_meta_data_model = {}
template_meta_data_model['services'] = ['testString']
template_meta_data_model['default_memory'] = 38
template_meta_data_model['start_cmd'] = 'testString'
template_meta_data_model['source'] = source_meta_data_model
template_meta_data_model['runtime_catalog_id'] = 'testString'
template_meta_data_model['cf_runtime_id'] = 'testString'
template_meta_data_model['template_id'] = 'testString'
template_meta_data_model['executable_file'] = 'testString'
template_meta_data_model['buildpack'] = 'testString'
template_meta_data_model['environment_variables'] = {}
# Construct a dict representation of a Bullets model
bullets_model = {}
bullets_model['title'] = 'testString'
bullets_model['description'] = 'testString'
bullets_model['icon'] = 'testString'
bullets_model['quantity'] = 38
# Construct a dict representation of a UIMetaMedia model
ui_meta_media_model = {}
ui_meta_media_model['caption'] = 'testString'
ui_meta_media_model['thumbnail_url'] = 'testString'
ui_meta_media_model['type'] = 'testString'
ui_meta_media_model['URL'] = 'testString'
ui_meta_media_model['source'] = bullets_model
# Construct a dict representation of a Strings model
strings_model = {}
strings_model['bullets'] = [bullets_model]
strings_model['media'] = [ui_meta_media_model]
strings_model['not_creatable_msg'] = 'testString'
strings_model['not_creatable__robot_msg'] = 'testString'
strings_model['deprecation_warning'] = 'testString'
strings_model['popup_warning_message'] = 'testString'
strings_model['instruction'] = 'testString'
# Construct a dict representation of a URLS model
urls_model = {}
urls_model['doc_url'] = 'testString'
urls_model['instructions_url'] = 'testString'
urls_model['api_url'] = 'testString'
urls_model['create_url'] = 'testString'
urls_model['sdk_download_url'] = 'testString'
urls_model['terms_url'] = 'testString'
urls_model['custom_create_page_url'] = 'testString'
urls_model['catalog_details_url'] = 'testString'
urls_model['deprecation_doc_url'] = 'testString'
urls_model['dashboard_url'] = 'testString'
urls_model['registration_url'] = 'testString'
urls_model['apidocsurl'] = 'testString'
# Construct a dict representation of a UIMetaData model
ui_meta_data_model = {}
ui_meta_data_model['strings'] = {}
ui_meta_data_model['urls'] = urls_model
ui_meta_data_model['embeddable_dashboard'] = 'testString'
ui_meta_data_model['embeddable_dashboard_full_width'] = True
ui_meta_data_model['navigation_order'] = ['testString']
ui_meta_data_model['not_creatable'] = True
ui_meta_data_model['primary_offering_id'] = 'testString'
ui_meta_data_model['accessible_during_provision'] = True
ui_meta_data_model['side_by_side_index'] = 38
ui_meta_data_model['end_of_service_time'] = '2020-01-28T18:40:40.123456Z'
ui_meta_data_model['hidden'] = True
ui_meta_data_model['hide_lite_metering'] = True
ui_meta_data_model['no_upgrade_next_step'] = True
# Construct a dict representation of a DRMetaData model
dr_meta_data_model = {}
dr_meta_data_model['dr'] = True
dr_meta_data_model['description'] = 'testString'
# Construct a dict representation of a SLAMetaData model
sla_meta_data_model = {}
sla_meta_data_model['terms'] = 'testString'
sla_meta_data_model['tenancy'] = 'testString'
sla_meta_data_model['provisioning'] = 'testString'
sla_meta_data_model['responsiveness'] = 'testString'
sla_meta_data_model['dr'] = dr_meta_data_model
# Construct a dict representation of a Callbacks model
callbacks_model = {}
callbacks_model['controller_url'] = 'testString'
callbacks_model['broker_url'] = 'testString'
callbacks_model['broker_proxy_url'] = 'testString'
callbacks_model['dashboard_url'] = 'testString'
callbacks_model['dashboard_data_url'] = 'testString'
callbacks_model['dashboard_detail_tab_url'] = 'testString'
callbacks_model['dashboard_detail_tab_ext_url'] = 'testString'
callbacks_model['service_monitor_api'] = 'testString'
callbacks_model['service_monitor_app'] = 'testString'
callbacks_model['api_endpoint'] = {}
# Construct a dict representation of a Price model
price_model = {}
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
# Construct a dict representation of a Amount model
amount_model = {}
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
# Construct a dict representation of a StartingPrice model
starting_price_model = {}
starting_price_model['plan_id'] = 'testString'
starting_price_model['deployment_id'] = 'testString'
starting_price_model['unit'] = 'testString'
starting_price_model['amount'] = [amount_model]
# Construct a dict representation of a PricingSet model
pricing_set_model = {}
pricing_set_model['type'] = 'testString'
pricing_set_model['origin'] = 'testString'
pricing_set_model['starting_price'] = starting_price_model
# Construct a dict representation of a Broker model
broker_model = {}
broker_model['name'] = 'testString'
broker_model['guid'] = 'testString'
# Construct a dict representation of a DeploymentBase model
deployment_base_model = {}
deployment_base_model['location'] = 'testString'
deployment_base_model['location_url'] = 'testString'
deployment_base_model['original_location'] = 'testString'
deployment_base_model['target_crn'] = 'testString'
deployment_base_model['service_crn'] = 'testString'
deployment_base_model['mccp_id'] = 'testString'
deployment_base_model['broker'] = broker_model
deployment_base_model['supports_rc_migration'] = True
deployment_base_model['target_network'] = 'testString'
# Construct a dict representation of a ObjectMetadataSet model
object_metadata_set_model = {}
object_metadata_set_model['rc_compatible'] = True
object_metadata_set_model['service'] = cf_meta_data_model
object_metadata_set_model['plan'] = plan_meta_data_model
object_metadata_set_model['alias'] = alias_meta_data_model
object_metadata_set_model['template'] = template_meta_data_model
object_metadata_set_model['ui'] = ui_meta_data_model
object_metadata_set_model['compliance'] = ['testString']
object_metadata_set_model['sla'] = sla_meta_data_model
object_metadata_set_model['callbacks'] = callbacks_model
object_metadata_set_model['original_name'] = 'testString'
object_metadata_set_model['version'] = 'testString'
object_metadata_set_model['other'] = {}
object_metadata_set_model['pricing'] = pricing_set_model
object_metadata_set_model['deployment'] = deployment_base_model
# Set up parameter values
id = 'testString'
name = 'testString'
kind = 'service'
overview_ui = {}
images = image_model
disabled = True
tags = ['testString']
provider = provider_model
parent_id = 'testString'
group = True
active = True
metadata = object_metadata_set_model
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"id": id,
"name": name,
"kind": kind,
"overview_ui": overview_ui,
"images": images,
"disabled": disabled,
"tags": tags,
"provider": provider,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.update_catalog_entry(**req_copy)
class TestDeleteCatalogEntry():
"""
Test Class for delete_catalog_entry
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_catalog_entry_all_params(self):
"""
delete_catalog_entry()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString')
responses.add(responses.DELETE,
url,
status=200)
# Set up parameter values
id = 'testString'
account = 'testString'
force = True
# Invoke method
response = service.delete_catalog_entry(
id,
account=account,
force=force,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
assert 'force={}'.format('true' if force else 'false') in query_string
@responses.activate
def test_delete_catalog_entry_required_params(self):
"""
test_delete_catalog_entry_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString')
responses.add(responses.DELETE,
url,
status=200)
# Set up parameter values
id = 'testString'
# Invoke method
response = service.delete_catalog_entry(
id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_delete_catalog_entry_value_error(self):
"""
test_delete_catalog_entry_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString')
responses.add(responses.DELETE,
url,
status=200)
# Set up parameter values
id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"id": id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_catalog_entry(**req_copy)
class TestGetChildObjects():
"""
Test Class for get_child_objects
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_child_objects_all_params(self):
"""
get_child_objects()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/testString')
mock_response = '{"offset": 6, "limit": 5, "count": 5, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
kind = 'testString'
account = 'testString'
include = 'testString'
q = 'testString'
sort_by = 'testString'
descending = 'testString'
languages = 'testString'
complete = True
offset = 38
limit = 200
# Invoke method
response = service.get_child_objects(
id,
kind,
account=account,
include=include,
q=q,
sort_by=sort_by,
descending=descending,
languages=languages,
complete=complete,
offset=offset,
limit=limit,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
assert 'include={}'.format(include) in query_string
assert 'q={}'.format(q) in query_string
assert 'sort-by={}'.format(sort_by) in query_string
assert 'descending={}'.format(descending) in query_string
assert 'languages={}'.format(languages) in query_string
assert 'complete={}'.format('true' if complete else 'false') in query_string
assert '_offset={}'.format(offset) in query_string
assert '_limit={}'.format(limit) in query_string
@responses.activate
def test_get_child_objects_required_params(self):
"""
test_get_child_objects_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/testString')
mock_response = '{"offset": 6, "limit": 5, "count": 5, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
kind = 'testString'
# Invoke method
response = service.get_child_objects(
id,
kind,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_child_objects_value_error(self):
"""
test_get_child_objects_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/testString')
mock_response = '{"offset": 6, "limit": 5, "count": 5, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"name": "name", "kind": "service", "overview_ui": {"mapKey": {"display_name": "display_name", "long_description": "long_description", "description": "description", "featured_description": "featured_description"}}, "images": {"image": "image", "small_image": "small_image", "medium_image": "medium_image", "feature_image": "feature_image"}, "parent_id": "parent_id", "disabled": true, "tags": ["tags"], "group": false, "provider": {"email": "email", "name": "name", "contact": "contact", "support_email": "support_email", "phone": "phone"}, "active": true, "metadata": {"rc_compatible": false, "service": {"type": "type", "iam_compatible": true, "unique_api_key": true, "provisionable": false, "bindable": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "requires": ["requires"], "plan_updateable": false, "state": "state", "service_check_enabled": false, "test_check_interval": 19, "service_key_supported": false, "cf_guid": {"mapKey": "inner"}}, "plan": {"bindable": true, "reservable": true, "allow_internal_users": true, "async_provisioning_supported": true, "async_unprovisioning_supported": true, "test_check_interval": 19, "single_scope_instance": "single_scope_instance", "service_check_enabled": false, "cf_guid": {"mapKey": "inner"}}, "alias": {"type": "type", "plan_id": "plan_id"}, "template": {"services": ["services"], "default_memory": 14, "start_cmd": "start_cmd", "source": {"path": "path", "type": "type", "url": "url"}, "runtime_catalog_id": "runtime_catalog_id", "cf_runtime_id": "cf_runtime_id", "template_id": "template_id", "executable_file": "executable_file", "buildpack": "buildpack", "environment_variables": {"mapKey": "inner"}}, "ui": {"strings": {"mapKey": {"bullets": [{"title": "title", "description": "description", "icon": "icon", "quantity": 8}], "media": [{"caption": "caption", "thumbnail_url": "thumbnail_url", "type": "type", "URL": "url", "source": {"title": "title", "description": "description", "icon": "icon", "quantity": 8}}], "not_creatable_msg": "not_creatable_msg", "not_creatable__robot_msg": "not_creatable_robot_msg", "deprecation_warning": "deprecation_warning", "popup_warning_message": "popup_warning_message", "instruction": "instruction"}}, "urls": {"doc_url": "doc_url", "instructions_url": "instructions_url", "api_url": "api_url", "create_url": "create_url", "sdk_download_url": "sdk_download_url", "terms_url": "terms_url", "custom_create_page_url": "custom_create_page_url", "catalog_details_url": "catalog_details_url", "deprecation_doc_url": "deprecation_doc_url", "dashboard_url": "dashboard_url", "registration_url": "registration_url", "apidocsurl": "apidocsurl"}, "embeddable_dashboard": "embeddable_dashboard", "embeddable_dashboard_full_width": false, "navigation_order": ["navigation_order"], "not_creatable": false, "primary_offering_id": "primary_offering_id", "accessible_during_provision": false, "side_by_side_index": 18, "end_of_service_time": "2019-01-01T12:00:00.000Z", "hidden": true, "hide_lite_metering": true, "no_upgrade_next_step": true}, "compliance": ["compliance"], "sla": {"terms": "terms", "tenancy": "tenancy", "provisioning": "provisioning", "responsiveness": "responsiveness", "dr": {"dr": true, "description": "description"}}, "callbacks": {"controller_url": "controller_url", "broker_url": "broker_url", "broker_proxy_url": "broker_proxy_url", "dashboard_url": "dashboard_url", "dashboard_data_url": "dashboard_data_url", "dashboard_detail_tab_url": "dashboard_detail_tab_url", "dashboard_detail_tab_ext_url": "dashboard_detail_tab_ext_url", "service_monitor_api": "service_monitor_api", "service_monitor_app": "service_monitor_app", "api_endpoint": {"mapKey": "inner"}}, "original_name": "original_name", "version": "version", "other": {"mapKey": {"anyKey": "anyValue"}}, "pricing": {"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}, "deployment": {"location": "location", "location_url": "location_url", "original_location": "original_location", "target_crn": "target_crn", "service_crn": "service_crn", "mccp_id": "mccp_id", "broker": {"name": "name", "guid": "guid"}, "supports_rc_migration": false, "target_network": "target_network"}}, "id": "id", "catalog_crn": "catalog_crn", "url": "url", "children_url": "children_url", "geo_tags": ["geo_tags"], "pricing_tags": ["pricing_tags"], "created": "2019-01-01T12:00:00.000Z", "updated": "2019-01-01T12:00:00.000Z"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
kind = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"id": id,
"kind": kind,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_child_objects(**req_copy)
class TestRestoreCatalogEntry():
"""
Test Class for restore_catalog_entry
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_restore_catalog_entry_all_params(self):
"""
restore_catalog_entry()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/restore')
responses.add(responses.PUT,
url,
status=200)
# Set up parameter values
id = 'testString'
account = 'testString'
# Invoke method
response = service.restore_catalog_entry(
id,
account=account,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
@responses.activate
def test_restore_catalog_entry_required_params(self):
"""
test_restore_catalog_entry_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/restore')
responses.add(responses.PUT,
url,
status=200)
# Set up parameter values
id = 'testString'
# Invoke method
response = service.restore_catalog_entry(
id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_restore_catalog_entry_value_error(self):
"""
test_restore_catalog_entry_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/restore')
responses.add(responses.PUT,
url,
status=200)
# Set up parameter values
id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"id": id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.restore_catalog_entry(**req_copy)
# endregion
##############################################################################
# End of Service: Object
##############################################################################
##############################################################################
# Start of Service: Visibility
##############################################################################
# region
class TestGetVisibility():
"""
Test Class for get_visibility
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_visibility_all_params(self):
"""
get_visibility()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/visibility')
mock_response = '{"restrictions": "restrictions", "owner": "owner", "extendable": true, "include": {"accounts": {"_accountid_": "accountid"}}, "exclude": {"accounts": {"_accountid_": "accountid"}}, "approved": true}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
account = 'testString'
# Invoke method
response = service.get_visibility(
id,
account=account,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
@responses.activate
def test_get_visibility_required_params(self):
"""
test_get_visibility_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/visibility')
mock_response = '{"restrictions": "restrictions", "owner": "owner", "extendable": true, "include": {"accounts": {"_accountid_": "accountid"}}, "exclude": {"accounts": {"_accountid_": "accountid"}}, "approved": true}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
# Invoke method
response = service.get_visibility(
id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_visibility_value_error(self):
"""
test_get_visibility_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/visibility')
mock_response = '{"restrictions": "restrictions", "owner": "owner", "extendable": true, "include": {"accounts": {"_accountid_": "accountid"}}, "exclude": {"accounts": {"_accountid_": "accountid"}}, "approved": true}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"id": id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_visibility(**req_copy)
class TestUpdateVisibility():
"""
Test Class for update_visibility
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_update_visibility_all_params(self):
"""
update_visibility()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/visibility')
responses.add(responses.PUT,
url,
status=200)
# Construct a dict representation of a VisibilityDetailAccounts model
visibility_detail_accounts_model = {}
visibility_detail_accounts_model['_accountid_'] = 'testString'
# Construct a dict representation of a VisibilityDetail model
visibility_detail_model = {}
visibility_detail_model['accounts'] = visibility_detail_accounts_model
# Set up parameter values
id = 'testString'
extendable = True
include = visibility_detail_model
exclude = visibility_detail_model
account = 'testString'
# Invoke method
response = service.update_visibility(
id,
extendable=extendable,
include=include,
exclude=exclude,
account=account,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['extendable'] == True
assert req_body['include'] == visibility_detail_model
assert req_body['exclude'] == visibility_detail_model
@responses.activate
def test_update_visibility_required_params(self):
"""
test_update_visibility_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/visibility')
responses.add(responses.PUT,
url,
status=200)
# Construct a dict representation of a VisibilityDetailAccounts model
visibility_detail_accounts_model = {}
visibility_detail_accounts_model['_accountid_'] = 'testString'
# Construct a dict representation of a VisibilityDetail model
visibility_detail_model = {}
visibility_detail_model['accounts'] = visibility_detail_accounts_model
# Set up parameter values
id = 'testString'
extendable = True
include = visibility_detail_model
exclude = visibility_detail_model
# Invoke method
response = service.update_visibility(
id,
extendable=extendable,
include=include,
exclude=exclude,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['extendable'] == True
assert req_body['include'] == visibility_detail_model
assert req_body['exclude'] == visibility_detail_model
@responses.activate
def test_update_visibility_value_error(self):
"""
test_update_visibility_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/visibility')
responses.add(responses.PUT,
url,
status=200)
# Construct a dict representation of a VisibilityDetailAccounts model
visibility_detail_accounts_model = {}
visibility_detail_accounts_model['_accountid_'] = 'testString'
# Construct a dict representation of a VisibilityDetail model
visibility_detail_model = {}
visibility_detail_model['accounts'] = visibility_detail_accounts_model
# Set up parameter values
id = 'testString'
extendable = True
include = visibility_detail_model
exclude = visibility_detail_model
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"id": id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.update_visibility(**req_copy)
# endregion
##############################################################################
# End of Service: Visibility
##############################################################################
##############################################################################
# Start of Service: Pricing
##############################################################################
# region
class TestGetPricing():
"""
Test Class for get_pricing
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_pricing_all_params(self):
"""
get_pricing()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/pricing')
mock_response = '{"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
account = 'testString'
# Invoke method
response = service.get_pricing(
id,
account=account,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
@responses.activate
def test_get_pricing_required_params(self):
"""
test_get_pricing_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/pricing')
mock_response = '{"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
# Invoke method
response = service.get_pricing(
id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_pricing_value_error(self):
"""
test_get_pricing_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/pricing')
mock_response = '{"type": "type", "origin": "origin", "starting_price": {"plan_id": "plan_id", "deployment_id": "deployment_id", "unit": "unit", "amount": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}, "metrics": [{"part_ref": "part_ref", "metric_id": "metric_id", "tier_model": "tier_model", "charge_unit": "charge_unit", "charge_unit_name": "charge_unit_name", "charge_unit_quantity": "charge_unit_quantity", "resource_display_name": "resource_display_name", "charge_unit_display_name": "charge_unit_display_name", "usage_cap_qty": 13, "display_cap": 11, "effective_from": "2019-01-01T12:00:00.000Z", "effective_until": "2019-01-01T12:00:00.000Z", "amounts": [{"country": "country", "currency": "currency", "prices": [{"quantity_tier": 13, "Price": 5}]}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"id": id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_pricing(**req_copy)
# endregion
##############################################################################
# End of Service: Pricing
##############################################################################
##############################################################################
# Start of Service: Audit
##############################################################################
# region
class TestGetAuditLogs():
"""
Test Class for get_audit_logs
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_audit_logs_all_params(self):
"""
get_audit_logs()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/logs')
mock_response = '{"offset": 6, "limit": 5, "count": 5, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"id": "id", "effective": {"restrictions": "restrictions", "owner": "owner", "extendable": true, "include": {"accounts": {"_accountid_": "accountid"}}, "exclude": {"accounts": {"_accountid_": "accountid"}}, "approved": true}, "time": "2019-01-01T12:00:00.000Z", "who_id": "who_id", "who_name": "who_name", "who_email": "who_email", "instance": "instance", "gid": "gid", "type": "type", "message": "message", "data": {"mapKey": {"anyKey": "anyValue"}}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
account = 'testString'
ascending = 'testString'
startat = 'testString'
offset = 38
limit = 200
# Invoke method
response = service.get_audit_logs(
id,
account=account,
ascending=ascending,
startat=startat,
offset=offset,
limit=limit,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
assert 'ascending={}'.format(ascending) in query_string
assert 'startat={}'.format(startat) in query_string
assert '_offset={}'.format(offset) in query_string
assert '_limit={}'.format(limit) in query_string
@responses.activate
def test_get_audit_logs_required_params(self):
"""
test_get_audit_logs_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/logs')
mock_response = '{"offset": 6, "limit": 5, "count": 5, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"id": "id", "effective": {"restrictions": "restrictions", "owner": "owner", "extendable": true, "include": {"accounts": {"_accountid_": "accountid"}}, "exclude": {"accounts": {"_accountid_": "accountid"}}, "approved": true}, "time": "2019-01-01T12:00:00.000Z", "who_id": "who_id", "who_name": "who_name", "who_email": "who_email", "instance": "instance", "gid": "gid", "type": "type", "message": "message", "data": {"mapKey": {"anyKey": "anyValue"}}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
# Invoke method
response = service.get_audit_logs(
id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_audit_logs_value_error(self):
"""
test_get_audit_logs_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/logs')
mock_response = '{"offset": 6, "limit": 5, "count": 5, "resource_count": 14, "first": "first", "last": "last", "prev": "prev", "next": "next", "resources": [{"id": "id", "effective": {"restrictions": "restrictions", "owner": "owner", "extendable": true, "include": {"accounts": {"_accountid_": "accountid"}}, "exclude": {"accounts": {"_accountid_": "accountid"}}, "approved": true}, "time": "2019-01-01T12:00:00.000Z", "who_id": "who_id", "who_name": "who_name", "who_email": "who_email", "instance": "instance", "gid": "gid", "type": "type", "message": "message", "data": {"mapKey": {"anyKey": "anyValue"}}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"id": id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_audit_logs(**req_copy)
# endregion
##############################################################################
# End of Service: Audit
##############################################################################
##############################################################################
# Start of Service: Artifact
##############################################################################
# region
class TestListArtifacts():
"""
Test Class for list_artifacts
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_list_artifacts_all_params(self):
"""
list_artifacts()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/artifacts')
mock_response = '{"count": 5, "resources": [{"name": "name", "updated": "2019-01-01T12:00:00.000Z", "url": "url", "etag": "etag", "size": 4}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
object_id = 'testString'
account = 'testString'
# Invoke method
response = service.list_artifacts(
object_id,
account=account,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
@responses.activate
def test_list_artifacts_required_params(self):
"""
test_list_artifacts_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/artifacts')
mock_response = '{"count": 5, "resources": [{"name": "name", "updated": "2019-01-01T12:00:00.000Z", "url": "url", "etag": "etag", "size": 4}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
object_id = 'testString'
# Invoke method
response = service.list_artifacts(
object_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_list_artifacts_value_error(self):
"""
test_list_artifacts_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/artifacts')
mock_response = '{"count": 5, "resources": [{"name": "name", "updated": "2019-01-01T12:00:00.000Z", "url": "url", "etag": "etag", "size": 4}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
object_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"object_id": object_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.list_artifacts(**req_copy)
class TestGetArtifact():
"""
Test Class for get_artifact
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_artifact_all_params(self):
"""
get_artifact()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/artifacts/testString')
mock_response = 'This is a mock binary response.'
responses.add(responses.GET,
url,
body=mock_response,
content_type='*/*',
status=200)
# Set up parameter values
object_id = 'testString'
artifact_id = 'testString'
account = 'testString'
# Invoke method
response = service.get_artifact(
object_id,
artifact_id,
account=account,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
@responses.activate
def test_get_artifact_required_params(self):
"""
test_get_artifact_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/artifacts/testString')
mock_response = 'This is a mock binary response.'
responses.add(responses.GET,
url,
body=mock_response,
content_type='*/*',
status=200)
# Set up parameter values
object_id = 'testString'
artifact_id = 'testString'
# Invoke method
response = service.get_artifact(
object_id,
artifact_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_artifact_value_error(self):
"""
test_get_artifact_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/artifacts/testString')
mock_response = 'This is a mock binary response.'
responses.add(responses.GET,
url,
body=mock_response,
content_type='*/*',
status=200)
# Set up parameter values
object_id = 'testString'
artifact_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"object_id": object_id,
"artifact_id": artifact_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_artifact(**req_copy)
class TestUploadArtifact():
"""
Test Class for upload_artifact
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_upload_artifact_all_params(self):
"""
upload_artifact()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/artifacts/testString')
responses.add(responses.PUT,
url,
status=200)
# Set up parameter values
object_id = 'testString'
artifact_id = 'testString'
artifact = io.BytesIO(b'This is a mock file.').getvalue()
content_type = 'testString'
account = 'testString'
# Invoke method
response = service.upload_artifact(
object_id,
artifact_id,
artifact=artifact,
content_type=content_type,
account=account,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
# Validate body params
@responses.activate
def test_upload_artifact_required_params(self):
"""
test_upload_artifact_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/artifacts/testString')
responses.add(responses.PUT,
url,
status=200)
# Set up parameter values
object_id = 'testString'
artifact_id = 'testString'
# Invoke method
response = service.upload_artifact(
object_id,
artifact_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_upload_artifact_value_error(self):
"""
test_upload_artifact_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/artifacts/testString')
responses.add(responses.PUT,
url,
status=200)
# Set up parameter values
object_id = 'testString'
artifact_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"object_id": object_id,
"artifact_id": artifact_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.upload_artifact(**req_copy)
class TestDeleteArtifact():
"""
Test Class for delete_artifact
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_artifact_all_params(self):
"""
delete_artifact()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/artifacts/testString')
responses.add(responses.DELETE,
url,
status=200)
# Set up parameter values
object_id = 'testString'
artifact_id = 'testString'
account = 'testString'
# Invoke method
response = service.delete_artifact(
object_id,
artifact_id,
account=account,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'account={}'.format(account) in query_string
@responses.activate
def test_delete_artifact_required_params(self):
"""
test_delete_artifact_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/artifacts/testString')
responses.add(responses.DELETE,
url,
status=200)
# Set up parameter values
object_id = 'testString'
artifact_id = 'testString'
# Invoke method
response = service.delete_artifact(
object_id,
artifact_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_delete_artifact_value_error(self):
"""
test_delete_artifact_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/testString/artifacts/testString')
responses.add(responses.DELETE,
url,
status=200)
# Set up parameter values
object_id = 'testString'
artifact_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"object_id": object_id,
"artifact_id": artifact_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_artifact(**req_copy)
# endregion
##############################################################################
# End of Service: Artifact
##############################################################################
##############################################################################
# Start of Model Tests
##############################################################################
# region
class TestAliasMetaData():
"""
Test Class for AliasMetaData
"""
def test_alias_meta_data_serialization(self):
"""
Test serialization/deserialization for AliasMetaData
"""
# Construct a json representation of a AliasMetaData model
alias_meta_data_model_json = {}
alias_meta_data_model_json['type'] = 'testString'
alias_meta_data_model_json['plan_id'] = 'testString'
# Construct a model instance of AliasMetaData by calling from_dict on the json representation
alias_meta_data_model = AliasMetaData.from_dict(alias_meta_data_model_json)
assert alias_meta_data_model != False
# Construct a model instance of AliasMetaData by calling from_dict on the json representation
alias_meta_data_model_dict = AliasMetaData.from_dict(alias_meta_data_model_json).__dict__
alias_meta_data_model2 = AliasMetaData(**alias_meta_data_model_dict)
# Verify the model instances are equivalent
assert alias_meta_data_model == alias_meta_data_model2
# Convert model instance back to dict and verify no loss of data
alias_meta_data_model_json2 = alias_meta_data_model.to_dict()
assert alias_meta_data_model_json2 == alias_meta_data_model_json
class TestAmount():
"""
Test Class for Amount
"""
def test_amount_serialization(self):
"""
Test serialization/deserialization for Amount
"""
# Construct dict forms of any model objects needed in order to build this model.
price_model = {} # Price
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
# Construct a json representation of a Amount model
amount_model_json = {}
amount_model_json['country'] = 'testString'
amount_model_json['currency'] = 'testString'
amount_model_json['prices'] = [price_model]
# Construct a model instance of Amount by calling from_dict on the json representation
amount_model = Amount.from_dict(amount_model_json)
assert amount_model != False
# Construct a model instance of Amount by calling from_dict on the json representation
amount_model_dict = Amount.from_dict(amount_model_json).__dict__
amount_model2 = Amount(**amount_model_dict)
# Verify the model instances are equivalent
assert amount_model == amount_model2
# Convert model instance back to dict and verify no loss of data
amount_model_json2 = amount_model.to_dict()
assert amount_model_json2 == amount_model_json
class TestArtifact():
"""
Test Class for Artifact
"""
def test_artifact_serialization(self):
"""
Test serialization/deserialization for Artifact
"""
# Construct a json representation of a Artifact model
artifact_model_json = {}
artifact_model_json['name'] = 'testString'
artifact_model_json['updated'] = '2020-01-28T18:40:40.123456Z'
artifact_model_json['url'] = 'testString'
artifact_model_json['etag'] = 'testString'
artifact_model_json['size'] = 38
# Construct a model instance of Artifact by calling from_dict on the json representation
artifact_model = Artifact.from_dict(artifact_model_json)
assert artifact_model != False
# Construct a model instance of Artifact by calling from_dict on the json representation
artifact_model_dict = Artifact.from_dict(artifact_model_json).__dict__
artifact_model2 = Artifact(**artifact_model_dict)
# Verify the model instances are equivalent
assert artifact_model == artifact_model2
# Convert model instance back to dict and verify no loss of data
artifact_model_json2 = artifact_model.to_dict()
assert artifact_model_json2 == artifact_model_json
class TestArtifacts():
"""
Test Class for Artifacts
"""
def test_artifacts_serialization(self):
"""
Test serialization/deserialization for Artifacts
"""
# Construct dict forms of any model objects needed in order to build this model.
artifact_model = {} # Artifact
artifact_model['name'] = 'testString'
artifact_model['updated'] = '2020-01-28T18:40:40.123456Z'
artifact_model['url'] = 'testString'
artifact_model['etag'] = 'testString'
artifact_model['size'] = 38
# Construct a json representation of a Artifacts model
artifacts_model_json = {}
artifacts_model_json['count'] = 38
artifacts_model_json['resources'] = [artifact_model]
# Construct a model instance of Artifacts by calling from_dict on the json representation
artifacts_model = Artifacts.from_dict(artifacts_model_json)
assert artifacts_model != False
# Construct a model instance of Artifacts by calling from_dict on the json representation
artifacts_model_dict = Artifacts.from_dict(artifacts_model_json).__dict__
artifacts_model2 = Artifacts(**artifacts_model_dict)
# Verify the model instances are equivalent
assert artifacts_model == artifacts_model2
# Convert model instance back to dict and verify no loss of data
artifacts_model_json2 = artifacts_model.to_dict()
assert artifacts_model_json2 == artifacts_model_json
class TestAuditSearchResult():
"""
Test Class for AuditSearchResult
"""
def test_audit_search_result_serialization(self):
"""
Test serialization/deserialization for AuditSearchResult
"""
# Construct dict forms of any model objects needed in order to build this model.
visibility_detail_accounts_model = {} # VisibilityDetailAccounts
visibility_detail_accounts_model['_accountid_'] = 'testString'
visibility_detail_model = {} # VisibilityDetail
visibility_detail_model['accounts'] = visibility_detail_accounts_model
visibility_model = {} # Visibility
visibility_model['restrictions'] = 'testString'
visibility_model['owner'] = 'testString'
visibility_model['extendable'] = True
visibility_model['include'] = visibility_detail_model
visibility_model['exclude'] = visibility_detail_model
visibility_model['approved'] = True
message_model = {} # Message
message_model['id'] = 'testString'
message_model['effective'] = visibility_model
message_model['time'] = '2020-01-28T18:40:40.123456Z'
message_model['who_id'] = 'testString'
message_model['who_name'] = 'testString'
message_model['who_email'] = 'testString'
message_model['instance'] = 'testString'
message_model['gid'] = 'testString'
message_model['type'] = 'testString'
message_model['message'] = 'testString'
message_model['data'] = {}
# Construct a json representation of a AuditSearchResult model
audit_search_result_model_json = {}
audit_search_result_model_json['offset'] = 38
audit_search_result_model_json['limit'] = 38
audit_search_result_model_json['count'] = 38
audit_search_result_model_json['resource_count'] = 38
audit_search_result_model_json['first'] = 'testString'
audit_search_result_model_json['last'] = 'testString'
audit_search_result_model_json['prev'] = 'testString'
audit_search_result_model_json['next'] = 'testString'
audit_search_result_model_json['resources'] = [message_model]
# Construct a model instance of AuditSearchResult by calling from_dict on the json representation
audit_search_result_model = AuditSearchResult.from_dict(audit_search_result_model_json)
assert audit_search_result_model != False
# Construct a model instance of AuditSearchResult by calling from_dict on the json representation
audit_search_result_model_dict = AuditSearchResult.from_dict(audit_search_result_model_json).__dict__
audit_search_result_model2 = AuditSearchResult(**audit_search_result_model_dict)
# Verify the model instances are equivalent
assert audit_search_result_model == audit_search_result_model2
# Convert model instance back to dict and verify no loss of data
audit_search_result_model_json2 = audit_search_result_model.to_dict()
assert audit_search_result_model_json2 == audit_search_result_model_json
class TestBroker():
"""
Test Class for Broker
"""
def test_broker_serialization(self):
"""
Test serialization/deserialization for Broker
"""
# Construct a json representation of a Broker model
broker_model_json = {}
broker_model_json['name'] = 'testString'
broker_model_json['guid'] = 'testString'
# Construct a model instance of Broker by calling from_dict on the json representation
broker_model = Broker.from_dict(broker_model_json)
assert broker_model != False
# Construct a model instance of Broker by calling from_dict on the json representation
broker_model_dict = Broker.from_dict(broker_model_json).__dict__
broker_model2 = Broker(**broker_model_dict)
# Verify the model instances are equivalent
assert broker_model == broker_model2
# Convert model instance back to dict and verify no loss of data
broker_model_json2 = broker_model.to_dict()
assert broker_model_json2 == broker_model_json
class TestBullets():
"""
Test Class for Bullets
"""
def test_bullets_serialization(self):
"""
Test serialization/deserialization for Bullets
"""
# Construct a json representation of a Bullets model
bullets_model_json = {}
bullets_model_json['title'] = 'testString'
bullets_model_json['description'] = 'testString'
bullets_model_json['icon'] = 'testString'
bullets_model_json['quantity'] = 38
# Construct a model instance of Bullets by calling from_dict on the json representation
bullets_model = Bullets.from_dict(bullets_model_json)
assert bullets_model != False
# Construct a model instance of Bullets by calling from_dict on the json representation
bullets_model_dict = Bullets.from_dict(bullets_model_json).__dict__
bullets_model2 = Bullets(**bullets_model_dict)
# Verify the model instances are equivalent
assert bullets_model == bullets_model2
# Convert model instance back to dict and verify no loss of data
bullets_model_json2 = bullets_model.to_dict()
assert bullets_model_json2 == bullets_model_json
class TestCFMetaData():
"""
Test Class for CFMetaData
"""
def test_cf_meta_data_serialization(self):
"""
Test serialization/deserialization for CFMetaData
"""
# Construct a json representation of a CFMetaData model
cf_meta_data_model_json = {}
cf_meta_data_model_json['type'] = 'testString'
cf_meta_data_model_json['iam_compatible'] = True
cf_meta_data_model_json['unique_api_key'] = True
cf_meta_data_model_json['provisionable'] = True
cf_meta_data_model_json['bindable'] = True
cf_meta_data_model_json['async_provisioning_supported'] = True
cf_meta_data_model_json['async_unprovisioning_supported'] = True
cf_meta_data_model_json['requires'] = ['testString']
cf_meta_data_model_json['plan_updateable'] = True
cf_meta_data_model_json['state'] = 'testString'
cf_meta_data_model_json['service_check_enabled'] = True
cf_meta_data_model_json['test_check_interval'] = 38
cf_meta_data_model_json['service_key_supported'] = True
cf_meta_data_model_json['cf_guid'] = {}
# Construct a model instance of CFMetaData by calling from_dict on the json representation
cf_meta_data_model = CFMetaData.from_dict(cf_meta_data_model_json)
assert cf_meta_data_model != False
# Construct a model instance of CFMetaData by calling from_dict on the json representation
cf_meta_data_model_dict = CFMetaData.from_dict(cf_meta_data_model_json).__dict__
cf_meta_data_model2 = CFMetaData(**cf_meta_data_model_dict)
# Verify the model instances are equivalent
assert cf_meta_data_model == cf_meta_data_model2
# Convert model instance back to dict and verify no loss of data
cf_meta_data_model_json2 = cf_meta_data_model.to_dict()
assert cf_meta_data_model_json2 == cf_meta_data_model_json
class TestCallbacks():
"""
Test Class for Callbacks
"""
def test_callbacks_serialization(self):
"""
Test serialization/deserialization for Callbacks
"""
# Construct a json representation of a Callbacks model
callbacks_model_json = {}
callbacks_model_json['controller_url'] = 'testString'
callbacks_model_json['broker_url'] = 'testString'
callbacks_model_json['broker_proxy_url'] = 'testString'
callbacks_model_json['dashboard_url'] = 'testString'
callbacks_model_json['dashboard_data_url'] = 'testString'
callbacks_model_json['dashboard_detail_tab_url'] = 'testString'
callbacks_model_json['dashboard_detail_tab_ext_url'] = 'testString'
callbacks_model_json['service_monitor_api'] = 'testString'
callbacks_model_json['service_monitor_app'] = 'testString'
callbacks_model_json['api_endpoint'] = {}
# Construct a model instance of Callbacks by calling from_dict on the json representation
callbacks_model = Callbacks.from_dict(callbacks_model_json)
assert callbacks_model != False
# Construct a model instance of Callbacks by calling from_dict on the json representation
callbacks_model_dict = Callbacks.from_dict(callbacks_model_json).__dict__
callbacks_model2 = Callbacks(**callbacks_model_dict)
# Verify the model instances are equivalent
assert callbacks_model == callbacks_model2
# Convert model instance back to dict and verify no loss of data
callbacks_model_json2 = callbacks_model.to_dict()
assert callbacks_model_json2 == callbacks_model_json
class TestCatalogEntry():
"""
Test Class for CatalogEntry
"""
def test_catalog_entry_serialization(self):
"""
Test serialization/deserialization for CatalogEntry
"""
# Construct dict forms of any model objects needed in order to build this model.
overview_model = {} # Overview
overview_model['display_name'] = 'testString'
overview_model['long_description'] = 'testString'
overview_model['description'] = 'testString'
overview_model['featured_description'] = 'testString'
image_model = {} # Image
image_model['image'] = 'testString'
image_model['small_image'] = 'testString'
image_model['medium_image'] = 'testString'
image_model['feature_image'] = 'testString'
provider_model = {} # Provider
provider_model['email'] = 'testString'
provider_model['name'] = 'testString'
provider_model['contact'] = 'testString'
provider_model['support_email'] = 'testString'
provider_model['phone'] = 'testString'
cf_meta_data_model = {} # CFMetaData
cf_meta_data_model['type'] = 'testString'
cf_meta_data_model['iam_compatible'] = True
cf_meta_data_model['unique_api_key'] = True
cf_meta_data_model['provisionable'] = True
cf_meta_data_model['bindable'] = True
cf_meta_data_model['async_provisioning_supported'] = True
cf_meta_data_model['async_unprovisioning_supported'] = True
cf_meta_data_model['requires'] = ['testString']
cf_meta_data_model['plan_updateable'] = True
cf_meta_data_model['state'] = 'testString'
cf_meta_data_model['service_check_enabled'] = True
cf_meta_data_model['test_check_interval'] = 38
cf_meta_data_model['service_key_supported'] = True
cf_meta_data_model['cf_guid'] = {}
plan_meta_data_model = {} # PlanMetaData
plan_meta_data_model['bindable'] = True
plan_meta_data_model['reservable'] = True
plan_meta_data_model['allow_internal_users'] = True
plan_meta_data_model['async_provisioning_supported'] = True
plan_meta_data_model['async_unprovisioning_supported'] = True
plan_meta_data_model['test_check_interval'] = 38
plan_meta_data_model['single_scope_instance'] = 'testString'
plan_meta_data_model['service_check_enabled'] = True
plan_meta_data_model['cf_guid'] = {}
alias_meta_data_model = {} # AliasMetaData
alias_meta_data_model['type'] = 'testString'
alias_meta_data_model['plan_id'] = 'testString'
source_meta_data_model = {} # SourceMetaData
source_meta_data_model['path'] = 'testString'
source_meta_data_model['type'] = 'testString'
source_meta_data_model['url'] = 'testString'
template_meta_data_model = {} # TemplateMetaData
template_meta_data_model['services'] = ['testString']
template_meta_data_model['default_memory'] = 38
template_meta_data_model['start_cmd'] = 'testString'
template_meta_data_model['source'] = source_meta_data_model
template_meta_data_model['runtime_catalog_id'] = 'testString'
template_meta_data_model['cf_runtime_id'] = 'testString'
template_meta_data_model['template_id'] = 'testString'
template_meta_data_model['executable_file'] = 'testString'
template_meta_data_model['buildpack'] = 'testString'
template_meta_data_model['environment_variables'] = {}
bullets_model = {} # Bullets
bullets_model['title'] = 'testString'
bullets_model['description'] = 'testString'
bullets_model['icon'] = 'testString'
bullets_model['quantity'] = 38
ui_meta_media_model = {} # UIMetaMedia
ui_meta_media_model['caption'] = 'testString'
ui_meta_media_model['thumbnail_url'] = 'testString'
ui_meta_media_model['type'] = 'testString'
ui_meta_media_model['URL'] = 'testString'
ui_meta_media_model['source'] = bullets_model
strings_model = {} # Strings
strings_model['bullets'] = [bullets_model]
strings_model['media'] = [ui_meta_media_model]
strings_model['not_creatable_msg'] = 'testString'
strings_model['not_creatable__robot_msg'] = 'testString'
strings_model['deprecation_warning'] = 'testString'
strings_model['popup_warning_message'] = 'testString'
strings_model['instruction'] = 'testString'
urls_model = {} # URLS
urls_model['doc_url'] = 'testString'
urls_model['instructions_url'] = 'testString'
urls_model['api_url'] = 'testString'
urls_model['create_url'] = 'testString'
urls_model['sdk_download_url'] = 'testString'
urls_model['terms_url'] = 'testString'
urls_model['custom_create_page_url'] = 'testString'
urls_model['catalog_details_url'] = 'testString'
urls_model['deprecation_doc_url'] = 'testString'
urls_model['dashboard_url'] = 'testString'
urls_model['registration_url'] = 'testString'
urls_model['apidocsurl'] = 'testString'
ui_meta_data_model = {} # UIMetaData
ui_meta_data_model['strings'] = {}
ui_meta_data_model['urls'] = urls_model
ui_meta_data_model['embeddable_dashboard'] = 'testString'
ui_meta_data_model['embeddable_dashboard_full_width'] = True
ui_meta_data_model['navigation_order'] = ['testString']
ui_meta_data_model['not_creatable'] = True
ui_meta_data_model['primary_offering_id'] = 'testString'
ui_meta_data_model['accessible_during_provision'] = True
ui_meta_data_model['side_by_side_index'] = 38
ui_meta_data_model['end_of_service_time'] = '2020-01-28T18:40:40.123456Z'
ui_meta_data_model['hidden'] = True
ui_meta_data_model['hide_lite_metering'] = True
ui_meta_data_model['no_upgrade_next_step'] = True
dr_meta_data_model = {} # DRMetaData
dr_meta_data_model['dr'] = True
dr_meta_data_model['description'] = 'testString'
sla_meta_data_model = {} # SLAMetaData
sla_meta_data_model['terms'] = 'testString'
sla_meta_data_model['tenancy'] = 'testString'
sla_meta_data_model['provisioning'] = 'testString'
sla_meta_data_model['responsiveness'] = 'testString'
sla_meta_data_model['dr'] = dr_meta_data_model
callbacks_model = {} # Callbacks
callbacks_model['controller_url'] = 'testString'
callbacks_model['broker_url'] = 'testString'
callbacks_model['broker_proxy_url'] = 'testString'
callbacks_model['dashboard_url'] = 'testString'
callbacks_model['dashboard_data_url'] = 'testString'
callbacks_model['dashboard_detail_tab_url'] = 'testString'
callbacks_model['dashboard_detail_tab_ext_url'] = 'testString'
callbacks_model['service_monitor_api'] = 'testString'
callbacks_model['service_monitor_app'] = 'testString'
callbacks_model['api_endpoint'] = {}
price_model = {} # Price
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
amount_model = {} # Amount
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
starting_price_model = {} # StartingPrice
starting_price_model['plan_id'] = 'testString'
starting_price_model['deployment_id'] = 'testString'
starting_price_model['unit'] = 'testString'
starting_price_model['amount'] = [amount_model]
metrics_model = {} # Metrics
metrics_model['part_ref'] = 'testString'
metrics_model['metric_id'] = 'testString'
metrics_model['tier_model'] = 'testString'
metrics_model['charge_unit'] = 'testString'
metrics_model['charge_unit_name'] = 'testString'
metrics_model['charge_unit_quantity'] = 'testString'
metrics_model['resource_display_name'] = 'testString'
metrics_model['charge_unit_display_name'] = 'testString'
metrics_model['usage_cap_qty'] = 38
metrics_model['display_cap'] = 38
metrics_model['effective_from'] = '2020-01-28T18:40:40.123456Z'
metrics_model['effective_until'] = '2020-01-28T18:40:40.123456Z'
metrics_model['amounts'] = [amount_model]
catalog_entry_metadata_pricing_model = {} # CatalogEntryMetadataPricing
catalog_entry_metadata_pricing_model['type'] = 'testString'
catalog_entry_metadata_pricing_model['origin'] = 'testString'
catalog_entry_metadata_pricing_model['starting_price'] = starting_price_model
catalog_entry_metadata_pricing_model['metrics'] = [metrics_model]
broker_model = {} # Broker
broker_model['name'] = 'testString'
broker_model['guid'] = 'testString'
catalog_entry_metadata_deployment_model = {} # CatalogEntryMetadataDeployment
catalog_entry_metadata_deployment_model['location'] = 'testString'
catalog_entry_metadata_deployment_model['location_url'] = 'testString'
catalog_entry_metadata_deployment_model['original_location'] = 'testString'
catalog_entry_metadata_deployment_model['target_crn'] = 'testString'
catalog_entry_metadata_deployment_model['service_crn'] = 'testString'
catalog_entry_metadata_deployment_model['mccp_id'] = 'testString'
catalog_entry_metadata_deployment_model['broker'] = broker_model
catalog_entry_metadata_deployment_model['supports_rc_migration'] = True
catalog_entry_metadata_deployment_model['target_network'] = 'testString'
catalog_entry_metadata_model = {} # CatalogEntryMetadata
catalog_entry_metadata_model['rc_compatible'] = True
catalog_entry_metadata_model['service'] = cf_meta_data_model
catalog_entry_metadata_model['plan'] = plan_meta_data_model
catalog_entry_metadata_model['alias'] = alias_meta_data_model
catalog_entry_metadata_model['template'] = template_meta_data_model
catalog_entry_metadata_model['ui'] = ui_meta_data_model
catalog_entry_metadata_model['compliance'] = ['testString']
catalog_entry_metadata_model['sla'] = sla_meta_data_model
catalog_entry_metadata_model['callbacks'] = callbacks_model
catalog_entry_metadata_model['original_name'] = 'testString'
catalog_entry_metadata_model['version'] = 'testString'
catalog_entry_metadata_model['other'] = {}
catalog_entry_metadata_model['pricing'] = catalog_entry_metadata_pricing_model
catalog_entry_metadata_model['deployment'] = catalog_entry_metadata_deployment_model
# Construct a json representation of a CatalogEntry model
catalog_entry_model_json = {}
catalog_entry_model_json['name'] = 'testString'
catalog_entry_model_json['kind'] = 'service'
catalog_entry_model_json['overview_ui'] = {}
catalog_entry_model_json['images'] = image_model
catalog_entry_model_json['parent_id'] = 'testString'
catalog_entry_model_json['disabled'] = True
catalog_entry_model_json['tags'] = ['testString']
catalog_entry_model_json['group'] = True
catalog_entry_model_json['provider'] = provider_model
catalog_entry_model_json['active'] = True
catalog_entry_model_json['metadata'] = catalog_entry_metadata_model
catalog_entry_model_json['id'] = 'testString'
catalog_entry_model_json['catalog_crn'] = 'testString'
catalog_entry_model_json['url'] = 'testString'
catalog_entry_model_json['children_url'] = 'testString'
catalog_entry_model_json['geo_tags'] = ['testString']
catalog_entry_model_json['pricing_tags'] = ['testString']
catalog_entry_model_json['created'] = '2020-01-28T18:40:40.123456Z'
catalog_entry_model_json['updated'] = '2020-01-28T18:40:40.123456Z'
# Construct a model instance of CatalogEntry by calling from_dict on the json representation
catalog_entry_model = CatalogEntry.from_dict(catalog_entry_model_json)
assert catalog_entry_model != False
# Construct a model instance of CatalogEntry by calling from_dict on the json representation
catalog_entry_model_dict = CatalogEntry.from_dict(catalog_entry_model_json).__dict__
catalog_entry_model2 = CatalogEntry(**catalog_entry_model_dict)
# Verify the model instances are equivalent
assert catalog_entry_model == catalog_entry_model2
# Convert model instance back to dict and verify no loss of data
catalog_entry_model_json2 = catalog_entry_model.to_dict()
assert catalog_entry_model_json2 == catalog_entry_model_json
class TestCatalogEntryMetadata():
"""
Test Class for CatalogEntryMetadata
"""
def test_catalog_entry_metadata_serialization(self):
"""
Test serialization/deserialization for CatalogEntryMetadata
"""
# Construct dict forms of any model objects needed in order to build this model.
cf_meta_data_model = {} # CFMetaData
cf_meta_data_model['type'] = 'testString'
cf_meta_data_model['iam_compatible'] = True
cf_meta_data_model['unique_api_key'] = True
cf_meta_data_model['provisionable'] = True
cf_meta_data_model['bindable'] = True
cf_meta_data_model['async_provisioning_supported'] = True
cf_meta_data_model['async_unprovisioning_supported'] = True
cf_meta_data_model['requires'] = ['testString']
cf_meta_data_model['plan_updateable'] = True
cf_meta_data_model['state'] = 'testString'
cf_meta_data_model['service_check_enabled'] = True
cf_meta_data_model['test_check_interval'] = 38
cf_meta_data_model['service_key_supported'] = True
cf_meta_data_model['cf_guid'] = {}
plan_meta_data_model = {} # PlanMetaData
plan_meta_data_model['bindable'] = True
plan_meta_data_model['reservable'] = True
plan_meta_data_model['allow_internal_users'] = True
plan_meta_data_model['async_provisioning_supported'] = True
plan_meta_data_model['async_unprovisioning_supported'] = True
plan_meta_data_model['test_check_interval'] = 38
plan_meta_data_model['single_scope_instance'] = 'testString'
plan_meta_data_model['service_check_enabled'] = True
plan_meta_data_model['cf_guid'] = {}
alias_meta_data_model = {} # AliasMetaData
alias_meta_data_model['type'] = 'testString'
alias_meta_data_model['plan_id'] = 'testString'
source_meta_data_model = {} # SourceMetaData
source_meta_data_model['path'] = 'testString'
source_meta_data_model['type'] = 'testString'
source_meta_data_model['url'] = 'testString'
template_meta_data_model = {} # TemplateMetaData
template_meta_data_model['services'] = ['testString']
template_meta_data_model['default_memory'] = 38
template_meta_data_model['start_cmd'] = 'testString'
template_meta_data_model['source'] = source_meta_data_model
template_meta_data_model['runtime_catalog_id'] = 'testString'
template_meta_data_model['cf_runtime_id'] = 'testString'
template_meta_data_model['template_id'] = 'testString'
template_meta_data_model['executable_file'] = 'testString'
template_meta_data_model['buildpack'] = 'testString'
template_meta_data_model['environment_variables'] = {}
bullets_model = {} # Bullets
bullets_model['title'] = 'testString'
bullets_model['description'] = 'testString'
bullets_model['icon'] = 'testString'
bullets_model['quantity'] = 38
ui_meta_media_model = {} # UIMetaMedia
ui_meta_media_model['caption'] = 'testString'
ui_meta_media_model['thumbnail_url'] = 'testString'
ui_meta_media_model['type'] = 'testString'
ui_meta_media_model['URL'] = 'testString'
ui_meta_media_model['source'] = bullets_model
strings_model = {} # Strings
strings_model['bullets'] = [bullets_model]
strings_model['media'] = [ui_meta_media_model]
strings_model['not_creatable_msg'] = 'testString'
strings_model['not_creatable__robot_msg'] = 'testString'
strings_model['deprecation_warning'] = 'testString'
strings_model['popup_warning_message'] = 'testString'
strings_model['instruction'] = 'testString'
urls_model = {} # URLS
urls_model['doc_url'] = 'testString'
urls_model['instructions_url'] = 'testString'
urls_model['api_url'] = 'testString'
urls_model['create_url'] = 'testString'
urls_model['sdk_download_url'] = 'testString'
urls_model['terms_url'] = 'testString'
urls_model['custom_create_page_url'] = 'testString'
urls_model['catalog_details_url'] = 'testString'
urls_model['deprecation_doc_url'] = 'testString'
urls_model['dashboard_url'] = 'testString'
urls_model['registration_url'] = 'testString'
urls_model['apidocsurl'] = 'testString'
ui_meta_data_model = {} # UIMetaData
ui_meta_data_model['strings'] = {}
ui_meta_data_model['urls'] = urls_model
ui_meta_data_model['embeddable_dashboard'] = 'testString'
ui_meta_data_model['embeddable_dashboard_full_width'] = True
ui_meta_data_model['navigation_order'] = ['testString']
ui_meta_data_model['not_creatable'] = True
ui_meta_data_model['primary_offering_id'] = 'testString'
ui_meta_data_model['accessible_during_provision'] = True
ui_meta_data_model['side_by_side_index'] = 38
ui_meta_data_model['end_of_service_time'] = '2020-01-28T18:40:40.123456Z'
ui_meta_data_model['hidden'] = True
ui_meta_data_model['hide_lite_metering'] = True
ui_meta_data_model['no_upgrade_next_step'] = True
dr_meta_data_model = {} # DRMetaData
dr_meta_data_model['dr'] = True
dr_meta_data_model['description'] = 'testString'
sla_meta_data_model = {} # SLAMetaData
sla_meta_data_model['terms'] = 'testString'
sla_meta_data_model['tenancy'] = 'testString'
sla_meta_data_model['provisioning'] = 'testString'
sla_meta_data_model['responsiveness'] = 'testString'
sla_meta_data_model['dr'] = dr_meta_data_model
callbacks_model = {} # Callbacks
callbacks_model['controller_url'] = 'testString'
callbacks_model['broker_url'] = 'testString'
callbacks_model['broker_proxy_url'] = 'testString'
callbacks_model['dashboard_url'] = 'testString'
callbacks_model['dashboard_data_url'] = 'testString'
callbacks_model['dashboard_detail_tab_url'] = 'testString'
callbacks_model['dashboard_detail_tab_ext_url'] = 'testString'
callbacks_model['service_monitor_api'] = 'testString'
callbacks_model['service_monitor_app'] = 'testString'
callbacks_model['api_endpoint'] = {}
price_model = {} # Price
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
amount_model = {} # Amount
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
starting_price_model = {} # StartingPrice
starting_price_model['plan_id'] = 'testString'
starting_price_model['deployment_id'] = 'testString'
starting_price_model['unit'] = 'testString'
starting_price_model['amount'] = [amount_model]
metrics_model = {} # Metrics
metrics_model['part_ref'] = 'testString'
metrics_model['metric_id'] = 'testString'
metrics_model['tier_model'] = 'testString'
metrics_model['charge_unit'] = 'testString'
metrics_model['charge_unit_name'] = 'testString'
metrics_model['charge_unit_quantity'] = 'testString'
metrics_model['resource_display_name'] = 'testString'
metrics_model['charge_unit_display_name'] = 'testString'
metrics_model['usage_cap_qty'] = 38
metrics_model['display_cap'] = 38
metrics_model['effective_from'] = '2020-01-28T18:40:40.123456Z'
metrics_model['effective_until'] = '2020-01-28T18:40:40.123456Z'
metrics_model['amounts'] = [amount_model]
catalog_entry_metadata_pricing_model = {} # CatalogEntryMetadataPricing
catalog_entry_metadata_pricing_model['type'] = 'testString'
catalog_entry_metadata_pricing_model['origin'] = 'testString'
catalog_entry_metadata_pricing_model['starting_price'] = starting_price_model
catalog_entry_metadata_pricing_model['metrics'] = [metrics_model]
broker_model = {} # Broker
broker_model['name'] = 'testString'
broker_model['guid'] = 'testString'
catalog_entry_metadata_deployment_model = {} # CatalogEntryMetadataDeployment
catalog_entry_metadata_deployment_model['location'] = 'testString'
catalog_entry_metadata_deployment_model['location_url'] = 'testString'
catalog_entry_metadata_deployment_model['original_location'] = 'testString'
catalog_entry_metadata_deployment_model['target_crn'] = 'testString'
catalog_entry_metadata_deployment_model['service_crn'] = 'testString'
catalog_entry_metadata_deployment_model['mccp_id'] = 'testString'
catalog_entry_metadata_deployment_model['broker'] = broker_model
catalog_entry_metadata_deployment_model['supports_rc_migration'] = True
catalog_entry_metadata_deployment_model['target_network'] = 'testString'
# Construct a json representation of a CatalogEntryMetadata model
catalog_entry_metadata_model_json = {}
catalog_entry_metadata_model_json['rc_compatible'] = True
catalog_entry_metadata_model_json['service'] = cf_meta_data_model
catalog_entry_metadata_model_json['plan'] = plan_meta_data_model
catalog_entry_metadata_model_json['alias'] = alias_meta_data_model
catalog_entry_metadata_model_json['template'] = template_meta_data_model
catalog_entry_metadata_model_json['ui'] = ui_meta_data_model
catalog_entry_metadata_model_json['compliance'] = ['testString']
catalog_entry_metadata_model_json['sla'] = sla_meta_data_model
catalog_entry_metadata_model_json['callbacks'] = callbacks_model
catalog_entry_metadata_model_json['original_name'] = 'testString'
catalog_entry_metadata_model_json['version'] = 'testString'
catalog_entry_metadata_model_json['other'] = {}
catalog_entry_metadata_model_json['pricing'] = catalog_entry_metadata_pricing_model
catalog_entry_metadata_model_json['deployment'] = catalog_entry_metadata_deployment_model
# Construct a model instance of CatalogEntryMetadata by calling from_dict on the json representation
catalog_entry_metadata_model = CatalogEntryMetadata.from_dict(catalog_entry_metadata_model_json)
assert catalog_entry_metadata_model != False
# Construct a model instance of CatalogEntryMetadata by calling from_dict on the json representation
catalog_entry_metadata_model_dict = CatalogEntryMetadata.from_dict(catalog_entry_metadata_model_json).__dict__
catalog_entry_metadata_model2 = CatalogEntryMetadata(**catalog_entry_metadata_model_dict)
# Verify the model instances are equivalent
assert catalog_entry_metadata_model == catalog_entry_metadata_model2
# Convert model instance back to dict and verify no loss of data
catalog_entry_metadata_model_json2 = catalog_entry_metadata_model.to_dict()
assert catalog_entry_metadata_model_json2 == catalog_entry_metadata_model_json
class TestCatalogEntryMetadataDeployment():
"""
Test Class for CatalogEntryMetadataDeployment
"""
def test_catalog_entry_metadata_deployment_serialization(self):
"""
Test serialization/deserialization for CatalogEntryMetadataDeployment
"""
# Construct dict forms of any model objects needed in order to build this model.
broker_model = {} # Broker
broker_model['name'] = 'testString'
broker_model['guid'] = 'testString'
# Construct a json representation of a CatalogEntryMetadataDeployment model
catalog_entry_metadata_deployment_model_json = {}
catalog_entry_metadata_deployment_model_json['location'] = 'testString'
catalog_entry_metadata_deployment_model_json['location_url'] = 'testString'
catalog_entry_metadata_deployment_model_json['original_location'] = 'testString'
catalog_entry_metadata_deployment_model_json['target_crn'] = 'testString'
catalog_entry_metadata_deployment_model_json['service_crn'] = 'testString'
catalog_entry_metadata_deployment_model_json['mccp_id'] = 'testString'
catalog_entry_metadata_deployment_model_json['broker'] = broker_model
catalog_entry_metadata_deployment_model_json['supports_rc_migration'] = True
catalog_entry_metadata_deployment_model_json['target_network'] = 'testString'
# Construct a model instance of CatalogEntryMetadataDeployment by calling from_dict on the json representation
catalog_entry_metadata_deployment_model = CatalogEntryMetadataDeployment.from_dict(catalog_entry_metadata_deployment_model_json)
assert catalog_entry_metadata_deployment_model != False
# Construct a model instance of CatalogEntryMetadataDeployment by calling from_dict on the json representation
catalog_entry_metadata_deployment_model_dict = CatalogEntryMetadataDeployment.from_dict(catalog_entry_metadata_deployment_model_json).__dict__
catalog_entry_metadata_deployment_model2 = CatalogEntryMetadataDeployment(**catalog_entry_metadata_deployment_model_dict)
# Verify the model instances are equivalent
assert catalog_entry_metadata_deployment_model == catalog_entry_metadata_deployment_model2
# Convert model instance back to dict and verify no loss of data
catalog_entry_metadata_deployment_model_json2 = catalog_entry_metadata_deployment_model.to_dict()
assert catalog_entry_metadata_deployment_model_json2 == catalog_entry_metadata_deployment_model_json
class TestCatalogEntryMetadataPricing():
"""
Test Class for CatalogEntryMetadataPricing
"""
def test_catalog_entry_metadata_pricing_serialization(self):
"""
Test serialization/deserialization for CatalogEntryMetadataPricing
"""
# Construct dict forms of any model objects needed in order to build this model.
price_model = {} # Price
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
amount_model = {} # Amount
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
starting_price_model = {} # StartingPrice
starting_price_model['plan_id'] = 'testString'
starting_price_model['deployment_id'] = 'testString'
starting_price_model['unit'] = 'testString'
starting_price_model['amount'] = [amount_model]
metrics_model = {} # Metrics
metrics_model['part_ref'] = 'testString'
metrics_model['metric_id'] = 'testString'
metrics_model['tier_model'] = 'testString'
metrics_model['charge_unit'] = 'testString'
metrics_model['charge_unit_name'] = 'testString'
metrics_model['charge_unit_quantity'] = 'testString'
metrics_model['resource_display_name'] = 'testString'
metrics_model['charge_unit_display_name'] = 'testString'
metrics_model['usage_cap_qty'] = 38
metrics_model['display_cap'] = 38
metrics_model['effective_from'] = '2020-01-28T18:40:40.123456Z'
metrics_model['effective_until'] = '2020-01-28T18:40:40.123456Z'
metrics_model['amounts'] = [amount_model]
# Construct a json representation of a CatalogEntryMetadataPricing model
catalog_entry_metadata_pricing_model_json = {}
catalog_entry_metadata_pricing_model_json['type'] = 'testString'
catalog_entry_metadata_pricing_model_json['origin'] = 'testString'
catalog_entry_metadata_pricing_model_json['starting_price'] = starting_price_model
catalog_entry_metadata_pricing_model_json['metrics'] = [metrics_model]
# Construct a model instance of CatalogEntryMetadataPricing by calling from_dict on the json representation
catalog_entry_metadata_pricing_model = CatalogEntryMetadataPricing.from_dict(catalog_entry_metadata_pricing_model_json)
assert catalog_entry_metadata_pricing_model != False
# Construct a model instance of CatalogEntryMetadataPricing by calling from_dict on the json representation
catalog_entry_metadata_pricing_model_dict = CatalogEntryMetadataPricing.from_dict(catalog_entry_metadata_pricing_model_json).__dict__
catalog_entry_metadata_pricing_model2 = CatalogEntryMetadataPricing(**catalog_entry_metadata_pricing_model_dict)
# Verify the model instances are equivalent
assert catalog_entry_metadata_pricing_model == catalog_entry_metadata_pricing_model2
# Convert model instance back to dict and verify no loss of data
catalog_entry_metadata_pricing_model_json2 = catalog_entry_metadata_pricing_model.to_dict()
assert catalog_entry_metadata_pricing_model_json2 == catalog_entry_metadata_pricing_model_json
class TestDRMetaData():
"""
Test Class for DRMetaData
"""
def test_dr_meta_data_serialization(self):
"""
Test serialization/deserialization for DRMetaData
"""
# Construct a json representation of a DRMetaData model
dr_meta_data_model_json = {}
dr_meta_data_model_json['dr'] = True
dr_meta_data_model_json['description'] = 'testString'
# Construct a model instance of DRMetaData by calling from_dict on the json representation
dr_meta_data_model = DRMetaData.from_dict(dr_meta_data_model_json)
assert dr_meta_data_model != False
# Construct a model instance of DRMetaData by calling from_dict on the json representation
dr_meta_data_model_dict = DRMetaData.from_dict(dr_meta_data_model_json).__dict__
dr_meta_data_model2 = DRMetaData(**dr_meta_data_model_dict)
# Verify the model instances are equivalent
assert dr_meta_data_model == dr_meta_data_model2
# Convert model instance back to dict and verify no loss of data
dr_meta_data_model_json2 = dr_meta_data_model.to_dict()
assert dr_meta_data_model_json2 == dr_meta_data_model_json
class TestDeploymentBase():
"""
Test Class for DeploymentBase
"""
def test_deployment_base_serialization(self):
"""
Test serialization/deserialization for DeploymentBase
"""
# Construct dict forms of any model objects needed in order to build this model.
broker_model = {} # Broker
broker_model['name'] = 'testString'
broker_model['guid'] = 'testString'
# Construct a json representation of a DeploymentBase model
deployment_base_model_json = {}
deployment_base_model_json['location'] = 'testString'
deployment_base_model_json['location_url'] = 'testString'
deployment_base_model_json['original_location'] = 'testString'
deployment_base_model_json['target_crn'] = 'testString'
deployment_base_model_json['service_crn'] = 'testString'
deployment_base_model_json['mccp_id'] = 'testString'
deployment_base_model_json['broker'] = broker_model
deployment_base_model_json['supports_rc_migration'] = True
deployment_base_model_json['target_network'] = 'testString'
# Construct a model instance of DeploymentBase by calling from_dict on the json representation
deployment_base_model = DeploymentBase.from_dict(deployment_base_model_json)
assert deployment_base_model != False
# Construct a model instance of DeploymentBase by calling from_dict on the json representation
deployment_base_model_dict = DeploymentBase.from_dict(deployment_base_model_json).__dict__
deployment_base_model2 = DeploymentBase(**deployment_base_model_dict)
# Verify the model instances are equivalent
assert deployment_base_model == deployment_base_model2
# Convert model instance back to dict and verify no loss of data
deployment_base_model_json2 = deployment_base_model.to_dict()
assert deployment_base_model_json2 == deployment_base_model_json
class TestEntrySearchResult():
"""
Test Class for EntrySearchResult
"""
def test_entry_search_result_serialization(self):
"""
Test serialization/deserialization for EntrySearchResult
"""
# Construct dict forms of any model objects needed in order to build this model.
overview_model = {} # Overview
overview_model['display_name'] = 'testString'
overview_model['long_description'] = 'testString'
overview_model['description'] = 'testString'
overview_model['featured_description'] = 'testString'
image_model = {} # Image
image_model['image'] = 'testString'
image_model['small_image'] = 'testString'
image_model['medium_image'] = 'testString'
image_model['feature_image'] = 'testString'
provider_model = {} # Provider
provider_model['email'] = 'testString'
provider_model['name'] = 'testString'
provider_model['contact'] = 'testString'
provider_model['support_email'] = 'testString'
provider_model['phone'] = 'testString'
cf_meta_data_model = {} # CFMetaData
cf_meta_data_model['type'] = 'testString'
cf_meta_data_model['iam_compatible'] = True
cf_meta_data_model['unique_api_key'] = True
cf_meta_data_model['provisionable'] = True
cf_meta_data_model['bindable'] = True
cf_meta_data_model['async_provisioning_supported'] = True
cf_meta_data_model['async_unprovisioning_supported'] = True
cf_meta_data_model['requires'] = ['testString']
cf_meta_data_model['plan_updateable'] = True
cf_meta_data_model['state'] = 'testString'
cf_meta_data_model['service_check_enabled'] = True
cf_meta_data_model['test_check_interval'] = 38
cf_meta_data_model['service_key_supported'] = True
cf_meta_data_model['cf_guid'] = {}
plan_meta_data_model = {} # PlanMetaData
plan_meta_data_model['bindable'] = True
plan_meta_data_model['reservable'] = True
plan_meta_data_model['allow_internal_users'] = True
plan_meta_data_model['async_provisioning_supported'] = True
plan_meta_data_model['async_unprovisioning_supported'] = True
plan_meta_data_model['test_check_interval'] = 38
plan_meta_data_model['single_scope_instance'] = 'testString'
plan_meta_data_model['service_check_enabled'] = True
plan_meta_data_model['cf_guid'] = {}
alias_meta_data_model = {} # AliasMetaData
alias_meta_data_model['type'] = 'testString'
alias_meta_data_model['plan_id'] = 'testString'
source_meta_data_model = {} # SourceMetaData
source_meta_data_model['path'] = 'testString'
source_meta_data_model['type'] = 'testString'
source_meta_data_model['url'] = 'testString'
template_meta_data_model = {} # TemplateMetaData
template_meta_data_model['services'] = ['testString']
template_meta_data_model['default_memory'] = 38
template_meta_data_model['start_cmd'] = 'testString'
template_meta_data_model['source'] = source_meta_data_model
template_meta_data_model['runtime_catalog_id'] = 'testString'
template_meta_data_model['cf_runtime_id'] = 'testString'
template_meta_data_model['template_id'] = 'testString'
template_meta_data_model['executable_file'] = 'testString'
template_meta_data_model['buildpack'] = 'testString'
template_meta_data_model['environment_variables'] = {}
bullets_model = {} # Bullets
bullets_model['title'] = 'testString'
bullets_model['description'] = 'testString'
bullets_model['icon'] = 'testString'
bullets_model['quantity'] = 38
ui_meta_media_model = {} # UIMetaMedia
ui_meta_media_model['caption'] = 'testString'
ui_meta_media_model['thumbnail_url'] = 'testString'
ui_meta_media_model['type'] = 'testString'
ui_meta_media_model['URL'] = 'testString'
ui_meta_media_model['source'] = bullets_model
strings_model = {} # Strings
strings_model['bullets'] = [bullets_model]
strings_model['media'] = [ui_meta_media_model]
strings_model['not_creatable_msg'] = 'testString'
strings_model['not_creatable__robot_msg'] = 'testString'
strings_model['deprecation_warning'] = 'testString'
strings_model['popup_warning_message'] = 'testString'
strings_model['instruction'] = 'testString'
urls_model = {} # URLS
urls_model['doc_url'] = 'testString'
urls_model['instructions_url'] = 'testString'
urls_model['api_url'] = 'testString'
urls_model['create_url'] = 'testString'
urls_model['sdk_download_url'] = 'testString'
urls_model['terms_url'] = 'testString'
urls_model['custom_create_page_url'] = 'testString'
urls_model['catalog_details_url'] = 'testString'
urls_model['deprecation_doc_url'] = 'testString'
urls_model['dashboard_url'] = 'testString'
urls_model['registration_url'] = 'testString'
urls_model['apidocsurl'] = 'testString'
ui_meta_data_model = {} # UIMetaData
ui_meta_data_model['strings'] = {}
ui_meta_data_model['urls'] = urls_model
ui_meta_data_model['embeddable_dashboard'] = 'testString'
ui_meta_data_model['embeddable_dashboard_full_width'] = True
ui_meta_data_model['navigation_order'] = ['testString']
ui_meta_data_model['not_creatable'] = True
ui_meta_data_model['primary_offering_id'] = 'testString'
ui_meta_data_model['accessible_during_provision'] = True
ui_meta_data_model['side_by_side_index'] = 38
ui_meta_data_model['end_of_service_time'] = '2020-01-28T18:40:40.123456Z'
ui_meta_data_model['hidden'] = True
ui_meta_data_model['hide_lite_metering'] = True
ui_meta_data_model['no_upgrade_next_step'] = True
dr_meta_data_model = {} # DRMetaData
dr_meta_data_model['dr'] = True
dr_meta_data_model['description'] = 'testString'
sla_meta_data_model = {} # SLAMetaData
sla_meta_data_model['terms'] = 'testString'
sla_meta_data_model['tenancy'] = 'testString'
sla_meta_data_model['provisioning'] = 'testString'
sla_meta_data_model['responsiveness'] = 'testString'
sla_meta_data_model['dr'] = dr_meta_data_model
callbacks_model = {} # Callbacks
callbacks_model['controller_url'] = 'testString'
callbacks_model['broker_url'] = 'testString'
callbacks_model['broker_proxy_url'] = 'testString'
callbacks_model['dashboard_url'] = 'testString'
callbacks_model['dashboard_data_url'] = 'testString'
callbacks_model['dashboard_detail_tab_url'] = 'testString'
callbacks_model['dashboard_detail_tab_ext_url'] = 'testString'
callbacks_model['service_monitor_api'] = 'testString'
callbacks_model['service_monitor_app'] = 'testString'
callbacks_model['api_endpoint'] = {}
price_model = {} # Price
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
amount_model = {} # Amount
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
starting_price_model = {} # StartingPrice
starting_price_model['plan_id'] = 'testString'
starting_price_model['deployment_id'] = 'testString'
starting_price_model['unit'] = 'testString'
starting_price_model['amount'] = [amount_model]
metrics_model = {} # Metrics
metrics_model['part_ref'] = 'testString'
metrics_model['metric_id'] = 'testString'
metrics_model['tier_model'] = 'testString'
metrics_model['charge_unit'] = 'testString'
metrics_model['charge_unit_name'] = 'testString'
metrics_model['charge_unit_quantity'] = 'testString'
metrics_model['resource_display_name'] = 'testString'
metrics_model['charge_unit_display_name'] = 'testString'
metrics_model['usage_cap_qty'] = 38
metrics_model['display_cap'] = 38
metrics_model['effective_from'] = '2020-01-28T18:40:40.123456Z'
metrics_model['effective_until'] = '2020-01-28T18:40:40.123456Z'
metrics_model['amounts'] = [amount_model]
catalog_entry_metadata_pricing_model = {} # CatalogEntryMetadataPricing
catalog_entry_metadata_pricing_model['type'] = 'testString'
catalog_entry_metadata_pricing_model['origin'] = 'testString'
catalog_entry_metadata_pricing_model['starting_price'] = starting_price_model
catalog_entry_metadata_pricing_model['metrics'] = [metrics_model]
broker_model = {} # Broker
broker_model['name'] = 'testString'
broker_model['guid'] = 'testString'
catalog_entry_metadata_deployment_model = {} # CatalogEntryMetadataDeployment
catalog_entry_metadata_deployment_model['location'] = 'testString'
catalog_entry_metadata_deployment_model['location_url'] = 'testString'
catalog_entry_metadata_deployment_model['original_location'] = 'testString'
catalog_entry_metadata_deployment_model['target_crn'] = 'testString'
catalog_entry_metadata_deployment_model['service_crn'] = 'testString'
catalog_entry_metadata_deployment_model['mccp_id'] = 'testString'
catalog_entry_metadata_deployment_model['broker'] = broker_model
catalog_entry_metadata_deployment_model['supports_rc_migration'] = True
catalog_entry_metadata_deployment_model['target_network'] = 'testString'
catalog_entry_metadata_model = {} # CatalogEntryMetadata
catalog_entry_metadata_model['rc_compatible'] = True
catalog_entry_metadata_model['service'] = cf_meta_data_model
catalog_entry_metadata_model['plan'] = plan_meta_data_model
catalog_entry_metadata_model['alias'] = alias_meta_data_model
catalog_entry_metadata_model['template'] = template_meta_data_model
catalog_entry_metadata_model['ui'] = ui_meta_data_model
catalog_entry_metadata_model['compliance'] = ['testString']
catalog_entry_metadata_model['sla'] = sla_meta_data_model
catalog_entry_metadata_model['callbacks'] = callbacks_model
catalog_entry_metadata_model['original_name'] = 'testString'
catalog_entry_metadata_model['version'] = 'testString'
catalog_entry_metadata_model['other'] = {}
catalog_entry_metadata_model['pricing'] = catalog_entry_metadata_pricing_model
catalog_entry_metadata_model['deployment'] = catalog_entry_metadata_deployment_model
catalog_entry_model = {} # CatalogEntry
catalog_entry_model['name'] = 'testString'
catalog_entry_model['kind'] = 'service'
catalog_entry_model['overview_ui'] = {}
catalog_entry_model['images'] = image_model
catalog_entry_model['parent_id'] = 'testString'
catalog_entry_model['disabled'] = True
catalog_entry_model['tags'] = ['testString']
catalog_entry_model['group'] = True
catalog_entry_model['provider'] = provider_model
catalog_entry_model['active'] = True
catalog_entry_model['metadata'] = catalog_entry_metadata_model
catalog_entry_model['id'] = 'testString'
catalog_entry_model['catalog_crn'] = 'testString'
catalog_entry_model['url'] = 'testString'
catalog_entry_model['children_url'] = 'testString'
catalog_entry_model['geo_tags'] = ['testString']
catalog_entry_model['pricing_tags'] = ['testString']
catalog_entry_model['created'] = '2020-01-28T18:40:40.123456Z'
catalog_entry_model['updated'] = '2020-01-28T18:40:40.123456Z'
# Construct a json representation of a EntrySearchResult model
entry_search_result_model_json = {}
entry_search_result_model_json['offset'] = 38
entry_search_result_model_json['limit'] = 38
entry_search_result_model_json['count'] = 38
entry_search_result_model_json['resource_count'] = 38
entry_search_result_model_json['first'] = 'testString'
entry_search_result_model_json['last'] = 'testString'
entry_search_result_model_json['prev'] = 'testString'
entry_search_result_model_json['next'] = 'testString'
entry_search_result_model_json['resources'] = [catalog_entry_model]
# Construct a model instance of EntrySearchResult by calling from_dict on the json representation
entry_search_result_model = EntrySearchResult.from_dict(entry_search_result_model_json)
assert entry_search_result_model != False
# Construct a model instance of EntrySearchResult by calling from_dict on the json representation
entry_search_result_model_dict = EntrySearchResult.from_dict(entry_search_result_model_json).__dict__
entry_search_result_model2 = EntrySearchResult(**entry_search_result_model_dict)
# Verify the model instances are equivalent
assert entry_search_result_model == entry_search_result_model2
# Convert model instance back to dict and verify no loss of data
entry_search_result_model_json2 = entry_search_result_model.to_dict()
assert entry_search_result_model_json2 == entry_search_result_model_json
class TestImage():
"""
Test Class for Image
"""
def test_image_serialization(self):
"""
Test serialization/deserialization for Image
"""
# Construct a json representation of a Image model
image_model_json = {}
image_model_json['image'] = 'testString'
image_model_json['small_image'] = 'testString'
image_model_json['medium_image'] = 'testString'
image_model_json['feature_image'] = 'testString'
# Construct a model instance of Image by calling from_dict on the json representation
image_model = Image.from_dict(image_model_json)
assert image_model != False
# Construct a model instance of Image by calling from_dict on the json representation
image_model_dict = Image.from_dict(image_model_json).__dict__
image_model2 = Image(**image_model_dict)
# Verify the model instances are equivalent
assert image_model == image_model2
# Convert model instance back to dict and verify no loss of data
image_model_json2 = image_model.to_dict()
assert image_model_json2 == image_model_json
class TestMessage():
"""
Test Class for Message
"""
def test_message_serialization(self):
"""
Test serialization/deserialization for Message
"""
# Construct dict forms of any model objects needed in order to build this model.
visibility_detail_accounts_model = {} # VisibilityDetailAccounts
visibility_detail_accounts_model['_accountid_'] = 'testString'
visibility_detail_model = {} # VisibilityDetail
visibility_detail_model['accounts'] = visibility_detail_accounts_model
visibility_model = {} # Visibility
visibility_model['restrictions'] = 'testString'
visibility_model['owner'] = 'testString'
visibility_model['extendable'] = True
visibility_model['include'] = visibility_detail_model
visibility_model['exclude'] = visibility_detail_model
visibility_model['approved'] = True
# Construct a json representation of a Message model
message_model_json = {}
message_model_json['id'] = 'testString'
message_model_json['effective'] = visibility_model
message_model_json['time'] = '2020-01-28T18:40:40.123456Z'
message_model_json['who_id'] = 'testString'
message_model_json['who_name'] = 'testString'
message_model_json['who_email'] = 'testString'
message_model_json['instance'] = 'testString'
message_model_json['gid'] = 'testString'
message_model_json['type'] = 'testString'
message_model_json['message'] = 'testString'
message_model_json['data'] = {}
# Construct a model instance of Message by calling from_dict on the json representation
message_model = Message.from_dict(message_model_json)
assert message_model != False
# Construct a model instance of Message by calling from_dict on the json representation
message_model_dict = Message.from_dict(message_model_json).__dict__
message_model2 = Message(**message_model_dict)
# Verify the model instances are equivalent
assert message_model == message_model2
# Convert model instance back to dict and verify no loss of data
message_model_json2 = message_model.to_dict()
assert message_model_json2 == message_model_json
class TestMetrics():
"""
Test Class for Metrics
"""
def test_metrics_serialization(self):
"""
Test serialization/deserialization for Metrics
"""
# Construct dict forms of any model objects needed in order to build this model.
price_model = {} # Price
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
amount_model = {} # Amount
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
# Construct a json representation of a Metrics model
metrics_model_json = {}
metrics_model_json['part_ref'] = 'testString'
metrics_model_json['metric_id'] = 'testString'
metrics_model_json['tier_model'] = 'testString'
metrics_model_json['charge_unit'] = 'testString'
metrics_model_json['charge_unit_name'] = 'testString'
metrics_model_json['charge_unit_quantity'] = 'testString'
metrics_model_json['resource_display_name'] = 'testString'
metrics_model_json['charge_unit_display_name'] = 'testString'
metrics_model_json['usage_cap_qty'] = 38
metrics_model_json['display_cap'] = 38
metrics_model_json['effective_from'] = '2020-01-28T18:40:40.123456Z'
metrics_model_json['effective_until'] = '2020-01-28T18:40:40.123456Z'
metrics_model_json['amounts'] = [amount_model]
# Construct a model instance of Metrics by calling from_dict on the json representation
metrics_model = Metrics.from_dict(metrics_model_json)
assert metrics_model != False
# Construct a model instance of Metrics by calling from_dict on the json representation
metrics_model_dict = Metrics.from_dict(metrics_model_json).__dict__
metrics_model2 = Metrics(**metrics_model_dict)
# Verify the model instances are equivalent
assert metrics_model == metrics_model2
# Convert model instance back to dict and verify no loss of data
metrics_model_json2 = metrics_model.to_dict()
assert metrics_model_json2 == metrics_model_json
class TestObjectMetadataSet():
"""
Test Class for ObjectMetadataSet
"""
def test_object_metadata_set_serialization(self):
"""
Test serialization/deserialization for ObjectMetadataSet
"""
# Construct dict forms of any model objects needed in order to build this model.
cf_meta_data_model = {} # CFMetaData
cf_meta_data_model['type'] = 'testString'
cf_meta_data_model['iam_compatible'] = True
cf_meta_data_model['unique_api_key'] = True
cf_meta_data_model['provisionable'] = True
cf_meta_data_model['bindable'] = True
cf_meta_data_model['async_provisioning_supported'] = True
cf_meta_data_model['async_unprovisioning_supported'] = True
cf_meta_data_model['requires'] = ['testString']
cf_meta_data_model['plan_updateable'] = True
cf_meta_data_model['state'] = 'testString'
cf_meta_data_model['service_check_enabled'] = True
cf_meta_data_model['test_check_interval'] = 38
cf_meta_data_model['service_key_supported'] = True
cf_meta_data_model['cf_guid'] = {}
plan_meta_data_model = {} # PlanMetaData
plan_meta_data_model['bindable'] = True
plan_meta_data_model['reservable'] = True
plan_meta_data_model['allow_internal_users'] = True
plan_meta_data_model['async_provisioning_supported'] = True
plan_meta_data_model['async_unprovisioning_supported'] = True
plan_meta_data_model['test_check_interval'] = 38
plan_meta_data_model['single_scope_instance'] = 'testString'
plan_meta_data_model['service_check_enabled'] = True
plan_meta_data_model['cf_guid'] = {}
alias_meta_data_model = {} # AliasMetaData
alias_meta_data_model['type'] = 'testString'
alias_meta_data_model['plan_id'] = 'testString'
source_meta_data_model = {} # SourceMetaData
source_meta_data_model['path'] = 'testString'
source_meta_data_model['type'] = 'testString'
source_meta_data_model['url'] = 'testString'
template_meta_data_model = {} # TemplateMetaData
template_meta_data_model['services'] = ['testString']
template_meta_data_model['default_memory'] = 38
template_meta_data_model['start_cmd'] = 'testString'
template_meta_data_model['source'] = source_meta_data_model
template_meta_data_model['runtime_catalog_id'] = 'testString'
template_meta_data_model['cf_runtime_id'] = 'testString'
template_meta_data_model['template_id'] = 'testString'
template_meta_data_model['executable_file'] = 'testString'
template_meta_data_model['buildpack'] = 'testString'
template_meta_data_model['environment_variables'] = {}
bullets_model = {} # Bullets
bullets_model['title'] = 'testString'
bullets_model['description'] = 'testString'
bullets_model['icon'] = 'testString'
bullets_model['quantity'] = 38
ui_meta_media_model = {} # UIMetaMedia
ui_meta_media_model['caption'] = 'testString'
ui_meta_media_model['thumbnail_url'] = 'testString'
ui_meta_media_model['type'] = 'testString'
ui_meta_media_model['URL'] = 'testString'
ui_meta_media_model['source'] = bullets_model
strings_model = {} # Strings
strings_model['bullets'] = [bullets_model]
strings_model['media'] = [ui_meta_media_model]
strings_model['not_creatable_msg'] = 'testString'
strings_model['not_creatable__robot_msg'] = 'testString'
strings_model['deprecation_warning'] = 'testString'
strings_model['popup_warning_message'] = 'testString'
strings_model['instruction'] = 'testString'
urls_model = {} # URLS
urls_model['doc_url'] = 'testString'
urls_model['instructions_url'] = 'testString'
urls_model['api_url'] = 'testString'
urls_model['create_url'] = 'testString'
urls_model['sdk_download_url'] = 'testString'
urls_model['terms_url'] = 'testString'
urls_model['custom_create_page_url'] = 'testString'
urls_model['catalog_details_url'] = 'testString'
urls_model['deprecation_doc_url'] = 'testString'
urls_model['dashboard_url'] = 'testString'
urls_model['registration_url'] = 'testString'
urls_model['apidocsurl'] = 'testString'
ui_meta_data_model = {} # UIMetaData
ui_meta_data_model['strings'] = {}
ui_meta_data_model['urls'] = urls_model
ui_meta_data_model['embeddable_dashboard'] = 'testString'
ui_meta_data_model['embeddable_dashboard_full_width'] = True
ui_meta_data_model['navigation_order'] = ['testString']
ui_meta_data_model['not_creatable'] = True
ui_meta_data_model['primary_offering_id'] = 'testString'
ui_meta_data_model['accessible_during_provision'] = True
ui_meta_data_model['side_by_side_index'] = 38
ui_meta_data_model['end_of_service_time'] = '2020-01-28T18:40:40.123456Z'
ui_meta_data_model['hidden'] = True
ui_meta_data_model['hide_lite_metering'] = True
ui_meta_data_model['no_upgrade_next_step'] = True
dr_meta_data_model = {} # DRMetaData
dr_meta_data_model['dr'] = True
dr_meta_data_model['description'] = 'testString'
sla_meta_data_model = {} # SLAMetaData
sla_meta_data_model['terms'] = 'testString'
sla_meta_data_model['tenancy'] = 'testString'
sla_meta_data_model['provisioning'] = 'testString'
sla_meta_data_model['responsiveness'] = 'testString'
sla_meta_data_model['dr'] = dr_meta_data_model
callbacks_model = {} # Callbacks
callbacks_model['controller_url'] = 'testString'
callbacks_model['broker_url'] = 'testString'
callbacks_model['broker_proxy_url'] = 'testString'
callbacks_model['dashboard_url'] = 'testString'
callbacks_model['dashboard_data_url'] = 'testString'
callbacks_model['dashboard_detail_tab_url'] = 'testString'
callbacks_model['dashboard_detail_tab_ext_url'] = 'testString'
callbacks_model['service_monitor_api'] = 'testString'
callbacks_model['service_monitor_app'] = 'testString'
callbacks_model['api_endpoint'] = {}
price_model = {} # Price
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
amount_model = {} # Amount
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
starting_price_model = {} # StartingPrice
starting_price_model['plan_id'] = 'testString'
starting_price_model['deployment_id'] = 'testString'
starting_price_model['unit'] = 'testString'
starting_price_model['amount'] = [amount_model]
pricing_set_model = {} # PricingSet
pricing_set_model['type'] = 'testString'
pricing_set_model['origin'] = 'testString'
pricing_set_model['starting_price'] = starting_price_model
broker_model = {} # Broker
broker_model['name'] = 'testString'
broker_model['guid'] = 'testString'
deployment_base_model = {} # DeploymentBase
deployment_base_model['location'] = 'testString'
deployment_base_model['location_url'] = 'testString'
deployment_base_model['original_location'] = 'testString'
deployment_base_model['target_crn'] = 'testString'
deployment_base_model['service_crn'] = 'testString'
deployment_base_model['mccp_id'] = 'testString'
deployment_base_model['broker'] = broker_model
deployment_base_model['supports_rc_migration'] = True
deployment_base_model['target_network'] = 'testString'
# Construct a json representation of a ObjectMetadataSet model
object_metadata_set_model_json = {}
object_metadata_set_model_json['rc_compatible'] = True
object_metadata_set_model_json['service'] = cf_meta_data_model
object_metadata_set_model_json['plan'] = plan_meta_data_model
object_metadata_set_model_json['alias'] = alias_meta_data_model
object_metadata_set_model_json['template'] = template_meta_data_model
object_metadata_set_model_json['ui'] = ui_meta_data_model
object_metadata_set_model_json['compliance'] = ['testString']
object_metadata_set_model_json['sla'] = sla_meta_data_model
object_metadata_set_model_json['callbacks'] = callbacks_model
object_metadata_set_model_json['original_name'] = 'testString'
object_metadata_set_model_json['version'] = 'testString'
object_metadata_set_model_json['other'] = {}
object_metadata_set_model_json['pricing'] = pricing_set_model
object_metadata_set_model_json['deployment'] = deployment_base_model
# Construct a model instance of ObjectMetadataSet by calling from_dict on the json representation
object_metadata_set_model = ObjectMetadataSet.from_dict(object_metadata_set_model_json)
assert object_metadata_set_model != False
# Construct a model instance of ObjectMetadataSet by calling from_dict on the json representation
object_metadata_set_model_dict = ObjectMetadataSet.from_dict(object_metadata_set_model_json).__dict__
object_metadata_set_model2 = ObjectMetadataSet(**object_metadata_set_model_dict)
# Verify the model instances are equivalent
assert object_metadata_set_model == object_metadata_set_model2
# Convert model instance back to dict and verify no loss of data
object_metadata_set_model_json2 = object_metadata_set_model.to_dict()
assert object_metadata_set_model_json2 == object_metadata_set_model_json
class TestOverview():
"""
Test Class for Overview
"""
def test_overview_serialization(self):
"""
Test serialization/deserialization for Overview
"""
# Construct a json representation of a Overview model
overview_model_json = {}
overview_model_json['display_name'] = 'testString'
overview_model_json['long_description'] = 'testString'
overview_model_json['description'] = 'testString'
overview_model_json['featured_description'] = 'testString'
# Construct a model instance of Overview by calling from_dict on the json representation
overview_model = Overview.from_dict(overview_model_json)
assert overview_model != False
# Construct a model instance of Overview by calling from_dict on the json representation
overview_model_dict = Overview.from_dict(overview_model_json).__dict__
overview_model2 = Overview(**overview_model_dict)
# Verify the model instances are equivalent
assert overview_model == overview_model2
# Convert model instance back to dict and verify no loss of data
overview_model_json2 = overview_model.to_dict()
assert overview_model_json2 == overview_model_json
class TestPlanMetaData():
"""
Test Class for PlanMetaData
"""
def test_plan_meta_data_serialization(self):
"""
Test serialization/deserialization for PlanMetaData
"""
# Construct a json representation of a PlanMetaData model
plan_meta_data_model_json = {}
plan_meta_data_model_json['bindable'] = True
plan_meta_data_model_json['reservable'] = True
plan_meta_data_model_json['allow_internal_users'] = True
plan_meta_data_model_json['async_provisioning_supported'] = True
plan_meta_data_model_json['async_unprovisioning_supported'] = True
plan_meta_data_model_json['test_check_interval'] = 38
plan_meta_data_model_json['single_scope_instance'] = 'testString'
plan_meta_data_model_json['service_check_enabled'] = True
plan_meta_data_model_json['cf_guid'] = {}
# Construct a model instance of PlanMetaData by calling from_dict on the json representation
plan_meta_data_model = PlanMetaData.from_dict(plan_meta_data_model_json)
assert plan_meta_data_model != False
# Construct a model instance of PlanMetaData by calling from_dict on the json representation
plan_meta_data_model_dict = PlanMetaData.from_dict(plan_meta_data_model_json).__dict__
plan_meta_data_model2 = PlanMetaData(**plan_meta_data_model_dict)
# Verify the model instances are equivalent
assert plan_meta_data_model == plan_meta_data_model2
# Convert model instance back to dict and verify no loss of data
plan_meta_data_model_json2 = plan_meta_data_model.to_dict()
assert plan_meta_data_model_json2 == plan_meta_data_model_json
class TestPrice():
"""
Test Class for Price
"""
def test_price_serialization(self):
"""
Test serialization/deserialization for Price
"""
# Construct a json representation of a Price model
price_model_json = {}
price_model_json['quantity_tier'] = 38
price_model_json['Price'] = 72.5
# Construct a model instance of Price by calling from_dict on the json representation
price_model = Price.from_dict(price_model_json)
assert price_model != False
# Construct a model instance of Price by calling from_dict on the json representation
price_model_dict = Price.from_dict(price_model_json).__dict__
price_model2 = Price(**price_model_dict)
# Verify the model instances are equivalent
assert price_model == price_model2
# Convert model instance back to dict and verify no loss of data
price_model_json2 = price_model.to_dict()
assert price_model_json2 == price_model_json
class TestPricingGet():
"""
Test Class for PricingGet
"""
def test_pricing_get_serialization(self):
"""
Test serialization/deserialization for PricingGet
"""
# Construct dict forms of any model objects needed in order to build this model.
price_model = {} # Price
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
amount_model = {} # Amount
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
starting_price_model = {} # StartingPrice
starting_price_model['plan_id'] = 'testString'
starting_price_model['deployment_id'] = 'testString'
starting_price_model['unit'] = 'testString'
starting_price_model['amount'] = [amount_model]
metrics_model = {} # Metrics
metrics_model['part_ref'] = 'testString'
metrics_model['metric_id'] = 'testString'
metrics_model['tier_model'] = 'testString'
metrics_model['charge_unit'] = 'testString'
metrics_model['charge_unit_name'] = 'testString'
metrics_model['charge_unit_quantity'] = 'testString'
metrics_model['resource_display_name'] = 'testString'
metrics_model['charge_unit_display_name'] = 'testString'
metrics_model['usage_cap_qty'] = 38
metrics_model['display_cap'] = 38
metrics_model['effective_from'] = '2020-01-28T18:40:40.123456Z'
metrics_model['effective_until'] = '2020-01-28T18:40:40.123456Z'
metrics_model['amounts'] = [amount_model]
# Construct a json representation of a PricingGet model
pricing_get_model_json = {}
pricing_get_model_json['type'] = 'testString'
pricing_get_model_json['origin'] = 'testString'
pricing_get_model_json['starting_price'] = starting_price_model
pricing_get_model_json['metrics'] = [metrics_model]
# Construct a model instance of PricingGet by calling from_dict on the json representation
pricing_get_model = PricingGet.from_dict(pricing_get_model_json)
assert pricing_get_model != False
# Construct a model instance of PricingGet by calling from_dict on the json representation
pricing_get_model_dict = PricingGet.from_dict(pricing_get_model_json).__dict__
pricing_get_model2 = PricingGet(**pricing_get_model_dict)
# Verify the model instances are equivalent
assert pricing_get_model == pricing_get_model2
# Convert model instance back to dict and verify no loss of data
pricing_get_model_json2 = pricing_get_model.to_dict()
assert pricing_get_model_json2 == pricing_get_model_json
class TestPricingSet():
"""
Test Class for PricingSet
"""
def test_pricing_set_serialization(self):
"""
Test serialization/deserialization for PricingSet
"""
# Construct dict forms of any model objects needed in order to build this model.
price_model = {} # Price
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
amount_model = {} # Amount
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
starting_price_model = {} # StartingPrice
starting_price_model['plan_id'] = 'testString'
starting_price_model['deployment_id'] = 'testString'
starting_price_model['unit'] = 'testString'
starting_price_model['amount'] = [amount_model]
# Construct a json representation of a PricingSet model
pricing_set_model_json = {}
pricing_set_model_json['type'] = 'testString'
pricing_set_model_json['origin'] = 'testString'
pricing_set_model_json['starting_price'] = starting_price_model
# Construct a model instance of PricingSet by calling from_dict on the json representation
pricing_set_model = PricingSet.from_dict(pricing_set_model_json)
assert pricing_set_model != False
# Construct a model instance of PricingSet by calling from_dict on the json representation
pricing_set_model_dict = PricingSet.from_dict(pricing_set_model_json).__dict__
pricing_set_model2 = PricingSet(**pricing_set_model_dict)
# Verify the model instances are equivalent
assert pricing_set_model == pricing_set_model2
# Convert model instance back to dict and verify no loss of data
pricing_set_model_json2 = pricing_set_model.to_dict()
assert pricing_set_model_json2 == pricing_set_model_json
class TestProvider():
"""
Test Class for Provider
"""
def test_provider_serialization(self):
"""
Test serialization/deserialization for Provider
"""
# Construct a json representation of a Provider model
provider_model_json = {}
provider_model_json['email'] = 'testString'
provider_model_json['name'] = 'testString'
provider_model_json['contact'] = 'testString'
provider_model_json['support_email'] = 'testString'
provider_model_json['phone'] = 'testString'
# Construct a model instance of Provider by calling from_dict on the json representation
provider_model = Provider.from_dict(provider_model_json)
assert provider_model != False
# Construct a model instance of Provider by calling from_dict on the json representation
provider_model_dict = Provider.from_dict(provider_model_json).__dict__
provider_model2 = Provider(**provider_model_dict)
# Verify the model instances are equivalent
assert provider_model == provider_model2
# Convert model instance back to dict and verify no loss of data
provider_model_json2 = provider_model.to_dict()
assert provider_model_json2 == provider_model_json
class TestSLAMetaData():
"""
Test Class for SLAMetaData
"""
def test_sla_meta_data_serialization(self):
"""
Test serialization/deserialization for SLAMetaData
"""
# Construct dict forms of any model objects needed in order to build this model.
dr_meta_data_model = {} # DRMetaData
dr_meta_data_model['dr'] = True
dr_meta_data_model['description'] = 'testString'
# Construct a json representation of a SLAMetaData model
sla_meta_data_model_json = {}
sla_meta_data_model_json['terms'] = 'testString'
sla_meta_data_model_json['tenancy'] = 'testString'
sla_meta_data_model_json['provisioning'] = 'testString'
sla_meta_data_model_json['responsiveness'] = 'testString'
sla_meta_data_model_json['dr'] = dr_meta_data_model
# Construct a model instance of SLAMetaData by calling from_dict on the json representation
sla_meta_data_model = SLAMetaData.from_dict(sla_meta_data_model_json)
assert sla_meta_data_model != False
# Construct a model instance of SLAMetaData by calling from_dict on the json representation
sla_meta_data_model_dict = SLAMetaData.from_dict(sla_meta_data_model_json).__dict__
sla_meta_data_model2 = SLAMetaData(**sla_meta_data_model_dict)
# Verify the model instances are equivalent
assert sla_meta_data_model == sla_meta_data_model2
# Convert model instance back to dict and verify no loss of data
sla_meta_data_model_json2 = sla_meta_data_model.to_dict()
assert sla_meta_data_model_json2 == sla_meta_data_model_json
class TestSourceMetaData():
"""
Test Class for SourceMetaData
"""
def test_source_meta_data_serialization(self):
"""
Test serialization/deserialization for SourceMetaData
"""
# Construct a json representation of a SourceMetaData model
source_meta_data_model_json = {}
source_meta_data_model_json['path'] = 'testString'
source_meta_data_model_json['type'] = 'testString'
source_meta_data_model_json['url'] = 'testString'
# Construct a model instance of SourceMetaData by calling from_dict on the json representation
source_meta_data_model = SourceMetaData.from_dict(source_meta_data_model_json)
assert source_meta_data_model != False
# Construct a model instance of SourceMetaData by calling from_dict on the json representation
source_meta_data_model_dict = SourceMetaData.from_dict(source_meta_data_model_json).__dict__
source_meta_data_model2 = SourceMetaData(**source_meta_data_model_dict)
# Verify the model instances are equivalent
assert source_meta_data_model == source_meta_data_model2
# Convert model instance back to dict and verify no loss of data
source_meta_data_model_json2 = source_meta_data_model.to_dict()
assert source_meta_data_model_json2 == source_meta_data_model_json
class TestStartingPrice():
"""
Test Class for StartingPrice
"""
def test_starting_price_serialization(self):
"""
Test serialization/deserialization for StartingPrice
"""
# Construct dict forms of any model objects needed in order to build this model.
price_model = {} # Price
price_model['quantity_tier'] = 38
price_model['Price'] = 72.5
amount_model = {} # Amount
amount_model['country'] = 'testString'
amount_model['currency'] = 'testString'
amount_model['prices'] = [price_model]
# Construct a json representation of a StartingPrice model
starting_price_model_json = {}
starting_price_model_json['plan_id'] = 'testString'
starting_price_model_json['deployment_id'] = 'testString'
starting_price_model_json['unit'] = 'testString'
starting_price_model_json['amount'] = [amount_model]
# Construct a model instance of StartingPrice by calling from_dict on the json representation
starting_price_model = StartingPrice.from_dict(starting_price_model_json)
assert starting_price_model != False
# Construct a model instance of StartingPrice by calling from_dict on the json representation
starting_price_model_dict = StartingPrice.from_dict(starting_price_model_json).__dict__
starting_price_model2 = StartingPrice(**starting_price_model_dict)
# Verify the model instances are equivalent
assert starting_price_model == starting_price_model2
# Convert model instance back to dict and verify no loss of data
starting_price_model_json2 = starting_price_model.to_dict()
assert starting_price_model_json2 == starting_price_model_json
class TestStrings():
"""
Test Class for Strings
"""
def test_strings_serialization(self):
"""
Test serialization/deserialization for Strings
"""
# Construct dict forms of any model objects needed in order to build this model.
bullets_model = {} # Bullets
bullets_model['title'] = 'testString'
bullets_model['description'] = 'testString'
bullets_model['icon'] = 'testString'
bullets_model['quantity'] = 38
ui_meta_media_model = {} # UIMetaMedia
ui_meta_media_model['caption'] = 'testString'
ui_meta_media_model['thumbnail_url'] = 'testString'
ui_meta_media_model['type'] = 'testString'
ui_meta_media_model['URL'] = 'testString'
ui_meta_media_model['source'] = bullets_model
# Construct a json representation of a Strings model
strings_model_json = {}
strings_model_json['bullets'] = [bullets_model]
strings_model_json['media'] = [ui_meta_media_model]
strings_model_json['not_creatable_msg'] = 'testString'
strings_model_json['not_creatable__robot_msg'] = 'testString'
strings_model_json['deprecation_warning'] = 'testString'
strings_model_json['popup_warning_message'] = 'testString'
strings_model_json['instruction'] = 'testString'
# Construct a model instance of Strings by calling from_dict on the json representation
strings_model = Strings.from_dict(strings_model_json)
assert strings_model != False
# Construct a model instance of Strings by calling from_dict on the json representation
strings_model_dict = Strings.from_dict(strings_model_json).__dict__
strings_model2 = Strings(**strings_model_dict)
# Verify the model instances are equivalent
assert strings_model == strings_model2
# Convert model instance back to dict and verify no loss of data
strings_model_json2 = strings_model.to_dict()
assert strings_model_json2 == strings_model_json
class TestTemplateMetaData():
"""
Test Class for TemplateMetaData
"""
def test_template_meta_data_serialization(self):
"""
Test serialization/deserialization for TemplateMetaData
"""
# Construct dict forms of any model objects needed in order to build this model.
source_meta_data_model = {} # SourceMetaData
source_meta_data_model['path'] = 'testString'
source_meta_data_model['type'] = 'testString'
source_meta_data_model['url'] = 'testString'
# Construct a json representation of a TemplateMetaData model
template_meta_data_model_json = {}
template_meta_data_model_json['services'] = ['testString']
template_meta_data_model_json['default_memory'] = 38
template_meta_data_model_json['start_cmd'] = 'testString'
template_meta_data_model_json['source'] = source_meta_data_model
template_meta_data_model_json['runtime_catalog_id'] = 'testString'
template_meta_data_model_json['cf_runtime_id'] = 'testString'
template_meta_data_model_json['template_id'] = 'testString'
template_meta_data_model_json['executable_file'] = 'testString'
template_meta_data_model_json['buildpack'] = 'testString'
template_meta_data_model_json['environment_variables'] = {}
# Construct a model instance of TemplateMetaData by calling from_dict on the json representation
template_meta_data_model = TemplateMetaData.from_dict(template_meta_data_model_json)
assert template_meta_data_model != False
# Construct a model instance of TemplateMetaData by calling from_dict on the json representation
template_meta_data_model_dict = TemplateMetaData.from_dict(template_meta_data_model_json).__dict__
template_meta_data_model2 = TemplateMetaData(**template_meta_data_model_dict)
# Verify the model instances are equivalent
assert template_meta_data_model == template_meta_data_model2
# Convert model instance back to dict and verify no loss of data
template_meta_data_model_json2 = template_meta_data_model.to_dict()
assert template_meta_data_model_json2 == template_meta_data_model_json
class TestUIMetaData():
"""
Test Class for UIMetaData
"""
def test_ui_meta_data_serialization(self):
"""
Test serialization/deserialization for UIMetaData
"""
# Construct dict forms of any model objects needed in order to build this model.
bullets_model = {} # Bullets
bullets_model['title'] = 'testString'
bullets_model['description'] = 'testString'
bullets_model['icon'] = 'testString'
bullets_model['quantity'] = 38
ui_meta_media_model = {} # UIMetaMedia
ui_meta_media_model['caption'] = 'testString'
ui_meta_media_model['thumbnail_url'] = 'testString'
ui_meta_media_model['type'] = 'testString'
ui_meta_media_model['URL'] = 'testString'
ui_meta_media_model['source'] = bullets_model
strings_model = {} # Strings
strings_model['bullets'] = [bullets_model]
strings_model['media'] = [ui_meta_media_model]
strings_model['not_creatable_msg'] = 'testString'
strings_model['not_creatable__robot_msg'] = 'testString'
strings_model['deprecation_warning'] = 'testString'
strings_model['popup_warning_message'] = 'testString'
strings_model['instruction'] = 'testString'
urls_model = {} # URLS
urls_model['doc_url'] = 'testString'
urls_model['instructions_url'] = 'testString'
urls_model['api_url'] = 'testString'
urls_model['create_url'] = 'testString'
urls_model['sdk_download_url'] = 'testString'
urls_model['terms_url'] = 'testString'
urls_model['custom_create_page_url'] = 'testString'
urls_model['catalog_details_url'] = 'testString'
urls_model['deprecation_doc_url'] = 'testString'
urls_model['dashboard_url'] = 'testString'
urls_model['registration_url'] = 'testString'
urls_model['apidocsurl'] = 'testString'
# Construct a json representation of a UIMetaData model
ui_meta_data_model_json = {}
ui_meta_data_model_json['strings'] = {}
ui_meta_data_model_json['urls'] = urls_model
ui_meta_data_model_json['embeddable_dashboard'] = 'testString'
ui_meta_data_model_json['embeddable_dashboard_full_width'] = True
ui_meta_data_model_json['navigation_order'] = ['testString']
ui_meta_data_model_json['not_creatable'] = True
ui_meta_data_model_json['primary_offering_id'] = 'testString'
ui_meta_data_model_json['accessible_during_provision'] = True
ui_meta_data_model_json['side_by_side_index'] = 38
ui_meta_data_model_json['end_of_service_time'] = '2020-01-28T18:40:40.123456Z'
ui_meta_data_model_json['hidden'] = True
ui_meta_data_model_json['hide_lite_metering'] = True
ui_meta_data_model_json['no_upgrade_next_step'] = True
# Construct a model instance of UIMetaData by calling from_dict on the json representation
ui_meta_data_model = UIMetaData.from_dict(ui_meta_data_model_json)
assert ui_meta_data_model != False
# Construct a model instance of UIMetaData by calling from_dict on the json representation
ui_meta_data_model_dict = UIMetaData.from_dict(ui_meta_data_model_json).__dict__
ui_meta_data_model2 = UIMetaData(**ui_meta_data_model_dict)
# Verify the model instances are equivalent
assert ui_meta_data_model == ui_meta_data_model2
# Convert model instance back to dict and verify no loss of data
ui_meta_data_model_json2 = ui_meta_data_model.to_dict()
assert ui_meta_data_model_json2 == ui_meta_data_model_json
class TestUIMetaMedia():
"""
Test Class for UIMetaMedia
"""
def test_ui_meta_media_serialization(self):
"""
Test serialization/deserialization for UIMetaMedia
"""
# Construct dict forms of any model objects needed in order to build this model.
bullets_model = {} # Bullets
bullets_model['title'] = 'testString'
bullets_model['description'] = 'testString'
bullets_model['icon'] = 'testString'
bullets_model['quantity'] = 38
# Construct a json representation of a UIMetaMedia model
ui_meta_media_model_json = {}
ui_meta_media_model_json['caption'] = 'testString'
ui_meta_media_model_json['thumbnail_url'] = 'testString'
ui_meta_media_model_json['type'] = 'testString'
ui_meta_media_model_json['URL'] = 'testString'
ui_meta_media_model_json['source'] = bullets_model
# Construct a model instance of UIMetaMedia by calling from_dict on the json representation
ui_meta_media_model = UIMetaMedia.from_dict(ui_meta_media_model_json)
assert ui_meta_media_model != False
# Construct a model instance of UIMetaMedia by calling from_dict on the json representation
ui_meta_media_model_dict = UIMetaMedia.from_dict(ui_meta_media_model_json).__dict__
ui_meta_media_model2 = UIMetaMedia(**ui_meta_media_model_dict)
# Verify the model instances are equivalent
assert ui_meta_media_model == ui_meta_media_model2
# Convert model instance back to dict and verify no loss of data
ui_meta_media_model_json2 = ui_meta_media_model.to_dict()
assert ui_meta_media_model_json2 == ui_meta_media_model_json
class TestURLS():
"""
Test Class for URLS
"""
def test_urls_serialization(self):
"""
Test serialization/deserialization for URLS
"""
# Construct a json representation of a URLS model
urls_model_json = {}
urls_model_json['doc_url'] = 'testString'
urls_model_json['instructions_url'] = 'testString'
urls_model_json['api_url'] = 'testString'
urls_model_json['create_url'] = 'testString'
urls_model_json['sdk_download_url'] = 'testString'
urls_model_json['terms_url'] = 'testString'
urls_model_json['custom_create_page_url'] = 'testString'
urls_model_json['catalog_details_url'] = 'testString'
urls_model_json['deprecation_doc_url'] = 'testString'
urls_model_json['dashboard_url'] = 'testString'
urls_model_json['registration_url'] = 'testString'
urls_model_json['apidocsurl'] = 'testString'
# Construct a model instance of URLS by calling from_dict on the json representation
urls_model = URLS.from_dict(urls_model_json)
assert urls_model != False
# Construct a model instance of URLS by calling from_dict on the json representation
urls_model_dict = URLS.from_dict(urls_model_json).__dict__
urls_model2 = URLS(**urls_model_dict)
# Verify the model instances are equivalent
assert urls_model == urls_model2
# Convert model instance back to dict and verify no loss of data
urls_model_json2 = urls_model.to_dict()
assert urls_model_json2 == urls_model_json
class TestVisibility():
"""
Test Class for Visibility
"""
def test_visibility_serialization(self):
"""
Test serialization/deserialization for Visibility
"""
# Construct dict forms of any model objects needed in order to build this model.
visibility_detail_accounts_model = {} # VisibilityDetailAccounts
visibility_detail_accounts_model['_accountid_'] = 'testString'
visibility_detail_model = {} # VisibilityDetail
visibility_detail_model['accounts'] = visibility_detail_accounts_model
# Construct a json representation of a Visibility model
visibility_model_json = {}
visibility_model_json['restrictions'] = 'testString'
visibility_model_json['owner'] = 'testString'
visibility_model_json['extendable'] = True
visibility_model_json['include'] = visibility_detail_model
visibility_model_json['exclude'] = visibility_detail_model
visibility_model_json['approved'] = True
# Construct a model instance of Visibility by calling from_dict on the json representation
visibility_model = Visibility.from_dict(visibility_model_json)
assert visibility_model != False
# Construct a model instance of Visibility by calling from_dict on the json representation
visibility_model_dict = Visibility.from_dict(visibility_model_json).__dict__
visibility_model2 = Visibility(**visibility_model_dict)
# Verify the model instances are equivalent
assert visibility_model == visibility_model2
# Convert model instance back to dict and verify no loss of data
visibility_model_json2 = visibility_model.to_dict()
assert visibility_model_json2 == visibility_model_json
class TestVisibilityDetail():
"""
Test Class for VisibilityDetail
"""
def test_visibility_detail_serialization(self):
"""
Test serialization/deserialization for VisibilityDetail
"""
# Construct dict forms of any model objects needed in order to build this model.
visibility_detail_accounts_model = {} # VisibilityDetailAccounts
visibility_detail_accounts_model['_accountid_'] = 'testString'
# Construct a json representation of a VisibilityDetail model
visibility_detail_model_json = {}
visibility_detail_model_json['accounts'] = visibility_detail_accounts_model
# Construct a model instance of VisibilityDetail by calling from_dict on the json representation
visibility_detail_model = VisibilityDetail.from_dict(visibility_detail_model_json)
assert visibility_detail_model != False
# Construct a model instance of VisibilityDetail by calling from_dict on the json representation
visibility_detail_model_dict = VisibilityDetail.from_dict(visibility_detail_model_json).__dict__
visibility_detail_model2 = VisibilityDetail(**visibility_detail_model_dict)
# Verify the model instances are equivalent
assert visibility_detail_model == visibility_detail_model2
# Convert model instance back to dict and verify no loss of data
visibility_detail_model_json2 = visibility_detail_model.to_dict()
assert visibility_detail_model_json2 == visibility_detail_model_json
class TestVisibilityDetailAccounts():
"""
Test Class for VisibilityDetailAccounts
"""
def test_visibility_detail_accounts_serialization(self):
"""
Test serialization/deserialization for VisibilityDetailAccounts
"""
# Construct a json representation of a VisibilityDetailAccounts model
visibility_detail_accounts_model_json = {}
visibility_detail_accounts_model_json['_accountid_'] = 'testString'
# Construct a model instance of VisibilityDetailAccounts by calling from_dict on the json representation
visibility_detail_accounts_model = VisibilityDetailAccounts.from_dict(visibility_detail_accounts_model_json)
assert visibility_detail_accounts_model != False
# Construct a model instance of VisibilityDetailAccounts by calling from_dict on the json representation
visibility_detail_accounts_model_dict = VisibilityDetailAccounts.from_dict(visibility_detail_accounts_model_json).__dict__
visibility_detail_accounts_model2 = VisibilityDetailAccounts(**visibility_detail_accounts_model_dict)
# Verify the model instances are equivalent
assert visibility_detail_accounts_model == visibility_detail_accounts_model2
# Convert model instance back to dict and verify no loss of data
visibility_detail_accounts_model_json2 = visibility_detail_accounts_model.to_dict()
assert visibility_detail_accounts_model_json2 == visibility_detail_accounts_model_json
# endregion
##############################################################################
# End of Model Tests
##############################################################################
| 55.403686 | 5,309 | 0.670396 | 34,671 | 306,604 | 5.542759 | 0.014652 | 0.03859 | 0.061086 | 0.014518 | 0.953766 | 0.928746 | 0.891801 | 0.870148 | 0.849323 | 0.827634 | 0 | 0.012659 | 0.200268 | 306,604 | 5,533 | 5,310 | 55.4137 | 0.771078 | 0.113381 | 0 | 0.777172 | 0 | 0.007083 | 0.43316 | 0.107066 | 0 | 0 | 0 | 0 | 0.072187 | 1 | 0.026151 | false | 0 | 0.003269 | 0 | 0.051757 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
fc0c2a4170724d5b1843e2250ed661beab1b4b26 | 8,972 | py | Python | src/tests/project_test.py | ucsb-cs148-s21/1pm-we-connect | 27b4e04c85619f1e369c142c6a93e109f30a13f3 | [
"Apache-2.0"
] | null | null | null | src/tests/project_test.py | ucsb-cs148-s21/1pm-we-connect | 27b4e04c85619f1e369c142c6a93e109f30a13f3 | [
"Apache-2.0"
] | 1 | 2021-05-27T23:37:10.000Z | 2021-05-27T23:37:10.000Z | src/tests/project_test.py | ucsb-cs148-s21/1pm-we-connect | 27b4e04c85619f1e369c142c6a93e109f30a13f3 | [
"Apache-2.0"
] | 1 | 2021-05-28T20:33:13.000Z | 2021-05-28T20:33:13.000Z | from ..models import formModel, tagModel, PTRelation
from flask import url_for
import json
def test_post_request(client):
form = {"author": "thanawat", "projectName": "hello", "contactInfo": "111-111-1111", "projectDescription": "hello world", "tags": "hello"}
res = client.post(
url_for("route.projects"),
headers={"Content-Type": "application/json"},
data= json.dumps(form)
)
assert res.status_code == 200
# returns None if data is not found
data = formModel.query.filter_by(projectName="hello").first()
# Makes sure data is added properly
assert data != None
assert data.author == "thanawat"
assert data.projectName == "hello"
assert data.contactInfo == "111-111-1111"
assert data.projectDescription == "hello world"
# Makes sure the tags are added properly
tag_data = tagModel.query.filter_by(name="hello").first()
assert tag_data != None
# Makes sure PTRelation is correctly relating posts to tags
ptr_data = PTRelation.query.filter_by(projectID=data.id).first()
assert ptr_data != None
assert ptr_data.tagName == "hello"
def test_project_get_request(client):
# To use the url_for use <Blueprint-name>.<route name>
res = client.get(url_for("route.projects"))
# run "pytest -s" to get see print result
# to get the response, use: res.json
assert res.status_code == 200
# same form object as before. This assumes that the previous post test already ran(whcih adds the form to the database).
# This test makes sure that the GET request value matches the POST request value(minus the tags)
form = {"author": "thanawat", "projectName": "hello", "contactInfo": "111-111-1111", "projectDescription": "hello world", "tags": "hello"}
resForm = list(res.json.values())[0]
assert form == resForm
#Test makes sure multiple tags can get entered
def test_post_request(client):
form = {"author": "thanawat",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob,math,science"}
res = client.post(
url_for("route.projects"),
headers={"Content-Type": "application/json"},
data= json.dumps(form)
)
assert res.status_code == 200
# returns None if data is not found
data = formModel.query.filter_by(projectName="hello").first()
# Makes sure data is added properly
assert data != None
assert data.author == "thanawat"
assert data.projectName == "hello"
assert data.contactInfo == "111-111-1111"
assert data.projectDescription == "hello world"
# Makes sure the tags are added properly
tag_data = tagModel.query.filter_by(name="hello").first()
assert tag_data.name == "hello"
tag_data = tagModel.query.filter_by(name="cs").first()
assert tag_data.name == "cs"
tag_data = tagModel.query.filter_by(name="prob").first()
assert tag_data.name == "prob"
tag_data = tagModel.query.filter_by(name="math").first()
assert tag_data.name == "math"
tag_data = tagModel.query.filter_by(name="science").first()
assert tag_data.name == "science"
# Makes sure PTRelation is correctly relating posts to tags
ptr_data = PTRelation.query.filter_by(projectID=data.id)
assert ptr_data != None
for row in ptr_data:
assert row.tagName != None
#Test checks to see if multiple tags can be returned in a get request
def test_getMultipleTags(client):
form = {"author": "thanawat",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob,math,science"
}
res = client.get(url_for("route.projects"))
assert res.status_code == 200
resForm = list(res.json.values())[0]
assert form == resForm
#tests top K
def test_topKTags(client):
#inserting a few forms
form = {"author": "thanawat",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob,math,science"}
res = client.post(
url_for("route.projects"),
headers={"Content-Type": "application/json"},
data= json.dumps(form)
)
form = {"author": "thanawat",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob,math"}
res = client.post(
url_for("route.projects"),
headers={"Content-Type": "application/json"},
data= json.dumps(form)
)
form = {"author": "thanawat",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob"}
res = client.post(
url_for("route.projects"),
headers={"Content-Type": "application/json"},
data= json.dumps(form)
)
#I don't know if this syntax is right with the /
res = client.get(url_for("route.popular/4"))
assert res.status_code == 200
#I also don't know the exact return type of res so might be wrong
resForm = {"tags": {"hello": 3, "cs":3, "prob":3, "math":2}}
assert res == resForm
#Note to Surendra - as of writing this the search route doesn't have tags included in the returned dictionary.
#I made the test with the expectation that you added it, but if we decide not to, feel free to edit the test
def test_searchBySingleTag(client):
#inserting a few forms
form = {"author": "thanawat",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob,math,science"}
res = client.post(
url_for("route.projects"),
headers={"Content-Type": "application/json"},
data= json.dumps(form)
)
form = {"author": "thanawat2",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob,math"}
res = client.post(
url_for("route.projects"),
headers={"Content-Type": "application/json"},
data= json.dumps(form)
)
form = {"author": "thanawat3",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob"}
res = client.post(
url_for("route.projects"),
headers={"Content-Type": "application/json"},
data= json.dumps(form)
)
#I don't know if this syntax is right with the /
res = client.get(url_for("route.search/math"))
assert res.status_code == 200
#I also don't know the exact return type of res so might be wrong
assert res.values() == {
{"author": "thanawat",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob,math,science"},
{"author": "thanawat2",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob,math"},
}
def test_searchByMultipleTags(client):
#inserting a few forms
form = {"author": "thanawat",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob,math,science"}
res = client.post(
url_for("route.projects"),
headers={"Content-Type": "application/json"},
data= json.dumps(form)
)
form = {"author": "thanawat2",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob,math"}
res = client.post(
url_for("route.projects"),
headers={"Content-Type": "application/json"},
data= json.dumps(form)
)
form = {"author": "thanawat3",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob"}
res = client.post(
url_for("route.projects"),
headers={"Content-Type": "application/json"},
data= json.dumps(form)
)
#I don't know if this syntax is right with the /
res = client.get(url_for("route.search/science,hello"))
assert res.status_code == 200
#I also don't know the exact return type of res so might be wrong
assert res.values() == {
{"author": "thanawat",
"projectName": "hello",
"contactInfo": "111-111-1111",
"projectDescription": "hello world",
"tags": "hello,cs,prob,math,science"},
}
| 34.507692 | 142 | 0.601315 | 1,061 | 8,972 | 5.024505 | 0.147974 | 0.060026 | 0.0574 | 0.070906 | 0.82311 | 0.797599 | 0.797599 | 0.763647 | 0.763647 | 0.74789 | 0 | 0.031944 | 0.256799 | 8,972 | 259 | 143 | 34.640927 | 0.767546 | 0.156933 | 0 | 0.764398 | 0 | 0 | 0.316788 | 0.027605 | 0 | 0 | 0 | 0 | 0.167539 | 1 | 0.036649 | false | 0 | 0.015707 | 0 | 0.052356 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
fc3d0b72db361c3a2220721e3dd696f771a15c8c | 25,388 | py | Python | code/generate_grammar/hollo1996/NounPhraseGenerator/basicNP.py | Judiiith/semantic_parsing_with_IRTGs | f7f82482d8850ee5e0775af0639c0b4f95ad8226 | [
"MIT"
] | 5 | 2019-05-15T08:00:11.000Z | 2021-03-31T01:42:02.000Z | code/generate_grammar/hollo1996/NounPhraseGenerator/basicNP.py | Judiiith/semantic_parsing_with_IRTGs | f7f82482d8850ee5e0775af0639c0b4f95ad8226 | [
"MIT"
] | null | null | null | code/generate_grammar/hollo1996/NounPhraseGenerator/basicNP.py | Judiiith/semantic_parsing_with_IRTGs | f7f82482d8850ee5e0775af0639c0b4f95ad8226 | [
"MIT"
] | 3 | 2018-10-17T10:40:25.000Z | 2021-06-04T05:36:01.000Z | from Data import *
from Dependency import *
from Fourlang import *
"""
//NounPhrase out of one Word
//NP(WD(stuff))
NP -> one_WD(WD)
[tree] NP(?1)
[ud] ?1
[fourlang] ?1
"""
#This is the function that generates 2 wide, 1 high NP-s.
def basicUnariNP():
result=""
datas=Data.fromFile("Data/Input/NP/np_1x1_trees", "Data/Input/NP/np_1x1_terms", "Data/Input/NP/np_1x1_deps", 1642)
uniqData={}
for i in range(len(datas)-1,-1,-1):
if not (uniqData.keys().__contains__(datas[i].tree.wordLess)):
uniqData[datas[i].tree.wordLess]=datas[i]
for input in uniqData.values():
result+="\n"
result+="//NounPhrase out of one " + input.words[0].type.Longer + ".\n"
result+="//" + input.tree.stanford+"\n"
result+="//" + input.tree.tagTree+"\n"
result+="NP -> one_" + input.words[0].type.Shortest.replace("basic", "") + "(" + input.words[0].type.Shortest + ")\n"
result+="[string] ?1\n"
result+="[tree] NP(?1)\n"
result+="[ud] ?1\n"
result+="[fourlang] ?1\n"
return result
"""
//NounPhrase out of a Word1 (whitch is a Modifier1) and a Word2.
//(NP (WD1 stuff) (WD2 stuff))
NP -> mod1_WD1_WD2(WD1, WD2)
[tree] NP2(?1,?2)
[ud] merge(f_dep(merge("(r<root> :mod1 (d<dep>))", r_dep(?1))),?2)
[fourlang] merge(f_dep(merge("(r<root> :_ (d<dep>))", r_dep(?1))),?2)
"""
#This is the function that generates 1 wide, 1 high NP-s.
def basicBinaryNP():
reverse = False
connected = False
sameType = False
result = ""
datas = Data.fromFile("Data/Input/NP/np_1x2_trees", "Data/Input/NP/np_1x2_terms", "Data/Input/NP/np_1x2_deps", 4633)
uniqData = {}
for i in range(len(datas)-1,-1,-1):
if not (uniqData.keys().__contains__(datas[i].tree.wordLess)):
uniqData[datas[i].tree.wordLess] = datas[i]
for input in uniqData.values():
result+="\n"
connected = len(input.dependencies) > 1
sameType = input.words[0].type.Shortest == input.words[1].type.Shortest
if connected:
if input.dependencies[1].depType.Shortest == "root":
input.dependencies[0], input.dependencies[1] = input.dependencies[1], input.dependencies[0]
reverse = input.words[1].word == input.dependencies[0].endWord
if not reverse:
result += ("//NounPhrase out of a " + input.words[0].type.Longer +
" (which is a " + input.dependencies[1].depType.Longest +
") and a " + input.words[1].type.Longer + ".\n")
else:
result += ("//NounPhrase out of a " + input.words[0].type.Longer +
"and a " + input.words[1].type.Longer +
" (which is a " + input.dependencies[1].depType.Longest + "). \n")
else:
if sameType != sameType:
result += ("//NounPhrase out of a " + input.words[0].type.Longer + " and a" + input.words[
1].type.Longer + ".\n")
else:
result += ("//NounPhrase out of two " + input.words[0].type.Longer + "-s.\n")
result += ("//NP2" + input.tree.tagTree[2:] + "\n")
result += ("//" + input.tree.stanford + "\n")
if len(input.dependencies) <= 1:
result += ("NP -> undependent_" + input.words[1].type.Shortest.replace("basic", "") +
"_" + input.words[0].type.Shortest.replace("basic", "") +
"(" + input.words[1].type.Shortest +
"," + input.words[0].type.Shortest + ")\n")
else:
result += ("NP -> "+Digiter.toDigited(input.dependencies[1].depType.Shortest)+"_" + input.words[1].type.Shortest.replace("basic", "") +
"_" + input.words[0].type.Shortest.replace("basic", "") +
"(" + input.words[1].type.Shortest +
"," + input.words[0].type.Shortest + ")\n")
result+="[string] *(?1,?2)\n"
result += "[tree] NP2(?1,?2)\n"
reverse = input.words[1].word == input.dependencies[0].endWord
if connected:
if not reverse:
result += ("[ud] merge(f_dep(merge(\"(r<root> :" + input.dependencies[
1].depType.Shortest + " (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[ud] merge(f_dep(merge(\"(r<root> :" + input.dependencies[
1].depType.Shortest + " (d<dep>))\", r_dep(?1))),?2)\n")
else:
if not reverse:
result += ("[ud] ?1\n")
else:
result += ("[ud] ?2\n")
if connected:
if input.dependencies[1].flangType == Fourlang._None:
if not reverse:
result += ("[fourlang] ?2\n")
else:
result += ("[fourlang] ?1\n")
elif input.dependencies[1].flangType == Fourlang.OneBack_at_TwoTo:
if not reverse:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root>/AT :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?2))), r_dep1(?1)))\n")
else:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root>/AT :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?2))), r_dep1(?2)))\n")
elif input.dependencies[1].flangType == Fourlang.OneBack_has_TwoTo:
if not reverse:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root>/HAS :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?2))), r_dep1(?1)))\n")
else:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root>/HAS :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?1))), r_dep1(?2)))\n")
elif input.dependencies[1].flangType == Fourlang.OneBack__TwoTo:
if not reverse:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root> :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?2))), r_dep1(?1)))\n")
else:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root> :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?1))), r_dep1(?2)))\n")
elif input.dependencies[1].flangType == Fourlang.OneTo_ZeroBack:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :1 (d<dep> :0 (r<root>)))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :1 (d<dep> :0 (r<root>)))\", r_dep(?1))),?2)\n")
elif input.dependencies[1].flangType == Fourlang.Zero:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0 (d<dep> :0 (r<root>)))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0 (d<dep> :0 (r<root>)))\", r_dep(?1))),?2)\n")
elif input.dependencies[1].flangType == Fourlang.ZeroFlat:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0_flat (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0_flat (d<dep>))\", r_dep(?1))),?2)\n")
elif input.dependencies[1].flangType == Fourlang.ZeroCompound:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0_compound (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0_compound (d<dep>))\", r_dep(?1))),?2)\n")
elif input.dependencies[1].flangType == Fourlang.ZeroTo:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0 (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0 (d<dep>))\", r_dep(?1))),?2)\n")
elif input.dependencies[1].flangType == Fourlang.UnderTo:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :_ (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :_ (d<dep>))\", r_dep(?1))),?2)\n")
elif input.dependencies[1].flangType == Fourlang.TwoTo:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :2 (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :2 (d<dep>))\", r_dep(?1))),?2)\n")
else:
if not reverse:
result += ("[fourlang] ?1\n")
else:
result += ("[fourlang] ?2\n")
else:
if not reverse:
result += ("[fourlang] ?1\n")
else:
result += ("[fourlang] ?2\n")
return result
"""
1. Reading in the data
2. format the wordless trees
3. clean data from redundancy
4. sort the data into categories
5. generate the right text depending on the category
NP( VB( ), NN( ), NNS( ))
"""
#This is the function that generates 3 wide, 1 high NP-s.
def basicTernaryNPTail():
reverse = False
connected = False
sameType = False
result = ""
datas = Data.fromFile("Data/Input/NP/np_1x3_trees", "Data/Input/NP/np_1x3_terms", "Data/Input/NP/np_1x3_deps", 2884)
for input in datas:
tmp=input.tree.wordLess.split(" ")
input.tree.wordLess=tmp[0]+" ...( "+tmp[2]+" "+tmp[3]+" "+tmp[4]+" "+tmp[5]+" "+tmp[6]
uniqData = {}
for i in range(len(datas)-1,-1,-1):
if not (uniqData.keys().__contains__(datas[i].tree.wordLess)):
uniqData[datas[i].tree.wordLess] = datas[i]
for input in uniqData.values():
input.words.remove(input.words[2])
place=-1
for index in range(0,len(input.dependencies)):
if ((input.dependencies[index].startWord == input.words[0].word and input.dependencies[index].endWord == input.words[1].word)
or (input.dependencies[index].startWord == input.words[1].word and input.dependencies[index].endWord == input.words[0].word)):
place=index
if place != -1:
input.dependencies=[input.dependencies[place]]
else:
input.dependencies=[]
result+="\n"
connected = len(input.dependencies) ==1
sameType = input.words[0].type.Shortest == input.words[1].type.Shortest
if connected:
reverse = input.words[1].word == input.dependencies[0].startWord
if not reverse:
result += ("//End of a NounPhrase out of a " + input.words[1].type.Longer +
" (which is a " + input.dependencies[0].depType.Longest +
") and a " + input.words[0].type.Longer + ".\n")
else:
result += ("//End of a NounPhrase End out of a " + input.words[1].type.Longer +
"and a " + input.words[0].type.Longer +
" (which is a " + input.dependencies[0].depType.Longest + "). \n")
else:
if sameType != sameType:
result += ("//End of a NounPhrase End out of a " + input.words[1].type.Longer +
" and a" + input.words[0].type.Longer + ".\n")
else:
result += ("//End of a NounPhrase End out of two " + input.words[0].type.Longer + "-s.\n")
result += ("//NP3" + input.tree.tagTree[2:] + "\n")
result += ("//" + input.tree.stanford + "\n")
if len(input.dependencies)==1:
result += ("NP_BAR -> "+Digiter.toDigited(input.dependencies[0].depType.Shortest)+"_" + input.words[1].type.Shortest.replace("basic", "") +
"_" + input.words[0].type.Shortest.replace("basic", "") +
"_Tail(" + input.words[1].type.Shortest +
"," + input.words[0].type.Shortest + ")\n")
else:
result += ("NP_BAR -> undependent_" + input.words[1].type.Shortest.replace("basic", "") +
"_" + input.words[0].type.Shortest.replace("basic", "") +
"_Tail(" + input.words[1].type.Shortest +
"," + input.words[0].type.Shortest + ")\n")
result+="[string] *(?1,?2)\n"
result += "[tree] NP3(*,?1,?2)\n"
if connected:
if not reverse:
result += ("[ud] merge(f_dep(merge(\"(r<root> :" + input.dependencies[
0].depType.Shortest + " (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[ud] merge(f_dep(merge(\"(r<root> :" + input.dependencies[
0].depType.Shortest + " (d<dep>))\", r_dep(?1))),?2)\n")
else:
if not reverse:
result += ("[ud] ?1\n")
else:
result += ("[ud] ?2\n")
if connected:
if input.dependencies[0].flangType == Fourlang._None:
if not reverse:
result += ("[fourlang] ?2\n")
else:
result += ("[fourlang] ?1\n")
elif input.dependencies[0].flangType == Fourlang.OneBack_at_TwoTo:
if not reverse:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root>/AT :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?2))), r_dep1(?1)))\n")
else:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root>/AT :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?2))), r_dep1(?2)))\n")
elif input.dependencies[0].flangType == Fourlang.OneBack_has_TwoTo:
if not reverse:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root>/HAS :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?2))), r_dep1(?1)))\n")
else:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root>/HAS :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?1))), r_dep1(?2)))\n")
elif input.dependencies[0].flangType == Fourlang.OneBack__TwoTo:
if not reverse:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root> :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?2))), r_dep1(?1)))\n")
else:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root> :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?1))), r_dep1(?2)))\n")
elif input.dependencies[0].flangType == Fourlang.OneTo_ZeroBack:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :1 (d<dep> :0 (r<root>)))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :1 (d<dep> :0 (r<root>)))\", r_dep(?1))),?2)\n")
elif input.dependencies[0].flangType == Fourlang.Zero:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0 (d<dep> :0 (r<root>)))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0 (d<dep> :0 (r<root>)))\", r_dep(?1))),?2)\n")
elif input.dependencies[0].flangType == Fourlang.ZeroFlat:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0_flat (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0_flat (d<dep>))\", r_dep(?1))),?2)\n")
elif input.dependencies[0].flangType == Fourlang.ZeroCompound:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0_compound (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0_compound (d<dep>))\", r_dep(?1))),?2)\n")
elif input.dependencies[0].flangType == Fourlang.ZeroTo:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0 (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0 (d<dep>))\", r_dep(?1))),?2)\n")
elif input.dependencies[0].flangType == Fourlang.UnderTo:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :_ (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :_ (d<dep>))\", r_dep(?1))),?2)\n")
elif input.dependencies[0].flangType == Fourlang.TwoTo:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :2 (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :2 (d<dep>))\", r_dep(?1))),?2)\n")
else:
if not reverse:
result += ("[fourlang] ?1\n")
else:
result += ("[fourlang] ?2\n")
else:
if not reverse:
result += ("[fourlang] ?1\n")
else:
result += ("[fourlang] ?2\n")
return result
"""
NP( VB( ), NN( ), NNS( ))
"""
def basicTernaryNPComplete():
reverse = False
connected = False
result = ""
datas = Data.fromFile("Data/Input/NP/np_1x3_trees", "Data/Input/NP/np_1x3_terms", "Data/Input/NP/np_1x3_deps", 2884)
for input in datas:
tmp=input.tree.wordLess.split(" ")
input.tree.wordLess=tmp[0]+" "+tmp[1]+" "+tmp[2]+" ...( "+tmp[4]+" ...( "+tmp[6]
uniqData = {}
for i in range(len(datas)-1,-1,-1):
if not (uniqData.keys().__contains__(datas[i].tree.wordLess)):
uniqData[datas[i].tree.wordLess] = datas[i]
for input in uniqData.values():
input.words.remove(input.words[1])
input.words.remove(input.words[0])
place=-1
for index in range(0,len(input.dependencies)):
if ((input.dependencies[index].startWord == input.words[0].word or input.dependencies[index].endWord == input.words[0].word)):
place=index
break
if place != -1:
input.dependencies=[input.dependencies[place]]
else:
input.dependencies=[]
if(len(input.dependencies)==0 or input.dependencies[0].depType.Shortest=="root"):
print("root")
result+="\n"
connected = len(input.dependencies) == 1
if connected:
reverse = input.words[0].word == input.dependencies[0].endWord
if not reverse:
result += ("//a long NounPhrase out of a " + input.words[0].type.Longer +
" (which is a " + input.dependencies[0].depType.Longest +
") and a NounPhrase Bar.\n")
else:
result += ("//a long NounPhrase out of a NounPhrase Bar and a " + input.words[0].type.Longer +
" (which is a " + input.dependencies[0].depType.Longest + "). \n")
else:
result += ("//a long NounPhrase out of a " + input.words[0].type.Longer +
" and a NounPhrase Bar.\n")
result += ("//NP3" + input.tree.tagTree[2:] + "\n")
result += ("//" + input.tree.stanford + "\n")
if len(input.dependencies)==1:
result += ("NP -> "+Digiter.toDigited(input.dependencies[0].depType.Shortest)+"_" + input.words[0].type.Shortest.replace("basic", "") +
"_NPBAR_Tail(" + input.words[0].type.Shortest +
", NP_BAR)\n")
else:
result += ("NP -> unconnected_" + input.words[0].type.Shortest.replace("basic", "") +
"_NPBAR(" + input.words[0].type.Shortest +
", NP_BAR)\n")
result+="[string] *(?1,?2)\n"
result += "[tree] @(?2,?1)\n"
if connected:
if not reverse:
result += ("[ud] merge(f_dep(merge(\"(r<root> :" + input.dependencies[
0].depType.Shortest + " (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[ud] merge(f_dep(merge(\"(r<root> :" + input.dependencies[
0].depType.Shortest + " (d<dep>))\", r_dep(?1))),?2)\n")
else:
if not reverse:
result += ("[ud] ?1\n")
else:
result += ("[ud] ?2\n")
if connected:
if input.dependencies[0].flangType == Fourlang._None:
if not reverse:
result += ("[fourlang] ?2\n")
else:
result += ("[fourlang] ?1\n")
elif input.dependencies[0].flangType == Fourlang.OneBack_at_TwoTo:
if not reverse:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root>/AT :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?2))), r_dep1(?1)))\n")
else:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root>/AT :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?2))), r_dep1(?2)))\n")
elif input.dependencies[0].flangType == Fourlang.OneBack_has_TwoTo:
if not reverse:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root>/HAS :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?2))), r_dep1(?1)))\n")
else:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root>/HAS :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?1))), r_dep1(?2)))\n")
elif input.dependencies[0].flangType == Fourlang.OneBack__TwoTo:
if not reverse:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root> :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?2))), r_dep1(?1)))\n")
else:
result += (
"[fourlang] f_dep1(merge(f_dep2(merge(\"(r<root> :1 d1<dep1> :2 (d2<dep2>))\", r_dep2(?1))), r_dep1(?2)))\n")
elif input.dependencies[0].flangType == Fourlang.OneTo_ZeroBack:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :1 (d<dep> :0 (r<root>)))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :1 (d<dep> :0 (r<root>)))\", r_dep(?1))),?2)\n")
elif input.dependencies[0].flangType == Fourlang.Zero:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0 (d<dep> :0 (r<root>)))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0 (d<dep> :0 (r<root>)))\", r_dep(?1))),?2)\n")
elif input.dependencies[0].flangType == Fourlang.ZeroFlat:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0_flat (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0_flat (d<dep>))\", r_dep(?1))),?2)\n")
elif input.dependencies[0].flangType == Fourlang.ZeroCompound:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0_compound (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0_compound (d<dep>))\", r_dep(?1))),?2)\n")
elif input.dependencies[0].flangType == Fourlang.ZeroTo:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0 (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :0 (d<dep>))\", r_dep(?1))),?2)\n")
elif input.dependencies[0].flangType == Fourlang.UnderTo:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :_ (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :_ (d<dep>))\", r_dep(?1))),?2)\n")
elif input.dependencies[0].flangType == Fourlang.TwoTo:
if not reverse:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :2 (d<dep>))\", r_dep(?2))),?1)\n")
else:
result += ("[fourlang] merge(f_dep(merge(\"(r<root> :2 (d<dep>))\", r_dep(?1))),?2)\n")
else:
if not reverse:
result += ("[fourlang] ?1\n")
else:
result += ("[fourlang] ?2\n")
else:
if not reverse:
result += ("[fourlang] ?1\n")
else:
result += ("[fourlang] ?2\n")
return result
| 49.976378 | 151 | 0.481842 | 3,077 | 25,388 | 3.885278 | 0.050049 | 0.033459 | 0.05688 | 0.058553 | 0.939272 | 0.912422 | 0.887662 | 0.882811 | 0.855625 | 0.834881 | 0 | 0.036692 | 0.322633 | 25,388 | 507 | 152 | 50.074951 | 0.658487 | 0.006617 | 0 | 0.828704 | 0 | 0 | 0.211145 | 0.032415 | 0 | 0 | 0 | 0 | 0 | 1 | 0.009259 | false | 0 | 0.006944 | 0 | 0.025463 | 0.002315 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
fc45d5ab448e59c8f698c36d7effb9c4dba5eae3 | 93,766 | py | Python | sympy/integrals/rubi/rubi_tests/tests/test_secant.py | gum3ng/sympy | e9414fafa976b26aa0b701a0217ab0f3b561989f | [
"BSD-3-Clause"
] | 1 | 2020-09-09T20:40:17.000Z | 2020-09-09T20:40:17.000Z | sympy/integrals/rubi/rubi_tests/tests/test_secant.py | gum3ng/sympy | e9414fafa976b26aa0b701a0217ab0f3b561989f | [
"BSD-3-Clause"
] | 14 | 2018-02-08T10:11:03.000Z | 2019-04-16T10:32:46.000Z | sympy/integrals/rubi/rubi_tests/tests/test_secant.py | gum3ng/sympy | e9414fafa976b26aa0b701a0217ab0f3b561989f | [
"BSD-3-Clause"
] | 1 | 2020-09-09T20:41:34.000Z | 2020-09-09T20:41:34.000Z | import sys
from sympy.external import import_module
matchpy = import_module("matchpy")
if not matchpy:
#bin/test will not execute any tests now
disabled = True
if sys.version_info[:2] < (3, 6):
disabled = True
from sympy.integrals.rubi.utility_function import (
sympy_op_factory, Int, Sum, Set, With, Module, Scan, MapAnd, FalseQ,
ZeroQ, NegativeQ, NonzeroQ, FreeQ, NFreeQ, List, Log, PositiveQ,
PositiveIntegerQ, NegativeIntegerQ, IntegerQ, IntegersQ,
ComplexNumberQ, PureComplexNumberQ, RealNumericQ, PositiveOrZeroQ,
NegativeOrZeroQ, FractionOrNegativeQ, NegQ, Equal, Unequal, IntPart,
FracPart, RationalQ, ProductQ, SumQ, NonsumQ, Subst, First, Rest,
SqrtNumberQ, SqrtNumberSumQ, LinearQ, Sqrt, ArcCosh, Coefficient,
Denominator, Hypergeometric2F1, Not, Simplify, FractionalPart,
IntegerPart, AppellF1, EllipticPi, EllipticE, EllipticF, ArcTan,
ArcCot, ArcCoth, ArcTanh, ArcSin, ArcSinh, ArcCos, ArcCsc, ArcSec,
ArcCsch, ArcSech, Sinh, Tanh, Cosh, Sech, Csch, Coth, LessEqual, Less,
Greater, GreaterEqual, FractionQ, IntLinearcQ, Expand, IndependentQ,
PowerQ, IntegerPowerQ, PositiveIntegerPowerQ, FractionalPowerQ, AtomQ,
ExpQ, LogQ, Head, MemberQ, TrigQ, SinQ, CosQ, TanQ, CotQ, SecQ, CscQ,
Sin, Cos, Tan, Cot, Sec, Csc, HyperbolicQ, SinhQ, CoshQ, TanhQ, CothQ,
SechQ, CschQ, InverseTrigQ, SinCosQ, SinhCoshQ, LeafCount, Numerator,
NumberQ, NumericQ, Length, ListQ, Im, Re, InverseHyperbolicQ,
InverseFunctionQ, TrigHyperbolicFreeQ, InverseFunctionFreeQ, RealQ,
EqQ, FractionalPowerFreeQ, ComplexFreeQ, PolynomialQ, FactorSquareFree,
PowerOfLinearQ, Exponent, QuadraticQ, LinearPairQ, BinomialParts,
TrinomialParts, PolyQ, EvenQ, OddQ, PerfectSquareQ, NiceSqrtAuxQ,
NiceSqrtQ, Together, PosAux, PosQ, CoefficientList, ReplaceAll,
ExpandLinearProduct, GCD, ContentFactor, NumericFactor,
NonnumericFactors, MakeAssocList, GensymSubst, KernelSubst,
ExpandExpression, Apart, SmartApart, MatchQ,
PolynomialQuotientRemainder, FreeFactors, NonfreeFactors,
RemoveContentAux, RemoveContent, FreeTerms, NonfreeTerms,
ExpandAlgebraicFunction, CollectReciprocals, ExpandCleanup,
AlgebraicFunctionQ, Coeff, LeadTerm, RemainingTerms, LeadFactor,
RemainingFactors, LeadBase, LeadDegree, Numer, Denom, hypergeom, Expon,
MergeMonomials, PolynomialDivide, BinomialQ, TrinomialQ,
GeneralizedBinomialQ, GeneralizedTrinomialQ, FactorSquareFreeList,
PerfectPowerTest, SquareFreeFactorTest, RationalFunctionQ,
RationalFunctionFactors, NonrationalFunctionFactors, Reverse,
RationalFunctionExponents, RationalFunctionExpand, ExpandIntegrand,
SimplerQ, SimplerSqrtQ, SumSimplerQ, BinomialDegree, TrinomialDegree,
CancelCommonFactors, SimplerIntegrandQ, GeneralizedBinomialDegree,
GeneralizedBinomialParts, GeneralizedTrinomialDegree,
GeneralizedTrinomialParts, MonomialQ, MonomialSumQ,
MinimumMonomialExponent, MonomialExponent, LinearMatchQ,
PowerOfLinearMatchQ, QuadraticMatchQ, CubicMatchQ, BinomialMatchQ,
TrinomialMatchQ, GeneralizedBinomialMatchQ, GeneralizedTrinomialMatchQ,
QuotientOfLinearsMatchQ, PolynomialTermQ, PolynomialTerms,
NonpolynomialTerms, PseudoBinomialParts, NormalizePseudoBinomial,
PseudoBinomialPairQ, PseudoBinomialQ, PolynomialGCD, PolyGCD,
AlgebraicFunctionFactors, NonalgebraicFunctionFactors,
QuotientOfLinearsP, QuotientOfLinearsParts, QuotientOfLinearsQ,
Flatten, Sort, AbsurdNumberQ, AbsurdNumberFactors,
NonabsurdNumberFactors, SumSimplerAuxQ, Prepend, Drop,
CombineExponents, FactorInteger, FactorAbsurdNumber,
SubstForInverseFunction, SubstForFractionalPower,
SubstForFractionalPowerOfQuotientOfLinears,
FractionalPowerOfQuotientOfLinears, SubstForFractionalPowerQ,
SubstForFractionalPowerAuxQ, FractionalPowerOfSquareQ,
FractionalPowerSubexpressionQ, Apply, FactorNumericGcd,
MergeableFactorQ, MergeFactor, MergeFactors, TrigSimplifyQ,
TrigSimplify, TrigSimplifyRecur, Order, FactorOrder, Smallest,
OrderedQ, MinimumDegree, PositiveFactors, Sign, NonpositiveFactors,
PolynomialInAuxQ, PolynomialInQ, ExponentInAux, ExponentIn,
PolynomialInSubstAux, PolynomialInSubst, Distrib, DistributeDegree,
FunctionOfPower, DivideDegreesOfFactors, MonomialFactor, FullSimplify,
FunctionOfLinearSubst, FunctionOfLinear, NormalizeIntegrand,
NormalizeIntegrandAux, NormalizeIntegrandFactor,
NormalizeIntegrandFactorBase, NormalizeTogether,
NormalizeLeadTermSigns, AbsorbMinusSign, NormalizeSumFactors,
SignOfFactor, NormalizePowerOfLinear, SimplifyIntegrand, SimplifyTerm,
TogetherSimplify, SmartSimplify, SubstForExpn, ExpandToSum, UnifySum,
UnifyTerms, UnifyTerm, CalculusQ, FunctionOfInverseLinear,
PureFunctionOfSinhQ, PureFunctionOfTanhQ, PureFunctionOfCoshQ,
IntegerQuotientQ, OddQuotientQ, EvenQuotientQ, FindTrigFactor,
FunctionOfSinhQ, FunctionOfCoshQ, OddHyperbolicPowerQ, FunctionOfTanhQ,
FunctionOfTanhWeight, FunctionOfHyperbolicQ, SmartNumerator,
SmartDenominator, SubstForAux, ActivateTrig, ExpandTrig, TrigExpand,
SubstForTrig, SubstForHyperbolic, InertTrigFreeQ, LCM,
SubstForFractionalPowerOfLinear, FractionalPowerOfLinear,
InverseFunctionOfLinear, InertTrigQ, InertReciprocalQ, DeactivateTrig,
FixInertTrigFunction, DeactivateTrigAux, PowerOfInertTrigSumQ,
PiecewiseLinearQ, KnownTrigIntegrandQ, KnownSineIntegrandQ,
KnownTangentIntegrandQ, KnownCotangentIntegrandQ,
KnownSecantIntegrandQ, TryPureTanSubst, TryTanhSubst, TryPureTanhSubst,
AbsurdNumberGCD, AbsurdNumberGCDList, ExpandTrigExpand,
ExpandTrigReduce, ExpandTrigReduceAux, NormalizeTrig, TrigToExp,
ExpandTrigToExp, TrigReduce, FunctionOfTrig, AlgebraicTrigFunctionQ,
FunctionOfHyperbolic, FunctionOfQ, FunctionOfExpnQ, PureFunctionOfSinQ,
PureFunctionOfCosQ, PureFunctionOfTanQ, PureFunctionOfCotQ,
FunctionOfCosQ, FunctionOfSinQ, OddTrigPowerQ, FunctionOfTanQ,
FunctionOfTanWeight, FunctionOfTrigQ, FunctionOfDensePolynomialsQ,
FunctionOfLog, PowerVariableExpn, PowerVariableDegree,
PowerVariableSubst, EulerIntegrandQ, FunctionOfSquareRootOfQuadratic,
SquareRootOfQuadraticSubst, Divides, EasyDQ, ProductOfLinearPowersQ,
Rt, NthRoot, AtomBaseQ, SumBaseQ, NegSumBaseQ, AllNegTermQ,
SomeNegTermQ, TrigSquareQ, RtAux, TrigSquare, IntSum, IntTerm, Map2,
ConstantFactor, SameQ, ReplacePart, CommonFactors,
MostMainFactorPosition, FunctionOfExponentialQ, FunctionOfExponential,
FunctionOfExponentialFunction, FunctionOfExponentialFunctionAux,
FunctionOfExponentialTest, FunctionOfExponentialTestAux, stdev,
rubi_test, If, IntQuadraticQ, IntBinomialQ, RectifyTangent,
RectifyCotangent, Inequality, Condition, Simp, SimpHelp, SplitProduct,
SplitSum, SubstFor, SubstForAux, FresnelS, FresnelC, Erfc, Erfi, Gamma,
FunctionOfTrigOfLinearQ, ElementaryFunctionQ, Complex, UnsameQ,
_SimpFixFactor, SimpFixFactor, _FixSimplify, FixSimplify,
_SimplifyAntiderivativeSum, SimplifyAntiderivativeSum,
_SimplifyAntiderivative, SimplifyAntiderivative, _TrigSimplifyAux,
TrigSimplifyAux, Cancel, Part, PolyLog, D, Dist, Sum_doit, PolynomialQuotient, Floor,
PolynomialRemainder, Factor, PolyLog, CosIntegral, SinIntegral, LogIntegral, SinhIntegral,
CoshIntegral, Rule, Erf, PolyGamma, ExpIntegralEi, ExpIntegralE, LogGamma , UtilityOperator, Factorial,
Zeta, ProductLog, DerivativeDivides, HypergeometricPFQ, IntHide, OneQ
)
from sympy.core.add import Add
from sympy.core.mod import Mod
from sympy.core.mul import Mul
from sympy.core.numbers import (Float, I, Integer)
from sympy.core.power import Pow
from sympy.core.singleton import S
from sympy.functions.elementary.complexes import Abs
from sympy.functions.elementary.miscellaneous import sqrt
from sympy.integrals.integrals import Integral
from sympy.logic.boolalg import (And, Or)
from sympy.simplify.simplify import simplify
from sympy.integrals.rubi.symbol import WC
from sympy.core.symbol import symbols, Symbol
from sympy.functions import (sin, cos, tan, cot, csc, sec, sqrt, erf, exp, log)
from sympy.functions.elementary.hyperbolic import (acosh, asinh, atanh, acoth, acsch, asech, cosh, sinh, tanh, coth, sech, csch)
from sympy.functions.elementary.trigonometric import (atan, acsc, asin, acot, acos, asec)
from sympy.core.numbers import pi as Pi
from sympy.integrals.rubi.rubi import rubi_integrate
a, b, c, d, e, f, m, n, x, u , k, p, r, s, t, i, j= symbols('a b c d e f m n x u k p r s t i j')
A, B, C, D, a, b, c, d, e, f, g, h, y, z, m, n, p, q, u, v, w, F = symbols('A B C D a b c d e f g h y z m n p q u v w F', )
def test_1():
assert rubi_test(rubi_integrate(sec(a + b*x), x), x, atanh(sin(a + b*x))/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**S(2), x), x, tan(a + b*x)/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**S(3), x), x, tan(a + b*x)*sec(a + b*x)/(S(2)*b) + atanh(sin(a + b*x))/(S(2)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**S(4), x), x, tan(a + b*x)**S(3)/(S(3)*b) + tan(a + b*x)/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**S(5), x), x, tan(a + b*x)*sec(a + b*x)**S(3)/(S(4)*b) + S(3)*tan(a + b*x)*sec(a + b*x)/(S(8)*b) + S(3)*atanh(sin(a + b*x))/(S(8)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**S(6), x), x, tan(a + b*x)**S(5)/(S(5)*b) + S(2)*tan(a + b*x)**S(3)/(S(3)*b) + tan(a + b*x)/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**S(7), x), x, tan(a + b*x)*sec(a + b*x)**S(5)/(S(6)*b) + S(5)*tan(a + b*x)*sec(a + b*x)**S(3)/(S(24)*b) + S(5)*tan(a + b*x)*sec(a + b*x)/(S(16)*b) + S(5)*atanh(sin(a + b*x))/(S(16)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**S(8), x), x, tan(a + b*x)**S(7)/(S(7)*b) + S(3)*tan(a + b*x)**S(5)/(S(5)*b) + tan(a + b*x)**S(3)/b + tan(a + b*x)/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**(S(7)/2), x), x, -S(6)*EllipticE(a/S(2) + b*x/S(2), S(2))*sqrt(cos(a + b*x))*sqrt(sec(a + b*x))/(S(5)*b) + S(2)*sin(a + b*x)*sec(a + b*x)**(S(5)/2)/(S(5)*b) + S(6)*sin(a + b*x)*sqrt(sec(a + b*x))/(S(5)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**(S(5)/2), x), x, S(2)*EllipticF(a/S(2) + b*x/S(2), S(2))*sqrt(cos(a + b*x))*sqrt(sec(a + b*x))/(S(3)*b) + S(2)*sin(a + b*x)*sec(a + b*x)**(S(3)/2)/(S(3)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**(S(3)/2), x), x, -S(2)*EllipticE(a/S(2) + b*x/S(2), S(2))*sqrt(cos(a + b*x))*sqrt(sec(a + b*x))/b + S(2)*sin(a + b*x)*sqrt(sec(a + b*x))/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(sec(a + b*x)), x), x, S(2)*EllipticF(a/S(2) + b*x/S(2), S(2))*sqrt(cos(a + b*x))*sqrt(sec(a + b*x))/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/sqrt(sec(a + b*x)), x), x, S(2)*EllipticE(a/S(2) + b*x/S(2), S(2))*sqrt(cos(a + b*x))*sqrt(sec(a + b*x))/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**(S(-3)/2), x), x, S(2)*EllipticF(a/S(2) + b*x/S(2), S(2))*sqrt(cos(a + b*x))*sqrt(sec(a + b*x))/(S(3)*b) + S(2)*sin(a + b*x)/(S(3)*b*sqrt(sec(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**(S(-5)/2), x), x, S(6)*EllipticE(a/S(2) + b*x/S(2), S(2))*sqrt(cos(a + b*x))*sqrt(sec(a + b*x))/(S(5)*b) + S(2)*sin(a + b*x)/(S(5)*b*sec(a + b*x)**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**(S(-7)/2), x), x, S(10)*EllipticF(a/S(2) + b*x/S(2), S(2))*sqrt(cos(a + b*x))*sqrt(sec(a + b*x))/(S(21)*b) + S(10)*sin(a + b*x)/(S(21)*b*sqrt(sec(a + b*x))) + S(2)*sin(a + b*x)/(S(7)*b*sec(a + b*x)**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(7)/2), x), x, -S(6)*c**S(4)*EllipticE(a/S(2) + b*x/S(2), S(2))/(S(5)*b*sqrt(c*sec(a + b*x))*sqrt(cos(a + b*x))) + S(6)*c**S(3)*sqrt(c*sec(a + b*x))*sin(a + b*x)/(S(5)*b) + S(2)*c*(c*sec(a + b*x))**(S(5)/2)*sin(a + b*x)/(S(5)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(5)/2), x), x, S(2)*c**S(2)*sqrt(c*sec(a + b*x))*EllipticF(a/S(2) + b*x/S(2), S(2))*sqrt(cos(a + b*x))/(S(3)*b) + S(2)*c*(c*sec(a + b*x))**(S(3)/2)*sin(a + b*x)/(S(3)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(3)/2), x), x, -S(2)*c**S(2)*EllipticE(a/S(2) + b*x/S(2), S(2))/(b*sqrt(c*sec(a + b*x))*sqrt(cos(a + b*x))) + S(2)*c*sqrt(c*sec(a + b*x))*sin(a + b*x)/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(c*sec(a + b*x)), x), x, S(2)*sqrt(c*sec(a + b*x))*EllipticF(a/S(2) + b*x/S(2), S(2))*sqrt(cos(a + b*x))/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/sqrt(c*sec(a + b*x)), x), x, S(2)*EllipticE(a/S(2) + b*x/S(2), S(2))/(b*sqrt(c*sec(a + b*x))*sqrt(cos(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(-3)/2), x), x, S(2)*sin(a + b*x)/(S(3)*b*c*sqrt(c*sec(a + b*x))) + S(2)*sqrt(c*sec(a + b*x))*EllipticF(a/S(2) + b*x/S(2), S(2))*sqrt(cos(a + b*x))/(S(3)*b*c**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(-5)/2), x), x, S(2)*sin(a + b*x)/(S(5)*b*c*(c*sec(a + b*x))**(S(3)/2)) + S(6)*EllipticE(a/S(2) + b*x/S(2), S(2))/(S(5)*b*c**S(2)*sqrt(c*sec(a + b*x))*sqrt(cos(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(-7)/2), x), x, S(2)*sin(a + b*x)/(S(7)*b*c*(c*sec(a + b*x))**(S(5)/2)) + S(10)*sin(a + b*x)/(S(21)*b*c**S(3)*sqrt(c*sec(a + b*x))) + S(10)*sqrt(c*sec(a + b*x))*EllipticF(a/S(2) + b*x/S(2), S(2))*sqrt(cos(a + b*x))/(S(21)*b*c**S(4)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**(S(4)/3), x), x, S(3)*Hypergeometric2F1(S(-1)/6, S(1)/2, S(5)/6, cos(a + b*x)**S(2))*sin(a + b*x)*sec(a + b*x)**(S(1)/3)/(b*sqrt(sin(a + b*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**(S(2)/3), x), x, -S(3)*Hypergeometric2F1(S(1)/6, S(1)/2, S(7)/6, cos(a + b*x)**S(2))*sin(a + b*x)/(b*sqrt(sin(a + b*x)**S(2))*sec(a + b*x)**(S(1)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**(S(1)/3), x), x, -S(3)*Hypergeometric2F1(S(1)/3, S(1)/2, S(4)/3, cos(a + b*x)**S(2))*sin(a + b*x)/(S(2)*b*sqrt(sin(a + b*x)**S(2))*sec(a + b*x)**(S(2)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**(S(-1)/3), x), x, -S(3)*Hypergeometric2F1(S(1)/2, S(2)/3, S(5)/3, cos(a + b*x)**S(2))*sin(a + b*x)/(S(4)*b*sqrt(sin(a + b*x)**S(2))*sec(a + b*x)**(S(4)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**(S(-2)/3), x), x, -S(3)*Hypergeometric2F1(S(1)/2, S(5)/6, S(11)/6, cos(a + b*x)**S(2))*sin(a + b*x)/(S(5)*b*sqrt(sin(a + b*x)**S(2))*sec(a + b*x)**(S(5)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**(S(-4)/3), x), x, -S(3)*Hypergeometric2F1(S(1)/2, S(7)/6, S(13)/6, cos(a + b*x)**S(2))*sin(a + b*x)/(S(7)*b*sqrt(sin(a + b*x)**S(2))*sec(a + b*x)**(S(7)/3)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(4)/3), x), x, S(3)*c*(c*sec(a + b*x))**(S(1)/3)*Hypergeometric2F1(S(-1)/6, S(1)/2, S(5)/6, cos(a + b*x)**S(2))*sin(a + b*x)/(b*sqrt(sin(a + b*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(2)/3), x), x, -S(3)*c*Hypergeometric2F1(S(1)/6, S(1)/2, S(7)/6, cos(a + b*x)**S(2))*sin(a + b*x)/(b*(c*sec(a + b*x))**(S(1)/3)*sqrt(sin(a + b*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(1)/3), x), x, -S(3)*c*Hypergeometric2F1(S(1)/3, S(1)/2, S(4)/3, cos(a + b*x)**S(2))*sin(a + b*x)/(S(2)*b*(c*sec(a + b*x))**(S(2)/3)*sqrt(sin(a + b*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(-1)/3), x), x, -S(3)*c*Hypergeometric2F1(S(1)/2, S(2)/3, S(5)/3, cos(a + b*x)**S(2))*sin(a + b*x)/(S(4)*b*(c*sec(a + b*x))**(S(4)/3)*sqrt(sin(a + b*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(-2)/3), x), x, -S(3)*c*Hypergeometric2F1(S(1)/2, S(5)/6, S(11)/6, cos(a + b*x)**S(2))*sin(a + b*x)/(S(5)*b*(c*sec(a + b*x))**(S(5)/3)*sqrt(sin(a + b*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(-4)/3), x), x, -S(3)*c*Hypergeometric2F1(S(1)/2, S(7)/6, S(13)/6, cos(a + b*x)**S(2))*sin(a + b*x)/(S(7)*b*(c*sec(a + b*x))**(S(7)/3)*sqrt(sin(a + b*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(a + b*x)**n, x), x, -Hypergeometric2F1(S(1)/2, -n/S(2) + S(1)/2, -n/S(2) + S(3)/2, cos(a + b*x)**S(2))*sin(a + b*x)*sec(a + b*x)**(n + S(-1))/(b*(-n + S(1))*sqrt(sin(a + b*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**n, x), x, -c*(c*sec(a + b*x))**(n + S(-1))*Hypergeometric2F1(S(1)/2, -n/S(2) + S(1)/2, -n/S(2) + S(3)/2, cos(a + b*x)**S(2))*sin(a + b*x)/(b*(-n + S(1))*sqrt(sin(a + b*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((sec(x)**S(2))**(S(7)/2), x), x, (sec(x)**S(2))**(S(5)/2)*tan(x)/S(6) + S(5)*(sec(x)**S(2))**(S(3)/2)*tan(x)/S(24) + S(5)*sqrt(sec(x)**S(2))*tan(x)/S(16) + S(5)*asinh(tan(x))/S(16), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((sec(x)**S(2))**(S(5)/2), x), x, (sec(x)**S(2))**(S(3)/2)*tan(x)/S(4) + S(3)*sqrt(sec(x)**S(2))*tan(x)/S(8) + S(3)*asinh(tan(x))/S(8), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((sec(x)**S(2))**(S(3)/2), x), x, sqrt(sec(x)**S(2))*tan(x)/S(2) + asinh(tan(x))/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(sec(x)**S(2)), x), x, asinh(tan(x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/sqrt(sec(x)**S(2)), x), x, tan(x)/sqrt(sec(x)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((sec(x)**S(2))**(S(-3)/2), x), x, S(2)*tan(x)/(S(3)*sqrt(sec(x)**S(2))) + tan(x)/(S(3)*(sec(x)**S(2))**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((sec(x)**S(2))**(S(-5)/2), x), x, S(8)*tan(x)/(S(15)*sqrt(sec(x)**S(2))) + S(4)*tan(x)/(S(15)*(sec(x)**S(2))**(S(3)/2)) + tan(x)/(S(5)*(sec(x)**S(2))**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((sec(x)**S(2))**(S(-7)/2), x), x, S(16)*tan(x)/(S(35)*sqrt(sec(x)**S(2))) + S(8)*tan(x)/(S(35)*(sec(x)**S(2))**(S(3)/2)) + S(6)*tan(x)/(S(35)*(sec(x)**S(2))**(S(5)/2)) + tan(x)/(S(7)*(sec(x)**S(2))**(S(7)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(2))**(S(7)/2), x), x, S(5)*a**(S(7)/2)*atanh(sqrt(a)*tan(x)/sqrt(a*sec(x)**S(2)))/S(16) + S(5)*a**S(3)*sqrt(a*sec(x)**S(2))*tan(x)/S(16) + S(5)*a**S(2)*(a*sec(x)**S(2))**(S(3)/2)*tan(x)/S(24) + a*(a*sec(x)**S(2))**(S(5)/2)*tan(x)/S(6), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(2))**(S(5)/2), x), x, S(3)*a**(S(5)/2)*atanh(sqrt(a)*tan(x)/sqrt(a*sec(x)**S(2)))/S(8) + S(3)*a**S(2)*sqrt(a*sec(x)**S(2))*tan(x)/S(8) + a*(a*sec(x)**S(2))**(S(3)/2)*tan(x)/S(4), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(2))**(S(3)/2), x), x, a**(S(3)/2)*atanh(sqrt(a)*tan(x)/sqrt(a*sec(x)**S(2)))/S(2) + a*sqrt(a*sec(x)**S(2))*tan(x)/S(2), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(a*sec(x)**S(2)), x), x, sqrt(a)*atanh(sqrt(a)*tan(x)/sqrt(a*sec(x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/sqrt(a*sec(x)**S(2)), x), x, tan(x)/sqrt(a*sec(x)**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(2))**(S(-3)/2), x), x, tan(x)/(S(3)*(a*sec(x)**S(2))**(S(3)/2)) + S(2)*tan(x)/(S(3)*a*sqrt(a*sec(x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(2))**(S(-5)/2), x), x, tan(x)/(S(5)*(a*sec(x)**S(2))**(S(5)/2)) + S(4)*tan(x)/(S(15)*a*(a*sec(x)**S(2))**(S(3)/2)) + S(8)*tan(x)/(S(15)*a**S(2)*sqrt(a*sec(x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(2))**(S(-7)/2), x), x, tan(x)/(S(7)*(a*sec(x)**S(2))**(S(7)/2)) + S(6)*tan(x)/(S(35)*a*(a*sec(x)**S(2))**(S(5)/2)) + S(8)*tan(x)/(S(35)*a**S(2)*(a*sec(x)**S(2))**(S(3)/2)) + S(16)*tan(x)/(S(35)*a**S(3)*sqrt(a*sec(x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(3))**(S(5)/2), x), x, -S(154)*a**S(2)*sqrt(a*sec(x)**S(3))*EllipticE(x/S(2), S(2))*cos(x)**(S(3)/2)/S(195) + S(154)*a**S(2)*sqrt(a*sec(x)**S(3))*sin(x)*cos(x)/S(195) + S(2)*a**S(2)*sqrt(a*sec(x)**S(3))*tan(x)*sec(x)**S(4)/S(13) + S(22)*a**S(2)*sqrt(a*sec(x)**S(3))*tan(x)*sec(x)**S(2)/S(117) + S(154)*a**S(2)*sqrt(a*sec(x)**S(3))*tan(x)/S(585), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(3))**(S(3)/2), x), x, S(10)*a*sqrt(a*sec(x)**S(3))*EllipticF(x/S(2), S(2))*cos(x)**(S(3)/2)/S(21) + S(10)*a*sqrt(a*sec(x)**S(3))*sin(x)/S(21) + S(2)*a*sqrt(a*sec(x)**S(3))*tan(x)*sec(x)/S(7), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(a*sec(x)**S(3)), x), x, -S(2)*sqrt(a*sec(x)**S(3))*EllipticE(x/S(2), S(2))*cos(x)**(S(3)/2) + S(2)*sqrt(a*sec(x)**S(3))*sin(x)*cos(x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/sqrt(a*sec(x)**S(3)), x), x, S(2)*EllipticF(x/S(2), S(2))/(S(3)*sqrt(a*sec(x)**S(3))*cos(x)**(S(3)/2)) + S(2)*tan(x)/(S(3)*sqrt(a*sec(x)**S(3))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(3))**(S(-3)/2), x), x, S(14)*EllipticE(x/S(2), S(2))/(S(15)*a*sqrt(a*sec(x)**S(3))*cos(x)**(S(3)/2)) + S(2)*sin(x)*cos(x)**S(2)/(S(9)*a*sqrt(a*sec(x)**S(3))) + S(14)*sin(x)/(S(45)*a*sqrt(a*sec(x)**S(3))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(3))**(S(-5)/2), x), x, S(26)*EllipticF(x/S(2), S(2))/(S(77)*a**S(2)*sqrt(a*sec(x)**S(3))*cos(x)**(S(3)/2)) + S(2)*sin(x)*cos(x)**S(5)/(S(15)*a**S(2)*sqrt(a*sec(x)**S(3))) + S(26)*sin(x)*cos(x)**S(3)/(S(165)*a**S(2)*sqrt(a*sec(x)**S(3))) + S(78)*sin(x)*cos(x)/(S(385)*a**S(2)*sqrt(a*sec(x)**S(3))) + S(26)*tan(x)/(S(77)*a**S(2)*sqrt(a*sec(x)**S(3))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(4))**(S(7)/2), x), x, a**S(3)*sqrt(a*sec(x)**S(4))*sin(x)**S(2)*tan(x)**S(11)/S(13) + S(6)*a**S(3)*sqrt(a*sec(x)**S(4))*sin(x)**S(2)*tan(x)**S(9)/S(11) + S(5)*a**S(3)*sqrt(a*sec(x)**S(4))*sin(x)**S(2)*tan(x)**S(7)/S(3) + S(20)*a**S(3)*sqrt(a*sec(x)**S(4))*sin(x)**S(2)*tan(x)**S(5)/S(7) + S(3)*a**S(3)*sqrt(a*sec(x)**S(4))*sin(x)**S(2)*tan(x)**S(3) + S(2)*a**S(3)*sqrt(a*sec(x)**S(4))*sin(x)**S(2)*tan(x) + a**S(3)*sqrt(a*sec(x)**S(4))*sin(x)*cos(x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(4))**(S(5)/2), x), x, a**S(2)*sqrt(a*sec(x)**S(4))*sin(x)**S(2)*tan(x)**S(7)/S(9) + S(4)*a**S(2)*sqrt(a*sec(x)**S(4))*sin(x)**S(2)*tan(x)**S(5)/S(7) + S(6)*a**S(2)*sqrt(a*sec(x)**S(4))*sin(x)**S(2)*tan(x)**S(3)/S(5) + S(4)*a**S(2)*sqrt(a*sec(x)**S(4))*sin(x)**S(2)*tan(x)/S(3) + a**S(2)*sqrt(a*sec(x)**S(4))*sin(x)*cos(x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(4))**(S(3)/2), x), x, a*sqrt(a*sec(x)**S(4))*sin(x)**S(2)*tan(x)**S(3)/S(5) + S(2)*a*sqrt(a*sec(x)**S(4))*sin(x)**S(2)*tan(x)/S(3) + a*sqrt(a*sec(x)**S(4))*sin(x)*cos(x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(a*sec(x)**S(4)), x), x, sqrt(a*sec(x)**S(4))*sin(x)*cos(x), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/sqrt(a*sec(x)**S(4)), x), x, x*sec(x)**S(2)/(S(2)*sqrt(a*sec(x)**S(4))) + tan(x)/(S(2)*sqrt(a*sec(x)**S(4))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(4))**(S(-3)/2), x), x, S(5)*x*sec(x)**S(2)/(S(16)*a*sqrt(a*sec(x)**S(4))) + sin(x)*cos(x)**S(3)/(S(6)*a*sqrt(a*sec(x)**S(4))) + S(5)*sin(x)*cos(x)/(S(24)*a*sqrt(a*sec(x)**S(4))) + S(5)*tan(x)/(S(16)*a*sqrt(a*sec(x)**S(4))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(x)**S(4))**(S(-5)/2), x), x, S(63)*x*sec(x)**S(2)/(S(256)*a**S(2)*sqrt(a*sec(x)**S(4))) + sin(x)*cos(x)**S(7)/(S(10)*a**S(2)*sqrt(a*sec(x)**S(4))) + S(9)*sin(x)*cos(x)**S(5)/(S(80)*a**S(2)*sqrt(a*sec(x)**S(4))) + S(21)*sin(x)*cos(x)**S(3)/(S(160)*a**S(2)*sqrt(a*sec(x)**S(4))) + S(21)*sin(x)*cos(x)/(S(128)*a**S(2)*sqrt(a*sec(x)**S(4))) + S(63)*tan(x)/(S(256)*a**S(2)*sqrt(a*sec(x)**S(4))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(((b*sec(c + d*x))**p)**n, x), x, -((b*sec(c + d*x))**p)**n*Hypergeometric2F1(S(1)/2, -n*p/S(2) + S(1)/2, -n*p/S(2) + S(3)/2, cos(c + d*x)**S(2))*sin(c + d*x)*cos(c + d*x)/(d*(-n*p + S(1))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*(b*sec(c + d*x))**p)**n, x), x, -(a*(b*sec(c + d*x))**p)**n*Hypergeometric2F1(S(1)/2, -n*p/S(2) + S(1)/2, -n*p/S(2) + S(3)/2, cos(c + d*x)**S(2))*sin(c + d*x)*cos(c + d*x)/(d*(-n*p + S(1))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*sec(c + d*x)**S(4), x), x, S(10)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(21)*d) + S(10)*(b*sec(c + d*x))**(S(3)/2)*sin(c + d*x)/(S(21)*b*d) + S(2)*(b*sec(c + d*x))**(S(7)/2)*sin(c + d*x)/(S(7)*b**S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*sec(c + d*x)**S(3), x), x, -S(6)*b*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(5)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))) + S(6)*sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(5)*d) + S(2)*(b*sec(c + d*x))**(S(5)/2)*sin(c + d*x)/(S(5)*b**S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*sec(c + d*x)**S(2), x), x, S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(3)*d) + S(2)*(b*sec(c + d*x))**(S(3)/2)*sin(c + d*x)/(S(3)*b*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*sec(c + d*x), x), x, -S(2)*b*EllipticE(c/S(2) + d*x/S(2), S(2))/(d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))) + S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x)), x), x, S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*cos(c + d*x), x), x, S(2)*b*EllipticE(c/S(2) + d*x/S(2), S(2))/(d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*cos(c + d*x)**S(2), x), x, S(2)*b*sin(c + d*x)/(S(3)*d*sqrt(b*sec(c + d*x))) + S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*cos(c + d*x)**S(3), x), x, S(2)*b**S(2)*sin(c + d*x)/(S(5)*d*(b*sec(c + d*x))**(S(3)/2)) + S(6)*b*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(5)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*cos(c + d*x)**S(4), x), x, S(2)*b**S(3)*sin(c + d*x)/(S(7)*d*(b*sec(c + d*x))**(S(5)/2)) + S(10)*b*sin(c + d*x)/(S(21)*d*sqrt(b*sec(c + d*x))) + S(10)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(21)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*cos(c + d*x)**S(5), x), x, S(2)*b**S(4)*sin(c + d*x)/(S(9)*d*(b*sec(c + d*x))**(S(7)/2)) + S(14)*b**S(2)*sin(c + d*x)/(S(45)*d*(b*sec(c + d*x))**(S(3)/2)) + S(14)*b*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(15)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)*sec(c + d*x)**S(3), x), x, S(10)*b*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(21)*d) + S(10)*(b*sec(c + d*x))**(S(3)/2)*sin(c + d*x)/(S(21)*d) + S(2)*(b*sec(c + d*x))**(S(7)/2)*sin(c + d*x)/(S(7)*b**S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)*sec(c + d*x)**S(2), x), x, -S(6)*b**S(2)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(5)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))) + S(6)*b*sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(5)*d) + S(2)*(b*sec(c + d*x))**(S(5)/2)*sin(c + d*x)/(S(5)*b*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)*sec(c + d*x), x), x, S(2)*b*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(3)*d) + S(2)*(b*sec(c + d*x))**(S(3)/2)*sin(c + d*x)/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2), x), x, -S(2)*b**S(2)*EllipticE(c/S(2) + d*x/S(2), S(2))/(d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))) + S(2)*b*sqrt(b*sec(c + d*x))*sin(c + d*x)/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)*cos(c + d*x), x), x, S(2)*b*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)*cos(c + d*x)**S(2), x), x, S(2)*b**S(2)*EllipticE(c/S(2) + d*x/S(2), S(2))/(d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)*cos(c + d*x)**S(3), x), x, S(2)*b**S(2)*sin(c + d*x)/(S(3)*d*sqrt(b*sec(c + d*x))) + S(2)*b*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)*cos(c + d*x)**S(4), x), x, S(2)*b**S(3)*sin(c + d*x)/(S(5)*d*(b*sec(c + d*x))**(S(3)/2)) + S(6)*b**S(2)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(5)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)*cos(c + d*x)**S(5), x), x, S(2)*b**S(4)*sin(c + d*x)/(S(7)*d*(b*sec(c + d*x))**(S(5)/2)) + S(10)*b**S(2)*sin(c + d*x)/(S(21)*d*sqrt(b*sec(c + d*x))) + S(10)*b*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(21)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)*cos(c + d*x)**S(6), x), x, S(2)*b**S(5)*sin(c + d*x)/(S(9)*d*(b*sec(c + d*x))**(S(7)/2)) + S(14)*b**S(3)*sin(c + d*x)/(S(45)*d*(b*sec(c + d*x))**(S(3)/2)) + S(14)*b**S(2)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(15)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)*sec(c + d*x)**S(2), x), x, S(10)*b**S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(21)*d) + S(10)*b*(b*sec(c + d*x))**(S(3)/2)*sin(c + d*x)/(S(21)*d) + S(2)*(b*sec(c + d*x))**(S(7)/2)*sin(c + d*x)/(S(7)*b*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)*sec(c + d*x), x), x, -S(6)*b**S(3)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(5)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))) + S(6)*b**S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(5)*d) + S(2)*(b*sec(c + d*x))**(S(5)/2)*sin(c + d*x)/(S(5)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2), x), x, S(2)*b**S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(3)*d) + S(2)*b*(b*sec(c + d*x))**(S(3)/2)*sin(c + d*x)/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)*cos(c + d*x), x), x, -S(2)*b**S(3)*EllipticE(c/S(2) + d*x/S(2), S(2))/(d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))) + S(2)*b**S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)*cos(c + d*x)**S(2), x), x, S(2)*b**S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)*cos(c + d*x)**S(3), x), x, S(2)*b**S(3)*EllipticE(c/S(2) + d*x/S(2), S(2))/(d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)*cos(c + d*x)**S(4), x), x, S(2)*b**S(3)*sin(c + d*x)/(S(3)*d*sqrt(b*sec(c + d*x))) + S(2)*b**S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)*cos(c + d*x)**S(5), x), x, S(2)*b**S(4)*sin(c + d*x)/(S(5)*d*(b*sec(c + d*x))**(S(3)/2)) + S(6)*b**S(3)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(5)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)*cos(c + d*x)**S(6), x), x, S(2)*b**S(5)*sin(c + d*x)/(S(7)*d*(b*sec(c + d*x))**(S(5)/2)) + S(10)*b**S(3)*sin(c + d*x)/(S(21)*d*sqrt(b*sec(c + d*x))) + S(10)*b**S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(21)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)*cos(c + d*x)**S(7), x), x, S(2)*b**S(6)*sin(c + d*x)/(S(9)*d*(b*sec(c + d*x))**(S(7)/2)) + S(14)*b**S(4)*sin(c + d*x)/(S(45)*d*(b*sec(c + d*x))**(S(3)/2)) + S(14)*b**S(3)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(15)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(7)/2), x), x, -S(6)*b**S(4)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(5)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))) + S(6)*b**S(3)*sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(5)*d) + S(2)*b*(b*sec(c + d*x))**(S(5)/2)*sin(c + d*x)/(S(5)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(5)/sqrt(b*sec(c + d*x)), x), x, S(10)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(21)*b*d) + S(10)*(b*sec(c + d*x))**(S(3)/2)*sin(c + d*x)/(S(21)*b**S(2)*d) + S(2)*(b*sec(c + d*x))**(S(7)/2)*sin(c + d*x)/(S(7)*b**S(4)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(4)/sqrt(b*sec(c + d*x)), x), x, -S(6)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(5)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))) + S(6)*sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(5)*b*d) + S(2)*(b*sec(c + d*x))**(S(5)/2)*sin(c + d*x)/(S(5)*b**S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(3)/sqrt(b*sec(c + d*x)), x), x, S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(3)*b*d) + S(2)*(b*sec(c + d*x))**(S(3)/2)*sin(c + d*x)/(S(3)*b**S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(2)/sqrt(b*sec(c + d*x)), x), x, -S(2)*EllipticE(c/S(2) + d*x/S(2), S(2))/(d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))) + S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)/(b*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)/sqrt(b*sec(c + d*x)), x), x, S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(b*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/sqrt(b*sec(c + d*x)), x), x, S(2)*EllipticE(c/S(2) + d*x/S(2), S(2))/(d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(cos(c + d*x)/sqrt(b*sec(c + d*x)), x), x, S(2)*sin(c + d*x)/(S(3)*d*sqrt(b*sec(c + d*x))) + S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(3)*b*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(cos(c + d*x)**S(2)/sqrt(b*sec(c + d*x)), x), x, S(2)*b*sin(c + d*x)/(S(5)*d*(b*sec(c + d*x))**(S(3)/2)) + S(6)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(5)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(cos(c + d*x)**S(3)/sqrt(b*sec(c + d*x)), x), x, S(2)*b**S(2)*sin(c + d*x)/(S(7)*d*(b*sec(c + d*x))**(S(5)/2)) + S(10)*sin(c + d*x)/(S(21)*d*sqrt(b*sec(c + d*x))) + S(10)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(21)*b*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(cos(c + d*x)**S(4)/sqrt(b*sec(c + d*x)), x), x, S(2)*b**S(3)*sin(c + d*x)/(S(9)*d*(b*sec(c + d*x))**(S(7)/2)) + S(14)*b*sin(c + d*x)/(S(45)*d*(b*sec(c + d*x))**(S(3)/2)) + S(14)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(15)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(6)/(b*sec(c + d*x))**(S(3)/2), x), x, S(10)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(21)*b**S(2)*d) + S(10)*(b*sec(c + d*x))**(S(3)/2)*sin(c + d*x)/(S(21)*b**S(3)*d) + S(2)*(b*sec(c + d*x))**(S(7)/2)*sin(c + d*x)/(S(7)*b**S(5)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(5)/(b*sec(c + d*x))**(S(3)/2), x), x, -S(6)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(5)*b*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))) + S(6)*sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(5)*b**S(2)*d) + S(2)*(b*sec(c + d*x))**(S(5)/2)*sin(c + d*x)/(S(5)*b**S(4)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(4)/(b*sec(c + d*x))**(S(3)/2), x), x, S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(3)*b**S(2)*d) + S(2)*(b*sec(c + d*x))**(S(3)/2)*sin(c + d*x)/(S(3)*b**S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(3)/(b*sec(c + d*x))**(S(3)/2), x), x, -S(2)*EllipticE(c/S(2) + d*x/S(2), S(2))/(b*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))) + S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)/(b**S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(2)/(b*sec(c + d*x))**(S(3)/2), x), x, S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(b**S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)/(b*sec(c + d*x))**(S(3)/2), x), x, S(2)*EllipticE(c/S(2) + d*x/S(2), S(2))/(b*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(-3)/2), x), x, S(2)*sin(c + d*x)/(S(3)*b*d*sqrt(b*sec(c + d*x))) + S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(3)*b**S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(cos(c + d*x)/(b*sec(c + d*x))**(S(3)/2), x), x, S(2)*sin(c + d*x)/(S(5)*d*(b*sec(c + d*x))**(S(3)/2)) + S(6)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(5)*b*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(cos(c + d*x)**S(2)/(b*sec(c + d*x))**(S(3)/2), x), x, S(2)*b*sin(c + d*x)/(S(7)*d*(b*sec(c + d*x))**(S(5)/2)) + S(10)*sin(c + d*x)/(S(21)*b*d*sqrt(b*sec(c + d*x))) + S(10)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(21)*b**S(2)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(cos(c + d*x)**S(3)/(b*sec(c + d*x))**(S(3)/2), x), x, S(2)*b**S(2)*sin(c + d*x)/(S(9)*d*(b*sec(c + d*x))**(S(7)/2)) + S(14)*sin(c + d*x)/(S(45)*d*(b*sec(c + d*x))**(S(3)/2)) + S(14)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(15)*b*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(7)/(b*sec(c + d*x))**(S(5)/2), x), x, S(10)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(21)*b**S(3)*d) + S(10)*(b*sec(c + d*x))**(S(3)/2)*sin(c + d*x)/(S(21)*b**S(4)*d) + S(2)*(b*sec(c + d*x))**(S(7)/2)*sin(c + d*x)/(S(7)*b**S(6)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(6)/(b*sec(c + d*x))**(S(5)/2), x), x, -S(6)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(5)*b**S(2)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))) + S(6)*sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(5)*b**S(3)*d) + S(2)*(b*sec(c + d*x))**(S(5)/2)*sin(c + d*x)/(S(5)*b**S(5)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(5)/(b*sec(c + d*x))**(S(5)/2), x), x, S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(3)*b**S(3)*d) + S(2)*(b*sec(c + d*x))**(S(3)/2)*sin(c + d*x)/(S(3)*b**S(4)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(4)/(b*sec(c + d*x))**(S(5)/2), x), x, -S(2)*EllipticE(c/S(2) + d*x/S(2), S(2))/(b**S(2)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))) + S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)/(b**S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(3)/(b*sec(c + d*x))**(S(5)/2), x), x, S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(b**S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(2)/(b*sec(c + d*x))**(S(5)/2), x), x, S(2)*EllipticE(c/S(2) + d*x/S(2), S(2))/(b**S(2)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)/(b*sec(c + d*x))**(S(5)/2), x), x, S(2)*sin(c + d*x)/(S(3)*b**S(2)*d*sqrt(b*sec(c + d*x))) + S(2)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(3)*b**S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(-5)/2), x), x, S(2)*sin(c + d*x)/(S(5)*b*d*(b*sec(c + d*x))**(S(3)/2)) + S(6)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(5)*b**S(2)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(cos(c + d*x)/(b*sec(c + d*x))**(S(5)/2), x), x, S(2)*sin(c + d*x)/(S(7)*d*(b*sec(c + d*x))**(S(5)/2)) + S(10)*sin(c + d*x)/(S(21)*b**S(2)*d*sqrt(b*sec(c + d*x))) + S(10)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(21)*b**S(3)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(cos(c + d*x)**S(2)/(b*sec(c + d*x))**(S(5)/2), x), x, S(2)*b*sin(c + d*x)/(S(9)*d*(b*sec(c + d*x))**(S(7)/2)) + S(14)*sin(c + d*x)/(S(45)*b*d*(b*sec(c + d*x))**(S(3)/2)) + S(14)*EllipticE(c/S(2) + d*x/S(2), S(2))/(S(15)*b**S(2)*d*sqrt(b*sec(c + d*x))*sqrt(cos(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(-7)/2), x), x, S(2)*sin(c + d*x)/(S(7)*b*d*(b*sec(c + d*x))**(S(5)/2)) + S(10)*sin(c + d*x)/(S(21)*b**S(3)*d*sqrt(b*sec(c + d*x))) + S(10)*sqrt(b*sec(c + d*x))*EllipticF(c/S(2) + d*x/S(2), S(2))*sqrt(cos(c + d*x))/(S(21)*b**S(4)*d), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*sec(c + d*x)**(S(9)/2), x), x, sqrt(b*sec(c + d*x))*sin(c + d*x)*sec(c + d*x)**(S(7)/2)/(S(4)*d) + S(3)*sqrt(b*sec(c + d*x))*sin(c + d*x)*sec(c + d*x)**(S(3)/2)/(S(8)*d) + S(3)*sqrt(b*sec(c + d*x))*atanh(sin(c + d*x))/(S(8)*d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*sec(c + d*x)**(S(7)/2), x), x, sqrt(b*sec(c + d*x))*sin(c + d*x)**S(3)*sec(c + d*x)**(S(5)/2)/(S(3)*d) + sqrt(b*sec(c + d*x))*sin(c + d*x)*sqrt(sec(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*sec(c + d*x)**(S(5)/2), x), x, sqrt(b*sec(c + d*x))*sin(c + d*x)*sec(c + d*x)**(S(3)/2)/(S(2)*d) + sqrt(b*sec(c + d*x))*atanh(sin(c + d*x))/(S(2)*d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*sec(c + d*x)**(S(3)/2), x), x, sqrt(b*sec(c + d*x))*sin(c + d*x)*sqrt(sec(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))*sqrt(sec(c + d*x)), x), x, sqrt(b*sec(c + d*x))*atanh(sin(c + d*x))/(d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))/sqrt(sec(c + d*x)), x), x, x*sqrt(b*sec(c + d*x))/sqrt(sec(c + d*x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))/sec(c + d*x)**(S(3)/2), x), x, sqrt(b*sec(c + d*x))*sin(c + d*x)/(d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))/sec(c + d*x)**(S(5)/2), x), x, x*sqrt(b*sec(c + d*x))/(S(2)*sqrt(sec(c + d*x))) + sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(2)*d*sec(c + d*x)**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))/sec(c + d*x)**(S(7)/2), x), x, -sqrt(b*sec(c + d*x))*sin(c + d*x)**S(3)/(S(3)*d*sqrt(sec(c + d*x))) + sqrt(b*sec(c + d*x))*sin(c + d*x)/(d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(b*sec(c + d*x))/sec(c + d*x)**(S(9)/2), x), x, S(3)*x*sqrt(b*sec(c + d*x))/(S(8)*sqrt(sec(c + d*x))) + S(3)*sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(8)*d*sec(c + d*x)**(S(3)/2)) + sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(4)*d*sec(c + d*x)**(S(7)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)*sec(c + d*x)**(S(7)/2), x), x, b*sqrt(b*sec(c + d*x))*sin(c + d*x)*sec(c + d*x)**(S(7)/2)/(S(4)*d) + S(3)*b*sqrt(b*sec(c + d*x))*sin(c + d*x)*sec(c + d*x)**(S(3)/2)/(S(8)*d) + S(3)*b*sqrt(b*sec(c + d*x))*atanh(sin(c + d*x))/(S(8)*d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)*sec(c + d*x)**(S(5)/2), x), x, b*sqrt(b*sec(c + d*x))*sin(c + d*x)**S(3)*sec(c + d*x)**(S(5)/2)/(S(3)*d) + b*sqrt(b*sec(c + d*x))*sin(c + d*x)*sqrt(sec(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)*sec(c + d*x)**(S(3)/2), x), x, b*sqrt(b*sec(c + d*x))*sin(c + d*x)*sec(c + d*x)**(S(3)/2)/(S(2)*d) + b*sqrt(b*sec(c + d*x))*atanh(sin(c + d*x))/(S(2)*d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)*sqrt(sec(c + d*x)), x), x, b*sqrt(b*sec(c + d*x))*sin(c + d*x)*sqrt(sec(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)/sqrt(sec(c + d*x)), x), x, b*sqrt(b*sec(c + d*x))*atanh(sin(c + d*x))/(d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)/sec(c + d*x)**(S(3)/2), x), x, b*x*sqrt(b*sec(c + d*x))/sqrt(sec(c + d*x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)/sec(c + d*x)**(S(5)/2), x), x, b*sqrt(b*sec(c + d*x))*sin(c + d*x)/(d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)/sec(c + d*x)**(S(7)/2), x), x, b*x*sqrt(b*sec(c + d*x))/(S(2)*sqrt(sec(c + d*x))) + b*sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(2)*d*sec(c + d*x)**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)/sec(c + d*x)**(S(9)/2), x), x, -b*sqrt(b*sec(c + d*x))*sin(c + d*x)**S(3)/(S(3)*d*sqrt(sec(c + d*x))) + b*sqrt(b*sec(c + d*x))*sin(c + d*x)/(d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(3)/2)/sec(c + d*x)**(S(11)/2), x), x, S(3)*b*x*sqrt(b*sec(c + d*x))/(S(8)*sqrt(sec(c + d*x))) + S(3)*b*sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(8)*d*sec(c + d*x)**(S(3)/2)) + b*sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(4)*d*sec(c + d*x)**(S(7)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)*sec(c + d*x)**(S(7)/2), x), x, b**S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)**S(5)*sec(c + d*x)**(S(9)/2)/(S(5)*d) + S(2)*b**S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)**S(3)*sec(c + d*x)**(S(5)/2)/(S(3)*d) + b**S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)*sqrt(sec(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)*sec(c + d*x)**(S(3)/2), x), x, b**S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)**S(3)*sec(c + d*x)**(S(5)/2)/(S(3)*d) + b**S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)*sqrt(sec(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)*sqrt(sec(c + d*x)), x), x, b**S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)*sec(c + d*x)**(S(3)/2)/(S(2)*d) + b**S(2)*sqrt(b*sec(c + d*x))*atanh(sin(c + d*x))/(S(2)*d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)/sqrt(sec(c + d*x)), x), x, b**S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)*sqrt(sec(c + d*x))/d, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)/sec(c + d*x)**(S(3)/2), x), x, b**S(2)*sqrt(b*sec(c + d*x))*atanh(sin(c + d*x))/(d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)/sec(c + d*x)**(S(5)/2), x), x, b**S(2)*x*sqrt(b*sec(c + d*x))/sqrt(sec(c + d*x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)/sec(c + d*x)**(S(7)/2), x), x, b**S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)/(d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)/sec(c + d*x)**(S(9)/2), x), x, b**S(2)*x*sqrt(b*sec(c + d*x))/(S(2)*sqrt(sec(c + d*x))) + b**S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)/(S(2)*d*sec(c + d*x)**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(5)/2)/sec(c + d*x)**(S(11)/2), x), x, -b**S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)**S(3)/(S(3)*d*sqrt(sec(c + d*x))) + b**S(2)*sqrt(b*sec(c + d*x))*sin(c + d*x)/(d*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**(S(7)/2)/sqrt(b*sec(c + d*x)), x), x, sin(c + d*x)*sec(c + d*x)**(S(5)/2)/(S(2)*d*sqrt(b*sec(c + d*x))) + atanh(sin(c + d*x))*sqrt(sec(c + d*x))/(S(2)*d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**(S(5)/2)/sqrt(b*sec(c + d*x)), x), x, sin(c + d*x)*sec(c + d*x)**(S(3)/2)/(d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**(S(3)/2)/sqrt(b*sec(c + d*x)), x), x, atanh(sin(c + d*x))*sqrt(sec(c + d*x))/(d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(sec(c + d*x))/sqrt(b*sec(c + d*x)), x), x, x*sqrt(sec(c + d*x))/sqrt(b*sec(c + d*x)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(sqrt(b*sec(c + d*x))*sqrt(sec(c + d*x))), x), x, sin(c + d*x)*sqrt(sec(c + d*x))/(d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(sqrt(b*sec(c + d*x))*sec(c + d*x)**(S(3)/2)), x), x, x*sqrt(sec(c + d*x))/(S(2)*sqrt(b*sec(c + d*x))) + sin(c + d*x)/(S(2)*d*sqrt(b*sec(c + d*x))*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(sqrt(b*sec(c + d*x))*sec(c + d*x)**(S(5)/2)), x), x, -sin(c + d*x)**S(3)*sqrt(sec(c + d*x))/(S(3)*d*sqrt(b*sec(c + d*x))) + sin(c + d*x)*sqrt(sec(c + d*x))/(d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**(S(9)/2)/(b*sec(c + d*x))**(S(3)/2), x), x, sin(c + d*x)*sec(c + d*x)**(S(5)/2)/(S(2)*b*d*sqrt(b*sec(c + d*x))) + atanh(sin(c + d*x))*sqrt(sec(c + d*x))/(S(2)*b*d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**(S(7)/2)/(b*sec(c + d*x))**(S(3)/2), x), x, sin(c + d*x)*sec(c + d*x)**(S(3)/2)/(b*d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**(S(5)/2)/(b*sec(c + d*x))**(S(3)/2), x), x, atanh(sin(c + d*x))*sqrt(sec(c + d*x))/(b*d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**(S(3)/2)/(b*sec(c + d*x))**(S(3)/2), x), x, x*sqrt(sec(c + d*x))/(b*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(sec(c + d*x))/(b*sec(c + d*x))**(S(3)/2), x), x, sin(c + d*x)*sqrt(sec(c + d*x))/(b*d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((b*sec(c + d*x))**(S(3)/2)*sqrt(sec(c + d*x))), x), x, x*sqrt(sec(c + d*x))/(S(2)*b*sqrt(b*sec(c + d*x))) + sin(c + d*x)/(S(2)*b*d*sqrt(b*sec(c + d*x))*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((b*sec(c + d*x))**(S(3)/2)*sec(c + d*x)**(S(3)/2)), x), x, -sin(c + d*x)**S(3)*sqrt(sec(c + d*x))/(S(3)*b*d*sqrt(b*sec(c + d*x))) + sin(c + d*x)*sqrt(sec(c + d*x))/(b*d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((b*sec(c + d*x))**(S(3)/2)*sec(c + d*x)**(S(5)/2)), x), x, S(3)*x*sqrt(sec(c + d*x))/(S(8)*b*sqrt(b*sec(c + d*x))) + S(3)*sin(c + d*x)/(S(8)*b*d*sqrt(b*sec(c + d*x))*sqrt(sec(c + d*x))) + sin(c + d*x)/(S(4)*b*d*sqrt(b*sec(c + d*x))*sec(c + d*x)**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**(S(11)/2)/(b*sec(c + d*x))**(S(5)/2), x), x, sin(c + d*x)*sec(c + d*x)**(S(5)/2)/(S(2)*b**S(2)*d*sqrt(b*sec(c + d*x))) + atanh(sin(c + d*x))*sqrt(sec(c + d*x))/(S(2)*b**S(2)*d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**(S(9)/2)/(b*sec(c + d*x))**(S(5)/2), x), x, sin(c + d*x)*sec(c + d*x)**(S(3)/2)/(b**S(2)*d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**(S(7)/2)/(b*sec(c + d*x))**(S(5)/2), x), x, atanh(sin(c + d*x))*sqrt(sec(c + d*x))/(b**S(2)*d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**(S(5)/2)/(b*sec(c + d*x))**(S(5)/2), x), x, x*sqrt(sec(c + d*x))/(b**S(2)*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**(S(3)/2)/(b*sec(c + d*x))**(S(5)/2), x), x, sin(c + d*x)*sqrt(sec(c + d*x))/(b**S(2)*d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(sec(c + d*x))/(b*sec(c + d*x))**(S(5)/2), x), x, x*sqrt(sec(c + d*x))/(S(2)*b**S(2)*sqrt(b*sec(c + d*x))) + sin(c + d*x)/(S(2)*b**S(2)*d*sqrt(b*sec(c + d*x))*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((b*sec(c + d*x))**(S(5)/2)*sqrt(sec(c + d*x))), x), x, -sin(c + d*x)**S(3)*sqrt(sec(c + d*x))/(S(3)*b**S(2)*d*sqrt(b*sec(c + d*x))) + sin(c + d*x)*sqrt(sec(c + d*x))/(b**S(2)*d*sqrt(b*sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((b*sec(c + d*x))**(S(5)/2)*sec(c + d*x)**(S(3)/2)), x), x, S(3)*x*sqrt(sec(c + d*x))/(S(8)*b**S(2)*sqrt(b*sec(c + d*x))) + S(3)*sin(c + d*x)/(S(8)*b**S(2)*d*sqrt(b*sec(c + d*x))*sqrt(sec(c + d*x))) + sin(c + d*x)/(S(4)*b**S(2)*d*sqrt(b*sec(c + d*x))*sec(c + d*x)**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(1)/3)*sec(c + d*x)**S(2), x), x, S(3)*(b*sec(c + d*x))**(S(4)/3)*Hypergeometric2F1(S(-2)/3, S(1)/2, S(1)/3, cos(c + d*x)**S(2))*sin(c + d*x)/(S(4)*b*d*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(1)/3)*sec(c + d*x), x), x, S(3)*(b*sec(c + d*x))**(S(1)/3)*Hypergeometric2F1(S(-1)/6, S(1)/2, S(5)/6, cos(c + d*x)**S(2))*sin(c + d*x)/(d*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(1)/3), x), x, -S(3)*b*Hypergeometric2F1(S(1)/3, S(1)/2, S(4)/3, cos(c + d*x)**S(2))*sin(c + d*x)/(S(2)*d*(b*sec(c + d*x))**(S(2)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(1)/3)*cos(c + d*x), x), x, -S(3)*b**S(2)*Hypergeometric2F1(S(1)/2, S(5)/6, S(11)/6, cos(c + d*x)**S(2))*sin(c + d*x)/(S(5)*d*(b*sec(c + d*x))**(S(5)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(1)/3)*cos(c + d*x)**S(2), x), x, -S(3)*b**S(3)*Hypergeometric2F1(S(1)/2, S(4)/3, S(7)/3, cos(c + d*x)**S(2))*sin(c + d*x)/(S(8)*d*(b*sec(c + d*x))**(S(8)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(4)/3)*sec(c + d*x)**S(2), x), x, S(3)*(b*sec(c + d*x))**(S(7)/3)*Hypergeometric2F1(S(-7)/6, S(1)/2, S(-1)/6, cos(c + d*x)**S(2))*sin(c + d*x)/(S(7)*b*d*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(4)/3)*sec(c + d*x), x), x, S(3)*(b*sec(c + d*x))**(S(4)/3)*Hypergeometric2F1(S(-2)/3, S(1)/2, S(1)/3, cos(c + d*x)**S(2))*sin(c + d*x)/(S(4)*d*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(4)/3), x), x, S(3)*b*(b*sec(c + d*x))**(S(1)/3)*Hypergeometric2F1(S(-1)/6, S(1)/2, S(5)/6, cos(c + d*x)**S(2))*sin(c + d*x)/(d*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(4)/3)*cos(c + d*x), x), x, -S(3)*b**S(2)*Hypergeometric2F1(S(1)/3, S(1)/2, S(4)/3, cos(c + d*x)**S(2))*sin(c + d*x)/(S(2)*d*(b*sec(c + d*x))**(S(2)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(4)/3)*cos(c + d*x)**S(2), x), x, -S(3)*b**S(3)*Hypergeometric2F1(S(1)/2, S(5)/6, S(11)/6, cos(c + d*x)**S(2))*sin(c + d*x)/(S(5)*d*(b*sec(c + d*x))**(S(5)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(2)/(b*sec(c + d*x))**(S(1)/3), x), x, S(3)*(b*sec(c + d*x))**(S(2)/3)*Hypergeometric2F1(S(-1)/3, S(1)/2, S(2)/3, cos(c + d*x)**S(2))*sin(c + d*x)/(S(2)*b*d*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)/(b*sec(c + d*x))**(S(1)/3), x), x, -S(3)*Hypergeometric2F1(S(1)/6, S(1)/2, S(7)/6, cos(c + d*x)**S(2))*sin(c + d*x)/(d*(b*sec(c + d*x))**(S(1)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(-1)/3), x), x, -S(3)*b*Hypergeometric2F1(S(1)/2, S(2)/3, S(5)/3, cos(c + d*x)**S(2))*sin(c + d*x)/(S(4)*d*(b*sec(c + d*x))**(S(4)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(cos(c + d*x)/(b*sec(c + d*x))**(S(1)/3), x), x, -S(3)*b**S(2)*Hypergeometric2F1(S(1)/2, S(7)/6, S(13)/6, cos(c + d*x)**S(2))*sin(c + d*x)/(S(7)*d*(b*sec(c + d*x))**(S(7)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(cos(c + d*x)**S(2)/(b*sec(c + d*x))**(S(1)/3), x), x, -S(3)*b**S(3)*Hypergeometric2F1(S(1)/2, S(5)/3, S(8)/3, cos(c + d*x)**S(2))*sin(c + d*x)/(S(10)*d*(b*sec(c + d*x))**(S(10)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**S(2)/(b*sec(c + d*x))**(S(4)/3), x), x, -S(3)*Hypergeometric2F1(S(1)/6, S(1)/2, S(7)/6, cos(c + d*x)**S(2))*sin(c + d*x)/(b*d*(b*sec(c + d*x))**(S(1)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)/(b*sec(c + d*x))**(S(4)/3), x), x, -S(3)*Hypergeometric2F1(S(1)/2, S(2)/3, S(5)/3, cos(c + d*x)**S(2))*sin(c + d*x)/(S(4)*d*(b*sec(c + d*x))**(S(4)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(-4)/3), x), x, -S(3)*b*Hypergeometric2F1(S(1)/2, S(7)/6, S(13)/6, cos(c + d*x)**S(2))*sin(c + d*x)/(S(7)*d*(b*sec(c + d*x))**(S(7)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(cos(c + d*x)/(b*sec(c + d*x))**(S(4)/3), x), x, -S(3)*b**S(2)*Hypergeometric2F1(S(1)/2, S(5)/3, S(8)/3, cos(c + d*x)**S(2))*sin(c + d*x)/(S(10)*d*(b*sec(c + d*x))**(S(10)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(cos(c + d*x)**S(2)/(b*sec(c + d*x))**(S(4)/3), x), x, -S(3)*b**S(3)*Hypergeometric2F1(S(1)/2, S(13)/6, S(19)/6, cos(c + d*x)**S(2))*sin(c + d*x)/(S(13)*d*(b*sec(c + d*x))**(S(13)/3)*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(4)/3)*sec(c + d*x)**m, x), x, S(3)*b*(b*sec(c + d*x))**(S(1)/3)*Hypergeometric2F1(S(1)/2, -m/S(2) + S(-1)/6, -m/S(2) + S(5)/6, cos(c + d*x)**S(2))*sin(c + d*x)*sec(c + d*x)**m/(d*(S(3)*m + S(1))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(2)/3)*sec(c + d*x)**m, x), x, -S(3)*(b*sec(c + d*x))**(S(2)/3)*Hypergeometric2F1(S(1)/2, -m/S(2) + S(1)/6, -m/S(2) + S(7)/6, cos(c + d*x)**S(2))*sin(c + d*x)*sec(c + d*x)**(m + S(-1))/(d*(-S(3)*m + S(1))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**(S(1)/3)*sec(c + d*x)**m, x), x, -S(3)*(b*sec(c + d*x))**(S(1)/3)*Hypergeometric2F1(S(1)/2, -m/S(2) + S(1)/3, -m/S(2) + S(4)/3, cos(c + d*x)**S(2))*sin(c + d*x)*sec(c + d*x)**(m + S(-1))/(d*(-S(3)*m + S(2))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**m/(b*sec(c + d*x))**(S(1)/3), x), x, -S(3)*Hypergeometric2F1(S(1)/2, -m/S(2) + S(2)/3, -m/S(2) + S(5)/3, cos(c + d*x)**S(2))*sin(c + d*x)*sec(c + d*x)**(m + S(-1))/(d*(b*sec(c + d*x))**(S(1)/3)*(-S(3)*m + S(4))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**m/(b*sec(c + d*x))**(S(2)/3), x), x, -S(3)*Hypergeometric2F1(S(1)/2, -m/S(2) + S(5)/6, -m/S(2) + S(11)/6, cos(c + d*x)**S(2))*sin(c + d*x)*sec(c + d*x)**(m + S(-1))/(d*(b*sec(c + d*x))**(S(2)/3)*(-S(3)*m + S(5))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sec(c + d*x)**m/(b*sec(c + d*x))**(S(4)/3), x), x, -S(3)*Hypergeometric2F1(S(1)/2, -m/S(2) + S(7)/6, -m/S(2) + S(13)/6, cos(c + d*x)**S(2))*sin(c + d*x)*sec(c + d*x)**(m + S(-2))/(b*d*(b*sec(c + d*x))**(S(1)/3)*(-S(3)*m + S(7))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**n*sec(c + d*x)**m, x), x, -(b*sec(c + d*x))**n*Hypergeometric2F1(S(1)/2, -m/S(2) - n/S(2) + S(1)/2, -m/S(2) - n/S(2) + S(3)/2, cos(c + d*x)**S(2))*sin(c + d*x)*sec(c + d*x)**(m + S(-1))/(d*(-m - n + S(1))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**n*sec(c + d*x)**S(2), x), x, (b*sec(c + d*x))**(n + S(1))*Hypergeometric2F1(S(1)/2, -n/S(2) + S(-1)/2, -n/S(2) + S(1)/2, cos(c + d*x)**S(2))*sin(c + d*x)/(b*d*(n + S(1))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**n*sec(c + d*x), x), x, (b*sec(c + d*x))**n*Hypergeometric2F1(S(1)/2, -n/S(2), -n/S(2) + S(1), cos(c + d*x)**S(2))*sin(c + d*x)/(d*n*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**n, x), x, -b*(b*sec(c + d*x))**(n + S(-1))*Hypergeometric2F1(S(1)/2, -n/S(2) + S(1)/2, -n/S(2) + S(3)/2, cos(c + d*x)**S(2))*sin(c + d*x)/(d*(-n + S(1))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**n*cos(c + d*x), x), x, -b**S(2)*(b*sec(c + d*x))**(n + S(-2))*Hypergeometric2F1(S(1)/2, -n/S(2) + S(1), -n/S(2) + S(2), cos(c + d*x)**S(2))*sin(c + d*x)/(d*(-n + S(2))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**n*cos(c + d*x)**S(2), x), x, -b**S(3)*(b*sec(c + d*x))**(n + S(-3))*Hypergeometric2F1(S(1)/2, -n/S(2) + S(3)/2, -n/S(2) + S(5)/2, cos(c + d*x)**S(2))*sin(c + d*x)/(d*(-n + S(3))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**n*cos(c + d*x)**S(3), x), x, -b**S(4)*(b*sec(c + d*x))**(n + S(-4))*Hypergeometric2F1(S(1)/2, -n/S(2) + S(2), -n/S(2) + S(3), cos(c + d*x)**S(2))*sin(c + d*x)/(d*(-n + S(4))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**n*sec(c + d*x)**(S(5)/2), x), x, S(2)*(b*sec(c + d*x))**n*Hypergeometric2F1(S(1)/2, -n/S(2) + S(-3)/4, -n/S(2) + S(1)/4, cos(c + d*x)**S(2))*sin(c + d*x)*sec(c + d*x)**(S(3)/2)/(d*(S(2)*n + S(3))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**n*sec(c + d*x)**(S(3)/2), x), x, S(2)*(b*sec(c + d*x))**n*Hypergeometric2F1(S(1)/2, -n/S(2) + S(-1)/4, -n/S(2) + S(3)/4, cos(c + d*x)**S(2))*sin(c + d*x)*sqrt(sec(c + d*x))/(d*(S(2)*n + S(1))*sqrt(sin(c + d*x)**S(2))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**n*sqrt(sec(c + d*x)), x), x, -S(2)*(b*sec(c + d*x))**n*Hypergeometric2F1(S(1)/2, -n/S(2) + S(1)/4, -n/S(2) + S(5)/4, cos(c + d*x)**S(2))*sin(c + d*x)/(d*(-S(2)*n + S(1))*sqrt(sin(c + d*x)**S(2))*sqrt(sec(c + d*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**n/sqrt(sec(c + d*x)), x), x, -S(2)*(b*sec(c + d*x))**n*Hypergeometric2F1(S(1)/2, -n/S(2) + S(3)/4, -n/S(2) + S(7)/4, cos(c + d*x)**S(2))*sin(c + d*x)/(d*(-S(2)*n + S(3))*sqrt(sin(c + d*x)**S(2))*sec(c + d*x)**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**n/sec(c + d*x)**(S(3)/2), x), x, -S(2)*(b*sec(c + d*x))**n*Hypergeometric2F1(S(1)/2, -n/S(2) + S(5)/4, -n/S(2) + S(9)/4, cos(c + d*x)**S(2))*sin(c + d*x)/(d*(-S(2)*n + S(5))*sqrt(sin(c + d*x)**S(2))*sec(c + d*x)**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*sec(c + d*x))**n/sec(c + d*x)**(S(5)/2), x), x, -S(2)*(b*sec(c + d*x))**n*Hypergeometric2F1(S(1)/2, -n/S(2) + S(7)/4, -n/S(2) + S(11)/4, cos(c + d*x)**S(2))*sin(c + d*x)/(d*(-S(2)*n + S(7))*sqrt(sin(c + d*x)**S(2))*sec(c + d*x)**(S(7)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*sec(a + b*x))**(S(7)/2)*sin(a + b*x), x), x, S(2)*d*(d*sec(a + b*x))**(S(5)/2)/(S(5)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*sec(a + b*x))**(S(5)/2)*sin(a + b*x), x), x, S(2)*d*(d*sec(a + b*x))**(S(3)/2)/(S(3)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*sec(a + b*x))**(S(3)/2)*sin(a + b*x), x), x, S(2)*d*sqrt(d*sec(a + b*x))/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(d*sec(a + b*x))*sin(a + b*x), x), x, -S(2)*d/(b*sqrt(d*sec(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sin(a + b*x)/sqrt(d*sec(a + b*x)), x), x, -S(2)*d/(S(3)*b*(d*sec(a + b*x))**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*sec(a + b*x))**(S(5)/2)*sin(a + b*x)**S(3), x), x, S(2)*d**S(3)/(b*sqrt(d*sec(a + b*x))) + S(2)*d*(d*sec(a + b*x))**(S(3)/2)/(S(3)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*sec(a + b*x))**(S(9)/2)*sin(a + b*x)**S(3), x), x, -S(2)*d**S(3)*(d*sec(a + b*x))**(S(3)/2)/(S(3)*b) + S(2)*d*(d*sec(a + b*x))**(S(7)/2)/(S(7)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(c*sec(a + b*x))*(d*csc(a + b*x))**(S(9)/2), x), x, -S(4)*c*d**S(3)*(d*csc(a + b*x))**(S(3)/2)/(S(7)*b*sqrt(c*sec(a + b*x))) - S(2)*c*d*(d*csc(a + b*x))**(S(7)/2)/(S(7)*b*sqrt(c*sec(a + b*x))) + S(4)*d**S(4)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*EllipticF(-Pi/S(4) + a + b*x, S(2))*sqrt(sin(S(2)*a + S(2)*b*x))/(S(7)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(c*sec(a + b*x))*(d*csc(a + b*x))**(S(7)/2), x), x, -S(8)*c*d**S(3)*sqrt(d*csc(a + b*x))/(S(5)*b*sqrt(c*sec(a + b*x))) - S(2)*c*d*(d*csc(a + b*x))**(S(5)/2)/(S(5)*b*sqrt(c*sec(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(c*sec(a + b*x))*(d*csc(a + b*x))**(S(5)/2), x), x, -S(2)*c*d*(d*csc(a + b*x))**(S(3)/2)/(S(3)*b*sqrt(c*sec(a + b*x))) + S(2)*d**S(2)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*EllipticF(-Pi/S(4) + a + b*x, S(2))*sqrt(sin(S(2)*a + S(2)*b*x))/(S(3)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(c*sec(a + b*x))*(d*csc(a + b*x))**(S(3)/2), x), x, -S(2)*c*d*sqrt(d*csc(a + b*x))/(b*sqrt(c*sec(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x)), x), x, sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*EllipticF(-Pi/S(4) + a + b*x, S(2))*sqrt(sin(S(2)*a + S(2)*b*x))/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(c*sec(a + b*x))/sqrt(d*csc(a + b*x)), x), x, -sqrt(S(2))*sqrt(c*sec(a + b*x))*ArcTan(-sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))/(S(2)*b*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) + sqrt(S(2))*sqrt(c*sec(a + b*x))*ArcTan(sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))/(S(2)*b*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) + sqrt(S(2))*sqrt(c*sec(a + b*x))*log(-sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))/(S(4)*b*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) - sqrt(S(2))*sqrt(c*sec(a + b*x))*log(sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))/(S(4)*b*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(c*sec(a + b*x))/(d*csc(a + b*x))**(S(3)/2), x), x, -c/(b*d*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))) + sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*EllipticF(-Pi/S(4) + a + b*x, S(2))*sqrt(sin(S(2)*a + S(2)*b*x))/(S(2)*b*d**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(c*sec(a + b*x))/(d*csc(a + b*x))**(S(5)/2), x), x, -c/(S(2)*b*d*sqrt(c*sec(a + b*x))*(d*csc(a + b*x))**(S(3)/2)) - S(3)*sqrt(S(2))*sqrt(c*sec(a + b*x))*ArcTan(-sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))/(S(8)*b*d**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) + S(3)*sqrt(S(2))*sqrt(c*sec(a + b*x))*ArcTan(sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))/(S(8)*b*d**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) + S(3)*sqrt(S(2))*sqrt(c*sec(a + b*x))*log(-sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))/(S(16)*b*d**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) - S(3)*sqrt(S(2))*sqrt(c*sec(a + b*x))*log(sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))/(S(16)*b*d**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(3)/2)*(d*csc(a + b*x))**(S(9)/2), x), x, S(64)*c*d**S(5)*sqrt(c*sec(a + b*x))/(S(21)*b*sqrt(d*csc(a + b*x))) - S(16)*c*d**S(3)*sqrt(c*sec(a + b*x))*(d*csc(a + b*x))**(S(3)/2)/(S(21)*b) - S(2)*c*d*sqrt(c*sec(a + b*x))*(d*csc(a + b*x))**(S(7)/2)/(S(7)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(3)/2)*(d*csc(a + b*x))**(S(7)/2), x), x, -S(24)*c**S(2)*d**S(4)*EllipticE(-Pi/S(4) + a + b*x, S(2))/(S(5)*b*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*sqrt(sin(S(2)*a + S(2)*b*x))) + S(24)*c*d**S(5)*sqrt(c*sec(a + b*x))/(S(5)*b*(d*csc(a + b*x))**(S(3)/2)) - S(12)*c*d**S(3)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))/(S(5)*b) - S(2)*c*d*sqrt(c*sec(a + b*x))*(d*csc(a + b*x))**(S(5)/2)/(S(5)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(3)/2)*(d*csc(a + b*x))**(S(5)/2), x), x, S(8)*c*d**S(3)*sqrt(c*sec(a + b*x))/(S(3)*b*sqrt(d*csc(a + b*x))) - S(2)*c*d*sqrt(c*sec(a + b*x))*(d*csc(a + b*x))**(S(3)/2)/(S(3)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(3)/2)*(d*csc(a + b*x))**(S(3)/2), x), x, -S(4)*c**S(2)*d**S(2)*EllipticE(-Pi/S(4) + a + b*x, S(2))/(b*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*sqrt(sin(S(2)*a + S(2)*b*x))) + S(4)*c*d**S(3)*sqrt(c*sec(a + b*x))/(b*(d*csc(a + b*x))**(S(3)/2)) - S(2)*c*d*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(3)/2)*sqrt(d*csc(a + b*x)), x), x, S(2)*c*d*sqrt(c*sec(a + b*x))/(b*sqrt(d*csc(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(3)/2)/sqrt(d*csc(a + b*x)), x), x, -S(2)*c**S(2)*EllipticE(-Pi/S(4) + a + b*x, S(2))/(b*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*sqrt(sin(S(2)*a + S(2)*b*x))) + S(2)*c*d*sqrt(c*sec(a + b*x))/(b*(d*csc(a + b*x))**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(3)/2)/(d*csc(a + b*x))**(S(3)/2), x), x, sqrt(S(2))*c**S(2)*sqrt(d*csc(a + b*x))*ArcTan(-sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(2)*b*d**S(2)*sqrt(c*sec(a + b*x))) - sqrt(S(2))*c**S(2)*sqrt(d*csc(a + b*x))*ArcTan(sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(2)*b*d**S(2)*sqrt(c*sec(a + b*x))) + sqrt(S(2))*c**S(2)*sqrt(d*csc(a + b*x))*log(-sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(4)*b*d**S(2)*sqrt(c*sec(a + b*x))) - sqrt(S(2))*c**S(2)*sqrt(d*csc(a + b*x))*log(sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(4)*b*d**S(2)*sqrt(c*sec(a + b*x))) + S(2)*c*sqrt(c*sec(a + b*x))/(b*d*sqrt(d*csc(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(3)/2)/(d*csc(a + b*x))**(S(5)/2), x), x, -S(3)*c**S(2)*EllipticE(-Pi/S(4) + a + b*x, S(2))/(b*d**S(2)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*sqrt(sin(S(2)*a + S(2)*b*x))) + S(2)*c*sqrt(c*sec(a + b*x))/(b*d*(d*csc(a + b*x))**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(5)/2)*(d*csc(a + b*x))**(S(9)/2), x), x, S(40)*c**S(2)*d**S(4)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*EllipticF(-Pi/S(4) + a + b*x, S(2))*sqrt(sin(S(2)*a + S(2)*b*x))/(S(21)*b) + S(40)*c*d**S(5)*(c*sec(a + b*x))**(S(3)/2)/(S(21)*b*sqrt(d*csc(a + b*x))) - S(20)*c*d**S(3)*(c*sec(a + b*x))**(S(3)/2)*(d*csc(a + b*x))**(S(3)/2)/(S(21)*b) - S(2)*c*d*(c*sec(a + b*x))**(S(3)/2)*(d*csc(a + b*x))**(S(7)/2)/(S(7)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(5)/2)*(d*csc(a + b*x))**(S(7)/2), x), x, S(64)*c*d**S(5)*(c*sec(a + b*x))**(S(3)/2)/(S(15)*b*(d*csc(a + b*x))**(S(3)/2)) - S(16)*c*d**S(3)*(c*sec(a + b*x))**(S(3)/2)*sqrt(d*csc(a + b*x))/(S(5)*b) - S(2)*c*d*(c*sec(a + b*x))**(S(3)/2)*(d*csc(a + b*x))**(S(5)/2)/(S(5)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(5)/2)*(d*csc(a + b*x))**(S(5)/2), x), x, S(4)*c**S(2)*d**S(2)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*EllipticF(-Pi/S(4) + a + b*x, S(2))*sqrt(sin(S(2)*a + S(2)*b*x))/(S(3)*b) + S(4)*c*d**S(3)*(c*sec(a + b*x))**(S(3)/2)/(S(3)*b*sqrt(d*csc(a + b*x))) - S(2)*c*d*(c*sec(a + b*x))**(S(3)/2)*(d*csc(a + b*x))**(S(3)/2)/(S(3)*b), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(5)/2)*(d*csc(a + b*x))**(S(3)/2), x), x, S(8)*c*d**S(3)*(c*sec(a + b*x))**(S(3)/2)/(S(3)*b*(d*csc(a + b*x))**(S(3)/2)) - S(2)*c*d*(c*sec(a + b*x))**(S(3)/2)*sqrt(d*csc(a + b*x))/b, expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(5)/2)*sqrt(d*csc(a + b*x)), x), x, S(2)*c**S(2)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*EllipticF(-Pi/S(4) + a + b*x, S(2))*sqrt(sin(S(2)*a + S(2)*b*x))/(S(3)*b) + S(2)*c*d*(c*sec(a + b*x))**(S(3)/2)/(S(3)*b*sqrt(d*csc(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(5)/2)/sqrt(d*csc(a + b*x)), x), x, S(2)*c*d*(c*sec(a + b*x))**(S(3)/2)/(S(3)*b*(d*csc(a + b*x))**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(5)/2)/(d*csc(a + b*x))**(S(3)/2), x), x, -c**S(2)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*EllipticF(-Pi/S(4) + a + b*x, S(2))*sqrt(sin(S(2)*a + S(2)*b*x))/(S(3)*b*d**S(2)) + S(2)*c*(c*sec(a + b*x))**(S(3)/2)/(S(3)*b*d*sqrt(d*csc(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((c*sec(a + b*x))**(S(5)/2)/(d*csc(a + b*x))**(S(5)/2), x), x, sqrt(S(2))*c**S(2)*sqrt(c*sec(a + b*x))*ArcTan(-sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))/(S(2)*b*d**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) - sqrt(S(2))*c**S(2)*sqrt(c*sec(a + b*x))*ArcTan(sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))/(S(2)*b*d**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) - sqrt(S(2))*c**S(2)*sqrt(c*sec(a + b*x))*log(-sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))/(S(4)*b*d**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) + sqrt(S(2))*c**S(2)*sqrt(c*sec(a + b*x))*log(sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))/(S(4)*b*d**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) + S(2)*c*(c*sec(a + b*x))**(S(3)/2)/(S(3)*b*d*(d*csc(a + b*x))**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*csc(a + b*x))**(S(9)/2)/sqrt(c*sec(a + b*x)), x), x, -S(8)*c*d**S(3)*(d*csc(a + b*x))**(S(3)/2)/(S(21)*b*(c*sec(a + b*x))**(S(3)/2)) - S(2)*c*d*(d*csc(a + b*x))**(S(7)/2)/(S(7)*b*(c*sec(a + b*x))**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*csc(a + b*x))**(S(7)/2)/sqrt(c*sec(a + b*x)), x), x, -S(4)*c*d**S(3)*sqrt(d*csc(a + b*x))/(S(5)*b*(c*sec(a + b*x))**(S(3)/2)) - S(2)*c*d*(d*csc(a + b*x))**(S(5)/2)/(S(5)*b*(c*sec(a + b*x))**(S(3)/2)) - S(4)*d**S(4)*EllipticE(-Pi/S(4) + a + b*x, S(2))/(S(5)*b*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*sqrt(sin(S(2)*a + S(2)*b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*csc(a + b*x))**(S(5)/2)/sqrt(c*sec(a + b*x)), x), x, -S(2)*c*d*(d*csc(a + b*x))**(S(3)/2)/(S(3)*b*(c*sec(a + b*x))**(S(3)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*csc(a + b*x))**(S(3)/2)/sqrt(c*sec(a + b*x)), x), x, -S(2)*c*d*sqrt(d*csc(a + b*x))/(b*(c*sec(a + b*x))**(S(3)/2)) - S(2)*d**S(2)*EllipticE(-Pi/S(4) + a + b*x, S(2))/(b*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*sqrt(sin(S(2)*a + S(2)*b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(d*csc(a + b*x))/sqrt(c*sec(a + b*x)), x), x, -sqrt(S(2))*sqrt(d*csc(a + b*x))*ArcTan(-sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(2)*b*sqrt(c*sec(a + b*x))) + sqrt(S(2))*sqrt(d*csc(a + b*x))*ArcTan(sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(2)*b*sqrt(c*sec(a + b*x))) - sqrt(S(2))*sqrt(d*csc(a + b*x))*log(-sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(4)*b*sqrt(c*sec(a + b*x))) + sqrt(S(2))*sqrt(d*csc(a + b*x))*log(sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(4)*b*sqrt(c*sec(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))), x), x, EllipticE(-Pi/S(4) + a + b*x, S(2))/(b*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*sqrt(sin(S(2)*a + S(2)*b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(sqrt(c*sec(a + b*x))*(d*csc(a + b*x))**(S(3)/2)), x), x, -c/(S(2)*b*d*(c*sec(a + b*x))**(S(3)/2)*sqrt(d*csc(a + b*x))) - sqrt(S(2))*sqrt(d*csc(a + b*x))*ArcTan(-sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(8)*b*d**S(2)*sqrt(c*sec(a + b*x))) + sqrt(S(2))*sqrt(d*csc(a + b*x))*ArcTan(sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(8)*b*d**S(2)*sqrt(c*sec(a + b*x))) - sqrt(S(2))*sqrt(d*csc(a + b*x))*log(-sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(16)*b*d**S(2)*sqrt(c*sec(a + b*x))) + sqrt(S(2))*sqrt(d*csc(a + b*x))*log(sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(16)*b*d**S(2)*sqrt(c*sec(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/(sqrt(c*sec(a + b*x))*(d*csc(a + b*x))**(S(5)/2)), x), x, -c/(S(3)*b*d*(c*sec(a + b*x))**(S(3)/2)*(d*csc(a + b*x))**(S(3)/2)) + EllipticE(-Pi/S(4) + a + b*x, S(2))/(S(2)*b*d**S(2)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*sqrt(sin(S(2)*a + S(2)*b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*csc(a + b*x))**(S(11)/2)/(c*sec(a + b*x))**(S(3)/2), x), x, S(8)*d**S(5)*sqrt(d*csc(a + b*x))/(S(45)*b*c*sqrt(c*sec(a + b*x))) + S(2)*d**S(3)*(d*csc(a + b*x))**(S(5)/2)/(S(45)*b*c*sqrt(c*sec(a + b*x))) - S(2)*d*(d*csc(a + b*x))**(S(9)/2)/(S(9)*b*c*sqrt(c*sec(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*csc(a + b*x))**(S(9)/2)/(c*sec(a + b*x))**(S(3)/2), x), x, S(2)*d**S(3)*(d*csc(a + b*x))**(S(3)/2)/(S(21)*b*c*sqrt(c*sec(a + b*x))) - S(2)*d*(d*csc(a + b*x))**(S(7)/2)/(S(7)*b*c*sqrt(c*sec(a + b*x))) - S(2)*d**S(4)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*EllipticF(-Pi/S(4) + a + b*x, S(2))*sqrt(sin(S(2)*a + S(2)*b*x))/(S(21)*b*c**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*csc(a + b*x))**(S(7)/2)/(c*sec(a + b*x))**(S(3)/2), x), x, -S(2)*c*d*(d*csc(a + b*x))**(S(5)/2)/(S(5)*b*(c*sec(a + b*x))**(S(5)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*csc(a + b*x))**(S(5)/2)/(c*sec(a + b*x))**(S(3)/2), x), x, -S(2)*d*(d*csc(a + b*x))**(S(3)/2)/(S(3)*b*c*sqrt(c*sec(a + b*x))) - d**S(2)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*EllipticF(-Pi/S(4) + a + b*x, S(2))*sqrt(sin(S(2)*a + S(2)*b*x))/(S(3)*b*c**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*csc(a + b*x))**(S(3)/2)/(c*sec(a + b*x))**(S(3)/2), x), x, -S(2)*d*sqrt(d*csc(a + b*x))/(b*c*sqrt(c*sec(a + b*x))) + sqrt(S(2))*d**S(2)*sqrt(c*sec(a + b*x))*ArcTan(-sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))/(S(2)*b*c**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) - sqrt(S(2))*d**S(2)*sqrt(c*sec(a + b*x))*ArcTan(sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))/(S(2)*b*c**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) - sqrt(S(2))*d**S(2)*sqrt(c*sec(a + b*x))*log(-sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))/(S(4)*b*c**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) + sqrt(S(2))*d**S(2)*sqrt(c*sec(a + b*x))*log(sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))/(S(4)*b*c**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(d*csc(a + b*x))/(c*sec(a + b*x))**(S(3)/2), x), x, d/(b*c*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))) + sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*EllipticF(-Pi/S(4) + a + b*x, S(2))*sqrt(sin(S(2)*a + S(2)*b*x))/(S(2)*b*c**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((c*sec(a + b*x))**(S(3)/2)*sqrt(d*csc(a + b*x))), x), x, d/(S(2)*b*c*sqrt(c*sec(a + b*x))*(d*csc(a + b*x))**(S(3)/2)) - sqrt(S(2))*sqrt(c*sec(a + b*x))*ArcTan(-sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))/(S(8)*b*c**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) + sqrt(S(2))*sqrt(c*sec(a + b*x))*ArcTan(sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))/(S(8)*b*c**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) + sqrt(S(2))*sqrt(c*sec(a + b*x))*log(-sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))/(S(16)*b*c**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) - sqrt(S(2))*sqrt(c*sec(a + b*x))*log(sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))/(S(16)*b*c**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((c*sec(a + b*x))**(S(3)/2)*(d*csc(a + b*x))**(S(3)/2)), x), x, -c/(S(3)*b*d*(c*sec(a + b*x))**(S(5)/2)*sqrt(d*csc(a + b*x))) + S(1)/(S(6)*b*c*d*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))) + sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*EllipticF(-Pi/S(4) + a + b*x, S(2))*sqrt(sin(S(2)*a + S(2)*b*x))/(S(12)*b*c**S(2)*d**S(2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((c*sec(a + b*x))**(S(3)/2)*(d*csc(a + b*x))**(S(5)/2)), x), x, -c/(S(4)*b*d*(c*sec(a + b*x))**(S(5)/2)*(d*csc(a + b*x))**(S(3)/2)) + S(3)/(S(16)*b*c*d*sqrt(c*sec(a + b*x))*(d*csc(a + b*x))**(S(3)/2)) - S(3)*sqrt(S(2))*sqrt(c*sec(a + b*x))*ArcTan(-sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))/(S(64)*b*c**S(2)*d**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) + S(3)*sqrt(S(2))*sqrt(c*sec(a + b*x))*ArcTan(sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))/(S(64)*b*c**S(2)*d**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) + S(3)*sqrt(S(2))*sqrt(c*sec(a + b*x))*log(-sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))/(S(128)*b*c**S(2)*d**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))) - S(3)*sqrt(S(2))*sqrt(c*sec(a + b*x))*log(sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))/(S(128)*b*c**S(2)*d**S(2)*sqrt(d*csc(a + b*x))*sqrt(tan(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*csc(a + b*x))**(S(9)/2)/(c*sec(a + b*x))**(S(5)/2), x), x, -S(2)*c*d*(d*csc(a + b*x))**(S(7)/2)/(S(7)*b*(c*sec(a + b*x))**(S(7)/2)), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*csc(a + b*x))**(S(7)/2)/(c*sec(a + b*x))**(S(5)/2), x), x, S(6)*d**S(3)*sqrt(d*csc(a + b*x))/(S(5)*b*c*(c*sec(a + b*x))**(S(3)/2)) - S(2)*d*(d*csc(a + b*x))**(S(5)/2)/(S(5)*b*c*(c*sec(a + b*x))**(S(3)/2)) + S(6)*d**S(4)*EllipticE(-Pi/S(4) + a + b*x, S(2))/(S(5)*b*c**S(2)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*sqrt(sin(S(2)*a + S(2)*b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*csc(a + b*x))**(S(5)/2)/(c*sec(a + b*x))**(S(5)/2), x), x, -S(2)*d*(d*csc(a + b*x))**(S(3)/2)/(S(3)*b*c*(c*sec(a + b*x))**(S(3)/2)) + sqrt(S(2))*d**S(2)*sqrt(d*csc(a + b*x))*ArcTan(-sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(2)*b*c**S(2)*sqrt(c*sec(a + b*x))) - sqrt(S(2))*d**S(2)*sqrt(d*csc(a + b*x))*ArcTan(sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(2)*b*c**S(2)*sqrt(c*sec(a + b*x))) + sqrt(S(2))*d**S(2)*sqrt(d*csc(a + b*x))*log(-sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(4)*b*c**S(2)*sqrt(c*sec(a + b*x))) - sqrt(S(2))*d**S(2)*sqrt(d*csc(a + b*x))*log(sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(4)*b*c**S(2)*sqrt(c*sec(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((d*csc(a + b*x))**(S(3)/2)/(c*sec(a + b*x))**(S(5)/2), x), x, -S(2)*d*sqrt(d*csc(a + b*x))/(b*c*(c*sec(a + b*x))**(S(3)/2)) - S(3)*d**S(2)*EllipticE(-Pi/S(4) + a + b*x, S(2))/(b*c**S(2)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*sqrt(sin(S(2)*a + S(2)*b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(sqrt(d*csc(a + b*x))/(c*sec(a + b*x))**(S(5)/2), x), x, d/(S(2)*b*c*(c*sec(a + b*x))**(S(3)/2)*sqrt(d*csc(a + b*x))) - S(3)*sqrt(S(2))*sqrt(d*csc(a + b*x))*ArcTan(-sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(8)*b*c**S(2)*sqrt(c*sec(a + b*x))) + S(3)*sqrt(S(2))*sqrt(d*csc(a + b*x))*ArcTan(sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(8)*b*c**S(2)*sqrt(c*sec(a + b*x))) - S(3)*sqrt(S(2))*sqrt(d*csc(a + b*x))*log(-sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(16)*b*c**S(2)*sqrt(c*sec(a + b*x))) + S(3)*sqrt(S(2))*sqrt(d*csc(a + b*x))*log(sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(16)*b*c**S(2)*sqrt(c*sec(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((c*sec(a + b*x))**(S(5)/2)*sqrt(d*csc(a + b*x))), x), x, d/(S(3)*b*c*(c*sec(a + b*x))**(S(3)/2)*(d*csc(a + b*x))**(S(3)/2)) + EllipticE(-Pi/S(4) + a + b*x, S(2))/(S(2)*b*c**S(2)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*sqrt(sin(S(2)*a + S(2)*b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((c*sec(a + b*x))**(S(5)/2)*(d*csc(a + b*x))**(S(3)/2)), x), x, -c/(S(4)*b*d*(c*sec(a + b*x))**(S(7)/2)*sqrt(d*csc(a + b*x))) + S(1)/(S(16)*b*c*d*(c*sec(a + b*x))**(S(3)/2)*sqrt(d*csc(a + b*x))) - S(3)*sqrt(S(2))*sqrt(d*csc(a + b*x))*ArcTan(-sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(64)*b*c**S(2)*d**S(2)*sqrt(c*sec(a + b*x))) + S(3)*sqrt(S(2))*sqrt(d*csc(a + b*x))*ArcTan(sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(64)*b*c**S(2)*d**S(2)*sqrt(c*sec(a + b*x))) - S(3)*sqrt(S(2))*sqrt(d*csc(a + b*x))*log(-sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(128)*b*c**S(2)*d**S(2)*sqrt(c*sec(a + b*x))) + S(3)*sqrt(S(2))*sqrt(d*csc(a + b*x))*log(sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(128)*b*c**S(2)*d**S(2)*sqrt(c*sec(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((c*sec(a + b*x))**(S(5)/2)*(d*csc(a + b*x))**(S(5)/2)), x), x, -c/(S(5)*b*d*(c*sec(a + b*x))**(S(7)/2)*(d*csc(a + b*x))**(S(3)/2)) + S(1)/(S(10)*b*c*d*(c*sec(a + b*x))**(S(3)/2)*(d*csc(a + b*x))**(S(3)/2)) + S(3)*EllipticE(-Pi/S(4) + a + b*x, S(2))/(S(20)*b*c**S(2)*d**S(2)*sqrt(c*sec(a + b*x))*sqrt(d*csc(a + b*x))*sqrt(sin(S(2)*a + S(2)*b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(S(1)/((c*sec(a + b*x))**(S(5)/2)*(d*csc(a + b*x))**(S(7)/2)), x), x, -c/(S(6)*b*d*(c*sec(a + b*x))**(S(7)/2)*(d*csc(a + b*x))**(S(5)/2)) - S(5)*c/(S(48)*b*d**S(3)*(c*sec(a + b*x))**(S(7)/2)*sqrt(d*csc(a + b*x))) + S(5)/(S(192)*b*c*d**S(3)*(c*sec(a + b*x))**(S(3)/2)*sqrt(d*csc(a + b*x))) - S(5)*sqrt(S(2))*sqrt(d*csc(a + b*x))*ArcTan(-sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(256)*b*c**S(2)*d**S(4)*sqrt(c*sec(a + b*x))) + S(5)*sqrt(S(2))*sqrt(d*csc(a + b*x))*ArcTan(sqrt(S(2))*sqrt(tan(a + b*x)) + S(1))*sqrt(tan(a + b*x))/(S(256)*b*c**S(2)*d**S(4)*sqrt(c*sec(a + b*x))) - S(5)*sqrt(S(2))*sqrt(d*csc(a + b*x))*log(-sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(512)*b*c**S(2)*d**S(4)*sqrt(c*sec(a + b*x))) + S(5)*sqrt(S(2))*sqrt(d*csc(a + b*x))*log(sqrt(S(2))*sqrt(tan(a + b*x)) + tan(a + b*x) + S(1))*sqrt(tan(a + b*x))/(S(512)*b*c**S(2)*d**S(4)*sqrt(c*sec(a + b*x))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate(csc(e + f*x)**n*sec(e + f*x)**m, x), x, (cos(e + f*x)**S(2))**(m/S(2) + S(1)/2)*Hypergeometric2F1(m/S(2) + S(1)/2, -n/S(2) + S(1)/2, -n/S(2) + S(3)/2, sin(e + f*x)**S(2))*csc(e + f*x)**(n + S(-1))*sec(e + f*x)**(m + S(1))/(f*(-n + S(1))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((a*sec(e + f*x))**m*csc(e + f*x)**n, x), x, -(a*sec(e + f*x))**m*(sin(e + f*x)**S(2))**(n/S(2) + S(1)/2)*Hypergeometric2F1(-m/S(2) + S(1)/2, n/S(2) + S(1)/2, -m/S(2) + S(3)/2, cos(e + f*x)**S(2))*cos(e + f*x)*csc(e + f*x)**(n + S(1))/(f*(-m + S(1))), expand=True, _diff=True, _numerical=True)
assert rubi_test(rubi_integrate((b*csc(e + f*x))**n*sec(e + f*x)**m, x), x, (b*csc(e + f*x))**n*(cos(e + f*x)**S(2))**(m/S(2) + S(1)/2)*Hypergeometric2F1(m/S(2) + S(1)/2, -n/S(2) + S(1)/2, -n/S(2) + S(3)/2, sin(e + f*x)**S(2))*sin(e + f*x)*sec(e + f*x)**(m + S(1))/(f*(-n + S(1))), expand=True, _diff=True, _numerical=True)
| 219.592506 | 996 | 0.553793 | 21,966 | 93,766 | 2.311937 | 0.026996 | 0.059034 | 0.058778 | 0.073606 | 0.86159 | 0.857849 | 0.852946 | 0.846133 | 0.842116 | 0.833235 | 0 | 0.045775 | 0.10651 | 93,766 | 426 | 997 | 220.107981 | 0.560391 | 0.000416 | 0 | 0.004773 | 0 | 0.002387 | 0.000886 | 0 | 0 | 0 | 0 | 0 | 0.673031 | 1 | 0.002387 | false | 0 | 0.052506 | 0 | 0.054893 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
fc6466b005aae838ae463cd3d6d4e1140ecdfb03 | 612,170 | py | Python | BestMtgDeck/prices_usd.py | ElLorans/Best-MTG-Deck | 79170d547982421e5e94a36ed1e76d5db8670c20 | [
"Apache-2.0"
] | 10 | 2020-06-30T13:37:03.000Z | 2022-01-30T04:13:45.000Z | BestMtgDeck/prices_usd.py | ElLorans/Best-MTG-Deck | 79170d547982421e5e94a36ed1e76d5db8670c20 | [
"Apache-2.0"
] | 11 | 2021-04-06T05:29:37.000Z | 2022-01-02T09:13:40.000Z | BestMtgDeck/prices_usd.py | ElLorans/Best-MTG-Deck | 79170d547982421e5e94a36ed1e76d5db8670c20 | [
"Apache-2.0"
] | 2 | 2021-04-15T07:52:28.000Z | 2021-05-05T19:48:51.000Z | prices_usd = {'black lotus': 6826.21, 'mox sapphire': 2538.67, 'time walk': 1480.89, 'mox jet': 2538.76, 'mox pearl': 1396.26, 'timetwister': 1221.97, 'mox emerald': 2454.05, 'taiga': 103.16, 'serra angel': 0.09, 'underground sea': 280.0, 'mox ruby': 2534.44, 'ancestral recall': 1942.0, 'volcanic island': 267.7, 'time vault': 543.69, 'demonic tutor': 35.63, 'birds of paradise': 10.79, 'tropical island': 215.19, 'bayou': 180.3, 'chaos orb': 896.24, 'savannah': 102.12, 'tundra': 0.25, 'badlands': 0.02, 'vesuvan doppelganger': 6.63, 'the tabernacle at pendrell vale': 1526.41, 'nightmare': 0.1, 'plateau': 87.61, 'wheel of fortune': 0.02, 'scrubland': 100.0, 'mind twist': 0.02, 'shivan dragon': 0.16, 'mahamoti djinn': 0.09, 'mana vault': 82.89, 'gauntlet of might': 399.17, 'bazaar of baghdad': 971.31, 'wrath of god': 5.23, 'juzám djinn': 869.67, "nevinyrral's disk": 0.25, 'forcefield': 217.23, 'swords to plowshares': 1.79, 'sol ring': 1.84, "mishra's workshop": 832.38, 'library of alexandria': 804.35, 'balance': 3.01, 'timber wolves': 0.33, 'braingeyser': 7.59, 'howling mine': 5.87, 'icy manipulator': 0.1, 'hypnotic specter': 1.61, 'lord of atlantis': 24.31, 'cyclopean tomb': 76.7, 'lich': 89.35, 'earthquake': 0.88, 'jayemdae tome': 0.08, 'stasis': 0.22, 'fastbond': 11.25, 'savannah lions': 0.24, 'copy artifact': 26.74, 'winter orb': 14.32, 'counterspell': 1.43, 'royal assassin': 0.98, 'disrupting scepter': 0.24, 'armageddon': 8.43, 'mutavault': 8.31, 'granite gargoyle': 2.11, 'ankh of mishra': 1.69, 'dwarven warriors': 0.11, 'chains of mephistopheles': 473.62, 'black knight': 0.15, 'candelabra of tawnos': 465.13, 'moat': 463.44, 'the abyss': 461.64, 'fork': 15.28, 'crusade': 0.5, 'word of command': 126.93, 'demonic attorney': 1.29, 'lord of the pit': 0.18, 'animate dead': 4.55, 'force of nature': 0.15, 'shatter': 0.01, 'sacrifice': 0.18, 'sedge troll': 3.62, 'meekstone': 6.27, 'white knight': 0.13, 'pirate ship': 0.29, 'kudzu': 1.01, 'drop of honey': 375.47, 'onulet': 0.25, 'berserk': 31.29, 'mana flare': 1.91, 'raging river': 177.48, 'city of brass': 26.53, 'goblin king': 13.13, 'water elemental': 0.08, 'elvish archers': 0.33, 'natural selection': 250.5, 'nether void': 357.53, 'mana short': 2.91, 'disenchant': 0.05, 'uthden troll': 0.14, 'imperial seal': 348.06, 'blaze of glory': 38.36, 'bad moon': 3.27, 'darkpact': 0.88, 'dark ritual': 0.59, 'rock hydra': 2.31, 'black vise': 0.02, 'personal incarnation': 0.24, 'two-headed giant of foriys': 31.12, 'wall of ice': 0.32, 'invoke prejudice': 317.82, 'mana crypt': 159.47, 'serendib efreet': 0.09, 'lightning bolt': 2.47, 'control magic': 0.84, 'channel': 0.5, 'illusionary mask': 143.01, 'fire elemental': 0.01, 'terror': 0.1, "will-o'-the-wisp": 0.32, 'sengir vampire': 0.07, "gaea's cradle": 1110.45, 'guardian beast': 278.35, 'warp artifact': 0.26, "gaea's liege": 0.23, 'purelace': 0.21, 'zombie master': 3.01, 'mox opal': 51.12, 'northern paladin': 0.75, 'regrowth': 0.48, 'eureka': 262.58, 'demonic hordes': 0.02, 'liliana of the veil': 67.17, 'smoke': 1.71, 'diamond valley': 251.59, "mons's goblin raiders": 0.67, 'bog wraith': 0.04, 'verduran enchantress': 3.79, 'the hive': 0.25, 'roc of kher ridges': 1.17, 'contract from below': 2.07, 'dragon whelp': 0.17, 'city in a bottle': 241.7, 'mox diamond': 210.55, 'giant growth': 0.05, 'wild growth': 0.33, 'shahrazad': 522.08, 'power surge': 0.98, 'force of will': 106.09, 'farmstead': 0.25, 'animate artifact': 0.09, 'juggernaut': 0.01, 'righteousness': 0.04, 'volcanic eruption': 0.25, 'jade monolith': 0.26, 'veteran bodyguard': 0.02, 'psionic blast': 6.51, 'mesa pegasus': 0.04, "mishra's factory": 0.06, 'island sanctuary': 0.02, 'nether shadow': 0.02, 'magical hack': 0.43, 'deathlace': 0.22, 'blue elemental blast': 0.24, 'kormus bell': 0.45, 'tranquility': 0.04, 'howl from beyond': 0.04, 'flight': 0.05, 'plague rats': 0.22, 'earthbind': 0.07, 'unholy strength': 0.13, 'holy armor': 0.07, 'guardian angel': 0.02, 'giant spider': 0.01, 'spell blast': 0.02, 'psychic venom': 0.04, 'unsummon': 0.07, 'sleight of mind': 0.22, 'copper tablet': 8.41, 'obsianus golem': 0.08, 'conservator': 0.13, 'blue ward': 0.11, 'burrowing': 0.13, 'lifelace': 0.15, 'thoughtlace': 0.2, 'ice storm': 25.14, 'clockwork beast': 0.18, 'chaoslace': 0.23, 'helm of chatzuk': 0.31, 'living lands': 0.18, 'cavern of souls': 84.83, 'drain power': 0.62, 'web': 0.18, 'aspect of wolf': 0.47, 'snapcaster mage': 50.27, 'teferi, hero of dominaria': 25.05, "all hallow's eve": 173.96, 'liliana, the last hope': 17.33, 'clone': 0.28, "lion's eye diamond": 170.16, 'dingus egg': 0.35, 'blessing': 0.07, 'sunglasses of urza': 0.34, 'capture of jingzhou': 164.33, 'paralyze': 0.06, 'cockatrice': 0.26, 'jace, the mind sculptor': 55.42, 'mirror universe': 161.65, 'jihad': 159.68, 'dwarven demolition team': 0.16, 'chalice of the void': 70.41, 'fog': 0.25, 'fungusaur': 0.27, 'sword of feast and famine': 63.19, 'living artifact': 0.26, 'samite healer': 0.14, 'chandra, torch of defiance': 6.27, 'ali from cairo': 149.38, 'manabarbs': 0.66, 'lotus petal': 4.34, 'karn liberated': 26.21, 'arcbound ravager': 20.0, 'tarmogoyf': 18.8, 'reverse damage': 0.34, 'doran, the siege tower': 4.57, 'erhnam djinn': 0.19, 'goblin balloon brigade': 0.05, 'basalt monolith': 2.57, 'ensnaring bridge': 20.58, 'resurrection': 0.14, 'transmute artifact': 131.72, 'circle of protection: blue': 0.1, 'orcish artillery': 0.15, 'ugin, the spirit dragon': 21.53, 'mana drain': 44.99, 'gwendlyn di corci': 125.83, 'drudge skeletons': 0.25, 'elvish champion': 31.42, 'power artifact': 120.65, 'reconstruction': 0.07, 'craw wurm': 0.07, 'angus mackenzie': 119.67, 'tahngarth, talruum hero': 1.5, 'earth elemental': 0.01, 'old man of the sea': 118.93, 'gloom': 0.14, 'engineered explosives': 16.42, 'sinkhole': 5.23, 'city of traitors': 116.14, 'living plane': 114.76, 'library of leng': 0.02, 'soul net': 0.14, 'crucible of worlds': 38.13, 'chrome mox': 64.25, 'gilded drake': 294.42, "jace, vryn's prodigy": 10.89, 'jace, telepath unbound': 10.89, 'blood moon': 15.88, 'jade statue': 0.24, 'hurricane': 0.51, 'thoughtseize': 12.23, 'liliana of the dark realms': 18.15, 'grim monolith': 336.54, 'thunder spirit': 106.66, 'sword of fire and ice': 51.69, 'noble hierarch': 14.1, 'llanowar elves': 0.86, 'animate wall': 0.21, 'ravages of war': 104.07, 'scroll rack': 16.2, 'grim tutor': 15.87, 'concordant crossroads': 20.05, 'aether vial': 30.62, 'gray ogre': 0.07, 'wurmcoil engine': 22.28, 'karn, scion of urza': 7.61, 'the scarab god': 39.18, 'cursed land': 0.19, 'tsunami': 0.14, 'staff of domination': 2.87, 'land equilibrium': 95.07, 'sylvan library': 42.88, 'chandra, pyromaster': 1.25, 'allosaurus shepherd': 62.34, 'orcish oriflamme': 0.03, 'pyramids': 219.83, 'sword of war and peace': 14.47, 'steel overseer': 0.99, 'keldon warlord': 0.02, 'damnation': 26.37, 'hazezon tamar': 84.31, 'king suleiman': 211.87, 'solemn simulacrum': 1.2, 'dark depths': 15.69, 'sword of light and shadow': 22.9, "serra's sanctum": 290.34, 'ancient tomb': 51.41, 'tamiyo, the moon sage': 13.78, 'hangarback walker': 4.79, 'daze': 0.93, 'zodiac dragon': 80.76, 'nissa, vital force': 6.88, 'lightning greaves': 6.94, 'cryptic command': 17.81, 'sliver queen': 76.5, 'wanderlust': 0.09, 'argivian archaeologist': 75.86, 'ertai, the corrupted': 5.21, 'ajani, caller of the pride': 4.41, 'omniscience': 13.01, 'ifh-bíff efreet': 75.0, 'liliana, untouched by death': 11.04, 'nicol bolas, dragon-god': 7.54, 'skyship weatherlight': 2.55, 'jace, memory adept': 7.47, 'ornithopter': 0.39, 'oblivion stone': 2.85, 'through the breach': 1.85, 'vampiric tutor': 47.43, 'glasses of urza': 0.04, 'elspeth, knight-errant': 13.46, 'in the eye of chaos': 72.6, 'eternal witness': 2.86, 'phantasmal forces': 0.1, 'survival of the fittest': 71.42, 'lure': 0.09, 'living wall': 0.22, 'imperial recruiter': 6.83, 'bitterblossom': 44.34, 'domri, chaos bringer': 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(big furry monster)': 13.46, 'beledros witherbloom': 11.22, 'clever lumimancer': 0.15, 'taiga stadium': 2.22, 'turntimber ascetic': 0.01, 'augmenter pugilist // echoing equation': 0.29, 'augmenter pugilist': 0.19, 'practical research': 0.01, 'spell satchel': 0.03, 'revival experiment': 0.18, 'skeleton': 0.08, 'giant killer // chop down': 0.35, 'esika, god of the tree // the prismatic bridge': 7.97, 'quandrix apprentice': 0.03, 'fiery encore': 0.13, 'bronze guardian': 0.52, 'homunculus': 0.05, 'kiora, master of the depths emblem': 0.13, 'kinsbaile courier': 0.01, 'geometric nexus': 0.12, 'hall monitor': 0.02, "hadana's climb // winged temple of orazca": 3.65, 'lightning colt': 1.05, 'blood price': 0.01, 'noxious bayou': 3.14, 'silverflame squire // on alert': 0.03, 'elf knight': 0.02, 'rune of speed': 0.03, 'tezzeret, artifice master emblem': 0.34, 'etherium cell': 0.11, 'punchcard': 0.04, 'thraben sentry // thraben militia': 0.11, 'callous bloodmage': 0.28, 'soulmates': 3.77, 'toil // 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'garruk': 0.46, 'feed the serpent': 0.01, 'guul draz mucklord': 0.01, 'baleful mastery': 1.86, 'who // what // when // where // why': 0.16, 'mascot interception': 0.02, 'monstrous step': 0.02, 'bear': 0.24, 'wings of the cosmos': 0.01, 'huatli, radiant champion emblem': 0.1, 'cat dragon': 2.3, 'akoum warrior // akoum teeth': 0.03, 'akoum warrior': 0.04, 'beyeen veil': 0.09, 'shaile, dean of radiance // embrose, dean of shadow': 0.25, 'shaile, dean of radiance': 0.19, 'plumb the forbidden': 1.85, 'kessig forgemaster // flameheart werewolf': 0.22, "death's oasis": 0.17, 'garruk, caller of beasts emblem': 0.4, 'land mine': 0.16, 'tome shredder': 0.01, 'waste land': 1.82, 'pyroclastic hellion': 0.01, 'academic dispute': 0.01, 'kitsune mystic // autumn-tail, kitsune sage': 0.48, 'the prismatic piper': 0.03, 'blex, vexing pest // search for blex': 1.92, 'blex, vexing pest': 1.4, 'sorin, lord of innistrad emblem': 3.95, 'verdant mastery': 0.11, 'giant ox': 0.02, 'core set 2019 checklist': 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golgari queen emblem': 0.31, 'blight mound': 0.79, 'depose // deploy': 0.1, 'thrilling discovery': 0.26, 'planequake': 1.09, 'how to keep an izzet mage busy': 1.62, 'blood poet': 1.97, 'guardian archon': 0.12, 'brackish trudge': 0.01, 'bretagard stronghold': 0.06, 'expressive iteration': 5.9, 'brazen borrower // petty theft': 19.05, 'village ironsmith // ironfang': 0.13, 'illuminate history': 0.1, 'priority avenger': 1.14, 'mercurial transformation': 0.01, 'fascist art director': 0.12, 'imaginary friends': 0.7, 'dragon': 3.54, 'elf druid': 4.19, 'alharu, solemn ritualist': 0.02, 'lonesome unicorn // rider in need': 0.03, 'control win condition': 1.8, 'solitary hunter // one of the pack': 0.12, 'pentavite': 0.1, 'shineshadow snarl': 2.06, 'alena, kessig trapper': 0.06, 'bound in gold': 0.02, 'jadzi, oracle of arcavios // journey to the oracle': 1.49, 'jadzi, oracle of arcavios': 0.89, 'reduce // rubble': 0.05, 'fervent mastery': 0.14, 'smashing success': 0.01, 'night // day': 0.15, 'budoka gardener // dokai, weaver of life': 1.36, 'rip apart': 0.29, 'shadows over innistrad checklist 1': 0.08, 'tempting contract': 1.17, 'domesticated mammoth': 0.73, 'surgeon general commander': 0.66, 'gatstaf arsonists // gatstaf ravagers': 0.07, 'vastwood fortification // vastwood thicket': 0.11, 'fractal summoning': 0.01, 'bookwurm': 0.03, 'mistwalker': 0.02, 'humiliate': 0.02, 'zombie wizard': 1.25, 'kruin outlaw // terror of kruin pass': 0.97, 'harald unites the elves': 0.19, 'axgard braggart': 0.01, 'wrong turn': 0.16, 'lurking deadeye': 0.02, 'buried ogre': 1.61, 'kessig prowler // sinuous predator': 0.18, 'nimana skitter-sneak': 0.01, 'grizzled angler // grisly anglerfish': 0.05, 'seafloor stalker': 0.02, 'reaper of night // harvest fear': 0.05, 'expedition champion': 0.01, 'baneslayer aspirant': 1.62, 'culmination of studies': 0.1, 'umbral juke': 0.01, 'heir of falkenrath // heir to the night': 0.11, 'novice dissector': 0.02, 'bury in books': 0.01, 'living tempest': 0.01, 'avian oddity': 0.02, 'bonecrusher giant // stomp': 1.28, 'supply // demand': 0.36, 'renegade reaper': 0.09, 'ascent of the worthy': 0.02, 'tentative connection': 0.01, 'ruxa, patient professor': 0.19, 'test of talents': 0.99, "erayo, soratami ascendant // erayo's essence": 11.95, 'teach by example': 0.07, 'blade banish': 0.01, "bear with set's mechanic": 1.62, 'manifestation sage': 0.09, 'start from scratch': 0.01, 'spellmorph raise dead': 1.3, 'guardian augmenter': 1.74, 'sproutback trudge': 0.18, 'zof consumption // zof bloodbog': 0.09, 'elbrus, the binding blade // withengar unbound': 5.34, 'inkshield': 4.24, 'elf warrior': 0.38, 'fin-clade fugitives': 0.01, 'ingenious mastery': 0.12, 'animating faerie // bring to life': 0.03, 'path of mettle // metzali, tower of triumph': 0.27, 'dauntless unity': 0.01, 'warchanter skald': 0.07, 'emergent sequence': 0.05, 'problematic volcano': 1.33, 'villagers of estwald // howlpack of estwald': 0.12, 'rowan, scholar of sparks // will, scholar of 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// gideon, battle-forged': 3.71, 'makindi ox': 0.01, 'anointer of valor': 0.01, 'digsite engineer': 0.21, 'dread rider': 0.01, 'human cleric': 4.07, 'gnarled professor': 0.09, 'curious pair // treats to share': 0.01, 'risen riptide': 0.02, 'underdark beholder': 1.16, 'proud wildbonder': 0.06, 'zombie giant': 0.1, 'garrison cat': 0.03, 'lambholt pacifist // lambholt butcher': 0.19, 'gnottvold recluse': 0.01, 'cunning rhetoric': 6.42, 'bayou groff': 0.03, 'horse': 0.73, 'glacian, powerstone engineer': 0.01, 'geometric weird': 1.12, 'elemental masterpiece': 0.01, 'ardenvale tactician // dizzying swoop': 0.02, 'hired muscle // scarmaker': 0.11, 'growing rites of itlimoc // itlimoc, cradle of the sun': 25.01, 'nightmare horror': 0.1, 'jace, telepath unbound emblem': 0.36, 'pithing spyglass': 2.09, 'study hall': 0.09, 'relic sloth': 0.01, 'down // dirty': 0.1, 'brinebarrow intruder': 0.01, 'construct': 0.97, 'hornbash mentor': 0.07, 'throat wolf': 2.29, 'double major': 1.24, 'liliana of the dark realms emblem': 0.47, 'siani, eye of the storm': 0.02, 'bloodsky berserker': 0.02, 'bird': 0.1, 'gideon of the trials emblem': 0.77, 'cloudpiercer': 0.01, 'access tunnel': 0.3, 'delver of secrets // insectile aberration': 1.58, 'the grand tour': 1.53, 'augury raven': 0.01, 'zimone, quandrix prodigy': 0.06, 'mila, crafty companion // lukka, wayward bonder': 2.15, 'mila, crafty companion': 1.24, 'combat calligrapher': 0.19, 'plague reaver': 0.09, "archaeomancer's map": 11.51, 'harness infinity': 0.48, 'seismic': 0.26, 'theoretical duplication': 0.49, 'snare tactician': 0.01, 'solve the equation': 2.47, 'spawning kraken': 4.99, 'gorilla tactics': 1.2, "sasaya, orochi ascendant // sasaya's essence": 3.5, 'witherbloom pledgemage': 0.02, "kuon, ogre ascendant // kuon's essence": 0.81, 'bird soldier': 0.23, 'personal decoy': 4.27, 'fracture': 0.48, 'trove tracker': 0.02, 'thing in the ice // awoken horror': 4.54, 'time sidewalk': 2.89, "poet's quill": 0.15, 'queen of ice // rage of 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cryptozoologist': 0.23, 'grist, the hunger tide': 5.07, "sythis, harvest's hand": 1.37, 'resurgent belief': 0.38, 'glimmer bairn': 0.01, 'glimpse of tomorrow': 0.21, 'unmarked grave': 3.14, 'landscaper colos': 0.01, 'young necromancer': 0.01, 'jade avenger': 0.05, 'terramorph': 0.01, 'discerning taste': 0.01, "thrasta, tempest's roar": 1.14, 'myr scrapling': 0.02, 'tragic fall': 0.01, "sojourner's companion": 0.12, 'lose focus': 0.01, 'vedalken infiltrator': 0.01, 'aeromoeba': 0.01, 'break ties': 0.01, "drizzt do'urden": 0.71, 'asmoranomardicadaistinaculdacar': 0.54, 'darkmoss bridge': 0.1, "storm god's oracle": 0.01, 'lightning spear': 0.01, 'prophetic titan': 0.01, 'break the ice': 0.04, 'bloodbraid marauder': 0.09, 'caprichrome': 0.01, 'profane tutor': 2.46, 'barbed spike': 0.01, 'tanglepool bridge': 0.1, 'constable of the realm': 0.01, 'slag strider': 0.03, 'scuttletide': 0.03, "yusri, fortune's flame": 0.09, 'prismatic ending': 4.23, 'harmonic prodigy': 1.24, 'cabal initiate': 0.02, 'late to dinner': 0.03, 'dakkon, shadow slayer': 1.49, 'mistvault bridge': 0.28, 'gouged zealot': 0.01, 'incubation // incongruity': 0.09, 'nykthos paragon': 0.28, 'persist': 2.03, 'arcbound whelp': 0.01, 'ragavan, nimble pilferer': 69.37, 'subtlety': 6.1, 'the underworld cookbook': 0.25, 'batterbone': 0.02, 'master of death': 0.31, 'ornithopter of paradise': 0.47, "chef's kiss": 0.2, 'rishadan dockhand': 0.14, 'glorious enforcer': 0.01, 'disciple of the sun': 0.01, 'steel dromedary': 0.01, 'vectis gloves': 0.01, 'crack open': 0.01, 'aeve, progenitor ooze': 0.14, 'drossforge bridge': 0.25, 'bottle golems': 0.01, 'blossoming calm': 0.11, 'arcbound javelineer': 0.03, 'chitterspitter': 0.47, 'deepwood denizen': 0.01, 'skophos reaver': 0.01, 'so shiny': 0.02, "urza's saga": 31.63, 'altar of the goyf': 0.01, 'thraben watcher': 0.07, 'zabaz, the glimmerwasp': 0.19, 'vile entomber': 0.16, 'moderation': 0.08, 'sinister starfish': 0.03, 'echoing return': 0.01, 'rise and shine': 0.2, 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conformity': 0.22, "neonate's rush": 0.01, 'kyler, sigardian emissary': 0.36, 'ominous roost': 0.04, 'beloved beggar': 0.02, 'generous soul': 0.02, 'morkrut behemoth': 0.02, 'foul play': 0.01, 'cathar commando': 0.27, 'startle': 0.01, 'curse of unbinding': 1.06, 'shadow kin': 0.5, 'sacred fire': 0.03, 'duelcraft trainer': 0.02, 'lambholt harrier': 0.01, 'empty the laboratory': 0.24, 'harvesttide infiltrator': 0.01, 'harvesttide assailant': 0.01, 'grizzly ghoul': 0.02, 'unblinking observer': 0.02, 'search party captain': 0.01, 'stalwart pathlighter': 0.36, 'voldaren ambusher': 0.01, "dryad's revival": 0.05, 'ritual of hope': 0.01, 'tainted adversary': 6.86, 'no way out': 0.02, 'skaab wrangler': 0.01, 'ravenous rotbelly': 0.32, 'covetous castaway': 0.02, 'ghostly castigator': 0.02, 'raze the effigy': 0.01, 'bloodtithe collector': 0.02, 'outland liberator': 0.36, 'frenzied trapbreaker': 0.36, 'candlegrove witch': 0.01, 'teferi, who slows the sunset': 4.24, 'kurbis, harvest celebrant': 0.29, 'rite of oblivion': 0.14, 'hobbling zombie': 0.03, 'ritual guardian': 0.01, 'cleaver skaab': 0.59, 'gavony silversmith': 0.01, 'flip the switch': 0.01, "olivia's midnight ambush": 0.01, 'purifying dragon': 0.01, "odric's outrider": 0.02, 'organ hoarder': 0.01, 'siege zombie': 0.03, "avacyn's memorial": 1.8, 'slaughter specialist': 0.47, 'silver bolt': 0.02, 'mysterious tome': 0.05, 'chilling chronicle': 0.05, 'heirloom mirror': 0.01, 'inherited fiend': 0.01, 'thraben exorcism': 0.01, 'mask of griselbrand': 0.49, 'eccentric farmer': 0.01, 'burn the accursed': 0.01, 'mounted dreadknight': 0.01, 'ambitious farmhand': 0.1, 'seasoned cathar': 0.1, 'visions of duplicity': 0.11, 'galedrifter': 0.01, 'waildrifter': 0.01, 'stolen vitality': 0.01, 'otherworldly gaze': 0.26, 'contortionist troupe': 0.01, 'bereaved survivor': 0.09, 'dauntless avenger': 0.09, 'defend the celestus': 0.05, 'chaplain of alms': 0.13, 'chapel shieldgeist': 0.13, 'tireless hauler': 0.01, 'dire-strain brawler': 0.01, 'baithook angler': 0.01, 'hook-haunt drifter': 0.01, 'dawnhart rejuvenator': 0.01, "hedgewitch's mask": 0.01, 'stromkirk bloodthief': 0.04, 'electric revelation': 0.01, 'deathbonnet sprout': 0.1, 'deathbonnet hulk': 0.1, 'curse of obsession': 0.3, 'flame channeler': 0.04, 'embodiment of flame': 0.04, 'defenestrate': 0.01, "ghouls' night out": 0.91, 'leinore, autumn sovereign': 0.34, 'blood pact': 0.04, 'curse of clinging webs': 0.31, 'celestial judgment': 0.16, 'seize the storm': 0.01, 'drown in dreams': 1.26, 'eaten alive': 0.09, 'gavony trapper': 0.01, 'arcane infusion': 0.01, 'tapping at the window': 0.02, 'revenge of the drowned': 0.01, 'shipwreck sifters': 0.01, 'florian, voldaren scion': 2.59, 'diregraf horde': 0.02, 'phantom carriage': 0.03, 'rise of the ants': 0.01, 'fangblade brigand': 0.05, 'fangblade eviscerator': 0.05, 'lynde, cheerful tormentor': 3.28, 'celebrate the harvest': 0.26, 'unnatural moonrise': 0.14, 'somberwald beastmaster': 0.39, 'dawnhart mentor': 0.01, 'soul-guide gryff': 0.01, 'heronblade elite': 0.82, 'novice occultist': 0.01, 'path to the festival': 0.01, 'festival crasher': 0.01, 'memory deluge': 7.11, 'hound tamer': 0.1, 'untamed pup': 0.1, 'wilhelt, the rotcleaver': 0.96, 'turn the earth': 0.05, 'candlelit cavalry': 0.01, 'visions of glory': 0.2, 'liesa, forgotten archangel': 1.63, 'shadowbeast sighting': 0.01, 'brood weaver': 0.02, 'borrowed time': 0.05, 'arrogant outlaw': 0.01, 'bat whisperer': 0.01, 'lier, disciple of the drowned': 9.29, 'loyal gryff': 0.01, 'moorland rescuer': 0.24, 'cathartic pyre': 0.24, 'obsessive astronomer': 0.01, 'vengeful strangler': 0.09, 'strangling grasp': 0.09, 'intrepid adversary': 8.32, 'fateful absence': 3.12, 'the meathook massacre': 38.4, 'vanquish the horde': 5.35, "tovolar's huntmaster": 1.55, 'briarbridge tracker': 0.17, 'malevolent hermit': 3.16, 'spectral adversary': 3.4, 'suspicious stowaway': 0.32, 'smoldering egg': 1.9, 'reckless stormseeker': 1.28, 'sungold sentinel': 0.33, 'bloodline culling': 0.14, 'graveyard trespasser': 0.26, 'falkenrath pit fighter': 0.76, 'curse of silence': 0.25, 'siphon insight': 0.66, "lim-dul's vault": 6.45, 'curse of surveillance': 0.15, 'slogurk, the overslime': 0.23, 'sludge monster': 0.45, 'augur of autumn': 5.72, 'katilda, dawnhart prime': 0.53, 'angelfire ignition': 0.26, 'vadrik, astral archmage': 0.22, 'voice of the blessed': 2.04, 'dreadlight monstrosity': 0.02, 'lantern flare': 0.1, 'cloaked cadet': 0.02, 'chief jim hopper': 18.12, 'end the festivities': 0.02, 'geralf, visionary stitcher': 0.89, 'timin, youthful geist': 0.67, 'kamber, the plunderer': 1.11, 'graveyard glutton': 0.26, 'henrika domnathi': 4.96, 'henrika, infernal seer': 4.96, 'wedding ring': 24.97, 'hollowhenge overlord': 3.63, 'wandering mind': 0.18, 'curse of hospitality': 0.33, "vampire's kiss": 0.03, 'pyre spawn': 0.01, 'dominating vampire': 0.24, 'angelic quartermaster': 0.01, 'cemetery illuminator': 4.22, 'retrieve': 0.06, 'jacob hauken, inspector': 1.65, "hauken's insight": 1.65, 'doom weaver': 0.69, 'anje, maid of dishonor': 0.66, "tovolar's packleader": 1.55, 'savior of ollenbock': 1.58, 'fell stinger': 0.23, 'crossway troublemakers': 0.74, 'magma pummeler': 0.01, 'hostile hostel': 1.35, 'creeping inn': 1.35, 'oakshade stalker': 0.03, 'moonlit ambusher': 0.03, 'dormant grove': 0.05, 'gnarled grovestrider': 0.05, 'traveling minister': 0.01, 'thirst for discovery': 0.19, 'cobbled lancer': 0.06, 'lacerate flesh': 0.01, 'jerren, corrupted bishop': 1.16, 'ormendahl, the corrupter': 1.16, 'volatile arsonist': 2.84, 'dire-strain anarchist': 2.84, 'blood petal celebrant': 0.01, "investigator's journal": 0.15, 'ethereal investigator': 0.68, 'rending flame': 0.01, 'consuming tide': 0.31, 'wedding announcement': 0.41, 'wedding festivity': 0.41, "alchemist's gambit": 0.43, 'piercing light': 0.01, 'dying to serve': 0.16, "edgar's awakening": 0.07, 'torens, fist of the angels': 0.74, 'dorothea, vengeful victim': 0.47, "dorothea's retribution": 0.47, 'gluttonous guest': 0.01, 'hallowed respite': 0.17, 'chill of the grave': 0.01, 'distracting geist': 0.02, 'clever distraction': 0.02, 'diver skaab': 0.01, 'hopeful initiate': 0.4, 'whispering wizard': 0.02, 'blood hypnotist': 0.04, 'wolf strike': 0.01, 'cemetery protector': 1.88, 'sanguine statuette': 0.01, 'rhoda, geist avenger': 0.67, 'sinister waltz': 0.68, 'winged portent': 0.16, 'drogskol infantry': 0.01, 'drogskol armaments': 0.01, "vampires' vengeance": 0.09, 'markov retribution': 0.01, 'selhoff entomber': 0.01, 'falkenrath celebrants': 0.01, 'strefan, maurer progenitor': 1.22, 'steelclad spirit': 0.01, 'boarded window': 0.02, 'vilespawn spider': 0.03, 'glass-cast heart': 0.72, 'nurturing presence': 0.01, 'apprentice sharpshooter': 0.01, 'belligerent guest': 0.02, 'bloodtithe harvester': 0.07, 'unholy officiant': 0.02, 'undead butler': 0.21, 'dennick, pious apprentice': 0.27, 'dennick, pious apparition': 0.27, 'geistlight snare': 0.11, 'chandra, dressed to kill': 10.1, 'stormcarved coast': 5.51, 'sigardian paladin': 0.05, 'moldgraf millipede': 0.01, 'katilda, dawnhart martyr': 0.81, "katilda's rising dawn": 0.81, 'honored heirloom': 0.04, 'frenzied devils': 0.01, 'mischievous catgeist': 0.1, 'catlike curiosity': 0.1, "predators' hour": 2.17, 'cultivator colossus': 21.38, 'twinblade geist': 0.09, 'twinblade invocation': 0.09, 'mike, the dungeon master': 18.99, 'massive might': 0.03, 'benevolent geist': 3.16, 'fear of death': 0.01, 'hookhand mariner': 0.01, 'riphook raider': 0.01, 'grolnok, the omnivore': 0.3, 'diregraf scavenger': 0.01, 'dire-strain rampage': 0.23, 'grisly ritual': 0.01, "sigarda's imprisonment": 0.01, 'archghoul of thraben': 0.23, 'mirrorhall mimic': 0.88, 'ghastly mimicry': 0.88, 'scion of opulence': 1.02, 'reckless impulse': 0.13, 'into the night': 0.05, 'blood servitor': 0.01, 'hungry ridgewolf': 0.01, 'sundown pass': 5.6, 'binding geist': 0.01, 'spectral binding': 0.01, 'disorder in the court': 1.08, 'screaming swarm': 0.03, 'inspired idea': 0.16, 'persistent specimen': 0.01, 'fearful villager': 0.01, 'fearsome werewolf': 0.01, 'welcoming vampire': 5.21, 'desperate farmer': 0.01, 'depraved harvester': 0.01, 'toxic scorpion': 0.02, "bride's gown": 0.02, 'soulcipher board': 0.01, 'cipherbound spirit': 0.01, 'spiked ripsaw': 0.03, 'lantern bearer': 0.01, "lanterns' lift": 0.01, 'odric, blood-cursed': 0.13, 'rot-tide gargantua': 0.04, 'flame-blessed bolt': 0.04, "olivia's attendants": 0.23, 'bleed dry': 0.02, 'drogskol reinforcements': 0.77, 'occult epiphany': 0.54, 'ill-tempered loner': 0.36, 'howlpack avenger': 0.36, "witch's web": 0.01, 'sporeback wolf': 0.01, 'storm of souls': 0.83, 'runo stromkirk': 0.31, 'krothuss, lord of the deep': 0.31, 'millicent, restless revenant': 0.89, 'priest of the blessed graf': 0.63, 'bloodvial purveyor': 0.55, 'avabruck caretaker': 15.94, 'hollowhenge huntmaster': 15.94, 'dollhouse of horrors': 0.61, 'ashmouth dragon': 1.9, 'patchwork crawler': 0.18, 'scattered thoughts': 0.03, 'wake to slaughter': 0.14, 'repository skaab': 0.01, 'innocent traveler': 0.05, 'malicious invader': 0.05, 'reclusive taxidermist': 0.09, 'willow geist': 0.39, 'ollenbock escort': 0.05, 'restless bloodseeker': 0.06, 'bloodsoaked reveler': 0.06, 'biolume egg': 0.01, 'biolume serpent': 0.01, 'wanderlight spirit': 0.02, 'creepy puppeteer': 0.09, 'bloodcrazed socialite': 0.01, 'wretched throng': 0.01, 'ascendant packleader': 1.02, "sigarda's summons": 0.23, 'consuming blob': 0.75, 'serpentine ambush': 0.01, 'fierce retribution': 0.02, 'faithbound judge': 2.62, "sinner's judgment": 2.62, 'glorious sunrise': 0.62, 'cemetery desecrator': 0.68, 'wedding security': 0.02, "alchemist's retrieval": 0.02, 'honeymoon hearse': 0.01, 'brine comber': 0.08, 'brinebound gift': 0.08, 'olivia, crimson bride': 11.82, 'undying malice': 0.03, 'graf reaver': 0.18, 'gryffwing cavalry': 0.03, 'shadowgrange archfiend': 1.66, 'old rutstein': 0.23, 'voltaic visionary': 0.02, 'volt-charged berserker': 0.02, 'gift of fangs': 0.01, 'ulvenwald oddity': 0.84, 'ulvenwald behemoth': 0.84, 'change of fortune': 0.69, 'radiant grace': 0.04, 'radiant restraints': 0.04, 'falkenrath forebear': 0.24, 'unhallowed phalanx': 0.02, 'sunstreak phoenix': 0.34, 'imperious mindbreaker': 0.57, 'runebound wolf': 0.07, 'edgar, charmed groom': 1.11, "edgar markov's coffin": 1.11, "nature's embrace": 0.02, 'mind flayer, the shadow': 19.75, 'ragged recluse': 0.01, 'odious witch': 0.01, "olivia's wrath": 1.03, 'heron-blessed geist': 0.01, 'eruth, tormented prophet': 0.21, 'resistance squad': 0.01, 'bloody betrayal': 0.01, 'concealing curtains': 0.19, 'revealing eye': 0.19, 'breathkeeper seraph': 1.35, 'crawling infestation': 0.02, 'wash away': 1.01, 'sudden salvation': 0.73, 'bloodsworn squire': 0.02, 'bloodsworn knight': 0.02, 'weaver of blossoms': 0.05, 'blossom-clad werewolf': 0.05, 'voldaren bloodcaster': 0.73, 'bloodbat summoner': 0.73, 'eleven, the mage': 18.99, 'supernatural rescue': 0.01, 'howling moon': 0.38, 'stensia uprising': 0.13, 'stormchaser drake': 0.08, 'child of the pack': 0.16, 'savage packmate': 0.16, 'estwald shieldbasher': 0.01, 'catapult fodder': 0.05, 'catapult captain': 0.05, 'dreadfeast demon': 0.13, 'dreamshackle geist': 0.2, 'spectral arcanist': 0.3, 'blood fountain': 0.16, 'wolfkin outcast': 0.1, 'wedding crasher': 0.1, 'demonic bargain': 0.19, 'laid to rest': 0.08, 'dig up': 0.8, 'umbris, fear manifest': 15.38, 'pointed discussion': 0.03, 'aim for the head': 0.01, 'nebelgast beguiler': 0.01, 'halana and alena, partners': 0.32, 'ballista watcher': 0.04, 'ballista wielder': 0.04, 'sheltering boughs': 0.01, "groom's finery": 0.02, 'vampire slayer': 0.02, "ghoulcaller's harvest": 0.2, 'fleeting spirit': 0.03, 'markov waltzer': 0.01, 'weary prisoner': 0.01, 'wrathful jailbreaker': 0.01, 'infestation expert': 0.05, 'infested werewolf': 0.05, 'thundering mightmare': 0.86, 'cruel witness': 0.02, 'hiveheart shaman': 0.11, 'arm the cathars': 0.01, 'toxrill, the corrosive': 16.17, 'skull skaab': 0.07, 'sanctify': 0.03, 'shattered sanctum': 6.89, 'haunting imitation': 0.31, 'imposing grandeur': 1.4, 'packsong pup': 0.18, 'howlpack piper': 1.7, 'wildsong howler': 1.7, 'voldaren epicure': 0.05, 'mirage phalanx': 1.29, 'circle of confinement': 0.01, 'markov purifier': 0.1, 'gutter skulker': 0.01, 'gutter shortcut': 0.01, 'lunar rejection': 0.01, 'necroduality': 19.73, 'path of peril': 0.3, 'overcharged amalgam': 1.38, 'hullbreaker horror': 7.71, 'headless rider': 1.41, 'lightning wolf': 0.01, 'militia rallier': 0.01, 'by invitation only': 1.08, 'flourishing hunter': 0.02, 'ancient lumberknot': 0.07, 'foreboding statue': 0.08, 'forsaken thresher': 0.08, 'courier bat': 0.01, 'parasitic grasp': 0.03, 'kessig wolfrider': 0.12, 'wedding invitation': 0.05, 'midnight arsonist': 0.25, 'seafaring werewolf': 0.32, 'ceremonial knife': 0.03, 'bramble wurm': 0.02, 'dreamroot cascade': 5.11, 'sawblade slinger': 0.01, 'arterial alchemy': 0.59, "cartographer's survey": 0.1, 'cradle of safety': 0.01, 'ancestral anger': 0.03, 'kaya, geist hunter': 3.68, 'mindleech ghoul': 0.01, 'skywarp skaab': 0.01, 'parish-blade trainee': 0.02, 'gryff rider': 0.03, 'markov enforcer': 0.37, 'hallowed haunting': 4.53, 'grafted identity': 0.14, 'syphon essence': 0.01, 'skulking killer': 0.03, 'haunted library': 0.98, 'dawnhart disciple': 0.01, 'alluring suitor': 0.07, 'deadly dancer': 0.07, 'storm-charged slasher': 1.28, 'kessig flamebreather': 0.05, 'breath of the sleepless': 0.64, 'dawnhart geist': 0.03, 'kindly ancestor': 0.01, "ancestor's embrace": 0.01, 'stitched assistant': 0.01, 'dread fugue': 0.08, 'lantern of the lost': 0.41, 'heron of hope': 0.02, 'laurine, the diversion': 0.3, 'lambholt raconteur': 0.06, 'lambholt ravager': 0.06, 'manaform hellkite': 7.74, 'deathcap glade': 4.89, 'ludevic, necrogenius': 0.17, "olag, ludevic's hubris": 0.17, 'hamlet vanguard': 0.32, 'cemetery gatekeeper': 7.05, 'cemetery prowler': 8.16, 'spore crawler': 0.01, 'voldaren estate': 0.79, 'daybreak combatants': 0.01, 'sorin the mirthless': 8.31, 'panicked bystander': 0.03, 'cackling culprit': 0.03, 'witness the future': 0.02, 'rural recruit': 0.01} | 612,170 | 612,170 | 0.669303 | 103,877 | 612,170 | 3.9443 | 0.141485 | 0.009914 | 0.000537 | 0.000293 | 0.007688 | 0.00081 | 0.000146 | 0 | 0 | 0 | 0 | 0.132526 | 0.127313 | 612,170 | 1 | 612,170 | 612,170 | 0.634407 | 0 | 0 | 0 | 0 | 1 | 0.609567 | 0.000124 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | false | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 |
fc745cd6ee47b3eed9cd79cdd08e5d095fd7375d | 22,145 | py | Python | src/pyexample/liquid/receive-send.py | alessandro-saglimbeni/libwally-core | ae84c26519b6c513332c19bc183dc0b584f4bf33 | [
"MIT"
] | 1 | 2021-06-06T18:11:23.000Z | 2021-06-06T18:11:23.000Z | src/pyexample/liquid/receive-send.py | alessandro-saglimbeni/libwally-core | ae84c26519b6c513332c19bc183dc0b584f4bf33 | [
"MIT"
] | 1 | 2022-03-22T12:17:46.000Z | 2022-03-22T12:17:46.000Z | src/pyexample/liquid/receive-send.py | alessandro-saglimbeni/libwally-core | ae84c26519b6c513332c19bc183dc0b584f4bf33 | [
"MIT"
] | 2 | 2020-08-24T07:39:11.000Z | 2020-09-30T22:36:40.000Z | import wallycore as wally
import os
address_prefix = wally.WALLY_CA_PREFIX_LIQUID_REGTEST
network = wally.WALLY_NETWORK_LIQUID_REGTEST
wif_prefix = wally.WALLY_ADDRESS_VERSION_WIF_TESTNET
mnemonic = "supreme layer police brand month october rather rack proud strike receive joy limit random hill inside brand depend giant success quarter brain butter mechanic"
# start-create_p2pkh_address
_, seed = wally.bip39_mnemonic_to_seed512(mnemonic, '')
wallet_master_key = wally.bip32_key_from_seed(
seed,
wally.BIP32_VER_TEST_PRIVATE, 0)
wallet_derived_key = wally.bip32_key_from_parent(
wallet_master_key,
1,
wally.BIP32_FLAG_KEY_PRIVATE)
address = wally.bip32_key_to_address(
wallet_derived_key,
wally.WALLY_ADDRESS_TYPE_P2PKH,
wally.WALLY_ADDRESS_VERSION_P2PKH_LIQUID_REGTEST)
# end-create_p2pkh_address
# start-derive_blinding_key
master_blinding_key = wally.asset_blinding_key_from_seed(seed)
script_pubkey = wally.address_to_scriptpubkey(
address,
wally.WALLY_NETWORK_LIQUID_REGTEST)
private_blinding_key = wally.asset_blinding_key_to_ec_private_key(
master_blinding_key,
script_pubkey)
public_blinding_key = wally.ec_public_key_from_private_key(
private_blinding_key)
# end-derive_blinding_key
# start-create_conf_address
confidential_address = wally.confidential_addr_from_addr(
address,
wally.WALLY_CA_PREFIX_LIQUID_REGTEST,
public_blinding_key)
# end-create_conf_address
tx_hex = """\
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ae592043c1b640b15f5b6a9e3451ecabdb13c8f8076d6563630edfc4ccf46b2a72dbd16d8b62e221a7a0f7a5958fed6405bb6691b1443807a663bc4eba2d4cb44a97abfc446b28c62efc7f0b1dc191545b8ebdfa1bfee2ba596c1cee7150a96cd18882a23758fecafad405e033eb3a2093bfe6d62fec4ca2560a0000\
"""
# start-create_tx
tx = wally.tx_from_hex(
tx_hex,
wally.WALLY_TX_FLAG_USE_ELEMENTS | wally.WALLY_TX_FLAG_USE_WITNESS)
# end-create_tx
# start-unblind
asset_generators_in = b''
asset_ids_in = b''
values_in = []
abfs_in = b''
vbfs_in = b''
script_pubkeys_in = []
vouts_in = []
num_outputs = wally.tx_get_num_outputs(tx)
for vout in range(num_outputs):
script_pubkey_out = wally.tx_get_output_script(tx, vout)
if script_pubkey_out != script_pubkey:
continue
vouts_in.append(vout)
sender_ephemeral_pubkey = wally.tx_get_output_nonce(tx, vout)
rangeproof = wally.tx_get_output_rangeproof(tx, vout)
script_pubkey = wally.tx_get_output_script(tx, vout)
asset_id = wally.tx_get_output_asset(tx, vout)
value_commitment = wally.tx_get_output_value(tx, vout)
script_pubkeys_in.append(script_pubkey)
value, asset_id, abf, vbf = wally.asset_unblind(
sender_ephemeral_pubkey,
private_blinding_key,
rangeproof,
value_commitment,
script_pubkey,
asset_id)
asset_generator = wally.asset_generator_from_bytes(asset_id, abf)
asset_generators_in += asset_generator
asset_ids_in += asset_id
values_in.append(value)
abfs_in += abf
vbfs_in += vbf
# end-unblind
destination_address = "AzpwMmJacz8ngdJszGjNeNBeQ2iu5qNYWpZfkqBoZU6acK6tSbEdpt9PsWdRtcb2pxAQcdTySE4KmhJk"
fee = 1000 # arbitrary
# start-define_outputs
total_in = sum(values_in)
output_values = [total_in - fee,]
confidential_output_addresses = [destination_address,]
output_asset_ids = asset_ids_in[:wally.ASSET_TAG_LEN]
# end-define_outputs
# start-blinding_factors
num_inputs = len(values_in)
num_outputs = 1
abfs_out = os.urandom(32 * num_outputs)
vbfs_out = os.urandom(32 * (num_outputs - 1))
vbfs_out += wally.asset_final_vbf(
values_in + output_values,
num_inputs,
abfs_in + abfs_out,
vbfs_in + vbfs_out)
# end-blinding_factors
# start-decompose_address
blinding_pubkeys = [
wally.confidential_addr_to_ec_public_key(
confidential_address, address_prefix)
for confidential_address in confidential_output_addresses]
non_confidential_addresses = [
wally.confidential_addr_to_addr(
confidential_address, address_prefix)
for confidential_address in confidential_output_addresses]
script_pubkeys = [
wally.address_to_scriptpubkey(
non_confidential_address, network)
for non_confidential_address in non_confidential_addresses]
# end-decompose_address
# start-create_output_tx
version = 2
locktime = 0
output_tx = wally.tx_init(version, locktime, 0, 0)
# end-create_output_tx
# start-create_outputs
for value, blinding_pubkey, script_pubkey in zip(
output_values, blinding_pubkeys, script_pubkeys):
abf, abfs_out = abfs_out[:32], abfs_out[32:]
vbf, vbfs_out = vbfs_out[:32], vbfs_out[32:]
asset_id, output_asset_ids = output_asset_ids[:32], output_asset_ids[32:]
generator = wally.asset_generator_from_bytes(asset_id, abf)
value_commitment = wally.asset_value_commitment(
value, vbf, generator)
ephemeral_privkey = os.urandom(32)
ephemeral_pubkey = wally.ec_public_key_from_private_key(
ephemeral_privkey)
rangeproof = wally.asset_rangeproof(
value,
blinding_pubkey,
ephemeral_privkey,
asset_id,
abf,
vbf,
value_commitment,
script_pubkey,
generator,
1, # min_value
0, # exponent
36 # bits
)
surjectionproof = wally.asset_surjectionproof(
asset_id,
abf,
generator,
os.urandom(32),
asset_ids_in,
abfs_in,
asset_generators_in
)
wally.tx_add_elements_raw_output(
output_tx,
script_pubkey,
generator,
value_commitment,
ephemeral_pubkey,
surjectionproof,
rangeproof,
0
)
# end-create_outputs
# start-add_fee
BITCOIN = "5ac9f65c0efcc4775e0baec4ec03abdde22473cd3cf33c0419ca290e0751b225"
BITCOIN = wally.hex_to_bytes(BITCOIN)[::-1]
wally.tx_add_elements_raw_output(
output_tx,
None,
bytearray([0x01]) + BITCOIN,
wally.tx_confidential_value_from_satoshi(fee),
None, # nonce
None, # surjection proof
None, # range proof
0)
# end-add_fee
# start-sign
vout = 0
prev_txid = wally.sha256d(wally.tx_to_bytes(tx, 0))
for vin, script_pubkey in zip(vouts_in, script_pubkeys_in):
wally.tx_add_elements_raw_input(
output_tx,
prev_txid,
vin,
0xffffffff,
None, # scriptSig
None, # witness
None, # nonce
None, # entropy
None, # issuance amount
None, # inflation keys
None, # issuance amount rangeproof
None, # inflation keys rangeproof
None, # pegin witness
vout)
privkey = wally.bip32_key_get_priv_key(wallet_derived_key)
pubkey = wally.ec_public_key_from_private_key(privkey)
sighash = wally.tx_get_btc_signature_hash(
output_tx, vout, script_pubkey, 0, wally.WALLY_SIGHASH_ALL, 0)
signature = wally.ec_sig_from_bytes(
privkey, sighash, wally.EC_FLAG_ECDSA)
scriptsig = wally.scriptsig_p2pkh_from_sig(
pubkey, signature, wally.WALLY_SIGHASH_ALL)
wally.tx_set_input_script(output_tx, vout, scriptsig)
# end-sign
# start-to_hex
tx_hex = wally.tx_to_hex(output_tx, wally.WALLY_TX_FLAG_USE_WITNESS)
# end-to_hex
| 89.65587 | 15,249 | 0.917363 | 910 | 22,145 | 21.901099 | 0.186813 | 0.007025 | 0.004014 | 0.004817 | 0.044757 | 0.037381 | 0.027396 | 0.020171 | 0.013046 | 0.008329 | 0 | 0.464839 | 0.059246 | 22,145 | 246 | 15,250 | 90.020325 | 0.491816 | 0.031158 | 0 | 0.225275 | 0 | 0.005495 | 0.726462 | 0.718896 | 0 | 1 | 0.000654 | 0 | 0 | 1 | 0 | false | 0 | 0.010989 | 0 | 0.010989 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
5d8360312fd41e0285a25016eebeef6908ca5298 | 33 | py | Python | test/login.py | amazingSLM/Git | 9d1da97310666674b5d1b0efc52bc1eb7f537090 | [
"MIT"
] | null | null | null | test/login.py | amazingSLM/Git | 9d1da97310666674b5d1b0efc52bc1eb7f537090 | [
"MIT"
] | null | null | null | test/login.py | amazingSLM/Git | 9d1da97310666674b5d1b0efc52bc1eb7f537090 | [
"MIT"
] | null | null | null | a = 1
d = 2
b = 2
e = 3
f = 4
| 3.666667 | 5 | 0.30303 | 10 | 33 | 1 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.333333 | 0.545455 | 33 | 8 | 6 | 4.125 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
5db11d5feb50874aacbb83b446900880191d7ace | 3,257 | py | Python | tests/test_datasets/test_human_image_dataset.py | mingyuan-zhang/mmhuman3d | 0cb3236af31f968115c4316ee15686269d0bfe6c | [
"Apache-2.0"
] | null | null | null | tests/test_datasets/test_human_image_dataset.py | mingyuan-zhang/mmhuman3d | 0cb3236af31f968115c4316ee15686269d0bfe6c | [
"Apache-2.0"
] | null | null | null | tests/test_datasets/test_human_image_dataset.py | mingyuan-zhang/mmhuman3d | 0cb3236af31f968115c4316ee15686269d0bfe6c | [
"Apache-2.0"
] | null | null | null | import numpy as np
from mmhuman3d.data.datasets import HumanImageDataset
def test_human_image_dataset():
train_dataset = HumanImageDataset(
data_prefix='tests/data',
pipeline=[],
dataset_name='h36m',
ann_file='sample_3dpw_test.npz')
data_keys = [
'img_prefix', 'image_path', 'dataset_name', 'sample_idx', 'bbox_xywh',
'center', 'scale', 'keypoints2d', 'keypoints3d', 'has_smpl',
'smpl_body_pose', 'smpl_global_orient', 'smpl_betas', 'smpl_transl'
]
for i, data in enumerate(train_dataset):
for key in data_keys:
assert key in data
num_data = 1
test_dataset = HumanImageDataset(
data_prefix='tests/data',
pipeline=[],
dataset_name='pw3d',
body_model=dict(
type='SMPL',
keypoint_src='smpl_45',
keypoint_dst='h36m',
model_path='data/body_models/smpl'),
ann_file='sample_3dpw_test.npz')
test_dataset.num_data = 1
outputs = [{
'keypoints_3d': np.random.rand(num_data, 17, 3),
'image_idx': np.arange(num_data)
}]
res = test_dataset.evaluate(outputs, res_folder='tests/data')
assert 'MPJPE' in res
assert 'MPJPE-PA' in res
assert res['MPJPE'] > 0
assert res['MPJPE-PA'] > 0
test_dataset = HumanImageDataset(
data_prefix='tests/data',
pipeline=[],
dataset_name='pw3d',
body_model=dict(
type='SMPL',
keypoint_src='smpl_45',
keypoint_dst='smpl_24',
model_path='data/body_models/smpl'),
ann_file='sample_3dpw_test.npz')
test_dataset.num_data = 1
outputs = [{
'keypoints_3d': np.random.rand(num_data, 24, 3),
'image_idx': np.arange(num_data)
}]
res = test_dataset.evaluate(outputs, res_folder='tests/data')
assert 'MPJPE' in res
assert 'MPJPE-PA' in res
assert res['MPJPE'] > 0
assert res['MPJPE-PA'] > 0
test_dataset = HumanImageDataset(
data_prefix='tests/data',
pipeline=[],
dataset_name='pw3d',
body_model=dict(
type='SMPL',
keypoint_src='smpl_45',
keypoint_dst='smpl_49',
model_path='data/body_models/smpl'),
ann_file='sample_3dpw_test.npz')
test_dataset.num_data = 1
outputs = [{
'keypoints_3d': np.random.rand(num_data, 49, 3),
'image_idx': np.arange(num_data)
}]
res = test_dataset.evaluate(outputs, res_folder='tests/data')
assert 'MPJPE' in res
assert 'MPJPE-PA' in res
assert res['MPJPE'] > 0
assert res['MPJPE-PA'] > 0
def test_human_image_dataset_smc():
# test loading smc
train_dataset = HumanImageDataset(
data_prefix='tests/data',
pipeline=[],
dataset_name='humman',
ann_file='sample_humman_test_iphone_ds10.npz')
data_keys = [
'img_prefix', 'image_path', 'image_id', 'dataset_name', 'sample_idx',
'bbox_xywh', 'center', 'scale', 'keypoints2d', 'keypoints3d',
'has_smpl', 'smpl_body_pose', 'smpl_global_orient', 'smpl_betas',
'smpl_transl'
]
for i, data in enumerate(train_dataset):
for key in data_keys:
assert key in data
| 31.621359 | 78 | 0.607614 | 404 | 3,257 | 4.613861 | 0.20297 | 0.037554 | 0.035408 | 0.091202 | 0.918455 | 0.892704 | 0.881438 | 0.850322 | 0.850322 | 0.850322 | 0 | 0.020859 | 0.264047 | 3,257 | 102 | 79 | 31.931373 | 0.756779 | 0.004913 | 0 | 0.75 | 0 | 0 | 0.237419 | 0.029948 | 0 | 0 | 0 | 0 | 0.152174 | 1 | 0.021739 | false | 0 | 0.021739 | 0 | 0.043478 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
5dc26b2b72e61f007a2d08fbcf39627fa8f29508 | 11,455 | py | Python | scripts/main_wmf.py | RACT-CF/RaCT | ced06c9e3398184c82aa42d5eb0cd5679c905375 | [
"Apache-2.0"
] | 36 | 2019-06-12T16:35:24.000Z | 2022-02-18T02:17:03.000Z | scripts/main_wmf.py | RACT-CF/RaCT | ced06c9e3398184c82aa42d5eb0cd5679c905375 | [
"Apache-2.0"
] | 1 | 2019-08-07T06:49:33.000Z | 2020-06-20T19:04:50.000Z | scripts/main_wmf.py | RACT-CF/RaCT | ced06c9e3398184c82aa42d5eb0cd5679c905375 | [
"Apache-2.0"
] | 6 | 2019-11-19T05:33:59.000Z | 2021-05-05T15:44:20.000Z | import sys
import os
UTILS_DIR = os.path.join(os.path.abspath(os.path.dirname(__file__)), '..', 'utils')
sys.path.insert(1, UTILS_DIR)
from training import train, test
if __name__ == '__main__':
"""
This assumes a pretrained actor at the actor-path.
"""
BREAK_EARLY = False
BATCH_SIZE = 500
for data_subdir in ['ml-20m', 'netflix-prize', 'msd']:
actor_path = "WMF_ACTOR_TRAIN_{}".format(data_subdir)
train(
model_class='wmf',
data_subdir=data_subdir,
n_epochs_pred_only=100,
n_epochs_ac_only=0,
n_epochs_pred_and_ac=0,
max_kl=0.2,
ac_reg_loss_scaler=0.0,
actor_reg_loss_scaler=0.0001,
evaluation_metric="NDCG",
logging_frequency=50,
batch_size=BATCH_SIZE,
break_early=BREAK_EARLY,
verbose=False,
positive_weights=5.0,
version_tag="FULL_RUN_ON_OTHER_DATASETS",
path_to_save_actor=actor_path,
log_critic_training_error=False,
)
print("Now, hopefully on to testing...")
test(
model_class='wmf',
data_subdir=data_subdir,
n_epochs_pred_only=100,
n_epochs_ac_only=0,
n_epochs_pred_and_ac=0,
max_kl=0.2,
ac_reg_loss_scaler=0.0,
actor_reg_loss_scaler=0.0001,
evaluation_metric="NDCG",
batch_size=BATCH_SIZE,
break_early=BREAK_EARLY,
verbose=False,
positive_weights=5.0,
version_tag="FULL_RUN_ON_OTHER_DATASETS",
)
print("On to round 2! Now we'll do the critic.")
train(
model_class='wmf',
data_subdir=data_subdir,
n_epochs_pred_only=0,
n_epochs_ac_only=50,
n_epochs_pred_and_ac=50,
max_kl=0.2,
ac_reg_loss_scaler=0.0,
actor_reg_loss_scaler=0.0001,
evaluation_metric="NDCG",
logging_frequency=50,
batch_size=BATCH_SIZE,
break_early=BREAK_EARLY,
verbose=False,
positive_weights=5.0,
version_tag="FULL_RUN_ON_OTHER_DATASETS",
restore_trained_actor_path=actor_path,
)
print("Now, hopefully on to testing...")
test(
model_class='wmf',
data_subdir=data_subdir,
n_epochs_pred_only=0,
n_epochs_ac_only=50,
n_epochs_pred_and_ac=50,
max_kl=0.2,
ac_reg_loss_scaler=0.0,
actor_reg_loss_scaler=0.0001,
evaluation_metric="NDCG",
batch_size=BATCH_SIZE,
break_early=BREAK_EARLY,
verbose=False,
positive_weights=5.0,
version_tag="FULL_RUN_ON_OTHER_DATASETS",
restore_trained_actor_path=actor_path,
)
print("Bye bye")
exit()
# train(
# model_class="wmf",
# # model_class='multi_vae',
# # model_class='warp_encoder',
# n_epochs_pred_only=200,
# n_epochs_ac_only=0,
# n_epochs_pred_and_ac=0,
# epochs_to_anneal_over=100,
# # min_kl=0.0001,
# max_kl=0.0,
# ac_reg_loss_scaler=0.0,
# actor_reg_loss_scaler=0.0001,
# positive_weights=5,
# # evaluation_metric='AP',
# evaluation_metric="NDCG",
# # logging_frequency=25,
# # logging_frequency=50,
# logging_frequency=50,
# batch_size=500,
# # batch_size=25,
# break_early=False,
# verbose=False,
# # path_to_save_actor="best_ndcg_trained_150_epochs",
# # path_to_save_last_actor="last_actor_after_150_trained_epochs",
# version_tag="WMF_VANILLA",
# path_to_save_actor="BEST_VANILLA_WMF_MODEL",
# # restore_trained_actor_path="last_actor_after_150_trained_epochs"
# )
# print("Now, hopefully on to testing...")
# test(
# model_class="wmf",
# # model_class='multi_vae',
# # model_class='warp_encoder',
# n_epochs_pred_only=200,
# n_epochs_ac_only=0,
# n_epochs_pred_and_ac=0,
# epochs_to_anneal_over=100,
# # min_kl=0.0001,
# max_kl=0.0,
# ac_reg_loss_scaler=0.0,
# actor_reg_loss_scaler=0.0001,
# positive_weights=5,
# # evaluation_metric='AP',
# evaluation_metric="NDCG",
# # logging_frequency=25,
# # logging_frequency=50,
# # logging_frequency=50,
# batch_size=500,
# # batch_size=25,
# break_early=False,
# verbose=False,
# # path_to_save_actor="best_ndcg_trained_150_epochs",
# # path_to_save_last_actor="last_actor_after_150_trained_epochs",
# version_tag="WMF_VANILLA",
# # path_to_save_actor="BEST_VANILLA_WMF_MODEL",
# # restore_trained_actor_path="last_actor_after_150_trained_epochs"
# )
# print("I hope it gets here successfully.")
# print("NOW ON TO DOING IT WITH THE CRITIC")
# train(
# model_class="wmf",
# # model_class='multi_vae',
# # model_class='warp_encoder',
# n_epochs_pred_only=0,
# n_epochs_ac_only=50,
# n_epochs_pred_and_ac=100,
# epochs_to_anneal_over=100,
# # min_kl=0.0001,
# max_kl=0.0,
# ac_reg_loss_scaler=0.0,
# actor_reg_loss_scaler=0.0001,
# positive_weights=5,
# # evaluation_metric='AP',
# evaluation_metric="NDCG",
# # logging_frequency=25,
# # logging_frequency=50,
# logging_frequency=50,
# batch_size=500,
# # batch_size=25,
# break_early=False,
# verbose=False,
# # path_to_save_actor="best_ndcg_trained_150_epochs",
# # path_to_save_last_actor="last_actor_after_150_trained_epochs",
# version_tag="WMF_WITH_CRITIC",
# # path_to_save_actor="BEST_VANILLA_WMF_MODEL",
# restore_trained_actor_path="BEST_VANILLA_WMF_MODEL"
# )
# print("Now, hopefully on to testing...")
# test(
# model_class="wmf",
# # model_class='multi_vae',
# # model_class='warp_encoder',
# n_epochs_pred_only=0,
# n_epochs_ac_only=50,
# n_epochs_pred_and_ac=100,
# epochs_to_anneal_over=100,
# # min_kl=0.0001,
# max_kl=0.0,
# ac_reg_loss_scaler=0.0,
# actor_reg_loss_scaler=0.0001,
# positive_weights=5,
# # evaluation_metric='AP',
# evaluation_metric="NDCG",
# # logging_frequency=25,
# # logging_frequency=50,
# # logging_frequency=50,
# batch_size=500,
# # batch_size=25,
# break_early=False,
# verbose=False,
# # path_to_save_actor="best_ndcg_trained_150_epochs",
# # path_to_save_last_actor="last_actor_after_150_trained_epochs",
# version_tag="WMF_WITH_CRITIC",
# # path_to_save_actor="BEST_VANILLA_WMF_MODEL",
# restore_trained_actor_path="BEST_VANILLA_WMF_MODEL"
# )
# print("I hope it gets here successfully.")
# for positive_weights in [2.0, 5.0, 10.0, 30.0, 50.0, 100.0]:
# train(
# model_class="wmf",
# # model_class='multi_vae',
# # model_class='warp_encoder',
# n_epochs_pred_only=50,
# n_epochs_ac_only=0,
# n_epochs_pred_and_ac=0,
# epochs_to_anneal_over=50,
# max_kl=0.2,
# ac_reg_loss_scaler=0.0005,
# actor_reg_loss_scaler=0.00001,
# positive_weights=positive_weights,
# # evaluation_metric='AP',
# evaluation_metric="NDCG",
# # logging_frequency=25,
# # logging_frequency=50,
# logging_frequency=50,
# batch_size=500,
# # batch_size=25,
# break_early=False,
# verbose=False,
# # path_to_save_actor="best_ndcg_trained_150_epochs",
# # path_to_save_last_actor="last_actor_after_150_trained_epochs",
# version_tag="making_one_trained_on_each_eval_metric",
# # path_to_save_actor="test_actor_save",
# # restore_trained_actor_path="last_actor_after_150_trained_epochs"
# )
# exit("Exiting gracefully!")
# # train(
# # model_class='multi_vae',
# # # model_class='warp_encoder',
# # n_epochs_pred_only=0,
# # n_epochs_ac_only=50,
# # n_epochs_pred_and_ac=100,
# # epochs_to_anneal_over=50,
# # max_kl=0.2,
# # ac_reg_loss_scaler=0.0005,
# # # evaluation_metric='AP',
# # evaluation_metric="NDCG",
# # # logging_frequency=25,
# # # logging_frequency=50,
# # logging_frequency=50,
# # batch_size=500,
# # # batch_size=25,
# # break_early=False,
# # verbose=False,
# # # path_to_save_actor="best_ndcg_trained_150_epochs",
# # # path_to_save_last_actor="last_actor_after_150_trained_epochs",
# # version_tag="making_one_trained_on_each_eval_metric",
# # # path_to_save_actor="test_actor_save",
# # restore_trained_actor_path="last_actor_after_150_trained_epochs"
# # )
# print("Just for good measure, I'm going to run the test function too.")
# test(
# model_class='multi_vae',
# # model_class='warp_encoder',
# n_epochs_pred_only=0,
# n_epochs_ac_only=50,
# n_epochs_pred_and_ac=100,
# epochs_to_anneal_over=50,
# max_kl=0.2,
# ac_reg_loss_scaler=0.0005,
# # evaluation_metric='AP',
# evaluation_metric="NDCG",
# # logging_frequency=25,
# # logging_frequency=50,
# # logging_frequency=50,
# batch_size=500,
# # batch_size=25,
# break_early=False,
# verbose=False,
# # path_to_save_actor="best_ndcg_trained_150_epochs",
# # path_to_save_last_actor="last_actor_after_150_trained_epochs",
# version_tag="making_one_trained_on_each_eval_metric",
# # path_to_save_actor="test_actor_save",
# restore_trained_actor_path="last_actor_after_150_trained_epochs"
# )
# exit("Bye bye now! I doubt it will make it here, but a man can dream.")
# for ac_reg_loss_scaler in [0.0, 1e-3, 1e-2, 1e-1]:
# train(
# model_class='multi_vae',
# # model_class='warp_encoder',
# n_epochs_pred_only=0,
# n_epochs_ac_only=50,
# n_epochs_pred_and_ac=50,
# epochs_to_anneal_over=50,
# max_kl=0.2,
# # evaluation_metric='AP',
# evaluation_metric="NDCG",
# # logging_frequency=25,
# logging_frequency=50,
# batch_size=500,
# # batch_size=25,
# break_early=False,
# verbose=False,
# ac_reg_loss_scaler=ac_reg_loss_scaler,
# version_tag="hyperparameter_ac_reg",
# # path_to_save_actor="best_ndcg_trained_100_epochs",
# # path_to_save_last_actor="last_actor_after_100_trained_epochs",
# # path_to_save_actor="test_actor_save",
# restore_trained_actor_path="best_ndcg_trained_100_epochs",
# )
| 33.592375 | 83 | 0.586556 | 1,422 | 11,455 | 4.235584 | 0.101266 | 0.04184 | 0.041508 | 0.046488 | 0.888262 | 0.880624 | 0.877636 | 0.863689 | 0.863689 | 0.852731 | 0 | 0.050805 | 0.305805 | 11,455 | 340 | 84 | 33.691176 | 0.706615 | 0.613706 | 0 | 0.776471 | 0 | 0 | 0.073092 | 0.025768 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.035294 | 0 | 0.035294 | 0.047059 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f8f3fce0b13b395f03924a61ea9553f638e33d9e | 66 | py | Python | tests/testfunc.py | jmriego/queick | 24dcdb2a62ac1ebe8e10b3997aea909b674e704c | [
"MIT"
] | 23 | 2020-11-08T03:41:14.000Z | 2022-03-05T15:41:28.000Z | tests/testfunc.py | jmriego/queick | 24dcdb2a62ac1ebe8e10b3997aea909b674e704c | [
"MIT"
] | 1 | 2021-07-22T21:58:32.000Z | 2021-08-10T10:42:13.000Z | tests/testfunc.py | jmriego/queick | 24dcdb2a62ac1ebe8e10b3997aea909b674e704c | [
"MIT"
] | 2 | 2021-04-28T11:53:05.000Z | 2021-12-07T21:37:10.000Z | def func(arg):
pass
def func_return_arg(arg):
return arg
| 11 | 25 | 0.666667 | 11 | 66 | 3.818182 | 0.454545 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.242424 | 66 | 5 | 26 | 13.2 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0.25 | 0 | 0.25 | 0.75 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 7 |
5d638f615d20a3cd732102aa419e83f0f29fafbe | 481 | py | Python | src/radical/entk/utils/__init__.py | radical-cybertools/radical.entk | 9b912c8f5f7aa61083d07662d209a888dd08f77a | [
"MIT"
] | 15 | 2018-02-09T10:10:34.000Z | 2021-11-16T07:52:45.000Z | src/radical/entk/utils/__init__.py | radical-cybertools/radical.entk | 9b912c8f5f7aa61083d07662d209a888dd08f77a | [
"MIT"
] | 418 | 2017-11-21T18:25:19.000Z | 2022-03-31T23:26:35.000Z | src/radical/entk/utils/__init__.py | radical-cybertools/radical.entk | 9b912c8f5f7aa61083d07662d209a888dd08f77a | [
"MIT"
] | 11 | 2018-12-29T07:18:24.000Z | 2021-02-10T19:43:13.000Z |
# ------------------------------------------------------------------------------
#
from .prof_utils import get_hostmap
from .prof_utils import get_hostmap_deprecated
from .prof_utils import get_session_profile
from .prof_utils import write_session_description
from .prof_utils import get_session_description
from .prof_utils import write_workflows
# ------------------------------------------------------------------------------
| 34.357143 | 80 | 0.488565 | 40 | 481 | 5.475 | 0.3 | 0.219178 | 0.356164 | 0.520548 | 0.881279 | 0.748858 | 0 | 0 | 0 | 0 | 0 | 0 | 0.168399 | 481 | 13 | 81 | 37 | 0.5475 | 0.326403 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
5d6badb27f8ee8d086769a74cae72a87ac6f22ad | 6,407 | py | Python | loldib/getratings/models/NA/na_yasuo/na_yasuo_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_yasuo/na_yasuo_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_yasuo/na_yasuo_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | from getratings.models.ratings import Ratings
class NA_Yasuo_Mid_Aatrox(Ratings):
pass
class NA_Yasuo_Mid_Ahri(Ratings):
pass
class NA_Yasuo_Mid_Akali(Ratings):
pass
class NA_Yasuo_Mid_Alistar(Ratings):
pass
class NA_Yasuo_Mid_Amumu(Ratings):
pass
class NA_Yasuo_Mid_Anivia(Ratings):
pass
class NA_Yasuo_Mid_Annie(Ratings):
pass
class NA_Yasuo_Mid_Ashe(Ratings):
pass
class NA_Yasuo_Mid_AurelionSol(Ratings):
pass
class NA_Yasuo_Mid_Azir(Ratings):
pass
class NA_Yasuo_Mid_Bard(Ratings):
pass
class NA_Yasuo_Mid_Blitzcrank(Ratings):
pass
class NA_Yasuo_Mid_Brand(Ratings):
pass
class NA_Yasuo_Mid_Braum(Ratings):
pass
class NA_Yasuo_Mid_Caitlyn(Ratings):
pass
class NA_Yasuo_Mid_Camille(Ratings):
pass
class NA_Yasuo_Mid_Cassiopeia(Ratings):
pass
class NA_Yasuo_Mid_Chogath(Ratings):
pass
class NA_Yasuo_Mid_Corki(Ratings):
pass
class NA_Yasuo_Mid_Darius(Ratings):
pass
class NA_Yasuo_Mid_Diana(Ratings):
pass
class NA_Yasuo_Mid_Draven(Ratings):
pass
class NA_Yasuo_Mid_DrMundo(Ratings):
pass
class NA_Yasuo_Mid_Ekko(Ratings):
pass
class NA_Yasuo_Mid_Elise(Ratings):
pass
class NA_Yasuo_Mid_Evelynn(Ratings):
pass
class NA_Yasuo_Mid_Ezreal(Ratings):
pass
class NA_Yasuo_Mid_Fiddlesticks(Ratings):
pass
class NA_Yasuo_Mid_Fiora(Ratings):
pass
class NA_Yasuo_Mid_Fizz(Ratings):
pass
class NA_Yasuo_Mid_Galio(Ratings):
pass
class NA_Yasuo_Mid_Gangplank(Ratings):
pass
class NA_Yasuo_Mid_Garen(Ratings):
pass
class NA_Yasuo_Mid_Gnar(Ratings):
pass
class NA_Yasuo_Mid_Gragas(Ratings):
pass
class NA_Yasuo_Mid_Graves(Ratings):
pass
class NA_Yasuo_Mid_Hecarim(Ratings):
pass
class NA_Yasuo_Mid_Heimerdinger(Ratings):
pass
class NA_Yasuo_Mid_Illaoi(Ratings):
pass
class NA_Yasuo_Mid_Irelia(Ratings):
pass
class NA_Yasuo_Mid_Ivern(Ratings):
pass
class NA_Yasuo_Mid_Janna(Ratings):
pass
class NA_Yasuo_Mid_JarvanIV(Ratings):
pass
class NA_Yasuo_Mid_Jax(Ratings):
pass
class NA_Yasuo_Mid_Jayce(Ratings):
pass
class NA_Yasuo_Mid_Jhin(Ratings):
pass
class NA_Yasuo_Mid_Jinx(Ratings):
pass
class NA_Yasuo_Mid_Kalista(Ratings):
pass
class NA_Yasuo_Mid_Karma(Ratings):
pass
class NA_Yasuo_Mid_Karthus(Ratings):
pass
class NA_Yasuo_Mid_Kassadin(Ratings):
pass
class NA_Yasuo_Mid_Katarina(Ratings):
pass
class NA_Yasuo_Mid_Kayle(Ratings):
pass
class NA_Yasuo_Mid_Kayn(Ratings):
pass
class NA_Yasuo_Mid_Kennen(Ratings):
pass
class NA_Yasuo_Mid_Khazix(Ratings):
pass
class NA_Yasuo_Mid_Kindred(Ratings):
pass
class NA_Yasuo_Mid_Kled(Ratings):
pass
class NA_Yasuo_Mid_KogMaw(Ratings):
pass
class NA_Yasuo_Mid_Leblanc(Ratings):
pass
class NA_Yasuo_Mid_LeeSin(Ratings):
pass
class NA_Yasuo_Mid_Leona(Ratings):
pass
class NA_Yasuo_Mid_Lissandra(Ratings):
pass
class NA_Yasuo_Mid_Lucian(Ratings):
pass
class NA_Yasuo_Mid_Lulu(Ratings):
pass
class NA_Yasuo_Mid_Lux(Ratings):
pass
class NA_Yasuo_Mid_Malphite(Ratings):
pass
class NA_Yasuo_Mid_Malzahar(Ratings):
pass
class NA_Yasuo_Mid_Maokai(Ratings):
pass
class NA_Yasuo_Mid_MasterYi(Ratings):
pass
class NA_Yasuo_Mid_MissFortune(Ratings):
pass
class NA_Yasuo_Mid_MonkeyKing(Ratings):
pass
class NA_Yasuo_Mid_Mordekaiser(Ratings):
pass
class NA_Yasuo_Mid_Morgana(Ratings):
pass
class NA_Yasuo_Mid_Nami(Ratings):
pass
class NA_Yasuo_Mid_Nasus(Ratings):
pass
class NA_Yasuo_Mid_Nautilus(Ratings):
pass
class NA_Yasuo_Mid_Nidalee(Ratings):
pass
class NA_Yasuo_Mid_Nocturne(Ratings):
pass
class NA_Yasuo_Mid_Nunu(Ratings):
pass
class NA_Yasuo_Mid_Olaf(Ratings):
pass
class NA_Yasuo_Mid_Orianna(Ratings):
pass
class NA_Yasuo_Mid_Ornn(Ratings):
pass
class NA_Yasuo_Mid_Pantheon(Ratings):
pass
class NA_Yasuo_Mid_Poppy(Ratings):
pass
class NA_Yasuo_Mid_Quinn(Ratings):
pass
class NA_Yasuo_Mid_Rakan(Ratings):
pass
class NA_Yasuo_Mid_Rammus(Ratings):
pass
class NA_Yasuo_Mid_RekSai(Ratings):
pass
class NA_Yasuo_Mid_Renekton(Ratings):
pass
class NA_Yasuo_Mid_Rengar(Ratings):
pass
class NA_Yasuo_Mid_Riven(Ratings):
pass
class NA_Yasuo_Mid_Rumble(Ratings):
pass
class NA_Yasuo_Mid_Ryze(Ratings):
pass
class NA_Yasuo_Mid_Sejuani(Ratings):
pass
class NA_Yasuo_Mid_Shaco(Ratings):
pass
class NA_Yasuo_Mid_Shen(Ratings):
pass
class NA_Yasuo_Mid_Shyvana(Ratings):
pass
class NA_Yasuo_Mid_Singed(Ratings):
pass
class NA_Yasuo_Mid_Sion(Ratings):
pass
class NA_Yasuo_Mid_Sivir(Ratings):
pass
class NA_Yasuo_Mid_Skarner(Ratings):
pass
class NA_Yasuo_Mid_Sona(Ratings):
pass
class NA_Yasuo_Mid_Soraka(Ratings):
pass
class NA_Yasuo_Mid_Swain(Ratings):
pass
class NA_Yasuo_Mid_Syndra(Ratings):
pass
class NA_Yasuo_Mid_TahmKench(Ratings):
pass
class NA_Yasuo_Mid_Taliyah(Ratings):
pass
class NA_Yasuo_Mid_Talon(Ratings):
pass
class NA_Yasuo_Mid_Taric(Ratings):
pass
class NA_Yasuo_Mid_Teemo(Ratings):
pass
class NA_Yasuo_Mid_Thresh(Ratings):
pass
class NA_Yasuo_Mid_Tristana(Ratings):
pass
class NA_Yasuo_Mid_Trundle(Ratings):
pass
class NA_Yasuo_Mid_Tryndamere(Ratings):
pass
class NA_Yasuo_Mid_TwistedFate(Ratings):
pass
class NA_Yasuo_Mid_Twitch(Ratings):
pass
class NA_Yasuo_Mid_Udyr(Ratings):
pass
class NA_Yasuo_Mid_Urgot(Ratings):
pass
class NA_Yasuo_Mid_Varus(Ratings):
pass
class NA_Yasuo_Mid_Vayne(Ratings):
pass
class NA_Yasuo_Mid_Veigar(Ratings):
pass
class NA_Yasuo_Mid_Velkoz(Ratings):
pass
class NA_Yasuo_Mid_Vi(Ratings):
pass
class NA_Yasuo_Mid_Viktor(Ratings):
pass
class NA_Yasuo_Mid_Vladimir(Ratings):
pass
class NA_Yasuo_Mid_Volibear(Ratings):
pass
class NA_Yasuo_Mid_Warwick(Ratings):
pass
class NA_Yasuo_Mid_Xayah(Ratings):
pass
class NA_Yasuo_Mid_Xerath(Ratings):
pass
class NA_Yasuo_Mid_XinZhao(Ratings):
pass
class NA_Yasuo_Mid_Yasuo(Ratings):
pass
class NA_Yasuo_Mid_Yorick(Ratings):
pass
class NA_Yasuo_Mid_Zac(Ratings):
pass
class NA_Yasuo_Mid_Zed(Ratings):
pass
class NA_Yasuo_Mid_Ziggs(Ratings):
pass
class NA_Yasuo_Mid_Zilean(Ratings):
pass
class NA_Yasuo_Mid_Zyra(Ratings):
pass
| 15.364508 | 46 | 0.761667 | 972 | 6,407 | 4.59465 | 0.151235 | 0.216301 | 0.370802 | 0.463502 | 0.797582 | 0.797582 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173404 | 6,407 | 416 | 47 | 15.401442 | 0.843278 | 0 | 0 | 0.498195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.498195 | 0.00361 | 0 | 0.501805 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
53a3677a4a0313560dc9d10428fce5a78c30854a | 799 | py | Python | app/articles_model.py | KaranjaK/News-Api | f8543a4a625b530c58b5f42eebaf3562cbe2fea5 | [
"Unlicense"
] | null | null | null | app/articles_model.py | KaranjaK/News-Api | f8543a4a625b530c58b5f42eebaf3562cbe2fea5 | [
"Unlicense"
] | null | null | null | app/articles_model.py | KaranjaK/News-Api | f8543a4a625b530c58b5f42eebaf3562cbe2fea5 | [
"Unlicense"
] | null | null | null | class Articles:
def __init__(self, id, name, title, urlToImage, author, url, publishedAt, description):
self.id = id
self.name = name
self.title = title
self.urlToImage = urlToImage
self.author = author
self.url = url
self.publishedAt = publishedAt
self.description = description
class Display:
articles_display = []
def __init__(self, id, name, title, urlToImage, author, url, publishedAt, description):
self.id = id
self.name = name
self.title = title
self.urlToImage = urlToImage
self.author = author
self.url = url
self.publishedAt = publishedAt
self.description = description
def save_display(self):
Display.articles_display.append(self) | 28.535714 | 91 | 0.624531 | 85 | 799 | 5.741176 | 0.188235 | 0.04918 | 0.045082 | 0.053279 | 0.815574 | 0.815574 | 0.815574 | 0.815574 | 0.815574 | 0.815574 | 0 | 0 | 0.292866 | 799 | 28 | 92 | 28.535714 | 0.863717 | 0 | 0 | 0.782609 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0 | 0 | 0.26087 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
53b485d0a5a5ee55998acce762c88863e8ffc43a | 5,234 | py | Python | tests/test_observable/test_ifthen.py | Affirm/RxPY | 7c23939ea497761c85b382257f9f0954998ab91e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | tests/test_observable/test_ifthen.py | Affirm/RxPY | 7c23939ea497761c85b382257f9f0954998ab91e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | tests/test_observable/test_ifthen.py | Affirm/RxPY | 7c23939ea497761c85b382257f9f0954998ab91e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | import unittest
from rx.core import Observable
from rx.testing import TestScheduler, ReactiveTest
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 TestIf_then(unittest.TestCase):
def test_if_true(self):
scheduler = TestScheduler()
xs = scheduler.create_hot_observable(on_next(210, 1), on_next(250, 2), on_completed(300))
ys = scheduler.create_hot_observable(on_next(310, 3), on_next(350, 4), on_completed(400))
def create():
return Observable.if_then(lambda: True, xs, ys)
results = scheduler.start(create=create)
results.messages.assert_equal(on_next(210, 1), on_next(250, 2), on_completed(300))
xs.subscriptions.assert_equal(subscribe(200, 300))
ys.subscriptions.assert_equal()
def test_if_false(self):
scheduler = TestScheduler()
xs = scheduler.create_hot_observable(on_next(210, 1), on_next(250, 2), on_completed(300))
ys = scheduler.create_hot_observable(on_next(310, 3), on_next(350, 4), on_completed(400))
def create():
return Observable.if_then(lambda: False, xs, ys)
results = scheduler.start(create=create)
results.messages.assert_equal(on_next(310, 3), on_next(350, 4), on_completed(400))
xs.subscriptions.assert_equal()
ys.subscriptions.assert_equal(subscribe(200, 400))
def test_if_throw(self):
ex = 'ex'
scheduler = TestScheduler()
xs = scheduler.create_hot_observable(on_next(210, 1), on_next(250, 2), on_completed(300))
ys = scheduler.create_hot_observable(on_next(310, 3), on_next(350, 4), on_completed(400))
def create():
def condition():
raise Exception(ex)
return Observable.if_then(condition, xs, ys)
results = scheduler.start(create=create)
results.messages.assert_equal(on_error(200, ex))
xs.subscriptions.assert_equal()
ys.subscriptions.assert_equal()
def test_if_dispose(self):
scheduler = TestScheduler()
xs = scheduler.create_hot_observable(on_next(210, 1), on_next(250, 2))
ys = scheduler.create_hot_observable(on_next(310, 3), on_next(350, 4), on_completed(400))
def create():
return Observable.if_then(lambda: True, xs, ys)
results = scheduler.start(create=create)
results.messages.assert_equal(on_next(210, 1), on_next(250, 2))
xs.subscriptions.assert_equal(subscribe(200, 1000))
ys.subscriptions.assert_equal()
def test_if_default_completed(self):
b = [False]
scheduler = TestScheduler()
xs = scheduler.create_hot_observable(on_next(110, 1), on_next(220, 2), on_next(330, 3), on_completed(440))
def action(scheduler, state):
b[0] = True
scheduler.schedule_absolute(150, action)
def create():
def condition():
return b[0]
return Observable.if_then(condition, xs)
results = scheduler.start(create)
results.messages.assert_equal(on_next(220, 2), on_next(330, 3), on_completed(440))
xs.subscriptions.assert_equal(subscribe(200, 440))
def test_if_default_error(self):
ex = 'ex'
b = [False]
scheduler = TestScheduler()
xs = scheduler.create_hot_observable(on_next(110, 1), on_next(220, 2), on_next(330, 3), on_error(440, ex))
def action(scheduler, state):
b[0] = True
scheduler.schedule_absolute(150, action)
def create():
def condition():
return b[0]
return Observable.if_then(condition, xs)
results = scheduler.start(create)
results.messages.assert_equal(on_next(220, 2), on_next(330, 3), on_error(440, ex))
xs.subscriptions.assert_equal(subscribe(200, 440))
def test_if_default_never(self):
b = [False]
scheduler = TestScheduler()
xs = scheduler.create_hot_observable(on_next(110, 1), on_next(220, 2), on_next(330, 3))
def action(scheduler, state):
b[0] = True
scheduler.schedule_absolute(150, action)
def create():
def condition():
return b[0]
return Observable.if_then(condition, xs)
results = scheduler.start(create)
results.messages.assert_equal(on_next(220, 2), on_next(330, 3))
xs.subscriptions.assert_equal(subscribe(200, 1000))
def test_if_default_other(self):
b = [True]
scheduler = TestScheduler()
xs = scheduler.create_hot_observable(on_next(110, 1), on_next(220, 2), on_next(330, 3), on_error(440, 'ex'))
def action(scheduler, state):
b[0] = False
scheduler.schedule_absolute(150, action)
def create():
def condition():
return b[0]
return Observable.if_then(condition, xs)
results = scheduler.start(create)
results.messages.assert_equal(on_completed(200))
xs.subscriptions.assert_equal()
| 36.601399 | 116 | 0.644822 | 667 | 5,234 | 4.851574 | 0.107946 | 0.077874 | 0.066749 | 0.103832 | 0.840544 | 0.836218 | 0.814895 | 0.764524 | 0.732386 | 0.732386 | 0 | 0.067003 | 0.241498 | 5,234 | 142 | 117 | 36.859155 | 0.748111 | 0 | 0 | 0.648649 | 0 | 0 | 0.001146 | 0 | 0 | 0 | 0 | 0 | 0.18018 | 1 | 0.225225 | false | 0 | 0.027027 | 0.063063 | 0.369369 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
53c819d16e5903ff0f9ac2eaa106a97b18074fd1 | 1,484 | py | Python | libStash/books/migrations/0013_auto_20201030_0228.py | Dev-Rem/libStash | a364e9997c1c91b09f5db8a004deb4df305fa8cf | [
"MIT"
] | null | null | null | libStash/books/migrations/0013_auto_20201030_0228.py | Dev-Rem/libStash | a364e9997c1c91b09f5db8a004deb4df305fa8cf | [
"MIT"
] | null | null | null | libStash/books/migrations/0013_auto_20201030_0228.py | Dev-Rem/libStash | a364e9997c1c91b09f5db8a004deb4df305fa8cf | [
"MIT"
] | null | null | null | # Generated by Django 3.1.1 on 2020-10-30 02:28
import uuid
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('books', '0012_auto_20201027_2053'),
]
operations = [
migrations.AlterField(
model_name='author',
name='unique_id',
field=models.UUIDField(db_index=True, default=uuid.uuid4, editable=False, unique=True),
),
migrations.AlterField(
model_name='book',
name='unique_id',
field=models.UUIDField(db_index=True, default=uuid.uuid4, editable=False, unique=True),
),
migrations.AlterField(
model_name='image',
name='unique_id',
field=models.UUIDField(db_index=True, default=uuid.uuid4, editable=False, unique=True),
),
migrations.AlterField(
model_name='publisher',
name='unique_id',
field=models.UUIDField(db_index=True, default=uuid.uuid4, editable=False, unique=True),
),
migrations.AlterField(
model_name='warehouse',
name='unique_id',
field=models.UUIDField(db_index=True, default=uuid.uuid4, editable=False, unique=True),
),
migrations.AlterField(
model_name='warehousebook',
name='unique_id',
field=models.UUIDField(db_index=True, default=uuid.uuid4, editable=False, unique=True),
),
]
| 32.26087 | 99 | 0.600404 | 157 | 1,484 | 5.541401 | 0.286624 | 0.137931 | 0.172414 | 0.2 | 0.732184 | 0.732184 | 0.732184 | 0.732184 | 0.732184 | 0.732184 | 0 | 0.034677 | 0.280997 | 1,484 | 45 | 100 | 32.977778 | 0.780694 | 0.030323 | 0 | 0.631579 | 1 | 0 | 0.089074 | 0.016006 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.052632 | 0 | 0.131579 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
53d076995b73c97d627ca3cb9996a04897bb88d2 | 82 | py | Python | python/module/cpptools/__init__.py | DerThorsten/cpptools | 3664e7d3b14536340d2e078ff72266665936a952 | [
"MIT"
] | 7 | 2019-11-13T19:17:26.000Z | 2021-07-12T09:02:57.000Z | python/module/cpptools/__init__.py | DerThorsten/cpptools | 3664e7d3b14536340d2e078ff72266665936a952 | [
"MIT"
] | null | null | null | python/module/cpptools/__init__.py | DerThorsten/cpptools | 3664e7d3b14536340d2e078ff72266665936a952 | [
"MIT"
] | 2 | 2021-03-19T19:16:57.000Z | 2021-07-11T20:07:51.000Z | from . _cpptools import *
def pure_python():
"""
hello
"""
pass | 9.111111 | 25 | 0.512195 | 8 | 82 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.353659 | 82 | 9 | 26 | 9.111111 | 0.754717 | 0.060976 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 7 |
53e138e7365ebe81bca48bdf3cf78902a0bdbf4d | 166 | py | Python | krlparser/helper.py | d4nuu8/krlparser | 4fad417349821f67442a94f51e4f652ad3635cc0 | [
"MIT"
] | 8 | 2019-09-30T20:11:41.000Z | 2021-07-01T01:24:30.000Z | krlparser/helper.py | d4nuu8/krlparser | 4fad417349821f67442a94f51e4f652ad3635cc0 | [
"MIT"
] | null | null | null | krlparser/helper.py | d4nuu8/krlparser | 4fad417349821f67442a94f51e4f652ad3635cc0 | [
"MIT"
] | 3 | 2019-12-24T08:16:23.000Z | 2021-04-01T14:09:49.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import re
def camel_to_snake(camel_string):
return re.sub("([A-Z]+)", r"_\1", camel_string).lstrip("_").lower()
| 18.444444 | 71 | 0.620482 | 26 | 166 | 3.730769 | 0.846154 | 0.226804 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020833 | 0.13253 | 166 | 8 | 72 | 20.75 | 0.652778 | 0.259036 | 0 | 0 | 0 | 0 | 0.099174 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0.333333 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 7 |
4ad230623d270e4ae9d01f089942bd9187ca3110 | 114 | py | Python | test_core.py | danielhuppmann/lecture-fall-2020 | aaf2d18e69d2c3ea16fccf5bdf8d74c1e41e5d2c | [
"Apache-2.0"
] | null | null | null | test_core.py | danielhuppmann/lecture-fall-2020 | aaf2d18e69d2c3ea16fccf5bdf8d74c1e41e5d2c | [
"Apache-2.0"
] | null | null | null | test_core.py | danielhuppmann/lecture-fall-2020 | aaf2d18e69d2c3ea16fccf5bdf8d74c1e41e5d2c | [
"Apache-2.0"
] | 2 | 2020-11-04T09:27:06.000Z | 2020-11-06T09:48:11.000Z | from core import foo
def test_foo():
assert foo(2) == 3
def test_foo_two_args():
assert foo(2, 3) == 6
| 12.666667 | 25 | 0.622807 | 21 | 114 | 3.190476 | 0.571429 | 0.208955 | 0.298507 | 0.328358 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05814 | 0.245614 | 114 | 8 | 26 | 14.25 | 0.72093 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4 | 1 | 0.4 | true | 0 | 0.2 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 |
ab1d7401da6fda58d3a067f585f5a6508c43f6d8 | 206 | py | Python | traces/operations.py | CompGeoInc/traces | f309da9c37f705e2f51cf5b1c6c8163d81e369eb | [
"MIT"
] | 502 | 2015-11-09T21:12:45.000Z | 2022-03-23T14:40:14.000Z | traces/operations.py | CompGeoInc/traces | f309da9c37f705e2f51cf5b1c6c8163d81e369eb | [
"MIT"
] | 149 | 2015-03-31T16:17:04.000Z | 2022-03-25T13:07:31.000Z | traces/operations.py | CompGeoInc/traces | f309da9c37f705e2f51cf5b1c6c8163d81e369eb | [
"MIT"
] | 73 | 2015-12-07T21:44:06.000Z | 2022-01-13T17:33:06.000Z | from traces import decorators
@decorators.ignorant
def ignorant_sum(*args, **kwargs):
return sum(*args, **kwargs)
@decorators.strict
def strict_sum(*args, **kwargs):
return sum(*args, **kwargs)
| 17.166667 | 34 | 0.708738 | 26 | 206 | 5.538462 | 0.423077 | 0.194444 | 0.361111 | 0.263889 | 0.444444 | 0.444444 | 0.444444 | 0 | 0 | 0 | 0 | 0 | 0.145631 | 206 | 11 | 35 | 18.727273 | 0.818182 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | true | 0 | 0.142857 | 0.285714 | 0.714286 | 0 | 1 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
db87659f9f7d3c394ec79014d2b94d460169a1e5 | 22 | py | Python | Chapter 04/ch41n.py | bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE | f6a4194684515495d00aa38347a725dd08f39a0c | [
"MIT"
] | null | null | null | Chapter 04/ch41n.py | bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE | f6a4194684515495d00aa38347a725dd08f39a0c | [
"MIT"
] | null | null | null | Chapter 04/ch41n.py | bpbpublications/TEST-YOUR-SKILLS-IN-PYTHON-LANGUAGE | f6a4194684515495d00aa38347a725dd08f39a0c | [
"MIT"
] | null | null | null | print(10<<3>>4)
#5 | 7.333333 | 17 | 0.454545 | 5 | 22 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.294118 | 0.227273 | 22 | 3 | 18 | 7.333333 | 0.294118 | 0.045455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
dbdabae6f8f2af6ffb63b33c2eb4fab8acbb9777 | 1,155 | py | Python | tests/test_engine/test_update/test_update_setOnInsert.py | bobuk/montydb | 9ee299e7f1d3a7236abb683e0dfe4f7817859b2c | [
"BSD-3-Clause"
] | 478 | 2019-07-31T00:48:11.000Z | 2022-03-18T09:12:29.000Z | tests/test_engine/test_update/test_update_setOnInsert.py | bobuk/montydb | 9ee299e7f1d3a7236abb683e0dfe4f7817859b2c | [
"BSD-3-Clause"
] | 47 | 2019-07-28T10:12:22.000Z | 2022-01-04T16:25:12.000Z | tests/test_engine/test_update/test_update_setOnInsert.py | bobuk/montydb | 9ee299e7f1d3a7236abb683e0dfe4f7817859b2c | [
"BSD-3-Clause"
] | 26 | 2019-08-09T14:28:29.000Z | 2022-02-22T02:49:51.000Z |
def test_update_setOnInsert_1(monty_update, mongo_update):
docs = []
spec = {"$setOnInsert": {"a.$[]": 10}}
find = {"a": [1]}
monty_c = monty_update(docs, spec, find, upsert=True)
mongo_c = mongo_update(docs, spec, find, upsert=True)
assert next(mongo_c) == next(monty_c)
monty_c.rewind()
assert next(monty_c) == {"a": [10]}
def test_update_setOnInsert_2(monty_update, mongo_update):
docs = []
spec = {"$set": {"a": 9}, "$setOnInsert": {"b": 0}}
find = {"a": {"$exists": 1}}
monty_c = monty_update(docs, spec, find, upsert=True)
mongo_c = mongo_update(docs, spec, find, upsert=True)
assert next(mongo_c) == next(monty_c)
monty_c.rewind()
assert next(monty_c) == {"a": 9, "b": 0}
def test_update_setOnInsert_3(monty_update, mongo_update):
docs = [
{"a": 4}
]
spec = {"$set": {"a": 9}, "$setOnInsert": {"b": 0}}
find = {"a": {"$exists": 1}}
monty_c = monty_update(docs, spec, find, upsert=True)
mongo_c = mongo_update(docs, spec, find, upsert=True)
assert next(mongo_c) == next(monty_c)
monty_c.rewind()
assert next(monty_c) == {"a": 9}
| 27.5 | 58 | 0.598268 | 165 | 1,155 | 3.951515 | 0.157576 | 0.110429 | 0.171779 | 0.165644 | 0.846626 | 0.806748 | 0.720859 | 0.720859 | 0.720859 | 0.720859 | 0 | 0.019759 | 0.211255 | 1,155 | 41 | 59 | 28.170732 | 0.695939 | 0 | 0 | 0.62069 | 0 | 0 | 0.065048 | 0 | 0 | 0 | 0 | 0 | 0.206897 | 1 | 0.103448 | false | 0 | 0 | 0 | 0.103448 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
91bc653faa4c89f1a9b0430b02a776165c714729 | 6,929 | py | Python | hohos/core/forms.py | hohosInc/hohos | 6c1ad8690aad3528e8e880064c59c797cccfb97b | [
"MIT"
] | 2 | 2018-03-23T06:51:39.000Z | 2018-07-01T07:45:21.000Z | hohos/core/forms.py | hohos-iA/hohos | 6c1ad8690aad3528e8e880064c59c797cccfb97b | [
"MIT"
] | 11 | 2018-10-04T20:16:07.000Z | 2022-03-11T23:19:09.000Z | hohos/core/forms.py | hohosInc/hohos | 6c1ad8690aad3528e8e880064c59c797cccfb97b | [
"MIT"
] | 1 | 2018-08-29T06:00:38.000Z | 2018-08-29T06:00:38.000Z | from django import forms
from django.contrib.auth.models import User
from authentication.models import Profile
class ProfileFormHuman(forms.ModelForm):
first_name = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=30,
required=False)
last_name = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=30,
required=False)
job = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False)
email = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False)
website = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False)
home = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False)
institute = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False,
)
status = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=200,
required=False,
)
birth_date = forms.DateField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
# max_length=80,
required=False,
)
quora = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=150,
required=False
)
facebook = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=150,
required=False
)
twitter = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=150,
required=False
)
linkedin = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=150,
required=False
)
want_to_do = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False
)
likes_most = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False
)
likes_not = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False
)
class Meta:
model = User
fields = ['status', 'first_name', 'last_name', 'want_to_do', 'job',
'institute', 'birth_date', 'home',
'email', 'website', 'quora', 'facebook', 'twitter', 'linkedin'
]
class ProfileFormProducts(forms.ModelForm):
first_name = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=30,
required=False)
last_name = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=30,
required=False)
job = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False)
email = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False)
website = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False)
home = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False)
company = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False,
)
status = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=200,
required=False,
)
birth_date = forms.DateField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
# max_length=80,
required=False,
)
quora = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=150,
required=False
)
facebook = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=150,
required=False
)
twitter = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=150,
required=False
)
linkedin = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=150,
required=False
)
want_to_do = forms.CharField(
widget=forms.TextInput(attrs={'class': 'form-control'}),
max_length=100,
required=False
)
class Meta:
model = User
fields = ['status', 'first_name', 'last_name', 'want_to_do',
'job', 'company', 'birth_date', 'home',
'email', 'website', 'quora', 'facebook', 'twitter',
'linkedin',
]
class ChangePasswordForm(forms.ModelForm):
id = forms.CharField(widget=forms.HiddenInput())
old_password = forms.CharField(
widget=forms.PasswordInput(attrs={'class': 'form-control'}),
label="Old password",
required=True)
new_password = forms.CharField(
widget=forms.PasswordInput(attrs={'class': 'form-control'}),
label="New password",
required=True)
confirm_password = forms.CharField(
widget=forms.PasswordInput(attrs={'class': 'form-control'}),
label="Confirm new password",
required=True)
class Meta:
model = User
fields = ['id', 'old_password', 'new_password', 'confirm_password']
def clean(self):
super(ChangePasswordForm, self).clean()
old_password = self.cleaned_data.get('old_password')
new_password = self.cleaned_data.get('new_password')
confirm_password = self.cleaned_data.get('confirm_password')
id = self.cleaned_data.get('id')
user = User.objects.get(pk=id)
if not user.check_password(old_password):
self._errors['old_password'] = self.error_class([
'Old password don\'t match'])
if new_password and len(new_password) < 4:
self._errors['new_password'] = self.error_class(
['Passwords too sort'])
if new_password and new_password != confirm_password:
self._errors['new_password'] = self.error_class([
'Passwords don\'t match'])
return self.cleaned_data
class ProfilePhotoForm(forms.ModelForm):
class Meta:
model = Profile
fields = ['image'] | 33.8 | 80 | 0.592293 | 718 | 6,929 | 5.597493 | 0.125348 | 0.093058 | 0.114954 | 0.172431 | 0.818114 | 0.781787 | 0.781787 | 0.781787 | 0.759891 | 0.759891 | 0 | 0.016822 | 0.270746 | 6,929 | 205 | 81 | 33.8 | 0.778547 | 0.004185 | 0 | 0.661458 | 0 | 0 | 0.141925 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005208 | false | 0.125 | 0.015625 | 0 | 0.244792 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
91d705223316360b8c05954259724a5f7d246440 | 45,078 | py | Python | python/paddle/fluid/tests/unittests/test_optimizer.py | LWhite027/PaddleBox | b14bcdf285dd8829e11ab12cc815ac1b1ab62694 | [
"Apache-2.0"
] | 10 | 2021-05-12T07:20:32.000Z | 2022-03-04T08:21:56.000Z | python/paddle/fluid/tests/unittests/test_optimizer.py | AFLee/Paddle | 311b3b44fc7d51d4d66d90ab8a3fc0d42231afda | [
"Apache-2.0"
] | 1 | 2021-01-07T11:00:58.000Z | 2021-01-07T11:00:58.000Z | python/paddle/fluid/tests/unittests/test_optimizer.py | AFLee/Paddle | 311b3b44fc7d51d4d66d90ab8a3fc0d42231afda | [
"Apache-2.0"
] | 25 | 2019-12-07T02:14:14.000Z | 2021-12-30T06:16:30.000Z | # Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import print_function
import unittest
import paddle.fluid as fluid
import paddle.fluid.framework as framework
import paddle.fluid.optimizer as optimizer
import paddle.fluid.core as core
import paddle.compat as cpt
import numpy as np
from paddle.fluid.backward import append_backward
from paddle.fluid.framework import Program, program_guard
class TestOptimizer(unittest.TestCase):
def test_sgd_optimizer(self):
def check_sgd_optimizer(optimizer_attr):
init_program = framework.Program()
program = framework.Program()
block = program.global_block()
mul_x = block.create_parameter(
dtype="float32",
shape=[5, 10],
lod_level=0,
name="mul.x",
optimize_attr=optimizer_attr)
mul_y = block.create_var(
dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
mul_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
mean_out = block.create_var(
dtype="float32", shape=[1], lod_level=0, name="mean.out")
block.append_op(
type="mul",
inputs={"X": mul_x,
"Y": mul_y},
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
block.append_op(
type="mean", inputs={"X": mul_out}, outputs={"Out": mean_out})
sgd_optimizer = optimizer.SGDOptimizer(learning_rate=0.01)
opts, _ = sgd_optimizer.minimize(mean_out, init_program)
return opts
opts = check_sgd_optimizer({'learning_rate': 1.1})
self.assertEqual(len(opts), 2)
self.assertEqual([op.type for op in opts], ["scale", "sgd"])
opts = check_sgd_optimizer({'learning_rate': 1.0})
self.assertEqual(len(opts), 1)
self.assertEqual([op.type for op in opts], ["sgd"])
class TestOptimizerBackwardApplygrad(unittest.TestCase):
def test_sgd_optimizer(self):
def check_sgd_optimizer(optimizer_attr):
init_program = framework.Program()
program = framework.Program()
block = program.global_block()
mul_x = block.create_parameter(
dtype="float32",
shape=[5, 10],
lod_level=0,
name="mul.x",
optimize_attr=optimizer_attr)
mul_y = block.create_var(
dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
mul_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
mean_out = block.create_var(
dtype="float32", shape=[1], lod_level=0, name="mean.out")
block.append_op(
type="mul",
inputs={"X": mul_x,
"Y": mul_y},
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
block.append_op(
type="mean", inputs={"X": mul_out}, outputs={"Out": mean_out})
sgd_optimizer = optimizer.SGDOptimizer(learning_rate=0.01)
with framework.program_guard(program, init_program):
p_g = sgd_optimizer.backward(mean_out)
opts = sgd_optimizer.apply_gradients(p_g)
return opts
opts = check_sgd_optimizer({'learning_rate': 1.1})
self.assertEqual(len(opts), 2)
self.assertEqual([op.type for op in opts], ["scale", "sgd"])
opts = check_sgd_optimizer({'learning_rate': 1.0})
self.assertEqual(len(opts), 1)
self.assertEqual([op.type for op in opts], ["sgd"])
class TestMomentumOptimizer(unittest.TestCase):
class MockMomentum(optimizer.MomentumOptimizer):
def get_accumulators(self):
return self._accumulators
def get_velocity_str(self):
return self._velocity_acc_str
def test_vanilla_momentum_optimizer(self):
init_program = framework.Program()
program = framework.Program()
block = program.global_block()
mul_x = block.create_parameter(
dtype="float32",
shape=[5, 10],
lod_level=0,
name="mul.x",
optimize_attr={'learning_rate': 1.1})
mul_y = block.create_var(
dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
mul_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
block.append_op(
type="mul",
inputs={"X": mul_x,
"Y": mul_y},
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
learning_rate = 0.01
momentum_optimizer = self.MockMomentum(
learning_rate=learning_rate, momentum=0.2)
mean_out = block.create_var(
dtype="float32", shape=[1], lod_level=0, name="mean.out")
block.append_op(
type="mean", inputs={"X": mul_out}, outputs={"Out": mean_out})
params_grads = append_backward(mean_out)
self.assertEqual(len(params_grads), 1)
self.assertEqual(len(momentum_optimizer.get_accumulators()), 0)
with framework.program_guard(program, init_program):
opts = momentum_optimizer.apply_gradients(params_grads)
self.assertEqual(len(opts), 2)
sgd_op = opts[-1]
self.assertEqual([op.type for op in opts], ["scale", "momentum"])
self.assertFalse(sgd_op.attr('use_nesterov'))
# Check accumulators
accumulators = momentum_optimizer.get_accumulators()
self.assertEqual(len(accumulators), 1)
self.assertTrue(momentum_optimizer.get_velocity_str() in accumulators)
velocity_acc = accumulators[momentum_optimizer.get_velocity_str()]
self.assertEqual(len(velocity_acc), 1)
self.assertTrue(mul_x.name in velocity_acc)
# Check init_program
init_ops = init_program.global_block().ops
self.assertEqual(len(init_ops), 2)
self.assertEqual(init_ops[0].type, "fill_constant")
self.assertAlmostEqual(init_ops[0].attr('value'), learning_rate)
self.assertEqual(init_ops[1].type, "fill_constant")
self.assertAlmostEqual(init_ops[1].attr('value'), 0.0)
def test_nesterov_momentum_optimizer(self):
init_program = framework.Program()
program = framework.Program()
block = program.global_block()
mul_x = block.create_parameter(
dtype="float32",
shape=[5, 10],
lod_level=0,
name="mul.x",
optimize_attr={'learning_rate': 1.1})
mul_y = block.create_var(
dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
mul_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
block.append_op(
type="mul",
inputs={"X": mul_x,
"Y": mul_y},
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
mean_out = block.create_var(
dtype="float32", shape=[1], lod_level=0, name="mean.out")
block.append_op(
type="mean", inputs={"X": mul_out}, outputs={"Out": mean_out})
learning_rate = 0.01
momentum_optimizer = self.MockMomentum(
learning_rate=learning_rate, momentum=0.2, use_nesterov=True)
params_grads = append_backward(mean_out)
self.assertEqual(len(params_grads), 1)
self.assertEqual(len(momentum_optimizer.get_accumulators()), 0)
with framework.program_guard(program, init_program):
opts = momentum_optimizer.apply_gradients(params_grads)
self.assertEqual(len(opts), 2)
sgd_op = opts[-1]
self.assertEqual([op.type for op in opts], ["scale", "momentum"])
self.assertTrue(sgd_op.attr('use_nesterov'))
# Check accumulators
accumulators = momentum_optimizer.get_accumulators()
self.assertEqual(len(accumulators), 1)
self.assertTrue(momentum_optimizer.get_velocity_str() in accumulators)
velocity_acc = accumulators[momentum_optimizer.get_velocity_str()]
self.assertEqual(len(velocity_acc), 1)
self.assertTrue(mul_x.name in velocity_acc)
# Check init_program
init_ops = init_program.global_block().ops
self.assertEqual(len(init_ops), 2)
self.assertEqual(init_ops[0].type, "fill_constant")
self.assertAlmostEqual(init_ops[0].attr('value'), learning_rate)
self.assertEqual(init_ops[1].type, "fill_constant")
self.assertAlmostEqual(init_ops[1].attr('value'), 0.0)
class TestAdagradOptimizer(unittest.TestCase):
class MockAdagrad(optimizer.AdagradOptimizer):
def get_accumulators(self):
return self._accumulators
def get_moment_str(self):
return self._moment_acc_str
def test_adagrad_optimizer(self):
init_program = framework.Program()
program = framework.Program()
block = program.global_block()
mul_x = block.create_parameter(
dtype="float32",
shape=[5, 10],
lod_level=0,
name="mul.x",
optimize_attr={'learning_rate': 1.1})
mul_y = block.create_var(
dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
mul_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
block.append_op(
type="mul",
inputs={"X": mul_x,
"Y": mul_y},
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
mean_out = block.create_var(
dtype="float32", shape=[1], lod_level=0, name="mean.out")
block.append_op(
type="mean", inputs={"X": mul_out}, outputs={"Out": mean_out})
learning_rate = 0.01
adagrad_optimizer = self.MockAdagrad(
learning_rate=learning_rate, epsilon=1.0e-6)
params_grads = append_backward(mean_out)
self.assertEqual(len(params_grads), 1)
self.assertEqual(len(adagrad_optimizer.get_accumulators()), 0)
with framework.program_guard(program, init_program):
opts = adagrad_optimizer.apply_gradients(params_grads)
self.assertEqual(len(opts), 2)
self.assertEqual([op.type for op in opts], ["scale", "adagrad"])
# Check accumulators
accumulators = adagrad_optimizer.get_accumulators()
self.assertEqual(len(accumulators), 1)
self.assertTrue(adagrad_optimizer.get_moment_str() in accumulators)
moment_acc = accumulators[adagrad_optimizer.get_moment_str()]
self.assertEqual(len(moment_acc), 1)
self.assertTrue(mul_x.name in moment_acc)
# Check init_program
init_ops = init_program.global_block().ops
self.assertEqual(len(init_ops), 2)
self.assertEqual(init_ops[0].type, "fill_constant")
self.assertAlmostEqual(init_ops[0].attr('value'), learning_rate)
self.assertEqual(init_ops[1].type, "fill_constant")
self.assertAlmostEqual(init_ops[1].attr('value'), 0.0)
class TestAdamOptimizer(unittest.TestCase):
class MockAdam(optimizer.AdamOptimizer):
def get_accumulators(self):
return self._accumulators
def get_moment1_str(self):
return self._moment1_acc_str
def get_moment2_str(self):
return self._moment2_acc_str
def test_adam_optimizer(self):
init_program = framework.Program()
program = framework.Program()
block = program.global_block()
mul_x = block.create_parameter(
dtype="float32",
shape=[5, 10],
lod_level=0,
name="mul.x",
optimize_attr={'learning_rate': 1.1})
mul_y = block.create_var(
dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
mul_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
block.append_op(
type="mul",
inputs={"X": mul_x,
"Y": mul_y},
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
mean_out = block.create_var(
dtype="float32", shape=[1], lod_level=0, name="mean.out")
block.append_op(
type="mean", inputs={"X": mul_out}, outputs={"Out": mean_out})
learning_rate = 0.01
adam_optimizer = self.MockAdam(
learning_rate=learning_rate, beta1=0.9, beta2=0.999)
params_grads = append_backward(mean_out)
self.assertEqual(len(params_grads), 1)
self.assertEqual(len(adam_optimizer.get_accumulators()), 0)
with framework.program_guard(program, init_program):
opts = adam_optimizer.apply_gradients(params_grads)
self.assertEqual(len(opts), 2)
self.assertEqual([op.type for op in opts], ["scale", "adam"])
# Check accumulators
accumulators = adam_optimizer.get_accumulators()
self.assertEqual(len(accumulators), 4)
self.assertTrue(adam_optimizer.get_moment1_str() in accumulators)
self.assertTrue(adam_optimizer.get_moment2_str() in accumulators)
moment1_acc = accumulators[adam_optimizer.get_moment1_str()]
moment2_acc = accumulators[adam_optimizer.get_moment2_str()]
self.assertEqual(len(moment1_acc), 1)
self.assertEqual(len(moment2_acc), 1)
self.assertTrue(mul_x.name in moment1_acc)
self.assertTrue(mul_x.name in moment2_acc)
# Check init_program
init_ops = init_program.global_block().ops
self.assertEqual(len(init_ops), 5)
self.assertEqual(init_ops[0].type, "fill_constant")
self.assertAlmostEqual(init_ops[0].attr('value'), learning_rate)
class TestAdamaxOptimizer(unittest.TestCase):
class MockAdamax(optimizer.AdamaxOptimizer):
def get_accumulators(self):
return self._accumulators
def get_moment_str(self):
return self._moment_acc_str
def get_inf_norm_str(self):
return self._inf_norm_acc_str
def test_adamax_optimizer(self):
init_program = framework.Program()
program = framework.Program()
block = program.global_block()
mul_x = block.create_parameter(
dtype="float32",
shape=[5, 10],
lod_level=0,
name="mul.x",
optimize_attr={'learning_rate': 1.1})
mul_y = block.create_var(
dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
mul_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
block.append_op(
type="mul",
inputs={"X": mul_x,
"Y": mul_y},
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
mean_out = block.create_var(
dtype="float32", shape=[1], lod_level=0, name="mean.out")
block.append_op(
type="mean", inputs={"X": mul_out}, outputs={"Out": mean_out})
learning_rate = 0.01
adamax_optimizer = self.MockAdamax(
learning_rate=learning_rate, beta1=0.9, beta2=0.999)
params_grads = append_backward(mean_out)
self.assertEqual(len(params_grads), 1)
self.assertEqual(len(adamax_optimizer.get_accumulators()), 0)
with framework.program_guard(program, init_program):
opts = adamax_optimizer.apply_gradients(params_grads)
self.assertEqual(len(opts), 3)
self.assertEqual([op.type for op in opts], ["scale", "adamax", "scale"])
# Check accumulators
accumulators = adamax_optimizer.get_accumulators()
self.assertEqual(len(accumulators), 3)
self.assertTrue(adamax_optimizer.get_moment_str() in accumulators)
self.assertTrue(adamax_optimizer.get_inf_norm_str() in accumulators)
moment_acc = accumulators[adamax_optimizer.get_moment_str()]
inf_norm_acc = accumulators[adamax_optimizer.get_inf_norm_str()]
self.assertEqual(len(moment_acc), 1)
self.assertEqual(len(inf_norm_acc), 1)
self.assertTrue(mul_x.name in moment_acc)
self.assertTrue(mul_x.name in inf_norm_acc)
# Check init_program
init_ops = init_program.global_block().ops
self.assertEqual(len(init_ops), 4)
self.assertEqual(init_ops[0].type, "fill_constant")
self.assertAlmostEqual(init_ops[0].attr('value'), learning_rate)
class TestDpsgdOptimizer(unittest.TestCase):
def test_dpsgd_optimizer(self):
def check_dpsgd_optimizer(optimizer_attr):
init_program = framework.Program()
program = framework.Program()
block = program.global_block()
mul_x = block.create_parameter(
dtype="float32",
shape=[5, 10],
lod_level=0,
name="mul.x",
optimize_attr=optimizer_attr)
mul_y = block.create_var(
dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
mul_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
block.append_op(
type="mul",
inputs={"X": mul_x,
"Y": mul_y},
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
mean_out = block.create_var(
dtype="float32", shape=[1], lod_level=0, name="mean.out")
block.append_op(
type="mean", inputs={"X": mul_out}, outputs={"Out": mean_out})
dpsgd_optimizer = optimizer.DpsgdOptimizer(
learning_rate=0.01, clip=100.0, batch_size=16.0, sigma=0.0)
opts, _ = dpsgd_optimizer.minimize(mean_out, init_program)
return opts
opts = check_dpsgd_optimizer({
'learning_rate': 1.1,
'clip': 100.0,
'batch_size': 16.0,
'sigma': 4.0
})
self.assertEqual(len(opts), 2)
self.assertEqual([op.type for op in opts], ["scale", "dpsgd"])
class TestDecayedAdagradOptimizer(unittest.TestCase):
class MockDecayedAdagrad(optimizer.DecayedAdagradOptimizer):
def get_accumulators(self):
return self._accumulators
def get_moment_str(self):
return self._moment_acc_str
def test_decayed_adagrad_optimizer(self):
init_program = framework.Program()
program = framework.Program()
block = program.global_block()
mul_x = block.create_parameter(
dtype="float32",
shape=[5, 10],
lod_level=0,
name="mul.x",
optimize_attr={'learning_rate': 1.1})
mul_y = block.create_var(
dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
mul_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
block.append_op(
type="mul",
inputs={"X": mul_x,
"Y": mul_y},
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
mean_out = block.create_var(
dtype="float32", shape=[1], lod_level=0, name="mean.out")
block.append_op(
type="mean", inputs={"X": mul_out}, outputs={"Out": mean_out})
learning_rate = 0.01
decayed_adagrad_optimizer = self.MockDecayedAdagrad(
learning_rate=learning_rate, decay=0.95, epsilon=1.0e-6)
params_grads = append_backward(mean_out)
self.assertEqual(len(params_grads), 1)
self.assertEqual(len(decayed_adagrad_optimizer.get_accumulators()), 0)
with framework.program_guard(program, init_program):
opts = decayed_adagrad_optimizer.apply_gradients(params_grads)
self.assertEqual(len(opts), 2)
self.assertEqual([op.type for op in opts], ["scale", "decayed_adagrad"])
# Check accumulators
accumulators = decayed_adagrad_optimizer.get_accumulators()
self.assertEqual(len(accumulators), 1)
self.assertTrue(
decayed_adagrad_optimizer.get_moment_str() in accumulators)
moment_acc = accumulators[decayed_adagrad_optimizer.get_moment_str()]
self.assertEqual(len(moment_acc), 1)
self.assertTrue(mul_x.name in moment_acc)
# Check init_program
init_ops = init_program.global_block().ops
self.assertEqual(len(init_ops), 2)
self.assertEqual(init_ops[0].type, "fill_constant")
self.assertAlmostEqual(init_ops[0].attr('value'), learning_rate)
self.assertEqual(init_ops[1].type, "fill_constant")
self.assertAlmostEqual(init_ops[1].attr('value'), 0.0)
class TestFtrlOptimizer(unittest.TestCase):
class MockFtrl(optimizer.FtrlOptimizer):
def get_accumulators(self):
return self._accumulators
def get_squared_str(self):
return self._squared_acc_str
def get_linear_str(self):
return self._linear_acc_str
def test_ftrl_optimizer(self):
init_program = framework.Program()
program = framework.Program()
block = program.global_block()
mul_x = block.create_parameter(
dtype="float32",
shape=[5, 10],
lod_level=0,
name="mul.x",
optimize_attr={'learning_rate': 1.1})
mul_y = block.create_var(
dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
mul_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
block.append_op(
type="mul",
inputs={"X": mul_x,
"Y": mul_y},
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
mean_out = block.create_var(
dtype="float32", shape=[1], lod_level=0, name="mean.out")
block.append_op(
type="mean", inputs={"X": mul_out}, outputs={"Out": mean_out})
learning_rate = 0.01
ftrl_optimizer = self.MockFtrl(
learning_rate=learning_rate, l1=0.0, l2=0.0, lr_power=-0.5)
params_grads = append_backward(mean_out)
self.assertEqual(len(params_grads), 1)
self.assertEqual(len(ftrl_optimizer.get_accumulators()), 0)
with framework.program_guard(program, init_program):
opts = ftrl_optimizer.apply_gradients(params_grads)
self.assertEqual(len(opts), 2)
self.assertEqual([op.type for op in opts], ["scale", "ftrl"])
# Check accumulators
accumulators = ftrl_optimizer.get_accumulators()
self.assertEqual(len(accumulators), 2)
self.assertTrue(ftrl_optimizer.get_squared_str() in accumulators)
self.assertTrue(ftrl_optimizer.get_linear_str() in accumulators)
squared_acc = accumulators[ftrl_optimizer.get_squared_str()]
linear_acc = accumulators[ftrl_optimizer.get_linear_str()]
self.assertEqual(len(squared_acc), 1)
self.assertEqual(len(linear_acc), 1)
self.assertTrue(mul_x.name in squared_acc)
self.assertTrue(mul_x.name in linear_acc)
# Check init_program
init_ops = init_program.global_block().ops
self.assertEqual(len(init_ops), 3)
self.assertEqual(init_ops[0].type, "fill_constant")
self.assertAlmostEqual(init_ops[0].attr('value'), learning_rate)
class TestLookaheadOptimizer(unittest.TestCase):
def test_lookahead_optimizer(self):
init_program = framework.Program()
program = framework.Program()
block = program.global_block()
init_block = init_program.global_block()
mul_x = block.create_parameter(
dtype="float32",
shape=[5, 10],
lod_level=0,
name="mul.x",
optimize_attr={'learning_rate': 1.1})
init_mul_x = init_block.create_parameter(
dtype="float32", shape=[5, 10], lod_level=0, name="mul.x")
mul_y = block.create_var(
dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
mul_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
mean_out = block.create_var(
dtype="float32", shape=[1], lod_level=0, name="mean.out")
block.append_op(
type="mul",
inputs={"X": mul_x,
"Y": mul_y},
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
block.append_op(
type="mean", inputs={"X": mul_out}, outputs={"Out": mean_out})
sgd = optimizer.SGD(learning_rate=0.01)
lookahead = optimizer.LookaheadOptimizer(sgd, alpha=0.5, k=5)
with framework.program_guard(program, init_program):
opts, _ = lookahead.minimize(mean_out)
self.assertEqual(len(opts), 2)
self.assertEqual([op.type for op in opts], ["scale", "sgd"])
class TestRecomputeOptimizer(unittest.TestCase):
def net(self, return_input=False, with_dropout=False):
program = framework.Program()
block = program.global_block()
mul_x = block.create_parameter(
dtype="float32", shape=[5, 10], lod_level=0, name="mul.x")
mul_y = block.create_var(
dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
mul_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
if with_dropout == True:
mul_out_drop = block.create_var(
dtype="float32",
shape=[5, 8],
lod_level=0,
name="mul.out.dropout")
mul_out_mask = block.create_var(
dtype="uint8", shape=[5, 8], lod_level=0, name="mul.out.mask")
b1 = block.create_parameter(
dtype="float32", shape=[5, 8], lod_level=0, name="b1")
b1_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="b1_out")
b2 = block.create_parameter(
dtype="float32", shape=[5, 8], lod_level=0, name="b2")
b2_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="b2_out")
mean_out = block.create_var(
dtype="float32", shape=[1], lod_level=0, name="mean.out")
block.append_op(
type="mul",
inputs={"X": mul_x,
"Y": mul_y},
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
if with_dropout == True:
block.append_op(
type='dropout',
inputs={'X': [mul_out]},
outputs={'Out': [mul_out_drop],
'Mask': [mul_out_mask]},
attrs={'dropout_prob': 0.5, })
block.append_op(
type="elementwise_add",
inputs={"X": mul_out_drop,
"Y": b1},
outputs={"Out": b1_out})
else:
block.append_op(
type="elementwise_add",
inputs={"X": mul_out,
"Y": b1},
outputs={"Out": b1_out})
block.append_op(
type="elementwise_add",
inputs={"X": b1_out,
"Y": b2},
outputs={"Out": b2_out})
block.append_op(
type="mean", inputs={"X": b2_out}, outputs={"Out": mean_out})
if return_input == True:
return mul_x, mul_out, b1_out, b2_out, mean_out
return mul_out, b1_out, b2_out, mean_out
def test_no_checkpoint(self):
mul_out, b1_out, b2_out, mean_out = self.net()
self.assertEqual(len(mean_out.block.ops), 4)
self.assertEqual([op.type for op in mean_out.block.ops],
["mul", "elementwise_add", "elementwise_add", "mean"])
sgd_optimizer = optimizer.SGD(learning_rate=1.0)
recompute_optimizer = optimizer.RecomputeOptimizer(sgd_optimizer)
recompute_optimizer._set_checkpoints([])
opts, params_grads = recompute_optimizer.minimize(mean_out)
self.assertEqual(len(mean_out.block.ops), 12)
self.assertEqual([op.type for op in mean_out.block.ops], [
"mul", "elementwise_add", "elementwise_add", "mean",
"fill_constant", "mean_grad", "elementwise_add_grad",
"elementwise_add_grad", "mul_grad", "sgd", "sgd", "sgd"
])
def test_one_checkpoint(self):
mul_out, b1_out, b2_out, mean_out = self.net()
self.assertEqual(len(mean_out.block.ops), 4)
self.assertEqual([op.type for op in mean_out.block.ops],
["mul", "elementwise_add", "elementwise_add", "mean"])
sgd_optimizer = optimizer.SGD(learning_rate=1.0)
recompute_optimizer = optimizer.RecomputeOptimizer(sgd_optimizer)
recompute_optimizer._set_checkpoints([b1_out])
opts, params_grads = recompute_optimizer.minimize(mean_out)
self.assertEqual(len(mean_out.block.ops), 13)
self.assertEqual([op.type for op in mean_out.block.ops], [
"mul", "elementwise_add", "elementwise_add", "mean",
"fill_constant", "mean_grad", "elementwise_add_grad", "mul",
"elementwise_add_grad", "mul_grad", "sgd", "sgd", "sgd"
])
def test_str_checkpoints(self):
mul_out, b1_out, b2_out, mean_out = self.net()
self.assertEqual(len(mean_out.block.ops), 4)
self.assertEqual([op.type for op in mean_out.block.ops],
["mul", "elementwise_add", "elementwise_add", "mean"])
sgd_optimizer = optimizer.SGD(learning_rate=1.0)
recompute_optimizer = optimizer.RecomputeOptimizer(sgd_optimizer)
recompute_optimizer._set_checkpoints([b1_out.name])
opts, params_grads = recompute_optimizer.minimize(mean_out)
self.assertEqual(len(mean_out.block.ops), 13)
self.assertEqual([op.type for op in mean_out.block.ops], [
"mul", "elementwise_add", "elementwise_add", "mean",
"fill_constant", "mean_grad", "elementwise_add_grad", "mul",
"elementwise_add_grad", "mul_grad", "sgd", "sgd", "sgd"
])
def test_multi_checkpoint(self):
mul_out, b1_out, b2_out, mean_out = self.net()
self.assertEqual(len(mean_out.block.ops), 4)
self.assertEqual([op.type for op in mean_out.block.ops],
["mul", "elementwise_add", "elementwise_add", "mean"])
sgd_optimizer = optimizer.SGD(learning_rate=1.0)
recompute_optimizer = optimizer.RecomputeOptimizer(sgd_optimizer)
recompute_optimizer._set_checkpoints([mul_out, b2_out])
opts, params_grads = recompute_optimizer.minimize(mean_out)
self.assertEqual(len(mean_out.block.ops), 13)
self.assertEqual([op.type for op in mean_out.block.ops], [
"mul", "elementwise_add", "elementwise_add", "mean",
"fill_constant", "mean_grad", "elementwise_add",
"elementwise_add_grad", "elementwise_add_grad", "mul_grad", "sgd",
"sgd", "sgd"
])
def test_adjacent_checkpoint(self):
mul_out, b1_out, b2_out, mean_out = self.net()
self.assertEqual(len(mean_out.block.ops), 4)
self.assertEqual([op.type for op in mean_out.block.ops],
["mul", "elementwise_add", "elementwise_add", "mean"])
sgd_optimizer = optimizer.SGD(learning_rate=1.0)
recompute_optimizer = optimizer.RecomputeOptimizer(sgd_optimizer)
recompute_optimizer._set_checkpoints([mul_out, b1_out])
opts, params_grads = recompute_optimizer.minimize(mean_out)
self.assertEqual(len(mean_out.block.ops), 12)
self.assertEqual([op.type for op in mean_out.block.ops], [
"mul", "elementwise_add", "elementwise_add", "mean",
"fill_constant", "mean_grad", "elementwise_add_grad",
"elementwise_add_grad", "mul_grad", "sgd", "sgd", "sgd"
])
def test_out_of_order_checkpoint(self):
mul_out, b1_out, b2_out, mean_out = self.net()
self.assertEqual(len(mean_out.block.ops), 4)
self.assertEqual([op.type for op in mean_out.block.ops],
["mul", "elementwise_add", "elementwise_add", "mean"])
sgd_optimizer = optimizer.SGD(learning_rate=1.0)
recompute_optimizer = optimizer.RecomputeOptimizer(sgd_optimizer)
recompute_optimizer._set_checkpoints([b2_out, mul_out])
opts, params_grads = recompute_optimizer.minimize(mean_out)
self.assertEqual(len(mean_out.block.ops), 13)
self.assertEqual([op.type for op in mean_out.block.ops], [
"mul", "elementwise_add", "elementwise_add", "mean",
"fill_constant", "mean_grad", "elementwise_add",
"elementwise_add_grad", "elementwise_add_grad", "mul_grad", "sgd",
"sgd", "sgd"
])
def test_input_as_checkpoints(self):
mul_x, mul_out, b1_out, b2_out, mean_out = self.net(return_input=True)
self.assertEqual(len(mean_out.block.ops), 4)
self.assertEqual([op.type for op in mean_out.block.ops],
["mul", "elementwise_add", "elementwise_add", "mean"])
sgd_optimizer = optimizer.SGD(learning_rate=1.0)
recompute_optimizer = optimizer.RecomputeOptimizer(sgd_optimizer)
recompute_optimizer._set_checkpoints([mul_x, b2_out])
opts, params_grads = recompute_optimizer.minimize(mean_out)
self.assertEqual(len(mean_out.block.ops), 14)
self.assertEqual([op.type for op in mean_out.block.ops], [
"mul", "elementwise_add", "elementwise_add", "mean",
"fill_constant", "mean_grad", "mul", "elementwise_add",
"elementwise_add_grad", "elementwise_add_grad", "mul_grad", "sgd",
"sgd", "sgd"
])
def test_apply_gradients(self):
mul_out, b1_out, b2_out, mean_out = self.net()
sgd_optimizer = optimizer.SGD(learning_rate=1.0)
recompute_optimizer = optimizer.RecomputeOptimizer(sgd_optimizer)
recompute_optimizer._set_checkpoints([b1_out])
# apply backward
params_grads = recompute_optimizer.backward(
mean_out,
startup_program=None,
parameter_list=None,
no_grad_set=None)
# apply gradient
program = mean_out.block.program
with framework.program_guard(program, None):
optimize_ops = recompute_optimizer.apply_gradients(params_grads)
self.assertEqual(len(mean_out.block.ops), 13)
self.assertEqual([op.type for op in mean_out.block.ops], [
"mul", "elementwise_add", "elementwise_add", "mean",
"fill_constant", "mean_grad", "elementwise_add_grad", "mul",
"elementwise_add_grad", "mul_grad", "sgd", "sgd", "sgd"
])
def test_load(self):
mul_out, b1_out, b2_out, mean_out = self.net()
sgd_optimizer = optimizer.SGD(learning_rate=1.0)
recompute_optimizer = optimizer.RecomputeOptimizer(sgd_optimizer)
recompute_optimizer._set_checkpoints([b1_out])
try:
state_dict = {}
recompute_optimizer.load(state_dict)
except NotImplementedError as e:
self.assertEqual(
"load function is not supported by Recompute Optimizer for now",
cpt.get_exception_message(e))
def test_dropout(self):
"""
If there are dropout layers in the forward nets, we should add a
seed op
"""
mul_out, b1_out, b2_out, mean_out = self.net(with_dropout=True)
self.assertEqual(len(mean_out.block.ops), 5)
self.assertEqual(
[op.type for op in mean_out.block.ops],
["mul", "dropout", "elementwise_add", "elementwise_add", "mean"])
sgd_optimizer = optimizer.SGD(learning_rate=1.0)
recompute_optimizer = optimizer.RecomputeOptimizer(sgd_optimizer)
recompute_optimizer._set_checkpoints([b1_out])
opts, params_grads = recompute_optimizer.minimize(mean_out)
self.assertEqual(len(mean_out.block.ops), 17)
self.assertEqual([op.type for op in mean_out.block.ops], [
"mul", "seed", "dropout", "elementwise_add", "elementwise_add",
"mean", "fill_constant", "mean_grad", "elementwise_add_grad", "mul",
"dropout", "elementwise_add_grad", "dropout_grad", "mul_grad",
"sgd", "sgd", "sgd"
])
def test_dropout_with_seed(self):
"""
when we recompute a dropout op, make sure that the recomputed one
is the same as the original var.
"""
def gen_data():
return {
"x": np.random.random(size=(100, 3)).astype('float32'),
"y": np.random.randint(
2, size=(100, 1)).astype('int64')
}
def mlp(input_x, input_y):
drop_res = fluid.layers.dropout(
input_x, dropout_prob=0.5, name="dropout_with_seed_cpu")
prediction = fluid.layers.fc(input=[drop_res],
size=2,
act='softmax')
cost = fluid.layers.cross_entropy(input=prediction, label=input_y)
sum_cost = fluid.layers.reduce_mean(cost)
return drop_res, prediction, sum_cost
main_program = Program()
startup_program = Program()
scope = fluid.Scope()
with fluid.scope_guard(scope):
with program_guard(main_program, startup_program):
input_x = fluid.layers.data(
name="x", shape=[3], dtype='float32')
input_y = fluid.layers.data(name="y", shape=[1], dtype='int64')
drop_res, prediction, cost = mlp(input_x, input_y)
sgd = fluid.optimizer.Adam(learning_rate=0.01)
sgd = fluid.optimizer.RecomputeOptimizer(sgd)
sgd._set_checkpoints([prediction])
sgd.minimize(cost)
place = fluid.CPUPlace()
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())
feed_data = gen_data()
drop_vec = exe.run(feed=feed_data,
program=fluid.default_main_program(),
fetch_list=[
"dropout_with_seed_cpu.tmp_1",
"dropout_with_seed_cpu.tmp_1.subprog_0"
])
self.assertEqual(drop_vec[0].tolist(), drop_vec[1].tolist())
@unittest.skipIf(not core.is_compiled_with_cuda(),
"core is not compiled with CUDA")
class TestRecomputeOptimizerCUDA(unittest.TestCase):
def test_dropout_with_seed(self):
"""
when we recompute a dropout op, make sure that the recomputed one
is the same as the original var.
"""
def gen_data():
return {
"x": np.random.random(size=(100, 3)).astype('float32'),
"y": np.random.randint(
2, size=(100, 1)).astype('int64')
}
def mlp(input_x, input_y):
drop_res = fluid.layers.dropout(
input_x, dropout_prob=0.5, name="dropout_with_seed_gpu")
prediction = fluid.layers.fc(input=[drop_res],
size=2,
act='softmax')
cost = fluid.layers.cross_entropy(input=prediction, label=input_y)
sum_cost = fluid.layers.reduce_mean(cost)
return drop_res, prediction, sum_cost
main_program = Program()
startup_program = Program()
scope = fluid.Scope()
with fluid.scope_guard(scope):
with program_guard(main_program, startup_program):
input_x = fluid.layers.data(
name="x", shape=[3], dtype='float32')
input_y = fluid.layers.data(name="y", shape=[1], dtype='int64')
drop_res, prediction, cost = mlp(input_x, input_y)
sgd = fluid.optimizer.Adam(learning_rate=0.01)
sgd = fluid.optimizer.RecomputeOptimizer(sgd)
sgd._set_checkpoints([prediction])
sgd.minimize(cost)
place = fluid.CUDAPlace(0)
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())
feed_data = gen_data()
drop_vec = exe.run(feed=feed_data,
program=fluid.default_main_program(),
fetch_list=[
"dropout_with_seed_gpu.tmp_1",
"dropout_with_seed_gpu.tmp_1.subprog_0"
])
self.assertEqual(drop_vec[0].tolist(), drop_vec[1].tolist())
class TestGradientMergeOptimizer(unittest.TestCase):
def net(self):
program = framework.Program()
block = program.global_block()
mul_x = block.create_parameter(
dtype="float32", shape=[5, 10], lod_level=0, name="mul.x")
mul_y = block.create_var(
dtype="float32", shape=[10, 8], lod_level=0, name="mul.y")
mul_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="mul.out")
b1 = block.create_parameter(
dtype="float32", shape=[5, 8], lod_level=0, name="b1")
b1_out = block.create_var(
dtype="float32", shape=[5, 8], lod_level=0, name="b1_out")
mean_out = block.create_var(
dtype="float32", shape=[1], lod_level=0, name="mean.out")
block.append_op(
type="mul",
inputs={"X": mul_x,
"Y": mul_y},
outputs={"Out": mul_out},
attrs={"x_num_col_dims": 1})
block.append_op(
type="elementwise_add",
inputs={"X": mul_out,
"Y": b1},
outputs={"Out": b1_out})
block.append_op(
type="mean", inputs={"X": b1_out}, outputs={"Out": mean_out})
return mean_out
def test_program_desc(self, ):
cost = self.net()
main_program = cost.block.program
init_program = framework.Program()
self.assertEqual(main_program.num_blocks, 1)
self.assertEqual(len(cost.block.ops), 3)
self.assertEqual([op.type for op in cost.block.ops],
["mul", "elementwise_add", "mean"])
opt = optimizer.SGD(learning_rate=1.0)
opt = optimizer.GradientMergeOptimizer(opt, k_steps=4)
with framework.program_guard(main_program, init_program):
ops, params_grads = opt.minimize(cost)
self.assertEqual(main_program.num_blocks, 4)
# main block
self.assertEqual(len(cost.block.ops), 17)
self.assertEqual([op.type for op in cost.block.ops], [
'mul', 'elementwise_add', 'mean', 'fill_constant', 'mean_grad',
'elementwise_add_grad', 'mul_grad', 'increment', 'fill_constant',
'fill_constant', 'elementwise_mod', 'cast', 'not_equal',
'logical_not', 'conditional_block', 'conditional_block',
'conditional_block_grad'
])
# merge block
self.assertEqual(len(main_program.block(1).ops), 2)
self.assertEqual([op.type for op in main_program.block(1).ops], [
'elementwise_add',
'elementwise_add',
])
# reset block
self.assertEqual(len(main_program.block(2).ops), 6)
self.assertEqual([op.type for op in main_program.block(2).ops], [
'elementwise_add', 'scale', 'elementwise_add', 'scale',
'fill_constant', 'fill_constant'
])
# optimize block
self.assertEqual(len(main_program.block(3).ops), 2)
self.assertEqual([op.type for op in main_program.block(3).ops],
['sgd', 'sgd'])
if __name__ == '__main__':
unittest.main()
| 43.054441 | 80 | 0.597631 | 5,418 | 45,078 | 4.723883 | 0.060724 | 0.072673 | 0.05134 | 0.030984 | 0.838751 | 0.811557 | 0.795577 | 0.779948 | 0.765453 | 0.754943 | 0 | 0.022627 | 0.279382 | 45,078 | 1,046 | 81 | 43.095602 | 0.765269 | 0.026887 | 0 | 0.725446 | 0 | 0 | 0.090207 | 0.004388 | 0 | 0 | 0 | 0 | 0.175223 | 1 | 0.053571 | false | 0 | 0.011161 | 0.018973 | 0.113839 | 0.001116 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
91da6dbd420e3254acfd0821cff6489c9d2d8c9f | 15,188 | py | Python | tests/integration/test_inline_hooks_it.py | cluesblues/okta-sdk-python | c1d839f0d8fb4a0b564b0a1f4570bc18e117e0d7 | [
"Apache-2.0"
] | null | null | null | tests/integration/test_inline_hooks_it.py | cluesblues/okta-sdk-python | c1d839f0d8fb4a0b564b0a1f4570bc18e117e0d7 | [
"Apache-2.0"
] | null | null | null | tests/integration/test_inline_hooks_it.py | cluesblues/okta-sdk-python | c1d839f0d8fb4a0b564b0a1f4570bc18e117e0d7 | [
"Apache-2.0"
] | 1 | 2022-01-19T09:29:14.000Z | 2022-01-19T09:29:14.000Z | import pytest
from tests.mocks import MockOktaClient
import okta.models as models
from http import HTTPStatus
from okta.errors.okta_api_error import OktaAPIError
class TestInlineHooksResource:
"""
Integration Tests for the Inline Hooks Resource
"""
SDK_PREFIX = "python_sdk"
@pytest.mark.vcr()
@pytest.mark.asyncio
async def test_create_get_inline_hook(self, fs):
# Instantiate Mock Client
client = MockOktaClient(fs)
# Create Inline Hook
inline_hook_model = models.InlineHook({
"name": f"{TestInlineHooksResource.SDK_PREFIX} Test Inline Hook",
"version": "1.0.0",
"type": models.InlineHookType.COM_OKTA_OAUTH_2_TOKENS_TRANSFORM,
"channel": models.InlineHookChannel({
"type": "HTTP",
"version": "1.0.0",
"config": models.InlineHookChannelConfig({
"uri": "https://www.example.com/inlineHook",
"headers": [
models.InlineHookChannelConfigHeaders({
"key": "X-Test-Header",
"value": "Test Header Value"
})
],
"authScheme": models.InlineHookChannelConfigAuthScheme({
"type": "HEADER",
"key": "Authorization",
"value": "Test-Api-Key"
})
})
})
})
created_inline_hook, _, err = await \
client.create_inline_hook(inline_hook_model)
assert err is None
assert isinstance(created_inline_hook, models.InlineHook)
assert created_inline_hook.id
assert created_inline_hook.name == inline_hook_model.name
assert created_inline_hook.channel
assert created_inline_hook.channel.config
assert created_inline_hook.channel.config.uri ==\
inline_hook_model.channel.config.uri
# Retrieve
retrieved_inline_hook, _, err = await \
client.get_inline_hook(created_inline_hook.id)
assert err is None
assert isinstance(retrieved_inline_hook, models.InlineHook)
assert retrieved_inline_hook.id == created_inline_hook.id
assert retrieved_inline_hook.name == created_inline_hook.name
# Deactivate & Delete
deactivated_inline_hook, _, err = await \
client.deactivate_inline_hook(created_inline_hook.id)
assert err is None
assert isinstance(deactivated_inline_hook, models.InlineHook)
assert deactivated_inline_hook.status == "INACTIVE"
_, err = await client.delete_inline_hook(created_inline_hook.id)
assert err is None
@pytest.mark.vcr()
@pytest.mark.asyncio
async def test_update_inline_hook(self, fs):
# Instantiate Mock Client
client = MockOktaClient(fs)
# Create Inline Hook
inline_hook_model = models.InlineHook({
"name": f"{TestInlineHooksResource.SDK_PREFIX} Test Inline Hook",
"version": "1.0.0",
"type": models.InlineHookType.COM_OKTA_OAUTH_2_TOKENS_TRANSFORM,
"channel": models.InlineHookChannel({
"type": "HTTP",
"version": "1.0.0",
"config": models.InlineHookChannelConfig({
"uri": "https://www.example.com/inlineHook",
"headers": [
models.InlineHookChannelConfigHeaders({
"key": "X-Test-Header",
"value": "Test Header Value"
})
],
"authScheme": models.InlineHookChannelConfigAuthScheme({
"type": "HEADER",
"key": "Authorization",
"value": "Test-Api-Key"
})
})
})
})
created_inline_hook, _, err = await \
client.create_inline_hook(inline_hook_model)
assert err is None
assert isinstance(created_inline_hook, models.InlineHook)
assert created_inline_hook.id
assert created_inline_hook.name == inline_hook_model.name
assert created_inline_hook.channel
assert created_inline_hook.channel.config
assert created_inline_hook.channel.config.uri ==\
inline_hook_model.channel.config.uri
# Update
updated_inline_hook_model = models.InlineHook({
"name": inline_hook_model.name + "UPDATE",
"version": "1.0.0",
"type": models.InlineHookType.COM_OKTA_OAUTH_2_TOKENS_TRANSFORM,
"channel": models.InlineHookChannel({
"type": "HTTP",
"version": "1.0.0",
"config": models.InlineHookChannelConfig({
"uri": inline_hook_model.channel.config.uri + "UPDATE",
"headers": [
models.InlineHookChannelConfigHeaders({
"key": "X-Test-Header",
"value": "Test Header Value UPDATE"
})
],
"authScheme": models.InlineHookChannelConfigAuthScheme({
"type": "HEADER",
"key": "Authorization",
"value": "Test-Api-Key-UPDATE"
})
})
})
})
updated_inline_hook, _, err = await \
client.update_inline_hook(
created_inline_hook.id, updated_inline_hook_model)
assert err is None
assert updated_inline_hook.id == created_inline_hook.id
assert updated_inline_hook.name == updated_inline_hook_model.name
assert updated_inline_hook.channel.config.uri == \
updated_inline_hook_model.channel.config.uri
# Retrieve
retrieved_inline_hook, _, err = await \
client.get_inline_hook(created_inline_hook.id)
assert err is None
assert isinstance(retrieved_inline_hook, models.InlineHook)
assert retrieved_inline_hook.id == created_inline_hook.id
assert retrieved_inline_hook.name == updated_inline_hook.name
assert retrieved_inline_hook.version == created_inline_hook.version
assert retrieved_inline_hook.type ==\
models.InlineHookType.COM_OKTA_OAUTH_2_TOKENS_TRANSFORM
assert retrieved_inline_hook.channel.config.uri ==\
updated_inline_hook.channel.config.uri
# Deactivate & Delete
deactivated_inline_hook, _, err = await \
client.deactivate_inline_hook(created_inline_hook.id)
assert err is None
assert isinstance(deactivated_inline_hook, models.InlineHook)
assert deactivated_inline_hook.status == "INACTIVE"
_, err = await client.delete_inline_hook(created_inline_hook.id)
assert err is None
@pytest.mark.vcr()
@pytest.mark.asyncio
async def test_delete_inline_hook(self, fs):
# Instantiate Mock Client
client = MockOktaClient(fs)
# Create Inline Hook
inline_hook_model = models.InlineHook({
"name": f"{TestInlineHooksResource.SDK_PREFIX} Test Inline Hook",
"version": "1.0.0",
"type": models.InlineHookType.COM_OKTA_OAUTH_2_TOKENS_TRANSFORM,
"channel": models.InlineHookChannel({
"type": "HTTP",
"version": "1.0.0",
"config": models.InlineHookChannelConfig({
"uri": "https://www.example.com/inlineHook",
"headers": [
models.InlineHookChannelConfigHeaders({
"key": "X-Test-Header",
"value": "Test Header Value"
})
],
"authScheme": models.InlineHookChannelConfigAuthScheme({
"type": "HEADER",
"key": "Authorization",
"value": "Test-Api-Key"
})
})
})
})
created_inline_hook, _, err = await \
client.create_inline_hook(inline_hook_model)
assert err is None
assert isinstance(created_inline_hook, models.InlineHook)
assert created_inline_hook.id
assert created_inline_hook.name == inline_hook_model.name
assert created_inline_hook.channel
assert created_inline_hook.channel.config
assert created_inline_hook.channel.config.uri ==\
inline_hook_model.channel.config.uri
# Deactivate & Delete
deactivated_inline_hook, _, err = await \
client.deactivate_inline_hook(created_inline_hook.id)
assert err is None
assert isinstance(deactivated_inline_hook, models.InlineHook)
assert deactivated_inline_hook.status == "INACTIVE"
_, err = await client.delete_inline_hook(created_inline_hook.id)
assert err is None
# Retrieve
retrieved_inline_hook, resp, err = await \
client.get_inline_hook(created_inline_hook.id)
assert err is not None
assert isinstance(err, OktaAPIError)
assert resp.get_status() == HTTPStatus.NOT_FOUND
assert retrieved_inline_hook is None
@pytest.mark.vcr()
@pytest.mark.asyncio
async def test_activate_deactivate_inline_hook(self, fs):
# Instantiate Mock Client
client = MockOktaClient(fs)
# Create Inline Hook
inline_hook_model = models.InlineHook({
"name": f"{TestInlineHooksResource.SDK_PREFIX} Test Inline Hook",
"version": "1.0.0",
"type": models.InlineHookType.COM_OKTA_OAUTH_2_TOKENS_TRANSFORM,
"channel": models.InlineHookChannel({
"type": "HTTP",
"version": "1.0.0",
"config": models.InlineHookChannelConfig({
"uri": "https://www.example.com/inlineHook",
"headers": [
models.InlineHookChannelConfigHeaders({
"key": "X-Test-Header",
"value": "Test Header Value"
})
],
"authScheme": models.InlineHookChannelConfigAuthScheme({
"type": "HEADER",
"key": "Authorization",
"value": "Test-Api-Key"
})
})
})
})
created_inline_hook, _, err = await \
client.create_inline_hook(inline_hook_model)
assert err is None
assert isinstance(created_inline_hook, models.InlineHook)
assert created_inline_hook.id
assert created_inline_hook.name == inline_hook_model.name
assert created_inline_hook.channel
assert created_inline_hook.channel.config
assert created_inline_hook.channel.config.uri ==\
inline_hook_model.channel.config.uri
assert created_inline_hook.status == "ACTIVE"
# Deactivate
deactivated_inline_hook, _, err = await \
client.deactivate_inline_hook(created_inline_hook.id)
assert err is None
assert isinstance(deactivated_inline_hook, models.InlineHook)
assert deactivated_inline_hook.status == "INACTIVE"
# Retrieve
retrieved_inline_hook, _, err = await \
client.get_inline_hook(created_inline_hook.id)
assert err is None
assert retrieved_inline_hook.status == "INACTIVE"
# Activate
activated_inline_hook, _, err = await \
client.activate_inline_hook(created_inline_hook.id)
assert err is None
assert isinstance(activated_inline_hook, models.InlineHook)
assert activated_inline_hook.status == "ACTIVE"
# Retrieve
retrieved_inline_hook, _, err = await \
client.get_inline_hook(created_inline_hook.id)
assert err is None
assert retrieved_inline_hook.status == "ACTIVE"
# Delete & Deactivate
_, _, err = await \
client.deactivate_inline_hook(created_inline_hook.id)
assert err is None
_, err = await client.delete_inline_hook(created_inline_hook.id)
assert err is None
@pytest.mark.vcr()
@pytest.mark.asyncio
async def test_list_inline_hooks(self, fs):
# Instantiate Mock Client
client = MockOktaClient(fs)
# Create Inline Hooks
NUMBER_OF_HOOKS = 3
created_inline_hooks = []
for index in range(NUMBER_OF_HOOKS):
inline_hook_model = models.InlineHook({
"name": f"{TestInlineHooksResource.SDK_PREFIX} IH{index}",
"version": "1.0.0",
"type": models.InlineHookType.
COM_OKTA_OAUTH_2_TOKENS_TRANSFORM,
"channel": models.InlineHookChannel({
"type": "HTTP",
"version": "1.0.0",
"config": models.InlineHookChannelConfig({
"uri": "https://www.example.com/inlineHook",
"headers": [
models.InlineHookChannelConfigHeaders({
"key": "X-Test-Header",
"value": f"Test Header {index}"
})
],
"authScheme": models.
InlineHookChannelConfigAuthScheme({
"type": "HEADER",
"key": "Authorization",
"value": f"Test-Api-Key-{index}"
})
})
})
})
created_inline_hook, _, err = await \
client.create_inline_hook(inline_hook_model)
assert err is None
assert isinstance(created_inline_hook, models.InlineHook)
assert created_inline_hook.id
assert created_inline_hook.name == inline_hook_model.name
assert created_inline_hook.channel
assert created_inline_hook.channel.config
assert created_inline_hook.channel.config.uri ==\
inline_hook_model.channel.config.uri
created_inline_hooks.append(created_inline_hook.id)
# List
all_inline_hooks, _, err = await client.list_inline_hooks()
assert err is None
assert isinstance(all_inline_hooks, list)
for inline_hook_id in created_inline_hooks:
assert next((ih for ih in all_inline_hooks
if ih.id == inline_hook_id))
# Deactivate & Delete
for inline_hook_id in created_inline_hooks:
_, _, err = await \
client.deactivate_inline_hook(inline_hook_id)
assert err is None
_, err = await client.delete_inline_hook(inline_hook_id)
assert err is None
| 40.938005 | 77 | 0.572426 | 1,458 | 15,188 | 5.680384 | 0.072702 | 0.195605 | 0.119053 | 0.072205 | 0.881188 | 0.864405 | 0.843395 | 0.843395 | 0.802101 | 0.786284 | 0 | 0.004409 | 0.342902 | 15,188 | 370 | 78 | 41.048649 | 0.825451 | 0.029036 | 0 | 0.805825 | 0 | 0 | 0.098994 | 0.012238 | 0 | 0 | 0 | 0 | 0.271845 | 1 | 0 | false | 0 | 0.016181 | 0 | 0.022654 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
37dae7537ef33aa33c1d2ecc25a65a657175869a | 153 | py | Python | django_tenants/tests/__init__.py | OmenApps/django-tenants | d00ce52d2fefcb16ec54cec01a282351ca7297d5 | [
"MIT"
] | 1 | 2019-04-20T13:37:12.000Z | 2019-04-20T13:37:12.000Z | django_tenants/tests/__init__.py | OmenApps/django-tenants | d00ce52d2fefcb16ec54cec01a282351ca7297d5 | [
"MIT"
] | null | null | null | django_tenants/tests/__init__.py | OmenApps/django-tenants | d00ce52d2fefcb16ec54cec01a282351ca7297d5 | [
"MIT"
] | null | null | null | from .test_routes import *
from .test_tenants import *
from .test_cache import *
from .test_static_files import *
from .test_filesystem_storage import *
| 25.5 | 38 | 0.803922 | 22 | 153 | 5.272727 | 0.454545 | 0.344828 | 0.482759 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130719 | 153 | 5 | 39 | 30.6 | 0.87218 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
5350f53348969e4f70b59a078342356b974684d0 | 5,479 | py | Python | apiTool.py | drogomarks/heimdallv2 | 960260d0d238811bc7b4e0402aaa2498ee0bdb30 | [
"MIT"
] | null | null | null | apiTool.py | drogomarks/heimdallv2 | 960260d0d238811bc7b4e0402aaa2498ee0bdb30 | [
"MIT"
] | null | null | null | apiTool.py | drogomarks/heimdallv2 | 960260d0d238811bc7b4e0402aaa2498ee0bdb30 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import base64
import hashlib
import time
import requests
import json
import config
# Get Keys & Set User Agent
usrkey = config.usrkey
scrtkey = config.scrtkey
usr_agent = config.usr_agent
# Get Date/Time: YYYYMMDDHHmmss
tm_stmp = time.strftime("%Y%m%d%H%M%S")
# Hash: <User Key><User Agent><Timestamp><Secret Key>
hash_str = usrkey + usr_agent + tm_stmp + scrtkey
# Get the hash
sha1 = base64.b64encode(hashlib.sha1(hash_str).digest())
# Create API Signature
api_sig = usrkey + ":" + tm_stmp + ":" + sha1
# Base URL/Headers
base_url = "https://api.emailsrvr.com/v1/customers/"
headers = {"Accept":"application/json", "User-Agent" : "MigFwdTool", "X-Api-Signature" : api_sig}
def user_get(cst_id, domain, mbx_type, user):
# Set Mailbox Type key for dict
if mbx_type == 'rs':
mbx_key = 'rsMailboxes'
else:
mbx_key = 'mailboxes'
url = base_url + cst_id + "/domains/" + domain + "/" + mbx_type + "/mailboxes/" + user
request = requests.get(url, headers=headers)
data = request.json()
data = json.dumps(data, indent=4, sort_keys=True)
return data
def domain_get(cst_id, domain, mbx_type):
# Set Mailbox Type key for dict
if mbx_type == 'rs':
mbx_key = 'rsMailboxes'
else:
mbx_key = 'mailboxes'
url = base_url + cst_id + "/domains/" + domain
request = requests.get(url, headers=headers)
data = request.json()
data = json.dumps(data, indent=4, sort_keys=True)
return data
def mbx_get_list(cst_id, domain, mbx_type):
# Set Mailbox Type key for dict
if mbx_type == 'rs':
mbx_key = 'rsMailboxes'
else:
mbx_key = 'mailboxes'
# offset value/url string
off_val = 0
off_str = "&offset=%s" % off_val
# size value/url string
sz_val= 50
sz_str = "?size=%s" % sz_val
url = base_url + cst_id + "/domains/" + domain + "/" + mbx_type + "/mailboxes" + sz_str + off_str
request = requests.get(url, headers=headers)
data = request.json()
mbx_total = data['total']
# Empty list for mailboxes
global mailboxes
mailboxes = []
# Offset Val variable to start at 0
off_val = -50
# While the offset value is less than the total mbx
while mbx_total > off_val:
# Set off value to self + the size value
off_val += sz_val
off_str = "&offset=%s" % off_val
# Construct URL and make call
url = base_url + cst_id + "/domains/" + domain + "/" + mbx_type + "/mailboxes" + sz_str + off_str
request = requests.get(url, headers=headers)
data = request.json()
# Add Users to Mailbox list
for key in data[mbx_key]:
mbx_usr = key['name']
mbx_usr.encode("utf-8")
mailboxes.append(mbx_usr)
mailboxes = json.dumps(mailboxes, indent=4, sort_keys=True)
return mailboxes
def mbx_get(cst_id, domain, mbx_type):
# Set Mailbox Type key for dict
if mbx_type == 'rs':
mbx_key = 'rsMailboxes'
else:
mbx_key = 'mailboxes'
# offset value/url string
off_val = 0
off_str = "&offset=%s" % off_val
# size value/url string
sz_val= 50
sz_str = "?size=%s" % sz_val
url = base_url + cst_id + "/domains/" + domain + "/" + mbx_type + "/mailboxes" + sz_str + off_str
request = requests.get(url, headers=headers)
data = request.json()
mbx_total = data['total']
# Empty list for mailboxes
global mailboxes
mailboxes = []
# Offset Val variable to start at 0
off_val = -50
# While the offset value is less than the total mbx
while mbx_total > off_val:
# Set off value to self + the size value
off_val += sz_val
off_str = "&offset=%s" % off_val
# Construct URL and make call
url = base_url + cst_id + "/domains/" + domain + "/" + mbx_type + "/mailboxes" + sz_str + off_str
request = requests.get(url, headers=headers)
data = request.json()
# Add Users to Mailbox list
for key in data[mbx_key]:
mbx_usr = key['name']
mbx_usr.encode("utf-8")
mailboxes.append(mbx_usr)
return mailboxes
def user_vex(cst_id, domain, mbx_type, user, user_vex_val):
# Set Mailbox Type key for dict
if mbx_type == 'rs':
mbx_key = 'rsMailboxes'
else:
mbx_key = 'mailboxes'
payload = {'visibleInExchangeGAL' : user_vex_val }
url = base_url + cst_id + "/domains/" + domain + "/" + mbx_type + "/mailboxes/" + user
request = requests.put(url, headers=headers, data=payload)
return "User: '%s' visibleInExchangeGAL has been set to %s" % (user, user_vex_val)
def domain_vex(cst_id, domain, mbx_type, domain_vex_val):
# Set Mailbox Type key for dict
if mbx_type == 'rs':
mbx_key = 'rsMailboxes'
else:
mbx_key = 'mailboxes'
payload = {'visibleInExchangeGAL' : domain_vex_val }
mbx_get(cst_id, domain, mbx_type)
progress = []
for user in mailboxes:
url = base_url + cst_id + "/domains/" + domain + "/" + mbx_type + "/mailboxes/" + user
request = requests.put(url, headers=headers, data=payload)
current_prog = "%s has been updated to %s" % (user, domain_vex_val)
print current_prog
progress.append(current_prog)
return progress
| 33.408537 | 107 | 0.606863 | 739 | 5,479 | 4.315291 | 0.163735 | 0.043901 | 0.057071 | 0.032612 | 0.751019 | 0.751019 | 0.720916 | 0.712449 | 0.712449 | 0.712449 | 0 | 0.006834 | 0.278883 | 5,479 | 163 | 108 | 33.613497 | 0.800304 | 0.15605 | 0 | 0.710526 | 0 | 0 | 0.1338 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.052632 | null | null | 0.008772 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
535da048b0306ccff8548afc3c44ddbc2e57bc8b | 352 | py | Python | devices/cisco/__init__.py | Dom932/device-bug-checker | f1b04813ac4bddc07cc0c3ce62640246fcaaf34f | [
"MIT"
] | null | null | null | devices/cisco/__init__.py | Dom932/device-bug-checker | f1b04813ac4bddc07cc0c3ce62640246fcaaf34f | [
"MIT"
] | null | null | null | devices/cisco/__init__.py | Dom932/device-bug-checker | f1b04813ac4bddc07cc0c3ce62640246fcaaf34f | [
"MIT"
] | null | null | null | from devices.cisco.base_cisco import BaseCisco
from devices.cisco.cisco_ios import CiscoIOS
from devices.cisco.cisco_ios_telnet import CiscoIOSTelnet
from devices.cisco.cisco_ios_ssh_telnet import CiscoIOSSSHTelnet
from devices.cisco.cisco_wlc import CiscoWLC
from devices.cisco.cisco_asa import CiscoASA
from devices.cisco.cisco_nxos import CiscoNXOS
| 44 | 64 | 0.880682 | 52 | 352 | 5.769231 | 0.346154 | 0.256667 | 0.373333 | 0.42 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.079545 | 352 | 7 | 65 | 50.285714 | 0.925926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
536093bd35bdd159a5fc03e427dc3d29c92817ae | 35 | py | Python | python_practice/line.py | ccom33/python_practice | 9a3551610c46b0bae15542575033e8ed7e967289 | [
"MIT"
] | null | null | null | python_practice/line.py | ccom33/python_practice | 9a3551610c46b0bae15542575033e8ed7e967289 | [
"MIT"
] | null | null | null | python_practice/line.py | ccom33/python_practice | 9a3551610c46b0bae15542575033e8ed7e967289 | [
"MIT"
] | null | null | null | def line():
print("#","-"*50)
| 8.75 | 21 | 0.4 | 4 | 35 | 3.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.074074 | 0.228571 | 35 | 3 | 22 | 11.666667 | 0.444444 | 0 | 0 | 0 | 0 | 0 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | true | 0 | 0 | 0 | 0.5 | 0.5 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
726392e8cf51f053a8aaa85efb4b4ab97dbc9108 | 208 | py | Python | python/getalp/wsd/optim/scheduler_fixed.py | getalp/disambiguate-translate | 38ef754c786ded085d184633b21acc607902c098 | [
"MIT"
] | 53 | 2019-02-12T15:40:22.000Z | 2022-03-30T16:54:22.000Z | python/getalp/wsd/optim/scheduler_fixed.py | getalp/disambiguate-translate | 38ef754c786ded085d184633b21acc607902c098 | [
"MIT"
] | 21 | 2019-06-11T15:21:17.000Z | 2022-02-05T11:53:38.000Z | python/getalp/wsd/optim/scheduler_fixed.py | getalp/disambiguate-translate | 38ef754c786ded085d184633b21acc607902c098 | [
"MIT"
] | 19 | 2019-05-26T10:23:41.000Z | 2021-12-06T04:43:08.000Z |
class SchedulerFixed(object):
def __init__(self, fixed_lr: float):
super().__init__()
self.fixed_lr = fixed_lr
def get_learning_rate(self, step: int):
return self.fixed_lr
| 18.909091 | 43 | 0.649038 | 27 | 208 | 4.481481 | 0.592593 | 0.231405 | 0.272727 | 0.247934 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 208 | 10 | 44 | 20.8 | 0.775641 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.166667 | 0.666667 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
7293a2ba29b443a5acb51e16875eb3e69cac88b8 | 4,064 | py | Python | test/scenarios/mixed-reality/output/ext_Incremental/src/mixed-reality/azext_mixed_reality/generated/custom.py | necusjz/autorest.az | 08dd5d35bd7f54f306917d0f1dfa1be4520c4059 | [
"MIT"
] | null | null | null | test/scenarios/mixed-reality/output/ext_Incremental/src/mixed-reality/azext_mixed_reality/generated/custom.py | necusjz/autorest.az | 08dd5d35bd7f54f306917d0f1dfa1be4520c4059 | [
"MIT"
] | null | null | null | test/scenarios/mixed-reality/output/ext_Incremental/src/mixed-reality/azext_mixed_reality/generated/custom.py | necusjz/autorest.az | 08dd5d35bd7f54f306917d0f1dfa1be4520c4059 | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
# pylint: disable=too-many-lines
import json
def spatial_anchors_account_regenerate_key(client,
resource_group_name,
account_name,
serial=None):
regenerate = {}
if serial is not None:
regenerate['serial'] = serial
else:
regenerate['serial'] = 1
return client.regenerate_keys(resource_group_name=resource_group_name,
account_name=account_name,
regenerate=regenerate)
def remote_rendering_account_list(client,
resource_group_name=None):
if resource_group_name:
return client.list_by_resource_group(resource_group_name=resource_group_name)
return client.list_by_subscription()
def remote_rendering_account_show(client,
resource_group_name,
account_name):
return client.get(resource_group_name=resource_group_name,
account_name=account_name)
def remote_rendering_account_create(client,
resource_group_name,
account_name,
location,
tags=None):
remote_rendering_account = {}
if tags is not None:
remote_rendering_account['tags'] = tags
remote_rendering_account['location'] = location
remote_rendering_account['identity'] = json.loads("{\"type\": \"SystemAssigned\"}")
return client.create(resource_group_name=resource_group_name,
account_name=account_name,
remote_rendering_account=remote_rendering_account)
def remote_rendering_account_update(client,
resource_group_name,
account_name,
location,
tags=None):
remote_rendering_account = {}
if tags is not None:
remote_rendering_account['tags'] = tags
remote_rendering_account['location'] = location
remote_rendering_account['identity'] = json.loads("{\"type\": \"SystemAssigned\"}")
return client.update(resource_group_name=resource_group_name,
account_name=account_name,
remote_rendering_account=remote_rendering_account)
def remote_rendering_account_delete(client,
resource_group_name,
account_name):
return client.delete(resource_group_name=resource_group_name,
account_name=account_name)
def remote_rendering_account_list_key(client,
resource_group_name,
account_name):
return client.list_keys(resource_group_name=resource_group_name,
account_name=account_name)
def remote_rendering_account_regenerate_key(client,
resource_group_name,
account_name,
serial=None):
regenerate = {}
if serial is not None:
regenerate['serial'] = serial
else:
regenerate['serial'] = 1
return client.regenerate_keys(resource_group_name=resource_group_name,
account_name=account_name,
regenerate=regenerate)
| 41.050505 | 87 | 0.54503 | 360 | 4,064 | 5.791667 | 0.211111 | 0.16211 | 0.203837 | 0.161151 | 0.801439 | 0.785612 | 0.777458 | 0.742446 | 0.676259 | 0.676259 | 0 | 0.00077 | 0.36122 | 4,064 | 98 | 88 | 41.469388 | 0.802388 | 0.11565 | 0 | 0.746479 | 0 | 0 | 0.021211 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.112676 | false | 0 | 0.014085 | 0.042254 | 0.253521 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
f423ec330a9df0d91892e1b2fcf46389dde5dcf7 | 175 | py | Python | loldib/getratings/models/NA/na_missfortune/__init__.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_missfortune/__init__.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_missfortune/__init__.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | from .na_missfortune_top import *
from .na_missfortune_jng import *
from .na_missfortune_mid import *
from .na_missfortune_bot import *
from .na_missfortune_sup import *
| 29.166667 | 34 | 0.8 | 25 | 175 | 5.2 | 0.36 | 0.230769 | 0.653846 | 0.707692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 175 | 5 | 35 | 35 | 0.866667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
f43e202d11983a6b9d86a03c926b7a4a9a75f6ab | 12,760 | py | Python | users/tests.py | coma64/kaffee-kasse-backend | a898caa068cd82d223161fa62a0561f75333d50e | [
"MIT"
] | null | null | null | users/tests.py | coma64/kaffee-kasse-backend | a898caa068cd82d223161fa62a0561f75333d50e | [
"MIT"
] | null | null | null | users/tests.py | coma64/kaffee-kasse-backend | a898caa068cd82d223161fa62a0561f75333d50e | [
"MIT"
] | null | null | null | from contextlib import contextmanager
from decimal import Decimal
from typing import Iterator
from django.contrib.auth.models import User
from rest_framework import status
from rest_framework.authtoken.models import Token
from rest_framework.test import APITestCase
@contextmanager
def token_auth(test: APITestCase, token: str) -> Iterator[None]:
old_creds = test.client._credentials
test.client.credentials(HTTP_AUTHORIZATION='Token ' + token)
yield
test.client.credentials(**old_creds)
class UsersTest(APITestCase):
password: str
user1: User
user2: User
staff: User
user1_token: str
staff_token: str
api_uri = '/api/users'
@classmethod
def setUpTestData(cls) -> None:
cls.password = '12341324'
cls.user1 = User.objects.create_user(username='erni', password=cls.password)
cls.user2 = User.objects.create_user(username='ducky', password=cls.password)
cls.staff = User.objects.create_superuser(
username='staff', password=cls.password
)
cls.user1_token = Token.objects.get(user=cls.user1).key
cls.staff_token = Token.objects.get(user=cls.staff).key
@property
def user1_uri(self) -> str:
return f'{self.api_uri}/{self.user1.id}/'
@property
def user2_uri(self) -> str:
return f'{self.api_uri}/{self.user2.id}/'
def test_me_endpoint(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.get(f'{self.api_uri}/me/')
self.assertEqual(response.data['id'], self.user1.id)
def test_token_auth(self) -> None:
response = self.client.post(
'/api-token-auth/',
{'username': self.user1.username, 'password': self.password},
)
self.assertEqual(response.status_code, 200)
self.assertIn('token', response.data)
def test_anyone_can_create(self) -> None:
response = self.client.post(
f'{self.api_uri}/',
{'username': 'bert', 'password': self.password},
format='json',
)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
def test_can_set_profile_fields_on_user_create(self) -> None:
response = self.client.post(
f'{self.api_uri}/',
{
'username': 'bert',
'password': self.password,
'profile': {'bio': 'hi there'},
},
format='json',
)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
def test_users_can_list_and_retrieve_all_users(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.get(f'{self.api_uri}/')
self.assertEqual(response.status_code, status.HTTP_200_OK)
response = self.client.get(self.user2_uri)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_users_cant_update_or_delete_other_users(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.put(
self.user2_uri, {'username': 'otto'}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
response = self.client.patch(
self.user2_uri, {'username': 'otto'}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
response = self.client.delete(self.user2_uri)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_users_can_update_and_delete_themselves(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.put(
self.user1_uri,
{'username': 'otto', 'password': self.password},
format='json',
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
response = self.client.patch(
self.user1_uri, {'username': 'bernd'}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
response = self.client.delete(self.user1_uri)
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
# Restore user
self.user1.save()
def test_staff_has_full_access(self) -> None:
with token_auth(self, self.staff_token):
response = self.client.put(
self.user1_uri,
{'username': 'otto', 'password': self.password},
format='json',
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
response = self.client.patch(
self.user1_uri, {'username': 'bernd'}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
response = self.client.delete(self.user1_uri)
self.assertEqual(response.status_code, status.HTTP_204_NO_CONTENT)
# Restore user
self.user1.save()
def test_is_staff_query(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.get(f'{self.api_uri}/?is_staff=1')
self.assertEqual(response.status_code, status.HTTP_200_OK)
for user in response.data:
self.assertTrue(user['is_staff'])
response = self.client.get(f'{self.api_uri}/?is_staff=0')
self.assertEqual(response.status_code, status.HTTP_200_OK)
for user in response.data:
self.assertFalse(user['is_staff'])
def test_is_staff_query_ignores_wrong_type(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.get(f'{self.api_uri}/?is_staff=has-to-be-0-or-1')
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_username_query(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.get(f'{self.api_uri}/?username=er')
self.assertEqual(response.status_code, status.HTTP_200_OK)
for user in response.data:
self.assertIn('er', user['username'].lower())
class ProfilesTest(APITestCase):
password: str
user1: User
user2: User
staff: User
user1_token: str
staff_token: str
api_uri = '/api/profiles'
@classmethod
def setUpTestData(cls) -> None:
cls.password = '12341234'
cls.user1 = User.objects.create_user(username='erni', password=cls.password)
cls.user1.profile.bio = 'hi there'
cls.user2 = User.objects.create_user(username='ducky', password=cls.password)
cls.user2.profile.bio = 'hello'
cls.staff = User.objects.create_superuser(
username='staff', password=cls.password
)
cls.user1_token = Token.objects.get(user=cls.user1).key
cls.staff_token = Token.objects.get(user=cls.staff).key
@property
def profile1_uri(self) -> str:
return f'{self.api_uri}/{self.user1.id}/'
@property
def profile2_uri(self) -> str:
return f'{self.api_uri}/{self.user2.id}/'
def test_no_one_can_create_or_destroy_profiles(self) -> None:
with token_auth(self, self.staff_token):
response = self.client.post(f'{self.api_uri}/')
self.assertEqual(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED)
response = self.client.delete(self.profile1_uri)
self.assertEqual(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED)
def test_users_can_update_their_bio(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.put(
self.profile1_uri, {'bio': 'new bio'}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
response = self.client.patch(
self.profile1_uri, {'bio': 'another bio'}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_users_cant_update_balance(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.put(
self.profile1_uri, {'balance': '22.22'}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
response = self.client.patch(
self.profile1_uri, {'balance': '22.22'}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_users_cant_update_is_freeloader(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.put(
self.profile1_uri, {'is_freeloader': True}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
response = self.client.patch(
self.profile1_uri, {'is_freeloader': True}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_staff_can_update_balance(self) -> None:
with token_auth(self, self.staff_token):
response = self.client.put(
self.profile1_uri, {'balance': '22.22'}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
response = self.client.patch(
self.profile1_uri, {'balance': '22.22'}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_staff_can_update_is_freeloader(self) -> None:
with token_auth(self, self.staff_token):
response = self.client.put(
self.profile1_uri, {'is_freeloader': True}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
response = self.client.patch(
self.profile1_uri, {'is_freeloader': True}, format='json'
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_users_cant_access_add_balance(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.patch(
f'{self.api_uri}/{self.user1.id}/add-balance/',
{'balance': '12.34'},
format='json',
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
def test_staff_can_access_add_balance(self) -> None:
with token_auth(self, self.staff_token):
response = self.client.patch(
f'{self.api_uri}/{self.user1.id}/add-balance/',
{'balance': '12.34'},
format='json',
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_add_balance(self) -> None:
with token_auth(self, self.staff_token):
self.user1.refresh_from_db()
previous_balance = self.user1.profile.balance
response = self.client.patch(
f'{self.api_uri}/{self.user1.id}/add-balance/',
{'balance': '12.34'},
format='json',
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.user1.refresh_from_db()
new_balance = self.user1.profile.balance
self.assertEqual(new_balance, previous_balance + Decimal('12.34'))
def test_is_freeloader_query(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.get(f'{self.api_uri}/?is_freeloader=1')
self.assertEqual(response.status_code, status.HTTP_200_OK)
for user in response.data:
self.assertTrue(user['is_freeloader'])
response = self.client.get(f'{self.api_uri}/?is_freeloader=0')
self.assertEqual(response.status_code, status.HTTP_200_OK)
for user in response.data:
self.assertFalse(user['is_freeloader'])
def test_is_freeloader_query_ignores_wrong_type(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.get(
f'{self.api_uri}/?is_freeloader=has-to-be-0-or-1'
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_bio_query(self) -> None:
with token_auth(self, self.user1_token):
response = self.client.get(f'{self.api_uri}/?bio=hi')
self.assertEqual(response.status_code, status.HTTP_200_OK)
for user in response.data:
self.assertIn('hi', user['bio'].lower())
| 38.203593 | 86 | 0.617712 | 1,532 | 12,760 | 4.917755 | 0.093995 | 0.077648 | 0.090788 | 0.142421 | 0.864746 | 0.826254 | 0.822272 | 0.810327 | 0.809796 | 0.808999 | 0 | 0.025285 | 0.265439 | 12,760 | 333 | 87 | 38.318318 | 0.778513 | 0.001959 | 0 | 0.588015 | 0 | 0 | 0.091109 | 0.039507 | 0 | 0 | 0 | 0 | 0.172285 | 1 | 0.11236 | false | 0.05618 | 0.026217 | 0.014981 | 0.213483 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 7 |
f47ea373770e07eb5e04c9bb153b6262a5cd6d6a | 130 | py | Python | Module01/bmi-calculator.py | geiyer/cis189-python | 2b85ff66277b337aab9f6a7a6fa1c86dccf0178c | [
"MIT"
] | 2 | 2021-02-24T00:32:36.000Z | 2021-04-21T00:09:36.000Z | Module01/bmi-calculator.py | geiyer/cis189-python | 2b85ff66277b337aab9f6a7a6fa1c86dccf0178c | [
"MIT"
] | null | null | null | Module01/bmi-calculator.py | geiyer/cis189-python | 2b85ff66277b337aab9f6a7a6fa1c86dccf0178c | [
"MIT"
] | 2 | 2021-03-30T23:37:49.000Z | 2021-04-21T00:08:32.000Z | # height = 1.8
# weight = 72
# bmi = weight/height ** 2
# print(bmi)
height = 1.8
weight = 72
bmi = weight/height ** 2
print(bmi) | 14.444444 | 26 | 0.615385 | 22 | 130 | 3.636364 | 0.363636 | 0.175 | 0.2 | 0.35 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0.098039 | 0.215385 | 130 | 9 | 27 | 14.444444 | 0.686275 | 0.461538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 1 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
be2e30a5dd54ce0a31b29ad833193c2f0e824140 | 764 | py | Python | myapp/models.py | ruxtain/matrix | 00bfaccbd1589cf513de7f690c079a537bff1d19 | [
"MIT"
] | 4 | 2019-01-09T09:42:18.000Z | 2020-11-05T03:50:54.000Z | myapp/models.py | ruxtain/matrix | 00bfaccbd1589cf513de7f690c079a537bff1d19 | [
"MIT"
] | null | null | null | myapp/models.py | ruxtain/matrix | 00bfaccbd1589cf513de7f690c079a537bff1d19 | [
"MIT"
] | null | null | null | from django.db import models
class Description(models.Model):
'''保存用户提交的描述，可以看看都是些什么人在用我的站'''
ip = models.CharField(max_length=20)
content = models.TextField()
datetime = models.DateTimeField(auto_now_add=True)
def __str__(self):
return self.content[:100]
class Feedback(models.Model):
ip = models.CharField(max_length=20)
url = models.URLField(default="")
content = models.TextField()
datetime = models.DateTimeField(auto_now_add=True)
def __str__(self):
return self.content[:100]
class Keyword(models.Model):
ip = models.CharField(max_length=20)
content = models.TextField()
datetime = models.DateTimeField(auto_now_add=True)
def __str__(self):
return self.content[:100]
| 30.56 | 54 | 0.693717 | 92 | 764 | 5.532609 | 0.358696 | 0.064833 | 0.100196 | 0.117878 | 0.776031 | 0.776031 | 0.776031 | 0.776031 | 0.6778 | 0.6778 | 0 | 0.024194 | 0.188482 | 764 | 25 | 55 | 30.56 | 0.796774 | 0.032723 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.05 | 0.15 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 |
be664c729b4b752bc5fc6308973fcdeffeea3033 | 27,999 | py | Python | test/codes_tests/test_seba.py | joshuawall/amuse | c2034074ee76c08057c4faa96c32044ab40952e9 | [
"Apache-2.0"
] | 1 | 2019-04-09T09:06:08.000Z | 2019-04-09T09:06:08.000Z | test/codes_tests/test_seba.py | joshuawall/amuse | c2034074ee76c08057c4faa96c32044ab40952e9 | [
"Apache-2.0"
] | null | null | null | test/codes_tests/test_seba.py | joshuawall/amuse | c2034074ee76c08057c4faa96c32044ab40952e9 | [
"Apache-2.0"
] | 2 | 2021-11-19T04:41:37.000Z | 2021-11-20T02:11:17.000Z | import numpy
from amuse.test.amusetest import TestWithMPI
from amuse.community.seba.interface import SeBaInterface, SeBa
from amuse.units import units
from amuse.units import constants
from amuse.datamodel import Particle
from amuse.datamodel import Particles
class TestSeBaInterface(TestWithMPI):
def test1(self):
instance = self.new_instance_of_an_optional_code(SeBaInterface)
endtime, mass, radius, luminosity, temperature, time_step, stellar_type, error = instance.evolve_star(1, 4600, 0.02)
self.assertEquals(error, 0)
self.assertTrue( endtime <= 4600.0)
self.assertAlmostRelativeEqual(endtime, 4600.0, 4)
self.assertAlmostRelativeEqual(mass, 1.0, 6)
self.assertAlmostRelativeEqual(radius, 0.9856, 4)
self.assertAlmostRelativeEqual(luminosity, 0.9585, 4)
self.assertAlmostRelativeEqual(temperature, 5751, 4)
self.assertAlmostRelativeEqual(time_step, 1089.3, 4)
self.assertEqual(stellar_type, 1)
instance.stop()
def test2(self):
instance = SeBaInterface() #self.new_instance_of_an_optional_code(SeBaInterface)
error = instance.initialize_code()
self.assertEquals(error, 0)
index,error = instance.new_particle(1.)
self.assertEquals(error, 0)
self.assertEquals(index, 1)
mass, error = instance.get_mass(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 1.0, 6)
value, error = instance.get_radius(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(value, 0.88824945029751212, 6)
stellar_type, error = instance.get_stellar_type(index)
self.assertEquals(error, 0)
self.assertEquals(stellar_type, 1)
instance.stop()
def test3(self):
instance = SeBaInterface() #self.new_instance_of_an_optional_code(SeBaInterface)
error = instance.initialize_code()
self.assertEquals(error, 0)
index,error = instance.new_particle(1.)
self.assertEquals(error, 0)
self.assertEquals(index, 1)
error = instance.evolve_model(4600)
self.assertEquals(error, 0)
mass, error = instance.get_mass(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 1.0, 6)
value, error = instance.get_radius(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(value, 0.9856, 4)
value, error = instance.get_temperature(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(value, 5751, 4)
value, error = instance.get_time_step(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(value, 1089.3, 4)
stellar_type, error = instance.get_stellar_type(index)
self.assertEquals(error, 0)
self.assertEquals(stellar_type, 1)
instance.stop()
def test4(self):
instance = SeBaInterface() #self.new_instance_of_an_optional_code(SeBaInterface)
error = instance.initialize_code()
self.assertEquals(error, 0)
index,error = instance.new_particle(1.)
self.assertEquals(error, 0)
self.assertEquals(index, 1)
for t in range(46):
error = instance.evolve_model((t+1) * 100)
self.assertEquals(error, 0)
mass, error = instance.get_mass(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 1.0, 6)
value, error = instance.get_radius(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(value, 0.9856, 4)
value, error = instance.get_temperature(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(value, 5751, 4)
value, error = instance.get_time_step(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(value, 1089.3, 4)
stellar_type, error = instance.get_stellar_type(index)
self.assertEquals(error, 0)
self.assertEquals(stellar_type, 1)
instance.stop()
def test5(self):
instance = SeBaInterface() #self.new_instance_of_an_optional_code(SeBaInterface)
error = instance.initialize_code()
self.assertEquals(error, 0)
index,error = instance.new_particle([1., 2., 3.])
self.assertEquals(error, 0)
self.assertEquals(index, [1,2,3])
mass, error = instance.get_mass(2)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 2 , 6)
mass, error = instance.get_mass(3)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 3, 6)
error = instance.evolve_model(4600)
self.assertEquals(error, 0)
mass, error = instance.get_mass(index)
print mass
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass[0], 1.0, 6)
self.assertAlmostRelativeEqual(mass[1], 0.62973, 4)
self.assertAlmostRelativeEqual(mass[2], 0.75012, 4)
instance.stop()
def test6(self):
instance = SeBaInterface() #self.new_instance_of_an_optional_code(SeBaInterface)
error = instance.initialize_code()
self.assertEquals(error, 0)
index,error = instance.new_particle([1., 2., 3.])
self.assertEquals(error, 0)
self.assertEquals(index, [1,2,3])
for t in range(46):
error = instance.evolve_model((t+1) * 100)
self.assertEquals(error, 0)
mass, error = instance.get_mass(index)
print mass
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, [1.0, 0.62973, 0.75072], 4)
instance.stop()
def test7(self):
instance = SeBaInterface() #self.new_instance_of_an_optional_code(SeBaInterface)
error = instance.initialize_code()
self.assertEquals(error, 0)
index,error = instance.new_particle([1., 2., 3.])
self.assertEquals(error, 0)
self.assertEquals(index, [1,2,3])
mass, error = instance.get_mass(2)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 2 , 6)
mass, error = instance.get_mass(3)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 3, 6)
mass, error = instance.get_mass(4)
self.assertEquals(error, -1)
error = instance.delete_star(2)
self.assertEquals(error, 0)
mass, error = instance.get_mass(2)
self.assertEquals(error, -1)
mass, error = instance.get_mass(3)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 3, 6)
index, error = instance.new_particle(4.)
self.assertEquals(error, 0)
self.assertEquals(index, 4)
instance.stop()
def test8(self):
instance = SeBaInterface() #self.new_instance_of_an_optional_code(SeBaInterface)
error = instance.initialize_code()
self.assertEquals(error, 0)
index,error = instance.new_particle([3.0,1.0,2.0])
self.assertEquals(error, 0)
self.assertEquals(index, [1,2,3])
error = instance.delete_star(1)
self.assertEquals(error, 0)
error = instance.evolve_model(4600);
mass, error = instance.get_mass(2)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 1, 6)
error = instance.delete_star(3)
self.assertEquals(error, 0)
index,error = instance.new_particle([5.0])
self.assertEquals(error, 0)
mass, error = instance.get_mass(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 5.0, 6)
error = instance.evolve_model(5000);
mass, error = instance.get_mass(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 0.99057, 4)
error = instance.delete_star(2)
self.assertEquals(error, 0)
error = instance.delete_star(index)
self.assertEquals(error, 0)
for i in range(4):
mass, error = instance.get_mass(index+1)
self.assertEquals(error, -1)
index,error = instance.new_particle([5.0])
self.assertEquals(error, 0)
error = instance.evolve_model(10000);
mass, error = instance.get_mass(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 0.99057, 4)
instance.stop()
def test9(self):
instance = SeBaInterface() #self.new_instance_of_an_optional_code(SeBaInterface)
error = instance.initialize_code()
self.assertEquals(error, 0)
instance.set_metallicity(0.001)
index,error = instance.new_particle([3.0,0.3])
self.assertEquals(error, 0)
self.assertEquals(index, [1,2])
mu = (3.3 | units.MSun) * constants.G
orbital_period = 200.0 | units.day
semi_major_axis = (((orbital_period / 2.0 * numpy.pi)**2)*mu)**(1.0/3.0)
print semi_major_axis.value_in(units.RSun)
eccentricity = 0.5
index,error = instance.new_binary(
semi_major_axis.value_in(units.RSun),
eccentricity,
index[0],
index[1]
)
self.assertEquals(error, 0)
self.assertEquals(index, 3)
mass, error = instance.get_mass(index)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 3.3, 4)
mass, error = instance.get_mass(2)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 0.3, 4)
error = instance.evolve_model(300)
self.assertEquals(error, 0)
mass, error = instance.get_mass(1)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 2.98777, 4)
mass, error = instance.get_mass(2)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 0.29999, 4)
error = instance.evolve_model(400)
self.assertEquals(error, 0)
mass, error = instance.get_mass(1)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 0.86679, 4)
mass, error = instance.get_mass(2)
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(mass, 0.3, 4)
error = instance.delete_binary(index)
self.assertEquals(error, 0)
mass, error = instance.get_mass(index)
self.assertEquals(error, -1)
# check if singles are still in the mode and evolve
value, error = instance.get_age([1,2])
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(value, 400, 4)
error = instance.evolve_model(500)
self.assertEquals(error, 0)
value, error = instance.get_age([1,2])
self.assertEquals(error, 0)
self.assertAlmostRelativeEqual(value, 500, 4)
class TestSeBa(TestWithMPI):
def test1(self):
instance = self.new_instance_of_an_optional_code(SeBa)
endtime, mass, radius, luminosity, temperature, time_step, stellar_type = instance.evolve_star(1 | units.MSun, 4600 | units.Myr, 0.02)
self.assertTrue( endtime <= 4600 | units.Myr)
self.assertAlmostRelativeEqual(mass, 1.0 | units.MSun, 4)
self.assertAlmostRelativeEqual(radius, 0.9856 | units.RSun, 4)
self.assertAlmostRelativeEqual(luminosity, 0.9585 | units.LSun, 4)
self.assertAlmostRelativeEqual(temperature, 5751 | units.K, 4)
self.assertAlmostRelativeEqual(time_step, 1089.3 | units.Myr, 4)
self.assertEqual(stellar_type, 1 | units.stellar_type)
def test2(self):
instance = self.new_instance_of_an_optional_code(SeBa)
p = Particle()
p.mass = 5 | units.MSun
p.metallicity = 0.02
p = instance.particles.add_particle(p)
instance.evolve_model(130 | units.Myr)
print p
self.assertAlmostRelativeEqual(p.mass, 0.9906 | units.MSun, 4)
def test3(self):
print "Testing evolution of a close binary system..."
instance = self.new_instance_of_an_optional_code(SeBa)
instance.commit_parameters()
stars = Particles(2)
stars[0].mass = 3.0 | units.MSun
stars[1].mass = 0.3 | units.MSun
mu = (3.3 | units.MSun) * constants.G
orbital_period = 200.0 | units.day
semi_major_axis = (((orbital_period / (2.0 * numpy.pi))**2)*mu)**(1.0/3.0)
instance.particles.add_particles(stars)
binaries = Particles(1)
binary = binaries[0]
binary.semi_major_axis = semi_major_axis
binary.eccentricity = 0.5
binary.child1 = stars[0]
binary.child2 = stars[1]
instance.binaries.add_particles(binaries)
from_seba_to_model = instance.particles.new_channel_to(stars)
from_seba_to_model.copy()
from_seba_to_model_binaries = instance.binaries.new_channel_to(binaries)
from_seba_to_model_binaries.copy()
previous_type = binary.child1.stellar_type
results = []
current_time = 0 | units.Myr
while current_time < (480 | units.Myr):
instance.update_time_steps()
# The next line appears a bit weird, but saves time for this simple test.
deltat = max(1.0*instance.binaries[0].time_step, 0.1| units.Myr)
current_time = current_time + deltat
instance.evolve_model(current_time)
from_seba_to_model.copy()
from_seba_to_model_binaries.copy()
if not binary.child1.stellar_type == previous_type:
results.append((binary.age, binary.child1.mass, binary.child1.stellar_type))
previous_type = binary.child1.stellar_type
self.assertEqual(len(results), 6)
for x in results:
print x
types = (
"Hertzsprung Gap",
"First Giant Branch",
"Core Helium Burning",
"First Asymptotic Giant Branch",
"Giant Branch Naked Helium star",
"Carbon/Oxygen White Dwarf",
)
for result, expected in zip(results, types):
self.assertEquals(str(result[2]), expected)
times = (
377.6369 | units.Myr,
379.8877 | units.Myr,
382.3112 | units.Myr,
473.4804 | units.Myr,
475.4766 | units.Myr,
476.6182 | units.Myr,
)
for result, expected in zip(results, times):
self.assertAlmostEqual(result[0].value_in(units.Myr), expected.value_in(units.Myr), 0)
masses = (
3.0000 | units.MSun,
3.0000 | units.MSun,
2.9983 | units.MSun,
2.9741 | units.MSun,
0.6710 | units.MSun,
0.6596 | units.MSun,
)
for result, expected in zip(results, masses):
self.assertAlmostEqual(result[1].value_in(units.MSun), expected.value_in(units.MSun), 2)
instance.stop()
def test5(self):
instance = self.new_instance_of_an_optional_code(SeBa)
self.assertAlmostRelativeEquals(instance.parameters.metallicity , 0.02)
instance.parameters.metallicity = 0.04
self.assertAlmostRelativeEquals(instance.parameters.metallicity , 0.04)
def test6(self):
instance = self.new_instance_of_an_optional_code(SeBa)
self.assertFalse(instance.parameters.is_logging_of_evolve_enabled)
instance.parameters.is_logging_of_evolve_enabled = True
self.assertTrue(instance.parameters.is_logging_of_evolve_enabled)
def test7(self):
instance = self.new_instance_of_an_optional_code(SeBa)
instance.commit_parameters()
stars = Particles(2)
stars[0].mass = 3.0 | units.MSun
stars[1].mass = 0.3 | units.MSun
mu = (3.3 | units.MSun) * constants.G
orbital_period = 200.0 | units.day
semi_major_axis = (((orbital_period / (2.0 * numpy.pi))**2)*mu)**(1.0/3.0)
instance.particles.add_particles(stars)
binaries = Particles(1)
binary = binaries[0]
binary.semi_major_axis = semi_major_axis
binary.eccentricity = 0.5
binary.child1 = stars[0]
binary.child2 = stars[1]
instance.binaries.add_particles(binaries)
self.assertAlmostRelativeEquals(instance.binaries[0].child1.mass, 3.0 | units.MSun, 4)
self.assertAlmostRelativeEquals(instance.binaries[0].child2.mass, 0.3 | units.MSun, 4)
def xtest7(self):
instance = self.new_instance_of_an_optional_code(SeBa)
instance.parameters.metallicity = 0.03
p = Particle()
p.mass = 99.1605930967 | units.MSun
p = instance.particles.add_particle(p)
instance.evolve_model(614 | units.Myr)
print p.stellar_type
self.assertEquals(str(p.stellar_type),'Black Hole')
self.assertAlmostRelativeEqual(p.mass, 0.9906 | units.MSun, 4)
def test8(self):
instance = self.new_instance_of_an_optional_code(SeBa)
instance.parameters.supernova_kick_velocity = 0 | units.kms
instance.commit_parameters()
print "v_kick=", instance.parameters.supernova_kick_velocity
stars = Particles(2)
stars[0].mass = 10.0 | units.MSun
stars[1].mass = 9 | units.MSun
semi_major_axis = 10000|units.AU
instance.particles.add_particles(stars)
binaries = Particles(1)
binary = binaries[0]
binary.semi_major_axis = semi_major_axis
binary.eccentricity = 0
binary.child1 = stars[0]
binary.child2 = stars[1]
instance.binaries.add_particles(binaries)
instance.evolve_model(30|units.Myr)
print instance.particles
print instance.binaries
self.assertAlmostRelativeEquals(instance.binaries[0].eccentricity, 0.7872, 4)
def test9(self):
instance = self.new_instance_of_an_optional_code(SeBa)
stars = Particles(2)
stars[0].mass = 10.0 | units.MSun
stars[1].mass = 9 | units.MSun
instance.particles.add_particles(stars)
instance.evolve_model(30|units.Myr)
self.assertAlmostRelativeEquals(instance.particles.age, [30,30] |units.Myr)
self.assertAlmostRelativeEquals(instance.model_time, 30 | units.Myr)
self.assertAlmostRelativeEquals(instance.particles[0].mass, 1.2263 | units.MSun, 4)
self.assertAlmostRelativeEquals(instance.particles[1].mass, 8.8682 | units.MSun, 4)
stars = Particles(2)
stars[0].mass = 10.0 | units.MSun
stars[1].mass = 9 | units.MSun
instance.particles.add_particles(stars)
instance.evolve_model(60|units.Myr)
print instance.particles.age
print instance.particles.mass
self.assertAlmostRelativeEquals(instance.model_time, 60 | units.Myr)
self.assertAlmostRelativeEquals(instance.particles.age, [60,60,30,30] |units.Myr)
self.assertAlmostRelativeEquals(instance.particles[2].mass, 1.2263 | units.MSun, 4)
self.assertAlmostRelativeEquals(instance.particles[3].mass, 8.8682 | units.MSun, 4)
def test10(self):
""" Test supernova stopping condition """
instance = self.new_instance_of_an_optional_code(SeBa)
instance.stopping_conditions.supernova_detection.enable()
p = Particle()
p.mass = 10 | units.MSun
p.metallicity = 0.02
p = instance.particles.add_particle(p)
instance.set_supernova_kick_velocity(0.0|units.kms)
instance.evolve_model(30 | units.Myr)
self.assertEquals(instance.stopping_conditions.supernova_detection.is_set(), True)
self.assertEquals(instance.stopping_conditions.supernova_detection.particles(0)[0].key, p.key)
self.assertAlmostRelativeEqual(p.age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(p.mass, 1.22632 | units.MSun, 4)
self.assertAlmostRelativeEqual(p.natal_kick_velocity, [0,0,0] | units.kms, 4)
def test11(self):
""" Test supernova stopping condition in a binary """
instance = self.new_instance_of_an_optional_code(SeBa)
instance.stopping_conditions.supernova_detection.enable()
stars = Particles(2)
stars[0].mass = 10.0 | units.MSun
stars[1].mass = 5.0 | units.MSun
instance.particles.add_particles(stars)
binaries = Particles(1)
binary = binaries[0]
binary.semi_major_axis = 1.e6|units.RSun
binary.eccentricity = 0.1
binary.child1 = stars[0]
binary.child2 = stars[1]
instance.binaries.add_particles(binaries)
instance.evolve_model(30 | units.Myr)
self.assertEquals(instance.stopping_conditions.supernova_detection.is_set(), True)
self.assertEquals(instance.stopping_conditions.supernova_detection.particles(0)[0].key, instance.binaries[0].child1.key)
self.assertEquals(instance.stopping_conditions.supernova_detection.particles(0)[0].key, instance.particles[0].key)
print instance.parameters
self.assertAlmostRelativeEqual(instance.particles[0].age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[1].age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[0].mass, 1.22632 | units.MSun, 4)
self.assertAlmostRelativeEqual(instance.particles[1].mass, 5.0 | units.MSun, 4)
# self.assertAlmostRelativeEqual(instance.particles[0].natal_kick_velocity, [0,0,0] | units.kms, 4)
self.assertAlmostRelativeEqual(instance.binaries[0].child1.age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.binaries[0].child2.age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.binaries[0].child1.mass, 1.22632 | units.MSun, 4)
self.assertAlmostRelativeEqual(instance.binaries[0].child2.mass, 5.0 | units.MSun, 4)
# self.assertAlmostRelativeEqual(instance.binaries[0].child1.natal_kick_velocity, [0,0,0] | units.kms, 4)
def test12(self):
""" Test supernova stopping condition with multiple stars """
instance = self.new_instance_of_an_optional_code(SeBa)
instance.stopping_conditions.supernova_detection.enable()
stars = Particles(3)
stars[0].mass = 10.0 | units.MSun
stars[1].mass = 5.0 | units.MSun
stars[2].mass = 0.5 | units.MSun
instance.particles.add_particles(stars)
instance.evolve_model(30 | units.Myr)
self.assertEquals(instance.stopping_conditions.supernova_detection.is_set(), True)
self.assertEquals(instance.stopping_conditions.supernova_detection.particles(0)[0].key, instance.particles[0].key)
self.assertAlmostRelativeEqual(instance.particles[0].age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[1].age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[2].age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[0].mass, 1.22632 | units.MSun, 4)
self.assertAlmostRelativeEqual(instance.particles[1].mass, 5.0 | units.MSun, 4)
self.assertAlmostRelativeEqual(instance.particles[2].mass, 0.5 | units.MSun, 4)
# self.assertAlmostRelativeEqual(instance.particles[0].natal_kick_velocity, [0,0,0] | units.kms, 4)
def test13(self):
""" Test supernova stopping condition with multiple stars """
instance = self.new_instance_of_an_optional_code(SeBa)
instance.stopping_conditions.supernova_detection.enable()
stars = Particles(3)
stars[0].mass = 10.0 | units.MSun
stars[1].mass = 11.0 | units.MSun
stars[2].mass = 0.5 | units.MSun
instance.particles.add_particles(stars)
instance.evolve_model(30 | units.Myr)
self.assertEquals(instance.stopping_conditions.supernova_detection.is_set(), True)
self.assertEquals(instance.stopping_conditions.supernova_detection.particles(0)[0].key, instance.particles[1].key)
self.assertAlmostRelativeEqual(instance.particles[0].age, 23.08688 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[1].age, 23.08688 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[2].age, 23.08688 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[0].mass, 9.92275 | units.MSun, 4)
self.assertAlmostRelativeEqual(instance.particles[1].mass, 1.23645 | units.MSun, 4)
self.assertAlmostRelativeEqual(instance.particles[2].mass, 0.5 | units.MSun, 4)
# self.assertAlmostRelativeEqual(instance.particles[0].natal_kick_velocity, [0,0,0] | units.kms, 4)
instance.evolve_model(30 | units.Myr)
self.assertEquals(instance.stopping_conditions.supernova_detection.is_set(), True)
self.assertEquals(instance.stopping_conditions.supernova_detection.particles(0)[0].key, instance.particles[0].key)
self.assertAlmostRelativeEqual(instance.particles[0].age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[1].age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[2].age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[0].mass, 1.22632 | units.MSun, 4)
self.assertAlmostRelativeEqual(instance.particles[1].mass, 1.23645 | units.MSun, 4)
self.assertAlmostRelativeEqual(instance.particles[2].mass, 0.5 | units.MSun, 4)
# self.assertAlmostRelativeEqual(instance.particles[0].natal_kick_velocity, [0,0,0] | units.kms, 4)
def test14(self):
""" Test supernova stopping condition with multiple stars of equal mass """
instance = self.new_instance_of_an_optional_code(SeBa)
instance.stopping_conditions.supernova_detection.enable()
stars = Particles(3)
stars[0].mass = 10.0 | units.MSun
stars[1].mass = 10.0 | units.MSun
stars[2].mass = 0.5 | units.MSun
instance.particles.add_particles(stars)
instance.evolve_model(30 | units.Myr)
self.assertEquals(instance.stopping_conditions.supernova_detection.is_set(), True)
self.assertEquals(len(instance.stopping_conditions.supernova_detection.particles(0)), 2)
self.assertEquals(instance.stopping_conditions.supernova_detection.particles(0)[0].key, instance.particles[0].key)
self.assertEquals(instance.stopping_conditions.supernova_detection.particles(0)[1].key, instance.particles[1].key)
self.assertAlmostRelativeEqual(instance.particles[0].age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[1].age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[2].age, 27.35866 | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[0].mass, 1.22632 | units.MSun, 4)
self.assertAlmostRelativeEqual(instance.particles[1].mass, 1.22632 | units.MSun, 4)
self.assertAlmostRelativeEqual(instance.particles[2].mass, 0.5 | units.MSun, 4)
# self.assertAlmostRelativeEqual(instance.particles[0].natal_kick_velocity, [0,0,0] | units.kms, 4)
# self.assertAlmostRelativeEqual(instance.particles[1].natal_kick_velocity, [0,0,0] | units.kms, 4)
instance.evolve_model(30 | units.Myr)
self.assertEquals(instance.stopping_conditions.supernova_detection.is_set(), False)
self.assertAlmostRelativeEqual(instance.particles[0].age, 30. | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[1].age, 30. | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[2].age, 30. | units.Myr, 4)
self.assertAlmostRelativeEqual(instance.particles[0].mass, 1.22632 | units.MSun, 4)
self.assertAlmostRelativeEqual(instance.particles[1].mass, 1.22632 | units.MSun, 4)
self.assertAlmostRelativeEqual(instance.particles[2].mass, 0.5 | units.MSun, 4)
| 39.941512 | 142 | 0.664095 | 3,373 | 27,999 | 5.391343 | 0.075304 | 0.088864 | 0.080836 | 0.079846 | 0.864779 | 0.823206 | 0.771515 | 0.735716 | 0.71482 | 0.682925 | 0 | 0.055778 | 0.223937 | 27,999 | 700 | 143 | 39.998571 | 0.781122 | 0.04568 | 0 | 0.660342 | 0 | 0 | 0.007497 | 0 | 0 | 0 | 0 | 0 | 0.394687 | 0 | null | null | 0 | 0.013283 | null | null | 0.024668 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
be7986643206344875b12336c761234b747ab429 | 7,831 | py | Python | dwitter/tests/feed/test_post_views.py | jellyedwards/dwitter | 88c9c2351c2774db58fff77ba3314e6a95aadf5c | [
"Apache-2.0"
] | 714 | 2015-12-30T01:20:54.000Z | 2022-03-29T17:20:10.000Z | dwitter/tests/feed/test_post_views.py | jellyedwards/dwitter | 88c9c2351c2774db58fff77ba3314e6a95aadf5c | [
"Apache-2.0"
] | 341 | 2015-12-30T00:30:17.000Z | 2022-02-17T06:34:13.000Z | dwitter/tests/feed/test_post_views.py | jellyedwards/dwitter | 88c9c2351c2774db58fff77ba3314e6a95aadf5c | [
"Apache-2.0"
] | 95 | 2016-01-26T17:15:42.000Z | 2021-11-23T13:09:10.000Z | from django.test import TransactionTestCase, Client
from django.contrib.auth.models import User
from django.contrib import auth
from dwitter.models import Dweet, Comment, Hashtag
from django.utils import timezone
class PostDweetTestCase(TransactionTestCase):
def setUp(self):
self.client = Client()
self.user = User.objects.create(username="user", password="invalid_pw_hash")
self.user.set_password("hunter2") # Created with proper hash so you can log in!
self.user.save()
self.dweet = Dweet.objects.create(id=1000,
code="dweet code",
posted=timezone.now(),
author=self.user)
def login(self):
# Log in
self.client.post('/accounts/login/',
{'username': 'user', 'password': 'hunter2'},
follow=True)
user = auth.get_user(self.client)
self.assertTrue(user.is_authenticated, "Should be logged in after logging in")
return user
def test_post_new_dweet(self):
user = self.login()
response = self.client.post('/dweet', {'code': 'test_code'}, follow=True)
self.assertEqual(response.status_code, 200,
"Posting dweet return 200. Status code " + str(response.status_code))
dweet = Dweet.objects.get(code='test_code')
self.assertEqual(dweet.code, 'test_code')
self.assertEqual(dweet.author, user)
def test_post_new_dweet_with_first_comment(self):
user = self.login()
response = self.client.post('/dweet',
{'code': 'test_code', 'first-comment': 'hello there'},
follow=True)
self.assertEqual(response.status_code, 200,
"Posting dweet return 200. Status code " + str(response.status_code))
dweet = Dweet.objects.get(code='test_code')
self.assertEqual(dweet.code, 'test_code')
self.assertEqual(dweet.author, user)
comment = Comment.objects.get(reply_to=dweet)
self.assertEqual(comment.text, 'hello there')
self.assertEqual(comment.author, user)
def test_post_new_dweet_with_first_comment_with_hashtag(self):
user = self.login()
response = self.client.post('/dweet',
{'code': 'test_code', 'first-comment': 'hello there #woo'},
follow=True)
self.assertEqual(response.status_code, 200,
"Posting dweet return 200. Status code " + str(response.status_code))
dweet = Dweet.objects.get(code='test_code')
self.assertEqual(dweet.code, 'test_code')
self.assertEqual(dweet.author, user)
comment = Comment.objects.get(reply_to=dweet)
self.assertEqual(comment.text, 'hello there #woo')
self.assertEqual(comment.author, user)
hashtag = Hashtag.objects.get(name='woo')
self.assertEqual(dweet in hashtag.dweets.all(), True)
def test_too_long_dweet_post(self):
user = self.login()
response = self.client.post('/dweet', {'code': 'test code that is way too long,' +
'wow this looks long in code.' +
'We could fit so much in here.' +
'oh wow. mooooooooooooooooar text.' +
'Getting there.' +
'And BAM tooo long!'}, follow=True)
self.assertContains(response, "Dweet code too long!", status_code=400)
# shorter code should go through!
response = self.client.post('/dweet', {'code': 'test code that is a lot shorter,' +
'wow this looks long in code.' +
'And BAM not tooo long!'}, follow=True)
self.assertEqual(response.status_code, 200)
dweets = Dweet.objects.filter(author=user)
self.assertEqual(dweets.count(), 2)
def test_post_dweet_reply(self):
user = self.login()
response = self.client.post('/d/1000/reply', {'code': 'test_code'}, follow=True)
self.assertEqual(response.status_code, 200,
"Posting dweet return 200. Status code " + str(response.status_code))
dweet = Dweet.objects.get(code='test_code')
self.assertEqual(dweet.code, 'test_code')
self.assertEqual(dweet.author, user)
self.assertEqual(dweet.reply_to, self.dweet)
def test_post_dweet_reply_with_first_comment(self):
user = self.login()
response = self.client.post('/d/1000/reply',
{'code': 'test_code', 'first-comment': 'hello there'},
follow=True)
self.assertEqual(response.status_code, 200,
"Posting dweet return 200. Status code " + str(response.status_code))
dweet = Dweet.objects.get(code='test_code')
self.assertEqual(dweet.code, 'test_code')
self.assertEqual(dweet.author, user)
self.assertEqual(dweet.reply_to, self.dweet)
comment = Comment.objects.get(reply_to=dweet)
self.assertEqual(comment.text, 'hello there')
self.assertEqual(comment.author, user)
def test_post_dweet_reply_with_first_comment_with_hashtag(self):
user = self.login()
response = self.client.post('/d/1000/reply',
{'code': 'test_code', 'first-comment': 'hello there #woo'},
follow=True)
self.assertEqual(response.status_code, 200,
"Posting dweet return 200. Status code " + str(response.status_code))
dweet = Dweet.objects.get(code='test_code')
self.assertEqual(dweet.code, 'test_code')
self.assertEqual(dweet.author, user)
self.assertEqual(dweet.reply_to, self.dweet)
comment = Comment.objects.get(reply_to=dweet)
self.assertEqual(comment.text, 'hello there #woo')
self.assertEqual(comment.author, user)
hashtag = Hashtag.objects.get(name='woo')
self.assertEqual(dweet in hashtag.dweets.all(), True)
def test_too_long_dweet_reply(self):
user = self.login()
response = self.client.post('/d/1000/reply', {'code': 'test code that is way too long,' +
'wow this looks long in code.' +
'We could fit so much in here.' +
'oh wow. mooooooooooooooooar text.' +
'Getting there.' +
'And BAM tooo long!'}, follow=True)
self.assertContains(response, "Dweet code too long!", status_code=400)
# shorter code should go through!
response = self.client.post('/d/1000/reply', {'code': 'test code that is a lot shorter,' +
'wow this looks long in code.' +
'And BAM not tooo long!'}, follow=True)
self.assertEqual(response.status_code, 200)
dweets = Dweet.objects.filter(author=user)
self.assertEqual(dweets.count(), 2)
def test_like_dweet(self):
pass # TODO
def test_unlike_dweet(self):
pass # TODO
def test_delete_dweet(self):
pass # TODO
def test_GET_requests_fail(self):
pass # TODO
| 43.505556 | 98 | 0.551143 | 845 | 7,831 | 4.992899 | 0.134911 | 0.124437 | 0.062574 | 0.045508 | 0.839298 | 0.83835 | 0.815833 | 0.815833 | 0.808485 | 0.808485 | 0 | 0.014743 | 0.341719 | 7,831 | 179 | 99 | 43.748603 | 0.803686 | 0.017111 | 0 | 0.711111 | 0 | 0 | 0.171176 | 0 | 0 | 0 | 0 | 0.005587 | 0.281481 | 1 | 0.103704 | false | 0.051852 | 0.037037 | 0 | 0.155556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
bea71da4977211c3d2957bf916b78fef01639628 | 3,508 | py | Python | pybitcore/api.py | tianshanghong/pybitcore | c6abde8b1c2d43a6f8111db0c4f6ef821251695a | [
"MIT"
] | 1 | 2019-07-23T17:47:17.000Z | 2019-07-23T17:47:17.000Z | pybitcore/api.py | tianshanghong/pybitcore | c6abde8b1c2d43a6f8111db0c4f6ef821251695a | [
"MIT"
] | null | null | null | pybitcore/api.py | tianshanghong/pybitcore | c6abde8b1c2d43a6f8111db0c4f6ef821251695a | [
"MIT"
] | 1 | 2019-08-02T05:49:15.000Z | 2019-08-02T05:49:15.000Z | import json
import requests
class BitCoreAPI:
def __init__(self, host="127.0.0.1", port=3000):
self.url_base = f"http://{host}:{port}"
def get_transaction_by_block_height(self, block_height: int):
_url = self.url_base + f"/api/BTC/mainnet/tx?blockHeight={block_height}"
_str = requests.get(_url).text
return json.loads(_str)
def get_transaction_by_block_hash(self, block_hash: str):
_url = self.url_base + f"/api/BTC/mainnet/tx?blockHash={block_hash}"
_str = requests.get(_url).text
return json.loads(_str)
def get_coins(self, txid: str):
_url = self.url_base + f"/api/BTC/mainnet/tx/{txid}/coins"
_str = requests.get(_url).text
return json.loads(_str)
def get_address_transactions(self, address: str):
_url = self.url_base + f"/api/BTC/mainnet/address/{address}/txs"
_str = requests.get(_url).text
return json.loads(_str)
def get_transaction_outputs_by_address(self, address: str):
_url = self.url_base + f"/api/BTC/mainnet/address/{address}/?unspent=true"
_str = requests.get(_url).text
return json.loads(_str)
def get_balance_for_an_address(self, address: str):
_url = self.url_base + f"/api/BTC/mainnet/address/{address}/balance"
_str = requests.get(_url).text
return json.loads(_str)
def get_block(self, block_id: str):
_url = self.url_base + f"/api/BTC/mainnet/block/{block_id}"
_str = requests.get(_url).text
return json.loads(_str)
def get_current_height(self):
_url = self.url_base + f"/api/BTC/mainnet/block/tip"
_str = requests.get(_url).text
return json.loads(_str)
def get_wallet(self, pub_key: str):
_url = self.url_base + f"/api/BTC/mainnet/wallet/{pub_key}"
_str = requests.get(_url).text
return json.loads(_str)
def get_wallet_address(self, pub_key: str):
_url = self.url_base + f"/api/BTC/mainnet/wallet/{pub_key}/addresses"
_str = requests.get(_url).text
return json.loads(_str)
def get_wallet_transactions(self, pub_key: str):
_url = self.url_base + f"/api/BTC/mainnet/wallet/{pub_key}/transactions"
_str = requests.get(_url).text
return json.loads(_str)
def get_balance(self, pub_key: str):
_url = self.url_base + f"/api/BTC/mainnet/wallet/{pub_key}/balance"
_str = requests.get(_url).text
return json.loads(_str)
def get_wallet_utxos(self, pub_key: str):
_url = self.url_base + f"/api/BTC/mainnet/wallet/{pub_key}/balance"
_str = requests.get(_url).text
return json.loads(_str)
def get_wallet_utxos(self, pub_key: str):
_url = self.url_base + f"/api/BTC/mainnet/wallet/{pub_key}/utxos"
_str = requests.get(_url).text
return json.loads(_str)
def get_fee_estimate_for_within_n_blocks(self, target: int):
_url = self.url_base + f"/api/BTC/mainnet/fee/{target}"
_str = requests.get(_url).text
return json.loads(_str)
def get_daily_transactions(self):
_url = self.url_base + f"/api/BTC/mainnet/stats/daily-transactions"
_str = requests.get(_url).text
return json.loads(_str)
def get_enabled_chains(self):
_url = self.url_base + f"/api/status/enabled-chains"
_str = requests.get(_url).text
return json.loads(_str) | 38.130435 | 82 | 0.63683 | 497 | 3,508 | 4.193159 | 0.130785 | 0.070537 | 0.09501 | 0.103647 | 0.800384 | 0.785509 | 0.785509 | 0.774952 | 0.774952 | 0.675144 | 0 | 0.003724 | 0.234607 | 3,508 | 92 | 83 | 38.130435 | 0.772439 | 0 | 0 | 0.520548 | 0 | 0 | 0.192363 | 0.184098 | 0 | 0 | 0 | 0 | 0 | 1 | 0.246575 | false | 0 | 0.027397 | 0 | 0.520548 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 8 |
fe597c19f3d13db31bd446303d460cc03cfd1cd8 | 1,335 | py | Python | tests/apps/github_webhook/workflow_test.py | Thornycrackers-Forks/busy-beaver | e47d481d217e137ecc2a9e450b9a101b508ce50f | [
"MIT"
] | null | null | null | tests/apps/github_webhook/workflow_test.py | Thornycrackers-Forks/busy-beaver | e47d481d217e137ecc2a9e450b9a101b508ce50f | [
"MIT"
] | null | null | null | tests/apps/github_webhook/workflow_test.py | Thornycrackers-Forks/busy-beaver | e47d481d217e137ecc2a9e450b9a101b508ce50f | [
"MIT"
] | null | null | null | import pytest
from busy_beaver.apps.github_webhook.workflow import (
generate_new_issue_message,
generate_new_pull_request_message,
)
pytest_plugins = ("tests._utilities.fixtures.github",)
@pytest.mark.unit
def test_generate_new_issue_message_action_is_open(generate_event_subscription_request):
data = generate_event_subscription_request(action="opened", issue_html_url="url")
result = generate_new_issue_message(data)
assert "New Issue" in result
assert "url" in result
@pytest.mark.unit
def test_generate_new_issue_message_action_is_not_open(
generate_event_subscription_request
):
data = generate_event_subscription_request(action="something_else")
result = generate_new_issue_message(data)
assert not result
@pytest.mark.unit
def test_generate_new_pr_message_action_is_open(generate_event_subscription_request):
data = generate_event_subscription_request(action="opened", pr_html_url="url")
result = generate_new_pull_request_message(data)
assert "New Pull Request" in result
assert "url" in result
@pytest.mark.unit
def test_generate_new_pr_message_action_is_not_open(
generate_event_subscription_request
):
data = generate_event_subscription_request(action="something_else")
result = generate_new_pull_request_message(data)
assert not result
| 28.404255 | 88 | 0.807491 | 180 | 1,335 | 5.516667 | 0.216667 | 0.110775 | 0.20141 | 0.257805 | 0.848943 | 0.807654 | 0.787513 | 0.726083 | 0.652568 | 0.652568 | 0 | 0 | 0.123596 | 1,335 | 46 | 89 | 29.021739 | 0.848718 | 0 | 0 | 0.5625 | 1 | 0 | 0.081648 | 0.02397 | 0 | 0 | 0 | 0 | 0.1875 | 1 | 0.125 | false | 0 | 0.0625 | 0 | 0.1875 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
2299a16e5e75a3a64d5bdcd25907ac97a785ea5e | 59,415 | py | Python | cisco_threatgrid/icon_cisco_threatgrid/actions/search_for_sample_report_by_sha256/schema.py | emartin-merrill-r7/insightconnect-plugins | a589745dbcc9f01d3e601431e77ab7221a84c117 | [
"MIT"
] | 1 | 2020-03-18T09:14:55.000Z | 2020-03-18T09:14:55.000Z | cisco_threatgrid/icon_cisco_threatgrid/actions/search_for_sample_report_by_sha256/schema.py | OSSSP/insightconnect-plugins | 846758dab745170cf1a8c146211a8bea9592e8ff | [
"MIT"
] | null | null | null | cisco_threatgrid/icon_cisco_threatgrid/actions/search_for_sample_report_by_sha256/schema.py | OSSSP/insightconnect-plugins | 846758dab745170cf1a8c146211a8bea9592e8ff | [
"MIT"
] | null | null | null | # GENERATED BY KOMAND SDK - DO NOT EDIT
import komand
import json
class Component:
DESCRIPTION = "Search for a sample report matching the given hash"
class Input:
SHA256 = "sha256"
class Output:
SAMPLE_REPORT_LIST = "sample_report_list"
class SearchForSampleReportBySha256Input(komand.Input):
schema = json.loads("""
{
"type": "object",
"title": "Variables",
"properties": {
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 1
}
},
"required": [
"sha256"
]
}
""")
def __init__(self):
super(self.__class__, self).__init__(self.schema)
class SearchForSampleReportBySha256Output(komand.Output):
schema = json.loads("""
{
"type": "object",
"title": "Variables",
"properties": {
"sample_report_list": {
"type": "array",
"title": "Sample Report List",
"description": "Sample report list",
"items": {
"$ref": "#/definitions/sample_report"
},
"order": 1
}
},
"required": [
"sample_report_list"
],
"definitions": {
"analysis": {
"type": "object",
"title": "analysis",
"properties": {
"behaviors": {
"type": "array",
"title": "Behaviors",
"description": "Behaviors",
"items": {
"$ref": "#/definitions/behaviors"
},
"order": 1
},
"metadata": {
"$ref": "#/definitions/metadata",
"title": "Metadata",
"description": "Metadata",
"order": 3
},
"threat_score": {
"type": "integer",
"title": "Threat Score",
"description": "Threat score",
"order": 2
}
},
"definitions": {
"analyzed_file": {
"type": "object",
"title": "analyzed_file",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 6
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 5
}
}
},
"behaviors": {
"type": "object",
"title": "behaviors",
"properties": {
"name": {
"type": "string",
"title": "Name",
"description": "Name",
"order": 1
},
"threat": {
"type": "integer",
"title": "Threat",
"description": "Threat",
"order": 2
},
"title": {
"type": "string",
"title": "Title",
"description": "Title",
"order": 3
}
}
},
"general_details": {
"type": "object",
"title": "general_details",
"properties": {
"report_created": {
"type": "string",
"title": "Report Created",
"description": "Report created",
"order": 2
},
"sandbox_id": {
"type": "string",
"title": "Sandbox ID",
"description": "Sandbox ID",
"order": 3
},
"sandbox_version": {
"type": "string",
"title": "Sandbox Version",
"description": "Sandbox version",
"order": 1
}
}
},
"malware_desc": {
"type": "object",
"title": "malware_desc",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 5
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"size": {
"type": "integer",
"title": "Size",
"description": "Size",
"order": 7
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 6
}
}
},
"metadata": {
"type": "object",
"title": "metadata",
"properties": {
"analyzed_file": {
"$ref": "#/definitions/analyzed_file",
"title": "Analyzed File",
"description": "Analyzed file",
"order": 3
},
"general_details": {
"$ref": "#/definitions/general_details",
"title": "General Details",
"description": "General details",
"order": 1
},
"malware_desc": {
"type": "array",
"title": "Malware Description",
"description": "Malware description",
"items": {
"$ref": "#/definitions/malware_desc"
},
"order": 5
},
"sandcastle_env": {
"$ref": "#/definitions/sandcastle_env",
"title": "Sandcastle ENV",
"description": "Sandcastle ENV",
"order": 2
},
"submitted_file": {
"$ref": "#/definitions/analyzed_file",
"title": "Submitted File",
"description": "Submitted file",
"order": 4
}
},
"definitions": {
"analyzed_file": {
"type": "object",
"title": "analyzed_file",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 6
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 5
}
}
},
"general_details": {
"type": "object",
"title": "general_details",
"properties": {
"report_created": {
"type": "string",
"title": "Report Created",
"description": "Report created",
"order": 2
},
"sandbox_id": {
"type": "string",
"title": "Sandbox ID",
"description": "Sandbox ID",
"order": 3
},
"sandbox_version": {
"type": "string",
"title": "Sandbox Version",
"description": "Sandbox version",
"order": 1
}
}
},
"malware_desc": {
"type": "object",
"title": "malware_desc",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 5
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"size": {
"type": "integer",
"title": "Size",
"description": "Size",
"order": 7
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 6
}
}
},
"sandcastle_env": {
"type": "object",
"title": "sandcastle_env",
"properties": {
"analysis_end": {
"type": "string",
"title": "Analysis End",
"description": "Analysis end",
"order": 6
},
"analysis_features": {
"type": "array",
"title": "Analysis Features",
"description": "Analysis features",
"items": {
"type": "object"
},
"order": 9
},
"analysis_start": {
"type": "string",
"title": "Analysis Start",
"description": "Analysis start",
"order": 7
},
"controlsubject": {
"type": "string",
"title": "Control Subject",
"description": "Control subject",
"order": 4
},
"current_os": {
"type": "string",
"title": "Current OS",
"description": "Current OS",
"order": 10
},
"display_name": {
"type": "string",
"title": "Display Name",
"description": "Display name",
"order": 1
},
"run_time": {
"type": "integer",
"title": "Run Time",
"description": "Run time",
"order": 8
},
"sample_executed": {
"type": "integer",
"title": "Sample Executed",
"description": "Sample executed",
"order": 2
},
"sandcastle": {
"type": "string",
"title": "Sandcastle",
"description": "Sandcastle",
"order": 3
},
"vm": {
"type": "string",
"title": "VM",
"description": "VM",
"order": 5
},
"vm_id": {
"type": "string",
"title": "VM ID",
"description": "VM ID",
"order": 11
}
}
}
}
},
"sandcastle_env": {
"type": "object",
"title": "sandcastle_env",
"properties": {
"analysis_end": {
"type": "string",
"title": "Analysis End",
"description": "Analysis end",
"order": 6
},
"analysis_features": {
"type": "array",
"title": "Analysis Features",
"description": "Analysis features",
"items": {
"type": "object"
},
"order": 9
},
"analysis_start": {
"type": "string",
"title": "Analysis Start",
"description": "Analysis start",
"order": 7
},
"controlsubject": {
"type": "string",
"title": "Control Subject",
"description": "Control subject",
"order": 4
},
"current_os": {
"type": "string",
"title": "Current OS",
"description": "Current OS",
"order": 10
},
"display_name": {
"type": "string",
"title": "Display Name",
"description": "Display name",
"order": 1
},
"run_time": {
"type": "integer",
"title": "Run Time",
"description": "Run time",
"order": 8
},
"sample_executed": {
"type": "integer",
"title": "Sample Executed",
"description": "Sample executed",
"order": 2
},
"sandcastle": {
"type": "string",
"title": "Sandcastle",
"description": "Sandcastle",
"order": 3
},
"vm": {
"type": "string",
"title": "VM",
"description": "VM",
"order": 5
},
"vm_id": {
"type": "string",
"title": "VM ID",
"description": "VM ID",
"order": 11
}
}
}
}
},
"analyzed_file": {
"type": "object",
"title": "analyzed_file",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 6
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 5
}
}
},
"behaviors": {
"type": "object",
"title": "behaviors",
"properties": {
"name": {
"type": "string",
"title": "Name",
"description": "Name",
"order": 1
},
"threat": {
"type": "integer",
"title": "Threat",
"description": "Threat",
"order": 2
},
"title": {
"type": "string",
"title": "Title",
"description": "Title",
"order": 3
}
}
},
"general_details": {
"type": "object",
"title": "general_details",
"properties": {
"report_created": {
"type": "string",
"title": "Report Created",
"description": "Report created",
"order": 2
},
"sandbox_id": {
"type": "string",
"title": "Sandbox ID",
"description": "Sandbox ID",
"order": 3
},
"sandbox_version": {
"type": "string",
"title": "Sandbox Version",
"description": "Sandbox version",
"order": 1
}
}
},
"malware_desc": {
"type": "object",
"title": "malware_desc",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 5
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"size": {
"type": "integer",
"title": "Size",
"description": "Size",
"order": 7
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 6
}
}
},
"metadata": {
"type": "object",
"title": "metadata",
"properties": {
"analyzed_file": {
"$ref": "#/definitions/analyzed_file",
"title": "Analyzed File",
"description": "Analyzed file",
"order": 3
},
"general_details": {
"$ref": "#/definitions/general_details",
"title": "General Details",
"description": "General details",
"order": 1
},
"malware_desc": {
"type": "array",
"title": "Malware Description",
"description": "Malware description",
"items": {
"$ref": "#/definitions/malware_desc"
},
"order": 5
},
"sandcastle_env": {
"$ref": "#/definitions/sandcastle_env",
"title": "Sandcastle ENV",
"description": "Sandcastle ENV",
"order": 2
},
"submitted_file": {
"$ref": "#/definitions/analyzed_file",
"title": "Submitted File",
"description": "Submitted file",
"order": 4
}
},
"definitions": {
"analyzed_file": {
"type": "object",
"title": "analyzed_file",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 6
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 5
}
}
},
"general_details": {
"type": "object",
"title": "general_details",
"properties": {
"report_created": {
"type": "string",
"title": "Report Created",
"description": "Report created",
"order": 2
},
"sandbox_id": {
"type": "string",
"title": "Sandbox ID",
"description": "Sandbox ID",
"order": 3
},
"sandbox_version": {
"type": "string",
"title": "Sandbox Version",
"description": "Sandbox version",
"order": 1
}
}
},
"malware_desc": {
"type": "object",
"title": "malware_desc",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 5
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"size": {
"type": "integer",
"title": "Size",
"description": "Size",
"order": 7
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 6
}
}
},
"sandcastle_env": {
"type": "object",
"title": "sandcastle_env",
"properties": {
"analysis_end": {
"type": "string",
"title": "Analysis End",
"description": "Analysis end",
"order": 6
},
"analysis_features": {
"type": "array",
"title": "Analysis Features",
"description": "Analysis features",
"items": {
"type": "object"
},
"order": 9
},
"analysis_start": {
"type": "string",
"title": "Analysis Start",
"description": "Analysis start",
"order": 7
},
"controlsubject": {
"type": "string",
"title": "Control Subject",
"description": "Control subject",
"order": 4
},
"current_os": {
"type": "string",
"title": "Current OS",
"description": "Current OS",
"order": 10
},
"display_name": {
"type": "string",
"title": "Display Name",
"description": "Display name",
"order": 1
},
"run_time": {
"type": "integer",
"title": "Run Time",
"description": "Run time",
"order": 8
},
"sample_executed": {
"type": "integer",
"title": "Sample Executed",
"description": "Sample executed",
"order": 2
},
"sandcastle": {
"type": "string",
"title": "Sandcastle",
"description": "Sandcastle",
"order": 3
},
"vm": {
"type": "string",
"title": "VM",
"description": "VM",
"order": 5
},
"vm_id": {
"type": "string",
"title": "VM ID",
"description": "VM ID",
"order": 11
}
}
}
}
},
"properties": {
"type": "object",
"title": "properties",
"properties": {
"metadata": {
"type": "object",
"title": "Metadata",
"description": "Metadata",
"order": 1
}
}
},
"sample_report": {
"type": "object",
"title": "sample_report",
"properties": {
"analysis": {
"$ref": "#/definitions/analysis",
"title": "Analysis",
"description": "Analysis",
"order": 11
},
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 7
},
"login": {
"type": "string",
"title": "Login",
"description": "Login",
"order": 12
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 15
},
"organization_id": {
"type": "integer",
"title": "Organization ID",
"description": "Organization ID",
"order": 8
},
"private": {
"type": "boolean",
"title": "Private",
"description": "Private",
"order": 6
},
"properties": {
"$ref": "#/definitions/properties",
"title": "Properties",
"description": "Properties",
"order": 14
},
"sample": {
"type": "string",
"title": "Sample",
"description": "Sample",
"order": 2
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 3
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 13
},
"state": {
"type": "string",
"title": "State",
"description": "State",
"order": 9
},
"status": {
"type": "string",
"title": "Status",
"description": "Status",
"order": 1
},
"submitted_at": {
"type": "string",
"title": "Submitted At",
"description": "Submitted at",
"order": 4
},
"tags": {
"type": "array",
"title": "Tags",
"description": "Tags",
"items": {
"type": "string"
},
"order": 5
},
"vm_runtime": {
"type": "integer",
"title": "VM Runtime",
"description": "VM runtime",
"order": 10
}
},
"definitions": {
"analysis": {
"type": "object",
"title": "analysis",
"properties": {
"behaviors": {
"type": "array",
"title": "Behaviors",
"description": "Behaviors",
"items": {
"$ref": "#/definitions/behaviors"
},
"order": 1
},
"metadata": {
"$ref": "#/definitions/metadata",
"title": "Metadata",
"description": "Metadata",
"order": 3
},
"threat_score": {
"type": "integer",
"title": "Threat Score",
"description": "Threat score",
"order": 2
}
},
"definitions": {
"analyzed_file": {
"type": "object",
"title": "analyzed_file",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 6
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 5
}
}
},
"behaviors": {
"type": "object",
"title": "behaviors",
"properties": {
"name": {
"type": "string",
"title": "Name",
"description": "Name",
"order": 1
},
"threat": {
"type": "integer",
"title": "Threat",
"description": "Threat",
"order": 2
},
"title": {
"type": "string",
"title": "Title",
"description": "Title",
"order": 3
}
}
},
"general_details": {
"type": "object",
"title": "general_details",
"properties": {
"report_created": {
"type": "string",
"title": "Report Created",
"description": "Report created",
"order": 2
},
"sandbox_id": {
"type": "string",
"title": "Sandbox ID",
"description": "Sandbox ID",
"order": 3
},
"sandbox_version": {
"type": "string",
"title": "Sandbox Version",
"description": "Sandbox version",
"order": 1
}
}
},
"malware_desc": {
"type": "object",
"title": "malware_desc",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 5
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"size": {
"type": "integer",
"title": "Size",
"description": "Size",
"order": 7
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 6
}
}
},
"metadata": {
"type": "object",
"title": "metadata",
"properties": {
"analyzed_file": {
"$ref": "#/definitions/analyzed_file",
"title": "Analyzed File",
"description": "Analyzed file",
"order": 3
},
"general_details": {
"$ref": "#/definitions/general_details",
"title": "General Details",
"description": "General details",
"order": 1
},
"malware_desc": {
"type": "array",
"title": "Malware Description",
"description": "Malware description",
"items": {
"$ref": "#/definitions/malware_desc"
},
"order": 5
},
"sandcastle_env": {
"$ref": "#/definitions/sandcastle_env",
"title": "Sandcastle ENV",
"description": "Sandcastle ENV",
"order": 2
},
"submitted_file": {
"$ref": "#/definitions/analyzed_file",
"title": "Submitted File",
"description": "Submitted file",
"order": 4
}
},
"definitions": {
"analyzed_file": {
"type": "object",
"title": "analyzed_file",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 6
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 5
}
}
},
"general_details": {
"type": "object",
"title": "general_details",
"properties": {
"report_created": {
"type": "string",
"title": "Report Created",
"description": "Report created",
"order": 2
},
"sandbox_id": {
"type": "string",
"title": "Sandbox ID",
"description": "Sandbox ID",
"order": 3
},
"sandbox_version": {
"type": "string",
"title": "Sandbox Version",
"description": "Sandbox version",
"order": 1
}
}
},
"malware_desc": {
"type": "object",
"title": "malware_desc",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 5
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"size": {
"type": "integer",
"title": "Size",
"description": "Size",
"order": 7
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 6
}
}
},
"sandcastle_env": {
"type": "object",
"title": "sandcastle_env",
"properties": {
"analysis_end": {
"type": "string",
"title": "Analysis End",
"description": "Analysis end",
"order": 6
},
"analysis_features": {
"type": "array",
"title": "Analysis Features",
"description": "Analysis features",
"items": {
"type": "object"
},
"order": 9
},
"analysis_start": {
"type": "string",
"title": "Analysis Start",
"description": "Analysis start",
"order": 7
},
"controlsubject": {
"type": "string",
"title": "Control Subject",
"description": "Control subject",
"order": 4
},
"current_os": {
"type": "string",
"title": "Current OS",
"description": "Current OS",
"order": 10
},
"display_name": {
"type": "string",
"title": "Display Name",
"description": "Display name",
"order": 1
},
"run_time": {
"type": "integer",
"title": "Run Time",
"description": "Run time",
"order": 8
},
"sample_executed": {
"type": "integer",
"title": "Sample Executed",
"description": "Sample executed",
"order": 2
},
"sandcastle": {
"type": "string",
"title": "Sandcastle",
"description": "Sandcastle",
"order": 3
},
"vm": {
"type": "string",
"title": "VM",
"description": "VM",
"order": 5
},
"vm_id": {
"type": "string",
"title": "VM ID",
"description": "VM ID",
"order": 11
}
}
}
}
},
"sandcastle_env": {
"type": "object",
"title": "sandcastle_env",
"properties": {
"analysis_end": {
"type": "string",
"title": "Analysis End",
"description": "Analysis end",
"order": 6
},
"analysis_features": {
"type": "array",
"title": "Analysis Features",
"description": "Analysis features",
"items": {
"type": "object"
},
"order": 9
},
"analysis_start": {
"type": "string",
"title": "Analysis Start",
"description": "Analysis start",
"order": 7
},
"controlsubject": {
"type": "string",
"title": "Control Subject",
"description": "Control subject",
"order": 4
},
"current_os": {
"type": "string",
"title": "Current OS",
"description": "Current OS",
"order": 10
},
"display_name": {
"type": "string",
"title": "Display Name",
"description": "Display name",
"order": 1
},
"run_time": {
"type": "integer",
"title": "Run Time",
"description": "Run time",
"order": 8
},
"sample_executed": {
"type": "integer",
"title": "Sample Executed",
"description": "Sample executed",
"order": 2
},
"sandcastle": {
"type": "string",
"title": "Sandcastle",
"description": "Sandcastle",
"order": 3
},
"vm": {
"type": "string",
"title": "VM",
"description": "VM",
"order": 5
},
"vm_id": {
"type": "string",
"title": "VM ID",
"description": "VM ID",
"order": 11
}
}
}
}
},
"analyzed_file": {
"type": "object",
"title": "analyzed_file",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 6
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 5
}
}
},
"behaviors": {
"type": "object",
"title": "behaviors",
"properties": {
"name": {
"type": "string",
"title": "Name",
"description": "Name",
"order": 1
},
"threat": {
"type": "integer",
"title": "Threat",
"description": "Threat",
"order": 2
},
"title": {
"type": "string",
"title": "Title",
"description": "Title",
"order": 3
}
}
},
"general_details": {
"type": "object",
"title": "general_details",
"properties": {
"report_created": {
"type": "string",
"title": "Report Created",
"description": "Report created",
"order": 2
},
"sandbox_id": {
"type": "string",
"title": "Sandbox ID",
"description": "Sandbox ID",
"order": 3
},
"sandbox_version": {
"type": "string",
"title": "Sandbox Version",
"description": "Sandbox version",
"order": 1
}
}
},
"malware_desc": {
"type": "object",
"title": "malware_desc",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 5
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"size": {
"type": "integer",
"title": "Size",
"description": "Size",
"order": 7
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 6
}
}
},
"metadata": {
"type": "object",
"title": "metadata",
"properties": {
"analyzed_file": {
"$ref": "#/definitions/analyzed_file",
"title": "Analyzed File",
"description": "Analyzed file",
"order": 3
},
"general_details": {
"$ref": "#/definitions/general_details",
"title": "General Details",
"description": "General details",
"order": 1
},
"malware_desc": {
"type": "array",
"title": "Malware Description",
"description": "Malware description",
"items": {
"$ref": "#/definitions/malware_desc"
},
"order": 5
},
"sandcastle_env": {
"$ref": "#/definitions/sandcastle_env",
"title": "Sandcastle ENV",
"description": "Sandcastle ENV",
"order": 2
},
"submitted_file": {
"$ref": "#/definitions/analyzed_file",
"title": "Submitted File",
"description": "Submitted file",
"order": 4
}
},
"definitions": {
"analyzed_file": {
"type": "object",
"title": "analyzed_file",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 6
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 5
}
}
},
"general_details": {
"type": "object",
"title": "general_details",
"properties": {
"report_created": {
"type": "string",
"title": "Report Created",
"description": "Report created",
"order": 2
},
"sandbox_id": {
"type": "string",
"title": "Sandbox ID",
"description": "Sandbox ID",
"order": 3
},
"sandbox_version": {
"type": "string",
"title": "Sandbox Version",
"description": "Sandbox version",
"order": 1
}
}
},
"malware_desc": {
"type": "object",
"title": "malware_desc",
"properties": {
"filename": {
"type": "string",
"title": "Filename",
"description": "Filename",
"order": 3
},
"magic": {
"type": "string",
"title": "Magic",
"description": "Magic",
"order": 2
},
"md5": {
"type": "string",
"title": "MD5",
"description": "MD5",
"order": 5
},
"sha1": {
"type": "string",
"title": "SHA1",
"description": "SHA1",
"order": 1
},
"sha256": {
"type": "string",
"title": "SHA256",
"description": "SHA256",
"order": 4
},
"size": {
"type": "integer",
"title": "Size",
"description": "Size",
"order": 7
},
"type": {
"type": "string",
"title": "Type",
"description": "Type",
"order": 6
}
}
},
"sandcastle_env": {
"type": "object",
"title": "sandcastle_env",
"properties": {
"analysis_end": {
"type": "string",
"title": "Analysis End",
"description": "Analysis end",
"order": 6
},
"analysis_features": {
"type": "array",
"title": "Analysis Features",
"description": "Analysis features",
"items": {
"type": "object"
},
"order": 9
},
"analysis_start": {
"type": "string",
"title": "Analysis Start",
"description": "Analysis start",
"order": 7
},
"controlsubject": {
"type": "string",
"title": "Control Subject",
"description": "Control subject",
"order": 4
},
"current_os": {
"type": "string",
"title": "Current OS",
"description": "Current OS",
"order": 10
},
"display_name": {
"type": "string",
"title": "Display Name",
"description": "Display name",
"order": 1
},
"run_time": {
"type": "integer",
"title": "Run Time",
"description": "Run time",
"order": 8
},
"sample_executed": {
"type": "integer",
"title": "Sample Executed",
"description": "Sample executed",
"order": 2
},
"sandcastle": {
"type": "string",
"title": "Sandcastle",
"description": "Sandcastle",
"order": 3
},
"vm": {
"type": "string",
"title": "VM",
"description": "VM",
"order": 5
},
"vm_id": {
"type": "string",
"title": "VM ID",
"description": "VM ID",
"order": 11
}
}
}
}
},
"properties": {
"type": "object",
"title": "properties",
"properties": {
"metadata": {
"type": "object",
"title": "Metadata",
"description": "Metadata",
"order": 1
}
}
},
"sandcastle_env": {
"type": "object",
"title": "sandcastle_env",
"properties": {
"analysis_end": {
"type": "string",
"title": "Analysis End",
"description": "Analysis end",
"order": 6
},
"analysis_features": {
"type": "array",
"title": "Analysis Features",
"description": "Analysis features",
"items": {
"type": "object"
},
"order": 9
},
"analysis_start": {
"type": "string",
"title": "Analysis Start",
"description": "Analysis start",
"order": 7
},
"controlsubject": {
"type": "string",
"title": "Control Subject",
"description": "Control subject",
"order": 4
},
"current_os": {
"type": "string",
"title": "Current OS",
"description": "Current OS",
"order": 10
},
"display_name": {
"type": "string",
"title": "Display Name",
"description": "Display name",
"order": 1
},
"run_time": {
"type": "integer",
"title": "Run Time",
"description": "Run time",
"order": 8
},
"sample_executed": {
"type": "integer",
"title": "Sample Executed",
"description": "Sample executed",
"order": 2
},
"sandcastle": {
"type": "string",
"title": "Sandcastle",
"description": "Sandcastle",
"order": 3
},
"vm": {
"type": "string",
"title": "VM",
"description": "VM",
"order": 5
},
"vm_id": {
"type": "string",
"title": "VM ID",
"description": "VM ID",
"order": 11
}
}
}
}
},
"sandcastle_env": {
"type": "object",
"title": "sandcastle_env",
"properties": {
"analysis_end": {
"type": "string",
"title": "Analysis End",
"description": "Analysis end",
"order": 6
},
"analysis_features": {
"type": "array",
"title": "Analysis Features",
"description": "Analysis features",
"items": {
"type": "object"
},
"order": 9
},
"analysis_start": {
"type": "string",
"title": "Analysis Start",
"description": "Analysis start",
"order": 7
},
"controlsubject": {
"type": "string",
"title": "Control Subject",
"description": "Control subject",
"order": 4
},
"current_os": {
"type": "string",
"title": "Current OS",
"description": "Current OS",
"order": 10
},
"display_name": {
"type": "string",
"title": "Display Name",
"description": "Display name",
"order": 1
},
"run_time": {
"type": "integer",
"title": "Run Time",
"description": "Run time",
"order": 8
},
"sample_executed": {
"type": "integer",
"title": "Sample Executed",
"description": "Sample executed",
"order": 2
},
"sandcastle": {
"type": "string",
"title": "Sandcastle",
"description": "Sandcastle",
"order": 3
},
"vm": {
"type": "string",
"title": "VM",
"description": "VM",
"order": 5
},
"vm_id": {
"type": "string",
"title": "VM ID",
"description": "VM ID",
"order": 11
}
}
}
}
}
""")
def __init__(self):
super(self.__class__, self).__init__(self.schema)
| 29.384273 | 70 | 0.321047 | 3,343 | 59,415 | 5.636554 | 0.032007 | 0.107732 | 0.160802 | 0.020061 | 0.939341 | 0.939341 | 0.939341 | 0.939341 | 0.921615 | 0.921615 | 0 | 0.020591 | 0.530826 | 59,415 | 2,021 | 71 | 29.398812 | 0.655367 | 0.000623 | 0 | 0.7749 | 1 | 0 | 0.991613 | 0.013575 | 0 | 0 | 0 | 0 | 0 | 1 | 0.000996 | false | 0 | 0.000996 | 0 | 0.006972 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
22ce7f815dddf9a2becc067bfc8dc4d38e50ae1d | 142 | py | Python | datamol/viz/__init__.py | hengwei-chan/fragmentation_and_assemble | 35b56dd1c97cfa6731bcbfd68c3eb01bfcd7668f | [
"Apache-2.0"
] | null | null | null | datamol/viz/__init__.py | hengwei-chan/fragmentation_and_assemble | 35b56dd1c97cfa6731bcbfd68c3eb01bfcd7668f | [
"Apache-2.0"
] | null | null | null | datamol/viz/__init__.py | hengwei-chan/fragmentation_and_assemble | 35b56dd1c97cfa6731bcbfd68c3eb01bfcd7668f | [
"Apache-2.0"
] | null | null | null | from ._viz import to_image
from ._conformers import conformers
from ._circle_grid import circle_grid
from ._circle_grid import MolsCircleGrid
| 28.4 | 40 | 0.859155 | 20 | 142 | 5.7 | 0.45 | 0.263158 | 0.245614 | 0.350877 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.112676 | 142 | 4 | 41 | 35.5 | 0.904762 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
22d96548e2331c5df3ff532d9696c16905a568ac | 106,961 | py | Python | napalm_yang/models/openconfig/network_instances/network_instance/state/__init__.py | ckishimo/napalm-yang | 8f2bd907bd3afcde3c2f8e985192de74748baf6c | [
"Apache-2.0"
] | 64 | 2016-10-20T15:47:18.000Z | 2021-11-11T11:57:32.000Z | napalm_yang/models/openconfig/network_instances/network_instance/state/__init__.py | ckishimo/napalm-yang | 8f2bd907bd3afcde3c2f8e985192de74748baf6c | [
"Apache-2.0"
] | 126 | 2016-10-05T10:36:14.000Z | 2019-05-15T08:43:23.000Z | napalm_yang/models/openconfig/network_instances/network_instance/state/__init__.py | ckishimo/napalm-yang | 8f2bd907bd3afcde3c2f8e985192de74748baf6c | [
"Apache-2.0"
] | 63 | 2016-11-07T15:23:08.000Z | 2021-09-22T14:41:16.000Z | # -*- coding: utf-8 -*-
from operator import attrgetter
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType
from pyangbind.lib.yangtypes import RestrictedClassType
from pyangbind.lib.yangtypes import TypedListType
from pyangbind.lib.yangtypes import YANGBool
from pyangbind.lib.yangtypes import YANGListType
from pyangbind.lib.yangtypes import YANGDynClass
from pyangbind.lib.yangtypes import ReferenceType
from pyangbind.lib.base import PybindBase
from collections import OrderedDict
from decimal import Decimal
from bitarray import bitarray
import six
# PY3 support of some PY2 keywords (needs improved)
if six.PY3:
import builtins as __builtin__
long = int
elif six.PY2:
import __builtin__
class state(PybindBase):
"""
This class was auto-generated by the PythonClass plugin for PYANG
from YANG module openconfig-network-instance - based on the path /network-instances/network-instance/state. Each member element of
the container is represented as a class variable - with a specific
YANG type.
YANG Description: Operational state parameters relating to a network
instance
"""
__slots__ = (
"_path_helper",
"_extmethods",
"__name",
"__type",
"__enabled",
"__description",
"__router_id",
"__route_distinguisher",
"__enabled_address_families",
"__mtu",
)
_yang_name = "state"
_pybind_generated_by = "container"
def __init__(self, *args, **kwargs):
self._path_helper = False
self._extmethods = False
self.__name = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="name",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=False,
)
self.__type = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"DEFAULT_INSTANCE": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:DEFAULT_INSTANCE": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L3VRF": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L3VRF": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2VSI": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2VSI": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2P2P": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2P2P": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2L3": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2L3": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
},
),
is_leaf=True,
yang_name="type",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="identityref",
is_config=False,
)
self.__enabled = YANGDynClass(
base=YANGBool,
is_leaf=True,
yang_name="enabled",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=False,
)
self.__description = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="description",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=False,
)
self.__router_id = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])"
},
),
is_leaf=True,
yang_name="router-id",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="yang:dotted-quad",
is_config=False,
)
self.__route_distinguisher = YANGDynClass(
base=[
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9]):(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5]):(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9]):(65[0-5][0-3][0-5]|[1-5]{2}[0-9]{3}|[1-9]{0,2}[0-9][0-9]|[1-9])$"
},
),
],
is_leaf=True,
yang_name="route-distinguisher",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-ni-types:route-distinguisher",
is_config=False,
)
self.__enabled_address_families = YANGDynClass(
base=TypedListType(
allowed_type=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
},
)
),
is_leaf=False,
yang_name="enabled-address-families",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="identityref",
is_config=False,
)
self.__mtu = YANGDynClass(
base=RestrictedClassType(
base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16
),
is_leaf=True,
yang_name="mtu",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="uint16",
is_config=False,
)
load = kwargs.pop("load", None)
if args:
if len(args) > 1:
raise TypeError("cannot create a YANG container with >1 argument")
all_attr = True
for e in self._pyangbind_elements:
if not hasattr(args[0], e):
all_attr = False
break
if not all_attr:
raise ValueError("Supplied object did not have the correct attributes")
for e in self._pyangbind_elements:
nobj = getattr(args[0], e)
if nobj._changed() is False:
continue
setmethod = getattr(self, "_set_%s" % e)
if load is None:
setmethod(getattr(args[0], e))
else:
setmethod(getattr(args[0], e), load=load)
def _path(self):
if hasattr(self, "_parent"):
return self._parent._path() + [self._yang_name]
else:
return ["network-instances", "network-instance", "state"]
def _get_name(self):
"""
Getter method for name, mapped from YANG variable /network_instances/network_instance/state/name (string)
YANG Description: An operator-assigned unique name for the forwarding
instance
"""
return self.__name
def _set_name(self, v, load=False):
"""
Setter method for name, mapped from YANG variable /network_instances/network_instance/state/name (string)
If this variable is read-only (config: false) in the
source YANG file, then _set_name is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_name() directly.
YANG Description: An operator-assigned unique name for the forwarding
instance
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=six.text_type,
is_leaf=True,
yang_name="name",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """name must be of a type compatible with string""",
"defined-type": "string",
"generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='string', is_config=False)""",
}
)
self.__name = t
if hasattr(self, "_set"):
self._set()
def _unset_name(self):
self.__name = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="name",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=False,
)
def _get_type(self):
"""
Getter method for type, mapped from YANG variable /network_instances/network_instance/state/type (identityref)
YANG Description: The type of network instance. The value of this leaf
indicates the type of forwarding entries that should be
supported by this network instance
"""
return self.__type
def _set_type(self, v, load=False):
"""
Setter method for type, mapped from YANG variable /network_instances/network_instance/state/type (identityref)
If this variable is read-only (config: false) in the
source YANG file, then _set_type is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_type() directly.
YANG Description: The type of network instance. The value of this leaf
indicates the type of forwarding entries that should be
supported by this network instance
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"DEFAULT_INSTANCE": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:DEFAULT_INSTANCE": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L3VRF": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L3VRF": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2VSI": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2VSI": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2P2P": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2P2P": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2L3": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2L3": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
},
),
is_leaf=True,
yang_name="type",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="identityref",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """type must be of a type compatible with identityref""",
"defined-type": "openconfig-network-instance:identityref",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'DEFAULT_INSTANCE': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'oc-ni-types:DEFAULT_INSTANCE': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'L3VRF': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'oc-ni-types:L3VRF': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'L2VSI': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'oc-ni-types:L2VSI': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'L2P2P': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'oc-ni-types:L2P2P': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'L2L3': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'oc-ni-types:L2L3': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}},), is_leaf=True, yang_name="type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""",
}
)
self.__type = t
if hasattr(self, "_set"):
self._set()
def _unset_type(self):
self.__type = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"DEFAULT_INSTANCE": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:DEFAULT_INSTANCE": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L3VRF": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L3VRF": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2VSI": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2VSI": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2P2P": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2P2P": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2L3": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2L3": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
},
),
is_leaf=True,
yang_name="type",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="identityref",
is_config=False,
)
def _get_enabled(self):
"""
Getter method for enabled, mapped from YANG variable /network_instances/network_instance/state/enabled (boolean)
YANG Description: Whether the network instance should be configured to be
active on the network element
"""
return self.__enabled
def _set_enabled(self, v, load=False):
"""
Setter method for enabled, mapped from YANG variable /network_instances/network_instance/state/enabled (boolean)
If this variable is read-only (config: false) in the
source YANG file, then _set_enabled is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_enabled() directly.
YANG Description: Whether the network instance should be configured to be
active on the network element
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=YANGBool,
is_leaf=True,
yang_name="enabled",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """enabled must be of a type compatible with boolean""",
"defined-type": "boolean",
"generated-type": """YANGDynClass(base=YANGBool, is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False)""",
}
)
self.__enabled = t
if hasattr(self, "_set"):
self._set()
def _unset_enabled(self):
self.__enabled = YANGDynClass(
base=YANGBool,
is_leaf=True,
yang_name="enabled",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=False,
)
def _get_description(self):
"""
Getter method for description, mapped from YANG variable /network_instances/network_instance/state/description (string)
YANG Description: A free-form string to be used by the network operator to
describe the function of this network instance
"""
return self.__description
def _set_description(self, v, load=False):
"""
Setter method for description, mapped from YANG variable /network_instances/network_instance/state/description (string)
If this variable is read-only (config: false) in the
source YANG file, then _set_description is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_description() directly.
YANG Description: A free-form string to be used by the network operator to
describe the function of this network instance
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=six.text_type,
is_leaf=True,
yang_name="description",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """description must be of a type compatible with string""",
"defined-type": "string",
"generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="description", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='string', is_config=False)""",
}
)
self.__description = t
if hasattr(self, "_set"):
self._set()
def _unset_description(self):
self.__description = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="description",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=False,
)
def _get_router_id(self):
"""
Getter method for router_id, mapped from YANG variable /network_instances/network_instance/state/router_id (yang:dotted-quad)
YANG Description: A identifier for the local network instance - typically
used within associated routing protocols or signalling
routing information in another network instance
"""
return self.__router_id
def _set_router_id(self, v, load=False):
"""
Setter method for router_id, mapped from YANG variable /network_instances/network_instance/state/router_id (yang:dotted-quad)
If this variable is read-only (config: false) in the
source YANG file, then _set_router_id is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_router_id() directly.
YANG Description: A identifier for the local network instance - typically
used within associated routing protocols or signalling
routing information in another network instance
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])"
},
),
is_leaf=True,
yang_name="router-id",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="yang:dotted-quad",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """router_id must be of a type compatible with yang:dotted-quad""",
"defined-type": "yang:dotted-quad",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])'}), is_leaf=True, yang_name="router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='yang:dotted-quad', is_config=False)""",
}
)
self.__router_id = t
if hasattr(self, "_set"):
self._set()
def _unset_router_id(self):
self.__router_id = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])"
},
),
is_leaf=True,
yang_name="router-id",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="yang:dotted-quad",
is_config=False,
)
def _get_route_distinguisher(self):
"""
Getter method for route_distinguisher, mapped from YANG variable /network_instances/network_instance/state/route_distinguisher (oc-ni-types:route-distinguisher)
YANG Description: The route distinguisher that should be used for the local
VRF or VSI instance when it is signalled via BGP.
"""
return self.__route_distinguisher
def _set_route_distinguisher(self, v, load=False):
"""
Setter method for route_distinguisher, mapped from YANG variable /network_instances/network_instance/state/route_distinguisher (oc-ni-types:route-distinguisher)
If this variable is read-only (config: false) in the
source YANG file, then _set_route_distinguisher is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_route_distinguisher() directly.
YANG Description: The route distinguisher that should be used for the local
VRF or VSI instance when it is signalled via BGP.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=[
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9]):(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5]):(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9]):(65[0-5][0-3][0-5]|[1-5]{2}[0-9]{3}|[1-9]{0,2}[0-9][0-9]|[1-9])$"
},
),
],
is_leaf=True,
yang_name="route-distinguisher",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-ni-types:route-distinguisher",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """route_distinguisher must be of a type compatible with oc-ni-types:route-distinguisher""",
"defined-type": "oc-ni-types:route-distinguisher",
"generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '^(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9]):(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9])$'}),RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5]):(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9])$'}),RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '^(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9]):(65[0-5][0-3][0-5]|[1-5]{2}[0-9]{3}|[1-9]{0,2}[0-9][0-9]|[1-9])$'}),], is_leaf=True, yang_name="route-distinguisher", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-ni-types:route-distinguisher', is_config=False)""",
}
)
self.__route_distinguisher = t
if hasattr(self, "_set"):
self._set()
def _unset_route_distinguisher(self):
self.__route_distinguisher = YANGDynClass(
base=[
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9]):(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5]):(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9]):(65[0-5][0-3][0-5]|[1-5]{2}[0-9]{3}|[1-9]{0,2}[0-9][0-9]|[1-9])$"
},
),
],
is_leaf=True,
yang_name="route-distinguisher",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-ni-types:route-distinguisher",
is_config=False,
)
def _get_enabled_address_families(self):
"""
Getter method for enabled_address_families, mapped from YANG variable /network_instances/network_instance/state/enabled_address_families (identityref)
YANG Description: The address families that are to be enabled for this
network instance.
"""
return self.__enabled_address_families
def _set_enabled_address_families(self, v, load=False):
"""
Setter method for enabled_address_families, mapped from YANG variable /network_instances/network_instance/state/enabled_address_families (identityref)
If this variable is read-only (config: false) in the
source YANG file, then _set_enabled_address_families is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_enabled_address_families() directly.
YANG Description: The address families that are to be enabled for this
network instance.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=TypedListType(
allowed_type=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
},
)
),
is_leaf=False,
yang_name="enabled-address-families",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="identityref",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """enabled_address_families must be of a type compatible with identityref""",
"defined-type": "openconfig-network-instance:identityref",
"generated-type": """YANGDynClass(base=TypedListType(allowed_type=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'IPV4': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'oc-types:IPV4': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'octypes:IPV4': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'IPV6': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'oc-types:IPV6': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'octypes:IPV6': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'MPLS': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'oc-types:MPLS': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'octypes:MPLS': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'L2_ETHERNET': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'oc-types:L2_ETHERNET': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'octypes:L2_ETHERNET': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}},)), is_leaf=False, yang_name="enabled-address-families", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""",
}
)
self.__enabled_address_families = t
if hasattr(self, "_set"):
self._set()
def _unset_enabled_address_families(self):
self.__enabled_address_families = YANGDynClass(
base=TypedListType(
allowed_type=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
},
)
),
is_leaf=False,
yang_name="enabled-address-families",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="identityref",
is_config=False,
)
def _get_mtu(self):
"""
Getter method for mtu, mapped from YANG variable /network_instances/network_instance/state/mtu (uint16)
YANG Description: The maximum frame size which should be supported for this
instance for Layer 2 frames
"""
return self.__mtu
def _set_mtu(self, v, load=False):
"""
Setter method for mtu, mapped from YANG variable /network_instances/network_instance/state/mtu (uint16)
If this variable is read-only (config: false) in the
source YANG file, then _set_mtu is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_mtu() directly.
YANG Description: The maximum frame size which should be supported for this
instance for Layer 2 frames
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16
),
is_leaf=True,
yang_name="mtu",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="uint16",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """mtu must be of a type compatible with uint16""",
"defined-type": "uint16",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..65535']},int_size=16), is_leaf=True, yang_name="mtu", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint16', is_config=False)""",
}
)
self.__mtu = t
if hasattr(self, "_set"):
self._set()
def _unset_mtu(self):
self.__mtu = YANGDynClass(
base=RestrictedClassType(
base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16
),
is_leaf=True,
yang_name="mtu",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="uint16",
is_config=False,
)
name = __builtin__.property(_get_name)
type = __builtin__.property(_get_type)
enabled = __builtin__.property(_get_enabled)
description = __builtin__.property(_get_description)
router_id = __builtin__.property(_get_router_id)
route_distinguisher = __builtin__.property(_get_route_distinguisher)
enabled_address_families = __builtin__.property(_get_enabled_address_families)
mtu = __builtin__.property(_get_mtu)
_pyangbind_elements = OrderedDict(
[
("name", name),
("type", type),
("enabled", enabled),
("description", description),
("router_id", router_id),
("route_distinguisher", route_distinguisher),
("enabled_address_families", enabled_address_families),
("mtu", mtu),
]
)
class state(PybindBase):
"""
This class was auto-generated by the PythonClass plugin for PYANG
from YANG module openconfig-network-instance-l2 - based on the path /network-instances/network-instance/state. Each member element of
the container is represented as a class variable - with a specific
YANG type.
YANG Description: Operational state parameters relating to a network
instance
"""
__slots__ = (
"_path_helper",
"_extmethods",
"__name",
"__type",
"__enabled",
"__description",
"__router_id",
"__route_distinguisher",
"__enabled_address_families",
"__mtu",
)
_yang_name = "state"
_pybind_generated_by = "container"
def __init__(self, *args, **kwargs):
self._path_helper = False
self._extmethods = False
self.__name = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="name",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=False,
)
self.__type = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"DEFAULT_INSTANCE": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:DEFAULT_INSTANCE": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L3VRF": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L3VRF": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2VSI": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2VSI": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2P2P": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2P2P": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2L3": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2L3": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
},
),
is_leaf=True,
yang_name="type",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="identityref",
is_config=False,
)
self.__enabled = YANGDynClass(
base=YANGBool,
is_leaf=True,
yang_name="enabled",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=False,
)
self.__description = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="description",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=False,
)
self.__router_id = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])"
},
),
is_leaf=True,
yang_name="router-id",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="yang:dotted-quad",
is_config=False,
)
self.__route_distinguisher = YANGDynClass(
base=[
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9]):(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5]):(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9]):(65[0-5][0-3][0-5]|[1-5]{2}[0-9]{3}|[1-9]{0,2}[0-9][0-9]|[1-9])$"
},
),
],
is_leaf=True,
yang_name="route-distinguisher",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-ni-types:route-distinguisher",
is_config=False,
)
self.__enabled_address_families = YANGDynClass(
base=TypedListType(
allowed_type=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
},
)
),
is_leaf=False,
yang_name="enabled-address-families",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="identityref",
is_config=False,
)
self.__mtu = YANGDynClass(
base=RestrictedClassType(
base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16
),
is_leaf=True,
yang_name="mtu",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="uint16",
is_config=False,
)
load = kwargs.pop("load", None)
if args:
if len(args) > 1:
raise TypeError("cannot create a YANG container with >1 argument")
all_attr = True
for e in self._pyangbind_elements:
if not hasattr(args[0], e):
all_attr = False
break
if not all_attr:
raise ValueError("Supplied object did not have the correct attributes")
for e in self._pyangbind_elements:
nobj = getattr(args[0], e)
if nobj._changed() is False:
continue
setmethod = getattr(self, "_set_%s" % e)
if load is None:
setmethod(getattr(args[0], e))
else:
setmethod(getattr(args[0], e), load=load)
def _path(self):
if hasattr(self, "_parent"):
return self._parent._path() + [self._yang_name]
else:
return ["network-instances", "network-instance", "state"]
def _get_name(self):
"""
Getter method for name, mapped from YANG variable /network_instances/network_instance/state/name (string)
YANG Description: An operator-assigned unique name for the forwarding
instance
"""
return self.__name
def _set_name(self, v, load=False):
"""
Setter method for name, mapped from YANG variable /network_instances/network_instance/state/name (string)
If this variable is read-only (config: false) in the
source YANG file, then _set_name is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_name() directly.
YANG Description: An operator-assigned unique name for the forwarding
instance
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=six.text_type,
is_leaf=True,
yang_name="name",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """name must be of a type compatible with string""",
"defined-type": "string",
"generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='string', is_config=False)""",
}
)
self.__name = t
if hasattr(self, "_set"):
self._set()
def _unset_name(self):
self.__name = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="name",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=False,
)
def _get_type(self):
"""
Getter method for type, mapped from YANG variable /network_instances/network_instance/state/type (identityref)
YANG Description: The type of network instance. The value of this leaf
indicates the type of forwarding entries that should be
supported by this network instance
"""
return self.__type
def _set_type(self, v, load=False):
"""
Setter method for type, mapped from YANG variable /network_instances/network_instance/state/type (identityref)
If this variable is read-only (config: false) in the
source YANG file, then _set_type is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_type() directly.
YANG Description: The type of network instance. The value of this leaf
indicates the type of forwarding entries that should be
supported by this network instance
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"DEFAULT_INSTANCE": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:DEFAULT_INSTANCE": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L3VRF": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L3VRF": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2VSI": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2VSI": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2P2P": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2P2P": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2L3": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2L3": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
},
),
is_leaf=True,
yang_name="type",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="identityref",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """type must be of a type compatible with identityref""",
"defined-type": "openconfig-network-instance:identityref",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'DEFAULT_INSTANCE': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'oc-ni-types:DEFAULT_INSTANCE': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'L3VRF': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'oc-ni-types:L3VRF': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'L2VSI': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'oc-ni-types:L2VSI': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'L2P2P': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'oc-ni-types:L2P2P': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'L2L3': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}, 'oc-ni-types:L2L3': {'@module': 'openconfig-network-instance-types', '@namespace': 'http://openconfig.net/yang/network-instance-types'}},), is_leaf=True, yang_name="type", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""",
}
)
self.__type = t
if hasattr(self, "_set"):
self._set()
def _unset_type(self):
self.__type = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"DEFAULT_INSTANCE": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:DEFAULT_INSTANCE": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L3VRF": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L3VRF": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2VSI": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2VSI": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2P2P": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2P2P": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"L2L3": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
"oc-ni-types:L2L3": {
"@module": "openconfig-network-instance-types",
"@namespace": "http://openconfig.net/yang/network-instance-types",
},
},
),
is_leaf=True,
yang_name="type",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="identityref",
is_config=False,
)
def _get_enabled(self):
"""
Getter method for enabled, mapped from YANG variable /network_instances/network_instance/state/enabled (boolean)
YANG Description: Whether the network instance should be configured to be
active on the network element
"""
return self.__enabled
def _set_enabled(self, v, load=False):
"""
Setter method for enabled, mapped from YANG variable /network_instances/network_instance/state/enabled (boolean)
If this variable is read-only (config: false) in the
source YANG file, then _set_enabled is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_enabled() directly.
YANG Description: Whether the network instance should be configured to be
active on the network element
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=YANGBool,
is_leaf=True,
yang_name="enabled",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """enabled must be of a type compatible with boolean""",
"defined-type": "boolean",
"generated-type": """YANGDynClass(base=YANGBool, is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False)""",
}
)
self.__enabled = t
if hasattr(self, "_set"):
self._set()
def _unset_enabled(self):
self.__enabled = YANGDynClass(
base=YANGBool,
is_leaf=True,
yang_name="enabled",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="boolean",
is_config=False,
)
def _get_description(self):
"""
Getter method for description, mapped from YANG variable /network_instances/network_instance/state/description (string)
YANG Description: A free-form string to be used by the network operator to
describe the function of this network instance
"""
return self.__description
def _set_description(self, v, load=False):
"""
Setter method for description, mapped from YANG variable /network_instances/network_instance/state/description (string)
If this variable is read-only (config: false) in the
source YANG file, then _set_description is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_description() directly.
YANG Description: A free-form string to be used by the network operator to
describe the function of this network instance
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=six.text_type,
is_leaf=True,
yang_name="description",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """description must be of a type compatible with string""",
"defined-type": "string",
"generated-type": """YANGDynClass(base=six.text_type, is_leaf=True, yang_name="description", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='string', is_config=False)""",
}
)
self.__description = t
if hasattr(self, "_set"):
self._set()
def _unset_description(self):
self.__description = YANGDynClass(
base=six.text_type,
is_leaf=True,
yang_name="description",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="string",
is_config=False,
)
def _get_router_id(self):
"""
Getter method for router_id, mapped from YANG variable /network_instances/network_instance/state/router_id (yang:dotted-quad)
YANG Description: A identifier for the local network instance - typically
used within associated routing protocols or signalling
routing information in another network instance
"""
return self.__router_id
def _set_router_id(self, v, load=False):
"""
Setter method for router_id, mapped from YANG variable /network_instances/network_instance/state/router_id (yang:dotted-quad)
If this variable is read-only (config: false) in the
source YANG file, then _set_router_id is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_router_id() directly.
YANG Description: A identifier for the local network instance - typically
used within associated routing protocols or signalling
routing information in another network instance
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])"
},
),
is_leaf=True,
yang_name="router-id",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="yang:dotted-quad",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """router_id must be of a type compatible with yang:dotted-quad""",
"defined-type": "yang:dotted-quad",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])'}), is_leaf=True, yang_name="router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='yang:dotted-quad', is_config=False)""",
}
)
self.__router_id = t
if hasattr(self, "_set"):
self._set()
def _unset_router_id(self):
self.__router_id = YANGDynClass(
base=RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])"
},
),
is_leaf=True,
yang_name="router-id",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="yang:dotted-quad",
is_config=False,
)
def _get_route_distinguisher(self):
"""
Getter method for route_distinguisher, mapped from YANG variable /network_instances/network_instance/state/route_distinguisher (oc-ni-types:route-distinguisher)
YANG Description: The route distinguisher that should be used for the local
VRF or VSI instance when it is signalled via BGP.
"""
return self.__route_distinguisher
def _set_route_distinguisher(self, v, load=False):
"""
Setter method for route_distinguisher, mapped from YANG variable /network_instances/network_instance/state/route_distinguisher (oc-ni-types:route-distinguisher)
If this variable is read-only (config: false) in the
source YANG file, then _set_route_distinguisher is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_route_distinguisher() directly.
YANG Description: The route distinguisher that should be used for the local
VRF or VSI instance when it is signalled via BGP.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=[
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9]):(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5]):(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9]):(65[0-5][0-3][0-5]|[1-5]{2}[0-9]{3}|[1-9]{0,2}[0-9][0-9]|[1-9])$"
},
),
],
is_leaf=True,
yang_name="route-distinguisher",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-ni-types:route-distinguisher",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """route_distinguisher must be of a type compatible with oc-ni-types:route-distinguisher""",
"defined-type": "oc-ni-types:route-distinguisher",
"generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '^(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9]):(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9])$'}),RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5]):(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9])$'}),RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '^(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9]):(65[0-5][0-3][0-5]|[1-5]{2}[0-9]{3}|[1-9]{0,2}[0-9][0-9]|[1-9])$'}),], is_leaf=True, yang_name="route-distinguisher", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='oc-ni-types:route-distinguisher', is_config=False)""",
}
)
self.__route_distinguisher = t
if hasattr(self, "_set"):
self._set()
def _unset_route_distinguisher(self):
self.__route_distinguisher = YANGDynClass(
base=[
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9]):(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5]):(65[0-5][0-3][0-5]|[1-5][1-5][0-9][0-9][0-9]|[1-9]?[1-9]?[0-9][0-9]|[1-9])$"
},
),
RestrictedClassType(
base_type=six.text_type,
restriction_dict={
"pattern": "^(4[0-2][0-9][0-4][0-9][0-6][0-7][0-2][0-9][0-5]|[0-3][0-9]{9}|[1-9][0-9]{1,8}|[1-9]):(65[0-5][0-3][0-5]|[1-5]{2}[0-9]{3}|[1-9]{0,2}[0-9][0-9]|[1-9])$"
},
),
],
is_leaf=True,
yang_name="route-distinguisher",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="oc-ni-types:route-distinguisher",
is_config=False,
)
def _get_enabled_address_families(self):
"""
Getter method for enabled_address_families, mapped from YANG variable /network_instances/network_instance/state/enabled_address_families (identityref)
YANG Description: The address families that are to be enabled for this
network instance.
"""
return self.__enabled_address_families
def _set_enabled_address_families(self, v, load=False):
"""
Setter method for enabled_address_families, mapped from YANG variable /network_instances/network_instance/state/enabled_address_families (identityref)
If this variable is read-only (config: false) in the
source YANG file, then _set_enabled_address_families is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_enabled_address_families() directly.
YANG Description: The address families that are to be enabled for this
network instance.
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=TypedListType(
allowed_type=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
},
)
),
is_leaf=False,
yang_name="enabled-address-families",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="identityref",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """enabled_address_families must be of a type compatible with identityref""",
"defined-type": "openconfig-network-instance:identityref",
"generated-type": """YANGDynClass(base=TypedListType(allowed_type=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'IPV4': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'oc-types:IPV4': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'octypes:IPV4': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'IPV6': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'oc-types:IPV6': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'octypes:IPV6': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'MPLS': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'oc-types:MPLS': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'octypes:MPLS': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'L2_ETHERNET': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'oc-types:L2_ETHERNET': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}, 'octypes:L2_ETHERNET': {'@module': 'openconfig-types', '@namespace': 'http://openconfig.net/yang/openconfig-types'}},)), is_leaf=False, yang_name="enabled-address-families", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""",
}
)
self.__enabled_address_families = t
if hasattr(self, "_set"):
self._set()
def _unset_enabled_address_families(self):
self.__enabled_address_families = YANGDynClass(
base=TypedListType(
allowed_type=RestrictedClassType(
base_type=six.text_type,
restriction_type="dict_key",
restriction_arg={
"IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:IPV4": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:IPV6": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:MPLS": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"oc-types:L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
"octypes:L2_ETHERNET": {
"@module": "openconfig-types",
"@namespace": "http://openconfig.net/yang/openconfig-types",
},
},
)
),
is_leaf=False,
yang_name="enabled-address-families",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="identityref",
is_config=False,
)
def _get_mtu(self):
"""
Getter method for mtu, mapped from YANG variable /network_instances/network_instance/state/mtu (uint16)
YANG Description: The maximum frame size which should be supported for this
instance for Layer 2 frames
"""
return self.__mtu
def _set_mtu(self, v, load=False):
"""
Setter method for mtu, mapped from YANG variable /network_instances/network_instance/state/mtu (uint16)
If this variable is read-only (config: false) in the
source YANG file, then _set_mtu is considered as a private
method. Backends looking to populate this variable should
do so via calling thisObj._set_mtu() directly.
YANG Description: The maximum frame size which should be supported for this
instance for Layer 2 frames
"""
if hasattr(v, "_utype"):
v = v._utype(v)
try:
t = YANGDynClass(
v,
base=RestrictedClassType(
base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16
),
is_leaf=True,
yang_name="mtu",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="uint16",
is_config=False,
)
except (TypeError, ValueError):
raise ValueError(
{
"error-string": """mtu must be of a type compatible with uint16""",
"defined-type": "uint16",
"generated-type": """YANGDynClass(base=RestrictedClassType(base_type=int, restriction_dict={'range': ['0..65535']},int_size=16), is_leaf=True, yang_name="mtu", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint16', is_config=False)""",
}
)
self.__mtu = t
if hasattr(self, "_set"):
self._set()
def _unset_mtu(self):
self.__mtu = YANGDynClass(
base=RestrictedClassType(
base_type=int, restriction_dict={"range": ["0..65535"]}, int_size=16
),
is_leaf=True,
yang_name="mtu",
parent=self,
path_helper=self._path_helper,
extmethods=self._extmethods,
register_paths=True,
namespace="http://openconfig.net/yang/network-instance",
defining_module="openconfig-network-instance",
yang_type="uint16",
is_config=False,
)
name = __builtin__.property(_get_name)
type = __builtin__.property(_get_type)
enabled = __builtin__.property(_get_enabled)
description = __builtin__.property(_get_description)
router_id = __builtin__.property(_get_router_id)
route_distinguisher = __builtin__.property(_get_route_distinguisher)
enabled_address_families = __builtin__.property(_get_enabled_address_families)
mtu = __builtin__.property(_get_mtu)
_pyangbind_elements = OrderedDict(
[
("name", name),
("type", type),
("enabled", enabled),
("description", description),
("router_id", router_id),
("route_distinguisher", route_distinguisher),
("enabled_address_families", enabled_address_families),
("mtu", mtu),
]
)
| 48.596547 | 1,790 | 0.522284 | 10,922 | 106,961 | 4.960813 | 0.023256 | 0.099664 | 0.101879 | 0.115167 | 0.993079 | 0.989074 | 0.989074 | 0.989074 | 0.989074 | 0.989074 | 0 | 0.029743 | 0.341797 | 106,961 | 2,200 | 1,791 | 48.618636 | 0.739865 | 0.121829 | 0 | 0.838074 | 0 | 0.021882 | 0.391477 | 0.14622 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028446 | false | 0 | 0.008206 | 0 | 0.061816 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
22eadcfa6b1672100ae17cef89852684b3470963 | 23,975 | py | Python | src/backend/tests/fixtures/john_doe.py | NickSchimek/recordexpungPDX | 34ed0f3cb5b7368a935a11306d3143d0d154c2de | [
"CNRI-Python",
"RSA-MD",
"Xnet",
"Linux-OpenIB",
"FTL",
"X11"
] | null | null | null | src/backend/tests/fixtures/john_doe.py | NickSchimek/recordexpungPDX | 34ed0f3cb5b7368a935a11306d3143d0d154c2de | [
"CNRI-Python",
"RSA-MD",
"Xnet",
"Linux-OpenIB",
"FTL",
"X11"
] | 93 | 2019-12-07T01:43:50.000Z | 2021-08-01T13:30:44.000Z | src/backend/tests/fixtures/john_doe.py | NickSchimek/recordexpungPDX | 34ed0f3cb5b7368a935a11306d3143d0d154c2de | [
"CNRI-Python",
"RSA-MD",
"Xnet",
"Linux-OpenIB",
"FTL",
"X11"
] | null | null | null | class JohnDoe:
RECORD = '''
<html>
<head>
<link rel="stylesheet" type="text/css" href="CSS/PublicAccess.css">
</head>
<body>
<?xml version="1.0" encoding="utf-8"?><table cellspacing="0" cellpadding="0" width="100%" border="0" style="table-layout: fixed; margin:0px; padding:0px;"><tr><td class="ssHeaderTitleBanner">Criminal, Traffic and Parking Case Records Search Results</td></tr></table><table cellspacing="0" cellpadding="0" width="100%" border="0" style="table-layout: fixed; margin:0px; padding:0px;"><tr><td bgcolor="#000000" height="20px"><table cellspacing="0" cellpadding="0" width="100%" border="0"><tr><td align="left" style="padding-left: 5px"><font size="1"><a class="ssBlackNavBarHyperlink" href="#MainContent">Skip to Main Content</a> <a class="ssBlackNavBarHyperlink" href="logout.aspx">Logout</a> <a class="ssBlackNavBarHyperlink" href="MyAccount.aspx?ReturnURL=default.aspx">My Account</a> <a class="ssBlackNavBarHyperlink" href="default.aspx">Search Menu</a> <a class="ssBlackNavBarHyperlink" href="Search.aspx?ID=100">Search Criminal, Traffic and Parking Case Records</a> <a class="ssBlackNavBarHyperlink" href="Search.aspx?ID=100&RefineSearch=1">Refine Search</a> </font></td><td align="center" class="ssBlackNavBarLocation"></td><td align="right" style="padding-right: 10px"><table cellspacing="0" cellpadding="0" border="0"><tr><td class="ssBlackNavBarLocation">
Location : All Locations</td><td><font size="1"><a class="ssBlackNavBarHyperlink" target="_blank" href="#">Help</a></font></td></tr></table></td></tr></table></td></tr></table><a id="MainContent" name="MainContent" tabindex="-1"></a><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="width:85px;"><b>Record Count: </b></td><td style="text-align:left;"><b>168</b></td></tr><tr><td id="SearchParamList" colspan="2"><b>Search By:</b> Defendant <b>Exact Name:</b> on <b>Party Search Mode:</b> Name <b>Last Name:</b> doe <b>First Name:</b> john <b>All</b> All <b>Sort By:</b> Filed Date </td></tr></table><table border="0" cellpadding="2" cellspacing="0" width="100%" style="font-size: 8pt; font-family: arial"><col width="15%" /><col width="15%" /><col width="15%" /><col width="15%" /><col width="15%" /><col width="25%" /><tr><th class="ssSearchResultHeader" nowrap="true"><b>Case Number</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Citation Number</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Defendant Info</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Filed/Location</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Type</b><b>/Status</b></th><th class="ssSearchResultHeader" nowrap="true"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td><b>Charge(s)</b></td></tr></table></th></tr><tr height="3"><td colspan="6"></td></tr><tr><td nowrap="true" valign="top"><a href="CaseDetail.aspx?CaseID=X0001" style="color: blue">X0001</a></td><td nowrap="true" valign="top"><div style="overflow:hidden">C0001</div><div style="overflow:hidden">C0001</div><div style="overflow:hidden">C0001</div></td><td nowrap="true" valign="top"><div>Doe, John D</div><div>1943</div></td><td valign="top" nowrap="true"><div>03/23/1963</div><div>Multnomah</div></td><td valign="top" nowrap="true"><div>Offense Misdemeanor</div><div>Closed</div></td><td nowrap="true" valign="top"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="vertical-align:top;">Attempt to Commit a Class C/Unclassified Felony</td></tr><tr><td style="vertical-align:top;">Drug Free Zone Variance</td></tr><tr><td style="vertical-align:top;">Criminal Trespass in the Second Degree</td></tr></table></td></tr><tr bgcolor="#EEEEEE"><td nowrap="true" valign="top"><a href="CaseDetail.aspx?CaseID=X0002" style="color: blue">X0002</a></td><td nowrap="true" valign="top"><div style="overflow:hidden">C0002</div><div style="overflow:hidden">C0002</div></td><td nowrap="true" valign="top"><div>Doe, John D</div><div>1943</div></td><td valign="top" nowrap="true"><div>04/11/1963</div><div>Multnomah</div></td><td valign="top" nowrap="true"><div>Offense Felony</div><div>Closed</div></td><td nowrap="true" valign="top"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="vertical-align:top;">Poss Controlled Sub 2 (Reduced - to A Misdemeanor)</td></tr><tr><td style="vertical-align:top;">Drug Free Zone Variance</td></tr></table></td></tr><tr><td nowrap="true" valign="top"><a href="CaseDetail.aspx?CaseID=X0003" style="color: blue">X0003</a></td><td nowrap="true" valign="top"><div style="overflow:hidden"></div></td><td nowrap="true" valign="top"><div>Doe, John D</div><div>1943</div></td><td valign="top" nowrap="true"><div>04/01/2012</div><div>Multnomah</div></td><td valign="top" nowrap="true"><div>Offense Misdemeanor</div><div>Open</div></td><td nowrap="true" valign="top"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="vertical-align:top;">Poss Controlled Sub 2 (Reduced - to A Misdemeanor)</td></tr></table></td></tr></table>
</body>
</html>
'''
BLANK_RECORD = '''
<html>
<head>
<link rel="stylesheet" type="text/css" href="CSS/PublicAccess.css">
</head>
<body>
<?xml version="1.0" encoding="utf-8"?><table cellspacing="0" cellpadding="0" width="100%" border="0" style="table-layout: fixed; margin:0px; padding:0px;"><tr><td class="ssHeaderTitleBanner">Criminal, Traffic and Parking Case Records Search Results</td></tr></table><table cellspacing="0" cellpadding="0" width="100%" border="0" style="table-layout: fixed; margin:0px; padding:0px;"><tr><td bgcolor="#000000" height="20px"><table cellspacing="0" cellpadding="0" width="100%" border="0"><tr><td align="left" style="padding-left: 5px"><font size="1"><a class="ssBlackNavBarHyperlink" href="#MainContent">Skip to Main Content</a> <a class="ssBlackNavBarHyperlink" href="logout.aspx">Logout</a> <a class="ssBlackNavBarHyperlink" href="#">My Account</a> <a class="ssBlackNavBarHyperlink" href="default.aspx">Search Menu</a> <a class="ssBlackNavBarHyperlink" href="Search.aspx?ID=100">Search Criminal, Traffic and Parking Case Records</a> <a class="ssBlackNavBarHyperlink" href="Search.aspx?ID=100&RefineSearch=1">Refine Search</a> </font></td><td align="center" class="ssBlackNavBarLocation"></td><td align="right" style="padding-right: 10px"><table cellspacing="0" cellpadding="0" border="0"><tr><td class="ssBlackNavBarLocation">
Location : All Locations</td><td><font size="1"><a class="ssBlackNavBarHyperlink" target="_blank" href="#">Help</a></font></td></tr></table></td></tr></table></td></tr></table><a id="MainContent" name="MainContent" tabindex="-1"></a><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="width:85px;"><b>Record Count: </b></td><td style="text-align:left;"><b>0</b></td></tr><tr><td id="SearchParamList" colspan="2"><b>Search By:</b> Defendant <b>Exact Name:</b> on <b>Party Search Mode:</b> Name <b>Last Name:</b> doe <b>First Name:</b> john <b>All</b> All <b>Sort By:</b> Filed Date </td></tr></table><table border="0" cellpadding="2" cellspacing="0" width="100%" style="font-size: 8pt; font-family: arial"><col width="15%" /><col width="15%" /><col width="15%" /><col width="15%" /><col width="15%" /><col width="25%" /><tr><th class="ssSearchResultHeader" nowrap="true"><b>Case Number</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Citation Number</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Defendant Info</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Filed/Location</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Type</b><b>/Status</b></th><th class="ssSearchResultHeader" nowrap="true"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td><b>Charge(s)</b></td></tr></table></th></tr><tr height="3"><td colspan="6"></td></tr><tr height="100"><td colspan="6" align="center"><b>No cases matched your search criteria.</b></td></tr></table>
</body>
</html>
'''
SINGLE_CASE_RECORD = '''
<html>
<head>
</head>
<body>
<?xml version="1.0" encoding="utf-8"?><table><tr><td>Criminal, Traffic and Parking Case Records Search Results</td></tr></table><table><tr><td bgcolor="#000000" height="20px"><table cellspacing="0" cellpadding="0" width="100%" border="0"><tr><td align="left" style="padding-left: 5px"><font size="1"><a class="ssBlackNavBarHyperlink" href="#MainContent">Skip to Main Content</a> <a class="ssBlackNavBarHyperlink" href="logout.aspx">Logout</a> <a class="ssBlackNavBarHyperlink" href="MyAccount.aspx?ReturnURL=default.aspx">My Account</a> <a class="ssBlackNavBarHyperlink" href="default.aspx">Search Menu</a> <a class="ssBlackNavBarHyperlink" href="Search.aspx?ID=100">Search Criminal, Traffic and Parking Case Records</a> <a class="ssBlackNavBarHyperlink" href="Search.aspx?ID=100&RefineSearch=1">Refine Search</a> </font></td><td align="center" class="ssBlackNavBarLocation"></td><td align="right" style="padding-right: 10px"><table cellspacing="0" cellpadding="0" border="0"><tr><td class="ssBlackNavBarLocation">
Location : All Locations</td><td><font size="1"><a class="ssBlackNavBarHyperlink" target="_blank" href="http://www.courts.oregon.gov/services/online/Documents/OJCIN/OECI/PA_QRefG_OJIN.pdf">Help</a></font></td></tr></table></td></tr></table></td></tr></table><a id="MainContent" name="MainContent" tabindex="-1" xmlns:msxsl="urn:schemas-microsoft-com:xslt" xmlns:user="http://www.tylertechnologies.com" xmlns:PublicAccessUser="urn:PublicAccessUser"></a><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial" xmlns:msxsl="urn:schemas-microsoft-com:xslt" xmlns:user="http://www.tylertechnologies.com" xmlns:PublicAccessUser="urn:PublicAccessUser"><tr><td style="width:85px;"><b>Record Count: </b></td><td style="text-align:left;"><b>1</b></td></tr><tr><td id="SearchParamList" colspan="2"><b>Search By:</b> Defendant <b>Exact Name:</b> on <b>Party Search Mode:</b> Name <b>Last Name:</b> doe <b>First Name:</b> john <b>All</b> All <b>Sort By:</b> Filed Date </td></tr></table><table border="0" cellpadding="2" cellspacing="0" width="100%" style="font-size: 8pt; font-family: arial" xmlns:msxsl="urn:schemas-microsoft-com:xslt" xmlns:user="http://www.tylertechnologies.com" xmlns:PublicAccessUser="urn:PublicAccessUser"><col width="15%" /><col width="15%" /><col width="15%" /><col width="15%" /><col width="15%" /><col width="25%" /><tr><th class="ssSearchResultHeader" nowrap="true"><b>Case Number</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Citation Number</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Defendant Info</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Filed/Location</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Type</b><b>/Status</b></th><th class="ssSearchResultHeader" nowrap="true"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td><b>Charge(s)</b></td></tr></table></th></tr><tr height="3"><td colspan="6"></td></tr><tr><td nowrap="true" valign="top"><a href="CaseDetail.aspx?CaseID=CASEJD1" style="color: blue">CASEJD1</a></td><td nowrap="true" valign="top"><div style="overflow:hidden">CASEJD1</div></td><td nowrap="true" valign="top"><div>DOE, JOHN</div><div>1969</div></td><td valign="top" nowrap="true"><div>09/05/2008</div><div>Multnomah</div></td><td valign="top" nowrap="true"><div>Municipal Parking</div><div>Closed</div></td><td nowrap="true" valign="top"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="vertical-align:top;">Loading Zone </td></tr></table></td></tr></table>
</body>
</html>
'''
RECORD_WITH_CLOSED_CASES = '''
<html>
<head>
<link rel="stylesheet" type="text/css" href="CSS/PublicAccess.css">
</head>
<body>
<?xml version="1.0" encoding="utf-8"?><table cellspacing="0" cellpadding="0" width="100%" border="0" style="table-layout: fixed; margin:0px; padding:0px;"><tr><td class="ssHeaderTitleBanner">Criminal, Traffic and Parking Case Records Search Results</td></tr></table><table cellspacing="0" cellpadding="0" width="100%" border="0" style="table-layout: fixed; margin:0px; padding:0px;"><tr><td bgcolor="#000000" height="20px"><table cellspacing="0" cellpadding="0" width="100%" border="0"><tr><td align="left" style="padding-left: 5px"><font size="1"><a class="ssBlackNavBarHyperlink" href="#MainContent">Skip to Main Content</a> <a class="ssBlackNavBarHyperlink" href="logout.aspx">Logout</a> <a class="ssBlackNavBarHyperlink" href="MyAccount.aspx?ReturnURL=default.aspx">My Account</a> <a class="ssBlackNavBarHyperlink" href="default.aspx">Search Menu</a> <a class="ssBlackNavBarHyperlink" href="Search.aspx?ID=100">Search Criminal, Traffic and Parking Case Records</a> <a class="ssBlackNavBarHyperlink" href="Search.aspx?ID=100&RefineSearch=1">Refine Search</a> </font></td><td align="center" class="ssBlackNavBarLocation"></td><td align="right" style="padding-right: 10px"><table cellspacing="0" cellpadding="0" border="0"><tr><td class="ssBlackNavBarLocation">
Location : All Locations</td><td><font size="1"><a class="ssBlackNavBarHyperlink" target="_blank" href="#">Help</a></font></td></tr></table></td></tr></table></td></tr></table><a id="MainContent" name="MainContent" tabindex="-1"></a><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="width:85px;"><b>Record Count: </b></td><td style="text-align:left;"><b>168</b></td></tr><tr><td id="SearchParamList" colspan="2"><b>Search By:</b> Defendant <b>Exact Name:</b> on <b>Party Search Mode:</b> Name <b>Last Name:</b> doe <b>First Name:</b> john <b>All</b> All <b>Sort By:</b> Filed Date </td></tr></table><table border="0" cellpadding="2" cellspacing="0" width="100%" style="font-size: 8pt; font-family: arial"><col width="15%" /><col width="15%" /><col width="15%" /><col width="15%" /><col width="15%" /><col width="25%" /><tr><th class="ssSearchResultHeader" nowrap="true"><b>Case Number</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Citation Number</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Defendant Info</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Filed/Location</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Type</b><b>/Status</b></th><th class="ssSearchResultHeader" nowrap="true"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td><b>Charge(s)</b></td></tr></table></th></tr><tr height="3"><td colspan="6"></td></tr><tr><td nowrap="true" valign="top"><a href="CaseDetail.aspx?CaseID=X0001" style="color: blue">X0001</a></td><td nowrap="true" valign="top"><div style="overflow:hidden">C0001</div><div style="overflow:hidden">C0001</div><div style="overflow:hidden">C0001</div></td><td nowrap="true" valign="top"><div>Doe, John D</div><div>1943</div></td><td valign="top" nowrap="true"><div>03/23/1963</div><div>Multnomah</div></td><td valign="top" nowrap="true"><div>Offense Misdemeanor</div><div>Closed</div></td><td nowrap="true" valign="top"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="vertical-align:top;">Attempt to Commit a Class C/Unclassified Felony</td></tr><tr><td style="vertical-align:top;">Drug Free Zone Variance</td></tr><tr><td style="vertical-align:top;">Criminal Trespass in the Second Degree</td></tr></table></td></tr><tr bgcolor="#EEEEEE"><td nowrap="true" valign="top"><a href="CaseDetail.aspx?CaseID=X0002" style="color: blue">X0002</a></td><td nowrap="true" valign="top"><div style="overflow:hidden">C0002</div><div style="overflow:hidden">C0002</div></td><td nowrap="true" valign="top"><div>Doe, John D</div><div>1943</div></td><td valign="top" nowrap="true"><div>04/11/1963</div><div>Multnomah</div></td><td valign="top" nowrap="true"><div>Offense Felony</div><div>Closed</div></td><td nowrap="true" valign="top"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="vertical-align:top;">Poss Controlled Sub 2 (Reduced - to A Misdemeanor)</td></tr><tr><td style="vertical-align:top;">Drug Free Zone Variance</td></tr></table></td></tr><tr><td nowrap="true" valign="top"><a href="CaseDetail.aspx?CaseID=X0003" style="color: blue">X0003</a></td><td nowrap="true" valign="top"><div style="overflow:hidden"></div></td><td nowrap="true" valign="top"><div>Doe, John D</div><div>1943</div></td><td valign="top" nowrap="true"><div>04/01/2012</div><div>Multnomah</div></td><td valign="top" nowrap="true"><div>Offense Misdemeanor</div><div>Closed</div></td><td nowrap="true" valign="top"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="vertical-align:top;">Poss Controlled Sub 2 (Reduced - to A Misdemeanor)</td></tr></table></td></tr></table>
</body>
</html>
'''
RECORD_WITH_MISSING_BIRTH_YEAR = '''
<html>
<head>
<link rel="stylesheet" type="text/css" href="CSS/PublicAccess.css">
</head>
<body>
<?xml version="1.0" encoding="utf-8"?><table cellspacing="0" cellpadding="0" width="100%" border="0" style="table-layout: fixed; margin:0px; padding:0px;"><tr><td class="ssHeaderTitleBanner">Criminal, Traffic and Parking Case Records Search Results</td></tr></table><table cellspacing="0" cellpadding="0" width="100%" border="0" style="table-layout: fixed; margin:0px; padding:0px;"><tr><td bgcolor="#000000" height="20px"><table cellspacing="0" cellpadding="0" width="100%" border="0"><tr><td align="left" style="padding-left: 5px"><font size="1"><a class="ssBlackNavBarHyperlink" href="#MainContent">Skip to Main Content</a> <a class="ssBlackNavBarHyperlink" href="logout.aspx">Logout</a> <a class="ssBlackNavBarHyperlink" href="MyAccount.aspx?ReturnURL=default.aspx">My Account</a> <a class="ssBlackNavBarHyperlink" href="default.aspx">Search Menu</a> <a class="ssBlackNavBarHyperlink" href="Search.aspx?ID=100">Search Criminal, Traffic and Parking Case Records</a> <a class="ssBlackNavBarHyperlink" href="Search.aspx?ID=100&RefineSearch=1">Refine Search</a> </font></td><td align="center" class="ssBlackNavBarLocation"></td><td align="right" style="padding-right: 10px"><table cellspacing="0" cellpadding="0" border="0"><tr><td class="ssBlackNavBarLocation">
Location : All Locations</td><td><font size="1"><a class="ssBlackNavBarHyperlink" target="_blank" href="#">Help</a></font></td></tr></table></td></tr></table></td></tr></table><a id="MainContent" name="MainContent" tabindex="-1"></a><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="width:85px;"><b>Record Count: </b></td><td style="text-align:left;"><b>168</b></td></tr><tr><td id="SearchParamList" colspan="2"><b>Search By:</b> Defendant <b>Exact Name:</b> on <b>Party Search Mode:</b> Name <b>Last Name:</b> doe <b>First Name:</b> john <b>All</b> All <b>Sort By:</b> Filed Date </td></tr></table><table border="0" cellpadding="2" cellspacing="0" width="100%" style="font-size: 8pt; font-family: arial"><col width="15%" /><col width="15%" /><col width="15%" /><col width="15%" /><col width="15%" /><col width="25%" /><tr><th class="ssSearchResultHeader" nowrap="true"><b>Case Number</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Citation Number</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Defendant Info</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Filed/Location</b></th><th class="ssSearchResultHeader" nowrap="true"><b>Type</b><b>/Status</b></th><th class="ssSearchResultHeader" nowrap="true"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td><b>Charge(s)</b></td></tr></table></th></tr><tr height="3"><td colspan="6"></td></tr><tr><td nowrap="true" valign="top"><a href="CaseDetail.aspx?CaseID=X0001" style="color: blue">X0001</a></td><td nowrap="true" valign="top"><div style="overflow:hidden">C0001</div><div style="overflow:hidden">C0001</div><div style="overflow:hidden">C0001</div></td><td nowrap="true" valign="top"><div>Doe, John D</div><div>1943</div></td><td valign="top" nowrap="true"><div>03/23/1963</div><div>Multnomah</div></td><td valign="top" nowrap="true"><div>Offense Misdemeanor</div><div>Closed</div></td><td nowrap="true" valign="top"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="vertical-align:top;">Attempt to Commit a Class C/Unclassified Felony</td></tr><tr><td style="vertical-align:top;">Drug Free Zone Variance</td></tr><tr><td style="vertical-align:top;">Criminal Trespass in the Second Degree</td></tr></table></td></tr><tr bgcolor="#EEEEEE"><td nowrap="true" valign="top"><a href="CaseDetail.aspx?CaseID=X0002" style="color: blue">X0002</a></td><td nowrap="true" valign="top"><div style="overflow:hidden">C0002</div><div style="overflow:hidden">C0002</div></td><td nowrap="true" valign="top"><div>Doe, John D</div><div>1943</div></td><td valign="top" nowrap="true"><div>04/11/1963</div><div>Multnomah</div></td><td valign="top" nowrap="true"><div>Offense Felony</div><div>Closed</div></td><td nowrap="true" valign="top"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="vertical-align:top;">Poss Controlled Sub 2 (Reduced - to A Misdemeanor)</td></tr><tr><td style="vertical-align:top;">Drug Free Zone Variance</td></tr></table></td></tr><tr><td nowrap="true" valign="top"><a href="CaseDetail.aspx?CaseID=X0003" style="color: blue">X0003</a></td><td nowrap="true" valign="top"><div style="overflow:hidden"></div></td><td nowrap="true" valign="top"><div>Doe, John D</div><div></div></td><td valign="top" nowrap="true"><div>04/01/2012</div><div>Multnomah</div></td><td valign="top" nowrap="true"><div>Offense Misdemeanor</div><div>Open</div></td><td nowrap="true" valign="top"><table border="0" cellpadding="0" cellspacing="0" width="100%" style="table-layout: fixed; font-size: 8pt; font-family: arial"><tr><td style="vertical-align:top;">Poss Controlled Sub 2 (Reduced - to A Misdemeanor)</td></tr></table></td></tr></table>
</body>
</html>
'''
| 399.583333 | 4,116 | 0.69147 | 3,699 | 23,975 | 4.477156 | 0.057313 | 0.054345 | 0.024455 | 0.043476 | 0.982731 | 0.981704 | 0.981704 | 0.981704 | 0.979953 | 0.979953 | 0 | 0.033914 | 0.064067 | 23,975 | 59 | 4,117 | 406.355932 | 0.704131 | 0 | 0 | 0.763636 | 0 | 0.181818 | 0.992534 | 0.522127 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.054545 | 0 | 0 | 0.109091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 12 |
fe0a967bb57b6842de086d5d9d71ae20c3dfae22 | 9,481 | py | Python | data/Panoptic/datamodule.py | GuillaumeRochette/HumanViewSynthesis | d65ea8744e284ec956bbc04f294f05e47731360f | [
"Apache-2.0"
] | 10 | 2021-11-30T05:56:10.000Z | 2022-03-16T07:06:16.000Z | data/Panoptic/datamodule.py | GuillaumeRochette/HumanViewSynthesis | d65ea8744e284ec956bbc04f294f05e47731360f | [
"Apache-2.0"
] | 1 | 2022-01-10T09:27:22.000Z | 2022-01-10T09:27:22.000Z | data/Panoptic/datamodule.py | GuillaumeRochette/HumanViewSynthesis | d65ea8744e284ec956bbc04f294f05e47731360f | [
"Apache-2.0"
] | null | null | null | from typing import Iterable, Union, Tuple
from pathlib import Path
from tqdm import tqdm
from torch.utils.data import ConcatDataset
from data.datamodule import DataModule
from data.utils import filter
from data.Panoptic.dataset import (
PanopticPoseDataset,
PanopticImageDataset,
PanopticImagePairDataset,
)
from data.Panoptic.transform import (
PanopticImageTransform,
PanopticImagePairTransform,
)
from data.Panoptic.metadata import (
VIEWS,
KNOWN_SEQUENCES,
TRAIN_KNOWN_INTERVALS,
VAL_KNOWN_INTERVALS,
TEST_KNOWN_INTERVALS,
UNKNOWN_SEQUENCES,
TRAIN_UNKNOWN_INTERVALS,
VAL_UNKNOWN_INTERVALS,
TEST_UNKNOWN_INTERVALS,
)
class PanopticPoseDataModule(DataModule):
def __init__(
self,
root: Union[str, Path],
known_sequences: Iterable[str] = KNOWN_SEQUENCES,
train_intervals: Iterable = TRAIN_KNOWN_INTERVALS,
unknown_sequences: Iterable[str] = UNKNOWN_SEQUENCES,
views: Iterable[str] = VIEWS,
batch_size: int = 1,
num_workers: int = 0,
):
super(PanopticPoseDataModule, self).__init__(
root=root,
batch_size=batch_size,
num_workers=num_workers,
)
self.known_sequences = known_sequences
self.train_intervals = train_intervals
self.unknown_sequences = unknown_sequences
self.views = views
def _train_dataset(self):
datasets = []
for sequence, intervals in zip(
tqdm(self.known_sequences), self.train_intervals
):
dir = self.root / sequence / "Databases" / "Images"
views = [p.stem for p in sorted(dir.glob("*.lmdb"))]
views = [view for view in views if view in self.views]
for view in tqdm(views, leave=False):
dataset = PanopticPoseDataset(
path=self.root / sequence,
view=view,
)
dataset.keys = filter(dataset.keys, intervals)
datasets.append(dataset)
dataset = ConcatDataset(datasets)
return dataset
def _val_dataset(self):
datasets = []
for sequence in tqdm(self.unknown_sequences):
dir = self.root / sequence / "Databases" / "Images"
views = [p.stem for p in sorted(dir.glob("*.lmdb"))]
views = [view for view in views if view in self.views]
for view in tqdm(views, leave=False):
dataset = PanopticPoseDataset(
path=self.root / sequence,
view=view,
)
datasets.append(dataset)
dataset = ConcatDataset(datasets)
return dataset
def _test_dataset(self):
datasets = []
for sequence in tqdm(self.unknown_sequences):
dir = self.root / sequence / "Databases" / "Images"
views = [p.stem for p in sorted(dir.glob("*.lmdb"))]
views = [view for view in views if view in self.views]
for view in tqdm(views, leave=False):
dataset = PanopticPoseDataset(
path=self.root / sequence,
view=view,
)
datasets.append(dataset)
dataset = ConcatDataset(datasets)
return dataset
class PanopticImageDataModule(DataModule):
def __init__(
self,
root: Union[str, Path],
sequences: Iterable[str] = KNOWN_SEQUENCES,
train_intervals: Iterable = TRAIN_KNOWN_INTERVALS,
val_intervals: Iterable = VAL_KNOWN_INTERVALS,
test_intervals: Iterable = TEST_KNOWN_INTERVALS,
views: Iterable[str] = VIEWS,
cr_size: Union[int, Tuple[int, int]] = None,
re_size: Union[int, Tuple[int, int]] = None,
batch_size: int = 1,
num_workers: int = 0,
):
super(PanopticImageDataModule, self).__init__(
root=root,
batch_size=batch_size,
num_workers=num_workers,
)
self.sequences = sequences
self.train_intervals = train_intervals
self.val_intervals = val_intervals
self.test_intervals = test_intervals
self.views = views
self.transform = PanopticImageTransform(
cr_size=cr_size,
re_size=re_size,
)
def _train_dataset(self):
datasets = []
for sequence, intervals in zip(tqdm(self.sequences), self.train_intervals):
dir = self.root / sequence / "Databases" / "Images"
views = [p.stem for p in sorted(dir.glob("*.lmdb"))]
views = [view for view in views if view in self.views]
for view in tqdm(views, leave=False):
dataset = PanopticImageDataset(
path=self.root / sequence,
view=view,
transform=self.transform,
)
dataset.keys = filter(dataset.keys, intervals)
datasets.append(dataset)
dataset = ConcatDataset(datasets)
return dataset
def _val_dataset(self):
datasets = []
for sequence, intervals in zip(tqdm(self.sequences), self.val_intervals):
dir = self.root / sequence / "Databases" / "Images"
views = [p.stem for p in sorted(dir.glob("*.lmdb"))]
views = [view for view in views if view in self.views]
for view in tqdm(views, leave=False):
dataset = PanopticImageDataset(
path=self.root / sequence,
view=view,
transform=self.transform,
)
dataset.keys = filter(dataset.keys, intervals, mod=30)
datasets.append(dataset)
dataset = ConcatDataset(datasets)
return dataset
def _test_dataset(self):
datasets = []
for sequence, intervals in zip(tqdm(self.sequences), self.test_intervals):
dir = self.root / sequence / "Databases" / "Images"
views = [p.stem for p in sorted(dir.glob("*.lmdb"))]
views = [view for view in views if view in self.views]
for view in tqdm(views, leave=False):
dataset = PanopticImageDataset(
path=self.root / sequence,
view=view,
transform=self.transform,
)
dataset.keys = filter(dataset.keys, intervals, mod=30)
datasets.append(dataset)
dataset = ConcatDataset(datasets)
return dataset
class PanopticImagePairDataModule(DataModule):
def __init__(
self,
root: Union[str, Path],
sequences: Iterable[str] = KNOWN_SEQUENCES,
train_intervals: Iterable = TRAIN_KNOWN_INTERVALS,
val_intervals: Iterable = VAL_KNOWN_INTERVALS,
test_intervals: Iterable = TEST_KNOWN_INTERVALS,
in_views: Iterable[str] = VIEWS,
out_views: Iterable[str] = VIEWS,
cr_size_A: Union[int, Tuple[int, int]] = None,
cr_size_B: Union[int, Tuple[int, int]] = None,
re_size_A: Union[int, Tuple[int, int]] = None,
re_size_B: Union[int, Tuple[int, int]] = None,
batch_size: int = 1,
num_workers: int = 0,
):
super(PanopticImagePairDataModule, self).__init__(
root=root,
batch_size=batch_size,
num_workers=num_workers,
)
self.sequences = sequences
self.train_intervals = train_intervals
self.val_intervals = val_intervals
self.test_intervals = test_intervals
self.in_views = in_views
self.out_views = out_views
self.transform = PanopticImagePairTransform(
cr_size_A=cr_size_A,
cr_size_B=cr_size_B,
re_size_A=re_size_A,
re_size_B=re_size_B,
)
def _train_dataset(self):
datasets = []
for sequence, intervals in zip(tqdm(self.sequences), self.train_intervals):
dataset = PanopticImagePairDataset(
path=self.root / sequence,
in_views=self.in_views,
out_views=self.out_views,
transform=self.transform,
)
dataset.keys = filter(dataset.keys, intervals)
datasets.append(dataset)
datasets = ConcatDataset(datasets)
return datasets
def _val_dataset(self):
datasets = []
for sequence, intervals in zip(tqdm(self.sequences), self.val_intervals):
dataset = PanopticImagePairDataset(
path=self.root / sequence,
in_views=self.in_views,
out_views=self.out_views,
transform=self.transform,
)
dataset.keys = filter(dataset.keys, intervals, mod=30)
datasets.append(dataset)
datasets = ConcatDataset(datasets)
return datasets
def _test_dataset(self):
datasets = []
for sequence, intervals in zip(tqdm(self.sequences), self.test_intervals):
dataset = PanopticImagePairDataset(
path=self.root / sequence,
in_views=self.in_views,
out_views=self.out_views,
transform=self.transform,
)
dataset.keys = filter(dataset.keys, intervals, mod=30)
datasets.append(dataset)
datasets = ConcatDataset(datasets)
return datasets
| 35.912879 | 83 | 0.587069 | 985 | 9,481 | 5.471066 | 0.078173 | 0.026721 | 0.044535 | 0.036742 | 0.817591 | 0.808313 | 0.799777 | 0.790685 | 0.76118 | 0.745407 | 0 | 0.002195 | 0.327181 | 9,481 | 263 | 84 | 36.04943 | 0.842609 | 0 | 0 | 0.708333 | 0 | 0 | 0.01329 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.0375 | 0 | 0.1375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
fe1211eaf99fc350f100b8d56047a2a0264241d2 | 1,632 | py | Python | lab4/chapter6.py | MariAbraha/csc121 | 75db8806d2a62d63b6e7a9d2905a04470021de85 | [
"CC0-1.0"
] | null | null | null | lab4/chapter6.py | MariAbraha/csc121 | 75db8806d2a62d63b6e7a9d2905a04470021de85 | [
"CC0-1.0"
] | null | null | null | lab4/chapter6.py | MariAbraha/csc121 | 75db8806d2a62d63b6e7a9d2905a04470021de85 | [
"CC0-1.0"
] | null | null | null | #drawing with functions
import arcade
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 600
arcade.open_window(SCREEN_WIDTH, SCREEN_HEIGHT, "Drawing with Functions")
arcade.set_background_color(arcade.color.DARK_BLUE)
arcade.start_render()
arcade.draw_lrtb_rectangle_filled(0, SCREEN_WIDTH, SCREEN_HEIGHT / 3, 0, arcade.color.AIR_SUPERIORITY_BLUE)
# Draw a snow person
# Snow
arcade.draw_circle_filled(300, 200, 60, arcade.color.WHITE)
arcade.draw_circle_filled(300, 280, 50, arcade.color.WHITE)
arcade.draw_circle_filled(300, 340, 40, arcade.color.WHITE)
# Eyes
arcade.draw_circle_filled(285, 350, 5, arcade.color.BLACK)
arcade.draw_circle_filled(315, 350, 5, arcade.color.BLACK)
# Finish and run
arcade.finish_render()
arcade.run()
main()
#create a main()
import arcade
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 600
def main():
arcade.open_window(SCREEN_WIDTH, SCREEN_HEIGHT, "Drawing with Functions")
arcade.set_background_color(arcade.color.DARK_BLUE)
arcade.start_render()
# Draw the ground
arcade.draw_lrtb_rectangle_filled(0, SCREEN_WIDTH, SCREEN_HEIGHT / 3, 0, arcade.color.AIR_SUPERIORITY_BLUE)
# Draw a snow person
# Snow
arcade.draw_circle_filled(300, 200, 60, arcade.color.WHITE)
arcade.draw_circle_filled(300, 280, 50, arcade.color.WHITE)
arcade.draw_circle_filled(300, 340, 40, arcade.color.WHITE)
# Eyes
arcade.draw_circle_filled(285, 350, 5, arcade.color.BLACK)
arcade.draw_circle_filled(315, 350, 5, arcade.color.BLACK)
# Finish and run
arcade.finish_render()
arcade.run()
# Call the main function to get the program started.
main() | 24.727273 | 111 | 0.748775 | 242 | 1,632 | 4.826446 | 0.243802 | 0.131849 | 0.136986 | 0.188356 | 0.914384 | 0.914384 | 0.914384 | 0.914384 | 0.844178 | 0.844178 | 0 | 0.067626 | 0.148284 | 1,632 | 66 | 112 | 24.727273 | 0.772662 | 0.118873 | 0 | 0.967742 | 0 | 0 | 0.030834 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.064516 | 0 | 0.096774 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
a3ee71550a61302de7105f75a682bfcd0fccdf17 | 4,438 | py | Python | dgi_repo/auth/authorization.py | discoverygarden/dgi_repo | 1bb30d51a4cefc2ae510f5aeac4b36ed7a78f6a6 | [
"Apache-2.0"
] | null | null | null | dgi_repo/auth/authorization.py | discoverygarden/dgi_repo | 1bb30d51a4cefc2ae510f5aeac4b36ed7a78f6a6 | [
"Apache-2.0"
] | null | null | null | dgi_repo/auth/authorization.py | discoverygarden/dgi_repo | 1bb30d51a4cefc2ae510f5aeac4b36ed7a78f6a6 | [
"Apache-2.0"
] | null | null | null | """
Helpers for determining authorization rules.
@TODO: verify that there are restrictions before returning False.
"""
import dgi_repo.fcrepo3.relations as relations
import dgi_repo.database.read.datastream_relations as datastream_relations
import dgi_repo.database.read.object_relations as object_relations
from dgi_repo.database.utilities import check_cursor
def is_datastream_viewable(ds_db_id, user_id=None, roles=None, cursor=None):
"""
Check if the datastream is viewable by the given user or roles.
"""
cursor = check_cursor(cursor)
if is_datastream_manageable(ds_db_id, user_id, roles, cursor):
return True
if user_id is not None:
datastream_relations.read_relationship(
relations.ISLANDORA_RELS_EXT_NAMESPACE,
relations.IS_VIEWABLE_BY_USER_PREDICATE,
ds_db_id,
user_id,
cursor=cursor
)
if cursor.fetchone():
return True
if roles:
datastream_relations.read_relationship(
relations.ISLANDORA_RELS_EXT_NAMESPACE,
relations.IS_VIEWABLE_BY_ROLE_PREDICATE,
ds_db_id,
cursor=cursor
)
db_role_info = cursor.fetchall()
db_roles = set()
for db_role in db_role_info:
db_roles.add(db_role['rdf_object'])
if db_roles.intersection(roles):
return True
return False
def is_datastream_manageable(ds_db_id, user_id=None, roles=None, cursor=None):
"""
Check if the datastream is manageable by the given user or roles.
"""
cursor = check_cursor(cursor)
if user_id is not None:
datastream_relations.read_relationship(
relations.ISLANDORA_RELS_EXT_NAMESPACE,
relations.IS_MANAGEABLE_BY_USER_PREDICATE,
ds_db_id,
user_id,
cursor=cursor
)
if cursor.fetchone():
return True
if roles:
datastream_relations.read_relationship(
relations.ISLANDORA_RELS_EXT_NAMESPACE,
relations.IS_MANAGEABLE_BY_ROLE_PREDICATE,
ds_db_id,
cursor=cursor
)
db_role_info = cursor.fetchall()
db_roles = set()
for db_role in db_role_info:
db_roles.add(db_role['rdf_object'])
if db_roles.intersection(roles):
return True
return False
def is_object_viewable(object_db_id, user_id=None, roles=None, cursor=None):
"""
Check if the object is viewable by the given user or roles.
"""
cursor = check_cursor(cursor)
if is_object_manageable(object_db_id, user_id, roles, cursor):
return True
if user_id is not None:
object_relations.read_relationship(
relations.ISLANDORA_RELS_EXT_NAMESPACE,
relations.IS_VIEWABLE_BY_USER_PREDICATE,
object_db_id,
user_id,
cursor=cursor
)
if cursor.fetchone():
return True
if roles:
object_relations.read_relationship(
relations.ISLANDORA_RELS_EXT_NAMESPACE,
relations.IS_VIEWABLE_BY_USER_PREDICATE,
object_db_id,
cursor=cursor
)
db_role_info = cursor.fetchall()
db_roles = set()
for db_role in db_role_info:
db_roles.add(db_role['rdf_object'])
if db_roles.intersection(roles):
return True
return False
def is_object_manageable(object_db_id, user_id=None, roles=None, cursor=None):
"""
Check if the object is manageable by the given user or roles.
"""
cursor = check_cursor(cursor)
if user_id is not None:
object_relations.read_relationship(
relations.ISLANDORA_RELS_EXT_NAMESPACE,
relations.IS_MANAGEABLE_BY_USER_PREDICATE,
object_db_id,
user_id,
cursor=cursor
)
if cursor.fetchone():
return True
if roles:
object_relations.read_relationship(
relations.ISLANDORA_RELS_EXT_NAMESPACE,
relations.IS_MANAGEABLE_BY_ROLE_PREDICATE,
object_db_id,
cursor=cursor
)
db_role_info = cursor.fetchall()
db_roles = set()
for db_role in db_role_info:
db_roles.add(db_role['rdf_object'])
if db_roles.intersection(roles):
return True
return False
| 28.448718 | 78 | 0.637449 | 539 | 4,438 | 4.916512 | 0.113173 | 0.036226 | 0.030189 | 0.037736 | 0.900755 | 0.900755 | 0.875094 | 0.875094 | 0.84717 | 0.84717 | 0 | 0.000321 | 0.298558 | 4,438 | 155 | 79 | 28.632258 | 0.850948 | 0.081794 | 0 | 0.830357 | 0 | 0 | 0.009983 | 0 | 0 | 0 | 0 | 0.006452 | 0 | 1 | 0.035714 | false | 0 | 0.035714 | 0 | 0.196429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
433743acdc272bcd309dd50f4085f74d9ce09dbe | 74,974 | py | Python | milvus/thrift/MilvusService.py | jielinxu/pymilvus | f1f27de406f046a4599f0c84fae2d225445a7f00 | [
"Apache-2.0"
] | null | null | null | milvus/thrift/MilvusService.py | jielinxu/pymilvus | f1f27de406f046a4599f0c84fae2d225445a7f00 | [
"Apache-2.0"
] | null | null | null | milvus/thrift/MilvusService.py | jielinxu/pymilvus | f1f27de406f046a4599f0c84fae2d225445a7f00 | [
"Apache-2.0"
] | null | null | null | #
# Autogenerated by Thrift Compiler (0.12.0)
#
# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
#
# options string: py
#
from thrift.Thrift import TType, TMessageType, TFrozenDict, TException, TApplicationException
from thrift.protocol.TProtocol import TProtocolException
from thrift.TRecursive import fix_spec
import sys
import logging
from .ttypes import *
from thrift.Thrift import TProcessor
from thrift.transport import TTransport
all_structs = []
class Iface(object):
def CreateTable(self, param):
"""
@brief Create table method
This method is used to create table
@param param, use to provide table information to be created.
Parameters:
- param
"""
pass
def DeleteTable(self, table_name):
"""
@brief Delete table method
This method is used to delete table.
@param table_name, table name is going to be deleted.
Parameters:
- table_name
"""
pass
def AddVector(self, table_name, record_array):
"""
@brief Add vector array to table
This method is used to add vector array to table.
@param table_name, table_name is inserted.
@param record_array, vector array is inserted.
@return vector id array
Parameters:
- table_name
- record_array
"""
pass
def SearchVector(self, table_name, query_record_array, query_range_array, topk):
"""
@brief Query vector
This method is used to query vector in table.
@param table_name, table_name is queried.
@param query_record_array, all vector are going to be queried.
@param query_range_array, optional ranges for conditional search. If not specified, search whole table
@param topk, how many similarity vectors will be searched.
@return query result array.
Parameters:
- table_name
- query_record_array
- query_range_array
- topk
"""
pass
def SearchVectorInFiles(self, table_name, file_id_array, query_record_array, query_range_array, topk):
"""
@brief Internal use query interface
This method is used to query vector in specified files.
@param file_id_array, specified files id array, queried.
@param query_record_array, all vector are going to be queried.
@param query_range_array, optional ranges for conditional search. If not specified, search whole table
@param topk, how many similarity vectors will be searched.
@return query result array.
Parameters:
- table_name
- file_id_array
- query_record_array
- query_range_array
- topk
"""
pass
def DescribeTable(self, table_name):
"""
@brief Get table schema
This method is used to get table schema.
@param table_name, target table name.
@return table schema
Parameters:
- table_name
"""
pass
def GetTableRowCount(self, table_name):
"""
@brief Get table row count
This method is used to get table row count.
@param table_name, target table name.
@return table row count
Parameters:
- table_name
"""
pass
def ShowTables(self):
"""
@brief List all tables in database
This method is used to list all tables.
@return table names.
"""
pass
def Ping(self, cmd):
"""
@brief Give the server status
This method is used to give the server status.
@return Server status.
Parameters:
- cmd
"""
pass
class Client(Iface):
def __init__(self, iprot, oprot=None):
self._iprot = self._oprot = iprot
if oprot is not None:
self._oprot = oprot
self._seqid = 0
def CreateTable(self, param):
"""
@brief Create table method
This method is used to create table
@param param, use to provide table information to be created.
Parameters:
- param
"""
self.send_CreateTable(param)
self.recv_CreateTable()
def send_CreateTable(self, param):
self._oprot.writeMessageBegin('CreateTable', TMessageType.CALL, self._seqid)
args = CreateTable_args()
args.param = param
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_CreateTable(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = CreateTable_result()
result.read(iprot)
iprot.readMessageEnd()
if result.e is not None:
raise result.e
return
def DeleteTable(self, table_name):
"""
@brief Delete table method
This method is used to delete table.
@param table_name, table name is going to be deleted.
Parameters:
- table_name
"""
self.send_DeleteTable(table_name)
self.recv_DeleteTable()
def send_DeleteTable(self, table_name):
self._oprot.writeMessageBegin('DeleteTable', TMessageType.CALL, self._seqid)
args = DeleteTable_args()
args.table_name = table_name
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_DeleteTable(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = DeleteTable_result()
result.read(iprot)
iprot.readMessageEnd()
if result.e is not None:
raise result.e
return
def AddVector(self, table_name, record_array):
"""
@brief Add vector array to table
This method is used to add vector array to table.
@param table_name, table_name is inserted.
@param record_array, vector array is inserted.
@return vector id array
Parameters:
- table_name
- record_array
"""
self.send_AddVector(table_name, record_array)
return self.recv_AddVector()
def send_AddVector(self, table_name, record_array):
self._oprot.writeMessageBegin('AddVector', TMessageType.CALL, self._seqid)
args = AddVector_args()
args.table_name = table_name
args.record_array = record_array
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_AddVector(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = AddVector_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
if result.e is not None:
raise result.e
raise TApplicationException(TApplicationException.MISSING_RESULT, "AddVector failed: unknown result")
def SearchVector(self, table_name, query_record_array, query_range_array, topk):
"""
@brief Query vector
This method is used to query vector in table.
@param table_name, table_name is queried.
@param query_record_array, all vector are going to be queried.
@param query_range_array, optional ranges for conditional search. If not specified, search whole table
@param topk, how many similarity vectors will be searched.
@return query result array.
Parameters:
- table_name
- query_record_array
- query_range_array
- topk
"""
self.send_SearchVector(table_name, query_record_array, query_range_array, topk)
return self.recv_SearchVector()
def send_SearchVector(self, table_name, query_record_array, query_range_array, topk):
self._oprot.writeMessageBegin('SearchVector', TMessageType.CALL, self._seqid)
args = SearchVector_args()
args.table_name = table_name
args.query_record_array = query_record_array
args.query_range_array = query_range_array
args.topk = topk
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_SearchVector(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = SearchVector_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
if result.e is not None:
raise result.e
raise TApplicationException(TApplicationException.MISSING_RESULT, "SearchVector failed: unknown result")
def SearchVectorInFiles(self, table_name, file_id_array, query_record_array, query_range_array, topk):
"""
@brief Internal use query interface
This method is used to query vector in specified files.
@param file_id_array, specified files id array, queried.
@param query_record_array, all vector are going to be queried.
@param query_range_array, optional ranges for conditional search. If not specified, search whole table
@param topk, how many similarity vectors will be searched.
@return query result array.
Parameters:
- table_name
- file_id_array
- query_record_array
- query_range_array
- topk
"""
self.send_SearchVectorInFiles(table_name, file_id_array, query_record_array, query_range_array, topk)
return self.recv_SearchVectorInFiles()
def send_SearchVectorInFiles(self, table_name, file_id_array, query_record_array, query_range_array, topk):
self._oprot.writeMessageBegin('SearchVectorInFiles', TMessageType.CALL, self._seqid)
args = SearchVectorInFiles_args()
args.table_name = table_name
args.file_id_array = file_id_array
args.query_record_array = query_record_array
args.query_range_array = query_range_array
args.topk = topk
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_SearchVectorInFiles(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = SearchVectorInFiles_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
if result.e is not None:
raise result.e
raise TApplicationException(TApplicationException.MISSING_RESULT, "SearchVectorInFiles failed: unknown result")
def DescribeTable(self, table_name):
"""
@brief Get table schema
This method is used to get table schema.
@param table_name, target table name.
@return table schema
Parameters:
- table_name
"""
self.send_DescribeTable(table_name)
return self.recv_DescribeTable()
def send_DescribeTable(self, table_name):
self._oprot.writeMessageBegin('DescribeTable', TMessageType.CALL, self._seqid)
args = DescribeTable_args()
args.table_name = table_name
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_DescribeTable(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = DescribeTable_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
if result.e is not None:
raise result.e
raise TApplicationException(TApplicationException.MISSING_RESULT, "DescribeTable failed: unknown result")
def GetTableRowCount(self, table_name):
"""
@brief Get table row count
This method is used to get table row count.
@param table_name, target table name.
@return table row count
Parameters:
- table_name
"""
self.send_GetTableRowCount(table_name)
return self.recv_GetTableRowCount()
def send_GetTableRowCount(self, table_name):
self._oprot.writeMessageBegin('GetTableRowCount', TMessageType.CALL, self._seqid)
args = GetTableRowCount_args()
args.table_name = table_name
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_GetTableRowCount(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = GetTableRowCount_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
if result.e is not None:
raise result.e
raise TApplicationException(TApplicationException.MISSING_RESULT, "GetTableRowCount failed: unknown result")
def ShowTables(self):
"""
@brief List all tables in database
This method is used to list all tables.
@return table names.
"""
self.send_ShowTables()
return self.recv_ShowTables()
def send_ShowTables(self):
self._oprot.writeMessageBegin('ShowTables', TMessageType.CALL, self._seqid)
args = ShowTables_args()
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_ShowTables(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = ShowTables_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
if result.e is not None:
raise result.e
raise TApplicationException(TApplicationException.MISSING_RESULT, "ShowTables failed: unknown result")
def Ping(self, cmd):
"""
@brief Give the server status
This method is used to give the server status.
@return Server status.
Parameters:
- cmd
"""
self.send_Ping(cmd)
return self.recv_Ping()
def send_Ping(self, cmd):
self._oprot.writeMessageBegin('Ping', TMessageType.CALL, self._seqid)
args = Ping_args()
args.cmd = cmd
args.write(self._oprot)
self._oprot.writeMessageEnd()
self._oprot.trans.flush()
def recv_Ping(self):
iprot = self._iprot
(fname, mtype, rseqid) = iprot.readMessageBegin()
if mtype == TMessageType.EXCEPTION:
x = TApplicationException()
x.read(iprot)
iprot.readMessageEnd()
raise x
result = Ping_result()
result.read(iprot)
iprot.readMessageEnd()
if result.success is not None:
return result.success
if result.e is not None:
raise result.e
raise TApplicationException(TApplicationException.MISSING_RESULT, "Ping failed: unknown result")
class Processor(Iface, TProcessor):
def __init__(self, handler):
self._handler = handler
self._processMap = {}
self._processMap["CreateTable"] = Processor.process_CreateTable
self._processMap["DeleteTable"] = Processor.process_DeleteTable
self._processMap["AddVector"] = Processor.process_AddVector
self._processMap["SearchVector"] = Processor.process_SearchVector
self._processMap["SearchVectorInFiles"] = Processor.process_SearchVectorInFiles
self._processMap["DescribeTable"] = Processor.process_DescribeTable
self._processMap["GetTableRowCount"] = Processor.process_GetTableRowCount
self._processMap["ShowTables"] = Processor.process_ShowTables
self._processMap["Ping"] = Processor.process_Ping
def process(self, iprot, oprot):
(name, type, seqid) = iprot.readMessageBegin()
if name not in self._processMap:
iprot.skip(TType.STRUCT)
iprot.readMessageEnd()
x = TApplicationException(TApplicationException.UNKNOWN_METHOD, 'Unknown function %s' % (name))
oprot.writeMessageBegin(name, TMessageType.EXCEPTION, seqid)
x.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
return
else:
self._processMap[name](self, seqid, iprot, oprot)
return True
def process_CreateTable(self, seqid, iprot, oprot):
args = CreateTable_args()
args.read(iprot)
iprot.readMessageEnd()
result = CreateTable_result()
try:
self._handler.CreateTable(args.param)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except Exception as e:
msg_type = TMessageType.REPLY
result.e = e
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("CreateTable", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_DeleteTable(self, seqid, iprot, oprot):
args = DeleteTable_args()
args.read(iprot)
iprot.readMessageEnd()
result = DeleteTable_result()
try:
self._handler.DeleteTable(args.table_name)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except Exception as e:
msg_type = TMessageType.REPLY
result.e = e
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("DeleteTable", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_AddVector(self, seqid, iprot, oprot):
args = AddVector_args()
args.read(iprot)
iprot.readMessageEnd()
result = AddVector_result()
try:
result.success = self._handler.AddVector(args.table_name, args.record_array)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except Exception as e:
msg_type = TMessageType.REPLY
result.e = e
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("AddVector", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_SearchVector(self, seqid, iprot, oprot):
args = SearchVector_args()
args.read(iprot)
iprot.readMessageEnd()
result = SearchVector_result()
try:
result.success = self._handler.SearchVector(args.table_name, args.query_record_array, args.query_range_array, args.topk)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except Exception as e:
msg_type = TMessageType.REPLY
result.e = e
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("SearchVector", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_SearchVectorInFiles(self, seqid, iprot, oprot):
args = SearchVectorInFiles_args()
args.read(iprot)
iprot.readMessageEnd()
result = SearchVectorInFiles_result()
try:
result.success = self._handler.SearchVectorInFiles(args.table_name, args.file_id_array, args.query_record_array, args.query_range_array, args.topk)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except Exception as e:
msg_type = TMessageType.REPLY
result.e = e
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("SearchVectorInFiles", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_DescribeTable(self, seqid, iprot, oprot):
args = DescribeTable_args()
args.read(iprot)
iprot.readMessageEnd()
result = DescribeTable_result()
try:
result.success = self._handler.DescribeTable(args.table_name)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except Exception as e:
msg_type = TMessageType.REPLY
result.e = e
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("DescribeTable", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_GetTableRowCount(self, seqid, iprot, oprot):
args = GetTableRowCount_args()
args.read(iprot)
iprot.readMessageEnd()
result = GetTableRowCount_result()
try:
result.success = self._handler.GetTableRowCount(args.table_name)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except Exception as e:
msg_type = TMessageType.REPLY
result.e = e
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("GetTableRowCount", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_ShowTables(self, seqid, iprot, oprot):
args = ShowTables_args()
args.read(iprot)
iprot.readMessageEnd()
result = ShowTables_result()
try:
result.success = self._handler.ShowTables()
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except Exception as e:
msg_type = TMessageType.REPLY
result.e = e
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("ShowTables", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
def process_Ping(self, seqid, iprot, oprot):
args = Ping_args()
args.read(iprot)
iprot.readMessageEnd()
result = Ping_result()
try:
result.success = self._handler.Ping(args.cmd)
msg_type = TMessageType.REPLY
except TTransport.TTransportException:
raise
except Exception as e:
msg_type = TMessageType.REPLY
result.e = e
except TApplicationException as ex:
logging.exception('TApplication exception in handler')
msg_type = TMessageType.EXCEPTION
result = ex
except Exception:
logging.exception('Unexpected exception in handler')
msg_type = TMessageType.EXCEPTION
result = TApplicationException(TApplicationException.INTERNAL_ERROR, 'Internal error')
oprot.writeMessageBegin("Ping", msg_type, seqid)
result.write(oprot)
oprot.writeMessageEnd()
oprot.trans.flush()
# HELPER FUNCTIONS AND STRUCTURES
class CreateTable_args(object):
"""
Attributes:
- param
"""
def __init__(self, param=None,):
self.param = param
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 2:
if ftype == TType.STRUCT:
self.param = TableSchema()
self.param.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('CreateTable_args')
if self.param is not None:
oprot.writeFieldBegin('param', TType.STRUCT, 2)
self.param.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(CreateTable_args)
CreateTable_args.thrift_spec = (
None, # 0
None, # 1
(2, TType.STRUCT, 'param', [TableSchema, None], None, ), # 2
)
class CreateTable_result(object):
"""
Attributes:
- e
"""
def __init__(self, e=None,):
self.e = e
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRUCT:
self.e = Exception()
self.e.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('CreateTable_result')
if self.e is not None:
oprot.writeFieldBegin('e', TType.STRUCT, 1)
self.e.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(CreateTable_result)
CreateTable_result.thrift_spec = (
None, # 0
(1, TType.STRUCT, 'e', [Exception, None], None, ), # 1
)
class DeleteTable_args(object):
"""
Attributes:
- table_name
"""
def __init__(self, table_name=None,):
self.table_name = table_name
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 2:
if ftype == TType.STRING:
self.table_name = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('DeleteTable_args')
if self.table_name is not None:
oprot.writeFieldBegin('table_name', TType.STRING, 2)
oprot.writeString(self.table_name.encode('utf-8') if sys.version_info[0] == 2 else self.table_name)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(DeleteTable_args)
DeleteTable_args.thrift_spec = (
None, # 0
None, # 1
(2, TType.STRING, 'table_name', 'UTF8', None, ), # 2
)
class DeleteTable_result(object):
"""
Attributes:
- e
"""
def __init__(self, e=None,):
self.e = e
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 1:
if ftype == TType.STRUCT:
self.e = Exception()
self.e.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('DeleteTable_result')
if self.e is not None:
oprot.writeFieldBegin('e', TType.STRUCT, 1)
self.e.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(DeleteTable_result)
DeleteTable_result.thrift_spec = (
None, # 0
(1, TType.STRUCT, 'e', [Exception, None], None, ), # 1
)
class AddVector_args(object):
"""
Attributes:
- table_name
- record_array
"""
def __init__(self, table_name=None, record_array=None,):
self.table_name = table_name
self.record_array = record_array
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 2:
if ftype == TType.STRING:
self.table_name = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
elif fid == 3:
if ftype == TType.LIST:
self.record_array = []
(_etype10, _size7) = iprot.readListBegin()
for _i11 in range(_size7):
_elem12 = RowRecord()
_elem12.read(iprot)
self.record_array.append(_elem12)
iprot.readListEnd()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('AddVector_args')
if self.table_name is not None:
oprot.writeFieldBegin('table_name', TType.STRING, 2)
oprot.writeString(self.table_name.encode('utf-8') if sys.version_info[0] == 2 else self.table_name)
oprot.writeFieldEnd()
if self.record_array is not None:
oprot.writeFieldBegin('record_array', TType.LIST, 3)
oprot.writeListBegin(TType.STRUCT, len(self.record_array))
for iter13 in self.record_array:
iter13.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(AddVector_args)
AddVector_args.thrift_spec = (
None, # 0
None, # 1
(2, TType.STRING, 'table_name', 'UTF8', None, ), # 2
(3, TType.LIST, 'record_array', (TType.STRUCT, [RowRecord, None], False), None, ), # 3
)
class AddVector_result(object):
"""
Attributes:
- success
- e
"""
def __init__(self, success=None, e=None,):
self.success = success
self.e = e
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.LIST:
self.success = []
(_etype17, _size14) = iprot.readListBegin()
for _i18 in range(_size14):
_elem19 = iprot.readI64()
self.success.append(_elem19)
iprot.readListEnd()
else:
iprot.skip(ftype)
elif fid == 1:
if ftype == TType.STRUCT:
self.e = Exception()
self.e.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('AddVector_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.LIST, 0)
oprot.writeListBegin(TType.I64, len(self.success))
for iter20 in self.success:
oprot.writeI64(iter20)
oprot.writeListEnd()
oprot.writeFieldEnd()
if self.e is not None:
oprot.writeFieldBegin('e', TType.STRUCT, 1)
self.e.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(AddVector_result)
AddVector_result.thrift_spec = (
(0, TType.LIST, 'success', (TType.I64, None, False), None, ), # 0
(1, TType.STRUCT, 'e', [Exception, None], None, ), # 1
)
class SearchVector_args(object):
"""
Attributes:
- table_name
- query_record_array
- query_range_array
- topk
"""
def __init__(self, table_name=None, query_record_array=None, query_range_array=None, topk=None,):
self.table_name = table_name
self.query_record_array = query_record_array
self.query_range_array = query_range_array
self.topk = topk
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 2:
if ftype == TType.STRING:
self.table_name = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
elif fid == 3:
if ftype == TType.LIST:
self.query_record_array = []
(_etype24, _size21) = iprot.readListBegin()
for _i25 in range(_size21):
_elem26 = RowRecord()
_elem26.read(iprot)
self.query_record_array.append(_elem26)
iprot.readListEnd()
else:
iprot.skip(ftype)
elif fid == 4:
if ftype == TType.LIST:
self.query_range_array = []
(_etype30, _size27) = iprot.readListBegin()
for _i31 in range(_size27):
_elem32 = Range()
_elem32.read(iprot)
self.query_range_array.append(_elem32)
iprot.readListEnd()
else:
iprot.skip(ftype)
elif fid == 5:
if ftype == TType.I64:
self.topk = iprot.readI64()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('SearchVector_args')
if self.table_name is not None:
oprot.writeFieldBegin('table_name', TType.STRING, 2)
oprot.writeString(self.table_name.encode('utf-8') if sys.version_info[0] == 2 else self.table_name)
oprot.writeFieldEnd()
if self.query_record_array is not None:
oprot.writeFieldBegin('query_record_array', TType.LIST, 3)
oprot.writeListBegin(TType.STRUCT, len(self.query_record_array))
for iter33 in self.query_record_array:
iter33.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
if self.query_range_array is not None:
oprot.writeFieldBegin('query_range_array', TType.LIST, 4)
oprot.writeListBegin(TType.STRUCT, len(self.query_range_array))
for iter34 in self.query_range_array:
iter34.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
if self.topk is not None:
oprot.writeFieldBegin('topk', TType.I64, 5)
oprot.writeI64(self.topk)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(SearchVector_args)
SearchVector_args.thrift_spec = (
None, # 0
None, # 1
(2, TType.STRING, 'table_name', 'UTF8', None, ), # 2
(3, TType.LIST, 'query_record_array', (TType.STRUCT, [RowRecord, None], False), None, ), # 3
(4, TType.LIST, 'query_range_array', (TType.STRUCT, [Range, None], False), None, ), # 4
(5, TType.I64, 'topk', None, None, ), # 5
)
class SearchVector_result(object):
"""
Attributes:
- success
- e
"""
def __init__(self, success=None, e=None,):
self.success = success
self.e = e
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.LIST:
self.success = []
(_etype38, _size35) = iprot.readListBegin()
for _i39 in range(_size35):
_elem40 = TopKQueryResult()
_elem40.read(iprot)
self.success.append(_elem40)
iprot.readListEnd()
else:
iprot.skip(ftype)
elif fid == 1:
if ftype == TType.STRUCT:
self.e = Exception()
self.e.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('SearchVector_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.LIST, 0)
oprot.writeListBegin(TType.STRUCT, len(self.success))
for iter41 in self.success:
iter41.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
if self.e is not None:
oprot.writeFieldBegin('e', TType.STRUCT, 1)
self.e.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(SearchVector_result)
SearchVector_result.thrift_spec = (
(0, TType.LIST, 'success', (TType.STRUCT, [TopKQueryResult, None], False), None, ), # 0
(1, TType.STRUCT, 'e', [Exception, None], None, ), # 1
)
class SearchVectorInFiles_args(object):
"""
Attributes:
- table_name
- file_id_array
- query_record_array
- query_range_array
- topk
"""
def __init__(self, table_name=None, file_id_array=None, query_record_array=None, query_range_array=None, topk=None,):
self.table_name = table_name
self.file_id_array = file_id_array
self.query_record_array = query_record_array
self.query_range_array = query_range_array
self.topk = topk
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 2:
if ftype == TType.STRING:
self.table_name = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
elif fid == 3:
if ftype == TType.LIST:
self.file_id_array = []
(_etype45, _size42) = iprot.readListBegin()
for _i46 in range(_size42):
_elem47 = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
self.file_id_array.append(_elem47)
iprot.readListEnd()
else:
iprot.skip(ftype)
elif fid == 4:
if ftype == TType.LIST:
self.query_record_array = []
(_etype51, _size48) = iprot.readListBegin()
for _i52 in range(_size48):
_elem53 = RowRecord()
_elem53.read(iprot)
self.query_record_array.append(_elem53)
iprot.readListEnd()
else:
iprot.skip(ftype)
elif fid == 5:
if ftype == TType.LIST:
self.query_range_array = []
(_etype57, _size54) = iprot.readListBegin()
for _i58 in range(_size54):
_elem59 = Range()
_elem59.read(iprot)
self.query_range_array.append(_elem59)
iprot.readListEnd()
else:
iprot.skip(ftype)
elif fid == 6:
if ftype == TType.I64:
self.topk = iprot.readI64()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('SearchVectorInFiles_args')
if self.table_name is not None:
oprot.writeFieldBegin('table_name', TType.STRING, 2)
oprot.writeString(self.table_name.encode('utf-8') if sys.version_info[0] == 2 else self.table_name)
oprot.writeFieldEnd()
if self.file_id_array is not None:
oprot.writeFieldBegin('file_id_array', TType.LIST, 3)
oprot.writeListBegin(TType.STRING, len(self.file_id_array))
for iter60 in self.file_id_array:
oprot.writeString(iter60.encode('utf-8') if sys.version_info[0] == 2 else iter60)
oprot.writeListEnd()
oprot.writeFieldEnd()
if self.query_record_array is not None:
oprot.writeFieldBegin('query_record_array', TType.LIST, 4)
oprot.writeListBegin(TType.STRUCT, len(self.query_record_array))
for iter61 in self.query_record_array:
iter61.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
if self.query_range_array is not None:
oprot.writeFieldBegin('query_range_array', TType.LIST, 5)
oprot.writeListBegin(TType.STRUCT, len(self.query_range_array))
for iter62 in self.query_range_array:
iter62.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
if self.topk is not None:
oprot.writeFieldBegin('topk', TType.I64, 6)
oprot.writeI64(self.topk)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(SearchVectorInFiles_args)
SearchVectorInFiles_args.thrift_spec = (
None, # 0
None, # 1
(2, TType.STRING, 'table_name', 'UTF8', None, ), # 2
(3, TType.LIST, 'file_id_array', (TType.STRING, 'UTF8', False), None, ), # 3
(4, TType.LIST, 'query_record_array', (TType.STRUCT, [RowRecord, None], False), None, ), # 4
(5, TType.LIST, 'query_range_array', (TType.STRUCT, [Range, None], False), None, ), # 5
(6, TType.I64, 'topk', None, None, ), # 6
)
class SearchVectorInFiles_result(object):
"""
Attributes:
- success
- e
"""
def __init__(self, success=None, e=None,):
self.success = success
self.e = e
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.LIST:
self.success = []
(_etype66, _size63) = iprot.readListBegin()
for _i67 in range(_size63):
_elem68 = TopKQueryResult()
_elem68.read(iprot)
self.success.append(_elem68)
iprot.readListEnd()
else:
iprot.skip(ftype)
elif fid == 1:
if ftype == TType.STRUCT:
self.e = Exception()
self.e.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('SearchVectorInFiles_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.LIST, 0)
oprot.writeListBegin(TType.STRUCT, len(self.success))
for iter69 in self.success:
iter69.write(oprot)
oprot.writeListEnd()
oprot.writeFieldEnd()
if self.e is not None:
oprot.writeFieldBegin('e', TType.STRUCT, 1)
self.e.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(SearchVectorInFiles_result)
SearchVectorInFiles_result.thrift_spec = (
(0, TType.LIST, 'success', (TType.STRUCT, [TopKQueryResult, None], False), None, ), # 0
(1, TType.STRUCT, 'e', [Exception, None], None, ), # 1
)
class DescribeTable_args(object):
"""
Attributes:
- table_name
"""
def __init__(self, table_name=None,):
self.table_name = table_name
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 2:
if ftype == TType.STRING:
self.table_name = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('DescribeTable_args')
if self.table_name is not None:
oprot.writeFieldBegin('table_name', TType.STRING, 2)
oprot.writeString(self.table_name.encode('utf-8') if sys.version_info[0] == 2 else self.table_name)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(DescribeTable_args)
DescribeTable_args.thrift_spec = (
None, # 0
None, # 1
(2, TType.STRING, 'table_name', 'UTF8', None, ), # 2
)
class DescribeTable_result(object):
"""
Attributes:
- success
- e
"""
def __init__(self, success=None, e=None,):
self.success = success
self.e = e
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRUCT:
self.success = TableSchema()
self.success.read(iprot)
else:
iprot.skip(ftype)
elif fid == 1:
if ftype == TType.STRUCT:
self.e = Exception()
self.e.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('DescribeTable_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRUCT, 0)
self.success.write(oprot)
oprot.writeFieldEnd()
if self.e is not None:
oprot.writeFieldBegin('e', TType.STRUCT, 1)
self.e.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(DescribeTable_result)
DescribeTable_result.thrift_spec = (
(0, TType.STRUCT, 'success', [TableSchema, None], None, ), # 0
(1, TType.STRUCT, 'e', [Exception, None], None, ), # 1
)
class GetTableRowCount_args(object):
"""
Attributes:
- table_name
"""
def __init__(self, table_name=None,):
self.table_name = table_name
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 2:
if ftype == TType.STRING:
self.table_name = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('GetTableRowCount_args')
if self.table_name is not None:
oprot.writeFieldBegin('table_name', TType.STRING, 2)
oprot.writeString(self.table_name.encode('utf-8') if sys.version_info[0] == 2 else self.table_name)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(GetTableRowCount_args)
GetTableRowCount_args.thrift_spec = (
None, # 0
None, # 1
(2, TType.STRING, 'table_name', 'UTF8', None, ), # 2
)
class GetTableRowCount_result(object):
"""
Attributes:
- success
- e
"""
def __init__(self, success=None, e=None,):
self.success = success
self.e = e
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.I64:
self.success = iprot.readI64()
else:
iprot.skip(ftype)
elif fid == 1:
if ftype == TType.STRUCT:
self.e = Exception()
self.e.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('GetTableRowCount_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.I64, 0)
oprot.writeI64(self.success)
oprot.writeFieldEnd()
if self.e is not None:
oprot.writeFieldBegin('e', TType.STRUCT, 1)
self.e.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(GetTableRowCount_result)
GetTableRowCount_result.thrift_spec = (
(0, TType.I64, 'success', None, None, ), # 0
(1, TType.STRUCT, 'e', [Exception, None], None, ), # 1
)
class ShowTables_args(object):
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('ShowTables_args')
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(ShowTables_args)
ShowTables_args.thrift_spec = (
)
class ShowTables_result(object):
"""
Attributes:
- success
- e
"""
def __init__(self, success=None, e=None,):
self.success = success
self.e = e
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.LIST:
self.success = []
(_etype73, _size70) = iprot.readListBegin()
for _i74 in range(_size70):
_elem75 = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
self.success.append(_elem75)
iprot.readListEnd()
else:
iprot.skip(ftype)
elif fid == 1:
if ftype == TType.STRUCT:
self.e = Exception()
self.e.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('ShowTables_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.LIST, 0)
oprot.writeListBegin(TType.STRING, len(self.success))
for iter76 in self.success:
oprot.writeString(iter76.encode('utf-8') if sys.version_info[0] == 2 else iter76)
oprot.writeListEnd()
oprot.writeFieldEnd()
if self.e is not None:
oprot.writeFieldBegin('e', TType.STRUCT, 1)
self.e.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(ShowTables_result)
ShowTables_result.thrift_spec = (
(0, TType.LIST, 'success', (TType.STRING, 'UTF8', False), None, ), # 0
(1, TType.STRUCT, 'e', [Exception, None], None, ), # 1
)
class Ping_args(object):
"""
Attributes:
- cmd
"""
def __init__(self, cmd=None,):
self.cmd = cmd
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 2:
if ftype == TType.STRING:
self.cmd = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('Ping_args')
if self.cmd is not None:
oprot.writeFieldBegin('cmd', TType.STRING, 2)
oprot.writeString(self.cmd.encode('utf-8') if sys.version_info[0] == 2 else self.cmd)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(Ping_args)
Ping_args.thrift_spec = (
None, # 0
None, # 1
(2, TType.STRING, 'cmd', 'UTF8', None, ), # 2
)
class Ping_result(object):
"""
Attributes:
- success
- e
"""
def __init__(self, success=None, e=None,):
self.success = success
self.e = e
def read(self, iprot):
if iprot._fast_decode is not None and isinstance(iprot.trans, TTransport.CReadableTransport) and self.thrift_spec is not None:
iprot._fast_decode(self, iprot, [self.__class__, self.thrift_spec])
return
iprot.readStructBegin()
while True:
(fname, ftype, fid) = iprot.readFieldBegin()
if ftype == TType.STOP:
break
if fid == 0:
if ftype == TType.STRING:
self.success = iprot.readString().decode('utf-8') if sys.version_info[0] == 2 else iprot.readString()
else:
iprot.skip(ftype)
elif fid == 1:
if ftype == TType.STRUCT:
self.e = Exception()
self.e.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, [self.__class__, self.thrift_spec]))
return
oprot.writeStructBegin('Ping_result')
if self.success is not None:
oprot.writeFieldBegin('success', TType.STRING, 0)
oprot.writeString(self.success.encode('utf-8') if sys.version_info[0] == 2 else self.success)
oprot.writeFieldEnd()
if self.e is not None:
oprot.writeFieldBegin('e', TType.STRUCT, 1)
self.e.write(oprot)
oprot.writeFieldEnd()
oprot.writeFieldStop()
oprot.writeStructEnd()
def validate(self):
return
def __repr__(self):
L = ['%s=%r' % (key, value)
for key, value in self.__dict__.items()]
return '%s(%s)' % (self.__class__.__name__, ', '.join(L))
def __eq__(self, other):
return isinstance(other, self.__class__) and self.__dict__ == other.__dict__
def __ne__(self, other):
return not (self == other)
all_structs.append(Ping_result)
Ping_result.thrift_spec = (
(0, TType.STRING, 'success', 'UTF8', None, ), # 0
(1, TType.STRUCT, 'e', [Exception, None], None, ), # 1
)
fix_spec(all_structs)
del all_structs
| 33.878897 | 159 | 0.58735 | 8,035 | 74,974 | 5.2458 | 0.035345 | 0.028612 | 0.025836 | 0.021352 | 0.868446 | 0.844223 | 0.829395 | 0.810249 | 0.80605 | 0.80344 | 0 | 0.00847 | 0.314963 | 74,974 | 2,212 | 160 | 33.894213 | 0.812208 | 0.064849 | 0 | 0.790382 | 1 | 0 | 0.035549 | 0.001375 | 0 | 0 | 0 | 0 | 0 | 1 | 0.106658 | false | 0.005549 | 0.004932 | 0.033292 | 0.202219 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
4ab8f602aa91e33161e314eee20caa0418875d2a | 94,612 | py | Python | aries_cloudagent/protocols/present_proof/dif/tests/test_data.py | mduffin95/aries-cloudagent-python | cb102bcb796dd6e7aec95eb4fe753b10f0c612b3 | [
"Apache-2.0"
] | 2 | 2021-11-14T16:28:57.000Z | 2022-02-10T11:01:28.000Z | aries_cloudagent/protocols/present_proof/dif/tests/test_data.py | estrehle/aries-cloudagent-python | 1460b2d32c933944b4677cf25a78c4ace07346c8 | [
"Apache-2.0"
] | null | null | null | aries_cloudagent/protocols/present_proof/dif/tests/test_data.py | estrehle/aries-cloudagent-python | 1460b2d32c933944b4677cf25a78c4ace07346c8 | [
"Apache-2.0"
] | null | null | null | """Data for DIFPresExchHandler."""
import json
from pyld import jsonld
from pyld.jsonld import JsonLdProcessor
from .....storage.vc_holder.vc_record import VCRecord
from ..pres_exch import PresentationDefinition
def create_vcrecord(cred_dict: dict, expanded_types: list):
given_id = cred_dict.get("id")
contexts = [ctx for ctx in cred_dict.get("@context") if type(ctx) is str]
# issuer
issuer = cred_dict.get("issuer")
if type(issuer) is dict:
issuer = issuer.get("id")
# subjects
subjects = cred_dict.get("credentialSubject")
if type(subjects) is dict:
subjects = [subjects]
subject_ids = [subject.get("id") for subject in subjects if subject.get("id")]
# Schemas
schemas = cred_dict.get("credentialSchema", [])
if type(schemas) is dict:
schemas = [schemas]
schema_ids = [schema.get("id") for schema in schemas]
# Proofs (this can be done easier if we use the expanded version)
proofs = cred_dict.get("proof") or []
proof_types = None
if type(proofs) is dict:
proofs = [proofs]
if proofs:
proof_types = [proof.get("type") for proof in proofs]
return VCRecord(
contexts=contexts,
expanded_types=expanded_types,
issuer_id=issuer,
subject_ids=subject_ids,
proof_types=proof_types,
given_id=given_id,
cred_value=cred_dict,
schema_ids=schema_ids,
)
is_holder_pd = PresentationDefinition.deserialize(
{
"id": "32f54163-7166-48f1-93d8-ff217bdb0653",
"submission_requirements": [
{
"name": "European Union Citizenship Proofs",
"rule": "all",
"from": "A",
}
],
"input_descriptors": [
{
"id": "citizenship_input_1",
"group": ["A"],
"schema": [
{"uri": "https://www.w3.org/2018/credentials#VerifiableCredential"},
{"uri": "https://w3id.org/citizenship#PermanentResidentCard"},
],
"constraints": {
"is_holder": [
{
"directive": "required",
"field_id": ["1f44d55f-f161-4938-a659-f8026467f126"],
}
],
"fields": [
{
"id": "1f44d55f-f161-4938-a659-f8026467f126",
"path": ["$.issuanceDate", "$.vc.issuanceDate"],
"filter": {
"type": "string",
"format": "date",
"maximum": "2014-5-16",
},
}
],
},
}
],
}
)
is_holder_pd_multiple_fields_included = PresentationDefinition.deserialize(
{
"id": "32f54163-7166-48f1-93d8-ff217bdb0653",
"submission_requirements": [
{
"name": "European Union Citizenship Proofs",
"rule": "all",
"from": "A",
}
],
"input_descriptors": [
{
"id": "citizenship_input_1",
"group": ["A"],
"schema": [
{"uri": "https://www.w3.org/2018/credentials#VerifiableCredential"},
{"uri": "https://w3id.org/citizenship#PermanentResidentCard"},
],
"constraints": {
"is_holder": [
{
"directive": "required",
"field_id": [
"1f44d55f-f161-4938-a659-f8026467f126",
"1f44d55f-f161-4938-a659-f8026467f127",
],
}
],
"fields": [
{
"id": "1f44d55f-f161-4938-a659-f8026467f126",
"path": ["$.issuanceDate", "$.vc.issuanceDate"],
"filter": {
"type": "string",
"format": "date",
"maximum": "2014-5-16",
},
},
{
"id": "1f44d55f-f161-4938-a659-f8026467f127",
"path": ["$.issuanceDate", "$.vc.issuanceDate"],
"filter": {
"type": "string",
"format": "date",
"minimum": "2005-5-16",
},
},
],
},
}
],
}
)
is_holder_pd_multiple_fields_excluded = PresentationDefinition.deserialize(
{
"id": "32f54163-7166-48f1-93d8-ff217bdb0653",
"submission_requirements": [
{
"name": "European Union Citizenship Proofs",
"rule": "all",
"from": "A",
}
],
"input_descriptors": [
{
"id": "citizenship_input_1",
"group": ["A"],
"schema": [
{"uri": "https://www.w3.org/2018/credentials#VerifiableCredential"},
{"uri": "https://w3id.org/citizenship#PermanentResidentCard"},
],
"constraints": {
"is_holder": [
{
"directive": "required",
"field_id": ["1f44d55f-f161-4938-a659-f8026467f126"],
}
],
"fields": [
{
"id": "1f44d55f-f161-4938-a659-f8026467f126",
"path": ["$.issuanceDate", "$.vc.issuanceDate"],
"filter": {
"type": "string",
"format": "date",
"maximum": "2014-5-16",
},
},
{
"id": "1f44d55f-f161-4938-a659-f8026467f127",
"path": ["$.issuanceDate", "$.vc.issuanceDate"],
"filter": {
"type": "string",
"format": "date",
"minimum": "2005-5-16",
},
},
],
},
}
],
}
)
creds_with_no_id = [
create_vcrecord(
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"type": ["PermanentResident", "Person"],
"givenName": "TEST",
"familyName": "SMITH",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2015-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-999",
"commuterClassification": "C1",
"birthCountry": "Bahamas",
"birthDate": "1958-07-17",
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa#zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"created": "2019-12-11T03:50:55",
"proofPurpose": "assertionMethod",
"proofValue": "mMEjznbr4lN5xQT0OuLJ94pKSSBEwBxKNHBPxfjwhRq2NnDaTH/mb+PdPnmfUgKvA8h5hI9Ho3qfY8TWmJtLsYSmJFZoG/FARQuwJJbTW/tVZoA2FVVKZGEsGt2MHsr1z/W30cXnmRyQzgqh4lnhQg==",
},
},
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://w3id.org/citizenship#PermanentResidentCard",
],
),
create_vcrecord(
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"type": ["PermanentResident", "Person"],
"givenName": "TEST",
"familyName": "SMITH",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2015-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-999",
"commuterClassification": "C1",
"birthCountry": "Bahamas",
"birthDate": "1958-07-17",
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa#zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"created": "2019-12-11T03:50:55",
"proofPurpose": "assertionMethod",
"proofValue": "rf5LlOFiB5oAl/hSEeaN/H3vx+3AXVpL4O4abtLmYb1aUF+WBOX3HBx5SrTkcwUgJBAPNoFX9l2PVDjTGy/eCjDerDG0DN5ZR+YwjebcZeclzE3Yv2hsnan1M/OTAc9GTNWE3p9lXbRxHNvwTXX6ug==",
},
},
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://w3id.org/citizenship#PermanentResidentCard",
],
),
]
bbs_signed_cred_no_credsubjectid = [
create_vcrecord(
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627465",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"identifier": "83627465",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2019-12-03T12:19:52Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"type": ["PermanentResident", "Person"],
"givenName": "JOHN",
"familyName": "SMITH",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2015-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-999",
"commuterClassification": "C1",
"birthCountry": "Bahamas",
"birthDate": "1958-07-17",
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa#zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"created": "2019-12-11T03:50:55",
"proofPurpose": "assertionMethod",
"proofValue": "hG9cNGyjjAgPkDmtNv/+28ciBZFUVcAG2gfvLBlTWeFyYJu6DARo16RwQAoSnrgVRQn3n7KCSdnSrPb3op1+vSTu2vo+LF3GfSfqlei44bwA+c2FBIRk7S3FKY6Lm5mqOtC2Q4LStC9HtaOj8vQhgA==",
},
},
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://w3id.org/citizenship#PermanentResidentCard",
],
),
create_vcrecord(
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"credentialSubject": {
"birthCountry": "Bahamas",
"birthDate": "1958-07-17",
"familyName": "SMITH",
"gender": "Female",
"givenName": "ALICE",
"type": ["PermanentResident", "Person"],
},
"issuanceDate": "2020-01-01T12:00:00Z",
"issuer": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa#zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"created": "2019-12-11T03:50:55",
"proofPurpose": "assertionMethod",
"proofValue": "haUMgpZE4hPiIEvzdEWyGsvXh1enQvhsOq2cMf3q80u29ybRDi74zU0O+fug1bWiMxeFOboxsfuEKXGC4Ldw0sCsIs+90Jn4EuTqhY4ml8YWsKY9Kjpxvtpc0e24SOl++oo48EICfUxb24HYlQ35pw==",
},
},
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://w3id.org/citizenship#PermanentResidentCard",
],
),
create_vcrecord(
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://www.w3.org/2018/credentials/examples/v1",
"https://w3id.org/security/bbs/v1",
],
"id": "https://example.gov/credentials/3732",
"type": ["VerifiableCredential", "UniversityDegreeCredential"],
"issuer": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"issuanceDate": "2020-03-10T04:24:12.164Z",
"credentialSubject": {
"degree": {
"type": "BachelorDegree",
"name": "Bachelor of Science and Arts",
"degreeType": "Underwater Basket Weaving",
},
"college": "Contoso University",
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa#zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"created": "2019-12-11T03:50:55",
"proofPurpose": "assertionMethod",
"proofValue": "iRArJRSvmIwx5YH2HXg5OJD+0v5sD1HoqhBsiJiw59t3Eb6nSntyOnENEnqnpzQwCjtbvOsU18eBlVi2/ign1u1ysz0iOLxSRHvIKtDDpr1dTDwQCbuZo2gUnY+8Dy+xEst8MDtcXwzNQW8Y3l1XzA==",
},
},
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://example.org/examples#UniversityDegreeCredential",
],
),
]
bbs_signed_cred_credsubjectid = [
create_vcrecord(
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627465",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"identifier": "83627465",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2019-12-03T12:19:52Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"type": ["PermanentResident", "Person"],
"givenName": "JOHN",
"familyName": "SMITH",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2015-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-999",
"commuterClassification": "C1",
"birthCountry": "Bahamas",
"birthDate": "1958-07-17",
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa#zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"created": "2019-12-11T03:50:55",
"proofPurpose": "assertionMethod",
"proofValue": "s++A89p+SvIHvY9pnIKIPsLjrLGGk2cs+LfpTWCsE0S1Y5Rg1h9OA5c84Vzqlc3kGfM3zdYpHrO9v0/vBFLQ3HV9wH7xgmD9MPVN+klsaQJdobRpJMjlBni7/QA2/+0szT2P1FJ537lGjyuRboVWng==",
},
},
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://w3id.org/citizenship#PermanentResidentCard",
],
),
create_vcrecord(
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://www.w3.org/2018/credentials/examples/v1",
"https://w3id.org/security/bbs/v1",
],
"id": "https://example.gov/credentials/3732",
"type": ["VerifiableCredential", "UniversityDegreeCredential"],
"issuer": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"issuanceDate": "2020-03-10T04:24:12.164Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"degree": {
"type": "BachelorDegree",
"name": "Bachelor of Science and Arts",
"degreeType": "Underwater Basket Weaving",
},
"college": "Contoso University",
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa#zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"created": "2019-12-11T03:50:55",
"proofPurpose": "assertionMethod",
"proofValue": "iGAQ4bOxuqkoCbX3RoxTqFkJsoqPcEeRN2vqIzd/zWLS+VHCwYkQHu/TeMOrit4eb6eugbJFUBaoenZyy2VU/7Rsj614sNzumJFuJ6ZaDTlv0k70CkO9GheQTc+Gwv749Y3JzPJ0dwYGUzzcyytFCQ==",
},
},
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://example.org/examples#UniversityDegreeCredential",
],
),
]
bbs_bls_number_filter_creds = [
create_vcrecord(
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627465",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:example:489398593",
"identifier": "83627465",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"type": ["PermanentResident", "Person"],
"givenName": "JOHN",
"familyName": "SMITH",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2015-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-999",
"commuterClassification": "C1",
"birthCountry": "Bahamas",
"birthDate": "1958-07-17",
"test": 2,
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:example:489398593#test",
"created": "2021-04-13T23:23:56.045014",
"proofPurpose": "assertionMethod",
"proofValue": "rhD+4HOhPfLywBuhLYMi1i0kWa/L2Qipt+sqTRiebjoo4OF3ESoGnm+L4Movz128Mjns60H0Bz7W+aqN1dPP9uhU/FGBKW/LEIGJX1rrrYgn17CkWp46z/hwQy+8c9ulOCn0Yq3BDqB37euoBTZbOQ==",
},
},
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://w3id.org/citizenship#PermanentResidentCard",
],
),
create_vcrecord(
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627466",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:example:489398593",
"identifier": "83627466",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"type": ["PermanentResident", "Person"],
"givenName": "Theodor",
"familyName": "Major",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2017-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-999",
"commuterClassification": "C1",
"birthCountry": "Canada",
"birthDate": "1968-07-17",
"test": 2,
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:example:489398593#test",
"created": "2021-04-13T23:33:05.798834",
"proofPurpose": "assertionMethod",
"proofValue": "jp8ahSYYFhRAk+1ahfG8qu7iEjQnEXp3P3fWgTrc4khxmw9/9mGACq67YW9r917/aKYTQcVyojelN3cBHrjBvaOzb7bZ6Ps0Wf6WFq1gc0QFUrdiN0mJRl5YAz8R16sLxrPsoS/8ji1MoabjqmlnWQ==",
},
},
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://w3id.org/citizenship#PermanentResidentCard",
],
),
create_vcrecord(
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627467",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:example:489398593",
"identifier": "83627467",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"type": ["PermanentResident", "Person"],
"givenName": "Cai",
"familyName": "Leblanc",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2015-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-9989",
"commuterClassification": "C1",
"birthCountry": "Canada",
"birthDate": "1975-07-17",
"test": 3,
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:example:489398593#test",
"created": "2021-04-13T23:40:44.835154",
"proofPurpose": "assertionMethod",
"proofValue": "t8+TPbYqF/dGlEn+qNnEFL1L0QeUjgXlYfJ7AelzOhb7cr2CjP/MIcG5bAQ5l6F2OZKNyE8RsPY14xedrkxpyv1oyWPmXzOwr0gt6ElLJm9jAUwFoZ7xAYHSedcR3Lh4FFuqmxfBHYF3A6VgSlMSfA==",
},
},
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://w3id.org/citizenship#PermanentResidentCard",
],
),
]
edd_jsonld_creds = [
create_vcrecord(
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627465",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:example:489398593",
"identifier": "83627465",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"type": ["PermanentResident", "Person"],
"givenName": "JOHN",
"familyName": "SMITH",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2015-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-999",
"commuterClassification": "C1",
"birthCountry": "Bahamas",
"birthDate": "1958-07-17",
},
"proof": {
"type": "Ed25519Signature2018",
"verificationMethod": "did:key:z6Mkgg342Ycpuk263R9d8Aq6MUaxPn1DDeHyGo38EefXmgDL#z6Mkgg342Ycpuk263R9d8Aq6MUaxPn1DDeHyGo38EefXmgDL",
"created": "2021-05-07T08:47:13.090322",
"proofPurpose": "assertionMethod",
"jws": "eyJhbGciOiAiRWREU0EiLCAiYjY0IjogZmFsc2UsICJjcml0IjogWyJiNjQiXX0..HHEpbiQp781YtXdxmYr3xO9a8OtHSePjySbgwGaSqiHGjd9hO0AnhkFxlBlrGukp5rkiJccr4p9KV3uKDzkqDA",
},
},
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://w3id.org/citizenship#PermanentResidentCard",
],
),
create_vcrecord(
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627466",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:example:489398593",
"identifier": "83627466",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"type": ["PermanentResident", "Person"],
"givenName": "Theodor",
"familyName": "Major",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2017-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-999",
"commuterClassification": "C1",
"birthCountry": "Canada",
"birthDate": "1968-07-17",
},
"proof": {
"type": "Ed25519Signature2018",
"verificationMethod": "did:key:z6Mkgg342Ycpuk263R9d8Aq6MUaxPn1DDeHyGo38EefXmgDL#z6Mkgg342Ycpuk263R9d8Aq6MUaxPn1DDeHyGo38EefXmgDL",
"created": "2021-05-07T08:48:49.702706",
"proofPurpose": "assertionMethod",
"jws": "eyJhbGciOiAiRWREU0EiLCAiYjY0IjogZmFsc2UsICJjcml0IjogWyJiNjQiXX0..r88-rSvqp_JLr2fnGr8nKEU--Hu6UhzjXOmdWpt082Wc6ojWpOANvv2wbgKrs5kXF5ATb8-AZ01VPpHdv4m9CQ",
},
},
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://w3id.org/citizenship#PermanentResidentCard",
],
),
create_vcrecord(
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627467",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:example:489398593",
"identifier": "83627467",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"type": ["PermanentResident", "Person"],
"givenName": "Cai",
"familyName": "Leblanc",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2015-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-9989",
"commuterClassification": "C1",
"birthCountry": "Canada",
"birthDate": "1975-07-17",
},
"proof": {
"type": "Ed25519Signature2018",
"verificationMethod": "did:key:z6Mkgg342Ycpuk263R9d8Aq6MUaxPn1DDeHyGo38EefXmgDL#z6Mkgg342Ycpuk263R9d8Aq6MUaxPn1DDeHyGo38EefXmgDL",
"created": "2021-05-07T08:50:17.626625",
"proofPurpose": "assertionMethod",
"jws": "eyJhbGciOiAiRWREU0EiLCAiYjY0IjogZmFsc2UsICJjcml0IjogWyJiNjQiXX0..rubQvgig7cN-F6cYn_AJF1BCSaMpkoR517Ot_4pqwdJnQ-JwKXq6d6cNos5JR73E9WkwYISXapY0fYTIG9-fBA",
},
},
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://w3id.org/citizenship#PermanentResidentCard",
],
),
]
CRED_LIST = [
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627465",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"identifier": "83627465",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"type": ["PermanentResident", "Person"],
"givenName": "JOHN",
"familyName": "SMITH",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2015-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-999",
"commuterClassification": "C1",
"birthCountry": "Bahamas",
"birthDate": "1958-07-17",
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa#zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"created": "2019-12-11T03:50:55",
"proofPurpose": "assertionMethod",
"proofValue": "ssut7SPH6KiY44z5w9N/dD+L8KxS7pXF5irVyty0IlafX7hn5AZNd1rb7fhzVz6wZo9nK/nu/bYs9zhuJggTbuQNPWyOWiFmd3uSxr+CrTYUZ/u31s7gaqEYv4pUBoKgMx6WKkOApELtOI4e0PFddA==",
},
},
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627466",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"identifier": "83627466",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"type": ["PermanentResident", "Person"],
"givenName": "Theodor",
"familyName": "Major",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2017-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-999",
"commuterClassification": "C1",
"birthCountry": "Canada",
"birthDate": "1968-07-17",
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa#zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"created": "2019-12-11T03:50:55",
"proofPurpose": "assertionMethod",
"proofValue": "tnRgimJXy8mP7Amk8dPiJnJc+WhAFiYPF8hpRlqOPsSom4cF1VAxaiAN2o3io1kYajUtmXAJLxNNLOZkXDBblcqZAu5mHKEPWc/nctu3vNs4gs5f7tWZX7lm6JK71pLJq8lWbyIufIm/BnCjeIll5g==",
},
},
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627467",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:sov:2wJPyULfLLnYTEFYzByfUR",
"identifier": "83627467",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"type": ["PermanentResident", "Person"],
"givenName": "Cai",
"familyName": "Leblanc",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2015-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-9989",
"commuterClassification": "C1",
"birthCountry": "Canada",
"birthDate": "1975-07-17",
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa#zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"created": "2019-12-11T03:50:55",
"proofPurpose": "assertionMethod",
"proofValue": "l1sdjvIhlkAPb+Y1vUYgIVH9YhiWSFjJFOL1ntzN9jXvOqv7/RMFhoAxg0BTYU1ITHK5l/6Q5lwmtkKxJMt/Z+QPZ8yWDIwqX8kVXFxKo9st8T45ChYiizc75E+Rd7Z5qIidmuulyPvpHlpgHYLZsQ==",
},
},
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627468",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:example:489398593",
"identifier": "83627468",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"type": ["PermanentResident", "Person"],
"givenName": "Jamel",
"familyName": "Huber",
"gender": "Female",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2012-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-000",
"commuterClassification": "C1",
"birthCountry": "United States",
"birthDate": "1959-07-17",
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa#zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"created": "2019-12-11T03:50:55",
"proofPurpose": "assertionMethod",
"proofValue": "rtG10rBsv8zXHBGWqHTeGyH9Y3oMa6xHjBvsJ5YHeocUBxOCge2WEs1tr60hjI4SEpi3JHSJOfd1wJEvfvMg/x6YnTZoA2UXiHBu/6vANx43EfTgbq4YDrrf1aTtQgpZDp/J4GaKoeUshuPXyf8LyA==",
},
},
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627469",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:sov:2wJPyULfLLnYTEFYzByfUR",
"identifier": "83627469",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"type": ["PermanentResident", "Person"],
"givenName": "Vivek",
"familyName": "Easton",
"gender": "Male",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2019-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-888",
"commuterClassification": "C1",
"birthCountry": "India",
"birthDate": "1990-07-17",
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa#zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"created": "2019-12-11T03:50:55",
"proofPurpose": "assertionMethod",
"proofValue": "pvo7gqDgu9mMjcZafvS8gRz0mIRfFnRCNmp39cZ/92R3UDG5bmxPhh4nG2k1kjaza8wFfaqjaBxsonV+FkQUMzUWbZkn2vstEcGCJllDHFBQiDcf8MVCiCcbGBLpU9MXjnyzhwA5AteG9a2YcvRh/w==",
},
},
{
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/citizenship/v1",
"https://w3id.org/security/bbs/v1",
],
"id": "https://issuer.oidp.uscis.gov/credentials/83627470",
"type": ["VerifiableCredential", "PermanentResidentCard"],
"issuer": "did:sov:2wJPyULfLLnYTEFYzByfUR",
"identifier": "83627470",
"name": "Permanent Resident Card",
"description": "Government of Example Permanent Resident Card.",
"issuanceDate": "2010-01-01T19:53:24Z",
"expirationDate": "2029-12-03T12:19:52Z",
"credentialSubject": {
"id": "did:sov:WgWxqztrNooG92RXvxSTWv",
"type": ["PermanentResident", "Person"],
"givenName": "Ralphie",
"familyName": "Jennings",
"gender": "Female",
"image": "data:image/png;base64,iVBORw0KGgokJggg==",
"residentSince": "2010-01-01",
"lprCategory": "C09",
"lprNumber": "999-999-777",
"commuterClassification": "C1",
"birthCountry": "Canada",
"birthDate": "1980-07-17",
},
"proof": {
"type": "BbsBlsSignature2020",
"verificationMethod": "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa#zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa",
"created": "2019-12-11T03:50:55",
"proofPurpose": "assertionMethod",
"proofValue": "pVuvbBfGnVbwwht1s4qZSCoLlZ8nwqvsmNKR+1VTesA+7tXPriJCdlnNFDL0Gkh5TV5E0NOS8WNttE5Uhhqakmjcs7L4hIr4PoVtCLFAF1tce8n4Z/5PKD7IuGIdCDbn77fjQffu2Cs+JDBVVcQRBA==",
},
},
]
# [Nested_From] Either or case
# Exclusive Disjunction
# -----------------------
# |_x_|_y_|_output_|
# | T | T | F |
# | T | F | T |
# | F | T | T |
# | F | F | F |
# -----------------------
pres_exch_nested_srs_a = """
{
"id":"32f54163-7166-48f1-93d8-ff217bdb0653",
"submission_requirements":[
{
"name": "Citizenship Information",
"rule": "pick",
"count": 1,
"from_nested": [
{
"name": "United States Citizenship Proofs",
"purpose": "We need you to prove you are a US citizen.",
"rule": "all",
"from": "A"
},
{
"name": "European Union Citizenship Proofs",
"purpose": "We need you to prove you are a citizen of a EU country.",
"rule": "all",
"from": "B"
}
]
}
],
"input_descriptors":[
{
"id":"citizenship_input_1",
"name":"EU Driver's License",
"group":[
"A"
],
"schema":[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
"constraints":{
"fields":[
{
"path":[
"$.issuer.id",
"$.issuer",
"$.vc.issuer.id"
],
"purpose":"The claim must be from one of the specified issuers",
"filter":{
"type":"string",
"enum": ["did:example:489398593", "did:sov:2wJPyULfLLnYTEFYzByfUR"]
}
}
]
}
},
{
"id":"citizenship_input_2",
"name":"US Passport",
"group":[
"B"
],
"schema":[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
"constraints":{
"fields":[
{
"path":[
"$.issuanceDate",
"$.vc.issuanceDate"
],
"filter":{
"type":"string",
"format":"date",
"maximum":"2005-5-16"
}
}
]
}
}
]
}
"""
pres_exch_nested_srs_b = """
{
"id":"32f54163-7166-48f1-93d8-ff217bdb0653",
"submission_requirements":[
{
"name": "Citizenship Information",
"rule": "pick",
"count": 1,
"from_nested": [
{
"name": "United States Citizenship Proofs",
"purpose": "We need you to prove you are a US citizen.",
"rule": "all",
"from": "A"
},
{
"name": "European Union Citizenship Proofs",
"purpose": "We need you to prove you are a citizen of a EU country.",
"rule": "all",
"from": "B"
}
]
}
],
"input_descriptors":[
{
"id":"citizenship_input_1",
"name":"EU Driver's License",
"group":[
"A"
],
"schema":[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
"constraints":{
"fields":[
{
"path":[
"$.issuer.id",
"$.issuer",
"$.vc.issuer.id"
],
"purpose":"The claim must be from one of the specified issuers",
"filter":{
"type":"string",
"enum": ["did:example:489398593"]
}
}
]
}
},
{
"id":"citizenship_input_2",
"name":"US Passport",
"group":[
"B"
],
"schema":[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
"constraints":{
"fields":[
{
"path":[
"$.issuanceDate",
"$.vc.issuanceDate"
],
"filter":{
"type":"string",
"format":"date",
"maximum":"2012-5-16"
}
}
]
}
}
]
}
"""
pres_exch_nested_srs_c = """
{
"id":"32f54163-7166-48f1-93d8-ff217bdb0653",
"submission_requirements":[
{
"name": "Citizenship Information",
"rule": "pick",
"count": 1,
"from_nested": [
{
"name": "United States Citizenship Proofs",
"purpose": "We need you to prove you are a US citizen.",
"rule": "all",
"from": "A"
},
{
"name": "European Union Citizenship Proofs",
"purpose": "We need you to prove you are a citizen of a EU country.",
"rule": "all",
"from": "B"
}
]
}
],
"input_descriptors":[
{
"id":"citizenship_input_1",
"name":"EU Driver's License",
"group":[
"A"
],
"schema":[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
"constraints":{
"fields":[
{
"path":[
"$.issuer.id",
"$.issuer",
"$.vc.issuer.id"
],
"purpose":"The claim must be from one of the specified issuers",
"filter":{
"type":"string",
"enum": ["did:example:489398593", "did:sov:2wJPyULfLLnYTEFYzByfUR"]
}
}
]
}
},
{
"id":"citizenship_input_2",
"name":"US Passport",
"group":[
"B"
],
"schema":[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
"constraints":{
"fields":[
{
"path":[
"$.issuanceDate",
"$.vc.issuanceDate"
],
"filter":{
"type":"string",
"format":"date",
"minimum":"2005-5-16"
}
}
]
}
}
]
}
"""
pres_exch_multiple_srs_not_met = """
{
"id":"32f54163-7166-48f1-93d8-ff217bdb0653",
"submission_requirements":[
{
"name": "Citizenship Information",
"rule": "pick",
"count": 2,
"from": "A"
},
{
"name": "European Union Citizenship Proofs",
"purpose": "We need you to prove you are a citizen of a EU country.",
"rule": "all",
"from": "B"
}
],
"input_descriptors":[
{
"id":"citizenship_input_1",
"name":"EU Driver's License",
"group":[
"A"
],
"schema":[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
"constraints":{
"fields":[
{
"path":[
"$.issuer.id",
"$.vc.issuer.id",
"$.issuer"
],
"purpose":"The claim must be from one of the specified issuers",
"filter":{
"type":"string",
"enum": ["did:example:489398593", "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa", "did:sov:2wJPyULfLLnYTEFYzByfUR"]
}
}
]
}
},
{
"id":"citizenship_input_2",
"name":"US Passport",
"group":[
"B"
],
"schema":[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
"constraints":{
"fields":[
{
"path":[
"$.issuanceDate",
"$.vc.issuanceDate"
],
"filter":{
"type":"string",
"format":"date",
"exclusiveMinimum":"2009-5-16"
}
}
]
}
}
]
}
"""
pres_exch_multiple_srs_met_one_of_filter_invalid = """
{
"id":"32f54163-7166-48f1-93d8-ff217bdb0653",
"submission_requirements":[
{
"name": "Citizenship Information",
"rule": "all",
"from": "A"
},
{
"name": "European Union Citizenship Proofs",
"rule": "all",
"from": "B"
},
{
"name": "Date Test",
"rule": "all",
"from": "C"
}
],
"input_descriptors":[
{
"id":"citizenship_input_1",
"name":"EU Driver's License",
"group":[
"A"
],
"schema": [
{
"uri":"https://www.w3.org/Test#Test"
}
],
"constraints":{
"fields":[
{
"path":[
"$.issuer.id",
"$.vc.issuer.id",
"$.issuer"
],
"filter":{
"type":"string",
"enum": ["did:example:489398593", "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa", "did:sov:2wJPyULfLLnYTEFYzByfUR"]
}
}
]
}
},
{
"id":"citizenship_input_2",
"name":"US Passport",
"group":[
"B"
],
"schema":[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
"constraints":{
"fields":[
{
"path":[
"$.credentialSubject.gender"
],
"filter":{
"const":"Male"
}
}
]
}
},
{
"id":"citizenship_input_3",
"name":"US Passport",
"group":[
"C"
],
"schema":[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
"constraints":{
"fields":[
{
"path":[
"$.issuanceDate"
],
"filter":{
"type":"string",
"format":"date",
"minimum":"2005-5-16"
}
}
]
}
}
]
}
"""
pres_exch_multiple_srs_met_one_of_valid = """
{
"id":"32f54163-7166-48f1-93d8-ff217bdb0653",
"submission_requirements":[
{
"name": "Citizenship Information",
"rule": "all",
"from": "A"
},
{
"name": "European Union Citizenship Proofs",
"rule": "all",
"from": "B"
},
{
"name": "Date Test",
"rule": "all",
"from": "C"
}
],
"input_descriptors":[
{
"id":"citizenship_input_1",
"name":"EU Driver's License",
"group":[
"A"
],
"schema": {
"oneof_filter": [
[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
]
]
},
"constraints":{
"fields":[
{
"path":[
"$.issuer.id",
"$.vc.issuer.id",
"$.issuer"
],
"filter":{
"type":"string",
"enum": ["did:example:489398593", "did:key:zUC72Q7XD4PE4CrMiDVXuvZng3sBvMmaGgNeTUJuzavH2BS7ThbHL9FhsZM9QYY5fqAQ4MB8M9oudz3tfuaX36Ajr97QRW7LBt6WWmrtESe6Bs5NYzFtLWEmeVtvRYVAgjFcJSa", "did:sov:2wJPyULfLLnYTEFYzByfUR"]
}
}
]
}
},
{
"id":"citizenship_input_2",
"name":"US Passport",
"group":[
"B"
],
"schema":[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
"constraints":{
"fields":[
{
"path":[
"$.credentialSubject.gender"
],
"filter":{
"const":"Male"
}
}
]
}
},
{
"id":"citizenship_input_3",
"name":"US Passport",
"group":[
"C"
],
"schema":[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
"constraints":{
"fields":[
{
"path":[
"$.issuanceDate"
],
"filter":{
"type":"string",
"format":"date",
"minimum":"2005-5-16"
}
}
]
}
}
]
}
"""
pres_exch_datetime_minimum_met = """
{
"id":"32f54163-7166-48f1-93d8-ff217bdb0653",
"submission_requirements":[
{
"name": "European Union Citizenship Proofs",
"rule": "all",
"from": "A"
}
],
"input_descriptors":[
{
"id":"citizenship_input_1",
"group":[
"A"
],
"schema":[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
"constraints":{
"fields":[
{
"path":[
"$.issuanceDate",
"$.vc.issuanceDate"
],
"filter":{
"type":"string",
"format":"date",
"minimum":"2005-5-16"
}
}
]
}
}
]
}
"""
pres_exch_datetime_maximum_met = """
{
"id":"32f54163-7166-48f1-93d8-ff217bdb0653",
"submission_requirements":[
{
"name": "European Union Citizenship Proofs",
"rule": "all",
"from": "A"
}
],
"input_descriptors":[
{
"id":"citizenship_input_1",
"group":[
"A"
],
"schema": {
"oneof_filter": [
[
{
"uri":"https://www.w3.org/2018/credentials#VerifiableCredential"
},
{
"uri":"https://w3id.org/citizenship#PermanentResidentCard"
}
],
[
{
"uri":"https://w3id.org/Test#Test"
}
]
]
},
"constraints":{
"fields":[
{
"path":[
"$.issuanceDate",
"$.vc.issuanceDate"
],
"filter":{
"type":"string",
"format":"date",
"maximum":"2014-5-16"
}
}
]
}
}
]
}
"""
TEST_CRED_DICT = {
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/security/bbs/v1",
{
"MedicalPass": {
"@id": "https://www.vdel.com/MedicalPass",
"@context": {
"description": "http://schema.org/description",
"identifier": "http://schema.org/identifier",
"name": "http://schema.org/name",
"image": "http://schema.org/image",
},
}
},
{
"Patient": {
"@id": "http://hl7.org/fhir/Patient",
"@context": [
"https://fhircat.org/fhir-r5/rdf-r5/contexts/patient.context.jsonld"
],
}
},
],
"id": "urn:bnid:_:c14n4",
"type": ["MedicalPass", "VerifiableCredential"],
"credentialSubject": {
"id": "urn:bnid:_:c14n6",
"Patient": {
"@id": "urn:bnid:_:c14n7",
"@type": "fhir:resource-types#Patient",
"address": {
"@id": "urn:bnid:_:c14n1",
"city": "Рума",
},
},
},
"issuanceDate": "2021-10-01T20:16:40+02:00",
"issuer": "did:key:test",
"proof": {
"type": "BbsBlsSignatureProof2020",
"nonce": "M9yQx0eKIAI3Zs0sLF1kQsO7/hV1ZKEnqX9f0V/SzwRMKEixa0tJgqbGwviMA04XoL0=",
"proofValue": "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",
"verificationMethod": "did:key:test",
"proofPurpose": "assertionMethod",
"created": "2021-10-01T18:16:41.072975+00:00",
},
}
TEST_CRED_WILDCARD = {
"@context": [
"https://www.w3.org/2018/credentials/v1",
"https://w3id.org/security/bbs/v1",
{
"LabReport": {
"@id": "https://www.vdel.com/LabReport",
"@context": {
"description": "http://schema.org/description",
"identifier": "http://schema.org/identifier",
"name": "http://schema.org/name",
"image": "http://schema.org/image",
},
}
},
{
"Specimen": {
"@id": "http://hl7.org/fhir/Specimen",
"@context": [
None,
"https://fhircat.org/fhir-r5/rdf-r5/contexts/specimen.context.jsonld",
],
}
},
{
"Observation": {
"@id": "http://hl7.org/fhir/Observation",
"@context": [
None,
"https://fhircat.org/fhir-r5/rdf-r5/contexts/observation.context.jsonld",
],
}
},
{
"Organization": {
"@id": "http://hl7.org/fhir/Organization",
"@context": [
None,
"https://fhircat.org/fhir-r5/rdf-r5/contexts/organization.context.jsonld",
],
}
},
{
"Practitioner": {
"@id": "http://hl7.org/fhir/Practitioner",
"@context": [
None,
"https://fhircat.org/fhir-r5/rdf-r5/contexts/practitioner.context.jsonld",
],
}
},
{
"DiagnosticReport": {
"@id": "http://hl7.org/fhir/DiagnosticReport",
"@context": [
None,
"https://fhircat.org/fhir-r5/rdf-r5/contexts/diagnosticreport.context.jsonld",
],
}
},
{
"PractitionerRole": {
"@id": "http://hl7.org/fhir/PractitionerRole",
"@context": [
None,
"https://fhircat.org/fhir-r5/rdf-r5/contexts/practitionerrole.context.jsonld",
],
}
},
],
"type": ["VerifiableCredential", "LabReport"],
"issuer": "did:key:zUC74FYQCzCbDpbVm9v1LVCc2RkxJY3XMdxV9UpsVaerTgEAAjpdWfE8WemccfdNhski3kHiXfLzPZW2wgsvSCkZFWV3zSNxQEqZoV8kVpwLtLzzpskRcskBB3M3DxaeBnDvK4H",
"issuanceDate": "2021-10-01T20:17:12+02:00",
"credentialSubject": {
"DiagnosticReport": {
"resourceType": "http://hl7.org/fhir/resource-types#DiagnosticReport",
"id": "ca66dd0a-6ad5-db5e-e053-5a18000aa066",
"language": "sr-Cyrl-RS",
"basedOn": [
{"reference": "ServiceRequest/ca66a8f6-1b0e-2881-e053-5a18000acec9"}
],
"status": "final",
"category": {
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v2-0074",
"code": "LAB",
}
]
},
"code": {
"coding": [
{
"system": "http://loinc.org",
"code": "11502-2",
"display": "Laboratory report",
}
]
},
"subject": {"reference": "Patient/ca66572a-0a1b-0d53-e053-5a18000ad0b7"},
"effectiveDateTime": "2021-08-25T19:47:00EUROPE/BELGRADE",
"issued": "2021-08-25T19:47:00EUROPE/BELGRADE",
"performer": [
{"reference": "PractitionerRole/ca6632d5-a447-6306-e053-5a18000a3953"}
],
"specimen": [
{"reference": "Specimen/ca666dfb-5a85-614a-e053-5a18000af20b"}
],
"result": [
{"reference": "Observation/ca708651-e8eb-3513-e053-5a18000ae79b"},
{"reference": "Observation/ca708651-e8ec-3513-e053-5a18000ae79b"},
{"reference": "Observation/ca708651-e8ed-3513-e053-5a18000ae79b"},
{"reference": "Observation/ca708651-e8e9-3513-e053-5a18000ae79b"},
{"reference": "Observation/ca708651-e8ea-3513-e053-5a18000ae79b"},
{"reference": "Observation/ca708651-e8e7-3513-e053-5a18000ae79b"},
{"reference": "Observation/ca708651-e8e8-3513-e053-5a18000ae79b"},
],
},
"Specimen": {
"resourceType": "http://hl7.org/fhir/resource-types#Specimen",
"id": "ca666dfb-5a85-614a-e053-5a18000af20b",
"language": "sr-Cyrl-RS",
"accessionIdentifier": {
"type": {
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v2-0203",
"code": "ACSN",
}
],
"text": "Broj protokola",
},
"value": "124",
},
"status": "available",
"type": {
"coding": [
{
"system": "http://snomed.info/sct",
"code": "122592007",
"display": "Acellular blood (serum or plasma) specimen",
}
]
},
"subject": {"reference": "Patient/ca66572a-0a1b-0d53-e053-5a18000ad0b7"},
"receivedTime": "2021-08-25T19:16:00EUROPE/BELGRADE",
},
"PractitionerRole": {
"resourceType": "http://hl7.org/fhir/resource-types#PractitionerRole",
"id": "ca6632d5-a447-6306-e053-5a18000a3953",
"active": True,
"practitioner": {
"reference": "Practitioner/ca5ed67e-5780-0136-e053-5a18000ae501"
},
"organization": {
"reference": "Organization/ca661f4d-ffc6-6111-e053-5a18000a3dea"
},
"code": [
{
"coding": [
{
"system": "http://hl7.org/fhir/uv/ips/ValueSet/healthcare-professional-roles-uv-ips",
"code": "2212",
"display": "Специјалисти лекари",
}
]
}
],
"specialty": [
{
"coding": [
{
"system": "http://snomed.info/sct",
"code": "408454008",
"display": "Клиничка микробиологија",
}
]
}
],
},
"Practitioner": {
"resourceType": "http://hl7.org/fhir/resource-types#Practitioner",
"id": "ca5ed67e-5780-0136-e053-5a18000ae501",
"language": "sr-Cyrl-RS",
"text": "специјалиста медицинске микробиологије",
"active": True,
"name": [{"family": "Банчевић", "given": ["Маја"], "suffix": ["др"]}],
"gender": "female",
"qualification": [{"code": {"coding": [{"code": "MD"}]}}],
},
"Observation": [
{
"resourceType": "http://hl7.org/fhir/resource-types#Observation",
"id": "ca708651-e8eb-3513-e053-5a18000ae79b",
"language": "sr-Cyrl-RS",
"text": {"status": "generated", "div": "Negativan"},
"status": "final",
"category": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/observation-category",
"code": "laboratory",
}
]
}
],
"code": {
"coding": [
{
"system": "http://hl7.org/fhir/uv/ips/ValueSet/results-laboratory-observations-uv-ips",
"code": "24115-8",
"display": "Epstein Barr virus (EBV) IgM",
},
{
"system": "http://snomed.info/sct",
"code": "40168006",
"display": "Epstein Barr virus (EBV)",
},
{
"system": "http://snomed.info/sct",
"code": "74889000",
"display": "IgM",
},
]
},
"subject": {
"reference": "Patient/ca66572a-0a1b-0d53-e053-5a18000ad0b7"
},
"effectiveDateTime": "2021-08-26T07:09:00EUROPE/BELGRADE",
"method": {
"coding": [
{
"system": "http://hl7.org/fhir/ValueSet/observation-methods",
"code": "76978006",
"display": "ELISA",
}
]
},
"valueCodeableConcept": {
"coding": [
{
"system": "http://snomed.info/sct",
"code": "2667000",
"display": "Odsutno",
}
]
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "NEG",
"display": "Negativan",
}
]
}
],
},
{
"resourceType": "http://hl7.org/fhir/resource-types#Observation",
"id": "ca708651-e8e8-3513-e053-5a18000ae79b",
"language": "sr-Cyrl-RS",
"text": {"status": "generated", "div": "Pozitivan"},
"status": "final",
"category": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/observation-category",
"code": "laboratory",
}
]
}
],
"code": {
"coding": [
{
"system": "http://hl7.org/fhir/uv/ips/ValueSet/results-laboratory-observations-uv-ips",
"code": "35275-7",
"display": "Morbille virus IgG",
},
{
"system": "http://snomed.info/sct",
"code": "52584002",
"display": "Morbilli virus",
},
{
"system": "http://snomed.info/sct",
"code": "29246005",
"display": "IgG",
},
]
},
"subject": {
"reference": "Patient/ca66572a-0a1b-0d53-e053-5a18000ad0b7"
},
"effectiveDateTime": "2021-08-26T07:09:00EUROPE/BELGRADE",
"method": {
"coding": [
{
"system": "http://hl7.org/fhir/ValueSet/observation-methods",
"code": "76978006",
"display": "ELISA",
}
]
},
"valueCodeableConcept": {
"coding": [
{
"system": "http://snomed.info/sct",
"code": "52101004",
"display": "Prisutno",
}
]
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "POS",
"display": "Pozitivan",
}
]
}
],
},
{
"resourceType": "http://hl7.org/fhir/resource-types#Observation",
"id": "ca708651-e8e7-3513-e053-5a18000ae79b",
"language": "sr-Cyrl-RS",
"text": {"status": "generated", "div": "Negativan"},
"status": "final",
"category": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/observation-category",
"code": "laboratory",
}
]
}
],
"code": {
"coding": [
{
"system": "http://hl7.org/fhir/uv/ips/ValueSet/results-laboratory-observations-uv-ips",
"code": "35276-5",
"display": "Morbille virus IgM",
},
{
"system": "http://snomed.info/sct",
"code": "52584002",
"display": "Morbilli virus",
},
{
"system": "http://snomed.info/sct",
"code": "74889000",
"display": "IgM",
},
]
},
"subject": {
"reference": "Patient/ca66572a-0a1b-0d53-e053-5a18000ad0b7"
},
"effectiveDateTime": "2021-08-26T07:09:00EUROPE/BELGRADE",
"method": {
"coding": [
{
"system": "http://hl7.org/fhir/ValueSet/observation-methods",
"code": "76978006",
"display": "ELISA",
}
]
},
"valueCodeableConcept": {
"coding": [
{
"system": "http://snomed.info/sct",
"code": "2667000",
"display": "Odsutno",
}
]
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "NEG",
"display": "Negativan",
}
]
}
],
},
{
"resourceType": "http://hl7.org/fhir/resource-types#Observation",
"id": "ca708651-e8ea-3513-e053-5a18000ae79b",
"language": "sr-Cyrl-RS",
"text": {"status": "generated", "div": "Pozitivan"},
"status": "final",
"category": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/observation-category",
"code": "laboratory",
}
]
}
],
"code": {
"coding": [
{
"system": "http://hl7.org/fhir/uv/ips/ValueSet/results-laboratory-observations-uv-ips",
"code": "29660-8",
"display": "Humani Parvo virus B19 IgG",
},
{
"system": "http://snomed.info/sct",
"code": "63603005",
"display": "Humani Parvo virus B19",
},
{
"system": "http://snomed.info/sct",
"code": "29246005",
"display": "IgG",
},
]
},
"subject": {
"reference": "Patient/ca66572a-0a1b-0d53-e053-5a18000ad0b7"
},
"effectiveDateTime": "2021-08-26T07:09:00EUROPE/BELGRADE",
"method": {
"coding": [
{
"system": "http://hl7.org/fhir/ValueSet/observation-methods",
"code": "76978006",
"display": "ELISA",
}
]
},
"valueCodeableConcept": {
"coding": [
{
"system": "http://snomed.info/sct",
"code": "52101004",
"display": "Prisutno",
}
]
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "POS",
"display": "Pozitivan",
}
]
}
],
},
{
"resourceType": "http://hl7.org/fhir/resource-types#Observation",
"id": "ca708651-e8e9-3513-e053-5a18000ae79b",
"language": "sr-Cyrl-RS",
"text": {"status": "generated", "div": "Negativan"},
"status": "final",
"category": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/observation-category",
"code": "laboratory",
}
]
}
],
"code": {
"coding": [
{
"system": "http://hl7.org/fhir/uv/ips/ValueSet/results-laboratory-observations-uv-ips",
"code": "40658-7",
"display": "Humani Parvo virus B19 IgM",
},
{
"system": "http://snomed.info/sct",
"code": "63603005",
"display": "Humani Parvo virus B19",
},
{
"system": "http://snomed.info/sct",
"code": "74889000",
"display": "IgM",
},
]
},
"subject": {
"reference": "Patient/ca66572a-0a1b-0d53-e053-5a18000ad0b7"
},
"effectiveDateTime": "2021-08-26T07:09:00EUROPE/BELGRADE",
"method": {
"coding": [
{
"system": "http://hl7.org/fhir/ValueSet/observation-methods",
"code": "76978006",
"display": "ELISA",
}
]
},
"valueCodeableConcept": {
"coding": [
{
"system": "http://snomed.info/sct",
"code": "2667000",
"display": "Odsutno",
}
]
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "NEG",
"display": "Negativan",
}
]
}
],
},
{
"resourceType": "http://hl7.org/fhir/resource-types#Observation",
"id": "ca708651-e8ed-3513-e053-5a18000ae79b",
"language": "sr-Cyrl-RS",
"text": {"status": "generated", "div": "Negativan"},
"status": "final",
"category": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/observation-category",
"code": "laboratory",
}
]
}
],
"code": {
"coding": [
{
"system": "http://hl7.org/fhir/uv/ips/ValueSet/results-laboratory-observations-uv-ips",
"code": "40729-6",
"display": "Herpes Simplex virus (HSV) IgM",
},
{
"system": "http://snomed.info/sct",
"code": "19965007",
"display": "Herpes Simplex virus (HSV)",
},
{
"system": "http://snomed.info/sct",
"code": "74889000",
"display": "IgM",
},
]
},
"subject": {
"reference": "Patient/ca66572a-0a1b-0d53-e053-5a18000ad0b7"
},
"effectiveDateTime": "2021-08-26T07:09:00EUROPE/BELGRADE",
"method": {
"coding": [
{
"system": "http://hl7.org/fhir/ValueSet/observation-methods",
"code": "76978006",
"display": "ELISA",
}
]
},
"valueCodeableConcept": {
"coding": [
{
"system": "http://snomed.info/sct",
"code": "2667000",
"display": "Odsutno",
}
]
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "NEG",
"display": "Negativan",
}
]
}
],
},
{
"resourceType": "http://hl7.org/fhir/resource-types#Observation",
"id": "ca708651-e8ec-3513-e053-5a18000ae79b",
"language": "sr-Cyrl-RS",
"text": {"status": "generated", "div": "Pozitivan"},
"status": "final",
"category": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/observation-category",
"code": "laboratory",
}
]
}
],
"code": {
"coding": [
{
"system": "http://hl7.org/fhir/uv/ips/ValueSet/results-laboratory-observations-uv-ips",
"code": "24114-1",
"display": "Epstein Barr virus (EBV) IgG",
},
{
"system": "http://snomed.info/sct",
"code": "40168006",
"display": "Epstein Barr virus (EBV)",
},
{
"system": "http://snomed.info/sct",
"code": "29246005",
"display": "IgG",
},
]
},
"subject": {
"reference": "Patient/ca66572a-0a1b-0d53-e053-5a18000ad0b7"
},
"effectiveDateTime": "2021-08-26T07:09:00EUROPE/BELGRADE",
"method": {
"coding": [
{
"system": "http://hl7.org/fhir/ValueSet/observation-methods",
"code": "76978006",
"display": "ELISA",
}
]
},
"valueCodeableConcept": {
"coding": [
{
"system": "http://snomed.info/sct",
"code": "52101004",
"display": "Prisutno",
}
]
},
"interpretation": [
{
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation",
"code": "POS",
"display": "Pozitivan",
}
]
}
],
},
],
"Organization": [
{
"resourceType": "http://hl7.org/fhir/resource-types#Organization",
"id": "ca661f4d-ffc6-6111-e053-5a18000a3dea",
"language": "sr-Cyrl-RS",
"active": True,
"type": ["team"],
"name": "Национална лабораторија за полиомијелитис и ентеровирусе",
"partOf": {
"reference": "Organization/ca661f4d-ffc5-6111-e053-5a18000a3dea",
"type": "Organization",
},
"address": [{"type": "both", "country": "RS"}],
},
{
"resourceType": "http://hl7.org/fhir/resource-types#Organization",
"id": "ca661f4d-ffc5-6111-e053-5a18000a3dea",
"language": "sr-Cyrl-RS",
"active": True,
"type": ["team"],
"name": "Одсек за серодијагностику и молекуларну дијагностику",
"partOf": {
"reference": "Organization/ca661c1e-cab1-611d-e053-5a18000af938",
"type": "Organization",
},
"address": [{"type": "both", "country": "RS"}],
},
{
"resourceType": "http://hl7.org/fhir/resource-types#Organization",
"id": "ca661c1e-cab1-611d-e053-5a18000af938",
"language": "sr-Cyrl-RS",
"active": True,
"type": ["team"],
"name": "Служба за лабораторијску дијагностику",
"partOf": {
"reference": "Organization/ca65fdc3-3516-4830-e053-5a18000af96e",
"type": "Organization",
},
"address": [{"type": "both", "country": "RS"}],
},
{
"resourceType": "http://hl7.org/fhir/resource-types#Organization",
"id": "ca65fdc3-3516-4830-e053-5a18000af96e",
"language": "sr-Cyrl-RS",
"identifier": [
{
"use": "official",
"type": {
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v2-0203",
"code": "XX",
}
],
"text": "Matični broj",
},
"system": "http://www.apr.gov.rs/регистри/здравствене-установе",
"value": "17078712",
},
{
"use": "official",
"type": {
"coding": [
{
"system": "http://terminology.hl7.org/CodeSystem/v2-0203",
"code": "TAX",
}
],
"text": "PIB",
},
"system": "http://www.purs.gov.rs/pib.html",
"value": "101739057",
},
],
"active": True,
"type": ["prov"],
"name": 'ИНСТИТУТ ЗА ВИРУСОЛОГИЈУ, ВАКЦИНЕ И СЕРУМЕ "ТОРЛАК"',
"telecom": [
{"system": "email", "value": "office@torlak.rs", "rank": 1},
{"system": "phone", "value": "+381113953700", "rank": 3},
],
"address": [
{
"type": "both",
"line": ["Војводе Степе 458"],
"city": "Београд",
"country": "RS",
}
],
},
],
},
"name": "VDEL Lab Report",
}
def get_test_data():
vc_record_list = []
for cred in CRED_LIST:
vc_record_list.append(
create_vcrecord(
cred,
[
"https://www.w3.org/2018/credentials#VerifiableCredential",
"https://w3id.org/citizenship#PermanentResidentCard",
],
)
)
pd_json_list = [
(pres_exch_multiple_srs_not_met, 0),
(pres_exch_multiple_srs_met_one_of_filter_invalid, 0),
(pres_exch_multiple_srs_met_one_of_valid, 4),
(pres_exch_datetime_minimum_met, 6),
(pres_exch_datetime_maximum_met, 6),
(pres_exch_nested_srs_a, 4),
(pres_exch_nested_srs_b, 5),
(pres_exch_nested_srs_c, 2),
]
pd_list = []
for pd in pd_json_list:
pd_list.append(
(
PresentationDefinition.deserialize(json.loads(pd[0])),
pd[1],
)
)
return (vc_record_list, pd_list)
| 38.211632 | 1,437 | 0.465776 | 5,852 | 94,612 | 7.486329 | 0.124231 | 0.013559 | 0.018078 | 0.016617 | 0.797489 | 0.773157 | 0.762588 | 0.75307 | 0.740493 | 0.733212 | 0 | 0.104182 | 0.398692 | 94,612 | 2,475 | 1,438 | 38.227071 | 0.665887 | 0.003287 | 0 | 0.5986 | 0 | 0.007822 | 0.565691 | 0.17894 | 0 | 1 | 0 | 0 | 0.008234 | 1 | 0.000823 | false | 0.004529 | 0.002058 | 0 | 0.003705 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
436ecb8f867b0ff513f9b14a4fea77db468d2d00 | 166 | py | Python | tests/parse/test_parse_ped.py | northwestwitch/mutacc | 1999bb9d75a78a543d2cec4df601387c89827a85 | [
"MIT"
] | 1 | 2021-12-16T19:29:23.000Z | 2021-12-16T19:29:23.000Z | tests/parse/test_parse_ped.py | northwestwitch/mutacc | 1999bb9d75a78a543d2cec4df601387c89827a85 | [
"MIT"
] | 59 | 2018-11-27T16:19:28.000Z | 2021-12-01T16:42:31.000Z | tests/parse/test_parse_ped.py | adrosenbaum/mutacc | 1999bb9d75a78a543d2cec4df601387c89827a85 | [
"MIT"
] | 1 | 2021-12-01T07:15:10.000Z | 2021-12-01T07:15:10.000Z | import pytest
from mutacc.parse.parse_ped import parse_ped
def test_parse_ped(ped_path):
family = parse_ped(ped_path)
assert isinstance(family, dict)
| 16.6 | 44 | 0.753012 | 25 | 166 | 4.72 | 0.52 | 0.271186 | 0.186441 | 0.254237 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.180723 | 166 | 9 | 45 | 18.444444 | 0.867647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
437f6ebde49e2cea32dd662c367323d082aecbbb | 110,581 | py | Python | backend/theGame_db.py | slamon34/Real_Engine | 2c1f66508a8aab89ef32e5633e33e561eb96748b | [
"MIT"
] | null | null | null | backend/theGame_db.py | slamon34/Real_Engine | 2c1f66508a8aab89ef32e5633e33e561eb96748b | [
"MIT"
] | 3 | 2018-06-02T01:36:51.000Z | 2019-03-27T03:24:29.000Z | backend/theGame_db.py | slamon34/Real_Engine | 2c1f66508a8aab89ef32e5633e33e561eb96748b | [
"MIT"
] | 1 | 2018-06-01T15:07:51.000Z | 2018-06-01T15:07:51.000Z | # Copyright (c) 2017 Ned Hoy <nedhoy@gmail.com>
#
# 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.
from flask_app import model
from flask_app import schema
from flask_app.data_access import Database
from flask_app.actions import nodes
from flask_app.actions.nodes import (
CompoundStatement,
IfElseStatement,
PrintStatement,
AssignmentStatement,
SetAttrStatement,
OutputStatement,
BinaryOp,
BooleanLiteral,
IntegerLiteral,
StringLiteral,
GetAttrExpression,
VariableNameExpression,
)
from flask_app.actions import unparser
def add_devices(db):
headset_model = model.DeviceModel(
name="headset model 1",
type=model.DeviceTypes.Headset,
part_name="Plantronics Voyager 5200",
description="headset description 1",
)
scanner_model = model.DeviceModel(
name="scanner model 1",
type=model.DeviceTypes.Scanner,
part_name="Scanner 5200",
description="scanner description 1",
)
device_models = [
headset_model,
scanner_model,
]
for device_model in device_models:
db.add_model(device_model)
scanner_device_1 = model.PhysicalDevice(
id="1",
model_id=scanner_model.id,
ip="10.0.0.1",
purpose="rfid reader",
)
scanner_device_2 = model.PhysicalDevice(
id="2",
model_id=scanner_model.id,
ip="10.0.0.2",
purpose="rfid reader",
)
emics_device = model.PhysicalDevice(
id="3",
model_id=headset_model.id,
ip="10.0.0.3",
purpose="emic text to speech",
)
devices = [
scanner_device_1,
scanner_device_2,
emics_device,
]
for device in devices:
db.add_device(device)
emics_output = model.DeviceOutput(
device_id=emics_device.id,
type=model.OutputTypes.Text2Speech,
name="emics",
description="output description 1",
)
outputs = [
emics_output
]
for output in outputs:
db.add_output(output)
rfid_input = model.DeviceInput(
device_id=scanner_device_1.id,
type=model.InputTypes.Rfid,
name="rfid",
description="input description 1",
)
inputs = [
rfid_input,
]
for input in inputs:
db.add_input(input)
speaker_virtual_output = model.VirtualOutput(
name="Speaker",
device_output=emics_output
)
db.add_virtual_output(speaker_virtual_output)
wizard_virtual_output = model.VirtualOutput(
name="Wizard",
device_output=emics_output
)
db.add_virtual_output(wizard_virtual_output)
central_virtual_output = model.VirtualOutput(
name="Central",
device_output=emics_output
)
db.add_virtual_output(central_virtual_output)
ship_virtual_output = model.VirtualOutput(
name="Ship",
device_output=emics_output
)
db.add_virtual_output(ship_virtual_output)
cathedral_virtual_output = model.VirtualOutput(
name="Cathedral",
device_output=emics_output
)
db.add_virtual_output(cathedral_virtual_output)
castle_virtual_output = model.VirtualOutput(
name="Castle",
device_output=emics_output
)
db.add_virtual_output(castle_virtual_output)
train_virtual_output = model.VirtualOutput(
name="Train",
device_output=emics_output
)
db.add_virtual_output(train_virtual_output)
return devices
def add_scenes(db):
scenes = [
model.Scene(name="Scene 0", description="description"),
model.Scene(name="Scene 1", description="description"),
model.Scene(name="Scene 2", description="description"),
]
for scene in scenes:
db.add_scene(scene)
return scenes
def add_entities(db):
player_entity = model.VirtualEntity(title="Player", description="player")
card_entity = model.VirtualEntity(title="Card", description="card")
greeting_tag_entity = model.VirtualEntity(title="GreetingTag", description="scan to hear pitch")
wand_entity = model.VirtualEntity(title="Wand", description="For casting spells")
trainer_wand_entity = model.VirtualEntity(title="TrainingWand", description="For finding cast points")
entities = [
player_entity,
card_entity,
greeting_tag_entity,
wand_entity,
trainer_wand_entity,
]
for entity in entities:
db.add_virtual_entity(entity)
attributes = {
player_entity: [
schema.Property("name", schema.String()),
schema.Property("counter", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("card", schema.Numeric(type=schema.NumericType.Integer)),
],
card_entity: [
schema.Property("value", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("name", schema.String()),
],
greeting_tag_entity: [
],
wand_entity: [
schema.Property("previousCast", schema.String()),
schema.Property("temp1", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("temp2", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("temp3", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("ill1", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("ill2", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("ill3", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("ench1", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("ench2", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("ench3", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("charged", schema.Numeric(type=schema.NumericType.Integer)),
],
trainer_wand_entity: [
schema.Property("castle", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("cathedral", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("train", schema.Numeric(type=schema.NumericType.Integer)),
schema.Property("ship", schema.Numeric(type=schema.NumericType.Integer)),
],
}
for entity, attributes in attributes.items():
for attribute in attributes:
db.add_virtual_entity_property(entity, attribute)
player1_instance = model.InstanceEntity(virtual_entity=player_entity, tag="RFID#player1")
db.add_instance_entity(player1_instance)
db.set_instance_entity_property(player1_instance, "name", "Player 1")
db.set_instance_entity_property(player1_instance, "counter", 0)
db.set_instance_entity_property(player1_instance, "card", -1)
player2_instance = model.InstanceEntity(virtual_entity=player_entity, tag="RFID#player2")
db.add_instance_entity(player2_instance)
db.set_instance_entity_property(player2_instance, "name", "Player 2")
db.set_instance_entity_property(player2_instance, "counter", 0)
db.set_instance_entity_property(player2_instance, "card", -1)
ROCK = 0
PAPER = 1
SCISSORS = 2
names = {
ROCK: "rock",
PAPER: "paper",
SCISSORS: "scissors",
}
# TODO: add the real RFID tags here!
rfid_tags = {
(ROCK, 1): "4C00B2E29A86",
(ROCK, 2): "82003C7375B8",
(PAPER, 1): "4C00B3F8C8CF",
(PAPER, 2): "82003C9D290A",
(SCISSORS, 1): "7C0019CBA10F",
(SCISSORS, 2): "7C0056A3B039",
}
for card_type in [ROCK, PAPER, SCISSORS]:
card_name = names[card_type]
for i in range(1, 3):
tag = rfid_tags[card_type, i]
card_instance = model.InstanceEntity(virtual_entity=card_entity, tag=tag)
db.add_instance_entity(card_instance)
db.set_instance_entity_property(card_instance, "value", card_type)
db.set_instance_entity_property(card_instance, "name", card_name)
greeting_tag_instance = model.InstanceEntity(virtual_entity=greeting_tag_entity, tag="RFID#greeting_tag") # TODO: add the real greeting tag ID!
db.add_instance_entity(greeting_tag_instance)
wands = [
"tag1",
"tag2",
"tag3",
"tag4",
"tag5",
"tag6",
"tag7",
"tag8",
"tag9",
"tag10",
"tag11",
"tag12",
]
for nfc in wands:
wand_instance = model.InstanceEntity(virtual_entity=wand_entity,tag=nfc)
db.add_instance_entity(wand_instance)
training_wands = [
"nfc1",
"nfc2",
"nfc3",
"nfc4",
"nfc5",
"nfc6",
"nfc7",
"nfc8",
"nfc9",
"nfc10",
"nfc11",
"nfc12",
]
for nfc in training_wands:
training_wand_instance = model.InstanceEntity(virtual_entity=trainer_wand_entity,tag=nfc)
db.add_instance_entity(training_wand_instance)
return entities
def add_actions(db):
speaker_virtual_output_id = 1 # FIXME: don't hardcode this
wand_cast_central_ast = CompoundStatement(statements=[
# if charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
# -> Wand is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp1")),
# if spell = 2, output sound and set spell 1
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell")),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio temp1.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp2")),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio temp2.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp3")),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio temp3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp3")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="il1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill1")),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio ill1.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ill2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill2")),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio ill2.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ill3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill3")),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio ill3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill3")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench1")),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio ench1.wav"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench2")),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio ench2.wav"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench3")),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio ench3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench3")),
]),
),
# Take away charge
SetAttrStatement(
obj="__INPUT__",
name="charged",
rvalue=IntegerLiteral(0),
),
]),
# -> Wand is empty
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is not charged")),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
wand_cast_ship_ast = CompoundStatement(statements=[
# if charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
# -> Wand is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp1")),
# if spell = 2, output sound and set spell 1
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell")),
OutputStatement(
output=4,
resource=StringLiteral("Playaudio temp1.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp2")),
OutputStatement(
output=4,
resource=StringLiteral("Playaudio temp2.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp3")),
OutputStatement(
output=4,
resource=StringLiteral("Playaudio temp3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp3")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="il1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill1")),
OutputStatement(
output=4,
resource=StringLiteral("Playaudio ill1.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ill2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill2")),
OutputStatement(
output=4,
resource=StringLiteral("Playaudio ill2.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ill3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill3")),
OutputStatement(
output=4,
resource=StringLiteral("Playaudio ill3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill3")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench1")),
OutputStatement(
output=4,
resource=StringLiteral("Playaudio ench1.wav"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench2")),
OutputStatement(
output=4,
resource=StringLiteral("Playaudio ench2.wav"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench3")),
OutputStatement(
output=4,
resource=StringLiteral("Playaudio ench3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench3")),
]),
),
# Take away charge
SetAttrStatement(
obj="__INPUT__",
name="charged",
rvalue=IntegerLiteral(0),
),
]),
# -> Wand is empty
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is not charged")),
OutputStatement(
output=4,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
wand_cast_castle_ast = CompoundStatement(statements=[
# if charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
# -> Wand is charged play spell
if_body=CompoundStatement(statements=[
# if spell = 2, output sound and set spell 1
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell")),
OutputStatement(
output=6,
resource=StringLiteral("Playaudio temp1.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp2")),
OutputStatement(
output=6,
resource=StringLiteral("Playaudio temp2.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp3")),
OutputStatement(
output=6,
resource=StringLiteral("Playaudio temp3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp3")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="il1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill1")),
OutputStatement(
output=6,
resource=StringLiteral("Playaudio ill1.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ill2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill2")),
OutputStatement(
output=6,
resource=StringLiteral("Playaudio ill2.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ill3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill3")),
OutputStatement(
output=6,
resource=StringLiteral("Playaudio ill3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill3")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench1")),
OutputStatement(
output=6,
resource=StringLiteral("Playaudio ench1.wav"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench2")),
OutputStatement(
output=6,
resource=StringLiteral("Playaudio ench2.wav"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench3")),
OutputStatement(
output=6,
resource=StringLiteral("Playaudio ench3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench3")),
]),
),
# Take away charge
SetAttrStatement(
obj="__INPUT__",
name="charged",
rvalue=IntegerLiteral(0),
),
]),
# -> Wand is empty
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is not charged")),
OutputStatement(
output=6,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
wand_cast_train_ast = CompoundStatement(statements=[
# if charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
# -> Wand is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp1")),
# if spell = 2, output sound and set spell 1
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell")),
OutputStatement(
output=7,
resource=StringLiteral("Playaudio temp1.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp2")),
OutputStatement(
output=7,
resource=StringLiteral("Playaudio temp2.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp3")),
OutputStatement(
output=7,
resource=StringLiteral("Playaudio temp3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp3")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="il1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill1")),
OutputStatement(
output=7,
resource=StringLiteral("Playaudio ill1.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ill2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill2")),
OutputStatement(
output=7,
resource=StringLiteral("Playaudio ill2.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ill3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill3")),
OutputStatement(
output=7,
resource=StringLiteral("Playaudio ill3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill3")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench1")),
OutputStatement(
output=7,
resource=StringLiteral("Playaudio ench1.wav"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench2")),
OutputStatement(
output=7,
resource=StringLiteral("Playaudio ench2.wav"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench3")),
OutputStatement(
output=7,
resource=StringLiteral("Playaudio ench3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench3")),
]),
),
# Take away charge
SetAttrStatement(
obj="__INPUT__",
name="charged",
rvalue=IntegerLiteral(0),
),
]),
# -> Wand is empty
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is not charged")),
OutputStatement(
output=7,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
wand_cast_cathedral_ast = CompoundStatement(statements=[
# if charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
# -> Wand is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp1")),
# if spell = 2, output sound and set spell 1
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell")),
OutputStatement(
output=5,
resource=StringLiteral("Playaudio temp1.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp2")),
OutputStatement(
output=5,
resource=StringLiteral("Playaudio temp2.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell temp3")),
OutputStatement(
output=5,
resource=StringLiteral("Playaudio temp3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="temp3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast temporal3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not temp3")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="il1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill1")),
OutputStatement(
output=5,
resource=StringLiteral("Playaudio ill1.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ill2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill2")),
OutputStatement(
output=5,
resource=StringLiteral("Playaudio ill2.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ill3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ill3")),
OutputStatement(
output=5,
resource=StringLiteral("Playaudio ill3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ill3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast illusion3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ill3")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench1")),
OutputStatement(
output=5,
resource=StringLiteral("Playaudio ench1.wav"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench1",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment1"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench1")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench2")),
OutputStatement(
output=5,
resource=StringLiteral("Playaudio ench2.wav"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench2",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment2"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench2")),
]),
),
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench3",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(2),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Casting Spell ench3")),
OutputStatement(
output=5,
resource=StringLiteral("Playaudio ench3.mp3"),
),
SetAttrStatement(
obj="__INPUT__",
name="ench3",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="previousCast",
rvalue=StringLiteral("Previously cast enchantment3"),
),
]),
# -> Not this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ench3")),
]),
),
# Take away charge
SetAttrStatement(
obj="__INPUT__",
name="charged",
rvalue=IntegerLiteral(0),
),
]),
# -> Wand is empty
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is not charged")),
OutputStatement(
output=5,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
charge_wand_temp1 = CompoundStatement(statements=[
# if not already charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(0),
),
# -> Wand is not charged
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Spell temp1")),
# output sound and set spell = 2
PrintStatement(StringLiteral("Charging Wand")),
OutputStatement(
output=2,
resource=GetAttrExpression(
obj="__INPUT__",
name="previousCast",
),
),
SetAttrStatement(
obj="__INPUT__",
name="temp1",
rvalue=IntegerLiteral(2),
),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio charging.mp3"),
),
]),
# -> Wand is already charged
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is already charged")),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
charge_wand_temp2 = CompoundStatement(statements=[
# if not already charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(0),
),
# -> Wand is not charged check predecessors
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Spell temp2")),
# output sound and set spell = 2
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Wand")),
OutputStatement(
output=2,
resource=GetAttrExpression(
obj="__INPUT__",
name="previousCast",
),
),
SetAttrStatement(
obj="__INPUT__",
name="temp2",
rvalue=IntegerLiteral(2),
),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio charging.mp3"),
),
]),
# -> Not ready for this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ready for this spell")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
]),
# -> Wand is already charged
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is already charged")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
charge_wand_temp3 = CompoundStatement(statements=[
# if not already charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(0),
),
# -> Wand is not charged check predecessors
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Spell temp3")),
# if spell = 2, output sound and set spell 1
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="temp2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Wand")),
OutputStatement(
output=2,
resource=GetAttrExpression(
obj="__INPUT__",
name="previousCast",
),
),
SetAttrStatement(
obj="__INPUT__",
name="temp3",
rvalue=IntegerLiteral(2),
),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio charging.mp3"),
),
]),
# -> Not ready for this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ready for this spell")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
]),
# -> Wand is already charged
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is already charged")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
charge_wand_ill1 = CompoundStatement(statements=[
# if not already charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(0),
),
# -> Wand is not charged
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Spell ill1")),
# output sound and set spell = 2
PrintStatement(StringLiteral("Charging Wand")),
OutputStatement(
output=2,
resource=GetAttrExpression(
obj="__INPUT__",
name="previousCast",
),
),
SetAttrStatement(
obj="__INPUT__",
name="ill1",
rvalue=IntegerLiteral(2),
),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio charging.mp3"),
),
]),
# -> Wand is already charged
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is already charged")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
charge_wand_ill2 = CompoundStatement(statements=[
# if not already charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(0),
),
# -> Wand is not charged check predecessors
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Spell ill2")),
# output sound and set spell = 2
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ill1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Wand")),
OutputStatement(
output=2,
resource=GetAttrExpression(
obj="__INPUT__",
name="previousCast",
),
),
SetAttrStatement(
obj="__INPUT__",
name="ill2",
rvalue=IntegerLiteral(2),
),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio charging.mp3"),
),
]),
# -> Not ready for this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ready for this spell")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
]),
# -> Wand is already charged
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is already charged")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
charge_wand_ill3 = CompoundStatement(statements=[
# if not already charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(0),
),
# -> Wand is not charged check predecessors
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Spell ill3")),
# if spell = 2, output sound and set spell 1
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ill2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Wand")),
OutputStatement(
output=2,
resource=GetAttrExpression(
obj="__INPUT__",
name="previousCast",
),
),
SetAttrStatement(
obj="__INPUT__",
name="ill3",
rvalue=IntegerLiteral(2),
),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio charging.mp3"),
),
]),
# -> Not ready for this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ready for this spell")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
]),
# -> Wand is already charged
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is already charged")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
charge_wand_ench1 = CompoundStatement(statements=[
# if not already charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(0),
),
# -> Wand is not charged
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Spell ench1")),
# output sound and set spell = 2
PrintStatement(StringLiteral("Charging Wand")),
OutputStatement(
output=2,
resource=GetAttrExpression(
obj="__INPUT__",
name="previousCast",
),
),
SetAttrStatement(
obj="__INPUT__",
name="ench1",
rvalue=IntegerLiteral(2),
),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio charging.mp3"),
),
]),
# -> Wand is already charged
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is already charged")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
charge_wand_ench2 = CompoundStatement(statements=[
# if not already charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(0),
),
# -> Wand is not charged check predecessors
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Spell ench2")),
# output sound and set spell = 2
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench1",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Wand")),
OutputStatement(
output=2,
resource=GetAttrExpression(
obj="__INPUT__",
name="previousCast",
),
),
SetAttrStatement(
obj="__INPUT__",
name="ench2",
rvalue=IntegerLiteral(2),
),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio charging.mp3"),
),
]),
# -> Not ready for this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ready for this spell")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
]),
# -> Wand is already charged
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is already charged")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
charge_wand_ench3 = CompoundStatement(statements=[
# if not already charged
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="charged",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(0),
),
# -> Wand is not charged check predecessors
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Spell ench3")),
# if spell = 2, output sound and set spell 1
IfElseStatement(
condition=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ench2",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
# -> Spell is charged play spell
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Charging Wand")),
OutputStatement(
output=2,
resource=GetAttrExpression(
obj="__INPUT__",
name="previousCast",
),
),
SetAttrStatement(
obj="__INPUT__",
name="ench3",
rvalue=IntegerLiteral(2),
),
OutputStatement(
output=3,
resource=StringLiteral("Playaudio charging.mp3"),
),
]),
# -> Not ready for this spell
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Not ready for this spell")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
]),
# -> Wand is already charged
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Wand is already charged")),
OutputStatement(
output=2,
resource=StringLiteral("Playaudio failed.wav"),
),
]),
),
])
found_castle = CompoundStatement(statements=[
SetAttrStatement(
obj="__INPUT__",
name="castle",
rvalue=IntegerLiteral(1),
),
OutputStatement(
output=6,
resource=StringLiteral("Playaudio found.mp3"),
),
])
found_ship = CompoundStatement(statements=[
SetAttrStatement(
obj="__INPUT__",
name="ship",
rvalue=IntegerLiteral(1),
),
OutputStatement(
output=4,
resource=StringLiteral("Playaudio found.mp3"),
),
])
found_cathedral = CompoundStatement(statements=[
SetAttrStatement(
obj="__INPUT__",
name="cathedral",
rvalue=IntegerLiteral(1),
),
OutputStatement(
output=5,
resource=StringLiteral("Playaudio found.mp3"),
),
])
found_train = CompoundStatement(statements=[
SetAttrStatement(
obj="__INPUT__",
name="train",
rvalue=IntegerLiteral(1),
),
OutputStatement(
output=7,
resource=StringLiteral("Playaudio found.mp3"),
),
])
found_central = CompoundStatement(statements=[
OutputStatement(
output=3,
resource=StringLiteral("Playaudio found.mp3"),
),
])
check_training_complete = CompoundStatement(statements=[
IfElseStatement(
# if all ley lines have been found, play training complete
condition=BinaryOp(
left=BinaryOp(
left=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="castle",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
operator=nodes.Operator.LOGICAL_AND,
right=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="ship",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
),
operator=nodes.Operator.LOGICAL_AND,
right=BinaryOp(
left=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="train",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
operator=nodes.Operator.LOGICAL_AND,
right=BinaryOp(
left=GetAttrExpression(
obj="__INPUT__",
name="cathedral",
),
operator=nodes.Operator.EQ,
right=IntegerLiteral(1),
),
),
),
if_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Training complete")),
OutputStatement(
output=2,
resource=StringLiteral("Training complete."),
),
]),
else_body=CompoundStatement(statements=[
PrintStatement(StringLiteral("Training has not been complete.")),
OutputStatement(
output=2,
resource=StringLiteral("Training has not been completed."),
),
]),
),
])
reset_training = CompoundStatement(statements=[
SetAttrStatement(
obj="__INPUT__",
name="train",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="castle",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="cathedral",
rvalue=IntegerLiteral(1),
),
SetAttrStatement(
obj="__INPUT__",
name="ship",
rvalue=IntegerLiteral(1),
),
])
wand_cast_central_str = unparser.to_json(wand_cast_central_ast)
wand_cast_ship_str = unparser.to_json(wand_cast_ship_ast)
wand_cast_cathedral_str = unparser.to_json(wand_cast_cathedral_ast)
wand_cast_castle_str = unparser.to_json(wand_cast_castle_ast)
wand_cast_train_str = unparser.to_json(wand_cast_train_ast)
charge_temp1_str = unparser.to_json(charge_wand_temp1)
charge_temp2_str = unparser.to_json(charge_wand_temp2)
charge_temp3_str = unparser.to_json(charge_wand_temp3)
charge_ill1_str = unparser.to_json(charge_wand_ill1)
charge_ill2_str = unparser.to_json(charge_wand_ill2)
charge_ill3_str = unparser.to_json(charge_wand_ill3)
charge_ench1_str = unparser.to_json(charge_wand_ench1)
charge_ench2_str = unparser.to_json(charge_wand_ench2)
charge_ench3_str = unparser.to_json(charge_wand_ench3)
found_ship_str = unparser.to_json(found_ship)
found_cathedral_str = unparser.to_json(found_cathedral)
found_train_str = unparser.to_json(found_train)
found_castle_str = unparser.to_json(found_castle)
found_central_str = unparser.to_json(found_central)
check_training_complete_str = unparser.to_json(check_training_complete)
reset_training_str = unparser.to_json(reset_training)
wand_entity = db.get_virtual_entity_by_name(name="Wand")
training_wand_entity = db.get_virtual_entity_by_name(name="TrainingWand")
actions = [
model.Action(name="Cast Spell - Central", ast=wand_cast_central_str, wants_entity=wand_entity),
model.Action(name="Cast Spell - Ship", ast=wand_cast_ship_str, wants_entity=wand_entity),
model.Action(name="Cast Spell - Cathedral", ast=wand_cast_cathedral_str, wants_entity=wand_entity),
model.Action(name="Cast Spell - Castle", ast=wand_cast_castle_str, wants_entity=wand_entity),
model.Action(name="Cast Spell - Train", ast=wand_cast_train_str, wants_entity=wand_entity),
model.Action(name="Charge temp1", ast=charge_temp1_str, wants_entity=wand_entity),
model.Action(name="Charge temp2", ast=charge_temp2_str, wants_entity=wand_entity),
model.Action(name="Charge temp3", ast=charge_temp3_str, wants_entity=wand_entity),
model.Action(name="Charge ill1", ast=charge_ill1_str, wants_entity=wand_entity),
model.Action(name="Charge ill2", ast=charge_ill2_str, wants_entity=wand_entity),
model.Action(name="Charge ill3", ast=charge_ill3_str, wants_entity=wand_entity),
model.Action(name="Charge ench1", ast=charge_ench1_str, wants_entity=wand_entity),
model.Action(name="Charge ench2", ast=charge_ench2_str, wants_entity=wand_entity),
model.Action(name="Charge ench3", ast=charge_ench3_str, wants_entity=wand_entity),
model.Action(name="Check Training", ast=check_training_complete_str, wants_entity=training_wand_entity),
model.Action(name="Found Ship", ast=found_ship_str, wants_entity=training_wand_entity),
model.Action(name="Found Castle", ast=found_castle_str, wants_entity=training_wand_entity),
model.Action(name="Found Train", ast=found_train_str, wants_entity=training_wand_entity),
model.Action(name="Found Cathedral", ast=found_cathedral_str, wants_entity=training_wand_entity),
model.Action(name="Found Central", ast=found_central_str, wants_entity=training_wand_entity),
model.Action(name="Reset Training", ast=reset_training_str, wants_entity=training_wand_entity),
]
for action in actions:
db.add_action(action)
return actions
def add_events(db, *, actions, devices, scenes):
events = [
model.Event(
name="Central Event",
scene_id=scenes[0].id,
type=model.EventTypes.scan,
device_id=devices[0].id,
),
model.Event(
name="Ship Event",
scene_id=scenes[0].id,
type=model.EventTypes.scan,
device_id=devices[1].id,
),
model.Event(
name="Cathedral Event",
scene_id=scenes[0].id,
type=model.EventTypes.scan,
device_id=devices[0].id,
),
model.Event(
name="Castle Event",
scene_id=scenes[0].id,
type=model.EventTypes.scan,
device_id=devices[1].id,
),
model.Event(
name="Train Event",
scene_id=scenes[0].id,
type=model.EventTypes.scan,
device_id=devices[0].id,
),
]
for event in events:
db.add_event(event)
event_actions_list = [
# Central action
model.EventActions(event_id=events[0].id, action_id=actions[0].id),
model.EventActions(event_id=events[0].id, action_id=actions[19].id),
# Ship action
model.EventActions(event_id=events[1].id, action_id=actions[1].id),
model.EventActions(event_id=events[1].id, action_id=actions[15].id),
# Cathedral action
model.EventActions(event_id=events[2].id, action_id=actions[2].id),
model.EventActions(event_id=events[2].id, action_id=actions[18].id),
# Castle action
model.EventActions(event_id=events[3].id, action_id=actions[3].id),
model.EventActions(event_id=events[3].id, action_id=actions[16].id),
# Train action
model.EventActions(event_id=events[4].id, action_id=actions[4].id),
model.EventActions(event_id=events[4].id, action_id=actions[17].id),
]
for event_actions in event_actions_list:
db.add_event_action(event_actions)
return events
if __name__ == '__main__':
db = Database()
db.wipe_database()
db.create_database()
devices = add_devices(db)
scenes = add_scenes(db)
entities = add_entities(db)
actions = add_actions(db)
events = add_events(db, actions=actions, devices=devices, scenes=scenes)
| 40.06558 | 147 | 0.420841 | 6,806 | 110,581 | 6.627388 | 0.049368 | 0.033698 | 0.050548 | 0.130692 | 0.880371 | 0.856117 | 0.826187 | 0.811311 | 0.77411 | 0.758502 | 0 | 0.015028 | 0.498729 | 110,581 | 2,759 | 148 | 40.080101 | 0.798705 | 0.049981 | 0 | 0.855797 | 0 | 0 | 0.086437 | 0 | 0 | 0 | 0 | 0.000362 | 0 | 1 | 0.002048 | false | 0 | 0.002458 | 0 | 0.006555 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
43b1ad3a74365ee525e4fa1d5f3c42f9eb2ef894 | 14,948 | py | Python | rpython/jit/metainterp/test/test_threaded_code.py | prg-titech/pypy | 05993f14770824e517c9dd58b762d67a27c2d5bf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | rpython/jit/metainterp/test/test_threaded_code.py | prg-titech/pypy | 05993f14770824e517c9dd58b762d67a27c2d5bf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | rpython/jit/metainterp/test/test_threaded_code.py | prg-titech/pypy | 05993f14770824e517c9dd58b762d67a27c2d5bf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | import math
import sys
import py
import pytest
import weakref
from rpython.rlib import rgc
from rpython.jit.codewriter.policy import StopAtXPolicy
from rpython.jit.metainterp import history
from rpython.jit.metainterp.test.support import LLJitMixin, noConst, get_stats
from rpython.jit.metainterp.warmspot import get_stats
from rpython.jit.metainterp.pyjitpl import MetaInterp
from rpython.rlib import rerased
from rpython.rlib.jit import (JitDriver, we_are_jitted, hint, dont_look_inside,
loop_invariant, elidable, promote, jit_debug, assert_green,
AssertGreenFailed, unroll_safe, current_trace_length, look_inside_iff,
isconstant, isvirtual, set_param, record_exact_class, not_in_trace)
from rpython.rlib.longlong2float import float2longlong, longlong2float
from rpython.rlib.rarithmetic import ovfcheck, is_valid_int, int_force_ge_zero
from rpython.rtyper.lltypesystem import lltype, rffi
from rpython.jit.tl.threadedcode.traverse_stack import TStack, t_push, t_empty, t_is_empty
from rpython.jit.tl.threadedcode.frame import Frame
def compile_threaded_code():
pass
class BasicTests:
@pytest.mark.skip(reason="currently the case that red variables are"
"number cannot work correctly")
def test_minilang_num_1(self):
@dont_look_inside
def lt(lhs, rhs):
if lhs < rhs:
return 1
else:
return 0
@dont_look_inside
def add(x, y):
return x + y
@dont_look_inside
def sub(x, y):
return x - y
@dont_look_inside
def is_true(x):
return x > 0
@dont_look_inside
def emit_jump(x, y, z):
return x
@dont_look_inside
def emit_ret(x, y):
return x
ADD = 0
SUB = 1
LT = 2
JUMP = 3
JUMP_IF = 4
EXIT = 5
NOP = -100
inst_set = {
0: "ADD",
1: "SUB",
2: "LT",
3: "JUMP",
4: "JUMP_IF",
5: "EXIT",
-100: "NOP"
}
def opcode_to_string(pc, bytecode, tstack):
op = bytecode[pc]
name = inst_set.get(op)
return "%s: %s, tstack top: %s" % (pc, name, tstack.pc)
myjitdriver = JitDriver(greens=['pc', 'bytecode', 'tstack'], reds=['x',],
get_printable_location=opcode_to_string,
threaded_code_gen=True)
def interp(x):
tstack = t_empty()
pc = 0
# bytecode = [NOP, JUMP_IF, 5, JUMP, 8, SUB, JUMP, 1, EXIT]
bytecode = [NOP, SUB, JUMP_IF, 1, EXIT]
while True:
myjitdriver.jit_merge_point(pc=pc, bytecode=bytecode, tstack=tstack, x=x)
op = bytecode[pc]
pc += 1
if op == ADD:
x = add(x, 1)
elif op == SUB:
x = sub(x, 1)
elif op == JUMP:
t = int(bytecode[pc])
if we_are_jitted():
if t_is_empty(tstack):
pc = t
else:
pc, tstack = tstack.t_pop()
pc = emit_jump(pc, t, None)
else:
if t < pc:
myjitdriver.can_enter_jit(pc=t, bytecode=bytecode, tstack=tstack, x=x)
pc = t
elif op == JUMP_IF:
t = int(bytecode[pc])
if is_true(x):
if we_are_jitted():
pc += 1
if not t < pc:
tstack = t_push(pc, tstack)
pc = emit_jump(pc, t, None)
else:
if t < pc:
myjitdriver.can_enter_jit(pc=t, bytecode=bytecode, tstack=tstack, x=x)
pc = t
else:
if we_are_jitted():
tstack = t_push(t, tstack)
pc += 1
elif op == EXIT:
if we_are_jitted():
if t_is_empty(tstack):
return x
else:
pc, tstack = tstack.t_pop()
pc = emit_ret(pc, x)
else:
return x
interp.oopspec = 'jit.not_in_trace()'
res = self.meta_interp(interp, [100])
def test_minilang_stack_1(self):
@dont_look_inside
def emit_jump(x, y, z):
return x
@dont_look_inside
def emit_ret(x, y):
return x
ADD = 10; SUB = 11; LT = 12; JUMP = 13; JUMP_IF = 14; EXIT = 15; DUP = 16; CONST = 17
NOP = -100
inst_set = {
10: "ADD",
11: "SUB",
12: "LT",
13: "JUMP",
14: "JUMP_IF",
15: "EXIT",
16: "DUP",
17: "CONST",
-100: "NOP"
}
def opcode_to_string(pc, entry_state, bytecode, tstack):
op = bytecode[pc]
name = inst_set.get(op)
return "%s: %s, tstack top: %s" % (pc, name, tstack.pc)
myjitdriver = JitDriver(greens=['pc', 'entry_state', 'bytecode', 'tstack'], reds=['frame'],
get_printable_location=opcode_to_string,
threaded_code_gen=True)
# ideal case
def compiled_test(frame):
while True:
frame.nop()
frame.dup()
if frame.is_true():
# true branch
frame.const_int(1)
frame.sub()
else:
return frame.pop()
saved_stack = [0] * Frame.size
saved_sp = 0
@not_in_trace
def save_state(frame):
saved_sp = frame.sp
for i in range(Frame.size):
saved_stack[i] = frame.stack[i]
@not_in_trace
def restore_state(frame):
for i in range(Frame.size):
frame.stack[i] = saved_stack[i]
frame.sp = saved_sp
def interp(x):
tstack = t_empty()
pc = 0
bytecode = [ NOP,
DUP,
CONST, 1,
LT,
JUMP_IF, 9,
JUMP, 14,
CONST, 1,
SUB,
JUMP, 1,
EXIT ]
frame = Frame(bytecode)
frame.push(x)
entry_state = pc, tstack
while True:
myjitdriver.jit_merge_point(pc=pc, entry_state=entry_state, bytecode=bytecode, tstack=tstack,
frame=frame)
op = bytecode[pc]
pc += 1
if op == CONST:
v = int(bytecode[pc])
frame.const_int(v)
pc += 1
elif op == DUP:
frame.dup()
elif op == ADD:
frame.add()
elif op == SUB:
frame.sub()
elif op == LT:
frame.lt()
elif op == JUMP:
t = int(bytecode[pc])
if we_are_jitted():
if t_is_empty(tstack):
pc = t
else:
pc, tstack = tstack.t_pop()
pc = emit_jump(pc, t, None)
else:
if t < pc:
entry_state = t, tstack
save_state(frame)
myjitdriver.can_enter_jit(pc=t, entry_state=entry_state, bytecode=bytecode, tstack=tstack,
frame=frame)
pc = t
elif op == JUMP_IF:
t = int(bytecode[pc])
if frame.is_true():
if we_are_jitted():
pc += 1
tstack = t_push(pc, tstack)
else:
if t < pc:
entry_state = t, tstack
save_state(frame)
myjitdriver.can_enter_jit(pc=t, entry_state=entry_state, bytecode=bytecode, tstack=tstack,
frame=frame)
pc = t
else:
if we_are_jitted():
tstack = t_push(t, tstack)
pc += 1
elif op == EXIT:
if we_are_jitted():
if t_is_empty(tstack):
v = frame.pop()
pc = emit_ret(pc, v)
pc, tstack = entry_state
restore_state(frame)
myjitdriver.can_enter_jit(pc=pc, entry_state=entry_state, bytecode=bytecode, tstack=tstack,
frame=frame)
else:
pc, tstack = tstack.t_pop()
v = frame.pop()
pc = emit_ret(pc, v)
else:
return frame.pop()
interp.oopspec = 'jit.not_in_trace()'
res = self.meta_interp(interp, [100])
def test_minilang_stack_2(self):
@dont_look_inside
def emit_jump(x, y, z):
return x
@dont_look_inside
def emit_ret(x, y):
return x
ADD = 10; SUB = 11; LT = 12; JUMP = 13; JUMP_IF = 14; EXIT = 15
DUP = 16; CONST = 17; NOP = -100
inst_set = {
10: "ADD",
11: "SUB",
12: "LT",
13: "JUMP",
14: "JUMP_IF",
15: "EXIT",
16: "DUP",
17: "CONST",
-100: "NOP"
}
def opcode_to_string(pc, entry_state, bytecode, tstack):
op = bytecode[pc]
name = inst_set.get(op)
return "%s: %s, tstack top: %s" % (pc, name, tstack.pc)
myjitdriver = JitDriver(greens=['pc', 'entry_state', 'bytecode', 'tstack'], reds=['frame'],
get_printable_location=opcode_to_string,
threaded_code_gen=True)
saved_stack = [0] * Frame.size
saved_sp = 0
@not_in_trace
def save_state(frame):
saved_sp = frame.sp
for i in range(Frame.size):
saved_stack[i] = frame.stack[i]
@not_in_trace
def restore_state(frame):
for i in range(Frame.size):
frame.stack[i] = saved_stack[i]
frame.sp = saved_sp
def interp(x):
tstack = t_empty()
pc = 0
bytecode = [ DUP,
CONST, 0,
LT,
JUMP_IF, 8,
JUMP, 13,
CONST, 1,
SUB,
JUMP, 0,
CONST, 1000,
SUB,
EXIT ]
frame = Frame(bytecode)
frame.push(x)
entry_state = pc, tstack
while True:
myjitdriver.jit_merge_point(pc=pc, entry_state=entry_state, bytecode=bytecode, tstack=tstack,
frame=frame)
op = bytecode[pc]
pc += 1
if op == CONST:
v = int(bytecode[pc])
frame.const_int(v)
pc += 1
elif op == DUP:
frame.dup()
elif op == ADD:
frame.add()
elif op == SUB:
frame.sub()
elif op == LT:
frame.lt()
elif op == JUMP:
t = int(bytecode[pc])
if we_are_jitted():
if t_is_empty(tstack):
pc = t
else:
pc, tstack = tstack.t_pop()
pc = emit_jump(pc, t, None)
else:
if t < pc:
entry_state = t, tstack
save_state(frame)
myjitdriver.can_enter_jit(pc=t, entry_state=entry_state, bytecode=bytecode, tstack=tstack,
frame=frame)
pc = t
elif op == JUMP_IF:
t = int(bytecode[pc])
if frame.is_true():
if we_are_jitted():
pc += 1
tstack = t_push(pc, tstack)
else:
if t < pc:
entry_state = t, tstack
save_state(frame)
myjitdriver.can_enter_jit(pc=t, entry_state=entry_state, bytecode=bytecode, tstack=tstack,
frame=frame)
pc = t
else:
if we_are_jitted():
tstack = t_push(t, tstack)
pc += 1
elif op == EXIT:
if we_are_jitted():
if t_is_empty(tstack):
v = frame.pop()
pc = emit_ret(pc, v)
pc, tstack = entry_state
restore_state(frame)
myjitdriver.can_enter_jit(pc=pc, entry_state=entry_state, bytecode=bytecode, tstack=tstack,
frame=frame)
else:
pc, tstack = tstack.t_pop()
v = frame.pop()
pc = emit_ret(pc, v)
else:
return frame.pop()
interp.oopspec = 'jit.not_in_trace()'
res = self.meta_interp(interp, [100])
class TestLLtype(BasicTests, LLJitMixin):
pass
| 35.675418 | 122 | 0.403398 | 1,474 | 14,948 | 3.909769 | 0.122795 | 0.048586 | 0.024813 | 0.027069 | 0.762971 | 0.745792 | 0.722714 | 0.715079 | 0.7038 | 0.69443 | 0 | 0.021048 | 0.513714 | 14,948 | 418 | 123 | 35.760766 | 0.771771 | 0.005352 | 0 | 0.784574 | 0 | 0 | 0.024489 | 0 | 0 | 0 | 0 | 0 | 0.005319 | 1 | 0.066489 | false | 0.005319 | 0.047872 | 0.023936 | 0.170213 | 0.007979 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
43d1c59009fd5d32266c0e644482f0d9f2c97ec0 | 2,774 | py | Python | tests/test_utils.py | dexios1/cachesql | 33354c477b28dc43ec3ece75e0b92858f192b176 | [
"MIT"
] | 21 | 2021-01-06T05:25:00.000Z | 2021-11-29T10:55:33.000Z | tests/test_utils.py | dexios1/cachesql | 33354c477b28dc43ec3ece75e0b92858f192b176 | [
"MIT"
] | 3 | 2021-01-05T13:44:53.000Z | 2021-01-08T13:22:24.000Z | tests/test_utils.py | dexios1/cachesql | 33354c477b28dc43ec3ece75e0b92858f192b176 | [
"MIT"
] | 3 | 2021-01-06T05:33:34.000Z | 2021-03-12T11:01:36.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from cachesql import utils
class TestCache:
def test_normalize_query(self):
query1 = "select top 3 * from receipts"
query2 = "SELECT top 3 * FROM receipts"
assert utils.normalize_query(query1) == utils.normalize_query(query2)
query1 = """
SELECT TIN, COUNT(SdcReceiptSignature) AS ReceiptCount, SUM(TaxableAmount2) as TaxbleAmount
FROM Receipts
WHERE SdcDateTime BETWEEN '20180601' AND '20180609' AND ReceiptType='N' GROUP BY TIN
"""
query2 = """
SELECT
TIN,
COUNT(SdcReceiptSignature) AS ReceiptCount,
SUM(TaxableAmount2) as TaxbleAmount
FROM
Receipts
WHERE
SdcDateTime BETWEEN '20180601' AND '20180609'
AND
ReceiptType='N'
GROUP BY
TIN
"""
assert utils.normalize_query(query1) == utils.normalize_query(query2)
query1 = "select top 3 * from receipts"
query2 = "SELECT top 3 * FROM Receipts"
assert utils.normalize_query(query1) != utils.normalize_query(
query2
), "Identifier names (table names and columns) should not be normalized"
def test_normalize_query_with_comments(self):
query1 = "select top 3 * from receipts -- I have a comment"
query2 = "SELECT top 3 * FROM receipts"
assert utils.normalize_query(query1) == utils.normalize_query(query2)
query1 = """
SELECT TIN, COUNT(SdcReceiptSignature) AS ReceiptCount, SUM(TaxableAmount2) as TaxbleAmount
FROM Receipts
WHERE SdcDateTime BETWEEN '20180601' AND '20180609' AND ReceiptType='N' GROUP BY TIN
"""
query2 = """
SELECT
-- I have a comment
TIN,
COUNT(SdcReceiptSignature) AS ReceiptCount,
SUM(TaxableAmount2) as TaxbleAmount
FROM
Receipts
WHERE
SdcDateTime BETWEEN '20180601' AND '20180609'
AND
ReceiptType='N'
GROUP BY
TIN
"""
assert utils.normalize_query(query1) == utils.normalize_query(query2)
def test_normalize_query_with_tabs(self):
query1 = """
select top 1
tin,
Journal
from
Receipts
"""
query2 = """
select top 1
tin,
Journal
from
Receipts
"""
assert utils.normalize_query(query1) == utils.normalize_query(query2)
def test_normalize_query_with_big_query(self):
ids = tuple(range(40000))
query = f"select * from table where id in ({ids})"
assert utils.normalize_query(query) == query
| 28.895833 | 100 | 0.584715 | 283 | 2,774 | 5.632509 | 0.240283 | 0.14931 | 0.154956 | 0.109787 | 0.821205 | 0.801757 | 0.801757 | 0.74655 | 0.74655 | 0.74655 | 0 | 0.057484 | 0.335256 | 2,774 | 95 | 101 | 29.2 | 0.806941 | 0.015141 | 0 | 0.802632 | 0 | 0 | 0.59304 | 0.038095 | 0 | 0 | 0 | 0 | 0.092105 | 1 | 0.052632 | false | 0 | 0.013158 | 0 | 0.078947 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
43de9f05df11e6aece6cec2a53188a2ae9d475ff | 18,245 | py | Python | TestCase/ClinicScenario/test_ClinicScenario_part_002.py | cassie01/PumpLibrary | c2a4884a36f4c6c6552fa942143ae5d21c120b41 | [
"Apache-2.0"
] | null | null | null | TestCase/ClinicScenario/test_ClinicScenario_part_002.py | cassie01/PumpLibrary | c2a4884a36f4c6c6552fa942143ae5d21c120b41 | [
"Apache-2.0"
] | null | null | null | TestCase/ClinicScenario/test_ClinicScenario_part_002.py | cassie01/PumpLibrary | c2a4884a36f4c6c6552fa942143ae5d21c120b41 | [
"Apache-2.0"
] | null | null | null | # -*- coding:utf8 -*-
"""
Part 2 N/A
开启泵并等待自检完成。 LCD屏幕亮起，泵进入停止状态。
选择输注模式为基本模式。 设置成功。
手动灌注和加载管路。 执行排气操作，当排气量达到6.00mL时，排气完成。
打开药物库。 设置成功。
选择药物为NaCl。 设置成功。
设置速率为30mL/h，输液量为30mL。 设置成功。
按开始键开始输注。 泵处于运行状态。
输注完成。 泵端出现输注完成警报。
按停止键停止输注。 警报消除成功，泵处于停止状态。
设置速率为25mlL/ h，输液量为30mL。 设置成功。
按开始键开始输注。 泵处于运行状态。
输注完成。 屏幕出现输注完成警报。
按停止键停止输注。 警报消除成功，泵处于停止状态。
设置药物为红霉素。 设置成功。
设置速率为30mlL/ h，输液量为30mL。 设置成功。
按开始键开始输注。 泵处于运行状态。
输注完成。 屏幕出现输注完成警报。
按停止键停止输注。 警报消除成功，泵处于停止状态。
设置速率为25mlL/ h，输液量为30mL。 设置成功。
按开始键开始输注。 泵处于运行状态。
输注完成。 屏幕出现输注完成警报。
按停止键停止输注。 警报消除成功，泵处于停止状态。
"""
from TestCase.check_pump_status import *
class TestClinicScenario(unittest.TestCase):
def test_ClinicScenario_part_002(self):
keep_running = True
checkPumpStatus()
# 接通输液泵的电源并打开泵。
# 泵处于停止状态。
log.logger.info("This test is started!")
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s!" % system_status)
assert system_status == SystemStatus.EStopStatus
# 设置为基本模式。
# 设置成功。
lvp.set_infusion_mode('basic')
infusion_mode = lvp.get_infusion_mode()
log.logger.info("The current infusion mode is %s!" % infusion_mode)
assert infusion_mode == 'basic'
# 手动排出管路中的空气。
# 执行排气操作，当排气量达到6.00mL时，排气完成。
lvp.start_bolus()
lvp.start_prime()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s before priming!" % system_status)
assert system_status == SystemStatus.ERunStatus
time.sleep(6 / 1200 * 3600)
lvp.stop_prime()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after priming!" % system_status)
assert system_status == SystemStatus.EStopStatus
# 打开药物库。
# 设置成功。
lvp.set_drug_library_switch_status('On')
drug_library_switch = lvp.get_drug_library_switch_status()
assert drug_library_switch == 'On'
# 选择药物为红霉素。
# 设置成功。
# lvp.set_current_drug() # 泵端未实现
# lvp.get_current_drug() # 泵端未实现
# 调整速度为30mL/h，输液量为30mL。
# 设置成功。
lvp.set_infusion_parameter(30, 0, 30)
# 按开始键开始输注。
# 泵处于运行状态。
lvp.start_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after starting infusion!" % system_status)
assert system_status == SystemStatus.ERunStatus
alarm_handler_time1 = 0
mark_time = datetime.datetime.now()
while keep_running:
duration_time = (datetime.datetime.now() - mark_time).seconds
if duration_time - alarm_handler_time1 < 30 / 30 * 3600:
log.logger.info("The remain time is %s!" % (30 / 30 * 3600 - duration_time))
alarm_mark_time1 = datetime.datetime.now()
alarm_id = lvp.get_pump_alarm()
if type(alarm_id) == list():
pass
else:
continue
if 22 in alarm_id:
log.logger.info("The occurred alarm is %s!" % alarmMatrix()[22])
lvp.stop_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s!" % system_status)
assert system_status == SystemStatus.EStopStatus
lvp.start_bolus()
lvp.start_prime()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s before priming!" % system_status)
assert system_status == SystemStatus.ERunStatus
time.sleep(6 / 1200 * 3600)
lvp.stop_prime()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after priming!" % system_status)
assert system_status == SystemStatus.EStopStatus
alarm_id.clear()
lvp.start_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after starting infusion!" % system_status)
assert system_status == SystemStatus.ERunStatus
alarm_handler_time1 = (datetime.datetime.now() - alarm_mark_time1).seconds
else:
log.logger.info("Completing infusion!")
break
# 输注完成。
# 屏幕出现输注完成警报。
alarm_id = lvp.get_pump_alarm()
log.logger.info("The occurred alarm is %s!" % alarmMatrix()[alarm_id[0]])
assert 23 in alarm_id
alarm_id.clear()
# 按停止键。
# 警报消除成功，泵处于停止状态。
lvp.stop_infusion()
alarm_id = lvp.get_pump_alarm()
assert 23 not in alarm_id
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after completing infusion!" % system_status)
assert system_status == SystemStatus.EStopStatus
# 更换药物。
# 设置成功。
# lvp.set_current_drug() # 泵端未实现
# lvp.get_current_drug() # 泵端未实现
# 将速率降低到25mL/ h，输液量为30mL。
# 设置成功。
lvp.set_infusion_parameter(25, 0, 30)
# 按开始键开始输注。
# 泵处于运行状态。
lvp.start_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after starting infusion!" % system_status)
assert system_status == SystemStatus.ERunStatus
alarm_handler_time2 = 0
mark_time = datetime.datetime.now()
while keep_running:
duration_time = (datetime.datetime.now() - mark_time).seconds
if duration_time - alarm_handler_time2 < 30 / 25 * 3600:
log.logger.info("The remain time is %s!" % (30 / 25 * 3600 - duration_time))
alarm_mark_time2 = datetime.datetime.now()
alarm_id = lvp.get_pump_alarm()
if type(alarm_id) == list():
pass
else:
continue
if 22 in alarm_id:
log.logger.info("The occurred alarm is %s!" % alarmMatrix()[22])
lvp.stop_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s!" % system_status)
assert system_status == SystemStatus.EStopStatus
lvp.start_bolus()
lvp.start_prime()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s before priming!" % system_status)
assert system_status == SystemStatus.ERunStatus
time.sleep(6 / 1200 * 3600)
lvp.stop_prime()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after priming!" % system_status)
assert system_status == SystemStatus.EStopStatus
alarm_id.clear()
lvp.start_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after starting infusion!" % system_status)
assert system_status == SystemStatus.ERunStatus
alarm_handler_time2 = (datetime.datetime.now() - alarm_mark_time2).seconds
else:
log.logger.info("Completing infusion!")
break
# 输注完成。
# 屏幕出现输注完成警报。
alarm_id = lvp.get_pump_alarm()
log.logger.info("The occurred alarm is %s!" % alarmMatrix()[alarm_id[0]])
assert 23 in alarm_id
alarm_id.clear()
# 按停止键。
# 警报消除成功，泵处于停止状态。
lvp.stop_infusion()
alarm_id = lvp.get_pump_alarm()
assert 23 not in alarm_id
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after completing infusion!" % system_status)
assert system_status == SystemStatus.EStopStatus
# 在5:00 pm，改变药物为红霉素。
# 设置成功。
# lvp.set_current_drug() # 泵端未实现
# lvp.get_current_drug() # 泵端未实现
# 调整速率为30mL/ h。
# 设置成功。
lvp.set_infusion_parameter(30, 0, 30)
# 按开始键开始输注。
# 泵处于运行状态。
lvp.start_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after starting infusion!" % system_status)
assert system_status == SystemStatus.ERunStatus
alarm_handler_time3 = 0
mark_time = datetime.datetime.now()
while keep_running:
duration_time = (datetime.datetime.now() - mark_time).seconds
if duration_time - alarm_handler_time3 < 30 / 30 * 3600:
log.logger.info("The remain time is %s!" % (30 / 30 * 3600 - duration_time))
alarm_mark_time3 = datetime.datetime.now()
alarm_id = lvp.get_pump_alarm()
if type(alarm_id) == list():
pass
else:
continue
if 22 in alarm_id:
log.logger.info("The occurred alarm is %s!" % alarmMatrix()[22])
lvp.stop_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s!" % system_status)
assert system_status == SystemStatus.EStopStatus
lvp.start_bolus()
lvp.start_prime()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s before priming!" % system_status)
assert system_status == SystemStatus.ERunStatus
time.sleep(6 / 1200 * 3600)
lvp.stop_prime()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after priming!" % system_status)
assert system_status == SystemStatus.EStopStatus
alarm_id.clear()
lvp.start_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after starting infusion!" % system_status)
assert system_status == SystemStatus.ERunStatus
alarm_handler_time3 = (datetime.datetime.now() - alarm_mark_time3).seconds
else:
log.logger.info("Completing infusion!")
break
# 输注完成。
# 屏幕出现输注完成警报。
alarm_id = lvp.get_pump_alarm()
log.logger.info("The occurred alarm is %s!" % alarmMatrix()[alarm_id[0]])
assert 23 in alarm_id
alarm_id.clear()
# 按停止键。
# 警报消除成功，泵处于停止状态。
lvp.stop_infusion()
alarm_id = lvp.get_pump_alarm()
assert 23 not in alarm_id
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after completing infusion!" % system_status)
assert system_status == SystemStatus.EStopStatus
# 在6:00 pm，调整药物。
# 设置成功。
# lvp.set_current_drug() # 泵端未实现
# lvp.get_current_drug() # 泵端未实现
# 调整速率为25mL/ h。
# 设置成功。
lvp.set_infusion_parameter(25, 0, 30)
# 按开始键开始输注。
# 泵处于运行状态。
lvp.start_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after starting infusion!" % system_status)
assert system_status == SystemStatus.ERunStatus
alarm_handler_time4 = 0
mark_time = datetime.datetime.now()
while keep_running:
duration_time = (datetime.datetime.now() - mark_time).seconds
if duration_time - alarm_handler_time4 < 30 / 25 * 3600:
log.logger.info("The remain time is %s!" % (30 / 25 * 3600 - duration_time))
alarm_mark_time4 = datetime.datetime.now()
alarm_id = lvp.get_pump_alarm()
if type(alarm_id) == list():
pass
else:
continue
if 22 in alarm_id:
log.logger.info("The occurred alarm is %s!" % alarmMatrix()[22])
lvp.stop_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s!" % system_status)
assert system_status == SystemStatus.EStopStatus
lvp.start_bolus()
lvp.start_prime()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s before priming!" % system_status)
assert system_status == SystemStatus.ERunStatus
time.sleep(6 / 1200 * 3600)
lvp.stop_prime()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after priming!" % system_status)
assert system_status == SystemStatus.EStopStatus
alarm_id.clear()
lvp.start_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after starting infusion!" % system_status)
assert system_status == SystemStatus.ERunStatus
alarm_handler_time4 = (datetime.datetime.now() - alarm_mark_time4).seconds
else:
log.logger.info("Completing infusion!")
break
# 输注完成。
# 屏幕出现输注完成警报。
alarm_id = lvp.get_pump_alarm()
log.logger.info("The occurred alarm is %s!" % alarmMatrix()[alarm_id[0]])
assert 23 in alarm_id
alarm_id.clear()
# 按停止键。
# 警报消除成功，泵处于停止状态。
lvp.stop_infusion()
alarm_id = lvp.get_pump_alarm()
assert 23 not in alarm_id
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after completing infusion!" % system_status)
assert system_status == SystemStatus.EStopStatus
# 调整药物。
# 设置成功。
# lvp.set_current_drug() # 泵端未实现
# lvp.get_current_drug() # 泵端未实现
# 调整速率为30mlL/ h。
# 设置成功。
lvp.set_infusion_parameter(30, 0, 30)
# 打开夜间模式。
# 设置成功。
# if time.localtime()[3] >= 19 and time.localtime()[4] >= 0:
lvp.set_night_mode_switch_status("On")
assert lvp.get_night_mode_switch_status() == "On"
# 设置夜间模式时间段为19：00至6：00 。
# 设置成功。
lvp.set_night_mode_period(19, 0, 6, 0)
assert lvp.get_night_mode_period() == (19, 0, 6, 0)
# 将阻塞水平提高到4级。
# 设置成功。
lvp.set_occlusion_level(4)
assert lvp.get_occlusion_level() == 4
# 静音按键音。
# 设置成功。
lvp.set_touch_tone_switch_status("Off")
assert lvp.get_touch_tone_switch_status() == "Off"
# 按开始键开始输液。
# 泵处于运行状态。
lvp.start_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after starting infusion!" % system_status)
assert system_status == SystemStatus.ERunStatus
alarm_handler_time5 = 0
mark_time = datetime.datetime.now()
while keep_running:
duration_time = (datetime.datetime.now() - mark_time).seconds
if duration_time - alarm_handler_time5 < 30 / 30 * 3600:
log.logger.info("The remain time is %s!" % (30 / 30 * 3600 - duration_time))
alarm_mark_time5 = datetime.datetime.now()
alarm_id = lvp.get_pump_alarm()
if type(alarm_id) == list():
pass
else:
continue
if 22 in alarm_id:
log.logger.info("The occurred alarm is %s!" % alarmMatrix()[22])
lvp.stop_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s!" % system_status)
assert system_status == SystemStatus.EStopStatus
lvp.start_bolus()
lvp.start_prime()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s before priming!" % system_status)
assert system_status == SystemStatus.ERunStatus
time.sleep(6 / 1200 * 3600)
lvp.stop_prime()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after priming!" % system_status)
assert system_status == SystemStatus.EStopStatus
alarm_id.clear()
lvp.start_infusion()
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after starting infusion!" % system_status)
assert system_status == SystemStatus.ERunStatus
alarm_handler_time5 = (datetime.datetime.now() - alarm_mark_time5).seconds
else:
log.logger.info("Completing infusion!")
break
# 输注完成。
# 屏幕出现输注完成警报。
alarm_id = lvp.get_pump_alarm()
log.logger.info("The occurred alarm is %s!" % alarmMatrix()[alarm_id[0]])
assert 23 in alarm_id
alarm_id.clear()
# 按停止键。
# 警报消除成功，泵处于停止状态。
lvp.stop_infusion()
alarm_id = lvp.get_pump_alarm()
assert 23 not in alarm_id
system_status = lvp.get_system_status()
log.logger.info("The current system status is %s after completing infusion!" % system_status)
assert system_status == SystemStatus.EStopStatus
| 45.272953 | 111 | 0.572869 | 1,998 | 18,245 | 5.009009 | 0.078579 | 0.197842 | 0.071443 | 0.078337 | 0.910472 | 0.879896 | 0.876599 | 0.870803 | 0.870803 | 0.867406 | 0 | 0.025279 | 0.336531 | 18,245 | 402 | 112 | 45.385572 | 0.801487 | 0.090052 | 0 | 0.860544 | 0 | 0 | 0.12882 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.003401 | false | 0.017007 | 0.003401 | 0 | 0.010204 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
601726d0fc700f3f1b0a68341961b2428d55132d | 503,401 | py | Python | test/unit/test_discovery_v1.py | timgates42/python-sdk | 8a6647636266f987816eb1d747782c07c3cfcba3 | [
"Apache-2.0"
] | 1 | 2021-06-11T03:12:15.000Z | 2021-06-11T03:12:15.000Z | test/unit/test_discovery_v1.py | timgates42/python-sdk | 8a6647636266f987816eb1d747782c07c3cfcba3 | [
"Apache-2.0"
] | null | null | null | test/unit/test_discovery_v1.py | timgates42/python-sdk | 8a6647636266f987816eb1d747782c07c3cfcba3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# (C) Copyright IBM Corp. 2016, 2020.
#
# 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.
"""
Unit Tests for DiscoveryV1
"""
from datetime import datetime, timezone
from ibm_cloud_sdk_core.authenticators.no_auth_authenticator import NoAuthAuthenticator
import inspect
import io
import json
import pytest
import re
import requests
import responses
import tempfile
import urllib
from ibm_watson.discovery_v1 import *
version = 'testString'
service = DiscoveryV1(
authenticator=NoAuthAuthenticator(),
version=version
)
base_url = 'https://api.us-south.discovery.watson.cloud.ibm.com'
service.set_service_url(base_url)
##############################################################################
# Start of Service: Environments
##############################################################################
# region
class TestCreateEnvironment():
"""
Test Class for create_environment
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_create_environment_all_params(self):
"""
create_environment()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments')
mock_response = '{"environment_id": "environment_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "read_only": false, "size": "LT", "requested_size": "requested_size", "index_capacity": {"documents": {"available": 9, "maximum_allowed": 15}, "disk_usage": {"used_bytes": 10, "maximum_allowed_bytes": 21}, "collections": {"available": 9, "maximum_allowed": 15}}, "search_status": {"scope": "scope", "status": "NO_DATA", "status_description": "status_description", "last_trained": "2019-01-01"}}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=201)
# Set up parameter values
name = 'testString'
description = 'testString'
size = 'LT'
# Invoke method
response = service.create_environment(
name,
description=description,
size=size,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 201
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['name'] == 'testString'
assert req_body['description'] == 'testString'
assert req_body['size'] == 'LT'
@responses.activate
def test_create_environment_value_error(self):
"""
test_create_environment_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments')
mock_response = '{"environment_id": "environment_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "read_only": false, "size": "LT", "requested_size": "requested_size", "index_capacity": {"documents": {"available": 9, "maximum_allowed": 15}, "disk_usage": {"used_bytes": 10, "maximum_allowed_bytes": 21}, "collections": {"available": 9, "maximum_allowed": 15}}, "search_status": {"scope": "scope", "status": "NO_DATA", "status_description": "status_description", "last_trained": "2019-01-01"}}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=201)
# Set up parameter values
name = 'testString'
description = 'testString'
size = 'LT'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"name": name,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.create_environment(**req_copy)
class TestListEnvironments():
"""
Test Class for list_environments
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_list_environments_all_params(self):
"""
list_environments()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments')
mock_response = '{"environments": [{"environment_id": "environment_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "read_only": false, "size": "LT", "requested_size": "requested_size", "index_capacity": {"documents": {"available": 9, "maximum_allowed": 15}, "disk_usage": {"used_bytes": 10, "maximum_allowed_bytes": 21}, "collections": {"available": 9, "maximum_allowed": 15}}, "search_status": {"scope": "scope", "status": "NO_DATA", "status_description": "status_description", "last_trained": "2019-01-01"}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
name = 'testString'
# Invoke method
response = service.list_environments(
name=name,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'name={}'.format(name) in query_string
@responses.activate
def test_list_environments_required_params(self):
"""
test_list_environments_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments')
mock_response = '{"environments": [{"environment_id": "environment_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "read_only": false, "size": "LT", "requested_size": "requested_size", "index_capacity": {"documents": {"available": 9, "maximum_allowed": 15}, "disk_usage": {"used_bytes": 10, "maximum_allowed_bytes": 21}, "collections": {"available": 9, "maximum_allowed": 15}}, "search_status": {"scope": "scope", "status": "NO_DATA", "status_description": "status_description", "last_trained": "2019-01-01"}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Invoke method
response = service.list_environments()
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_list_environments_value_error(self):
"""
test_list_environments_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments')
mock_response = '{"environments": [{"environment_id": "environment_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "read_only": false, "size": "LT", "requested_size": "requested_size", "index_capacity": {"documents": {"available": 9, "maximum_allowed": 15}, "disk_usage": {"used_bytes": 10, "maximum_allowed_bytes": 21}, "collections": {"available": 9, "maximum_allowed": 15}}, "search_status": {"scope": "scope", "status": "NO_DATA", "status_description": "status_description", "last_trained": "2019-01-01"}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Pass in all but one required param and check for a ValueError
req_param_dict = {
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.list_environments(**req_copy)
class TestGetEnvironment():
"""
Test Class for get_environment
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_environment_all_params(self):
"""
get_environment()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString')
mock_response = '{"environment_id": "environment_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "read_only": false, "size": "LT", "requested_size": "requested_size", "index_capacity": {"documents": {"available": 9, "maximum_allowed": 15}, "disk_usage": {"used_bytes": 10, "maximum_allowed_bytes": 21}, "collections": {"available": 9, "maximum_allowed": 15}}, "search_status": {"scope": "scope", "status": "NO_DATA", "status_description": "status_description", "last_trained": "2019-01-01"}}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Invoke method
response = service.get_environment(
environment_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_environment_value_error(self):
"""
test_get_environment_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString')
mock_response = '{"environment_id": "environment_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "read_only": false, "size": "LT", "requested_size": "requested_size", "index_capacity": {"documents": {"available": 9, "maximum_allowed": 15}, "disk_usage": {"used_bytes": 10, "maximum_allowed_bytes": 21}, "collections": {"available": 9, "maximum_allowed": 15}}, "search_status": {"scope": "scope", "status": "NO_DATA", "status_description": "status_description", "last_trained": "2019-01-01"}}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_environment(**req_copy)
class TestUpdateEnvironment():
"""
Test Class for update_environment
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_update_environment_all_params(self):
"""
update_environment()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString')
mock_response = '{"environment_id": "environment_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "read_only": false, "size": "LT", "requested_size": "requested_size", "index_capacity": {"documents": {"available": 9, "maximum_allowed": 15}, "disk_usage": {"used_bytes": 10, "maximum_allowed_bytes": 21}, "collections": {"available": 9, "maximum_allowed": 15}}, "search_status": {"scope": "scope", "status": "NO_DATA", "status_description": "status_description", "last_trained": "2019-01-01"}}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
name = 'testString'
description = 'testString'
size = 'S'
# Invoke method
response = service.update_environment(
environment_id,
name=name,
description=description,
size=size,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['name'] == 'testString'
assert req_body['description'] == 'testString'
assert req_body['size'] == 'S'
@responses.activate
def test_update_environment_value_error(self):
"""
test_update_environment_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString')
mock_response = '{"environment_id": "environment_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "read_only": false, "size": "LT", "requested_size": "requested_size", "index_capacity": {"documents": {"available": 9, "maximum_allowed": 15}, "disk_usage": {"used_bytes": 10, "maximum_allowed_bytes": 21}, "collections": {"available": 9, "maximum_allowed": 15}}, "search_status": {"scope": "scope", "status": "NO_DATA", "status_description": "status_description", "last_trained": "2019-01-01"}}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
name = 'testString'
description = 'testString'
size = 'S'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.update_environment(**req_copy)
class TestDeleteEnvironment():
"""
Test Class for delete_environment
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_environment_all_params(self):
"""
delete_environment()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString')
mock_response = '{"environment_id": "environment_id", "status": "deleted"}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Invoke method
response = service.delete_environment(
environment_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_delete_environment_value_error(self):
"""
test_delete_environment_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString')
mock_response = '{"environment_id": "environment_id", "status": "deleted"}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_environment(**req_copy)
class TestListFields():
"""
Test Class for list_fields
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_list_fields_all_params(self):
"""
list_fields()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/fields')
mock_response = '{"fields": [{"field": "field", "type": "nested"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_ids = ['testString']
# Invoke method
response = service.list_fields(
environment_id,
collection_ids,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'collection_ids={}'.format(','.join(collection_ids)) in query_string
@responses.activate
def test_list_fields_value_error(self):
"""
test_list_fields_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/fields')
mock_response = '{"fields": [{"field": "field", "type": "nested"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_ids = ['testString']
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_ids": collection_ids,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.list_fields(**req_copy)
# endregion
##############################################################################
# End of Service: Environments
##############################################################################
##############################################################################
# Start of Service: Configurations
##############################################################################
# region
class TestCreateConfiguration():
"""
Test Class for create_configuration
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_create_configuration_all_params(self):
"""
create_configuration()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/configurations')
mock_response = '{"configuration_id": "configuration_id", "name": "name", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "description": "description", "conversions": {"pdf": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}]}}, "word": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}], "styles": [{"level": 5, "names": ["names"]}]}}, "html": {"exclude_tags_completely": ["exclude_tags_completely"], "exclude_tags_keep_content": ["exclude_tags_keep_content"], "keep_content": {"xpaths": ["xpaths"]}, "exclude_content": {"xpaths": ["xpaths"]}, "keep_tag_attributes": ["keep_tag_attributes"], "exclude_tag_attributes": ["exclude_tag_attributes"]}, "segment": {"enabled": false, "selector_tags": ["selector_tags"], "annotated_fields": ["annotated_fields"]}, "json_normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "image_text_recognition": true}, "enrichments": [{"description": "description", "destination_field": "destination_field", "source_field": "source_field", "overwrite": false, "enrichment": "enrichment", "ignore_downstream_errors": true, "options": {"features": {"keywords": {"sentiment": false, "emotion": false, "limit": 5}, "entities": {"sentiment": false, "emotion": false, "limit": 5, "mentions": true, "mention_types": false, "sentence_locations": true, "model": "model"}, "sentiment": {"document": true, "targets": ["target"]}, "emotion": {"document": true, "targets": ["target"]}, "categories": {"mapKey": {"anyKey": "anyValue"}}, "semantic_roles": {"entities": true, "keywords": true, "limit": 5}, "relations": {"model": "model"}, "concepts": {"limit": 5}}, "language": "ar", "model": "model"}}], "normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "source": {"type": "box", "credential_id": "credential_id", "schedule": {"enabled": false, "time_zone": "time_zone", "frequency": "daily"}, "options": {"folders": [{"owner_user_id": "owner_user_id", "folder_id": "folder_id", "limit": 5}], "objects": [{"name": "name", "limit": 5}], "site_collections": [{"site_collection_path": "site_collection_path", "limit": 5}], "urls": [{"url": "url", "limit_to_starting_hosts": false, "crawl_speed": "gentle", "allow_untrusted_certificate": false, "maximum_hops": 12, "request_timeout": 15, "override_robots_txt": false, "blacklist": ["blacklist"]}], "buckets": [{"name": "name", "limit": 5}], "crawl_all_buckets": false}}}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=201)
# Construct a dict representation of a FontSetting model
font_setting_model = {}
font_setting_model['level'] = 38
font_setting_model['min_size'] = 38
font_setting_model['max_size'] = 38
font_setting_model['bold'] = True
font_setting_model['italic'] = True
font_setting_model['name'] = 'testString'
# Construct a dict representation of a PdfHeadingDetection model
pdf_heading_detection_model = {}
pdf_heading_detection_model['fonts'] = [font_setting_model]
# Construct a dict representation of a PdfSettings model
pdf_settings_model = {}
pdf_settings_model['heading'] = pdf_heading_detection_model
# Construct a dict representation of a WordStyle model
word_style_model = {}
word_style_model['level'] = 38
word_style_model['names'] = ['testString']
# Construct a dict representation of a WordHeadingDetection model
word_heading_detection_model = {}
word_heading_detection_model['fonts'] = [font_setting_model]
word_heading_detection_model['styles'] = [word_style_model]
# Construct a dict representation of a WordSettings model
word_settings_model = {}
word_settings_model['heading'] = word_heading_detection_model
# Construct a dict representation of a XPathPatterns model
x_path_patterns_model = {}
x_path_patterns_model['xpaths'] = ['testString']
# Construct a dict representation of a HtmlSettings model
html_settings_model = {}
html_settings_model['exclude_tags_completely'] = ['testString']
html_settings_model['exclude_tags_keep_content'] = ['testString']
html_settings_model['keep_content'] = x_path_patterns_model
html_settings_model['exclude_content'] = x_path_patterns_model
html_settings_model['keep_tag_attributes'] = ['testString']
html_settings_model['exclude_tag_attributes'] = ['testString']
# Construct a dict representation of a SegmentSettings model
segment_settings_model = {}
segment_settings_model['enabled'] = True
segment_settings_model['selector_tags'] = ['testString']
segment_settings_model['annotated_fields'] = ['testString']
# Construct a dict representation of a NormalizationOperation model
normalization_operation_model = {}
normalization_operation_model['operation'] = 'copy'
normalization_operation_model['source_field'] = 'testString'
normalization_operation_model['destination_field'] = 'testString'
# Construct a dict representation of a Conversions model
conversions_model = {}
conversions_model['pdf'] = pdf_settings_model
conversions_model['word'] = word_settings_model
conversions_model['html'] = html_settings_model
conversions_model['segment'] = segment_settings_model
conversions_model['json_normalizations'] = [normalization_operation_model]
conversions_model['image_text_recognition'] = True
# Construct a dict representation of a NluEnrichmentKeywords model
nlu_enrichment_keywords_model = {}
nlu_enrichment_keywords_model['sentiment'] = True
nlu_enrichment_keywords_model['emotion'] = True
nlu_enrichment_keywords_model['limit'] = 38
# Construct a dict representation of a NluEnrichmentEntities model
nlu_enrichment_entities_model = {}
nlu_enrichment_entities_model['sentiment'] = True
nlu_enrichment_entities_model['emotion'] = True
nlu_enrichment_entities_model['limit'] = 38
nlu_enrichment_entities_model['mentions'] = True
nlu_enrichment_entities_model['mention_types'] = True
nlu_enrichment_entities_model['sentence_locations'] = True
nlu_enrichment_entities_model['model'] = 'testString'
# Construct a dict representation of a NluEnrichmentSentiment model
nlu_enrichment_sentiment_model = {}
nlu_enrichment_sentiment_model['document'] = True
nlu_enrichment_sentiment_model['targets'] = ['testString']
# Construct a dict representation of a NluEnrichmentEmotion model
nlu_enrichment_emotion_model = {}
nlu_enrichment_emotion_model['document'] = True
nlu_enrichment_emotion_model['targets'] = ['testString']
# Construct a dict representation of a NluEnrichmentSemanticRoles model
nlu_enrichment_semantic_roles_model = {}
nlu_enrichment_semantic_roles_model['entities'] = True
nlu_enrichment_semantic_roles_model['keywords'] = True
nlu_enrichment_semantic_roles_model['limit'] = 38
# Construct a dict representation of a NluEnrichmentRelations model
nlu_enrichment_relations_model = {}
nlu_enrichment_relations_model['model'] = 'testString'
# Construct a dict representation of a NluEnrichmentConcepts model
nlu_enrichment_concepts_model = {}
nlu_enrichment_concepts_model['limit'] = 38
# Construct a dict representation of a NluEnrichmentFeatures model
nlu_enrichment_features_model = {}
nlu_enrichment_features_model['keywords'] = nlu_enrichment_keywords_model
nlu_enrichment_features_model['entities'] = nlu_enrichment_entities_model
nlu_enrichment_features_model['sentiment'] = nlu_enrichment_sentiment_model
nlu_enrichment_features_model['emotion'] = nlu_enrichment_emotion_model
nlu_enrichment_features_model['categories'] = {}
nlu_enrichment_features_model['semantic_roles'] = nlu_enrichment_semantic_roles_model
nlu_enrichment_features_model['relations'] = nlu_enrichment_relations_model
nlu_enrichment_features_model['concepts'] = nlu_enrichment_concepts_model
# Construct a dict representation of a EnrichmentOptions model
enrichment_options_model = {}
enrichment_options_model['features'] = nlu_enrichment_features_model
enrichment_options_model['language'] = 'ar'
enrichment_options_model['model'] = 'testString'
# Construct a dict representation of a Enrichment model
enrichment_model = {}
enrichment_model['description'] = 'testString'
enrichment_model['destination_field'] = 'testString'
enrichment_model['source_field'] = 'testString'
enrichment_model['overwrite'] = True
enrichment_model['enrichment'] = 'testString'
enrichment_model['ignore_downstream_errors'] = True
enrichment_model['options'] = enrichment_options_model
# Construct a dict representation of a SourceSchedule model
source_schedule_model = {}
source_schedule_model['enabled'] = True
source_schedule_model['time_zone'] = 'testString'
source_schedule_model['frequency'] = 'daily'
# Construct a dict representation of a SourceOptionsFolder model
source_options_folder_model = {}
source_options_folder_model['owner_user_id'] = 'testString'
source_options_folder_model['folder_id'] = 'testString'
source_options_folder_model['limit'] = 38
# Construct a dict representation of a SourceOptionsObject model
source_options_object_model = {}
source_options_object_model['name'] = 'testString'
source_options_object_model['limit'] = 38
# Construct a dict representation of a SourceOptionsSiteColl model
source_options_site_coll_model = {}
source_options_site_coll_model['site_collection_path'] = 'testString'
source_options_site_coll_model['limit'] = 38
# Construct a dict representation of a SourceOptionsWebCrawl model
source_options_web_crawl_model = {}
source_options_web_crawl_model['url'] = 'testString'
source_options_web_crawl_model['limit_to_starting_hosts'] = True
source_options_web_crawl_model['crawl_speed'] = 'gentle'
source_options_web_crawl_model['allow_untrusted_certificate'] = True
source_options_web_crawl_model['maximum_hops'] = 38
source_options_web_crawl_model['request_timeout'] = 38
source_options_web_crawl_model['override_robots_txt'] = True
source_options_web_crawl_model['blacklist'] = ['testString']
# Construct a dict representation of a SourceOptionsBuckets model
source_options_buckets_model = {}
source_options_buckets_model['name'] = 'testString'
source_options_buckets_model['limit'] = 38
# Construct a dict representation of a SourceOptions model
source_options_model = {}
source_options_model['folders'] = [source_options_folder_model]
source_options_model['objects'] = [source_options_object_model]
source_options_model['site_collections'] = [source_options_site_coll_model]
source_options_model['urls'] = [source_options_web_crawl_model]
source_options_model['buckets'] = [source_options_buckets_model]
source_options_model['crawl_all_buckets'] = True
# Construct a dict representation of a Source model
source_model = {}
source_model['type'] = 'box'
source_model['credential_id'] = 'testString'
source_model['schedule'] = source_schedule_model
source_model['options'] = source_options_model
# Set up parameter values
environment_id = 'testString'
name = 'testString'
description = 'testString'
conversions = conversions_model
enrichments = [enrichment_model]
normalizations = [normalization_operation_model]
source = source_model
# Invoke method
response = service.create_configuration(
environment_id,
name,
description=description,
conversions=conversions,
enrichments=enrichments,
normalizations=normalizations,
source=source,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 201
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['name'] == 'testString'
assert req_body['description'] == 'testString'
assert req_body['conversions'] == conversions_model
assert req_body['enrichments'] == [enrichment_model]
assert req_body['normalizations'] == [normalization_operation_model]
assert req_body['source'] == source_model
@responses.activate
def test_create_configuration_value_error(self):
"""
test_create_configuration_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/configurations')
mock_response = '{"configuration_id": "configuration_id", "name": "name", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "description": "description", "conversions": {"pdf": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}]}}, "word": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}], "styles": [{"level": 5, "names": ["names"]}]}}, "html": {"exclude_tags_completely": ["exclude_tags_completely"], "exclude_tags_keep_content": ["exclude_tags_keep_content"], "keep_content": {"xpaths": ["xpaths"]}, "exclude_content": {"xpaths": ["xpaths"]}, "keep_tag_attributes": ["keep_tag_attributes"], "exclude_tag_attributes": ["exclude_tag_attributes"]}, "segment": {"enabled": false, "selector_tags": ["selector_tags"], "annotated_fields": ["annotated_fields"]}, "json_normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "image_text_recognition": true}, "enrichments": [{"description": "description", "destination_field": "destination_field", "source_field": "source_field", "overwrite": false, "enrichment": "enrichment", "ignore_downstream_errors": true, "options": {"features": {"keywords": {"sentiment": false, "emotion": false, "limit": 5}, "entities": {"sentiment": false, "emotion": false, "limit": 5, "mentions": true, "mention_types": false, "sentence_locations": true, "model": "model"}, "sentiment": {"document": true, "targets": ["target"]}, "emotion": {"document": true, "targets": ["target"]}, "categories": {"mapKey": {"anyKey": "anyValue"}}, "semantic_roles": {"entities": true, "keywords": true, "limit": 5}, "relations": {"model": "model"}, "concepts": {"limit": 5}}, "language": "ar", "model": "model"}}], "normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "source": {"type": "box", "credential_id": "credential_id", "schedule": {"enabled": false, "time_zone": "time_zone", "frequency": "daily"}, "options": {"folders": [{"owner_user_id": "owner_user_id", "folder_id": "folder_id", "limit": 5}], "objects": [{"name": "name", "limit": 5}], "site_collections": [{"site_collection_path": "site_collection_path", "limit": 5}], "urls": [{"url": "url", "limit_to_starting_hosts": false, "crawl_speed": "gentle", "allow_untrusted_certificate": false, "maximum_hops": 12, "request_timeout": 15, "override_robots_txt": false, "blacklist": ["blacklist"]}], "buckets": [{"name": "name", "limit": 5}], "crawl_all_buckets": false}}}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=201)
# Construct a dict representation of a FontSetting model
font_setting_model = {}
font_setting_model['level'] = 38
font_setting_model['min_size'] = 38
font_setting_model['max_size'] = 38
font_setting_model['bold'] = True
font_setting_model['italic'] = True
font_setting_model['name'] = 'testString'
# Construct a dict representation of a PdfHeadingDetection model
pdf_heading_detection_model = {}
pdf_heading_detection_model['fonts'] = [font_setting_model]
# Construct a dict representation of a PdfSettings model
pdf_settings_model = {}
pdf_settings_model['heading'] = pdf_heading_detection_model
# Construct a dict representation of a WordStyle model
word_style_model = {}
word_style_model['level'] = 38
word_style_model['names'] = ['testString']
# Construct a dict representation of a WordHeadingDetection model
word_heading_detection_model = {}
word_heading_detection_model['fonts'] = [font_setting_model]
word_heading_detection_model['styles'] = [word_style_model]
# Construct a dict representation of a WordSettings model
word_settings_model = {}
word_settings_model['heading'] = word_heading_detection_model
# Construct a dict representation of a XPathPatterns model
x_path_patterns_model = {}
x_path_patterns_model['xpaths'] = ['testString']
# Construct a dict representation of a HtmlSettings model
html_settings_model = {}
html_settings_model['exclude_tags_completely'] = ['testString']
html_settings_model['exclude_tags_keep_content'] = ['testString']
html_settings_model['keep_content'] = x_path_patterns_model
html_settings_model['exclude_content'] = x_path_patterns_model
html_settings_model['keep_tag_attributes'] = ['testString']
html_settings_model['exclude_tag_attributes'] = ['testString']
# Construct a dict representation of a SegmentSettings model
segment_settings_model = {}
segment_settings_model['enabled'] = True
segment_settings_model['selector_tags'] = ['testString']
segment_settings_model['annotated_fields'] = ['testString']
# Construct a dict representation of a NormalizationOperation model
normalization_operation_model = {}
normalization_operation_model['operation'] = 'copy'
normalization_operation_model['source_field'] = 'testString'
normalization_operation_model['destination_field'] = 'testString'
# Construct a dict representation of a Conversions model
conversions_model = {}
conversions_model['pdf'] = pdf_settings_model
conversions_model['word'] = word_settings_model
conversions_model['html'] = html_settings_model
conversions_model['segment'] = segment_settings_model
conversions_model['json_normalizations'] = [normalization_operation_model]
conversions_model['image_text_recognition'] = True
# Construct a dict representation of a NluEnrichmentKeywords model
nlu_enrichment_keywords_model = {}
nlu_enrichment_keywords_model['sentiment'] = True
nlu_enrichment_keywords_model['emotion'] = True
nlu_enrichment_keywords_model['limit'] = 38
# Construct a dict representation of a NluEnrichmentEntities model
nlu_enrichment_entities_model = {}
nlu_enrichment_entities_model['sentiment'] = True
nlu_enrichment_entities_model['emotion'] = True
nlu_enrichment_entities_model['limit'] = 38
nlu_enrichment_entities_model['mentions'] = True
nlu_enrichment_entities_model['mention_types'] = True
nlu_enrichment_entities_model['sentence_locations'] = True
nlu_enrichment_entities_model['model'] = 'testString'
# Construct a dict representation of a NluEnrichmentSentiment model
nlu_enrichment_sentiment_model = {}
nlu_enrichment_sentiment_model['document'] = True
nlu_enrichment_sentiment_model['targets'] = ['testString']
# Construct a dict representation of a NluEnrichmentEmotion model
nlu_enrichment_emotion_model = {}
nlu_enrichment_emotion_model['document'] = True
nlu_enrichment_emotion_model['targets'] = ['testString']
# Construct a dict representation of a NluEnrichmentSemanticRoles model
nlu_enrichment_semantic_roles_model = {}
nlu_enrichment_semantic_roles_model['entities'] = True
nlu_enrichment_semantic_roles_model['keywords'] = True
nlu_enrichment_semantic_roles_model['limit'] = 38
# Construct a dict representation of a NluEnrichmentRelations model
nlu_enrichment_relations_model = {}
nlu_enrichment_relations_model['model'] = 'testString'
# Construct a dict representation of a NluEnrichmentConcepts model
nlu_enrichment_concepts_model = {}
nlu_enrichment_concepts_model['limit'] = 38
# Construct a dict representation of a NluEnrichmentFeatures model
nlu_enrichment_features_model = {}
nlu_enrichment_features_model['keywords'] = nlu_enrichment_keywords_model
nlu_enrichment_features_model['entities'] = nlu_enrichment_entities_model
nlu_enrichment_features_model['sentiment'] = nlu_enrichment_sentiment_model
nlu_enrichment_features_model['emotion'] = nlu_enrichment_emotion_model
nlu_enrichment_features_model['categories'] = {}
nlu_enrichment_features_model['semantic_roles'] = nlu_enrichment_semantic_roles_model
nlu_enrichment_features_model['relations'] = nlu_enrichment_relations_model
nlu_enrichment_features_model['concepts'] = nlu_enrichment_concepts_model
# Construct a dict representation of a EnrichmentOptions model
enrichment_options_model = {}
enrichment_options_model['features'] = nlu_enrichment_features_model
enrichment_options_model['language'] = 'ar'
enrichment_options_model['model'] = 'testString'
# Construct a dict representation of a Enrichment model
enrichment_model = {}
enrichment_model['description'] = 'testString'
enrichment_model['destination_field'] = 'testString'
enrichment_model['source_field'] = 'testString'
enrichment_model['overwrite'] = True
enrichment_model['enrichment'] = 'testString'
enrichment_model['ignore_downstream_errors'] = True
enrichment_model['options'] = enrichment_options_model
# Construct a dict representation of a SourceSchedule model
source_schedule_model = {}
source_schedule_model['enabled'] = True
source_schedule_model['time_zone'] = 'testString'
source_schedule_model['frequency'] = 'daily'
# Construct a dict representation of a SourceOptionsFolder model
source_options_folder_model = {}
source_options_folder_model['owner_user_id'] = 'testString'
source_options_folder_model['folder_id'] = 'testString'
source_options_folder_model['limit'] = 38
# Construct a dict representation of a SourceOptionsObject model
source_options_object_model = {}
source_options_object_model['name'] = 'testString'
source_options_object_model['limit'] = 38
# Construct a dict representation of a SourceOptionsSiteColl model
source_options_site_coll_model = {}
source_options_site_coll_model['site_collection_path'] = 'testString'
source_options_site_coll_model['limit'] = 38
# Construct a dict representation of a SourceOptionsWebCrawl model
source_options_web_crawl_model = {}
source_options_web_crawl_model['url'] = 'testString'
source_options_web_crawl_model['limit_to_starting_hosts'] = True
source_options_web_crawl_model['crawl_speed'] = 'gentle'
source_options_web_crawl_model['allow_untrusted_certificate'] = True
source_options_web_crawl_model['maximum_hops'] = 38
source_options_web_crawl_model['request_timeout'] = 38
source_options_web_crawl_model['override_robots_txt'] = True
source_options_web_crawl_model['blacklist'] = ['testString']
# Construct a dict representation of a SourceOptionsBuckets model
source_options_buckets_model = {}
source_options_buckets_model['name'] = 'testString'
source_options_buckets_model['limit'] = 38
# Construct a dict representation of a SourceOptions model
source_options_model = {}
source_options_model['folders'] = [source_options_folder_model]
source_options_model['objects'] = [source_options_object_model]
source_options_model['site_collections'] = [source_options_site_coll_model]
source_options_model['urls'] = [source_options_web_crawl_model]
source_options_model['buckets'] = [source_options_buckets_model]
source_options_model['crawl_all_buckets'] = True
# Construct a dict representation of a Source model
source_model = {}
source_model['type'] = 'box'
source_model['credential_id'] = 'testString'
source_model['schedule'] = source_schedule_model
source_model['options'] = source_options_model
# Set up parameter values
environment_id = 'testString'
name = 'testString'
description = 'testString'
conversions = conversions_model
enrichments = [enrichment_model]
normalizations = [normalization_operation_model]
source = source_model
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"name": name,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.create_configuration(**req_copy)
class TestListConfigurations():
"""
Test Class for list_configurations
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_list_configurations_all_params(self):
"""
list_configurations()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/configurations')
mock_response = '{"configurations": [{"configuration_id": "configuration_id", "name": "name", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "description": "description", "conversions": {"pdf": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}]}}, "word": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}], "styles": [{"level": 5, "names": ["names"]}]}}, "html": {"exclude_tags_completely": ["exclude_tags_completely"], "exclude_tags_keep_content": ["exclude_tags_keep_content"], "keep_content": {"xpaths": ["xpaths"]}, "exclude_content": {"xpaths": ["xpaths"]}, "keep_tag_attributes": ["keep_tag_attributes"], "exclude_tag_attributes": ["exclude_tag_attributes"]}, "segment": {"enabled": false, "selector_tags": ["selector_tags"], "annotated_fields": ["annotated_fields"]}, "json_normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "image_text_recognition": true}, "enrichments": [{"description": "description", "destination_field": "destination_field", "source_field": "source_field", "overwrite": false, "enrichment": "enrichment", "ignore_downstream_errors": true, "options": {"features": {"keywords": {"sentiment": false, "emotion": false, "limit": 5}, "entities": {"sentiment": false, "emotion": false, "limit": 5, "mentions": true, "mention_types": false, "sentence_locations": true, "model": "model"}, "sentiment": {"document": true, "targets": ["target"]}, "emotion": {"document": true, "targets": ["target"]}, "categories": {"mapKey": {"anyKey": "anyValue"}}, "semantic_roles": {"entities": true, "keywords": true, "limit": 5}, "relations": {"model": "model"}, "concepts": {"limit": 5}}, "language": "ar", "model": "model"}}], "normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "source": {"type": "box", "credential_id": "credential_id", "schedule": {"enabled": false, "time_zone": "time_zone", "frequency": "daily"}, "options": {"folders": [{"owner_user_id": "owner_user_id", "folder_id": "folder_id", "limit": 5}], "objects": [{"name": "name", "limit": 5}], "site_collections": [{"site_collection_path": "site_collection_path", "limit": 5}], "urls": [{"url": "url", "limit_to_starting_hosts": false, "crawl_speed": "gentle", "allow_untrusted_certificate": false, "maximum_hops": 12, "request_timeout": 15, "override_robots_txt": false, "blacklist": ["blacklist"]}], "buckets": [{"name": "name", "limit": 5}], "crawl_all_buckets": false}}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
name = 'testString'
# Invoke method
response = service.list_configurations(
environment_id,
name=name,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'name={}'.format(name) in query_string
@responses.activate
def test_list_configurations_required_params(self):
"""
test_list_configurations_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/configurations')
mock_response = '{"configurations": [{"configuration_id": "configuration_id", "name": "name", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "description": "description", "conversions": {"pdf": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}]}}, "word": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}], "styles": [{"level": 5, "names": ["names"]}]}}, "html": {"exclude_tags_completely": ["exclude_tags_completely"], "exclude_tags_keep_content": ["exclude_tags_keep_content"], "keep_content": {"xpaths": ["xpaths"]}, "exclude_content": {"xpaths": ["xpaths"]}, "keep_tag_attributes": ["keep_tag_attributes"], "exclude_tag_attributes": ["exclude_tag_attributes"]}, "segment": {"enabled": false, "selector_tags": ["selector_tags"], "annotated_fields": ["annotated_fields"]}, "json_normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "image_text_recognition": true}, "enrichments": [{"description": "description", "destination_field": "destination_field", "source_field": "source_field", "overwrite": false, "enrichment": "enrichment", "ignore_downstream_errors": true, "options": {"features": {"keywords": {"sentiment": false, "emotion": false, "limit": 5}, "entities": {"sentiment": false, "emotion": false, "limit": 5, "mentions": true, "mention_types": false, "sentence_locations": true, "model": "model"}, "sentiment": {"document": true, "targets": ["target"]}, "emotion": {"document": true, "targets": ["target"]}, "categories": {"mapKey": {"anyKey": "anyValue"}}, "semantic_roles": {"entities": true, "keywords": true, "limit": 5}, "relations": {"model": "model"}, "concepts": {"limit": 5}}, "language": "ar", "model": "model"}}], "normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "source": {"type": "box", "credential_id": "credential_id", "schedule": {"enabled": false, "time_zone": "time_zone", "frequency": "daily"}, "options": {"folders": [{"owner_user_id": "owner_user_id", "folder_id": "folder_id", "limit": 5}], "objects": [{"name": "name", "limit": 5}], "site_collections": [{"site_collection_path": "site_collection_path", "limit": 5}], "urls": [{"url": "url", "limit_to_starting_hosts": false, "crawl_speed": "gentle", "allow_untrusted_certificate": false, "maximum_hops": 12, "request_timeout": 15, "override_robots_txt": false, "blacklist": ["blacklist"]}], "buckets": [{"name": "name", "limit": 5}], "crawl_all_buckets": false}}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Invoke method
response = service.list_configurations(
environment_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_list_configurations_value_error(self):
"""
test_list_configurations_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/configurations')
mock_response = '{"configurations": [{"configuration_id": "configuration_id", "name": "name", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "description": "description", "conversions": {"pdf": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}]}}, "word": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}], "styles": [{"level": 5, "names": ["names"]}]}}, "html": {"exclude_tags_completely": ["exclude_tags_completely"], "exclude_tags_keep_content": ["exclude_tags_keep_content"], "keep_content": {"xpaths": ["xpaths"]}, "exclude_content": {"xpaths": ["xpaths"]}, "keep_tag_attributes": ["keep_tag_attributes"], "exclude_tag_attributes": ["exclude_tag_attributes"]}, "segment": {"enabled": false, "selector_tags": ["selector_tags"], "annotated_fields": ["annotated_fields"]}, "json_normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "image_text_recognition": true}, "enrichments": [{"description": "description", "destination_field": "destination_field", "source_field": "source_field", "overwrite": false, "enrichment": "enrichment", "ignore_downstream_errors": true, "options": {"features": {"keywords": {"sentiment": false, "emotion": false, "limit": 5}, "entities": {"sentiment": false, "emotion": false, "limit": 5, "mentions": true, "mention_types": false, "sentence_locations": true, "model": "model"}, "sentiment": {"document": true, "targets": ["target"]}, "emotion": {"document": true, "targets": ["target"]}, "categories": {"mapKey": {"anyKey": "anyValue"}}, "semantic_roles": {"entities": true, "keywords": true, "limit": 5}, "relations": {"model": "model"}, "concepts": {"limit": 5}}, "language": "ar", "model": "model"}}], "normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "source": {"type": "box", "credential_id": "credential_id", "schedule": {"enabled": false, "time_zone": "time_zone", "frequency": "daily"}, "options": {"folders": [{"owner_user_id": "owner_user_id", "folder_id": "folder_id", "limit": 5}], "objects": [{"name": "name", "limit": 5}], "site_collections": [{"site_collection_path": "site_collection_path", "limit": 5}], "urls": [{"url": "url", "limit_to_starting_hosts": false, "crawl_speed": "gentle", "allow_untrusted_certificate": false, "maximum_hops": 12, "request_timeout": 15, "override_robots_txt": false, "blacklist": ["blacklist"]}], "buckets": [{"name": "name", "limit": 5}], "crawl_all_buckets": false}}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.list_configurations(**req_copy)
class TestGetConfiguration():
"""
Test Class for get_configuration
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_configuration_all_params(self):
"""
get_configuration()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/configurations/testString')
mock_response = '{"configuration_id": "configuration_id", "name": "name", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "description": "description", "conversions": {"pdf": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}]}}, "word": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}], "styles": [{"level": 5, "names": ["names"]}]}}, "html": {"exclude_tags_completely": ["exclude_tags_completely"], "exclude_tags_keep_content": ["exclude_tags_keep_content"], "keep_content": {"xpaths": ["xpaths"]}, "exclude_content": {"xpaths": ["xpaths"]}, "keep_tag_attributes": ["keep_tag_attributes"], "exclude_tag_attributes": ["exclude_tag_attributes"]}, "segment": {"enabled": false, "selector_tags": ["selector_tags"], "annotated_fields": ["annotated_fields"]}, "json_normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "image_text_recognition": true}, "enrichments": [{"description": "description", "destination_field": "destination_field", "source_field": "source_field", "overwrite": false, "enrichment": "enrichment", "ignore_downstream_errors": true, "options": {"features": {"keywords": {"sentiment": false, "emotion": false, "limit": 5}, "entities": {"sentiment": false, "emotion": false, "limit": 5, "mentions": true, "mention_types": false, "sentence_locations": true, "model": "model"}, "sentiment": {"document": true, "targets": ["target"]}, "emotion": {"document": true, "targets": ["target"]}, "categories": {"mapKey": {"anyKey": "anyValue"}}, "semantic_roles": {"entities": true, "keywords": true, "limit": 5}, "relations": {"model": "model"}, "concepts": {"limit": 5}}, "language": "ar", "model": "model"}}], "normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "source": {"type": "box", "credential_id": "credential_id", "schedule": {"enabled": false, "time_zone": "time_zone", "frequency": "daily"}, "options": {"folders": [{"owner_user_id": "owner_user_id", "folder_id": "folder_id", "limit": 5}], "objects": [{"name": "name", "limit": 5}], "site_collections": [{"site_collection_path": "site_collection_path", "limit": 5}], "urls": [{"url": "url", "limit_to_starting_hosts": false, "crawl_speed": "gentle", "allow_untrusted_certificate": false, "maximum_hops": 12, "request_timeout": 15, "override_robots_txt": false, "blacklist": ["blacklist"]}], "buckets": [{"name": "name", "limit": 5}], "crawl_all_buckets": false}}}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
configuration_id = 'testString'
# Invoke method
response = service.get_configuration(
environment_id,
configuration_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_configuration_value_error(self):
"""
test_get_configuration_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/configurations/testString')
mock_response = '{"configuration_id": "configuration_id", "name": "name", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "description": "description", "conversions": {"pdf": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}]}}, "word": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}], "styles": [{"level": 5, "names": ["names"]}]}}, "html": {"exclude_tags_completely": ["exclude_tags_completely"], "exclude_tags_keep_content": ["exclude_tags_keep_content"], "keep_content": {"xpaths": ["xpaths"]}, "exclude_content": {"xpaths": ["xpaths"]}, "keep_tag_attributes": ["keep_tag_attributes"], "exclude_tag_attributes": ["exclude_tag_attributes"]}, "segment": {"enabled": false, "selector_tags": ["selector_tags"], "annotated_fields": ["annotated_fields"]}, "json_normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "image_text_recognition": true}, "enrichments": [{"description": "description", "destination_field": "destination_field", "source_field": "source_field", "overwrite": false, "enrichment": "enrichment", "ignore_downstream_errors": true, "options": {"features": {"keywords": {"sentiment": false, "emotion": false, "limit": 5}, "entities": {"sentiment": false, "emotion": false, "limit": 5, "mentions": true, "mention_types": false, "sentence_locations": true, "model": "model"}, "sentiment": {"document": true, "targets": ["target"]}, "emotion": {"document": true, "targets": ["target"]}, "categories": {"mapKey": {"anyKey": "anyValue"}}, "semantic_roles": {"entities": true, "keywords": true, "limit": 5}, "relations": {"model": "model"}, "concepts": {"limit": 5}}, "language": "ar", "model": "model"}}], "normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "source": {"type": "box", "credential_id": "credential_id", "schedule": {"enabled": false, "time_zone": "time_zone", "frequency": "daily"}, "options": {"folders": [{"owner_user_id": "owner_user_id", "folder_id": "folder_id", "limit": 5}], "objects": [{"name": "name", "limit": 5}], "site_collections": [{"site_collection_path": "site_collection_path", "limit": 5}], "urls": [{"url": "url", "limit_to_starting_hosts": false, "crawl_speed": "gentle", "allow_untrusted_certificate": false, "maximum_hops": 12, "request_timeout": 15, "override_robots_txt": false, "blacklist": ["blacklist"]}], "buckets": [{"name": "name", "limit": 5}], "crawl_all_buckets": false}}}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
configuration_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"configuration_id": configuration_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_configuration(**req_copy)
class TestUpdateConfiguration():
"""
Test Class for update_configuration
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_update_configuration_all_params(self):
"""
update_configuration()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/configurations/testString')
mock_response = '{"configuration_id": "configuration_id", "name": "name", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "description": "description", "conversions": {"pdf": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}]}}, "word": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}], "styles": [{"level": 5, "names": ["names"]}]}}, "html": {"exclude_tags_completely": ["exclude_tags_completely"], "exclude_tags_keep_content": ["exclude_tags_keep_content"], "keep_content": {"xpaths": ["xpaths"]}, "exclude_content": {"xpaths": ["xpaths"]}, "keep_tag_attributes": ["keep_tag_attributes"], "exclude_tag_attributes": ["exclude_tag_attributes"]}, "segment": {"enabled": false, "selector_tags": ["selector_tags"], "annotated_fields": ["annotated_fields"]}, "json_normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "image_text_recognition": true}, "enrichments": [{"description": "description", "destination_field": "destination_field", "source_field": "source_field", "overwrite": false, "enrichment": "enrichment", "ignore_downstream_errors": true, "options": {"features": {"keywords": {"sentiment": false, "emotion": false, "limit": 5}, "entities": {"sentiment": false, "emotion": false, "limit": 5, "mentions": true, "mention_types": false, "sentence_locations": true, "model": "model"}, "sentiment": {"document": true, "targets": ["target"]}, "emotion": {"document": true, "targets": ["target"]}, "categories": {"mapKey": {"anyKey": "anyValue"}}, "semantic_roles": {"entities": true, "keywords": true, "limit": 5}, "relations": {"model": "model"}, "concepts": {"limit": 5}}, "language": "ar", "model": "model"}}], "normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "source": {"type": "box", "credential_id": "credential_id", "schedule": {"enabled": false, "time_zone": "time_zone", "frequency": "daily"}, "options": {"folders": [{"owner_user_id": "owner_user_id", "folder_id": "folder_id", "limit": 5}], "objects": [{"name": "name", "limit": 5}], "site_collections": [{"site_collection_path": "site_collection_path", "limit": 5}], "urls": [{"url": "url", "limit_to_starting_hosts": false, "crawl_speed": "gentle", "allow_untrusted_certificate": false, "maximum_hops": 12, "request_timeout": 15, "override_robots_txt": false, "blacklist": ["blacklist"]}], "buckets": [{"name": "name", "limit": 5}], "crawl_all_buckets": false}}}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a FontSetting model
font_setting_model = {}
font_setting_model['level'] = 38
font_setting_model['min_size'] = 38
font_setting_model['max_size'] = 38
font_setting_model['bold'] = True
font_setting_model['italic'] = True
font_setting_model['name'] = 'testString'
# Construct a dict representation of a PdfHeadingDetection model
pdf_heading_detection_model = {}
pdf_heading_detection_model['fonts'] = [font_setting_model]
# Construct a dict representation of a PdfSettings model
pdf_settings_model = {}
pdf_settings_model['heading'] = pdf_heading_detection_model
# Construct a dict representation of a WordStyle model
word_style_model = {}
word_style_model['level'] = 38
word_style_model['names'] = ['testString']
# Construct a dict representation of a WordHeadingDetection model
word_heading_detection_model = {}
word_heading_detection_model['fonts'] = [font_setting_model]
word_heading_detection_model['styles'] = [word_style_model]
# Construct a dict representation of a WordSettings model
word_settings_model = {}
word_settings_model['heading'] = word_heading_detection_model
# Construct a dict representation of a XPathPatterns model
x_path_patterns_model = {}
x_path_patterns_model['xpaths'] = ['testString']
# Construct a dict representation of a HtmlSettings model
html_settings_model = {}
html_settings_model['exclude_tags_completely'] = ['testString']
html_settings_model['exclude_tags_keep_content'] = ['testString']
html_settings_model['keep_content'] = x_path_patterns_model
html_settings_model['exclude_content'] = x_path_patterns_model
html_settings_model['keep_tag_attributes'] = ['testString']
html_settings_model['exclude_tag_attributes'] = ['testString']
# Construct a dict representation of a SegmentSettings model
segment_settings_model = {}
segment_settings_model['enabled'] = True
segment_settings_model['selector_tags'] = ['testString']
segment_settings_model['annotated_fields'] = ['testString']
# Construct a dict representation of a NormalizationOperation model
normalization_operation_model = {}
normalization_operation_model['operation'] = 'copy'
normalization_operation_model['source_field'] = 'testString'
normalization_operation_model['destination_field'] = 'testString'
# Construct a dict representation of a Conversions model
conversions_model = {}
conversions_model['pdf'] = pdf_settings_model
conversions_model['word'] = word_settings_model
conversions_model['html'] = html_settings_model
conversions_model['segment'] = segment_settings_model
conversions_model['json_normalizations'] = [normalization_operation_model]
conversions_model['image_text_recognition'] = True
# Construct a dict representation of a NluEnrichmentKeywords model
nlu_enrichment_keywords_model = {}
nlu_enrichment_keywords_model['sentiment'] = True
nlu_enrichment_keywords_model['emotion'] = True
nlu_enrichment_keywords_model['limit'] = 38
# Construct a dict representation of a NluEnrichmentEntities model
nlu_enrichment_entities_model = {}
nlu_enrichment_entities_model['sentiment'] = True
nlu_enrichment_entities_model['emotion'] = True
nlu_enrichment_entities_model['limit'] = 38
nlu_enrichment_entities_model['mentions'] = True
nlu_enrichment_entities_model['mention_types'] = True
nlu_enrichment_entities_model['sentence_locations'] = True
nlu_enrichment_entities_model['model'] = 'testString'
# Construct a dict representation of a NluEnrichmentSentiment model
nlu_enrichment_sentiment_model = {}
nlu_enrichment_sentiment_model['document'] = True
nlu_enrichment_sentiment_model['targets'] = ['testString']
# Construct a dict representation of a NluEnrichmentEmotion model
nlu_enrichment_emotion_model = {}
nlu_enrichment_emotion_model['document'] = True
nlu_enrichment_emotion_model['targets'] = ['testString']
# Construct a dict representation of a NluEnrichmentSemanticRoles model
nlu_enrichment_semantic_roles_model = {}
nlu_enrichment_semantic_roles_model['entities'] = True
nlu_enrichment_semantic_roles_model['keywords'] = True
nlu_enrichment_semantic_roles_model['limit'] = 38
# Construct a dict representation of a NluEnrichmentRelations model
nlu_enrichment_relations_model = {}
nlu_enrichment_relations_model['model'] = 'testString'
# Construct a dict representation of a NluEnrichmentConcepts model
nlu_enrichment_concepts_model = {}
nlu_enrichment_concepts_model['limit'] = 38
# Construct a dict representation of a NluEnrichmentFeatures model
nlu_enrichment_features_model = {}
nlu_enrichment_features_model['keywords'] = nlu_enrichment_keywords_model
nlu_enrichment_features_model['entities'] = nlu_enrichment_entities_model
nlu_enrichment_features_model['sentiment'] = nlu_enrichment_sentiment_model
nlu_enrichment_features_model['emotion'] = nlu_enrichment_emotion_model
nlu_enrichment_features_model['categories'] = {}
nlu_enrichment_features_model['semantic_roles'] = nlu_enrichment_semantic_roles_model
nlu_enrichment_features_model['relations'] = nlu_enrichment_relations_model
nlu_enrichment_features_model['concepts'] = nlu_enrichment_concepts_model
# Construct a dict representation of a EnrichmentOptions model
enrichment_options_model = {}
enrichment_options_model['features'] = nlu_enrichment_features_model
enrichment_options_model['language'] = 'ar'
enrichment_options_model['model'] = 'testString'
# Construct a dict representation of a Enrichment model
enrichment_model = {}
enrichment_model['description'] = 'testString'
enrichment_model['destination_field'] = 'testString'
enrichment_model['source_field'] = 'testString'
enrichment_model['overwrite'] = True
enrichment_model['enrichment'] = 'testString'
enrichment_model['ignore_downstream_errors'] = True
enrichment_model['options'] = enrichment_options_model
# Construct a dict representation of a SourceSchedule model
source_schedule_model = {}
source_schedule_model['enabled'] = True
source_schedule_model['time_zone'] = 'testString'
source_schedule_model['frequency'] = 'daily'
# Construct a dict representation of a SourceOptionsFolder model
source_options_folder_model = {}
source_options_folder_model['owner_user_id'] = 'testString'
source_options_folder_model['folder_id'] = 'testString'
source_options_folder_model['limit'] = 38
# Construct a dict representation of a SourceOptionsObject model
source_options_object_model = {}
source_options_object_model['name'] = 'testString'
source_options_object_model['limit'] = 38
# Construct a dict representation of a SourceOptionsSiteColl model
source_options_site_coll_model = {}
source_options_site_coll_model['site_collection_path'] = 'testString'
source_options_site_coll_model['limit'] = 38
# Construct a dict representation of a SourceOptionsWebCrawl model
source_options_web_crawl_model = {}
source_options_web_crawl_model['url'] = 'testString'
source_options_web_crawl_model['limit_to_starting_hosts'] = True
source_options_web_crawl_model['crawl_speed'] = 'gentle'
source_options_web_crawl_model['allow_untrusted_certificate'] = True
source_options_web_crawl_model['maximum_hops'] = 38
source_options_web_crawl_model['request_timeout'] = 38
source_options_web_crawl_model['override_robots_txt'] = True
source_options_web_crawl_model['blacklist'] = ['testString']
# Construct a dict representation of a SourceOptionsBuckets model
source_options_buckets_model = {}
source_options_buckets_model['name'] = 'testString'
source_options_buckets_model['limit'] = 38
# Construct a dict representation of a SourceOptions model
source_options_model = {}
source_options_model['folders'] = [source_options_folder_model]
source_options_model['objects'] = [source_options_object_model]
source_options_model['site_collections'] = [source_options_site_coll_model]
source_options_model['urls'] = [source_options_web_crawl_model]
source_options_model['buckets'] = [source_options_buckets_model]
source_options_model['crawl_all_buckets'] = True
# Construct a dict representation of a Source model
source_model = {}
source_model['type'] = 'box'
source_model['credential_id'] = 'testString'
source_model['schedule'] = source_schedule_model
source_model['options'] = source_options_model
# Set up parameter values
environment_id = 'testString'
configuration_id = 'testString'
name = 'testString'
description = 'testString'
conversions = conversions_model
enrichments = [enrichment_model]
normalizations = [normalization_operation_model]
source = source_model
# Invoke method
response = service.update_configuration(
environment_id,
configuration_id,
name,
description=description,
conversions=conversions,
enrichments=enrichments,
normalizations=normalizations,
source=source,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['name'] == 'testString'
assert req_body['description'] == 'testString'
assert req_body['conversions'] == conversions_model
assert req_body['enrichments'] == [enrichment_model]
assert req_body['normalizations'] == [normalization_operation_model]
assert req_body['source'] == source_model
@responses.activate
def test_update_configuration_value_error(self):
"""
test_update_configuration_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/configurations/testString')
mock_response = '{"configuration_id": "configuration_id", "name": "name", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "description": "description", "conversions": {"pdf": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}]}}, "word": {"heading": {"fonts": [{"level": 5, "min_size": 8, "max_size": 8, "bold": true, "italic": true, "name": "name"}], "styles": [{"level": 5, "names": ["names"]}]}}, "html": {"exclude_tags_completely": ["exclude_tags_completely"], "exclude_tags_keep_content": ["exclude_tags_keep_content"], "keep_content": {"xpaths": ["xpaths"]}, "exclude_content": {"xpaths": ["xpaths"]}, "keep_tag_attributes": ["keep_tag_attributes"], "exclude_tag_attributes": ["exclude_tag_attributes"]}, "segment": {"enabled": false, "selector_tags": ["selector_tags"], "annotated_fields": ["annotated_fields"]}, "json_normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "image_text_recognition": true}, "enrichments": [{"description": "description", "destination_field": "destination_field", "source_field": "source_field", "overwrite": false, "enrichment": "enrichment", "ignore_downstream_errors": true, "options": {"features": {"keywords": {"sentiment": false, "emotion": false, "limit": 5}, "entities": {"sentiment": false, "emotion": false, "limit": 5, "mentions": true, "mention_types": false, "sentence_locations": true, "model": "model"}, "sentiment": {"document": true, "targets": ["target"]}, "emotion": {"document": true, "targets": ["target"]}, "categories": {"mapKey": {"anyKey": "anyValue"}}, "semantic_roles": {"entities": true, "keywords": true, "limit": 5}, "relations": {"model": "model"}, "concepts": {"limit": 5}}, "language": "ar", "model": "model"}}], "normalizations": [{"operation": "copy", "source_field": "source_field", "destination_field": "destination_field"}], "source": {"type": "box", "credential_id": "credential_id", "schedule": {"enabled": false, "time_zone": "time_zone", "frequency": "daily"}, "options": {"folders": [{"owner_user_id": "owner_user_id", "folder_id": "folder_id", "limit": 5}], "objects": [{"name": "name", "limit": 5}], "site_collections": [{"site_collection_path": "site_collection_path", "limit": 5}], "urls": [{"url": "url", "limit_to_starting_hosts": false, "crawl_speed": "gentle", "allow_untrusted_certificate": false, "maximum_hops": 12, "request_timeout": 15, "override_robots_txt": false, "blacklist": ["blacklist"]}], "buckets": [{"name": "name", "limit": 5}], "crawl_all_buckets": false}}}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a FontSetting model
font_setting_model = {}
font_setting_model['level'] = 38
font_setting_model['min_size'] = 38
font_setting_model['max_size'] = 38
font_setting_model['bold'] = True
font_setting_model['italic'] = True
font_setting_model['name'] = 'testString'
# Construct a dict representation of a PdfHeadingDetection model
pdf_heading_detection_model = {}
pdf_heading_detection_model['fonts'] = [font_setting_model]
# Construct a dict representation of a PdfSettings model
pdf_settings_model = {}
pdf_settings_model['heading'] = pdf_heading_detection_model
# Construct a dict representation of a WordStyle model
word_style_model = {}
word_style_model['level'] = 38
word_style_model['names'] = ['testString']
# Construct a dict representation of a WordHeadingDetection model
word_heading_detection_model = {}
word_heading_detection_model['fonts'] = [font_setting_model]
word_heading_detection_model['styles'] = [word_style_model]
# Construct a dict representation of a WordSettings model
word_settings_model = {}
word_settings_model['heading'] = word_heading_detection_model
# Construct a dict representation of a XPathPatterns model
x_path_patterns_model = {}
x_path_patterns_model['xpaths'] = ['testString']
# Construct a dict representation of a HtmlSettings model
html_settings_model = {}
html_settings_model['exclude_tags_completely'] = ['testString']
html_settings_model['exclude_tags_keep_content'] = ['testString']
html_settings_model['keep_content'] = x_path_patterns_model
html_settings_model['exclude_content'] = x_path_patterns_model
html_settings_model['keep_tag_attributes'] = ['testString']
html_settings_model['exclude_tag_attributes'] = ['testString']
# Construct a dict representation of a SegmentSettings model
segment_settings_model = {}
segment_settings_model['enabled'] = True
segment_settings_model['selector_tags'] = ['testString']
segment_settings_model['annotated_fields'] = ['testString']
# Construct a dict representation of a NormalizationOperation model
normalization_operation_model = {}
normalization_operation_model['operation'] = 'copy'
normalization_operation_model['source_field'] = 'testString'
normalization_operation_model['destination_field'] = 'testString'
# Construct a dict representation of a Conversions model
conversions_model = {}
conversions_model['pdf'] = pdf_settings_model
conversions_model['word'] = word_settings_model
conversions_model['html'] = html_settings_model
conversions_model['segment'] = segment_settings_model
conversions_model['json_normalizations'] = [normalization_operation_model]
conversions_model['image_text_recognition'] = True
# Construct a dict representation of a NluEnrichmentKeywords model
nlu_enrichment_keywords_model = {}
nlu_enrichment_keywords_model['sentiment'] = True
nlu_enrichment_keywords_model['emotion'] = True
nlu_enrichment_keywords_model['limit'] = 38
# Construct a dict representation of a NluEnrichmentEntities model
nlu_enrichment_entities_model = {}
nlu_enrichment_entities_model['sentiment'] = True
nlu_enrichment_entities_model['emotion'] = True
nlu_enrichment_entities_model['limit'] = 38
nlu_enrichment_entities_model['mentions'] = True
nlu_enrichment_entities_model['mention_types'] = True
nlu_enrichment_entities_model['sentence_locations'] = True
nlu_enrichment_entities_model['model'] = 'testString'
# Construct a dict representation of a NluEnrichmentSentiment model
nlu_enrichment_sentiment_model = {}
nlu_enrichment_sentiment_model['document'] = True
nlu_enrichment_sentiment_model['targets'] = ['testString']
# Construct a dict representation of a NluEnrichmentEmotion model
nlu_enrichment_emotion_model = {}
nlu_enrichment_emotion_model['document'] = True
nlu_enrichment_emotion_model['targets'] = ['testString']
# Construct a dict representation of a NluEnrichmentSemanticRoles model
nlu_enrichment_semantic_roles_model = {}
nlu_enrichment_semantic_roles_model['entities'] = True
nlu_enrichment_semantic_roles_model['keywords'] = True
nlu_enrichment_semantic_roles_model['limit'] = 38
# Construct a dict representation of a NluEnrichmentRelations model
nlu_enrichment_relations_model = {}
nlu_enrichment_relations_model['model'] = 'testString'
# Construct a dict representation of a NluEnrichmentConcepts model
nlu_enrichment_concepts_model = {}
nlu_enrichment_concepts_model['limit'] = 38
# Construct a dict representation of a NluEnrichmentFeatures model
nlu_enrichment_features_model = {}
nlu_enrichment_features_model['keywords'] = nlu_enrichment_keywords_model
nlu_enrichment_features_model['entities'] = nlu_enrichment_entities_model
nlu_enrichment_features_model['sentiment'] = nlu_enrichment_sentiment_model
nlu_enrichment_features_model['emotion'] = nlu_enrichment_emotion_model
nlu_enrichment_features_model['categories'] = {}
nlu_enrichment_features_model['semantic_roles'] = nlu_enrichment_semantic_roles_model
nlu_enrichment_features_model['relations'] = nlu_enrichment_relations_model
nlu_enrichment_features_model['concepts'] = nlu_enrichment_concepts_model
# Construct a dict representation of a EnrichmentOptions model
enrichment_options_model = {}
enrichment_options_model['features'] = nlu_enrichment_features_model
enrichment_options_model['language'] = 'ar'
enrichment_options_model['model'] = 'testString'
# Construct a dict representation of a Enrichment model
enrichment_model = {}
enrichment_model['description'] = 'testString'
enrichment_model['destination_field'] = 'testString'
enrichment_model['source_field'] = 'testString'
enrichment_model['overwrite'] = True
enrichment_model['enrichment'] = 'testString'
enrichment_model['ignore_downstream_errors'] = True
enrichment_model['options'] = enrichment_options_model
# Construct a dict representation of a SourceSchedule model
source_schedule_model = {}
source_schedule_model['enabled'] = True
source_schedule_model['time_zone'] = 'testString'
source_schedule_model['frequency'] = 'daily'
# Construct a dict representation of a SourceOptionsFolder model
source_options_folder_model = {}
source_options_folder_model['owner_user_id'] = 'testString'
source_options_folder_model['folder_id'] = 'testString'
source_options_folder_model['limit'] = 38
# Construct a dict representation of a SourceOptionsObject model
source_options_object_model = {}
source_options_object_model['name'] = 'testString'
source_options_object_model['limit'] = 38
# Construct a dict representation of a SourceOptionsSiteColl model
source_options_site_coll_model = {}
source_options_site_coll_model['site_collection_path'] = 'testString'
source_options_site_coll_model['limit'] = 38
# Construct a dict representation of a SourceOptionsWebCrawl model
source_options_web_crawl_model = {}
source_options_web_crawl_model['url'] = 'testString'
source_options_web_crawl_model['limit_to_starting_hosts'] = True
source_options_web_crawl_model['crawl_speed'] = 'gentle'
source_options_web_crawl_model['allow_untrusted_certificate'] = True
source_options_web_crawl_model['maximum_hops'] = 38
source_options_web_crawl_model['request_timeout'] = 38
source_options_web_crawl_model['override_robots_txt'] = True
source_options_web_crawl_model['blacklist'] = ['testString']
# Construct a dict representation of a SourceOptionsBuckets model
source_options_buckets_model = {}
source_options_buckets_model['name'] = 'testString'
source_options_buckets_model['limit'] = 38
# Construct a dict representation of a SourceOptions model
source_options_model = {}
source_options_model['folders'] = [source_options_folder_model]
source_options_model['objects'] = [source_options_object_model]
source_options_model['site_collections'] = [source_options_site_coll_model]
source_options_model['urls'] = [source_options_web_crawl_model]
source_options_model['buckets'] = [source_options_buckets_model]
source_options_model['crawl_all_buckets'] = True
# Construct a dict representation of a Source model
source_model = {}
source_model['type'] = 'box'
source_model['credential_id'] = 'testString'
source_model['schedule'] = source_schedule_model
source_model['options'] = source_options_model
# Set up parameter values
environment_id = 'testString'
configuration_id = 'testString'
name = 'testString'
description = 'testString'
conversions = conversions_model
enrichments = [enrichment_model]
normalizations = [normalization_operation_model]
source = source_model
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"configuration_id": configuration_id,
"name": name,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.update_configuration(**req_copy)
class TestDeleteConfiguration():
"""
Test Class for delete_configuration
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_configuration_all_params(self):
"""
delete_configuration()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/configurations/testString')
mock_response = '{"configuration_id": "configuration_id", "status": "deleted", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
configuration_id = 'testString'
# Invoke method
response = service.delete_configuration(
environment_id,
configuration_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_delete_configuration_value_error(self):
"""
test_delete_configuration_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/configurations/testString')
mock_response = '{"configuration_id": "configuration_id", "status": "deleted", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
configuration_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"configuration_id": configuration_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_configuration(**req_copy)
# endregion
##############################################################################
# End of Service: Configurations
##############################################################################
##############################################################################
# Start of Service: Collections
##############################################################################
# region
class TestCreateCollection():
"""
Test Class for create_collection
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_create_collection_all_params(self):
"""
create_collection()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections')
mock_response = '{"collection_id": "collection_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "configuration_id": "configuration_id", "language": "language", "document_counts": {"available": 9, "processing": 10, "failed": 6, "pending": 7}, "disk_usage": {"used_bytes": 10}, "training_status": {"total_examples": 14, "available": false, "processing": true, "minimum_queries_added": false, "minimum_examples_added": true, "sufficient_label_diversity": true, "notices": 7, "successfully_trained": "2019-01-01T12:00:00", "data_updated": "2019-01-01T12:00:00"}, "crawl_status": {"source_crawl": {"status": "running", "next_crawl": "2019-01-01T12:00:00"}}, "smart_document_understanding": {"enabled": false, "total_annotated_pages": 21, "total_pages": 11, "total_documents": 15, "custom_fields": {"defined": 7, "maximum_allowed": 15}}}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=201)
# Set up parameter values
environment_id = 'testString'
name = 'testString'
description = 'testString'
configuration_id = 'testString'
language = 'en'
# Invoke method
response = service.create_collection(
environment_id,
name,
description=description,
configuration_id=configuration_id,
language=language,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 201
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['name'] == 'testString'
assert req_body['description'] == 'testString'
assert req_body['configuration_id'] == 'testString'
assert req_body['language'] == 'en'
@responses.activate
def test_create_collection_value_error(self):
"""
test_create_collection_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections')
mock_response = '{"collection_id": "collection_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "configuration_id": "configuration_id", "language": "language", "document_counts": {"available": 9, "processing": 10, "failed": 6, "pending": 7}, "disk_usage": {"used_bytes": 10}, "training_status": {"total_examples": 14, "available": false, "processing": true, "minimum_queries_added": false, "minimum_examples_added": true, "sufficient_label_diversity": true, "notices": 7, "successfully_trained": "2019-01-01T12:00:00", "data_updated": "2019-01-01T12:00:00"}, "crawl_status": {"source_crawl": {"status": "running", "next_crawl": "2019-01-01T12:00:00"}}, "smart_document_understanding": {"enabled": false, "total_annotated_pages": 21, "total_pages": 11, "total_documents": 15, "custom_fields": {"defined": 7, "maximum_allowed": 15}}}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=201)
# Set up parameter values
environment_id = 'testString'
name = 'testString'
description = 'testString'
configuration_id = 'testString'
language = 'en'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"name": name,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.create_collection(**req_copy)
class TestListCollections():
"""
Test Class for list_collections
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_list_collections_all_params(self):
"""
list_collections()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections')
mock_response = '{"collections": [{"collection_id": "collection_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "configuration_id": "configuration_id", "language": "language", "document_counts": {"available": 9, "processing": 10, "failed": 6, "pending": 7}, "disk_usage": {"used_bytes": 10}, "training_status": {"total_examples": 14, "available": false, "processing": true, "minimum_queries_added": false, "minimum_examples_added": true, "sufficient_label_diversity": true, "notices": 7, "successfully_trained": "2019-01-01T12:00:00", "data_updated": "2019-01-01T12:00:00"}, "crawl_status": {"source_crawl": {"status": "running", "next_crawl": "2019-01-01T12:00:00"}}, "smart_document_understanding": {"enabled": false, "total_annotated_pages": 21, "total_pages": 11, "total_documents": 15, "custom_fields": {"defined": 7, "maximum_allowed": 15}}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
name = 'testString'
# Invoke method
response = service.list_collections(
environment_id,
name=name,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'name={}'.format(name) in query_string
@responses.activate
def test_list_collections_required_params(self):
"""
test_list_collections_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections')
mock_response = '{"collections": [{"collection_id": "collection_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "configuration_id": "configuration_id", "language": "language", "document_counts": {"available": 9, "processing": 10, "failed": 6, "pending": 7}, "disk_usage": {"used_bytes": 10}, "training_status": {"total_examples": 14, "available": false, "processing": true, "minimum_queries_added": false, "minimum_examples_added": true, "sufficient_label_diversity": true, "notices": 7, "successfully_trained": "2019-01-01T12:00:00", "data_updated": "2019-01-01T12:00:00"}, "crawl_status": {"source_crawl": {"status": "running", "next_crawl": "2019-01-01T12:00:00"}}, "smart_document_understanding": {"enabled": false, "total_annotated_pages": 21, "total_pages": 11, "total_documents": 15, "custom_fields": {"defined": 7, "maximum_allowed": 15}}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Invoke method
response = service.list_collections(
environment_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_list_collections_value_error(self):
"""
test_list_collections_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections')
mock_response = '{"collections": [{"collection_id": "collection_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "configuration_id": "configuration_id", "language": "language", "document_counts": {"available": 9, "processing": 10, "failed": 6, "pending": 7}, "disk_usage": {"used_bytes": 10}, "training_status": {"total_examples": 14, "available": false, "processing": true, "minimum_queries_added": false, "minimum_examples_added": true, "sufficient_label_diversity": true, "notices": 7, "successfully_trained": "2019-01-01T12:00:00", "data_updated": "2019-01-01T12:00:00"}, "crawl_status": {"source_crawl": {"status": "running", "next_crawl": "2019-01-01T12:00:00"}}, "smart_document_understanding": {"enabled": false, "total_annotated_pages": 21, "total_pages": 11, "total_documents": 15, "custom_fields": {"defined": 7, "maximum_allowed": 15}}}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.list_collections(**req_copy)
class TestGetCollection():
"""
Test Class for get_collection
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_collection_all_params(self):
"""
get_collection()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString')
mock_response = '{"collection_id": "collection_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "configuration_id": "configuration_id", "language": "language", "document_counts": {"available": 9, "processing": 10, "failed": 6, "pending": 7}, "disk_usage": {"used_bytes": 10}, "training_status": {"total_examples": 14, "available": false, "processing": true, "minimum_queries_added": false, "minimum_examples_added": true, "sufficient_label_diversity": true, "notices": 7, "successfully_trained": "2019-01-01T12:00:00", "data_updated": "2019-01-01T12:00:00"}, "crawl_status": {"source_crawl": {"status": "running", "next_crawl": "2019-01-01T12:00:00"}}, "smart_document_understanding": {"enabled": false, "total_annotated_pages": 21, "total_pages": 11, "total_documents": 15, "custom_fields": {"defined": 7, "maximum_allowed": 15}}}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.get_collection(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_collection_value_error(self):
"""
test_get_collection_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString')
mock_response = '{"collection_id": "collection_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "configuration_id": "configuration_id", "language": "language", "document_counts": {"available": 9, "processing": 10, "failed": 6, "pending": 7}, "disk_usage": {"used_bytes": 10}, "training_status": {"total_examples": 14, "available": false, "processing": true, "minimum_queries_added": false, "minimum_examples_added": true, "sufficient_label_diversity": true, "notices": 7, "successfully_trained": "2019-01-01T12:00:00", "data_updated": "2019-01-01T12:00:00"}, "crawl_status": {"source_crawl": {"status": "running", "next_crawl": "2019-01-01T12:00:00"}}, "smart_document_understanding": {"enabled": false, "total_annotated_pages": 21, "total_pages": 11, "total_documents": 15, "custom_fields": {"defined": 7, "maximum_allowed": 15}}}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_collection(**req_copy)
class TestUpdateCollection():
"""
Test Class for update_collection
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_update_collection_all_params(self):
"""
update_collection()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString')
mock_response = '{"collection_id": "collection_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "configuration_id": "configuration_id", "language": "language", "document_counts": {"available": 9, "processing": 10, "failed": 6, "pending": 7}, "disk_usage": {"used_bytes": 10}, "training_status": {"total_examples": 14, "available": false, "processing": true, "minimum_queries_added": false, "minimum_examples_added": true, "sufficient_label_diversity": true, "notices": 7, "successfully_trained": "2019-01-01T12:00:00", "data_updated": "2019-01-01T12:00:00"}, "crawl_status": {"source_crawl": {"status": "running", "next_crawl": "2019-01-01T12:00:00"}}, "smart_document_understanding": {"enabled": false, "total_annotated_pages": 21, "total_pages": 11, "total_documents": 15, "custom_fields": {"defined": 7, "maximum_allowed": 15}}}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=201)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
name = 'testString'
description = 'testString'
configuration_id = 'testString'
# Invoke method
response = service.update_collection(
environment_id,
collection_id,
name,
description=description,
configuration_id=configuration_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 201
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['name'] == 'testString'
assert req_body['description'] == 'testString'
assert req_body['configuration_id'] == 'testString'
@responses.activate
def test_update_collection_value_error(self):
"""
test_update_collection_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString')
mock_response = '{"collection_id": "collection_id", "name": "name", "description": "description", "created": "2019-01-01T12:00:00", "updated": "2019-01-01T12:00:00", "status": "active", "configuration_id": "configuration_id", "language": "language", "document_counts": {"available": 9, "processing": 10, "failed": 6, "pending": 7}, "disk_usage": {"used_bytes": 10}, "training_status": {"total_examples": 14, "available": false, "processing": true, "minimum_queries_added": false, "minimum_examples_added": true, "sufficient_label_diversity": true, "notices": 7, "successfully_trained": "2019-01-01T12:00:00", "data_updated": "2019-01-01T12:00:00"}, "crawl_status": {"source_crawl": {"status": "running", "next_crawl": "2019-01-01T12:00:00"}}, "smart_document_understanding": {"enabled": false, "total_annotated_pages": 21, "total_pages": 11, "total_documents": 15, "custom_fields": {"defined": 7, "maximum_allowed": 15}}}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=201)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
name = 'testString'
description = 'testString'
configuration_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"name": name,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.update_collection(**req_copy)
class TestDeleteCollection():
"""
Test Class for delete_collection
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_collection_all_params(self):
"""
delete_collection()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString')
mock_response = '{"collection_id": "collection_id", "status": "deleted"}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.delete_collection(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_delete_collection_value_error(self):
"""
test_delete_collection_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString')
mock_response = '{"collection_id": "collection_id", "status": "deleted"}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_collection(**req_copy)
class TestListCollectionFields():
"""
Test Class for list_collection_fields
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_list_collection_fields_all_params(self):
"""
list_collection_fields()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/fields')
mock_response = '{"fields": [{"field": "field", "type": "nested"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.list_collection_fields(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_list_collection_fields_value_error(self):
"""
test_list_collection_fields_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/fields')
mock_response = '{"fields": [{"field": "field", "type": "nested"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.list_collection_fields(**req_copy)
# endregion
##############################################################################
# End of Service: Collections
##############################################################################
##############################################################################
# Start of Service: QueryModifications
##############################################################################
# region
class TestListExpansions():
"""
Test Class for list_expansions
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_list_expansions_all_params(self):
"""
list_expansions()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/expansions')
mock_response = '{"expansions": [{"input_terms": ["input_terms"], "expanded_terms": ["expanded_terms"]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.list_expansions(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_list_expansions_value_error(self):
"""
test_list_expansions_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/expansions')
mock_response = '{"expansions": [{"input_terms": ["input_terms"], "expanded_terms": ["expanded_terms"]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.list_expansions(**req_copy)
class TestCreateExpansions():
"""
Test Class for create_expansions
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_create_expansions_all_params(self):
"""
create_expansions()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/expansions')
mock_response = '{"expansions": [{"input_terms": ["input_terms"], "expanded_terms": ["expanded_terms"]}]}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a Expansion model
expansion_model = {}
expansion_model['input_terms'] = ['testString']
expansion_model['expanded_terms'] = ['testString']
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
expansions = [expansion_model]
# Invoke method
response = service.create_expansions(
environment_id,
collection_id,
expansions,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['expansions'] == [expansion_model]
@responses.activate
def test_create_expansions_value_error(self):
"""
test_create_expansions_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/expansions')
mock_response = '{"expansions": [{"input_terms": ["input_terms"], "expanded_terms": ["expanded_terms"]}]}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a Expansion model
expansion_model = {}
expansion_model['input_terms'] = ['testString']
expansion_model['expanded_terms'] = ['testString']
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
expansions = [expansion_model]
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"expansions": expansions,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.create_expansions(**req_copy)
class TestDeleteExpansions():
"""
Test Class for delete_expansions
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_expansions_all_params(self):
"""
delete_expansions()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/expansions')
responses.add(responses.DELETE,
url,
status=204)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.delete_expansions(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 204
@responses.activate
def test_delete_expansions_value_error(self):
"""
test_delete_expansions_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/expansions')
responses.add(responses.DELETE,
url,
status=204)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_expansions(**req_copy)
class TestGetTokenizationDictionaryStatus():
"""
Test Class for get_tokenization_dictionary_status
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_tokenization_dictionary_status_all_params(self):
"""
get_tokenization_dictionary_status()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/tokenization_dictionary')
mock_response = '{"status": "active", "type": "type"}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.get_tokenization_dictionary_status(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_tokenization_dictionary_status_value_error(self):
"""
test_get_tokenization_dictionary_status_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/tokenization_dictionary')
mock_response = '{"status": "active", "type": "type"}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_tokenization_dictionary_status(**req_copy)
class TestCreateTokenizationDictionary():
"""
Test Class for create_tokenization_dictionary
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_create_tokenization_dictionary_all_params(self):
"""
create_tokenization_dictionary()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/tokenization_dictionary')
mock_response = '{"status": "active", "type": "type"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=202)
# Construct a dict representation of a TokenDictRule model
token_dict_rule_model = {}
token_dict_rule_model['text'] = 'testString'
token_dict_rule_model['tokens'] = ['testString']
token_dict_rule_model['readings'] = ['testString']
token_dict_rule_model['part_of_speech'] = 'testString'
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
tokenization_rules = [token_dict_rule_model]
# Invoke method
response = service.create_tokenization_dictionary(
environment_id,
collection_id,
tokenization_rules=tokenization_rules,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 202
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['tokenization_rules'] == [token_dict_rule_model]
@responses.activate
def test_create_tokenization_dictionary_required_params(self):
"""
test_create_tokenization_dictionary_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/tokenization_dictionary')
mock_response = '{"status": "active", "type": "type"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=202)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.create_tokenization_dictionary(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 202
@responses.activate
def test_create_tokenization_dictionary_value_error(self):
"""
test_create_tokenization_dictionary_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/tokenization_dictionary')
mock_response = '{"status": "active", "type": "type"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=202)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.create_tokenization_dictionary(**req_copy)
class TestDeleteTokenizationDictionary():
"""
Test Class for delete_tokenization_dictionary
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_tokenization_dictionary_all_params(self):
"""
delete_tokenization_dictionary()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/tokenization_dictionary')
responses.add(responses.DELETE,
url,
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.delete_tokenization_dictionary(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_delete_tokenization_dictionary_value_error(self):
"""
test_delete_tokenization_dictionary_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/tokenization_dictionary')
responses.add(responses.DELETE,
url,
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_tokenization_dictionary(**req_copy)
class TestGetStopwordListStatus():
"""
Test Class for get_stopword_list_status
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_stopword_list_status_all_params(self):
"""
get_stopword_list_status()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/stopwords')
mock_response = '{"status": "active", "type": "type"}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.get_stopword_list_status(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_stopword_list_status_value_error(self):
"""
test_get_stopword_list_status_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/stopwords')
mock_response = '{"status": "active", "type": "type"}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_stopword_list_status(**req_copy)
class TestCreateStopwordList():
"""
Test Class for create_stopword_list
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_create_stopword_list_all_params(self):
"""
create_stopword_list()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/stopwords')
mock_response = '{"status": "active", "type": "type"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
stopword_file = io.BytesIO(b'This is a mock file.').getvalue()
stopword_filename = 'testString'
# Invoke method
response = service.create_stopword_list(
environment_id,
collection_id,
stopword_file,
stopword_filename=stopword_filename,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_create_stopword_list_required_params(self):
"""
test_create_stopword_list_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/stopwords')
mock_response = '{"status": "active", "type": "type"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
stopword_file = io.BytesIO(b'This is a mock file.').getvalue()
stopword_filename = 'testString'
# Invoke method
response = service.create_stopword_list(
environment_id,
collection_id,
stopword_file,
stopword_filename=stopword_filename,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_create_stopword_list_value_error(self):
"""
test_create_stopword_list_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/stopwords')
mock_response = '{"status": "active", "type": "type"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
stopword_file = io.BytesIO(b'This is a mock file.').getvalue()
stopword_filename = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"stopword_file": stopword_file,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.create_stopword_list(**req_copy)
class TestDeleteStopwordList():
"""
Test Class for delete_stopword_list
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_stopword_list_all_params(self):
"""
delete_stopword_list()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/stopwords')
responses.add(responses.DELETE,
url,
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.delete_stopword_list(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_delete_stopword_list_value_error(self):
"""
test_delete_stopword_list_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/word_lists/stopwords')
responses.add(responses.DELETE,
url,
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_stopword_list(**req_copy)
# endregion
##############################################################################
# End of Service: QueryModifications
##############################################################################
##############################################################################
# Start of Service: Documents
##############################################################################
# region
class TestAddDocument():
"""
Test Class for add_document
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_add_document_all_params(self):
"""
add_document()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/documents')
mock_response = '{"document_id": "document_id", "status": "processing", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=202)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
file = io.BytesIO(b'This is a mock file.').getvalue()
filename = 'testString'
file_content_type = 'application/json'
metadata = 'testString'
# Invoke method
response = service.add_document(
environment_id,
collection_id,
file=file,
filename=filename,
file_content_type=file_content_type,
metadata=metadata,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 202
@responses.activate
def test_add_document_required_params(self):
"""
test_add_document_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/documents')
mock_response = '{"document_id": "document_id", "status": "processing", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=202)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.add_document(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 202
@responses.activate
def test_add_document_value_error(self):
"""
test_add_document_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/documents')
mock_response = '{"document_id": "document_id", "status": "processing", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=202)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.add_document(**req_copy)
class TestGetDocumentStatus():
"""
Test Class for get_document_status
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_document_status_all_params(self):
"""
get_document_status()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/documents/testString')
mock_response = '{"document_id": "document_id", "configuration_id": "configuration_id", "status": "available", "status_description": "status_description", "filename": "filename", "file_type": "pdf", "sha1": "sha1", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
document_id = 'testString'
# Invoke method
response = service.get_document_status(
environment_id,
collection_id,
document_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_document_status_value_error(self):
"""
test_get_document_status_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/documents/testString')
mock_response = '{"document_id": "document_id", "configuration_id": "configuration_id", "status": "available", "status_description": "status_description", "filename": "filename", "file_type": "pdf", "sha1": "sha1", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
document_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"document_id": document_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_document_status(**req_copy)
class TestUpdateDocument():
"""
Test Class for update_document
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_update_document_all_params(self):
"""
update_document()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/documents/testString')
mock_response = '{"document_id": "document_id", "status": "processing", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=202)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
document_id = 'testString'
file = io.BytesIO(b'This is a mock file.').getvalue()
filename = 'testString'
file_content_type = 'application/json'
metadata = 'testString'
# Invoke method
response = service.update_document(
environment_id,
collection_id,
document_id,
file=file,
filename=filename,
file_content_type=file_content_type,
metadata=metadata,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 202
@responses.activate
def test_update_document_required_params(self):
"""
test_update_document_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/documents/testString')
mock_response = '{"document_id": "document_id", "status": "processing", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=202)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
document_id = 'testString'
# Invoke method
response = service.update_document(
environment_id,
collection_id,
document_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 202
@responses.activate
def test_update_document_value_error(self):
"""
test_update_document_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/documents/testString')
mock_response = '{"document_id": "document_id", "status": "processing", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=202)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
document_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"document_id": document_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.update_document(**req_copy)
class TestDeleteDocument():
"""
Test Class for delete_document
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_document_all_params(self):
"""
delete_document()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/documents/testString')
mock_response = '{"document_id": "document_id", "status": "deleted"}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
document_id = 'testString'
# Invoke method
response = service.delete_document(
environment_id,
collection_id,
document_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_delete_document_value_error(self):
"""
test_delete_document_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/documents/testString')
mock_response = '{"document_id": "document_id", "status": "deleted"}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
document_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"document_id": document_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_document(**req_copy)
# endregion
##############################################################################
# End of Service: Documents
##############################################################################
##############################################################################
# Start of Service: Queries
##############################################################################
# region
class TestQuery():
"""
Test Class for query
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_query_all_params(self):
"""
query()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/query')
mock_response = '{"matching_results": 16, "results": [{"id": "id", "metadata": {"mapKey": {"anyKey": "anyValue"}}, "collection_id": "collection_id", "result_metadata": {"score": 5, "confidence": 10}}], "aggregations": [{"type": "histogram", "matching_results": 16, "field": "field", "interval": 8}], "passages": [{"document_id": "document_id", "passage_score": 13, "passage_text": "passage_text", "start_offset": 12, "end_offset": 10, "field": "field"}], "duplicates_removed": 18, "session_token": "session_token", "retrieval_details": {"document_retrieval_strategy": "untrained"}, "suggested_query": "suggested_query"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
filter = 'testString'
query = 'testString'
natural_language_query = 'testString'
passages = True
aggregation = 'testString'
count = 38
return_ = 'testString'
offset = 38
sort = 'testString'
highlight = True
passages_fields = 'testString'
passages_count = 100
passages_characters = 50
deduplicate = True
deduplicate_field = 'testString'
similar = True
similar_document_ids = 'testString'
similar_fields = 'testString'
bias = 'testString'
spelling_suggestions = True
x_watson_logging_opt_out = True
# Invoke method
response = service.query(
environment_id,
collection_id,
filter=filter,
query=query,
natural_language_query=natural_language_query,
passages=passages,
aggregation=aggregation,
count=count,
return_=return_,
offset=offset,
sort=sort,
highlight=highlight,
passages_fields=passages_fields,
passages_count=passages_count,
passages_characters=passages_characters,
deduplicate=deduplicate,
deduplicate_field=deduplicate_field,
similar=similar,
similar_document_ids=similar_document_ids,
similar_fields=similar_fields,
bias=bias,
spelling_suggestions=spelling_suggestions,
x_watson_logging_opt_out=x_watson_logging_opt_out,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['filter'] == 'testString'
assert req_body['query'] == 'testString'
assert req_body['natural_language_query'] == 'testString'
assert req_body['passages'] == True
assert req_body['aggregation'] == 'testString'
assert req_body['count'] == 38
assert req_body['return'] == 'testString'
assert req_body['offset'] == 38
assert req_body['sort'] == 'testString'
assert req_body['highlight'] == True
assert req_body['passages.fields'] == 'testString'
assert req_body['passages.count'] == 100
assert req_body['passages.characters'] == 50
assert req_body['deduplicate'] == True
assert req_body['deduplicate.field'] == 'testString'
assert req_body['similar'] == True
assert req_body['similar.document_ids'] == 'testString'
assert req_body['similar.fields'] == 'testString'
assert req_body['bias'] == 'testString'
assert req_body['spelling_suggestions'] == True
@responses.activate
def test_query_required_params(self):
"""
test_query_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/query')
mock_response = '{"matching_results": 16, "results": [{"id": "id", "metadata": {"mapKey": {"anyKey": "anyValue"}}, "collection_id": "collection_id", "result_metadata": {"score": 5, "confidence": 10}}], "aggregations": [{"type": "histogram", "matching_results": 16, "field": "field", "interval": 8}], "passages": [{"document_id": "document_id", "passage_score": 13, "passage_text": "passage_text", "start_offset": 12, "end_offset": 10, "field": "field"}], "duplicates_removed": 18, "session_token": "session_token", "retrieval_details": {"document_retrieval_strategy": "untrained"}, "suggested_query": "suggested_query"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.query(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_query_value_error(self):
"""
test_query_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/query')
mock_response = '{"matching_results": 16, "results": [{"id": "id", "metadata": {"mapKey": {"anyKey": "anyValue"}}, "collection_id": "collection_id", "result_metadata": {"score": 5, "confidence": 10}}], "aggregations": [{"type": "histogram", "matching_results": 16, "field": "field", "interval": 8}], "passages": [{"document_id": "document_id", "passage_score": 13, "passage_text": "passage_text", "start_offset": 12, "end_offset": 10, "field": "field"}], "duplicates_removed": 18, "session_token": "session_token", "retrieval_details": {"document_retrieval_strategy": "untrained"}, "suggested_query": "suggested_query"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.query(**req_copy)
class TestQueryNotices():
"""
Test Class for query_notices
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_query_notices_all_params(self):
"""
query_notices()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/notices')
mock_response = '{"matching_results": 16, "results": [{"id": "id", "metadata": {"mapKey": {"anyKey": "anyValue"}}, "collection_id": "collection_id", "result_metadata": {"score": 5, "confidence": 10}, "code": 4, "filename": "filename", "file_type": "pdf", "sha1": "sha1", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}], "aggregations": [{"type": "histogram", "matching_results": 16, "field": "field", "interval": 8}], "passages": [{"document_id": "document_id", "passage_score": 13, "passage_text": "passage_text", "start_offset": 12, "end_offset": 10, "field": "field"}], "duplicates_removed": 18}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
filter = 'testString'
query = 'testString'
natural_language_query = 'testString'
passages = True
aggregation = 'testString'
count = 38
return_ = ['testString']
offset = 38
sort = ['testString']
highlight = True
passages_fields = ['testString']
passages_count = 100
passages_characters = 50
deduplicate_field = 'testString'
similar = True
similar_document_ids = ['testString']
similar_fields = ['testString']
# Invoke method
response = service.query_notices(
environment_id,
collection_id,
filter=filter,
query=query,
natural_language_query=natural_language_query,
passages=passages,
aggregation=aggregation,
count=count,
return_=return_,
offset=offset,
sort=sort,
highlight=highlight,
passages_fields=passages_fields,
passages_count=passages_count,
passages_characters=passages_characters,
deduplicate_field=deduplicate_field,
similar=similar,
similar_document_ids=similar_document_ids,
similar_fields=similar_fields,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'filter={}'.format(filter) in query_string
assert 'query={}'.format(query) in query_string
assert 'natural_language_query={}'.format(natural_language_query) in query_string
assert 'passages={}'.format('true' if passages else 'false') in query_string
assert 'aggregation={}'.format(aggregation) in query_string
assert 'count={}'.format(count) in query_string
assert 'return={}'.format(','.join(return_)) in query_string
assert 'offset={}'.format(offset) in query_string
assert 'sort={}'.format(','.join(sort)) in query_string
assert 'highlight={}'.format('true' if highlight else 'false') in query_string
assert 'passages.fields={}'.format(','.join(passages_fields)) in query_string
assert 'passages.count={}'.format(passages_count) in query_string
assert 'passages.characters={}'.format(passages_characters) in query_string
assert 'deduplicate.field={}'.format(deduplicate_field) in query_string
assert 'similar={}'.format('true' if similar else 'false') in query_string
assert 'similar.document_ids={}'.format(','.join(similar_document_ids)) in query_string
assert 'similar.fields={}'.format(','.join(similar_fields)) in query_string
@responses.activate
def test_query_notices_required_params(self):
"""
test_query_notices_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/notices')
mock_response = '{"matching_results": 16, "results": [{"id": "id", "metadata": {"mapKey": {"anyKey": "anyValue"}}, "collection_id": "collection_id", "result_metadata": {"score": 5, "confidence": 10}, "code": 4, "filename": "filename", "file_type": "pdf", "sha1": "sha1", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}], "aggregations": [{"type": "histogram", "matching_results": 16, "field": "field", "interval": 8}], "passages": [{"document_id": "document_id", "passage_score": 13, "passage_text": "passage_text", "start_offset": 12, "end_offset": 10, "field": "field"}], "duplicates_removed": 18}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.query_notices(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_query_notices_value_error(self):
"""
test_query_notices_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/notices')
mock_response = '{"matching_results": 16, "results": [{"id": "id", "metadata": {"mapKey": {"anyKey": "anyValue"}}, "collection_id": "collection_id", "result_metadata": {"score": 5, "confidence": 10}, "code": 4, "filename": "filename", "file_type": "pdf", "sha1": "sha1", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}], "aggregations": [{"type": "histogram", "matching_results": 16, "field": "field", "interval": 8}], "passages": [{"document_id": "document_id", "passage_score": 13, "passage_text": "passage_text", "start_offset": 12, "end_offset": 10, "field": "field"}], "duplicates_removed": 18}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.query_notices(**req_copy)
class TestFederatedQuery():
"""
Test Class for federated_query
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_federated_query_all_params(self):
"""
federated_query()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/query')
mock_response = '{"matching_results": 16, "results": [{"id": "id", "metadata": {"mapKey": {"anyKey": "anyValue"}}, "collection_id": "collection_id", "result_metadata": {"score": 5, "confidence": 10}}], "aggregations": [{"type": "histogram", "matching_results": 16, "field": "field", "interval": 8}], "passages": [{"document_id": "document_id", "passage_score": 13, "passage_text": "passage_text", "start_offset": 12, "end_offset": 10, "field": "field"}], "duplicates_removed": 18, "session_token": "session_token", "retrieval_details": {"document_retrieval_strategy": "untrained"}, "suggested_query": "suggested_query"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_ids = 'testString'
filter = 'testString'
query = 'testString'
natural_language_query = 'testString'
passages = True
aggregation = 'testString'
count = 38
return_ = 'testString'
offset = 38
sort = 'testString'
highlight = True
passages_fields = 'testString'
passages_count = 100
passages_characters = 50
deduplicate = True
deduplicate_field = 'testString'
similar = True
similar_document_ids = 'testString'
similar_fields = 'testString'
bias = 'testString'
x_watson_logging_opt_out = True
# Invoke method
response = service.federated_query(
environment_id,
collection_ids,
filter=filter,
query=query,
natural_language_query=natural_language_query,
passages=passages,
aggregation=aggregation,
count=count,
return_=return_,
offset=offset,
sort=sort,
highlight=highlight,
passages_fields=passages_fields,
passages_count=passages_count,
passages_characters=passages_characters,
deduplicate=deduplicate,
deduplicate_field=deduplicate_field,
similar=similar,
similar_document_ids=similar_document_ids,
similar_fields=similar_fields,
bias=bias,
x_watson_logging_opt_out=x_watson_logging_opt_out,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['collection_ids'] == 'testString'
assert req_body['filter'] == 'testString'
assert req_body['query'] == 'testString'
assert req_body['natural_language_query'] == 'testString'
assert req_body['passages'] == True
assert req_body['aggregation'] == 'testString'
assert req_body['count'] == 38
assert req_body['return'] == 'testString'
assert req_body['offset'] == 38
assert req_body['sort'] == 'testString'
assert req_body['highlight'] == True
assert req_body['passages.fields'] == 'testString'
assert req_body['passages.count'] == 100
assert req_body['passages.characters'] == 50
assert req_body['deduplicate'] == True
assert req_body['deduplicate.field'] == 'testString'
assert req_body['similar'] == True
assert req_body['similar.document_ids'] == 'testString'
assert req_body['similar.fields'] == 'testString'
assert req_body['bias'] == 'testString'
@responses.activate
def test_federated_query_required_params(self):
"""
test_federated_query_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/query')
mock_response = '{"matching_results": 16, "results": [{"id": "id", "metadata": {"mapKey": {"anyKey": "anyValue"}}, "collection_id": "collection_id", "result_metadata": {"score": 5, "confidence": 10}}], "aggregations": [{"type": "histogram", "matching_results": 16, "field": "field", "interval": 8}], "passages": [{"document_id": "document_id", "passage_score": 13, "passage_text": "passage_text", "start_offset": 12, "end_offset": 10, "field": "field"}], "duplicates_removed": 18, "session_token": "session_token", "retrieval_details": {"document_retrieval_strategy": "untrained"}, "suggested_query": "suggested_query"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_ids = 'testString'
filter = 'testString'
query = 'testString'
natural_language_query = 'testString'
passages = True
aggregation = 'testString'
count = 38
return_ = 'testString'
offset = 38
sort = 'testString'
highlight = True
passages_fields = 'testString'
passages_count = 100
passages_characters = 50
deduplicate = True
deduplicate_field = 'testString'
similar = True
similar_document_ids = 'testString'
similar_fields = 'testString'
bias = 'testString'
# Invoke method
response = service.federated_query(
environment_id,
collection_ids,
filter=filter,
query=query,
natural_language_query=natural_language_query,
passages=passages,
aggregation=aggregation,
count=count,
return_=return_,
offset=offset,
sort=sort,
highlight=highlight,
passages_fields=passages_fields,
passages_count=passages_count,
passages_characters=passages_characters,
deduplicate=deduplicate,
deduplicate_field=deduplicate_field,
similar=similar,
similar_document_ids=similar_document_ids,
similar_fields=similar_fields,
bias=bias,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['collection_ids'] == 'testString'
assert req_body['filter'] == 'testString'
assert req_body['query'] == 'testString'
assert req_body['natural_language_query'] == 'testString'
assert req_body['passages'] == True
assert req_body['aggregation'] == 'testString'
assert req_body['count'] == 38
assert req_body['return'] == 'testString'
assert req_body['offset'] == 38
assert req_body['sort'] == 'testString'
assert req_body['highlight'] == True
assert req_body['passages.fields'] == 'testString'
assert req_body['passages.count'] == 100
assert req_body['passages.characters'] == 50
assert req_body['deduplicate'] == True
assert req_body['deduplicate.field'] == 'testString'
assert req_body['similar'] == True
assert req_body['similar.document_ids'] == 'testString'
assert req_body['similar.fields'] == 'testString'
assert req_body['bias'] == 'testString'
@responses.activate
def test_federated_query_value_error(self):
"""
test_federated_query_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/query')
mock_response = '{"matching_results": 16, "results": [{"id": "id", "metadata": {"mapKey": {"anyKey": "anyValue"}}, "collection_id": "collection_id", "result_metadata": {"score": 5, "confidence": 10}}], "aggregations": [{"type": "histogram", "matching_results": 16, "field": "field", "interval": 8}], "passages": [{"document_id": "document_id", "passage_score": 13, "passage_text": "passage_text", "start_offset": 12, "end_offset": 10, "field": "field"}], "duplicates_removed": 18, "session_token": "session_token", "retrieval_details": {"document_retrieval_strategy": "untrained"}, "suggested_query": "suggested_query"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_ids = 'testString'
filter = 'testString'
query = 'testString'
natural_language_query = 'testString'
passages = True
aggregation = 'testString'
count = 38
return_ = 'testString'
offset = 38
sort = 'testString'
highlight = True
passages_fields = 'testString'
passages_count = 100
passages_characters = 50
deduplicate = True
deduplicate_field = 'testString'
similar = True
similar_document_ids = 'testString'
similar_fields = 'testString'
bias = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_ids": collection_ids,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.federated_query(**req_copy)
class TestFederatedQueryNotices():
"""
Test Class for federated_query_notices
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_federated_query_notices_all_params(self):
"""
federated_query_notices()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/notices')
mock_response = '{"matching_results": 16, "results": [{"id": "id", "metadata": {"mapKey": {"anyKey": "anyValue"}}, "collection_id": "collection_id", "result_metadata": {"score": 5, "confidence": 10}, "code": 4, "filename": "filename", "file_type": "pdf", "sha1": "sha1", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}], "aggregations": [{"type": "histogram", "matching_results": 16, "field": "field", "interval": 8}], "passages": [{"document_id": "document_id", "passage_score": 13, "passage_text": "passage_text", "start_offset": 12, "end_offset": 10, "field": "field"}], "duplicates_removed": 18}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_ids = ['testString']
filter = 'testString'
query = 'testString'
natural_language_query = 'testString'
aggregation = 'testString'
count = 38
return_ = ['testString']
offset = 38
sort = ['testString']
highlight = True
deduplicate_field = 'testString'
similar = True
similar_document_ids = ['testString']
similar_fields = ['testString']
# Invoke method
response = service.federated_query_notices(
environment_id,
collection_ids,
filter=filter,
query=query,
natural_language_query=natural_language_query,
aggregation=aggregation,
count=count,
return_=return_,
offset=offset,
sort=sort,
highlight=highlight,
deduplicate_field=deduplicate_field,
similar=similar,
similar_document_ids=similar_document_ids,
similar_fields=similar_fields,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'collection_ids={}'.format(','.join(collection_ids)) in query_string
assert 'filter={}'.format(filter) in query_string
assert 'query={}'.format(query) in query_string
assert 'natural_language_query={}'.format(natural_language_query) in query_string
assert 'aggregation={}'.format(aggregation) in query_string
assert 'count={}'.format(count) in query_string
assert 'return={}'.format(','.join(return_)) in query_string
assert 'offset={}'.format(offset) in query_string
assert 'sort={}'.format(','.join(sort)) in query_string
assert 'highlight={}'.format('true' if highlight else 'false') in query_string
assert 'deduplicate.field={}'.format(deduplicate_field) in query_string
assert 'similar={}'.format('true' if similar else 'false') in query_string
assert 'similar.document_ids={}'.format(','.join(similar_document_ids)) in query_string
assert 'similar.fields={}'.format(','.join(similar_fields)) in query_string
@responses.activate
def test_federated_query_notices_required_params(self):
"""
test_federated_query_notices_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/notices')
mock_response = '{"matching_results": 16, "results": [{"id": "id", "metadata": {"mapKey": {"anyKey": "anyValue"}}, "collection_id": "collection_id", "result_metadata": {"score": 5, "confidence": 10}, "code": 4, "filename": "filename", "file_type": "pdf", "sha1": "sha1", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}], "aggregations": [{"type": "histogram", "matching_results": 16, "field": "field", "interval": 8}], "passages": [{"document_id": "document_id", "passage_score": 13, "passage_text": "passage_text", "start_offset": 12, "end_offset": 10, "field": "field"}], "duplicates_removed": 18}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_ids = ['testString']
# Invoke method
response = service.federated_query_notices(
environment_id,
collection_ids,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'collection_ids={}'.format(','.join(collection_ids)) in query_string
@responses.activate
def test_federated_query_notices_value_error(self):
"""
test_federated_query_notices_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/notices')
mock_response = '{"matching_results": 16, "results": [{"id": "id", "metadata": {"mapKey": {"anyKey": "anyValue"}}, "collection_id": "collection_id", "result_metadata": {"score": 5, "confidence": 10}, "code": 4, "filename": "filename", "file_type": "pdf", "sha1": "sha1", "notices": [{"notice_id": "notice_id", "created": "2019-01-01T12:00:00", "document_id": "document_id", "query_id": "query_id", "severity": "warning", "step": "step", "description": "description"}]}], "aggregations": [{"type": "histogram", "matching_results": 16, "field": "field", "interval": 8}], "passages": [{"document_id": "document_id", "passage_score": 13, "passage_text": "passage_text", "start_offset": 12, "end_offset": 10, "field": "field"}], "duplicates_removed": 18}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_ids = ['testString']
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_ids": collection_ids,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.federated_query_notices(**req_copy)
class TestGetAutocompletion():
"""
Test Class for get_autocompletion
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_autocompletion_all_params(self):
"""
get_autocompletion()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/autocompletion')
mock_response = '{"completions": ["completions"]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
prefix = 'testString'
field = 'testString'
count = 38
# Invoke method
response = service.get_autocompletion(
environment_id,
collection_id,
prefix,
field=field,
count=count,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'prefix={}'.format(prefix) in query_string
assert 'field={}'.format(field) in query_string
assert 'count={}'.format(count) in query_string
@responses.activate
def test_get_autocompletion_required_params(self):
"""
test_get_autocompletion_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/autocompletion')
mock_response = '{"completions": ["completions"]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
prefix = 'testString'
# Invoke method
response = service.get_autocompletion(
environment_id,
collection_id,
prefix,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'prefix={}'.format(prefix) in query_string
@responses.activate
def test_get_autocompletion_value_error(self):
"""
test_get_autocompletion_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/autocompletion')
mock_response = '{"completions": ["completions"]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
prefix = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"prefix": prefix,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_autocompletion(**req_copy)
# endregion
##############################################################################
# End of Service: Queries
##############################################################################
##############################################################################
# Start of Service: TrainingData
##############################################################################
# region
class TestListTrainingData():
"""
Test Class for list_training_data
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_list_training_data_all_params(self):
"""
list_training_data()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data')
mock_response = '{"environment_id": "environment_id", "collection_id": "collection_id", "queries": [{"query_id": "query_id", "natural_language_query": "natural_language_query", "filter": "filter", "examples": [{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.list_training_data(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_list_training_data_value_error(self):
"""
test_list_training_data_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data')
mock_response = '{"environment_id": "environment_id", "collection_id": "collection_id", "queries": [{"query_id": "query_id", "natural_language_query": "natural_language_query", "filter": "filter", "examples": [{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.list_training_data(**req_copy)
class TestAddTrainingData():
"""
Test Class for add_training_data
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_add_training_data_all_params(self):
"""
add_training_data()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data')
mock_response = '{"query_id": "query_id", "natural_language_query": "natural_language_query", "filter": "filter", "examples": [{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}]}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a TrainingExample model
training_example_model = {}
training_example_model['document_id'] = 'testString'
training_example_model['cross_reference'] = 'testString'
training_example_model['relevance'] = 38
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
natural_language_query = 'testString'
filter = 'testString'
examples = [training_example_model]
# Invoke method
response = service.add_training_data(
environment_id,
collection_id,
natural_language_query=natural_language_query,
filter=filter,
examples=examples,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['natural_language_query'] == 'testString'
assert req_body['filter'] == 'testString'
assert req_body['examples'] == [training_example_model]
@responses.activate
def test_add_training_data_value_error(self):
"""
test_add_training_data_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data')
mock_response = '{"query_id": "query_id", "natural_language_query": "natural_language_query", "filter": "filter", "examples": [{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}]}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a TrainingExample model
training_example_model = {}
training_example_model['document_id'] = 'testString'
training_example_model['cross_reference'] = 'testString'
training_example_model['relevance'] = 38
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
natural_language_query = 'testString'
filter = 'testString'
examples = [training_example_model]
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.add_training_data(**req_copy)
class TestDeleteAllTrainingData():
"""
Test Class for delete_all_training_data
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_all_training_data_all_params(self):
"""
delete_all_training_data()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data')
responses.add(responses.DELETE,
url,
status=204)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Invoke method
response = service.delete_all_training_data(
environment_id,
collection_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 204
@responses.activate
def test_delete_all_training_data_value_error(self):
"""
test_delete_all_training_data_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data')
responses.add(responses.DELETE,
url,
status=204)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_all_training_data(**req_copy)
class TestGetTrainingData():
"""
Test Class for get_training_data
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_training_data_all_params(self):
"""
get_training_data()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString')
mock_response = '{"query_id": "query_id", "natural_language_query": "natural_language_query", "filter": "filter", "examples": [{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
# Invoke method
response = service.get_training_data(
environment_id,
collection_id,
query_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_training_data_value_error(self):
"""
test_get_training_data_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString')
mock_response = '{"query_id": "query_id", "natural_language_query": "natural_language_query", "filter": "filter", "examples": [{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"query_id": query_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_training_data(**req_copy)
class TestDeleteTrainingData():
"""
Test Class for delete_training_data
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_training_data_all_params(self):
"""
delete_training_data()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString')
responses.add(responses.DELETE,
url,
status=204)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
# Invoke method
response = service.delete_training_data(
environment_id,
collection_id,
query_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 204
@responses.activate
def test_delete_training_data_value_error(self):
"""
test_delete_training_data_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString')
responses.add(responses.DELETE,
url,
status=204)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"query_id": query_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_training_data(**req_copy)
class TestListTrainingExamples():
"""
Test Class for list_training_examples
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_list_training_examples_all_params(self):
"""
list_training_examples()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString/examples')
mock_response = '{"examples": [{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
# Invoke method
response = service.list_training_examples(
environment_id,
collection_id,
query_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_list_training_examples_value_error(self):
"""
test_list_training_examples_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString/examples')
mock_response = '{"examples": [{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"query_id": query_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.list_training_examples(**req_copy)
class TestCreateTrainingExample():
"""
Test Class for create_training_example
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_create_training_example_all_params(self):
"""
create_training_example()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString/examples')
mock_response = '{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=201)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
document_id = 'testString'
cross_reference = 'testString'
relevance = 38
# Invoke method
response = service.create_training_example(
environment_id,
collection_id,
query_id,
document_id=document_id,
cross_reference=cross_reference,
relevance=relevance,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 201
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['document_id'] == 'testString'
assert req_body['cross_reference'] == 'testString'
assert req_body['relevance'] == 38
@responses.activate
def test_create_training_example_value_error(self):
"""
test_create_training_example_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString/examples')
mock_response = '{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=201)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
document_id = 'testString'
cross_reference = 'testString'
relevance = 38
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"query_id": query_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.create_training_example(**req_copy)
class TestDeleteTrainingExample():
"""
Test Class for delete_training_example
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_training_example_all_params(self):
"""
delete_training_example()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString/examples/testString')
responses.add(responses.DELETE,
url,
status=204)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
example_id = 'testString'
# Invoke method
response = service.delete_training_example(
environment_id,
collection_id,
query_id,
example_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 204
@responses.activate
def test_delete_training_example_value_error(self):
"""
test_delete_training_example_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString/examples/testString')
responses.add(responses.DELETE,
url,
status=204)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
example_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"query_id": query_id,
"example_id": example_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_training_example(**req_copy)
class TestUpdateTrainingExample():
"""
Test Class for update_training_example
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_update_training_example_all_params(self):
"""
update_training_example()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString/examples/testString')
mock_response = '{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
example_id = 'testString'
cross_reference = 'testString'
relevance = 38
# Invoke method
response = service.update_training_example(
environment_id,
collection_id,
query_id,
example_id,
cross_reference=cross_reference,
relevance=relevance,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['cross_reference'] == 'testString'
assert req_body['relevance'] == 38
@responses.activate
def test_update_training_example_value_error(self):
"""
test_update_training_example_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString/examples/testString')
mock_response = '{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
example_id = 'testString'
cross_reference = 'testString'
relevance = 38
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"query_id": query_id,
"example_id": example_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.update_training_example(**req_copy)
class TestGetTrainingExample():
"""
Test Class for get_training_example
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_training_example_all_params(self):
"""
get_training_example()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString/examples/testString')
mock_response = '{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
example_id = 'testString'
# Invoke method
response = service.get_training_example(
environment_id,
collection_id,
query_id,
example_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_training_example_value_error(self):
"""
test_get_training_example_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/collections/testString/training_data/testString/examples/testString')
mock_response = '{"document_id": "document_id", "cross_reference": "cross_reference", "relevance": 9}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
collection_id = 'testString'
query_id = 'testString'
example_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"collection_id": collection_id,
"query_id": query_id,
"example_id": example_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_training_example(**req_copy)
# endregion
##############################################################################
# End of Service: TrainingData
##############################################################################
##############################################################################
# Start of Service: UserData
##############################################################################
# region
class TestDeleteUserData():
"""
Test Class for delete_user_data
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_user_data_all_params(self):
"""
delete_user_data()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/user_data')
responses.add(responses.DELETE,
url,
status=200)
# Set up parameter values
customer_id = 'testString'
# Invoke method
response = service.delete_user_data(
customer_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'customer_id={}'.format(customer_id) in query_string
@responses.activate
def test_delete_user_data_value_error(self):
"""
test_delete_user_data_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/user_data')
responses.add(responses.DELETE,
url,
status=200)
# Set up parameter values
customer_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"customer_id": customer_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_user_data(**req_copy)
# endregion
##############################################################################
# End of Service: UserData
##############################################################################
##############################################################################
# Start of Service: EventsAndFeedback
##############################################################################
# region
class TestCreateEvent():
"""
Test Class for create_event
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_create_event_all_params(self):
"""
create_event()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/events')
mock_response = '{"type": "click", "data": {"environment_id": "environment_id", "session_token": "session_token", "client_timestamp": "2019-01-01T12:00:00", "display_rank": 12, "collection_id": "collection_id", "document_id": "document_id", "query_id": "query_id"}}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=201)
# Construct a dict representation of a EventData model
event_data_model = {}
event_data_model['environment_id'] = 'testString'
event_data_model['session_token'] = 'testString'
event_data_model['client_timestamp'] = '2020-01-28T18:40:40.123456Z'
event_data_model['display_rank'] = 38
event_data_model['collection_id'] = 'testString'
event_data_model['document_id'] = 'testString'
# Set up parameter values
type = 'click'
data = event_data_model
# Invoke method
response = service.create_event(
type,
data,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 201
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['type'] == 'click'
assert req_body['data'] == event_data_model
@responses.activate
def test_create_event_value_error(self):
"""
test_create_event_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/events')
mock_response = '{"type": "click", "data": {"environment_id": "environment_id", "session_token": "session_token", "client_timestamp": "2019-01-01T12:00:00", "display_rank": 12, "collection_id": "collection_id", "document_id": "document_id", "query_id": "query_id"}}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=201)
# Construct a dict representation of a EventData model
event_data_model = {}
event_data_model['environment_id'] = 'testString'
event_data_model['session_token'] = 'testString'
event_data_model['client_timestamp'] = '2020-01-28T18:40:40.123456Z'
event_data_model['display_rank'] = 38
event_data_model['collection_id'] = 'testString'
event_data_model['document_id'] = 'testString'
# Set up parameter values
type = 'click'
data = event_data_model
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"type": type,
"data": data,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.create_event(**req_copy)
class TestQueryLog():
"""
Test Class for query_log
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_query_log_all_params(self):
"""
query_log()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/logs')
mock_response = '{"matching_results": 16, "results": [{"environment_id": "environment_id", "customer_id": "customer_id", "document_type": "query", "natural_language_query": "natural_language_query", "document_results": {"results": [{"position": 8, "document_id": "document_id", "score": 5, "confidence": 10, "collection_id": "collection_id"}], "count": 5}, "created_timestamp": "2019-01-01T12:00:00", "client_timestamp": "2019-01-01T12:00:00", "query_id": "query_id", "session_token": "session_token", "collection_id": "collection_id", "display_rank": 12, "document_id": "document_id", "event_type": "click", "result_type": "document"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
filter = 'testString'
query = 'testString'
count = 38
offset = 38
sort = ['testString']
# Invoke method
response = service.query_log(
filter=filter,
query=query,
count=count,
offset=offset,
sort=sort,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'filter={}'.format(filter) in query_string
assert 'query={}'.format(query) in query_string
assert 'count={}'.format(count) in query_string
assert 'offset={}'.format(offset) in query_string
assert 'sort={}'.format(','.join(sort)) in query_string
@responses.activate
def test_query_log_required_params(self):
"""
test_query_log_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/logs')
mock_response = '{"matching_results": 16, "results": [{"environment_id": "environment_id", "customer_id": "customer_id", "document_type": "query", "natural_language_query": "natural_language_query", "document_results": {"results": [{"position": 8, "document_id": "document_id", "score": 5, "confidence": 10, "collection_id": "collection_id"}], "count": 5}, "created_timestamp": "2019-01-01T12:00:00", "client_timestamp": "2019-01-01T12:00:00", "query_id": "query_id", "session_token": "session_token", "collection_id": "collection_id", "display_rank": 12, "document_id": "document_id", "event_type": "click", "result_type": "document"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Invoke method
response = service.query_log()
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_query_log_value_error(self):
"""
test_query_log_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/logs')
mock_response = '{"matching_results": 16, "results": [{"environment_id": "environment_id", "customer_id": "customer_id", "document_type": "query", "natural_language_query": "natural_language_query", "document_results": {"results": [{"position": 8, "document_id": "document_id", "score": 5, "confidence": 10, "collection_id": "collection_id"}], "count": 5}, "created_timestamp": "2019-01-01T12:00:00", "client_timestamp": "2019-01-01T12:00:00", "query_id": "query_id", "session_token": "session_token", "collection_id": "collection_id", "display_rank": 12, "document_id": "document_id", "event_type": "click", "result_type": "document"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Pass in all but one required param and check for a ValueError
req_param_dict = {
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.query_log(**req_copy)
class TestGetMetricsQuery():
"""
Test Class for get_metrics_query
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_metrics_query_all_params(self):
"""
get_metrics_query()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/number_of_queries')
mock_response = '{"aggregations": [{"interval": "interval", "event_type": "event_type", "results": [{"key_as_string": "2019-01-01T12:00:00", "key": 3, "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
start_time = datetime.fromtimestamp(1580236840.123456, timezone.utc)
end_time = datetime.fromtimestamp(1580236840.123456, timezone.utc)
result_type = 'document'
# Invoke method
response = service.get_metrics_query(
start_time=start_time,
end_time=end_time,
result_type=result_type,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'result_type={}'.format(result_type) in query_string
@responses.activate
def test_get_metrics_query_required_params(self):
"""
test_get_metrics_query_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/number_of_queries')
mock_response = '{"aggregations": [{"interval": "interval", "event_type": "event_type", "results": [{"key_as_string": "2019-01-01T12:00:00", "key": 3, "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Invoke method
response = service.get_metrics_query()
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_metrics_query_value_error(self):
"""
test_get_metrics_query_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/number_of_queries')
mock_response = '{"aggregations": [{"interval": "interval", "event_type": "event_type", "results": [{"key_as_string": "2019-01-01T12:00:00", "key": 3, "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Pass in all but one required param and check for a ValueError
req_param_dict = {
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_metrics_query(**req_copy)
class TestGetMetricsQueryEvent():
"""
Test Class for get_metrics_query_event
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_metrics_query_event_all_params(self):
"""
get_metrics_query_event()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/number_of_queries_with_event')
mock_response = '{"aggregations": [{"interval": "interval", "event_type": "event_type", "results": [{"key_as_string": "2019-01-01T12:00:00", "key": 3, "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
start_time = datetime.fromtimestamp(1580236840.123456, timezone.utc)
end_time = datetime.fromtimestamp(1580236840.123456, timezone.utc)
result_type = 'document'
# Invoke method
response = service.get_metrics_query_event(
start_time=start_time,
end_time=end_time,
result_type=result_type,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'result_type={}'.format(result_type) in query_string
@responses.activate
def test_get_metrics_query_event_required_params(self):
"""
test_get_metrics_query_event_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/number_of_queries_with_event')
mock_response = '{"aggregations": [{"interval": "interval", "event_type": "event_type", "results": [{"key_as_string": "2019-01-01T12:00:00", "key": 3, "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Invoke method
response = service.get_metrics_query_event()
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_metrics_query_event_value_error(self):
"""
test_get_metrics_query_event_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/number_of_queries_with_event')
mock_response = '{"aggregations": [{"interval": "interval", "event_type": "event_type", "results": [{"key_as_string": "2019-01-01T12:00:00", "key": 3, "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Pass in all but one required param and check for a ValueError
req_param_dict = {
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_metrics_query_event(**req_copy)
class TestGetMetricsQueryNoResults():
"""
Test Class for get_metrics_query_no_results
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_metrics_query_no_results_all_params(self):
"""
get_metrics_query_no_results()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/number_of_queries_with_no_search_results')
mock_response = '{"aggregations": [{"interval": "interval", "event_type": "event_type", "results": [{"key_as_string": "2019-01-01T12:00:00", "key": 3, "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
start_time = datetime.fromtimestamp(1580236840.123456, timezone.utc)
end_time = datetime.fromtimestamp(1580236840.123456, timezone.utc)
result_type = 'document'
# Invoke method
response = service.get_metrics_query_no_results(
start_time=start_time,
end_time=end_time,
result_type=result_type,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'result_type={}'.format(result_type) in query_string
@responses.activate
def test_get_metrics_query_no_results_required_params(self):
"""
test_get_metrics_query_no_results_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/number_of_queries_with_no_search_results')
mock_response = '{"aggregations": [{"interval": "interval", "event_type": "event_type", "results": [{"key_as_string": "2019-01-01T12:00:00", "key": 3, "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Invoke method
response = service.get_metrics_query_no_results()
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_metrics_query_no_results_value_error(self):
"""
test_get_metrics_query_no_results_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/number_of_queries_with_no_search_results')
mock_response = '{"aggregations": [{"interval": "interval", "event_type": "event_type", "results": [{"key_as_string": "2019-01-01T12:00:00", "key": 3, "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Pass in all but one required param and check for a ValueError
req_param_dict = {
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_metrics_query_no_results(**req_copy)
class TestGetMetricsEventRate():
"""
Test Class for get_metrics_event_rate
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_metrics_event_rate_all_params(self):
"""
get_metrics_event_rate()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/event_rate')
mock_response = '{"aggregations": [{"interval": "interval", "event_type": "event_type", "results": [{"key_as_string": "2019-01-01T12:00:00", "key": 3, "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
start_time = datetime.fromtimestamp(1580236840.123456, timezone.utc)
end_time = datetime.fromtimestamp(1580236840.123456, timezone.utc)
result_type = 'document'
# Invoke method
response = service.get_metrics_event_rate(
start_time=start_time,
end_time=end_time,
result_type=result_type,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'result_type={}'.format(result_type) in query_string
@responses.activate
def test_get_metrics_event_rate_required_params(self):
"""
test_get_metrics_event_rate_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/event_rate')
mock_response = '{"aggregations": [{"interval": "interval", "event_type": "event_type", "results": [{"key_as_string": "2019-01-01T12:00:00", "key": 3, "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Invoke method
response = service.get_metrics_event_rate()
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_metrics_event_rate_value_error(self):
"""
test_get_metrics_event_rate_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/event_rate')
mock_response = '{"aggregations": [{"interval": "interval", "event_type": "event_type", "results": [{"key_as_string": "2019-01-01T12:00:00", "key": 3, "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Pass in all but one required param and check for a ValueError
req_param_dict = {
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_metrics_event_rate(**req_copy)
class TestGetMetricsQueryTokenEvent():
"""
Test Class for get_metrics_query_token_event
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_metrics_query_token_event_all_params(self):
"""
get_metrics_query_token_event()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/top_query_tokens_with_event_rate')
mock_response = '{"aggregations": [{"event_type": "event_type", "results": [{"key": "key", "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
count = 38
# Invoke method
response = service.get_metrics_query_token_event(
count=count,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate query params
query_string = responses.calls[0].request.url.split('?',1)[1]
query_string = urllib.parse.unquote_plus(query_string)
assert 'count={}'.format(count) in query_string
@responses.activate
def test_get_metrics_query_token_event_required_params(self):
"""
test_get_metrics_query_token_event_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/top_query_tokens_with_event_rate')
mock_response = '{"aggregations": [{"event_type": "event_type", "results": [{"key": "key", "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Invoke method
response = service.get_metrics_query_token_event()
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_metrics_query_token_event_value_error(self):
"""
test_get_metrics_query_token_event_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/metrics/top_query_tokens_with_event_rate')
mock_response = '{"aggregations": [{"event_type": "event_type", "results": [{"key": "key", "matching_results": 16, "event_rate": 10}]}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Pass in all but one required param and check for a ValueError
req_param_dict = {
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_metrics_query_token_event(**req_copy)
# endregion
##############################################################################
# End of Service: EventsAndFeedback
##############################################################################
##############################################################################
# Start of Service: Credentials
##############################################################################
# region
class TestListCredentials():
"""
Test Class for list_credentials
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_list_credentials_all_params(self):
"""
list_credentials()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/credentials')
mock_response = '{"credentials": [{"credential_id": "credential_id", "source_type": "box", "credential_details": {"credential_type": "oauth2", "client_id": "client_id", "enterprise_id": "enterprise_id", "url": "url", "username": "username", "organization_url": "organization_url", "site_collection.path": "site_collection_path", "client_secret": "client_secret", "public_key_id": "public_key_id", "private_key": "private_key", "passphrase": "passphrase", "password": "password", "gateway_id": "gateway_id", "source_version": "online", "web_application_url": "web_application_url", "domain": "domain", "endpoint": "endpoint", "access_key_id": "access_key_id", "secret_access_key": "secret_access_key"}, "status": "connected"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Invoke method
response = service.list_credentials(
environment_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_list_credentials_value_error(self):
"""
test_list_credentials_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/credentials')
mock_response = '{"credentials": [{"credential_id": "credential_id", "source_type": "box", "credential_details": {"credential_type": "oauth2", "client_id": "client_id", "enterprise_id": "enterprise_id", "url": "url", "username": "username", "organization_url": "organization_url", "site_collection.path": "site_collection_path", "client_secret": "client_secret", "public_key_id": "public_key_id", "private_key": "private_key", "passphrase": "passphrase", "password": "password", "gateway_id": "gateway_id", "source_version": "online", "web_application_url": "web_application_url", "domain": "domain", "endpoint": "endpoint", "access_key_id": "access_key_id", "secret_access_key": "secret_access_key"}, "status": "connected"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.list_credentials(**req_copy)
class TestCreateCredentials():
"""
Test Class for create_credentials
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_create_credentials_all_params(self):
"""
create_credentials()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/credentials')
mock_response = '{"credential_id": "credential_id", "source_type": "box", "credential_details": {"credential_type": "oauth2", "client_id": "client_id", "enterprise_id": "enterprise_id", "url": "url", "username": "username", "organization_url": "organization_url", "site_collection.path": "site_collection_path", "client_secret": "client_secret", "public_key_id": "public_key_id", "private_key": "private_key", "passphrase": "passphrase", "password": "password", "gateway_id": "gateway_id", "source_version": "online", "web_application_url": "web_application_url", "domain": "domain", "endpoint": "endpoint", "access_key_id": "access_key_id", "secret_access_key": "secret_access_key"}, "status": "connected"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a CredentialDetails model
credential_details_model = {}
credential_details_model['credential_type'] = 'oauth2'
credential_details_model['client_id'] = 'testString'
credential_details_model['enterprise_id'] = 'testString'
credential_details_model['url'] = 'testString'
credential_details_model['username'] = 'testString'
credential_details_model['organization_url'] = 'testString'
credential_details_model['site_collection.path'] = 'testString'
credential_details_model['client_secret'] = 'testString'
credential_details_model['public_key_id'] = 'testString'
credential_details_model['private_key'] = 'testString'
credential_details_model['passphrase'] = 'testString'
credential_details_model['password'] = 'testString'
credential_details_model['gateway_id'] = 'testString'
credential_details_model['source_version'] = 'online'
credential_details_model['web_application_url'] = 'testString'
credential_details_model['domain'] = 'testString'
credential_details_model['endpoint'] = 'testString'
credential_details_model['access_key_id'] = 'testString'
credential_details_model['secret_access_key'] = 'testString'
# Set up parameter values
environment_id = 'testString'
source_type = 'box'
credential_details = credential_details_model
status = 'connected'
# Invoke method
response = service.create_credentials(
environment_id,
source_type=source_type,
credential_details=credential_details,
status=status,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['source_type'] == 'box'
assert req_body['credential_details'] == credential_details_model
assert req_body['status'] == 'connected'
@responses.activate
def test_create_credentials_value_error(self):
"""
test_create_credentials_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/credentials')
mock_response = '{"credential_id": "credential_id", "source_type": "box", "credential_details": {"credential_type": "oauth2", "client_id": "client_id", "enterprise_id": "enterprise_id", "url": "url", "username": "username", "organization_url": "organization_url", "site_collection.path": "site_collection_path", "client_secret": "client_secret", "public_key_id": "public_key_id", "private_key": "private_key", "passphrase": "passphrase", "password": "password", "gateway_id": "gateway_id", "source_version": "online", "web_application_url": "web_application_url", "domain": "domain", "endpoint": "endpoint", "access_key_id": "access_key_id", "secret_access_key": "secret_access_key"}, "status": "connected"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a CredentialDetails model
credential_details_model = {}
credential_details_model['credential_type'] = 'oauth2'
credential_details_model['client_id'] = 'testString'
credential_details_model['enterprise_id'] = 'testString'
credential_details_model['url'] = 'testString'
credential_details_model['username'] = 'testString'
credential_details_model['organization_url'] = 'testString'
credential_details_model['site_collection.path'] = 'testString'
credential_details_model['client_secret'] = 'testString'
credential_details_model['public_key_id'] = 'testString'
credential_details_model['private_key'] = 'testString'
credential_details_model['passphrase'] = 'testString'
credential_details_model['password'] = 'testString'
credential_details_model['gateway_id'] = 'testString'
credential_details_model['source_version'] = 'online'
credential_details_model['web_application_url'] = 'testString'
credential_details_model['domain'] = 'testString'
credential_details_model['endpoint'] = 'testString'
credential_details_model['access_key_id'] = 'testString'
credential_details_model['secret_access_key'] = 'testString'
# Set up parameter values
environment_id = 'testString'
source_type = 'box'
credential_details = credential_details_model
status = 'connected'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.create_credentials(**req_copy)
class TestGetCredentials():
"""
Test Class for get_credentials
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_credentials_all_params(self):
"""
get_credentials()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/credentials/testString')
mock_response = '{"credential_id": "credential_id", "source_type": "box", "credential_details": {"credential_type": "oauth2", "client_id": "client_id", "enterprise_id": "enterprise_id", "url": "url", "username": "username", "organization_url": "organization_url", "site_collection.path": "site_collection_path", "client_secret": "client_secret", "public_key_id": "public_key_id", "private_key": "private_key", "passphrase": "passphrase", "password": "password", "gateway_id": "gateway_id", "source_version": "online", "web_application_url": "web_application_url", "domain": "domain", "endpoint": "endpoint", "access_key_id": "access_key_id", "secret_access_key": "secret_access_key"}, "status": "connected"}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
credential_id = 'testString'
# Invoke method
response = service.get_credentials(
environment_id,
credential_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_credentials_value_error(self):
"""
test_get_credentials_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/credentials/testString')
mock_response = '{"credential_id": "credential_id", "source_type": "box", "credential_details": {"credential_type": "oauth2", "client_id": "client_id", "enterprise_id": "enterprise_id", "url": "url", "username": "username", "organization_url": "organization_url", "site_collection.path": "site_collection_path", "client_secret": "client_secret", "public_key_id": "public_key_id", "private_key": "private_key", "passphrase": "passphrase", "password": "password", "gateway_id": "gateway_id", "source_version": "online", "web_application_url": "web_application_url", "domain": "domain", "endpoint": "endpoint", "access_key_id": "access_key_id", "secret_access_key": "secret_access_key"}, "status": "connected"}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
credential_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"credential_id": credential_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_credentials(**req_copy)
class TestUpdateCredentials():
"""
Test Class for update_credentials
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_update_credentials_all_params(self):
"""
update_credentials()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/credentials/testString')
mock_response = '{"credential_id": "credential_id", "source_type": "box", "credential_details": {"credential_type": "oauth2", "client_id": "client_id", "enterprise_id": "enterprise_id", "url": "url", "username": "username", "organization_url": "organization_url", "site_collection.path": "site_collection_path", "client_secret": "client_secret", "public_key_id": "public_key_id", "private_key": "private_key", "passphrase": "passphrase", "password": "password", "gateway_id": "gateway_id", "source_version": "online", "web_application_url": "web_application_url", "domain": "domain", "endpoint": "endpoint", "access_key_id": "access_key_id", "secret_access_key": "secret_access_key"}, "status": "connected"}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a CredentialDetails model
credential_details_model = {}
credential_details_model['credential_type'] = 'oauth2'
credential_details_model['client_id'] = 'testString'
credential_details_model['enterprise_id'] = 'testString'
credential_details_model['url'] = 'testString'
credential_details_model['username'] = 'testString'
credential_details_model['organization_url'] = 'testString'
credential_details_model['site_collection.path'] = 'testString'
credential_details_model['client_secret'] = 'testString'
credential_details_model['public_key_id'] = 'testString'
credential_details_model['private_key'] = 'testString'
credential_details_model['passphrase'] = 'testString'
credential_details_model['password'] = 'testString'
credential_details_model['gateway_id'] = 'testString'
credential_details_model['source_version'] = 'online'
credential_details_model['web_application_url'] = 'testString'
credential_details_model['domain'] = 'testString'
credential_details_model['endpoint'] = 'testString'
credential_details_model['access_key_id'] = 'testString'
credential_details_model['secret_access_key'] = 'testString'
# Set up parameter values
environment_id = 'testString'
credential_id = 'testString'
source_type = 'box'
credential_details = credential_details_model
status = 'connected'
# Invoke method
response = service.update_credentials(
environment_id,
credential_id,
source_type=source_type,
credential_details=credential_details,
status=status,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['source_type'] == 'box'
assert req_body['credential_details'] == credential_details_model
assert req_body['status'] == 'connected'
@responses.activate
def test_update_credentials_value_error(self):
"""
test_update_credentials_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/credentials/testString')
mock_response = '{"credential_id": "credential_id", "source_type": "box", "credential_details": {"credential_type": "oauth2", "client_id": "client_id", "enterprise_id": "enterprise_id", "url": "url", "username": "username", "organization_url": "organization_url", "site_collection.path": "site_collection_path", "client_secret": "client_secret", "public_key_id": "public_key_id", "private_key": "private_key", "passphrase": "passphrase", "password": "password", "gateway_id": "gateway_id", "source_version": "online", "web_application_url": "web_application_url", "domain": "domain", "endpoint": "endpoint", "access_key_id": "access_key_id", "secret_access_key": "secret_access_key"}, "status": "connected"}'
responses.add(responses.PUT,
url,
body=mock_response,
content_type='application/json',
status=200)
# Construct a dict representation of a CredentialDetails model
credential_details_model = {}
credential_details_model['credential_type'] = 'oauth2'
credential_details_model['client_id'] = 'testString'
credential_details_model['enterprise_id'] = 'testString'
credential_details_model['url'] = 'testString'
credential_details_model['username'] = 'testString'
credential_details_model['organization_url'] = 'testString'
credential_details_model['site_collection.path'] = 'testString'
credential_details_model['client_secret'] = 'testString'
credential_details_model['public_key_id'] = 'testString'
credential_details_model['private_key'] = 'testString'
credential_details_model['passphrase'] = 'testString'
credential_details_model['password'] = 'testString'
credential_details_model['gateway_id'] = 'testString'
credential_details_model['source_version'] = 'online'
credential_details_model['web_application_url'] = 'testString'
credential_details_model['domain'] = 'testString'
credential_details_model['endpoint'] = 'testString'
credential_details_model['access_key_id'] = 'testString'
credential_details_model['secret_access_key'] = 'testString'
# Set up parameter values
environment_id = 'testString'
credential_id = 'testString'
source_type = 'box'
credential_details = credential_details_model
status = 'connected'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"credential_id": credential_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.update_credentials(**req_copy)
class TestDeleteCredentials():
"""
Test Class for delete_credentials
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_credentials_all_params(self):
"""
delete_credentials()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/credentials/testString')
mock_response = '{"credential_id": "credential_id", "status": "deleted"}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
credential_id = 'testString'
# Invoke method
response = service.delete_credentials(
environment_id,
credential_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_delete_credentials_value_error(self):
"""
test_delete_credentials_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/credentials/testString')
mock_response = '{"credential_id": "credential_id", "status": "deleted"}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
credential_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"credential_id": credential_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_credentials(**req_copy)
# endregion
##############################################################################
# End of Service: Credentials
##############################################################################
##############################################################################
# Start of Service: GatewayConfiguration
##############################################################################
# region
class TestListGateways():
"""
Test Class for list_gateways
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_list_gateways_all_params(self):
"""
list_gateways()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/gateways')
mock_response = '{"gateways": [{"gateway_id": "gateway_id", "name": "name", "status": "connected", "token": "token", "token_id": "token_id"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Invoke method
response = service.list_gateways(
environment_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_list_gateways_value_error(self):
"""
test_list_gateways_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/gateways')
mock_response = '{"gateways": [{"gateway_id": "gateway_id", "name": "name", "status": "connected", "token": "token", "token_id": "token_id"}]}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.list_gateways(**req_copy)
class TestCreateGateway():
"""
Test Class for create_gateway
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_create_gateway_all_params(self):
"""
create_gateway()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/gateways')
mock_response = '{"gateway_id": "gateway_id", "name": "name", "status": "connected", "token": "token", "token_id": "token_id"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
name = 'testString'
# Invoke method
response = service.create_gateway(
environment_id,
name=name,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
# Validate body params
req_body = json.loads(str(responses.calls[0].request.body, 'utf-8'))
assert req_body['name'] == 'testString'
@responses.activate
def test_create_gateway_required_params(self):
"""
test_create_gateway_required_params()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/gateways')
mock_response = '{"gateway_id": "gateway_id", "name": "name", "status": "connected", "token": "token", "token_id": "token_id"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Invoke method
response = service.create_gateway(
environment_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_create_gateway_value_error(self):
"""
test_create_gateway_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/gateways')
mock_response = '{"gateway_id": "gateway_id", "name": "name", "status": "connected", "token": "token", "token_id": "token_id"}'
responses.add(responses.POST,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.create_gateway(**req_copy)
class TestGetGateway():
"""
Test Class for get_gateway
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_get_gateway_all_params(self):
"""
get_gateway()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/gateways/testString')
mock_response = '{"gateway_id": "gateway_id", "name": "name", "status": "connected", "token": "token", "token_id": "token_id"}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
gateway_id = 'testString'
# Invoke method
response = service.get_gateway(
environment_id,
gateway_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_get_gateway_value_error(self):
"""
test_get_gateway_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/gateways/testString')
mock_response = '{"gateway_id": "gateway_id", "name": "name", "status": "connected", "token": "token", "token_id": "token_id"}'
responses.add(responses.GET,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
gateway_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"gateway_id": gateway_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.get_gateway(**req_copy)
class TestDeleteGateway():
"""
Test Class for delete_gateway
"""
def preprocess_url(self, request_url: str):
"""
Preprocess the request URL to ensure the mock response will be found.
"""
if re.fullmatch('.*/+', request_url) is None:
return request_url
else:
return re.compile(request_url.rstrip('/') + '/+')
@responses.activate
def test_delete_gateway_all_params(self):
"""
delete_gateway()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/gateways/testString')
mock_response = '{"gateway_id": "gateway_id", "status": "status"}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
gateway_id = 'testString'
# Invoke method
response = service.delete_gateway(
environment_id,
gateway_id,
headers={}
)
# Check for correct operation
assert len(responses.calls) == 1
assert response.status_code == 200
@responses.activate
def test_delete_gateway_value_error(self):
"""
test_delete_gateway_value_error()
"""
# Set up mock
url = self.preprocess_url(base_url + '/v1/environments/testString/gateways/testString')
mock_response = '{"gateway_id": "gateway_id", "status": "status"}'
responses.add(responses.DELETE,
url,
body=mock_response,
content_type='application/json',
status=200)
# Set up parameter values
environment_id = 'testString'
gateway_id = 'testString'
# Pass in all but one required param and check for a ValueError
req_param_dict = {
"environment_id": environment_id,
"gateway_id": gateway_id,
}
for param in req_param_dict.keys():
req_copy = {key:val if key is not param else None for (key,val) in req_param_dict.items()}
with pytest.raises(ValueError):
service.delete_gateway(**req_copy)
# endregion
##############################################################################
# End of Service: GatewayConfiguration
##############################################################################
##############################################################################
# Start of Model Tests
##############################################################################
# region
class TestAggregationResult():
"""
Test Class for AggregationResult
"""
def test_aggregation_result_serialization(self):
"""
Test serialization/deserialization for AggregationResult
"""
# Construct a json representation of a AggregationResult model
aggregation_result_model_json = {}
aggregation_result_model_json['key'] = 'testString'
aggregation_result_model_json['matching_results'] = 38
# Construct a model instance of AggregationResult by calling from_dict on the json representation
aggregation_result_model = AggregationResult.from_dict(aggregation_result_model_json)
assert aggregation_result_model != False
# Construct a model instance of AggregationResult by calling from_dict on the json representation
aggregation_result_model_dict = AggregationResult.from_dict(aggregation_result_model_json).__dict__
aggregation_result_model2 = AggregationResult(**aggregation_result_model_dict)
# Verify the model instances are equivalent
assert aggregation_result_model == aggregation_result_model2
# Convert model instance back to dict and verify no loss of data
aggregation_result_model_json2 = aggregation_result_model.to_dict()
assert aggregation_result_model_json2 == aggregation_result_model_json
class TestCollection():
"""
Test Class for Collection
"""
def test_collection_serialization(self):
"""
Test serialization/deserialization for Collection
"""
# Construct dict forms of any model objects needed in order to build this model.
document_counts_model = {} # DocumentCounts
document_counts_model['available'] = 0
document_counts_model['processing'] = 0
document_counts_model['failed'] = 0
document_counts_model['pending'] = 26
collection_disk_usage_model = {} # CollectionDiskUsage
collection_disk_usage_model['used_bytes'] = 260
training_status_model = {} # TrainingStatus
training_status_model['total_examples'] = 0
training_status_model['available'] = False
training_status_model['processing'] = False
training_status_model['minimum_queries_added'] = False
training_status_model['minimum_examples_added'] = False
training_status_model['sufficient_label_diversity'] = False
training_status_model['notices'] = 0
training_status_model['successfully_trained'] = '2020-01-28T18:40:40.123456Z'
training_status_model['data_updated'] = '2020-01-28T18:40:40.123456Z'
source_status_model = {} # SourceStatus
source_status_model['status'] = 'complete'
source_status_model['next_crawl'] = '2020-01-28T18:40:40.123456Z'
collection_crawl_status_model = {} # CollectionCrawlStatus
collection_crawl_status_model['source_crawl'] = source_status_model
sdu_status_custom_fields_model = {} # SduStatusCustomFields
sdu_status_custom_fields_model['defined'] = 26
sdu_status_custom_fields_model['maximum_allowed'] = 5
sdu_status_model = {} # SduStatus
sdu_status_model['enabled'] = True
sdu_status_model['total_annotated_pages'] = 0
sdu_status_model['total_pages'] = 0
sdu_status_model['total_documents'] = 0
sdu_status_model['custom_fields'] = sdu_status_custom_fields_model
# Construct a json representation of a Collection model
collection_model_json = {}
collection_model_json['collection_id'] = 'testString'
collection_model_json['name'] = 'testString'
collection_model_json['description'] = 'testString'
collection_model_json['created'] = '2020-01-28T18:40:40.123456Z'
collection_model_json['updated'] = '2020-01-28T18:40:40.123456Z'
collection_model_json['status'] = 'active'
collection_model_json['configuration_id'] = 'testString'
collection_model_json['language'] = 'testString'
collection_model_json['document_counts'] = document_counts_model
collection_model_json['disk_usage'] = collection_disk_usage_model
collection_model_json['training_status'] = training_status_model
collection_model_json['crawl_status'] = collection_crawl_status_model
collection_model_json['smart_document_understanding'] = sdu_status_model
# Construct a model instance of Collection by calling from_dict on the json representation
collection_model = Collection.from_dict(collection_model_json)
assert collection_model != False
# Construct a model instance of Collection by calling from_dict on the json representation
collection_model_dict = Collection.from_dict(collection_model_json).__dict__
collection_model2 = Collection(**collection_model_dict)
# Verify the model instances are equivalent
assert collection_model == collection_model2
# Convert model instance back to dict and verify no loss of data
collection_model_json2 = collection_model.to_dict()
assert collection_model_json2 == collection_model_json
class TestCollectionCrawlStatus():
"""
Test Class for CollectionCrawlStatus
"""
def test_collection_crawl_status_serialization(self):
"""
Test serialization/deserialization for CollectionCrawlStatus
"""
# Construct dict forms of any model objects needed in order to build this model.
source_status_model = {} # SourceStatus
source_status_model['status'] = 'running'
source_status_model['next_crawl'] = '2020-01-28T18:40:40.123456Z'
# Construct a json representation of a CollectionCrawlStatus model
collection_crawl_status_model_json = {}
collection_crawl_status_model_json['source_crawl'] = source_status_model
# Construct a model instance of CollectionCrawlStatus by calling from_dict on the json representation
collection_crawl_status_model = CollectionCrawlStatus.from_dict(collection_crawl_status_model_json)
assert collection_crawl_status_model != False
# Construct a model instance of CollectionCrawlStatus by calling from_dict on the json representation
collection_crawl_status_model_dict = CollectionCrawlStatus.from_dict(collection_crawl_status_model_json).__dict__
collection_crawl_status_model2 = CollectionCrawlStatus(**collection_crawl_status_model_dict)
# Verify the model instances are equivalent
assert collection_crawl_status_model == collection_crawl_status_model2
# Convert model instance back to dict and verify no loss of data
collection_crawl_status_model_json2 = collection_crawl_status_model.to_dict()
assert collection_crawl_status_model_json2 == collection_crawl_status_model_json
class TestCollectionDiskUsage():
"""
Test Class for CollectionDiskUsage
"""
def test_collection_disk_usage_serialization(self):
"""
Test serialization/deserialization for CollectionDiskUsage
"""
# Construct a json representation of a CollectionDiskUsage model
collection_disk_usage_model_json = {}
collection_disk_usage_model_json['used_bytes'] = 38
# Construct a model instance of CollectionDiskUsage by calling from_dict on the json representation
collection_disk_usage_model = CollectionDiskUsage.from_dict(collection_disk_usage_model_json)
assert collection_disk_usage_model != False
# Construct a model instance of CollectionDiskUsage by calling from_dict on the json representation
collection_disk_usage_model_dict = CollectionDiskUsage.from_dict(collection_disk_usage_model_json).__dict__
collection_disk_usage_model2 = CollectionDiskUsage(**collection_disk_usage_model_dict)
# Verify the model instances are equivalent
assert collection_disk_usage_model == collection_disk_usage_model2
# Convert model instance back to dict and verify no loss of data
collection_disk_usage_model_json2 = collection_disk_usage_model.to_dict()
assert collection_disk_usage_model_json2 == collection_disk_usage_model_json
class TestCollectionUsage():
"""
Test Class for CollectionUsage
"""
def test_collection_usage_serialization(self):
"""
Test serialization/deserialization for CollectionUsage
"""
# Construct a json representation of a CollectionUsage model
collection_usage_model_json = {}
collection_usage_model_json['available'] = 38
collection_usage_model_json['maximum_allowed'] = 38
# Construct a model instance of CollectionUsage by calling from_dict on the json representation
collection_usage_model = CollectionUsage.from_dict(collection_usage_model_json)
assert collection_usage_model != False
# Construct a model instance of CollectionUsage by calling from_dict on the json representation
collection_usage_model_dict = CollectionUsage.from_dict(collection_usage_model_json).__dict__
collection_usage_model2 = CollectionUsage(**collection_usage_model_dict)
# Verify the model instances are equivalent
assert collection_usage_model == collection_usage_model2
# Convert model instance back to dict and verify no loss of data
collection_usage_model_json2 = collection_usage_model.to_dict()
assert collection_usage_model_json2 == collection_usage_model_json
class TestCompletions():
"""
Test Class for Completions
"""
def test_completions_serialization(self):
"""
Test serialization/deserialization for Completions
"""
# Construct a json representation of a Completions model
completions_model_json = {}
completions_model_json['completions'] = ['testString']
# Construct a model instance of Completions by calling from_dict on the json representation
completions_model = Completions.from_dict(completions_model_json)
assert completions_model != False
# Construct a model instance of Completions by calling from_dict on the json representation
completions_model_dict = Completions.from_dict(completions_model_json).__dict__
completions_model2 = Completions(**completions_model_dict)
# Verify the model instances are equivalent
assert completions_model == completions_model2
# Convert model instance back to dict and verify no loss of data
completions_model_json2 = completions_model.to_dict()
assert completions_model_json2 == completions_model_json
class TestConfiguration():
"""
Test Class for Configuration
"""
def test_configuration_serialization(self):
"""
Test serialization/deserialization for Configuration
"""
# Construct dict forms of any model objects needed in order to build this model.
font_setting_model = {} # FontSetting
font_setting_model['level'] = 38
font_setting_model['min_size'] = 38
font_setting_model['max_size'] = 38
font_setting_model['bold'] = True
font_setting_model['italic'] = True
font_setting_model['name'] = 'testString'
pdf_heading_detection_model = {} # PdfHeadingDetection
pdf_heading_detection_model['fonts'] = [font_setting_model]
pdf_settings_model = {} # PdfSettings
pdf_settings_model['heading'] = pdf_heading_detection_model
word_style_model = {} # WordStyle
word_style_model['level'] = 38
word_style_model['names'] = ['testString']
word_heading_detection_model = {} # WordHeadingDetection
word_heading_detection_model['fonts'] = [font_setting_model]
word_heading_detection_model['styles'] = [word_style_model]
word_settings_model = {} # WordSettings
word_settings_model['heading'] = word_heading_detection_model
x_path_patterns_model = {} # XPathPatterns
x_path_patterns_model['xpaths'] = ['testString']
html_settings_model = {} # HtmlSettings
html_settings_model['exclude_tags_completely'] = ['testString']
html_settings_model['exclude_tags_keep_content'] = ['testString']
html_settings_model['keep_content'] = x_path_patterns_model
html_settings_model['exclude_content'] = x_path_patterns_model
html_settings_model['keep_tag_attributes'] = ['testString']
html_settings_model['exclude_tag_attributes'] = ['testString']
segment_settings_model = {} # SegmentSettings
segment_settings_model['enabled'] = True
segment_settings_model['selector_tags'] = ['testString']
segment_settings_model['annotated_fields'] = ['testString']
normalization_operation_model = {} # NormalizationOperation
normalization_operation_model['operation'] = 'move'
normalization_operation_model['source_field'] = 'extracted_metadata.title'
normalization_operation_model['destination_field'] = 'metadata.title'
conversions_model = {} # Conversions
conversions_model['pdf'] = pdf_settings_model
conversions_model['word'] = word_settings_model
conversions_model['html'] = html_settings_model
conversions_model['segment'] = segment_settings_model
conversions_model['json_normalizations'] = [normalization_operation_model]
conversions_model['image_text_recognition'] = True
nlu_enrichment_keywords_model = {} # NluEnrichmentKeywords
nlu_enrichment_keywords_model['sentiment'] = True
nlu_enrichment_keywords_model['emotion'] = False
nlu_enrichment_keywords_model['limit'] = 50
nlu_enrichment_entities_model = {} # NluEnrichmentEntities
nlu_enrichment_entities_model['sentiment'] = True
nlu_enrichment_entities_model['emotion'] = False
nlu_enrichment_entities_model['limit'] = 50
nlu_enrichment_entities_model['mentions'] = True
nlu_enrichment_entities_model['mention_types'] = True
nlu_enrichment_entities_model['sentence_locations'] = True
nlu_enrichment_entities_model['model'] = 'WKS-model-id'
nlu_enrichment_sentiment_model = {} # NluEnrichmentSentiment
nlu_enrichment_sentiment_model['document'] = True
nlu_enrichment_sentiment_model['targets'] = ['testString']
nlu_enrichment_emotion_model = {} # NluEnrichmentEmotion
nlu_enrichment_emotion_model['document'] = True
nlu_enrichment_emotion_model['targets'] = ['testString']
nlu_enrichment_semantic_roles_model = {} # NluEnrichmentSemanticRoles
nlu_enrichment_semantic_roles_model['entities'] = True
nlu_enrichment_semantic_roles_model['keywords'] = True
nlu_enrichment_semantic_roles_model['limit'] = 50
nlu_enrichment_relations_model = {} # NluEnrichmentRelations
nlu_enrichment_relations_model['model'] = 'WKS-model-id'
nlu_enrichment_concepts_model = {} # NluEnrichmentConcepts
nlu_enrichment_concepts_model['limit'] = 8
nlu_enrichment_features_model = {} # NluEnrichmentFeatures
nlu_enrichment_features_model['keywords'] = nlu_enrichment_keywords_model
nlu_enrichment_features_model['entities'] = nlu_enrichment_entities_model
nlu_enrichment_features_model['sentiment'] = nlu_enrichment_sentiment_model
nlu_enrichment_features_model['emotion'] = nlu_enrichment_emotion_model
nlu_enrichment_features_model['categories'] = {}
nlu_enrichment_features_model['semantic_roles'] = nlu_enrichment_semantic_roles_model
nlu_enrichment_features_model['relations'] = nlu_enrichment_relations_model
nlu_enrichment_features_model['concepts'] = nlu_enrichment_concepts_model
enrichment_options_model = {} # EnrichmentOptions
enrichment_options_model['features'] = nlu_enrichment_features_model
enrichment_options_model['language'] = 'ar'
enrichment_options_model['model'] = 'testString'
enrichment_model = {} # Enrichment
enrichment_model['description'] = 'testString'
enrichment_model['destination_field'] = 'enriched_title'
enrichment_model['source_field'] = 'title'
enrichment_model['overwrite'] = True
enrichment_model['enrichment'] = 'natural_language_understanding'
enrichment_model['ignore_downstream_errors'] = True
enrichment_model['options'] = enrichment_options_model
source_schedule_model = {} # SourceSchedule
source_schedule_model['enabled'] = True
source_schedule_model['time_zone'] = 'America/New_York'
source_schedule_model['frequency'] = 'weekly'
source_options_folder_model = {} # SourceOptionsFolder
source_options_folder_model['owner_user_id'] = 'testString'
source_options_folder_model['folder_id'] = 'testString'
source_options_folder_model['limit'] = 38
source_options_object_model = {} # SourceOptionsObject
source_options_object_model['name'] = 'testString'
source_options_object_model['limit'] = 38
source_options_site_coll_model = {} # SourceOptionsSiteColl
source_options_site_coll_model['site_collection_path'] = '/sites/TestSiteA'
source_options_site_coll_model['limit'] = 10
source_options_web_crawl_model = {} # SourceOptionsWebCrawl
source_options_web_crawl_model['url'] = 'testString'
source_options_web_crawl_model['limit_to_starting_hosts'] = True
source_options_web_crawl_model['crawl_speed'] = 'gentle'
source_options_web_crawl_model['allow_untrusted_certificate'] = True
source_options_web_crawl_model['maximum_hops'] = 38
source_options_web_crawl_model['request_timeout'] = 38
source_options_web_crawl_model['override_robots_txt'] = True
source_options_web_crawl_model['blacklist'] = ['testString']
source_options_buckets_model = {} # SourceOptionsBuckets
source_options_buckets_model['name'] = 'testString'
source_options_buckets_model['limit'] = 38
source_options_model = {} # SourceOptions
source_options_model['folders'] = [source_options_folder_model]
source_options_model['objects'] = [source_options_object_model]
source_options_model['site_collections'] = [source_options_site_coll_model]
source_options_model['urls'] = [source_options_web_crawl_model]
source_options_model['buckets'] = [source_options_buckets_model]
source_options_model['crawl_all_buckets'] = True
source_model = {} # Source
source_model['type'] = 'salesforce'
source_model['credential_id'] = '00ad0000-0000-11e8-ba89-0ed5f00f718b'
source_model['schedule'] = source_schedule_model
source_model['options'] = source_options_model
# Construct a json representation of a Configuration model
configuration_model_json = {}
configuration_model_json['configuration_id'] = 'testString'
configuration_model_json['name'] = 'testString'
configuration_model_json['created'] = '2020-01-28T18:40:40.123456Z'
configuration_model_json['updated'] = '2020-01-28T18:40:40.123456Z'
configuration_model_json['description'] = 'testString'
configuration_model_json['conversions'] = conversions_model
configuration_model_json['enrichments'] = [enrichment_model]
configuration_model_json['normalizations'] = [normalization_operation_model]
configuration_model_json['source'] = source_model
# Construct a model instance of Configuration by calling from_dict on the json representation
configuration_model = Configuration.from_dict(configuration_model_json)
assert configuration_model != False
# Construct a model instance of Configuration by calling from_dict on the json representation
configuration_model_dict = Configuration.from_dict(configuration_model_json).__dict__
configuration_model2 = Configuration(**configuration_model_dict)
# Verify the model instances are equivalent
assert configuration_model == configuration_model2
# Convert model instance back to dict and verify no loss of data
configuration_model_json2 = configuration_model.to_dict()
assert configuration_model_json2 == configuration_model_json
class TestConversions():
"""
Test Class for Conversions
"""
def test_conversions_serialization(self):
"""
Test serialization/deserialization for Conversions
"""
# Construct dict forms of any model objects needed in order to build this model.
font_setting_model = {} # FontSetting
font_setting_model['level'] = 38
font_setting_model['min_size'] = 38
font_setting_model['max_size'] = 38
font_setting_model['bold'] = True
font_setting_model['italic'] = True
font_setting_model['name'] = 'testString'
pdf_heading_detection_model = {} # PdfHeadingDetection
pdf_heading_detection_model['fonts'] = [font_setting_model]
pdf_settings_model = {} # PdfSettings
pdf_settings_model['heading'] = pdf_heading_detection_model
word_style_model = {} # WordStyle
word_style_model['level'] = 38
word_style_model['names'] = ['testString']
word_heading_detection_model = {} # WordHeadingDetection
word_heading_detection_model['fonts'] = [font_setting_model]
word_heading_detection_model['styles'] = [word_style_model]
word_settings_model = {} # WordSettings
word_settings_model['heading'] = word_heading_detection_model
x_path_patterns_model = {} # XPathPatterns
x_path_patterns_model['xpaths'] = ['testString']
html_settings_model = {} # HtmlSettings
html_settings_model['exclude_tags_completely'] = ['testString']
html_settings_model['exclude_tags_keep_content'] = ['testString']
html_settings_model['keep_content'] = x_path_patterns_model
html_settings_model['exclude_content'] = x_path_patterns_model
html_settings_model['keep_tag_attributes'] = ['testString']
html_settings_model['exclude_tag_attributes'] = ['testString']
segment_settings_model = {} # SegmentSettings
segment_settings_model['enabled'] = True
segment_settings_model['selector_tags'] = ['testString']
segment_settings_model['annotated_fields'] = ['testString']
normalization_operation_model = {} # NormalizationOperation
normalization_operation_model['operation'] = 'copy'
normalization_operation_model['source_field'] = 'testString'
normalization_operation_model['destination_field'] = 'testString'
# Construct a json representation of a Conversions model
conversions_model_json = {}
conversions_model_json['pdf'] = pdf_settings_model
conversions_model_json['word'] = word_settings_model
conversions_model_json['html'] = html_settings_model
conversions_model_json['segment'] = segment_settings_model
conversions_model_json['json_normalizations'] = [normalization_operation_model]
conversions_model_json['image_text_recognition'] = True
# Construct a model instance of Conversions by calling from_dict on the json representation
conversions_model = Conversions.from_dict(conversions_model_json)
assert conversions_model != False
# Construct a model instance of Conversions by calling from_dict on the json representation
conversions_model_dict = Conversions.from_dict(conversions_model_json).__dict__
conversions_model2 = Conversions(**conversions_model_dict)
# Verify the model instances are equivalent
assert conversions_model == conversions_model2
# Convert model instance back to dict and verify no loss of data
conversions_model_json2 = conversions_model.to_dict()
assert conversions_model_json2 == conversions_model_json
class TestCreateEventResponse():
"""
Test Class for CreateEventResponse
"""
def test_create_event_response_serialization(self):
"""
Test serialization/deserialization for CreateEventResponse
"""
# Construct dict forms of any model objects needed in order to build this model.
event_data_model = {} # EventData
event_data_model['environment_id'] = 'testString'
event_data_model['session_token'] = 'testString'
event_data_model['client_timestamp'] = '2020-01-28T18:40:40.123456Z'
event_data_model['display_rank'] = 38
event_data_model['collection_id'] = 'testString'
event_data_model['document_id'] = 'testString'
event_data_model['query_id'] = 'testString'
# Construct a json representation of a CreateEventResponse model
create_event_response_model_json = {}
create_event_response_model_json['type'] = 'click'
create_event_response_model_json['data'] = event_data_model
# Construct a model instance of CreateEventResponse by calling from_dict on the json representation
create_event_response_model = CreateEventResponse.from_dict(create_event_response_model_json)
assert create_event_response_model != False
# Construct a model instance of CreateEventResponse by calling from_dict on the json representation
create_event_response_model_dict = CreateEventResponse.from_dict(create_event_response_model_json).__dict__
create_event_response_model2 = CreateEventResponse(**create_event_response_model_dict)
# Verify the model instances are equivalent
assert create_event_response_model == create_event_response_model2
# Convert model instance back to dict and verify no loss of data
create_event_response_model_json2 = create_event_response_model.to_dict()
assert create_event_response_model_json2 == create_event_response_model_json
class TestCredentialDetails():
"""
Test Class for CredentialDetails
"""
def test_credential_details_serialization(self):
"""
Test serialization/deserialization for CredentialDetails
"""
# Construct a json representation of a CredentialDetails model
credential_details_model_json = {}
credential_details_model_json['credential_type'] = 'oauth2'
credential_details_model_json['client_id'] = 'testString'
credential_details_model_json['enterprise_id'] = 'testString'
credential_details_model_json['url'] = 'testString'
credential_details_model_json['username'] = 'testString'
credential_details_model_json['organization_url'] = 'testString'
credential_details_model_json['site_collection.path'] = 'testString'
credential_details_model_json['client_secret'] = 'testString'
credential_details_model_json['public_key_id'] = 'testString'
credential_details_model_json['private_key'] = 'testString'
credential_details_model_json['passphrase'] = 'testString'
credential_details_model_json['password'] = 'testString'
credential_details_model_json['gateway_id'] = 'testString'
credential_details_model_json['source_version'] = 'online'
credential_details_model_json['web_application_url'] = 'testString'
credential_details_model_json['domain'] = 'testString'
credential_details_model_json['endpoint'] = 'testString'
credential_details_model_json['access_key_id'] = 'testString'
credential_details_model_json['secret_access_key'] = 'testString'
# Construct a model instance of CredentialDetails by calling from_dict on the json representation
credential_details_model = CredentialDetails.from_dict(credential_details_model_json)
assert credential_details_model != False
# Construct a model instance of CredentialDetails by calling from_dict on the json representation
credential_details_model_dict = CredentialDetails.from_dict(credential_details_model_json).__dict__
credential_details_model2 = CredentialDetails(**credential_details_model_dict)
# Verify the model instances are equivalent
assert credential_details_model == credential_details_model2
# Convert model instance back to dict and verify no loss of data
credential_details_model_json2 = credential_details_model.to_dict()
assert credential_details_model_json2 == credential_details_model_json
class TestCredentials():
"""
Test Class for Credentials
"""
def test_credentials_serialization(self):
"""
Test serialization/deserialization for Credentials
"""
# Construct dict forms of any model objects needed in order to build this model.
credential_details_model = {} # CredentialDetails
credential_details_model['credential_type'] = 'username_password'
credential_details_model['client_id'] = 'testString'
credential_details_model['enterprise_id'] = 'testString'
credential_details_model['url'] = 'login.salesforce.com'
credential_details_model['username'] = 'user@email.address'
credential_details_model['organization_url'] = 'testString'
credential_details_model['site_collection.path'] = 'testString'
credential_details_model['client_secret'] = 'testString'
credential_details_model['public_key_id'] = 'testString'
credential_details_model['private_key'] = 'testString'
credential_details_model['passphrase'] = 'testString'
credential_details_model['password'] = 'testString'
credential_details_model['gateway_id'] = 'testString'
credential_details_model['source_version'] = 'online'
credential_details_model['web_application_url'] = 'testString'
credential_details_model['domain'] = 'testString'
credential_details_model['endpoint'] = 'testString'
credential_details_model['access_key_id'] = 'testString'
credential_details_model['secret_access_key'] = 'testString'
# Construct a json representation of a Credentials model
credentials_model_json = {}
credentials_model_json['credential_id'] = 'testString'
credentials_model_json['source_type'] = 'box'
credentials_model_json['credential_details'] = credential_details_model
credentials_model_json['status'] = 'connected'
# Construct a model instance of Credentials by calling from_dict on the json representation
credentials_model = Credentials.from_dict(credentials_model_json)
assert credentials_model != False
# Construct a model instance of Credentials by calling from_dict on the json representation
credentials_model_dict = Credentials.from_dict(credentials_model_json).__dict__
credentials_model2 = Credentials(**credentials_model_dict)
# Verify the model instances are equivalent
assert credentials_model == credentials_model2
# Convert model instance back to dict and verify no loss of data
credentials_model_json2 = credentials_model.to_dict()
assert credentials_model_json2 == credentials_model_json
class TestCredentialsList():
"""
Test Class for CredentialsList
"""
def test_credentials_list_serialization(self):
"""
Test serialization/deserialization for CredentialsList
"""
# Construct dict forms of any model objects needed in order to build this model.
credential_details_model = {} # CredentialDetails
credential_details_model['credential_type'] = 'username_password'
credential_details_model['client_id'] = 'testString'
credential_details_model['enterprise_id'] = 'testString'
credential_details_model['url'] = 'login.salesforce.com'
credential_details_model['username'] = 'user@email.address'
credential_details_model['organization_url'] = 'testString'
credential_details_model['site_collection.path'] = 'testString'
credential_details_model['client_secret'] = 'testString'
credential_details_model['public_key_id'] = 'testString'
credential_details_model['private_key'] = 'testString'
credential_details_model['passphrase'] = 'testString'
credential_details_model['password'] = 'testString'
credential_details_model['gateway_id'] = 'testString'
credential_details_model['source_version'] = 'online'
credential_details_model['web_application_url'] = 'testString'
credential_details_model['domain'] = 'testString'
credential_details_model['endpoint'] = 'testString'
credential_details_model['access_key_id'] = 'testString'
credential_details_model['secret_access_key'] = 'testString'
credentials_model = {} # Credentials
credentials_model['credential_id'] = '00000d8c-0000-00e8-ba89-0ed5f89f718b'
credentials_model['source_type'] = 'salesforce'
credentials_model['credential_details'] = credential_details_model
credentials_model['status'] = 'connected'
# Construct a json representation of a CredentialsList model
credentials_list_model_json = {}
credentials_list_model_json['credentials'] = [credentials_model]
# Construct a model instance of CredentialsList by calling from_dict on the json representation
credentials_list_model = CredentialsList.from_dict(credentials_list_model_json)
assert credentials_list_model != False
# Construct a model instance of CredentialsList by calling from_dict on the json representation
credentials_list_model_dict = CredentialsList.from_dict(credentials_list_model_json).__dict__
credentials_list_model2 = CredentialsList(**credentials_list_model_dict)
# Verify the model instances are equivalent
assert credentials_list_model == credentials_list_model2
# Convert model instance back to dict and verify no loss of data
credentials_list_model_json2 = credentials_list_model.to_dict()
assert credentials_list_model_json2 == credentials_list_model_json
class TestDeleteCollectionResponse():
"""
Test Class for DeleteCollectionResponse
"""
def test_delete_collection_response_serialization(self):
"""
Test serialization/deserialization for DeleteCollectionResponse
"""
# Construct a json representation of a DeleteCollectionResponse model
delete_collection_response_model_json = {}
delete_collection_response_model_json['collection_id'] = 'testString'
delete_collection_response_model_json['status'] = 'deleted'
# Construct a model instance of DeleteCollectionResponse by calling from_dict on the json representation
delete_collection_response_model = DeleteCollectionResponse.from_dict(delete_collection_response_model_json)
assert delete_collection_response_model != False
# Construct a model instance of DeleteCollectionResponse by calling from_dict on the json representation
delete_collection_response_model_dict = DeleteCollectionResponse.from_dict(delete_collection_response_model_json).__dict__
delete_collection_response_model2 = DeleteCollectionResponse(**delete_collection_response_model_dict)
# Verify the model instances are equivalent
assert delete_collection_response_model == delete_collection_response_model2
# Convert model instance back to dict and verify no loss of data
delete_collection_response_model_json2 = delete_collection_response_model.to_dict()
assert delete_collection_response_model_json2 == delete_collection_response_model_json
class TestDeleteConfigurationResponse():
"""
Test Class for DeleteConfigurationResponse
"""
def test_delete_configuration_response_serialization(self):
"""
Test serialization/deserialization for DeleteConfigurationResponse
"""
# Construct dict forms of any model objects needed in order to build this model.
notice_model = {} # Notice
notice_model['notice_id'] = 'configuration_in_use'
notice_model['created'] = '2020-01-28T18:40:40.123456Z'
notice_model['document_id'] = 'testString'
notice_model['query_id'] = 'testString'
notice_model['severity'] = 'warning'
notice_model['step'] = 'testString'
notice_model['description'] = 'The configuration was deleted, but it is referenced by one or more collections.'
# Construct a json representation of a DeleteConfigurationResponse model
delete_configuration_response_model_json = {}
delete_configuration_response_model_json['configuration_id'] = 'testString'
delete_configuration_response_model_json['status'] = 'deleted'
delete_configuration_response_model_json['notices'] = [notice_model]
# Construct a model instance of DeleteConfigurationResponse by calling from_dict on the json representation
delete_configuration_response_model = DeleteConfigurationResponse.from_dict(delete_configuration_response_model_json)
assert delete_configuration_response_model != False
# Construct a model instance of DeleteConfigurationResponse by calling from_dict on the json representation
delete_configuration_response_model_dict = DeleteConfigurationResponse.from_dict(delete_configuration_response_model_json).__dict__
delete_configuration_response_model2 = DeleteConfigurationResponse(**delete_configuration_response_model_dict)
# Verify the model instances are equivalent
assert delete_configuration_response_model == delete_configuration_response_model2
# Convert model instance back to dict and verify no loss of data
delete_configuration_response_model_json2 = delete_configuration_response_model.to_dict()
assert delete_configuration_response_model_json2 == delete_configuration_response_model_json
class TestDeleteCredentials():
"""
Test Class for DeleteCredentials
"""
def test_delete_credentials_serialization(self):
"""
Test serialization/deserialization for DeleteCredentials
"""
# Construct a json representation of a DeleteCredentials model
delete_credentials_model_json = {}
delete_credentials_model_json['credential_id'] = 'testString'
delete_credentials_model_json['status'] = 'deleted'
# Construct a model instance of DeleteCredentials by calling from_dict on the json representation
delete_credentials_model = DeleteCredentials.from_dict(delete_credentials_model_json)
assert delete_credentials_model != False
# Construct a model instance of DeleteCredentials by calling from_dict on the json representation
delete_credentials_model_dict = DeleteCredentials.from_dict(delete_credentials_model_json).__dict__
delete_credentials_model2 = DeleteCredentials(**delete_credentials_model_dict)
# Verify the model instances are equivalent
assert delete_credentials_model == delete_credentials_model2
# Convert model instance back to dict and verify no loss of data
delete_credentials_model_json2 = delete_credentials_model.to_dict()
assert delete_credentials_model_json2 == delete_credentials_model_json
class TestDeleteDocumentResponse():
"""
Test Class for DeleteDocumentResponse
"""
def test_delete_document_response_serialization(self):
"""
Test serialization/deserialization for DeleteDocumentResponse
"""
# Construct a json representation of a DeleteDocumentResponse model
delete_document_response_model_json = {}
delete_document_response_model_json['document_id'] = 'testString'
delete_document_response_model_json['status'] = 'deleted'
# Construct a model instance of DeleteDocumentResponse by calling from_dict on the json representation
delete_document_response_model = DeleteDocumentResponse.from_dict(delete_document_response_model_json)
assert delete_document_response_model != False
# Construct a model instance of DeleteDocumentResponse by calling from_dict on the json representation
delete_document_response_model_dict = DeleteDocumentResponse.from_dict(delete_document_response_model_json).__dict__
delete_document_response_model2 = DeleteDocumentResponse(**delete_document_response_model_dict)
# Verify the model instances are equivalent
assert delete_document_response_model == delete_document_response_model2
# Convert model instance back to dict and verify no loss of data
delete_document_response_model_json2 = delete_document_response_model.to_dict()
assert delete_document_response_model_json2 == delete_document_response_model_json
class TestDeleteEnvironmentResponse():
"""
Test Class for DeleteEnvironmentResponse
"""
def test_delete_environment_response_serialization(self):
"""
Test serialization/deserialization for DeleteEnvironmentResponse
"""
# Construct a json representation of a DeleteEnvironmentResponse model
delete_environment_response_model_json = {}
delete_environment_response_model_json['environment_id'] = 'testString'
delete_environment_response_model_json['status'] = 'deleted'
# Construct a model instance of DeleteEnvironmentResponse by calling from_dict on the json representation
delete_environment_response_model = DeleteEnvironmentResponse.from_dict(delete_environment_response_model_json)
assert delete_environment_response_model != False
# Construct a model instance of DeleteEnvironmentResponse by calling from_dict on the json representation
delete_environment_response_model_dict = DeleteEnvironmentResponse.from_dict(delete_environment_response_model_json).__dict__
delete_environment_response_model2 = DeleteEnvironmentResponse(**delete_environment_response_model_dict)
# Verify the model instances are equivalent
assert delete_environment_response_model == delete_environment_response_model2
# Convert model instance back to dict and verify no loss of data
delete_environment_response_model_json2 = delete_environment_response_model.to_dict()
assert delete_environment_response_model_json2 == delete_environment_response_model_json
class TestDiskUsage():
"""
Test Class for DiskUsage
"""
def test_disk_usage_serialization(self):
"""
Test serialization/deserialization for DiskUsage
"""
# Construct a json representation of a DiskUsage model
disk_usage_model_json = {}
disk_usage_model_json['used_bytes'] = 38
disk_usage_model_json['maximum_allowed_bytes'] = 38
# Construct a model instance of DiskUsage by calling from_dict on the json representation
disk_usage_model = DiskUsage.from_dict(disk_usage_model_json)
assert disk_usage_model != False
# Construct a model instance of DiskUsage by calling from_dict on the json representation
disk_usage_model_dict = DiskUsage.from_dict(disk_usage_model_json).__dict__
disk_usage_model2 = DiskUsage(**disk_usage_model_dict)
# Verify the model instances are equivalent
assert disk_usage_model == disk_usage_model2
# Convert model instance back to dict and verify no loss of data
disk_usage_model_json2 = disk_usage_model.to_dict()
assert disk_usage_model_json2 == disk_usage_model_json
class TestDocumentAccepted():
"""
Test Class for DocumentAccepted
"""
def test_document_accepted_serialization(self):
"""
Test serialization/deserialization for DocumentAccepted
"""
# Construct dict forms of any model objects needed in order to build this model.
notice_model = {} # Notice
notice_model['notice_id'] = 'testString'
notice_model['created'] = '2020-01-28T18:40:40.123456Z'
notice_model['document_id'] = 'testString'
notice_model['query_id'] = 'testString'
notice_model['severity'] = 'warning'
notice_model['step'] = 'testString'
notice_model['description'] = 'testString'
# Construct a json representation of a DocumentAccepted model
document_accepted_model_json = {}
document_accepted_model_json['document_id'] = 'testString'
document_accepted_model_json['status'] = 'processing'
document_accepted_model_json['notices'] = [notice_model]
# Construct a model instance of DocumentAccepted by calling from_dict on the json representation
document_accepted_model = DocumentAccepted.from_dict(document_accepted_model_json)
assert document_accepted_model != False
# Construct a model instance of DocumentAccepted by calling from_dict on the json representation
document_accepted_model_dict = DocumentAccepted.from_dict(document_accepted_model_json).__dict__
document_accepted_model2 = DocumentAccepted(**document_accepted_model_dict)
# Verify the model instances are equivalent
assert document_accepted_model == document_accepted_model2
# Convert model instance back to dict and verify no loss of data
document_accepted_model_json2 = document_accepted_model.to_dict()
assert document_accepted_model_json2 == document_accepted_model_json
class TestDocumentCounts():
"""
Test Class for DocumentCounts
"""
def test_document_counts_serialization(self):
"""
Test serialization/deserialization for DocumentCounts
"""
# Construct a json representation of a DocumentCounts model
document_counts_model_json = {}
document_counts_model_json['available'] = 26
document_counts_model_json['processing'] = 26
document_counts_model_json['failed'] = 26
document_counts_model_json['pending'] = 26
# Construct a model instance of DocumentCounts by calling from_dict on the json representation
document_counts_model = DocumentCounts.from_dict(document_counts_model_json)
assert document_counts_model != False
# Construct a model instance of DocumentCounts by calling from_dict on the json representation
document_counts_model_dict = DocumentCounts.from_dict(document_counts_model_json).__dict__
document_counts_model2 = DocumentCounts(**document_counts_model_dict)
# Verify the model instances are equivalent
assert document_counts_model == document_counts_model2
# Convert model instance back to dict and verify no loss of data
document_counts_model_json2 = document_counts_model.to_dict()
assert document_counts_model_json2 == document_counts_model_json
class TestDocumentStatus():
"""
Test Class for DocumentStatus
"""
def test_document_status_serialization(self):
"""
Test serialization/deserialization for DocumentStatus
"""
# Construct dict forms of any model objects needed in order to build this model.
notice_model = {} # Notice
notice_model['notice_id'] = 'index_342'
notice_model['created'] = '2020-01-28T18:40:40.123456Z'
notice_model['document_id'] = 'f1360220-ea2d-4271-9d62-89a910b13c37'
notice_model['query_id'] = 'testString'
notice_model['severity'] = 'warning'
notice_model['step'] = 'indexing'
notice_model['description'] = 'something bad happened'
# Construct a json representation of a DocumentStatus model
document_status_model_json = {}
document_status_model_json['document_id'] = 'testString'
document_status_model_json['configuration_id'] = 'testString'
document_status_model_json['status'] = 'available'
document_status_model_json['status_description'] = 'testString'
document_status_model_json['filename'] = 'testString'
document_status_model_json['file_type'] = 'pdf'
document_status_model_json['sha1'] = 'testString'
document_status_model_json['notices'] = [notice_model]
# Construct a model instance of DocumentStatus by calling from_dict on the json representation
document_status_model = DocumentStatus.from_dict(document_status_model_json)
assert document_status_model != False
# Construct a model instance of DocumentStatus by calling from_dict on the json representation
document_status_model_dict = DocumentStatus.from_dict(document_status_model_json).__dict__
document_status_model2 = DocumentStatus(**document_status_model_dict)
# Verify the model instances are equivalent
assert document_status_model == document_status_model2
# Convert model instance back to dict and verify no loss of data
document_status_model_json2 = document_status_model.to_dict()
assert document_status_model_json2 == document_status_model_json
class TestEnrichment():
"""
Test Class for Enrichment
"""
def test_enrichment_serialization(self):
"""
Test serialization/deserialization for Enrichment
"""
# Construct dict forms of any model objects needed in order to build this model.
nlu_enrichment_keywords_model = {} # NluEnrichmentKeywords
nlu_enrichment_keywords_model['sentiment'] = True
nlu_enrichment_keywords_model['emotion'] = True
nlu_enrichment_keywords_model['limit'] = 38
nlu_enrichment_entities_model = {} # NluEnrichmentEntities
nlu_enrichment_entities_model['sentiment'] = True
nlu_enrichment_entities_model['emotion'] = True
nlu_enrichment_entities_model['limit'] = 38
nlu_enrichment_entities_model['mentions'] = True
nlu_enrichment_entities_model['mention_types'] = True
nlu_enrichment_entities_model['sentence_locations'] = True
nlu_enrichment_entities_model['model'] = 'testString'
nlu_enrichment_sentiment_model = {} # NluEnrichmentSentiment
nlu_enrichment_sentiment_model['document'] = True
nlu_enrichment_sentiment_model['targets'] = ['testString']
nlu_enrichment_emotion_model = {} # NluEnrichmentEmotion
nlu_enrichment_emotion_model['document'] = True
nlu_enrichment_emotion_model['targets'] = ['testString']
nlu_enrichment_semantic_roles_model = {} # NluEnrichmentSemanticRoles
nlu_enrichment_semantic_roles_model['entities'] = True
nlu_enrichment_semantic_roles_model['keywords'] = True
nlu_enrichment_semantic_roles_model['limit'] = 38
nlu_enrichment_relations_model = {} # NluEnrichmentRelations
nlu_enrichment_relations_model['model'] = 'testString'
nlu_enrichment_concepts_model = {} # NluEnrichmentConcepts
nlu_enrichment_concepts_model['limit'] = 38
nlu_enrichment_features_model = {} # NluEnrichmentFeatures
nlu_enrichment_features_model['keywords'] = nlu_enrichment_keywords_model
nlu_enrichment_features_model['entities'] = nlu_enrichment_entities_model
nlu_enrichment_features_model['sentiment'] = nlu_enrichment_sentiment_model
nlu_enrichment_features_model['emotion'] = nlu_enrichment_emotion_model
nlu_enrichment_features_model['categories'] = {}
nlu_enrichment_features_model['semantic_roles'] = nlu_enrichment_semantic_roles_model
nlu_enrichment_features_model['relations'] = nlu_enrichment_relations_model
nlu_enrichment_features_model['concepts'] = nlu_enrichment_concepts_model
enrichment_options_model = {} # EnrichmentOptions
enrichment_options_model['features'] = nlu_enrichment_features_model
enrichment_options_model['language'] = 'ar'
enrichment_options_model['model'] = 'testString'
# Construct a json representation of a Enrichment model
enrichment_model_json = {}
enrichment_model_json['description'] = 'testString'
enrichment_model_json['destination_field'] = 'testString'
enrichment_model_json['source_field'] = 'testString'
enrichment_model_json['overwrite'] = True
enrichment_model_json['enrichment'] = 'testString'
enrichment_model_json['ignore_downstream_errors'] = True
enrichment_model_json['options'] = enrichment_options_model
# Construct a model instance of Enrichment by calling from_dict on the json representation
enrichment_model = Enrichment.from_dict(enrichment_model_json)
assert enrichment_model != False
# Construct a model instance of Enrichment by calling from_dict on the json representation
enrichment_model_dict = Enrichment.from_dict(enrichment_model_json).__dict__
enrichment_model2 = Enrichment(**enrichment_model_dict)
# Verify the model instances are equivalent
assert enrichment_model == enrichment_model2
# Convert model instance back to dict and verify no loss of data
enrichment_model_json2 = enrichment_model.to_dict()
assert enrichment_model_json2 == enrichment_model_json
class TestEnrichmentOptions():
"""
Test Class for EnrichmentOptions
"""
def test_enrichment_options_serialization(self):
"""
Test serialization/deserialization for EnrichmentOptions
"""
# Construct dict forms of any model objects needed in order to build this model.
nlu_enrichment_keywords_model = {} # NluEnrichmentKeywords
nlu_enrichment_keywords_model['sentiment'] = True
nlu_enrichment_keywords_model['emotion'] = True
nlu_enrichment_keywords_model['limit'] = 38
nlu_enrichment_entities_model = {} # NluEnrichmentEntities
nlu_enrichment_entities_model['sentiment'] = True
nlu_enrichment_entities_model['emotion'] = True
nlu_enrichment_entities_model['limit'] = 38
nlu_enrichment_entities_model['mentions'] = True
nlu_enrichment_entities_model['mention_types'] = True
nlu_enrichment_entities_model['sentence_locations'] = True
nlu_enrichment_entities_model['model'] = 'testString'
nlu_enrichment_sentiment_model = {} # NluEnrichmentSentiment
nlu_enrichment_sentiment_model['document'] = True
nlu_enrichment_sentiment_model['targets'] = ['testString']
nlu_enrichment_emotion_model = {} # NluEnrichmentEmotion
nlu_enrichment_emotion_model['document'] = True
nlu_enrichment_emotion_model['targets'] = ['testString']
nlu_enrichment_semantic_roles_model = {} # NluEnrichmentSemanticRoles
nlu_enrichment_semantic_roles_model['entities'] = True
nlu_enrichment_semantic_roles_model['keywords'] = True
nlu_enrichment_semantic_roles_model['limit'] = 38
nlu_enrichment_relations_model = {} # NluEnrichmentRelations
nlu_enrichment_relations_model['model'] = 'testString'
nlu_enrichment_concepts_model = {} # NluEnrichmentConcepts
nlu_enrichment_concepts_model['limit'] = 38
nlu_enrichment_features_model = {} # NluEnrichmentFeatures
nlu_enrichment_features_model['keywords'] = nlu_enrichment_keywords_model
nlu_enrichment_features_model['entities'] = nlu_enrichment_entities_model
nlu_enrichment_features_model['sentiment'] = nlu_enrichment_sentiment_model
nlu_enrichment_features_model['emotion'] = nlu_enrichment_emotion_model
nlu_enrichment_features_model['categories'] = {}
nlu_enrichment_features_model['semantic_roles'] = nlu_enrichment_semantic_roles_model
nlu_enrichment_features_model['relations'] = nlu_enrichment_relations_model
nlu_enrichment_features_model['concepts'] = nlu_enrichment_concepts_model
# Construct a json representation of a EnrichmentOptions model
enrichment_options_model_json = {}
enrichment_options_model_json['features'] = nlu_enrichment_features_model
enrichment_options_model_json['language'] = 'ar'
enrichment_options_model_json['model'] = 'testString'
# Construct a model instance of EnrichmentOptions by calling from_dict on the json representation
enrichment_options_model = EnrichmentOptions.from_dict(enrichment_options_model_json)
assert enrichment_options_model != False
# Construct a model instance of EnrichmentOptions by calling from_dict on the json representation
enrichment_options_model_dict = EnrichmentOptions.from_dict(enrichment_options_model_json).__dict__
enrichment_options_model2 = EnrichmentOptions(**enrichment_options_model_dict)
# Verify the model instances are equivalent
assert enrichment_options_model == enrichment_options_model2
# Convert model instance back to dict and verify no loss of data
enrichment_options_model_json2 = enrichment_options_model.to_dict()
assert enrichment_options_model_json2 == enrichment_options_model_json
class TestEnvironment():
"""
Test Class for Environment
"""
def test_environment_serialization(self):
"""
Test serialization/deserialization for Environment
"""
# Construct dict forms of any model objects needed in order to build this model.
environment_documents_model = {} # EnvironmentDocuments
environment_documents_model['available'] = 38
environment_documents_model['maximum_allowed'] = 1000000
disk_usage_model = {} # DiskUsage
disk_usage_model['used_bytes'] = 0
disk_usage_model['maximum_allowed_bytes'] = 85899345920
collection_usage_model = {} # CollectionUsage
collection_usage_model['available'] = 1
collection_usage_model['maximum_allowed'] = 4
index_capacity_model = {} # IndexCapacity
index_capacity_model['documents'] = environment_documents_model
index_capacity_model['disk_usage'] = disk_usage_model
index_capacity_model['collections'] = collection_usage_model
search_status_model = {} # SearchStatus
search_status_model['scope'] = 'testString'
search_status_model['status'] = 'NO_DATA'
search_status_model['status_description'] = 'testString'
search_status_model['last_trained'] = '2020-01-28'
# Construct a json representation of a Environment model
environment_model_json = {}
environment_model_json['environment_id'] = 'testString'
environment_model_json['name'] = 'testString'
environment_model_json['description'] = 'testString'
environment_model_json['created'] = '2020-01-28T18:40:40.123456Z'
environment_model_json['updated'] = '2020-01-28T18:40:40.123456Z'
environment_model_json['status'] = 'active'
environment_model_json['read_only'] = True
environment_model_json['size'] = 'LT'
environment_model_json['requested_size'] = 'testString'
environment_model_json['index_capacity'] = index_capacity_model
environment_model_json['search_status'] = search_status_model
# Construct a model instance of Environment by calling from_dict on the json representation
environment_model = Environment.from_dict(environment_model_json)
assert environment_model != False
# Construct a model instance of Environment by calling from_dict on the json representation
environment_model_dict = Environment.from_dict(environment_model_json).__dict__
environment_model2 = Environment(**environment_model_dict)
# Verify the model instances are equivalent
assert environment_model == environment_model2
# Convert model instance back to dict and verify no loss of data
environment_model_json2 = environment_model.to_dict()
assert environment_model_json2 == environment_model_json
class TestEnvironmentDocuments():
"""
Test Class for EnvironmentDocuments
"""
def test_environment_documents_serialization(self):
"""
Test serialization/deserialization for EnvironmentDocuments
"""
# Construct a json representation of a EnvironmentDocuments model
environment_documents_model_json = {}
environment_documents_model_json['available'] = 38
environment_documents_model_json['maximum_allowed'] = 38
# Construct a model instance of EnvironmentDocuments by calling from_dict on the json representation
environment_documents_model = EnvironmentDocuments.from_dict(environment_documents_model_json)
assert environment_documents_model != False
# Construct a model instance of EnvironmentDocuments by calling from_dict on the json representation
environment_documents_model_dict = EnvironmentDocuments.from_dict(environment_documents_model_json).__dict__
environment_documents_model2 = EnvironmentDocuments(**environment_documents_model_dict)
# Verify the model instances are equivalent
assert environment_documents_model == environment_documents_model2
# Convert model instance back to dict and verify no loss of data
environment_documents_model_json2 = environment_documents_model.to_dict()
assert environment_documents_model_json2 == environment_documents_model_json
class TestEventData():
"""
Test Class for EventData
"""
def test_event_data_serialization(self):
"""
Test serialization/deserialization for EventData
"""
# Construct a json representation of a EventData model
event_data_model_json = {}
event_data_model_json['environment_id'] = 'testString'
event_data_model_json['session_token'] = 'testString'
event_data_model_json['client_timestamp'] = '2020-01-28T18:40:40.123456Z'
event_data_model_json['display_rank'] = 38
event_data_model_json['collection_id'] = 'testString'
event_data_model_json['document_id'] = 'testString'
event_data_model_json['query_id'] = 'testString'
# Construct a model instance of EventData by calling from_dict on the json representation
event_data_model = EventData.from_dict(event_data_model_json)
assert event_data_model != False
# Construct a model instance of EventData by calling from_dict on the json representation
event_data_model_dict = EventData.from_dict(event_data_model_json).__dict__
event_data_model2 = EventData(**event_data_model_dict)
# Verify the model instances are equivalent
assert event_data_model == event_data_model2
# Convert model instance back to dict and verify no loss of data
event_data_model_json2 = event_data_model.to_dict()
assert event_data_model_json2 == event_data_model_json
class TestExpansion():
"""
Test Class for Expansion
"""
def test_expansion_serialization(self):
"""
Test serialization/deserialization for Expansion
"""
# Construct a json representation of a Expansion model
expansion_model_json = {}
expansion_model_json['input_terms'] = ['testString']
expansion_model_json['expanded_terms'] = ['testString']
# Construct a model instance of Expansion by calling from_dict on the json representation
expansion_model = Expansion.from_dict(expansion_model_json)
assert expansion_model != False
# Construct a model instance of Expansion by calling from_dict on the json representation
expansion_model_dict = Expansion.from_dict(expansion_model_json).__dict__
expansion_model2 = Expansion(**expansion_model_dict)
# Verify the model instances are equivalent
assert expansion_model == expansion_model2
# Convert model instance back to dict and verify no loss of data
expansion_model_json2 = expansion_model.to_dict()
assert expansion_model_json2 == expansion_model_json
class TestExpansions():
"""
Test Class for Expansions
"""
def test_expansions_serialization(self):
"""
Test serialization/deserialization for Expansions
"""
# Construct dict forms of any model objects needed in order to build this model.
expansion_model = {} # Expansion
expansion_model['input_terms'] = ['testString']
expansion_model['expanded_terms'] = ['testString']
# Construct a json representation of a Expansions model
expansions_model_json = {}
expansions_model_json['expansions'] = [expansion_model]
# Construct a model instance of Expansions by calling from_dict on the json representation
expansions_model = Expansions.from_dict(expansions_model_json)
assert expansions_model != False
# Construct a model instance of Expansions by calling from_dict on the json representation
expansions_model_dict = Expansions.from_dict(expansions_model_json).__dict__
expansions_model2 = Expansions(**expansions_model_dict)
# Verify the model instances are equivalent
assert expansions_model == expansions_model2
# Convert model instance back to dict and verify no loss of data
expansions_model_json2 = expansions_model.to_dict()
assert expansions_model_json2 == expansions_model_json
class TestField():
"""
Test Class for Field
"""
def test_field_serialization(self):
"""
Test serialization/deserialization for Field
"""
# Construct a json representation of a Field model
field_model_json = {}
field_model_json['field'] = 'testString'
field_model_json['type'] = 'nested'
# Construct a model instance of Field by calling from_dict on the json representation
field_model = Field.from_dict(field_model_json)
assert field_model != False
# Construct a model instance of Field by calling from_dict on the json representation
field_model_dict = Field.from_dict(field_model_json).__dict__
field_model2 = Field(**field_model_dict)
# Verify the model instances are equivalent
assert field_model == field_model2
# Convert model instance back to dict and verify no loss of data
field_model_json2 = field_model.to_dict()
assert field_model_json2 == field_model_json
class TestFontSetting():
"""
Test Class for FontSetting
"""
def test_font_setting_serialization(self):
"""
Test serialization/deserialization for FontSetting
"""
# Construct a json representation of a FontSetting model
font_setting_model_json = {}
font_setting_model_json['level'] = 38
font_setting_model_json['min_size'] = 38
font_setting_model_json['max_size'] = 38
font_setting_model_json['bold'] = True
font_setting_model_json['italic'] = True
font_setting_model_json['name'] = 'testString'
# Construct a model instance of FontSetting by calling from_dict on the json representation
font_setting_model = FontSetting.from_dict(font_setting_model_json)
assert font_setting_model != False
# Construct a model instance of FontSetting by calling from_dict on the json representation
font_setting_model_dict = FontSetting.from_dict(font_setting_model_json).__dict__
font_setting_model2 = FontSetting(**font_setting_model_dict)
# Verify the model instances are equivalent
assert font_setting_model == font_setting_model2
# Convert model instance back to dict and verify no loss of data
font_setting_model_json2 = font_setting_model.to_dict()
assert font_setting_model_json2 == font_setting_model_json
class TestGateway():
"""
Test Class for Gateway
"""
def test_gateway_serialization(self):
"""
Test serialization/deserialization for Gateway
"""
# Construct a json representation of a Gateway model
gateway_model_json = {}
gateway_model_json['gateway_id'] = 'testString'
gateway_model_json['name'] = 'testString'
gateway_model_json['status'] = 'connected'
gateway_model_json['token'] = 'testString'
gateway_model_json['token_id'] = 'testString'
# Construct a model instance of Gateway by calling from_dict on the json representation
gateway_model = Gateway.from_dict(gateway_model_json)
assert gateway_model != False
# Construct a model instance of Gateway by calling from_dict on the json representation
gateway_model_dict = Gateway.from_dict(gateway_model_json).__dict__
gateway_model2 = Gateway(**gateway_model_dict)
# Verify the model instances are equivalent
assert gateway_model == gateway_model2
# Convert model instance back to dict and verify no loss of data
gateway_model_json2 = gateway_model.to_dict()
assert gateway_model_json2 == gateway_model_json
class TestGatewayDelete():
"""
Test Class for GatewayDelete
"""
def test_gateway_delete_serialization(self):
"""
Test serialization/deserialization for GatewayDelete
"""
# Construct a json representation of a GatewayDelete model
gateway_delete_model_json = {}
gateway_delete_model_json['gateway_id'] = 'testString'
gateway_delete_model_json['status'] = 'testString'
# Construct a model instance of GatewayDelete by calling from_dict on the json representation
gateway_delete_model = GatewayDelete.from_dict(gateway_delete_model_json)
assert gateway_delete_model != False
# Construct a model instance of GatewayDelete by calling from_dict on the json representation
gateway_delete_model_dict = GatewayDelete.from_dict(gateway_delete_model_json).__dict__
gateway_delete_model2 = GatewayDelete(**gateway_delete_model_dict)
# Verify the model instances are equivalent
assert gateway_delete_model == gateway_delete_model2
# Convert model instance back to dict and verify no loss of data
gateway_delete_model_json2 = gateway_delete_model.to_dict()
assert gateway_delete_model_json2 == gateway_delete_model_json
class TestGatewayList():
"""
Test Class for GatewayList
"""
def test_gateway_list_serialization(self):
"""
Test serialization/deserialization for GatewayList
"""
# Construct dict forms of any model objects needed in order to build this model.
gateway_model = {} # Gateway
gateway_model['gateway_id'] = 'testString'
gateway_model['name'] = 'testString'
gateway_model['status'] = 'connected'
gateway_model['token'] = 'testString'
gateway_model['token_id'] = 'testString'
# Construct a json representation of a GatewayList model
gateway_list_model_json = {}
gateway_list_model_json['gateways'] = [gateway_model]
# Construct a model instance of GatewayList by calling from_dict on the json representation
gateway_list_model = GatewayList.from_dict(gateway_list_model_json)
assert gateway_list_model != False
# Construct a model instance of GatewayList by calling from_dict on the json representation
gateway_list_model_dict = GatewayList.from_dict(gateway_list_model_json).__dict__
gateway_list_model2 = GatewayList(**gateway_list_model_dict)
# Verify the model instances are equivalent
assert gateway_list_model == gateway_list_model2
# Convert model instance back to dict and verify no loss of data
gateway_list_model_json2 = gateway_list_model.to_dict()
assert gateway_list_model_json2 == gateway_list_model_json
class TestHtmlSettings():
"""
Test Class for HtmlSettings
"""
def test_html_settings_serialization(self):
"""
Test serialization/deserialization for HtmlSettings
"""
# Construct dict forms of any model objects needed in order to build this model.
x_path_patterns_model = {} # XPathPatterns
x_path_patterns_model['xpaths'] = ['testString']
# Construct a json representation of a HtmlSettings model
html_settings_model_json = {}
html_settings_model_json['exclude_tags_completely'] = ['testString']
html_settings_model_json['exclude_tags_keep_content'] = ['testString']
html_settings_model_json['keep_content'] = x_path_patterns_model
html_settings_model_json['exclude_content'] = x_path_patterns_model
html_settings_model_json['keep_tag_attributes'] = ['testString']
html_settings_model_json['exclude_tag_attributes'] = ['testString']
# Construct a model instance of HtmlSettings by calling from_dict on the json representation
html_settings_model = HtmlSettings.from_dict(html_settings_model_json)
assert html_settings_model != False
# Construct a model instance of HtmlSettings by calling from_dict on the json representation
html_settings_model_dict = HtmlSettings.from_dict(html_settings_model_json).__dict__
html_settings_model2 = HtmlSettings(**html_settings_model_dict)
# Verify the model instances are equivalent
assert html_settings_model == html_settings_model2
# Convert model instance back to dict and verify no loss of data
html_settings_model_json2 = html_settings_model.to_dict()
assert html_settings_model_json2 == html_settings_model_json
class TestIndexCapacity():
"""
Test Class for IndexCapacity
"""
def test_index_capacity_serialization(self):
"""
Test serialization/deserialization for IndexCapacity
"""
# Construct dict forms of any model objects needed in order to build this model.
environment_documents_model = {} # EnvironmentDocuments
environment_documents_model['available'] = 38
environment_documents_model['maximum_allowed'] = 38
disk_usage_model = {} # DiskUsage
disk_usage_model['used_bytes'] = 38
disk_usage_model['maximum_allowed_bytes'] = 38
collection_usage_model = {} # CollectionUsage
collection_usage_model['available'] = 38
collection_usage_model['maximum_allowed'] = 38
# Construct a json representation of a IndexCapacity model
index_capacity_model_json = {}
index_capacity_model_json['documents'] = environment_documents_model
index_capacity_model_json['disk_usage'] = disk_usage_model
index_capacity_model_json['collections'] = collection_usage_model
# Construct a model instance of IndexCapacity by calling from_dict on the json representation
index_capacity_model = IndexCapacity.from_dict(index_capacity_model_json)
assert index_capacity_model != False
# Construct a model instance of IndexCapacity by calling from_dict on the json representation
index_capacity_model_dict = IndexCapacity.from_dict(index_capacity_model_json).__dict__
index_capacity_model2 = IndexCapacity(**index_capacity_model_dict)
# Verify the model instances are equivalent
assert index_capacity_model == index_capacity_model2
# Convert model instance back to dict and verify no loss of data
index_capacity_model_json2 = index_capacity_model.to_dict()
assert index_capacity_model_json2 == index_capacity_model_json
class TestListCollectionFieldsResponse():
"""
Test Class for ListCollectionFieldsResponse
"""
def test_list_collection_fields_response_serialization(self):
"""
Test serialization/deserialization for ListCollectionFieldsResponse
"""
# Construct dict forms of any model objects needed in order to build this model.
field_model = {} # Field
field_model['field'] = 'warnings'
field_model['type'] = 'nested'
# Construct a json representation of a ListCollectionFieldsResponse model
list_collection_fields_response_model_json = {}
list_collection_fields_response_model_json['fields'] = [field_model]
# Construct a model instance of ListCollectionFieldsResponse by calling from_dict on the json representation
list_collection_fields_response_model = ListCollectionFieldsResponse.from_dict(list_collection_fields_response_model_json)
assert list_collection_fields_response_model != False
# Construct a model instance of ListCollectionFieldsResponse by calling from_dict on the json representation
list_collection_fields_response_model_dict = ListCollectionFieldsResponse.from_dict(list_collection_fields_response_model_json).__dict__
list_collection_fields_response_model2 = ListCollectionFieldsResponse(**list_collection_fields_response_model_dict)
# Verify the model instances are equivalent
assert list_collection_fields_response_model == list_collection_fields_response_model2
# Convert model instance back to dict and verify no loss of data
list_collection_fields_response_model_json2 = list_collection_fields_response_model.to_dict()
assert list_collection_fields_response_model_json2 == list_collection_fields_response_model_json
class TestListCollectionsResponse():
"""
Test Class for ListCollectionsResponse
"""
def test_list_collections_response_serialization(self):
"""
Test serialization/deserialization for ListCollectionsResponse
"""
# Construct dict forms of any model objects needed in order to build this model.
document_counts_model = {} # DocumentCounts
document_counts_model['available'] = 26
document_counts_model['processing'] = 26
document_counts_model['failed'] = 26
document_counts_model['pending'] = 26
collection_disk_usage_model = {} # CollectionDiskUsage
collection_disk_usage_model['used_bytes'] = 38
training_status_model = {} # TrainingStatus
training_status_model['total_examples'] = 38
training_status_model['available'] = True
training_status_model['processing'] = True
training_status_model['minimum_queries_added'] = True
training_status_model['minimum_examples_added'] = True
training_status_model['sufficient_label_diversity'] = True
training_status_model['notices'] = 38
training_status_model['successfully_trained'] = '2020-01-28T18:40:40.123456Z'
training_status_model['data_updated'] = '2020-01-28T18:40:40.123456Z'
source_status_model = {} # SourceStatus
source_status_model['status'] = 'running'
source_status_model['next_crawl'] = '2020-01-28T18:40:40.123456Z'
collection_crawl_status_model = {} # CollectionCrawlStatus
collection_crawl_status_model['source_crawl'] = source_status_model
sdu_status_custom_fields_model = {} # SduStatusCustomFields
sdu_status_custom_fields_model['defined'] = 26
sdu_status_custom_fields_model['maximum_allowed'] = 26
sdu_status_model = {} # SduStatus
sdu_status_model['enabled'] = True
sdu_status_model['total_annotated_pages'] = 26
sdu_status_model['total_pages'] = 26
sdu_status_model['total_documents'] = 26
sdu_status_model['custom_fields'] = sdu_status_custom_fields_model
collection_model = {} # Collection
collection_model['collection_id'] = 'f1360220-ea2d-4271-9d62-89a910b13c37'
collection_model['name'] = 'example'
collection_model['description'] = 'this is a demo collection'
collection_model['created'] = '2020-01-28T18:40:40.123456Z'
collection_model['updated'] = '2020-01-28T18:40:40.123456Z'
collection_model['status'] = 'active'
collection_model['configuration_id'] = '6963be41-2dea-4f79-8f52-127c63c479b0'
collection_model['language'] = 'en'
collection_model['document_counts'] = document_counts_model
collection_model['disk_usage'] = collection_disk_usage_model
collection_model['training_status'] = training_status_model
collection_model['crawl_status'] = collection_crawl_status_model
collection_model['smart_document_understanding'] = sdu_status_model
# Construct a json representation of a ListCollectionsResponse model
list_collections_response_model_json = {}
list_collections_response_model_json['collections'] = [collection_model]
# Construct a model instance of ListCollectionsResponse by calling from_dict on the json representation
list_collections_response_model = ListCollectionsResponse.from_dict(list_collections_response_model_json)
assert list_collections_response_model != False
# Construct a model instance of ListCollectionsResponse by calling from_dict on the json representation
list_collections_response_model_dict = ListCollectionsResponse.from_dict(list_collections_response_model_json).__dict__
list_collections_response_model2 = ListCollectionsResponse(**list_collections_response_model_dict)
# Verify the model instances are equivalent
assert list_collections_response_model == list_collections_response_model2
# Convert model instance back to dict and verify no loss of data
list_collections_response_model_json2 = list_collections_response_model.to_dict()
assert list_collections_response_model_json2 == list_collections_response_model_json
class TestListConfigurationsResponse():
"""
Test Class for ListConfigurationsResponse
"""
def test_list_configurations_response_serialization(self):
"""
Test serialization/deserialization for ListConfigurationsResponse
"""
# Construct dict forms of any model objects needed in order to build this model.
font_setting_model = {} # FontSetting
font_setting_model['level'] = 38
font_setting_model['min_size'] = 38
font_setting_model['max_size'] = 38
font_setting_model['bold'] = True
font_setting_model['italic'] = True
font_setting_model['name'] = 'testString'
pdf_heading_detection_model = {} # PdfHeadingDetection
pdf_heading_detection_model['fonts'] = [font_setting_model]
pdf_settings_model = {} # PdfSettings
pdf_settings_model['heading'] = pdf_heading_detection_model
word_style_model = {} # WordStyle
word_style_model['level'] = 38
word_style_model['names'] = ['testString']
word_heading_detection_model = {} # WordHeadingDetection
word_heading_detection_model['fonts'] = [font_setting_model]
word_heading_detection_model['styles'] = [word_style_model]
word_settings_model = {} # WordSettings
word_settings_model['heading'] = word_heading_detection_model
x_path_patterns_model = {} # XPathPatterns
x_path_patterns_model['xpaths'] = ['testString']
html_settings_model = {} # HtmlSettings
html_settings_model['exclude_tags_completely'] = ['testString']
html_settings_model['exclude_tags_keep_content'] = ['testString']
html_settings_model['keep_content'] = x_path_patterns_model
html_settings_model['exclude_content'] = x_path_patterns_model
html_settings_model['keep_tag_attributes'] = ['testString']
html_settings_model['exclude_tag_attributes'] = ['testString']
segment_settings_model = {} # SegmentSettings
segment_settings_model['enabled'] = True
segment_settings_model['selector_tags'] = ['testString']
segment_settings_model['annotated_fields'] = ['testString']
normalization_operation_model = {} # NormalizationOperation
normalization_operation_model['operation'] = 'copy'
normalization_operation_model['source_field'] = 'testString'
normalization_operation_model['destination_field'] = 'testString'
conversions_model = {} # Conversions
conversions_model['pdf'] = pdf_settings_model
conversions_model['word'] = word_settings_model
conversions_model['html'] = html_settings_model
conversions_model['segment'] = segment_settings_model
conversions_model['json_normalizations'] = [normalization_operation_model]
conversions_model['image_text_recognition'] = True
nlu_enrichment_keywords_model = {} # NluEnrichmentKeywords
nlu_enrichment_keywords_model['sentiment'] = True
nlu_enrichment_keywords_model['emotion'] = True
nlu_enrichment_keywords_model['limit'] = 38
nlu_enrichment_entities_model = {} # NluEnrichmentEntities
nlu_enrichment_entities_model['sentiment'] = True
nlu_enrichment_entities_model['emotion'] = True
nlu_enrichment_entities_model['limit'] = 38
nlu_enrichment_entities_model['mentions'] = True
nlu_enrichment_entities_model['mention_types'] = True
nlu_enrichment_entities_model['sentence_locations'] = True
nlu_enrichment_entities_model['model'] = 'testString'
nlu_enrichment_sentiment_model = {} # NluEnrichmentSentiment
nlu_enrichment_sentiment_model['document'] = True
nlu_enrichment_sentiment_model['targets'] = ['testString']
nlu_enrichment_emotion_model = {} # NluEnrichmentEmotion
nlu_enrichment_emotion_model['document'] = True
nlu_enrichment_emotion_model['targets'] = ['testString']
nlu_enrichment_semantic_roles_model = {} # NluEnrichmentSemanticRoles
nlu_enrichment_semantic_roles_model['entities'] = True
nlu_enrichment_semantic_roles_model['keywords'] = True
nlu_enrichment_semantic_roles_model['limit'] = 38
nlu_enrichment_relations_model = {} # NluEnrichmentRelations
nlu_enrichment_relations_model['model'] = 'testString'
nlu_enrichment_concepts_model = {} # NluEnrichmentConcepts
nlu_enrichment_concepts_model['limit'] = 38
nlu_enrichment_features_model = {} # NluEnrichmentFeatures
nlu_enrichment_features_model['keywords'] = nlu_enrichment_keywords_model
nlu_enrichment_features_model['entities'] = nlu_enrichment_entities_model
nlu_enrichment_features_model['sentiment'] = nlu_enrichment_sentiment_model
nlu_enrichment_features_model['emotion'] = nlu_enrichment_emotion_model
nlu_enrichment_features_model['categories'] = {}
nlu_enrichment_features_model['semantic_roles'] = nlu_enrichment_semantic_roles_model
nlu_enrichment_features_model['relations'] = nlu_enrichment_relations_model
nlu_enrichment_features_model['concepts'] = nlu_enrichment_concepts_model
enrichment_options_model = {} # EnrichmentOptions
enrichment_options_model['features'] = nlu_enrichment_features_model
enrichment_options_model['language'] = 'ar'
enrichment_options_model['model'] = 'testString'
enrichment_model = {} # Enrichment
enrichment_model['description'] = 'testString'
enrichment_model['destination_field'] = 'testString'
enrichment_model['source_field'] = 'testString'
enrichment_model['overwrite'] = True
enrichment_model['enrichment'] = 'testString'
enrichment_model['ignore_downstream_errors'] = True
enrichment_model['options'] = enrichment_options_model
source_schedule_model = {} # SourceSchedule
source_schedule_model['enabled'] = True
source_schedule_model['time_zone'] = 'testString'
source_schedule_model['frequency'] = 'daily'
source_options_folder_model = {} # SourceOptionsFolder
source_options_folder_model['owner_user_id'] = 'testString'
source_options_folder_model['folder_id'] = 'testString'
source_options_folder_model['limit'] = 38
source_options_object_model = {} # SourceOptionsObject
source_options_object_model['name'] = 'testString'
source_options_object_model['limit'] = 38
source_options_site_coll_model = {} # SourceOptionsSiteColl
source_options_site_coll_model['site_collection_path'] = 'testString'
source_options_site_coll_model['limit'] = 38
source_options_web_crawl_model = {} # SourceOptionsWebCrawl
source_options_web_crawl_model['url'] = 'testString'
source_options_web_crawl_model['limit_to_starting_hosts'] = True
source_options_web_crawl_model['crawl_speed'] = 'gentle'
source_options_web_crawl_model['allow_untrusted_certificate'] = True
source_options_web_crawl_model['maximum_hops'] = 38
source_options_web_crawl_model['request_timeout'] = 38
source_options_web_crawl_model['override_robots_txt'] = True
source_options_web_crawl_model['blacklist'] = ['testString']
source_options_buckets_model = {} # SourceOptionsBuckets
source_options_buckets_model['name'] = 'testString'
source_options_buckets_model['limit'] = 38
source_options_model = {} # SourceOptions
source_options_model['folders'] = [source_options_folder_model]
source_options_model['objects'] = [source_options_object_model]
source_options_model['site_collections'] = [source_options_site_coll_model]
source_options_model['urls'] = [source_options_web_crawl_model]
source_options_model['buckets'] = [source_options_buckets_model]
source_options_model['crawl_all_buckets'] = True
source_model = {} # Source
source_model['type'] = 'box'
source_model['credential_id'] = 'testString'
source_model['schedule'] = source_schedule_model
source_model['options'] = source_options_model
configuration_model = {} # Configuration
configuration_model['configuration_id'] = 'testString'
configuration_model['name'] = 'testString'
configuration_model['created'] = '2020-01-28T18:40:40.123456Z'
configuration_model['updated'] = '2020-01-28T18:40:40.123456Z'
configuration_model['description'] = 'testString'
configuration_model['conversions'] = conversions_model
configuration_model['enrichments'] = [enrichment_model]
configuration_model['normalizations'] = [normalization_operation_model]
configuration_model['source'] = source_model
# Construct a json representation of a ListConfigurationsResponse model
list_configurations_response_model_json = {}
list_configurations_response_model_json['configurations'] = [configuration_model]
# Construct a model instance of ListConfigurationsResponse by calling from_dict on the json representation
list_configurations_response_model = ListConfigurationsResponse.from_dict(list_configurations_response_model_json)
assert list_configurations_response_model != False
# Construct a model instance of ListConfigurationsResponse by calling from_dict on the json representation
list_configurations_response_model_dict = ListConfigurationsResponse.from_dict(list_configurations_response_model_json).__dict__
list_configurations_response_model2 = ListConfigurationsResponse(**list_configurations_response_model_dict)
# Verify the model instances are equivalent
assert list_configurations_response_model == list_configurations_response_model2
# Convert model instance back to dict and verify no loss of data
list_configurations_response_model_json2 = list_configurations_response_model.to_dict()
assert list_configurations_response_model_json2 == list_configurations_response_model_json
class TestListEnvironmentsResponse():
"""
Test Class for ListEnvironmentsResponse
"""
def test_list_environments_response_serialization(self):
"""
Test serialization/deserialization for ListEnvironmentsResponse
"""
# Construct dict forms of any model objects needed in order to build this model.
environment_documents_model = {} # EnvironmentDocuments
environment_documents_model['available'] = 38
environment_documents_model['maximum_allowed'] = 38
disk_usage_model = {} # DiskUsage
disk_usage_model['used_bytes'] = 38
disk_usage_model['maximum_allowed_bytes'] = 38
collection_usage_model = {} # CollectionUsage
collection_usage_model['available'] = 38
collection_usage_model['maximum_allowed'] = 38
index_capacity_model = {} # IndexCapacity
index_capacity_model['documents'] = environment_documents_model
index_capacity_model['disk_usage'] = disk_usage_model
index_capacity_model['collections'] = collection_usage_model
search_status_model = {} # SearchStatus
search_status_model['scope'] = 'testString'
search_status_model['status'] = 'NO_DATA'
search_status_model['status_description'] = 'testString'
search_status_model['last_trained'] = '2020-01-28'
environment_model = {} # Environment
environment_model['environment_id'] = 'ecbda78e-fb06-40b1-a43f-a039fac0adc6'
environment_model['name'] = 'byod_environment'
environment_model['description'] = 'Private Data Environment'
environment_model['created'] = '2020-01-28T18:40:40.123456Z'
environment_model['updated'] = '2020-01-28T18:40:40.123456Z'
environment_model['status'] = 'active'
environment_model['read_only'] = False
environment_model['size'] = 'LT'
environment_model['requested_size'] = 'testString'
environment_model['index_capacity'] = index_capacity_model
environment_model['search_status'] = search_status_model
# Construct a json representation of a ListEnvironmentsResponse model
list_environments_response_model_json = {}
list_environments_response_model_json['environments'] = [environment_model]
# Construct a model instance of ListEnvironmentsResponse by calling from_dict on the json representation
list_environments_response_model = ListEnvironmentsResponse.from_dict(list_environments_response_model_json)
assert list_environments_response_model != False
# Construct a model instance of ListEnvironmentsResponse by calling from_dict on the json representation
list_environments_response_model_dict = ListEnvironmentsResponse.from_dict(list_environments_response_model_json).__dict__
list_environments_response_model2 = ListEnvironmentsResponse(**list_environments_response_model_dict)
# Verify the model instances are equivalent
assert list_environments_response_model == list_environments_response_model2
# Convert model instance back to dict and verify no loss of data
list_environments_response_model_json2 = list_environments_response_model.to_dict()
assert list_environments_response_model_json2 == list_environments_response_model_json
class TestLogQueryResponse():
"""
Test Class for LogQueryResponse
"""
def test_log_query_response_serialization(self):
"""
Test serialization/deserialization for LogQueryResponse
"""
# Construct dict forms of any model objects needed in order to build this model.
log_query_response_result_documents_result_model = {} # LogQueryResponseResultDocumentsResult
log_query_response_result_documents_result_model['position'] = 38
log_query_response_result_documents_result_model['document_id'] = 'testString'
log_query_response_result_documents_result_model['score'] = 72.5
log_query_response_result_documents_result_model['confidence'] = 72.5
log_query_response_result_documents_result_model['collection_id'] = 'testString'
log_query_response_result_documents_model = {} # LogQueryResponseResultDocuments
log_query_response_result_documents_model['results'] = [log_query_response_result_documents_result_model]
log_query_response_result_documents_model['count'] = 38
log_query_response_result_model = {} # LogQueryResponseResult
log_query_response_result_model['environment_id'] = 'testString'
log_query_response_result_model['customer_id'] = 'testString'
log_query_response_result_model['document_type'] = 'query'
log_query_response_result_model['natural_language_query'] = 'testString'
log_query_response_result_model['document_results'] = log_query_response_result_documents_model
log_query_response_result_model['created_timestamp'] = '2020-01-28T18:40:40.123456Z'
log_query_response_result_model['client_timestamp'] = '2020-01-28T18:40:40.123456Z'
log_query_response_result_model['query_id'] = 'testString'
log_query_response_result_model['session_token'] = 'testString'
log_query_response_result_model['collection_id'] = 'testString'
log_query_response_result_model['display_rank'] = 38
log_query_response_result_model['document_id'] = 'testString'
log_query_response_result_model['event_type'] = 'click'
log_query_response_result_model['result_type'] = 'document'
# Construct a json representation of a LogQueryResponse model
log_query_response_model_json = {}
log_query_response_model_json['matching_results'] = 38
log_query_response_model_json['results'] = [log_query_response_result_model]
# Construct a model instance of LogQueryResponse by calling from_dict on the json representation
log_query_response_model = LogQueryResponse.from_dict(log_query_response_model_json)
assert log_query_response_model != False
# Construct a model instance of LogQueryResponse by calling from_dict on the json representation
log_query_response_model_dict = LogQueryResponse.from_dict(log_query_response_model_json).__dict__
log_query_response_model2 = LogQueryResponse(**log_query_response_model_dict)
# Verify the model instances are equivalent
assert log_query_response_model == log_query_response_model2
# Convert model instance back to dict and verify no loss of data
log_query_response_model_json2 = log_query_response_model.to_dict()
assert log_query_response_model_json2 == log_query_response_model_json
class TestLogQueryResponseResult():
"""
Test Class for LogQueryResponseResult
"""
def test_log_query_response_result_serialization(self):
"""
Test serialization/deserialization for LogQueryResponseResult
"""
# Construct dict forms of any model objects needed in order to build this model.
log_query_response_result_documents_result_model = {} # LogQueryResponseResultDocumentsResult
log_query_response_result_documents_result_model['position'] = 38
log_query_response_result_documents_result_model['document_id'] = 'testString'
log_query_response_result_documents_result_model['score'] = 72.5
log_query_response_result_documents_result_model['confidence'] = 72.5
log_query_response_result_documents_result_model['collection_id'] = 'testString'
log_query_response_result_documents_model = {} # LogQueryResponseResultDocuments
log_query_response_result_documents_model['results'] = [log_query_response_result_documents_result_model]
log_query_response_result_documents_model['count'] = 38
# Construct a json representation of a LogQueryResponseResult model
log_query_response_result_model_json = {}
log_query_response_result_model_json['environment_id'] = 'testString'
log_query_response_result_model_json['customer_id'] = 'testString'
log_query_response_result_model_json['document_type'] = 'query'
log_query_response_result_model_json['natural_language_query'] = 'testString'
log_query_response_result_model_json['document_results'] = log_query_response_result_documents_model
log_query_response_result_model_json['created_timestamp'] = '2020-01-28T18:40:40.123456Z'
log_query_response_result_model_json['client_timestamp'] = '2020-01-28T18:40:40.123456Z'
log_query_response_result_model_json['query_id'] = 'testString'
log_query_response_result_model_json['session_token'] = 'testString'
log_query_response_result_model_json['collection_id'] = 'testString'
log_query_response_result_model_json['display_rank'] = 38
log_query_response_result_model_json['document_id'] = 'testString'
log_query_response_result_model_json['event_type'] = 'click'
log_query_response_result_model_json['result_type'] = 'document'
# Construct a model instance of LogQueryResponseResult by calling from_dict on the json representation
log_query_response_result_model = LogQueryResponseResult.from_dict(log_query_response_result_model_json)
assert log_query_response_result_model != False
# Construct a model instance of LogQueryResponseResult by calling from_dict on the json representation
log_query_response_result_model_dict = LogQueryResponseResult.from_dict(log_query_response_result_model_json).__dict__
log_query_response_result_model2 = LogQueryResponseResult(**log_query_response_result_model_dict)
# Verify the model instances are equivalent
assert log_query_response_result_model == log_query_response_result_model2
# Convert model instance back to dict and verify no loss of data
log_query_response_result_model_json2 = log_query_response_result_model.to_dict()
assert log_query_response_result_model_json2 == log_query_response_result_model_json
class TestLogQueryResponseResultDocuments():
"""
Test Class for LogQueryResponseResultDocuments
"""
def test_log_query_response_result_documents_serialization(self):
"""
Test serialization/deserialization for LogQueryResponseResultDocuments
"""
# Construct dict forms of any model objects needed in order to build this model.
log_query_response_result_documents_result_model = {} # LogQueryResponseResultDocumentsResult
log_query_response_result_documents_result_model['position'] = 38
log_query_response_result_documents_result_model['document_id'] = 'testString'
log_query_response_result_documents_result_model['score'] = 72.5
log_query_response_result_documents_result_model['confidence'] = 72.5
log_query_response_result_documents_result_model['collection_id'] = 'testString'
# Construct a json representation of a LogQueryResponseResultDocuments model
log_query_response_result_documents_model_json = {}
log_query_response_result_documents_model_json['results'] = [log_query_response_result_documents_result_model]
log_query_response_result_documents_model_json['count'] = 38
# Construct a model instance of LogQueryResponseResultDocuments by calling from_dict on the json representation
log_query_response_result_documents_model = LogQueryResponseResultDocuments.from_dict(log_query_response_result_documents_model_json)
assert log_query_response_result_documents_model != False
# Construct a model instance of LogQueryResponseResultDocuments by calling from_dict on the json representation
log_query_response_result_documents_model_dict = LogQueryResponseResultDocuments.from_dict(log_query_response_result_documents_model_json).__dict__
log_query_response_result_documents_model2 = LogQueryResponseResultDocuments(**log_query_response_result_documents_model_dict)
# Verify the model instances are equivalent
assert log_query_response_result_documents_model == log_query_response_result_documents_model2
# Convert model instance back to dict and verify no loss of data
log_query_response_result_documents_model_json2 = log_query_response_result_documents_model.to_dict()
assert log_query_response_result_documents_model_json2 == log_query_response_result_documents_model_json
class TestLogQueryResponseResultDocumentsResult():
"""
Test Class for LogQueryResponseResultDocumentsResult
"""
def test_log_query_response_result_documents_result_serialization(self):
"""
Test serialization/deserialization for LogQueryResponseResultDocumentsResult
"""
# Construct a json representation of a LogQueryResponseResultDocumentsResult model
log_query_response_result_documents_result_model_json = {}
log_query_response_result_documents_result_model_json['position'] = 38
log_query_response_result_documents_result_model_json['document_id'] = 'testString'
log_query_response_result_documents_result_model_json['score'] = 72.5
log_query_response_result_documents_result_model_json['confidence'] = 72.5
log_query_response_result_documents_result_model_json['collection_id'] = 'testString'
# Construct a model instance of LogQueryResponseResultDocumentsResult by calling from_dict on the json representation
log_query_response_result_documents_result_model = LogQueryResponseResultDocumentsResult.from_dict(log_query_response_result_documents_result_model_json)
assert log_query_response_result_documents_result_model != False
# Construct a model instance of LogQueryResponseResultDocumentsResult by calling from_dict on the json representation
log_query_response_result_documents_result_model_dict = LogQueryResponseResultDocumentsResult.from_dict(log_query_response_result_documents_result_model_json).__dict__
log_query_response_result_documents_result_model2 = LogQueryResponseResultDocumentsResult(**log_query_response_result_documents_result_model_dict)
# Verify the model instances are equivalent
assert log_query_response_result_documents_result_model == log_query_response_result_documents_result_model2
# Convert model instance back to dict and verify no loss of data
log_query_response_result_documents_result_model_json2 = log_query_response_result_documents_result_model.to_dict()
assert log_query_response_result_documents_result_model_json2 == log_query_response_result_documents_result_model_json
class TestMetricAggregation():
"""
Test Class for MetricAggregation
"""
def test_metric_aggregation_serialization(self):
"""
Test serialization/deserialization for MetricAggregation
"""
# Construct dict forms of any model objects needed in order to build this model.
metric_aggregation_result_model = {} # MetricAggregationResult
metric_aggregation_result_model['key_as_string'] = '2020-01-28T18:40:40.123456Z'
metric_aggregation_result_model['key'] = 26
metric_aggregation_result_model['matching_results'] = 38
metric_aggregation_result_model['event_rate'] = 72.5
# Construct a json representation of a MetricAggregation model
metric_aggregation_model_json = {}
metric_aggregation_model_json['interval'] = 'testString'
metric_aggregation_model_json['event_type'] = 'testString'
metric_aggregation_model_json['results'] = [metric_aggregation_result_model]
# Construct a model instance of MetricAggregation by calling from_dict on the json representation
metric_aggregation_model = MetricAggregation.from_dict(metric_aggregation_model_json)
assert metric_aggregation_model != False
# Construct a model instance of MetricAggregation by calling from_dict on the json representation
metric_aggregation_model_dict = MetricAggregation.from_dict(metric_aggregation_model_json).__dict__
metric_aggregation_model2 = MetricAggregation(**metric_aggregation_model_dict)
# Verify the model instances are equivalent
assert metric_aggregation_model == metric_aggregation_model2
# Convert model instance back to dict and verify no loss of data
metric_aggregation_model_json2 = metric_aggregation_model.to_dict()
assert metric_aggregation_model_json2 == metric_aggregation_model_json
class TestMetricAggregationResult():
"""
Test Class for MetricAggregationResult
"""
def test_metric_aggregation_result_serialization(self):
"""
Test serialization/deserialization for MetricAggregationResult
"""
# Construct a json representation of a MetricAggregationResult model
metric_aggregation_result_model_json = {}
metric_aggregation_result_model_json['key_as_string'] = '2020-01-28T18:40:40.123456Z'
metric_aggregation_result_model_json['key'] = 26
metric_aggregation_result_model_json['matching_results'] = 38
metric_aggregation_result_model_json['event_rate'] = 72.5
# Construct a model instance of MetricAggregationResult by calling from_dict on the json representation
metric_aggregation_result_model = MetricAggregationResult.from_dict(metric_aggregation_result_model_json)
assert metric_aggregation_result_model != False
# Construct a model instance of MetricAggregationResult by calling from_dict on the json representation
metric_aggregation_result_model_dict = MetricAggregationResult.from_dict(metric_aggregation_result_model_json).__dict__
metric_aggregation_result_model2 = MetricAggregationResult(**metric_aggregation_result_model_dict)
# Verify the model instances are equivalent
assert metric_aggregation_result_model == metric_aggregation_result_model2
# Convert model instance back to dict and verify no loss of data
metric_aggregation_result_model_json2 = metric_aggregation_result_model.to_dict()
assert metric_aggregation_result_model_json2 == metric_aggregation_result_model_json
class TestMetricResponse():
"""
Test Class for MetricResponse
"""
def test_metric_response_serialization(self):
"""
Test serialization/deserialization for MetricResponse
"""
# Construct dict forms of any model objects needed in order to build this model.
metric_aggregation_result_model = {} # MetricAggregationResult
metric_aggregation_result_model['key_as_string'] = '2020-01-28T18:40:40.123456Z'
metric_aggregation_result_model['key'] = 26
metric_aggregation_result_model['matching_results'] = 38
metric_aggregation_result_model['event_rate'] = 72.5
metric_aggregation_model = {} # MetricAggregation
metric_aggregation_model['interval'] = 'testString'
metric_aggregation_model['event_type'] = 'testString'
metric_aggregation_model['results'] = [metric_aggregation_result_model]
# Construct a json representation of a MetricResponse model
metric_response_model_json = {}
metric_response_model_json['aggregations'] = [metric_aggregation_model]
# Construct a model instance of MetricResponse by calling from_dict on the json representation
metric_response_model = MetricResponse.from_dict(metric_response_model_json)
assert metric_response_model != False
# Construct a model instance of MetricResponse by calling from_dict on the json representation
metric_response_model_dict = MetricResponse.from_dict(metric_response_model_json).__dict__
metric_response_model2 = MetricResponse(**metric_response_model_dict)
# Verify the model instances are equivalent
assert metric_response_model == metric_response_model2
# Convert model instance back to dict and verify no loss of data
metric_response_model_json2 = metric_response_model.to_dict()
assert metric_response_model_json2 == metric_response_model_json
class TestMetricTokenAggregation():
"""
Test Class for MetricTokenAggregation
"""
def test_metric_token_aggregation_serialization(self):
"""
Test serialization/deserialization for MetricTokenAggregation
"""
# Construct dict forms of any model objects needed in order to build this model.
metric_token_aggregation_result_model = {} # MetricTokenAggregationResult
metric_token_aggregation_result_model['key'] = 'testString'
metric_token_aggregation_result_model['matching_results'] = 38
metric_token_aggregation_result_model['event_rate'] = 72.5
# Construct a json representation of a MetricTokenAggregation model
metric_token_aggregation_model_json = {}
metric_token_aggregation_model_json['event_type'] = 'testString'
metric_token_aggregation_model_json['results'] = [metric_token_aggregation_result_model]
# Construct a model instance of MetricTokenAggregation by calling from_dict on the json representation
metric_token_aggregation_model = MetricTokenAggregation.from_dict(metric_token_aggregation_model_json)
assert metric_token_aggregation_model != False
# Construct a model instance of MetricTokenAggregation by calling from_dict on the json representation
metric_token_aggregation_model_dict = MetricTokenAggregation.from_dict(metric_token_aggregation_model_json).__dict__
metric_token_aggregation_model2 = MetricTokenAggregation(**metric_token_aggregation_model_dict)
# Verify the model instances are equivalent
assert metric_token_aggregation_model == metric_token_aggregation_model2
# Convert model instance back to dict and verify no loss of data
metric_token_aggregation_model_json2 = metric_token_aggregation_model.to_dict()
assert metric_token_aggregation_model_json2 == metric_token_aggregation_model_json
class TestMetricTokenAggregationResult():
"""
Test Class for MetricTokenAggregationResult
"""
def test_metric_token_aggregation_result_serialization(self):
"""
Test serialization/deserialization for MetricTokenAggregationResult
"""
# Construct a json representation of a MetricTokenAggregationResult model
metric_token_aggregation_result_model_json = {}
metric_token_aggregation_result_model_json['key'] = 'testString'
metric_token_aggregation_result_model_json['matching_results'] = 38
metric_token_aggregation_result_model_json['event_rate'] = 72.5
# Construct a model instance of MetricTokenAggregationResult by calling from_dict on the json representation
metric_token_aggregation_result_model = MetricTokenAggregationResult.from_dict(metric_token_aggregation_result_model_json)
assert metric_token_aggregation_result_model != False
# Construct a model instance of MetricTokenAggregationResult by calling from_dict on the json representation
metric_token_aggregation_result_model_dict = MetricTokenAggregationResult.from_dict(metric_token_aggregation_result_model_json).__dict__
metric_token_aggregation_result_model2 = MetricTokenAggregationResult(**metric_token_aggregation_result_model_dict)
# Verify the model instances are equivalent
assert metric_token_aggregation_result_model == metric_token_aggregation_result_model2
# Convert model instance back to dict and verify no loss of data
metric_token_aggregation_result_model_json2 = metric_token_aggregation_result_model.to_dict()
assert metric_token_aggregation_result_model_json2 == metric_token_aggregation_result_model_json
class TestMetricTokenResponse():
"""
Test Class for MetricTokenResponse
"""
def test_metric_token_response_serialization(self):
"""
Test serialization/deserialization for MetricTokenResponse
"""
# Construct dict forms of any model objects needed in order to build this model.
metric_token_aggregation_result_model = {} # MetricTokenAggregationResult
metric_token_aggregation_result_model['key'] = 'testString'
metric_token_aggregation_result_model['matching_results'] = 38
metric_token_aggregation_result_model['event_rate'] = 72.5
metric_token_aggregation_model = {} # MetricTokenAggregation
metric_token_aggregation_model['event_type'] = 'testString'
metric_token_aggregation_model['results'] = [metric_token_aggregation_result_model]
# Construct a json representation of a MetricTokenResponse model
metric_token_response_model_json = {}
metric_token_response_model_json['aggregations'] = [metric_token_aggregation_model]
# Construct a model instance of MetricTokenResponse by calling from_dict on the json representation
metric_token_response_model = MetricTokenResponse.from_dict(metric_token_response_model_json)
assert metric_token_response_model != False
# Construct a model instance of MetricTokenResponse by calling from_dict on the json representation
metric_token_response_model_dict = MetricTokenResponse.from_dict(metric_token_response_model_json).__dict__
metric_token_response_model2 = MetricTokenResponse(**metric_token_response_model_dict)
# Verify the model instances are equivalent
assert metric_token_response_model == metric_token_response_model2
# Convert model instance back to dict and verify no loss of data
metric_token_response_model_json2 = metric_token_response_model.to_dict()
assert metric_token_response_model_json2 == metric_token_response_model_json
class TestNluEnrichmentConcepts():
"""
Test Class for NluEnrichmentConcepts
"""
def test_nlu_enrichment_concepts_serialization(self):
"""
Test serialization/deserialization for NluEnrichmentConcepts
"""
# Construct a json representation of a NluEnrichmentConcepts model
nlu_enrichment_concepts_model_json = {}
nlu_enrichment_concepts_model_json['limit'] = 38
# Construct a model instance of NluEnrichmentConcepts by calling from_dict on the json representation
nlu_enrichment_concepts_model = NluEnrichmentConcepts.from_dict(nlu_enrichment_concepts_model_json)
assert nlu_enrichment_concepts_model != False
# Construct a model instance of NluEnrichmentConcepts by calling from_dict on the json representation
nlu_enrichment_concepts_model_dict = NluEnrichmentConcepts.from_dict(nlu_enrichment_concepts_model_json).__dict__
nlu_enrichment_concepts_model2 = NluEnrichmentConcepts(**nlu_enrichment_concepts_model_dict)
# Verify the model instances are equivalent
assert nlu_enrichment_concepts_model == nlu_enrichment_concepts_model2
# Convert model instance back to dict and verify no loss of data
nlu_enrichment_concepts_model_json2 = nlu_enrichment_concepts_model.to_dict()
assert nlu_enrichment_concepts_model_json2 == nlu_enrichment_concepts_model_json
class TestNluEnrichmentEmotion():
"""
Test Class for NluEnrichmentEmotion
"""
def test_nlu_enrichment_emotion_serialization(self):
"""
Test serialization/deserialization for NluEnrichmentEmotion
"""
# Construct a json representation of a NluEnrichmentEmotion model
nlu_enrichment_emotion_model_json = {}
nlu_enrichment_emotion_model_json['document'] = True
nlu_enrichment_emotion_model_json['targets'] = ['testString']
# Construct a model instance of NluEnrichmentEmotion by calling from_dict on the json representation
nlu_enrichment_emotion_model = NluEnrichmentEmotion.from_dict(nlu_enrichment_emotion_model_json)
assert nlu_enrichment_emotion_model != False
# Construct a model instance of NluEnrichmentEmotion by calling from_dict on the json representation
nlu_enrichment_emotion_model_dict = NluEnrichmentEmotion.from_dict(nlu_enrichment_emotion_model_json).__dict__
nlu_enrichment_emotion_model2 = NluEnrichmentEmotion(**nlu_enrichment_emotion_model_dict)
# Verify the model instances are equivalent
assert nlu_enrichment_emotion_model == nlu_enrichment_emotion_model2
# Convert model instance back to dict and verify no loss of data
nlu_enrichment_emotion_model_json2 = nlu_enrichment_emotion_model.to_dict()
assert nlu_enrichment_emotion_model_json2 == nlu_enrichment_emotion_model_json
class TestNluEnrichmentEntities():
"""
Test Class for NluEnrichmentEntities
"""
def test_nlu_enrichment_entities_serialization(self):
"""
Test serialization/deserialization for NluEnrichmentEntities
"""
# Construct a json representation of a NluEnrichmentEntities model
nlu_enrichment_entities_model_json = {}
nlu_enrichment_entities_model_json['sentiment'] = True
nlu_enrichment_entities_model_json['emotion'] = True
nlu_enrichment_entities_model_json['limit'] = 38
nlu_enrichment_entities_model_json['mentions'] = True
nlu_enrichment_entities_model_json['mention_types'] = True
nlu_enrichment_entities_model_json['sentence_locations'] = True
nlu_enrichment_entities_model_json['model'] = 'testString'
# Construct a model instance of NluEnrichmentEntities by calling from_dict on the json representation
nlu_enrichment_entities_model = NluEnrichmentEntities.from_dict(nlu_enrichment_entities_model_json)
assert nlu_enrichment_entities_model != False
# Construct a model instance of NluEnrichmentEntities by calling from_dict on the json representation
nlu_enrichment_entities_model_dict = NluEnrichmentEntities.from_dict(nlu_enrichment_entities_model_json).__dict__
nlu_enrichment_entities_model2 = NluEnrichmentEntities(**nlu_enrichment_entities_model_dict)
# Verify the model instances are equivalent
assert nlu_enrichment_entities_model == nlu_enrichment_entities_model2
# Convert model instance back to dict and verify no loss of data
nlu_enrichment_entities_model_json2 = nlu_enrichment_entities_model.to_dict()
assert nlu_enrichment_entities_model_json2 == nlu_enrichment_entities_model_json
class TestNluEnrichmentFeatures():
"""
Test Class for NluEnrichmentFeatures
"""
def test_nlu_enrichment_features_serialization(self):
"""
Test serialization/deserialization for NluEnrichmentFeatures
"""
# Construct dict forms of any model objects needed in order to build this model.
nlu_enrichment_keywords_model = {} # NluEnrichmentKeywords
nlu_enrichment_keywords_model['sentiment'] = True
nlu_enrichment_keywords_model['emotion'] = True
nlu_enrichment_keywords_model['limit'] = 38
nlu_enrichment_entities_model = {} # NluEnrichmentEntities
nlu_enrichment_entities_model['sentiment'] = True
nlu_enrichment_entities_model['emotion'] = True
nlu_enrichment_entities_model['limit'] = 38
nlu_enrichment_entities_model['mentions'] = True
nlu_enrichment_entities_model['mention_types'] = True
nlu_enrichment_entities_model['sentence_locations'] = True
nlu_enrichment_entities_model['model'] = 'testString'
nlu_enrichment_sentiment_model = {} # NluEnrichmentSentiment
nlu_enrichment_sentiment_model['document'] = True
nlu_enrichment_sentiment_model['targets'] = ['testString']
nlu_enrichment_emotion_model = {} # NluEnrichmentEmotion
nlu_enrichment_emotion_model['document'] = True
nlu_enrichment_emotion_model['targets'] = ['testString']
nlu_enrichment_semantic_roles_model = {} # NluEnrichmentSemanticRoles
nlu_enrichment_semantic_roles_model['entities'] = True
nlu_enrichment_semantic_roles_model['keywords'] = True
nlu_enrichment_semantic_roles_model['limit'] = 38
nlu_enrichment_relations_model = {} # NluEnrichmentRelations
nlu_enrichment_relations_model['model'] = 'testString'
nlu_enrichment_concepts_model = {} # NluEnrichmentConcepts
nlu_enrichment_concepts_model['limit'] = 38
# Construct a json representation of a NluEnrichmentFeatures model
nlu_enrichment_features_model_json = {}
nlu_enrichment_features_model_json['keywords'] = nlu_enrichment_keywords_model
nlu_enrichment_features_model_json['entities'] = nlu_enrichment_entities_model
nlu_enrichment_features_model_json['sentiment'] = nlu_enrichment_sentiment_model
nlu_enrichment_features_model_json['emotion'] = nlu_enrichment_emotion_model
nlu_enrichment_features_model_json['categories'] = {}
nlu_enrichment_features_model_json['semantic_roles'] = nlu_enrichment_semantic_roles_model
nlu_enrichment_features_model_json['relations'] = nlu_enrichment_relations_model
nlu_enrichment_features_model_json['concepts'] = nlu_enrichment_concepts_model
# Construct a model instance of NluEnrichmentFeatures by calling from_dict on the json representation
nlu_enrichment_features_model = NluEnrichmentFeatures.from_dict(nlu_enrichment_features_model_json)
assert nlu_enrichment_features_model != False
# Construct a model instance of NluEnrichmentFeatures by calling from_dict on the json representation
nlu_enrichment_features_model_dict = NluEnrichmentFeatures.from_dict(nlu_enrichment_features_model_json).__dict__
nlu_enrichment_features_model2 = NluEnrichmentFeatures(**nlu_enrichment_features_model_dict)
# Verify the model instances are equivalent
assert nlu_enrichment_features_model == nlu_enrichment_features_model2
# Convert model instance back to dict and verify no loss of data
nlu_enrichment_features_model_json2 = nlu_enrichment_features_model.to_dict()
assert nlu_enrichment_features_model_json2 == nlu_enrichment_features_model_json
class TestNluEnrichmentKeywords():
"""
Test Class for NluEnrichmentKeywords
"""
def test_nlu_enrichment_keywords_serialization(self):
"""
Test serialization/deserialization for NluEnrichmentKeywords
"""
# Construct a json representation of a NluEnrichmentKeywords model
nlu_enrichment_keywords_model_json = {}
nlu_enrichment_keywords_model_json['sentiment'] = True
nlu_enrichment_keywords_model_json['emotion'] = True
nlu_enrichment_keywords_model_json['limit'] = 38
# Construct a model instance of NluEnrichmentKeywords by calling from_dict on the json representation
nlu_enrichment_keywords_model = NluEnrichmentKeywords.from_dict(nlu_enrichment_keywords_model_json)
assert nlu_enrichment_keywords_model != False
# Construct a model instance of NluEnrichmentKeywords by calling from_dict on the json representation
nlu_enrichment_keywords_model_dict = NluEnrichmentKeywords.from_dict(nlu_enrichment_keywords_model_json).__dict__
nlu_enrichment_keywords_model2 = NluEnrichmentKeywords(**nlu_enrichment_keywords_model_dict)
# Verify the model instances are equivalent
assert nlu_enrichment_keywords_model == nlu_enrichment_keywords_model2
# Convert model instance back to dict and verify no loss of data
nlu_enrichment_keywords_model_json2 = nlu_enrichment_keywords_model.to_dict()
assert nlu_enrichment_keywords_model_json2 == nlu_enrichment_keywords_model_json
class TestNluEnrichmentRelations():
"""
Test Class for NluEnrichmentRelations
"""
def test_nlu_enrichment_relations_serialization(self):
"""
Test serialization/deserialization for NluEnrichmentRelations
"""
# Construct a json representation of a NluEnrichmentRelations model
nlu_enrichment_relations_model_json = {}
nlu_enrichment_relations_model_json['model'] = 'testString'
# Construct a model instance of NluEnrichmentRelations by calling from_dict on the json representation
nlu_enrichment_relations_model = NluEnrichmentRelations.from_dict(nlu_enrichment_relations_model_json)
assert nlu_enrichment_relations_model != False
# Construct a model instance of NluEnrichmentRelations by calling from_dict on the json representation
nlu_enrichment_relations_model_dict = NluEnrichmentRelations.from_dict(nlu_enrichment_relations_model_json).__dict__
nlu_enrichment_relations_model2 = NluEnrichmentRelations(**nlu_enrichment_relations_model_dict)
# Verify the model instances are equivalent
assert nlu_enrichment_relations_model == nlu_enrichment_relations_model2
# Convert model instance back to dict and verify no loss of data
nlu_enrichment_relations_model_json2 = nlu_enrichment_relations_model.to_dict()
assert nlu_enrichment_relations_model_json2 == nlu_enrichment_relations_model_json
class TestNluEnrichmentSemanticRoles():
"""
Test Class for NluEnrichmentSemanticRoles
"""
def test_nlu_enrichment_semantic_roles_serialization(self):
"""
Test serialization/deserialization for NluEnrichmentSemanticRoles
"""
# Construct a json representation of a NluEnrichmentSemanticRoles model
nlu_enrichment_semantic_roles_model_json = {}
nlu_enrichment_semantic_roles_model_json['entities'] = True
nlu_enrichment_semantic_roles_model_json['keywords'] = True
nlu_enrichment_semantic_roles_model_json['limit'] = 38
# Construct a model instance of NluEnrichmentSemanticRoles by calling from_dict on the json representation
nlu_enrichment_semantic_roles_model = NluEnrichmentSemanticRoles.from_dict(nlu_enrichment_semantic_roles_model_json)
assert nlu_enrichment_semantic_roles_model != False
# Construct a model instance of NluEnrichmentSemanticRoles by calling from_dict on the json representation
nlu_enrichment_semantic_roles_model_dict = NluEnrichmentSemanticRoles.from_dict(nlu_enrichment_semantic_roles_model_json).__dict__
nlu_enrichment_semantic_roles_model2 = NluEnrichmentSemanticRoles(**nlu_enrichment_semantic_roles_model_dict)
# Verify the model instances are equivalent
assert nlu_enrichment_semantic_roles_model == nlu_enrichment_semantic_roles_model2
# Convert model instance back to dict and verify no loss of data
nlu_enrichment_semantic_roles_model_json2 = nlu_enrichment_semantic_roles_model.to_dict()
assert nlu_enrichment_semantic_roles_model_json2 == nlu_enrichment_semantic_roles_model_json
class TestNluEnrichmentSentiment():
"""
Test Class for NluEnrichmentSentiment
"""
def test_nlu_enrichment_sentiment_serialization(self):
"""
Test serialization/deserialization for NluEnrichmentSentiment
"""
# Construct a json representation of a NluEnrichmentSentiment model
nlu_enrichment_sentiment_model_json = {}
nlu_enrichment_sentiment_model_json['document'] = True
nlu_enrichment_sentiment_model_json['targets'] = ['testString']
# Construct a model instance of NluEnrichmentSentiment by calling from_dict on the json representation
nlu_enrichment_sentiment_model = NluEnrichmentSentiment.from_dict(nlu_enrichment_sentiment_model_json)
assert nlu_enrichment_sentiment_model != False
# Construct a model instance of NluEnrichmentSentiment by calling from_dict on the json representation
nlu_enrichment_sentiment_model_dict = NluEnrichmentSentiment.from_dict(nlu_enrichment_sentiment_model_json).__dict__
nlu_enrichment_sentiment_model2 = NluEnrichmentSentiment(**nlu_enrichment_sentiment_model_dict)
# Verify the model instances are equivalent
assert nlu_enrichment_sentiment_model == nlu_enrichment_sentiment_model2
# Convert model instance back to dict and verify no loss of data
nlu_enrichment_sentiment_model_json2 = nlu_enrichment_sentiment_model.to_dict()
assert nlu_enrichment_sentiment_model_json2 == nlu_enrichment_sentiment_model_json
class TestNormalizationOperation():
"""
Test Class for NormalizationOperation
"""
def test_normalization_operation_serialization(self):
"""
Test serialization/deserialization for NormalizationOperation
"""
# Construct a json representation of a NormalizationOperation model
normalization_operation_model_json = {}
normalization_operation_model_json['operation'] = 'copy'
normalization_operation_model_json['source_field'] = 'testString'
normalization_operation_model_json['destination_field'] = 'testString'
# Construct a model instance of NormalizationOperation by calling from_dict on the json representation
normalization_operation_model = NormalizationOperation.from_dict(normalization_operation_model_json)
assert normalization_operation_model != False
# Construct a model instance of NormalizationOperation by calling from_dict on the json representation
normalization_operation_model_dict = NormalizationOperation.from_dict(normalization_operation_model_json).__dict__
normalization_operation_model2 = NormalizationOperation(**normalization_operation_model_dict)
# Verify the model instances are equivalent
assert normalization_operation_model == normalization_operation_model2
# Convert model instance back to dict and verify no loss of data
normalization_operation_model_json2 = normalization_operation_model.to_dict()
assert normalization_operation_model_json2 == normalization_operation_model_json
class TestNotice():
"""
Test Class for Notice
"""
def test_notice_serialization(self):
"""
Test serialization/deserialization for Notice
"""
# Construct a json representation of a Notice model
notice_model_json = {}
notice_model_json['notice_id'] = 'testString'
notice_model_json['created'] = '2020-01-28T18:40:40.123456Z'
notice_model_json['document_id'] = 'testString'
notice_model_json['query_id'] = 'testString'
notice_model_json['severity'] = 'warning'
notice_model_json['step'] = 'testString'
notice_model_json['description'] = 'testString'
# Construct a model instance of Notice by calling from_dict on the json representation
notice_model = Notice.from_dict(notice_model_json)
assert notice_model != False
# Construct a model instance of Notice by calling from_dict on the json representation
notice_model_dict = Notice.from_dict(notice_model_json).__dict__
notice_model2 = Notice(**notice_model_dict)
# Verify the model instances are equivalent
assert notice_model == notice_model2
# Convert model instance back to dict and verify no loss of data
notice_model_json2 = notice_model.to_dict()
assert notice_model_json2 == notice_model_json
class TestPdfHeadingDetection():
"""
Test Class for PdfHeadingDetection
"""
def test_pdf_heading_detection_serialization(self):
"""
Test serialization/deserialization for PdfHeadingDetection
"""
# Construct dict forms of any model objects needed in order to build this model.
font_setting_model = {} # FontSetting
font_setting_model['level'] = 38
font_setting_model['min_size'] = 38
font_setting_model['max_size'] = 38
font_setting_model['bold'] = True
font_setting_model['italic'] = True
font_setting_model['name'] = 'testString'
# Construct a json representation of a PdfHeadingDetection model
pdf_heading_detection_model_json = {}
pdf_heading_detection_model_json['fonts'] = [font_setting_model]
# Construct a model instance of PdfHeadingDetection by calling from_dict on the json representation
pdf_heading_detection_model = PdfHeadingDetection.from_dict(pdf_heading_detection_model_json)
assert pdf_heading_detection_model != False
# Construct a model instance of PdfHeadingDetection by calling from_dict on the json representation
pdf_heading_detection_model_dict = PdfHeadingDetection.from_dict(pdf_heading_detection_model_json).__dict__
pdf_heading_detection_model2 = PdfHeadingDetection(**pdf_heading_detection_model_dict)
# Verify the model instances are equivalent
assert pdf_heading_detection_model == pdf_heading_detection_model2
# Convert model instance back to dict and verify no loss of data
pdf_heading_detection_model_json2 = pdf_heading_detection_model.to_dict()
assert pdf_heading_detection_model_json2 == pdf_heading_detection_model_json
class TestPdfSettings():
"""
Test Class for PdfSettings
"""
def test_pdf_settings_serialization(self):
"""
Test serialization/deserialization for PdfSettings
"""
# Construct dict forms of any model objects needed in order to build this model.
font_setting_model = {} # FontSetting
font_setting_model['level'] = 38
font_setting_model['min_size'] = 38
font_setting_model['max_size'] = 38
font_setting_model['bold'] = True
font_setting_model['italic'] = True
font_setting_model['name'] = 'testString'
pdf_heading_detection_model = {} # PdfHeadingDetection
pdf_heading_detection_model['fonts'] = [font_setting_model]
# Construct a json representation of a PdfSettings model
pdf_settings_model_json = {}
pdf_settings_model_json['heading'] = pdf_heading_detection_model
# Construct a model instance of PdfSettings by calling from_dict on the json representation
pdf_settings_model = PdfSettings.from_dict(pdf_settings_model_json)
assert pdf_settings_model != False
# Construct a model instance of PdfSettings by calling from_dict on the json representation
pdf_settings_model_dict = PdfSettings.from_dict(pdf_settings_model_json).__dict__
pdf_settings_model2 = PdfSettings(**pdf_settings_model_dict)
# Verify the model instances are equivalent
assert pdf_settings_model == pdf_settings_model2
# Convert model instance back to dict and verify no loss of data
pdf_settings_model_json2 = pdf_settings_model.to_dict()
assert pdf_settings_model_json2 == pdf_settings_model_json
class TestQueryAggregation():
"""
Test Class for QueryAggregation
"""
def test_query_aggregation_serialization(self):
"""
Test serialization/deserialization for QueryAggregation
"""
# Construct a json representation of a QueryAggregation model
query_aggregation_model_json = {}
query_aggregation_model_json['type'] = 'testString'
query_aggregation_model_json['matching_results'] = 38
# Construct a model instance of QueryAggregation by calling from_dict on the json representation
query_aggregation_model = QueryAggregation.from_dict(query_aggregation_model_json)
assert query_aggregation_model != False
# Construct a copy of the model instance by calling from_dict on the output of to_dict
query_aggregation_model_json2 = query_aggregation_model.to_dict()
query_aggregation_model2 = QueryAggregation.from_dict(query_aggregation_model_json2)
# Verify the model instances are equivalent
assert query_aggregation_model == query_aggregation_model2
# Convert model instance back to dict and verify no loss of data
query_aggregation_model_json2 = query_aggregation_model.to_dict()
assert query_aggregation_model_json2 == query_aggregation_model_json
class TestQueryNoticesResponse():
"""
Test Class for QueryNoticesResponse
"""
def test_query_notices_response_serialization(self):
"""
Test serialization/deserialization for QueryNoticesResponse
"""
# Construct dict forms of any model objects needed in order to build this model.
query_result_metadata_model = {} # QueryResultMetadata
query_result_metadata_model['score'] = 72.5
query_result_metadata_model['confidence'] = 72.5
notice_model = {} # Notice
notice_model['notice_id'] = 'xpath_not_found'
notice_model['created'] = '2020-01-28T18:40:40.123456Z'
notice_model['document_id'] = '030ba125-29db-43f2-8552-f941ae30a7a8'
notice_model['query_id'] = 'testString'
notice_model['severity'] = 'warning'
notice_model['step'] = 'html-to-html'
notice_model['description'] = 'The xpath expression "boom" was not found.'
query_notices_result_model = {} # QueryNoticesResult
query_notices_result_model['id'] = '030ba125-29db-43f2-8552-f941ae30a7a8'
query_notices_result_model['metadata'] = {}
query_notices_result_model['collection_id'] = 'f1360220-ea2d-4271-9d62-89a910b13c37'
query_notices_result_model['result_metadata'] = query_result_metadata_model
query_notices_result_model['code'] = 200
query_notices_result_model['filename'] = 'instructions.html'
query_notices_result_model['file_type'] = 'html'
query_notices_result_model['sha1'] = 'de9f2c7fd25e1b3afad3e85a0bd17d9b100db4b3'
query_notices_result_model['notices'] = [notice_model]
query_notices_result_model['foo'] = { 'foo': 'bar' }
query_aggregation_model = {} # Histogram
query_aggregation_model['type'] = 'histogram'
query_aggregation_model['matching_results'] = 38
query_aggregation_model['field'] = 'testString'
query_aggregation_model['interval'] = 38
query_passages_model = {} # QueryPassages
query_passages_model['document_id'] = 'testString'
query_passages_model['passage_score'] = 72.5
query_passages_model['passage_text'] = 'testString'
query_passages_model['start_offset'] = 38
query_passages_model['end_offset'] = 38
query_passages_model['field'] = 'testString'
# Construct a json representation of a QueryNoticesResponse model
query_notices_response_model_json = {}
query_notices_response_model_json['matching_results'] = 38
query_notices_response_model_json['results'] = [query_notices_result_model]
query_notices_response_model_json['aggregations'] = [query_aggregation_model]
query_notices_response_model_json['passages'] = [query_passages_model]
query_notices_response_model_json['duplicates_removed'] = 38
# Construct a model instance of QueryNoticesResponse by calling from_dict on the json representation
query_notices_response_model = QueryNoticesResponse.from_dict(query_notices_response_model_json)
assert query_notices_response_model != False
# Construct a model instance of QueryNoticesResponse by calling from_dict on the json representation
query_notices_response_model_dict = QueryNoticesResponse.from_dict(query_notices_response_model_json).__dict__
query_notices_response_model2 = QueryNoticesResponse(**query_notices_response_model_dict)
# Verify the model instances are equivalent
assert query_notices_response_model == query_notices_response_model2
# Convert model instance back to dict and verify no loss of data
query_notices_response_model_json2 = query_notices_response_model.to_dict()
assert query_notices_response_model_json2 == query_notices_response_model_json
class TestQueryNoticesResult():
"""
Test Class for QueryNoticesResult
"""
def test_query_notices_result_serialization(self):
"""
Test serialization/deserialization for QueryNoticesResult
"""
# Construct dict forms of any model objects needed in order to build this model.
query_result_metadata_model = {} # QueryResultMetadata
query_result_metadata_model['score'] = 72.5
query_result_metadata_model['confidence'] = 72.5
notice_model = {} # Notice
notice_model['notice_id'] = 'testString'
notice_model['created'] = '2020-01-28T18:40:40.123456Z'
notice_model['document_id'] = 'testString'
notice_model['query_id'] = 'testString'
notice_model['severity'] = 'warning'
notice_model['step'] = 'testString'
notice_model['description'] = 'testString'
# Construct a json representation of a QueryNoticesResult model
query_notices_result_model_json = {}
query_notices_result_model_json['id'] = 'testString'
query_notices_result_model_json['metadata'] = {}
query_notices_result_model_json['collection_id'] = 'testString'
query_notices_result_model_json['result_metadata'] = query_result_metadata_model
query_notices_result_model_json['code'] = 38
query_notices_result_model_json['filename'] = 'testString'
query_notices_result_model_json['file_type'] = 'pdf'
query_notices_result_model_json['sha1'] = 'testString'
query_notices_result_model_json['notices'] = [notice_model]
query_notices_result_model_json['foo'] = { 'foo': 'bar' }
# Construct a model instance of QueryNoticesResult by calling from_dict on the json representation
query_notices_result_model = QueryNoticesResult.from_dict(query_notices_result_model_json)
assert query_notices_result_model != False
# Construct a model instance of QueryNoticesResult by calling from_dict on the json representation
query_notices_result_model_dict = QueryNoticesResult.from_dict(query_notices_result_model_json).__dict__
query_notices_result_model2 = QueryNoticesResult(**query_notices_result_model_dict)
# Verify the model instances are equivalent
assert query_notices_result_model == query_notices_result_model2
# Convert model instance back to dict and verify no loss of data
query_notices_result_model_json2 = query_notices_result_model.to_dict()
assert query_notices_result_model_json2 == query_notices_result_model_json
class TestQueryPassages():
"""
Test Class for QueryPassages
"""
def test_query_passages_serialization(self):
"""
Test serialization/deserialization for QueryPassages
"""
# Construct a json representation of a QueryPassages model
query_passages_model_json = {}
query_passages_model_json['document_id'] = 'testString'
query_passages_model_json['passage_score'] = 72.5
query_passages_model_json['passage_text'] = 'testString'
query_passages_model_json['start_offset'] = 38
query_passages_model_json['end_offset'] = 38
query_passages_model_json['field'] = 'testString'
# Construct a model instance of QueryPassages by calling from_dict on the json representation
query_passages_model = QueryPassages.from_dict(query_passages_model_json)
assert query_passages_model != False
# Construct a model instance of QueryPassages by calling from_dict on the json representation
query_passages_model_dict = QueryPassages.from_dict(query_passages_model_json).__dict__
query_passages_model2 = QueryPassages(**query_passages_model_dict)
# Verify the model instances are equivalent
assert query_passages_model == query_passages_model2
# Convert model instance back to dict and verify no loss of data
query_passages_model_json2 = query_passages_model.to_dict()
assert query_passages_model_json2 == query_passages_model_json
class TestQueryResponse():
"""
Test Class for QueryResponse
"""
def test_query_response_serialization(self):
"""
Test serialization/deserialization for QueryResponse
"""
# Construct dict forms of any model objects needed in order to build this model.
query_result_metadata_model = {} # QueryResultMetadata
query_result_metadata_model['score'] = 72.5
query_result_metadata_model['confidence'] = 72.5
query_result_model = {} # QueryResult
query_result_model['id'] = 'watson-generated ID'
query_result_model['metadata'] = {}
query_result_model['collection_id'] = 'testString'
query_result_model['result_metadata'] = query_result_metadata_model
query_result_model['foo'] = { 'foo': 'bar' }
query_aggregation_model = {} # Histogram
query_aggregation_model['type'] = 'histogram'
query_aggregation_model['matching_results'] = 38
query_aggregation_model['field'] = 'testString'
query_aggregation_model['interval'] = 38
query_passages_model = {} # QueryPassages
query_passages_model['document_id'] = 'testString'
query_passages_model['passage_score'] = 72.5
query_passages_model['passage_text'] = 'testString'
query_passages_model['start_offset'] = 38
query_passages_model['end_offset'] = 38
query_passages_model['field'] = 'testString'
retrieval_details_model = {} # RetrievalDetails
retrieval_details_model['document_retrieval_strategy'] = 'untrained'
# Construct a json representation of a QueryResponse model
query_response_model_json = {}
query_response_model_json['matching_results'] = 38
query_response_model_json['results'] = [query_result_model]
query_response_model_json['aggregations'] = [query_aggregation_model]
query_response_model_json['passages'] = [query_passages_model]
query_response_model_json['duplicates_removed'] = 38
query_response_model_json['session_token'] = 'testString'
query_response_model_json['retrieval_details'] = retrieval_details_model
query_response_model_json['suggested_query'] = 'testString'
# Construct a model instance of QueryResponse by calling from_dict on the json representation
query_response_model = QueryResponse.from_dict(query_response_model_json)
assert query_response_model != False
# Construct a model instance of QueryResponse by calling from_dict on the json representation
query_response_model_dict = QueryResponse.from_dict(query_response_model_json).__dict__
query_response_model2 = QueryResponse(**query_response_model_dict)
# Verify the model instances are equivalent
assert query_response_model == query_response_model2
# Convert model instance back to dict and verify no loss of data
query_response_model_json2 = query_response_model.to_dict()
assert query_response_model_json2 == query_response_model_json
class TestQueryResult():
"""
Test Class for QueryResult
"""
def test_query_result_serialization(self):
"""
Test serialization/deserialization for QueryResult
"""
# Construct dict forms of any model objects needed in order to build this model.
query_result_metadata_model = {} # QueryResultMetadata
query_result_metadata_model['score'] = 72.5
query_result_metadata_model['confidence'] = 72.5
# Construct a json representation of a QueryResult model
query_result_model_json = {}
query_result_model_json['id'] = 'testString'
query_result_model_json['metadata'] = {}
query_result_model_json['collection_id'] = 'testString'
query_result_model_json['result_metadata'] = query_result_metadata_model
query_result_model_json['foo'] = { 'foo': 'bar' }
# Construct a model instance of QueryResult by calling from_dict on the json representation
query_result_model = QueryResult.from_dict(query_result_model_json)
assert query_result_model != False
# Construct a model instance of QueryResult by calling from_dict on the json representation
query_result_model_dict = QueryResult.from_dict(query_result_model_json).__dict__
query_result_model2 = QueryResult(**query_result_model_dict)
# Verify the model instances are equivalent
assert query_result_model == query_result_model2
# Convert model instance back to dict and verify no loss of data
query_result_model_json2 = query_result_model.to_dict()
assert query_result_model_json2 == query_result_model_json
class TestQueryResultMetadata():
"""
Test Class for QueryResultMetadata
"""
def test_query_result_metadata_serialization(self):
"""
Test serialization/deserialization for QueryResultMetadata
"""
# Construct a json representation of a QueryResultMetadata model
query_result_metadata_model_json = {}
query_result_metadata_model_json['score'] = 72.5
query_result_metadata_model_json['confidence'] = 72.5
# Construct a model instance of QueryResultMetadata by calling from_dict on the json representation
query_result_metadata_model = QueryResultMetadata.from_dict(query_result_metadata_model_json)
assert query_result_metadata_model != False
# Construct a model instance of QueryResultMetadata by calling from_dict on the json representation
query_result_metadata_model_dict = QueryResultMetadata.from_dict(query_result_metadata_model_json).__dict__
query_result_metadata_model2 = QueryResultMetadata(**query_result_metadata_model_dict)
# Verify the model instances are equivalent
assert query_result_metadata_model == query_result_metadata_model2
# Convert model instance back to dict and verify no loss of data
query_result_metadata_model_json2 = query_result_metadata_model.to_dict()
assert query_result_metadata_model_json2 == query_result_metadata_model_json
class TestRetrievalDetails():
"""
Test Class for RetrievalDetails
"""
def test_retrieval_details_serialization(self):
"""
Test serialization/deserialization for RetrievalDetails
"""
# Construct a json representation of a RetrievalDetails model
retrieval_details_model_json = {}
retrieval_details_model_json['document_retrieval_strategy'] = 'untrained'
# Construct a model instance of RetrievalDetails by calling from_dict on the json representation
retrieval_details_model = RetrievalDetails.from_dict(retrieval_details_model_json)
assert retrieval_details_model != False
# Construct a model instance of RetrievalDetails by calling from_dict on the json representation
retrieval_details_model_dict = RetrievalDetails.from_dict(retrieval_details_model_json).__dict__
retrieval_details_model2 = RetrievalDetails(**retrieval_details_model_dict)
# Verify the model instances are equivalent
assert retrieval_details_model == retrieval_details_model2
# Convert model instance back to dict and verify no loss of data
retrieval_details_model_json2 = retrieval_details_model.to_dict()
assert retrieval_details_model_json2 == retrieval_details_model_json
class TestSduStatus():
"""
Test Class for SduStatus
"""
def test_sdu_status_serialization(self):
"""
Test serialization/deserialization for SduStatus
"""
# Construct dict forms of any model objects needed in order to build this model.
sdu_status_custom_fields_model = {} # SduStatusCustomFields
sdu_status_custom_fields_model['defined'] = 26
sdu_status_custom_fields_model['maximum_allowed'] = 26
# Construct a json representation of a SduStatus model
sdu_status_model_json = {}
sdu_status_model_json['enabled'] = True
sdu_status_model_json['total_annotated_pages'] = 26
sdu_status_model_json['total_pages'] = 26
sdu_status_model_json['total_documents'] = 26
sdu_status_model_json['custom_fields'] = sdu_status_custom_fields_model
# Construct a model instance of SduStatus by calling from_dict on the json representation
sdu_status_model = SduStatus.from_dict(sdu_status_model_json)
assert sdu_status_model != False
# Construct a model instance of SduStatus by calling from_dict on the json representation
sdu_status_model_dict = SduStatus.from_dict(sdu_status_model_json).__dict__
sdu_status_model2 = SduStatus(**sdu_status_model_dict)
# Verify the model instances are equivalent
assert sdu_status_model == sdu_status_model2
# Convert model instance back to dict and verify no loss of data
sdu_status_model_json2 = sdu_status_model.to_dict()
assert sdu_status_model_json2 == sdu_status_model_json
class TestSduStatusCustomFields():
"""
Test Class for SduStatusCustomFields
"""
def test_sdu_status_custom_fields_serialization(self):
"""
Test serialization/deserialization for SduStatusCustomFields
"""
# Construct a json representation of a SduStatusCustomFields model
sdu_status_custom_fields_model_json = {}
sdu_status_custom_fields_model_json['defined'] = 26
sdu_status_custom_fields_model_json['maximum_allowed'] = 26
# Construct a model instance of SduStatusCustomFields by calling from_dict on the json representation
sdu_status_custom_fields_model = SduStatusCustomFields.from_dict(sdu_status_custom_fields_model_json)
assert sdu_status_custom_fields_model != False
# Construct a model instance of SduStatusCustomFields by calling from_dict on the json representation
sdu_status_custom_fields_model_dict = SduStatusCustomFields.from_dict(sdu_status_custom_fields_model_json).__dict__
sdu_status_custom_fields_model2 = SduStatusCustomFields(**sdu_status_custom_fields_model_dict)
# Verify the model instances are equivalent
assert sdu_status_custom_fields_model == sdu_status_custom_fields_model2
# Convert model instance back to dict and verify no loss of data
sdu_status_custom_fields_model_json2 = sdu_status_custom_fields_model.to_dict()
assert sdu_status_custom_fields_model_json2 == sdu_status_custom_fields_model_json
class TestSearchStatus():
"""
Test Class for SearchStatus
"""
def test_search_status_serialization(self):
"""
Test serialization/deserialization for SearchStatus
"""
# Construct a json representation of a SearchStatus model
search_status_model_json = {}
search_status_model_json['scope'] = 'testString'
search_status_model_json['status'] = 'NO_DATA'
search_status_model_json['status_description'] = 'testString'
search_status_model_json['last_trained'] = '2020-01-28'
# Construct a model instance of SearchStatus by calling from_dict on the json representation
search_status_model = SearchStatus.from_dict(search_status_model_json)
assert search_status_model != False
# Construct a model instance of SearchStatus by calling from_dict on the json representation
search_status_model_dict = SearchStatus.from_dict(search_status_model_json).__dict__
search_status_model2 = SearchStatus(**search_status_model_dict)
# Verify the model instances are equivalent
assert search_status_model == search_status_model2
# Convert model instance back to dict and verify no loss of data
search_status_model_json2 = search_status_model.to_dict()
assert search_status_model_json2 == search_status_model_json
class TestSegmentSettings():
"""
Test Class for SegmentSettings
"""
def test_segment_settings_serialization(self):
"""
Test serialization/deserialization for SegmentSettings
"""
# Construct a json representation of a SegmentSettings model
segment_settings_model_json = {}
segment_settings_model_json['enabled'] = True
segment_settings_model_json['selector_tags'] = ['testString']
segment_settings_model_json['annotated_fields'] = ['testString']
# Construct a model instance of SegmentSettings by calling from_dict on the json representation
segment_settings_model = SegmentSettings.from_dict(segment_settings_model_json)
assert segment_settings_model != False
# Construct a model instance of SegmentSettings by calling from_dict on the json representation
segment_settings_model_dict = SegmentSettings.from_dict(segment_settings_model_json).__dict__
segment_settings_model2 = SegmentSettings(**segment_settings_model_dict)
# Verify the model instances are equivalent
assert segment_settings_model == segment_settings_model2
# Convert model instance back to dict and verify no loss of data
segment_settings_model_json2 = segment_settings_model.to_dict()
assert segment_settings_model_json2 == segment_settings_model_json
class TestSource():
"""
Test Class for Source
"""
def test_source_serialization(self):
"""
Test serialization/deserialization for Source
"""
# Construct dict forms of any model objects needed in order to build this model.
source_schedule_model = {} # SourceSchedule
source_schedule_model['enabled'] = True
source_schedule_model['time_zone'] = 'testString'
source_schedule_model['frequency'] = 'daily'
source_options_folder_model = {} # SourceOptionsFolder
source_options_folder_model['owner_user_id'] = 'testString'
source_options_folder_model['folder_id'] = 'testString'
source_options_folder_model['limit'] = 38
source_options_object_model = {} # SourceOptionsObject
source_options_object_model['name'] = 'testString'
source_options_object_model['limit'] = 38
source_options_site_coll_model = {} # SourceOptionsSiteColl
source_options_site_coll_model['site_collection_path'] = 'testString'
source_options_site_coll_model['limit'] = 38
source_options_web_crawl_model = {} # SourceOptionsWebCrawl
source_options_web_crawl_model['url'] = 'testString'
source_options_web_crawl_model['limit_to_starting_hosts'] = True
source_options_web_crawl_model['crawl_speed'] = 'gentle'
source_options_web_crawl_model['allow_untrusted_certificate'] = True
source_options_web_crawl_model['maximum_hops'] = 38
source_options_web_crawl_model['request_timeout'] = 38
source_options_web_crawl_model['override_robots_txt'] = True
source_options_web_crawl_model['blacklist'] = ['testString']
source_options_buckets_model = {} # SourceOptionsBuckets
source_options_buckets_model['name'] = 'testString'
source_options_buckets_model['limit'] = 38
source_options_model = {} # SourceOptions
source_options_model['folders'] = [source_options_folder_model]
source_options_model['objects'] = [source_options_object_model]
source_options_model['site_collections'] = [source_options_site_coll_model]
source_options_model['urls'] = [source_options_web_crawl_model]
source_options_model['buckets'] = [source_options_buckets_model]
source_options_model['crawl_all_buckets'] = True
# Construct a json representation of a Source model
source_model_json = {}
source_model_json['type'] = 'box'
source_model_json['credential_id'] = 'testString'
source_model_json['schedule'] = source_schedule_model
source_model_json['options'] = source_options_model
# Construct a model instance of Source by calling from_dict on the json representation
source_model = Source.from_dict(source_model_json)
assert source_model != False
# Construct a model instance of Source by calling from_dict on the json representation
source_model_dict = Source.from_dict(source_model_json).__dict__
source_model2 = Source(**source_model_dict)
# Verify the model instances are equivalent
assert source_model == source_model2
# Convert model instance back to dict and verify no loss of data
source_model_json2 = source_model.to_dict()
assert source_model_json2 == source_model_json
class TestSourceOptions():
"""
Test Class for SourceOptions
"""
def test_source_options_serialization(self):
"""
Test serialization/deserialization for SourceOptions
"""
# Construct dict forms of any model objects needed in order to build this model.
source_options_folder_model = {} # SourceOptionsFolder
source_options_folder_model['owner_user_id'] = 'testString'
source_options_folder_model['folder_id'] = 'testString'
source_options_folder_model['limit'] = 38
source_options_object_model = {} # SourceOptionsObject
source_options_object_model['name'] = 'testString'
source_options_object_model['limit'] = 38
source_options_site_coll_model = {} # SourceOptionsSiteColl
source_options_site_coll_model['site_collection_path'] = 'testString'
source_options_site_coll_model['limit'] = 38
source_options_web_crawl_model = {} # SourceOptionsWebCrawl
source_options_web_crawl_model['url'] = 'testString'
source_options_web_crawl_model['limit_to_starting_hosts'] = True
source_options_web_crawl_model['crawl_speed'] = 'gentle'
source_options_web_crawl_model['allow_untrusted_certificate'] = True
source_options_web_crawl_model['maximum_hops'] = 38
source_options_web_crawl_model['request_timeout'] = 38
source_options_web_crawl_model['override_robots_txt'] = True
source_options_web_crawl_model['blacklist'] = ['testString']
source_options_buckets_model = {} # SourceOptionsBuckets
source_options_buckets_model['name'] = 'testString'
source_options_buckets_model['limit'] = 38
# Construct a json representation of a SourceOptions model
source_options_model_json = {}
source_options_model_json['folders'] = [source_options_folder_model]
source_options_model_json['objects'] = [source_options_object_model]
source_options_model_json['site_collections'] = [source_options_site_coll_model]
source_options_model_json['urls'] = [source_options_web_crawl_model]
source_options_model_json['buckets'] = [source_options_buckets_model]
source_options_model_json['crawl_all_buckets'] = True
# Construct a model instance of SourceOptions by calling from_dict on the json representation
source_options_model = SourceOptions.from_dict(source_options_model_json)
assert source_options_model != False
# Construct a model instance of SourceOptions by calling from_dict on the json representation
source_options_model_dict = SourceOptions.from_dict(source_options_model_json).__dict__
source_options_model2 = SourceOptions(**source_options_model_dict)
# Verify the model instances are equivalent
assert source_options_model == source_options_model2
# Convert model instance back to dict and verify no loss of data
source_options_model_json2 = source_options_model.to_dict()
assert source_options_model_json2 == source_options_model_json
class TestSourceOptionsBuckets():
"""
Test Class for SourceOptionsBuckets
"""
def test_source_options_buckets_serialization(self):
"""
Test serialization/deserialization for SourceOptionsBuckets
"""
# Construct a json representation of a SourceOptionsBuckets model
source_options_buckets_model_json = {}
source_options_buckets_model_json['name'] = 'testString'
source_options_buckets_model_json['limit'] = 38
# Construct a model instance of SourceOptionsBuckets by calling from_dict on the json representation
source_options_buckets_model = SourceOptionsBuckets.from_dict(source_options_buckets_model_json)
assert source_options_buckets_model != False
# Construct a model instance of SourceOptionsBuckets by calling from_dict on the json representation
source_options_buckets_model_dict = SourceOptionsBuckets.from_dict(source_options_buckets_model_json).__dict__
source_options_buckets_model2 = SourceOptionsBuckets(**source_options_buckets_model_dict)
# Verify the model instances are equivalent
assert source_options_buckets_model == source_options_buckets_model2
# Convert model instance back to dict and verify no loss of data
source_options_buckets_model_json2 = source_options_buckets_model.to_dict()
assert source_options_buckets_model_json2 == source_options_buckets_model_json
class TestSourceOptionsFolder():
"""
Test Class for SourceOptionsFolder
"""
def test_source_options_folder_serialization(self):
"""
Test serialization/deserialization for SourceOptionsFolder
"""
# Construct a json representation of a SourceOptionsFolder model
source_options_folder_model_json = {}
source_options_folder_model_json['owner_user_id'] = 'testString'
source_options_folder_model_json['folder_id'] = 'testString'
source_options_folder_model_json['limit'] = 38
# Construct a model instance of SourceOptionsFolder by calling from_dict on the json representation
source_options_folder_model = SourceOptionsFolder.from_dict(source_options_folder_model_json)
assert source_options_folder_model != False
# Construct a model instance of SourceOptionsFolder by calling from_dict on the json representation
source_options_folder_model_dict = SourceOptionsFolder.from_dict(source_options_folder_model_json).__dict__
source_options_folder_model2 = SourceOptionsFolder(**source_options_folder_model_dict)
# Verify the model instances are equivalent
assert source_options_folder_model == source_options_folder_model2
# Convert model instance back to dict and verify no loss of data
source_options_folder_model_json2 = source_options_folder_model.to_dict()
assert source_options_folder_model_json2 == source_options_folder_model_json
class TestSourceOptionsObject():
"""
Test Class for SourceOptionsObject
"""
def test_source_options_object_serialization(self):
"""
Test serialization/deserialization for SourceOptionsObject
"""
# Construct a json representation of a SourceOptionsObject model
source_options_object_model_json = {}
source_options_object_model_json['name'] = 'testString'
source_options_object_model_json['limit'] = 38
# Construct a model instance of SourceOptionsObject by calling from_dict on the json representation
source_options_object_model = SourceOptionsObject.from_dict(source_options_object_model_json)
assert source_options_object_model != False
# Construct a model instance of SourceOptionsObject by calling from_dict on the json representation
source_options_object_model_dict = SourceOptionsObject.from_dict(source_options_object_model_json).__dict__
source_options_object_model2 = SourceOptionsObject(**source_options_object_model_dict)
# Verify the model instances are equivalent
assert source_options_object_model == source_options_object_model2
# Convert model instance back to dict and verify no loss of data
source_options_object_model_json2 = source_options_object_model.to_dict()
assert source_options_object_model_json2 == source_options_object_model_json
class TestSourceOptionsSiteColl():
"""
Test Class for SourceOptionsSiteColl
"""
def test_source_options_site_coll_serialization(self):
"""
Test serialization/deserialization for SourceOptionsSiteColl
"""
# Construct a json representation of a SourceOptionsSiteColl model
source_options_site_coll_model_json = {}
source_options_site_coll_model_json['site_collection_path'] = 'testString'
source_options_site_coll_model_json['limit'] = 38
# Construct a model instance of SourceOptionsSiteColl by calling from_dict on the json representation
source_options_site_coll_model = SourceOptionsSiteColl.from_dict(source_options_site_coll_model_json)
assert source_options_site_coll_model != False
# Construct a model instance of SourceOptionsSiteColl by calling from_dict on the json representation
source_options_site_coll_model_dict = SourceOptionsSiteColl.from_dict(source_options_site_coll_model_json).__dict__
source_options_site_coll_model2 = SourceOptionsSiteColl(**source_options_site_coll_model_dict)
# Verify the model instances are equivalent
assert source_options_site_coll_model == source_options_site_coll_model2
# Convert model instance back to dict and verify no loss of data
source_options_site_coll_model_json2 = source_options_site_coll_model.to_dict()
assert source_options_site_coll_model_json2 == source_options_site_coll_model_json
class TestSourceOptionsWebCrawl():
"""
Test Class for SourceOptionsWebCrawl
"""
def test_source_options_web_crawl_serialization(self):
"""
Test serialization/deserialization for SourceOptionsWebCrawl
"""
# Construct a json representation of a SourceOptionsWebCrawl model
source_options_web_crawl_model_json = {}
source_options_web_crawl_model_json['url'] = 'testString'
source_options_web_crawl_model_json['limit_to_starting_hosts'] = True
source_options_web_crawl_model_json['crawl_speed'] = 'gentle'
source_options_web_crawl_model_json['allow_untrusted_certificate'] = True
source_options_web_crawl_model_json['maximum_hops'] = 38
source_options_web_crawl_model_json['request_timeout'] = 38
source_options_web_crawl_model_json['override_robots_txt'] = True
source_options_web_crawl_model_json['blacklist'] = ['testString']
# Construct a model instance of SourceOptionsWebCrawl by calling from_dict on the json representation
source_options_web_crawl_model = SourceOptionsWebCrawl.from_dict(source_options_web_crawl_model_json)
assert source_options_web_crawl_model != False
# Construct a model instance of SourceOptionsWebCrawl by calling from_dict on the json representation
source_options_web_crawl_model_dict = SourceOptionsWebCrawl.from_dict(source_options_web_crawl_model_json).__dict__
source_options_web_crawl_model2 = SourceOptionsWebCrawl(**source_options_web_crawl_model_dict)
# Verify the model instances are equivalent
assert source_options_web_crawl_model == source_options_web_crawl_model2
# Convert model instance back to dict and verify no loss of data
source_options_web_crawl_model_json2 = source_options_web_crawl_model.to_dict()
assert source_options_web_crawl_model_json2 == source_options_web_crawl_model_json
class TestSourceSchedule():
"""
Test Class for SourceSchedule
"""
def test_source_schedule_serialization(self):
"""
Test serialization/deserialization for SourceSchedule
"""
# Construct a json representation of a SourceSchedule model
source_schedule_model_json = {}
source_schedule_model_json['enabled'] = True
source_schedule_model_json['time_zone'] = 'testString'
source_schedule_model_json['frequency'] = 'daily'
# Construct a model instance of SourceSchedule by calling from_dict on the json representation
source_schedule_model = SourceSchedule.from_dict(source_schedule_model_json)
assert source_schedule_model != False
# Construct a model instance of SourceSchedule by calling from_dict on the json representation
source_schedule_model_dict = SourceSchedule.from_dict(source_schedule_model_json).__dict__
source_schedule_model2 = SourceSchedule(**source_schedule_model_dict)
# Verify the model instances are equivalent
assert source_schedule_model == source_schedule_model2
# Convert model instance back to dict and verify no loss of data
source_schedule_model_json2 = source_schedule_model.to_dict()
assert source_schedule_model_json2 == source_schedule_model_json
class TestSourceStatus():
"""
Test Class for SourceStatus
"""
def test_source_status_serialization(self):
"""
Test serialization/deserialization for SourceStatus
"""
# Construct a json representation of a SourceStatus model
source_status_model_json = {}
source_status_model_json['status'] = 'running'
source_status_model_json['next_crawl'] = '2020-01-28T18:40:40.123456Z'
# Construct a model instance of SourceStatus by calling from_dict on the json representation
source_status_model = SourceStatus.from_dict(source_status_model_json)
assert source_status_model != False
# Construct a model instance of SourceStatus by calling from_dict on the json representation
source_status_model_dict = SourceStatus.from_dict(source_status_model_json).__dict__
source_status_model2 = SourceStatus(**source_status_model_dict)
# Verify the model instances are equivalent
assert source_status_model == source_status_model2
# Convert model instance back to dict and verify no loss of data
source_status_model_json2 = source_status_model.to_dict()
assert source_status_model_json2 == source_status_model_json
class TestTokenDictRule():
"""
Test Class for TokenDictRule
"""
def test_token_dict_rule_serialization(self):
"""
Test serialization/deserialization for TokenDictRule
"""
# Construct a json representation of a TokenDictRule model
token_dict_rule_model_json = {}
token_dict_rule_model_json['text'] = 'testString'
token_dict_rule_model_json['tokens'] = ['testString']
token_dict_rule_model_json['readings'] = ['testString']
token_dict_rule_model_json['part_of_speech'] = 'testString'
# Construct a model instance of TokenDictRule by calling from_dict on the json representation
token_dict_rule_model = TokenDictRule.from_dict(token_dict_rule_model_json)
assert token_dict_rule_model != False
# Construct a model instance of TokenDictRule by calling from_dict on the json representation
token_dict_rule_model_dict = TokenDictRule.from_dict(token_dict_rule_model_json).__dict__
token_dict_rule_model2 = TokenDictRule(**token_dict_rule_model_dict)
# Verify the model instances are equivalent
assert token_dict_rule_model == token_dict_rule_model2
# Convert model instance back to dict and verify no loss of data
token_dict_rule_model_json2 = token_dict_rule_model.to_dict()
assert token_dict_rule_model_json2 == token_dict_rule_model_json
class TestTokenDictStatusResponse():
"""
Test Class for TokenDictStatusResponse
"""
def test_token_dict_status_response_serialization(self):
"""
Test serialization/deserialization for TokenDictStatusResponse
"""
# Construct a json representation of a TokenDictStatusResponse model
token_dict_status_response_model_json = {}
token_dict_status_response_model_json['status'] = 'active'
token_dict_status_response_model_json['type'] = 'testString'
# Construct a model instance of TokenDictStatusResponse by calling from_dict on the json representation
token_dict_status_response_model = TokenDictStatusResponse.from_dict(token_dict_status_response_model_json)
assert token_dict_status_response_model != False
# Construct a model instance of TokenDictStatusResponse by calling from_dict on the json representation
token_dict_status_response_model_dict = TokenDictStatusResponse.from_dict(token_dict_status_response_model_json).__dict__
token_dict_status_response_model2 = TokenDictStatusResponse(**token_dict_status_response_model_dict)
# Verify the model instances are equivalent
assert token_dict_status_response_model == token_dict_status_response_model2
# Convert model instance back to dict and verify no loss of data
token_dict_status_response_model_json2 = token_dict_status_response_model.to_dict()
assert token_dict_status_response_model_json2 == token_dict_status_response_model_json
class TestTopHitsResults():
"""
Test Class for TopHitsResults
"""
def test_top_hits_results_serialization(self):
"""
Test serialization/deserialization for TopHitsResults
"""
# Construct dict forms of any model objects needed in order to build this model.
query_result_metadata_model = {} # QueryResultMetadata
query_result_metadata_model['score'] = 72.5
query_result_metadata_model['confidence'] = 72.5
query_result_model = {} # QueryResult
query_result_model['id'] = 'testString'
query_result_model['metadata'] = {}
query_result_model['collection_id'] = 'testString'
query_result_model['result_metadata'] = query_result_metadata_model
query_result_model['foo'] = { 'foo': 'bar' }
# Construct a json representation of a TopHitsResults model
top_hits_results_model_json = {}
top_hits_results_model_json['matching_results'] = 38
top_hits_results_model_json['hits'] = [query_result_model]
# Construct a model instance of TopHitsResults by calling from_dict on the json representation
top_hits_results_model = TopHitsResults.from_dict(top_hits_results_model_json)
assert top_hits_results_model != False
# Construct a model instance of TopHitsResults by calling from_dict on the json representation
top_hits_results_model_dict = TopHitsResults.from_dict(top_hits_results_model_json).__dict__
top_hits_results_model2 = TopHitsResults(**top_hits_results_model_dict)
# Verify the model instances are equivalent
assert top_hits_results_model == top_hits_results_model2
# Convert model instance back to dict and verify no loss of data
top_hits_results_model_json2 = top_hits_results_model.to_dict()
assert top_hits_results_model_json2 == top_hits_results_model_json
class TestTrainingDataSet():
"""
Test Class for TrainingDataSet
"""
def test_training_data_set_serialization(self):
"""
Test serialization/deserialization for TrainingDataSet
"""
# Construct dict forms of any model objects needed in order to build this model.
training_example_model = {} # TrainingExample
training_example_model['document_id'] = 'testString'
training_example_model['cross_reference'] = 'testString'
training_example_model['relevance'] = 38
training_query_model = {} # TrainingQuery
training_query_model['query_id'] = 'testString'
training_query_model['natural_language_query'] = 'testString'
training_query_model['filter'] = 'testString'
training_query_model['examples'] = [training_example_model]
# Construct a json representation of a TrainingDataSet model
training_data_set_model_json = {}
training_data_set_model_json['environment_id'] = 'testString'
training_data_set_model_json['collection_id'] = 'testString'
training_data_set_model_json['queries'] = [training_query_model]
# Construct a model instance of TrainingDataSet by calling from_dict on the json representation
training_data_set_model = TrainingDataSet.from_dict(training_data_set_model_json)
assert training_data_set_model != False
# Construct a model instance of TrainingDataSet by calling from_dict on the json representation
training_data_set_model_dict = TrainingDataSet.from_dict(training_data_set_model_json).__dict__
training_data_set_model2 = TrainingDataSet(**training_data_set_model_dict)
# Verify the model instances are equivalent
assert training_data_set_model == training_data_set_model2
# Convert model instance back to dict and verify no loss of data
training_data_set_model_json2 = training_data_set_model.to_dict()
assert training_data_set_model_json2 == training_data_set_model_json
class TestTrainingExample():
"""
Test Class for TrainingExample
"""
def test_training_example_serialization(self):
"""
Test serialization/deserialization for TrainingExample
"""
# Construct a json representation of a TrainingExample model
training_example_model_json = {}
training_example_model_json['document_id'] = 'testString'
training_example_model_json['cross_reference'] = 'testString'
training_example_model_json['relevance'] = 38
# Construct a model instance of TrainingExample by calling from_dict on the json representation
training_example_model = TrainingExample.from_dict(training_example_model_json)
assert training_example_model != False
# Construct a model instance of TrainingExample by calling from_dict on the json representation
training_example_model_dict = TrainingExample.from_dict(training_example_model_json).__dict__
training_example_model2 = TrainingExample(**training_example_model_dict)
# Verify the model instances are equivalent
assert training_example_model == training_example_model2
# Convert model instance back to dict and verify no loss of data
training_example_model_json2 = training_example_model.to_dict()
assert training_example_model_json2 == training_example_model_json
class TestTrainingExampleList():
"""
Test Class for TrainingExampleList
"""
def test_training_example_list_serialization(self):
"""
Test serialization/deserialization for TrainingExampleList
"""
# Construct dict forms of any model objects needed in order to build this model.
training_example_model = {} # TrainingExample
training_example_model['document_id'] = 'testString'
training_example_model['cross_reference'] = 'testString'
training_example_model['relevance'] = 38
# Construct a json representation of a TrainingExampleList model
training_example_list_model_json = {}
training_example_list_model_json['examples'] = [training_example_model]
# Construct a model instance of TrainingExampleList by calling from_dict on the json representation
training_example_list_model = TrainingExampleList.from_dict(training_example_list_model_json)
assert training_example_list_model != False
# Construct a model instance of TrainingExampleList by calling from_dict on the json representation
training_example_list_model_dict = TrainingExampleList.from_dict(training_example_list_model_json).__dict__
training_example_list_model2 = TrainingExampleList(**training_example_list_model_dict)
# Verify the model instances are equivalent
assert training_example_list_model == training_example_list_model2
# Convert model instance back to dict and verify no loss of data
training_example_list_model_json2 = training_example_list_model.to_dict()
assert training_example_list_model_json2 == training_example_list_model_json
class TestTrainingQuery():
"""
Test Class for TrainingQuery
"""
def test_training_query_serialization(self):
"""
Test serialization/deserialization for TrainingQuery
"""
# Construct dict forms of any model objects needed in order to build this model.
training_example_model = {} # TrainingExample
training_example_model['document_id'] = 'testString'
training_example_model['cross_reference'] = 'testString'
training_example_model['relevance'] = 38
# Construct a json representation of a TrainingQuery model
training_query_model_json = {}
training_query_model_json['query_id'] = 'testString'
training_query_model_json['natural_language_query'] = 'testString'
training_query_model_json['filter'] = 'testString'
training_query_model_json['examples'] = [training_example_model]
# Construct a model instance of TrainingQuery by calling from_dict on the json representation
training_query_model = TrainingQuery.from_dict(training_query_model_json)
assert training_query_model != False
# Construct a model instance of TrainingQuery by calling from_dict on the json representation
training_query_model_dict = TrainingQuery.from_dict(training_query_model_json).__dict__
training_query_model2 = TrainingQuery(**training_query_model_dict)
# Verify the model instances are equivalent
assert training_query_model == training_query_model2
# Convert model instance back to dict and verify no loss of data
training_query_model_json2 = training_query_model.to_dict()
assert training_query_model_json2 == training_query_model_json
class TestTrainingStatus():
"""
Test Class for TrainingStatus
"""
def test_training_status_serialization(self):
"""
Test serialization/deserialization for TrainingStatus
"""
# Construct a json representation of a TrainingStatus model
training_status_model_json = {}
training_status_model_json['total_examples'] = 38
training_status_model_json['available'] = True
training_status_model_json['processing'] = True
training_status_model_json['minimum_queries_added'] = True
training_status_model_json['minimum_examples_added'] = True
training_status_model_json['sufficient_label_diversity'] = True
training_status_model_json['notices'] = 38
training_status_model_json['successfully_trained'] = '2020-01-28T18:40:40.123456Z'
training_status_model_json['data_updated'] = '2020-01-28T18:40:40.123456Z'
# Construct a model instance of TrainingStatus by calling from_dict on the json representation
training_status_model = TrainingStatus.from_dict(training_status_model_json)
assert training_status_model != False
# Construct a model instance of TrainingStatus by calling from_dict on the json representation
training_status_model_dict = TrainingStatus.from_dict(training_status_model_json).__dict__
training_status_model2 = TrainingStatus(**training_status_model_dict)
# Verify the model instances are equivalent
assert training_status_model == training_status_model2
# Convert model instance back to dict and verify no loss of data
training_status_model_json2 = training_status_model.to_dict()
assert training_status_model_json2 == training_status_model_json
class TestWordHeadingDetection():
"""
Test Class for WordHeadingDetection
"""
def test_word_heading_detection_serialization(self):
"""
Test serialization/deserialization for WordHeadingDetection
"""
# Construct dict forms of any model objects needed in order to build this model.
font_setting_model = {} # FontSetting
font_setting_model['level'] = 38
font_setting_model['min_size'] = 38
font_setting_model['max_size'] = 38
font_setting_model['bold'] = True
font_setting_model['italic'] = True
font_setting_model['name'] = 'testString'
word_style_model = {} # WordStyle
word_style_model['level'] = 38
word_style_model['names'] = ['testString']
# Construct a json representation of a WordHeadingDetection model
word_heading_detection_model_json = {}
word_heading_detection_model_json['fonts'] = [font_setting_model]
word_heading_detection_model_json['styles'] = [word_style_model]
# Construct a model instance of WordHeadingDetection by calling from_dict on the json representation
word_heading_detection_model = WordHeadingDetection.from_dict(word_heading_detection_model_json)
assert word_heading_detection_model != False
# Construct a model instance of WordHeadingDetection by calling from_dict on the json representation
word_heading_detection_model_dict = WordHeadingDetection.from_dict(word_heading_detection_model_json).__dict__
word_heading_detection_model2 = WordHeadingDetection(**word_heading_detection_model_dict)
# Verify the model instances are equivalent
assert word_heading_detection_model == word_heading_detection_model2
# Convert model instance back to dict and verify no loss of data
word_heading_detection_model_json2 = word_heading_detection_model.to_dict()
assert word_heading_detection_model_json2 == word_heading_detection_model_json
class TestWordSettings():
"""
Test Class for WordSettings
"""
def test_word_settings_serialization(self):
"""
Test serialization/deserialization for WordSettings
"""
# Construct dict forms of any model objects needed in order to build this model.
font_setting_model = {} # FontSetting
font_setting_model['level'] = 38
font_setting_model['min_size'] = 38
font_setting_model['max_size'] = 38
font_setting_model['bold'] = True
font_setting_model['italic'] = True
font_setting_model['name'] = 'testString'
word_style_model = {} # WordStyle
word_style_model['level'] = 38
word_style_model['names'] = ['testString']
word_heading_detection_model = {} # WordHeadingDetection
word_heading_detection_model['fonts'] = [font_setting_model]
word_heading_detection_model['styles'] = [word_style_model]
# Construct a json representation of a WordSettings model
word_settings_model_json = {}
word_settings_model_json['heading'] = word_heading_detection_model
# Construct a model instance of WordSettings by calling from_dict on the json representation
word_settings_model = WordSettings.from_dict(word_settings_model_json)
assert word_settings_model != False
# Construct a model instance of WordSettings by calling from_dict on the json representation
word_settings_model_dict = WordSettings.from_dict(word_settings_model_json).__dict__
word_settings_model2 = WordSettings(**word_settings_model_dict)
# Verify the model instances are equivalent
assert word_settings_model == word_settings_model2
# Convert model instance back to dict and verify no loss of data
word_settings_model_json2 = word_settings_model.to_dict()
assert word_settings_model_json2 == word_settings_model_json
class TestWordStyle():
"""
Test Class for WordStyle
"""
def test_word_style_serialization(self):
"""
Test serialization/deserialization for WordStyle
"""
# Construct a json representation of a WordStyle model
word_style_model_json = {}
word_style_model_json['level'] = 38
word_style_model_json['names'] = ['testString']
# Construct a model instance of WordStyle by calling from_dict on the json representation
word_style_model = WordStyle.from_dict(word_style_model_json)
assert word_style_model != False
# Construct a model instance of WordStyle by calling from_dict on the json representation
word_style_model_dict = WordStyle.from_dict(word_style_model_json).__dict__
word_style_model2 = WordStyle(**word_style_model_dict)
# Verify the model instances are equivalent
assert word_style_model == word_style_model2
# Convert model instance back to dict and verify no loss of data
word_style_model_json2 = word_style_model.to_dict()
assert word_style_model_json2 == word_style_model_json
class TestXPathPatterns():
"""
Test Class for XPathPatterns
"""
def test_x_path_patterns_serialization(self):
"""
Test serialization/deserialization for XPathPatterns
"""
# Construct a json representation of a XPathPatterns model
x_path_patterns_model_json = {}
x_path_patterns_model_json['xpaths'] = ['testString']
# Construct a model instance of XPathPatterns by calling from_dict on the json representation
x_path_patterns_model = XPathPatterns.from_dict(x_path_patterns_model_json)
assert x_path_patterns_model != False
# Construct a model instance of XPathPatterns by calling from_dict on the json representation
x_path_patterns_model_dict = XPathPatterns.from_dict(x_path_patterns_model_json).__dict__
x_path_patterns_model2 = XPathPatterns(**x_path_patterns_model_dict)
# Verify the model instances are equivalent
assert x_path_patterns_model == x_path_patterns_model2
# Convert model instance back to dict and verify no loss of data
x_path_patterns_model_json2 = x_path_patterns_model.to_dict()
assert x_path_patterns_model_json2 == x_path_patterns_model_json
class TestCalculation():
"""
Test Class for Calculation
"""
def test_calculation_serialization(self):
"""
Test serialization/deserialization for Calculation
"""
# Construct a json representation of a Calculation model
calculation_model_json = {}
calculation_model_json['type'] = 'unique_count'
calculation_model_json['matching_results'] = 38
calculation_model_json['field'] = 'testString'
calculation_model_json['value'] = 72.5
# Construct a model instance of Calculation by calling from_dict on the json representation
calculation_model = Calculation.from_dict(calculation_model_json)
assert calculation_model != False
# Construct a model instance of Calculation by calling from_dict on the json representation
calculation_model_dict = Calculation.from_dict(calculation_model_json).__dict__
calculation_model2 = Calculation(**calculation_model_dict)
# Verify the model instances are equivalent
assert calculation_model == calculation_model2
# Convert model instance back to dict and verify no loss of data
calculation_model_json2 = calculation_model.to_dict()
assert calculation_model_json2 == calculation_model_json
class TestFilter():
"""
Test Class for Filter
"""
def test_filter_serialization(self):
"""
Test serialization/deserialization for Filter
"""
# Construct a json representation of a Filter model
filter_model_json = {}
filter_model_json['type'] = 'filter'
filter_model_json['matching_results'] = 38
filter_model_json['match'] = 'testString'
# Construct a model instance of Filter by calling from_dict on the json representation
filter_model = Filter.from_dict(filter_model_json)
assert filter_model != False
# Construct a model instance of Filter by calling from_dict on the json representation
filter_model_dict = Filter.from_dict(filter_model_json).__dict__
filter_model2 = Filter(**filter_model_dict)
# Verify the model instances are equivalent
assert filter_model == filter_model2
# Convert model instance back to dict and verify no loss of data
filter_model_json2 = filter_model.to_dict()
assert filter_model_json2 == filter_model_json
class TestHistogram():
"""
Test Class for Histogram
"""
def test_histogram_serialization(self):
"""
Test serialization/deserialization for Histogram
"""
# Construct a json representation of a Histogram model
histogram_model_json = {}
histogram_model_json['type'] = 'histogram'
histogram_model_json['matching_results'] = 38
histogram_model_json['field'] = 'testString'
histogram_model_json['interval'] = 38
# Construct a model instance of Histogram by calling from_dict on the json representation
histogram_model = Histogram.from_dict(histogram_model_json)
assert histogram_model != False
# Construct a model instance of Histogram by calling from_dict on the json representation
histogram_model_dict = Histogram.from_dict(histogram_model_json).__dict__
histogram_model2 = Histogram(**histogram_model_dict)
# Verify the model instances are equivalent
assert histogram_model == histogram_model2
# Convert model instance back to dict and verify no loss of data
histogram_model_json2 = histogram_model.to_dict()
assert histogram_model_json2 == histogram_model_json
class TestNested():
"""
Test Class for Nested
"""
def test_nested_serialization(self):
"""
Test serialization/deserialization for Nested
"""
# Construct a json representation of a Nested model
nested_model_json = {}
nested_model_json['type'] = 'nested'
nested_model_json['matching_results'] = 38
nested_model_json['path'] = 'testString'
# Construct a model instance of Nested by calling from_dict on the json representation
nested_model = Nested.from_dict(nested_model_json)
assert nested_model != False
# Construct a model instance of Nested by calling from_dict on the json representation
nested_model_dict = Nested.from_dict(nested_model_json).__dict__
nested_model2 = Nested(**nested_model_dict)
# Verify the model instances are equivalent
assert nested_model == nested_model2
# Convert model instance back to dict and verify no loss of data
nested_model_json2 = nested_model.to_dict()
assert nested_model_json2 == nested_model_json
class TestTerm():
"""
Test Class for Term
"""
def test_term_serialization(self):
"""
Test serialization/deserialization for Term
"""
# Construct a json representation of a Term model
term_model_json = {}
term_model_json['type'] = 'term'
term_model_json['matching_results'] = 38
term_model_json['field'] = 'testString'
term_model_json['count'] = 38
# Construct a model instance of Term by calling from_dict on the json representation
term_model = Term.from_dict(term_model_json)
assert term_model != False
# Construct a model instance of Term by calling from_dict on the json representation
term_model_dict = Term.from_dict(term_model_json).__dict__
term_model2 = Term(**term_model_dict)
# Verify the model instances are equivalent
assert term_model == term_model2
# Convert model instance back to dict and verify no loss of data
term_model_json2 = term_model.to_dict()
assert term_model_json2 == term_model_json
class TestTimeslice():
"""
Test Class for Timeslice
"""
def test_timeslice_serialization(self):
"""
Test serialization/deserialization for Timeslice
"""
# Construct a json representation of a Timeslice model
timeslice_model_json = {}
timeslice_model_json['type'] = 'timeslice'
timeslice_model_json['matching_results'] = 38
timeslice_model_json['field'] = 'testString'
timeslice_model_json['interval'] = 'testString'
timeslice_model_json['anomaly'] = True
# Construct a model instance of Timeslice by calling from_dict on the json representation
timeslice_model = Timeslice.from_dict(timeslice_model_json)
assert timeslice_model != False
# Construct a model instance of Timeslice by calling from_dict on the json representation
timeslice_model_dict = Timeslice.from_dict(timeslice_model_json).__dict__
timeslice_model2 = Timeslice(**timeslice_model_dict)
# Verify the model instances are equivalent
assert timeslice_model == timeslice_model2
# Convert model instance back to dict and verify no loss of data
timeslice_model_json2 = timeslice_model.to_dict()
assert timeslice_model_json2 == timeslice_model_json
class TestTopHits():
"""
Test Class for TopHits
"""
def test_top_hits_serialization(self):
"""
Test serialization/deserialization for TopHits
"""
# Construct dict forms of any model objects needed in order to build this model.
query_result_metadata_model = {} # QueryResultMetadata
query_result_metadata_model['score'] = 72.5
query_result_metadata_model['confidence'] = 72.5
query_result_model = {} # QueryResult
query_result_model['id'] = 'testString'
query_result_model['metadata'] = {}
query_result_model['collection_id'] = 'testString'
query_result_model['result_metadata'] = query_result_metadata_model
query_result_model['foo'] = { 'foo': 'bar' }
top_hits_results_model = {} # TopHitsResults
top_hits_results_model['matching_results'] = 38
top_hits_results_model['hits'] = [query_result_model]
# Construct a json representation of a TopHits model
top_hits_model_json = {}
top_hits_model_json['type'] = 'top_hits'
top_hits_model_json['matching_results'] = 38
top_hits_model_json['size'] = 38
top_hits_model_json['hits'] = top_hits_results_model
# Construct a model instance of TopHits by calling from_dict on the json representation
top_hits_model = TopHits.from_dict(top_hits_model_json)
assert top_hits_model != False
# Construct a model instance of TopHits by calling from_dict on the json representation
top_hits_model_dict = TopHits.from_dict(top_hits_model_json).__dict__
top_hits_model2 = TopHits(**top_hits_model_dict)
# Verify the model instances are equivalent
assert top_hits_model == top_hits_model2
# Convert model instance back to dict and verify no loss of data
top_hits_model_json2 = top_hits_model.to_dict()
assert top_hits_model_json2 == top_hits_model_json
# endregion
##############################################################################
# End of Model Tests
##############################################################################
| 45.52781 | 2,637 | 0.665676 | 54,209 | 503,401 | 5.841964 | 0.015348 | 0.022224 | 0.012239 | 0.010844 | 0.914379 | 0.87367 | 0.829781 | 0.784434 | 0.754417 | 0.724886 | 0 | 0.014869 | 0.230727 | 503,401 | 11,056 | 2,638 | 45.531928 | 0.802909 | 0.168252 | 0 | 0.678231 | 0 | 0.014065 | 0.25707 | 0.054563 | 0 | 0 | 0 | 0 | 0.09689 | 1 | 0.04782 | false | 0.018753 | 0.001875 | 0 | 0.094546 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
602fe47473a459a9843777b440724da131d102b2 | 237 | py | Python | reproducibility_project/src/analysis/__init__.py | zijiewu3/reproducibility_study | 0fc700df7daa7320e8ff213da722392407fa0d8a | [
"MIT"
] | null | null | null | reproducibility_project/src/analysis/__init__.py | zijiewu3/reproducibility_study | 0fc700df7daa7320e8ff213da722392407fa0d8a | [
"MIT"
] | null | null | null | reproducibility_project/src/analysis/__init__.py | zijiewu3/reproducibility_study | 0fc700df7daa7320e8ff213da722392407fa0d8a | [
"MIT"
] | null | null | null | """Analysis routines and helper methods."""
from reproducibility_project.src.analysis.equlibration import *
from reproducibility_project.src.analysis.rdf import gsd_rdf
from reproducibility_project.src.analysis.sampler import sample_job
| 47.4 | 67 | 0.85654 | 30 | 237 | 6.6 | 0.533333 | 0.287879 | 0.393939 | 0.439394 | 0.560606 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07173 | 237 | 4 | 68 | 59.25 | 0.9 | 0.156118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
60502f781a9053edf264de5f4ed77a1d9bb7e7d3 | 140,879 | py | Python | test7_semiautomatic_pips+cbmc_time_reduction/results/pagai/inv/yacctab.py | heryxpc/prototype | 45c9c61c43115a97adc9690ad2269be9c07eb47d | [
"Apache-2.0"
] | null | null | null | test7_semiautomatic_pips+cbmc_time_reduction/results/pagai/inv/yacctab.py | heryxpc/prototype | 45c9c61c43115a97adc9690ad2269be9c07eb47d | [
"Apache-2.0"
] | null | null | null | test7_semiautomatic_pips+cbmc_time_reduction/results/pagai/inv/yacctab.py | heryxpc/prototype | 45c9c61c43115a97adc9690ad2269be9c07eb47d | [
"Apache-2.0"
] | null | null | null |
# yacctab.py
# This file is automatically generated. Do not edit.
_tabversion = '3.2'
_lr_method = 'LALR'
_lr_signature = '\xe4\xad\x11\xafm\xe0Y\xc1d\x13V\x92#\x99xD'
_lr_action_items = 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_lr_action = { }
for _k, _v in _lr_action_items.items():
for _x,_y in zip(_v[0],_v[1]):
if not _x in _lr_action: _lr_action[_x] = { }
_lr_action[_x][_k] = _y
del _lr_action_items
_lr_goto_items = {'storage_class_specifier':([0,1,13,21,42,44,48,62,73,82,145,218,227,251,285,313,334,],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,]),'identifier_list_opt':([62,],[125,]),'selection_statement':([145,251,259,336,345,379,395,397,399,413,415,418,],[260,260,260,260,260,260,260,260,260,260,260,260,]),'constant':([61,99,105,108,112,113,141,145,156,169,175,182,183,186,189,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,221,232,243,250,251,259,270,282,283,312,325,326,334,336,337,341,345,346,352,353,358,376,379,391,393,395,397,398,399,404,410,413,415,418,],[98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,]),'unary_expression':([61,99,105,108,112,113,141,145,156,169,175,182,183,186,189,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,221,232,243,250,251,259,270,282,283,312,325,326,334,336,337,341,345,346,352,353,358,376,379,391,393,395,397,398,399,404,410,413,415,418,],[92,176,187,190,92,196,92,92,187,92,92,92,92,92,92,187,187,187,187,187,187,187,187,187,187,187,187,187,187,187,187,92,187,187,92,187,92,187,92,92,187,92,187,92,187,92,92,92,92,92,92,92,92,187,187,92,92,92,92,92,92,92,92,92,92,92,92,92,]),'conditional_expression':([61,112,141,145,156,169,175,182,183,186,189,213,221,232,243,250,251,259,270,282,312,325,326,334,336,337,341,345,346,352,358,376,379,391,393,395,397,398,399,404,410,413,415,418,],[122,122,122,122,267,122,122,122,122,122,122,122,122,267,122,267,122,122,267,122,122,267,122,122,122,122,122,122,122,122,386,122,122,122,122,122,122,122,122,122,122,122,122,122,]),'brace_close':([86,136,147,148,228,229,261,328,369,385,400,],[149,231,264,265,318,319,344,370,392,401,409,]),'struct_or_union_specifier':([0,1,13,21,42,44,48,57,62,73,82,84,85,86,87,89,112,145,147,148,175,186,189,218,227,251,285,313,334,],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,]),'unified_wstring_literal':([61,99,105,108,112,113,141,145,156,169,175,182,183,186,189,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,221,232,243,250,251,259,270,282,283,312,325,326,334,336,337,341,345,346,352,353,358,376,379,391,393,395,397,398,399,404,410,413,415,418,],[93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,]),'abstract_declarator_opt':([129,195,],[219,284,]),'iteration_statement':([145,251,259,336,345,379,395,397,399,413,415,418,],[239,239,239,239,239,239,239,239,239,239,239,239,]),'init_declarator_list':([29,79,],[70,70,]),'translation_unit_or_empty':([0,],[38,]),'struct_declaration_list':([57,84,85,],[86,147,148,]),'enumerator':([65,133,134,230,],[135,135,135,320,]),'pp_directive':([0,21,],[10,10,]),'declaration_list':([48,73,],[82,82,]),'declaration_specifiers_opt':([1,13,42,44,],[50,58,76,77,]),'abstract_declarator':([129,195,218,285,],[220,220,309,309,]),'external_declaration':([0,21,],[11,60,]),'type_specifier':([0,1,13,21,42,44,48,57,62,73,82,84,85,86,87,89,112,145,147,148,175,186,189,218,227,251,285,313,334,],[13,13,13,13,13,13,13,87,13,13,13,87,87,87,87,87,87,13,87,87,87,87,87,13,13,13,13,13,13,]),'designation':([235,357,369,400,],[322,322,322,322,]),'compound_statement':([81,142,145,251,259,336,345,379,395,397,399,413,415,418,],[144,237,244,244,244,244,244,244,244,244,244,244,244,244,]),'pointer':([0,4,21,29,67,79,90,129,140,195,218,268,285,],[15,15,15,15,139,15,15,224,15,286,224,15,286,]),'type_name':([112,175,186,189,],[193,272,279,280,]),'unified_string_literal':([61,99,105,108,112,113,141,145,156,169,175,182,183,186,189,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,221,232,243,250,251,259,270,282,283,312,325,326,334,336,337,341,345,346,352,353,358,376,379,391,393,395,397,398,399,404,410,413,415,418,],[101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,]),'postfix_expression':([61,99,105,108,112,113,141,145,156,169,175,182,183,186,189,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,221,232,243,250,251,259,270,282,283,312,325,326,334,336,337,341,345,346,352,353,358,376,379,391,393,395,397,398,399,404,410,413,415,418,],[102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,]),'assignment_expression_opt':([61,221,312,],[103,310,363,]),'statement':([145,251,259,336,345,379,395,397,399,413,415,418,],[253,253,343,377,382,396,405,406,408,417,419,420,]),'expression_statement':([145,251,259,336,345,379,395,397,399,413,415,418,],[238,238,238,238,238,238,238,238,238,238,238,238,]),'unary_operator':([61,99,105,108,112,113,141,145,156,169,175,182,183,186,189,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,221,232,243,250,251,259,270,282,283,312,325,326,334,336,337,341,345,346,352,353,358,376,379,391,393,395,397,398,399,404,410,413,415,418,],[105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,]),'cast_expression':([61,105,112,141,145,156,169,175,182,183,186,189,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,221,232,243,250,251,259,270,282,283,312,325,326,334,336,337,341,345,346,352,353,358,376,379,391,393,395,397,398,399,404,410,413,415,418,],[104,188,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,104,356,104,104,104,104,104,104,104,104,104,104,356,104,104,104,104,104,104,104,104,104,104,104,104,104,104,]),'init_declarator':([29,79,140,],[74,74,233,]),'struct_declarator_list':([90,],[157,]),'brace_open':([7,25,54,56,63,64,81,141,142,145,251,259,283,326,336,345,349,353,354,379,391,395,397,399,413,415,418,],[57,65,84,85,133,134,145,235,145,145,145,145,357,235,145,145,357,357,357,145,235,145,145,145,145,145,145,]),'assignment_operator':([92,],[169,]),'struct_or_union':([0,1,13,21,42,44,48,57,62,73,82,84,85,86,87,89,112,145,147,148,175,186,189,218,227,251,285,313,334,],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,]),'block_item_list_opt':([145,],[261,]),'struct_declaration':([57,84,85,86,147,148,],[88,88,88,150,150,150,]),'assignment_expression':([61,112,141,145,169,175,182,183,186,189,213,221,243,251,259,282,312,326,334,336,337,341,345,346,352,376,379,391,393,395,397,398,399,404,410,413,415,418,],[107,194,236,194,271,194,194,276,194,194,194,107,194,194,194,355,107,236,194,194,194,194,194,194,384,194,194,236,194,194,194,194,194,194,194,194,194,194,]),'designation_opt':([235,357,369,400,],[326,326,391,391,]),'parameter_type_list':([62,218,285,313,],[127,307,307,307,]),'type_qualifier_list_opt':([27,],[67,]),'direct_declarator':([0,4,15,21,29,79,90,129,140,218,224,268,],[24,24,59,24,24,24,24,24,24,24,59,24,]),'type_qualifier_list':([27,],[66,]),'designator':([235,329,357,369,400,],[323,371,323,323,323,]),'argument_expression_list':([183,],[278,]),'initializer':([141,326,391,],[234,368,402,]),'direct_abstract_declarator':([129,195,218,224,285,286,],[223,223,223,314,223,314,]),'specifier_qualifier_list_opt':([87,89,],[153,155,]),'constant_expression':([156,232,250,270,325,],[266,321,338,348,367,]),'expression_opt':([145,251,259,334,336,345,376,379,393,395,397,399,404,410,413,415,418,],[241,241,241,375,241,241,394,241,403,241,241,241,411,414,241,241,241,]),'primary_expression':([61,99,105,108,112,113,141,145,156,169,175,182,183,186,189,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,221,232,243,250,251,259,270,282,283,312,325,326,334,336,337,341,345,346,352,353,358,376,379,391,393,395,397,398,399,404,410,413,415,418,],[111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,]),'declaration_specifiers':([0,1,13,21,42,44,48,62,73,82,145,218,227,251,285,313,334,],[29,52,52,29,52,52,79,129,79,79,79,129,129,79,129,129,79,]),'declaration':([0,21,48,73,82,145,251,334,],[30,30,80,80,146,254,254,376,]),'struct_declarator_list_opt':([90,],[158,]),'identifier_list':([62,],[130,]),'typedef_name':([0,1,13,21,42,44,48,57,62,73,82,84,85,86,87,89,112,145,147,148,175,186,189,218,227,251,285,313,334,],[28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,]),'parameter_type_list_opt':([218,285,313,],[308,308,365,]),'jump_statement':([145,251,259,336,345,379,395,397,399,413,415,418,],[255,255,255,255,255,255,255,255,255,255,255,255,]),'declaration_list_opt':([48,73,],[81,142,]),'struct_declarator':([90,268,],[159,347,]),'function_definition':([0,21,],[35,35,]),'binary_expression':([61,112,141,145,156,169,175,182,183,186,189,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,221,232,243,250,251,259,270,282,312,325,326,334,336,337,341,345,346,352,358,376,379,391,393,395,397,398,399,404,410,413,415,418,],[118,118,118,118,118,118,118,118,118,118,118,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,118,304,305,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,118,]),'parameter_list':([62,218,285,313,],[131,131,131,131,]),'init_declarator_list_opt':([29,79,],[71,71,]),'enum_specifier':([0,1,13,21,42,44,48,57,62,73,82,84,85,86,87,89,112,145,147,148,175,186,189,218,227,251,285,313,334,],[45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,45,]),'decl_body':([0,21,48,73,82,145,251,334,],[41,41,41,41,41,41,41,41,]),'type_qualifier':([0,1,13,21,27,42,44,48,57,62,66,73,82,84,85,86,87,89,112,145,147,148,175,186,189,218,227,251,285,313,334,],[42,42,42,42,68,42,42,42,89,42,138,42,42,89,89,89,89,89,89,42,89,89,89,89,89,42,42,42,42,42,42,]),'enumerator_list':([65,133,134,],[136,228,229,]),'labeled_statement':([145,251,259,336,345,379,395,397,399,413,415,418,],[242,242,242,242,242,242,242,242,242,242,242,242,]),'function_specifier':([0,1,13,21,42,44,48,62,73,82,145,218,227,251,285,313,334,],[44,44,44,44,44,44,44,44,44,44,44,44,44,44,44,44,44,]),'specifier_qualifier_list':([57,84,85,86,87,89,112,147,148,175,186,189,],[90,90,90,90,154,154,195,90,90,195,195,195,]),'block_item':([145,251,],[257,340,]),'block_item_list':([145,],[251,]),'empty':([0,1,13,27,29,42,44,48,61,62,73,79,87,89,90,129,145,195,218,221,235,251,259,285,312,313,334,336,345,357,369,376,379,393,395,397,399,400,404,410,413,415,418,],[47,51,51,69,72,51,51,78,121,126,78,72,152,152,160,225,258,225,306,121,327,339,339,306,121,306,339,339,339,327,327,339,339,339,339,339,339,327,339,339,339,339,339,]),'translation_unit':([0,],[21,]),'initializer_list':([235,357,],[328,385,]),'declarator':([0,4,21,29,79,90,129,140,218,268,],[48,53,48,73,143,161,222,143,53,161,]),'parameter_declaration':([62,218,227,285,313,],[128,128,317,128,128,]),'designator_list':([235,357,369,400,],[329,329,329,329,]),'identifier':([61,62,99,105,108,112,113,141,145,156,169,175,179,181,182,183,186,189,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,221,226,232,243,250,251,259,270,282,283,312,324,325,326,334,336,337,341,345,346,352,353,358,376,379,391,393,395,397,398,399,404,410,413,415,418,],[124,132,124,124,124,124,124,124,124,124,124,124,273,274,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,315,124,124,124,124,124,124,124,124,124,366,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,124,]),'expression':([112,145,175,182,186,189,213,243,251,259,334,336,337,341,345,346,376,379,393,395,397,398,399,404,410,413,415,418,],[192,247,192,275,192,192,303,333,247,247,247,247,378,380,247,383,247,247,247,247,247,407,247,247,247,247,247,247,]),}
_lr_goto = { }
for _k, _v in _lr_goto_items.items():
for _x,_y in zip(_v[0],_v[1]):
if not _x in _lr_goto: _lr_goto[_x] = { }
_lr_goto[_x][_k] = _y
del _lr_goto_items
_lr_productions = [
("S' -> translation_unit_or_empty","S'",1,None,None,None),
('abstract_declarator_opt -> empty','abstract_declarator_opt',1,'p_abstract_declarator_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',41),
('abstract_declarator_opt -> abstract_declarator','abstract_declarator_opt',1,'p_abstract_declarator_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',42),
('assignment_expression_opt -> empty','assignment_expression_opt',1,'p_assignment_expression_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',41),
('assignment_expression_opt -> assignment_expression','assignment_expression_opt',1,'p_assignment_expression_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',42),
('block_item_list_opt -> empty','block_item_list_opt',1,'p_block_item_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',41),
('block_item_list_opt -> block_item_list','block_item_list_opt',1,'p_block_item_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',42),
('declaration_list_opt -> empty','declaration_list_opt',1,'p_declaration_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',41),
('declaration_list_opt -> declaration_list','declaration_list_opt',1,'p_declaration_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',42),
('declaration_specifiers_opt -> empty','declaration_specifiers_opt',1,'p_declaration_specifiers_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',41),
('declaration_specifiers_opt -> declaration_specifiers','declaration_specifiers_opt',1,'p_declaration_specifiers_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',42),
('designation_opt -> empty','designation_opt',1,'p_designation_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',41),
('designation_opt -> designation','designation_opt',1,'p_designation_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',42),
('expression_opt -> empty','expression_opt',1,'p_expression_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',41),
('expression_opt -> expression','expression_opt',1,'p_expression_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',42),
('identifier_list_opt -> empty','identifier_list_opt',1,'p_identifier_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',41),
('identifier_list_opt -> identifier_list','identifier_list_opt',1,'p_identifier_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',42),
('init_declarator_list_opt -> empty','init_declarator_list_opt',1,'p_init_declarator_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',41),
('init_declarator_list_opt -> init_declarator_list','init_declarator_list_opt',1,'p_init_declarator_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',42),
('parameter_type_list_opt -> empty','parameter_type_list_opt',1,'p_parameter_type_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',41),
('parameter_type_list_opt -> parameter_type_list','parameter_type_list_opt',1,'p_parameter_type_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',42),
('specifier_qualifier_list_opt -> empty','specifier_qualifier_list_opt',1,'p_specifier_qualifier_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',41),
('specifier_qualifier_list_opt -> specifier_qualifier_list','specifier_qualifier_list_opt',1,'p_specifier_qualifier_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',42),
('struct_declarator_list_opt -> empty','struct_declarator_list_opt',1,'p_struct_declarator_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',41),
('struct_declarator_list_opt -> struct_declarator_list','struct_declarator_list_opt',1,'p_struct_declarator_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',42),
('type_qualifier_list_opt -> empty','type_qualifier_list_opt',1,'p_type_qualifier_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',41),
('type_qualifier_list_opt -> type_qualifier_list','type_qualifier_list_opt',1,'p_type_qualifier_list_opt','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/plyparser.py',42),
('translation_unit_or_empty -> translation_unit','translation_unit_or_empty',1,'p_translation_unit_or_empty','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',363),
('translation_unit_or_empty -> empty','translation_unit_or_empty',1,'p_translation_unit_or_empty','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',364),
('translation_unit -> external_declaration','translation_unit',1,'p_translation_unit_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',372),
('translation_unit -> translation_unit external_declaration','translation_unit',2,'p_translation_unit_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',379),
('external_declaration -> function_definition','external_declaration',1,'p_external_declaration_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',391),
('external_declaration -> declaration','external_declaration',1,'p_external_declaration_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',396),
('external_declaration -> pp_directive','external_declaration',1,'p_external_declaration_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',401),
('external_declaration -> SEMI','external_declaration',1,'p_external_declaration_4','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',406),
('pp_directive -> PPHASH','pp_directive',1,'p_pp_directive','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',411),
('function_definition -> declarator declaration_list_opt compound_statement','function_definition',3,'p_function_definition_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',420),
('function_definition -> declaration_specifiers declarator declaration_list_opt compound_statement','function_definition',4,'p_function_definition_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',432),
('statement -> labeled_statement','statement',1,'p_statement','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',443),
('statement -> expression_statement','statement',1,'p_statement','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',444),
('statement -> compound_statement','statement',1,'p_statement','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',445),
('statement -> selection_statement','statement',1,'p_statement','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',446),
('statement -> iteration_statement','statement',1,'p_statement','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',447),
('statement -> jump_statement','statement',1,'p_statement','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',448),
('decl_body -> declaration_specifiers init_declarator_list_opt','decl_body',2,'p_decl_body','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',462),
('declaration -> decl_body SEMI','declaration',2,'p_declaration','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',550),
('declaration_list -> declaration','declaration_list',1,'p_declaration_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',559),
('declaration_list -> declaration_list declaration','declaration_list',2,'p_declaration_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',560),
('declaration_specifiers -> type_qualifier declaration_specifiers_opt','declaration_specifiers',2,'p_declaration_specifiers_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',565),
('declaration_specifiers -> type_specifier declaration_specifiers_opt','declaration_specifiers',2,'p_declaration_specifiers_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',570),
('declaration_specifiers -> storage_class_specifier declaration_specifiers_opt','declaration_specifiers',2,'p_declaration_specifiers_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',575),
('declaration_specifiers -> function_specifier declaration_specifiers_opt','declaration_specifiers',2,'p_declaration_specifiers_4','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',580),
('storage_class_specifier -> AUTO','storage_class_specifier',1,'p_storage_class_specifier','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',585),
('storage_class_specifier -> REGISTER','storage_class_specifier',1,'p_storage_class_specifier','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',586),
('storage_class_specifier -> STATIC','storage_class_specifier',1,'p_storage_class_specifier','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',587),
('storage_class_specifier -> EXTERN','storage_class_specifier',1,'p_storage_class_specifier','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',588),
('storage_class_specifier -> TYPEDEF','storage_class_specifier',1,'p_storage_class_specifier','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',589),
('function_specifier -> INLINE','function_specifier',1,'p_function_specifier','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',594),
('type_specifier -> VOID','type_specifier',1,'p_type_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',599),
('type_specifier -> _BOOL','type_specifier',1,'p_type_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',600),
('type_specifier -> CHAR','type_specifier',1,'p_type_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',601),
('type_specifier -> SHORT','type_specifier',1,'p_type_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',602),
('type_specifier -> INT','type_specifier',1,'p_type_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',603),
('type_specifier -> LONG','type_specifier',1,'p_type_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',604),
('type_specifier -> FLOAT','type_specifier',1,'p_type_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',605),
('type_specifier -> DOUBLE','type_specifier',1,'p_type_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',606),
('type_specifier -> _COMPLEX','type_specifier',1,'p_type_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',607),
('type_specifier -> SIGNED','type_specifier',1,'p_type_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',608),
('type_specifier -> UNSIGNED','type_specifier',1,'p_type_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',609),
('type_specifier -> typedef_name','type_specifier',1,'p_type_specifier_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',614),
('type_specifier -> enum_specifier','type_specifier',1,'p_type_specifier_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',615),
('type_specifier -> struct_or_union_specifier','type_specifier',1,'p_type_specifier_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',616),
('type_qualifier -> CONST','type_qualifier',1,'p_type_qualifier','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',621),
('type_qualifier -> RESTRICT','type_qualifier',1,'p_type_qualifier','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',622),
('type_qualifier -> VOLATILE','type_qualifier',1,'p_type_qualifier','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',623),
('init_declarator_list -> init_declarator','init_declarator_list',1,'p_init_declarator_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',628),
('init_declarator_list -> init_declarator_list COMMA init_declarator','init_declarator_list',3,'p_init_declarator_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',629),
('init_declarator -> declarator','init_declarator',1,'p_init_declarator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',637),
('init_declarator -> declarator EQUALS initializer','init_declarator',3,'p_init_declarator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',638),
('specifier_qualifier_list -> type_qualifier specifier_qualifier_list_opt','specifier_qualifier_list',2,'p_specifier_qualifier_list_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',643),
('specifier_qualifier_list -> type_specifier specifier_qualifier_list_opt','specifier_qualifier_list',2,'p_specifier_qualifier_list_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',648),
('struct_or_union_specifier -> struct_or_union ID','struct_or_union_specifier',2,'p_struct_or_union_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',656),
('struct_or_union_specifier -> struct_or_union TYPEID','struct_or_union_specifier',2,'p_struct_or_union_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',657),
('struct_or_union_specifier -> struct_or_union brace_open struct_declaration_list brace_close','struct_or_union_specifier',4,'p_struct_or_union_specifier_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',666),
('struct_or_union_specifier -> struct_or_union ID brace_open struct_declaration_list brace_close','struct_or_union_specifier',5,'p_struct_or_union_specifier_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',675),
('struct_or_union_specifier -> struct_or_union TYPEID brace_open struct_declaration_list brace_close','struct_or_union_specifier',5,'p_struct_or_union_specifier_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',676),
('struct_or_union -> STRUCT','struct_or_union',1,'p_struct_or_union','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',685),
('struct_or_union -> UNION','struct_or_union',1,'p_struct_or_union','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',686),
('struct_declaration_list -> struct_declaration','struct_declaration_list',1,'p_struct_declaration_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',693),
('struct_declaration_list -> struct_declaration_list struct_declaration','struct_declaration_list',2,'p_struct_declaration_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',694),
('struct_declaration -> specifier_qualifier_list struct_declarator_list_opt SEMI','struct_declaration',3,'p_struct_declaration_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',699),
('struct_declarator_list -> struct_declarator','struct_declarator_list',1,'p_struct_declarator_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',750),
('struct_declarator_list -> struct_declarator_list COMMA struct_declarator','struct_declarator_list',3,'p_struct_declarator_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',751),
('struct_declarator -> declarator','struct_declarator',1,'p_struct_declarator_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',759),
('struct_declarator -> declarator COLON constant_expression','struct_declarator',3,'p_struct_declarator_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',764),
('struct_declarator -> COLON constant_expression','struct_declarator',2,'p_struct_declarator_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',765),
('enum_specifier -> ENUM ID','enum_specifier',2,'p_enum_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',773),
('enum_specifier -> ENUM TYPEID','enum_specifier',2,'p_enum_specifier_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',774),
('enum_specifier -> ENUM brace_open enumerator_list brace_close','enum_specifier',4,'p_enum_specifier_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',779),
('enum_specifier -> ENUM ID brace_open enumerator_list brace_close','enum_specifier',5,'p_enum_specifier_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',784),
('enum_specifier -> ENUM TYPEID brace_open enumerator_list brace_close','enum_specifier',5,'p_enum_specifier_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',785),
('enumerator_list -> enumerator','enumerator_list',1,'p_enumerator_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',790),
('enumerator_list -> enumerator_list COMMA','enumerator_list',2,'p_enumerator_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',791),
('enumerator_list -> enumerator_list COMMA enumerator','enumerator_list',3,'p_enumerator_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',792),
('enumerator -> ID','enumerator',1,'p_enumerator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',803),
('enumerator -> ID EQUALS constant_expression','enumerator',3,'p_enumerator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',804),
('declarator -> direct_declarator','declarator',1,'p_declarator_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',816),
('declarator -> pointer direct_declarator','declarator',2,'p_declarator_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',821),
('direct_declarator -> ID','direct_declarator',1,'p_direct_declarator_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',826),
('direct_declarator -> LPAREN declarator RPAREN','direct_declarator',3,'p_direct_declarator_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',835),
('direct_declarator -> direct_declarator LBRACKET assignment_expression_opt RBRACKET','direct_declarator',4,'p_direct_declarator_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',840),
('direct_declarator -> direct_declarator LBRACKET TIMES RBRACKET','direct_declarator',4,'p_direct_declarator_4','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',852),
('direct_declarator -> direct_declarator LPAREN parameter_type_list RPAREN','direct_declarator',4,'p_direct_declarator_5','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',862),
('direct_declarator -> direct_declarator LPAREN identifier_list_opt RPAREN','direct_declarator',4,'p_direct_declarator_5','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',863),
('pointer -> TIMES type_qualifier_list_opt','pointer',2,'p_pointer','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',873),
('pointer -> TIMES type_qualifier_list_opt pointer','pointer',3,'p_pointer','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',874),
('type_qualifier_list -> type_qualifier','type_qualifier_list',1,'p_type_qualifier_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',884),
('type_qualifier_list -> type_qualifier_list type_qualifier','type_qualifier_list',2,'p_type_qualifier_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',885),
('parameter_type_list -> parameter_list','parameter_type_list',1,'p_parameter_type_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',890),
('parameter_type_list -> parameter_list COMMA ELLIPSIS','parameter_type_list',3,'p_parameter_type_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',891),
('parameter_list -> parameter_declaration','parameter_list',1,'p_parameter_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',899),
('parameter_list -> parameter_list COMMA parameter_declaration','parameter_list',3,'p_parameter_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',900),
('parameter_declaration -> declaration_specifiers declarator','parameter_declaration',2,'p_parameter_declaration_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',909),
('parameter_declaration -> declaration_specifiers abstract_declarator_opt','parameter_declaration',2,'p_parameter_declaration_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',928),
('identifier_list -> identifier','identifier_list',1,'p_identifier_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',940),
('identifier_list -> identifier_list COMMA identifier','identifier_list',3,'p_identifier_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',941),
('initializer -> assignment_expression','initializer',1,'p_initializer_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',950),
('initializer -> brace_open initializer_list brace_close','initializer',3,'p_initializer_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',955),
('initializer -> brace_open initializer_list COMMA brace_close','initializer',4,'p_initializer_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',956),
('initializer_list -> designation_opt initializer','initializer_list',2,'p_initializer_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',961),
('initializer_list -> initializer_list COMMA designation_opt initializer','initializer_list',4,'p_initializer_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',962),
('designation -> designator_list EQUALS','designation',2,'p_designation','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',973),
('designator_list -> designator','designator_list',1,'p_designator_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',981),
('designator_list -> designator_list designator','designator_list',2,'p_designator_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',982),
('designator -> LBRACKET constant_expression RBRACKET','designator',3,'p_designator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',987),
('designator -> PERIOD identifier','designator',2,'p_designator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',988),
('type_name -> specifier_qualifier_list abstract_declarator_opt','type_name',2,'p_type_name','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',993),
('abstract_declarator -> pointer','abstract_declarator',1,'p_abstract_declarator_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1009),
('abstract_declarator -> pointer direct_abstract_declarator','abstract_declarator',2,'p_abstract_declarator_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1017),
('abstract_declarator -> direct_abstract_declarator','abstract_declarator',1,'p_abstract_declarator_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1022),
('direct_abstract_declarator -> LPAREN abstract_declarator RPAREN','direct_abstract_declarator',3,'p_direct_abstract_declarator_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1032),
('direct_abstract_declarator -> direct_abstract_declarator LBRACKET assignment_expression_opt RBRACKET','direct_abstract_declarator',4,'p_direct_abstract_declarator_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1036),
('direct_abstract_declarator -> LBRACKET assignment_expression_opt RBRACKET','direct_abstract_declarator',3,'p_direct_abstract_declarator_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1046),
('direct_abstract_declarator -> direct_abstract_declarator LBRACKET TIMES RBRACKET','direct_abstract_declarator',4,'p_direct_abstract_declarator_4','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1054),
('direct_abstract_declarator -> LBRACKET TIMES RBRACKET','direct_abstract_declarator',3,'p_direct_abstract_declarator_5','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1064),
('direct_abstract_declarator -> direct_abstract_declarator LPAREN parameter_type_list_opt RPAREN','direct_abstract_declarator',4,'p_direct_abstract_declarator_6','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1072),
('direct_abstract_declarator -> LPAREN parameter_type_list_opt RPAREN','direct_abstract_declarator',3,'p_direct_abstract_declarator_7','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1082),
('block_item -> declaration','block_item',1,'p_block_item','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1093),
('block_item -> statement','block_item',1,'p_block_item','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1094),
('block_item_list -> block_item','block_item_list',1,'p_block_item_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1101),
('block_item_list -> block_item_list block_item','block_item_list',2,'p_block_item_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1102),
('compound_statement -> brace_open block_item_list_opt brace_close','compound_statement',3,'p_compound_statement_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1108),
('labeled_statement -> ID COLON statement','labeled_statement',3,'p_labeled_statement_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1114),
('labeled_statement -> CASE constant_expression COLON statement','labeled_statement',4,'p_labeled_statement_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1118),
('labeled_statement -> DEFAULT COLON statement','labeled_statement',3,'p_labeled_statement_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1122),
('selection_statement -> IF LPAREN expression RPAREN statement','selection_statement',5,'p_selection_statement_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1126),
('selection_statement -> IF LPAREN expression RPAREN statement ELSE statement','selection_statement',7,'p_selection_statement_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1130),
('selection_statement -> SWITCH LPAREN expression RPAREN statement','selection_statement',5,'p_selection_statement_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1134),
('iteration_statement -> WHILE LPAREN expression RPAREN statement','iteration_statement',5,'p_iteration_statement_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1139),
('iteration_statement -> DO statement WHILE LPAREN expression RPAREN SEMI','iteration_statement',7,'p_iteration_statement_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1143),
('iteration_statement -> FOR LPAREN expression_opt SEMI expression_opt SEMI expression_opt RPAREN statement','iteration_statement',9,'p_iteration_statement_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1147),
('iteration_statement -> FOR LPAREN declaration expression_opt SEMI expression_opt RPAREN statement','iteration_statement',8,'p_iteration_statement_4','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1151),
('jump_statement -> GOTO ID SEMI','jump_statement',3,'p_jump_statement_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1155),
('jump_statement -> BREAK SEMI','jump_statement',2,'p_jump_statement_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1159),
('jump_statement -> CONTINUE SEMI','jump_statement',2,'p_jump_statement_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1163),
('jump_statement -> RETURN expression SEMI','jump_statement',3,'p_jump_statement_4','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1167),
('jump_statement -> RETURN SEMI','jump_statement',2,'p_jump_statement_4','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1168),
('expression_statement -> expression_opt SEMI','expression_statement',2,'p_expression_statement','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1173),
('expression -> assignment_expression','expression',1,'p_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1180),
('expression -> expression COMMA assignment_expression','expression',3,'p_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1181),
('typedef_name -> TYPEID','typedef_name',1,'p_typedef_name','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1193),
('assignment_expression -> conditional_expression','assignment_expression',1,'p_assignment_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1197),
('assignment_expression -> unary_expression assignment_operator assignment_expression','assignment_expression',3,'p_assignment_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1198),
('assignment_operator -> EQUALS','assignment_operator',1,'p_assignment_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1211),
('assignment_operator -> XOREQUAL','assignment_operator',1,'p_assignment_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1212),
('assignment_operator -> TIMESEQUAL','assignment_operator',1,'p_assignment_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1213),
('assignment_operator -> DIVEQUAL','assignment_operator',1,'p_assignment_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1214),
('assignment_operator -> MODEQUAL','assignment_operator',1,'p_assignment_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1215),
('assignment_operator -> PLUSEQUAL','assignment_operator',1,'p_assignment_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1216),
('assignment_operator -> MINUSEQUAL','assignment_operator',1,'p_assignment_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1217),
('assignment_operator -> LSHIFTEQUAL','assignment_operator',1,'p_assignment_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1218),
('assignment_operator -> RSHIFTEQUAL','assignment_operator',1,'p_assignment_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1219),
('assignment_operator -> ANDEQUAL','assignment_operator',1,'p_assignment_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1220),
('assignment_operator -> OREQUAL','assignment_operator',1,'p_assignment_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1221),
('constant_expression -> conditional_expression','constant_expression',1,'p_constant_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1226),
('conditional_expression -> binary_expression','conditional_expression',1,'p_conditional_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1230),
('conditional_expression -> binary_expression CONDOP expression COLON conditional_expression','conditional_expression',5,'p_conditional_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1231),
('binary_expression -> cast_expression','binary_expression',1,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1239),
('binary_expression -> binary_expression TIMES binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1240),
('binary_expression -> binary_expression DIVIDE binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1241),
('binary_expression -> binary_expression MOD binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1242),
('binary_expression -> binary_expression PLUS binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1243),
('binary_expression -> binary_expression MINUS binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1244),
('binary_expression -> binary_expression RSHIFT binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1245),
('binary_expression -> binary_expression LSHIFT binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1246),
('binary_expression -> binary_expression LT binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1247),
('binary_expression -> binary_expression LE binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1248),
('binary_expression -> binary_expression GE binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1249),
('binary_expression -> binary_expression GT binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1250),
('binary_expression -> binary_expression EQ binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1251),
('binary_expression -> binary_expression NE binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1252),
('binary_expression -> binary_expression AND binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1253),
('binary_expression -> binary_expression OR binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1254),
('binary_expression -> binary_expression XOR binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1255),
('binary_expression -> binary_expression LAND binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1256),
('binary_expression -> binary_expression LOR binary_expression','binary_expression',3,'p_binary_expression','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1257),
('cast_expression -> unary_expression','cast_expression',1,'p_cast_expression_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1265),
('cast_expression -> LPAREN type_name RPAREN cast_expression','cast_expression',4,'p_cast_expression_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1269),
('unary_expression -> postfix_expression','unary_expression',1,'p_unary_expression_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1273),
('unary_expression -> PLUSPLUS unary_expression','unary_expression',2,'p_unary_expression_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1277),
('unary_expression -> MINUSMINUS unary_expression','unary_expression',2,'p_unary_expression_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1278),
('unary_expression -> unary_operator cast_expression','unary_expression',2,'p_unary_expression_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1279),
('unary_expression -> SIZEOF unary_expression','unary_expression',2,'p_unary_expression_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1284),
('unary_expression -> SIZEOF LPAREN type_name RPAREN','unary_expression',4,'p_unary_expression_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1285),
('unary_operator -> AND','unary_operator',1,'p_unary_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1293),
('unary_operator -> TIMES','unary_operator',1,'p_unary_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1294),
('unary_operator -> PLUS','unary_operator',1,'p_unary_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1295),
('unary_operator -> MINUS','unary_operator',1,'p_unary_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1296),
('unary_operator -> NOT','unary_operator',1,'p_unary_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1297),
('unary_operator -> LNOT','unary_operator',1,'p_unary_operator','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1298),
('postfix_expression -> primary_expression','postfix_expression',1,'p_postfix_expression_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1303),
('postfix_expression -> postfix_expression LBRACKET expression RBRACKET','postfix_expression',4,'p_postfix_expression_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1307),
('postfix_expression -> postfix_expression LPAREN argument_expression_list RPAREN','postfix_expression',4,'p_postfix_expression_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1311),
('postfix_expression -> postfix_expression LPAREN RPAREN','postfix_expression',3,'p_postfix_expression_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1312),
('postfix_expression -> postfix_expression PERIOD identifier','postfix_expression',3,'p_postfix_expression_4','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1317),
('postfix_expression -> postfix_expression ARROW identifier','postfix_expression',3,'p_postfix_expression_4','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1318),
('postfix_expression -> postfix_expression PLUSPLUS','postfix_expression',2,'p_postfix_expression_5','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1323),
('postfix_expression -> postfix_expression MINUSMINUS','postfix_expression',2,'p_postfix_expression_5','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1324),
('postfix_expression -> LPAREN type_name RPAREN brace_open initializer_list brace_close','postfix_expression',6,'p_postfix_expression_6','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1329),
('postfix_expression -> LPAREN type_name RPAREN brace_open initializer_list COMMA brace_close','postfix_expression',7,'p_postfix_expression_6','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1330),
('primary_expression -> identifier','primary_expression',1,'p_primary_expression_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1335),
('primary_expression -> constant','primary_expression',1,'p_primary_expression_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1339),
('primary_expression -> unified_string_literal','primary_expression',1,'p_primary_expression_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1343),
('primary_expression -> unified_wstring_literal','primary_expression',1,'p_primary_expression_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1344),
('primary_expression -> LPAREN expression RPAREN','primary_expression',3,'p_primary_expression_4','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1349),
('argument_expression_list -> assignment_expression','argument_expression_list',1,'p_argument_expression_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1353),
('argument_expression_list -> argument_expression_list COMMA assignment_expression','argument_expression_list',3,'p_argument_expression_list','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1354),
('identifier -> ID','identifier',1,'p_identifier','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1363),
('constant -> INT_CONST_DEC','constant',1,'p_constant_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1367),
('constant -> INT_CONST_OCT','constant',1,'p_constant_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1368),
('constant -> INT_CONST_HEX','constant',1,'p_constant_1','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1369),
('constant -> FLOAT_CONST','constant',1,'p_constant_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1375),
('constant -> HEX_FLOAT_CONST','constant',1,'p_constant_2','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1376),
('constant -> CHAR_CONST','constant',1,'p_constant_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1382),
('constant -> WCHAR_CONST','constant',1,'p_constant_3','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1383),
('unified_string_literal -> STRING_LITERAL','unified_string_literal',1,'p_unified_string_literal','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1394),
('unified_string_literal -> unified_string_literal STRING_LITERAL','unified_string_literal',2,'p_unified_string_literal','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1395),
('unified_wstring_literal -> WSTRING_LITERAL','unified_wstring_literal',1,'p_unified_wstring_literal','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1405),
('unified_wstring_literal -> unified_wstring_literal WSTRING_LITERAL','unified_wstring_literal',2,'p_unified_wstring_literal','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1406),
('brace_open -> LBRACE','brace_open',1,'p_brace_open','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1416),
('brace_close -> RBRACE','brace_close',1,'p_brace_close','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1422),
('empty -> <empty>','empty',0,'p_empty','/home/heryxpc/Documents/soton/dissertation/tools/pycparser/barel/barel-pycparser-b9ad39646ebc/pycparser/c_parser.py',1428),
]
| 501.348754 | 72,171 | 0.728348 | 27,766 | 140,879 | 3.623712 | 0.029893 | 0.027441 | 0.049893 | 0.062366 | 0.769371 | 0.739485 | 0.720263 | 0.700853 | 0.682595 | 0.667111 | 0 | 0.408637 | 0.011698 | 140,879 | 280 | 72,172 | 503.139286 | 0.314018 | 0.000433 | 0 | 0.00738 | 1 | 0.926199 | 0.367641 | 0.259591 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
60b2263de9f0d0c14268d8422330b96e5591bfe3 | 191,638 | py | Python | parser/team23/grammar/parsetab.py | itsmjoe/tytus | 3b0341cc854d67979b766c5c8b06ed172ce0c913 | [
"MIT"
] | null | null | null | parser/team23/grammar/parsetab.py | itsmjoe/tytus | 3b0341cc854d67979b766c5c8b06ed172ce0c913 | [
"MIT"
] | null | null | null | parser/team23/grammar/parsetab.py | itsmjoe/tytus | 3b0341cc854d67979b766c5c8b06ed172ce0c913 | [
"MIT"
] | null | null | null |
# parsetab.py
# This file is automatically generated. Do not edit.
# pylint: disable=W,C,R
_tabversion = '3.10'
_lr_method = 'LALR'
_lr_signature = 'leftPAR_ABREPAR_CIERRArightIGUALleftORleftANDleftNO_IGUALnonassocMAYORMENORMAYOR_IGUALMENOR_IGUALleftMASMENOSleftASTERISCODIVISIONMODULOleftPOTENCIArightNOTleftLLAVE_ABRELLAVE_CIERRAABS ACOS ACOSD ACOSH ADD ALL ALTER AND AS ASC ASIN ASIND ASINH ASTERISCO ATAN ATAN2 ATAN2D ATAND ATANH AVG BETWEEN BIGINT BOOLEAN BY CADENA CASE CASTEO CBRT CEIL CEILING CHAR CHARACTER CHECK COLUMN COMA CONSTRAINT CORCHE_ABRE CORCHE_CIERRA COS COSD COSH COT COTD COUNT CREATE CURRENT_USER DATABASE DATABASES DATE DAY DECIMAL DECIMAL_NUM DEFAULT DEGREES DELETE DESC DIFERENTE DISTINCT DIV DIVISION DOUBLE DROP ELSE END ENTERO ENUM EXISTS EXP FACTORIAL FALSE FIELDS FIRST FLOOR FOREIGN FROM FULL GCD GREATEST GROUP HAVING HOUR ID IF IGUAL ILIKE IN INHERITS INNER INSERT INTEGER INTERSECT INTERVAL INTO IS ISNULL JOIN KEY LAST LEAST LEFT LIKE LIMIT LLAVE_ABRE LLAVE_CIERRA LN LOG MAS MAX MAYOR MAYOR_IGUAL MENOR MENOR_IGUAL MENOS MIN MINUTE MOD MODE MODULO MONEY MONTH NOT NOTNULL NO_IGUAL NULL NULLS NUMERIC OFFSET OR ORDER OUTER OWNER PAR_ABRE PAR_CIERRA PI POTENCIA POWER PRECISION PRIMARY PUNTO PUNTOCOMA RADIANS RANDOM REAL REFERENCE REFERENCES RENAME REPLACE RIGHT ROUND SECOND SELECT SESSION_USER SET SHOW SIGN SIMILAR SIN SIND SINH SMALLINT SQRT SUBSTRING SUM SYMMETRIC TABLE TAN TAND TANH TEXT THEN TIME TIMESTAMP TO TRUE TRUNC TYPE UNION UNIQUE UNKNOWN UPDATE USE VALUES VARCHAR VARYING WHEN WHERE WIDTH_BUCKET WITH WITHOUT YEAR ZONEinit : instruccionesinstrucciones : instrucciones instruccioninstrucciones : instruccion instruccion : crear_statement PUNTOCOMA\n | alter_statement PUNTOCOMA\n | drop_statement PUNTOCOMA\n | seleccionar PUNTOCOMA\n | union PUNTOCOMAinstruccion : SHOW DATABASES PUNTOCOMA\n | INSERT INTO ID VALUES PAR_ABRE list_val PAR_CIERRA PUNTOCOMA\n | INSERT INTO ID PAR_ABRE list_id PAR_CIERRA VALUES PAR_ABRE list_val PAR_CIERRA PUNTOCOMA\n | UPDATE ID SET ID IGUAL expression where PUNTOCOMA\n | DELETE FROM ID WHERE expression PUNTOCOMA\n | DELETE FROM ID PUNTOCOMA\n | USE DATABASE ID PUNTOCOMAunion : PAR_ABRE seleccionar PAR_CIERRA UNION PAR_ABRE seleccionar PAR_CIERRAcrear_statement : CREATE TABLE ID PAR_ABRE contenido_tabla PAR_CIERRA inherits_statementcrear_statement : CREATE or_replace DATABASE if_not_exists ID owner_ mode_or_replace : OR REPLACE\n | if_not_exists : IF NOT EXISTS\n | owner_ : OWNER IGUAL ID\n | mode_ : MODE IGUAL ENTERO\n | alter_statement : ALTER DATABASE ID rename_owneralter_statement : ALTER TABLE ID alter_listalter_list : alter_list COMA alter_opalter_list : alter_oprename_owner : RENAME TO ID\n | OWNER TO LLAVE_ABRE ow_op LLAVE_CIERRAow_op : ID\n | CURRENT_USER\n | SESSION_USERdrop_statement : DROP DATABASE if_exists IDdrop_statement : DROP TABLE IDif_exists : IF EXISTS\n | contenido_tabla : contenido_tabla COMA manejo_tablacontenido_tabla : manejo_tablamanejo_tabla : declaracion_columna\n | condition_columndeclaracion_columna : ID type_column condition_column_rowdeclaracion_columna : ID type_columntype_column : SMALLINT\n | INTEGER\n\t | BIGINT\n\t | DECIMAL\n\t | NUMERIC\n\t | REAL\n\t | DOUBLE PRECISION\n\t | MONEY\n\t | VARCHAR PAR_ABRE ENTERO PAR_CIERRA\n | CHAR PAR_ABRE ENTERO PAR_CIERRA\n | CHARACTER PAR_ABRE ENTERO PAR_CIERRA\n | CHARACTER VARYING PAR_ABRE ENTERO PAR_CIERRA\n \t | TEXT\n\t | DATE\n | TIMESTAMP\n | TIMEcondition_column_row : condition_column_row condition_columncondition_column_row : condition_columncondition_column : constraint UNIQUE PAR_ABRE list_id PAR_CIERRA\n | constraint CHECK PAR_ABRE expression PAR_CIERRA\n | constraint key_tablecondition_column : key_table_row\n | key_tablecondition_column : DEFAULT expression\n | NOT NULL\n | UNIQUE PAR_ABRE list_id PAR_CIERRA\n | CHECK PAR_ABRE expression PAR_CIERRA\n \t\t | condition_column : constraint UNIQUE\n | UNIQUEkey_table_row : PRIMARY KEY\n | FOREIGN KEY REFERENCES ID PAR_ABRE ID PAR_CIERRAconstraint : CONSTRAINT ID\n | list_id : list_id COMA aliaslist_id : aliasalias : IDkey_table : PRIMARY KEY list_key\n\t | FOREIGN KEY list_key REFERENCES ID list_keylist_key : PAR_ABRE list_id PAR_CIERRA\n\t | alter_op : ADD condition_column\n\t | ALTER COLUMN ID alter_col_op\n\t | DROP alter_drop ID\n | RENAME TO IDalter_op : ADD COLUMN ID type_column condition_columnalter_drop : CONSTRAINT\n\t | COLUMN op_add : CHECK PAR_ABRE ID DIFERENTE CADENA PAR_CIERRA\n | CONSTRAINT ID UNIQUE PAR_ABRE ID PAR_CIERRA\n | key_table REFERENCES PAR_ABRE list_id PAR_CIERRAalter_col_op : SET NOT NULL\n | SET DEFAULT expression\n | TYPE type_columninherits_statement : INHERITS PAR_ABRE ID PAR_CIERRA\n | list_val : list_val COMA expressionlist_val : expressionwhere : WHERE expression\n | seleccionar : SELECT distinto select_list FROM list_id donde group_by order_by group_having limiteseleccionar : SELECT GREATEST expressiones\n | SELECT LEAST expressionesseleccionar : SELECT list_expression_fexpressiones : PAR_ABRE list_expression PAR_CIERRAexpressiones : list_expressiondistinto : DISTINCT\n\t | select_list : ASTERISCO\n\t | expressiones table_expression : expressionesdonde : WHERE expression\n | group_by : GROUP BY list_id\n | order_by : ORDER BY list_id asc_desc nulls_f_l\n | group_having : HAVING expressiones\n | asc_desc : ASC\n\t | DESCnulls_f_l : NULLS LAST\n\t | NULLS FIRST\n\t | limite : LIMIT ENTERO\n\t | LIMIT ALL\n\t | OFFSET ENTERO\n\t | list_expression : list_expression COMA expressionlist_expression : expressionlist_expression_f : list_expression_f COMA expression_flist_expression_f : expression_fexpression : SUBSTRING PAR_ABRE expression COMA expression COMA expression PAR_CIERRAexpression : expression NOT BETWEEN SYMMETRIC expression AND expressionexpression : expression NOT BETWEEN expression AND expression\n | expression BETWEEN SYMMETRIC expression AND expressionexpression : expression BETWEEN expression AND expressionexpression : expression IS DISTINCT FROM expressionexpression : expression IS NOT DISTINCT FROM expressionexpression : ID PUNTO IDexpression : expression IS NOT NULL\n | expression IS NOT TRUE\n | expression IS NOT FALSE\n | expression IS NOT UNKNOWNexpression : expression IS NULL\n | expression IS TRUE\n | expression IS FALSE\n | expression IS UNKNOWNexpression : expression ISNULL\n | expression NOTNULLexpression : SUM PAR_ABRE expression PAR_CIERRA\n | COUNT PAR_ABRE expression PAR_CIERRA\n | AVG PAR_ABRE expression PAR_CIERRA\n | MAX PAR_ABRE expression PAR_CIERRA\n | MIN PAR_ABRE expression PAR_CIERRA\n | ABS PAR_ABRE expression PAR_CIERRA\n | CBRT PAR_ABRE expression PAR_CIERRA\n | CEIL PAR_ABRE expression PAR_CIERRA\n | CEILING PAR_ABRE expression PAR_CIERRA \n | DEGREES PAR_ABRE expression PAR_CIERRA\n | DIV PAR_ABRE expression COMA expression PAR_CIERRA\n | EXP PAR_ABRE expression PAR_CIERRA\n | FACTORIAL PAR_ABRE expression PAR_CIERRA \n | FLOOR PAR_ABRE expression PAR_CIERRA\n | GCD PAR_ABRE expression COMA expression PAR_CIERRA\n | LN PAR_ABRE expression PAR_CIERRA\n | LOG PAR_ABRE expression PAR_CIERRA\n | MOD PAR_ABRE expression COMA expression PAR_CIERRA\n | PI PAR_ABRE PAR_CIERRA\n | POWER PAR_ABRE expression COMA expression PAR_CIERRA\n | RADIANS PAR_ABRE expression PAR_CIERRA\n | ROUND PAR_ABRE expression PAR_CIERRA\n | SIGN PAR_ABRE expression PAR_CIERRA\n | SQRT PAR_ABRE expression PAR_CIERRA\n | WIDTH_BUCKET PAR_ABRE expression COMA expression COMA expression COMA expression PAR_CIERRA\n | TRUNC PAR_ABRE expression PAR_CIERRA\n | RANDOM PAR_ABRE PAR_CIERRA expression : ACOS PAR_ABRE expression PAR_CIERRA\n | ACOSD PAR_ABRE expression PAR_CIERRA\n | ASIN PAR_ABRE expression PAR_CIERRA\n | ASIND PAR_ABRE expression PAR_CIERRA\n | ATAN PAR_ABRE expression PAR_CIERRA\n | ATAND PAR_ABRE expression PAR_CIERRA\n | ATAN2 PAR_ABRE expression COMA expression PAR_CIERRA\n | ATAN2D PAR_ABRE expression COMA expression PAR_CIERRA\n | COS PAR_ABRE expression PAR_CIERRA\n | COSD PAR_ABRE expression PAR_CIERRA\n | COT PAR_ABRE expression PAR_CIERRA\n | COTD PAR_ABRE expression PAR_CIERRA\n | SIN PAR_ABRE expression PAR_CIERRA\n | SIND PAR_ABRE expression PAR_CIERRA\n | TAN PAR_ABRE expression PAR_CIERRA\n | TAND PAR_ABRE expression PAR_CIERRA\n | SINH PAR_ABRE expression PAR_CIERRA\n | COSH PAR_ABRE expression PAR_CIERRA\n | TANH PAR_ABRE expression PAR_CIERRA\n | ASINH PAR_ABRE expression PAR_CIERRA\n | ACOSH PAR_ABRE expression PAR_CIERRA\n | ATANH PAR_ABRE expression PAR_CIERRA expression_f : SUM PAR_ABRE expression PAR_CIERRA\n | COUNT PAR_ABRE expression PAR_CIERRA\n | AVG PAR_ABRE expression PAR_CIERRA\n | MAX PAR_ABRE expression PAR_CIERRA\n | MIN PAR_ABRE expression PAR_CIERRA\n | ABS PAR_ABRE expression PAR_CIERRA\n | CBRT PAR_ABRE expression PAR_CIERRA\n | CEIL PAR_ABRE expression PAR_CIERRA\n | CEILING PAR_ABRE expression PAR_CIERRA \n | DEGREES PAR_ABRE expression PAR_CIERRA\n | DIV PAR_ABRE expression COMA expression PAR_CIERRA\n | EXP PAR_ABRE expression PAR_CIERRA\n | FACTORIAL PAR_ABRE expression PAR_CIERRA \n | FLOOR PAR_ABRE expression PAR_CIERRA\n | GCD PAR_ABRE expression COMA expression PAR_CIERRA\n | LN PAR_ABRE expression PAR_CIERRA\n | LOG PAR_ABRE expression PAR_CIERRA\n | MOD PAR_ABRE expression COMA expression PAR_CIERRA\n | PI PAR_ABRE PAR_CIERRA\n | POWER PAR_ABRE expression COMA expression PAR_CIERRA\n | RADIANS PAR_ABRE expression PAR_CIERRA\n | ROUND PAR_ABRE expression PAR_CIERRA\n | SIGN PAR_ABRE expression PAR_CIERRA\n | SQRT PAR_ABRE expression PAR_CIERRA\n | WIDTH_BUCKET PAR_ABRE expression COMA expression COMA expression COMA expression PAR_CIERRA\n | TRUNC PAR_ABRE expression PAR_CIERRA\n | RANDOM PAR_ABRE PAR_CIERRA expression_f : ACOS PAR_ABRE expression PAR_CIERRA\n | ACOSD PAR_ABRE expression PAR_CIERRA\n | ASIN PAR_ABRE expression PAR_CIERRA\n | ASIND PAR_ABRE expression PAR_CIERRA\n | ATAN PAR_ABRE expression PAR_CIERRA\n | ATAND PAR_ABRE expression PAR_CIERRA\n | ATAN2 PAR_ABRE expression COMA expression PAR_CIERRA\n | ATAN2D PAR_ABRE expression COMA expression PAR_CIERRA\n | COS PAR_ABRE expression PAR_CIERRA\n | COSD PAR_ABRE expression PAR_CIERRA\n | COT PAR_ABRE expression PAR_CIERRA\n | COTD PAR_ABRE expression PAR_CIERRA\n | SIN PAR_ABRE expression PAR_CIERRA\n | SIND PAR_ABRE expression PAR_CIERRA\n | TAN PAR_ABRE expression PAR_CIERRA\n | TAND PAR_ABRE expression PAR_CIERRA\n | SINH PAR_ABRE expression PAR_CIERRA\n | COSH PAR_ABRE expression PAR_CIERRA\n | TANH PAR_ABRE expression PAR_CIERRA\n | ASINH PAR_ABRE expression PAR_CIERRA\n | ACOSH PAR_ABRE expression PAR_CIERRA\n | ATANH PAR_ABRE expression PAR_CIERRA expression : seleccionarexpression : PAR_ABRE expression PAR_CIERRAexpression : expression MAYOR expressionexpression : expression MENOR expressionexpression : expression MAYOR_IGUAL expressionexpression : expression MENOR_IGUAL expressionexpression : expression IGUAL expressionexpression : expression NO_IGUAL expressionexpression : expression DIFERENTE expressionexpression : expression AND expressionexpression : expression OR expressionexpression : NOT expressionexpression : ID\n | ASTERISCOexpression : ENTEROexpression : DECIMAL_NUMexpression : NULLexpression : CADENA'
_lr_action_items = 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_lr_action = {}
for _k, _v in _lr_action_items.items():
for _x,_y in zip(_v[0],_v[1]):
if not _x in _lr_action: _lr_action[_x] = {}
_lr_action[_x][_k] = _y
del _lr_action_items
_lr_goto_items = {'init':([0,],[1,]),'instrucciones':([0,],[2,]),'instruccion':([0,2,],[3,19,]),'crear_statement':([0,2,],[4,4,]),'alter_statement':([0,2,],[5,5,]),'drop_statement':([0,2,],[6,6,]),'seleccionar':([0,2,11,38,39,40,110,114,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,193,194,195,196,197,198,199,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,227,245,248,250,251,255,256,257,258,259,260,261,262,263,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,285,286,287,288,289,290,291,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,365,369,370,382,404,406,483,487,490,491,496,504,505,551,568,570,571,573,579,590,594,597,598,603,611,612,635,640,652,675,678,680,693,698,718,725,728,733,752,758,770,],[7,7,27,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,524,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,166,]),'union':([0,2,],[8,8,]),'or_replace':([15,],[32,]),'distinto':([18,],[38,]),'list_expression_f':([18,],[41,]),'expression_f':([18,173,],[43,315,]),'if_exists':([36,],[104,]),'select_list':([38,],[107,]),'expressiones':([38,39,40,752,],[109,170,172,767,]),'list_expression':([38,39,40,110,752,],[111,111,111,246,111,]),'expression':([38,39,40,110,114,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,193,194,195,196,197,198,199,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,227,245,248,250,251,255,256,257,258,259,260,261,262,263,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,285,286,287,288,289,290,291,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,365,370,382,404,406,483,487,490,491,496,504,505,551,568,570,571,573,579,590,594,597,598,603,611,612,635,640,652,675,678,680,693,698,718,725,728,733,752,758,770,],[112,112,112,247,264,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,335,336,337,338,339,340,341,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,371,400,403,405,407,414,415,416,417,418,419,420,421,422,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,443,444,445,446,447,448,449,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,521,525,552,569,572,627,628,629,630,631,632,633,656,674,676,677,679,681,682,683,684,685,686,687,688,697,700,708,724,726,727,736,521,750,755,756,757,112,771,780,]),'if_not_exists':([100,],[231,]),'rename_owner':([102,],[233,]),'alter_list':([103,],[237,]),'alter_op':([103,392,],[238,563,]),'list_id':([224,244,550,651,658,723,753,],[367,399,655,707,711,754,768,]),'alias':([224,244,523,550,651,658,723,753,],[368,368,637,368,368,368,368,368,]),'contenido_tabla':([230,],[373,]),'manejo_tabla':([230,544,],[374,650,]),'declaracion_columna':([230,544,],[375,375,]),'condition_column':([230,239,527,544,641,671,],[376,393,642,376,701,720,]),'constraint':([230,239,527,544,641,671,],[377,377,377,377,377,377,]),'key_table':([230,239,377,527,544,641,671,],[380,380,547,380,380,380,380,]),'key_table_row':([230,239,527,544,641,671,],[381,381,381,381,381,381,]),'alter_drop':([240,],[395,]),'list_val':([365,698,],[520,737,]),'type_column':([372,564,670,],[527,671,719,]),'owner_':([387,],[557,]),'donde':([399,],[567,]),'where':([525,],[639,]),'condition_column_row':([527,],[641,]),'inherits_statement':([543,],[648,]),'list_key':([555,556,653,654,747,],[657,660,657,660,763,]),'mode_':([557,],[661,]),'ow_op':([561,],[664,]),'alter_col_op':([562,],[668,]),'group_by':([567,],[672,]),'order_by':([672,],[721,]),'group_having':([721,],[751,]),'limite':([751,],[764,]),'asc_desc':([768,],[777,]),'nulls_f_l':([777,],[782,]),}
_lr_goto = {}
for _k, _v in _lr_goto_items.items():
for _x, _y in zip(_v[0], _v[1]):
if not _x in _lr_goto: _lr_goto[_x] = {}
_lr_goto[_x][_k] = _y
del _lr_goto_items
_lr_productions = [
("S' -> init","S'",1,None,None,None),
('init -> instrucciones','init',1,'p_init','sql_grammar.py',366),
('instrucciones -> instrucciones instruccion','instrucciones',2,'p_instrucciones_lista','sql_grammar.py',371),
('instrucciones -> instruccion','instrucciones',1,'p_instrucciones_instruccion','sql_grammar.py',377),
('instruccion -> crear_statement PUNTOCOMA','instruccion',2,'p_instruccion','sql_grammar.py',382),
('instruccion -> alter_statement PUNTOCOMA','instruccion',2,'p_instruccion','sql_grammar.py',383),
('instruccion -> drop_statement PUNTOCOMA','instruccion',2,'p_instruccion','sql_grammar.py',384),
('instruccion -> seleccionar PUNTOCOMA','instruccion',2,'p_instruccion','sql_grammar.py',385),
('instruccion -> union PUNTOCOMA','instruccion',2,'p_instruccion','sql_grammar.py',386),
('instruccion -> SHOW DATABASES PUNTOCOMA','instruccion',3,'p_aux_instruccion','sql_grammar.py',391),
('instruccion -> INSERT INTO ID VALUES PAR_ABRE list_val PAR_CIERRA PUNTOCOMA','instruccion',8,'p_aux_instruccion','sql_grammar.py',392),
('instruccion -> INSERT INTO ID PAR_ABRE list_id PAR_CIERRA VALUES PAR_ABRE list_val PAR_CIERRA PUNTOCOMA','instruccion',11,'p_aux_instruccion','sql_grammar.py',393),
('instruccion -> UPDATE ID SET ID IGUAL expression where PUNTOCOMA','instruccion',8,'p_aux_instruccion','sql_grammar.py',394),
('instruccion -> DELETE FROM ID WHERE expression PUNTOCOMA','instruccion',6,'p_aux_instruccion','sql_grammar.py',395),
('instruccion -> DELETE FROM ID PUNTOCOMA','instruccion',4,'p_aux_instruccion','sql_grammar.py',396),
('instruccion -> USE DATABASE ID PUNTOCOMA','instruccion',4,'p_aux_instruccion','sql_grammar.py',397),
('union -> PAR_ABRE seleccionar PAR_CIERRA UNION PAR_ABRE seleccionar PAR_CIERRA','union',7,'p_union','sql_grammar.py',425),
('crear_statement -> CREATE TABLE ID PAR_ABRE contenido_tabla PAR_CIERRA inherits_statement','crear_statement',7,'p_crear_statement_tbl','sql_grammar.py',435),
('crear_statement -> CREATE or_replace DATABASE if_not_exists ID owner_ mode_','crear_statement',7,'p_crear_statement_db','sql_grammar.py',442),
('or_replace -> OR REPLACE','or_replace',2,'p_or_replace_db','sql_grammar.py',449),
('or_replace -> <empty>','or_replace',0,'p_or_replace_db','sql_grammar.py',450),
('if_not_exists -> IF NOT EXISTS','if_not_exists',3,'p_if_not_exists_db','sql_grammar.py',459),
('if_not_exists -> <empty>','if_not_exists',0,'p_if_not_exists_db','sql_grammar.py',460),
('owner_ -> OWNER IGUAL ID','owner_',3,'p_owner_db','sql_grammar.py',469),
('owner_ -> <empty>','owner_',0,'p_owner_db','sql_grammar.py',470),
('mode_ -> MODE IGUAL ENTERO','mode_',3,'p_mode_db','sql_grammar.py',481),
('mode_ -> <empty>','mode_',0,'p_mode_db','sql_grammar.py',482),
('alter_statement -> ALTER DATABASE ID rename_owner','alter_statement',4,'p_alter_db','sql_grammar.py',493),
('alter_statement -> ALTER TABLE ID alter_list','alter_statement',4,'p_alter_tbl','sql_grammar.py',500),
('alter_list -> alter_list COMA alter_op','alter_list',3,'p_lista_alter','sql_grammar.py',507),
('alter_list -> alter_op','alter_list',1,'p_aux_lista_alter','sql_grammar.py',513),
('rename_owner -> RENAME TO ID','rename_owner',3,'p_rename_owner_db','sql_grammar.py',518),
('rename_owner -> OWNER TO LLAVE_ABRE ow_op LLAVE_CIERRA','rename_owner',5,'p_rename_owner_db','sql_grammar.py',519),
('ow_op -> ID','ow_op',1,'p_ow_op_db','sql_grammar.py',530),
('ow_op -> CURRENT_USER','ow_op',1,'p_ow_op_db','sql_grammar.py',531),
('ow_op -> SESSION_USER','ow_op',1,'p_ow_op_db','sql_grammar.py',532),
('drop_statement -> DROP DATABASE if_exists ID','drop_statement',4,'p_drop_db','sql_grammar.py',537),
('drop_statement -> DROP TABLE ID','drop_statement',3,'p_drop_tbl','sql_grammar.py',547),
('if_exists -> IF EXISTS','if_exists',2,'p_if_exists_db','sql_grammar.py',554),
('if_exists -> <empty>','if_exists',0,'p_if_exists_db','sql_grammar.py',555),
('contenido_tabla -> contenido_tabla COMA manejo_tabla','contenido_tabla',3,'p_contenido_tabla','sql_grammar.py',563),
('contenido_tabla -> manejo_tabla','contenido_tabla',1,'p_aux_contenido_table','sql_grammar.py',569),
('manejo_tabla -> declaracion_columna','manejo_tabla',1,'p_manejo_tabla','sql_grammar.py',574),
('manejo_tabla -> condition_column','manejo_tabla',1,'p_manejo_tabla','sql_grammar.py',575),
('declaracion_columna -> ID type_column condition_column_row','declaracion_columna',3,'p_aux_declaracion_columna','sql_grammar.py',580),
('declaracion_columna -> ID type_column','declaracion_columna',2,'p_declaracion_columna','sql_grammar.py',587),
('type_column -> SMALLINT','type_column',1,'p_type_column','sql_grammar.py',594),
('type_column -> INTEGER','type_column',1,'p_type_column','sql_grammar.py',595),
('type_column -> BIGINT','type_column',1,'p_type_column','sql_grammar.py',596),
('type_column -> DECIMAL','type_column',1,'p_type_column','sql_grammar.py',597),
('type_column -> NUMERIC','type_column',1,'p_type_column','sql_grammar.py',598),
('type_column -> REAL','type_column',1,'p_type_column','sql_grammar.py',599),
('type_column -> DOUBLE PRECISION','type_column',2,'p_type_column','sql_grammar.py',600),
('type_column -> MONEY','type_column',1,'p_type_column','sql_grammar.py',601),
('type_column -> VARCHAR PAR_ABRE ENTERO PAR_CIERRA','type_column',4,'p_type_column','sql_grammar.py',602),
('type_column -> CHAR PAR_ABRE ENTERO PAR_CIERRA','type_column',4,'p_type_column','sql_grammar.py',603),
('type_column -> CHARACTER PAR_ABRE ENTERO PAR_CIERRA','type_column',4,'p_type_column','sql_grammar.py',604),
('type_column -> CHARACTER VARYING PAR_ABRE ENTERO PAR_CIERRA','type_column',5,'p_type_column','sql_grammar.py',605),
('type_column -> TEXT','type_column',1,'p_type_column','sql_grammar.py',606),
('type_column -> DATE','type_column',1,'p_type_column','sql_grammar.py',607),
('type_column -> TIMESTAMP','type_column',1,'p_type_column','sql_grammar.py',608),
('type_column -> TIME','type_column',1,'p_type_column','sql_grammar.py',609),
('condition_column_row -> condition_column_row condition_column','condition_column_row',2,'p_condition_column_row','sql_grammar.py',643),
('condition_column_row -> condition_column','condition_column_row',1,'p_aux_condition_column_row','sql_grammar.py',649),
('condition_column -> constraint UNIQUE PAR_ABRE list_id PAR_CIERRA','condition_column',5,'p_condition_column','sql_grammar.py',654),
('condition_column -> constraint CHECK PAR_ABRE expression PAR_CIERRA','condition_column',5,'p_condition_column','sql_grammar.py',655),
('condition_column -> constraint key_table','condition_column',2,'p_condition_column','sql_grammar.py',656),
('condition_column -> key_table_row','condition_column',1,'p_aux_condition_key_table','sql_grammar.py',670),
('condition_column -> key_table','condition_column',1,'p_aux_condition_key_table','sql_grammar.py',671),
('condition_column -> DEFAULT expression','condition_column',2,'p_aux_condition_column','sql_grammar.py',676),
('condition_column -> NOT NULL','condition_column',2,'p_aux_condition_column','sql_grammar.py',677),
('condition_column -> UNIQUE PAR_ABRE list_id PAR_CIERRA','condition_column',4,'p_aux_condition_column','sql_grammar.py',678),
('condition_column -> CHECK PAR_ABRE expression PAR_CIERRA','condition_column',4,'p_aux_condition_column','sql_grammar.py',679),
('condition_column -> <empty>','condition_column',0,'p_aux_condition_column','sql_grammar.py',680),
('condition_column -> constraint UNIQUE','condition_column',2,'p_condition_unique','sql_grammar.py',700),
('condition_column -> UNIQUE','condition_column',1,'p_condition_unique','sql_grammar.py',701),
('key_table_row -> PRIMARY KEY','key_table_row',2,'p_key_table_row','sql_grammar.py',712),
('key_table_row -> FOREIGN KEY REFERENCES ID PAR_ABRE ID PAR_CIERRA','key_table_row',7,'p_key_table_row','sql_grammar.py',713),
('constraint -> CONSTRAINT ID','constraint',2,'p_constraint','sql_grammar.py',726),
('constraint -> <empty>','constraint',0,'p_constraint','sql_grammar.py',727),
('list_id -> list_id COMA alias','list_id',3,'p_list_id','sql_grammar.py',737),
('list_id -> alias','list_id',1,'p_aux_list_id','sql_grammar.py',743),
('alias -> ID','alias',1,'p_alias','sql_grammar.py',748),
('key_table -> PRIMARY KEY list_key','key_table',3,'p_key_table','sql_grammar.py',753),
('key_table -> FOREIGN KEY list_key REFERENCES ID list_key','key_table',6,'p_key_table','sql_grammar.py',754),
('list_key -> PAR_ABRE list_id PAR_CIERRA','list_key',3,'p_list_key','sql_grammar.py',765),
('list_key -> <empty>','list_key',0,'p_list_key','sql_grammar.py',766),
('alter_op -> ADD condition_column','alter_op',2,'p_alter_op','sql_grammar.py',774),
('alter_op -> ALTER COLUMN ID alter_col_op','alter_op',4,'p_alter_op','sql_grammar.py',775),
('alter_op -> DROP alter_drop ID','alter_op',3,'p_alter_op','sql_grammar.py',776),
('alter_op -> RENAME TO ID','alter_op',3,'p_alter_op','sql_grammar.py',777),
('alter_op -> ADD COLUMN ID type_column condition_column','alter_op',5,'p_alter_op_add_col','sql_grammar.py',797),
('alter_drop -> CONSTRAINT','alter_drop',1,'p_aux_alter_op','sql_grammar.py',804),
('alter_drop -> COLUMN','alter_drop',1,'p_aux_alter_op','sql_grammar.py',805),
('op_add -> CHECK PAR_ABRE ID DIFERENTE CADENA PAR_CIERRA','op_add',6,'p_op_add','sql_grammar.py',810),
('op_add -> CONSTRAINT ID UNIQUE PAR_ABRE ID PAR_CIERRA','op_add',6,'p_op_add','sql_grammar.py',811),
('op_add -> key_table REFERENCES PAR_ABRE list_id PAR_CIERRA','op_add',5,'p_op_add','sql_grammar.py',812),
('alter_col_op -> SET NOT NULL','alter_col_op',3,'p_alter_col_op','sql_grammar.py',826),
('alter_col_op -> SET DEFAULT expression','alter_col_op',3,'p_alter_col_op','sql_grammar.py',827),
('alter_col_op -> TYPE type_column','alter_col_op',2,'p_alter_col_op','sql_grammar.py',828),
('inherits_statement -> INHERITS PAR_ABRE ID PAR_CIERRA','inherits_statement',4,'p_inherits_tbl','sql_grammar.py',842),
('inherits_statement -> <empty>','inherits_statement',0,'p_inherits_tbl','sql_grammar.py',843),
('list_val -> list_val COMA expression','list_val',3,'p_list_val','sql_grammar.py',853),
('list_val -> expression','list_val',1,'p_aux_list_val','sql_grammar.py',859),
('where -> WHERE expression','where',2,'p_where','sql_grammar.py',864),
('where -> <empty>','where',0,'p_where','sql_grammar.py',865),
('seleccionar -> SELECT distinto select_list FROM list_id donde group_by order_by group_having limite','seleccionar',10,'p_seleccionar','sql_grammar.py',876),
('seleccionar -> SELECT GREATEST expressiones','seleccionar',3,'p_aux_seleccionar','sql_grammar.py',886),
('seleccionar -> SELECT LEAST expressiones','seleccionar',3,'p_aux_seleccionar','sql_grammar.py',887),
('seleccionar -> SELECT list_expression_f','seleccionar',2,'p_seleccionar_funciones','sql_grammar.py',893),
('expressiones -> PAR_ABRE list_expression PAR_CIERRA','expressiones',3,'p_expressiones','sql_grammar.py',903),
('expressiones -> list_expression','expressiones',1,'p_aux_expressiones','sql_grammar.py',908),
('distinto -> DISTINCT','distinto',1,'p_distinto','sql_grammar.py',913),
('distinto -> <empty>','distinto',0,'p_distinto','sql_grammar.py',914),
('select_list -> ASTERISCO','select_list',1,'p_select_list','sql_grammar.py',922),
('select_list -> expressiones','select_list',1,'p_select_list','sql_grammar.py',923),
('table_expression -> expressiones','table_expression',1,'p_table_expression','sql_grammar.py',928),
('donde -> WHERE expression','donde',2,'p_donde','sql_grammar.py',933),
('donde -> <empty>','donde',0,'p_donde','sql_grammar.py',934),
('group_by -> GROUP BY list_id','group_by',3,'p_group_by','sql_grammar.py',944),
('group_by -> <empty>','group_by',0,'p_group_by','sql_grammar.py',945),
('order_by -> ORDER BY list_id asc_desc nulls_f_l','order_by',5,'p_order_by','sql_grammar.py',956),
('order_by -> <empty>','order_by',0,'p_order_by','sql_grammar.py',957),
('group_having -> HAVING expressiones','group_having',2,'p_group_having','sql_grammar.py',967),
('group_having -> <empty>','group_having',0,'p_group_having','sql_grammar.py',968),
('asc_desc -> ASC','asc_desc',1,'p_asc_desc','sql_grammar.py',978),
('asc_desc -> DESC','asc_desc',1,'p_asc_desc','sql_grammar.py',979),
('nulls_f_l -> NULLS LAST','nulls_f_l',2,'p_nulls_f_l','sql_grammar.py',984),
('nulls_f_l -> NULLS FIRST','nulls_f_l',2,'p_nulls_f_l','sql_grammar.py',985),
('nulls_f_l -> <empty>','nulls_f_l',0,'p_nulls_f_l','sql_grammar.py',986),
('limite -> LIMIT ENTERO','limite',2,'p_limite','sql_grammar.py',994),
('limite -> LIMIT ALL','limite',2,'p_limite','sql_grammar.py',995),
('limite -> OFFSET ENTERO','limite',2,'p_limite','sql_grammar.py',996),
('limite -> <empty>','limite',0,'p_limite','sql_grammar.py',997),
('list_expression -> list_expression COMA expression','list_expression',3,'p_list_expression','sql_grammar.py',1007),
('list_expression -> expression','list_expression',1,'p_aux_list_expression','sql_grammar.py',1013),
('list_expression_f -> list_expression_f COMA expression_f','list_expression_f',3,'p_list_expression_f','sql_grammar.py',1017),
('list_expression_f -> expression_f','list_expression_f',1,'p_aux_list_expression_f','sql_grammar.py',1023),
('expression -> SUBSTRING PAR_ABRE expression COMA expression COMA expression PAR_CIERRA','expression',8,'p_expression','sql_grammar.py',1028),
('expression -> expression NOT BETWEEN SYMMETRIC expression AND expression','expression',7,'p_expression_between3','sql_grammar.py',1038),
('expression -> expression NOT BETWEEN expression AND expression','expression',6,'p_expression_between2','sql_grammar.py',1049),
('expression -> expression BETWEEN SYMMETRIC expression AND expression','expression',6,'p_expression_between2','sql_grammar.py',1050),
('expression -> expression BETWEEN expression AND expression','expression',5,'p_expression_between','sql_grammar.py',1060),
('expression -> expression IS DISTINCT FROM expression','expression',5,'p_expression_Distinct','sql_grammar.py',1071),
('expression -> expression IS NOT DISTINCT FROM expression','expression',6,'p_expression_not_Distinct','sql_grammar.py',1081),
('expression -> ID PUNTO ID','expression',3,'p_expression_puntoId','sql_grammar.py',1092),
('expression -> expression IS NOT NULL','expression',4,'p_expression_null3','sql_grammar.py',1102),
('expression -> expression IS NOT TRUE','expression',4,'p_expression_null3','sql_grammar.py',1103),
('expression -> expression IS NOT FALSE','expression',4,'p_expression_null3','sql_grammar.py',1104),
('expression -> expression IS NOT UNKNOWN','expression',4,'p_expression_null3','sql_grammar.py',1105),
('expression -> expression IS NULL','expression',3,'p_expression_null2','sql_grammar.py',1115),
('expression -> expression IS TRUE','expression',3,'p_expression_null2','sql_grammar.py',1116),
('expression -> expression IS FALSE','expression',3,'p_expression_null2','sql_grammar.py',1117),
('expression -> expression IS UNKNOWN','expression',3,'p_expression_null2','sql_grammar.py',1118),
('expression -> expression ISNULL','expression',2,'p_expression_null','sql_grammar.py',1128),
('expression -> expression NOTNULL','expression',2,'p_expression_null','sql_grammar.py',1129),
('expression -> SUM PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1139),
('expression -> COUNT PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1140),
('expression -> AVG PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1141),
('expression -> MAX PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1142),
('expression -> MIN PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1143),
('expression -> ABS PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1144),
('expression -> CBRT PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1145),
('expression -> CEIL PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1146),
('expression -> CEILING PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1147),
('expression -> DEGREES PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1148),
('expression -> DIV PAR_ABRE expression COMA expression PAR_CIERRA','expression',6,'p_expression_agrupar','sql_grammar.py',1149),
('expression -> EXP PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1150),
('expression -> FACTORIAL PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1151),
('expression -> FLOOR PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1152),
('expression -> GCD PAR_ABRE expression COMA expression PAR_CIERRA','expression',6,'p_expression_agrupar','sql_grammar.py',1153),
('expression -> LN PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1154),
('expression -> LOG PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1155),
('expression -> MOD PAR_ABRE expression COMA expression PAR_CIERRA','expression',6,'p_expression_agrupar','sql_grammar.py',1156),
('expression -> PI PAR_ABRE PAR_CIERRA','expression',3,'p_expression_agrupar','sql_grammar.py',1157),
('expression -> POWER PAR_ABRE expression COMA expression PAR_CIERRA','expression',6,'p_expression_agrupar','sql_grammar.py',1158),
('expression -> RADIANS PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1159),
('expression -> ROUND PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1160),
('expression -> SIGN PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1161),
('expression -> SQRT PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1162),
('expression -> WIDTH_BUCKET PAR_ABRE expression COMA expression COMA expression COMA expression PAR_CIERRA','expression',10,'p_expression_agrupar','sql_grammar.py',1163),
('expression -> TRUNC PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_agrupar','sql_grammar.py',1164),
('expression -> RANDOM PAR_ABRE PAR_CIERRA','expression',3,'p_expression_agrupar','sql_grammar.py',1165),
('expression -> ACOS PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1180),
('expression -> ACOSD PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1181),
('expression -> ASIN PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1182),
('expression -> ASIND PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1183),
('expression -> ATAN PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1184),
('expression -> ATAND PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1185),
('expression -> ATAN2 PAR_ABRE expression COMA expression PAR_CIERRA','expression',6,'p_expression_trigonometric','sql_grammar.py',1186),
('expression -> ATAN2D PAR_ABRE expression COMA expression PAR_CIERRA','expression',6,'p_expression_trigonometric','sql_grammar.py',1187),
('expression -> COS PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1188),
('expression -> COSD PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1189),
('expression -> COT PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1190),
('expression -> COTD PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1191),
('expression -> SIN PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1192),
('expression -> SIND PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1193),
('expression -> TAN PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1194),
('expression -> TAND PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1195),
('expression -> SINH PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1196),
('expression -> COSH PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1197),
('expression -> TANH PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1198),
('expression -> ASINH PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1199),
('expression -> ACOSH PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1200),
('expression -> ATANH PAR_ABRE expression PAR_CIERRA','expression',4,'p_expression_trigonometric','sql_grammar.py',1201),
('expression_f -> SUM PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1214),
('expression_f -> COUNT PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1215),
('expression_f -> AVG PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1216),
('expression_f -> MAX PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1217),
('expression_f -> MIN PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1218),
('expression_f -> ABS PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1219),
('expression_f -> CBRT PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1220),
('expression_f -> CEIL PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1221),
('expression_f -> CEILING PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1222),
('expression_f -> DEGREES PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1223),
('expression_f -> DIV PAR_ABRE expression COMA expression PAR_CIERRA','expression_f',6,'p_expression_agrupar_f','sql_grammar.py',1224),
('expression_f -> EXP PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1225),
('expression_f -> FACTORIAL PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1226),
('expression_f -> FLOOR PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1227),
('expression_f -> GCD PAR_ABRE expression COMA expression PAR_CIERRA','expression_f',6,'p_expression_agrupar_f','sql_grammar.py',1228),
('expression_f -> LN PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1229),
('expression_f -> LOG PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1230),
('expression_f -> MOD PAR_ABRE expression COMA expression PAR_CIERRA','expression_f',6,'p_expression_agrupar_f','sql_grammar.py',1231),
('expression_f -> PI PAR_ABRE PAR_CIERRA','expression_f',3,'p_expression_agrupar_f','sql_grammar.py',1232),
('expression_f -> POWER PAR_ABRE expression COMA expression PAR_CIERRA','expression_f',6,'p_expression_agrupar_f','sql_grammar.py',1233),
('expression_f -> RADIANS PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1234),
('expression_f -> ROUND PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1235),
('expression_f -> SIGN PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1236),
('expression_f -> SQRT PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1237),
('expression_f -> WIDTH_BUCKET PAR_ABRE expression COMA expression COMA expression COMA expression PAR_CIERRA','expression_f',10,'p_expression_agrupar_f','sql_grammar.py',1238),
('expression_f -> TRUNC PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_agrupar_f','sql_grammar.py',1239),
('expression_f -> RANDOM PAR_ABRE PAR_CIERRA','expression_f',3,'p_expression_agrupar_f','sql_grammar.py',1240),
('expression_f -> ACOS PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1255),
('expression_f -> ACOSD PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1256),
('expression_f -> ASIN PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1257),
('expression_f -> ASIND PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1258),
('expression_f -> ATAN PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1259),
('expression_f -> ATAND PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1260),
('expression_f -> ATAN2 PAR_ABRE expression COMA expression PAR_CIERRA','expression_f',6,'p_expression_trigonometric_f','sql_grammar.py',1261),
('expression_f -> ATAN2D PAR_ABRE expression COMA expression PAR_CIERRA','expression_f',6,'p_expression_trigonometric_f','sql_grammar.py',1262),
('expression_f -> COS PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1263),
('expression_f -> COSD PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1264),
('expression_f -> COT PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1265),
('expression_f -> COTD PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1266),
('expression_f -> SIN PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1267),
('expression_f -> SIND PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1268),
('expression_f -> TAN PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1269),
('expression_f -> TAND PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1270),
('expression_f -> SINH PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1271),
('expression_f -> COSH PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1272),
('expression_f -> TANH PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1273),
('expression_f -> ASINH PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1274),
('expression_f -> ACOSH PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1275),
('expression_f -> ATANH PAR_ABRE expression PAR_CIERRA','expression_f',4,'p_expression_trigonometric_f','sql_grammar.py',1276),
('expression -> seleccionar','expression',1,'p_expression_select','sql_grammar.py',1289),
('expression -> PAR_ABRE expression PAR_CIERRA','expression',3,'p_expression_ss','sql_grammar.py',1294),
('expression -> expression MAYOR expression','expression',3,'p_expression_relacional_aux_mayor','sql_grammar.py',1299),
('expression -> expression MENOR expression','expression',3,'p_expression_relacional_aux_menor','sql_grammar.py',1306),
('expression -> expression MAYOR_IGUAL expression','expression',3,'p_expression_relacional_aux_mayorigual','sql_grammar.py',1313),
('expression -> expression MENOR_IGUAL expression','expression',3,'p_expression_relacional_aux_menorigual','sql_grammar.py',1320),
('expression -> expression IGUAL expression','expression',3,'p_expression_relacional_aux_igual','sql_grammar.py',1327),
('expression -> expression NO_IGUAL expression','expression',3,'p_expression_relacional_aux_noigual','sql_grammar.py',1334),
('expression -> expression DIFERENTE expression','expression',3,'p_expression_relacional_aux_diferente','sql_grammar.py',1341),
('expression -> expression AND expression','expression',3,'p_expression_logica_and__and','sql_grammar.py',1348),
('expression -> expression OR expression','expression',3,'p_expression_logica_or','sql_grammar.py',1355),
('expression -> NOT expression','expression',2,'p_expression_logica_not','sql_grammar.py',1362),
('expression -> ID','expression',1,'p_solouno_expression','sql_grammar.py',1369),
('expression -> ASTERISCO','expression',1,'p_solouno_expression','sql_grammar.py',1370),
('expression -> ENTERO','expression',1,'p_expression_entero','sql_grammar.py',1381),
('expression -> DECIMAL_NUM','expression',1,'p_expression_decimal','sql_grammar.py',1394),
('expression -> NULL','expression',1,'p_expression_nulo','sql_grammar.py',1416),
('expression -> CADENA','expression',1,'p_expression_cadena','sql_grammar.py',1423),
]
| 634.562914 | 142,975 | 0.71287 | 41,380 | 191,638 | 3.251087 | 0.031464 | 0.020144 | 0.024173 | 0.024679 | 0.860425 | 0.845573 | 0.824872 | 0.803821 | 0.790173 | 0.774861 | 0 | 0.564423 | 0.034623 | 191,638 | 301 | 142,976 | 636.671096 | 0.162754 | 0.000438 | 0 | 0.006873 | 1 | 0.003436 | 0.202429 | 0.018778 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 |
8801b06d4d0e9fe62b4b039bcb08fcaca2501011 | 5,321 | py | Python | dreamplace/ops/dct/dct2_fft2.py | choltz95/DREAMPlace | 195e176d9640d74949201d4a0aa7c040c00ac7d8 | [
"BSD-3-Clause"
] | 1 | 2019-09-26T06:07:39.000Z | 2019-09-26T06:07:39.000Z | dreamplace/ops/dct/dct2_fft2.py | HecatePhy/DREAMPlace | fd3fec54bdafddb9c80909d3768ddbae9256c118 | [
"BSD-3-Clause"
] | null | null | null | dreamplace/ops/dct/dct2_fft2.py | HecatePhy/DREAMPlace | fd3fec54bdafddb9c80909d3768ddbae9256c118 | [
"BSD-3-Clause"
] | 1 | 2019-10-22T23:42:50.000Z | 2019-10-22T23:42:50.000Z | ##
# @file dct2_fft2.py
# @author Zixuan Jiang, Jiaqi Gu
# @date Jun 2018
# @brief Implement 2d dct, 2d idct, idxst(idct(x)), idct(idxst(x)) based on 2d fft
#
import numpy as np
import torch
from torch.autograd import Function
from torch import nn
from dreamplace.ops.dct.discrete_spectral_transform import get_exact_expk as precompute_expk
import dreamplace.ops.dct.dct2_fft2_cpp as dct2_fft2_cpp
try:
import dreamplace.ops.dct.dct2_fft2_cuda as dct2_fft2_cuda
except:
pass
class DCT2Function(Function):
@staticmethod
def forward(ctx, x, expkM, expkN, out, buf):
if x.is_cuda:
dct2_fft2_cuda.dct2_fft2(x, expkM, expkN, out, buf)
else:
dct2_fft2_cpp.dct2_fft2(x, expkM, expkN, out, buf, torch.get_num_threads())
return out
class DCT2(nn.Module):
def __init__(self, expkM=None, expkN=None):
super(DCT2, self).__init__()
self.expkM = expkM
self.expkN = expkN
self.out = None
self.buf = None
def forward(self, x):
M = x.size(-2)
N = x.size(-1)
if self.expkM is None or self.expkM.size(-2) != M or self.expkM.dtype != x.dtype:
self.expkM = precompute_expk(M, dtype=x.dtype, device=x.device)
if self.expkN is None or self.expkN.size(-2) != N or self.expkN.dtype != x.dtype:
self.expkN = precompute_expk(N, dtype=x.dtype, device=x.device)
if self.out is None:
self.out = torch.empty(M, N, dtype=x.dtype, device=x.device)
self.buf = torch.empty(M, N // 2 + 1, 2, dtype=x.dtype, device=x.device)
return DCT2Function.apply(x, self.expkM, self.expkN, self.out, self.buf)
class IDCT2Function(Function):
@staticmethod
def forward(ctx, x, expkM, expkN, out, buf):
if x.is_cuda:
dct2_fft2_cuda.idct2_fft2(x, expkM, expkN, out, buf)
else:
dct2_fft2_cpp.idct2_fft2(x, expkM, expkN, out, buf, torch.get_num_threads())
return out
class IDCT2(nn.Module):
def __init__(self, expkM=None, expkN=None):
super(IDCT2, self).__init__()
self.expkM = expkM
self.expkN = expkN
self.out = None
self.buf = None
def forward(self, x):
M = x.size(-2)
N = x.size(-1)
if self.expkM is None or self.expkM.size(-2) != M or self.expkM.dtype != x.dtype:
self.expkM = precompute_expk(M, dtype=x.dtype, device=x.device)
if self.expkN is None or self.expkN.size(-2) != N or self.expkN.dtype != x.dtype:
self.expkN = precompute_expk(N, dtype=x.dtype, device=x.device)
if self.out is None:
self.out = torch.empty(M, N, dtype=x.dtype, device=x.device)
self.buf = torch.empty(M, N // 2 + 1, 2, dtype=x.dtype, device=x.device)
return IDCT2Function.apply(x, self.expkM, self.expkN, self.out, self.buf)
class IDCT_IDXSTFunction(Function):
@staticmethod
def forward(ctx, x, expkM, expkN, out, buf):
if x.is_cuda:
dct2_fft2_cuda.idct_idxst(x, expkM, expkN, out, buf)
else:
dct2_fft2_cpp.idct_idxst(x, expkM, expkN, out, buf, torch.get_num_threads())
return out
class IDCT_IDXST(nn.Module):
def __init__(self, expkM=None, expkN=None):
super(IDCT_IDXST, self).__init__()
self.expkM = expkM
self.expkN = expkN
self.out = None
self.buf = None
def forward(self, x):
M = x.size(-2)
N = x.size(-1)
if self.expkM is None or self.expkM.size(-2) != M or self.expkM.dtype != x.dtype:
self.expkM = precompute_expk(M, dtype=x.dtype, device=x.device)
if self.expkN is None or self.expkN.size(-2) != N or self.expkN.dtype != x.dtype:
self.expkN = precompute_expk(N, dtype=x.dtype, device=x.device)
if self.out is None:
self.out = torch.empty(M, N, dtype=x.dtype, device=x.device)
self.buf = torch.empty(M, N // 2 + 1, 2, dtype=x.dtype, device=x.device)
return IDCT_IDXSTFunction.apply(x, self.expkM, self.expkN, self.out, self.buf)
class IDXST_IDCTFunction(Function):
@staticmethod
def forward(ctx, x, expkM, expkN, out, buf):
if x.is_cuda:
dct2_fft2_cuda.idxst_idct(x, expkM, expkN, out, buf)
else:
dct2_fft2_cpp.idxst_idct(x, expkM, expkN, out, buf, torch.get_num_threads())
return out
class IDXST_IDCT(nn.Module):
def __init__(self, expkM=None, expkN=None):
super(IDXST_IDCT, self).__init__()
self.expkM = expkM
self.expkN = expkN
self.out = None
self.buf = None
def forward(self, x):
M = x.size(-2)
N = x.size(-1)
if self.expkM is None or self.expkM.size(-2) != M or self.expkM.dtype != x.dtype:
self.expkM = precompute_expk(M, dtype=x.dtype, device=x.device)
if self.expkN is None or self.expkN.size(-2) != N or self.expkN.dtype != x.dtype:
self.expkN = precompute_expk(N, dtype=x.dtype, device=x.device)
if self.out is None:
self.out = torch.empty(M, N, dtype=x.dtype, device=x.device)
self.buf = torch.empty(M, N // 2 + 1, 2, dtype=x.dtype, device=x.device)
return IDXST_IDCTFunction.apply(x, self.expkM, self.expkN, self.out, self.buf)
| 35.006579 | 92 | 0.615298 | 818 | 5,321 | 3.882641 | 0.0978 | 0.079345 | 0.083123 | 0.085642 | 0.847922 | 0.847922 | 0.82903 | 0.812028 | 0.812028 | 0.791877 | 0 | 0.019474 | 0.256907 | 5,321 | 151 | 93 | 35.238411 | 0.783763 | 0.02819 | 0 | 0.701754 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0.008772 | 0.061404 | 0 | 0.307018 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
718f018061f434c44140ed694a7513618bacb0c7 | 11,376 | py | Python | pingdomexport/tests/load/test_checks_results_load.py | mattboston/pingdomexport | 1cd7acbf813abee0b9a7865b9cd4a1e166d55c37 | [
"MIT"
] | 4 | 2018-01-25T09:18:38.000Z | 2021-02-12T18:36:08.000Z | pingdomexport/tests/load/test_checks_results_load.py | mattboston/pingdomexport | 1cd7acbf813abee0b9a7865b9cd4a1e166d55c37 | [
"MIT"
] | 1 | 2018-12-04T18:42:06.000Z | 2021-05-25T14:03:32.000Z | pingdomexport/tests/load/test_checks_results_load.py | mattboston/pingdomexport | 1cd7acbf813abee0b9a7865b9cd4a1e166d55c37 | [
"MIT"
] | 3 | 2019-04-30T11:52:14.000Z | 2021-03-24T20:58:04.000Z | from unittest.mock import MagicMock, Mock, call
from pingdomexport.load import checks_results_load
from pingdomexport import configuration
class TestLoad:
def test_output_load(self, capsys):
config = configuration.Load('output', {})
pingdom = Mock()
pingdom.check_results.side_effect = [
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376174
}
]
},
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376175
}
]
},
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376176
}
]
},
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376177
}
]
}
]
checks_results_load.Load(config, pingdom).load(
[
{
"id": 2057736,
"created": 1458372620
},
{
"id": 2057737,
"created": 1458372620
}
],
c_to=1458372620 + 3600 * 2
)
assert 4 == pingdom.check_results.call_count
out = capsys.readouterr()
assert len(out) == 2
assert 'Check ID,Time,Probe ID,Status,Status description,Status long description,Response time\r\n2057736,1458376174,50,up,OK,OK,582\r\n2057736,1458376175,50,up,OK,OK,582\r\n2057737,1458376176,50,up,OK,OK,582\r\n2057737,1458376177,50,up,OK,OK,582\r\n' == out[0]
assert '' == out[1]
def test_output_load_results(self, capsys):
config = configuration.Load('output', {})
pingdom = Mock()
pingdom.check_results = MagicMock(
return_value={
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376174
},
{
'statusdesclong': 'OK',
'responsetime': 1420,
'probeid': 34,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376114
}
]
}
)
checks_results_load.Load(config, pingdom).results(
{
"id": 2057736,
"created": 1458372620
},
c_to=1458372620 + 100
)
pingdom.check_results.assert_called_with(2057736, 1458372620, 1458372720)
out = capsys.readouterr()
assert len(out) == 2
assert '2057736,1458376174,50,up,OK,OK,582\r\n2057736,1458376114,34,up,OK,OK,1420\r\n' == out[0]
assert '' == out[1]
def test_output_load_results_with_from(self, capsys):
config = configuration.Load('output', {})
created = 1458372620
pingdom = Mock()
pingdom.check_results = MagicMock(return_value={"results": []})
checks_results_load.Load(config, pingdom).results(
{
"id": 2057736,
"created": created
},
created + 100,
created + 1000
)
pingdom.check_results.assert_called_with(2057736, created + 100, created + 1000)
def test_output_load_results_invalid_from(self):
config = configuration.Load('output', {})
created = 1458372620
pingdom = Mock()
pingdom.check_results = MagicMock(return_value={"results": []})
checks_results_load.Load(config, pingdom).results(
{
"id": 2057736,
"created": created
},
created - 100,
created + 1000
)
pingdom.check_results.assert_called_with(2057736, created, created + 1000)
def test_output_load_results_multi(self, capsys):
config = configuration.Load('output', {})
pingdom = Mock()
pingdom.check_results.side_effect = [
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376174
},
{
'statusdesclong': 'OK',
'responsetime': 682,
'probeid': 51,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376184
}
]
},
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 1420,
'probeid': 34,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376114
}
]
}
]
checks_results_load.Load(config, pingdom).results(
{
"id": 2057736,
"created": 1458372620
},
c_to=1458372620 + 3600 * 2
)
assert 2 == pingdom.check_results.call_count
out = capsys.readouterr()
assert len(out) == 2
assert '2057736,1458376174,50,up,OK,OK,582\r\n2057736,1458376184,51,up,OK,OK,682\r\n2057736,1458376114,34,up,OK,OK,1420\r\n' == out[0]
assert '' == out[1]
def test_mysql_load(self):
config = Mock()
db = Mock()
config.is_type_db.return_value = True
config.is_type_mysql.return_value = True
config.db_connection.return_value = db
pingdom = Mock()
pingdom.check_results.side_effect = [
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376174
}
]
},
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376175
}
]
},
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376176
}
]
},
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376177
}
]
}
]
checks_results_load.Load(config, pingdom).load(
[
{
"id": 2057736,
"created": 1458372620
},
{
"id": 2057737,
"created": 1458372620
}
],
c_to=1458372620 + 3600 * 2
)
assert 4 == db.query.call_count
def test_posgres_load(self):
config = Mock()
db = Mock()
query = Mock()
query.all.return_value = []
db.query.return_value = query
config.is_type_db.return_value = True
config.is_type_mysql.return_value = False
config.is_type_postgres.return_value = True
config.db_connection.return_value = db
pingdom = Mock()
pingdom.check_results.side_effect = [
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376174
}
]
},
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376175
}
]
},
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376176
}
]
},
{
"results": [
{
'statusdesclong': 'OK',
'responsetime': 582,
'probeid': 50,
'status': 'up',
'statusdesc': 'OK',
'time': 1458376177
}
]
}
]
checks_results_load.Load(config, pingdom).load(
[
{
"id": 2057736,
"created": 1458372620
},
{
"id": 2057737,
"created": 1458372620
}
],
c_to=1458372620 + 3600 * 2
)
assert 8 == db.query.call_count
| 32.135593 | 269 | 0.359265 | 736 | 11,376 | 5.425272 | 0.120924 | 0.068119 | 0.119209 | 0.085149 | 0.876033 | 0.870023 | 0.852742 | 0.814676 | 0.804408 | 0.799399 | 0 | 0.147706 | 0.536392 | 11,376 | 353 | 270 | 32.226629 | 0.609405 | 0 | 0 | 0.558209 | 0 | 0.008955 | 0.147328 | 0.030942 | 0 | 0 | 0 | 0 | 0.047761 | 1 | 0.020896 | false | 0 | 0.008955 | 0 | 0.032836 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
71a6e25e0dc16e1577c9120dafabe67596b28271 | 103 | py | Python | packages/gtmapi/lmsrvlabbook/api/__init__.py | jjwatts/gigantum-client | 88ce0475fb6880322bdd06d987c494e29064f278 | [
"MIT"
] | 60 | 2018-09-26T15:46:00.000Z | 2021-10-10T02:37:14.000Z | packages/gtmapi/lmsrvlabbook/api/__init__.py | jjwatts/gigantum-client | 88ce0475fb6880322bdd06d987c494e29064f278 | [
"MIT"
] | 1,706 | 2018-09-26T16:11:22.000Z | 2021-08-20T13:37:59.000Z | packages/gtmapi/lmsrvlabbook/api/__init__.py | jjwatts/gigantum-client | 88ce0475fb6880322bdd06d987c494e29064f278 | [
"MIT"
] | 11 | 2019-03-14T13:23:51.000Z | 2022-01-25T01:29:16.000Z | from lmsrvlabbook.api.query import LabbookQuery
from lmsrvlabbook.api.mutation import LabbookMutations
| 34.333333 | 54 | 0.883495 | 12 | 103 | 7.583333 | 0.666667 | 0.351648 | 0.417582 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07767 | 103 | 2 | 55 | 51.5 | 0.957895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
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