hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4a350541e53a4860842d8c22c293de549e943254
| 24,655
|
py
|
Python
|
test/geometry/subpix/test_spatial_softargmax.py
|
lferraz/kornia
|
c30ef6149bd92054d482339a2b0cd18f8272f5f5
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
test/geometry/subpix/test_spatial_softargmax.py
|
lferraz/kornia
|
c30ef6149bd92054d482339a2b0cd18f8272f5f5
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
test/geometry/subpix/test_spatial_softargmax.py
|
lferraz/kornia
|
c30ef6149bd92054d482339a2b0cd18f8272f5f5
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
import pytest
import torch
from torch.nn.functional import mse_loss
from torch.autograd import gradcheck
from torch.testing import assert_allclose
import kornia as kornia
import kornia.testing as utils # test utils
from kornia.geometry.subpix.spatial_soft_argmax import _get_center_kernel2d, _get_center_kernel3d
class TestCenterKernel2d:
def test_smoke(self, device, dtype):
kernel = _get_center_kernel2d(3, 4, device=device).to(dtype=dtype)
assert kernel.shape == (2, 2, 3, 4)
def test_odd(self, device, dtype):
kernel = _get_center_kernel2d(3, 3, device=device).to(dtype=dtype)
expected = torch.tensor([
[[[0., 0., 0.],
[0., 1., 0.],
[0., 0., 0.]],
[[0., 0., 0.],
[0., 0., 0.],
[0., 0., 0.]]],
[[[0., 0., 0.],
[0., 0., 0.],
[0., 0., 0.]],
[[0., 0., 0.],
[0., 1., 0.],
[0., 0., 0.]]]], device=device, dtype=dtype)
assert_allclose(kernel, expected, atol=1e-4, rtol=1e-4)
def test_even(self, device, dtype):
kernel = _get_center_kernel2d(2, 2, device=device).to(dtype=dtype)
expected = torch.ones(2, 2, 2, 2, device=device, dtype=dtype) * 0.25
expected[0, 1] = 0
expected[1, 0] = 0
assert_allclose(kernel, expected, atol=1e-4, rtol=1e-4)
class TestCenterKernel3d:
def test_smoke(self, device, dtype):
kernel = _get_center_kernel3d(6, 3, 4, device=device).to(dtype=dtype)
assert kernel.shape == (3, 3, 6, 3, 4)
def test_odd(self, device, dtype):
kernel = _get_center_kernel3d(3, 5, 7, device=device).to(dtype=dtype)
expected = torch.zeros(3, 3, 3, 5, 7, device=device, dtype=dtype)
expected[0, 0, 1, 2, 3] = 1.
expected[1, 1, 1, 2, 3] = 1.
expected[2, 2, 1, 2, 3] = 1.
assert_allclose(kernel, expected, atol=1e-4, rtol=1e-4)
def test_even(self, device, dtype):
kernel = _get_center_kernel3d(2, 4, 3, device=device).to(dtype=dtype)
expected = torch.zeros(3, 3, 2, 4, 3, device=device, dtype=dtype)
expected[0, 0, :, 1:3, 1] = 0.25
expected[1, 1, :, 1:3, 1] = 0.25
expected[2, 2, :, 1:3, 1] = 0.25
assert_allclose(kernel, expected, atol=1e-4, rtol=1e-4)
class TestSpatialSoftArgmax2d:
def test_smoke(self, device, dtype):
input = torch.zeros(1, 1, 2, 3, device=device, dtype=dtype)
m = kornia.SpatialSoftArgmax2d()
assert m(input).shape == (1, 1, 2)
def test_smoke_batch(self, device, dtype):
input = torch.zeros(2, 1, 2, 3, device=device, dtype=dtype)
m = kornia.SpatialSoftArgmax2d()
assert m(input).shape == (2, 1, 2)
def test_top_left_normalized(self, device, dtype):
input = torch.zeros(1, 1, 2, 3, device=device, dtype=dtype)
input[..., 0, 0] = 1e16
coord = kornia.spatial_soft_argmax2d(input, normalized_coordinates=True)
assert_allclose(coord[..., 0].item(), -1.0, atol=1e-4, rtol=1e-4)
assert_allclose(coord[..., 1].item(), -1.0, atol=1e-4, rtol=1e-4)
def test_top_left(self, device, dtype):
input = torch.zeros(1, 1, 2, 3, device=device, dtype=dtype)
input[..., 0, 0] = 1e16
coord = kornia.spatial_soft_argmax2d(input, normalized_coordinates=False)
assert_allclose(coord[..., 0].item(), 0.0, atol=1e-4, rtol=1e-4)
assert_allclose(coord[..., 1].item(), 0.0, atol=1e-4, rtol=1e-4)
def test_bottom_right_normalized(self, device, dtype):
input = torch.zeros(1, 1, 2, 3, device=device, dtype=dtype)
input[..., -1, -1] = 1e16
coord = kornia.spatial_soft_argmax2d(input, normalized_coordinates=True)
assert_allclose(coord[..., 0].item(), 1.0, atol=1e-4, rtol=1e-4)
assert_allclose(coord[..., 1].item(), 1.0, atol=1e-4, rtol=1e-4)
def test_bottom_right(self, device, dtype):
input = torch.zeros(1, 1, 2, 3, device=device, dtype=dtype)
input[..., -1, -1] = 1e16
coord = kornia.spatial_soft_argmax2d(input, normalized_coordinates=False)
assert_allclose(coord[..., 0].item(), 2.0, atol=1e-4, rtol=1e-4)
assert_allclose(coord[..., 1].item(), 1.0, atol=1e-4, rtol=1e-4)
def test_batch2_n2(self, device, dtype):
input = torch.zeros(2, 2, 2, 3, device=device, dtype=dtype)
input[0, 0, 0, 0] = 1e16 # top-left
input[0, 1, 0, -1] = 1e16 # top-right
input[1, 0, -1, 0] = 1e16 # bottom-left
input[1, 1, -1, -1] = 1e16 # bottom-right
coord = kornia.spatial_soft_argmax2d(input)
assert_allclose(coord[0, 0, 0].item(), -1.0, atol=1e-4, rtol=1e-4) # top-left
assert_allclose(coord[0, 0, 1].item(), -1.0, atol=1e-4, rtol=1e-4)
assert_allclose(coord[0, 1, 0].item(), 1.0, atol=1e-4, rtol=1e-4) # top-right
assert_allclose(coord[0, 1, 1].item(), -1.0, atol=1e-4, rtol=1e-4)
assert_allclose(coord[1, 0, 0].item(), -1.0, atol=1e-4, rtol=1e-4) # bottom-left
assert_allclose(coord[1, 0, 1].item(), 1.0, atol=1e-4, rtol=1e-4)
assert_allclose(coord[1, 1, 0].item(), 1.0, atol=1e-4, rtol=1e-4) # bottom-right
assert_allclose(coord[1, 1, 1].item(), 1.0, atol=1e-4, rtol=1e-4)
def test_gradcheck(self, device, dtype):
input = torch.rand(2, 3, 3, 2, device=device, dtype=dtype)
input = utils.tensor_to_gradcheck_var(input) # to var
assert gradcheck(kornia.spatial_soft_argmax2d,
(input), raise_exception=True)
def test_end_to_end(self, device, dtype):
input = torch.full((1, 2, 7, 7), 1.0, requires_grad=True, device=device, dtype=dtype)
target = torch.as_tensor([[[0.0, 0.0], [1.0, 1.0]]], device=device, dtype=dtype)
std = torch.tensor([1.0, 1.0], device=device, dtype=dtype)
hm = kornia.geometry.dsnt.spatial_softmax2d(input)
assert_allclose(
hm.sum(-1).sum(-1), torch.tensor([[1.0, 1.0]], device=device, dtype=dtype), atol=1e-4, rtol=1e-4)
pred = kornia.geometry.dsnt.spatial_expectation2d(hm)
assert_allclose(
pred, torch.as_tensor([[[0.0, 0.0], [0.0, 0.0]]], device=device, dtype=dtype), atol=1e-4, rtol=1e-4)
loss1 = mse_loss(pred, target, size_average=None, reduce=None,
reduction='none').mean(-1, keepdim=False)
expected_loss1 = torch.as_tensor([[0.0, 1.0]], device=device, dtype=dtype)
assert_allclose(loss1, expected_loss1, atol=1e-4, rtol=1e-4)
target_hm = kornia.geometry.dsnt.render_gaussian2d(
target, std, input.shape[-2:]).contiguous()
loss2 = kornia.losses.js_div_loss_2d(hm, target_hm, reduction='none')
expected_loss2 = torch.as_tensor([[0.0087, 0.0818]], device=device, dtype=dtype)
assert_allclose(loss2, expected_loss2, rtol=0, atol=1e-3)
loss = (loss1 + loss2).mean()
loss.backward()
def test_jit(self, device, dtype):
input = torch.rand((2, 3, 7, 7), dtype=dtype, device=device)
op = kornia.spatial_soft_argmax2d
op_jit = kornia.jit.spatial_soft_argmax2d
assert_allclose(op(input), op_jit(input), rtol=0, atol=1e-5)
def test_jit_trace(self, device, dtype):
input = torch.rand((2, 3, 7, 7), dtype=dtype, device=device)
op = kornia.spatial_soft_argmax2d
op_jit = torch.jit.trace(op, (input,))
assert_allclose(op(input), op_jit(input), rtol=0, atol=1e-5)
class TestConvSoftArgmax2d:
def test_smoke(self, device, dtype):
input = torch.zeros(1, 1, 3, 3, device=device, dtype=dtype)
m = kornia.ConvSoftArgmax2d((3, 3))
assert m(input).shape == (1, 1, 2, 3, 3)
def test_smoke_batch(self, device, dtype):
input = torch.zeros(2, 5, 3, 3, device=device, dtype=dtype)
m = kornia.ConvSoftArgmax2d()
assert m(input).shape == (2, 5, 2, 3, 3)
def test_smoke_with_val(self, device, dtype):
input = torch.zeros(1, 1, 3, 3, device=device, dtype=dtype)
m = kornia.ConvSoftArgmax2d((3, 3), output_value=True)
coords, val = m(input)
assert coords.shape == (1, 1, 2, 3, 3)
assert val.shape == (1, 1, 3, 3)
def test_smoke_batch_with_val(self, device, dtype):
input = torch.zeros(2, 5, 3, 3, device=device, dtype=dtype)
m = kornia.ConvSoftArgmax2d((3, 3), output_value=True)
coords, val = m(input)
assert coords.shape == (2, 5, 2, 3, 3)
assert val.shape == (2, 5, 3, 3)
def test_gradcheck(self, device, dtype):
input = torch.rand(2, 3, 5, 5, device=device, dtype=dtype)
input = utils.tensor_to_gradcheck_var(input) # to var
assert gradcheck(kornia.conv_soft_argmax2d,
(input), raise_exception=True)
def test_cold_diag(self, device, dtype):
input = torch.tensor([[[
[0., 0., 0., 0., 0.],
[0., 1., 0., 0., 0.],
[0., 0., 0., 0., 0.],
[0., 0., 0., 1., 0.],
[0., 0., 0., 0., 0.],
]]], device=device, dtype=dtype)
softargmax = kornia.ConvSoftArgmax2d((3, 3), (2, 2), (0, 0),
temperature=0.05,
normalized_coordinates=False,
output_value=True)
expected_val = torch.tensor([[[[1., 0.],
[0., 1.]]]], device=device, dtype=dtype)
expected_coord = torch.tensor([[[[[1., 3.],
[1., 3.]],
[[1., 1.],
[3., 3.]]]]], device=device, dtype=dtype)
coords, val = softargmax(input)
assert_allclose(val, expected_val, atol=1e-4, rtol=1e-4)
assert_allclose(coords, expected_coord, atol=1e-4, rtol=1e-4)
def test_hot_diag(self, device, dtype):
input = torch.tensor([[[
[0., 0., 0., 0., 0.],
[0., 1., 0., 0., 0.],
[0., 0., 0., 0., 0.],
[0., 0., 0., 1., 0.],
[0., 0., 0., 0., 0.],
]]], device=device, dtype=dtype)
softargmax = kornia.ConvSoftArgmax2d((3, 3), (2, 2), (0, 0),
temperature=10.,
normalized_coordinates=False,
output_value=True)
expected_val = torch.tensor([[[[0.1214, 0.],
[0., 0.1214]]]], device=device, dtype=dtype)
expected_coord = torch.tensor([[[[[1., 3.],
[1., 3.]],
[[1., 1.],
[3., 3.]]]]], device=device, dtype=dtype)
coords, val = softargmax(input)
assert_allclose(val, expected_val, atol=1e-4, rtol=1e-4)
assert_allclose(coords, expected_coord, atol=1e-4, rtol=1e-4)
def test_cold_diag_norm(self, device, dtype):
input = torch.tensor([[[
[0., 0., 0., 0., 0.],
[0., 1., 0., 0., 0.],
[0., 0., 0., 0., 0.],
[0., 0., 0., 1., 0.],
[0., 0., 0., 0., 0.],
]]], device=device, dtype=dtype)
softargmax = kornia.ConvSoftArgmax2d((3, 3), (2, 2), (0, 0),
temperature=0.05,
normalized_coordinates=True,
output_value=True)
expected_val = torch.tensor([[[[1., 0.],
[0., 1.]]]], device=device, dtype=dtype)
expected_coord = torch.tensor([[[[[-0.5, 0.5],
[-0.5, 0.5]],
[[-0.5, -0.5],
[0.5, 0.5]]]]], device=device, dtype=dtype)
coords, val = softargmax(input)
assert_allclose(val, expected_val, atol=1e-4, rtol=1e-4)
assert_allclose(coords, expected_coord, atol=1e-4, rtol=1e-4)
def test_hot_diag_norm(self, device, dtype):
input = torch.tensor([[[
[0., 0., 0., 0., 0.],
[0., 1., 0., 0., 0.],
[0., 0., 0., 0., 0.],
[0., 0., 0., 1., 0.],
[0., 0., 0., 0., 0.],
]]], device=device, dtype=dtype)
softargmax = kornia.ConvSoftArgmax2d((3, 3), (2, 2), (0, 0),
temperature=10.,
normalized_coordinates=True,
output_value=True)
expected_val = torch.tensor([[[[0.1214, 0.],
[0., 0.1214]]]], device=device, dtype=dtype)
expected_coord = torch.tensor([[[[[-0.5, 0.5],
[-0.5, 0.5]],
[[-0.5, -0.5],
[0.5, 0.5]]]]], device=device, dtype=dtype)
coords, val = softargmax(input)
assert_allclose(val, expected_val, atol=1e-4, rtol=1e-4)
assert_allclose(coords, expected_coord, atol=1e-4, rtol=1e-4)
class TestConvSoftArgmax3d:
def test_smoke(self, device, dtype):
input = torch.zeros(1, 1, 3, 3, 3, device=device, dtype=dtype)
m = kornia.ConvSoftArgmax3d((3, 3, 3), output_value=False)
assert m(input).shape == (1, 1, 3, 3, 3, 3)
def test_smoke_with_val(self, device, dtype):
input = torch.zeros(1, 1, 3, 3, 3, device=device, dtype=dtype)
m = kornia.ConvSoftArgmax3d((3, 3, 3), output_value=True)
coords, val = m(input)
assert coords.shape == (1, 1, 3, 3, 3, 3)
assert val.shape == (1, 1, 3, 3, 3)
def test_gradcheck(self, device, dtype):
input = torch.rand(1, 2, 3, 5, 5, device=device, dtype=dtype)
input = utils.tensor_to_gradcheck_var(input) # to var
assert gradcheck(kornia.conv_soft_argmax3d,
(input), raise_exception=True)
def test_cold_diag(self, device, dtype):
input = torch.tensor([[[[
[0., 0., 0., 0., 0.],
[0., 1., 0., 0., 0.],
[0., 0., 0., 0., 0.],
[0., 0., 0., 1., 0.],
[0., 0., 0., 0., 0.],
]]]], device=device, dtype=dtype)
softargmax = kornia.ConvSoftArgmax3d((1, 3, 3), (1, 2, 2), (0, 0, 0),
temperature=0.05,
normalized_coordinates=False,
output_value=True)
expected_val = torch.tensor([[[[[1., 0.],
[0., 1.]]]]], device=device, dtype=dtype)
expected_coord = torch.tensor([[[
[[[0., 0.],
[0., 0.]]],
[[[1., 3.],
[1., 3.]]],
[[[1., 1.],
[3., 3.]]]]]], device=device, dtype=dtype)
coords, val = softargmax(input)
assert_allclose(val, expected_val, atol=1e-4, rtol=1e-4)
assert_allclose(coords, expected_coord, atol=1e-4, rtol=1e-4)
def test_hot_diag(self, device, dtype):
input = torch.tensor([[[[
[0., 0., 0., 0., 0.],
[0., 1., 0., 0., 0.],
[0., 0., 0., 0., 0.],
[0., 0., 0., 1., 0.],
[0., 0., 0., 0., 0.],
]]]], device=device, dtype=dtype)
softargmax = kornia.ConvSoftArgmax3d((1, 3, 3), (1, 2, 2), (0, 0, 0),
temperature=10.,
normalized_coordinates=False,
output_value=True)
expected_val = torch.tensor([[[[[0.1214, 0.],
[0., 0.1214]]]]], device=device, dtype=dtype)
expected_coord = torch.tensor([[[
[[[0., 0.],
[0., 0.]]],
[[[1., 3.],
[1., 3.]]],
[[[1., 1.],
[3., 3.]]]]]], device=device, dtype=dtype)
coords, val = softargmax(input)
assert_allclose(val, expected_val, atol=1e-4, rtol=1e-4)
assert_allclose(coords, expected_coord, atol=1e-4, rtol=1e-4)
def test_cold_diag_norm(self, device, dtype):
input = torch.tensor([[[[
[0., 0., 0., 0., 0.],
[0., 1., 0., 0., 0.],
[0., 0., 0., 0., 0.],
[0., 0., 0., 1., 0.],
[0., 0., 0., 0., 0.],
]]]], device=device, dtype=dtype)
softargmax = kornia.ConvSoftArgmax3d((1, 3, 3), (1, 2, 2), (0, 0, 0),
temperature=0.05,
normalized_coordinates=True,
output_value=True)
expected_val = torch.tensor([[[[[1., 0.],
[0., 1.]]]]], device=device, dtype=dtype)
expected_coord = torch.tensor([[[
[[[-1., -1.],
[-1., -1.]]],
[[[-0.5, 0.5],
[-0.5, 0.5]]],
[[[-0.5, -0.5],
[0.5, 0.5]]]]]], device=device, dtype=dtype)
coords, val = softargmax(input)
assert_allclose(val, expected_val, atol=1e-4, rtol=1e-4)
assert_allclose(coords, expected_coord, atol=1e-4, rtol=1e-4)
def test_hot_diag_norm(self, device, dtype):
input = torch.tensor([[[[
[0., 0., 0., 0., 0.],
[0., 1., 0., 0., 0.],
[0., 0., 0., 0., 0.],
[0., 0., 0., 1., 0.],
[0., 0., 0., 0., 0.],
]]]], device=device, dtype=dtype)
softargmax = kornia.ConvSoftArgmax3d((1, 3, 3), (1, 2, 2), (0, 0, 0),
temperature=10.,
normalized_coordinates=True,
output_value=True)
expected_val = torch.tensor([[[[[0.1214, 0.],
[0., 0.1214]]]]], device=device, dtype=dtype)
expected_coord = torch.tensor([[[
[[[-1., -1.],
[-1., -1.]]],
[[[-0.5, 0.5],
[-0.5, 0.5]]],
[[[-0.5, -0.5],
[0.5, 0.5]]]]]], device=device, dtype=dtype)
coords, val = softargmax(input)
assert_allclose(val, expected_val, atol=1e-4, rtol=1e-4)
assert_allclose(coords, expected_coord, atol=1e-4, rtol=1e-4)
class TestConvQuadInterp3d:
def test_smoke(self, device, dtype):
input = torch.randn(2, 3, 3, 4, 4, device=device, dtype=dtype)
nms = kornia.geometry.ConvQuadInterp3d(1)
coord, val = nms(input)
assert coord.shape == (2, 3, 3, 3, 4, 4)
assert val.shape == (2, 3, 3, 4, 4)
def test_gradcheck(self, device, dtype):
input = torch.rand(1, 1, 3, 5, 5, device=device, dtype=dtype)
input[0, 0, 1, 2, 2] += 20.
input = utils.tensor_to_gradcheck_var(input) # to var
assert gradcheck(kornia.geometry.ConvQuadInterp3d(strict_maxima_bonus=0),
(input), raise_exception=True, atol=1e-3, rtol=1e-3)
def test_diag(self, device, dtype):
input = torch.tensor([[
[[0., 0., 0., 0, 0],
[0., 0., 0.0, 0, 0.],
[0., 0, 0., 0, 0.],
[0., 0., 0, 0, 0.],
[0., 0., 0., 0, 0.]],
[[0., 0., 0., 0, 0],
[0., 0., 1, 0, 0.],
[0., 1, 1.2, 1.1, 0.],
[0., 0., 1., 0, 0.],
[0., 0., 0., 0, 0.]],
[[0., 0., 0., 0, 0],
[0., 0., 0.0, 0, 0.],
[0., 0, 0., 0, 0.],
[0., 0., 0, 0, 0.],
[0., 0., 0., 0, 0.],
]]], device=device, dtype=dtype)
input = kornia.gaussian_blur2d(input, (5, 5), (0.5, 0.5)).unsqueeze(0)
softargmax = kornia.geometry.ConvQuadInterp3d(10)
expected_val = torch.tensor([[[
[[0., 0., 0., 0, 0],
[0., 0., 0.0, 0, 0.],
[0., 0, 0., 0, 0.],
[0., 0., 0, 0, 0.],
[0., 0., 0., 0, 0.]],
[[2.2504e-04, 2.3146e-02, 1.6808e-01, 2.3188e-02, 2.3628e-04],
[2.3146e-02, 1.8118e-01, 7.4338e-01, 1.8955e-01, 2.5413e-02],
[1.6807e-01, 7.4227e-01, 1.1086e+01, 8.0414e-01, 1.8482e-01],
[2.3146e-02, 1.8118e-01, 7.4338e-01, 1.8955e-01, 2.5413e-02],
[2.2504e-04, 2.3146e-02, 1.6808e-01, 2.3188e-02, 2.3628e-04]],
[[0., 0., 0., 0, 0],
[0., 0., 0.0, 0, 0.],
[0., 0, 0., 0, 0.],
[0., 0., 0, 0, 0.],
[0., 0., 0., 0, 0.]]]]], device=device, dtype=dtype)
expected_coord = torch.tensor([[[[[[0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0]],
[[1.0, 1.0, 1.0, 1.0, 1.0],
[1.0, 1.0, 1.0, 1.0, 1.0],
[1.0, 1.0, 1.0, 1.0, 1.0],
[1.0, 1.0, 1.0, 1.0, 1.0],
[1.0, 1.0, 1.0, 1.0, 1.0]],
[[2.0, 2.0, 2.0, 2.0, 2.0],
[2.0, 2.0, 2.0, 2.0, 2.0],
[2.0, 2.0, 2.0, 2.0, 2.0],
[2.0, 2.0, 2.0, 2.0, 2.0],
[2.0, 2.0, 2.0, 2.0, 2.0]]],
[[[0.0, 1.0, 2.0, 3.0, 4.0],
[0.0, 1.0, 2.0, 3.0, 4.0],
[0.0, 1.0, 2.0, 3.0, 4.0],
[0.0, 1.0, 2.0, 3.0, 4.0],
[0.0, 1.0, 2.0, 3.0, 4.0]],
[[0.0, 1.0, 2.0, 3.0, 4.0],
[0.0, 1.0, 2.0, 3.0, 4.0],
[0.0, 1.0, 2.0, 3.0, 4.0],
[0.0, 1.0, 2.0, 3.0, 4.0],
[0.0, 1.0, 2.0, 3.0, 4.0]],
[[0.0, 1.0, 2.0, 3.0, 4.0],
[0.0, 1.0, 2.0, 3.0, 4.0],
[0.0, 1.0, 2.0, 3.0, 4.0],
[0.0, 1.0, 2.0, 3.0, 4.0],
[0.0, 1.0, 2.0, 3.0, 4.0]]],
[[[0.0, 0.0, 0.0, 0.0, 0.0],
[1.0, 1.0, 1.0, 1.0, 1.0],
[2.0, 2.0, 2.0, 2.0, 2.0],
[3.0, 3.0, 3.0, 3.0, 3.0],
[4.0, 4.0, 4.0, 4.0, 4.0]],
[[0.0, 0.0, 0.0, 0.0, 0.0],
[1.0, 1.0, 1.0, 1.0, 1.0],
[2.0, 2.0, 2.0495, 2.0, 2.0],
[3.0, 3.0, 3.0, 3.0, 3.0],
[4.0, 4.0, 4.0, 4.0, 4.0]],
[[0.0, 0.0, 0.0, 0.0, 0.0],
[1.0, 1.0, 1.0, 1.0, 1.0],
[2.0, 2.0, 2.0, 2.0, 2.0],
[3.0, 3.0, 3.0, 3.0, 3.0],
[4.0, 4.0, 4.0, 4.0, 4.0]]]]]], device=device, dtype=dtype)
coords, val = softargmax(input)
assert_allclose(val, expected_val, atol=1e-4, rtol=1e-4)
assert_allclose(coords, expected_coord, atol=1e-4, rtol=1e-4)
| 47.141491
| 112
| 0.437234
| 3,242
| 24,655
| 3.243985
| 0.049969
| 0.09014
| 0.110963
| 0.122849
| 0.856233
| 0.831891
| 0.815632
| 0.79652
| 0.768185
| 0.752781
| 0
| 0.126922
| 0.388035
| 24,655
| 522
| 113
| 47.231801
| 0.570122
| 0.005111
| 0
| 0.692308
| 0
| 0
| 0.000326
| 0
| 0
| 0
| 0
| 0
| 0.140659
| 1
| 0.079121
| false
| 0
| 0.017582
| 0
| 0.10989
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
4a981cc07a82519d0f1b3462f59f3c4a95df0ccf
| 124
|
py
|
Python
|
blog/admin.py
|
Developer-R-7/CaffeineCode
|
1a489ef0da669dd6f7e5b1d80a3c6046e2e7b2fe
|
[
"MIT"
] | 1
|
2022-02-03T18:42:52.000Z
|
2022-02-03T18:42:52.000Z
|
blog/admin.py
|
Developer-R-7/CaffeineCode
|
1a489ef0da669dd6f7e5b1d80a3c6046e2e7b2fe
|
[
"MIT"
] | null | null | null |
blog/admin.py
|
Developer-R-7/CaffeineCode
|
1a489ef0da669dd6f7e5b1d80a3c6046e2e7b2fe
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import Category, Post
admin.site.register(Post)
admin.site.register(Category)
| 24.8
| 34
| 0.822581
| 18
| 124
| 5.666667
| 0.555556
| 0.176471
| 0.254902
| 0.411765
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08871
| 124
| 5
| 35
| 24.8
| 0.902655
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
434d66c624b5ccfb4ee901b6c0af7a5db1f24960
| 86
|
py
|
Python
|
util.py
|
midasvo/nec-bot
|
7a73e376675a8b6d616f8b42d8d996586b8af69a
|
[
"MIT"
] | null | null | null |
util.py
|
midasvo/nec-bot
|
7a73e376675a8b6d616f8b42d8d996586b8af69a
|
[
"MIT"
] | null | null | null |
util.py
|
midasvo/nec-bot
|
7a73e376675a8b6d616f8b42d8d996586b8af69a
|
[
"MIT"
] | null | null | null |
import random
def get_random_time(seed):
return random.uniform(1.0, 3.0) * seed
| 14.333333
| 42
| 0.709302
| 15
| 86
| 3.933333
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.056338
| 0.174419
| 86
| 5
| 43
| 17.2
| 0.774648
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 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
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 6
|
436f638b2712ca8b86377a0ff8795a6c643406af
| 353
|
py
|
Python
|
opennmt/models/__init__.py
|
mfomicheva/OpenNMT-tf
|
a367676a16f9e77f76bc58e138e78614eb4add1e
|
[
"MIT"
] | 4
|
2020-06-21T13:56:27.000Z
|
2021-05-07T06:03:35.000Z
|
opennmt/models/__init__.py
|
mfomicheva/OpenNMT-tf
|
a367676a16f9e77f76bc58e138e78614eb4add1e
|
[
"MIT"
] | 1
|
2020-06-22T23:38:33.000Z
|
2020-06-23T02:06:45.000Z
|
opennmt/models/__init__.py
|
mfomicheva/OpenNMT-tf
|
a367676a16f9e77f76bc58e138e78614eb4add1e
|
[
"MIT"
] | 2
|
2021-04-15T08:51:30.000Z
|
2022-03-08T07:44:32.000Z
|
"""Module defining models."""
from opennmt.models.language_model import LanguageModel
from opennmt.models.transformer import Transformer
from opennmt.models.sequence_to_sequence import SequenceToSequence, EmbeddingsSharingLevel
from opennmt.models.sequence_tagger import SequenceTagger
from opennmt.models.sequence_classifier import SequenceClassifier
| 44.125
| 90
| 0.878187
| 39
| 353
| 7.820513
| 0.461538
| 0.180328
| 0.278689
| 0.245902
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.070822
| 353
| 7
| 91
| 50.428571
| 0.929878
| 0.065156
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
601e8cdfb6d91f141a28f678f370ba72274c9ac7
| 3,761
|
py
|
Python
|
custom/intrahealth/tests/reports/test_fiche_consommation_report_v2.py
|
kkrampa/commcare-hq
|
d64d7cad98b240325ad669ccc7effb07721b4d44
|
[
"BSD-3-Clause"
] | 1
|
2020-05-05T13:10:01.000Z
|
2020-05-05T13:10:01.000Z
|
custom/intrahealth/tests/reports/test_fiche_consommation_report_v2.py
|
kkrampa/commcare-hq
|
d64d7cad98b240325ad669ccc7effb07721b4d44
|
[
"BSD-3-Clause"
] | 1
|
2019-12-09T14:00:14.000Z
|
2019-12-09T14:00:14.000Z
|
custom/intrahealth/tests/reports/test_fiche_consommation_report_v2.py
|
MaciejChoromanski/commcare-hq
|
fd7f65362d56d73b75a2c20d2afeabbc70876867
|
[
"BSD-3-Clause"
] | 5
|
2015-11-30T13:12:45.000Z
|
2019-07-01T19:27:07.000Z
|
# coding=utf-8
from __future__ import absolute_import
from __future__ import unicode_literals
import datetime
from mock.mock import MagicMock
from custom.intrahealth.tests.utils import YeksiTestCase
from custom.intrahealth.reports import FicheConsommationReport2
from dimagi.utils.dates import DateSpan
class TestFicheConsommationReport2(YeksiTestCase):
def test_fiche_consommation_report(self):
mock = MagicMock()
mock.couch_user = self.user
mock.GET = {
'startdate': '2014-06-01',
'enddate': '2014-07-31',
'location_id': '1991b4dfe166335e342f28134b85fcac',
}
mock.datespan = DateSpan(datetime.datetime(2014, 6, 1), datetime.datetime(2014, 7, 31))
fiche_consommation_report2_report = FicheConsommationReport2(request=mock, domain='test-pna')
fiche_consommation_report = fiche_consommation_report2_report.report_context['reports'][0]['report_table']
headers = fiche_consommation_report['headers'].as_export_table[0]
rows = fiche_consommation_report['rows']
self.assertEqual(
headers,
['', 'CU', ' ', ' ', 'DIU', ' ', ' ', 'Depo-Provera', ' ', ' ',
'Jadelle', ' ', ' ', 'Microgynon/Lof.', ' ', ' ', 'Microlut/Ovrette', ' ', ' ',
'Preservatif Feminin', ' ', ' ', 'Preservatif Masculin', ' ', ' ']
)
self.assertEqual(
rows,
[['LERANE COLY', 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0]]
)
def test_fiche_consommation_report_countrywide(self):
mock = MagicMock()
mock.couch_user = self.user
mock.GET = {
'startdate': '2014-06-01',
'enddate': '2014-07-31',
'location_id': '',
}
mock.datespan = DateSpan(datetime.datetime(2014, 6, 1), datetime.datetime(2014, 7, 31))
fiche_consommation_report2_report = FicheConsommationReport2(request=mock, domain='test-pna')
fiche_consommation_report = fiche_consommation_report2_report.report_context['reports'][0]['report_table']
headers = fiche_consommation_report['headers'].as_export_table[0]
rows = fiche_consommation_report['rows']
self.assertEqual(
headers,
['', 'CU', ' ', ' ', 'Collier', ' ', ' ', 'DIU', ' ', ' ', 'Depo-Provera', ' ', ' ',
'Jadelle', ' ', ' ', 'Microgynon/Lof.', ' ', ' ', 'Microlut/Ovrette', ' ', ' ',
'Preservatif Feminin', ' ', ' ', 'Preservatif Masculin', ' ', ' ']
)
self.assertEqual(
rows,
[
['DEBI TIQUET', 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0],
['DIOGO', 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0],
['LERANE COLY', 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0],
['NDIAWAR RICHARD TOLL', 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0,
1, 1, 0],
['NIANGUE DIAW', 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0],
['PS CAMP MILITAIRE', 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1,
1, 0],
['PS DIOKOUL WAGUE', 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1,
0],
['PS NGOR', 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0],
['PS PLLES ASS. UNITE 12', 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0,
1, 1, 0]
]
)
| 46.432099
| 114
| 0.504653
| 525
| 3,761
| 3.514286
| 0.175238
| 0.092141
| 0.138211
| 0.162602
| 0.762602
| 0.719241
| 0.719241
| 0.719241
| 0.719241
| 0.719241
| 0
| 0.139652
| 0.312683
| 3,761
| 80
| 115
| 47.0125
| 0.574081
| 0.003191
| 0
| 0.470588
| 0
| 0
| 0.150254
| 0.00854
| 0
| 0
| 0
| 0
| 0.058824
| 1
| 0.029412
| false
| 0
| 0.102941
| 0
| 0.147059
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
60547cc67cd7474bffa6836260e8ca26c0c87936
| 15,104
|
py
|
Python
|
tests/python/unit/test_timeseries_preparation.py
|
dataiku/dss-plugin-timeseries-preparation
|
bdb662c909a0ad6d7845325a70e3dac2bdcc6b28
|
[
"Apache-2.0"
] | 2
|
2021-03-12T10:48:20.000Z
|
2021-04-23T09:37:18.000Z
|
tests/python/unit/test_timeseries_preparation.py
|
dataiku/dss-plugin-timeseries-preparation
|
bdb662c909a0ad6d7845325a70e3dac2bdcc6b28
|
[
"Apache-2.0"
] | 27
|
2020-07-22T15:49:25.000Z
|
2021-06-18T09:40:48.000Z
|
tests/python/unit/test_timeseries_preparation.py
|
dataiku/dss-plugin-timeseries-preparation
|
bdb662c909a0ad6d7845325a70e3dac2bdcc6b28
|
[
"Apache-2.0"
] | 1
|
2021-06-01T12:49:53.000Z
|
2021-06-01T12:49:53.000Z
|
import sys
import numpy as np
import pandas as pd
import pytest
if sys.version_info >= (3, 0):
from dku_config.stl_config import DecompositionConfig
from timeseries_preparation.preparation import TimeseriesPreparator
@pytest.fixture
def time_column_name():
return "date"
@pytest.fixture
def timeseries_identifiers_names():
return ["id"]
@pytest.fixture
def basic_config(time_column_name):
config = {"transformation_type": "seasonal_decomposition", "time_decomposition_method": "STL",
"frequency_unit": "M", "season_length_M": 12, "time_column": time_column_name, "target_columns": ["target"],
"long_format": False, "decomposition_model": "multiplicative", "expert": False}
return config
@pytest.fixture
def dku_config(basic_config,time_column_name):
dku_config = DecompositionConfig()
dku_config.add_parameters(basic_config, [time_column_name, "target", 'value1'])
return dku_config
@pytest.mark.skipif(sys.version_info < (3, 0), reason="requires Python3")
class TestTimeseriesPreparation:
def test_duplicate_dates(self, time_column_name, timeseries_identifiers_names, basic_config):
df = pd.DataFrame(
{
"date": [
"2021-01-01 12:12:00",
"2021-01-01 17:35:00",
"2021-01-02 14:55:00",
],
"id": [1, 1, 1],
"target": [1, 2, 3]
}
)
dku_config = DecompositionConfig()
basic_config["frequency"] = "D"
dku_config.add_parameters(basic_config, list(df.columns))
df[time_column_name] = pd.to_datetime(df[time_column_name]).dt.tz_localize(tz=None)
preparator = TimeseriesPreparator(dku_config)
with pytest.raises(ValueError):
_ = preparator._truncate_dates(df)
def test_minutes_truncation(self, time_column_name, basic_config):
df = pd.DataFrame(
{
"date": [
"2021-01-01 12:17:42",
"2021-01-01 12:30:00",
"2021-01-01 12:46:00",
],
"id": [1, 1, 1],
"target": [1, 2, 3]
}
)
dku_config = DecompositionConfig()
basic_config["frequency_step_minutes"] = "15"
basic_config["frequency_unit"] = "min"
basic_config["season_length_min"] = 4
dku_config.add_parameters(basic_config, list(df.columns))
df[time_column_name] = pd.to_datetime(df[time_column_name]).dt.tz_localize(tz=None)
preparator = TimeseriesPreparator(dku_config)
dataframe_prepared = preparator._truncate_dates(df)
dataframe_prepared = preparator._sort(dataframe_prepared)
preparator._check_regular_frequency(dataframe_prepared)
assert dataframe_prepared[time_column_name][0] == pd.Timestamp("2021-01-01 12:15:00")
assert dataframe_prepared[time_column_name][2] == pd.Timestamp("2021-01-01 12:45:00")
def test_hour_truncation(self, time_column_name, timeseries_identifiers_names, basic_config):
df = pd.DataFrame(
{
"date": [
"2020-01-07 12:12:00",
"2020-01-07 17:35:00",
"2020-01-07 14:55:00",
"2020-01-07 18:06:00",
"2020-01-08 04:40:00",
"2020-01-08 06:13:00",
"2020-01-08 03:23:00",
],
"id": [1, 1, 1, 1, 2, 2, 2],
"target": [1, 2, 3, 4, 5, 6, 7]
}
)
df[time_column_name] = pd.to_datetime(df[time_column_name]).dt.tz_localize(tz=None)
dku_config = DecompositionConfig()
basic_config["frequency_step_hours"] = "2"
basic_config["frequency_unit"] = "H"
basic_config["season_length_H"] = 12
basic_config["long_format"] = True
basic_config["timeseries_identifiers"] = timeseries_identifiers_names
dku_config.add_parameters(basic_config, list(df.columns))
preparator = TimeseriesPreparator(dku_config, max_timeseries_length=2)
dataframe_prepared = preparator._truncate_dates(df)
dataframe_prepared = preparator._sort(dataframe_prepared)
preparator._check_regular_frequency(dataframe_prepared)
dataframe_prepared = preparator._keep_last_dates(dataframe_prepared)
assert dataframe_prepared[time_column_name][0] == pd.Timestamp("2020-01-07 16:00:00")
assert dataframe_prepared[time_column_name][3] == pd.Timestamp("2020-01-08 06:00:00")
def test_day_truncation(self, time_column_name, timeseries_identifiers_names, basic_config):
df = pd.DataFrame(
{
"date": [
"2021-01-01 12:17:42",
"2021-01-02 00:00:00",
"2021-01-03 12:46:00",
],
"id": [1, 1, 1],
"target": [1, 2, 3]
}
)
dku_config = DecompositionConfig()
basic_config["frequency_unit"] = "D"
basic_config["season_length_D"] = 12
basic_config["long_format"] = True
basic_config["timeseries_identifiers"] = timeseries_identifiers_names
dku_config.add_parameters(basic_config, list(df.columns))
preparator = TimeseriesPreparator(dku_config)
df[time_column_name] = pd.to_datetime(df[time_column_name]).dt.tz_localize(tz=None)
dataframe_prepared = preparator._truncate_dates(df)
dataframe_prepared = preparator._sort(dataframe_prepared)
preparator._check_regular_frequency(dataframe_prepared)
assert dataframe_prepared[time_column_name][0] == pd.Timestamp("2021-01-01")
assert dataframe_prepared[time_column_name][2] == pd.Timestamp("2021-01-03")
def test_business_day_truncation(self, time_column_name, timeseries_identifiers_names, basic_config):
df = pd.DataFrame(
{
"date": [
"2021-01-04 12:17:42",
"2021-01-05 00:00:00",
"2021-01-06 12:46:00",
],
"id": [1, 1, 1],
"target": [1, 2, 3]
}
)
dku_config = DecompositionConfig()
basic_config["frequency_unit"] = "B"
basic_config["season_length_B"] = 5
basic_config["long_format"] = True
basic_config["timeseries_identifiers"] = timeseries_identifiers_names
dku_config.add_parameters(basic_config, list(df.columns))
preparator = TimeseriesPreparator(dku_config)
df[time_column_name] = pd.to_datetime(df[time_column_name]).dt.tz_localize(tz=None)
dataframe_prepared = preparator._truncate_dates(df)
dataframe_prepared = preparator._sort(dataframe_prepared)
preparator._check_regular_frequency(dataframe_prepared)
assert dataframe_prepared[time_column_name][0] == pd.Timestamp("2021-01-04")
assert dataframe_prepared[time_column_name][2] == pd.Timestamp("2021-01-06")
def test_week_sunday_truncation(self, time_column_name, timeseries_identifiers_names, basic_config):
df = pd.DataFrame(
{
"date": [
"2021-01-03 12:12:00",
"2021-01-05 17:35:00",
"2021-01-15 14:55:00",
],
"id": [1, 1, 1],
"target": [1, 2, 3]
}
)
dku_config = DecompositionConfig()
basic_config["frequency_unit"] = "W"
basic_config["frequency_end_of_week"] = "SUN"
basic_config["season_length_W"] = 7
basic_config["long_format"] = True
basic_config["timeseries_identifiers"] = timeseries_identifiers_names
dku_config.add_parameters(basic_config, list(df.columns))
preparator = TimeseriesPreparator(dku_config, max_timeseries_length=2)
df[time_column_name] = pd.to_datetime(df[time_column_name]).dt.tz_localize(tz=None)
dataframe_prepared = preparator._truncate_dates(df)
dataframe_prepared = preparator._sort(dataframe_prepared)
preparator._check_regular_frequency(dataframe_prepared)
dataframe_prepared = preparator._keep_last_dates(dataframe_prepared)
assert dataframe_prepared[time_column_name][0] == pd.Timestamp("2021-01-10")
assert dataframe_prepared[time_column_name][1] == pd.Timestamp("2021-01-17")
def test_quarter_truncation(self, time_column_name, timeseries_identifiers_names, basic_config):
df = pd.DataFrame(
{
"date": [
"2020-12-15",
"2021-03-28",
"2021-06-11",
],
"id": [1, 1, 1],
"target": [1, 2, 3]
}
)
dku_config = DecompositionConfig()
basic_config["frequency_unit"] = "3M"
basic_config["season_length_3M"] = 4
basic_config["long_format"] = True
basic_config["timeseries_identifiers"] = timeseries_identifiers_names
dku_config.add_parameters(basic_config, list(df.columns))
preparator = TimeseriesPreparator(dku_config)
df[time_column_name] = pd.to_datetime(df[time_column_name]).dt.tz_localize(tz=None)
dataframe_prepared = preparator._truncate_dates(df)
dataframe_prepared = preparator._sort(dataframe_prepared)
preparator._check_regular_frequency(dataframe_prepared)
assert dataframe_prepared[time_column_name][0] == pd.Timestamp("2020-12-31")
assert dataframe_prepared[time_column_name][2] == pd.Timestamp("2021-06-30")
def test_semester_truncation(self, time_column_name, timeseries_identifiers_names, basic_config):
df = pd.DataFrame(
{
"date": [
"2020-12-15",
"2021-06-28",
"2021-12-01",
],
"id": [1, 1, 1],
"target": [1, 2, 3]
}
)
dku_config = DecompositionConfig()
basic_config["frequency_unit"] = "6M"
basic_config["long_format"] = True
basic_config["season_length_6M"] = 2
basic_config["timeseries_identifiers"] = timeseries_identifiers_names
dku_config.add_parameters(basic_config, list(df.columns))
preparator = TimeseriesPreparator(dku_config)
df[time_column_name] = pd.to_datetime(df[time_column_name]).dt.tz_localize(tz=None)
dataframe_prepared = preparator._truncate_dates(df)
dataframe_prepared = preparator._sort(dataframe_prepared)
preparator._check_regular_frequency(dataframe_prepared)
assert dataframe_prepared[time_column_name][0] == pd.Timestamp("2020-12-31")
assert dataframe_prepared[time_column_name][1] == pd.Timestamp("2021-06-30")
assert dataframe_prepared[time_column_name][2] == pd.Timestamp("2021-12-31")
def test_year_truncation(self, time_column_name, timeseries_identifiers_names, basic_config):
df = pd.DataFrame(
{
"date": [
"2020-12-31",
"2021-12-15",
"2022-12-01",
],
"id": [1, 1, 1],
"target": [1, 2, 3]
}
)
dku_config = DecompositionConfig()
basic_config["frequency_unit"] = "12M"
basic_config["season_length_12M"] = 4
basic_config["long_format"] = True
basic_config["timeseries_identifiers"] = timeseries_identifiers_names
basic_config["season_length_12M"] = 4
dku_config.add_parameters(basic_config, list(df.columns))
preparator = TimeseriesPreparator(dku_config)
df[time_column_name] = pd.to_datetime(df[time_column_name]).dt.tz_localize(tz=None)
dataframe_prepared = preparator._truncate_dates(df)
dataframe_prepared = preparator._sort(dataframe_prepared)
preparator._check_regular_frequency(dataframe_prepared)
assert dataframe_prepared[time_column_name][0] == pd.Timestamp("2020-12-31")
assert dataframe_prepared[time_column_name][1] == pd.Timestamp("2021-12-31")
assert dataframe_prepared[time_column_name][2] == pd.Timestamp("2022-12-31")
def test_target_column_preparation(self, time_column_name, timeseries_identifiers_names, basic_config):
df = pd.DataFrame(
{
"date": [
"2020-12-31",
"2021-12-15",
"2022-12-01",
],
"id": [1, 1, 1],
"target": [1, 2, 3],
"invalid_target": ["a", "b", "c"],
"missing_target": [1, np.nan, 2],
"unformatted_target": ["1", "2", "3"]
}
)
dku_config = DecompositionConfig()
basic_config["target_columns"] = ["target"]
basic_config["frequency_unit"] = "12M"
basic_config["season_length_12M"] = 4
dku_config.add_parameters(basic_config, list(df.columns))
preparator = TimeseriesPreparator(dku_config)
df_prepared = preparator.prepare_timeseries_dataframe(df)
assert df_prepared.loc[0, "target"] == 1
dku_config = DecompositionConfig()
basic_config["target_columns"] = ["unformatted_target"]
basic_config["frequency_unit"] = "12M"
basic_config["season_length_12M"] = 4
dku_config.add_parameters(basic_config, list(df.columns))
preparator = TimeseriesPreparator(dku_config)
df_prepared_unformatted = preparator.prepare_timeseries_dataframe(df)
assert df_prepared_unformatted.loc[0, "unformatted_target"] == 1
dku_config = DecompositionConfig()
basic_config["target_columns"] = ["invalid_target"]
basic_config["frequency_unit"] = "12M"
basic_config["season_length_12M"] = 4
dku_config.add_parameters(basic_config, list(df.columns))
preparator = TimeseriesPreparator(dku_config)
with pytest.raises(ValueError) as err:
_ = preparator.prepare_timeseries_dataframe(df)
assert "must be numeric" in str(err.value)
dku_config = DecompositionConfig()
basic_config["target_columns"] = ["missing_target"]
basic_config["frequency_unit"] = "12M"
basic_config["season_length_12M"] = 4
dku_config.add_parameters(basic_config, list(df.columns))
preparator = TimeseriesPreparator(dku_config)
with pytest.raises(ValueError) as err:
_ = preparator.prepare_timeseries_dataframe(df)
assert "missing value" in str(err.value)
def test_empty_input_dataset(self, dku_config, time_column_name):
empty_df = pd.DataFrame(columns=["value1", "target", time_column_name])
timeseries_preparator = TimeseriesPreparator(dku_config)
with pytest.raises(ValueError) as err:
_ = timeseries_preparator.prepare_timeseries_dataframe(empty_df)
assert "empty" in str(err.value)
| 44.163743
| 122
| 0.620299
| 1,708
| 15,104
| 5.169204
| 0.09719
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| 0.786726
| 0.782308
| 0.759882
| 0.744705
| 0.725903
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| 0.266684
| 15,104
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| 123
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0
| 6
|
606b0de794fee90fcd4b1e167240168ef0ca2868
| 7,386
|
py
|
Python
|
datasets/datasets.py
|
wjun0830/Out-of-Distribution-Baseline
|
33ffc8c719dcd1705fca1f53cce977e9d18b56bb
|
[
"MIT"
] | null | null | null |
datasets/datasets.py
|
wjun0830/Out-of-Distribution-Baseline
|
33ffc8c719dcd1705fca1f53cce977e9d18b56bb
|
[
"MIT"
] | null | null | null |
datasets/datasets.py
|
wjun0830/Out-of-Distribution-Baseline
|
33ffc8c719dcd1705fca1f53cce977e9d18b56bb
|
[
"MIT"
] | 1
|
2021-12-08T02:38:17.000Z
|
2021-12-08T02:38:17.000Z
|
import os
import torch
import torchvision
from torch.utils.data import DataLoader
from torchvision.datasets import ImageFolder
from torch.nn import functional as F
import torchvision.transforms as transforms
from torchvision.datasets import MNIST, KMNIST
# import transform_layers as TL
import numpy as np
from PIL import Image
# from fft_utils import mkdir_if_missing
class MNISTRGB(MNIST):
"""MNIST Dataset.
"""
def __getitem__(self, index):
img, target = self.data[index], int(self.targets[index])
img = Image.fromarray(img.numpy(), mode='L')
img = img.convert("RGB")
if self.transform is not None:
img = self.transform(img)
if self.target_transform is not None:
target = self.target_transform(target)
return img, target
class KMNISTRGB(KMNIST):
"""KMNIST Dataset.
"""
def __getitem__(self, index):
img, target = self.data[index], int(self.targets[index])
img = Image.fromarray(img.numpy(), mode='L')
img = img.convert("RGB")
if self.transform is not None:
img = self.transform(img)
if self.target_transform is not None:
target = self.target_transform(target)
return img, target
class MNIST(object):
def __init__(self, **options):
transform = transforms.Compose([
transforms.Resize(32),
transforms.ToTensor(),
])
batch_size = options['batch_size']
data_root = os.path.join(options['dataroot'], 'mnist')
pin_memory = True if options['use_gpu'] else False
trainset = MNISTRGB(root=data_root, train=True, download=True, transform=transform)
trainloader = torch.utils.data.DataLoader(
trainset, batch_size=batch_size, shuffle=True,
num_workers=options['workers'], pin_memory=pin_memory,
)
testset = MNISTRGB(root=data_root, train=False, download=True, transform=transform)
testloader = torch.utils.data.DataLoader(
testset, batch_size=batch_size, shuffle=False,
num_workers=options['workers'], pin_memory=pin_memory,
)
self.trainloader = trainloader
self.testloader = testloader
self.num_classes = 10
class KMNIST(object):
def __init__(self, **options):
transform = transforms.Compose([
transforms.Resize(32),
transforms.ToTensor(),
])
batch_size = options['batch_size']
data_root = os.path.join(options['dataroot'], 'kmnist')
pin_memory = True if options['use_gpu'] else False
trainset = KMNISTRGB(root=data_root, train=True, download=True, transform=transform)
trainloader = torch.utils.data.DataLoader(
trainset, batch_size=batch_size, shuffle=True,
num_workers=options['workers'], pin_memory=pin_memory,
)
testset = KMNISTRGB(root=data_root, train=False, download=True, transform=transform)
testloader = torch.utils.data.DataLoader(
testset, batch_size=batch_size, shuffle=False,
num_workers=options['workers'], pin_memory=pin_memory,
)
self.trainloader = trainloader
self.testloader = testloader
self.num_classes = 10
class CIFAR10(object):
def __init__(self, **options):
transform_train = transforms.Compose([
transforms.RandomCrop(32, padding=4),
transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
# TL.Shifting()
])
transform = transforms.Compose([
transforms.ToTensor(),
])
batch_size = options['batch_size']
data_root = os.path.join(options['dataroot'], 'cifar10')
pin_memory = True if options['use_gpu'] else False
trainset = torchvision.datasets.CIFAR10(root=data_root, train=True, download=True, transform=transform_train)
trainloader = torch.utils.data.DataLoader(
trainset, batch_size=batch_size, shuffle=True,
num_workers=options['workers'], pin_memory=pin_memory,
)
testset = torchvision.datasets.CIFAR10(root=data_root, train=False, download=True, transform=transform)
testloader = torch.utils.data.DataLoader(
testset, batch_size=batch_size, shuffle=False,
num_workers=options['workers'], pin_memory=pin_memory,
)
self.num_classes = 10
self.trainloader = trainloader
self.testloader = testloader
class CIFAR100(object):
def __init__(self, **options):
transform_train = transforms.Compose([
transforms.RandomCrop(32, padding=4),
transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
])
transform = transforms.Compose([
transforms.ToTensor(),
])
batch_size = options['batch_size']
data_root = os.path.join(options['dataroot'], 'cifar100')
pin_memory = True if options['use_gpu'] else False
trainset = torchvision.datasets.CIFAR100(root=data_root, train=True, download=True, transform=transform_train)
trainloader = torch.utils.data.DataLoader(
trainset, batch_size=batch_size, shuffle=True,
num_workers=options['workers'], pin_memory=pin_memory,
)
testset = torchvision.datasets.CIFAR100(root=data_root, train=False, download=True, transform=transform)
testloader = torch.utils.data.DataLoader(
testset, batch_size=batch_size, shuffle=False,
num_workers=options['workers'], pin_memory=pin_memory,
)
self.num_classes = 100
self.trainloader = trainloader
self.testloader = testloader
class SVHN(object):
def __init__(self, **options):
transform_train = transforms.Compose([
transforms.RandomCrop(32, padding=4),
transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
])
transform = transforms.Compose([
transforms.ToTensor(),
])
batch_size = options['batch_size']
data_root = os.path.join(options['dataroot'], 'svhn')
pin_memory = True if options['use_gpu'] else False
trainset = torchvision.datasets.SVHN(root=data_root, split='train', download=True, transform=transform_train)
trainloader = torch.utils.data.DataLoader(
trainset, batch_size=batch_size, shuffle=True,
num_workers=options['workers'], pin_memory=pin_memory,
)
testset = torchvision.datasets.SVHN(root=data_root, split='test', download=True, transform=transform)
testloader = torch.utils.data.DataLoader(
testset, batch_size=batch_size, shuffle=False,
num_workers=options['workers'], pin_memory=pin_memory,
)
self.num_classes = 10
self.trainloader = trainloader
self.testloader = testloader
__factory = {
'mnist': MNIST,
'kmnist': KMNIST,
'cifar10': CIFAR10,
'cifar100': CIFAR100,
'svhn':SVHN,
}
def create(name, **options):
if name not in __factory.keys():
raise KeyError("Unknown dataset: {}".format(name))
return __factory[name](**options)
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| 118
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0
| 6
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607154e37f1a0a0e95a307253f2e7dc3c332fc20
| 3,521
|
py
|
Python
|
tests/integration/test_distributed_format/test.py
|
mikhno-s/ClickHouse
|
83e95cd0120da00a60506fcf2f4d23d908c45977
|
[
"Apache-2.0"
] | 2
|
2021-03-25T06:53:00.000Z
|
2021-04-29T07:32:51.000Z
|
tests/integration/test_distributed_format/test.py
|
mikhno-s/ClickHouse
|
83e95cd0120da00a60506fcf2f4d23d908c45977
|
[
"Apache-2.0"
] | 1
|
2020-03-26T01:50:51.000Z
|
2020-03-26T01:50:51.000Z
|
tests/integration/test_distributed_format/test.py
|
mikhno-s/ClickHouse
|
83e95cd0120da00a60506fcf2f4d23d908c45977
|
[
"Apache-2.0"
] | null | null | null |
import pytest
from helpers.cluster import ClickHouseCluster
cluster = ClickHouseCluster(__file__)
node = cluster.add_instance('node', main_configs=['configs/remote_servers.xml'])
cluster_param = pytest.mark.parametrize("cluster", [
('test_cluster'),
('test_cluster_2'),
])
@pytest.fixture(scope="module")
def started_cluster():
try:
cluster.start()
node.query("create database test")
yield cluster
finally:
cluster.shutdown()
@cluster_param
def test_single_file(started_cluster, cluster):
node.query(
"create table test.distr_1 (x UInt64, s String) engine = Distributed('{}', database, table)".format(cluster))
node.query("insert into test.distr_1 values (1, 'a'), (2, 'bb'), (3, 'ccc')",
settings={"use_compact_format_in_distributed_parts_names": "1"})
query = "select * from file('/var/lib/clickhouse/data/test/distr_1/shard1_replica1/1.bin', 'Distributed')"
out = node.exec_in_container(['/usr/bin/clickhouse', 'local', '--stacktrace', '-q', query])
assert out == '1\ta\n2\tbb\n3\tccc\n'
query = "create table t (x UInt64, s String) engine = File('Distributed', '/var/lib/clickhouse/data/test/distr_1/shard1_replica1/1.bin');" \
"select * from t"
out = node.exec_in_container(['/usr/bin/clickhouse', 'local', '--stacktrace', '-q', query])
assert out == '1\ta\n2\tbb\n3\tccc\n'
node.query("drop table test.distr_1")
@cluster_param
def test_two_files(started_cluster, cluster):
node.query(
"create table test.distr_2 (x UInt64, s String) engine = Distributed('{}', database, table)".format(cluster))
node.query("insert into test.distr_2 values (0, '_'), (1, 'a')",
settings={"use_compact_format_in_distributed_parts_names": "1"})
node.query("insert into test.distr_2 values (2, 'bb'), (3, 'ccc')",
settings={"use_compact_format_in_distributed_parts_names": "1"})
query = "select * from file('/var/lib/clickhouse/data/test/distr_2/shard1_replica1/{1,2,3,4}.bin', 'Distributed') order by x"
out = node.exec_in_container(['/usr/bin/clickhouse', 'local', '--stacktrace', '-q', query])
assert out == '0\t_\n1\ta\n2\tbb\n3\tccc\n'
query = "create table t (x UInt64, s String) engine = File('Distributed', '/var/lib/clickhouse/data/test/distr_2/shard1_replica1/{1,2,3,4}.bin');" \
"select * from t order by x"
out = node.exec_in_container(['/usr/bin/clickhouse', 'local', '--stacktrace', '-q', query])
assert out == '0\t_\n1\ta\n2\tbb\n3\tccc\n'
node.query("drop table test.distr_2")
@cluster_param
def test_single_file_old(started_cluster, cluster):
node.query(
"create table test.distr_3 (x UInt64, s String) engine = Distributed('{}', database, table)".format(cluster))
node.query("insert into test.distr_3 values (1, 'a'), (2, 'bb'), (3, 'ccc')")
query = "select * from file('/var/lib/clickhouse/data/test/distr_3/default@not_existing:9000/1.bin', 'Distributed')"
out = node.exec_in_container(['/usr/bin/clickhouse', 'local', '--stacktrace', '-q', query])
assert out == '1\ta\n2\tbb\n3\tccc\n'
query = "create table t (x UInt64, s String) engine = File('Distributed', '/var/lib/clickhouse/data/test/distr_3/default@not_existing:9000/1.bin');" \
"select * from t"
out = node.exec_in_container(['/usr/bin/clickhouse', 'local', '--stacktrace', '-q', query])
assert out == '1\ta\n2\tbb\n3\tccc\n'
node.query("drop table test.distr_3")
| 40.471264
| 154
| 0.658336
| 499
| 3,521
| 4.48497
| 0.186373
| 0.064343
| 0.042895
| 0.037534
| 0.828418
| 0.828418
| 0.802502
| 0.792225
| 0.773458
| 0.684987
| 0
| 0.030529
| 0.162738
| 3,521
| 86
| 155
| 40.94186
| 0.72863
| 0
| 0
| 0.389831
| 0
| 0.135593
| 0.549844
| 0.205907
| 0
| 0
| 0
| 0
| 0.101695
| 1
| 0.067797
| false
| 0
| 0.033898
| 0
| 0.101695
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
60744146a7c4403f2b2a8eee0e9a0e56d2b12f25
| 26,503
|
py
|
Python
|
test/recon/test_utils.py
|
DobromirM/swim-system-python
|
a5b4f05457f1eb2739a920c42dfc721c83a1226a
|
[
"Apache-2.0"
] | 8
|
2019-11-11T19:38:59.000Z
|
2022-01-06T11:13:04.000Z
|
test/recon/test_utils.py
|
swimos/swim-system-python
|
727c09b6e7300b063e320364373ff724d9b8af90
|
[
"Apache-2.0"
] | 40
|
2019-10-29T10:35:49.000Z
|
2021-05-14T22:18:35.000Z
|
test/recon/test_utils.py
|
DobromirM/swim-system-python
|
a5b4f05457f1eb2739a920c42dfc721c83a1226a
|
[
"Apache-2.0"
] | 3
|
2020-01-31T18:28:58.000Z
|
2021-08-25T08:53:13.000Z
|
# Copyright 2015-2021 SWIM.AI inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
from swimai.recon._parsers import _ReconUtils, _OutputMessage, _InputMessage
from test.utils import CustomString
class TestUtils(unittest.TestCase):
def test_is_valid_ident_start_char_A(self):
# Given
character = 'A'
# When
actual = _ReconUtils._is_ident_start_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_start_char_Z(self):
# Given
character = 'Z'
# When
actual = _ReconUtils._is_ident_start_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_start_char_P(self):
# Given
character = 'P'
# When
actual = _ReconUtils._is_ident_start_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_start_char_a(self):
# Given
character = 'a'
# When
actual = _ReconUtils._is_ident_start_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_start_char_z(self):
# Given
character = 'z'
# When
actual = _ReconUtils._is_ident_start_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_start_char_h(self):
# Given
character = 'h'
# When
actual = _ReconUtils._is_ident_start_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_start_char_underscore(self):
# Given
character = '_'
# When
actual = _ReconUtils._is_ident_start_char(character)
# Then
self.assertTrue(actual)
def test_is_invalid_ident_start_char_digit(self):
# Given
character = '4'
# When
actual = _ReconUtils._is_ident_start_char(character)
# Then
self.assertFalse(actual)
def test_is_invalid_ident_start_char_hyphen(self):
# Given
character = '-'
# When
actual = _ReconUtils._is_ident_start_char(character)
# Then
self.assertFalse(actual)
def test_is_invalid_ident_start_char_dollar(self):
# Given
character = '$'
# When
actual = _ReconUtils._is_ident_start_char(character)
# Then
self.assertFalse(actual)
def test_is_invalid_ident_start_char_empty(self):
# Given
character = ''
# When
actual = _ReconUtils._is_ident_start_char(character)
# Then
self.assertFalse(actual)
def test_is_valid_ident_char_A(self):
# Given
character = 'A'
# When
actual = _ReconUtils._is_ident_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_char_Z(self):
# Given
character = 'Z'
# When
actual = _ReconUtils._is_ident_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_char_N(self):
# Given
character = 'N'
# When
actual = _ReconUtils._is_ident_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_char_a(self):
# Given
character = 'a'
# When
actual = _ReconUtils._is_ident_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_char_z(self):
# Given
character = 'z'
# When
actual = _ReconUtils._is_ident_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_char_g(self):
# Given
character = 'g'
# When
actual = _ReconUtils._is_ident_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_char_underscore(self):
# Given
character = '_'
# When
actual = _ReconUtils._is_ident_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_char_hyphen(self):
# Given
character = '-'
# When
actual = _ReconUtils._is_ident_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_char_0(self):
# Given
character = '0'
# When
actual = _ReconUtils._is_ident_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_char_9(self):
# Given
character = '9'
# When
actual = _ReconUtils._is_ident_char(character)
# Then
self.assertTrue(actual)
def test_is_valid_ident_char_5(self):
# Given
character = '5'
# When
actual = _ReconUtils._is_ident_char(character)
# Then
self.assertTrue(actual)
def test_is_invalid_ident_char_dollar(self):
# Given
character = '$'
# When
actual = _ReconUtils._is_ident_char(character)
# Then
self.assertFalse(actual)
def test_is_invalid_ident_char_empty(self):
# Given
character = ''
# When
actual = _ReconUtils._is_ident_char(character)
# Then
self.assertFalse(actual)
def test_is_valid_ident(self):
# Given
value = 'test1'
# When
actual = _ReconUtils._is_ident(value)
# Then
self.assertTrue(actual)
def test_is_invalid_ident_empty(self):
# Given
value = ''
# When
actual = _ReconUtils._is_ident(value)
# Then
self.assertFalse(actual)
def test_is_invalid_ident_invalid_start_char(self):
# Given
value = '1test'
# When
actual = _ReconUtils._is_ident(value)
# Then
self.assertFalse(actual)
def test_is_invalid_ident_invalid_middle_char(self):
# Given
value = 'test$test'
# When
actual = _ReconUtils._is_ident(value)
# Then
self.assertFalse(actual)
def test_is_invalid_ident_invalid_end_char(self):
# Given
value = 'test$'
# When
actual = _ReconUtils._is_ident(value)
# Then
self.assertFalse(actual)
def test_is_invalid_ident_invalid_all_chars(self):
# Given
value = '^%&*'
# When
actual = _ReconUtils._is_ident(value)
# Then
self.assertFalse(actual)
def test_is_valid_space_char_space(self):
# Given
character = ' '
# When
actual = _ReconUtils._is_space(character)
# Then
self.assertTrue(actual)
def test_is_valid_space_char_tab(self):
# Given
character = '\t'
# When
actual = _ReconUtils._is_space(character)
# Then
self.assertTrue(actual)
def test_is_invalid_space_char_digit(self):
# Given
character = '5'
# When
actual = _ReconUtils._is_space(character)
# Then
self.assertFalse(actual)
def test_is_invalid_space_char_letter(self):
# Given
character = 'l'
# When
actual = _ReconUtils._is_space(character)
# Then
self.assertFalse(actual)
def test_is_invalid_space_char_empty(self):
# Given
character = ''
# When
actual = _ReconUtils._is_space(character)
# Then
self.assertFalse(actual)
def test_is_valid_digit_char_1(self):
# Given
character = '2'
# When
actual = _ReconUtils._is_digit(character)
# Then
self.assertTrue(actual)
def test_is_valid_digit_char_0(self):
# Given
character = '0'
# When
actual = _ReconUtils._is_digit(character)
# Then
self.assertTrue(actual)
def test_is_valid_digit_char_7(self):
# Given
character = '7'
# When
actual = _ReconUtils._is_digit(character)
# Then
self.assertTrue(actual)
def test_is_valid_digit_char_9(self):
# Given
character = '9'
# When
actual = _ReconUtils._is_digit(character)
# Then
self.assertTrue(actual)
def test_is_invalid_digit_char_letter(self):
# Given
character = 'b'
# When
actual = _ReconUtils._is_digit(character)
# Then
self.assertFalse(actual)
def test_is_invalid_digit_char_underscore(self):
# Given
character = '_'
# When
actual = _ReconUtils._is_digit(character)
# Then
self.assertFalse(actual)
def test_is_invalid_digit_char_empty(self):
# Given
character = ''
# When
actual = _ReconUtils._is_digit(character)
# Then
self.assertFalse(actual)
def test_to_ord_str(self):
# Given
character = 'p'
# When
actual = _ReconUtils._to_ord(character)
# Then
self.assertEqual(112, actual)
def test_to_ord_int(self):
# Given
character = 3
# When
actual = _ReconUtils._to_ord(character)
# Then
self.assertEqual(3, actual)
def test_to_ord_other(self):
# Given
character = 3.12
# When
actual = _ReconUtils._to_ord(character)
# Then
self.assertEqual(None, actual)
def test_output_message_create_empty(self):
# Given
chars = None
# When
actual = _OutputMessage._create(chars)
# Then
self.assertIsInstance(actual, _OutputMessage)
self.assertEqual('', actual._value)
self.assertEqual(0, actual._size)
self.assertEqual('', actual._last_char)
def test_output_message_create_single(self):
# Given
chars = 'p'
# When
actual = _OutputMessage._create(chars)
# Then
self.assertIsInstance(actual, _OutputMessage)
self.assertEqual('p', actual._value)
self.assertEqual(1, actual._size)
self.assertEqual('p', actual._last_char)
def test_output_message_create_multiple(self):
# Given
chars = 'foo_bar'
# When
actual = _OutputMessage._create(chars)
# Then
self.assertIsInstance(actual, _OutputMessage)
self.assertEqual('foo_bar', actual._value)
self.assertEqual(7, actual._size)
self.assertEqual('r', actual._last_char)
def test_output_message_append_str_to_empty(self):
# Given
output_message = _OutputMessage._create('')
chars = 'bar'
# When
output_message._append(chars)
# Then
self.assertIsInstance(output_message, _OutputMessage)
self.assertEqual('bar', output_message._value)
self.assertEqual(3, output_message._size)
self.assertEqual('r', output_message._last_char)
def test_output_message_append_float_to_empty(self):
# Given
output_message = _OutputMessage._create('')
chars = 21.12
# When
output_message._append(chars)
# Then
self.assertIsInstance(output_message, _OutputMessage)
self.assertEqual('21.12', output_message._value)
self.assertEqual(5, output_message._size)
self.assertEqual('2', output_message._last_char)
def test_output_message_append_int_to_empty(self):
# Given
output_message = _OutputMessage._create('')
chars = 13
# When
output_message._append(chars)
# Then
self.assertIsInstance(output_message, _OutputMessage)
self.assertEqual('13', output_message._value)
self.assertEqual(2, output_message._size)
self.assertEqual('3', output_message._last_char)
def test_output_message_append_output_message_to_empty(self):
# Given
output_message = _OutputMessage._create('')
chars = _OutputMessage._create('boo_fast')
# When
output_message._append(chars)
# Then
self.assertIsInstance(output_message, _OutputMessage)
self.assertEqual('boo_fast', output_message._value)
self.assertEqual(8, output_message._size)
self.assertEqual('t', output_message._last_char)
def test_output_message_append_input_message_to_empty(self):
# Given
output_message = _OutputMessage._create('')
chars = _InputMessage._create('my_message')
# When
output_message._append(chars)
# Then
self.assertIsInstance(output_message, _OutputMessage)
self.assertEqual('my_message', output_message._value)
self.assertEqual(10, output_message._size)
self.assertEqual('e', output_message._last_char)
def test_output_message_append_invalid_to_empty(self):
# Given
output_message = _OutputMessage._create('')
chars = CustomString('moo')
# When
with self.assertRaises(TypeError) as error:
output_message._append(chars)
# Then
message = error.exception.args[0]
self.assertEqual('Item of type CustomString cannot be added to Message!', message)
def test_output_message_append_str_to_existing(self):
# Given
output_message = _OutputMessage._create('full')
chars = '_qux'
# When
output_message._append(chars)
# Then
self.assertIsInstance(output_message, _OutputMessage)
self.assertEqual('full_qux', output_message._value)
self.assertEqual(8, output_message._size)
self.assertEqual('x', output_message._last_char)
def test_output_message_append_float_to_existing(self):
# Given
output_message = _OutputMessage._create('full')
chars = 22.1
# When
output_message._append(chars)
# Then
self.assertIsInstance(output_message, _OutputMessage)
self.assertEqual('full22.1', output_message._value)
self.assertEqual(8, output_message._size)
self.assertEqual('1', output_message._last_char)
def test_output_message_append_int_to_existing(self):
# Given
output_message = _OutputMessage._create('empty')
chars = 73
# When
output_message._append(chars)
# Then
self.assertIsInstance(output_message, _OutputMessage)
self.assertEqual('empty73', output_message._value)
self.assertEqual(7, output_message._size)
self.assertEqual('3', output_message._last_char)
def test_output_message_append_output_message_to_existing(self):
# Given
output_message = _OutputMessage._create('empty')
chars = _OutputMessage._create(' house')
# When
output_message._append(chars)
# Then
self.assertIsInstance(output_message, _OutputMessage)
self.assertEqual('empty house', output_message._value)
self.assertEqual(11, output_message._size)
self.assertEqual('e', output_message._last_char)
def test_output_message_append_input_message_to_existing(self):
# Given
output_message = _OutputMessage._create('input_')
chars = _InputMessage._create('message')
# When
output_message._append(chars)
# Then
self.assertIsInstance(output_message, _OutputMessage)
self.assertEqual('input_message', output_message._value)
self.assertEqual(13, output_message._size)
self.assertEqual('e', output_message._last_char)
def test_output_message_append_invalid_to_existing(self):
# Given
output_message = _OutputMessage._create('bar')
chars = CustomString('foo')
# When
with self.assertRaises(TypeError) as error:
output_message._append(chars)
# Then
message = error.exception.args[0]
self.assertEqual('Item of type CustomString cannot be added to Message!', message)
def test_input_message_create_empty(self):
# Given
chars = None
# When
actual = _InputMessage._create(chars)
# Then
self.assertIsInstance(actual, _InputMessage)
self.assertEqual('', actual._value)
self.assertEqual(0, actual._size)
self.assertEqual('', actual._head)
self.assertFalse(actual._is_cont)
def test_input_message_create_single(self):
# Given
chars = 'm'
# When
actual = _InputMessage._create(chars)
# Then
self.assertIsInstance(actual, _InputMessage)
self.assertEqual('m', actual._value)
self.assertEqual(1, actual._size)
self.assertEqual('m', actual._head)
self.assertTrue(actual._is_cont)
def test_input_message_create_multiple(self):
# Given
chars = 'moo_cow'
# When
actual = _InputMessage._create(chars)
# Then
self.assertIsInstance(actual, _InputMessage)
self.assertEqual('moo_cow', actual._value)
self.assertEqual(7, actual._size)
self.assertEqual('m', actual._head)
self.assertTrue(actual._is_cont)
def test_input_message_append_str_to_empty(self):
# Given
input_message = _InputMessage._create('')
chars = 'test'
# When
input_message._append(chars)
# Then
self.assertIsInstance(input_message, _InputMessage)
self.assertEqual('test', input_message._value)
self.assertEqual(4, input_message._size)
self.assertEqual('t', input_message._head)
self.assertTrue(input_message._is_cont)
def test_input_message_append_float_to_empty(self):
# Given
input_message = _InputMessage._create('')
chars = -0.12
# When
input_message._append(chars)
# Then
self.assertIsInstance(input_message, _InputMessage)
self.assertEqual('-0.12', input_message._value)
self.assertEqual(5, input_message._size)
self.assertEqual('-', input_message._head)
self.assertTrue(input_message._is_cont)
def test_input_message_append_int_to_empty(self):
# Given
input_message = _InputMessage._create('')
chars = -32
# When
input_message._append(chars)
# Then
self.assertIsInstance(input_message, _InputMessage)
self.assertEqual('-32', input_message._value)
self.assertEqual(3, input_message._size)
self.assertEqual('-', input_message._head)
self.assertTrue(input_message._is_cont)
def test_input_message_append_input_message_to_empty(self):
# Given
input_message = _InputMessage._create('')
chars = _InputMessage._create('input_bar')
# When
input_message._append(chars)
# Then
self.assertIsInstance(input_message, _InputMessage)
self.assertEqual('input_bar', input_message._value)
self.assertEqual(9, input_message._size)
self.assertEqual('i', input_message._head)
self.assertTrue(input_message._is_cont)
def test_input_message_append_output_message_to_empty(self):
# Given
input_message = _InputMessage._create('')
chars = _OutputMessage._create('output_bar')
# When
input_message._append(chars)
# Then
self.assertIsInstance(input_message, _InputMessage)
self.assertEqual('output_bar', input_message._value)
self.assertEqual(10, input_message._size)
self.assertEqual('o', input_message._head)
self.assertTrue(input_message._is_cont)
def test_input_message_append_invalid_to_empty(self):
# Given
input_message = _InputMessage._create('')
chars = None
# When
with self.assertRaises(TypeError) as error:
input_message._append(chars)
# Then
message = error.exception.args[0]
self.assertEqual('Item of type NoneType cannot be added to Message!', message)
def test_input_message_append_str_to_existing(self):
# Given
input_message = _InputMessage._create('cow')
chars = '_moo'
# When
input_message._append(chars)
# Then
self.assertIsInstance(input_message, _InputMessage)
self.assertEqual('cow_moo', input_message._value)
self.assertEqual(7, input_message._size)
self.assertEqual('c', input_message._head)
self.assertTrue(input_message._is_cont)
def test_input_message_append_float_to_existing(self):
# Given
input_message = _InputMessage._create('paw_')
chars = -1.23
# When
input_message._append(chars)
# Then
self.assertIsInstance(input_message, _InputMessage)
self.assertEqual('paw_-1.23', input_message._value)
self.assertEqual(9, input_message._size)
self.assertEqual('p', input_message._head)
self.assertTrue(input_message._is_cont)
def test_input_message_append_int_to_existing(self):
# Given
input_message = _InputMessage._create('+-111')
chars = -1112
# When
input_message._append(chars)
# Then
self.assertIsInstance(input_message, _InputMessage)
self.assertEqual('+-111-1112', input_message._value)
self.assertEqual(10, input_message._size)
self.assertEqual('+', input_message._head)
self.assertTrue(input_message._is_cont)
def test_input_message_append_input_message_to_existing(self):
# Given
input_message = _InputMessage._create('+_/2')
chars = _InputMessage._create('10-1-2')
# When
input_message._append(chars)
# Then
self.assertIsInstance(input_message, _InputMessage)
self.assertEqual('+_/210-1-2', input_message._value)
self.assertEqual(10, input_message._size)
self.assertEqual('+', input_message._head)
self.assertTrue(input_message._is_cont)
def test_input_message_append_output_message_to_existing(self):
# Given
input_message = _InputMessage._create('bar')
chars = _OutputMessage._create('_foo')
# When
input_message._append(chars)
# Then
self.assertIsInstance(input_message, _InputMessage)
self.assertEqual('bar_foo', input_message._value)
self.assertEqual(7, input_message._size)
self.assertEqual('b', input_message._head)
self.assertTrue(input_message._is_cont)
def test_input_message_append_invalid_to_existing(self):
# Given
input_message = _InputMessage._create('bar')
chars = None
# When
with self.assertRaises(TypeError) as error:
input_message._append(chars)
# Then
message = error.exception.args[0]
self.assertEqual('Item of type NoneType cannot be added to Message!', message)
def test_input_message_skip_spaces_none(self):
# Given
message = _InputMessage._create('foo')
# When
message._skip_spaces(message)
# Then
self.assertEqual('f', message._head)
def test_input_message_skip_spaces_single(self):
# Given
message = _InputMessage._create(' bar')
# When
message._skip_spaces(message)
# Then
self.assertEqual('b', message._head)
def test_input_message_skip_spaces_multiple(self):
# Given
message = _InputMessage._create(' qux')
# When
message._skip_spaces(message)
# Then
self.assertEqual('q', message._head)
def test_input_message_skip_spaces_spaces_only(self):
# Given
message = _InputMessage._create(' ')
# When
message._skip_spaces(message)
# Then
self.assertEqual('', message._head)
def test_input_message_head_empty(self):
# Given
message = _InputMessage._create('')
# When
actual = message._head
# Then
self.assertEqual('', actual)
def test_input_message_head_continuous(self):
# Given
message = _InputMessage._create('abc')
# When
message._step()
actual = message._head
# Then
self.assertEqual('b', actual)
def test_input_message_head_not_continuous(self):
# Given
message = _InputMessage._create('abc')
# When
message._step()
message._step()
message._step()
actual = message._head
# Then
self.assertEqual('', actual)
def test_input_message_is_continuous_empty(self):
# Given
message = _InputMessage._create('')
# When
actual = message._is_cont
# Then
self.assertFalse(actual)
def test_input_message_is_continuous_existing_true(self):
# Given
message = _InputMessage._create('dog')
# When
actual = message._is_cont
# Then
self.assertTrue(actual)
def test_input_message_is_continuous_existing_false(self):
# Given
message = _InputMessage._create('dog')
# When
message._step()
message._step()
message._step()
actual = message._is_cont
# Then
self.assertFalse(actual)
def test_input_message_step_once(self):
# Given
message = _InputMessage._create('dog')
# When
actual = message._step()
# Then
self.assertEqual('o', actual)
def test_input_message_step_twice(self):
# Given
message = _InputMessage._create('dog')
# When
message._step()
actual = message._step()
# Then
self.assertEqual('g', actual)
def test_input_message_step_out_of_bound(self):
# Given
message = _InputMessage._create('dog')
# When
message._step()
message._step()
message._step()
actual = message._step()
# Then
self.assertEqual('', actual)
| 30.817442
| 90
| 0.628419
| 2,836
| 26,503
| 5.479549
| 0.07158
| 0.082625
| 0.044337
| 0.059459
| 0.911068
| 0.869434
| 0.845496
| 0.83314
| 0.777735
| 0.698327
| 0
| 0.007371
| 0.283364
| 26,503
| 859
| 91
| 30.853318
| 0.810825
| 0.074369
| 0
| 0.579592
| 0
| 0
| 0.026636
| 0
| 0
| 0
| 0
| 0
| 0.373469
| 1
| 0.179592
| false
| 0
| 0.006122
| 0
| 0.187755
| 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
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| null | 0
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| 0
| 0
|
0
| 6
|
607c968f0b95092734f013b0b90bde2ae32a1204
| 23,155
|
py
|
Python
|
src/genie/libs/parser/iosxr/tests/ShowPlacementProgramAll/cli/equal/golden_output_2_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 204
|
2018-06-27T00:55:27.000Z
|
2022-03-06T21:12:18.000Z
|
src/genie/libs/parser/iosxr/tests/ShowPlacementProgramAll/cli/equal/golden_output_2_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 468
|
2018-06-19T00:33:18.000Z
|
2022-03-31T23:23:35.000Z
|
src/genie/libs/parser/iosxr/tests/ShowPlacementProgramAll/cli/equal/golden_output_2_expected.py
|
balmasea/genieparser
|
d1e71a96dfb081e0a8591707b9d4872decd5d9d3
|
[
"Apache-2.0"
] | 309
|
2019-01-16T20:21:07.000Z
|
2022-03-30T12:56:41.000Z
|
expected_output = {
"program": {
"auto_ip_ring": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1156",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"bfd": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1158",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"bgp": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1051",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
},
"test": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "Group_10_bgp2",
"jid": "1052",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
},
"test1": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "Group_5_bgp3",
"jid": "1053",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
},
"test2": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "Group_5_bgp4",
"jid": "1054",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
},
}
},
"bgp_epe": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1159",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"bpm": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1066",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"bundlemgr_distrib": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1157",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"domain_services": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1160",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"es_acl_mgr": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1169",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"eth_gl_cfg": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1151",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ethernet_stats_controller_edm": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1161",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ftp_fs": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1162",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"icpe_satmgr": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1163",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"igmp": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "mcast-routing",
"jid": "1208",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"intf_mgbl": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1143",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ipv4_connected": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1152",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ipv4_local": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1153",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ipv4_mfwd_ma": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "mcast-routing",
"jid": "1204",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ipv4_mpa": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1149",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ipv4_rib": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1146",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ipv4_rump": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1167",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ipv4_static": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1043",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ipv6_connected": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v6-routing",
"jid": "1154",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ipv6_local": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v6-routing",
"jid": "1155",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ipv6_mfwd_ma": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "mcast-routing",
"jid": "1205",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ipv6_mpa": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1150",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ipv6_rib": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v6-routing",
"jid": "1147",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ipv6_rump": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v6-routing",
"jid": "1168",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"l2tp_mgr": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1176",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"l2vpn_mgr": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1175",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"mld": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "mcast-routing",
"jid": "1209",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"mpls_ldp": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1199",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"mpls_static": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1142",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"mrib": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "mcast-routing",
"jid": "1206",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"mrib6": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "mcast-routing",
"jid": "1207",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"netconf": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1189",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"nfmgr": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1145",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ospf": {
"instance": {
"1": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1018",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ospf_uv": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1114",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"pbr_ma": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1171",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"pim": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "mcast-routing",
"jid": "1210",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"pim6": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "mcast-routing",
"jid": "1211",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"policy_repository": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1148",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"python_process_manager": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1164",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"qos_ma": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1172",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"rcp_fs": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1165",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"rt_check_mgr": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "v4-routing",
"jid": "1170",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"schema_server": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1177",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"snmppingd": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1195",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"spa_cfg_hlpr": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1130",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ssh_conf_verifier": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1183",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"ssh_server": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1184",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"statsd_manager_g": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "netmgmt",
"jid": "1144",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"telemetry_encoder": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1194",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"tty_verifyd": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1166",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"vservice_mgr": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1173",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"wanphy_proc": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1178",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
"xtc_agent": {
"instance": {
"default": {
"active": "0/RSP1/CPU0",
"active_state": "RUNNING",
"group": "central-services",
"jid": "1174",
"standby": "0/RSP0/CPU0",
"standby_state": "RUNNING",
}
}
},
}
}
| 32.384615
| 48
| 0.306672
| 1,375
| 23,155
| 5.031273
| 0.123636
| 0.208153
| 0.095403
| 0.130095
| 0.908933
| 0.908933
| 0.908933
| 0.711622
| 0.593813
| 0.587598
| 0
| 0.061643
| 0.546707
| 23,155
| 714
| 49
| 32.429972
| 0.597466
| 0
| 0
| 0.574438
| 0
| 0
| 0.318836
| 0.002203
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 1
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| 0
| 0
|
0
| 6
|
60b6b84ab230556ae1607517486df38f09fd5b48
| 69,577
|
py
|
Python
|
coremltools/converters/mil/mil/passes/test_reduce_transposes_pass.py
|
seibert/coremltools
|
609188ebcfee2178293f0d4e93a5af2995c88645
|
[
"BSD-3-Clause"
] | null | null | null |
coremltools/converters/mil/mil/passes/test_reduce_transposes_pass.py
|
seibert/coremltools
|
609188ebcfee2178293f0d4e93a5af2995c88645
|
[
"BSD-3-Clause"
] | null | null | null |
coremltools/converters/mil/mil/passes/test_reduce_transposes_pass.py
|
seibert/coremltools
|
609188ebcfee2178293f0d4e93a5af2995c88645
|
[
"BSD-3-Clause"
] | null | null | null |
# Copyright (c) 2020, Apple Inc. All rights reserved.
#
# Use of this source code is governed by a BSD-3-clause license that can be
# found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause
from coremltools.converters.mil.mil import Builder as mb
from coremltools.converters.mil.testing_utils import (
assert_op_count_match,
assert_model_is_valid,
get_op_types_in_program,
apply_pass_and_basic_check,
)
import unittest
import pytest
import numpy as np
np.random.seed(1984)
class TransposeOptimizationPass(unittest.TestCase):
""""""
"""
Input graph:
input -----> transpose(axis=[1,0]) -----> transpose(axis=[1,0]) ---> out
Output graph:
input -----> relu -----> out
"""
def test_simple_consecutive_ops_fusion_direct_output(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(10, 20))])
def prog(x):
x = mb.transpose(x=x, perm=[1, 0])
x = mb.transpose(x=x, perm=[1, 0])
return x
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog), ["transpose", "transpose"]
)
self.assertEqual(get_op_types_in_program(prog), ["identity"])
assert_model_is_valid(
prog,
{"x": (10, 20)},
expected_output_shapes={block.outputs[0].name: (10, 20)},
)
"""
Input graph:
input -----> transpose(axis=[1,0]) -----> transpose(axis=[1,0]) ----> relu ---> out
Output graph:
input -----> relu -----> out
"""
def test_simple_consecutive_ops_fusion(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(10, 20))])
def prog(x):
x = mb.transpose(x=x, perm=[1, 0])
x = mb.transpose(x=x, perm=[1, 0])
x = mb.relu(x=x)
return x
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog), ["transpose", "transpose", "relu"]
)
self.assertEqual(get_op_types_in_program(prog), ["relu"])
assert_model_is_valid(
prog,
{"x": (10, 20)},
expected_output_shapes={block.outputs[0].name: (10, 20)},
)
"""
Input graph:
input---->transpose(axis=[0,3,1,2])---->relu---->log--->transpose(axis=[0,2,3,1])--->relu--->out
Output graph:
input----->relu----->log----->relu--->out
"""
def test_linear_graph_two_op_fusion(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 3, 4))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 3, 1, 2])
x = mb.relu(x=x)
x = mb.log(x=x)
x = mb.transpose(x=x, perm=[0, 2, 3, 1])
x = mb.relu(x=x)
return x
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "relu", "log", "transpose", "relu"],
)
self.assertEqual(get_op_types_in_program(prog), ["relu", "log", "relu"])
assert_model_is_valid(
prog,
{"x": (1, 2, 3, 4)},
expected_output_shapes={block.outputs[0].name: (1, 2, 3, 4)},
)
"""
Input graph:
input---->transpose(axis=[0,3,1,2])---->relu---->identity--->transpose(axis=[0,2,3,1])--->relu--->out
Output graph:
input----->relu----->identity----->relu--->out
"""
def test_linear_graph_two_op_fusion_1(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 3, 4))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 3, 1, 2])
x = mb.relu(x=x)
x = mb.identity(x=x)
x = mb.transpose(x=x, perm=[0, 2, 3, 1])
x = mb.relu(x=x)
return x
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "relu", "identity", "transpose", "relu"],
)
self.assertEqual(get_op_types_in_program(prog), ["relu", "identity", "relu"])
assert_model_is_valid(
prog,
{"x": (1, 2, 3, 4)},
expected_output_shapes={block.outputs[0].name: (1, 2, 3, 4)},
)
"""
Input graph:
input(shape=1,2,3,4)---->transpose(axis=[0,3,1,2])---->relu---->log--->transpose(axis=[0,2,3,1])--->relu--->out1(shape=1,2,3,4)
|
v
out2(shape=1,4,2,3)
Output graph:
input(shape=1,2,3,4)---->relu---->log--->relu--->out1(shape=1,2,3,4)
|
|----->transpose(axis=[0,3,1,2])----->out2(shape=1,4,2,3)
"""
def test_fusion_with_output_edge_inbetween(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 3, 4))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 3, 1, 2])
x1 = mb.relu(x=x)
x2 = mb.log(x=x1)
x3 = mb.transpose(x=x2, perm=[0, 2, 3, 1])
x4 = mb.relu(x=x3)
return x4, x1
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "relu", "log", "transpose", "relu"],
)
self.assertEqual(
get_op_types_in_program(prog), ["relu", "log", "relu", "transpose"]
)
assert_model_is_valid(
prog,
{"x": (1, 2, 3, 4)},
expected_output_shapes={
block.outputs[0].name: (1, 2, 3, 4),
block.outputs[1].name: (1, 4, 2, 3),
},
)
"""
Input graph:
input---->transpose(axis=[0,3,1,2])---->relu---->transpose(axis=[0,2,3,1])--->out
Output graph:
input----->relu----->out
"""
def test_linear_graph_two_op_fusion_with_last_op_removal(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 3, 4))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 3, 1, 2])
x = mb.relu(x=x)
x = mb.transpose(x=x, perm=[0, 2, 3, 1])
return x
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog), ["transpose", "relu", "transpose"]
)
self.assertEqual(get_op_types_in_program(prog), ["relu"])
assert_model_is_valid(
prog,
{"x": (1, 2, 3, 4)},
expected_output_shapes={block.outputs[0].name: (1, 2, 3, 4)},
)
"""
Input graph:
input(shape=10,2,3)--->transpose(axis=[0,2,1])----->relu---->transpose(axis=[0,2,1])---->out1
|
|
--->relu----->log---->transpose(axis=[0,2,1])---->out2
Output graph:
input(shape=10,2,3)----->relu---->out1
|
|
--->relu----->log---->out2
"""
def test_multiple_fusions(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(10, 2, 3))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 2, 1])
x1 = mb.relu(x=x)
x2 = mb.relu(x=x)
y1 = mb.transpose(x=x1, perm=[0, 2, 1])
x3 = mb.log(x=x2)
y2 = mb.transpose(x=x3, perm=[0, 2, 1])
return y1, y2
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "relu", "relu", "transpose", "log", "transpose"],
)
self.assertEqual(get_op_types_in_program(prog), ["relu", "relu", "log"])
assert (
prev_block.inputs["x"]
== prev_block.find_ops(op_type="transpose")[0].inputs["x"]
)
assert block.find_ops(op_type="log")[0].outputs[0] in block.outputs
assert_model_is_valid(
prog,
{"x": (10, 2, 3)},
expected_output_shapes={
block.outputs[0].name: (10, 2, 3),
block.outputs[1].name: (10, 2, 3),
},
)
"""
Input graph:
input(shape=10,2,3,5)--->transpose(axis=[0,2,3,1])----->relu---->pool----->out1
|
|
--->relu----->log---->transpose(axis=[0,3,1,2])---->out2
Output graph:
input(shape=10,2,3,5)----->relu---->transpose(axis=[0,2,3,1])---->pool----->out1
|
|
--->relu----->log---->out2
"""
def test_partial_fusion_0(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(10, 2, 3, 5))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 2, 3, 1])
x1 = mb.relu(x=x)
x2 = mb.relu(x=x)
y1 = mb.avg_pool(
x=x1, kernel_sizes=[1, 1], strides=[1, 1], pad_type="valid"
)
x3 = mb.log(x=x2)
y2 = mb.transpose(x=x3, perm=[0, 3, 1, 2])
return y1, y2
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "relu", "relu", "avg_pool", "log", "transpose"],
)
self.assertEqual(
get_op_types_in_program(prog),
["relu", "relu", "transpose", "avg_pool", "log"],
)
assert (
prev_block.inputs["x"]
== prev_block.find_ops(op_type="transpose")[0].inputs["x"]
)
assert block.find_ops(op_type="log")[0].outputs[0] == block.outputs[1]
assert (
block.find_ops(op_type="transpose")[0].outputs[0]
== block.find_ops(op_type="avg_pool")[0].inputs["x"]
)
assert list(block.find_ops(op_type="transpose")[0].perm.val) == [0, 2, 3, 1]
assert_model_is_valid(
prog,
{"x": (10, 2, 3, 5)},
expected_output_shapes={
block.outputs[0].name: (10, 3, 5, 2),
block.outputs[1].name: (10, 2, 3, 5),
},
)
"""
Input graph:
input(shape=10,2,3,5)--->transpose(axis=[0,2,1,3])----->relu---->transpose(axis=[0,2,1,3])---->out1
|
|
--->pool--->log---->transpose(axis=[0,2,1,3])---->out2
Output graph:
input(shape=10,2,3,5)----->relu---->out1
|
|
--->transpose(axis=[0,2,1,3])---->pool----->log---->transpose(axis=[0,2,1,3])---->out2
"""
def test_partial_fusion_1(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(10, 2, 3, 5))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 2, 1, 3])
x1 = mb.relu(x=x)
x2 = mb.avg_pool(x=x, kernel_sizes=[1, 1], strides=[1, 1], pad_type="valid")
y1 = mb.transpose(x=x1, perm=[0, 2, 1, 3])
x3 = mb.log(x=x2)
y2 = mb.transpose(x=x3, perm=[0, 2, 1, 3])
return y1, y2
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "relu", "avg_pool", "transpose", "log", "transpose"],
)
self.assertEqual(
get_op_types_in_program(prog),
["relu", "transpose", "avg_pool", "log", "transpose"],
)
assert block.inputs["x"] == block.find_ops(op_type="relu")[0].inputs["x"]
assert block.outputs[0] == block.find_ops(op_type="relu")[0].outputs[0]
assert_model_is_valid(
prog,
{"x": (10, 2, 3, 5)},
expected_output_shapes={
block.outputs[0].name: (10, 2, 3, 5),
block.outputs[1].name: (10, 2, 3, 5),
},
)
"""
Input graph:
|-------> transpose(axis=[0,2,1,3]) ---->out1(shape=10,2,3,5)
|
input(shape=10,2,3,5)-->relu-->transpose(axis=[0,2,1,3])--->relu--->transpose(axis=[0,2,1,3]) ---->out2(shape=10,2,3,5)
|
|----->pool--------------->out3(shape=10,3,2,5)
|
|----->pool--------------->out4(shape=10.3.2.5)
Output graph:
|---->out1(shape=10,2,3,5)
|
input---->relu---------->relu------->out2(shape=10,2,3,5)
|
|----->transpose(axis=[0,2,1,3])--->pool---->out3(shape=10,3,2,5)
|
|----->transpose(axis=[0,2,1,3])---->pool--->out4(shape=10.3.2.5)
"""
def test_partial_fusion_2(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(10, 2, 3, 5))])
def prog(x):
x = mb.relu(x=x)
x = mb.transpose(x=x, perm=[0, 2, 1, 3])
y1 = mb.transpose(x=x, perm=[0, 2, 1, 3])
x1 = mb.relu(x=x)
y2 = mb.transpose(x=x1, perm=[0, 2, 1, 3])
y3 = mb.avg_pool(
x=x1, kernel_sizes=[1, 1], strides=[1, 1], pad_type="valid"
)
y4 = mb.avg_pool(
x=x1, kernel_sizes=[1, 1], strides=[1, 1], pad_type="valid"
)
return y1, y2, y3, y4
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
[
"relu",
"transpose",
"transpose",
"relu",
"transpose",
"avg_pool",
"avg_pool",
],
)
self.assertEqual(
get_op_types_in_program(prog),
["relu", "relu", "transpose", "avg_pool", "transpose", "avg_pool"],
)
assert block.outputs[0] == block.find_ops(op_type="relu")[0].outputs[0]
assert block.outputs[1] == block.find_ops(op_type="relu")[1].outputs[0]
assert_model_is_valid(
prog,
{"x": (10, 2, 3, 5)},
expected_output_shapes={
block.outputs[0].name: (10, 2, 3, 5),
block.outputs[1].name: (10, 2, 3, 5),
block.outputs[2].name: (10, 3, 2, 5),
block.outputs[3].name: (10, 3, 2, 5),
},
)
"""
Input graph:
input(shape=10,2,3,5)-->relu--->transpose(axis=[0,2,1,3])----->transpose(axis=[0,2,1,3])---->out1(shape=10,2,3,5)
|
---->relu------>out2(shape=10,3,2,5)
Output graph:
input(shape=10,2,3,5)-->relu---->out1(shape=10,2,3,5)
|
---->relu--->transpose(axis=[0,2,1,3])------>out2(shape=10,3,2,5)
"""
def test_partial_fusion_3(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(10, 2, 3, 5))])
def prog(x):
x = mb.relu(x=x)
x = mb.transpose(x=x, perm=[0, 2, 1, 3])
x1 = mb.transpose(x=x, perm=[0, 2, 1, 3])
x2 = mb.relu(x=x)
return x1, x2
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["relu", "transpose", "transpose", "relu"],
)
self.assertEqual(get_op_types_in_program(prog), ["relu", "relu", "transpose"])
assert block.outputs[0] == block.find_ops(op_type="relu")[0].outputs[0]
assert_model_is_valid(
prog,
{"x": (10, 2, 3, 5)},
expected_output_shapes={
block.outputs[0].name: (10, 2, 3, 5),
block.outputs[1].name: (10, 3, 2, 5),
},
)
"""
Input graph:
input(shape=10,2,3,5)-->relu--->transpose(axis=[0,2,1,3])----->transpose(axis=[0,2,1,3])---->out1(shape=10,2,3,5)
|
------>out2(shape=10,3,2,5)
Output graph:
same as input graph as one of the optimizing transpose is connected to model output
"""
def test_partial_fusion_4(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(10, 2, 3, 5))])
def prog(x):
x = mb.relu(x=x)
out2 = mb.transpose(x=x, perm=[0, 2, 1, 3])
out1 = mb.transpose(x=out2, perm=[0, 2, 1, 3])
return out1, out2
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog), ["relu", "transpose", "transpose"]
)
self.assertEqual(
get_op_types_in_program(prog), ["relu", "transpose", "transpose"]
)
assert block.outputs[1] == block.find_ops(op_type="transpose")[0].outputs[0]
assert_model_is_valid(
prog,
{"x": (10, 2, 3, 5)},
expected_output_shapes={
block.outputs[0].name: (10, 2, 3, 5),
block.outputs[1].name: (10, 3, 2, 5),
},
)
"""
Input graph:
input(shape=10,2,3,5)-->relu-->transpose(axis=[0,2,1,3])--->relu--->transpose(axis=[0,2,1,3]) ---->out1(shape=10,2,3,5)
|
|--->relu-->pool--------------->out2(shape=10,3,2,5)
|
|----->pool--------------->out3(shape=10.3.2.5)
Output graph:
same as the input graph as materialization ops are greater than cancel ops
"""
def test_no_fusion_more_materialization_ops(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(10, 2, 3, 5))])
def prog(x):
x = mb.relu(x=x)
x = mb.transpose(x=x, perm=[0, 2, 1, 3])
x1 = mb.relu(x=x)
y2 = mb.transpose(x=x1, perm=[0, 2, 1, 3])
x2 = mb.relu(x=x1)
y3 = mb.avg_pool(
x=x2, kernel_sizes=[1, 1], strides=[1, 1], pad_type="valid"
)
y4 = mb.avg_pool(
x=x1, kernel_sizes=[1, 1], strides=[1, 1], pad_type="valid"
)
return y2, y3, y4
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["relu", "transpose", "relu", "transpose", "relu", "avg_pool", "avg_pool"],
)
self.assertEqual(
get_op_types_in_program(prog),
["relu", "transpose", "relu", "transpose", "relu", "avg_pool", "avg_pool"],
)
assert_model_is_valid(
prog,
{"x": (10, 2, 3, 5)},
expected_output_shapes={
block.outputs[0].name: (10, 2, 3, 5),
block.outputs[1].name: (10, 3, 2, 5),
block.outputs[2].name: (10, 3, 2, 5),
},
)
"""
Input graph:
input(shape=10,2,3)--->transpose(axis=[0,2,1])----->relu---->transpose(axis=[0,2,1])---->out1
|
|
--->reduce(axis=2)----->log---->transpose(axis=[0,2,1])---->out2
Output graph:
input(shape=10,2,3)----->relu---->out1
|
|
--->reduce(axis=1)----->log---->out2
"""
def test_fusion_with_axis_op(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(10, 2, 3))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 2, 1])
x1 = mb.relu(x=x)
x2 = mb.reduce_mean(x=x, axes=[2], keep_dims=True)
y1 = mb.transpose(x=x1, perm=[0, 2, 1])
x3 = mb.log(x=x2)
y2 = mb.transpose(x=x3, perm=[0, 2, 1])
return y1, y2
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "relu", "reduce_mean", "transpose", "log", "transpose"],
)
self.assertEqual(get_op_types_in_program(prog), ["relu", "reduce_mean", "log"])
assert list(block.find_ops(op_type="reduce_mean")[0].inputs["axes"].val) == [1]
assert_model_is_valid(
prog,
{"x": (10, 2, 3)},
expected_output_shapes={
block.outputs[0].name: (10, 2, 3),
block.outputs[1].name: (10, 1, 3),
},
)
"""
Input graph:
input(shape=11,2,3,6)--->transpose(axis=[0,3,1,2])---
|
|
--->pad(pad=[0,0,0,0,1,2,3,4])
|
|-->log--->transpose(axis=[0,2,3,1])-->out1(shape=11,5,10,6)
Output graph:
same as input graph, as transpose cannot be pushed through the pad op since "reflect" mode is only supported
along the last two axis
"""
def test_fusion_with_pad_reflective_op_0(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(11, 2, 3, 6))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 3, 1, 2])
x2 = mb.pad(x=x, pad=[0, 0, 0, 0, 1, 2, 3, 4], mode="reflect")
x3 = mb.log(x=x2)
y2 = mb.transpose(x=x3, perm=[0, 2, 3, 1])
return y2
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog), ["transpose", "pad", "log", "transpose"]
)
self.assertEqual(
get_op_types_in_program(prog), ["transpose", "pad", "log", "transpose"]
)
assert list(block.find_ops(op_type="pad")[0].inputs["pad"].val.flatten()) == [
0,
0,
0,
0,
1,
2,
3,
4,
]
assert_model_is_valid(
prog,
{"x": (11, 2, 3, 6)},
expected_output_shapes={block.outputs[0].name: (11, 5, 10, 6)},
)
"""
Input graph:
input(shape=11,2,3,6)--->transpose(axis=[0,1,3,2])---
|
|
--->pad(pad=[0,0,0,0,1,2,3,4])
|
|-->log--->transpose(axis=[0,1,3,2])-->out1(shape=11,2,10,9)
Output graph:
input(shape=11,2,3,6)--->pad(pad=[0,0,0,0,3,4,1,2])-->log-->out1(shape=11,2,10,9)
"""
def test_fusion_with_pad_reflective_op_1(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(11, 2, 3, 6))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 1, 3, 2])
x2 = mb.pad(x=x, pad=[0, 0, 0, 0, 1, 2, 3, 4], mode="reflect")
x3 = mb.log(x=x2)
y2 = mb.transpose(x=x3, perm=[0, 1, 3, 2])
return y2
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog), ["transpose", "pad", "log", "transpose"]
)
self.assertEqual(get_op_types_in_program(prog), ["pad", "log"])
assert list(block.find_ops(op_type="pad")[0].inputs["pad"].val.flatten()) == [
0,
0,
0,
0,
3,
4,
1,
2,
]
assert_model_is_valid(
prog,
{"x": (11, 2, 3, 6)},
expected_output_shapes={block.outputs[0].name: (11, 2, 10, 9)},
)
"""
Input graph:
input(shape=11,2,3,6)--->transpose(axis=[0,3,1,2])---
|
|
--->pad(pad=[0,0,0,0,1,2,3,4])
|
|-->log--->transpose(axis=[0,2,3,1])-->out1(shape=11,5,10,6)
Output graph:
input(shape=11,2,3,6)--->pad(pad=[0,0,1,2,3,4,0,0])-->log-->out1(shape=11,5,10,6)
"""
def test_fusion_with_pad_constant_op(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(11, 2, 3, 6))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 3, 1, 2])
x2 = mb.pad(
x=x, pad=[0, 0, 0, 0, 1, 2, 3, 4], mode="constant", constant_val=3.0
)
x3 = mb.log(x=x2)
y2 = mb.transpose(x=x3, perm=[0, 2, 3, 1])
return y2
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog), ["transpose", "pad", "log", "transpose"]
)
self.assertEqual(get_op_types_in_program(prog), ["pad", "log"])
assert list(block.find_ops(op_type="pad")[0].inputs["pad"].val.flatten()) == [
0,
0,
1,
2,
3,
4,
0,
0,
]
assert_model_is_valid(
prog,
{"x": (11, 2, 3, 6)},
expected_output_shapes={block.outputs[0].name: (11, 5, 10, 6)},
)
"""
Input graph:
const(shape=2)
|
V
input(shape=1,2,5,5)--->transpose(axis=[0,2,3,1])--->add---->transpose(axis=[0,3,1,2])--->out(shape=1,2,5,5)
Output graph:
const(shape=1,2,1,1)
|
V
input(shape=1,2,5,5)--->add--->out(shape=1,2,5,5)
"""
def test_fusion_with_add_constant_op(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 5, 5))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 2, 3, 1])
x = mb.add(x=x, y=np.array([10, 100]))
x = mb.transpose(x=x, perm=[0, 3, 1, 2])
return x
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog), ["transpose", "add", "transpose"]
)
self.assertEqual(get_op_types_in_program(prog), ["add"])
assert_model_is_valid(
prog,
{"x": (1, 2, 5, 5)},
expected_output_shapes={block.outputs[0].name: (1, 2, 5, 5)},
)
"""
Input graph:
const(scalar)
|
V
input(shape=1,2,5,5)--->transpose(axis=[0,2,3,1])--->add---->transpose(axis=[0,3,1,2])--->out(shape=1,2,5,5)
Output graph:
const(scalar)
|
V
input(shape=1,2,5,5)--->add--->out(shape=1,2,5,5)
"""
def test_fusion_with_add_scalar_constant_op(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 5, 5))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 2, 3, 1])
x = mb.add(x=5, y=x)
x = mb.transpose(x=x, perm=[0, 3, 1, 2])
return x
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog), ["transpose", "add", "transpose"]
)
self.assertEqual(get_op_types_in_program(prog), ["add"])
assert_model_is_valid(
prog,
{"x": (1, 2, 5, 5)},
expected_output_shapes={block.outputs[0].name: (1, 2, 5, 5)},
)
"""
Input graph:
input(shape=1,2,5,5)----->transpose(axis=[0,2,3,1])--->add---->transpose(axis=[0,3,1,2])--->out(shape=1,2,5,5)
| ^
| |
|---->relu---->transpose(axis=[0,2,3,1])
Output graph:
input(shape=1,2,5,5)----->add--->out(shape=1,2,5,5)
| ^
| |
|------>relu
"""
def test_fusion_with_add_broadcastable_0(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 5, 5))])
def prog(x):
x1 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x2 = mb.relu(x=x)
x2 = mb.transpose(x=x2, perm=[0, 2, 3, 1])
x3 = mb.add(x=x1, y=x2)
y = mb.transpose(x=x3, perm=[0, 3, 1, 2])
return y
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "relu", "transpose", "add", "transpose"],
)
self.assertEqual(get_op_types_in_program(prog), ["relu", "add"])
assert block.find_ops(op_type="relu")[0].inputs["x"] == block.inputs["x"]
assert block.find_ops(op_type="add")[0].inputs["x"] == block.inputs["x"]
assert (
block.find_ops(op_type="add")[0].inputs["y"]
== block.find_ops(op_type="relu")[0].outputs[0]
)
assert_model_is_valid(
prog,
{"x": (1, 2, 5, 5)},
expected_output_shapes={block.outputs[0].name: (1, 2, 5, 5)},
)
"""
Input graph:
input(shape=1,2,5,5)----->transpose(axis=[0,2,3,1])--->add---->transpose(axis=[0,3,1,2])--->out(shape=1,2,5,5)
| ^
| |
|----------------------->transpose(axis=[0,2,3,1])
Output graph:
input(shape=1,2,5,5)----->add--->out(shape=1,2,5,5)
| ^
| |
|---------
"""
def test_fusion_with_add_broadcastable_1(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 5, 5))])
def prog(x):
x1 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x2 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x3 = mb.add(x=x1, y=x2)
y = mb.transpose(x=x3, perm=[0, 3, 1, 2])
return y
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "transpose", "add", "transpose"],
)
self.assertEqual(get_op_types_in_program(prog), ["add"])
assert block.find_ops(op_type="add")[0].inputs["x"] == block.inputs["x"]
assert block.find_ops(op_type="add")[0].inputs["y"] == block.inputs["x"]
assert_model_is_valid(
prog,
{"x": (1, 2, 5, 5)},
expected_output_shapes={block.outputs[0].name: (1, 2, 5, 5)},
)
"""
Input graph:
input(shape=1,2,5,5)--->transpose(axis=[0,2,3,1])---> relu---->concat(axis=3)----->transpose(axis=[0,3,1,2])----->out1(shape=1,4,5,5)
| ^
| |
|->transpose(axis=[0,2,3,1])--->relu------------
Output graph:
input(shape=1,2,5,5)------> relu---->concat(axis=1)--->out1(shape=1,4,5,5)
| ^
| |
|---->relu------------
"""
def test_concat_pattern_0(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 5, 5))])
def prog(x):
x1 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x2 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x1 = mb.relu(x=x1)
x2 = mb.relu(x=x2)
x3 = mb.concat(values=[x1, x2], axis=3)
x4 = mb.transpose(x=x3, perm=[0, 3, 1, 2])
return x4
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "transpose", "relu", "relu", "concat", "transpose"],
)
self.assertEqual(get_op_types_in_program(prog), ["relu", "relu", "concat"])
assert_model_is_valid(
prog,
{"x": (1, 2, 5, 5)},
expected_output_shapes={block.outputs[0].name: (1, 4, 5, 5)},
)
"""
Input graph:
input(shape=1,2,5,5)--->transpose(axis=[0,2,3,1])---> relu---->concat(axis=3)----->transpose(axis=[0,3,1,2])----->out1(shape=1,4,5,5)
| ^
| |
|->transpose(axis=[0,2,3,1])------->relu--------
|
V
pool--->out2(shape=1,5,5,2)
Output graph:
input(shape=1,2,5,5)------> relu---->concat(axis=1)--->out1(shape=1,4,5,5)
| ^
| |
|---->relu------------
|
|--->transpose(axis=[0,2,3,1])---->pool--->out2(shape=1,5,5,2)
"""
def test_concat_pattern_1(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 5, 5))])
def prog(x):
x1 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x2 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x1 = mb.relu(x=x1)
x2 = mb.relu(x=x2)
x3 = mb.concat(values=[x1, x2], axis=3)
x4 = mb.transpose(x=x3, perm=[0, 3, 1, 2])
x5 = mb.avg_pool(
x=x2, kernel_sizes=[1, 1], strides=[1, 1], pad_type="valid"
)
return x4, x5
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
[
"transpose",
"transpose",
"relu",
"relu",
"concat",
"transpose",
"avg_pool",
],
)
self.assertEqual(
get_op_types_in_program(prog),
["relu", "relu", "concat", "transpose", "avg_pool"],
)
assert_model_is_valid(
prog,
{"x": (1, 2, 5, 5)},
expected_output_shapes={
block.outputs[0].name: (1, 4, 5, 5),
block.outputs[1].name: (1, 5, 5, 2),
},
)
"""
Input graph:
input(shape=1,2,5,5)--->transpose(axis=[0,2,3,1])---> relu---->concat(axis=3)----->transpose(axis=[0,3,1,2])----->out1(shape=1,4,5,5)
| ^
| |
|->transpose(axis=[0,2,3,1])------->relu--------
|
V
relu--->out2(shape=1,5,5,2)
Output graph:
input(shape=1,2,5,5)------> relu---->concat(axis=1)--->out1(shape=1,4,5,5)
| ^
| |
|---->relu------------
|
|--->relu---->transpose(axis=[0,2,3,1])---->out2(shape=1,5,5,2)
"""
def test_concat_pattern_2(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 5, 5))])
def prog(x):
x1 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x2 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x1 = mb.relu(x=x1)
x2 = mb.relu(x=x2)
x3 = mb.concat(values=[x1, x2], axis=3)
x4 = mb.transpose(x=x3, perm=[0, 3, 1, 2])
x5 = mb.relu(x=x2)
return x4, x5
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "transpose", "relu", "relu", "concat", "transpose", "relu"],
)
self.assertEqual(
get_op_types_in_program(prog),
["relu", "relu", "concat", "relu", "transpose"],
)
assert_model_is_valid(
prog,
{"x": (1, 2, 5, 5)},
expected_output_shapes={
block.outputs[0].name: (1, 4, 5, 5),
block.outputs[1].name: (1, 5, 5, 2),
},
)
"""
Input graph:
input(shape=1,2,5,5)--->transpose(axis=[0,2,3,1])---> relu---->concat(axis=3)----->transpose(axis=[0,3,1,2])----->out1(shape=1,4,5,5)
| ^
| |
|->transpose(axis=[0,2,3,1])------->relu--------
|
V
out2(shape=1,5,5,2)
Output graph:
input(shape=1,2,5,5)------> relu---->concat(axis=1)--->out1(shape=1,4,5,5)
| ^
| |
|---->relu------------
|
|--->transpose(axis=[0,2,3,1])---->out2(shape=1,5,5,2)
"""
def test_concat_pattern_3(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 5, 5))])
def prog(x):
x1 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x2 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x1 = mb.relu(x=x1)
x2 = mb.relu(x=x2)
x3 = mb.concat(values=[x1, x2], axis=3)
x4 = mb.transpose(x=x3, perm=[0, 3, 1, 2])
return x4, x2
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "transpose", "relu", "relu", "concat", "transpose"],
)
self.assertEqual(
get_op_types_in_program(prog), ["relu", "relu", "concat", "transpose"]
)
assert_model_is_valid(
prog,
{"x": (1, 2, 5, 5)},
expected_output_shapes={
block.outputs[0].name: (1, 4, 5, 5),
block.outputs[1].name: (1, 5, 5, 2),
},
)
"""
Input graph:
input(shape=1,2,5,5)--->transpose(axis=[0,2,3,1])---> relu---->concat(axis=3)----->transpose(axis=[0,3,1,2])----->out1(shape=1,4,5,5)
| ^
| |
|->transpose(axis=[0,2,3,1])------->relu--------
|
V
transpose(axis=[0,3,1,2]) -----> out2(shape=1,2,5,5)
Output graph:
input(shape=1,2,5,5)---> relu---->concat(axis=1)----->out1(shape=1,4,5,5)
| ^
| |
|------------------->relu-------->out2(shape=1,2,5,5)
"""
def test_concat_pattern_4(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 5, 5))])
def prog(x):
x1 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x2 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x1 = mb.relu(x=x1)
x2 = mb.relu(x=x2)
x3 = mb.concat(values=[x1, x2], axis=3)
x4 = mb.transpose(x=x3, perm=[0, 3, 1, 2])
x5 = mb.transpose(x=x2, perm=[0, 3, 1, 2])
return x4, x5
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
[
"transpose",
"transpose",
"relu",
"relu",
"concat",
"transpose",
"transpose",
],
)
self.assertEqual(get_op_types_in_program(prog), ["relu", "relu", "concat"])
assert_model_is_valid(
prog,
{"x": (1, 2, 5, 5)},
expected_output_shapes={
block.outputs[0].name: (1, 4, 5, 5),
block.outputs[1].name: (1, 2, 5, 5),
},
)
"""
Input graph:
constant(shape=[30,10,5])
|
V
input(shape=10,20,30)--->transpose(axis=[2,0,1])--->concat(axis=2)----->transpose(axis=[1,2,0])----->out1(shape=10,25,30)
Output graph:
constant(shape=[10,5,30])
|
V
input(shape=10,20,30)--->concat(axis=1)----->out1(shape=10,25,30)
"""
def test_concat_pattern_5(self):
const = np.random.rand(30, 10, 5)
@mb.program(input_specs=[mb.TensorSpec(shape=(10, 20, 30))])
def prog(x):
x1 = mb.transpose(x=x, perm=[2, 0, 1])
c = mb.const(val=const)
x2 = mb.concat(values=[x1, c], axis=2)
x3 = mb.transpose(x=x2, perm=[1, 2, 0])
return x3
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog), ["transpose", "concat", "transpose"]
)
self.assertEqual(get_op_types_in_program(prog), ["concat"])
assert_model_is_valid(
prog,
{"x": (10, 20, 30)},
expected_output_shapes={block.outputs[0].name: (10, 25, 30)},
)
"""
Input graph:
input2(shape=30,10,20)-----|
|
input(shape=10,20,30)--->transpose(axis=[2,0,1])----->relu-----|----->concat(axis=2)------>out1(shape=90,10,20)
| |
|-->relu-----|
|
|-->relu---->transpose(axis=[1,2,0])---->out2(shape=10,20,30)
|
|-->relu---->transpose(axis=[1,2,0])---->out3(shape=10,20,30)
|
|-->relu---->transpose(axis=[1,2,0])---->out4(shape=10,20,30)
Output graph:
input2(shape=30,10,20)-----|
|
input(shape=10,20,30)----->relu--->transpose(axis=[2,0,1])-----|----->concat(axis=2)------>out1(shape=90,10,20)
| |
|-->relu--->transpose(axis=[2,0,1])-----|
|
|-->relu---->out2(shape=10,20,30)
|
|-->relu---->out3(shape=10,20,30)
|
|-->relu---->out4(shape=10,20,30)
Output graph:
"""
def test_concat_pattern_6(self):
@mb.program(
input_specs=[
mb.TensorSpec(shape=(10, 20, 30)),
mb.TensorSpec(shape=(30, 10, 20)),
]
)
def prog(x, y):
x1 = mb.transpose(x=x, perm=[2, 0, 1])
r1 = mb.relu(x=x1)
r2 = mb.relu(x=x1)
r3 = mb.relu(x=x1)
r4 = mb.relu(x=x1)
r5 = mb.relu(x=x1)
x2 = mb.concat(values=[r1, r2, y], axis=0)
x3 = mb.transpose(x=r3, perm=[1, 2, 0])
x4 = mb.transpose(x=r4, perm=[1, 2, 0])
x5 = mb.transpose(x=r5, perm=[1, 2, 0])
return x2, x3, x4, x5
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
[
"transpose",
"relu",
"relu",
"relu",
"relu",
"relu",
"concat",
"transpose",
"transpose",
"transpose",
],
)
self.assertEqual(
get_op_types_in_program(prog),
[
"relu",
"relu",
"relu",
"relu",
"relu",
"transpose",
"transpose",
"concat",
],
)
assert_model_is_valid(
prog,
{"x": (10, 20, 30), "y": (30, 10, 20)},
expected_output_shapes={
block.outputs[0].name: (90, 10, 20),
block.outputs[1].name: (10, 20, 30),
block.outputs[2].name: (10, 20, 30),
block.outputs[3].name: (10, 20, 30),
},
)
"""
Input graph:
input(shape=1,4,5,6)--->transpose(axis=[0,3,2,1])--->relu---->split(axis=1, num_splits=2)----->transpose(axis=[0,3,2,1])----->out1(shape=1,4,5,3)
|
v
transpose(axis[0,3,2,1])-------------------------->out2(shape=1,4,5,3)
Output graph:
input(shape=1,4,5,6)------> relu ---->split(axis=3)--->out1(shape=1,4,5,3)
|
v
out2(shape=1,4,5,3)
"""
def test_split_nd_pattern_0(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 4, 5, 6))])
def prog(x):
x1 = mb.transpose(x=x, perm=[0, 3, 2, 1])
x1 = mb.relu(x=x1)
x2, x3 = mb.split(x=x1, axis=1, num_splits=2)
x4 = mb.transpose(x=x2, perm=[0, 3, 2, 1])
x5 = mb.transpose(x=x3, perm=[0, 3, 2, 1])
return x4, x5
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "relu", "split", "transpose", "transpose"],
)
self.assertEqual(get_op_types_in_program(prog), ["relu", "split"])
assert_model_is_valid(
prog,
{"x": (1, 4, 5, 6)},
expected_output_shapes={block.outputs[0].name: (1, 4, 5, 3),
block.outputs[1].name: (1, 4, 5, 3)},
)
self.assertEqual(block.find_ops(op_type="split")[0].axis.val, 3)
"""
Input graph:
input(shape=1,4,5,6)--->transpose(axis=[0,3,2,1])--->relu---->splitd(axis=1, num_splits=6)----->transpose(axis=[0,3,2,1])----->out1(shape=1,4,5,3)
|
v
transpose(axis[0,3,2,1])-------------------------------------->out2(shape=1,4,5,3)
Output graph:
input(shape=1,4,5,6)------>relu---->split(axis=3)--->out1(shape=1,4,5,3)
|
v
out2(shape=1,4,5,3)
"""
def test_split_nd_pattern_1(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 4, 5, 6))])
def prog(x):
x1 = mb.transpose(x=x, perm=[0, 3, 2, 1])
x1 = mb.relu(x=x1)
x2, x3, x4, x5, x6, x7 = mb.split(x=x1, axis=1, num_splits=6)
x2 = mb.transpose(x=x2, perm=[0, 3, 2, 1])
x3 = mb.transpose(x=x3, perm=[0, 3, 2, 1])
x4 = mb.transpose(x=x4, perm=[0, 3, 2, 1])
x5 = mb.transpose(x=x5, perm=[0, 3, 2, 1])
x6 = mb.transpose(x=x6, perm=[0, 3, 2, 1])
x7 = mb.transpose(x=x7, perm=[0, 3, 2, 1])
return x2, x3, x4, x5, x6, x7
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "relu", "split", "transpose", "transpose", "transpose", "transpose", "transpose", "transpose"],
)
self.assertEqual(get_op_types_in_program(prog), ["relu", "split"])
assert_model_is_valid(
prog,
{"x": (1, 4, 5, 6)},
expected_output_shapes={block.outputs[0].name: (1, 4, 5, 1),
block.outputs[1].name: (1, 4, 5, 1),
block.outputs[2].name: (1, 4, 5, 1),
block.outputs[3].name: (1, 4, 5, 1),
block.outputs[4].name: (1, 4, 5, 1),
block.outputs[5].name: (1, 4, 5, 1)},
)
self.assertEqual(block.find_ops(op_type="split")[0].axis.val, 3)
"""
Input graph:
input(shape=1,4,5,6)--->transpose(axis=[0,3,2,1])---> split(axis=1, num_splits=2) ----> concat(axis=1) ----->transpose(axis=[0,3,2,1]) ----->out1(shape=1,4,5,6)
| ^
v |
relu() ----------------------
Output graph:
input(shape=1,4,5,6)------>split(axis=3)--->concat(axis=3) -------> out1(shape=1,4,5,6)
| ^
v |
relu() --------------
"""
def test_split_nd_pattern_2(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 4, 5, 6))])
def prog(x):
x1 = mb.transpose(x=x, perm=[0, 3, 2, 1])
x2, x3 = mb.split(x=x1, axis=1, num_splits=2)
x4 = mb.relu(x=x2)
x5 = mb.concat(values=[x4, x3], axis=1)
x6 = mb.transpose(x=x5, perm=[0, 3, 2, 1])
return x6
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "split", "relu", "concat", "transpose"]
)
self.assertEqual(get_op_types_in_program(prog), ["split", "relu", "concat"])
assert_model_is_valid(
prog,
{"x": (1, 4, 5, 6)},
expected_output_shapes={block.outputs[0].name: (1, 4, 5, 6)},
)
self.assertEqual(block.find_ops(op_type="split")[0].axis.val, 3)
"""
Input graph:
input(shape=1,5,5,3)----->transpose(axis=[0,3,1,2])
|
---->relu-------------->transpose(axis=[0,2,3,1])
| |
| V
| relu
| |
| V
| transpose(axis=[0,3,1,2])
| |
| V
----------------> add --------> relu---->pool---->out(shape=1,3,5,5)
Output graph:
input(shape=1,5,5,3)---->relu------------------------> relu
| |
| V
----------------> add
|
V
relu
|
V
transpose(axis=[0,3,1,2])-->pool---->out(shape=1,3,5,5)
"""
def test_skip_connection_pattern_0(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 5, 5, 3))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 3, 1, 2])
x = mb.relu(x=x)
x1 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x2 = mb.relu(x=x1)
x3 = mb.transpose(x=x2, perm=[0, 3, 1, 2])
x4 = mb.add(x=x, y=x3)
x5 = mb.relu(x=x4)
x6 = mb.avg_pool(
x=x5, kernel_sizes=[1, 1], strides=[1, 1], pad_type="valid"
)
return x6
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
[
"transpose",
"relu",
"transpose",
"relu",
"transpose",
"add",
"relu",
"avg_pool",
],
)
self.assertEqual(
get_op_types_in_program(prog),
["relu", "relu", "add", "relu", "transpose", "avg_pool"],
)
assert_model_is_valid(
prog,
{"x": (1, 5, 5, 3)},
expected_output_shapes={block.outputs[0].name: (1, 3, 5, 5)},
)
"""
Input graph:
input(shape=1,5,5,3)----->transpose(axis=[0,3,1,2])
|
---->relu-------------->transpose(axis=[0,2,3,1])
| |
| V
| relu
| |
| V
| transpose(axis=[0,3,1,2])
| |
| V
----------------> add -->transpose(axis=[0,2,3,1])
|
V
relu---->pool---->out(shape=1,5,5,3)
Output graph:
input(shape=1,5,5,3)---->relu------------------------> relu
| |
| V
----------------> add
|
V
relu
|
V
pool---->out(shape=1,5,5,3)
"""
def test_skip_connection_pattern_1(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 5, 5, 3))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 3, 1, 2])
x = mb.relu(x=x)
x1 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x2 = mb.relu(x=x1)
x3 = mb.transpose(x=x2, perm=[0, 3, 1, 2])
x4 = mb.add(x=x, y=x3)
x4 = mb.transpose(x=x4, perm=[0, 2, 3, 1])
x5 = mb.relu(x=x4)
x6 = mb.avg_pool(
x=x5, kernel_sizes=[1, 1], strides=[1, 1], pad_type="valid"
)
return x6
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
[
"transpose",
"relu",
"transpose",
"relu",
"transpose",
"add",
"transpose",
"relu",
"avg_pool",
],
)
self.assertEqual(
get_op_types_in_program(prog), ["relu", "relu", "add", "relu", "avg_pool"]
)
assert_model_is_valid(
prog,
{"x": (1, 5, 5, 3)},
expected_output_shapes={block.outputs[0].name: (1, 5, 5, 3)},
)
"""
Input graph:
input(shape=2,5)--->transpose(axis=[1,0])--->transpose(axis=[1,0])-->reduce(axis=1)
| |
| V
| transpose(axis=[1,0])
| |
| V
-------------------------------------------->add------->out(shape=5,2)
Output graph:
input(shape=2,5)--->reduce(axis=1)---->add---->transpose(axis=[1,0])--->out(shape=5,2)
| ^
| |
------------------------
"""
def test_residual_with_unmaterialized_output(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(2, 5))])
def prog(x):
x1 = mb.transpose(x=x, perm=[1,0])
t1 = mb.transpose(x=x1, perm=[1,0])
x2 = mb.reduce_mean(x=t1, axes=[1], keep_dims=True)
t2 = mb.transpose(x=x2, perm=[1,0])
return mb.add(x=x1, y=t2)
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
[
'transpose',
'transpose',
'reduce_mean',
'transpose',
'add'
]
)
self.assertEqual(
get_op_types_in_program(prog), ['reduce_mean', 'add', 'transpose']
)
assert_model_is_valid(
prog,
{'x': (2, 5)},
expected_output_shapes={block.outputs[0].name: (5,2)}
)
"""
Input graph:
input(shape=2,5)--->transpose(axis=[1,0])--->transpose(axis=[1,0])-->reduce(axis=1)
| |
| V
| transpose(axis=[1,0])
| |
| V
-------------------------------------------->add------->out1(shape=5,2)
|
V
relu------->out2(shape=5,2)
Output graph:
input(shape=2,5)--->reduce(axis=1)----> add ----->transpose(axis=[1,0])----->out1(shape=5,2)
| |
| V
---------------------> relu----->transpose(axis=[1,0])----->out2(shape=5,2)
"""
def test_residual_with_unmaterialized_multiple_output(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(2, 5))])
def prog(x):
x1 = mb.transpose(x=x, perm=[1,0])
t1 = mb.transpose(x=x1, perm=[1,0])
x2 = mb.reduce_mean(x=t1, axes=[1], keep_dims=True)
t2 = mb.transpose(x=x2, perm=[1,0])
out1 = mb.add(x=x1, y=t2)
out2 = mb.relu(x=out1)
return out1, out2
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
[
'transpose',
'transpose',
'reduce_mean',
'transpose',
'add',
'relu'
]
)
self.assertEqual(
get_op_types_in_program(prog), ['reduce_mean', 'add', 'relu', 'transpose', 'transpose']
)
assert_model_is_valid(
prog,
{'x': (2, 5)},
expected_output_shapes={block.outputs[0].name: (5,2),
block.outputs[1].name: (5,2)}
)
"""
Input graph:
input(shape=2,5)---->transpose(axis=[1,0])------>relu----->transpose(axis=[1,0])------>out2(shape=2,5)
|
------->out1(shape=5,2)
Output graph:
input(shape=2,5)---->relu-----> out2(shape=2,5)
|
V
transpose(axis=[1,0]) -----> out1(shape=5,2)
"""
def test_materialized_output_reuse(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(2, 5))])
def prog(x):
x1 = mb.transpose(x=x, perm=[1,0])
y1 = mb.relu(x=x1)
y2 = mb.transpose(x=y1, perm=[1,0])
return y1, y2
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
[
'transpose',
'relu',
'transpose',
]
)
self.assertEqual(
get_op_types_in_program(prog), ['relu', 'transpose']
)
assert_model_is_valid(
prog,
{'x': (2, 5)},
expected_output_shapes={block.outputs[0].name: (5,2),
block.outputs[1].name: (2,5)}
)
"""
Input graph:
input(shape=1,2,5,5)----->transpose(axis=[0,2,3,1])------->add------------>transpose(axis=[0,3,1,2])--->out1(shape=1,2,5,5)
| ^ |
| | |
---->relu ----->transpose(axis=[0,3,1,2])--->out2(shape=1,2,5,5)
Output graph:
input(shape=1,2,5,5)----->add------->out1(shape=1,2,5,5)
| ^ |
| | |
|------>relu ------identity(renaming)---->out2(shape=1,2,5,5)
"""
def test_fusion_with_double_outputs(self):
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 2, 5, 5))])
def prog(x):
x1 = mb.transpose(x=x, perm=[0, 2, 3, 1])
x2 = mb.relu(x=x1)
x3 = mb.add(x=x1, y=x2)
y1 = mb.transpose(x=x3, perm=[0, 3, 1, 2])
y2 = mb.transpose(x=x3, perm=[0, 3, 1, 2])
return y1, y2
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog),
["transpose", "relu", "add", "transpose", "transpose"],
)
self.assertEqual(get_op_types_in_program(prog), ["relu", "add", "identity"])
assert block.find_ops(op_type="relu")[0].inputs["x"] == block.inputs["x"]
assert block.find_ops(op_type="add")[0].inputs["x"] == block.inputs["x"]
assert (
block.find_ops(op_type="add")[0].inputs["y"]
== block.find_ops(op_type="relu")[0].outputs[0]
)
assert_model_is_valid(
prog,
{"x": (1, 2, 5, 5)},
expected_output_shapes={block.outputs[0].name: (1, 2, 5, 5)},
)
def test_pass_through_broadcasted_binary_op(self):
"""
Input graph:
const
|
input --> transpose --> add --> transpose --> relu
Output graph:
const
|
input --> add --> relu
Note: the `const` op is of shape (1, 1, 1, 3) which is pre-broadcasted.
"""
@mb.program(input_specs=[mb.TensorSpec(shape=(1, 4, 3, 2))])
def prog(x):
x = mb.transpose(x=x, perm=[0, 3, 1, 2])
x = mb.add(x=x, y=np.array(np.ones(shape=(1, 1, 1, 3))))
x = mb.transpose(x=x, perm=[0, 2, 3, 1])
x = mb.relu(x=x)
return x
prev_prog, prev_block, block = apply_pass_and_basic_check(
prog, "common::reduce_transposes"
)
self.assertEqual(
get_op_types_in_program(prev_prog), ["transpose", "add", "transpose", "relu"],
)
self.assertEqual(get_op_types_in_program(prog), ["add", "relu"])
assert_model_is_valid(
prog,
{"x": (1, 4, 3, 2)},
expected_output_shapes={block.outputs[0].name: (1, 4, 3, 2)},
)
| 37.978712
| 164
| 0.39983
| 7,730
| 69,577
| 3.4511
| 0.028461
| 0.011021
| 0.045882
| 0.034637
| 0.925854
| 0.908236
| 0.887731
| 0.861604
| 0.842598
| 0.80039
| 0
| 0.071548
| 0.432514
| 69,577
| 1,831
| 165
| 37.999454
| 0.604093
| 0.006755
| 0
| 0.651121
| 0
| 0
| 0.0754
| 0.021845
| 0
| 0
| 0
| 0
| 0.128251
| 1
| 0.068161
| false
| 0.036771
| 0.004484
| 0
| 0.107623
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
60badf36df1ebd2ae661d265f51549a384bd6cfe
| 25
|
py
|
Python
|
backend/apps/authentication/__init__.py
|
apopovidis/speechex
|
e38da51d8b3e58cbaf5965a832de4e14fa0a73db
|
[
"MIT"
] | null | null | null |
backend/apps/authentication/__init__.py
|
apopovidis/speechex
|
e38da51d8b3e58cbaf5965a832de4e14fa0a73db
|
[
"MIT"
] | null | null | null |
backend/apps/authentication/__init__.py
|
apopovidis/speechex
|
e38da51d8b3e58cbaf5965a832de4e14fa0a73db
|
[
"MIT"
] | null | null | null |
from ...settings import *
| 25
| 25
| 0.72
| 3
| 25
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12
| 25
| 1
| 25
| 25
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
60ee197ecac98cd2aa48ab62c72e28451c3962d8
| 15,992
|
py
|
Python
|
resources/tests.py
|
wencakisa/freesource
|
7f33b337fe92ac4b675d2194266920779b13cdb8
|
[
"MIT"
] | null | null | null |
resources/tests.py
|
wencakisa/freesource
|
7f33b337fe92ac4b675d2194266920779b13cdb8
|
[
"MIT"
] | null | null | null |
resources/tests.py
|
wencakisa/freesource
|
7f33b337fe92ac4b675d2194266920779b13cdb8
|
[
"MIT"
] | null | null | null |
from django.contrib.auth.models import User
from django.shortcuts import reverse
from rest_framework.test import APITestCase, APIClient
from rest_framework import status
from .models import Category, Resource, Comment
class AbstractTestCase(APITestCase):
def setUp(self):
self.client = APIClient()
self.user = User.objects.create_user(
username='test_user',
password='passtestword123'
)
self.category = Category.objects.create(name='Test')
self.unauthorized_message = 'Authentication credentials were not provided.'
self.forbidden_message = 'You do not have permission to perform this action.'
self.not_found_message = 'Not found.'
class CategoryListViewTestCase(AbstractTestCase):
def setUp(self):
super().setUp()
self.url = reverse('resources:category-list')
self.admin_user = User.objects.create_superuser(
username='admin_user',
email='admin@gmail.com',
password='you1can2not3guess4my5password6'
)
self.post_data = {'name': 'Music'}
def test_category_list_with_non_authenticated_user(self):
response = self.client.get(self.url)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data['detail'], self.unauthorized_message)
def test_category_list_with_authenticated_user(self):
self.client.force_authenticate(self.user)
response = self.client.get(self.url)
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data[0]['id'], self.category.id)
self.assertEqual(response.data[0]['name'], self.category.name)
def test_category_creation_with_non_authenticated_user(self):
response = self.client.post(self.url, data=self.post_data)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data['detail'], self.unauthorized_message)
def test_category_creation_with_normal_user(self):
self.client.force_authenticate(self.user)
response = self.client.post(self.url, data=self.post_data)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(response.data['detail'], self.forbidden_message)
def test_category_creation_with_admin_user(self):
self.client.force_authenticate(self.admin_user)
response = self.client.post(self.url, data=self.post_data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertEqual(Category.objects.count(), 2)
self.assertEqual(response.data['name'], Category.objects.last().name)
class ResourceAbstractTestCase(AbstractTestCase):
def setUp(self):
super().setUp()
self.resource = Resource.objects.create(
title='Test resource',
resource_url='http://www.django-rest-framework.org/api-guide/testing/',
owner=self.user
)
self.resource.categories.add(self.category)
class ResourceCategoryListTestCase(ResourceAbstractTestCase):
def setUp(self):
super().setUp()
self.url_name = 'resources:resource-category-list'
def test_resource_category_list_with_non_authorized_user(self):
response = self.client.get(
reverse(
self.url_name,
kwargs={'category_name': self.category.name.lower()}
)
)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data['detail'], self.unauthorized_message)
def test_resource_category_list_with_invalid_category(self):
self.client.force_authenticate(self.user)
response = self.client.get(
reverse(
self.url_name,
kwargs={'category_name': 'wrong'}
)
)
self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEqual(response.data['detail'], self.not_found_message)
def test_resource_category_list_with_valid_category(self):
self.client.force_authenticate(self.user)
response = self.client.get(
reverse(
self.url_name,
kwargs={'category_name': self.category.name.lower()}
)
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data[0]['id'], self.resource.id)
self.assertEqual(response.data[0]['categories'][0]['id'], self.category.id)
class ResourceViewSetTestCase(ResourceAbstractTestCase):
def setUp(self):
super().setUp()
self.non_owner_user = User.objects.create_user(
username='nonowner',
password='123456789'
)
self.list_url_name = 'resources:resources-list'
self.detail_url_name = 'resources:resources-detail'
self.post_data = {
'title': 'Sample title',
'resource_url': 'http://www.diveintopython3.net/'
}
self.put_data = {
'title': 'skydive'
}
self.forbidden_message = 'You are not the resource owner.'
def test_resource_creation_with_non_authenticated_user(self):
response = self.client.post(reverse(self.list_url_name), data=self.post_data)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data['detail'], self.unauthorized_message)
def test_resource_creation_with_authenticated_user(self):
self.client.force_authenticate(self.user)
response = self.client.post(reverse(self.list_url_name), data=self.post_data)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertEqual(Resource.objects.count(), 2)
def test_resource_list_with_non_authenticated_user(self):
response = self.client.get(reverse(self.list_url_name))
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data['detail'], self.unauthorized_message)
def test_resource_list_with_authenticated_user(self):
self.client.force_authenticate(self.user)
response = self.client.get(reverse(self.list_url_name))
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data[0]['title'], self.resource.title)
def test_resource_detail_with_non_authenticated_user(self):
response = self.client.get(
reverse(
self.detail_url_name,
kwargs={'pk': self.resource.id}
)
)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data['detail'], self.unauthorized_message)
def test_resource_detail_with_authenticated_user(self):
self.client.force_authenticate(self.user)
response = self.client.get(
reverse(
self.detail_url_name,
kwargs={'pk': self.resource.id}
)
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data['title'], self.resource.title)
def test_resource_update_with_non_authenticated_user(self):
response = self.client.put(
reverse(
self.detail_url_name,
kwargs={'pk': self.resource.id}
),
data=self.put_data
)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data['detail'], self.unauthorized_message)
def test_resource_update_with_non_resource_owner(self):
self.client.force_authenticate(self.non_owner_user)
response = self.client.put(
reverse(
self.detail_url_name,
kwargs={'pk': self.resource.id}
),
data=self.put_data
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(response.data['detail'], self.forbidden_message)
def test_resource_update_with_resource_owner(self):
self.client.force_authenticate(self.resource.owner)
response = self.client.put(
reverse(
self.detail_url_name,
kwargs={'pk': self.resource.id}
),
data=self.put_data
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_resource_destroy_with_non_authenticated_user(self):
response = self.client.delete(
reverse(
self.detail_url_name,
kwargs={'pk': self.resource.id}
)
)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data['detail'], self.unauthorized_message)
def test_resource_destroy_with_non_resource_owner(self):
self.client.force_authenticate(self.non_owner_user)
response = self.client.delete(
reverse(
self.detail_url_name,
kwargs={'pk': self.resource.id}
)
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(response.data['detail'], self.forbidden_message)
def test_resource_destroy_with_resource_owner(self):
self.client.force_authenticate(self.resource.owner)
response = self.client.delete(
reverse(
self.detail_url_name,
kwargs={'pk': self.resource.id}
)
)
self.assertFalse(Resource.objects.all())
class CommentViewSetTestCase(ResourceAbstractTestCase):
def setUp(self):
super().setUp()
self.non_author_user = User.objects.create_user(
username='non_author',
password='iamnottheauthor123'
)
self.comment = Comment.objects.create(
resource=self.resource,
content='testestestest',
author=self.user
)
self.list_url_name = 'resources:resource-comments-list'
self.detail_url_name = 'resources:resource-comments-detail'
self.post_data = {
'content': 'blablablabla.'
}
self.forbidden_message = 'You can delete only your own comments.'
def test_comment_creation_with_non_authenticated_user(self):
response = self.client.post(
reverse(
self.list_url_name,
kwargs={'resource_pk': self.resource.id}
),
data=self.post_data
)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data['detail'], self.unauthorized_message)
def test_comment_creation_with_authenticated_user(self):
self.client.force_authenticate(self.user)
response = self.client.post(
reverse(
self.list_url_name,
kwargs={'resource_pk': self.resource.id}
),
data=self.post_data
)
self.assertEqual(response.status_code, status.HTTP_201_CREATED)
self.assertEqual(Comment.objects.count(), 2)
def test_comment_list_with_non_authenticated_user(self):
response = self.client.get(
reverse(
self.list_url_name,
kwargs={'resource_pk': self.resource.id}
)
)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data['detail'], self.unauthorized_message)
def test_comment_list_with_authenticated_user(self):
self.client.force_authenticate(self.user)
response = self.client.get(
reverse(
self.list_url_name,
kwargs={'resource_pk': self.resource.id}
)
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_comment_detail_with_non_authenticated_user(self):
response = self.client.get(
reverse(
self.detail_url_name,
kwargs={
'resource_pk': self.resource.id,
'pk': self.comment.id
}
)
)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data['detail'], self.unauthorized_message)
def test_comment_detail_with_authenticated_user(self):
self.client.force_authenticate(self.user)
response = self.client.get(
reverse(
self.detail_url_name,
kwargs={
'resource_pk': self.resource.id,
'pk': self.comment.id
}
)
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
self.assertEqual(response.data['content'], self.comment.content)
def test_comment_update_with_non_authenticated_user(self):
response = self.client.put(
reverse(
self.detail_url_name,
kwargs={
'resource_pk': self.resource.id,
'pk': self.comment.id
}
),
data=self.post_data
)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data['detail'], self.unauthorized_message)
def test_comment_update_with_non_comment_author(self):
self.client.force_authenticate(self.non_author_user)
response = self.client.put(
reverse(
self.detail_url_name,
kwargs={
'resource_pk': self.resource.id,
'pk': self.comment.id
}
),
data=self.post_data
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(response.data['detail'], self.forbidden_message)
def test_comment_update_with_comment_author(self):
self.client.force_authenticate(self.comment.author)
response = self.client.put(
reverse(
self.detail_url_name,
kwargs={
'resource_pk': self.resource.id,
'pk': self.comment.id
}
),
data=self.post_data
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
def test_comment_destroy_with_non_authenticated_user(self):
response = self.client.delete(
reverse(
self.detail_url_name,
kwargs={
'resource_pk': self.resource.id,
'pk': self.comment.id
}
)
)
self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED)
self.assertEqual(response.data['detail'], self.unauthorized_message)
def test_comment_destroy_with_non_comment_author(self):
self.client.force_authenticate(self.non_author_user)
response = self.client.delete(
reverse(
self.detail_url_name,
kwargs={
'resource_pk': self.resource.id,
'pk': self.comment.id
}
)
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertEqual(response.data['detail'], self.forbidden_message)
def test_comment_destroy_with_comment_author(self):
self.client.force_authenticate(self.comment.author)
response = self.client.delete(
reverse(
self.detail_url_name,
kwargs={
'resource_pk': self.resource.id,
'pk': self.comment.id
}
)
)
self.assertFalse(Comment.objects.all())
| 33.386221
| 85
| 0.628502
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| 0.093575
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| 0.830318
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| 86
| 33.456067
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| 0.010929
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|
0
| 6
|
60fb124c084a07c8fb48054bec97a15188c12f3d
| 192
|
py
|
Python
|
dvc/dependency/local.py
|
yfarjoun/dvc
|
eaca7dc80c765dd3a8dbe4c8fb3b206656bbc5e2
|
[
"Apache-2.0"
] | 2
|
2019-06-23T14:24:48.000Z
|
2019-07-08T12:22:53.000Z
|
dvc/dependency/local.py
|
yfarjoun/dvc
|
eaca7dc80c765dd3a8dbe4c8fb3b206656bbc5e2
|
[
"Apache-2.0"
] | null | null | null |
dvc/dependency/local.py
|
yfarjoun/dvc
|
eaca7dc80c765dd3a8dbe4c8fb3b206656bbc5e2
|
[
"Apache-2.0"
] | 1
|
2019-09-02T00:29:40.000Z
|
2019-09-02T00:29:40.000Z
|
from __future__ import unicode_literals
from dvc.dependency.base import DependencyBase
from dvc.output.local import OutputLOCAL
class DependencyLOCAL(DependencyBase, OutputLOCAL):
pass
| 21.333333
| 51
| 0.838542
| 22
| 192
| 7.090909
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0
| 6
|
88063efe36a7f0fc1588166734ca233ccbd273ac
| 14,465
|
py
|
Python
|
eagleeye/riemann/protobuf.py
|
hawkowl/eagleeye
|
7f0cbad5e001b879180d37b06a8f98a879f9dc0a
|
[
"MIT"
] | 5
|
2016-06-15T13:16:34.000Z
|
2017-05-26T12:34:01.000Z
|
eagleeye/riemann/protobuf.py
|
hawkowl/eagleeye
|
7f0cbad5e001b879180d37b06a8f98a879f9dc0a
|
[
"MIT"
] | null | null | null |
eagleeye/riemann/protobuf.py
|
hawkowl/eagleeye
|
7f0cbad5e001b879180d37b06a8f98a879f9dc0a
|
[
"MIT"
] | null | null | null |
# Generated by the protocol buffer compiler. DO NOT EDIT!
from google.protobuf import descriptor
from google.protobuf import message
from google.protobuf import reflection
from google.protobuf import descriptor_pb2
# @@protoc_insertion_point(imports)
DESCRIPTOR = descriptor.FileDescriptor(
name='proto.proto',
package='',
serialized_pb='\n\x0bproto.proto\"\x81\x01\n\x05State\x12\x0c\n\x04time\x18\x01 \x01(\x03\x12\r\n\x05state\x18\x02 \x01(\t\x12\x0f\n\x07service\x18\x03 \x01(\t\x12\x0c\n\x04host\x18\x04 \x01(\t\x12\x13\n\x0b\x64\x65scription\x18\x05 \x01(\t\x12\x0c\n\x04once\x18\x06 \x01(\x08\x12\x0c\n\x04tags\x18\x07 \x03(\t\x12\x0b\n\x03ttl\x18\x08 \x01(\x02\"\xce\x01\n\x05\x45vent\x12\x0c\n\x04time\x18\x01 \x01(\x03\x12\r\n\x05state\x18\x02 \x01(\t\x12\x0f\n\x07service\x18\x03 \x01(\t\x12\x0c\n\x04host\x18\x04 \x01(\t\x12\x13\n\x0b\x64\x65scription\x18\x05 \x01(\t\x12\x0c\n\x04tags\x18\x07 \x03(\t\x12\x0b\n\x03ttl\x18\x08 \x01(\x02\x12\x1e\n\nattributes\x18\t \x03(\x0b\x32\n.Attribute\x12\x15\n\rmetric_sint64\x18\r \x01(\x12\x12\x10\n\x08metric_d\x18\x0e \x01(\x01\x12\x10\n\x08metric_f\x18\x0f \x01(\x02\"\x17\n\x05Query\x12\x0e\n\x06string\x18\x01 \x01(\t\"g\n\x03Msg\x12\n\n\x02ok\x18\x02 \x01(\x08\x12\r\n\x05\x65rror\x18\x03 \x01(\t\x12\x16\n\x06states\x18\x04 \x03(\x0b\x32\x06.State\x12\x15\n\x05query\x18\x05 \x01(\x0b\x32\x06.Query\x12\x16\n\x06\x65vents\x18\x06 \x03(\x0b\x32\x06.Event\"\'\n\tAttribute\x12\x0b\n\x03key\x18\x01 \x02(\t\x12\r\n\x05value\x18\x02 \x01(\tB\x1a\n\x11\x63om.aphyr.riemannB\x05Proto')
_STATE = descriptor.Descriptor(
name='State',
full_name='State',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='time', full_name='State.time', index=0,
number=1, 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,
options=None),
descriptor.FieldDescriptor(
name='state', full_name='State.state', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='service', full_name='State.service', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='host', full_name='State.host', index=3,
number=4, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='description', full_name='State.description', index=4,
number=5, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='once', full_name='State.once', index=5,
number=6, 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,
options=None),
descriptor.FieldDescriptor(
name='tags', full_name='State.tags', index=6,
number=7, 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,
options=None),
descriptor.FieldDescriptor(
name='ttl', full_name='State.ttl', index=7,
number=8, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=16,
serialized_end=145,
)
_EVENT = descriptor.Descriptor(
name='Event',
full_name='Event',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='time', full_name='Event.time', index=0,
number=1, 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,
options=None),
descriptor.FieldDescriptor(
name='state', full_name='Event.state', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='service', full_name='Event.service', index=2,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='host', full_name='Event.host', index=3,
number=4, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='description', full_name='Event.description', index=4,
number=5, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='tags', full_name='Event.tags', index=5,
number=7, 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,
options=None),
descriptor.FieldDescriptor(
name='ttl', full_name='Event.ttl', index=6,
number=8, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='attributes', full_name='Event.attributes', index=7,
number=9, 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,
options=None),
descriptor.FieldDescriptor(
name='metric_sint64', full_name='Event.metric_sint64', index=8,
number=13, type=18, 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,
options=None),
descriptor.FieldDescriptor(
name='metric_d', full_name='Event.metric_d', index=9,
number=14, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='metric_f', full_name='Event.metric_f', index=10,
number=15, type=2, cpp_type=6, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=148,
serialized_end=354,
)
_QUERY = descriptor.Descriptor(
name='Query',
full_name='Query',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='string', full_name='Query.string', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=356,
serialized_end=379,
)
_MSG = descriptor.Descriptor(
name='Msg',
full_name='Msg',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='ok', full_name='Msg.ok', index=0,
number=2, 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,
options=None),
descriptor.FieldDescriptor(
name='error', full_name='Msg.error', index=1,
number=3, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='states', full_name='Msg.states', index=2,
number=4, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='query', full_name='Msg.query', index=3,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='events', full_name='Msg.events', index=4,
number=6, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=381,
serialized_end=484,
)
_ATTRIBUTE = descriptor.Descriptor(
name='Attribute',
full_name='Attribute',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
descriptor.FieldDescriptor(
name='key', full_name='Attribute.key', index=0,
number=1, type=9, cpp_type=9, label=2,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
descriptor.FieldDescriptor(
name='value', full_name='Attribute.value', index=1,
number=2, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=unicode("", "utf-8"),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
options=None),
],
extensions=[
],
nested_types=[],
enum_types=[
],
options=None,
is_extendable=False,
extension_ranges=[],
serialized_start=486,
serialized_end=525,
)
_EVENT.fields_by_name['attributes'].message_type = _ATTRIBUTE
_MSG.fields_by_name['states'].message_type = _STATE
_MSG.fields_by_name['query'].message_type = _QUERY
_MSG.fields_by_name['events'].message_type = _EVENT
DESCRIPTOR.message_types_by_name['State'] = _STATE
DESCRIPTOR.message_types_by_name['Event'] = _EVENT
DESCRIPTOR.message_types_by_name['Query'] = _QUERY
DESCRIPTOR.message_types_by_name['Msg'] = _MSG
DESCRIPTOR.message_types_by_name['Attribute'] = _ATTRIBUTE
class State(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _STATE
# @@protoc_insertion_point(class_scope:State)
class Event(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _EVENT
# @@protoc_insertion_point(class_scope:Event)
class Query(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _QUERY
# @@protoc_insertion_point(class_scope:Query)
class Msg(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _MSG
# @@protoc_insertion_point(class_scope:Msg)
class Attribute(message.Message):
__metaclass__ = reflection.GeneratedProtocolMessageType
DESCRIPTOR = _ATTRIBUTE
# @@protoc_insertion_point(class_scope:Attribute)
# @@protoc_insertion_point(module_scope)
| 41.09375
| 1,221
| 0.645627
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| 4.932597
| 0.092818
| 0.077061
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| 0.060484
| 0.787186
| 0.74888
| 0.700045
| 0.700045
| 0.695789
| 0.695789
| 0
| 0.050645
| 0.228759
| 14,465
| 352
| 1,222
| 41.09375
| 0.749641
| 0.024265
| 0
| 0.696203
| 1
| 0.003165
| 0.122785
| 0.07472
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.012658
| 0
| 0.060127
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
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|
0
| 6
|
714813dfda71aa14d9c2ae76c853fff9a97ba212
| 79,322
|
py
|
Python
|
tests/test_sd.py
|
afflux/someip
|
b08a17260e934afa4c2f150023be690b25f9add9
|
[
"MIT"
] | null | null | null |
tests/test_sd.py
|
afflux/someip
|
b08a17260e934afa4c2f150023be690b25f9add9
|
[
"MIT"
] | null | null | null |
tests/test_sd.py
|
afflux/someip
|
b08a17260e934afa4c2f150023be690b25f9add9
|
[
"MIT"
] | null | null | null |
# vim:foldmethod=marker:foldlevel=0
import asyncio
import ipaddress
import itertools
import logging
import os
import socket
import struct
import sys
import typing
import unittest
import unittest.mock
from dataclasses import replace
import someip.header as hdr
import someip.config as cfg
import someip.sd as sd
logging.captureWarnings(True)
logging.basicConfig(level=logging.DEBUG)
logging.getLogger("asyncio").setLevel(logging.WARNING)
logging.getLogger("someip").setLevel(logging.WARNING)
PRECISION = 0.4 if os.environ.get("CI") == "true" else 0.2 # in seconds
def ticks(n):
return PRECISION * n
def setUpModule():
if sys.platform.startswith("win"):
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
# {{{ Utilities: pack_sd and _SendTiming
def pack_sd(entries, reboot=True, unicast=True, session_id=1):
msg = hdr.SOMEIPSDHeader(
flag_reboot=reboot,
flag_unicast=unicast,
entries=tuple(entries),
).assign_option_indexes()
data = hdr.SOMEIPHeader(
service_id=hdr.SD_SERVICE,
method_id=hdr.SD_METHOD,
client_id=0,
session_id=session_id,
interface_version=hdr.SD_INTERFACE_VERSION,
message_type=hdr.SOMEIPMessageType.NOTIFICATION,
payload=msg.build(),
).build()
return data
class _SendTiming(unittest.TestCase):
def setup_timing(self, *mocks):
self.send_times: typing.Dict[unittest.mock.Mock, typing.List[float]] = {}
for mock in mocks:
self.send_times[mock] = []
mock.side_effect = self.record_time(mock)
self.t_start = asyncio.get_running_loop().time()
def record_time(self, mock):
def _mock_side_effect(*args, **kwargs):
self.send_times[mock].append(asyncio.get_running_loop().time())
return unittest.mock.DEFAULT
return _mock_side_effect
def reset_mock(self, reset_start=False):
for mock, send_times in self.send_times.items():
send_times.clear()
mock.reset_mock()
if reset_start:
self.t_start = asyncio.get_running_loop().time()
def assertTiming(self, *expected): # noqa: N802
tdiffs = {
m: [t - self.t_start for t in times] for m, times in self.send_times.items()
}
# self.assertEqual(len(self.send_times), len(expected))
for i, (expected_td, mock, expected_call) in enumerate(expected):
actual_call = mock.call_args_list.pop(0)
actual_td = tdiffs[mock].pop(0)
self.assertEqual(actual_call, expected_call, msg=f"index {i} failed")
self.assertLess(
abs(ticks(expected_td) - actual_td),
PRECISION,
msg=f"{ticks(expected_td)=} {actual_td=}",
)
self.assertDictEqual(
tdiffs, {m: [] for m in tdiffs.keys()}, msg="some calls were not asserted"
)
async def settle():
fut: asyncio.Future[None] = asyncio.Future()
asyncio.get_event_loop().call_soon(fut.set_result, None)
await fut
# }}}
class TestSD(unittest.IsolatedAsyncioTestCase):
multi_addr = ("2001:db8::1", 30490, 0, 0)
fake_addr = ("2001:db8::2", 30490, 0, 0)
async def _test_endpoint(self, family, host):
sock = None
trsp, prot = await sd.SOMEIPDatagramProtocol.create_unicast_endpoint(
local_addr=(host, 0),
)
try:
prot.message_received = unittest.mock.Mock()
local_sockname = trsp.get_extra_info("sockname")
message = hdr.SOMEIPHeader(
service_id=0xDEAD,
method_id=0xBEEF,
client_id=0xCCCC,
session_id=0xDDDD,
protocol_version=1,
interface_version=2,
message_type=hdr.SOMEIPMessageType.REQUEST_ACK,
return_code=hdr.SOMEIPReturnCode.E_NOT_READY,
)
data = b"\xde\xad\xbe\xef\x00\x00\x00\x08\xcc\xcc\xdd\xdd\x01\x02\x40\x04"
sock = socket.socket(family, socket.SOCK_DGRAM, socket.IPPROTO_UDP)
addrs = await asyncio.get_event_loop().getaddrinfo(
host,
0,
family=sock.family,
type=sock.type,
proto=sock.proto,
flags=socket.AI_NUMERICHOST | socket.AI_NUMERICSERV,
)
bind_addr = addrs[0][4]
sock.bind(bind_addr)
sock.sendto(data, local_sockname)
sender_sockname = sock.getsockname()
await asyncio.sleep(0.01)
prot.message_received.assert_called_once_with(
message, sender_sockname, False
)
prot.message_received.reset_mock()
data = b"\xde\xad\xbe\xef\x00\x00\x00\x08\xcc\xcc\xdd\xdd\x00\x02\x40\x04"
sock.sendto(data, local_sockname)
with self.assertLogs("someip", level="ERROR"):
await asyncio.sleep(0.01)
prot.message_received.assert_not_called()
finally:
if sock:
sock.close()
trsp.close()
async def test_endpoint_v6(self):
await self._test_endpoint(socket.AF_INET6, "::1")
async def test_endpoint_v4(self):
await self._test_endpoint(socket.AF_INET, "127.0.0.1")
async def test_send_session_id(self):
entry = cfg.Service(service_id=0x1234).create_find_entry()
prot = sd.ServiceDiscoveryProtocol(self.multi_addr)
_mock = prot.transport = unittest.mock.Mock()
# session_id wraps to 1 instead of 0
r = itertools.chain(
range(1, 0x10000),
range(0x100001, 0x20000),
range(0x200001, 0x20020),
)
for i in r:
prot.send_sd([entry], self.fake_addr)
_mock.sendto.assert_called_once_with(
pack_sd((entry,), session_id=i & 0xFFFF, reboot=i < 0x10000),
self.fake_addr,
)
_mock.reset_mock()
if i < 0x10020:
prot.send_sd([entry])
_mock.sendto.assert_called_once_with(
pack_sd((entry,), session_id=i & 0xFFFF, reboot=i < 0x10000),
self.multi_addr,
)
_mock.reset_mock()
if i % 64 == 0:
# yield to event loop every couple iterations
await settle()
async def test_no_send_empty_sd(self):
prot = sd.ServiceDiscoveryProtocol(self.multi_addr)
_mock = prot.transport = unittest.mock.Mock()
prot.send_sd([])
_mock.assert_not_called()
@unittest.mock.patch("someip.sd.ServiceAnnouncer", spec_set=True)
@unittest.mock.patch("someip.sd.ServiceSubscriber", spec_set=True)
@unittest.mock.patch("someip.sd.ServiceDiscover", spec_set=True)
async def test_sd_connection_lost(self, discover, subscribe, announce):
prot = sd.ServiceDiscoveryProtocol(self.multi_addr)
await settle()
self.assertEqual(discover().method_calls, [])
self.assertEqual(subscribe().method_calls, [])
self.assertEqual(announce().method_calls, [])
sentinel = object()
with self.assertLogs("someip.sd", "ERROR") as cm:
prot.connection_lost(sentinel)
await settle()
self.assertTrue(any("connection lost" in msg for msg in cm.output))
self.assertEqual(
discover().method_calls, [unittest.mock.call.connection_lost(sentinel)]
)
self.assertEqual(
subscribe().method_calls, [unittest.mock.call.connection_lost(sentinel)]
)
self.assertEqual(
announce().method_calls, [unittest.mock.call.connection_lost(sentinel)]
)
discover().reset_mock()
subscribe().reset_mock()
announce().reset_mock()
await settle()
self.assertEqual(discover().method_calls, [])
self.assertEqual(subscribe().method_calls, [])
self.assertEqual(announce().method_calls, [])
@unittest.mock.patch("someip.sd.ServiceAnnouncer", spec_set=True)
@unittest.mock.patch("someip.sd.ServiceSubscriber", spec_set=True)
@unittest.mock.patch("someip.sd.ServiceDiscover", spec_set=True)
async def test_sd_reboot(self, discover, subscribe, announce):
prot = sd.ServiceDiscoveryProtocol(self.multi_addr)
prot.datagram_received(
pack_sd((), session_id=1, reboot=True), self.fake_addr, multicast=True
)
await settle()
self.assertEqual(discover().method_calls, [])
self.assertEqual(subscribe().method_calls, [])
self.assertEqual(announce().method_calls, [])
prot.datagram_received(
pack_sd((), session_id=2, reboot=True), self.fake_addr, multicast=True
)
await settle()
self.assertEqual(discover().method_calls, [])
self.assertEqual(subscribe().method_calls, [])
self.assertEqual(announce().method_calls, [])
prot.datagram_received(
pack_sd((), session_id=1, reboot=False), self.fake_addr, multicast=True
)
await settle()
self.assertEqual(discover().method_calls, [])
self.assertEqual(subscribe().method_calls, [])
self.assertEqual(announce().method_calls, [])
prot.datagram_received(
pack_sd((), session_id=2, reboot=True), self.fake_addr, multicast=True
)
await settle()
self.assertEqual(
discover().method_calls,
[unittest.mock.call.reboot_detected(self.fake_addr)],
)
self.assertEqual(
subscribe().method_calls,
[unittest.mock.call.reboot_detected(self.fake_addr)],
)
self.assertEqual(
announce().method_calls,
[unittest.mock.call.reboot_detected(self.fake_addr)],
)
discover().reset_mock()
subscribe().reset_mock()
announce().reset_mock()
prot.datagram_received(
pack_sd((), session_id=1, reboot=False), self.fake_addr, multicast=True
)
await settle()
self.assertEqual(discover().method_calls, [])
self.assertEqual(subscribe().method_calls, [])
self.assertEqual(announce().method_calls, [])
@unittest.mock.patch("someip.sd.ServiceAnnouncer", spec_set=True)
@unittest.mock.patch("someip.sd.ServiceSubscriber", spec_set=True)
@unittest.mock.patch("someip.sd.ServiceDiscover", spec_set=True)
async def test_sd_malformed(self, discover, subscribe, announce):
prot = sd.ServiceDiscoveryProtocol(self.multi_addr)
msg = hdr.SOMEIPHeader(
service_id=hdr.SD_SERVICE,
method_id=hdr.SD_METHOD,
client_id=0,
session_id=1,
interface_version=hdr.SD_INTERFACE_VERSION,
message_type=hdr.SOMEIPMessageType.NOTIFICATION,
payload=b"deadbeef",
)
prot.sd_message_received = unittest.mock.Mock()
with self.assertLogs("someip", "ERROR"):
prot.datagram_received(msg.build(), self.fake_addr, multicast=False)
prot.sd_message_received.assert_not_called()
payload = (
b"\x40\x00\x00\x00"
b"\x00\x00\x00\x30"
b"\x06\x00\x00\x00\x88\x99\x66\x77\xEE\x00\x00\x00\x00\x00\x00\x10"
b"\x01\x00\x00\x00\x55\x66\x77\x88\x99\x00\x00\x00\xde\xad\xbe\xef"
b"\x01\x00\x00\x00\x55\x67\x77\x88\x99\x00\x00\x00\xde\xad\xbe\xef"
b"\x00\x00\x00\x00"
)
msg = replace(msg, payload=payload)
with self.assertLogs("someip", "ERROR"):
prot.datagram_received(
replace(msg, service_id=0x1234).build(),
self.fake_addr,
multicast=False,
)
prot.sd_message_received.assert_not_called()
with self.assertLogs("someip", "ERROR"):
prot.datagram_received(
replace(msg, method_id=0x1234).build(),
self.fake_addr,
multicast=False,
)
prot.sd_message_received.assert_not_called()
with self.assertLogs("someip", "ERROR"):
prot.datagram_received(
replace(msg, interface_version=12).build(),
self.fake_addr,
multicast=False,
)
prot.sd_message_received.assert_not_called()
with self.assertLogs("someip", "ERROR"):
prot.datagram_received(
replace(msg, message_type=hdr.SOMEIPMessageType.REQUEST).build(),
self.fake_addr,
multicast=False,
)
prot.sd_message_received.assert_not_called()
with self.assertLogs("someip", "ERROR"):
prot.datagram_received(
replace(msg, return_code=hdr.SOMEIPReturnCode.E_NOT_OK).build(),
self.fake_addr,
multicast=False,
)
prot.sd_message_received.assert_not_called()
self.assertEqual(discover().method_calls, [])
self.assertEqual(subscribe().method_calls, [])
self.assertEqual(announce().method_calls, [])
@unittest.mock.patch("someip.sd.ServiceAnnouncer", spec_set=True)
@unittest.mock.patch("someip.sd.ServiceSubscriber", spec_set=True)
@unittest.mock.patch("someip.sd.ServiceDiscover", spec_set=True)
async def test_sd_entries(self, discover, subscribe, announce):
prot = sd.ServiceDiscoveryProtocol(self.multi_addr)
find_entry = hdr.SOMEIPSDEntry(
sd_type=hdr.SOMEIPSDEntryType.FindService,
service_id=0x5566,
instance_id=0xFFFF,
major_version=0xFF,
ttl=5,
minver_or_counter=0xFFFFFFFF,
)
offer_entry = hdr.SOMEIPSDEntry(
sd_type=hdr.SOMEIPSDEntryType.OfferService,
service_id=0x1111,
instance_id=0x2222,
major_version=1,
ttl=0,
minver_or_counter=0xDEADBEEF,
options_1=(
hdr.IPv4EndpointOption(
address=ipaddress.IPv4Address("254.253.252.251"),
l4proto=hdr.L4Protocols.UDP,
port=65535,
),
),
)
subscribe_entry = hdr.SOMEIPSDEntry(
sd_type=hdr.SOMEIPSDEntryType.Subscribe,
service_id=0xAAAA,
instance_id=0xBBBB,
major_version=0xCC,
minver_or_counter=0x23333,
ttl=1,
options_1=(
hdr.IPv6EndpointOption(
ipaddress.IPv6Address("2001:db8::2"),
port=1,
l4proto=hdr.L4Protocols.UDP,
),
),
options_2=(hdr.SOMEIPSDConfigOption(configs=(("foo", "bar"),)),),
)
entries = (
find_entry,
offer_entry,
subscribe_entry,
)
prot.datagram_received(pack_sd(entries), self.fake_addr, multicast=False)
await settle()
self.assertEqual(subscribe().method_calls, [])
self.assertEqual(
discover().method_calls,
[unittest.mock.call.handle_offer(offer_entry, self.fake_addr)],
)
self.assertCountEqual(
announce().method_calls,
[
unittest.mock.call.handle_findservice(
find_entry, self.fake_addr, False, True
),
unittest.mock.call.handle_subscribe(subscribe_entry, self.fake_addr),
],
)
discover().reset_mock()
subscribe().reset_mock()
announce().reset_mock()
with self.assertLogs("someip.sd", "WARNING") as cm:
prot.datagram_received(pack_sd(entries), self.fake_addr, multicast=True)
await settle()
self.assertTrue(any("received over multicast" in msg for msg in cm.output))
self.assertEqual(subscribe().method_calls, [])
self.assertEqual(
discover().method_calls,
[unittest.mock.call.handle_offer(offer_entry, self.fake_addr)],
)
self.assertEqual(
announce().method_calls,
[
unittest.mock.call.handle_findservice(
find_entry, self.fake_addr, True, True
),
],
)
async def test_sd_multicast_bad_af(self):
with self.assertRaises(ValueError):
await sd.ServiceDiscoveryProtocol.create_endpoints(
family=socket.AF_IPX,
local_addr="127.0.0.1",
multicast_addr="224.244.224.245",
port=30490,
multicast_interface="lo",
)
async def test_sd_multicast_bad_mc_addr(self):
with self.assertRaises(ValueError):
await sd.ServiceDiscoveryProtocol.create_endpoints(
family=socket.AF_INET,
local_addr="127.0.0.1",
multicast_addr="127.0.0.1",
port=30490,
multicast_interface="lo",
)
async def test_sd_multicast_ipv6_missing_if(self):
with self.assertRaises(ValueError):
await sd.ServiceDiscoveryProtocol.create_endpoints(
family=socket.AF_INET6,
local_addr="::1",
multicast_addr="ff02::dead:beef%lo",
port=30490,
)
# {{{ ServiceDiscover OfferService
class _BaseSDDiscoveryTest(unittest.IsolatedAsyncioTestCase):
multi_addr = ("2001:db8::1", 30490, 0, 0)
fake_addr = ("2001:db8::2", 30490, 0, 0)
TTL = sd.TTL_FOREVER
async def asyncSetUp(self): # noqa: N802
mock_sd = unittest.mock.Mock(spec_set=["timings", "log", "send_sd"])
mock_sd.timings = sd.Timings()
mock_sd.log = logging.getLogger("someip.sd")
self._mock_send_sd = mock_sd.send_sd = unittest.mock.Mock()
self.prot = sd.ServiceDiscover(mock_sd)
self.offer_5566 = hdr.SOMEIPSDEntry(
sd_type=hdr.SOMEIPSDEntryType.OfferService,
service_id=0x5566,
instance_id=0x7788,
major_version=1,
ttl=self.TTL,
minver_or_counter=0xDEADBEEF,
options_1=(
hdr.IPv4EndpointOption(
address=ipaddress.IPv4Address("254.253.252.251"),
l4proto=hdr.L4Protocols.UDP,
port=65535,
),
),
)
self.offer_5567 = replace(self.offer_5566, service_id=0x5567)
self.cfg_offer_5566 = cfg.Service.from_offer_entry(self.offer_5566)
self.cfg_offer_5567 = cfg.Service.from_offer_entry(self.offer_5567)
self.stop_offer_5566 = replace(self.offer_5566, ttl=0)
self.mock = unittest.mock.Mock()
self.mock_single = unittest.mock.Mock()
self.prot.watch_all_services(self.mock)
self.prot.watch_service(cfg.Service(service_id=0x5566), self.mock_single)
self.prot.handle_offer(self.offer_5566, self.fake_addr)
self.prot.handle_offer(self.offer_5567, self.fake_addr)
await settle()
self.assertEqual(
self.mock.service_offered.call_args_list,
[
unittest.mock.call(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call(self.cfg_offer_5567, self.fake_addr),
],
)
self.mock_single.service_offered.assert_called_once_with(
self.cfg_offer_5566, self.fake_addr
)
self.mock.service_stopped.assert_not_called()
self.mock_single.service_stopped.assert_not_called()
await settle()
self.mock.reset_mock()
self.mock_single.reset_mock()
class TestSDDiscoveryTTLForever(_BaseSDDiscoveryTest):
TTL = sd.TTL_FOREVER
async def test_sd_reboot_ttl_forever(self):
self.prot.handle_offer(self.offer_5566, self.fake_addr)
self.prot.handle_offer(self.offer_5567, self.fake_addr)
await settle()
self.assertEqual(self.mock.method_calls, [])
self.assertEqual(self.mock_single.method_calls, [])
self.prot.reboot_detected(self.fake_addr)
await settle()
self.prot.handle_offer(self.offer_5566, self.fake_addr)
self.prot.handle_offer(self.offer_5567, self.fake_addr)
await settle()
self.assertCountEqual(
self.mock.method_calls[:2],
[
unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call.service_stopped(self.cfg_offer_5567, self.fake_addr),
],
)
self.assertEqual(
self.mock.method_calls[2:],
[
unittest.mock.call.service_offered(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call.service_offered(self.cfg_offer_5567, self.fake_addr),
],
)
self.assertEqual(
self.mock_single.method_calls,
[
unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call.service_offered(self.cfg_offer_5566, self.fake_addr),
],
)
# send stopoffer, should reach listener
self.mock.reset_mock()
self.mock_single.reset_mock()
self.prot.handle_offer(self.stop_offer_5566, self.fake_addr)
self.prot.handle_offer(self.offer_5567, self.fake_addr)
await settle()
self.assertEqual(
self.mock.method_calls,
[unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr)],
)
self.assertEqual(
self.mock_single.method_calls,
[unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr)],
)
async def test_sd_disconnect(self):
self.prot.connection_lost(None)
await settle()
self.assertCountEqual(
self.mock.method_calls,
[
unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call.service_stopped(self.cfg_offer_5567, self.fake_addr),
],
)
self.assertEqual(
self.mock_single.method_calls,
[unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr)],
)
async def test_sd_ignore(self):
self.prot.stop_watch_all_services(self.mock)
await settle()
self.assertCountEqual(
self.mock.method_calls,
[
unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call.service_stopped(self.cfg_offer_5567, self.fake_addr),
],
)
self.mock.reset_mock()
offer_7777 = replace(self.offer_5566, service_id=0x7777)
self.prot.handle_offer(offer_7777, self.fake_addr)
await settle()
self.assertEqual(self.mock.method_calls, [])
async def test_watch_all_while_running(self):
newmock = unittest.mock.Mock()
self.prot.watch_all_services(newmock)
await settle()
self.assertEqual(
newmock.service_offered.call_args_list,
[
unittest.mock.call(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call(self.cfg_offer_5567, self.fake_addr),
],
)
newmock.service_stopped.assert_not_called()
async def test_stop_watch_all(self):
self.prot.stop_watch_all_services(self.mock)
await settle()
self.assertEqual(
self.mock.service_stopped.call_args_list,
[
unittest.mock.call(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call(self.cfg_offer_5567, self.fake_addr),
],
)
self.mock.reset_mock()
offer_5568 = replace(self.offer_5566, service_id=0x5568)
self.prot.handle_offer(offer_5568, self.fake_addr)
await settle()
self.assertEqual(self.mock.method_calls, [])
async def test_stop_watch_single(self):
self.prot.stop_watch_service(cfg.Service(service_id=0x5566), self.mock_single)
await settle()
self.assertEqual(
self.mock_single.service_stopped.call_args_list,
[
unittest.mock.call(self.cfg_offer_5566, self.fake_addr),
],
)
self.mock_single.reset_mock()
# clear already known services to re-trigger callbacks
self.prot.found_services.stop_all()
await settle()
self.assertEqual(self.mock_single.method_calls, [])
# after found_services.stop_all(), new offer would trigger callbacks,
# but the listener is removed
self.prot.handle_offer(self.offer_5566, self.fake_addr)
await settle()
self.assertEqual(self.mock_single.method_calls, [])
async def test_watch_while_running(self):
self.prot.stop_watch_all_services(self.mock)
await settle()
newmock = unittest.mock.Mock()
self.prot.watch_service(cfg.Service(service_id=0x5566), newmock)
await settle()
self.assertEqual(
newmock.service_offered.call_args_list,
[unittest.mock.call(self.cfg_offer_5566, self.fake_addr)],
)
newmock.service_stopped.assert_not_called()
# 0x5567 was previously monitored from watch_all_services
# TTL is forever, so it's still in the found_services list
# so it will immediately trigger a service_offered callback
newmock = unittest.mock.Mock()
self.prot.watch_service(cfg.Service(service_id=0x5567), newmock)
await settle()
self.assertEqual(
newmock.service_offered.call_args_list,
[unittest.mock.call(self.cfg_offer_5567, self.fake_addr)],
)
newmock.service_stopped.assert_not_called()
class TestSDDiscoveryTTL1(_BaseSDDiscoveryTest):
TTL = 1
async def test_sd_disconnect(self):
self.prot.connection_lost(None)
await settle()
self.assertCountEqual(
self.mock.method_calls,
[
unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call.service_stopped(self.cfg_offer_5567, self.fake_addr),
],
)
self.assertEqual(
self.mock_single.method_calls,
[unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr)],
)
async def test_sd_reboot(self):
self.prot.reboot_detected(self.fake_addr)
await settle()
self.prot.handle_offer(self.offer_5566, self.fake_addr)
self.prot.handle_offer(self.offer_5567, self.fake_addr)
await settle()
self.assertCountEqual(
self.mock.method_calls[:2],
[
unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call.service_stopped(self.cfg_offer_5567, self.fake_addr),
],
)
self.assertEqual(
self.mock.method_calls[2:],
[
unittest.mock.call.service_offered(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call.service_offered(self.cfg_offer_5567, self.fake_addr),
],
)
self.assertEqual(
self.mock_single.method_calls,
[
unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call.service_offered(self.cfg_offer_5566, self.fake_addr),
],
)
# wait for timeout of initial service, should not call service_stopped since
# it was removed by reboot detection
self.mock.reset_mock()
self.mock_single.reset_mock()
await asyncio.sleep(0.8)
self.assertEqual(self.mock.method_calls, [])
self.assertEqual(self.mock_single.method_calls, [])
async def test_sd(self):
self.prot.handle_offer(self.offer_5566, self.fake_addr)
self.prot.handle_offer(self.offer_5567, self.fake_addr)
await settle()
self.assertEqual(self.mock.method_calls, [])
self.assertEqual(self.mock_single.method_calls, [])
await asyncio.sleep(1.2)
self.assertCountEqual(
self.mock.method_calls,
[
unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call.service_stopped(self.cfg_offer_5567, self.fake_addr),
],
)
self.assertEqual(
self.mock_single.method_calls,
[unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr)],
)
self.mock.reset_mock()
self.mock_single.reset_mock()
self.prot.handle_offer(self.offer_5566, self.fake_addr)
self.prot.handle_offer(self.offer_5567, self.fake_addr)
await settle()
self.assertEqual(
self.mock.method_calls,
[
unittest.mock.call.service_offered(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call.service_offered(self.cfg_offer_5567, self.fake_addr),
],
)
self.assertEqual(
self.mock_single.method_calls,
[unittest.mock.call.service_offered(self.cfg_offer_5566, self.fake_addr)],
)
self.mock.reset_mock()
self.mock_single.reset_mock()
await asyncio.sleep(1.2)
self.assertCountEqual(
self.mock.method_calls,
[
unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call.service_stopped(self.cfg_offer_5567, self.fake_addr),
],
)
self.assertEqual(
self.mock_single.method_calls,
[unittest.mock.call.service_stopped(self.cfg_offer_5566, self.fake_addr)],
)
# service already removed by timeout detection above.
# send stopoffer again, should not reach listener
self.mock.reset_mock()
self.mock_single.reset_mock()
self.prot.handle_offer(self.stop_offer_5566, self.fake_addr)
self.prot.handle_offer(self.offer_5567, self.fake_addr)
await settle()
self.assertEqual(
self.mock.method_calls,
[unittest.mock.call.service_offered(self.cfg_offer_5567, self.fake_addr)],
)
self.assertEqual(self.mock_single.method_calls, [])
async def test_watch_all_while_running(self):
newmock = unittest.mock.Mock()
self.prot.watch_all_services(newmock)
await settle()
self.assertEqual(
newmock.service_offered.call_args_list,
[
unittest.mock.call(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call(self.cfg_offer_5567, self.fake_addr),
],
)
newmock.service_stopped.assert_not_called()
async def test_stop_watch_all(self):
self.prot.stop_watch_all_services(self.mock)
await settle()
self.assertEqual(
self.mock.service_stopped.call_args_list,
[
unittest.mock.call(self.cfg_offer_5566, self.fake_addr),
unittest.mock.call(self.cfg_offer_5567, self.fake_addr),
],
)
self.mock.reset_mock()
# time out all offers
await asyncio.sleep(1.2)
offer_5568 = replace(self.offer_5566, service_id=0x5568)
self.prot.handle_offer(offer_5568, self.fake_addr)
self.prot.handle_offer(self.offer_5566, self.fake_addr)
await settle()
self.assertEqual(self.mock.method_calls, [])
async def test_stop_watch_single(self):
self.prot.stop_watch_service(cfg.Service(service_id=0x5566), self.mock_single)
await settle()
self.assertEqual(
self.mock_single.service_stopped.call_args_list,
[
unittest.mock.call(self.cfg_offer_5566, self.fake_addr),
],
)
self.mock_single.reset_mock()
# time out all offers
await asyncio.sleep(1.2)
self.assertEqual(self.mock_single.method_calls, [])
# after found_services.stop_all(), new offer would trigger callbacks,
# but the listener is removed
self.prot.handle_offer(self.offer_5566, self.fake_addr)
await settle()
self.assertEqual(self.mock_single.method_calls, [])
async def test_watch_while_running(self):
self.prot.stop_watch_all_services(self.mock)
await settle()
# 0x5566 is still monitored from watch_service(0x5566)
newmock = unittest.mock.Mock()
self.prot.watch_service(cfg.Service(service_id=0x5566), newmock)
await settle()
self.assertEqual(
newmock.service_offered.call_args_list,
[unittest.mock.call(self.cfg_offer_5566, self.fake_addr)],
)
newmock.service_stopped.assert_not_called()
# 0x5567 is not monitored since stop_watch_all_services()
# TTL is 1, therefore the service will expire from found_services
await asyncio.sleep(0.6)
self.prot.handle_offer(self.offer_5567, self.fake_addr)
await asyncio.sleep(0.6)
self.prot.handle_offer(self.offer_5567, self.fake_addr)
await settle()
newmock = unittest.mock.Mock()
self.prot.watch_service(cfg.Service(service_id=0x5567), newmock)
await settle()
newmock.service_offered.assert_not_called()
newmock.service_stopped.assert_not_called()
self.prot.handle_offer(self.offer_5567, self.fake_addr)
await settle()
self.assertEqual(
newmock.service_offered.call_args_list,
[unittest.mock.call(self.cfg_offer_5567, self.fake_addr)],
)
# }}}
# {{{ ServiceDiscover FindService
class TestSDFind(unittest.IsolatedAsyncioTestCase, _SendTiming):
multi_addr = ("2001:db8::1", 30490, 0, 0)
fake_addr = ("2001:db8::2", 30490, 0, 0)
async def asyncSetUp(self): # noqa: N802
mock_sd = unittest.mock.Mock(
spec_set=["timings", "log", "send_sd", "subscriber"]
)
mock_sd.timings = sd.Timings(
INITIAL_DELAY_MIN=ticks(2),
INITIAL_DELAY_MAX=ticks(2),
REPETITIONS_BASE_DELAY=ticks(1),
REPETITIONS_MAX=3,
FIND_TTL=5,
)
mock_sd.log = logging.getLogger("someip.sd")
self._mock_send_sd = mock_sd.send_sd = unittest.mock.Mock()
self._mock_subscribe_start = mock_sd.subscriber.subscribe_eventgroup
self._mock_subscribe_stop = mock_sd.subscriber.stop_subscribe_eventgroup
self.prot = sd.ServiceDiscover(mock_sd)
self.setup_timing(
self._mock_send_sd, self._mock_subscribe_start, self._mock_subscribe_stop
)
async def test_send_find(self):
mock = unittest.mock.Mock()
self.prot.watch_service(cfg.Service(service_id=0x5566), mock)
await self.prot.send_find_services()
find_5566 = hdr.SOMEIPSDEntry(
sd_type=hdr.SOMEIPSDEntryType.FindService,
service_id=0x5566,
instance_id=0xFFFF,
major_version=0xFF,
ttl=5,
minver_or_counter=0xFFFFFFFF,
)
self.assertTiming(
(2, self._mock_send_sd, unittest.mock.call([find_5566])),
(3, self._mock_send_sd, unittest.mock.call([find_5566])),
(5, self._mock_send_sd, unittest.mock.call([find_5566])),
(9, self._mock_send_sd, unittest.mock.call([find_5566])),
)
async def test_send_no_finds_after_early_offer(self):
mock = unittest.mock.Mock()
self.prot.watch_service(cfg.Service(service_id=0x5566), mock)
t = asyncio.create_task(self.prot.send_find_services())
await asyncio.sleep(ticks(2))
data = hdr.SOMEIPSDEntry(
sd_type=hdr.SOMEIPSDEntryType.OfferService,
service_id=0x5566,
instance_id=0x7788,
major_version=1,
ttl=1,
minver_or_counter=0xDEADBEEF,
options_1=(
hdr.IPv4EndpointOption(
address=ipaddress.IPv4Address("254.253.252.251"),
l4proto=hdr.L4Protocols.UDP,
port=65535,
),
),
)
self.prot.handle_offer(data, self.fake_addr)
await t
self.assertTiming()
async def test_send_no_finds_after_late_offer(self):
mock = unittest.mock.Mock()
self.prot.watch_service(cfg.Service(service_id=0x5566), mock)
t = asyncio.create_task(self.prot.send_find_services())
await asyncio.sleep(ticks(3.5))
data = hdr.SOMEIPSDEntry(
sd_type=hdr.SOMEIPSDEntryType.OfferService,
service_id=0x5566,
instance_id=0x7788,
major_version=1,
ttl=1,
minver_or_counter=0xDEADBEEF,
options_1=(
hdr.IPv4EndpointOption(
address=ipaddress.IPv4Address("254.253.252.251"),
l4proto=hdr.L4Protocols.UDP,
port=65535,
),
),
)
self.prot.handle_offer(data, self.fake_addr)
await t
find_5566 = hdr.SOMEIPSDEntry(
sd_type=hdr.SOMEIPSDEntryType.FindService,
service_id=0x5566,
instance_id=0xFFFF,
major_version=0xFF,
ttl=5,
minver_or_counter=0xFFFFFFFF,
)
self.assertTiming(
(2, self._mock_send_sd, unittest.mock.call([find_5566])),
(3, self._mock_send_sd, unittest.mock.call([find_5566])),
)
async def test_send_no_finds(self):
await self.prot.send_find_services()
self.assertTiming()
async def test_send_multiple_services_one_offer_early(self):
mock = unittest.mock.Mock()
self.prot.watch_service(cfg.Service(service_id=0x5566), mock)
self.prot.watch_service(cfg.Service(service_id=0x4433), mock)
t = asyncio.create_task(self.prot.send_find_services())
await asyncio.sleep(ticks(0.2))
data = hdr.SOMEIPSDEntry(
sd_type=hdr.SOMEIPSDEntryType.OfferService,
service_id=0x4433,
instance_id=0x7788,
major_version=1,
ttl=int(ticks(10)),
minver_or_counter=0xDEADBEEF,
options_1=(
hdr.IPv4EndpointOption(
address=ipaddress.IPv4Address("254.253.252.251"),
l4proto=hdr.L4Protocols.UDP,
port=65535,
),
),
)
self.prot.handle_offer(data, self.fake_addr)
await t
find_5566 = hdr.SOMEIPSDEntry(
sd_type=hdr.SOMEIPSDEntryType.FindService,
service_id=0x5566,
instance_id=0xFFFF,
major_version=0xFF,
ttl=5,
minver_or_counter=0xFFFFFFFF,
)
self.assertTiming(
(2, self._mock_send_sd, unittest.mock.call([find_5566])),
(3, self._mock_send_sd, unittest.mock.call([find_5566])),
(5, self._mock_send_sd, unittest.mock.call([find_5566])),
(9, self._mock_send_sd, unittest.mock.call([find_5566])),
)
async def test_find_subscribe(self):
local_addr = ("2001:db8::1111", 3333, 0, 0)
cfg_eventgroup = cfg.Eventgroup(
service_id=0x5566,
instance_id=0xFFFF,
major_version=0xFF,
eventgroup_id=0x0000AAAA,
sockname=local_addr,
protocol=hdr.L4Protocols.UDP,
)
self.prot.find_subscribe_eventgroup(cfg_eventgroup)
t = asyncio.create_task(self.prot.send_find_services())
await asyncio.sleep(ticks(2.5))
data = hdr.SOMEIPSDEntry(
sd_type=hdr.SOMEIPSDEntryType.OfferService,
service_id=0x5566,
instance_id=0x7788,
major_version=1,
ttl=ticks(10),
minver_or_counter=0xDEADBEEF,
options_1=(
hdr.IPv4EndpointOption(
address=ipaddress.IPv4Address("254.253.252.251"),
l4proto=hdr.L4Protocols.UDP,
port=65535,
),
),
)
self.prot.handle_offer(data, self.fake_addr)
# let offer time out
await asyncio.sleep(ticks(10.1))
await t
find = hdr.SOMEIPSDEntry(
sd_type=hdr.SOMEIPSDEntryType.FindService,
service_id=0x5566,
instance_id=0xFFFF,
major_version=0xFF,
ttl=5,
minver_or_counter=0xFFFFFFFF,
)
evgrp = cfg.Eventgroup(
service_id=0x5566,
instance_id=0x7788,
major_version=1,
eventgroup_id=0x0000AAAA,
sockname=local_addr,
protocol=hdr.L4Protocols.UDP,
)
self.prot.handle_offer(data, self.fake_addr)
await asyncio.sleep(ticks(2))
self.prot.stop_find_subscribe_eventgroup(cfg_eventgroup)
await asyncio.sleep(ticks(1))
self.assertTiming(
(2, self._mock_send_sd, unittest.mock.call([find])),
(
2.5,
self._mock_subscribe_start,
unittest.mock.call(evgrp, self.fake_addr),
),
(
12.5,
self._mock_subscribe_stop,
unittest.mock.call(evgrp, self.fake_addr),
),
(
12.5,
self._mock_subscribe_start,
unittest.mock.call(evgrp, self.fake_addr),
),
(
14.5,
self._mock_subscribe_stop,
unittest.mock.call(evgrp, self.fake_addr),
),
)
# }}}
# {{{ ServiceSubscriber Eventgroup Client subscribe / stop subscribe
class TestSubscribeEventgroup(unittest.IsolatedAsyncioTestCase):
local_addr = ("2001:db8::ff", 30331, 0, 0)
remote1_addr = ("2001:db8::1", 30332, 0, 0)
remote2_addr = ("2001:db8::2", 30337, 0, 0)
maxDiff: typing.Optional[int] = None
TTL = typing.ClassVar[int]
REFRESH_INTERVAL = typing.ClassVar[float]
async def asyncSetUp(self): # noqa: N802
mock_sd = unittest.mock.Mock(spec_set=["timings", "log", "send_sd"])
mock_sd.timings = sd.Timings(
SUBSCRIBE_TTL=self.TTL, SUBSCRIBE_REFRESH_INTERVAL=self.REFRESH_INTERVAL
)
mock_sd.log = logging.getLogger("someip.sd")
mock_sd.send_sd = unittest.mock.Mock()
self._mock_send_sd = mock_sd.send_sd
self.prot = sd.ServiceSubscriber(mock_sd)
self.evgrp_1 = cfg.Eventgroup(
service_id=0x1111,
instance_id=0x4444,
major_version=0x66,
eventgroup_id=0xCCDD,
sockname=self.local_addr,
protocol=hdr.L4Protocols.UDP,
)
self.sub_evgrp_1 = self.evgrp_1.create_subscribe_entry(self.TTL or 0xFFFFFF)
self.stop_sub_evgrp_1 = self.evgrp_1.create_subscribe_entry(0)
self.evgrp_2 = cfg.Eventgroup(
service_id=0x2222,
instance_id=0x5555,
major_version=0x66,
eventgroup_id=0xCCDD,
sockname=self.local_addr,
protocol=hdr.L4Protocols.UDP,
)
self.sub_evgrp_2 = self.evgrp_2.create_subscribe_entry(self.TTL or 0xFFFFFF)
self.stop_sub_evgrp_2 = self.evgrp_2.create_subscribe_entry(0)
self.evgrp_3 = cfg.Eventgroup(
service_id=0x3333,
instance_id=0x6666,
major_version=0x77,
eventgroup_id=0xAABB,
sockname=self.local_addr,
protocol=hdr.L4Protocols.UDP,
)
self.sub_evgrp_3 = self.evgrp_3.create_subscribe_entry(self.TTL or 0xFFFFFF)
self.stop_sub_evgrp_3 = self.evgrp_3.create_subscribe_entry(0)
class TestSubscribeEventgroupTTL3(TestSubscribeEventgroup):
TTL = 3
REFRESH_INTERVAL = 1
async def test_subscribe(self):
self.prot.subscribe_eventgroup(self.evgrp_1, self.remote1_addr)
self.prot.subscribe_eventgroup(self.evgrp_2, self.remote2_addr)
self.prot.start()
await settle()
self.assertCountEqual(
self._mock_send_sd.call_args_list,
(
unittest.mock.call([self.sub_evgrp_1], remote=self.remote1_addr),
unittest.mock.call([self.sub_evgrp_2], remote=self.remote2_addr),
),
)
self._mock_send_sd.reset_mock()
# add new eventgroup, show subscription in next cycle
self.prot.subscribe_eventgroup(self.evgrp_3, self.remote1_addr)
await asyncio.sleep(0.1)
self.assertCountEqual(
self._mock_send_sd.call_args_list,
(unittest.mock.call([self.sub_evgrp_3], remote=self.remote1_addr),),
)
self._mock_send_sd.reset_mock()
# wait one refresh cycle
await asyncio.sleep(1)
self.assertCountEqual(
self._mock_send_sd.call_args_list,
(
unittest.mock.call(
[self.sub_evgrp_1, self.sub_evgrp_3],
remote=self.remote1_addr,
),
unittest.mock.call([self.sub_evgrp_2], remote=self.remote2_addr),
),
)
self._mock_send_sd.reset_mock()
# remove eventgroup, send stop subscribe
self.prot.stop_subscribe_eventgroup(self.evgrp_1, self.remote1_addr)
await settle()
self._mock_send_sd.assert_called_once_with(
[self.stop_sub_evgrp_1],
remote=self.remote1_addr,
)
self._mock_send_sd.reset_mock()
# remove eventgroup again => don't send stop again
self.prot.stop_subscribe_eventgroup(self.evgrp_1, self.remote1_addr)
await settle()
self._mock_send_sd.assert_not_called()
self._mock_send_sd.reset_mock()
# show changed subscription messages after stop
await asyncio.sleep(1)
self.assertCountEqual(
self._mock_send_sd.call_args_list,
(
unittest.mock.call([self.sub_evgrp_3], remote=self.remote1_addr),
unittest.mock.call([self.sub_evgrp_2], remote=self.remote2_addr),
),
)
self._mock_send_sd.reset_mock()
# remove last eventgroup of endpoint, send stop subscribe
self.prot.stop_subscribe_eventgroup(self.evgrp_3, self.remote1_addr, send=False)
await settle()
self._mock_send_sd.assert_not_called()
self._mock_send_sd.reset_mock()
# show changed subscription messages after stop
await asyncio.sleep(1)
self._mock_send_sd.assert_called_once_with(
[self.sub_evgrp_2],
remote=self.remote2_addr,
)
self._mock_send_sd.reset_mock()
class TestSubscribeEventgroupTTLForever(TestSubscribeEventgroup):
TTL = sd.TTL_FOREVER
REFRESH_INTERVAL = None
async def test_subscribe(self):
self.prot.subscribe_eventgroup(self.evgrp_1, self.remote1_addr)
self.prot.subscribe_eventgroup(self.evgrp_2, self.remote2_addr)
self.prot.start()
await settle()
self.assertCountEqual(
self._mock_send_sd.call_args_list,
(
unittest.mock.call([self.sub_evgrp_1], remote=self.remote1_addr),
unittest.mock.call([self.sub_evgrp_2], remote=self.remote2_addr),
),
)
self._mock_send_sd.reset_mock()
self.prot.subscribe_eventgroup(self.evgrp_3, self.remote1_addr)
await settle()
self._mock_send_sd.assert_called_once_with(
[self.sub_evgrp_3],
remote=self.remote1_addr,
)
async def test_sd_stop_send_stop(self):
self.prot.subscribe_eventgroup(self.evgrp_1, self.remote1_addr)
self.prot.start()
await settle()
self._mock_send_sd.assert_called_once_with(
[self.sub_evgrp_1],
remote=self.remote1_addr,
)
self._mock_send_sd.reset_mock()
self.prot.stop()
await settle()
self._mock_send_sd.assert_called_once_with(
[self.stop_sub_evgrp_1],
remote=self.remote1_addr,
)
async def test_sd_stop_no_send_stop(self):
self.prot.subscribe_eventgroup(self.evgrp_1, self.remote1_addr)
self.prot.start()
await settle()
self._mock_send_sd.assert_called_once_with(
[self.sub_evgrp_1],
remote=self.remote1_addr,
)
self._mock_send_sd.reset_mock()
self.prot.stop(send_stop_subscribe=False)
await settle()
self._mock_send_sd.assert_not_called()
# }}}
# {{{ ServiceAnnouncer
class TestSDAnnounce(unittest.IsolatedAsyncioTestCase, _SendTiming):
multi_addr = ("2001:db8::1", 30490, 0, 0)
fake_addr = ("2001:db8::2", 30490, 0, 0)
async def asyncSetUp(self): # noqa: N802
mock_sd = unittest.mock.Mock(spec_set=["timings", "log", "send_sd"])
ttl_ticks = ticks(30)
assert ttl_ticks.is_integer()
self.TTL = int(ttl_ticks)
mock_sd.timings = sd.Timings(
INITIAL_DELAY_MIN=ticks(1),
INITIAL_DELAY_MAX=ticks(1),
CYCLIC_OFFER_DELAY=ticks(20),
ANNOUNCE_TTL=self.TTL,
REPETITIONS_MAX=0,
REPETITIONS_BASE_DELAY=ticks(1),
REQUEST_RESPONSE_DELAY_MIN=0,
REQUEST_RESPONSE_DELAY_MAX=0,
)
mock_sd.log = logging.getLogger("someip.sd")
mock_sd.send_sd = unittest.mock.Mock()
self._mock_send_sd = mock_sd.send_sd
self.prot = sd.ServiceAnnouncer(mock_sd)
self.setup_timing(self._mock_send_sd)
self.ep_1 = hdr.IPv4EndpointOption(
address=ipaddress.IPv4Address("254.253.252.251"),
l4proto=hdr.L4Protocols.UDP,
port=30335,
)
self.ep_2 = hdr.IPv4EndpointOption(
address=ipaddress.IPv6Address("2001:db8::abcd:f00b"),
l4proto=hdr.L4Protocols.TCP,
port=30330,
)
self.cfg_service_5566 = cfg.Service(
service_id=0x5566,
instance_id=0x7788,
major_version=12,
minor_version=345,
options_1=(self.ep_1,),
)
self.cfg_service_2233 = cfg.Service(
service_id=0x2233,
instance_id=0x0001,
major_version=1,
minor_version=0,
options_1=(self.ep_2,),
)
self.cfg_service_9999 = cfg.Service(
service_id=0x9999,
)
self.listener_5566 = unittest.mock.Mock()
self.listener_2233 = unittest.mock.Mock()
self.prot.announce_service(self.cfg_service_5566, self.listener_5566)
self.prot.announce_service(self.cfg_service_2233, self.listener_2233)
async def test_announce_non_cyclic(self):
self.prot.timings.REPETITIONS_MAX = 2
self.prot.timings.CYCLIC_OFFER_DELAY = 0
self.prot.start()
with self.assertLogs("someip.sd.announce", "WARNING") as cm:
await asyncio.sleep(ticks(13))
self.prot.stop()
self.assertTrue(any("CYCLIC_OFFER_DELAY" in msg for msg in cm.output))
call = unittest.mock.call(
[
self.cfg_service_5566.create_offer_entry(self.TTL),
self.cfg_service_2233.create_offer_entry(self.TTL),
],
remote=None,
)
self.assertTiming(
(1, self._mock_send_sd, call),
(2, self._mock_send_sd, call),
(4, self._mock_send_sd, call),
)
self.reset_mock()
await asyncio.sleep(ticks(0.01))
self._mock_send_sd.assert_called_once_with(
[
self.cfg_service_5566.create_offer_entry(0),
self.cfg_service_2233.create_offer_entry(0),
],
remote=None,
)
async def test_announce_cyclic(self):
self.prot.timings.REPETITIONS_MAX = 3
self.prot.timings.CYCLIC_OFFER_DELAY = ticks(2)
self.prot.start()
await asyncio.sleep(ticks(13))
self.prot.stop()
call = unittest.mock.call(
[
self.cfg_service_5566.create_offer_entry(self.TTL),
self.cfg_service_2233.create_offer_entry(self.TTL),
],
remote=None,
)
self.assertTiming(
(1, self._mock_send_sd, call),
(2, self._mock_send_sd, call),
(4, self._mock_send_sd, call),
(8, self._mock_send_sd, call),
(10, self._mock_send_sd, call),
(12, self._mock_send_sd, call),
)
self.reset_mock()
await asyncio.sleep(ticks(0.01))
self._mock_send_sd.assert_called_once_with(
[
self.cfg_service_5566.create_offer_entry(0),
self.cfg_service_2233.create_offer_entry(0),
],
remote=None,
)
async def test_announce_stop_initial(self):
self.prot.timings.REPETITIONS_MAX = 3
self.prot.timings.CYCLIC_OFFER_DELAY = ticks(2)
self.prot.start()
# sleep until just before end of initial wait phase
await asyncio.sleep(ticks(0.9))
self.prot.stop()
await asyncio.sleep(ticks(0.01))
self.assertTiming()
async def test_find_service_initial(self):
data = self.cfg_service_5566.create_find_entry(self.TTL)
await self.prot.handle_findservice(
data, self.fake_addr, received_over_multicast=True, unicast_supported=True
)
self.assertTiming()
self.prot.start()
# sleep until middle of initial wait phase
await self.prot.handle_findservice(
data, self.fake_addr, received_over_multicast=True, unicast_supported=True
)
await asyncio.sleep(ticks(0.5))
self.prot.stop()
self.assertTiming()
async def test_find_service_unknown(self):
self.prot.start()
await asyncio.sleep(ticks(0.01))
self.reset_mock()
data = self.cfg_service_9999.create_find_entry()
await self.prot.handle_findservice(
data, self.fake_addr, received_over_multicast=True, unicast_supported=True
)
self.prot.stop()
self.assertTiming()
async def test_find_service_known_answer_unicast(self):
self.prot.timings.INITIAL_DELAY_MIN = self.prot.timings.INITIAL_DELAY_MAX = 0
self.prot.timings.REQUEST_RESPONSE_DELAY_MIN = ticks(1)
self.prot.timings.REQUEST_RESPONSE_DELAY_MAX = ticks(1)
self.prot.start()
await asyncio.sleep(ticks(1))
self.reset_mock()
await self.prot.handle_findservice(
self.cfg_service_5566.create_find_entry(),
self.fake_addr,
received_over_multicast=True,
unicast_supported=True,
)
await self.prot.handle_findservice(
self.cfg_service_9999.create_find_entry(),
self.fake_addr,
received_over_multicast=True,
unicast_supported=True,
)
self.prot.stop()
self.assertTiming(
(
2,
self._mock_send_sd,
unittest.mock.call(
[self.cfg_service_5566.create_offer_entry(self.TTL)],
remote=self.fake_addr,
),
),
)
async def test_find_service_known_request_unicast_no_delay(self):
self.prot.timings.INITIAL_DELAY_MIN = self.prot.timings.INITIAL_DELAY_MAX = 0
self.prot.timings.REQUEST_RESPONSE_DELAY_MIN = ticks(1)
self.prot.timings.REQUEST_RESPONSE_DELAY_MAX = ticks(1)
self.prot.start()
await asyncio.sleep(ticks(1))
self.reset_mock()
await self.prot.handle_findservice(
self.cfg_service_5566.create_find_entry(),
self.fake_addr,
received_over_multicast=False,
unicast_supported=True,
)
await self.prot.handle_findservice(
self.cfg_service_9999.create_find_entry(),
self.fake_addr,
received_over_multicast=False,
unicast_supported=True,
)
self.prot.stop()
self.assertTiming(
(
1,
self._mock_send_sd,
unittest.mock.call(
[self.cfg_service_5566.create_offer_entry(self.TTL)],
remote=self.fake_addr,
),
),
)
async def test_find_service_known_answer_multicast_supported(self):
self.prot.timings.INITIAL_DELAY_MIN = self.prot.timings.INITIAL_DELAY_MAX = 0
self.prot.timings.REQUEST_RESPONSE_DELAY_MIN = ticks(1)
self.prot.timings.REQUEST_RESPONSE_DELAY_MAX = ticks(1)
self.prot.start()
await asyncio.sleep(ticks(1))
self.reset_mock()
await self.prot.handle_findservice(
self.cfg_service_5566.create_find_entry(),
self.fake_addr,
received_over_multicast=True,
unicast_supported=False,
)
await self.prot.handle_findservice(
self.cfg_service_9999.create_find_entry(),
self.fake_addr,
received_over_multicast=True,
unicast_supported=False,
)
self.prot.stop()
self.assertTiming(
(
2,
self._mock_send_sd,
unittest.mock.call(
[self.cfg_service_5566.create_offer_entry(self.TTL)], remote=None
),
),
)
async def test_find_service_known_answer_multicast_delay(self):
self.prot.timings.INITIAL_DELAY_MIN = self.prot.timings.INITIAL_DELAY_MAX = 0
self.prot.timings.REQUEST_RESPONSE_DELAY_MIN = ticks(1)
self.prot.timings.REQUEST_RESPONSE_DELAY_MAX = ticks(1)
self.prot.start()
await asyncio.sleep(ticks(11.5))
self.reset_mock()
await self.prot.handle_findservice(
self.cfg_service_5566.create_find_entry(),
self.fake_addr,
received_over_multicast=True,
unicast_supported=True,
)
await self.prot.handle_findservice(
self.cfg_service_9999.create_find_entry(),
self.fake_addr,
received_over_multicast=True,
unicast_supported=True,
)
await asyncio.sleep(ticks(1.1))
self.prot.stop()
self.assertTiming(
(
12.5,
self._mock_send_sd,
unittest.mock.call(
[self.cfg_service_5566.create_offer_entry(self.TTL)], remote=None
),
),
)
async def test_announce_stop_single_service(self):
self.prot.timings.CYCLIC_OFFER_DELAY = ticks(1)
self.prot.start()
await asyncio.sleep(ticks(0.9))
self.reset_mock()
self.prot.stop_announce_service(self.cfg_service_5566, self.listener_5566)
await asyncio.sleep(ticks(0.01))
self.assertTiming(
(
0.9,
self._mock_send_sd,
unittest.mock.call(
[self.cfg_service_5566.create_offer_entry(0)], remote=None
),
),
)
self.reset_mock()
await asyncio.sleep(ticks(0.2))
self.assertTiming(
(
1.0,
self._mock_send_sd,
unittest.mock.call(
[self.cfg_service_2233.create_offer_entry(self.TTL)], remote=None
),
),
)
# }}}
# {{{ ServiceAnnouncer Server subscription handling
class _BaseSDSubscriptionTest(unittest.IsolatedAsyncioTestCase):
multi_addr = ("2001:db8::1", 30490, 0, 0)
fake_sd_addr = ("2001:db8::2", 30490, 0, 0)
fake_addr = ("2001:db8::2", 30321, 0, 0)
TTL: int
async def asyncSetUp(self): # noqa: N802
mock_sd = unittest.mock.Mock(spec_set=["timings", "log", "send_sd"])
mock_sd.timings = sd.Timings()
mock_sd.log = logging.getLogger("someip.sd")
mock_sd.send_sd = unittest.mock.Mock()
self._mock_send_sd = mock_sd.send_sd
self.prot = sd.ServiceAnnouncer(mock_sd)
self.cfg_5566 = cfg.Service(
service_id=0x5566,
instance_id=0x7788,
major_version=1,
minor_version=0,
eventgroups=(0x3333, 0x4444),
)
self.cfg_5567 = replace(self.cfg_5566, service_id=0x5567)
endpoint = hdr.IPv6EndpointOption(
ipaddress.IPv6Address(self.fake_addr[0]),
port=self.fake_addr[1],
l4proto=hdr.L4Protocols.UDP,
)
self.subscribe_5566_3333 = hdr.SOMEIPSDEntry(
sd_type=hdr.SOMEIPSDEntryType.Subscribe,
service_id=0x5566,
instance_id=0x7788,
major_version=1,
minver_or_counter=0x3333,
ttl=self.TTL,
options_1=(endpoint,),
options_2=(hdr.SOMEIPSDConfigOption(configs=(("foo", "bar"),)),),
)
self.subscribe_5566_1234 = replace(
self.subscribe_5566_3333, minver_or_counter=0x11234
)
self.subscription_5566_3333 = sd.EventgroupSubscription.from_subscribe_entry(
self.subscribe_5566_3333
)
self.ack_5566_3333 = self.subscription_5566_3333.to_ack_entry()
self.nack_5566_3333 = self.subscription_5566_3333.to_nack_entry()
self.nack_5566_1234 = replace(self.nack_5566_3333, minver_or_counter=0x11234)
self.stop_subscribe_5566_3333 = replace(self.subscribe_5566_3333, ttl=0)
self.mock = unittest.mock.Mock()
self.prot.announce_service(self.cfg_5566, self.mock._5566)
self.prot.announce_service(self.cfg_5567, self.mock._5567)
await self.prot.handle_subscribe(self.subscribe_5566_3333, self.fake_sd_addr)
await settle()
self._mock_send_sd.assert_called_once_with(
[self.ack_5566_3333], remote=self.fake_sd_addr
)
self.assertEqual(
self.mock.method_calls,
[
unittest.mock.call._5566.client_subscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
],
)
await settle()
self.reset_mock()
def reset_mock(self):
self.mock.reset_mock()
self._mock_send_sd.reset_mock()
async def _test_sd_reject_subscription(self):
self.mock._5566.client_subscribed.side_effect = sd.NakSubscription
await self.prot.handle_subscribe(
self.stop_subscribe_5566_3333, self.fake_sd_addr
)
await settle()
self.reset_mock()
await self.prot.handle_subscribe(self.subscribe_5566_3333, self.fake_sd_addr)
await settle()
self._mock_send_sd.assert_called_once_with(
[self.nack_5566_3333], remote=self.fake_sd_addr
)
self.assertEqual(
self.mock.method_calls,
[
unittest.mock.call._5566.client_subscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
],
)
self.reset_mock()
self.mock._5566.client_subscribed.side_effect = None
await self.prot.handle_subscribe(self.subscribe_5566_3333, self.fake_sd_addr)
await settle()
self._mock_send_sd.assert_called_once_with(
[self.ack_5566_3333], remote=self.fake_sd_addr
)
self.assertEqual(
self.mock.method_calls,
[
unittest.mock.call._5566.client_subscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
],
)
async def _test_sd_disconnect(self):
self.prot.connection_lost(None)
await settle()
self.assertEqual(
self.mock.method_calls,
[
unittest.mock.call._5566.client_unsubscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
],
)
async def _test_sd_stopping_service(self):
self.prot.stop_announce_service(self.cfg_5566, self.mock._5566)
await settle()
self.assertEqual(
self.mock.method_calls,
[
unittest.mock.call._5566.client_unsubscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
],
)
class TestSDSubscriptionTTLForever(_BaseSDSubscriptionTest):
TTL = sd.TTL_FOREVER
test_sd_reject_subscription = _BaseSDSubscriptionTest._test_sd_reject_subscription
test_sd_disconnect = _BaseSDSubscriptionTest._test_sd_disconnect
test_sd_stopping_service = _BaseSDSubscriptionTest._test_sd_stopping_service
async def test_sd_reboot_ttl_forever(self):
await self.prot.handle_subscribe(self.subscribe_5566_3333, self.fake_sd_addr)
await settle()
self._mock_send_sd.assert_called_once_with(
[self.ack_5566_3333], remote=self.fake_sd_addr
)
self.mock.assert_not_called()
self.reset_mock()
await self.prot.handle_subscribe(self.subscribe_5566_3333, self.fake_sd_addr)
await settle()
self._mock_send_sd.assert_called_once_with(
[self.ack_5566_3333], remote=self.fake_sd_addr
)
self.mock.assert_not_called()
self.reset_mock()
self.prot.reboot_detected(self.fake_sd_addr)
await settle()
await self.prot.handle_subscribe(self.subscribe_5566_3333, self.fake_sd_addr)
await settle()
self._mock_send_sd.assert_called_once_with(
[self.ack_5566_3333], remote=self.fake_sd_addr
)
self.assertEqual(
self.mock.method_calls,
[
unittest.mock.call._5566.client_unsubscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
unittest.mock.call._5566.client_subscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
],
)
self.reset_mock()
# send stopsubscribe, should reach listener
await self.prot.handle_subscribe(
self.stop_subscribe_5566_3333, self.fake_sd_addr
)
await settle()
self._mock_send_sd.assert_not_called()
self.assertEqual(
self.mock.method_calls,
[
unittest.mock.call._5566.client_unsubscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
],
)
async def test_sd_multiple_listener(self):
await self.prot.handle_subscribe(
self.stop_subscribe_5566_3333, self.fake_sd_addr
)
await settle()
self.reset_mock()
self.prot.announce_service(self.cfg_5566, self.mock._5566_2)
with self.assertLogs("someip.sd.announce", "WARNING") as cm:
await self.prot.handle_subscribe(
self.subscribe_5566_3333, self.fake_sd_addr
)
await settle()
self.assertTrue(any("multiple configured" in msg for msg in cm.output))
self.assertEqual(
self.mock.method_calls,
[
unittest.mock.call._5566.client_subscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
],
)
class TestSDSubscriptionTTL1(_BaseSDSubscriptionTest):
TTL = 1
test_sd_reject_subscription = _BaseSDSubscriptionTest._test_sd_reject_subscription
test_sd_disconnect = _BaseSDSubscriptionTest._test_sd_disconnect
test_sd_stopping_service = _BaseSDSubscriptionTest._test_sd_stopping_service
async def test_sd_reboot(self):
self.prot.reboot_detected(self.fake_sd_addr)
await settle()
await self.prot.handle_subscribe(self.subscribe_5566_3333, self.fake_sd_addr)
await settle()
self._mock_send_sd.assert_called_once_with(
[self.ack_5566_3333], remote=self.fake_sd_addr
)
self.assertEqual(
self.mock.method_calls,
[
unittest.mock.call._5566.client_unsubscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
unittest.mock.call._5566.client_subscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
],
)
self.reset_mock()
# wait for timeout of initial service, should not call client_unsubscribed since
# it was removed by reboot detection
await asyncio.sleep(0.8)
self.mock.assert_not_called()
async def test_sd(self):
await self.prot.handle_subscribe(self.subscribe_5566_3333, self.fake_sd_addr)
await settle()
self._mock_send_sd.assert_called_once_with(
[self.ack_5566_3333], remote=self.fake_sd_addr
)
self.mock.assert_not_called()
await asyncio.sleep(0.2)
await self.prot.handle_subscribe(
self.stop_subscribe_5566_3333, self.fake_sd_addr
)
await settle()
self.assertEqual(
self.mock.method_calls,
[
unittest.mock.call._5566.client_unsubscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
],
)
self.reset_mock()
await self.prot.handle_subscribe(self.subscribe_5566_3333, self.fake_sd_addr)
await settle()
self._mock_send_sd.assert_called_once_with(
[self.ack_5566_3333], remote=self.fake_sd_addr
)
self.assertEqual(
self.mock.method_calls,
[
unittest.mock.call._5566.client_subscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
],
)
self.reset_mock()
await asyncio.sleep(1.2)
self.assertEqual(
self.mock.method_calls,
[
unittest.mock.call._5566.client_unsubscribed(
self.subscription_5566_3333, self.fake_sd_addr
),
],
)
self.reset_mock()
# service already removed by timeout detection above.
# send stopoffer again, should not reach listener
await self.prot.handle_subscribe(
self.stop_subscribe_5566_3333, self.fake_sd_addr
)
await settle()
self.mock.assert_not_called()
async def test_sd_unknown(self):
with self.assertLogs("someip.sd.announce", "WARNING") as cm:
await self.prot.handle_subscribe(
self.subscribe_5566_1234, self.fake_sd_addr
)
await settle()
self.assertTrue(any("subscribe for unknown" in msg for msg in cm.output))
self._mock_send_sd.assert_called_once_with(
[self.nack_5566_1234], remote=self.fake_sd_addr
)
self.mock.assert_not_called()
# }}}
# {{{ ServiceDiscoveryProtocol multicast endpoints
class _MulticastEndpointsTest:
maxDiff: typing.Optional[int] = None
AF: socket.AddressFamily
bind_lo_addr: str
bind_mc_addr: str
bind_interface: str
send_addr: str
sender_lo_addr: str
send_mc_addr: str
def _mc_sockopts(self, sock: socket.socket) -> None:
...
async def asyncSetUp(self): # noqa: N802
(
self.trsp_u,
self.trsp_m,
self.prot,
) = await sd.ServiceDiscoveryProtocol.create_endpoints(
family=self.AF,
local_addr=self.bind_lo_addr,
multicast_addr=self.bind_mc_addr,
port=30490,
multicast_interface=self.bind_interface,
)
async def asyncTearDown(self): # noqa: N802
self.trsp_u.close()
self.trsp_m.close()
async def test_endpoint_recv_unicast(self):
payload = (
b"\x40\x00\x00\x00"
b"\x00\x00\x00\x30"
b"\x06\x00\x00\x21\x88\x99\x66\x77\xEE\x20\x21\x22\x00\x00\x00\x10"
b"\x01\x01\x01\x01\x55\x66\x77\x88\x99\x00\x00\x01\xde\xad\xbe\xef"
b"\x01\x01\x01\x01\x55\x67\x77\x88\x99\x00\x00\x01\xde\xad\xbe\xef"
b"\x00\x00\x00\x20"
b"\x00\x09\x04\x00\x01\x02\x03\x04\x00\x11\x07\xff"
b"\x00\x09\x04\x00\xfe\xfd\xfc\xfb\x00\x11\xff\xff"
b"\x00\x05\x02\x00\x22\x22\x33\x33"
)
data = hdr.SOMEIPHeader(
service_id=hdr.SD_SERVICE,
method_id=hdr.SD_METHOD,
client_id=0,
session_id=1,
interface_version=hdr.SD_INTERFACE_VERSION,
message_type=hdr.SOMEIPMessageType.NOTIFICATION,
payload=payload,
).build()
mock = unittest.mock.Mock()
self.prot.datagram_received = mock
ais = socket.getaddrinfo(
self.send_addr,
30490,
self.AF,
socket.SOCK_DGRAM,
socket.IPPROTO_UDP,
flags=socket.AI_NUMERICHOST | socket.AI_NUMERICSERV,
)
dst_ai = ais[0]
sender_sock = socket.socket(self.AF, socket.SOCK_DGRAM, socket.IPPROTO_UDP)
self._mc_sockopts(sender_sock)
try:
sender_sock.sendto(data, dst_ai[4])
await asyncio.sleep(0.01)
sender_port = sender_sock.getsockname()[1]
ais = socket.getaddrinfo(
self.sender_lo_addr,
sender_port,
self.AF,
socket.SOCK_DGRAM,
socket.IPPROTO_UDP,
flags=(
socket.AI_NUMERICHOST | socket.AI_NUMERICSERV | socket.AI_PASSIVE
),
)
src_ai = ais[0]
mock.assert_called_once_with(data, src_ai[4], multicast=False)
finally:
sender_sock.close()
async def test_endpoint_recv_multicast(self):
payload = (
b"\x40\x00\x00\x00"
b"\x00\x00\x00\x30"
b"\x06\x00\x00\x21\x88\x99\x66\x77\xEE\x20\x21\x22\x00\x00\x00\x10"
b"\x01\x01\x01\x01\x55\x66\x77\x88\x99\x00\x00\x01\xde\xad\xbe\xef"
b"\x01\x01\x01\x01\x55\x67\x77\x88\x99\x00\x00\x01\xde\xad\xbe\xef"
b"\x00\x00\x00\x20"
b"\x00\x09\x04\x00\x01\x02\x03\x04\x00\x11\x07\xff"
b"\x00\x09\x04\x00\xfe\xfd\xfc\xfb\x00\x11\xff\xff"
b"\x00\x05\x02\x00\x22\x22\x33\x33"
)
data = hdr.SOMEIPHeader(
service_id=hdr.SD_SERVICE,
method_id=hdr.SD_METHOD,
client_id=0,
session_id=1,
interface_version=hdr.SD_INTERFACE_VERSION,
message_type=hdr.SOMEIPMessageType.NOTIFICATION,
payload=payload,
).build()
mock = unittest.mock.Mock()
self.prot.datagram_received = mock
ais = socket.getaddrinfo(
self.send_mc_addr,
30490,
self.AF,
socket.SOCK_DGRAM,
socket.IPPROTO_UDP,
flags=socket.AI_NUMERICHOST | socket.AI_NUMERICSERV,
)
dst_ai = ais[0]
sender_sock = socket.socket(self.AF, socket.SOCK_DGRAM, socket.IPPROTO_UDP)
self._mc_sockopts(sender_sock)
try:
sender_sock.sendto(data, dst_ai[4])
await asyncio.sleep(0.01)
sender_port = sender_sock.getsockname()[1]
ais = socket.getaddrinfo(
self.sender_lo_addr,
sender_port,
self.AF,
socket.SOCK_DGRAM,
socket.IPPROTO_UDP,
flags=(
socket.AI_NUMERICHOST | socket.AI_NUMERICSERV | socket.AI_PASSIVE
),
)
src_ai = ais[0]
mock.assert_called_once_with(data, src_ai[4], multicast=True)
finally:
sender_sock.close()
class TestMulticastEndpointsV4(
_MulticastEndpointsTest, unittest.IsolatedAsyncioTestCase
):
bind_lo_addr = "127.0.0.1"
sender_lo_addr = "127.0.0.1"
send_addr = "127.0.0.1"
bind_mc_addr = "224.244.224.245"
send_mc_addr = "224.244.224.245"
bind_interface = "lo"
AF = socket.AF_INET
def _mc_sockopts(self, sock: socket.socket) -> None:
sock.setsockopt(
socket.IPPROTO_IP,
socket.IP_MULTICAST_IF,
ipaddress.IPv4Address(self.sender_lo_addr).packed,
)
sock.setsockopt(socket.IPPROTO_IP, socket.IP_MULTICAST_TTL, 1)
# For Linux, the loopback interface does the loopback already, so
# IP_MULTICAST_LOOP is not required. BSD however does not receive own multicast
# packets on a loopback interface, therefore IP_MULTICAST_LOOP=1 is required for
# BSD.
sock.setsockopt(socket.IPPROTO_IP, socket.IP_MULTICAST_LOOP, 1)
class TestMulticastEndpointsV6(
_MulticastEndpointsTest, unittest.IsolatedAsyncioTestCase
):
"""
required setup on Linux:
ip link add type veth
ip link set dev veth0 address 02:00:00:00:00:00
ip link set dev veth1 address 02:00:00:00:00:01
ip link set up dev veth0
ip link set up dev veth1
"""
bind_lo_addr = "fe80::ff:fe00:0%veth0"
sender_lo_addr = "fe80::ff:fe00:1%veth0"
send_addr = "fe80::ff:fe00:0%veth1"
bind_mc_addr = "ff02::dead:beef%veth0"
send_mc_addr = "ff02::dead:beef%veth1"
bind_interface = "veth0"
send_interface = "veth1"
AF = socket.AF_INET6
def setUp(self):
try:
socket.if_nametoindex(self.bind_interface)
socket.if_nametoindex(self.send_interface)
except OSError as exc:
raise unittest.SkipTest("test interfaces veth0 / veth1 not up") from exc
def _mc_sockopts(self, sock: socket.socket) -> None:
ifindex = socket.if_nametoindex(self.send_interface)
sock.setsockopt(
socket.IPPROTO_IPV6, socket.IPV6_MULTICAST_IF, struct.pack("=i", ifindex)
)
sock.setsockopt(socket.IPPROTO_IPV6, socket.IPV6_MULTICAST_HOPS, 1)
sock.setsockopt(socket.IPPROTO_IPV6, socket.IPV6_MULTICAST_LOOP, 0)
# }}}
if __name__ == "__main__":
unittest.main()
| 32.535685
| 88
| 0.603011
| 9,170
| 79,322
| 4.940131
| 0.063359
| 0.031964
| 0.032582
| 0.022251
| 0.825986
| 0.799364
| 0.77548
| 0.752345
| 0.72643
| 0.69334
| 0
| 0.051898
| 0.297975
| 79,322
| 2,437
| 89
| 32.549036
| 0.76161
| 0.032513
| 0
| 0.649869
| 0
| 0.007874
| 0.033466
| 0.01824
| 0
| 0
| 0.009433
| 0
| 0.099738
| 1
| 0.006824
| false
| 0.00105
| 0.007874
| 0.000525
| 0.054593
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
715fdf490c3a92297f8da446941513fde6f5f97a
| 5,524
|
py
|
Python
|
tests/features/scheduling/test_scheduling.py
|
josephmancuso/masonite
|
e9ed31331268bd4966609fbc1e5c55afa5cb0a79
|
[
"MIT"
] | 35
|
2018-01-08T01:20:16.000Z
|
2018-02-06T02:37:14.000Z
|
tests/features/scheduling/test_scheduling.py
|
josephmancuso/masonite
|
e9ed31331268bd4966609fbc1e5c55afa5cb0a79
|
[
"MIT"
] | 55
|
2018-01-03T02:42:03.000Z
|
2018-02-06T13:35:54.000Z
|
tests/features/scheduling/test_scheduling.py
|
josephmancuso/masonite
|
e9ed31331268bd4966609fbc1e5c55afa5cb0a79
|
[
"MIT"
] | 4
|
2018-01-08T13:13:14.000Z
|
2018-01-12T19:35:32.000Z
|
import pendulum
from src.masonite.tests import TestCase
from src.masonite.scheduling import Task
class MockTask(Task):
run_every = "5 minutes"
timezone = "America/New_York"
class TestScheduler(TestCase):
def setUp(self):
super().setUp()
self.task = MockTask()
def test_scheduler_should_run(self):
assert self.task.run_every == "5 minutes"
time = pendulum.now().on(2018, 5, 21).at(22, 5, 5)
self.task._date = time
assert self.task.should_run(time) == True
time = pendulum.now().on(2018, 5, 21).at(22, 6, 5)
self.task._date = time
assert self.task.should_run(time) == False
def test_scheduler_should_run_every_minute(self):
self.task.run_every = "1 minute"
time = pendulum.now().on(2018, 5, 21).at(22, 5, 5)
self.task._date = time
assert self.task.should_run(time) == True
time = pendulum.now().on(2018, 5, 21).at(22, 6, 5)
self.task._date = time
assert self.task.should_run(time) == True
def test_scheduler_should_run_every_2_minutes(self):
self.task.run_every = "2 minutes"
time = pendulum.now().on(2018, 5, 21).at(14, 56, 5)
self.task._date = time
assert self.task.should_run(time) == True
time = pendulum.now().on(2018, 5, 21).at(14, 58, 5)
self.task._date = time
assert self.task.should_run(time) == True
def test_scheduler_should_run_every_hour(self):
self.task.run_every = "1 hour"
time = pendulum.now().on(2018, 5, 21).at(2, 0, 1)
self.task._date = time
assert self.task.should_run(time) == True
time = pendulum.now().on(2018, 5, 21).at(3, 0, 1)
self.task._date = time
assert self.task.should_run(time) == True
self.task.run_every = "2 hours"
time = pendulum.now().on(2018, 5, 21).at(2, 0, 1)
self.task._date = time
assert self.task.should_run(time) == True
self.task.run_every = "2 hours"
time = pendulum.now().on(2018, 5, 21).at(3, 0, 1)
self.task._date = time
assert self.task.should_run(time) == False
time = pendulum.now().on(2018, 5, 21).at(4, 0, 1)
self.task._date = time
assert self.task.should_run(time) == True
def test_scheduler_should_run_every_days(self):
self.task.run_every = "2 days"
time = pendulum.now().on(2018, 5, 21).at(0, 0, 1)
self.task._date = time
assert self.task.should_run(time) == False
time = pendulum.now().on(2018, 5, 23).at(0, 0, 1)
self.task._date = time
assert self.task.should_run(time) == False
self.task.run_at = "5:30"
time = pendulum.now().on(2018, 5, 22).at(5, 30, 0)
self.task._date = time
assert self.task.should_run(time) == True
self.task.run_at = "5:35"
time = pendulum.now().on(2018, 5, 22).at(5, 30, 0)
self.task._date = time
assert self.task.should_run(time) == False
def test_scheduler_should_run_every_months(self):
self.task.run_every = "2 months"
time = pendulum.now().on(2018, 1, 1).at(0, 0, 1)
self.task._date = time
assert self.task.should_run(time) == False
time = pendulum.now().on(2018, 2, 1).at(0, 0, 1)
self.task._date = time
assert self.task.should_run(time) == True
time = pendulum.now().on(2018, 2, 1).at(10, 0, 1)
self.task._date = time
assert self.task.should_run(time) == False
self.task.run_at = "5:30"
time = pendulum.now().on(2018, 2, 1).at(5, 30, 0)
self.task._date = time
assert self.task.should_run(time) == False
def test_twice_daily_at_correct_time(self):
time = pendulum.now().on(2018, 1, 1).at(1, 20, 5)
self.task.run_every = ""
self.task.twice_daily = (1, 13)
self.task._date = time
assert self.task.should_run()
time = pendulum.now().on(2018, 1, 1).at(13, 20, 5)
self.task._date = time
assert self.task.should_run()
def test_twice_daily_at_incorrect_time(self):
time = pendulum.now().on(2018, 1, 1).at(12, 20, 5)
self.task.run_every = ""
self.task.twice_daily = (1, 13)
self.task._date = time
assert self.task.should_run() is False
def test_run_at(self):
self.task.run_every = ""
self.task.run_at = "13:00"
time = pendulum.now().on(2018, 1, 1).at(13, 0, 5)
self.task._date = time
self.task.run_at = "13:05"
time = pendulum.now().on(2018, 1, 1).at(13, 5, 5)
self.task._date = time
assert self.task.should_run() is True
time = pendulum.now().on(2018, 1, 1).at(13, 6, 5)
self.task._date = time
assert self.task.should_run() is False
def test_method_calls(self):
task = MockTask()
task.at("13:00")
time = pendulum.now().on(2018, 1, 1).at(13, 0, 5)
task._date = time
assert task.should_run(time) == True
task = MockTask()
task.every_minute()
time = pendulum.now().on(2018, 5, 21).at(22, 5, 5)
task._date = time
assert task.should_run(time) == True
def test_should_run_task_immediately_by_class(self):
self.craft("schedule:run", "--task TaskTest --force").assertSuccess()
def test_should_run_task_immediately_by_name(self):
self.craft("schedule:run", "--task task_test --force").assertSuccess()
| 32.686391
| 78
| 0.590333
| 837
| 5,524
| 3.740741
| 0.0908
| 0.176302
| 0.129352
| 0.146599
| 0.875439
| 0.833919
| 0.773555
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| 0.73427
| 0.695624
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| 5,524
| 168
| 79
| 32.880952
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| 0.230159
| 1
| 0.103175
| false
| 0
| 0.02381
| 0
| 0.15873
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| 0
| null | 0
| 0
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| 1
| 1
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| 1
| 1
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| 0
| 0
|
0
| 6
|
7163ecf8c2e93e5428add81ad62e4da2dccca8e4
| 24
|
py
|
Python
|
tests/test_mypkg.py
|
RamizRzayev/pycounts
|
dd0e7e46d69b6b25b2ea041c5a679c2ab66f99b7
|
[
"MIT"
] | null | null | null |
tests/test_mypkg.py
|
RamizRzayev/pycounts
|
dd0e7e46d69b6b25b2ea041c5a679c2ab66f99b7
|
[
"MIT"
] | null | null | null |
tests/test_mypkg.py
|
RamizRzayev/pycounts
|
dd0e7e46d69b6b25b2ea041c5a679c2ab66f99b7
|
[
"MIT"
] | null | null | null |
from mypkg import mypkg
| 12
| 23
| 0.833333
| 4
| 24
| 5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 24
| 1
| 24
| 24
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
7176c26a76e32225bb900d07b6f8fbce5dacd4bb
| 138
|
py
|
Python
|
src/app/admin/__init__.py
|
Ezequiel-Vega/peg
|
ff5c41c91df7885e0fd3d4c750497dd2d8290b67
|
[
"MIT"
] | null | null | null |
src/app/admin/__init__.py
|
Ezequiel-Vega/peg
|
ff5c41c91df7885e0fd3d4c750497dd2d8290b67
|
[
"MIT"
] | null | null | null |
src/app/admin/__init__.py
|
Ezequiel-Vega/peg
|
ff5c41c91df7885e0fd3d4c750497dd2d8290b67
|
[
"MIT"
] | null | null | null |
from flask import Blueprint
admin_bp : Blueprint = Blueprint("admin", __name__, template_folder='templates/admin')
from . import routes
| 23
| 86
| 0.782609
| 17
| 138
| 6
| 0.647059
| 0.27451
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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0
| 6
|
e0e9115f513a386f0246351c12de5d915cef6833
| 88
|
py
|
Python
|
toolsrequests/__init__.py
|
gboacloth/toolsrequests
|
b392f8e5506db6e78173ee6dc1d2ac137580b739
|
[
"MIT"
] | null | null | null |
toolsrequests/__init__.py
|
gboacloth/toolsrequests
|
b392f8e5506db6e78173ee6dc1d2ac137580b739
|
[
"MIT"
] | null | null | null |
toolsrequests/__init__.py
|
gboacloth/toolsrequests
|
b392f8e5506db6e78173ee6dc1d2ac137580b739
|
[
"MIT"
] | null | null | null |
try:
from TraceyShellClient import *
except:
from .TraceyShellClient import *
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| 36
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0
| 6
|
e0ee98e9cb9824df2049646118fc1efba2211842
| 62
|
py
|
Python
|
test_main.py
|
autoscatto/mastojeppetto
|
c343b95cf6d8f7e79225d5055759d27d141dfa01
|
[
"MIT"
] | 1
|
2019-11-16T02:10:16.000Z
|
2019-11-16T02:10:16.000Z
|
test_main.py
|
autoscatto/mastojeppetto
|
c343b95cf6d8f7e79225d5055759d27d141dfa01
|
[
"MIT"
] | 2
|
2019-11-15T10:08:28.000Z
|
2019-11-15T10:08:30.000Z
|
test_main.py
|
autoscatto/mastojeppetto
|
c343b95cf6d8f7e79225d5055759d27d141dfa01
|
[
"MIT"
] | null | null | null |
def test_import():
from mastojeppetto import download_all
| 20.666667
| 42
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| 8
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| 0.875
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| 0
|
0
| 6
|
e0f8bff52611242b65b6653d36c2749a0db10a06
| 96
|
py
|
Python
|
venv/lib/python3.8/site-packages/setuptools/depends.py
|
GiulianaPola/select_repeats
|
17a0d053d4f874e42cf654dd142168c2ec8fbd11
|
[
"MIT"
] | 2
|
2022-03-13T01:58:52.000Z
|
2022-03-31T06:07:54.000Z
|
venv/lib/python3.8/site-packages/setuptools/depends.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | 19
|
2021-11-20T04:09:18.000Z
|
2022-03-23T15:05:55.000Z
|
venv/lib/python3.8/site-packages/setuptools/depends.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | null | null | null |
/home/runner/.cache/pip/pool/41/84/08/69daf90f02f13f3904ae136de6199186f1a15b1a1764c4570a6fe3710d
| 96
| 96
| 0.895833
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0
| 6
|
460082f14f5cf0a254fe43ec27c2d8800d0540c6
| 17,527
|
py
|
Python
|
packages/esp32_LoBo/frozen/display/fonts/ubuntu_mono_20.py
|
TheVinhLuong102/micropy-stubs
|
55ff1773008f7c4dfc3d70a403986486226eb6b3
|
[
"MIT"
] | 18
|
2019-07-11T13:31:09.000Z
|
2022-01-27T06:38:40.000Z
|
packages/esp32_LoBo/frozen/display/fonts/ubuntu_mono_20.py
|
TheVinhLuong102/micropy-stubs
|
55ff1773008f7c4dfc3d70a403986486226eb6b3
|
[
"MIT"
] | 9
|
2019-09-01T21:44:49.000Z
|
2022-02-04T20:55:08.000Z
|
packages/esp32_LoBo/frozen/display/fonts/ubuntu_mono_20.py
|
TheVinhLuong102/micropy-stubs
|
55ff1773008f7c4dfc3d70a403986486226eb6b3
|
[
"MIT"
] | 6
|
2019-10-08T05:31:21.000Z
|
2021-04-22T10:21:01.000Z
|
_FONT = {
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90: [10, 1048575, 1048575, 1048575, 1048575, 786435, 786435, 790527, 987135, 1033215, 1044735, 1044543, 1047615, 1048335, 1048323, 786435, 786435, 1048575, 1048575, 1048575, 1048575],
91: [10, 1048575, 1048575, 1048575, 1048575, 1032255, 1048383, 1048383, 1048383, 1048383, 1048383, 1048383, 1048383, 1048383, 1048383, 1048383, 1048383, 1048383, 1048383, 1032255, 1048575],
92: [10, 1048575, 1048575, 1048575, 1048563, 1048527, 1048527, 1048527, 1048383, 1048383, 1048383, 1047807, 1047807, 1045503, 1045503, 1045503, 1036287, 1036287, 1036287, 999423, 1048575],
93: [10, 1048575, 1048575, 1048575, 1048575, 1032255, 1036287, 1036287, 1036287, 1036287, 1036287, 1036287, 1036287, 1036287, 1036287, 1036287, 1036287, 1036287, 1036287, 1032255, 1048575],
94: [10, 1048575, 1048575, 1048575, 1048575, 1047807, 1044543, 1045311, 1036239, 987075, 999411, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575],
95: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 786432, 1048575],
96: [10, 1048575, 1048575, 1048575, 1048383, 1047807, 1045503, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575],
97: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 983055, 786447, 802815, 786495, 802755, 802755, 802755, 786435, 786495, 1048575, 1048575, 1048575, 1048575],
98: [10, 1048575, 1048575, 1048575, 1048515, 1048515, 1048515, 1048515, 1032195, 983043, 790467, 802755, 802755, 802755, 790467, 983043, 1032195, 1048575, 1048575, 1048575, 1048575],
99: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 786687, 786447, 1048323, 1048515, 1048515, 1048515, 1048323, 786447, 786495, 1048575, 1048575, 1048575, 1048575],
100: [10, 1048575, 1048575, 1048575, 802815, 802815, 802815, 802815, 786495, 786447, 802563, 802755, 802755, 802755, 802563, 786447, 786495, 1048575, 1048575, 1048575, 1048575],
101: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1032255, 786447, 802755, 786435, 1048515, 1048515, 1048323, 983055, 983103, 1048575, 1048575, 1048575, 1048575],
102: [10, 1048575, 1048575, 1048575, 255, 63, 1047615, 1047615, 786435, 786435, 1047615, 1047615, 1047615, 1047615, 1047615, 1047615, 1047615, 1048575, 1048575, 1048575, 1048575],
103: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 786495, 786447, 802563, 802755, 802755, 802755, 802563, 786447, 786495, 802815, 983043, 1032195, 1048575],
104: [10, 1048575, 1048575, 1048575, 1048515, 1048515, 1048515, 1048515, 1032195, 983043, 790467, 802755, 802755, 802755, 802755, 802755, 802755, 1048575, 1048575, 1048575, 1048575],
105: [10, 1048575, 1048575, 1048575, 1048575, 1044735, 1044735, 1048575, 1044483, 1044483, 1044735, 1044735, 1044735, 1044735, 1044735, 786687, 787455, 1048575, 1048575, 1048575, 1048575],
106: [10, 1048575, 1048575, 1048575, 1048575, 1033215, 1033215, 1048575, 983055, 983055, 987135, 987135, 987135, 987135, 987135, 987135, 987135, 987135, 983043, 1032207, 1048575],
107: [10, 1048575, 1048575, 1048575, 1048515, 1048515, 1048515, 1048515, 790467, 984003, 1032387, 1044483, 1047555, 1044675, 1033155, 987075, 802755, 1048575, 1048575, 1048575, 1048575],
108: [10, 1048575, 1048575, 1048575, 1044483, 1044483, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 786687, 787455, 1048575, 1048575, 1048575, 1048575],
109: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 983043, 786435, 798915, 798915, 798915, 798915, 802755, 802755, 802755, 1048575, 1048575, 1048575, 1048575],
110: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1032195, 983043, 790467, 802755, 802755, 802755, 802755, 802755, 802755, 1048575, 1048575, 1048575, 1048575],
111: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1032255, 983055, 790275, 802755, 802755, 802755, 790275, 983055, 1032255, 1048575, 1048575, 1048575, 1048575],
112: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1032195, 983043, 790467, 802755, 802755, 802755, 790467, 983043, 1032195, 1048515, 1048515, 1048515, 1048575],
113: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 786495, 786447, 802563, 802755, 802755, 802755, 802563, 786447, 786495, 802815, 802815, 802815, 1048575],
114: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 786495, 786447, 1048335, 1048335, 1048335, 1048335, 1048335, 1048335, 1048335, 1048575, 1048575, 1048575, 1048575],
115: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 786495, 786435, 1048515, 1047555, 983055, 787455, 802803, 786435, 983055, 1048575, 1048575, 1048575, 1048575],
116: [10, 1048575, 1048575, 1048575, 1048575, 1047615, 1047615, 1047615, 786435, 786435, 1047615, 1047615, 1047615, 1047615, 1047615, 786495, 786687, 1048575, 1048575, 1048575, 1048575],
117: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 802755, 802755, 802755, 802755, 802755, 802755, 802563, 786447, 786495, 1048575, 1048575, 1048575, 1048575],
118: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 802755, 802755, 986895, 986895, 986895, 986895, 1032255, 1032255, 1032255, 1048575, 1048575, 1048575, 1048575],
119: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 802800, 802800, 802032, 802032, 998451, 983811, 983811, 983811, 987075, 1048575, 1048575, 1048575, 1048575],
120: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 802755, 986895, 1032255, 1032255, 1044735, 1032255, 1035327, 986895, 802755, 1048575, 1048575, 1048575, 1048575],
121: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 802755, 802755, 802575, 986895, 986895, 986175, 986175, 983103, 1032447, 1032447, 1044483, 1047555, 1048575],
122: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 983043, 983043, 1033215, 1044735, 1047615, 1048335, 1048335, 983043, 983043, 1048575, 1048575, 1048575, 1048575],
123: [10, 1048575, 1048575, 1048575, 787455, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1048335, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 787455, 1048575],
124: [10, 1048575, 1048575, 1048575, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1048575],
125: [10, 1048575, 1048575, 1048575, 1047555, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 987135, 1044735, 1044735, 1044735, 1044735, 1044735, 1044735, 1047555, 1048575],
126: [10, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 850959, 786435, 984051, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575, 1048575],
}
| 178.846939
| 190
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| null | 1
| 1
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|
0
| 6
|
4604333b6e8eadfa7c35aec2acacece0f69cefd8
| 19,105
|
py
|
Python
|
cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_ncs1k_macsec_ea_oper.py
|
tkamata-test/ydk-py
|
b637e7853a8edbbd31fbc05afa3aa4110b31c5f9
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_ncs1k_macsec_ea_oper.py
|
tkamata-test/ydk-py
|
b637e7853a8edbbd31fbc05afa3aa4110b31c5f9
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
cisco-ios-xr/ydk/models/cisco_ios_xr/_meta/_Cisco_IOS_XR_ncs1k_macsec_ea_oper.py
|
tkamata-test/ydk-py
|
b637e7853a8edbbd31fbc05afa3aa4110b31c5f9
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
import re
import collections
from enum import Enum
from ydk._core._dm_meta_info import _MetaInfoClassMember, _MetaInfoClass, _MetaInfoEnum
from ydk.types import Empty, YList, YLeafList, DELETE, Decimal64, FixedBitsDict
from ydk._core._dm_meta_info import ATTRIBUTE, REFERENCE_CLASS, REFERENCE_LIST, REFERENCE_LEAFLIST, REFERENCE_IDENTITY_CLASS, REFERENCE_ENUM_CLASS, REFERENCE_BITS, REFERENCE_UNION
from ydk.errors import YPYError, YPYModelError
from ydk.providers._importer import _yang_ns
_meta_table = {
'Ncs1KCipherSuitEnum' : _MetaInfoEnum('Ncs1KCipherSuitEnum', 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper',
{
'gcm-aes-256':'GCM_AES_256',
'gcm-aes-128':'GCM_AES_128',
'gcm-aes-xpn-256':'GCM_AES_XPN_256',
}, 'Cisco-IOS-XR-ncs1k-macsec-ea-oper', _yang_ns._namespaces['Cisco-IOS-XR-ncs1k-macsec-ea-oper']),
'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.EncryptScStatus.ActiveAssociation' : {
'meta_info' : _MetaInfoClass('Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.EncryptScStatus.ActiveAssociation',
False,
[
_MetaInfoClassMember('association-number', ATTRIBUTE, 'int' , None, None,
[('0', '255')], [],
''' Assocition Number
''',
'association_number',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('device-association-number', ATTRIBUTE, 'int' , None, None,
[('0', '255')], [],
''' Devive Association Number
''',
'device_association_number',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('key-crc', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' 32bit CRC of Programmed Key
''',
'key_crc',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('programmed-time', ATTRIBUTE, 'str' , None, None,
[(0, 30)], [],
''' Key Programmed Time
''',
'programmed_time',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('short-secure-channel-id', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Short Secure Channel Id
''',
'short_secure_channel_id',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('xpn-salt', REFERENCE_LEAFLIST, 'int' , None, None,
[('0', '4294967295')], [],
''' XPN Salt
''',
'xpn_salt',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
],
'Cisco-IOS-XR-ncs1k-macsec-ea-oper',
'active-association',
_yang_ns._namespaces['Cisco-IOS-XR-ncs1k-macsec-ea-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper'
),
},
'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.EncryptScStatus' : {
'meta_info' : _MetaInfoClass('Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.EncryptScStatus',
False,
[
_MetaInfoClassMember('active-association', REFERENCE_LIST, 'ActiveAssociation' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper', 'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.EncryptScStatus.ActiveAssociation',
[], [],
''' Active Associations
''',
'active_association',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('cipher-suite', REFERENCE_ENUM_CLASS, 'Ncs1KCipherSuitEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper', 'Ncs1KCipherSuitEnum',
[], [],
''' Cipher Suite
''',
'cipher_suite',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('confidentiality-offset', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Confidentiality offset
''',
'confidentiality_offset',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('initial-packet-number', ATTRIBUTE, 'int' , None, None,
[('0', '18446744073709551615')], [],
''' Initial Packet Number
''',
'initial_packet_number',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('max-packet-number', ATTRIBUTE, 'int' , None, None,
[('0', '18446744073709551615')], [],
''' Maximum Packet Number
''',
'max_packet_number',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('protection-enabled', ATTRIBUTE, 'bool' , None, None,
[], [],
''' Protection Enabled
''',
'protection_enabled',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('recent-packet-number', ATTRIBUTE, 'int' , None, None,
[('0', '18446744073709551615')], [],
''' Recent Packet Number
''',
'recent_packet_number',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('secure-channel-id', ATTRIBUTE, 'int' , None, None,
[('0', '18446744073709551615')], [],
''' Secure Channel Id
''',
'secure_channel_id',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('secure-tag-length', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Secure Tag Length
''',
'secure_tag_length',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
],
'Cisco-IOS-XR-ncs1k-macsec-ea-oper',
'encrypt-sc-status',
_yang_ns._namespaces['Cisco-IOS-XR-ncs1k-macsec-ea-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper'
),
},
'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.DecryptScStatus.ActiveAssociation' : {
'meta_info' : _MetaInfoClass('Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.DecryptScStatus.ActiveAssociation',
False,
[
_MetaInfoClassMember('association-number', ATTRIBUTE, 'int' , None, None,
[('0', '255')], [],
''' Assocition Number
''',
'association_number',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('device-association-number', ATTRIBUTE, 'int' , None, None,
[('0', '255')], [],
''' Devive Association Number
''',
'device_association_number',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('key-crc', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' 32bit CRC of Programmed Key
''',
'key_crc',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('programmed-time', ATTRIBUTE, 'str' , None, None,
[(0, 30)], [],
''' Key Programmed Time
''',
'programmed_time',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('short-secure-channel-id', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Short Secure Channel Id
''',
'short_secure_channel_id',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('xpn-salt', REFERENCE_LEAFLIST, 'int' , None, None,
[('0', '4294967295')], [],
''' XPN Salt
''',
'xpn_salt',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
],
'Cisco-IOS-XR-ncs1k-macsec-ea-oper',
'active-association',
_yang_ns._namespaces['Cisco-IOS-XR-ncs1k-macsec-ea-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper'
),
},
'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.DecryptScStatus' : {
'meta_info' : _MetaInfoClass('Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.DecryptScStatus',
False,
[
_MetaInfoClassMember('active-association', REFERENCE_LIST, 'ActiveAssociation' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper', 'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.DecryptScStatus.ActiveAssociation',
[], [],
''' Active Associations
''',
'active_association',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('cipher-suite', REFERENCE_ENUM_CLASS, 'Ncs1KCipherSuitEnum' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper', 'Ncs1KCipherSuitEnum',
[], [],
''' Cipher Suite
''',
'cipher_suite',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('confidentiality-offset', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Confidentiality offset
''',
'confidentiality_offset',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('initial-packet-number', ATTRIBUTE, 'int' , None, None,
[('0', '18446744073709551615')], [],
''' Initial Packet Number
''',
'initial_packet_number',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('max-packet-number', ATTRIBUTE, 'int' , None, None,
[('0', '18446744073709551615')], [],
''' Maximum Packet Number
''',
'max_packet_number',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('protection-enabled', ATTRIBUTE, 'bool' , None, None,
[], [],
''' Protection Enabled
''',
'protection_enabled',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('recent-packet-number', ATTRIBUTE, 'int' , None, None,
[('0', '18446744073709551615')], [],
''' Recent Packet Number
''',
'recent_packet_number',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('secure-channel-id', ATTRIBUTE, 'int' , None, None,
[('0', '18446744073709551615')], [],
''' Secure Channel Id
''',
'secure_channel_id',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('secure-tag-length', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Secure Tag Length
''',
'secure_tag_length',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
],
'Cisco-IOS-XR-ncs1k-macsec-ea-oper',
'decrypt-sc-status',
_yang_ns._namespaces['Cisco-IOS-XR-ncs1k-macsec-ea-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper'
),
},
'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo' : {
'meta_info' : _MetaInfoClass('Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo',
False,
[
_MetaInfoClassMember('decrypt-sc-status', REFERENCE_CLASS, 'DecryptScStatus' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper', 'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.DecryptScStatus',
[], [],
''' Decrypt Secure Channel Status
''',
'decrypt_sc_status',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('encrypt-sc-status', REFERENCE_CLASS, 'EncryptScStatus' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper', 'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.EncryptScStatus',
[], [],
''' Encrypt Secure Channel Status
''',
'encrypt_sc_status',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('must-secure', ATTRIBUTE, 'bool' , None, None,
[], [],
''' Must Secure
''',
'must_secure',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
_MetaInfoClassMember('replay-window-size', ATTRIBUTE, 'int' , None, None,
[('0', '4294967295')], [],
''' Replay Window Size
''',
'replay_window_size',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
],
'Cisco-IOS-XR-ncs1k-macsec-ea-oper',
'ncs1k-status-info',
_yang_ns._namespaces['Cisco-IOS-XR-ncs1k-macsec-ea-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper'
),
},
'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName' : {
'meta_info' : _MetaInfoClass('Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName',
False,
[
_MetaInfoClassMember('name', ATTRIBUTE, 'str' , None, None,
[], ['(([a-zA-Z0-9_]*\\d+/){3,4}\\d+)|(([a-zA-Z0-9_]*\\d+/){3,4}\\d+\\.\\d+)|(([a-zA-Z0-9_]*\\d+/){2}([a-zA-Z0-9_]*\\d+))|(([a-zA-Z0-9_]*\\d+/){2}([a-zA-Z0-9_]+))|([a-zA-Z0-9_-]*\\d+)|([a-zA-Z0-9_-]*\\d+\\.\\d+)|(mpls)|(dwdm)'],
''' Port name
''',
'name',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', True),
_MetaInfoClassMember('ncs1k-status-info', REFERENCE_CLASS, 'Ncs1KStatusInfo' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper', 'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo',
[], [],
''' controller data
''',
'ncs1k_status_info',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
],
'Cisco-IOS-XR-ncs1k-macsec-ea-oper',
'ncs1k-macsec-ctrlr-name',
_yang_ns._namespaces['Cisco-IOS-XR-ncs1k-macsec-ea-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper'
),
},
'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames' : {
'meta_info' : _MetaInfoClass('Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames',
False,
[
_MetaInfoClassMember('ncs1k-macsec-ctrlr-name', REFERENCE_LIST, 'Ncs1KMacsecCtrlrName' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper', 'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName',
[], [],
''' Interface name
''',
'ncs1k_macsec_ctrlr_name',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
],
'Cisco-IOS-XR-ncs1k-macsec-ea-oper',
'ncs1k-macsec-ctrlr-names',
_yang_ns._namespaces['Cisco-IOS-XR-ncs1k-macsec-ea-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper'
),
},
'Ncs1KMacsecOper' : {
'meta_info' : _MetaInfoClass('Ncs1KMacsecOper',
False,
[
_MetaInfoClassMember('ncs1k-macsec-ctrlr-names', REFERENCE_CLASS, 'Ncs1KMacsecCtrlrNames' , 'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper', 'Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames',
[], [],
''' All Macsec operational data
''',
'ncs1k_macsec_ctrlr_names',
'Cisco-IOS-XR-ncs1k-macsec-ea-oper', False),
],
'Cisco-IOS-XR-ncs1k-macsec-ea-oper',
'ncs1k-macsec-oper',
_yang_ns._namespaces['Cisco-IOS-XR-ncs1k-macsec-ea-oper'],
'ydk.models.cisco_ios_xr.Cisco_IOS_XR_ncs1k_macsec_ea_oper'
),
},
}
_meta_table['Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.EncryptScStatus.ActiveAssociation']['meta_info'].parent =_meta_table['Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.EncryptScStatus']['meta_info']
_meta_table['Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.DecryptScStatus.ActiveAssociation']['meta_info'].parent =_meta_table['Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.DecryptScStatus']['meta_info']
_meta_table['Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.EncryptScStatus']['meta_info'].parent =_meta_table['Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo']['meta_info']
_meta_table['Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo.DecryptScStatus']['meta_info'].parent =_meta_table['Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo']['meta_info']
_meta_table['Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName.Ncs1KStatusInfo']['meta_info'].parent =_meta_table['Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName']['meta_info']
_meta_table['Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames.Ncs1KMacsecCtrlrName']['meta_info'].parent =_meta_table['Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames']['meta_info']
_meta_table['Ncs1KMacsecOper.Ncs1KMacsecCtrlrNames']['meta_info'].parent =_meta_table['Ncs1KMacsecOper']['meta_info']
| 55.057637
| 266
| 0.55865
| 1,625
| 19,105
| 6.332923
| 0.078769
| 0.071519
| 0.089399
| 0.107861
| 0.895831
| 0.878437
| 0.8591
| 0.828977
| 0.766009
| 0.736663
| 0
| 0.04336
| 0.307092
| 19,105
| 346
| 267
| 55.216763
| 0.734023
| 0
| 0
| 0.604651
| 0
| 0.003322
| 0.483369
| 0.372988
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.026578
| 0
| 0.026578
| 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
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| null | 0
| 0
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| 0
| 0
| 0
|
0
| 6
|
4606f4e422cac3728119b4c8a654488c48898ed9
| 35,293
|
py
|
Python
|
test/test_electrophysiology.py
|
GMattheisen/fairgraph
|
4b60e2b03869ff8276ad9c74147064af947dc282
|
[
"Apache-2.0"
] | null | null | null |
test/test_electrophysiology.py
|
GMattheisen/fairgraph
|
4b60e2b03869ff8276ad9c74147064af947dc282
|
[
"Apache-2.0"
] | null | null | null |
test/test_electrophysiology.py
|
GMattheisen/fairgraph
|
4b60e2b03869ff8276ad9c74147064af947dc282
|
[
"Apache-2.0"
] | null | null | null |
# encoding: utf-8
"""
Tests of fairgraph.electrophysiology module, using a mock Http client
which returns data loaded from the files in the test_data directory.
"""
from fairgraph.base import KGQuery, KGProxy, as_list, Distribution
from fairgraph.commons import BrainRegion, CellType, QuantitativeValue
from fairgraph.core import use_namespace as use_core_namespace
from fairgraph.electrophysiology import (
Trace, MultiChannelMultiTrialRecording, PatchedCell, Slice, BrainSlicingActivity,
PatchedSlice, PatchedCellCollection, PatchClampActivity, PatchClampExperiment,
QualifiedTraceGeneration, QualifiedMultiTraceGeneration,
IntraCellularSharpElectrodeExperiment, IntraCellularSharpElectrodeRecordedCell,
IntraCellularSharpElectrodeRecordedCellCollection,
IntraCellularSharpElectrodeRecordedSlice, IntraCellularSharpElectrodeRecording,
ElectrodeImplantationActivity, ExtracellularElectrodeExperiment, ImplantedBrainTissue,
ExtracellularElectrodeExperiment,ECoGExperiment, CulturingActivity, Device, Task,
Sensor, ElectrodeArrayExperiment, ElectrodePlacementActivity, EEGExperiment, CellCulture,
list_kg_classes, use_namespace as use_electrophysiology_namespace)
from fairgraph.minds import Dataset
from .utils import kg_client, MockKGObject, test_data_lookup, BaseTestKG
from pyxus.resources.entity import Instance
import pytest
test_data_lookup.update({
"/v0/data/neuralactivity/experiment/brainslicing/v0.1.0/": "test/test_data/nexus/electrophysiology/brainslicing_list_0_10.json",
"/v0/data/neuralactivity/experiment/brainslicingactivity/v0.1.0/": "test/test_data/nexus/electrophysiology/brainslicingactivity_list_0_10.json",
"/v0/data/neuralactivity/experiment/intracellularsharpelectrodeexperiment/v0.1.0/": "test/test_data/nexus/electrophysiology/intracellularsharpelectrodeexperiment_list_0_10.json",
"/v0/data/neuralactivity/experiment/intrasharprecordedcell/v0.1.0/": "test/test_data/nexus/electrophysiology/intracellularsharpelectroderecordedcell_list_0_10.json",
"/v0/data/neuralactivity/experiment/intrasharprecordedcellcollection/v0.1.0/": "test/test_data/nexus/electrophysiology/intracellularsharpelectroderecordedcellcollection_list_0_10.json",
"/v0/data/neuralactivity/experiment/intrasharprecordedslice/v0.1.0/": "test/test_data/nexus/electrophysiology/intracellularsharpelectroderecordedslice_list_0_10.json",
"/v0/data/neuralactivity/experiment/intrasharpelectrode/v0.1.0/": "test/test_data/nexus/electrophysiology/intracellularsharpelectroderecording_list_0_10.json",
"/v0/data/neuralactivity/electrophysiology/multichannelmultitrialrecording/v0.1.0/": "test/test_data/nexus/electrophysiology/multichannelmultitrialrecording_list_0_10.json",
"/v0/data/neuralactivity/electrophysiology/multitrace/v0.1.0/": "test/test_data/nexus/electrophysiology/multitrace_list_0_10.json",
"/v0/data/neuralactivity/electrophysiology/multitrace/v0.1.1/": "test/test_data/nexus/electrophysiology/multitrace_list_0_10.json",
"/v0/data/neuralactivity/electrophysiology/multitrace/v0.2.0/": "test/test_data/nexus/electrophysiology/multitrace_list_0_10.json",
"/v0/data/neuralactivity/experiment/multitracegeneration/v0.1.0/": "test/test_data/nexus/electrophysiology/multitracegeneration_list_0_10.json",
"/v0/data/neuralactivity/experiment/patchclampactivity/v0.1.0/": "test/test_data/nexus/electrophysiology/patchclampactivity_list_0_10.json",
"/v0/data/neuralactivity/experiment/patchclampexperiment/v0.1.0/": "test/test_data/nexus/electrophysiology/patchclampexperiment_list_0_10.json",
"/v0/data/neuralactivity/experiment/patchedcell/v0.1.0/": "test/test_data/nexus/electrophysiology/patchedcell_list_0_50.json",
"/v0/data/neuralactivity/experiment/patchedcellcollection/v0.1.0/": "test/test_data/nexus/electrophysiology/patchedcellcollection_list_0_10.json",
"/v0/data/neuralactivity/experiment/patchedslice/v0.1.0/": "test/test_data/nexus/electrophysiology/patchedslice_list_0_10.json",
"/v0/data/neuralactivity/electrophysiology/multitracegeneration/v0.1.0/": "test/test_data/nexus/electrophysiology/qualifiedmultitracegeneration_list_0_10.json",
"/v0/data/neuralactivity/electrophysiology/multitracegeneration/v0.2.3/": "test/test_data/nexus/electrophysiology/qualifiedmultitracegeneration_list_0_10.json",
"/v0/data/neuralactivity/experiment/qualifiedtracegeneration/v0.1.0/": "test/test_data/nexus/electrophysiology/qualifiedtracegeneration_list_0_10.json",
"/v0/data/neuralactivity/core/slice/v0.1.0/": "test/test_data/nexus/electrophysiology/slice_list_0_10.json",
"/v0/data/neuralactivity/electrophysiology/stimulusexperiment/v0.1.0/": "test/test_data/nexus/electrophysiology/patchclampexperiment_list_0_10.json",
"/v0/data/neuralactivity/electrophysiology/stimulusexperiment/v0.2.1/": "test/test_data/nexus/electrophysiology/intracellularsharpelectrodeexperiment_list_0_10.json",
"/v0/data/neuralactivity/electrophysiology/stimulusexperiment/v0.3.0/": "test/test_data/nexus/electrophysiology/patchclampexperiment_list_0_10.json",
"/v0/data/neuralactivity/electrophysiology/trace/v0.1.0/": "test/test_data/nexus/electrophysiology/trace_list_0_10.json",
"/v0/data/neuralactivity/electrophysiology/tracegeneration/v0.1.0/": "test/test_data/nexus/electrophysiology/tracegeneration_list_0_10.json",
"/v0/data/neuralactivity/experiment/wholecellpatchclamp/v0.1.0/": "test/test_data/nexus/electrophysiology/wholecellpatchclamp_list_0_10.json",
"/v0/data/neuralactivity/experiment/wholecellpatchclamp/v0.3.0/": "test/test_data/nexus/electrophysiology/wholecellpatchclamp_list_0_10.json",
"/v0/data/neuralactivity/experiment/patchedcell/v0.1.0/5ab24291-8dca-4a45-a484-8a8c28d396e2": "test/test_data/nexus/electrophysiology/patchedcell_example.json",
"/query/neuralactivity/experiment/patchedcell/v0.1.0/fgModified/instances": "test/test_data/kgquery/electrophysiology/patchedcell_list_simple_0_10.json",
"/query/neuralactivity/experiment/patchedcell/v0.1.0/fgResolvedModified/instances": "test/test_data/kgquery/electrophysiology/patchedcell_list_resolved_0_10.json",
"/query/neuralactivity/experiment/brainslicing/v0.1.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/brainslicingactivity_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/stimulusexperiment/v0.2.1/fgResolved/instances": "test/test_data/kgquery/electrophysiology/intracellularsharpelectrodeexperiment_list_resolved_0_10.json",
"/query/neuralactivity/experiment/intrasharprecordedcell/v0.1.0/fgResolvedModified/instances": "test/test_data/kgquery/electrophysiology/intracellularsharpelectroderecordedcell_list_resolved_0_10.json",
"/query/neuralactivity/experiment/intrasharprecordedcellcollection/v0.1.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/intracellularsharpelectroderecordedcellcollection_list_resolved_0_10.json",
"/query/neuralactivity/experiment/intrasharprecordedslice/v0.1.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/intracellularsharpelectroderecordedslice_list_resolved_0_10.json",
"/query/neuralactivity/experiment/intrasharpelectrode/v0.1.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/intracellularsharpelectroderecording_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/multitrace/v0.1.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/multichannelmultitrialrecording_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/multitrace/v0.1.1/fgResolved/instances": "test/test_data/kgquery/electrophysiology/multichannelmultitrialrecording_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/multitrace/v0.2.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/multichannelmultitrialrecording_list_resolved_0_10.json",
"/query/neuralactivity/experiment/wholecellpatchclamp/v0.1.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/patchclampactivity_list_resolved_0_10.json",
"/query/neuralactivity/experiment/wholecellpatchclamp/v0.3.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/patchclampactivity_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/stimulusexperiment/v0.1.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/patchclampexperiment_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/stimulusexperiment/v0.3.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/patchclampexperiment_list_resolved_0_10.json",
"/query/neuralactivity/experiment/patchedcellcollection/v0.1.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/patchedcellcollection_list_resolved_0_10.json",
"/query/neuralactivity/experiment/patchedslice/v0.1.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/patchedslice_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/multitracegeneration/v0.1.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/qualifiedmultitracegeneration_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/multitracegeneration/v0.2.3/fgResolved/instances": "test/test_data/kgquery/electrophysiology/qualifiedmultitracegeneration_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/tracegeneration/v0.1.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/qualifiedtracegeneration_list_resolved_0_10.json",
"/query/neuralactivity/core/slice/v0.1.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/slice_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/trace/v0.1.0/fgResolved/instances": "test/test_data/kgquery/electrophysiology/trace_list_resolved_0_10.json",
"/query/neuralactivity/experiment/brainslicing/v0.1.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/brainslicingactivity_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/stimulusexperiment/v0.2.1/fgSimple/instances": "test/test_data/kgquery/electrophysiology/intracellularsharpelectrodeexperiment_list_resolved_0_10.json",
"/query/neuralactivity/experiment/intrasharprecordedcell/v0.1.0/fgModified/instances": "test/test_data/kgquery/electrophysiology/intracellularsharpelectroderecordedcell_list_resolved_0_10.json",
"/query/neuralactivity/experiment/intrasharprecordedcellcollection/v0.1.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/intracellularsharpelectroderecordedcellcollection_list_resolved_0_10.json",
"/query/neuralactivity/experiment/intrasharprecordedslice/v0.1.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/intracellularsharpelectroderecordedslice_list_resolved_0_10.json",
"/query/neuralactivity/experiment/intrasharpelectrode/v0.1.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/intracellularsharpelectroderecording_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/multitrace/v0.1.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/multichannelmultitrialrecording_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/multitrace/v0.1.1/fgSimple/instances": "test/test_data/kgquery/electrophysiology/multichannelmultitrialrecording_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/multitrace/v0.2.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/multichannelmultitrialrecording_list_resolved_0_10.json",
"/query/neuralactivity/experiment/wholecellpatchclamp/v0.1.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/patchclampactivity_list_resolved_0_10.json",
"/query/neuralactivity/experiment/wholecellpatchclamp/v0.3.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/patchclampactivity_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/stimulusexperiment/v0.1.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/patchclampexperiment_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/stimulusexperiment/v0.3.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/patchclampexperiment_list_resolved_0_10.json",
"/query/neuralactivity/experiment/patchedcellcollection/v0.1.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/patchedcellcollection_list_resolved_0_10.json",
"/query/neuralactivity/experiment/patchedslice/v0.1.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/patchedslice_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/multitracegeneration/v0.1.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/qualifiedmultitracegeneration_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/multitracegeneration/v0.2.3/fgSimple/instances": "test/test_data/kgquery/electrophysiology/qualifiedmultitracegeneration_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/tracegeneration/v0.1.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/qualifiedtracegeneration_list_resolved_0_10.json",
"/query/neuralactivity/core/slice/v0.1.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/slice_list_resolved_0_10.json",
"/query/neuralactivity/electrophysiology/trace/v0.1.0/fgSimple/instances": "test/test_data/kgquery/electrophysiology/trace_list_resolved_0_10.json",
})
use_core_namespace("neuralactivity")
use_electrophysiology_namespace("neuralactivity")
class TestPatchedCell(BaseTestKG):
class_under_test = PatchedCell
def test_list_nexus(self, kg_client):
cells = PatchedCell.list(kg_client, api="nexus", size=50)
assert len(cells) == 30
assert cells[0].brain_location == BrainRegion("hippocampus CA1")
assert isinstance(cells[0].collection, KGQuery)
assert cells[0].cell_type == CellType("hippocampus CA1 pyramidal cell")
assert isinstance(cells[0].experiments, KGQuery)
assert cells[0].pipette_id is None
assert cells[0].seal_resistance is None
assert cells[0].pipette_resistance is None
assert cells[0].liquid_junction_potential is None
assert cells[0].labeling_compound is None
assert cells[0].reversal_potential_cl == QuantitativeValue(-16.0, unit_text="mV")
def test_list_with_filter(self, kg_client):
cells = PatchedCell.list(kg_client, api="nexus", brain_region=BrainRegion("hippocampus CA1"), size=50)
assert len(cells) == 26
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 10, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 10, len(objects)
def test_get_from_uri_nexus(self, kg_client):
uri = "https://nexus.humanbrainproject.org/v0/data/neuralactivity/experiment/patchedcell/v0.1.0/5ab24291-8dca-4a45-a484-8a8c28d396e2"
cell = PatchedCell.from_uri(uri, kg_client, api="nexus")
assert isinstance(cell, PatchedCell)
assert cell.id == uri
assert cell.brain_location == [BrainRegion('lobule 5 of the cerebellar vermis'),
BrainRegion('lobule 6 of the cerebellar vermis'),
BrainRegion('lobule 7 of the cerebellar vermis'),
BrainRegion('lobule 8 of the cerebellar vermis')]
assert isinstance(cell.collection, KGQuery)
assert isinstance(cell.experiments, KGQuery)
def test_get_from_uri_kgquery_simple(self, kg_client): # TODO: UPDATE STORED QUERY
uri = "https://nexus.humanbrainproject.org/v0/data/neuralactivity/experiment/patchedcell/v0.1.0/b813a2f7-5e87-4827-81cd-0008da041648"
cell = PatchedCell.from_uri(uri, kg_client, api="query", resolved=False)
assert isinstance(cell, PatchedCell)
assert cell.brain_location == [BrainRegion('5th cerebellar lobule'),
BrainRegion('6th cerebellar lobule'),
BrainRegion('7th cerebellar lobule'),
BrainRegion('8th cerebellar lobule')]
assert isinstance(cell.collection, KGQuery)
assert isinstance(cell.experiments, KGQuery)
def test_get_from_uri_kgquery_resolved(self, kg_client):
uri = "https://nexus.humanbrainproject.org/v0/data/neuralactivity/experiment/patchedcell/v0.1.0/b813a2f7-5e87-4827-81cd-0008da041648"
cell = PatchedCell.from_uri(uri, kg_client, api="query", resolved=True)
assert isinstance(cell, PatchedCell)
assert cell.id == uri
assert cell.brain_location == [BrainRegion('5th cerebellar lobule'),
BrainRegion('6th cerebellar lobule'),
BrainRegion('7th cerebellar lobule'),
BrainRegion('8th cerebellar lobule')]
assert isinstance(cell.collection, KGQuery)
assert isinstance(cell.experiments, KGQuery)
def test_get_from_uuid(self, kg_client):
uri = "https://nexus.humanbrainproject.org/v0/data/neuralactivity/experiment/patchedcell/v0.1.0/5ab24291-8dca-4a45-a484-8a8c28d396e2"
a = PatchedCell.from_uri(uri, kg_client, api="nexus")
b = PatchedCell.from_uuid("5ab24291-8dca-4a45-a484-8a8c28d396e2", kg_client, api="nexus")
assert a == b
assert a.id == uri
def test_get_from_uri_with_cache(self, kg_client):
assert len(kg_client.cache) == 0
assert kg_client._nexus_client._http_client.request_count == 0
uri = "https://nexus.humanbrainproject.org/v0/data/neuralactivity/experiment/patchedcell/v0.1.0/5ab24291-8dca-4a45-a484-8a8c28d396e2"
# 1st call
cell1 = PatchedCell.from_uri(uri, kg_client, api="nexus")
assert len(kg_client.cache) == 1
assert kg_client._nexus_client._http_client.request_count == 1
assert uri in kg_client.cache
# 2nd call
cell2 = PatchedCell.from_uri(uri, kg_client, api="nexus")
assert kg_client._nexus_client._http_client.request_count == 1 # should be unchanged if cache was used
# 3rd call, without cache
cell3 = PatchedCell.from_uri(uri, kg_client, use_cache=False, api="nexus")
assert kg_client._nexus_client._http_client.request_count == 2
assert cell1.id == cell2.id == cell3.id == uri
def test_by_name_nexus(self, kg_client):
cell = PatchedCell.by_name("sub2epsp.samp1", kg_client, api="nexus")
assert cell.uuid == "5ab24291-8dca-4a45-a484-8a8c28d396e2"
def test_by_name_nexus_not_found(self, kg_client):
cell = PatchedCell.by_name("qwertyuiop", kg_client, api="nexus")
assert cell is None
def test_by_name_kgquery(self, kg_client):
cell = PatchedCell.by_name("GF1.samp1", kg_client, api="query")
assert cell.uuid == "b813a2f7-5e87-4827-81cd-0008da041648"
def test_round_trip(self, kg_client):
cell1 = PatchedCell("example001",
brain_location=BrainRegion("primary auditory cortex"),
collection=None,
cell_type=CellType("pyramidal cell"),
experiments=None,
pipette_id=31,
seal_resistance=QuantitativeValue(1.2, "GΩ"),
pipette_resistance=QuantitativeValue(1.5, "MΩ"),
liquid_junction_potential=QuantitativeValue(5.0, "mV"),
labeling_compound="0.1% biocytin ",
reversal_potential_cl=QuantitativeValue(-65, "mV"))
instance = Instance(PatchedCell.path, cell1._build_data(kg_client), Instance.path)
instance.data["@id"] = "http://fake_uuid_93f9cd9a9b"
instance.data["@type"] = PatchedCell.type
cell2 = PatchedCell.from_kg_instance(instance, kg_client)
for field in ("name", "brain_location", "cell_type",
"pipette_id", "seal_resistance", "pipette_resistance",
"liquid_junction_potential", "labeling_compound",
"reversal_potential_cl"):
assert getattr(cell1, field) == getattr(cell2, field)
def test_repr(self):
try:
unicode
except NameError:
cell = PatchedCell("example001",
brain_location=BrainRegion("primary auditory cortex"),
collection=None,
cell_type=CellType("pyramidal cell"),
experiments=None,
pipette_id=31,
seal_resistance=QuantitativeValue(1.2, "GΩ"),
pipette_resistance=QuantitativeValue(1.5, "MΩ"),
liquid_junction_potential=None,
labeling_compound="0.1% biocytin ",
reversal_potential_cl=None)
expected_repr = ("PatchedCell(name='example001', "
"brain_location=BrainRegion('primary auditory cortex', 'http://purl.obolibrary.org/obo/UBERON_0034751'), "
"cell_type=CellType('pyramidal cell', 'http://purl.obolibrary.org/obo/CL_0000598'), "
"pipette_id=31, seal_resistance=QuantitativeValue(1.2 'GΩ'), "
"pipette_resistance=QuantitativeValue(1.5 'MΩ'), "
"labeling_compound='0.1% biocytin ', id=None)")
assert repr(cell) == expected_repr
else:
pytest.skip(
"The remaining lifespan of Python 2 is too short to fix unicode representation errors")
class TestTrace(BaseTestKG):
class_under_test = Trace
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 10, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 10, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 10, len(objects)
def test_round_trip(self, kg_client):
trace1 = Trace("example001",
data_location=Distribution("http://example.com/example.csv",
content_type="text/tab-separated-values"),
generated_by=MockKGObject(id="http://fake_uuid_abc123", type=PatchClampExperiment.type),
generation_metadata=MockKGObject(id="http://fake_uuid_def456", type=QualifiedTraceGeneration.type),
channel=42,
data_unit="mV",
time_step=QuantitativeValue(0.1, "ms"),
part_of=MockKGObject(id="http://fake_uuid_ghi789", type=Dataset.type))
instance = Instance(Trace.path, trace1._build_data(kg_client), Instance.path)
instance.data["@id"] = "http://fake_uuid_6a5d6ecf87"
instance.data["@type"] = Trace.type
trace2 = Trace.from_kg_instance(instance, kg_client)
for field in ("name", "data_location", "channel", "data_unit", "time_step"):
assert getattr(trace1, field) == getattr(trace2, field)
for field in ("generated_by", "generation_metadata", "part_of"):
obj1 = getattr(trace1, field)
obj2 = getattr(trace2, field)
assert isinstance(obj2, KGProxy)
assert obj1.id == obj2.id
assert obj1.type == obj2.type
class TestMultiChannelMultiTrialRecording(BaseTestKG):
class_under_test = MultiChannelMultiTrialRecording
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 4, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 10, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 10, len(objects)
class TestSlice(BaseTestKG):
class_under_test = Slice
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 10, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 10, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 10, len(objects)
class TestBrainSlicingActivity(BaseTestKG):
class_under_test = BrainSlicingActivity
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 10, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 10, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 10, len(objects)
class TestPatchedSlice(BaseTestKG):
class_under_test = PatchedSlice
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 10, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 10, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 10, len(objects)
class TestPatchedCellCollection(BaseTestKG):
class_under_test = PatchedCellCollection
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 10, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 10, len(objects)
class TestPatchClampActivity(BaseTestKG):
class_under_test = PatchClampActivity
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 10, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 10, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 10, len(objects)
class TestPatchClampExperiment(BaseTestKG):
class_under_test = PatchClampExperiment
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 10, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
cls.set_strict_mode(False, field_name="name") # some examples have empty names
cls.set_strict_mode(False, field_name="stimulus")
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 10, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
cls.set_strict_mode(False, field_name="name") # some examples have empty names
cls.set_strict_mode(False, field_name="stimulus")
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 10, len(objects)
class TestQualifiedTraceGeneration(BaseTestKG):
class_under_test = QualifiedTraceGeneration
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 10, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 10, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
IntraCellularSharpElectrodeExperiment.set_strict_mode(False, "stimulus")
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 10, len(objects)
class TestQualifiedMultiTraceGeneration(BaseTestKG):
class_under_test = QualifiedMultiTraceGeneration
def test_list_nexus(self, kg_client):
tracegens = QualifiedMultiTraceGeneration.list(kg_client, api="nexus", size=10)
assert len(tracegens) == 10, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 10, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 10, len(objects)
class TestIntraCellularSharpElectrodeRecordedCell(BaseTestKG):
class_under_test = IntraCellularSharpElectrodeRecordedCell
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 8, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 8, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 8, len(objects)
class TestIntraCellularSharpElectrodeRecording(BaseTestKG):
class_under_test = IntraCellularSharpElectrodeRecording
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 8, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 8, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 8, len(objects)
class TestIntraCellularSharpElectrodeRecordedCellCollection(BaseTestKG):
class_under_test = IntraCellularSharpElectrodeRecordedCellCollection
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 8, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 8, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 8, len(objects)
class TestIntraCellularSharpElectrodeRecordedSlice(BaseTestKG):
class_under_test = IntraCellularSharpElectrodeRecordedSlice
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 8, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 8, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 8, len(objects)
class TestIntraCellularSharpElectrodeExperiment(BaseTestKG):
class_under_test = IntraCellularSharpElectrodeExperiment
def test_list_nexus(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="nexus", size=10)
assert len(objects) == 8, len(objects)
def test_list_kgquery_simple(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=False)
assert len(objects) == 8, len(objects)
def test_list_kgquery_resolved(self, kg_client):
cls = self.class_under_test
objects = cls.list(kg_client, api="query", size=10, resolved=True)
assert len(objects) == 8, len(objects)
class TestModuleFunctions(object):
def test_list_kg_classes(self):
expected_classes = set((
Trace, MultiChannelMultiTrialRecording, PatchedCell, Slice, BrainSlicingActivity,
PatchedSlice, PatchedCellCollection, PatchClampActivity, PatchClampExperiment,
QualifiedTraceGeneration, QualifiedMultiTraceGeneration,
IntraCellularSharpElectrodeExperiment, IntraCellularSharpElectrodeRecordedCell,
IntraCellularSharpElectrodeRecordedCellCollection,
IntraCellularSharpElectrodeRecordedSlice, IntraCellularSharpElectrodeRecording,
ElectrodeImplantationActivity, ImplantedBrainTissue,
ExtracellularElectrodeExperiment,ECoGExperiment, CulturingActivity, Device, Task,
Sensor, ElectrodeArrayExperiment, ElectrodePlacementActivity, EEGExperiment,
CellCulture
))
assert set(list_kg_classes()) == expected_classes
| 60.536878
| 218
| 0.7287
| 4,057
| 35,293
| 6.117821
| 0.074193
| 0.041579
| 0.034327
| 0.029009
| 0.819581
| 0.800967
| 0.775141
| 0.76394
| 0.711966
| 0.701853
| 0
| 0.033637
| 0.165217
| 35,293
| 582
| 219
| 60.640893
| 0.808805
| 0.009152
| 0
| 0.514831
| 0
| 0.014831
| 0.391503
| 0.330883
| 0
| 0
| 0
| 0.001718
| 0.194915
| 1
| 0.127119
| false
| 0
| 0.016949
| 0
| 0.213983
| 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
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| 0
| 0
| 0
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| 0
|
0
| 6
|
e80f07205b6386ce286468c5d915f0920fb97094
| 15,001
|
py
|
Python
|
instances/simulation/inst-20210422-1717/timetabling_closed-SV/inst-20210422-1717-c50-pas4e-1_optDelivery_9h-3h.py
|
LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure
|
bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11
|
[
"BSD-3-Clause"
] | null | null | null |
instances/simulation/inst-20210422-1717/timetabling_closed-SV/inst-20210422-1717-c50-pas4e-1_optDelivery_9h-3h.py
|
LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure
|
bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11
|
[
"BSD-3-Clause"
] | null | null | null |
instances/simulation/inst-20210422-1717/timetabling_closed-SV/inst-20210422-1717-c50-pas4e-1_optDelivery_9h-3h.py
|
LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure
|
bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11
|
[
"BSD-3-Clause"
] | null | null | null |
"""
PERIODS
"""
numPeriods = 180
"""
STOPS
"""
numStations = 13
station_names = (
"Hamburg Hbf", # 0
"Landwehr", # 1
"Hasselbrook", # 2
"Wansbeker Chaussee*", # 3
"Friedrichsberg*", # 4
"Barmbek*", # 5
"Alte Woehr (Stadtpark)", # 6
"Ruebenkamp (City Nord)", # 7
"Ohlsdorf*", # 8
"Kornweg", # 9
"Hoheneichen", # 10
"Wellingsbuettel", # 11
"Poppenbuettel*", # 12
)
numStops = 26
stops_position = (
(0, 0), # Stop 0
(2, 0), # Stop 1
(3, 0), # Stop 2
(4, 0), # Stop 3
(5, 0), # Stop 4
(6, 0), # Stop 5
(7, 0), # Stop 6
(8, 0), # Stop 7
(9, 0), # Stop 8
(11, 0), # Stop 9
(13, 0), # Stop 10
(14, 0), # Stop 11
(15, 0), # Stop 12
(15, 1), # Stop 13
(15, 1), # Stop 14
(13, 1), # Stop 15
(12, 1), # Stop 16
(11, 1), # Stop 17
(10, 1), # Stop 18
(9, 1), # Stop 19
(8, 1), # Stop 20
(7, 1), # Stop 21
(6, 1), # Stop 22
(4, 1), # Stop 23
(2, 1), # Stop 24
(1, 1), # Stop 25
)
stops_distance = (
(0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 0
(0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 1
(0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 2
(0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 3
(0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 4
(0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 5
(0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 6
(0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 7
(0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 8
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 9
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 10
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 11
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 12
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 13
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 14
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 15
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0), # Stop 16
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0), # Stop 17
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0), # Stop 18
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0), # Stop 19
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0), # Stop 20
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0), # Stop 21
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0), # Stop 22
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0), # Stop 23
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2), # Stop 24
(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), # Stop 25
)
station_start = 0
"""
TRAMS
"""
numTrams = 18
tram_capacity = 514
tram_capacity_cargo = 304
tram_capacity_min_passenger = 208
tram_capacity_min_cargo = 0
tram_speed = 1
tram_headway = 1
tram_min_service = 1
tram_max_service = 10
min_time_next_tram = 0.333
tram_travel_deviation = 0.167
"""
PASSENGERS
"""
passenger_set = "pas-20210422-1717-int4e-1"
passenger_service_time_board = 0.0145
passenger_service_time_alight = 0.0145
"""
CARGO
"""
numCargo = 50
cargo_size = 4
cargo_station_destination = (
8, # 0
4, # 1
5, # 2
4, # 3
3, # 4
5, # 5
4, # 6
5, # 7
8, # 8
8, # 9
5, # 10
12, # 11
8, # 12
4, # 13
8, # 14
5, # 15
12, # 16
4, # 17
3, # 18
12, # 19
12, # 20
12, # 21
4, # 22
3, # 23
4, # 24
12, # 25
5, # 26
3, # 27
12, # 28
5, # 29
4, # 30
3, # 31
12, # 32
5, # 33
3, # 34
8, # 35
8, # 36
12, # 37
8, # 38
4, # 39
3, # 40
3, # 41
8, # 42
3, # 43
4, # 44
12, # 45
12, # 46
5, # 47
3, # 48
4, # 49
)
cargo_release = (
2, # 0
3, # 1
5, # 2
7, # 3
8, # 4
8, # 5
14, # 6
16, # 7
17, # 8
22, # 9
24, # 10
25, # 11
26, # 12
27, # 13
28, # 14
30, # 15
32, # 16
33, # 17
33, # 18
34, # 19
35, # 20
37, # 21
37, # 22
37, # 23
37, # 24
38, # 25
39, # 26
41, # 27
41, # 28
44, # 29
45, # 30
46, # 31
47, # 32
48, # 33
49, # 34
49, # 35
56, # 36
57, # 37
61, # 38
61, # 39
62, # 40
65, # 41
65, # 42
66, # 43
67, # 44
70, # 45
70, # 46
71, # 47
71, # 48
72, # 49
)
cargo_station_deadline = (
33, # 0
119, # 1
176, # 2
72, # 3
18, # 4
171, # 5
105, # 6
155, # 7
156, # 8
123, # 9
126, # 10
91, # 11
36, # 12
87, # 13
144, # 14
134, # 15
141, # 16
101, # 17
163, # 18
108, # 19
144, # 20
175, # 21
76, # 22
162, # 23
47, # 24
97, # 25
87, # 26
114, # 27
164, # 28
142, # 29
55, # 30
56, # 31
57, # 32
118, # 33
59, # 34
160, # 35
170, # 36
139, # 37
71, # 38
71, # 39
82, # 40
161, # 41
109, # 42
151, # 43
77, # 44
80, # 45
169, # 46
97, # 47
129, # 48
99, # 49
)
cargo_max_delay = 3
cargo_service_time_load = 0.3333333333333333
cargo_service_time_unload = 0.25
"""
parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html
"""
#initial entropy
entropy = 8991598675325360468762009371570610170
#index for seed sequence child
child_seed_index = (
0, # 0
)
"""
Results from timetabling
"""
scheme = "SV"
method = "timetabling_closed"
passengerData = "0-rep"
downstream_cargo = False
delivery_optional = True
assignment_method = "timetabling_closed"
operating = (
False, # 0
False, # 1
False, # 2
False, # 3
False, # 4
True, # 5
True, # 6
True, # 7
True, # 8
True, # 9
True, # 10
True, # 11
True, # 12
True, # 13
True, # 14
True, # 15
True, # 16
True, # 17
)
tram_tour = (
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 0
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 1
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 2
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 3
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 4
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 5
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 6
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 7
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 8
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 9
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 10
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 11
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 12
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 13
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 14
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 15
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 16
(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25), # 17
)
tram_time_arrival = (
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 0
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 1
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 2
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 3
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 4
(10.0, 14.0, 16.0, 18.0, 22.0, 24.0, 27.0, 29.0, 31.0, 34.0, 37.0, 39.0, 41.0, 46.0, 57.0, 61.0, 69.0, 75.0, 77.0, 79.0, 82.0, 84.0, 89.0, 100.0, 111.0, 116.0), # 5
(29.0, 41.0, 43.0, 45.0, 47.0, 49.0, 51.0, 53.0, 55.0, 61.0, 64.0, 66.0, 73.0, 76.0, 82.0, 86.0, 94.0, 97.0, 101.0, 104.0, 106.0, 108.0, 112.0, 116.0, 126.0, 133.0), # 6
(54.0, 66.0, 68.0, 70.0, 72.0, 74.0, 76.0, 78.0, 80.0, 83.0, 86.0, 88.0, 90.0, 94.0, 96.0, 98.0, 103.0, 110.0, 113.0, 115.0, 117.0, 120.0, 131.0, 140.0, 146.0, 155.0), # 7
(65.0, 73.0, 75.0, 77.0, 79.0, 81.0, 83.0, 85.0, 88.0, 91.0, 94.0, 96.0, 98.0, 100.0, 108.0, 111.0, 115.0, 118.0, 126.0, 137.0, 139.0, 143.0, 145.0, 147.0, 157.0, 160.0), # 8
(72.0, 75.0, 82.0, 87.0, 89.0, 91.0, 100.0, 105.0, 112.0, 122.0, 129.0, 131.0, 133.0, 135.0, 137.0, 139.0, 142.0, 145.0, 147.0, 149.0, 151.0, 153.0, 155.0, 157.0, 159.0, 162.0), # 9
(84.0, 88.0, 94.0, 99.0, 110.0, 112.0, 114.0, 116.0, 122.0, 128.0, 131.0, 133.0, 135.0, 137.0, 139.0, 141.0, 144.0, 147.0, 149.0, 151.0, 153.0, 155.0, 157.0, 159.0, 161.0, 164.0), # 10
(102.0, 113.0, 115.0, 117.0, 119.0, 121.0, 123.0, 125.0, 127.0, 130.0, 133.0, 135.0, 137.0, 139.0, 141.0, 143.0, 146.0, 149.0, 151.0, 153.0, 155.0, 157.0, 159.0, 161.0, 163.0, 166.0), # 11
(112.0, 115.0, 117.0, 119.0, 121.0, 123.0, 125.0, 127.0, 129.0, 132.0, 135.0, 137.0, 139.0, 141.0, 143.0, 145.0, 148.0, 151.0, 153.0, 155.0, 157.0, 159.0, 161.0, 163.0, 165.0, 168.0), # 12
(114.0, 117.0, 119.0, 121.0, 123.0, 125.0, 127.0, 129.0, 131.0, 134.0, 137.0, 139.0, 141.0, 143.0, 145.0, 147.0, 150.0, 153.0, 155.0, 157.0, 159.0, 161.0, 163.0, 165.0, 167.0, 170.0), # 13
(116.0, 119.0, 121.0, 123.0, 125.0, 127.0, 129.0, 131.0, 133.0, 136.0, 139.0, 141.0, 143.0, 145.0, 147.0, 149.0, 152.0, 155.0, 157.0, 159.0, 161.0, 163.0, 165.0, 167.0, 169.0, 172.0), # 14
(118.0, 121.0, 123.0, 125.0, 127.0, 129.0, 131.0, 133.0, 135.0, 138.0, 141.0, 143.0, 145.0, 147.0, 149.0, 151.0, 154.0, 157.0, 159.0, 161.0, 163.0, 165.0, 167.0, 169.0, 171.0, 174.0), # 15
(120.0, 123.0, 125.0, 127.0, 129.0, 131.0, 133.0, 135.0, 137.0, 140.0, 143.0, 145.0, 147.0, 149.0, 151.0, 153.0, 156.0, 159.0, 161.0, 163.0, 165.0, 167.0, 169.0, 171.0, 173.0, 176.0), # 16
(122.0, 125.0, 127.0, 129.0, 131.0, 133.0, 135.0, 137.0, 139.0, 142.0, 145.0, 147.0, 149.0, 151.0, 153.0, 155.0, 158.0, 161.0, 163.0, 165.0, 167.0, 169.0, 171.0, 173.0, 175.0, 178.0), # 17
)
tram_time_departure = (
(-0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0, -0.0), # 0
(-0.0, -0.0, -0.0, -0.0, -0.0, 0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0), # 1
(-0.0, -0.0, -0.0, -0.0, -0.0, 0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, 0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0), # 2
(-0.0, -0.0, -0.0, -0.0, 0.0, 0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, 0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0, -0.0), # 3
(-0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0, -0.0, -0.0, -0.0, 0.0, 0.0, -0.0, 0.0, -0.0, -0.0, -0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0, -0.0, -0.0), # 4
(12.0, 15.0, 17.0, 21.0, 23.0, 26.0, 28.0, 30.0, 32.0, 35.0, 38.0, 40.0, 45.0, 56.0, 60.0, 67.0, 73.0, 76.0, 78.0, 81.0, 83.0, 88.0, 99.0, 110.0, 114.0, 125.0), # 5
(39.0, 42.0, 44.0, 46.0, 48.0, 50.0, 52.0, 54.0, 59.0, 62.0, 65.0, 72.0, 75.0, 81.0, 85.0, 92.0, 95.0, 100.0, 103.0, 105.0, 107.0, 111.0, 115.0, 125.0, 131.0, 140.0), # 6
(64.0, 67.0, 69.0, 71.0, 73.0, 75.0, 77.0, 79.0, 81.0, 84.0, 87.0, 89.0, 93.0, 95.0, 97.0, 101.0, 108.0, 112.0, 114.0, 116.0, 119.0, 130.0, 139.0, 145.0, 153.0, 157.0), # 7
(71.0, 74.0, 76.0, 78.0, 80.0, 82.0, 84.0, 87.0, 89.0, 92.0, 95.0, 97.0, 99.0, 107.0, 110.0, 113.0, 116.0, 125.0, 136.0, 138.0, 142.0, 144.0, 146.0, 156.0, 158.0, 161.0), # 8
(73.0, 81.0, 86.0, 88.0, 90.0, 99.0, 104.0, 111.0, 120.0, 127.0, 130.0, 132.0, 134.0, 136.0, 138.0, 140.0, 143.0, 146.0, 148.0, 150.0, 152.0, 154.0, 156.0, 158.0, 160.0, 163.0), # 9
(86.0, 93.0, 98.0, 109.0, 111.0, 113.0, 115.0, 121.0, 126.0, 129.0, 132.0, 134.0, 136.0, 138.0, 140.0, 142.0, 145.0, 148.0, 150.0, 152.0, 154.0, 156.0, 158.0, 160.0, 162.0, 165.0), # 10
(111.0, 114.0, 116.0, 118.0, 120.0, 122.0, 124.0, 126.0, 128.0, 131.0, 134.0, 136.0, 138.0, 140.0, 142.0, 144.0, 147.0, 150.0, 152.0, 154.0, 156.0, 158.0, 160.0, 162.0, 164.0, 167.0), # 11
(113.0, 116.0, 118.0, 120.0, 122.0, 124.0, 126.0, 128.0, 130.0, 133.0, 136.0, 138.0, 140.0, 142.0, 144.0, 146.0, 149.0, 152.0, 154.0, 156.0, 158.0, 160.0, 162.0, 164.0, 166.0, 169.0), # 12
(115.0, 118.0, 120.0, 122.0, 124.0, 126.0, 128.0, 130.0, 132.0, 135.0, 138.0, 140.0, 142.0, 144.0, 146.0, 148.0, 151.0, 154.0, 156.0, 158.0, 160.0, 162.0, 164.0, 166.0, 168.0, 171.0), # 13
(117.0, 120.0, 122.0, 124.0, 126.0, 128.0, 130.0, 132.0, 134.0, 137.0, 140.0, 142.0, 144.0, 146.0, 148.0, 150.0, 153.0, 156.0, 158.0, 160.0, 162.0, 164.0, 166.0, 168.0, 170.0, 173.0), # 14
(119.0, 122.0, 124.0, 126.0, 128.0, 130.0, 132.0, 134.0, 136.0, 139.0, 142.0, 144.0, 146.0, 148.0, 150.0, 152.0, 155.0, 158.0, 160.0, 162.0, 164.0, 166.0, 168.0, 170.0, 172.0, 175.0), # 15
(121.0, 124.0, 126.0, 128.0, 130.0, 132.0, 134.0, 136.0, 138.0, 141.0, 144.0, 146.0, 148.0, 150.0, 152.0, 154.0, 157.0, 160.0, 162.0, 164.0, 166.0, 168.0, 170.0, 172.0, 174.0, 177.0), # 16
(123.0, 126.0, 128.0, 130.0, 132.0, 134.0, 136.0, 138.0, 140.0, 143.0, 146.0, 148.0, 150.0, 152.0, 154.0, 156.0, 159.0, 162.0, 164.0, 166.0, 168.0, 170.0, 172.0, 174.0, 176.0, 179.0), # 17
)
cargo_tram_assignment = (
5, # 0
5, # 1
5, # 2
5, # 3
5, # 4
13, # 5
6, # 6
6, # 7
14, # 8
7, # 9
7, # 10
6, # 11
6, # 12
7, # 13
6, # 14
17, # 15
11, # 16
6, # 17
6, # 18
7, # 19
11, # 20
17, # 21
7, # 22
6, # 23
6, # 24
6, # 25
7, # 26
7, # 27
10, # 28
7, # 29
7, # 30
7, # 31
7, # 32
7, # 33
7, # 34
7, # 35
11, # 36
11, # 37
7, # 38
7, # 39
7, # 40
14, # 41
8, # 42
9, # 43
8, # 44
8, # 45
17, # 46
9, # 47
15, # 48
9, # 49
)
| 32.260215
| 190
| 0.461636
| 3,867
| 15,001
| 1.775537
| 0.073959
| 0.325663
| 0.462715
| 0.584911
| 0.590009
| 0.545441
| 0.544713
| 0.524177
| 0.523595
| 0.519225
| 0
| 0.506292
| 0.263716
| 15,001
| 464
| 191
| 32.329741
| 0.115346
| 0.10006
| 0
| 0.464286
| 0
| 0
| 0.018537
| 0.001931
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.012755
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| null | 0
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| 0
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| 0
| 0
|
0
| 6
|
1c0a1d8865120ed0b658142cfd39906a7715a293
| 18,996
|
py
|
Python
|
src/ipycbm/plugins/foi/foi_panel.py
|
VP-GEO/cbm
|
4ed229f6b6455435b6d032deb8a39dba4ecee7a2
|
[
"BSD-3-Clause"
] | null | null | null |
src/ipycbm/plugins/foi/foi_panel.py
|
VP-GEO/cbm
|
4ed229f6b6455435b6d032deb8a39dba4ecee7a2
|
[
"BSD-3-Clause"
] | null | null | null |
src/ipycbm/plugins/foi/foi_panel.py
|
VP-GEO/cbm
|
4ed229f6b6455435b6d032deb8a39dba4ecee7a2
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# This file is part of CbM (https://github.com/ec-jrc/cbm).
# Author : Konstantinos Anastasakis
# Credits : GTCAP Team
# Copyright : 2021 European Commission, Joint Research Centre
# License : 3-Clause BSD
import os
import glob
from ipywidgets import (Text, Label, HBox, VBox, Layout, Tab, Dropdown,
ToggleButtons, Output, SelectMultiple, HTML, Button,
FileUpload, Checkbox, Accordion, IntText, RadioButtons)
from src.ipycbm.utils import config, settings
from src.ipycbm.sources import database
from src.ipycbm.ui_proc import proc_func
from src.ipycbm.plugins.foi import foi_proc
from src.ipycbm.plugins.foi import foi_proc_v2
def foi():
path_plug = "ipycbm/plugins/foi/foi_db_func/"
path_data = f"{config.get_value(['paths', 'temp'])}foi/"
progress = Output()
def outlog(*text):
with progress:
print(*text)
foi_info = HTML(
value="""FOI procedures need direct access to the database. <br>
In case there no image is provided, access to object storage will be needed to generate the base image from sentinel images.
""",
placeholder='FOI Information',
)
# Connect to database
db_info = Label(
f"1. Connect to database and object storage.")
db_select = Dropdown(
options=[db for db in config.get_value(['db'])],
description='Configure:',
disabled=True,
layout=Layout(width='140px')
)
db_config = Button(
value=False,
disabled=False,
button_style='info',
tooltip='Configure db connection.',
icon='cogs',
layout=Layout(width='40px')
)
db_box = HBox([db_select, db_config])
parcels_table = RadioButtons(
options=[('Upload .shp', 0), ('From database', 1)],
# value='pineapple', # Defaults to 'pineapple'
# layout={'width': 'max-content'}, # If the items' names are long
# description='Pizza topping:',
disabled=False
)
par_box = HBox([])
def on_parcels_table(method):
if method.new == 0:
par_box.children = []
elif method.new == 1:
par_box.children = []
parcels_table.observe(on_parcels_table, 'value')
# Generate or upload image.
img_info = Label(
f"3. Upload or generate raster base image. (Only upload is currently available)")
img_option = ToggleButtons(
options=['Upload', 'Generate'],
value=None,
disabled=True,
button_style='info', # 'success', 'info', 'warning', 'danger' or ''
tooltips=['Upnload your base image', 'Get from object storage']
)
img_dist_folder = Text(
value=f"{path_data}raster/",
placeholder='tmp/',
description='Folder:',
disabled=False
)
img_select = FileUpload(
description='Select file:',
icon='plus',
accept='.tif, .tiff',
multiple=True # True to accept multiple files upload else False
)
img_clear = Button(
value=False,
disabled=False,
button_style='info',
tooltip='Clear selections.',
icon='broom',
layout=Layout(width='40px')
)
img_upload = Button(
value=False,
disabled=False,
button_style='info',
tooltip='Upload foi base image (.tif)',
icon='fa-upload',
layout=Layout(width='40px')
)
img_box = HBox([HBox([img_dist_folder, img_select,
img_clear, img_upload])])
# YAML File upload
yml_select = FileUpload(
description='Select file:',
icon='plus',
accept='.yml, .yaml, .txt',
multiple=False
)
yml_clear = Button(
value=False,
disabled=False,
button_style='info',
tooltip='Clear selection.',
icon='broom',
layout=Layout(width='40px')
)
yml_upload = Button(
value=False,
disabled=False,
button_style='info',
tooltip='Upload yaml file.',
icon='fa-upload',
layout=Layout(width='40px')
)
yml_box = HBox([yml_select, yml_clear, yml_upload])
# Prepare procedures
pre_info = Label("4. Prepare FOI procedure.")
pre_ins_func = Button(
value=False,
disabled=False,
button_style='info',
tooltip='Insert functions to database.',
icon='fa-share-square',
layout=Layout(width='40px')
)
pre_ins_func_box = HBox([Label("Add functions to database:"), pre_ins_func])
vector_file = Dropdown(
options=[s for s in glob.glob(f'{path_data}vector/*'
) if '.shp' in s],
description='Vector file:',
disabled=False,
)
raster_file = Dropdown(
options=[s for s in glob.glob(f'{path_data}raster/*'
) if '.tif' in s],
description='Raster file:',
disabled=False,
)
yaml_file = Dropdown(
options=[s for s in glob.glob(f'{path_data}/*'
) if '.yml' in s],
description='yaml file:',
disabled=False,
)
# heterogeneity_threshold
pre_heto_chec = HTML("""
Minimum and maximum thresholds for heterogeneity checks. In the example,
any parcel with percentage of pixels for one class between 30 and 70 from
the total, will be considered heterogenous.
""")
pre_min_het = IntText(
value=30,
description='MIN:',
tooltip="Minimum threshold for heterogeneity checks",
disabled=False,
layout=Layout(width='150px')
)
pre_max_het = IntText(
value=70,
description='MAX:',
tooltip="Maximum threshold for heterogeneity checks",
disabled=False,
layout=Layout(width='150px')
)
pre_heto_chec_box = HBox([pre_min_het, pre_max_het])
pre_min_area = IntText(
value=2000,
description='area:',
tooltip="Minimum area for clusters selection.",
disabled=False,
layout=Layout(width='200px')
)
refresh_selections = Button(
layout=Layout(width='35px'),
icon='fa-refresh'
)
pre_box = VBox([
pre_info, pre_ins_func_box,
HBox([Label("Select the requared files:"), refresh_selections]),
HTML("""a. Spatial data to be tested - parcels that will
be checked for heterogeneity and cardinality."""),
HBox([vector_file]),
HTML("""b. Thematic raster - classification raster, or raster
from other source that will be used for testing heterogeneity and cardinality."""),
HBox([raster_file]),
HTML("""c. YAML file that holds the classes form the thematic raster file -
can be also a simple list of values in the notebook
corespondence between pixel values and names for the classes"""),
HBox([yaml_file, yml_box]),
pre_heto_chec, pre_heto_chec_box,
HBox([pre_min_area, HTML(
"Minimum area for clusters selection - only clusters bigger from this threshold will be counted.")])
])
# Run procedures
run_info = Label("5. Run FOI procedure.")
run_proc = Button(
description='Run FOI procedure',
value=False,
disabled=False,
button_style='info',
tooltip='Run',
icon='play',
)
run_box = HBox([run_proc])
def on_img_option_change(change):
if img_option.value == 'Upload':
img_box.children = [HBox([img_dist_folder, img_select,
img_clear, img_upload])]
else:
img_box.children = ()
img_option.observe(on_img_option_change, 'value')
@refresh_selections.on_click
def refresh_selections_on_click(b):
vector_file.options = [s for s in glob.glob(f'{path_data}vector/*'
) if '.shp' in s]
raster_file.options = [s for s in glob.glob(f'{path_data}raster/*'
) if '.tif' in s]
yaml_file.options = [s for s in glob.glob(f'{path_data}/*'
) if '.yml' in s]
@img_clear.on_click
def img_clear_on_click(b):
img_select.value.clear()
img_select._counter = 0
@img_upload.on_click
def img_upload_on_click(b):
progress.clear_output()
os.makedirs(img_dist_folder.value, exist_ok=True)
for key in img_select.value:
content = img_select.value[key]['content']
with open(f'{img_dist_folder.value}{key}', 'wb') as f:
f.write(content)
outlog("All files are uploaded.")
@yml_clear.on_click
def yml_clear_on_click(b):
yml_select.value.clear()
yml_select._counter = 0
@yml_upload.on_click
def yml_upload_on_click(b):
progress.clear_output()
yml_dist_folder = f'{path_data}'
os.makedirs(yml_dist_folder, exist_ok=True)
for key in yml_select.value:
content = yml_select.value[key]['content']
with open(f'{yml_dist_folder}{key}', 'wb') as f:
f.write(content)
outlog("The yaml file is uploaded.")
db_conf_box = HBox([])
@db_config.on_click
def db_config_on_click(b):
if db_conf_box.children == ():
db_conf_box.children = [settings.direct_conn()]
else:
db_conf_box.children = ()
@pre_ins_func.on_click
def pre_ins_func_on_click(b):
progress.clear_output()
try:
functions = glob.glob(f"{path_plug}*.func")
db = config.get_value(['set', 'db_conn'])
sche = config.get_value(['db', db, 'conn', 'sche'])
user = config.get_value(['db', db, 'conn', 'user'])
for f in functions:
database.insert_function(open(f).read().format(
schema=sche, owner=user))
finc_list = [f"ipycbm_{f.split('/')[-1].split('.')[0]}, " for f in functions]
outlog(f"The functions: {('').join(finc_list)}where added to the database")
except Exception as err:
outlog("Could not add functions to dattabase.", err)
@run_proc.on_click
def run_proc_on_click(b):
with progress:
foi_proc.proc(vector_file.value, raster_file.value, yaml_file.value,
pre_min_het.value, pre_max_het.value, pre_min_area.value)
wbox = VBox([foi_info,
db_info, db_box, db_conf_box,
proc_func.upload_shp(path_data),
img_info, img_option, img_box,
pre_box,
run_info,
run_box,
progress])
return wbox
def foi_v2():
path_data = f"{config.get_value(['paths', 'temp'])}foi/"
progress = Output()
def outlog(*text):
with progress:
print(*text)
imp_refresh = Button(
layout=Layout(width='35px'),
icon='fa-refresh'
)
foi_info = HTML(
value="""FOI procedures version 2 does not need direct access to the database.
""",
placeholder='FOI Information',
)
# Generate or upload image.
img_info = Label(
f"3. Upload or generate raster base image. (Only upload is currently available)")
img_option = ToggleButtons(
options=['Upload', 'Generate'],
value=None,
disabled=True,
button_style='info', # 'success', 'info', 'warning', 'danger' or ''
tooltips=['Upnload your base image', 'Get from object storage']
)
img_dist_folder = Text(
value=f"{path_data}raster/",
placeholder='tmp/',
description='Folder:',
disabled=False
)
img_select = FileUpload(
description='Select file:',
icon='plus',
accept='.tif, .tiff',
multiple=True # True to accept multiple files upload else False
)
img_clear = Button(
value=False,
disabled=False,
button_style='info',
tooltip='Upload foi reference data (.shp)',
icon='broom',
layout=Layout(width='40px')
)
img_upload = Button(
value=False,
disabled=False,
button_style='info',
tooltip='Upload foi base image (.tif)',
icon='fa-upload',
layout=Layout(width='40px')
)
img_box = HBox([HBox([img_dist_folder, img_select,
img_clear, img_upload])])
# YAML File upload
yml_select = FileUpload(
description='Select file:',
icon='plus',
accept='.yml, .yaml, .txt',
multiple=False
)
yml_clear = Button(
value=False,
disabled=False,
button_style='info',
tooltip='Clear selection.',
icon='broom',
layout=Layout(width='40px')
)
yml_upload = Button(
value=False,
disabled=False,
button_style='info',
tooltip='Upload yaml file.',
icon='fa-upload',
layout=Layout(width='40px')
)
yml_box = HBox([yml_select, yml_clear, yml_upload])
# Prepare procedures
pre_info = Label("4. Prepare FOI procedure.")
vector_file = Dropdown(
options=[s for s in glob.glob(f'{path_data}vector/*'
) if '.shp' in s],
description='Vector file:',
disabled=False,
)
raster_file = Dropdown(
options=[s for s in glob.glob(f'{path_data}raster/*'
) if '.tif' in s],
description='Raster file:',
disabled=False,
)
yaml_file = Dropdown(
options=[s for s in glob.glob(f'{path_data}/*'
) if '.yml' in s],
description='yaml file:',
disabled=False,
)
# heterogeneity_threshold
pre_heto_chec = HTML("""
Minimum and maximum thresholds for heterogeneity checks. In the example,
any parcel with percentage of pixels for one class between 30 and 70 from
the total, will be considered heterogenous.
""")
pre_min_het = IntText(
value=30,
description='MIN:',
tooltip="Minimum threshold for heterogeneity checks",
disabled=False,
layout=Layout(width='150px')
)
pre_max_het = IntText(
value=70,
description='MAX:',
tooltip="Maximum threshold for heterogeneity checks",
disabled=False,
layout=Layout(width='150px')
)
pre_heto_chec_box = HBox([pre_min_het, pre_max_het])
pre_min_cluster_size = IntText(
value=20,
description='pixels:',
tooltip="Minimum area for clusters selection.",
disabled=False,
layout=Layout(width='200px')
)
pre_pixel_connectivity = IntText(
value=8,
description='connectivity type:',
tooltip="Type of pixel connectivity in analysis. Accepted values: 4 or 8.",
disabled=False,
layout=Layout(width='200px')
)
pre_negative_buffer = IntText(
value=-10,
description='negative buffer:',
tooltip="Negative buffer to be applied on the FOI",
disabled=False,
layout=Layout(width='200px')
)
refresh_selections = Button(
layout=Layout(width='35px'),
icon='fa-refresh'
)
pre_box = VBox([
pre_info, Label("Select the requared files:"),
HBox([vector_file, HTML(
"Spatial data to be tested - parcels that will be checked for heterogeneity and cardinality.")]),
HBox([raster_file, HTML("""Thematic raster - classification raster, or raster
from other source that will be used for testing heterogeneity and cardinality.""")]),
HTML("""YAML file that holds the classes form the thematic raster file -
can be also a simple list of values in the notebook
corespondence between pixel values and names for the classes"""),
HBox([yaml_file, yml_box]),
pre_heto_chec, pre_heto_chec_box, pre_pixel_connectivity, pre_negative_buffer,
HBox([pre_min_cluster_size, HTML(
"Minimum area for clusters selection - only clusters bigger from this threshold will be counted.")])
])
# Run procedures
run_info = Label("5. Run FOI procedure.")
run_proc = Button(
description='Run FOI procedure version 2',
value=False,
disabled=False,
button_style='info',
tooltip='Run v2 FOI',
icon='play',
)
run_box = HBox([run_proc])
def on_img_option_change(change):
if img_option.value == 'Upload':
img_box.children = [HBox([img_dist_folder, img_select,
img_clear, img_upload])]
else:
img_box.children = ()
img_option.observe(on_img_option_change, 'value')
@refresh_selections.on_click
def refresh_selections_on_click(b):
vector_file.options = [s for s in glob.glob(f'{path_data}vector/*'
) if '.shp' in s]
raster_file.options = [s for s in glob.glob(f'{path_data}raster/*'
) if '.tif' in s]
yaml_file.options = [s for s in glob.glob(f'{path_data}/*'
) if '.yml' in s]
@img_clear.on_click
def img_clear_on_click(b):
img_select.value.clear()
img_select._counter = 0
@img_upload.on_click
def img_upload_on_click(b):
progress.clear_output()
os.makedirs(img_dist_folder.value, exist_ok=True)
for key in img_select.value:
content = img_select.value[key]['content']
with open(f'{img_dist_folder.value}{key}', 'wb') as f:
f.write(content)
outlog("All files are uploaded.")
@yml_clear.on_click
def yml_clear_on_click(b):
yml_select.value.clear()
yml_select._counter = 0
@yml_upload.on_click
def yml_upload_on_click(b):
progress.clear_output()
yml_dist_folder = f'{path_data}'
os.makedirs(yml_dist_folder, exist_ok=True)
for key in yml_select.value:
content = yml_select.value[key]['content']
with open(f'{yml_dist_folder}{key}', 'wb') as f:
f.write(content)
outlog("The yaml file is uploaded.")
@run_proc.on_click
def run_proc_on_click(b):
with progress:
foi_proc_v2.proc(vector_file.value, raster_file.value, yaml_file.value, pre_negative_buffer.value, pre_min_het.value, pre_max_het.value, pre_pixel_connectivity.value, pre_min_cluster_size.value)
wbox_v2 = VBox([proc_func.upload_shp(path_data),
img_info, img_option, img_box,
pre_box,
run_info,
run_box,
progress])
return wbox_v2
| 33.151832
| 218
| 0.584439
| 2,287
| 18,996
| 4.668561
| 0.135549
| 0.03531
| 0.035029
| 0.015828
| 0.783834
| 0.776716
| 0.755081
| 0.747307
| 0.736817
| 0.718273
| 0
| 0.008463
| 0.303327
| 18,996
| 572
| 219
| 33.20979
| 0.798323
| 0.042377
| 0
| 0.70303
| 0
| 0.00202
| 0.240145
| 0.013874
| 0
| 0
| 0
| 0
| 0
| 1
| 0.042424
| false
| 0
| 0.016162
| 0
| 0.062626
| 0.00404
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
1c600349997b469f77f1570725a81f12a07a96b4
| 132
|
py
|
Python
|
lekcja_w06d.py
|
pawel-gbr/pawel-gbr.github.io
|
69cae413b21ed59509751432929bb42a1991bd1c
|
[
"BSD-2-Clause"
] | null | null | null |
lekcja_w06d.py
|
pawel-gbr/pawel-gbr.github.io
|
69cae413b21ed59509751432929bb42a1991bd1c
|
[
"BSD-2-Clause"
] | 1
|
2018-09-26T16:20:08.000Z
|
2018-09-26T16:50:03.000Z
|
lekcja_w06d.py
|
pawel-gbr/pawel-gbr.github.io
|
69cae413b21ed59509751432929bb42a1991bd1c
|
[
"BSD-2-Clause"
] | null | null | null |
print("Podaj a:")
a = int(input())
print("Podaj b:")
b = int(input())
print("A") if a > b else print("=") if a == b else print("B")
| 22
| 61
| 0.55303
| 25
| 132
| 2.92
| 0.32
| 0.273973
| 0.356164
| 0.219178
| 0.356164
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.174242
| 132
| 5
| 62
| 26.4
| 0.669725
| 0
| 0
| 0
| 0
| 0
| 0.143939
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.6
| 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
| 0
| 0
| 0
| 1
|
0
| 6
|
98c6607d490e7afdcbeea840c64f42ba524fa26b
| 37
|
py
|
Python
|
h5Nastran/h5Nastran/h5/nastran/__init__.py
|
ACea15/pyNastran
|
5ffc37d784b52c882ea207f832bceb6b5eb0e6d4
|
[
"BSD-3-Clause"
] | 293
|
2015-03-22T20:22:01.000Z
|
2022-03-14T20:28:24.000Z
|
h5Nastran/h5Nastran/h5/nastran/__init__.py
|
ACea15/pyNastran
|
5ffc37d784b52c882ea207f832bceb6b5eb0e6d4
|
[
"BSD-3-Clause"
] | 512
|
2015-03-14T18:39:27.000Z
|
2022-03-31T16:15:43.000Z
|
h5Nastran/h5Nastran/h5/nastran/__init__.py
|
ACea15/pyNastran
|
5ffc37d784b52c882ea207f832bceb6b5eb0e6d4
|
[
"BSD-3-Clause"
] | 136
|
2015-03-19T03:26:06.000Z
|
2022-03-25T22:14:54.000Z
|
from .nastran_node import NastranNode
| 37
| 37
| 0.891892
| 5
| 37
| 6.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081081
| 37
| 1
| 37
| 37
| 0.941176
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
c70230752f13e55c3d6b044565190468f11c2e73
| 5,204
|
py
|
Python
|
tests/unit/dataactvalidator/test_fabs37_detached_award_financial_assistance_1.py
|
brianherman/data-act-broker-backend
|
80eb055b9d245046192f7ad4fd0be7d0e11d2dec
|
[
"CC0-1.0"
] | null | null | null |
tests/unit/dataactvalidator/test_fabs37_detached_award_financial_assistance_1.py
|
brianherman/data-act-broker-backend
|
80eb055b9d245046192f7ad4fd0be7d0e11d2dec
|
[
"CC0-1.0"
] | null | null | null |
tests/unit/dataactvalidator/test_fabs37_detached_award_financial_assistance_1.py
|
brianherman/data-act-broker-backend
|
80eb055b9d245046192f7ad4fd0be7d0e11d2dec
|
[
"CC0-1.0"
] | 1
|
2020-07-17T23:50:56.000Z
|
2020-07-17T23:50:56.000Z
|
from tests.unit.dataactcore.factories.staging import DetachedAwardFinancialAssistanceFactory
from dataactcore.models.domainModels import CFDAProgram
from tests.unit.dataactvalidator.utils import number_of_errors, query_columns
_FILE = 'fabs37_detached_award_financial_assistance_1'
def test_column_headers(database):
expected_subset = {'row_number', 'cfda_number', 'action_date', 'action_type', 'correction_delete_indicatr',
'uniqueid_AssistanceTransactionUniqueKey'}
actual = set(query_columns(_FILE, database))
assert expected_subset == actual
def test_success(database):
""" Test valid. For ActionType = A, the CFDA_Number must be active as of the ActionDate.
Not apply to those with CorrectionDeleteIndicator = C.
If publish_date <= action_date <= archived_date, it passes validation (active).
"""
cfda = CFDAProgram(program_number=12.340, published_date='20130427', archived_date='')
det_award_1 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.340', action_date='20140111',
action_type='a', correction_delete_indicatr='B')
det_award_2 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.340', action_date='20140111',
action_type='A', correction_delete_indicatr=None)
det_award_3 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.340', action_date='20130427',
action_type='a', correction_delete_indicatr='B')
det_award_4 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.340', action_date='20110111',
action_type='B', correction_delete_indicatr='B')
det_award_5 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.340', action_date='20110111',
action_type='A', correction_delete_indicatr='C')
# Ignore correction delete indicator of D
det_award_6 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.340', action_date='20110111',
action_type='a', correction_delete_indicatr='d')
errors = number_of_errors(_FILE, database, models=[det_award_1, det_award_2, det_award_3, det_award_4,
det_award_5, det_award_6, cfda])
assert errors == 0
cfda = CFDAProgram(program_number=12.350, published_date='20130427', archived_date='20150427')
det_award_1 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.350', action_date='20140111',
action_type='A', correction_delete_indicatr='B')
det_award_2 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.350', action_date='20140111',
action_type='a', correction_delete_indicatr=None)
det_award_3 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.350', action_date='20130427',
action_type='A', correction_delete_indicatr='B')
det_award_4 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.350', action_date='20110111',
action_type='B', correction_delete_indicatr='B')
det_award_5 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.350', action_date='20110111',
action_type='a', correction_delete_indicatr='C')
errors = number_of_errors(_FILE, database, models=[det_award_1, det_award_2, det_award_3, det_award_4,
det_award_5, cfda])
assert errors == 0
def test_failure(database):
""" Test invalid. For ActionType = A, the CFDA_Number must be active as of the ActionDate.
Not apply to those with CorrectionDeleteIndicator = C.
If publish_date > action_date > archive_date, reject that (not active).
"""
cfda = CFDAProgram(program_number=12.340, published_date='20130427', archived_date='')
det_award_1 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.340', action_date='20120111',
action_type='a', correction_delete_indicatr='B')
det_award_2 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.340', action_date='20120111',
action_type='A', correction_delete_indicatr=None)
det_award_3 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.340', action_date='20120111',
action_type='a', correction_delete_indicatr='B')
det_award_4 = DetachedAwardFinancialAssistanceFactory(cfda_number='12.340', action_date='20120111',
action_type='A', correction_delete_indicatr=None)
errors = number_of_errors(_FILE, database, models=[det_award_1, det_award_2, det_award_3, det_award_4, cfda])
assert errors == 4
| 69.386667
| 113
| 0.637202
| 524
| 5,204
| 5.975191
| 0.183206
| 0.076653
| 0.122645
| 0.244331
| 0.783136
| 0.763015
| 0.763015
| 0.759182
| 0.759182
| 0.759182
| 0
| 0.073818
| 0.276326
| 5,204
| 74
| 114
| 70.324324
| 0.757568
| 0.091084
| 0
| 0.326923
| 0
| 0
| 0.08984
| 0.023316
| 0
| 0
| 0
| 0
| 0.076923
| 1
| 0.057692
| false
| 0
| 0.057692
| 0
| 0.115385
| 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
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
c711a9281c3787b4fa0eb6834942fcc0e7d904a8
| 46
|
py
|
Python
|
src/python/rodney/__init__.py
|
mesnardo/petibm-decoupledibpm
|
675615a882cc8418b15a34e1100ccfb421f1d9d1
|
[
"BSD-3-Clause"
] | null | null | null |
src/python/rodney/__init__.py
|
mesnardo/petibm-decoupledibpm
|
675615a882cc8418b15a34e1100ccfb421f1d9d1
|
[
"BSD-3-Clause"
] | null | null | null |
src/python/rodney/__init__.py
|
mesnardo/petibm-decoupledibpm
|
675615a882cc8418b15a34e1100ccfb421f1d9d1
|
[
"BSD-3-Clause"
] | null | null | null |
from .lietal2016 import *
from .misc import *
| 15.333333
| 25
| 0.73913
| 6
| 46
| 5.666667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 0.173913
| 46
| 2
| 26
| 23
| 0.789474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
c72417352c408dabec2d4e7865ca4250806a6b80
| 30
|
py
|
Python
|
alsa_tooltip/__init__.py
|
theelous3/alsa-tooltip
|
b8e96b742d5a133f5e8e57781802812b2eca9084
|
[
"MIT"
] | null | null | null |
alsa_tooltip/__init__.py
|
theelous3/alsa-tooltip
|
b8e96b742d5a133f5e8e57781802812b2eca9084
|
[
"MIT"
] | null | null | null |
alsa_tooltip/__init__.py
|
theelous3/alsa-tooltip
|
b8e96b742d5a133f5e8e57781802812b2eca9084
|
[
"MIT"
] | null | null | null |
from .alsa_tooltip import main
| 30
| 30
| 0.866667
| 5
| 30
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 30
| 1
| 30
| 30
| 0.925926
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
c76c534f136d9aee58b843eeabbaacdf39f27b43
| 205
|
py
|
Python
|
machineLearning/api/socketServer/src/config/__init__.py
|
guilhermeKodama/Closetinn
|
44d6792cfb0db9cce56db83f2e8c4b8777530f68
|
[
"MIT"
] | null | null | null |
machineLearning/api/socketServer/src/config/__init__.py
|
guilhermeKodama/Closetinn
|
44d6792cfb0db9cce56db83f2e8c4b8777530f68
|
[
"MIT"
] | null | null | null |
machineLearning/api/socketServer/src/config/__init__.py
|
guilhermeKodama/Closetinn
|
44d6792cfb0db9cce56db83f2e8c4b8777530f68
|
[
"MIT"
] | null | null | null |
import os
if os.getenv('CLOSETINN_ENV', 'development') == 'development':
from development import *
elif os.getenv('CLOSETINN_ENV') == 'production':
print 'PRODUCTION'
from production import *
| 25.625
| 62
| 0.702439
| 23
| 205
| 6.173913
| 0.478261
| 0.112676
| 0.239437
| 0.28169
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.165854
| 205
| 7
| 63
| 29.285714
| 0.830409
| 0
| 0
| 0
| 0
| 0
| 0.331707
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.5
| null | null | 0.166667
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
c7be6f288664ac7715733f6bd85b56ac9e4f6357
| 122
|
py
|
Python
|
app/project/__init__.py
|
MashSoftware/flux-api
|
8763f752d44868b53a351f44f243ae760b28be31
|
[
"MIT"
] | 1
|
2021-06-19T18:06:34.000Z
|
2021-06-19T18:06:34.000Z
|
app/project/__init__.py
|
MashSoftware/flux-api
|
8763f752d44868b53a351f44f243ae760b28be31
|
[
"MIT"
] | null | null | null |
app/project/__init__.py
|
MashSoftware/flux-api
|
8763f752d44868b53a351f44f243ae760b28be31
|
[
"MIT"
] | null | null | null |
from flask import Blueprint
project = Blueprint("project", __name__)
from app.project import routes # noqa: E402, F401
| 20.333333
| 50
| 0.762295
| 16
| 122
| 5.5625
| 0.6875
| 0.359551
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.058252
| 0.155738
| 122
| 5
| 51
| 24.4
| 0.805825
| 0.131148
| 0
| 0
| 0
| 0
| 0.067308
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
|
0
| 6
|
4070742e277cd53474765332c944e9da1da29e95
| 4,889
|
py
|
Python
|
AutomationFramework/tests/qos/test_qos_scheduler.py
|
sbarguil/Testing-framework
|
f3ef69f1c4f0aeafd02e222d846162c711783b15
|
[
"Apache-2.0"
] | 1
|
2020-04-23T15:22:16.000Z
|
2020-04-23T15:22:16.000Z
|
AutomationFramework/tests/qos/test_qos_scheduler.py
|
sbarguil/Testing-framework
|
f3ef69f1c4f0aeafd02e222d846162c711783b15
|
[
"Apache-2.0"
] | 44
|
2020-08-13T19:35:41.000Z
|
2021-03-01T09:08:00.000Z
|
AutomationFramework/tests/qos/test_qos_scheduler.py
|
sbarguil/Testing-framework
|
f3ef69f1c4f0aeafd02e222d846162c711783b15
|
[
"Apache-2.0"
] | 6
|
2020-04-23T15:29:38.000Z
|
2022-03-03T14:23:38.000Z
|
import pytest
from AutomationFramework.page_objects.qos.qos import QOS
from AutomationFramework.tests.base_test import BaseTest
class TestQOSScheduler(BaseTest):
test_case_file = 'qos_scheduler.yml'
@pytest.mark.parametrize('create_page_object_arg', [{'test_case_file': test_case_file,
'test_case_name': 'qos_scheduler_policy_name',
'page_object_class': QOS}])
def test_qos_scheduler_policy_name(self, create_page_object):
create_page_object.execute_qos_scheduler_edit_config_test_case()
assert create_page_object.generic_validate_test_case_params(), create_page_object.get_test_case_description()
@pytest.mark.parametrize('create_page_object_arg', [{'test_case_file': test_case_file,
'test_case_name': 'qos_scheduler_sequence',
'page_object_class': QOS}])
def test_qos_scheduler_sequence(self, create_page_object):
create_page_object.execute_qos_scheduler_edit_config_test_case()
assert create_page_object.generic_validate_test_case_params(), create_page_object.get_test_case_description()
@pytest.mark.parametrize('create_page_object_arg', [{'test_case_file': test_case_file,
'test_case_name': 'qos_scheduler_id',
'page_object_class': QOS}])
def test_qos_scheduler_id(self, create_page_object):
create_page_object.execute_qos_scheduler_edit_config_test_case()
assert create_page_object.generic_validate_test_case_params(), create_page_object.get_test_case_description()
@pytest.mark.parametrize('multiple_create_page_objects_arg', [{'test_case_file': test_case_file,
'test_case_name': 'qos_scheduler_queue',
'page_object_rpcs_classes': [QOS, QOS],
'rpc_clean_order': [1, 0],
}])
def test_qos_scheduler_queue(self, multiple_create_page_objects):
multiple_create_page_objects[0].execute_qos_queue_edit_config_test_case()
assert multiple_create_page_objects[0].validate_rpc(), multiple_create_page_objects[0].get_test_case_description()
multiple_create_page_objects[1].execute_qos_scheduler_edit_config_test_case()
assert multiple_create_page_objects[1].validate_rpc(), multiple_create_page_objects[1].get_test_case_description()
@pytest.mark.parametrize('create_page_object_arg', [{'test_case_file': test_case_file,
'test_case_name': 'qos_scheduler_weight',
'page_object_class': QOS}])
def test_qos_scheduler_weight(self, create_page_object):
create_page_object.execute_qos_scheduler_edit_config_test_case()
assert create_page_object.generic_validate_test_case_params(), create_page_object.get_test_case_description()
@pytest.mark.parametrize('create_page_object_arg', [{'test_case_file': test_case_file,
'test_case_name': 'qos_scheduler_cir',
'page_object_class': QOS}])
def test_qos_scheduler_cir(self, create_page_object):
create_page_object.execute_qos_scheduler_edit_config_test_case()
assert create_page_object.generic_validate_test_case_params(), create_page_object.get_test_case_description()
@pytest.mark.parametrize('create_page_object_arg', [{'test_case_file': test_case_file,
'test_case_name': 'qos_scheduler_max_queue_depth_bytes',
'page_object_class': QOS}])
def test_qos_scheduler_max_queue_depth_bytes(self, create_page_object):
create_page_object.execute_qos_scheduler_edit_config_test_case()
assert create_page_object.generic_validate_test_case_params(), create_page_object.get_test_case_description()
@pytest.mark.parametrize('create_page_object_arg', [{'test_case_file': test_case_file,
'test_case_name': 'qos_scheduler_bc',
'page_object_class': QOS}])
def test_qos_scheduler_bc(self, create_page_object):
create_page_object.execute_qos_scheduler_edit_config_test_case()
assert create_page_object.generic_validate_test_case_params(), create_page_object.get_test_case_description()
| 71.897059
| 122
| 0.635713
| 539
| 4,889
| 5.148423
| 0.096475
| 0.144144
| 0.201802
| 0.092252
| 0.859099
| 0.838919
| 0.8
| 0.8
| 0.69982
| 0.664505
| 0
| 0.002309
| 0.291266
| 4,889
| 67
| 123
| 72.970149
| 0.798557
| 0
| 0
| 0.491228
| 0
| 0
| 0.154428
| 0.059726
| 0
| 0
| 0
| 0
| 0.157895
| 1
| 0.140351
| false
| 0
| 0.052632
| 0
| 0.22807
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
40d3f4875fbb175940229321cb61ab5959f2c22f
| 38
|
py
|
Python
|
python/testData/formatter/spacesBeforeFromImportSource_after.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2018-12-29T09:53:39.000Z
|
2018-12-29T09:53:42.000Z
|
python/testData/formatter/spacesBeforeFromImportSource_after.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/formatter/spacesBeforeFromImportSource_after.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
from sys import path
print(sys.path)
| 9.5
| 20
| 0.763158
| 7
| 38
| 4.142857
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 38
| 3
| 21
| 12.666667
| 0.90625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 6
|
40ec1fb276682d9b007fb24bdc29b75cbec9bb10
| 38
|
py
|
Python
|
replaybuffer/__init__.py
|
mattbev/replaybuffer
|
ed2f2bd8e10ab6f118bda49d8c4b26d257bcb5c5
|
[
"MIT"
] | null | null | null |
replaybuffer/__init__.py
|
mattbev/replaybuffer
|
ed2f2bd8e10ab6f118bda49d8c4b26d257bcb5c5
|
[
"MIT"
] | null | null | null |
replaybuffer/__init__.py
|
mattbev/replaybuffer
|
ed2f2bd8e10ab6f118bda49d8c4b26d257bcb5c5
|
[
"MIT"
] | null | null | null |
from .replaybuffer import ReplayBuffer
| 38
| 38
| 0.894737
| 4
| 38
| 8.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078947
| 38
| 1
| 38
| 38
| 0.971429
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
40fbe4ea8abc7bd803bfe7e42f0814470c5ff971
| 320
|
py
|
Python
|
toontown/coghq/DistributedSellbotHQDoorAI.py
|
TrueBlueDogemon/Toontown
|
ebed7fc3f2ef06a529cf02eda7ab46361aceef9d
|
[
"MIT"
] | 1
|
2021-02-25T06:22:49.000Z
|
2021-02-25T06:22:49.000Z
|
toontown/coghq/DistributedSellbotHQDoorAI.py
|
journeyfan/toontown-journey
|
7a4db507e5c1c38a014fc65588086d9655aaa5b4
|
[
"MIT"
] | null | null | null |
toontown/coghq/DistributedSellbotHQDoorAI.py
|
journeyfan/toontown-journey
|
7a4db507e5c1c38a014fc65588086d9655aaa5b4
|
[
"MIT"
] | 2
|
2020-09-26T20:37:18.000Z
|
2020-11-15T20:55:33.000Z
|
from direct.directnotify import DirectNotifyGlobal
from toontown.coghq.DistributedCogHQDoorAI import DistributedCogHQDoorAI
class DistributedSellbotHQDoorAI(DistributedCogHQDoorAI):
notify = DirectNotifyGlobal.directNotify.newCategory("DistributedSellbotHQDoorAI")
def informPlayer(self, todo0):
pass
| 32
| 86
| 0.834375
| 24
| 320
| 11.125
| 0.708333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003521
| 0.1125
| 320
| 9
| 87
| 35.555556
| 0.93662
| 0
| 0
| 0
| 0
| 0
| 0.081505
| 0.081505
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0.166667
| 0.333333
| 0
| 0.833333
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
9076935ffd8b2ebbae7f02ff6322f92fb6ea59e7
| 96
|
py
|
Python
|
venv/lib/python3.8/site-packages/requests_toolbelt/adapters/__init__.py
|
Retraces/UkraineBot
|
3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71
|
[
"MIT"
] | 2
|
2022-03-13T01:58:52.000Z
|
2022-03-31T06:07:54.000Z
|
venv/lib/python3.8/site-packages/requests_toolbelt/adapters/__init__.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | 19
|
2021-11-20T04:09:18.000Z
|
2022-03-23T15:05:55.000Z
|
venv/lib/python3.8/site-packages/requests_toolbelt/adapters/__init__.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | null | null | null |
/home/runner/.cache/pip/pool/68/77/c0/07b1ade470edaef35669139b72653725395fc112cb5d7c5920e6bd0569
| 96
| 96
| 0.895833
| 9
| 96
| 9.555556
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.458333
| 0
| 96
| 1
| 96
| 96
| 0.4375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 0
| 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 | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
90af3837824055232c7aa3f0afef3a3394468fe9
| 104
|
py
|
Python
|
tests/conftest.py
|
sethmccombs/tau-intro-to-pytest
|
a4e8983841e6afcae6b0264ff48e47c37778b443
|
[
"Apache-2.0"
] | null | null | null |
tests/conftest.py
|
sethmccombs/tau-intro-to-pytest
|
a4e8983841e6afcae6b0264ff48e47c37778b443
|
[
"Apache-2.0"
] | null | null | null |
tests/conftest.py
|
sethmccombs/tau-intro-to-pytest
|
a4e8983841e6afcae6b0264ff48e47c37778b443
|
[
"Apache-2.0"
] | null | null | null |
import pytest
from stuff.accum import Accumulator
@pytest.fixture
def accum():
return Accumulator()
| 17.333333
| 35
| 0.778846
| 13
| 104
| 6.230769
| 0.692308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.144231
| 104
| 6
| 36
| 17.333333
| 0.910112
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0.4
| 0.2
| 0.8
| 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
| 0
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 6
|
90f9b168505ebf6376594befb0593270974245eb
| 81
|
py
|
Python
|
xquantum/qdk/__init__.py
|
caccio/CrossQuantumClassifier
|
eede8a2d46220d9a9f2fbe8977abd98801c11d5a
|
[
"Apache-2.0"
] | null | null | null |
xquantum/qdk/__init__.py
|
caccio/CrossQuantumClassifier
|
eede8a2d46220d9a9f2fbe8977abd98801c11d5a
|
[
"Apache-2.0"
] | null | null | null |
xquantum/qdk/__init__.py
|
caccio/CrossQuantumClassifier
|
eede8a2d46220d9a9f2fbe8977abd98801c11d5a
|
[
"Apache-2.0"
] | null | null | null |
from .qdk import testModel, classifiedLableProbability, circuitDerivativeByParams
| 81
| 81
| 0.901235
| 6
| 81
| 12.166667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.061728
| 81
| 1
| 81
| 81
| 0.960526
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
290856475e810b21bcc547989d14e51c999c556a
| 761
|
py
|
Python
|
mini-apps/tic-tac-toe-full/tic_tac_toe_module.py
|
CrtomirJuren/python-delavnica
|
db96470d2cb1870390545cfbe511552a9ef08720
|
[
"MIT"
] | null | null | null |
mini-apps/tic-tac-toe-full/tic_tac_toe_module.py
|
CrtomirJuren/python-delavnica
|
db96470d2cb1870390545cfbe511552a9ef08720
|
[
"MIT"
] | null | null | null |
mini-apps/tic-tac-toe-full/tic_tac_toe_module.py
|
CrtomirJuren/python-delavnica
|
db96470d2cb1870390545cfbe511552a9ef08720
|
[
"MIT"
] | null | null | null |
import random
# def generate_board():
# """
# funkcija ki generira naključno tic tac toe board - igralno ploščo
# vzorci = ['X','O']
# nakljucen_vzorec = random.choice(vzorci)
# """
# return board
# def print_board(board):
# """ funkcija za lepši terminal print board """
# pass
# def display_board():
# pass
# def check_win_condition(board, player):
# """ """
# return win
# def check_tie_condition(board):
# """ """
# return tie
# def check_rows(board, player):
# """ """
# return win
# def check_columns(board, player):
# """ """
# return win
# def check_diagonals(board, player):
# """ """
# return win
# testiraj funkcijo
# print_board(generate_random_board())
| 15.854167
| 71
| 0.584757
| 83
| 761
| 5.192771
| 0.445783
| 0.092807
| 0.157773
| 0.185615
| 0.194896
| 0.194896
| 0
| 0
| 0
| 0
| 0
| 0
| 0.262812
| 761
| 48
| 72
| 15.854167
| 0.768271
| 0.881735
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
2921605405b3945fb53689ec7975f3876770448c
| 48
|
py
|
Python
|
safe/src/ManSite_vseukr/python/scripts/script4.py
|
Valentyn-coder/Manproject
|
e2f73fa82f3878ed424e603e0a859969ffa1c308
|
[
"MIT"
] | null | null | null |
safe/src/ManSite_vseukr/python/scripts/script4.py
|
Valentyn-coder/Manproject
|
e2f73fa82f3878ed424e603e0a859969ffa1c308
|
[
"MIT"
] | null | null | null |
safe/src/ManSite_vseukr/python/scripts/script4.py
|
Valentyn-coder/Manproject
|
e2f73fa82f3878ed424e603e0a859969ffa1c308
|
[
"MIT"
] | null | null | null |
import sys
print(str(sys.argv[1])[::3], end='')
| 24
| 36
| 0.604167
| 9
| 48
| 3.222222
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.045455
| 0.083333
| 48
| 2
| 36
| 24
| 0.613636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
|
0
| 6
|
2937f90faea482387318fd770284e4a0703f0297
| 57,156
|
py
|
Python
|
tests/test_h3.py
|
vranem1/aioquic
|
f3904da6022bdf687e476d74b7d4799dc4f92eca
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_h3.py
|
vranem1/aioquic
|
f3904da6022bdf687e476d74b7d4799dc4f92eca
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_h3.py
|
vranem1/aioquic
|
f3904da6022bdf687e476d74b7d4799dc4f92eca
|
[
"BSD-3-Clause"
] | 1
|
2022-03-06T10:04:52.000Z
|
2022-03-06T10:04:52.000Z
|
import binascii
from unittest import TestCase
from aioquic.buffer import Buffer, encode_uint_var
from aioquic.h3.connection import (
H3_ALPN,
ErrorCode,
FrameType,
FrameUnexpected,
H3Connection,
MessageError,
Setting,
SettingsError,
StreamType,
encode_frame,
encode_settings,
parse_settings,
validate_push_promise_headers,
validate_request_headers,
validate_response_headers,
validate_trailers,
)
from aioquic.h3.events import DataReceived, HeadersReceived, PushPromiseReceived
from aioquic.h3.exceptions import NoAvailablePushIDError
from aioquic.quic.configuration import QuicConfiguration
from aioquic.quic.events import StreamDataReceived
from aioquic.quic.logger import QuicLogger
from .test_connection import client_and_server, transfer
DUMMY_SETTINGS = {
Setting.QPACK_MAX_TABLE_CAPACITY: 4096,
Setting.QPACK_BLOCKED_STREAMS: 16,
Setting.DUMMY: 1,
}
def h3_client_and_server():
return client_and_server(
client_options={"alpn_protocols": H3_ALPN},
server_options={"alpn_protocols": H3_ALPN},
)
def h3_transfer(quic_sender, h3_receiver):
quic_receiver = h3_receiver._quic
if hasattr(quic_sender, "stream_queue"):
quic_receiver._events.extend(quic_sender.stream_queue)
quic_sender.stream_queue.clear()
else:
transfer(quic_sender, quic_receiver)
# process QUIC events
http_events = []
event = quic_receiver.next_event()
while event is not None:
http_events.extend(h3_receiver.handle_event(event))
event = quic_receiver.next_event()
return http_events
class FakeQuicConnection:
def __init__(self, configuration):
self.closed = None
self.configuration = configuration
self.stream_queue = []
self._events = []
self._next_stream_bidi = 0 if configuration.is_client else 1
self._next_stream_uni = 2 if configuration.is_client else 3
self._quic_logger = QuicLogger().start_trace(
is_client=configuration.is_client, odcid=b""
)
def close(self, error_code, reason_phrase):
self.closed = (error_code, reason_phrase)
def get_next_available_stream_id(self, is_unidirectional=False):
if is_unidirectional:
stream_id = self._next_stream_uni
self._next_stream_uni += 4
else:
stream_id = self._next_stream_bidi
self._next_stream_bidi += 4
return stream_id
def next_event(self):
try:
return self._events.pop(0)
except IndexError:
return None
def send_stream_data(self, stream_id, data, end_stream=False):
# chop up data into individual bytes
for c in data:
self.stream_queue.append(
StreamDataReceived(
data=bytes([c]), end_stream=False, stream_id=stream_id
)
)
if end_stream:
self.stream_queue.append(
StreamDataReceived(data=b"", end_stream=end_stream, stream_id=stream_id)
)
class H3ConnectionTest(TestCase):
maxDiff = None
def _make_request(self, h3_client, h3_server):
quic_client = h3_client._quic
quic_server = h3_server._quic
# send request
stream_id = quic_client.get_next_available_stream_id()
h3_client.send_headers(
stream_id=stream_id,
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
(b"x-foo", b"client"),
],
)
h3_client.send_data(stream_id=stream_id, data=b"", end_stream=True)
# receive request
events = h3_transfer(quic_client, h3_server)
self.assertEqual(
events,
[
HeadersReceived(
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
(b"x-foo", b"client"),
],
stream_id=stream_id,
stream_ended=False,
),
DataReceived(data=b"", stream_id=stream_id, stream_ended=True),
],
)
# send response
h3_server.send_headers(
stream_id=stream_id,
headers=[
(b":status", b"200"),
(b"content-type", b"text/html; charset=utf-8"),
(b"x-foo", b"server"),
],
)
h3_server.send_data(
stream_id=stream_id,
data=b"<html><body>hello</body></html>",
end_stream=True,
)
# receive response
events = h3_transfer(quic_server, h3_client)
self.assertEqual(
events,
[
HeadersReceived(
headers=[
(b":status", b"200"),
(b"content-type", b"text/html; charset=utf-8"),
(b"x-foo", b"server"),
],
stream_id=stream_id,
stream_ended=False,
),
DataReceived(
data=b"<html><body>hello</body></html>",
stream_id=stream_id,
stream_ended=True,
),
],
)
def test_handle_control_frame_headers(self):
"""
We should not receive HEADERS on the control stream.
"""
quic_server = FakeQuicConnection(
configuration=QuicConfiguration(is_client=False)
)
h3_server = H3Connection(quic_server)
# receive SETTINGS
h3_server.handle_event(
StreamDataReceived(
stream_id=2,
data=encode_uint_var(StreamType.CONTROL)
+ encode_frame(FrameType.SETTINGS, encode_settings(DUMMY_SETTINGS)),
end_stream=False,
)
)
self.assertIsNone(quic_server.closed)
# receive unexpected HEADERS
h3_server.handle_event(
StreamDataReceived(
stream_id=2,
data=encode_frame(FrameType.HEADERS, b""),
end_stream=False,
)
)
self.assertEqual(
quic_server.closed,
(ErrorCode.H3_FRAME_UNEXPECTED, "Invalid frame type on control stream"),
)
def test_handle_control_frame_max_push_id_from_client_before_settings(self):
"""
A server should not receive MAX_PUSH_ID before SETTINGS.
"""
quic_server = FakeQuicConnection(
configuration=QuicConfiguration(is_client=False)
)
h3_server = H3Connection(quic_server)
# receive unexpected MAX_PUSH_ID
h3_server.handle_event(
StreamDataReceived(
stream_id=2,
data=encode_uint_var(StreamType.CONTROL)
+ encode_frame(FrameType.MAX_PUSH_ID, b""),
end_stream=False,
)
)
self.assertEqual(
quic_server.closed,
(ErrorCode.H3_MISSING_SETTINGS, ""),
)
def test_handle_control_frame_max_push_id_from_server(self):
"""
A client should not receive MAX_PUSH_ID on the control stream.
"""
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
h3_client = H3Connection(quic_client)
# receive SETTINGS
h3_client.handle_event(
StreamDataReceived(
stream_id=3,
data=encode_uint_var(StreamType.CONTROL)
+ encode_frame(FrameType.SETTINGS, encode_settings(DUMMY_SETTINGS)),
end_stream=False,
)
)
self.assertIsNone(quic_client.closed)
# receive unexpected MAX_PUSH_ID
h3_client.handle_event(
StreamDataReceived(
stream_id=3,
data=encode_frame(FrameType.MAX_PUSH_ID, b""),
end_stream=False,
)
)
self.assertEqual(
quic_client.closed,
(ErrorCode.H3_FRAME_UNEXPECTED, "Servers must not send MAX_PUSH_ID"),
)
def test_handle_control_settings_twice(self):
"""
We should not receive HEADERS on the control stream.
"""
quic_server = FakeQuicConnection(
configuration=QuicConfiguration(is_client=False)
)
h3_server = H3Connection(quic_server)
# receive SETTINGS
h3_server.handle_event(
StreamDataReceived(
stream_id=2,
data=encode_uint_var(StreamType.CONTROL)
+ encode_frame(FrameType.SETTINGS, encode_settings(DUMMY_SETTINGS)),
end_stream=False,
)
)
self.assertIsNone(quic_server.closed)
# receive unexpected SETTINGS
h3_server.handle_event(
StreamDataReceived(
stream_id=2,
data=encode_frame(FrameType.SETTINGS, encode_settings(DUMMY_SETTINGS)),
end_stream=False,
)
)
self.assertEqual(
quic_server.closed,
(ErrorCode.H3_FRAME_UNEXPECTED, "SETTINGS have already been received"),
)
def test_handle_control_stream_close(self):
"""
Closing the control stream is not allowed.
"""
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
h3_client = H3Connection(quic_client)
# receive SETTINGS
h3_client.handle_event(
StreamDataReceived(
stream_id=3,
data=encode_uint_var(StreamType.CONTROL)
+ encode_frame(FrameType.SETTINGS, encode_settings(DUMMY_SETTINGS)),
end_stream=False,
)
)
self.assertIsNone(quic_client.closed)
# receive unexpected FIN
h3_client.handle_event(
StreamDataReceived(
stream_id=3,
data=b"",
end_stream=True,
)
)
self.assertEqual(
quic_client.closed,
(
ErrorCode.H3_CLOSED_CRITICAL_STREAM,
"Closing control stream is not allowed",
),
)
def test_handle_control_stream_duplicate(self):
"""
We must only receive a single control stream.
"""
quic_server = FakeQuicConnection(
configuration=QuicConfiguration(is_client=False)
)
h3_server = H3Connection(quic_server)
# receive a first control stream
h3_server.handle_event(
StreamDataReceived(
stream_id=2, data=encode_uint_var(StreamType.CONTROL), end_stream=False
)
)
# receive a second control stream
h3_server.handle_event(
StreamDataReceived(
stream_id=6, data=encode_uint_var(StreamType.CONTROL), end_stream=False
)
)
self.assertEqual(
quic_server.closed,
(
ErrorCode.H3_STREAM_CREATION_ERROR,
"Only one control stream is allowed",
),
)
def test_handle_push_frame_wrong_frame_type(self):
"""
We should not received SETTINGS on a push stream.
"""
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
h3_client = H3Connection(quic_client)
h3_client.handle_event(
StreamDataReceived(
stream_id=15,
data=encode_uint_var(StreamType.PUSH)
+ encode_uint_var(0) # push ID
+ encode_frame(FrameType.SETTINGS, b""),
end_stream=False,
)
)
self.assertEqual(
quic_client.closed,
(ErrorCode.H3_FRAME_UNEXPECTED, "Invalid frame type on push stream"),
)
def test_handle_qpack_decoder_duplicate(self):
"""
We must only receive a single QPACK decoder stream.
"""
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
h3_client = H3Connection(quic_client)
# receive a first decoder stream
h3_client.handle_event(
StreamDataReceived(
stream_id=11,
data=encode_uint_var(StreamType.QPACK_DECODER),
end_stream=False,
)
)
# receive a second decoder stream
h3_client.handle_event(
StreamDataReceived(
stream_id=15,
data=encode_uint_var(StreamType.QPACK_DECODER),
end_stream=False,
)
)
self.assertEqual(
quic_client.closed,
(
ErrorCode.H3_STREAM_CREATION_ERROR,
"Only one QPACK decoder stream is allowed",
),
)
def test_handle_qpack_decoder_stream_error(self):
"""
Receiving garbage on the QPACK decoder stream triggers an exception.
"""
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
h3_client = H3Connection(quic_client)
h3_client.handle_event(
StreamDataReceived(
stream_id=11,
data=encode_uint_var(StreamType.QPACK_DECODER) + b"\x00",
end_stream=False,
)
)
self.assertEqual(quic_client.closed, (ErrorCode.QPACK_DECODER_STREAM_ERROR, ""))
def test_handle_qpack_encoder_duplicate(self):
"""
We must only receive a single QPACK encoder stream.
"""
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
h3_client = H3Connection(quic_client)
# receive a first encoder stream
h3_client.handle_event(
StreamDataReceived(
stream_id=11,
data=encode_uint_var(StreamType.QPACK_ENCODER),
end_stream=False,
)
)
# receive a second encoder stream
h3_client.handle_event(
StreamDataReceived(
stream_id=15,
data=encode_uint_var(StreamType.QPACK_ENCODER),
end_stream=False,
)
)
self.assertEqual(
quic_client.closed,
(
ErrorCode.H3_STREAM_CREATION_ERROR,
"Only one QPACK encoder stream is allowed",
),
)
def test_handle_qpack_encoder_stream_error(self):
"""
Receiving garbage on the QPACK encoder stream triggers an exception.
"""
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
h3_client = H3Connection(quic_client)
h3_client.handle_event(
StreamDataReceived(
stream_id=7,
data=encode_uint_var(StreamType.QPACK_ENCODER) + b"\x00",
end_stream=False,
)
)
self.assertEqual(quic_client.closed, (ErrorCode.QPACK_ENCODER_STREAM_ERROR, ""))
def test_handle_request_frame_bad_headers(self):
"""
We should not receive HEADERS which cannot be decoded.
"""
quic_server = FakeQuicConnection(
configuration=QuicConfiguration(is_client=False)
)
h3_server = H3Connection(quic_server)
h3_server.handle_event(
StreamDataReceived(
stream_id=0, data=encode_frame(FrameType.HEADERS, b""), end_stream=False
)
)
self.assertEqual(quic_server.closed, (ErrorCode.QPACK_DECOMPRESSION_FAILED, ""))
def test_handle_request_frame_data_before_headers(self):
"""
We should not receive DATA before receiving headers.
"""
quic_server = FakeQuicConnection(
configuration=QuicConfiguration(is_client=False)
)
h3_server = H3Connection(quic_server)
h3_server.handle_event(
StreamDataReceived(
stream_id=0, data=encode_frame(FrameType.DATA, b""), end_stream=False
)
)
self.assertEqual(
quic_server.closed,
(
ErrorCode.H3_FRAME_UNEXPECTED,
"DATA frame is not allowed in this state",
),
)
def test_handle_request_frame_headers_after_trailers(self):
"""
We should not receive HEADERS after receiving trailers.
"""
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
quic_server = FakeQuicConnection(
configuration=QuicConfiguration(is_client=False)
)
h3_client = H3Connection(quic_client)
h3_server = H3Connection(quic_server)
stream_id = quic_client.get_next_available_stream_id()
h3_client.send_headers(
stream_id=stream_id,
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
],
)
h3_client.send_headers(
stream_id=stream_id, headers=[(b"x-some-trailer", b"foo")], end_stream=True
)
h3_transfer(quic_client, h3_server)
h3_server.handle_event(
StreamDataReceived(
stream_id=0, data=encode_frame(FrameType.HEADERS, b""), end_stream=False
)
)
self.assertEqual(
quic_server.closed,
(
ErrorCode.H3_FRAME_UNEXPECTED,
"HEADERS frame is not allowed in this state",
),
)
def test_handle_request_frame_push_promise_from_client(self):
"""
A server should not receive PUSH_PROMISE on a request stream.
"""
quic_server = FakeQuicConnection(
configuration=QuicConfiguration(is_client=False)
)
h3_server = H3Connection(quic_server)
h3_server.handle_event(
StreamDataReceived(
stream_id=0,
data=encode_frame(FrameType.PUSH_PROMISE, b""),
end_stream=False,
)
)
self.assertEqual(
quic_server.closed,
(ErrorCode.H3_FRAME_UNEXPECTED, "Clients must not send PUSH_PROMISE"),
)
def test_handle_request_frame_wrong_frame_type(self):
quic_server = FakeQuicConnection(
configuration=QuicConfiguration(is_client=False)
)
h3_server = H3Connection(quic_server)
h3_server.handle_event(
StreamDataReceived(
stream_id=0,
data=encode_frame(FrameType.SETTINGS, b""),
end_stream=False,
)
)
self.assertEqual(
quic_server.closed,
(ErrorCode.H3_FRAME_UNEXPECTED, "Invalid frame type on request stream"),
)
def test_request(self):
with h3_client_and_server() as (quic_client, quic_server):
h3_client = H3Connection(quic_client)
h3_server = H3Connection(quic_server)
# make first request
self._make_request(h3_client, h3_server)
# make second request
self._make_request(h3_client, h3_server)
# make third request -> dynamic table
self._make_request(h3_client, h3_server)
def test_request_headers_only(self):
with h3_client_and_server() as (quic_client, quic_server):
h3_client = H3Connection(quic_client)
h3_server = H3Connection(quic_server)
# send request
stream_id = quic_client.get_next_available_stream_id()
h3_client.send_headers(
stream_id=stream_id,
headers=[
(b":method", b"HEAD"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
(b"x-foo", b"client"),
],
end_stream=True,
)
# receive request
events = h3_transfer(quic_client, h3_server)
self.assertEqual(
events,
[
HeadersReceived(
headers=[
(b":method", b"HEAD"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
(b"x-foo", b"client"),
],
stream_id=stream_id,
stream_ended=True,
)
],
)
# send response
h3_server.send_headers(
stream_id=stream_id,
headers=[
(b":status", b"200"),
(b"content-type", b"text/html; charset=utf-8"),
(b"x-foo", b"server"),
],
end_stream=True,
)
# receive response
events = h3_transfer(quic_server, h3_client)
self.assertEqual(
events,
[
HeadersReceived(
headers=[
(b":status", b"200"),
(b"content-type", b"text/html; charset=utf-8"),
(b"x-foo", b"server"),
],
stream_id=stream_id,
stream_ended=True,
)
],
)
def test_request_fragmented_frame(self):
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
quic_server = FakeQuicConnection(
configuration=QuicConfiguration(is_client=False)
)
h3_client = H3Connection(quic_client)
h3_server = H3Connection(quic_server)
# send request
stream_id = quic_client.get_next_available_stream_id()
h3_client.send_headers(
stream_id=stream_id,
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
(b"x-foo", b"client"),
],
)
h3_client.send_data(stream_id=stream_id, data=b"hello", end_stream=True)
# receive request
events = h3_transfer(quic_client, h3_server)
self.assertEqual(
events,
[
HeadersReceived(
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
(b"x-foo", b"client"),
],
stream_id=stream_id,
stream_ended=False,
),
DataReceived(data=b"h", stream_id=0, stream_ended=False),
DataReceived(data=b"e", stream_id=0, stream_ended=False),
DataReceived(data=b"l", stream_id=0, stream_ended=False),
DataReceived(data=b"l", stream_id=0, stream_ended=False),
DataReceived(data=b"o", stream_id=0, stream_ended=False),
DataReceived(data=b"", stream_id=0, stream_ended=True),
],
)
# send push promise
push_stream_id = h3_server.send_push_promise(
stream_id=stream_id,
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/app.txt"),
],
)
self.assertEqual(push_stream_id, 15)
# send response
h3_server.send_headers(
stream_id=stream_id,
headers=[
(b":status", b"200"),
(b"content-type", b"text/html; charset=utf-8"),
],
end_stream=False,
)
h3_server.send_data(stream_id=stream_id, data=b"html", end_stream=True)
# fulfill push promise
h3_server.send_headers(
stream_id=push_stream_id,
headers=[(b":status", b"200"), (b"content-type", b"text/plain")],
end_stream=False,
)
h3_server.send_data(stream_id=push_stream_id, data=b"text", end_stream=True)
# receive push promise / reponse
events = h3_transfer(quic_server, h3_client)
self.assertEqual(
events,
[
PushPromiseReceived(
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/app.txt"),
],
push_id=0,
stream_id=stream_id,
),
HeadersReceived(
headers=[
(b":status", b"200"),
(b"content-type", b"text/html; charset=utf-8"),
],
stream_id=0,
stream_ended=False,
),
DataReceived(data=b"h", stream_id=0, stream_ended=False),
DataReceived(data=b"t", stream_id=0, stream_ended=False),
DataReceived(data=b"m", stream_id=0, stream_ended=False),
DataReceived(data=b"l", stream_id=0, stream_ended=False),
DataReceived(data=b"", stream_id=0, stream_ended=True),
HeadersReceived(
headers=[(b":status", b"200"), (b"content-type", b"text/plain")],
stream_id=15,
stream_ended=False,
push_id=0,
),
DataReceived(data=b"t", stream_id=15, stream_ended=False, push_id=0),
DataReceived(data=b"e", stream_id=15, stream_ended=False, push_id=0),
DataReceived(data=b"x", stream_id=15, stream_ended=False, push_id=0),
DataReceived(data=b"t", stream_id=15, stream_ended=False, push_id=0),
DataReceived(data=b"", stream_id=15, stream_ended=True, push_id=0),
],
)
def test_request_with_server_push(self):
with h3_client_and_server() as (quic_client, quic_server):
h3_client = H3Connection(quic_client)
h3_server = H3Connection(quic_server)
# send request
stream_id = quic_client.get_next_available_stream_id()
h3_client.send_headers(
stream_id=stream_id,
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
],
end_stream=True,
)
# receive request
events = h3_transfer(quic_client, h3_server)
self.assertEqual(
events,
[
HeadersReceived(
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
],
stream_id=stream_id,
stream_ended=True,
)
],
)
# send push promises
push_stream_id_css = h3_server.send_push_promise(
stream_id=stream_id,
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/app.css"),
],
)
self.assertEqual(push_stream_id_css, 15)
push_stream_id_js = h3_server.send_push_promise(
stream_id=stream_id,
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/app.js"),
],
)
self.assertEqual(push_stream_id_js, 19)
# send response
h3_server.send_headers(
stream_id=stream_id,
headers=[
(b":status", b"200"),
(b"content-type", b"text/html; charset=utf-8"),
],
end_stream=False,
)
h3_server.send_data(
stream_id=stream_id,
data=b"<html><body>hello</body></html>",
end_stream=True,
)
# fulfill push promises
h3_server.send_headers(
stream_id=push_stream_id_css,
headers=[(b":status", b"200"), (b"content-type", b"text/css")],
end_stream=False,
)
h3_server.send_data(
stream_id=push_stream_id_css,
data=b"body { color: pink }",
end_stream=True,
)
h3_server.send_headers(
stream_id=push_stream_id_js,
headers=[
(b":status", b"200"),
(b"content-type", b"application/javascript"),
],
end_stream=False,
)
h3_server.send_data(
stream_id=push_stream_id_js, data=b"alert('howdee');", end_stream=True
)
# receive push promises, response and push responses
events = h3_transfer(quic_server, h3_client)
self.assertEqual(
events,
[
PushPromiseReceived(
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/app.css"),
],
push_id=0,
stream_id=stream_id,
),
PushPromiseReceived(
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/app.js"),
],
push_id=1,
stream_id=stream_id,
),
HeadersReceived(
headers=[
(b":status", b"200"),
(b"content-type", b"text/html; charset=utf-8"),
],
stream_id=stream_id,
stream_ended=False,
),
DataReceived(
data=b"<html><body>hello</body></html>",
stream_id=stream_id,
stream_ended=True,
),
HeadersReceived(
headers=[(b":status", b"200"), (b"content-type", b"text/css")],
push_id=0,
stream_id=push_stream_id_css,
stream_ended=False,
),
DataReceived(
data=b"body { color: pink }",
push_id=0,
stream_id=push_stream_id_css,
stream_ended=True,
),
HeadersReceived(
headers=[
(b":status", b"200"),
(b"content-type", b"application/javascript"),
],
push_id=1,
stream_id=push_stream_id_js,
stream_ended=False,
),
DataReceived(
data=b"alert('howdee');",
push_id=1,
stream_id=push_stream_id_js,
stream_ended=True,
),
],
)
def test_request_with_server_push_max_push_id(self):
with h3_client_and_server() as (quic_client, quic_server):
h3_client = H3Connection(quic_client)
h3_server = H3Connection(quic_server)
# send request
stream_id = quic_client.get_next_available_stream_id()
h3_client.send_headers(
stream_id=stream_id,
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
],
end_stream=True,
)
# receive request
events = h3_transfer(quic_client, h3_server)
self.assertEqual(
events,
[
HeadersReceived(
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
],
stream_id=stream_id,
stream_ended=True,
)
],
)
# send push promises
for i in range(0, 8):
h3_server.send_push_promise(
stream_id=stream_id,
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", "/{}.css".format(i).encode("ascii")),
],
)
# send one too many
with self.assertRaises(NoAvailablePushIDError):
h3_server.send_push_promise(
stream_id=stream_id,
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/8.css"),
],
)
def test_send_data_after_trailers(self):
"""
We should not send DATA after trailers.
"""
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
h3_client = H3Connection(quic_client)
stream_id = quic_client.get_next_available_stream_id()
h3_client.send_headers(
stream_id=stream_id,
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
],
)
h3_client.send_headers(
stream_id=stream_id, headers=[(b"x-some-trailer", b"foo")], end_stream=False
)
with self.assertRaises(FrameUnexpected):
h3_client.send_data(stream_id=stream_id, data=b"hello", end_stream=False)
def test_send_data_before_headers(self):
"""
We should not send DATA before headers.
"""
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
h3_client = H3Connection(quic_client)
stream_id = quic_client.get_next_available_stream_id()
with self.assertRaises(FrameUnexpected):
h3_client.send_data(stream_id=stream_id, data=b"hello", end_stream=False)
def test_send_headers_after_trailers(self):
"""
We should not send HEADERS after trailers.
"""
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
h3_client = H3Connection(quic_client)
stream_id = quic_client.get_next_available_stream_id()
h3_client.send_headers(
stream_id=stream_id,
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
],
)
h3_client.send_headers(
stream_id=stream_id, headers=[(b"x-some-trailer", b"foo")], end_stream=False
)
with self.assertRaises(FrameUnexpected):
h3_client.send_headers(
stream_id=stream_id,
headers=[(b"x-other-trailer", b"foo")],
end_stream=False,
)
def test_blocked_stream(self):
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
h3_client = H3Connection(quic_client)
h3_client.handle_event(
StreamDataReceived(
stream_id=3,
data=binascii.unhexlify(
"0004170150000680020000074064091040bcc0000000faceb00c"
),
end_stream=False,
)
)
h3_client.handle_event(
StreamDataReceived(stream_id=7, data=b"\x02", end_stream=False)
)
h3_client.handle_event(
StreamDataReceived(stream_id=11, data=b"\x03", end_stream=False)
)
h3_client.handle_event(
StreamDataReceived(
stream_id=0, data=binascii.unhexlify("01040280d910"), end_stream=False
)
)
h3_client.handle_event(
StreamDataReceived(
stream_id=0,
data=binascii.unhexlify(
"00408d796f752072656163686564206d766673742e6e65742c20726561636820"
"746865202f6563686f20656e64706f696e7420666f7220616e206563686f2072"
"6573706f6e7365207175657279202f3c6e756d6265723e20656e64706f696e74"
"7320666f722061207661726961626c652073697a6520726573706f6e73652077"
"6974682072616e646f6d206279746573"
),
end_stream=True,
)
)
self.assertEqual(
h3_client.handle_event(
StreamDataReceived(
stream_id=7,
data=binascii.unhexlify(
"3fe101c696d07abe941094cb6d0a08017d403971966e32ca98b46f"
),
end_stream=False,
)
),
[
HeadersReceived(
headers=[
(b":status", b"200"),
(b"date", b"Mon, 22 Jul 2019 06:33:33 GMT"),
],
stream_id=0,
stream_ended=False,
),
DataReceived(
data=(
b"you reached mvfst.net, reach the /echo endpoint for an "
b"echo response query /<number> endpoints for a variable "
b"size response with random bytes"
),
stream_id=0,
stream_ended=True,
),
],
)
def test_blocked_stream_trailer(self):
quic_client = FakeQuicConnection(
configuration=QuicConfiguration(is_client=True)
)
h3_client = H3Connection(quic_client)
h3_client.handle_event(
StreamDataReceived(
stream_id=3,
data=binascii.unhexlify(
"0004170150000680020000074064091040bcc0000000faceb00c"
),
end_stream=False,
)
)
h3_client.handle_event(
StreamDataReceived(stream_id=7, data=b"\x02", end_stream=False)
)
h3_client.handle_event(
StreamDataReceived(stream_id=11, data=b"\x03", end_stream=False)
)
self.assertEqual(
h3_client.handle_event(
StreamDataReceived(
stream_id=0,
data=binascii.unhexlify(
"011b0000d95696d07abe941094cb6d0a08017d403971966e32ca98b46f"
),
end_stream=False,
)
),
[
HeadersReceived(
headers=[
(b":status", b"200"),
(b"date", b"Mon, 22 Jul 2019 06:33:33 GMT"),
],
stream_id=0,
stream_ended=False,
)
],
)
self.assertEqual(
h3_client.handle_event(
StreamDataReceived(
stream_id=0,
data=binascii.unhexlify(
"00408d796f752072656163686564206d766673742e6e65742c20726561636820"
"746865202f6563686f20656e64706f696e7420666f7220616e206563686f2072"
"6573706f6e7365207175657279202f3c6e756d6265723e20656e64706f696e74"
"7320666f722061207661726961626c652073697a6520726573706f6e73652077"
"6974682072616e646f6d206279746573"
),
end_stream=False,
)
),
[
DataReceived(
data=(
b"you reached mvfst.net, reach the /echo endpoint for an "
b"echo response query /<number> endpoints for a variable "
b"size response with random bytes"
),
stream_id=0,
stream_ended=False,
)
],
)
self.assertEqual(
h3_client.handle_event(
StreamDataReceived(
stream_id=0, data=binascii.unhexlify("0103028010"), end_stream=True
)
),
[],
)
self.assertEqual(
h3_client.handle_event(
StreamDataReceived(
stream_id=7,
data=binascii.unhexlify("6af2b20f49564d833505b38294e7"),
end_stream=False,
)
),
[
HeadersReceived(
headers=[(b"x-some-trailer", b"foo")],
stream_id=0,
stream_ended=True,
push_id=None,
)
],
)
def test_uni_stream_grease(self):
with h3_client_and_server() as (quic_client, quic_server):
h3_server = H3Connection(quic_server)
quic_client.send_stream_data(
14, b"\xff\xff\xff\xff\xff\xff\xff\xfeGREASE is the word"
)
self.assertEqual(h3_transfer(quic_client, h3_server), [])
def test_request_with_trailers(self):
with h3_client_and_server() as (quic_client, quic_server):
h3_client = H3Connection(quic_client)
h3_server = H3Connection(quic_server)
# send request with trailers
stream_id = quic_client.get_next_available_stream_id()
h3_client.send_headers(
stream_id=stream_id,
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
],
end_stream=False,
)
h3_client.send_headers(
stream_id=stream_id,
headers=[(b"x-some-trailer", b"foo")],
end_stream=True,
)
# receive request
events = h3_transfer(quic_client, h3_server)
self.assertEqual(
events,
[
HeadersReceived(
headers=[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":authority", b"localhost"),
(b":path", b"/"),
],
stream_id=stream_id,
stream_ended=False,
),
HeadersReceived(
headers=[(b"x-some-trailer", b"foo")],
stream_id=stream_id,
stream_ended=True,
),
],
)
# send response
h3_server.send_headers(
stream_id=stream_id,
headers=[
(b":status", b"200"),
(b"content-type", b"text/html; charset=utf-8"),
],
end_stream=False,
)
h3_server.send_data(
stream_id=stream_id,
data=b"<html><body>hello</body></html>",
end_stream=False,
)
h3_server.send_headers(
stream_id=stream_id,
headers=[(b"x-some-trailer", b"bar")],
end_stream=True,
)
# receive response
events = h3_transfer(quic_server, h3_client)
self.assertEqual(
events,
[
HeadersReceived(
headers=[
(b":status", b"200"),
(b"content-type", b"text/html; charset=utf-8"),
],
stream_id=stream_id,
stream_ended=False,
),
DataReceived(
data=b"<html><body>hello</body></html>",
stream_id=stream_id,
stream_ended=False,
),
HeadersReceived(
headers=[(b"x-some-trailer", b"bar")],
stream_id=stream_id,
stream_ended=True,
),
],
)
def test_uni_stream_type(self):
with h3_client_and_server() as (quic_client, quic_server):
h3_server = H3Connection(quic_server)
# unknown stream type 9
stream_id = quic_client.get_next_available_stream_id(is_unidirectional=True)
self.assertEqual(stream_id, 2)
quic_client.send_stream_data(stream_id, b"\x09")
self.assertEqual(h3_transfer(quic_client, h3_server), [])
self.assertEqual(list(h3_server._stream.keys()), [2])
self.assertEqual(h3_server._stream[2].buffer, b"")
self.assertEqual(h3_server._stream[2].stream_type, 9)
# unknown stream type 64, one byte at a time
stream_id = quic_client.get_next_available_stream_id(is_unidirectional=True)
self.assertEqual(stream_id, 6)
quic_client.send_stream_data(stream_id, b"\x40")
self.assertEqual(h3_transfer(quic_client, h3_server), [])
self.assertEqual(list(h3_server._stream.keys()), [2, 6])
self.assertEqual(h3_server._stream[2].buffer, b"")
self.assertEqual(h3_server._stream[2].stream_type, 9)
self.assertEqual(h3_server._stream[6].buffer, b"\x40")
self.assertEqual(h3_server._stream[6].stream_type, None)
quic_client.send_stream_data(stream_id, b"\x40")
self.assertEqual(h3_transfer(quic_client, h3_server), [])
self.assertEqual(list(h3_server._stream.keys()), [2, 6])
self.assertEqual(h3_server._stream[2].buffer, b"")
self.assertEqual(h3_server._stream[2].stream_type, 9)
self.assertEqual(h3_server._stream[6].buffer, b"")
self.assertEqual(h3_server._stream[6].stream_type, 64)
class H3ParserTest(TestCase):
def test_parse_settings_duplicate_identifier(self):
buf = Buffer(capacity=1024)
buf.push_uint_var(1)
buf.push_uint_var(123)
buf.push_uint_var(1)
buf.push_uint_var(456)
with self.assertRaises(SettingsError) as cm:
parse_settings(buf.data)
self.assertEqual(
cm.exception.reason_phrase, "Setting identifier 0x1 is included twice"
)
def test_parse_settings_reserved_identifier(self):
buf = Buffer(capacity=1024)
buf.push_uint_var(0)
buf.push_uint_var(123)
with self.assertRaises(SettingsError) as cm:
parse_settings(buf.data)
self.assertEqual(
cm.exception.reason_phrase, "Setting identifier 0x0 is reserved"
)
def test_validate_push_promise_headers(self):
# OK
validate_push_promise_headers(
[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":path", b"/"),
(b":authority", b"localhost"),
]
)
validate_push_promise_headers(
[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":path", b"/"),
(b":authority", b"localhost"),
(b"x-foo", b"bar"),
]
)
# invalid pseudo-header
with self.assertRaises(MessageError) as cm:
validate_push_promise_headers([(b":status", b"foo")])
self.assertEqual(
cm.exception.reason_phrase, "Pseudo-header b':status' is not valid"
)
# duplicate pseudo-header
with self.assertRaises(MessageError) as cm:
validate_push_promise_headers(
[
(b":method", b"GET"),
(b":method", b"POST"),
]
)
self.assertEqual(
cm.exception.reason_phrase, "Pseudo-header b':method' is included twice"
)
# pseudo-header after regular headers
with self.assertRaises(MessageError) as cm:
validate_push_promise_headers(
[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":path", b"/"),
(b"x-foo", b"bar"),
(b":authority", b"foo"),
]
)
self.assertEqual(
cm.exception.reason_phrase,
"Pseudo-header b':authority' is not allowed after regular headers",
)
# missing pseudo-headers
with self.assertRaises(MessageError) as cm:
validate_push_promise_headers(
[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":path", b"/"),
]
)
self.assertEqual(
cm.exception.reason_phrase,
"Pseudo-headers [b':authority'] are missing",
)
def test_validate_request_headers(self):
# OK
validate_request_headers(
[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":path", b"/"),
(b":authority", b"localhost"),
]
)
validate_request_headers(
[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":path", b"/"),
(b":authority", b"localhost"),
(b"x-foo", b"bar"),
]
)
# uppercase header
with self.assertRaises(MessageError) as cm:
validate_request_headers([(b"X-Foo", b"foo")])
self.assertEqual(
cm.exception.reason_phrase, "Header b'X-Foo' contains uppercase letters"
)
# invalid pseudo-header
with self.assertRaises(MessageError) as cm:
validate_request_headers([(b":status", b"foo")])
self.assertEqual(
cm.exception.reason_phrase, "Pseudo-header b':status' is not valid"
)
# duplicate pseudo-header
with self.assertRaises(MessageError) as cm:
validate_request_headers(
[
(b":method", b"GET"),
(b":method", b"POST"),
]
)
self.assertEqual(
cm.exception.reason_phrase, "Pseudo-header b':method' is included twice"
)
# pseudo-header after regular headers
with self.assertRaises(MessageError) as cm:
validate_request_headers(
[
(b":method", b"GET"),
(b":scheme", b"https"),
(b":path", b"/"),
(b"x-foo", b"bar"),
(b":authority", b"foo"),
]
)
self.assertEqual(
cm.exception.reason_phrase,
"Pseudo-header b':authority' is not allowed after regular headers",
)
# missing pseudo-headers
with self.assertRaises(MessageError) as cm:
validate_request_headers([(b":method", b"GET")])
self.assertEqual(
cm.exception.reason_phrase,
"Pseudo-headers [b':path', b':scheme'] are missing",
)
# empty :authority pseudo-header for http/https
for scheme in [b"http", b"https"]:
with self.assertRaises(MessageError) as cm:
validate_request_headers(
[
(b":method", b"GET"),
(b":scheme", scheme),
(b":authority", b""),
(b":path", b"/"),
]
)
self.assertEqual(
cm.exception.reason_phrase,
"Pseudo-header b':authority' cannot be empty",
)
# empty :path pseudo-header for http/https
for scheme in [b"http", b"https"]:
with self.assertRaises(MessageError) as cm:
validate_request_headers(
[
(b":method", b"GET"),
(b":scheme", scheme),
(b":authority", b"localhost"),
(b":path", b""),
]
)
self.assertEqual(
cm.exception.reason_phrase, "Pseudo-header b':path' cannot be empty"
)
def test_validate_response_headers(self):
# OK
validate_response_headers([(b":status", b"200")])
validate_response_headers(
[
(b":status", b"200"),
(b"x-foo", b"bar"),
]
)
# invalid pseudo-header
with self.assertRaises(MessageError) as cm:
validate_response_headers([(b":method", b"GET")])
self.assertEqual(
cm.exception.reason_phrase, "Pseudo-header b':method' is not valid"
)
# duplicate pseudo-header
with self.assertRaises(MessageError) as cm:
validate_response_headers(
[
(b":status", b"200"),
(b":status", b"501"),
]
)
self.assertEqual(
cm.exception.reason_phrase, "Pseudo-header b':status' is included twice"
)
def test_validate_trailers(self):
# OK
validate_trailers([(b"x-foo", b"bar")])
# invalid pseudo-header
with self.assertRaises(MessageError) as cm:
validate_trailers([(b":status", b"foo")])
self.assertEqual(
cm.exception.reason_phrase, "Pseudo-header b':status' is not valid"
)
# pseudo-header after regular headers
with self.assertRaises(MessageError) as cm:
validate_trailers(
[
(b"x-foo", b"bar"),
(b":authority", b"foo"),
]
)
self.assertEqual(
cm.exception.reason_phrase,
"Pseudo-header b':authority' is not allowed after regular headers",
)
| 34.327928
| 90
| 0.496151
| 5,270
| 57,156
| 5.129791
| 0.059203
| 0.067175
| 0.036251
| 0.03196
| 0.872605
| 0.837686
| 0.815714
| 0.797884
| 0.783532
| 0.755419
| 0
| 0.036518
| 0.407831
| 57,156
| 1,664
| 91
| 34.348558
| 0.762217
| 0.04367
| 0
| 0.672155
| 0
| 0
| 0.101539
| 0.020083
| 0
| 0
| 0.000111
| 0
| 0.068719
| 1
| 0.03078
| false
| 0
| 0.007158
| 0.000716
| 0.044381
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
2979c55b3c459f9d5967bc8549f6e865008a1332
| 16,532
|
py
|
Python
|
src/loss/discriminator.py
|
Aitical/ECL-SISR
|
6dc4bdbb115cac65b9083cd974d5882be0bba746
|
[
"MIT"
] | 3
|
2022-03-08T14:53:36.000Z
|
2022-03-23T06:56:17.000Z
|
src/loss/discriminator.py
|
Aitical/ECL-SISR
|
6dc4bdbb115cac65b9083cd974d5882be0bba746
|
[
"MIT"
] | null | null | null |
src/loss/discriminator.py
|
Aitical/ECL-SISR
|
6dc4bdbb115cac65b9083cd974d5882be0bba746
|
[
"MIT"
] | null | null | null |
from model import common
from pytorch_wavelets import DWTForward
import torch.nn as nn
import torch
import random
import torch.nn.functional as F
from collections import OrderedDict
class Discriminator(nn.Module):
'''
output is not normalized
'''
def __init__(self, args):
super(Discriminator, self).__init__()
self.args = args
in_channels = 9 if args.use_wavelet else args.n_colors
out_channels = 64
depth = 7
def _block(_in_channels, _out_channels, stride=1):
return nn.Sequential(
nn.Conv2d(
_in_channels,
_out_channels,
3,
padding=1,
stride=stride,
bias=False
),
nn.BatchNorm2d(_out_channels),
)
m_features = [_block(in_channels, out_channels), nn.LeakyReLU(negative_slope=0.2, inplace=True)]
for i in range(depth):
in_channels = out_channels
if i % 2 == 1:
stride = 1
out_channels *= 2
else:
stride = 2
m_features.append(_block(in_channels, out_channels, stride=stride))
m_features.append(nn.LeakyReLU(negative_slope=0.2, inplace=True))
self.features = nn.Sequential(*m_features)
patch_size = args.patch_size // (2**((depth + 1) // 2))
if args.use_wavelet:
patch_size = patch_size // 2
if not 'patchD' in args.loss:
m_classifier = [
nn.Flatten(),
nn.Linear(out_channels * patch_size**2, 1024),
nn.LeakyReLU(negative_slope=0.2, inplace=True),
nn.Linear(1024, 1)
]
self.classifier = nn.Sequential(*m_classifier)
else:
m_classifier = [
nn.AdaptiveAvgPool2d(4),
nn.Conv2d(out_channels, 1, kernel_size=(1, 1))
]
self.classifier = nn.Sequential(*m_classifier)
if args.use_wavelet:
self.DWT2 = DWTForward(J=1, wave='haar', mode='reflect')
self.filter = self.filter_wavelet
self.cs = 'cat'
def forward(self, x, return_features=False):
if self.args.use_wavelet:
x = self.filter(x)
if return_features:
all_feature = []
x_in = x
for layer in self.features:
if self.args.vgg_like_relu:
if isinstance(layer, nn.LeakyReLU):
continue
x_in = layer(x_in)
if self.args.before_relu and not isinstance(layer, nn.LeakyReLU):
all_feature.append(x_in)
elif not self.args.before_relu and isinstance(layer, nn.LeakyReLU):
all_feature.append(x_in)
output = self.classifier(x_in)
return output, all_feature
else:
features = self.features(x)
output = self.classifier(features)
return output
def filter_wavelet(self, x, norm=True):
LL, Hc = self.DWT2(x)
LH, HL, HH = Hc[0][:, :, 0, :, :], Hc[0][:, :, 1, :, :], Hc[0][:, :, 2, :, :]
if norm:
LH, HL, HH = LH * 0.5 + 0.5, HL * 0.5 + 0.5, HH * 0.5 + 0.5
if self.cs.lower() == 'sum':
return (LH + HL + HH) / 3.
elif self.cs.lower() == 'cat':
return torch.cat((LH, HL, HH), 1)
else:
raise NotImplementedError('Wavelet format [{:s}] not recognized'.format(self.cs))
class WaveDLoss(nn.Module):
'''
output is not normalized
'''
def __init__(self, args):
super(WaveDLoss, self).__init__()
self.args = args
in_channels = 9
out_channels = 64
depth = 7
def _block(_in_channels, _out_channels, stride=1):
return nn.Sequential(
nn.Conv2d(
_in_channels,
_out_channels,
3,
padding=1,
stride=stride,
bias=False
),
nn.BatchNorm2d(_out_channels),
)
m_features = [_block(in_channels, out_channels), nn.LeakyReLU(negative_slope=0.2, inplace=True)]
for i in range(depth):
in_channels = out_channels
if i % 2 == 1:
stride = 1
out_channels *= 2
else:
stride = 2
m_features.append(_block(in_channels, out_channels, stride=stride))
m_features.append(nn.LeakyReLU(negative_slope=0.2, inplace=True))
patch_size = args.patch_size // (2 ** ((depth + 1) // 2))
if args.use_wavelet:
patch_size = patch_size // 2
m_classifier = [
nn.Linear(out_channels * patch_size ** 2, 1024),
nn.LeakyReLU(negative_slope=0.2, inplace=True),
nn.Linear(1024, 1)
]
self.features = nn.Sequential(*m_features)
self.classifier = nn.Sequential(*m_classifier)
if args.use_wavelet:
self.DWT2 = DWTForward(J=1, wave='haar', mode='reflect')
self.filter = self.filter_wavelet
self.cs = 'cat'
self.load()
for p in self.parameters():
p.requires_grad = False
def infer(self, x):
x = self.filter(x)
all_feature = []
x_in = x
for layer in self.features:
x_in = layer(x_in)
if not isinstance(layer, nn.LeakyReLU):
all_feature.append(x_in)
return all_feature
def forward(self, sr, hr, lr):
sr_features = self.infer(sr)
if not isinstance(hr, list):
hr = [hr, ]
if not isinstance(lr, list):
lr = [lr, ]
pos_loss = 0
for s_hr in hr:
s_hr_features = self.infer(s_hr)
pos_diff = self.cl_pos(sr_features, s_hr_features)
pos_loss += pos_diff
pos_loss /= len(hr)
neg_loss = 0
for s_lr in lr:
s_lr_features = self.infer(s_lr)
neg_diff = self.cl_neg(sr_features, s_lr_features)
neg_loss += neg_diff
neg_loss /= len(lr)
cl_loss = neg_loss - pos_loss
return cl_loss
def cl_pos(self, sr_layers, hr_layers):
"""
sr_layers: feature map list
hr_layers: feature map list
"""
pos_loss = 0
for l, idx in enumerate(self.cl_layer):
pos_diff = torch.sum(
F.normalize(sr_layers[idx], dim=1) * F.normalize(hr_layers[idx], dim=1), dim=1).mean()
if self.use_weights:
pos_diff /= 2 ** l
pos_loss += pos_diff
return pos_loss
def cl_neg(self, sr_layers, lr_layers):
neg_loss = 0
for l, idx in enumerate(self.cl_layer):
sr_feature = F.normalize(sr_layers[idx], dim=1)
lr_feature = F.normalize(lr_layers[idx], dim=1)
neg_diff = torch.sum(
sr_feature * lr_feature, dim=1).mean()
if self.args.multi_neg_D:
batch_list = list(range(lr_layers[idx].shape[0]))
for _ in range(self.args.mcl_neg):
random.shuffle(batch_list)
neg_shuffle = torch.sum(sr_feature * lr_feature[batch_list, :, :, :], dim=1).mean()
neg_diff += neg_shuffle
neg_diff /= (self.args.mcl_neg+1)
if self.use_weights:
neg_diff /= 2**l
neg_loss += neg_diff
return neg_loss
def filter_wavelet(self, x, norm=True):
LL, Hc = self.DWT2(x)
LH, HL, HH = Hc[0][:, :, 0, :, :], Hc[0][:, :, 1, :, :], Hc[0][:, :, 2, :, :]
if norm:
LH, HL, HH = LH * 0.5 + 0.5, HL * 0.5 + 0.5, HH * 0.5 + 0.5
if self.cs.lower() == 'sum':
return (LH + HL + HH) / 3.
elif self.cs.lower() == 'cat':
return torch.cat((LH, HL, HH), 1)
else:
raise NotImplementedError('Wavelet format [{:s}] not recognized'.format(self.cs))
def load(self,):
loss_dict = torch.load(self.args.WaveD_path, map_location='cpu')
dis_dict = OrderedDict()
for k, v in loss_dict.items():
if k.startswith('loss_module.1.'):
dis_dict[k.replace('loss_module.1.', '')] = v
miss = self.load_state_dict(dis_dict)
print(f'Load from {self.args.WaveD_path}', miss)
class CLDLoss(nn.Module):
'''
output is not normalized
'''
def __init__(self, args):
super(CLDLoss, self).__init__()
self.args = args
in_channels = 3
out_channels = 64
depth = 7
def _block(_in_channels, _out_channels, stride=1):
return nn.Sequential(
nn.Conv2d(
_in_channels,
_out_channels,
3,
padding=1,
stride=stride,
bias=False
),
nn.BatchNorm2d(_out_channels),
)
self.pos_id = int(self.args.pos_id)
m_features = [_block(in_channels, out_channels), nn.LeakyReLU(negative_slope=0.2, inplace=True)]
for i in range(depth):
in_channels = out_channels
if i % 2 == 1:
stride = 1
out_channels *= 2
else:
stride = 2
m_features.append(_block(in_channels, out_channels, stride=stride))
m_features.append(nn.LeakyReLU(negative_slope=0.2, inplace=True))
patch_size = args.patch_size // (2 ** ((depth + 1) // 2))
#m_classifier = [
# nn.Linear(out_channels * patch_size ** 2, 1024),
# nn.LeakyReLU(negative_slope=0.2, inplace=True),
# nn.Linear(1024, 1)
#]
self.features = nn.Sequential(*m_features)
#self.classifier = nn.Sequential(*m_classifier)
self.load()
for p in self.parameters():
p.requires_grad = False
self.cl_layer = [int(i.strip()) for i in args.cl_layer.split(',')]
self.args = args
self.use_weights = args.layer_weight
def infer(self, x):
all_feature = []
x_in = x
for layer in self.features:
x_in = layer(x_in)
if not isinstance(layer, nn.LeakyReLU):
all_feature.append(x_in)
return all_feature
def forward(self, sr, hr, lr):
# sr_features = self.infer(sr)
if not isinstance(hr, list):
hr = [hr, ]
if not isinstance(lr, list):
lr = [lr, ]
if self.pos_id != -1:
hr = [hr[self.pos_id], ]
if not self.args.cl_loss_type in ['InfoNCE', 'LMCL']:
loss = self.cl_loss(sr, hr, lr)
else:
loss = self.cl_infoNCE(sr, hr, lr)
return loss
def cl_loss(self, sr, hr, lr):
sr_features = self.infer(sr)
pos_loss = 0
for s_hr in hr:
s_hr_features = self.infer(s_hr)
pos_diff = self.cl_pos(sr_features, s_hr_features)
pos_loss += pos_diff
pos_loss /= len(hr)
neg_loss = 0
b, c, h, w = sr.shape
for s_lr in lr:
b_, c_, h_, w_ = s_lr.shape
if h_ != h or w_ != w:
s_lr = F.interpolate(s_lr, size=(h, w), align_corners=True, mode='bicubic').clamp(0, 1)
s_lr_features = self.infer(s_lr)
neg_diff = self.cl_neg(sr_features, s_lr_features)
neg_loss += neg_diff
neg_loss /= len(lr)
cl_loss = neg_loss - pos_loss
return cl_loss
def cl_infoNCE(self, sr, hr, lr):
sr_features = self.infer(sr)
n_hr_features = []
n_lr_features = []
for s_hr in hr:
n_hr_features.append(self.infer(s_hr))
b, c, h, w = s_hr.shape
for s_lr in lr:
b_, c_, h_, w_ = s_lr.shape
if h_ != h or w_ != w:
s_lr = F.interpolate(s_lr, size=(h, w), align_corners=True, mode='bicubic').clamp(0, 1)
n_lr_features.append(self.infer(s_lr))
nce_loss = 0
for l, idx in enumerate(self.cl_layer):
lr_layers = []
for n_lr in n_lr_features:
lr_layers.append(n_lr[idx])
# TODO: infoNCE uses one postive only?
hr_layers = []
for n_hr in n_hr_features:
hr_layers.append(n_hr[idx])
loss = self.cl_exp(sr_features[idx], hr_layers, lr_layers)
nce_loss += loss
return nce_loss / len(self.cl_layer)
def cl_exp(self, sr_layer, hr_layers, lr_layers):
loss = 0
b, c, h, w = sr_layer.shape
neg_logits = []
for f_lr in lr_layers:
neg_diff = torch.sum(
F.normalize(sr_layer, dim=1) * F.normalize(f_lr, dim=1), dim=1).mean(dim=[-1, -2]).unsqueeze(1)
neg_logits.append(neg_diff)
if self.args.shuffle_neg:
batch_list = list(range(b))
for f_lr in lr_layers:
random.shuffle(batch_list)
neg_diff = torch.sum(
F.normalize(sr_layer, dim=1) * F.normalize(f_lr[batch_list, :, :, :], dim=1), dim=1).mean(
dim=[-1, -2]).unsqueeze(1)
neg_logits.append(neg_diff)
for f_hr in hr_layers:
pos_logits = []
pos_diff = torch.sum(
F.normalize(sr_layer, dim=1) * F.normalize(f_hr, dim=1), dim=1).mean(dim=[-1, -2]).unsqueeze(1)
pos_logits.append(pos_diff)
if self.args.cl_loss_type == 'InfoNCE':
logits = torch.cat(pos_logits + neg_logits, dim=1)
cl_loss = F.cross_entropy(logits, torch.zeros(b, device=logits.device, dtype=torch.long)) # self.ce_loss(logits)
elif self.args.cl_loss_type == 'LMCL':
cl_loss = self.lmcl_loss(pos_logits + neg_logits)
else:
raise TypeError(f'{self.args.cl_loss_type} is not found in loss/discriminator.py')
loss += cl_loss
return loss / len(hr_layers)
def lmcl_loss(self, logits):
"""
logits: BXK, the first column is the positive similarity
"""
pos_sim = logits[0]
neg_sim = torch.cat(logits[1:], dim=1)
pos_logits = pos_sim.exp() # Bx1
neg_logits = torch.sum(neg_sim.exp(), dim=1, keepdim=True) # Bx1
loss = -torch.log(pos_logits / neg_logits).mean()
return loss
def cl_pos(self, sr_layers, hr_layers):
"""
sr_layers: feature map list
hr_layers: feature map list
"""
pos_loss = 0
for l, idx in enumerate(self.cl_layer):
pos_diff = torch.sum(
F.normalize(sr_layers[idx], dim=1) * F.normalize(hr_layers[idx], dim=1), dim=1).mean()
if self.use_weights:
pos_diff /= 2 ** l
pos_loss += pos_diff
return pos_loss
def cl_neg(self, sr_layers, lr_layers):
neg_loss = 0
for l, idx in enumerate(self.cl_layer):
sr_feature = F.normalize(sr_layers[idx], dim=1)
lr_feature = F.normalize(lr_layers[idx], dim=1)
neg_diff = torch.sum(
sr_feature * lr_feature, dim=1).mean()
if self.args.shuffle_neg:
batch_list = list(range(lr_layers[idx].shape[0]))
for _ in range(self.args.mcl_neg):
random.shuffle(batch_list)
neg_shuffle = torch.sum(sr_feature * lr_feature[batch_list, :, :, :], dim=1).mean()
neg_diff += neg_shuffle
neg_diff /= (self.args.mcl_neg+1)
if self.use_weights:
neg_diff /= 2**l
neg_loss += neg_diff
return neg_loss
def load(self,):
loss_dict = torch.load(self.args.CLD_path, map_location='cpu')
dis_dict = OrderedDict()
for k, v in loss_dict.items():
if k.find('classifier')>=0:
continue
if k.startswith('loss_module.1.'):
dis_dict[k.replace('loss_module.1.', '')] = v
miss = self.load_state_dict(dis_dict)
print(f'Load from {self.args.CLD_path}', miss)
| 33.946612
| 128
| 0.523954
| 2,140
| 16,532
| 3.819626
| 0.096262
| 0.014191
| 0.023856
| 0.038537
| 0.784316
| 0.758747
| 0.749205
| 0.738928
| 0.731343
| 0.703939
| 0
| 0.020865
| 0.362207
| 16,532
| 486
| 129
| 34.016461
| 0.754363
| 0.031878
| 0
| 0.751295
| 0
| 0
| 0.022142
| 0.004227
| 0
| 0
| 0
| 0.002058
| 0
| 1
| 0.059585
| false
| 0
| 0.018135
| 0.007772
| 0.139896
| 0.005181
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
2985b9c498a6d978e045c04c0b8035a07919dc19
| 40
|
py
|
Python
|
fastapi_dream_core/pagination/__init__.py
|
yurihartmann/fastapi_dream_core
|
7c3667e5350b7000d2329b8888bf9a00400939aa
|
[
"MIT"
] | 4
|
2021-10-01T18:33:44.000Z
|
2022-01-11T21:33:25.000Z
|
fastapi_dream_core/pagination/__init__.py
|
yurihartmann/fastapi_dream_core
|
7c3667e5350b7000d2329b8888bf9a00400939aa
|
[
"MIT"
] | null | null | null |
fastapi_dream_core/pagination/__init__.py
|
yurihartmann/fastapi_dream_core
|
7c3667e5350b7000d2329b8888bf9a00400939aa
|
[
"MIT"
] | null | null | null |
from .pagination import Page, PageQuery
| 20
| 39
| 0.825
| 5
| 40
| 6.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 40
| 1
| 40
| 40
| 0.942857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
465689d968285b263b73721d693e5c8ed311b362
| 8,992
|
py
|
Python
|
pytissueoptics/scalars.py
|
DCC-Lab/PyTissueOptics
|
2e1920a970d62c1e2aeca25749ba88969c300325
|
[
"MIT"
] | 3
|
2021-02-01T19:30:35.000Z
|
2021-06-14T20:08:10.000Z
|
pytissueoptics/scalars.py
|
DCC-Lab/PyTissueOptics
|
2e1920a970d62c1e2aeca25749ba88969c300325
|
[
"MIT"
] | 25
|
2021-02-03T15:53:18.000Z
|
2022-03-30T22:53:29.000Z
|
pytissueoptics/scalars.py
|
DCC-Lab/PyTissueOptics
|
2e1920a970d62c1e2aeca25749ba88969c300325
|
[
"MIT"
] | 2
|
2022-02-12T03:51:53.000Z
|
2022-02-14T04:52:28.000Z
|
import numpy as np
try:
import cupy as cp
except:
cp = np
#CupyScalars = NumpyScalars
import pytissueoptics.vectors as vc
class NativeScalars:
""" An array of scalars that is compatible with operations on Vectors
There is a reason for not using numpy.array directly: we want to
add new functions that will be specific to our problem here,
and Python does not allow us to extend system classes.
The class works with float, int and bool. With boolean values, True is 1.
"""
def __init__(self, array=None, N=None):
"""
@rtype: object
"""
if array is not None:
self.v = np.array(array)
elif N is not None:
self.v = np.array([0] * N)
else:
raise ValueError("You must provide an array or N")
self.selected = [True]*len(self.v)
self._iteration = 0
@classmethod
def random(cls, N):
return Scalars([np.random.random() for i in range(N)])
def __iter__(self):
self._iteration = 0
return self
def __next__(self):
if self._iteration < len(self):
result = self.v[self._iteration]
self._iteration += 1
return result
else:
raise StopIteration
def __len__(self) -> int:
return len(self.v)
def __mul__(self, scale) -> 'Scalars':
return Scalars(self.v * scale)
def __rmul__(self, scale) -> 'Scalars':
return Scalars(self.v * scale)
def __truediv__(self, scale) -> 'Scalars':
return Scalars(self.v / scale)
def __add__(self, rhs) -> 'Scalars':
return Scalars([v1 + v2 for (v1, v2) in list(zip(self.v, rhs.v))])
def __neg__(self) -> 'Scalars':
return Scalars([-v1 for v1 in self.v])
def __sub__(self, rhs) -> 'Scalars':
return Scalars([v1 - v2 for (v1, v2) in list(zip(self.v, rhs.v))])
def __getitem__(self, index):
return self.v[index]
def __setitem__(self, index, newvalue):
self.v[index] = newvalue
def __eq__(self, rhs) -> bool:
if isinstance(rhs, Scalars):
each = [v1 == v2 for (v1, v2) in list(zip(self.v, rhs.v))]
else:
each = [v1 == v2 for (v1, v2) in list(zip(self.v, rhs))]
return np.array(each).all()
def logicalNot(self) -> 'Scalars':
return Scalars([not bool(v1) for v1 in self.v])
def logicalAnd(self, rhs) -> 'Scalars':
return Scalars([bool(v1) and bool(v2) for v1, v2 in list(zip(self.v, rhs))])
def logicalOr(self, rhs) -> 'Scalars':
return Scalars([bool(v1) or bool(v2) for v1, v2 in list(zip(self.v, rhs))])
def all(self) -> bool:
return self.v.all()
def any(self) -> bool:
return self.v.any()
def none(self) -> bool:
return not self.v.any()
class NumpyScalars:
def __init__(self, array=None, N=None):
if array is not None:
if type(array) == np.ndarray:
self.v = array.astype('float64')
elif type(array) == cp.ndarray:
self.v = array.astype(np.float64)
else:
self.v = np.asarray(array, dtype=np.float64)
elif N is not None:
self.v = np.zeros((1, N), dtype=np.float64)
self._iteration = 0
def __len__(self):
return self.v.shape[1]
def __add__(self, other):
if isinstance(other, NumpyScalars):
return NumpyScalars(np.add(self.v, other.v))
else:
return NumpyScalars(np.add(self.v, other))
def __sub__(self, other):
if isinstance(other, NumpyScalars):
return NumpyScalars(np.subtract(self.v, other.v))
else:
return NumpyScalars(np.subtract(self.v, other))
def __mul__(self, other):
if isinstance(other, NumpyScalars):
return NumpyScalars(np.multiply(self.v, other.v))
elif isinstance(other, vc.NumpyVectors):
return NumpyScalars(np.multiply(self.v[:, None], other.v))
else:
return NumpyScalars(np.multiply(self.v, other))
def __truediv__(self, other):
if isinstance(other, NumpyScalars):
return NumpyScalars(np.true_divide(self.v, other.v))
elif isinstance(other, vc.NumpyVectors):
return NumpyScalars(np.multiply(self.v[:, None], other.v))
else:
return NumpyScalars(np.true_divide(self.v, other))
def __neg__(self):
return NumpyScalars(np.negative(self.v))
def __getitem__(self, item):
return self.v[item]
def __setitem__(self, key, value: np.float32):
self.v[key] = value
def __eq__(self, other):
if isinstance(other, NumpyScalars):
return np.equal(self.v, other.v)
else:
return np.equal(self.v, other)
def __iter__(self):
self._iteration = 0
return self
def __next__(self):
if self._iteration < len(self):
result = self.v[:, self._iteration]
self._iteration += 1
return result
else:
raise StopIteration
def __contains__(self, item):
if item in self.v:
return True
else:
return False
@classmethod
def setAll(cls, value, N):
return NumpyScalars(np.full((N), value))
@classmethod
def random(cls, N: int):
"""Random number between [0, 1]"""
return NumpyScalars(np.random.rand(N))
@classmethod
def random2(cls, N: int):
"""Random number between [-1, 1]"""
return NumpyScalars((np.random.rand(N) * 2) - 1)
def isEqualTo(self, other):
if isinstance(other, NumpyScalars):
return NumpyScalars(np.less_equal(np.abs(np.subtract(self.v, other.v)), 1e-9))
else:
return NumpyScalars(np.less_equal(np.abs(np.subtract(self.v, other)), 1e-9))
class CupyScalars:
def __init__(self, array=None, N=None):
if array is not None:
if type(array) == cp.ndarray:
self.v = array.astype('float64')
elif type(array) == cp.ndarray:
self.v = array.astype(cp.float64)
else:
self.v = cp.asarray(array, dtype=cp.float64)
elif N is not None:
self.v = cp.zeros((1, N), dtype=cp.float64)
self._iteration = 0
def __len__(self):
return self.v.shape[1]
def __add__(self, other):
if isinstance(other, CupyScalars):
return CupyScalars(cp.add(self.v, other.v))
else:
return CupyScalars(cp.add(self.v, other))
def __sub__(self, other):
if isinstance(other, CupyScalars):
return CupyScalars(cp.subtract(self.v, other.v))
else:
return CupyScalars(cp.subtract(self.v, other))
def __mul__(self, other):
if isinstance(other, CupyScalars):
return CupyScalars(cp.multiply(self.v, other.v))
elif isinstance(other, vc.CupyVectors):
return CupyScalars(cp.multiply(self.v[:, None], other.v))
else:
return CupyScalars(cp.multiply(self.v, other))
def __truediv__(self, other):
if isinstance(other, CupyScalars):
return CupyScalars(cp.true_divide(self.v, other.v))
elif isinstance(other, vc.CupyVectors):
return CupyScalars(cp.multiply(self.v[:, None], other.v))
else:
return CupyScalars(cp.true_divide(self.v, other))
def __neg__(self):
return CupyScalars(cp.negative(self.v))
def __getitem__(self, item):
return self.v[item]
def __setitem__(self, key, value: cp.float32):
self.v[key] = value
def __eq__(self, other):
if isinstance(other, CupyScalars):
return cp.equal(self.v, other.v)
else:
return cp.equal(self.v, other)
def __iter__(self):
self._iteration = 0
return self
def __next__(self):
if self._iteration < len(self):
result = self.v[:, self._iteration]
self._iteration += 1
return result
else:
raise StopIteration
def __contains__(self, item):
if item in self.v:
return True
else:
return False
@classmethod
def setAll(cls, value, N):
return CupyScalars(cp.full((N), value))
@classmethod
def random(cls, N: int):
"""Random number between [0, 1]"""
return CupyScalars(cp.random.rand(N))
@classmethod
def random2(cls, N: int):
"""Random number between [-1, 1]"""
return CupyScalars((cp.random.rand(N) * 2) - 1)
def isEqualTo(self, other):
if isinstance(other, CupyScalars):
return CupyScalars(cp.less_equal(cp.abs(cp.subtract(self.v, other.v)), 1e-9))
else:
return CupyScalars(cp.less_equal(cp.abs(cp.subtract(self.v, other)), 1e-9))
Scalars = NativeScalars
| 29.873754
| 90
| 0.578737
| 1,149
| 8,992
| 4.373368
| 0.130548
| 0.068657
| 0.047761
| 0.050149
| 0.789851
| 0.776119
| 0.773333
| 0.710846
| 0.66806
| 0.568358
| 0
| 0.013479
| 0.29871
| 8,992
| 300
| 91
| 29.973333
| 0.783381
| 0.053714
| 0
| 0.585586
| 0
| 0
| 0.012682
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.243243
| false
| 0
| 0.013514
| 0.103604
| 0.567568
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 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
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
465b213303f62d399c6a2932daf01cf18c75106b
| 26
|
py
|
Python
|
Python_Day9/flask/sampleA/sampleA.py
|
dchaurangi/pro1
|
0c0c9f53749fb9857f69f5d564718fd3acbec7b0
|
[
"MIT"
] | 1
|
2020-01-16T08:54:52.000Z
|
2020-01-16T08:54:52.000Z
|
Python_Day9/flask/sampleA/sampleA.py
|
dchaurangi/pro1
|
0c0c9f53749fb9857f69f5d564718fd3acbec7b0
|
[
"MIT"
] | null | null | null |
Python_Day9/flask/sampleA/sampleA.py
|
dchaurangi/pro1
|
0c0c9f53749fb9857f69f5d564718fd3acbec7b0
|
[
"MIT"
] | null | null | null |
from hbdRahul import app
| 13
| 25
| 0.807692
| 4
| 26
| 5.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.192308
| 26
| 1
| 26
| 26
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
465b6be3da2ce8c8e0cb7c3b9091cf47afb51fc7
| 189
|
py
|
Python
|
discordmenu/emoji/emoji.py
|
RheingoldRiver/discord-menu
|
cde194b3ec86c15a975b34fd815cc5999cc6f8de
|
[
"Apache-2.0"
] | null | null | null |
discordmenu/emoji/emoji.py
|
RheingoldRiver/discord-menu
|
cde194b3ec86c15a975b34fd815cc5999cc6f8de
|
[
"Apache-2.0"
] | null | null | null |
discordmenu/emoji/emoji.py
|
RheingoldRiver/discord-menu
|
cde194b3ec86c15a975b34fd815cc5999cc6f8de
|
[
"Apache-2.0"
] | null | null | null |
from typing import Union
from discord import Emoji
def discord_emoji_to_emoji_name(emoji_obj: Union[str, Emoji]):
return emoji_obj if isinstance(emoji_obj, str) else emoji_obj.name
| 21
| 70
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| 31
| 189
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| 8
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 6
|
d3b89bc31256e2d9b508dfbb8ba61a9bbd87167d
| 10,731
|
py
|
Python
|
test/test_md037.py
|
jackdewinter/pymarkdown
|
7ae408ba0b24506fa07552ffe520750bbff38c53
|
[
"MIT"
] | 20
|
2021-01-14T17:39:09.000Z
|
2022-03-14T08:35:22.000Z
|
test/test_md037.py
|
jackdewinter/pymarkdown
|
7ae408ba0b24506fa07552ffe520750bbff38c53
|
[
"MIT"
] | 304
|
2020-08-15T23:24:00.000Z
|
2022-03-31T23:34:03.000Z
|
test/test_md037.py
|
jackdewinter/pymarkdown
|
7ae408ba0b24506fa07552ffe520750bbff38c53
|
[
"MIT"
] | 3
|
2021-08-11T10:26:26.000Z
|
2021-11-02T20:41:27.000Z
|
"""
Module to provide tests related to the MD037 rule.
"""
from test.markdown_scanner import MarkdownScanner
import pytest
@pytest.mark.rules
def test_md037_good_valid_emphasis():
"""
Test to make sure this rule does not trigger with a document that
contains one or more valid emphasis sequences.
"""
# Arrange
scanner = MarkdownScanner()
supplied_arguments = [
"scan",
"test/resources/rules/md037/good_valid_emphasis.md",
]
expected_return_code = 0
expected_output = ""
expected_error = ""
# Act
execute_results = scanner.invoke_main(arguments=supplied_arguments)
# Assert
execute_results.assert_results(
expected_output, expected_error, expected_return_code
)
@pytest.mark.rules
def test_md037_bad_surrounding_emphasis():
"""
Test to make sure this rule does trigger with a document that
contains one or two valid emphasis characters surrounded by spaces.
"""
# Arrange
scanner = MarkdownScanner()
supplied_arguments = [
"scan",
"test/resources/rules/md037/bad_surrounding_emphasis.md",
]
expected_return_code = 1
expected_output = (
"test/resources/rules/md037/bad_surrounding_emphasis.md:1:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_emphasis.md:3:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_emphasis.md:5:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_emphasis.md:7:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)"
)
expected_error = ""
# Act
execute_results = scanner.invoke_main(arguments=supplied_arguments)
# Assert
execute_results.assert_results(
expected_output, expected_error, expected_return_code
)
@pytest.mark.rules
def test_md037_bad_leading_emphasis():
"""
Test to make sure this rule does trigger with a document that
contains one or two valid emphasis characters with leading spaces.
"""
# Arrange
scanner = MarkdownScanner()
supplied_arguments = [
"scan",
"test/resources/rules/md037/bad_leading_emphasis.md",
]
expected_return_code = 1
expected_output = (
"test/resources/rules/md037/bad_leading_emphasis.md:1:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_leading_emphasis.md:3:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_leading_emphasis.md:5:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_leading_emphasis.md:7:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)"
)
expected_error = ""
# Act
execute_results = scanner.invoke_main(arguments=supplied_arguments)
# Assert
execute_results.assert_results(
expected_output, expected_error, expected_return_code
)
@pytest.mark.rules
def test_md037_bad_trailing_emphasis():
"""
Test to make sure this rule does trigger with a document that
contains one or two valid emphasis characters followed by spaces.
"""
# Arrange
scanner = MarkdownScanner()
supplied_arguments = [
"scan",
"test/resources/rules/md037/bad_trailing_emphasis.md",
]
expected_return_code = 1
expected_output = (
"test/resources/rules/md037/bad_trailing_emphasis.md:1:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_trailing_emphasis.md:3:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_trailing_emphasis.md:5:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_trailing_emphasis.md:7:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)"
)
expected_error = ""
# Act
execute_results = scanner.invoke_main(arguments=supplied_arguments)
# Assert
execute_results.assert_results(
expected_output, expected_error, expected_return_code
)
@pytest.mark.rules
def test_md037_bad_surrounding_emphasis_multiline():
"""
Test to make sure this rule does trigger with a document that
contains one or two valid emphasis characters surrounded by spaces,
and the emphasis spans lines.
"""
# Arrange
scanner = MarkdownScanner()
supplied_arguments = [
"scan",
"test/resources/rules/md037/bad_surrounding_emphasis_multiline.md",
]
expected_return_code = 1
expected_output = (
"test/resources/rules/md037/bad_surrounding_emphasis_multiline.md:1:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_emphasis_multiline.md:4:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_emphasis_multiline.md:7:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_emphasis_multiline.md:10:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)"
)
expected_error = ""
# Act
execute_results = scanner.invoke_main(arguments=supplied_arguments)
# Assert
execute_results.assert_results(
expected_output, expected_error, expected_return_code
)
@pytest.mark.rules
def test_md037_bad_surrounding_empahsis_setext():
"""
Test to make sure this rule does trigger with a document that
contains one or two valid emphasis characters surrounded by spaces,
within an SetExt heading.
"""
# Arrange
scanner = MarkdownScanner()
supplied_arguments = [
"scan",
"test/resources/rules/md037/bad_surrounding_empahsis_setext.md",
]
expected_return_code = 1
expected_output = (
"test/resources/rules/md037/bad_surrounding_empahsis_setext.md:1:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_empahsis_setext.md:4:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_empahsis_setext.md:7:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_empahsis_setext.md:10:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)"
)
expected_error = ""
# Act
execute_results = scanner.invoke_main(arguments=supplied_arguments)
# Assert
execute_results.assert_results(
expected_output, expected_error, expected_return_code
)
@pytest.mark.rules
def test_md037_bad_surrounding_empahsis_atx():
"""
Test to make sure this rule does trigger with a document that
contains one or two valid emphasis characters surrounded by spaces,
within an Atx Heading element.
"""
# Arrange
scanner = MarkdownScanner()
supplied_arguments = [
"scan",
"test/resources/rules/md037/bad_surrounding_empahsis_atx.md",
]
expected_return_code = 1
expected_output = (
"test/resources/rules/md037/bad_surrounding_empahsis_atx.md:1:13: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_empahsis_atx.md:3:14: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_empahsis_atx.md:5:14: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_empahsis_atx.md:7:14: MD037: Spaces inside emphasis markers (no-space-in-emphasis)"
)
expected_error = ""
# Act
execute_results = scanner.invoke_main(arguments=supplied_arguments)
# Assert
execute_results.assert_results(
expected_output, expected_error, expected_return_code
)
@pytest.mark.rules
def test_md037_bad_surrounding_emphasis_containers():
"""
Test to make sure this rule does trigger with a document that
contains one or two valid emphasis characters surrounded by spaces,
within a single line within a container element.
"""
# Arrange
scanner = MarkdownScanner()
supplied_arguments = [
"scan",
"test/resources/rules/md037/bad_surrounding_emphasis_containers.md",
]
expected_return_code = 1
expected_output = (
"test/resources/rules/md037/bad_surrounding_emphasis_containers.md:1:12: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_emphasis_containers.md:3:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)\n"
+ "test/resources/rules/md037/bad_surrounding_emphasis_containers.md:5:11: MD037: Spaces inside emphasis markers (no-space-in-emphasis)"
)
expected_error = ""
# Act
execute_results = scanner.invoke_main(arguments=supplied_arguments)
# Assert
execute_results.assert_results(
expected_output, expected_error, expected_return_code
)
@pytest.mark.rules
def test_md037_good_emphasis_with_code_span():
"""
Test to make sure this rule does not trigger with a document that
contains one or two valid emphasis characters surrounded by spaces,
within a code span.
"""
# Arrange
scanner = MarkdownScanner()
supplied_arguments = [
"scan",
"test/resources/rules/md037/good_emphasis_with_code_span.md",
]
expected_return_code = 0
expected_output = ""
expected_error = ""
# Act
execute_results = scanner.invoke_main(arguments=supplied_arguments)
# Assert
execute_results.assert_results(
expected_output, expected_error, expected_return_code
)
@pytest.mark.rules
def test_md037_good_no_emphasis_but_stars():
"""
Test to make sure this rule does not trigger with a document that
contains one or two valid emphasis characters as part of other parts
of a paragraph.
"""
# Arrange
scanner = MarkdownScanner()
supplied_arguments = [
"scan",
"test/resources/rules/md037/good_no_emphasis_but_stars.md",
]
expected_return_code = 0
expected_output = ""
expected_error = ""
# Act
execute_results = scanner.invoke_main(arguments=supplied_arguments)
# Assert
execute_results.assert_results(
expected_output, expected_error, expected_return_code
)
| 33.851735
| 146
| 0.715963
| 1,352
| 10,731
| 5.471154
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| 33.958861
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| false
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|
0
| 6
|
310a0974b9540fbc4c8cc23bd99919d6c7c88156
| 83
|
py
|
Python
|
ox/target/python/__init__.py
|
fabiommendes/ox
|
40265441e0ce84feda71e7a5f6b1d6f3e9e152cb
|
[
"MIT"
] | 10
|
2017-08-18T02:01:33.000Z
|
2020-08-15T00:52:43.000Z
|
ox/target/python/__init__.py
|
fabiommendes/ox
|
40265441e0ce84feda71e7a5f6b1d6f3e9e152cb
|
[
"MIT"
] | 2
|
2019-04-17T23:36:42.000Z
|
2019-10-15T08:09:29.000Z
|
ox/target/python/__init__.py
|
fabiommendes/ox
|
40265441e0ce84feda71e7a5f6b1d6f3e9e152cb
|
[
"MIT"
] | 6
|
2017-09-21T13:26:43.000Z
|
2021-01-12T02:41:27.000Z
|
from .wrapper import py, unwrap, S
from .expr_ast import *
from .stmt_ast import *
| 20.75
| 34
| 0.746988
| 14
| 83
| 4.285714
| 0.642857
| 0.3
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| 0
| 0
| 0
| 0
| 0.168675
| 83
| 3
| 35
| 27.666667
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| 1
| 0
|
0
| 6
|
311fa87e528ff9f62458939f611de1d5a9c0519f
| 407
|
py
|
Python
|
snakemake/configs/gallus_gallus_SRP007412_single.py
|
saketkc/EE-546-project
|
fb7eacd90f6c0a2cb3061837ec5427a14f521aa5
|
[
"BSD-2-Clause"
] | 1
|
2020-11-02T07:05:09.000Z
|
2020-11-02T07:05:09.000Z
|
snakemake/configs/gallus_gallus_SRP007412_single.py
|
saketkc/EE-546-project
|
fb7eacd90f6c0a2cb3061837ec5427a14f521aa5
|
[
"BSD-2-Clause"
] | null | null | null |
snakemake/configs/gallus_gallus_SRP007412_single.py
|
saketkc/EE-546-project
|
fb7eacd90f6c0a2cb3061837ec5427a14f521aa5
|
[
"BSD-2-Clause"
] | null | null | null |
RAWDATA_DIR = '/staging/as/skchoudh/rna-seq-datasets/single/gallus_gallus/SRP007412'
OUT_DIR = '/staging/as/skchoudh/rna-seq-output/gallus_gallus/SRP007412'
CDNA_FA_GZ = '/home/cmb-panasas2/skchoudh/genomes/gallus_gallus/cdna/Gallus_gallus.Gallus_gallus-5.0.cdna.all.fa.gz'
CDNA_IDX = '/home/cmb-panasas2/skchoudh/genomes/gallus_gallus/cdna/Gallus_gallus.Gallus_gallus-5.0.cdna.all.kallisto.index'
| 67.833333
| 127
| 0.80344
| 64
| 407
| 4.90625
| 0.40625
| 0.382166
| 0.229299
| 0.127389
| 0.66879
| 0.66879
| 0.503185
| 0.503185
| 0.503185
| 0.503185
| 0
| 0.046632
| 0.051597
| 407
| 5
| 128
| 81.4
| 0.766839
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| 0.5
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| 0.832512
| 0
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| false
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| 1
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| 0
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| null | 0
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| 0
| 0
| 0
|
0
| 6
|
3120898bf7ae01732572b13ce892078ef7ce99c7
| 17,776
|
py
|
Python
|
pirates/leveleditor/worldData/interior_spanish_store.py
|
Willy5s/Pirates-Online-Rewritten
|
7434cf98d9b7c837d57c181e5dabd02ddf98acb7
|
[
"BSD-3-Clause"
] | 81
|
2018-04-08T18:14:24.000Z
|
2022-01-11T07:22:15.000Z
|
pirates/leveleditor/worldData/interior_spanish_store.py
|
Willy5s/Pirates-Online-Rewritten
|
7434cf98d9b7c837d57c181e5dabd02ddf98acb7
|
[
"BSD-3-Clause"
] | 4
|
2018-09-13T20:41:22.000Z
|
2022-01-08T06:57:00.000Z
|
pirates/leveleditor/worldData/interior_spanish_store.py
|
Willy5s/Pirates-Online-Rewritten
|
7434cf98d9b7c837d57c181e5dabd02ddf98acb7
|
[
"BSD-3-Clause"
] | 26
|
2018-05-26T12:49:27.000Z
|
2021-09-11T09:11:59.000Z
|
from pandac.PandaModules import Point3, VBase3, Vec4, Vec3
objectStruct = {'Objects': {'1156268617.43dzlu0m': {'Type': 'Building Interior','Name': '','Instanced': True,'Objects': {'1178149803.79kmuller': {'Type': 'Furniture','DisableCollision': False,'Hpr': VBase3(-1.039, 0.0, 0.0),'Pos': Point3(-1.554, -6.614, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/props/counter_spanish'}},'1178149855.14kmuller': {'Type': 'Furniture','DisableCollision': True,'Hpr': VBase3(179.961, 0.0, 0.0),'Pos': Point3(-11.844, -22.594, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/props/cabinet_spanish'}},'1178149893.21kmuller': {'Type': 'Furniture','DisableCollision': True,'Hpr': VBase3(179.961, 0.0, 0.0),'Pos': Point3(8.381, -22.641, 0.0),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/props/cabinet_spanish'}},'1178149936.92kmuller': {'Type': 'Furniture','DisableCollision': True,'Hpr': VBase3(-179.776, 0.0, 0.0),'Pos': Point3(5.864, 26.449, 5.265),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/props/cabinet_spanish_low'}},'1178149961.78kmuller': {'Type': 'Furniture','DisableCollision': True,'Hpr': VBase3(-179.776, 0.0, 0.0),'Pos': Point3(0.173, 26.471, 5.265),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/props/cabinet_spanish_low'}},'1178150017.54kmuller': {'Type': 'Furniture','DisableCollision': False,'Hpr': VBase3(179.791, 0.0, 0.0),'Pos': Point3(-6.748, 26.551, 5.265),'Scale': VBase3(1.0, 1.0, 1.0),'Visual': {'Model': 'models/props/bench_bank'}},'1178150057.45kmuller': {'Type': 'Prop_Groups','DisableCollision': True,'Hpr': VBase3(-175.757, 0.0, 0.0),'Pos': Point3(3.446, 21.742, 0.0),'Scale': VBase3(1.0, 0.953, 1.0),'Visual': {'Model': 'models/props/prop_group_G'}},'1178150105.5kmuller': {'Type': 'Prop_Groups','DisableCollision': False,'Hpr': VBase3(-81.625, 0.0, 0.0),'Pos': Point3(15.911, -21.849, 0.0),'Scale': VBase3(0.7, 0.7, 0.7),'Visual': {'Model': 'models/props/prop_group_C'}},'1178150203.06kmuller': {'Type': 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|
0
| 6
|
313f1dded3512f7b35f595eea2252ae0b4f7e243
| 125
|
py
|
Python
|
code/st_gcn/feeder/__init__.py
|
nvski/ST-TR
|
75aa9fb872af217f8616c01cee7ca6548846260b
|
[
"MIT"
] | null | null | null |
code/st_gcn/feeder/__init__.py
|
nvski/ST-TR
|
75aa9fb872af217f8616c01cee7ca6548846260b
|
[
"MIT"
] | null | null | null |
code/st_gcn/feeder/__init__.py
|
nvski/ST-TR
|
75aa9fb872af217f8616c01cee7ca6548846260b
|
[
"MIT"
] | null | null | null |
from .feeder import Feeder
from .feeder_kinetics import Feeder_kinetics
from .feeder_hdm import Feeder_hdm05, hdm_collate_fn
| 31.25
| 52
| 0.864
| 19
| 125
| 5.368421
| 0.421053
| 0.294118
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0
| 6
|
3150fb41fd2487706b837a7cad76b5de39db7370
| 121
|
py
|
Python
|
run.py
|
kwilson21/PS5Tracker
|
d3a8fb8638838fe99fb3a3b4e3ddb6973816d75b
|
[
"MIT"
] | null | null | null |
run.py
|
kwilson21/PS5Tracker
|
d3a8fb8638838fe99fb3a3b4e3ddb6973816d75b
|
[
"MIT"
] | null | null | null |
run.py
|
kwilson21/PS5Tracker
|
d3a8fb8638838fe99fb3a3b4e3ddb6973816d75b
|
[
"MIT"
] | null | null | null |
from gevent import monkey # isort:skip # noqa
monkey.patch_all() # isort:skip # noqa
from app.app import app # noqa
| 20.166667
| 46
| 0.710744
| 19
| 121
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0
| 6
|
317f5213efe86a8c5cebfdde7754ea407841915b
| 76
|
py
|
Python
|
src/main.py
|
Anne-and-Walter/ship-it
|
17878ad00b82e3fe57dd8be738036450c5bd6d91
|
[
"MIT"
] | null | null | null |
src/main.py
|
Anne-and-Walter/ship-it
|
17878ad00b82e3fe57dd8be738036450c5bd6d91
|
[
"MIT"
] | null | null | null |
src/main.py
|
Anne-and-Walter/ship-it
|
17878ad00b82e3fe57dd8be738036450c5bd6d91
|
[
"MIT"
] | null | null | null |
def return_true():
return True
if __name__ == "__main__":
print("shipit")
| 15.2
| 26
| 0.697368
| 10
| 76
| 4.4
| 0.8
| 0.454545
| 0
| 0
| 0
| 0
| 0
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| 0.144737
| 76
| 5
| 27
| 15.2
| 0.676923
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| null | 0
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| 1
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| 0
| 1
| 0
| 0
|
0
| 6
|
31882ddd87e53f22e9c43b45bedcf1d8962f45e2
| 150
|
py
|
Python
|
kth_timeoutdecorator/__init__.py
|
Angel-Hair/th-timeoutdecorator
|
4b86a010d2eadb076eddfd661863b597c3e56014
|
[
"MIT"
] | 2
|
2020-05-19T13:09:44.000Z
|
2021-02-03T06:39:13.000Z
|
kth_timeoutdecorator/__init__.py
|
Angel-Hair/th-timeoutdecorator
|
4b86a010d2eadb076eddfd661863b597c3e56014
|
[
"MIT"
] | null | null | null |
kth_timeoutdecorator/__init__.py
|
Angel-Hair/th-timeoutdecorator
|
4b86a010d2eadb076eddfd661863b597c3e56014
|
[
"MIT"
] | 1
|
2021-11-13T11:14:16.000Z
|
2021-11-13T11:14:16.000Z
|
from .kth_timeoutdecorator import timeout
from .kth_timeoutdecorator import TimeoutException
__title__ = 'kth_timeoutdecorator'
__version__ = '0.0.5'
| 30
| 50
| 0.84
| 17
| 150
| 6.764706
| 0.588235
| 0.495652
| 0.4
| 0.504348
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.022059
| 0.093333
| 150
| 5
| 51
| 30
| 0.823529
| 0
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| 0
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0
| 6
|
31b74565af7daffcb59af8e42a76bf8f6d7b895c
| 16,744
|
py
|
Python
|
APiLexer.py
|
AILab-FOI/APi
|
2571c52edf6f296c883d94e2f67fb18b42860b91
|
[
"MIT"
] | null | null | null |
APiLexer.py
|
AILab-FOI/APi
|
2571c52edf6f296c883d94e2f67fb18b42860b91
|
[
"MIT"
] | 27
|
2021-03-30T15:19:43.000Z
|
2021-04-26T09:29:41.000Z
|
APiLexer.py
|
AILab-FOI/APi
|
2571c52edf6f296c883d94e2f67fb18b42860b91
|
[
"MIT"
] | null | null | null |
# Generated from APi.g4 by ANTLR 4.9
from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
def serializedATN():
with StringIO() as buf:
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class APiLexer(Lexer):
atn = ATNDeserializer().deserialize(serializedATN())
decisionsToDFA = [ DFA(ds, i) for i, ds in enumerate(atn.decisionToState) ]
T__0 = 1
T__1 = 2
T__2 = 3
T__3 = 4
T__4 = 5
T__5 = 6
T__6 = 7
T__7 = 8
T__8 = 9
T__9 = 10
T__10 = 11
T__11 = 12
T__12 = 13
T__13 = 14
T__14 = 15
T__15 = 16
T__16 = 17
STDIN = 18
STDOUT = 19
STDERR = 20
VOID = 21
IMPORT = 22
ENVIRONMENT = 23
ONSUCCESS = 24
ONFAIL = 25
RESTART = 26
PARALLEL = 27
START = 28
SELF = 29
AGENT = 30
CHANNEL = 31
REGEX = 32
JSON = 33
XML = 34
INPUT_FORMAT = 35
OUTPUT_FORMAT = 36
SENDS = 37
NIL = 38
COMMENT = 39
COMMENT1 = 40
COMMENT2 = 41
NEWLINE = 42
TAB = 43
SPEC_CHAR = 44
VARIABLE = 45
IDENT = 46
STRING = 47
NUMBER = 48
SPACE = 49
channelNames = [ u"DEFAULT_TOKEN_CHANNEL", u"HIDDEN" ]
modeNames = [ "DEFAULT_MODE" ]
literalNames = [ "<INVALID>",
"':'", "'('", "')'", "'.'", "'{'", "','", "'}'", "'['", "']'",
"'true'", "'false'", "'null'", "'<'", "'>'", "'/'", "'/>'",
"'='", "'stdin'", "'stdout'", "'stderr'", "'void'", "'import'",
"'environment'", "'&'", "'!'", "'+'", "'|'", "'start'", "'self'",
"'agent'", "'channel'", "'regex'", "'json'", "'xml'", "'=>'",
"'<='", "'->'", "'0'" ]
symbolicNames = [ "<INVALID>",
"STDIN", "STDOUT", "STDERR", "VOID", "IMPORT", "ENVIRONMENT",
"ONSUCCESS", "ONFAIL", "RESTART", "PARALLEL", "START", "SELF",
"AGENT", "CHANNEL", "REGEX", "JSON", "XML", "INPUT_FORMAT",
"OUTPUT_FORMAT", "SENDS", "NIL", "COMMENT", "COMMENT1", "COMMENT2",
"NEWLINE", "TAB", "SPEC_CHAR", "VARIABLE", "IDENT", "STRING",
"NUMBER", "SPACE" ]
ruleNames = [ "T__0", "T__1", "T__2", "T__3", "T__4", "T__5", "T__6",
"T__7", "T__8", "T__9", "T__10", "T__11", "T__12", "T__13",
"T__14", "T__15", "T__16", "STDIN", "STDOUT", "STDERR",
"VOID", "IMPORT", "ENVIRONMENT", "ONSUCCESS", "ONFAIL",
"RESTART", "PARALLEL", "START", "SELF", "AGENT", "CHANNEL",
"REGEX", "JSON", "XML", "INPUT_FORMAT", "OUTPUT_FORMAT",
"SENDS", "NIL", "COMMENT", "COMMENT1", "COMMENT2", "NEWLINE",
"TAB", "SPEC_CHAR", "VARIABLE", "IDENT", "NameChar1",
"NameStartChar1", "STRING", "ESC1", "ESC2", "UNICODE",
"HEX", "SAFECODEPOINT1", "SAFECODEPOINT2", "NUMBER", "INT",
"EXP", "SPACE" ]
grammarFileName = "APi.g4"
def __init__(self, input=None, output:TextIO = sys.stdout):
super().__init__(input, output)
self.checkVersion("4.9")
self._interp = LexerATNSimulator(self, self.atn, self.decisionsToDFA, PredictionContextCache())
self._actions = None
self._predicates = None
| 57.937716
| 103
| 0.553989
| 3,745
| 16,744
| 2.451535
| 0.1498
| 0.134626
| 0.074502
| 0.080601
| 0.26642
| 0.184838
| 0.109356
| 0.094434
| 0.081255
| 0.074066
| 0
| 0.346148
| 0.156474
| 16,744
| 288
| 104
| 58.138889
| 0.30388
| 0.002031
| 0
| 0
| 1
| 0.459259
| 0.61882
| 0.563151
| 0
| 0
| 0
| 0
| 0
| 1
| 0.007407
| false
| 0
| 0.02963
| 0
| 0.255556
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
9ec4275ee16cebb952fae4317b678b14551a986e
| 55
|
py
|
Python
|
chopperhack19/mock_obs/tests/__init__.py
|
ArgonneCPAC/bnlhack19
|
d399b2e200ec7dbd733c754b06c4bd368eb00e67
|
[
"BSD-3-Clause"
] | null | null | null |
chopperhack19/mock_obs/tests/__init__.py
|
ArgonneCPAC/bnlhack19
|
d399b2e200ec7dbd733c754b06c4bd368eb00e67
|
[
"BSD-3-Clause"
] | 4
|
2019-09-23T18:56:16.000Z
|
2019-10-06T03:33:09.000Z
|
chopperhack19/mock_obs/tests/__init__.py
|
ArgonneCPAC/bnlhack19
|
d399b2e200ec7dbd733c754b06c4bd368eb00e67
|
[
"BSD-3-Clause"
] | 1
|
2019-09-25T19:13:30.000Z
|
2019-09-25T19:13:30.000Z
|
from .generate_test_data import random_weighted_points
| 27.5
| 54
| 0.909091
| 8
| 55
| 5.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072727
| 55
| 1
| 55
| 55
| 0.901961
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
73001002efc809f70983029cdc3d32e7e80a716f
| 38
|
py
|
Python
|
odss/http/__init__.py
|
odss/py-odss
|
b35838bba89f4dffc0dadd0b3821d8b38c0ca497
|
[
"MIT"
] | null | null | null |
odss/http/__init__.py
|
odss/py-odss
|
b35838bba89f4dffc0dadd0b3821d8b38c0ca497
|
[
"MIT"
] | null | null | null |
odss/http/__init__.py
|
odss/py-odss
|
b35838bba89f4dffc0dadd0b3821d8b38c0ca497
|
[
"MIT"
] | null | null | null |
from .decorators import route # noqa
| 19
| 37
| 0.763158
| 5
| 38
| 5.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.184211
| 38
| 1
| 38
| 38
| 0.935484
| 0.105263
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| 0
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| 0
| true
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| null | 0
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| 0
| 0
| 0
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| 0
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| null | 0
| 0
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| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
731c250173288664701c1d9b3cb1cc1facb1659d
| 16,681
|
py
|
Python
|
tests/test_01_users.py
|
Fastex007/api_yamdb
|
93fd2054111b86d392f5d5769dbe125c16b06126
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_01_users.py
|
Fastex007/api_yamdb
|
93fd2054111b86d392f5d5769dbe125c16b06126
|
[
"BSD-3-Clause"
] | null | null | null |
tests/test_01_users.py
|
Fastex007/api_yamdb
|
93fd2054111b86d392f5d5769dbe125c16b06126
|
[
"BSD-3-Clause"
] | null | null | null |
import pytest
from django.contrib.auth import get_user_model
from .common import auth_client, create_users_api
class Test01UserAPI:
@pytest.mark.django_db(transaction=True)
def test_01_users_not_auth(self, client):
response = client.get('/api/v1/users/')
assert response.status_code != 404, (
'Страница `/api/v1/users/` не найдена, проверьте этот адрес в *urls.py*'
)
assert response.status_code == 401, (
'Проверьте, что при GET запросе `/api/v1/users/` без токена авторизации возвращается статус 401'
)
@pytest.mark.django_db(transaction=True)
def test_02_users_username_not_auth(self, client, admin):
response = client.get(f'/api/v1/users/{admin.username}/')
assert response.status_code != 404, (
'Страница `/api/v1/users/{username}/` не найдена, проверьте этот адрес в *urls.py*'
)
assert response.status_code == 401, (
'Проверьте, что при GET запросе `/api/v1/users/{username}/` без токена авторизации возвращается статус 401'
)
@pytest.mark.django_db(transaction=True)
def test_03_users_me_not_auth(self, client):
response = client.get('/api/v1/users/me/')
assert response.status_code != 404, (
'Страница `/api/v1/users/me/` не найдена, проверьте этот адрес в *urls.py*'
)
assert response.status_code == 401, (
'Проверьте, что при GET запросе `/api/v1/users/me/` без токена авторизации возвращается статус 401'
)
@pytest.mark.django_db(transaction=True)
def test_04_users_get_auth(self, user_client, admin):
response = user_client.get('/api/v1/users/')
assert response.status_code != 404, (
'Страница `/api/v1/users/` не найдена, проверьте этот адрес в *urls.py*'
)
assert response.status_code == 200, (
'Проверьте, что при GET запросе `/api/v1/users/` с токеном авторизации возвращается статус 200'
)
data = response.json()
assert 'count' in data, (
'Проверьте, что при GET запросе `/api/v1/users/` возвращаете данные с пагинацией. '
'Не найден параметр `count`'
)
assert 'next' in data, (
'Проверьте, что при GET запросе `/api/v1/users/` возвращаете данные с пагинацией. '
'Не найден параметр `next`'
)
assert 'previous' in data, (
'Проверьте, что при GET запросе `/api/v1/users/` возвращаете данные с пагинацией. '
'Не найден параметр `previous`'
)
assert 'results' in data, (
'Проверьте, что при GET запросе `/api/v1/users/` возвращаете данные с пагинацией. '
'Не найден параметр `results`'
)
assert data['count'] == 1, (
'Проверьте, что при GET запросе `/api/v1/users/` возвращаете данные с пагинацией. '
'Значение параметра `count` не правильное'
)
assert type(data['results']) == list, (
'Проверьте, что при GET запросе `/api/v1/users/` возвращаете данные с пагинацией. '
'Тип параметра `results` должен быть список'
)
assert len(data['results']) == 1 and data['results'][0].get('username') == admin.username \
and data['results'][0].get('email') == admin.email, (
'Проверьте, что при GET запросе `/api/v1/users/` возвращаете данные с пагинацией. '
'Значение параметра `results` не правильное'
)
@pytest.mark.django_db(transaction=True)
def test_05_users_post_auth(self, user_client, admin):
data = {}
response = user_client.post('/api/v1/users/', data=data)
assert response.status_code == 400, (
'Проверьте, что при POST запросе `/api/v1/users/` с не правильными данными возвращает 400'
)
data = {
'username': 'TestUser1231231',
'role': 'user'
}
response = user_client.post('/api/v1/users/', data=data)
assert response.status_code == 400, (
'Проверьте, что при POST запросе `/api/v1/users/` с не правильными данными возвращает 400'
)
data = {
'username': 'TestUser1231231',
'role': 'user',
'email': admin.email
}
response = user_client.post('/api/v1/users/', data=data)
assert response.status_code == 400, (
'Проверьте, что при POST запросе `/api/v1/users/` с не правильными данными возвращает 400. '
'`Email` должен быть уникальный у каждого прользователя'
)
data = {
'username': admin.username,
'role': 'user',
'email': 'testuser@yamdb.fake'
}
response = user_client.post('/api/v1/users/', data=data)
assert response.status_code == 400, (
'Проверьте, что при POST запросе `/api/v1/users/` с не правильными данными возвращает 400. '
'`Username` должен быть уникальный у каждого прользователя'
)
data = {
'username': 'TestUser1231231',
'role': 'user',
'email': 'testuser@yamdb.fake'
}
response = user_client.post('/api/v1/users/', data=data)
assert response.status_code == 201, (
'Проверьте, что при POST запросе `/api/v1/users/` с правильными данными возвращает 201.'
)
data = {
'first_name': 'fsdfsdf',
'last_name': 'dsgdsfg',
'username': 'TestUser4534',
'bio': 'Jdlkjd',
'role': 'moderator',
'email': 'testuser2342@yamdb.fake'
}
response = user_client.post('/api/v1/users/', data=data)
assert response.status_code == 201, (
'Проверьте, что при POST запросе `/api/v1/users/` с правильными данными возвращает 201.'
)
response_data = response.json()
assert response_data.get('first_name') == data['first_name'], (
'Проверьте, что при POST запросе `/api/v1/users/` с правильными данными возвращаете `first_name`.'
)
assert response_data.get('last_name') == data['last_name'], (
'Проверьте, что при POST запросе `/api/v1/users/` с правильными данными возвращаете `last_name`.'
)
assert response_data.get('username') == data['username'], (
'Проверьте, что при POST запросе `/api/v1/users/` с правильными данными возвращаете `username`.'
)
assert response_data.get('bio') == data['bio'], (
'Проверьте, что при POST запросе `/api/v1/users/` с правильными данными возвращаете `bio`.'
)
assert response_data.get('role') == data['role'], (
'Проверьте, что при POST запросе `/api/v1/users/` с правильными данными возвращаете `role`.'
)
assert response_data.get('email') == data['email'], (
'Проверьте, что при POST запросе `/api/v1/users/` с правильными данными возвращаете `email`.'
)
assert get_user_model().objects.count() == 3, (
'Проверьте, что при POST запросе `/api/v1/users/` вы создаёте пользователей.'
)
response = user_client.get('/api/v1/users/')
data = response.json()
assert len(data['results']) == 3, (
'Проверьте, что при GET запросе `/api/v1/users/` возвращаете данные с пагинацией. '
'Значение параметра `results` не правильное'
)
@pytest.mark.django_db(transaction=True)
def test_06_users_username_get_auth(self, user_client, admin):
user, moderator = create_users_api(user_client)
response = user_client.get(f'/api/v1/users/{admin.username}/')
assert response.status_code != 404, (
'Страница `/api/v1/users/{username}/` не найдена, проверьте этот адрес в *urls.py*'
)
assert response.status_code == 200, (
'Проверьте, что при GET запросе `/api/v1/users/{username}/` с токеном авторизации возвращается статус 200'
)
response_data = response.json()
assert response_data.get('username') == admin.username, (
'Проверьте, что при GET запросе `/api/v1/users/{username}/` возвращаете `username`.'
)
assert response_data.get('email') == admin.email, (
'Проверьте, что при GET запросе `/api/v1/users/{username}/` возвращаете `email`.'
)
response = user_client.get(f'/api/v1/users/{moderator.username}/')
assert response.status_code == 200, (
'Проверьте, что при GET запросе `/api/v1/users/{username}/` с токеном авторизации возвращается статус 200'
)
response_data = response.json()
assert response_data.get('username') == moderator.username, (
'Проверьте, что при GET запросе `/api/v1/users/{username}/` возвращаете `username`.'
)
assert response_data.get('email') == moderator.email, (
'Проверьте, что при GET запросе `/api/v1/users/{username}/` возвращаете `email`.'
)
assert response_data.get('first_name') == moderator.first_name, (
'Проверьте, что при GET запросе `/api/v1/users/` возвращаете `first_name`.'
)
assert response_data.get('last_name') == moderator.last_name, (
'Проверьте, что при GET запросе `/api/v1/users/` возвращаете `last_name`.'
)
assert response_data.get('bio') == moderator.bio, (
'Проверьте, что при GET запросе `/api/v1/users/` возвращаете `bio`.'
)
assert response_data.get('role') == moderator.role, (
'Проверьте, что при GET запросе `/api/v1/users/` возвращаете `role`.'
)
@pytest.mark.django_db(transaction=True)
def test_07_users_username_patch_auth(self, user_client, admin):
user, moderator = create_users_api(user_client)
data = {
'first_name': 'Admin',
'last_name': 'Test',
'bio': 'description'
}
response = user_client.patch(f'/api/v1/users/{admin.username}/', data=data)
assert response.status_code == 200, (
'Проверьте, что при PATCH запросе `/api/v1/users/{username}/` '
'с токеном авторизации возвращается статус 200'
)
test_admin = get_user_model().objects.get(username=admin.username)
assert test_admin.first_name == data['first_name'], (
'Проверьте, что при PATCH запросе `/api/v1/users/{username}/` изменяете данные.'
)
assert test_admin.last_name == data['last_name'], (
'Проверьте, что при PATCH запросе `/api/v1/users/{username}/` изменяете данные.'
)
response = user_client.patch(f'/api/v1/users/{user.username}/', data={'role': 'admin'})
assert response.status_code == 200, (
'Проверьте, что при PATCH запросе `/api/v1/users/{username}/` '
'с токеном авторизации возвращается статус 200'
)
client_user = auth_client(user)
response = client_user.get(f'/api/v1/users/{admin.username}/')
assert response.status_code == 200, (
'Проверьте, что при PATCH запросе `/api/v1/users/{username}/` можно изменить роль пользователя'
)
@pytest.mark.django_db(transaction=True)
def test_08_users_username_delete_auth(self, user_client):
user, moderator = create_users_api(user_client)
response = user_client.delete(f'/api/v1/users/{user.username}/')
assert response.status_code == 204, (
'Проверьте, что при DELETE запросе `/api/v1/users/{username}/` возвращаете статус 204'
)
assert get_user_model().objects.count() == 2, (
'Проверьте, что при DELETE запросе `/api/v1/users/{username}/` удаляете пользователя'
)
def check_permissions(self, user, user_name, admin):
client_user = auth_client(user)
response = client_user.get('/api/v1/users/')
assert response.status_code == 403, (
f'Проверьте, что при GET запросе `/api/v1/users/` '
f'с токеном авторизации {user_name} возвращается статус 403'
)
data = {
'username': 'TestUser9876',
'role': 'user',
'email': 'testuser9876@yamdb.fake'
}
response = client_user.post('/api/v1/users/', data=data)
assert response.status_code == 403, (
f'Проверьте, что при POST запросе `/api/v1/users/` '
f'с токеном авторизации {user_name} возвращается статус 403'
)
response = client_user.get(f'/api/v1/users/{admin.username}/')
assert response.status_code == 403, (
f'Проверьте, что при GET запросе `/api/v1/users/{{username}}/` '
f'с токеном авторизации {user_name} возвращается статус 403'
)
data = {
'first_name': 'Admin',
'last_name': 'Test',
'bio': 'description'
}
response = client_user.patch(f'/api/v1/users/{admin.username}/', data=data)
assert response.status_code == 403, (
f'Проверьте, что при PATCH запросе `/api/v1/users/{{username}}/` '
f'с токеном авторизации {user_name} возвращается статус 403'
)
response = client_user.delete(f'/api/v1/users/{admin.username}/')
assert response.status_code == 403, (
f'Проверьте, что при DELETE запросе `/api/v1/users/{{username}}/` '
f'с токеном авторизации {user_name} возвращается статус 403'
)
@pytest.mark.django_db(transaction=True)
def test_09_users_check_permissions(self, user_client, admin):
user, moderator = create_users_api(user_client)
self.check_permissions(user, 'обычного пользователя', admin)
self.check_permissions(moderator, 'модератора', admin)
@pytest.mark.django_db(transaction=True)
def test_10_users_me_get(self, user_client, admin):
user, moderator = create_users_api(user_client)
response = user_client.get('/api/v1/users/me/')
assert response.status_code == 200, (
'Проверьте, что при GET запросе `/api/v1/users/me/` с токеном авторизации возвращается статус 200'
)
response_data = response.json()
assert response_data.get('username') == admin.username, (
'Проверьте, что при GET запросе `/api/v1/users/me/` возвращаете данные пользователя'
)
client_user = auth_client(moderator)
response = client_user.get('/api/v1/users/me/')
assert response.status_code == 200, (
'Проверьте, что при GET запросе `/api/v1/users/me/` с токеном авторизации возвращается статус 200'
)
response_data = response.json()
assert response_data.get('username') == moderator.username, (
'Проверьте, что при GET запросе `/api/v1/users/me/` возвращаете данные пользователя'
)
assert response_data.get('role') == 'moderator', (
'Проверьте, что при GET запросе `/api/v1/users/me/` возвращаете данные пользователя'
)
assert response_data.get('email') == moderator.email, (
'Проверьте, что при GET запросе `/api/v1/users/me/` возвращаете данные пользователя'
)
response = client_user.delete('/api/v1/users/me/')
assert response.status_code == 405, (
'Проверьте, что при DELETE запросе `/api/v1/users/me/` возвращается статус 405'
)
@pytest.mark.django_db(transaction=True)
def test_11_users_me_patch(self, user_client):
user, moderator = create_users_api(user_client)
data = {
'first_name': 'Admin',
'last_name': 'Test',
'bio': 'description'
}
response = user_client.patch('/api/v1/users/me/', data=data)
assert response.status_code == 200, (
'Проверьте, что при PATCH запросе `/api/v1/users/me/` с токеном авторизации возвращается статус 200'
)
response_data = response.json()
assert response_data.get('bio') == 'description', (
'Проверьте, что при PATCH запросе `/api/v1/users/me/` изменяете данные'
)
client_user = auth_client(moderator)
response = client_user.patch('/api/v1/users/me/', data={'first_name': 'NewTest'})
test_moderator = get_user_model().objects.get(username=moderator.username)
assert response.status_code == 200, (
'Проверьте, что при PATCH запросе `/api/v1/users/me/` с токеном авторизации возвращается статус 200'
)
assert test_moderator.first_name == 'NewTest', (
'Проверьте, что при PATCH запросе `/api/v1/users/me/` изменяете данные'
)
| 46.988732
| 119
| 0.607877
| 1,923
| 16,681
| 5.154966
| 0.073323
| 0.045395
| 0.09079
| 0.099465
| 0.87239
| 0.857662
| 0.820438
| 0.8046
| 0.730455
| 0.693029
| 0
| 0.026595
| 0.265152
| 16,681
| 354
| 120
| 47.121469
| 0.782101
| 0
| 0
| 0.44713
| 0
| 0.033233
| 0.434326
| 0.052575
| 0
| 0
| 0
| 0
| 0.190332
| 1
| 0.036254
| false
| 0
| 0.009063
| 0
| 0.048338
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
7359d4a476740dc1005410090ee2113da28c6a7b
| 179
|
py
|
Python
|
pyplottr/__init__.py
|
toaarnio/pyplottr
|
6bc811ff5851ae8b6274b2d062449b8cb543356d
|
[
"Apache-2.0"
] | null | null | null |
pyplottr/__init__.py
|
toaarnio/pyplottr
|
6bc811ff5851ae8b6274b2d062449b8cb543356d
|
[
"Apache-2.0"
] | null | null | null |
pyplottr/__init__.py
|
toaarnio/pyplottr
|
6bc811ff5851ae8b6274b2d062449b8cb543356d
|
[
"Apache-2.0"
] | null | null | null |
"""
https://github.com/toaarnio/pyplottr
"""
from .pyplottr import Figure, DummyFigure, plot, plot3d
__version__ = "0.2.4"
__all__ = ["Figure", "DummyFigure", "plot", "plot3d"]
| 19.888889
| 55
| 0.687151
| 21
| 179
| 5.47619
| 0.761905
| 0.295652
| 0.365217
| 0.469565
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.031646
| 0.117318
| 179
| 8
| 56
| 22.375
| 0.696203
| 0.201117
| 0
| 0
| 0
| 0
| 0.237037
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 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
| 0
| 0
|
0
| 6
|
b40fddf8569982281a73a857b38bf2b06dcf7b09
| 190
|
py
|
Python
|
lib/pymedphys/trf.py
|
ethanio12345/pymedphys
|
cb34c992de8d442eced3385018a194364060092d
|
[
"Apache-2.0"
] | 207
|
2019-01-29T09:53:04.000Z
|
2022-03-26T10:34:03.000Z
|
lib/pymedphys/trf.py
|
ethanio12345/pymedphys
|
cb34c992de8d442eced3385018a194364060092d
|
[
"Apache-2.0"
] | 1,209
|
2019-01-29T07:52:27.000Z
|
2022-03-31T20:11:24.000Z
|
lib/pymedphys/trf.py
|
ethanio12345/pymedphys
|
cb34c992de8d442eced3385018a194364060092d
|
[
"Apache-2.0"
] | 58
|
2019-03-29T09:06:18.000Z
|
2022-03-24T07:44:22.000Z
|
# pylint: disable = unused-import, missing-docstring
from pymedphys._trf.decode.trf2pandas import trf2pandas as read
from pymedphys._trf.manage.identify import identify_logfile as identify
| 38
| 71
| 0.836842
| 25
| 190
| 6.24
| 0.64
| 0.166667
| 0.205128
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011696
| 0.1
| 190
| 4
| 72
| 47.5
| 0.900585
| 0.263158
| 0
| 0
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| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
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| 1
| 0
| 0
| null | 0
| 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
| 6
|
b4852865debfe5ad46a3216d1c9329ca99b558df
| 1,860
|
py
|
Python
|
app.py
|
Abdifatah135/New
|
588841ae6548a3101184e13cf6b84fde02e1afcd
|
[
"Unlicense"
] | null | null | null |
app.py
|
Abdifatah135/New
|
588841ae6548a3101184e13cf6b84fde02e1afcd
|
[
"Unlicense"
] | 1
|
2021-06-02T00:53:50.000Z
|
2021-06-02T00:53:50.000Z
|
app.py
|
Abdifatah135/New
|
588841ae6548a3101184e13cf6b84fde02e1afcd
|
[
"Unlicense"
] | null | null | null |
from flask import Flask, render_template
from newsapi import NewsApiClient
app = Flask(__name__)
@app.route('/')
def Index():
newsapi = NewsApiClient(api_key="6788abcbf60f48dc9cee181b96f275d3")
topheadlines = newsapi.get_top_headlines(sources="al-jazeera-english")
articles = topheadlines['articles']
desc = []
news = []
img = []
for i in range(len(articles)):
myarticles = articles[i]
news.append(myarticles['title'])
desc.append(myarticles['description'])
img.append(myarticles['urlToImage'])
mylist = zip(news, desc, img)
return render_template('index.htm', context = mylist)
@app.route('/bbc')
def bbc():
newsapi = NewsApiClient(api_key="6788abcbf60f48dc9cee181b96f275d3")
topheadlines = newsapi.get_top_headlines(sources="bbc-news")
articles = topheadlines['articles']
desc = []
news = []
img = []
for i in range(len(articles)):
myarticles = articles[i]
news.append(myarticles['title'])
desc.append(myarticles['description'])
img.append(myarticles['urlToImage'])
mylist = zip(news, desc, img)
return render_template('bbc.htm', context=mylist)
@app.route('/Aljzeera')
def Aljzeera():
newsapi = NewsApiClient(api_key="6788abcbf60f48dc9cee181b96f275d3")
topheadlines = newsapi.get_top_headlines(sources="abc-news")
articles = topheadlines['articles']
desc = []
news = []
img = []
for i in range(len(articles)):
myarticles = articles[i]
news.append(myarticles['title'])
desc.append(myarticles['description'])
img.append(myarticles['urlToImage'])
mylist = zip(news, desc, img)
return render_template('Aljzeera.htm', context=mylist)
if __name__ == "__main__":
app.run(debug=True)
| 21.37931
| 74
| 0.64086
| 191
| 1,860
| 6.109948
| 0.26178
| 0.123393
| 0.059126
| 0.066838
| 0.829477
| 0.788346
| 0.788346
| 0.788346
| 0.788346
| 0.788346
| 0
| 0.037422
| 0.224194
| 1,860
| 87
| 75
| 21.37931
| 0.77131
| 0
| 0
| 0.66
| 0
| 0
| 0.151531
| 0.051585
| 0
| 0
| 0
| 0
| 0
| 1
| 0.06
| false
| 0
| 0.04
| 0
| 0.16
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
81ef953dc4a4920d41aaaccc13b5f11fb975e48c
| 1,213
|
py
|
Python
|
test/test_unit_construct_hostname.py
|
Saad-K/snowflake-connector-python
|
38d123700313690ef65103368007f1cff06d4318
|
[
"Apache-2.0"
] | 1
|
2020-08-04T08:30:42.000Z
|
2020-08-04T08:30:42.000Z
|
test/test_unit_construct_hostname.py
|
Saad-K/snowflake-connector-python
|
38d123700313690ef65103368007f1cff06d4318
|
[
"Apache-2.0"
] | null | null | null |
test/test_unit_construct_hostname.py
|
Saad-K/snowflake-connector-python
|
38d123700313690ef65103368007f1cff06d4318
|
[
"Apache-2.0"
] | 1
|
2021-02-09T17:52:35.000Z
|
2021-02-09T17:52:35.000Z
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2012-2019 Snowflake Computing Inc. All right reserved.
#
from snowflake.connector.util_text import construct_hostname
def test_construct_hostname_basic():
assert construct_hostname('eu-central-1', 'account1') == \
'account1.eu-central-1.snowflakecomputing.com'
assert construct_hostname('', 'account1') == \
'account1.snowflakecomputing.com'
assert construct_hostname(None, 'account1') == \
'account1.snowflakecomputing.com'
assert construct_hostname('as-east-3', 'account1') == \
'account1.as-east-3.snowflakecomputing.com'
assert construct_hostname('as-east-3', 'account1.eu-central-1') == \
'account1.as-east-3.snowflakecomputing.com'
assert construct_hostname('', 'account1.eu-central-1') == \
'account1.eu-central-1.snowflakecomputing.com'
assert construct_hostname(None, 'account1.eu-central-1') == \
'account1.eu-central-1.snowflakecomputing.com'
assert construct_hostname(None, 'account1-jkabfvdjisoa778wqfgeruishafeuw89q.global') == \
'account1-jkabfvdjisoa778wqfgeruishafeuw89q.global.snowflakecomputing.com'
| 35.676471
| 93
| 0.694971
| 126
| 1,213
| 6.587302
| 0.31746
| 0.204819
| 0.221687
| 0.303614
| 0.626506
| 0.614458
| 0.614458
| 0.518072
| 0.518072
| 0.212048
| 0
| 0.045545
| 0.167354
| 1,213
| 33
| 94
| 36.757576
| 0.776238
| 0.091509
| 0
| 0.388889
| 0
| 0
| 0.475843
| 0.419325
| 0
| 0
| 0
| 0
| 0.444444
| 1
| 0.055556
| true
| 0
| 0.055556
| 0
| 0.111111
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
c306e6b4df050d36627ce3fee7183e2ac27e09e1
| 47
|
py
|
Python
|
es_stats_zabbix/__init__.py
|
jameskirsop/es_stats_zabbix
|
3e56282377332023dbbde4c4df5835acaf603acc
|
[
"Apache-2.0"
] | 13
|
2015-11-17T17:17:25.000Z
|
2019-10-11T06:34:42.000Z
|
es_stats_zabbix/__init__.py
|
jameskirsop/es_stats_zabbix
|
3e56282377332023dbbde4c4df5835acaf603acc
|
[
"Apache-2.0"
] | 5
|
2016-05-03T19:56:13.000Z
|
2018-10-23T14:03:08.000Z
|
es_stats_zabbix/__init__.py
|
jameskirsop/es_stats_zabbix
|
3e56282377332023dbbde4c4df5835acaf603acc
|
[
"Apache-2.0"
] | 9
|
2015-11-19T09:05:50.000Z
|
2019-08-29T11:43:10.000Z
|
from es_stats_zabbix.version import __version__
| 47
| 47
| 0.914894
| 7
| 47
| 5.285714
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.06383
| 47
| 1
| 47
| 47
| 0.840909
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
c3307df2c1d9d0b3b639afb57423b9c3d7c3eb82
| 104
|
py
|
Python
|
src/datepicker/views.py
|
uakora/webplugins-bydjango
|
63d2d6e2a71dd88330fb30dd43df7298c1c8b04b
|
[
"MIT"
] | null | null | null |
src/datepicker/views.py
|
uakora/webplugins-bydjango
|
63d2d6e2a71dd88330fb30dd43df7298c1c8b04b
|
[
"MIT"
] | null | null | null |
src/datepicker/views.py
|
uakora/webplugins-bydjango
|
63d2d6e2a71dd88330fb30dd43df7298c1c8b04b
|
[
"MIT"
] | null | null | null |
from django.shortcuts import render
def learn_my97(request):
return render(request, 'my97.html')
| 14.857143
| 39
| 0.75
| 14
| 104
| 5.5
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.045455
| 0.153846
| 104
| 6
| 40
| 17.333333
| 0.829545
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 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
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 6
|
c3389a7a1b384d46d0eee457b25fd9e526d0a270
| 8,046
|
py
|
Python
|
mumbleroni/tests/test_settings_datastructure.py
|
Peter-Morawski/MumbleRoni
|
b1c6119a91b720f1a04b51d65b337ee94df3a6ac
|
[
"MIT"
] | 1
|
2021-03-28T17:21:53.000Z
|
2021-03-28T17:21:53.000Z
|
mumbleroni/tests/test_settings_datastructure.py
|
Peter-Morawski/MumbleRoni
|
b1c6119a91b720f1a04b51d65b337ee94df3a6ac
|
[
"MIT"
] | null | null | null |
mumbleroni/tests/test_settings_datastructure.py
|
Peter-Morawski/MumbleRoni
|
b1c6119a91b720f1a04b51d65b337ee94df3a6ac
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
import os
import unittest
from ..settings.datastructure import Settings
class SettingsDataStructureTests(unittest.TestCase):
def setUp(self):
self._host = "example.domain.com"
self._port = 1337
self._user = "MumbleRoni"
self._password = "123456"
self._default_channel_str = "In - Game"
self._default_channel_int = 1
self._certificate_path = os.path.curdir
def test_parse_from_none(self):
with self.assertRaises(ValueError):
Settings.from_dict(None)
def test_parse_from_empty_dict(self):
with self.assertRaises(ValueError):
Settings.from_dict({})
def test_parse_from_dict_missing_host(self):
settings = {
"server": {
"username": self._host,
}
}
with self.assertRaises(ValueError):
Settings.from_dict(settings)
def test_parse_from_dict_empty_host(self):
settings = {
"server": {
"host": "",
}
}
with self.assertRaises(ValueError):
Settings.from_dict(settings)
def test_parse_from_dict_host_wrong_type(self):
settings = {
"server": {
"host": 123,
}
}
with self.assertRaises(ValueError):
Settings.from_dict(settings)
def test_parse_from_dict_missing_username(self):
settings = {
"server": {
"host": self._host,
}
}
with self.assertRaises(ValueError):
Settings.from_dict(settings)
def test_parse_from_dict_empty_username(self):
settings = {
"server": {
"host": self._host,
"username": "",
}
}
with self.assertRaises(ValueError):
Settings.from_dict(settings)
def test_parse_from_dict_username_wrong_type(self):
settings = {
"server": {
"host": self._host,
"username": 123,
}
}
with self.assertRaises(ValueError):
Settings.from_dict(settings)
def test_parse_from_dict_empty_password(self):
settings = {
"server": {
"host": self._host,
"username": self._user,
"password": ""
}
}
expected = Settings()
expected.server.host = self._host
expected.server.username = self._user
expected.server.password = ""
actual = Settings.from_dict(settings)
assert expected.server.host == actual.server.host
assert expected.server.username == actual.server.username
assert expected.server.password == actual.server.password
def test_parse_from_dict_password_wrong_type(self):
settings = {
"server": {
"host": self._host,
"username": self._user,
"password": 123
}
}
with self.assertRaises(ValueError):
Settings.from_dict(settings)
def test_parse_from_dict_default_channel_wrong_type(self):
settings = {
"server": {
"host": self._host,
"username": self._user,
"default_channel": False,
}
}
with self.assertRaises(ValueError):
Settings.from_dict(settings)
def test_parse_from_dict_default_channel_str(self):
settings = {
"server": {
"host": self._host,
"username": self._user,
"default_channel": self._default_channel_str,
}
}
expected = Settings()
expected.server.host = self._host
expected.server.username = self._user
expected.server.default_channel = self._default_channel_str
actual = Settings.from_dict(settings)
assert expected.server.host == actual.server.host
assert expected.server.username == actual.server.username
assert expected.server.default_channel == actual.server.default_channel
def test_parse_from_dict_default_channel_int(self):
settings = {
"server": {
"host": self._host,
"username": self._user,
"default_channel": self._default_channel_int,
}
}
expected = Settings()
expected.server.host = self._host
expected.server.username = self._user
expected.server.default_channel = self._default_channel_int
actual = Settings.from_dict(settings)
assert expected.server.host == actual.server.host
assert expected.server.username == actual.server.username
assert expected.server.default_channel == actual.server.default_channel
def test_parse_from_dict_port_wrong_type(self):
settings = {
"server": {
"host": self._host,
"username": self._user,
"port": "some_port",
}
}
with self.assertRaises(ValueError):
Settings.from_dict(settings)
def test_parse_from_dict_port_is_none(self):
settings = {
"server": {
"host": self._host,
"username": self._user,
"port": None,
}
}
with self.assertRaises(ValueError):
Settings.from_dict(settings)
def test_parse_from_dict_port(self):
settings = {
"server": {
"host": self._host,
"username": self._user,
"port": self._port,
}
}
expected = Settings()
expected.server.host = self._host
expected.server.username = self._user
expected.server.port = self._port
actual = Settings.from_dict(settings)
assert expected.server.host == actual.server.host
assert expected.server.username == actual.server.username
assert expected.server.port == actual.server.port
def test_parse_from_dict_certificate_path_wrong_type(self):
settings = {
"server": {
"host": self._host,
"username": self._user,
"certificate_path": 123,
}
}
with self.assertRaises(ValueError):
Settings.from_dict(settings)
def test_parse_from_dict_certificate_path_invalid_path(self):
settings = {
"server": {
"host": self._host,
"username": self._user,
"certificate_path": "invalid",
}
}
with self.assertRaises(ValueError):
Settings.from_dict(settings)
def test_parse_from_dict_certificate_path_cur_dir(self):
settings = {
"server": {
"host": self._host,
"username": self._user,
"certificate_path": self._certificate_path,
}
}
expected = Settings()
expected.server.host = self._host
expected.server.username = self._user
expected.server.certificate_path = self._certificate_path
actual = Settings.from_dict(settings)
assert expected.server.host == actual.server.host
assert expected.server.username == actual.server.username
assert expected.server.certificate_path == actual.server.certificate_path
def test_parse_from_valid_dict_1(self):
settings = {
"server": {
"host": self._host,
"username": self._user,
}
}
expected = Settings()
expected.server.host = self._host
expected.server.username = self._user
actual = Settings.from_dict(settings)
assert actual.server.host is expected.server.host
assert actual.server.username is expected.server.username
if __name__ == '__main__':
unittest.main()
| 28.83871
| 81
| 0.561646
| 760
| 8,046
| 5.65
| 0.081579
| 0.068933
| 0.068468
| 0.08803
| 0.833256
| 0.816255
| 0.789008
| 0.759898
| 0.736609
| 0.714951
| 0
| 0.004719
| 0.341536
| 8,046
| 278
| 82
| 28.942446
| 0.805776
| 0.00261
| 0
| 0.560538
| 0
| 0
| 0.060327
| 0
| 0
| 0
| 0
| 0
| 0.139013
| 1
| 0.09417
| false
| 0.03139
| 0.013453
| 0
| 0.112108
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
6f07b1e6dd52db107d74ed2e6da84f7edff620de
| 167
|
py
|
Python
|
entrypoint.py
|
uosorio/heroku_face
|
7d6465e71dba17a15d8edaef520adb2fcd09d91e
|
[
"Apache-2.0"
] | null | null | null |
entrypoint.py
|
uosorio/heroku_face
|
7d6465e71dba17a15d8edaef520adb2fcd09d91e
|
[
"Apache-2.0"
] | null | null | null |
entrypoint.py
|
uosorio/heroku_face
|
7d6465e71dba17a15d8edaef520adb2fcd09d91e
|
[
"Apache-2.0"
] | null | null | null |
import os
from flask import send_from_directory
from app import create_app
settings_module = os.getenv('APP_SETTINGS_MODULE')
app = create_app(settings_module)
| 12.846154
| 50
| 0.808383
| 25
| 167
| 5.08
| 0.44
| 0.259843
| 0.401575
| 0.362205
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.137725
| 167
| 12
| 51
| 13.916667
| 0.881944
| 0
| 0
| 0
| 0
| 0
| 0.115854
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.6
| 0
| 0.6
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
6f2fb186d50bbb17dc58de68aad0edd4909659ba
| 76
|
py
|
Python
|
app/controllers/controller.py
|
anujaku/is601finalproject
|
705bf2dbf4ab005079027ca6de5d07af74e9bec3
|
[
"MIT"
] | null | null | null |
app/controllers/controller.py
|
anujaku/is601finalproject
|
705bf2dbf4ab005079027ca6de5d07af74e9bec3
|
[
"MIT"
] | null | null | null |
app/controllers/controller.py
|
anujaku/is601finalproject
|
705bf2dbf4ab005079027ca6de5d07af74e9bec3
|
[
"MIT"
] | 1
|
2021-12-12T03:42:23.000Z
|
2021-12-12T03:42:23.000Z
|
class ControllerBase:
@staticmethod
def base():
return True
| 15.2
| 21
| 0.631579
| 7
| 76
| 6.857143
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.302632
| 76
| 4
| 22
| 19
| 0.90566
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0
| 0.25
| 0.75
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
6f69afd5a92c53a2d8157a8bd6b0d7096089bb76
| 37
|
py
|
Python
|
pywren_ibm_cloud/storage/__init__.py
|
class-euproject/lithops
|
acf381817673c29db0e9e143001029357890a39b
|
[
"Apache-2.0"
] | 1
|
2020-08-04T08:16:31.000Z
|
2020-08-04T08:16:31.000Z
|
pywren_ibm_cloud/storage/__init__.py
|
class-euproject/lithops
|
acf381817673c29db0e9e143001029357890a39b
|
[
"Apache-2.0"
] | null | null | null |
pywren_ibm_cloud/storage/__init__.py
|
class-euproject/lithops
|
acf381817673c29db0e9e143001029357890a39b
|
[
"Apache-2.0"
] | null | null | null |
from .storage import InternalStorage
| 18.5
| 36
| 0.864865
| 4
| 37
| 8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108108
| 37
| 1
| 37
| 37
| 0.969697
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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|
0
| 6
|
48933de2e7aeeb2629f6727e321c749ca7a62c09
| 1,893
|
py
|
Python
|
utils/data_manager.py
|
stu1130/deeplearning-benchmark
|
cdf816f92c9425ef1928f3149eaa544077a0c1b2
|
[
"Apache-2.0"
] | 131
|
2016-11-30T05:34:28.000Z
|
2022-01-13T20:33:03.000Z
|
utils/data_manager.py
|
stu1130/deeplearning-benchmark
|
cdf816f92c9425ef1928f3149eaa544077a0c1b2
|
[
"Apache-2.0"
] | 35
|
2017-04-02T02:12:00.000Z
|
2020-04-21T22:59:45.000Z
|
utils/data_manager.py
|
stu1130/deeplearning-benchmark
|
cdf816f92c9425ef1928f3149eaa544077a0c1b2
|
[
"Apache-2.0"
] | 102
|
2016-11-30T05:34:46.000Z
|
2022-03-10T11:00:00.000Z
|
import os
def getImagenetData(dataset):
if dataset == 'imagenet' or dataset == 'imagenet-256px-q90':
os.system('mkdir -p data')
if not os.path.exists('./data/imagenet1k-train.rec'):
os.system("aws s3 cp s3://imagenet-rec/imagenet1k-train.rec data/")
if not os.path.exists('./data/imagenet1k-val.rec'):
os.system("aws s3 cp s3://imagenet-rec/imagenet1k-val.rec data/")
elif dataset == 'imagenet-480px-q95':
if not os.path.exists(os.path.expanduser('~/data/train-480px-q95.rec')):
os.system("wget -q https://s3.amazonaws.com/aws-ml-platform-datasets/imagenet/480px-q95/train-480px-q95.rec -P ~/data/")
if not os.path.exists(os.path.expanduser('~/data/val-256px-q95.rec')):
os.system("wget -q https://s3.amazonaws.com/aws-ml-platform-datasets/imagenet/256px-q95/val-256px-q95.rec -P ~/data/")
elif dataset == 'imagenet-480px-256px-q95':
if not os.path.exists(os.path.expanduser('~/data/train-480px-q95.rec')):
os.system("wget -q https://s3.amazonaws.com/aws-ml-platform-datasets/imagenet/480px-q95/train-480px-q95.rec -P ~/data/")
if not os.path.exists(os.path.expanduser('~/data/val-256px-q95.rec')):
os.system("wget -q https://s3.amazonaws.com/aws-ml-platform-datasets/imagenet/256px-q95/val-256px-q95.rec -P ~/data/")
if not os.path.exists(os.path.expanduser('~/data/train-256px-q95.rec')):
os.system("wget -q https://s3.amazonaws.com/aws-ml-platform-datasets/imagenet/256px-q95/train-256px-q95.rec -P ~/data/")
elif dataset == 'imagenet-ebs':
if not os.path.exists(os.path.expanduser('~/data/')):
os.system('mkdir -p ~/data/')
os.system("aws s3 sync s3://aws-ml-platform-datasets/imagenet/pass-through/ ~/data/ --exclude \"train*\"")
else:
raise ValueError('Unknown dataset')
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0
| 6
|
489c483137af9974722b611792d1c872adf443ba
| 26
|
py
|
Python
|
backend/app/app/api/api_v1/router/home/__init__.py
|
PY-GZKY/Tplan
|
9f5335f9a9a28afce608744bebed1d9827068e6d
|
[
"MIT"
] | 121
|
2021-10-29T20:21:37.000Z
|
2022-03-21T03:33:52.000Z
|
backend/app/app/api/api_v1/router/home/__init__.py
|
GZKY-PY/Tplan
|
425ca8a497cdb3438bdbf6c72ed8dc234479dd00
|
[
"MIT"
] | null | null | null |
backend/app/app/api/api_v1/router/home/__init__.py
|
GZKY-PY/Tplan
|
425ca8a497cdb3438bdbf6c72ed8dc234479dd00
|
[
"MIT"
] | 8
|
2021-11-06T07:02:11.000Z
|
2022-02-28T11:53:23.000Z
|
from .index import router
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0
| 6
|
48a5d9ae9540d9303d5f469b49fa44fdde50cd0f
| 18
|
py
|
Python
|
ipa/gui/__init__.py
|
liepa-project/liepa_ipa
|
f53e6895df97e8965f59b0a4e0e62704189f1993
|
[
"BSD-2-Clause"
] | null | null | null |
ipa/gui/__init__.py
|
liepa-project/liepa_ipa
|
f53e6895df97e8965f59b0a4e0e62704189f1993
|
[
"BSD-2-Clause"
] | null | null | null |
ipa/gui/__init__.py
|
liepa-project/liepa_ipa
|
f53e6895df97e8965f59b0a4e0e62704189f1993
|
[
"BSD-2-Clause"
] | null | null | null |
from .ipa import *
| 18
| 18
| 0.722222
| 3
| 18
| 4.333333
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| 0.166667
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|
0
| 6
|
48b09a0e5d57676a5304c1ee9b091d9b884e97f9
| 330,962
|
py
|
Python
|
steam/protobufs/rendermessages_pb2.py
|
ivicel/steamkit-python
|
0a3f250e432cf890965db5e7245841aa512bca22
|
[
"Apache-2.0"
] | 5
|
2018-11-16T08:59:41.000Z
|
2021-04-03T05:32:18.000Z
|
steam/protobufs/rendermessages_pb2.py
|
ivicel/steamkit-python
|
0a3f250e432cf890965db5e7245841aa512bca22
|
[
"Apache-2.0"
] | null | null | null |
steam/protobufs/rendermessages_pb2.py
|
ivicel/steamkit-python
|
0a3f250e432cf890965db5e7245841aa512bca22
|
[
"Apache-2.0"
] | null | null | null |
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: steam/protobufs/rendermessages.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
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()
DESCRIPTOR = _descriptor.FileDescriptor(
name='steam/protobufs/rendermessages.proto',
package='',
syntax='proto2',
serialized_options=_b('H\001\200\001\000'),
serialized_pb=_b('\n$steam/protobufs/rendermessages.proto\"\xc8\x01\n\x0e\x43MsgBeginFrame\x12\x18\n\x10\x66rame_paint_time\x18\x01 \x01(\x01\x12\x15\n\rsurface_width\x18\x02 \x01(\r\x12\x16\n\x0esurface_height\x18\x03 \x01(\r\x12\x15\n\rrender_target\x18\x04 \x01(\r\x12\x17\n\x0fui_scale_factor\x18\x05 \x01(\x01\x12\x13\n\x0b\x65mpty_frame\x18\x06 \x01(\x08\x12(\n clear_gpu_resources_before_frame\x18\x07 \x01(\x08\"o\n\x0c\x43MsgEndFrame\x12\x1f\n\x17mouse_cursor_texture_id\x18\x01 \x01(\r\x12\x1e\n\x16mouse_cursor_hotspot_x\x18\x02 \x01(\x02\x12\x1e\n\x16mouse_cursor_hotspot_y\x18\x03 \x01(\x02\"/\n\x13\x43MsgClearBackbuffer\x12\x18\n\x10\x63lear_color_rgba\x18\x01 \x01(\r\",\n\x11\x43MsgDeleteTexture\x12\x17\n\x0ftexture_pointer\x18\x01 \x01(\x04\"%\n\x0f\x43MsgDeletePanel\x12\x12\n\ncontext_id\x18\x01 \x01(\x04\"E\n\x18\x43MsgDeleteParticleSystem\x12\x14\n\x0cpanel_handle\x18\x01 \x01(\x04\x12\x13\n\x0b\x62rush_index\x18\x02 \x01(\r\",\n\tCMsgPoint\x12\t\n\x01x\x18\x01 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\x01(\x08\x12=\n\x15\x66ill_brush_collection\x18\x07 \x01(\x0b\x32\x1e.CMsgRenderFillBrushCollection\x12\x19\n\x0eletter_spacing\x18\x08 \x01(\x05:\x01\x30\x12,\n\rinline_object\x18\t \x01(\x0b\x32\x15.CMsgTextInlineObject\"j\n\x19\x43MsgRenderTextRangeFormat\x12\x13\n\x0bstart_index\x18\x01 \x01(\r\x12\x11\n\tend_index\x18\x02 \x01(\r\x12%\n\x06\x66ormat\x18\x03 \x01(\x0b\x32\x15.CMsgRenderTextFormat\"\xb4\x02\n\x12\x43MsgDrawTextRegion\x12\x10\n\x08raw_text\x18\x0b \x01(\x0c\x12\x12\n\ntext_chars\x18\x0c \x01(\x05\x12\x15\n\rtext_encoding\x18\r \x01(\x05\x12\'\n\x0e\x64\x65\x66\x61ult_format\x18\x03 \x01(\x0b\x32\x0f.CMsgTextFormat\x12\x12\n\ntext_align\x18\x04 \x01(\r\x12\x13\n\x0bline_height\x18\x05 \x01(\r\x12\x1c\n\x08top_left\x18\x06 \x01(\x0b\x32\n.CMsgPoint\x12 \n\x0c\x62ottom_right\x18\x07 \x01(\x0b\x32\n.CMsgPoint\x12\x10\n\x08wrapping\x18\x08 \x01(\x08\x12\x10\n\x08\x65llipsis\x18\t \x01(\x08\x12+\n\rrange_formats\x18\n \x03(\x0b\x32\x14.CMsgTextRangeFormat\"\xe9\x02\n\x14\x43MsgRenderTextRegion\x12\x10\n\x08raw_text\x18\x0c \x01(\x0c\x12\x12\n\ntext_chars\x18\r \x01(\x05\x12\x15\n\rtext_encoding\x18\x0e \x01(\x05\x12-\n\x0e\x64\x65\x66\x61ult_format\x18\x03 \x01(\x0b\x32\x15.CMsgRenderTextFormat\x12\x12\n\ntext_align\x18\x04 \x01(\r\x12\x13\n\x0bline_height\x18\x05 \x01(\r\x12\x1c\n\x08top_left\x18\x06 \x01(\x0b\x32\n.CMsgPoint\x12 \n\x0c\x62ottom_right\x18\x07 \x01(\x0b\x32\n.CMsgPoint\x12\x10\n\x08wrapping\x18\x08 \x01(\x08\x12\x10\n\x08\x65llipsis\x18\t \x01(\x08\x12\x31\n\rrange_formats\x18\n \x03(\x0b\x32\x1a.CMsgRenderTextRangeFormat\x12%\n\x0btext_shadow\x18\x0b \x01(\x0b\x32\x10.CTextShadowData\"\xe3\x01\n\x19\x43MsgRequestRenderCallback\x12\x14\n\x0c\x63\x61llback_obj\x18\x01 \x01(\x0c\x12\x1c\n\x08top_left\x18\x02 \x01(\x0b\x32\n.CMsgPoint\x12 \n\x0c\x62ottom_right\x18\x03 \x01(\x0b\x32\n.CMsgPoint\x12$\n\x10top_left_padding\x18\x04 \x01(\x0b\x32\n.CMsgPoint\x12(\n\x14\x62ottom_right_padding\x18\x05 \x01(\x0b\x32\n.CMsgPoint\x12 \n\x18needs_redraw_every_frame\x18\x06 \x01(\x08\x42\x05H\x01\x80\x01\x00')
)
_CMSGBEGINFRAME = _descriptor.Descriptor(
name='CMsgBeginFrame',
full_name='CMsgBeginFrame',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='frame_paint_time', full_name='CMsgBeginFrame.frame_paint_time', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='surface_width', full_name='CMsgBeginFrame.surface_width', index=1,
number=2, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='surface_height', full_name='CMsgBeginFrame.surface_height', index=2,
number=3, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='render_target', full_name='CMsgBeginFrame.render_target', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='ui_scale_factor', full_name='CMsgBeginFrame.ui_scale_factor', index=4,
number=5, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='empty_frame', full_name='CMsgBeginFrame.empty_frame', index=5,
number=6, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='clear_gpu_resources_before_frame', full_name='CMsgBeginFrame.clear_gpu_resources_before_frame', index=6,
number=7, 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=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=41,
serialized_end=241,
)
_CMSGENDFRAME = _descriptor.Descriptor(
name='CMsgEndFrame',
full_name='CMsgEndFrame',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='mouse_cursor_texture_id', full_name='CMsgEndFrame.mouse_cursor_texture_id', index=0,
number=1, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='mouse_cursor_hotspot_x', full_name='CMsgEndFrame.mouse_cursor_hotspot_x', index=1,
number=2, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='mouse_cursor_hotspot_y', full_name='CMsgEndFrame.mouse_cursor_hotspot_y', index=2,
number=3, type=2, cpp_type=6, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=243,
serialized_end=354,
)
_CMSGCLEARBACKBUFFER = _descriptor.Descriptor(
name='CMsgClearBackbuffer',
full_name='CMsgClearBackbuffer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='clear_color_rgba', full_name='CMsgClearBackbuffer.clear_color_rgba', index=0,
number=1, type=13, cpp_type=3, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=356,
serialized_end=403,
)
_CMSGDELETETEXTURE = _descriptor.Descriptor(
name='CMsgDeleteTexture',
full_name='CMsgDeleteTexture',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='texture_pointer', full_name='CMsgDeleteTexture.texture_pointer', index=0,
number=1, type=4, cpp_type=4, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=405,
serialized_end=449,
)
_CMSGDELETEPANEL = _descriptor.Descriptor(
name='CMsgDeletePanel',
full_name='CMsgDeletePanel',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='context_id', full_name='CMsgDeletePanel.context_id', index=0,
number=1, type=4, cpp_type=4, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=451,
serialized_end=488,
)
_CMSGDELETEPARTICLESYSTEM = _descriptor.Descriptor(
name='CMsgDeleteParticleSystem',
full_name='CMsgDeleteParticleSystem',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='panel_handle', full_name='CMsgDeleteParticleSystem.panel_handle', index=0,
number=1, type=4, cpp_type=4, 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),
_descriptor.FieldDescriptor(
name='brush_index', full_name='CMsgDeleteParticleSystem.brush_index', index=1,
number=2, type=13, cpp_type=3, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=490,
serialized_end=559,
)
_CMSGPOINT = _descriptor.Descriptor(
name='CMsgPoint',
full_name='CMsgPoint',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='x', full_name='CMsgPoint.x', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='y', full_name='CMsgPoint.y', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='z', full_name='CMsgPoint.z', index=2,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=561,
serialized_end=605,
)
_CMSGMATRIX4X4 = _descriptor.Descriptor(
name='CMsgMatrix4x4',
full_name='CMsgMatrix4x4',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='m00', full_name='CMsgMatrix4x4.m00', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='m01', full_name='CMsgMatrix4x4.m01', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='m02', full_name='CMsgMatrix4x4.m02', index=2,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='m03', full_name='CMsgMatrix4x4.m03', index=3,
number=4, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='m10', full_name='CMsgMatrix4x4.m10', index=4,
number=5, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='m11', full_name='CMsgMatrix4x4.m11', index=5,
number=6, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='m12', full_name='CMsgMatrix4x4.m12', index=6,
number=7, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='m13', full_name='CMsgMatrix4x4.m13', index=7,
number=8, 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),
_descriptor.FieldDescriptor(
name='m20', full_name='CMsgMatrix4x4.m20', index=8,
number=9, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='m21', full_name='CMsgMatrix4x4.m21', index=9,
number=10, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='m22', full_name='CMsgMatrix4x4.m22', index=10,
number=11, 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),
_descriptor.FieldDescriptor(
name='m23', full_name='CMsgMatrix4x4.m23', index=11,
number=12, 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),
_descriptor.FieldDescriptor(
name='m30', full_name='CMsgMatrix4x4.m30', index=12,
number=13, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='m31', full_name='CMsgMatrix4x4.m31', index=13,
number=14, 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),
_descriptor.FieldDescriptor(
name='m32', full_name='CMsgMatrix4x4.m32', index=14,
number=15, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='m33', full_name='CMsgMatrix4x4.m33', index=15,
number=16, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=608,
serialized_end=831,
)
_CRADIUSDATA_CCORNERRADIUS = _descriptor.Descriptor(
name='CCornerRadius',
full_name='CRadiusData.CCornerRadius',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='horizontal', full_name='CRadiusData.CCornerRadius.horizontal', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='vertical', full_name='CRadiusData.CCornerRadius.vertical', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1041,
serialized_end=1094,
)
_CRADIUSDATA = _descriptor.Descriptor(
name='CRadiusData',
full_name='CRadiusData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='top_left', full_name='CRadiusData.top_left', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='top_right', full_name='CRadiusData.top_right', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bottom_right', full_name='CRadiusData.bottom_right', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bottom_left', full_name='CRadiusData.bottom_left', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_CRADIUSDATA_CCORNERRADIUS, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=834,
serialized_end=1094,
)
_CBORDERDATA_CBORDERSIDE = _descriptor.Descriptor(
name='CBorderSide',
full_name='CBorderData.CBorderSide',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='style', full_name='CBorderData.CBorderSide.style', index=0,
number=1, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='width', full_name='CBorderData.CBorderSide.width', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='color', full_name='CBorderData.CBorderSide.color', index=2,
number=3, type=13, cpp_type=3, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1274,
serialized_end=1332,
)
_CBORDERDATA = _descriptor.Descriptor(
name='CBorderData',
full_name='CBorderData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='top', full_name='CBorderData.top', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='right', full_name='CBorderData.right', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bottom', full_name='CBorderData.bottom', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='left', full_name='CBorderData.left', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[_CBORDERDATA_CBORDERSIDE, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1097,
serialized_end=1332,
)
_CBOXSHADOWDATA = _descriptor.Descriptor(
name='CBoxShadowData',
full_name='CBoxShadowData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='inset', full_name='CBoxShadowData.inset', index=0,
number=1, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='horizontal_offset', full_name='CBoxShadowData.horizontal_offset', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='vertical_offset', full_name='CBoxShadowData.vertical_offset', index=2,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='blur_radius', full_name='CBoxShadowData.blur_radius', index=3,
number=4, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='spread_distance', full_name='CBoxShadowData.spread_distance', index=4,
number=5, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='color', full_name='CBoxShadowData.color', index=5,
number=6, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='fill', full_name='CBoxShadowData.fill', index=6,
number=7, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='animating', full_name='CBoxShadowData.animating', index=7,
number=8, 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=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1335,
serialized_end=1512,
)
_CTEXTSHADOWDATA = _descriptor.Descriptor(
name='CTextShadowData',
full_name='CTextShadowData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='horizontal_offset', full_name='CTextShadowData.horizontal_offset', index=0,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='vertical_offset', full_name='CTextShadowData.vertical_offset', index=1,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='blur_radius', full_name='CTextShadowData.blur_radius', index=2,
number=4, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='color', full_name='CTextShadowData.color', index=3,
number=6, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animating', full_name='CTextShadowData.animating', index=4,
number=8, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='strength', full_name='CTextShadowData.strength', index=5,
number=9, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1515,
serialized_end=1657,
)
_CRADIALCLIPDATA = _descriptor.Descriptor(
name='CRadialClipData',
full_name='CRadialClipData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='center_x', full_name='CRadialClipData.center_x', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='center_y', full_name='CRadialClipData.center_y', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='start_angle', full_name='CRadialClipData.start_angle', index=2,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='sector_angle', full_name='CRadialClipData.sector_angle', index=3,
number=4, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1659,
serialized_end=1755,
)
_CMSGCLIPDATA = _descriptor.Descriptor(
name='CMsgClipData',
full_name='CMsgClipData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='rect_clip', full_name='CMsgClipData.rect_clip', index=0,
number=1, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='left', full_name='CMsgClipData.left', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='top', full_name='CMsgClipData.top', index=2,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='right', full_name='CMsgClipData.right', index=3,
number=4, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bottom', full_name='CMsgClipData.bottom', index=4,
number=5, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='radial_clip', full_name='CMsgClipData.radial_clip', index=5,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1758,
serialized_end=1888,
)
_CMSGPUSHCOMPOSITINGLAYER = _descriptor.Descriptor(
name='CMsgPushCompositingLayer',
full_name='CMsgPushCompositingLayer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='layer_id', full_name='CMsgPushCompositingLayer.layer_id', index=0,
number=1, type=4, cpp_type=4, 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),
_descriptor.FieldDescriptor(
name='width', full_name='CMsgPushCompositingLayer.width', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='height', full_name='CMsgPushCompositingLayer.height', index=2,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='layer_quad_top_left_x', full_name='CMsgPushCompositingLayer.layer_quad_top_left_x', index=3,
number=4, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='layer_quad_top_left_y', full_name='CMsgPushCompositingLayer.layer_quad_top_left_y', index=4,
number=5, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='layer_quad_top_left_z', full_name='CMsgPushCompositingLayer.layer_quad_top_left_z', index=5,
number=6, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='layer_quad_top_right_x', full_name='CMsgPushCompositingLayer.layer_quad_top_right_x', index=6,
number=7, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='layer_quad_top_right_y', full_name='CMsgPushCompositingLayer.layer_quad_top_right_y', index=7,
number=8, 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),
_descriptor.FieldDescriptor(
name='layer_quad_top_right_z', full_name='CMsgPushCompositingLayer.layer_quad_top_right_z', index=8,
number=9, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='layer_quad_bottom_left_x', full_name='CMsgPushCompositingLayer.layer_quad_bottom_left_x', index=9,
number=10, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='layer_quad_bottom_left_y', full_name='CMsgPushCompositingLayer.layer_quad_bottom_left_y', index=10,
number=11, 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),
_descriptor.FieldDescriptor(
name='layer_quad_bottom_left_z', full_name='CMsgPushCompositingLayer.layer_quad_bottom_left_z', index=11,
number=12, 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),
_descriptor.FieldDescriptor(
name='layer_quad_bottom_right_x', full_name='CMsgPushCompositingLayer.layer_quad_bottom_right_x', index=12,
number=13, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='layer_quad_bottom_right_y', full_name='CMsgPushCompositingLayer.layer_quad_bottom_right_y', index=13,
number=14, 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),
_descriptor.FieldDescriptor(
name='layer_quad_bottom_right_z', full_name='CMsgPushCompositingLayer.layer_quad_bottom_right_z', index=14,
number=15, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m00', full_name='CMsgPushCompositingLayer.transform_m00', index=15,
number=16, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m01', full_name='CMsgPushCompositingLayer.transform_m01', index=16,
number=17, 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),
_descriptor.FieldDescriptor(
name='transform_m02', full_name='CMsgPushCompositingLayer.transform_m02', index=17,
number=18, 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),
_descriptor.FieldDescriptor(
name='transform_m03', full_name='CMsgPushCompositingLayer.transform_m03', index=18,
number=19, 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),
_descriptor.FieldDescriptor(
name='transform_m10', full_name='CMsgPushCompositingLayer.transform_m10', index=19,
number=20, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m11', full_name='CMsgPushCompositingLayer.transform_m11', index=20,
number=21, 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),
_descriptor.FieldDescriptor(
name='transform_m12', full_name='CMsgPushCompositingLayer.transform_m12', index=21,
number=22, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m13', full_name='CMsgPushCompositingLayer.transform_m13', index=22,
number=23, 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),
_descriptor.FieldDescriptor(
name='transform_m20', full_name='CMsgPushCompositingLayer.transform_m20', index=23,
number=24, 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),
_descriptor.FieldDescriptor(
name='transform_m21', full_name='CMsgPushCompositingLayer.transform_m21', index=24,
number=25, 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),
_descriptor.FieldDescriptor(
name='transform_m22', full_name='CMsgPushCompositingLayer.transform_m22', index=25,
number=26, 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),
_descriptor.FieldDescriptor(
name='transform_m23', full_name='CMsgPushCompositingLayer.transform_m23', index=26,
number=27, 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),
_descriptor.FieldDescriptor(
name='transform_m30', full_name='CMsgPushCompositingLayer.transform_m30', index=27,
number=28, 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),
_descriptor.FieldDescriptor(
name='transform_m31', full_name='CMsgPushCompositingLayer.transform_m31', index=28,
number=29, 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),
_descriptor.FieldDescriptor(
name='transform_m32', full_name='CMsgPushCompositingLayer.transform_m32', index=29,
number=30, 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),
_descriptor.FieldDescriptor(
name='transform_m33', full_name='CMsgPushCompositingLayer.transform_m33', index=30,
number=31, 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),
_descriptor.FieldDescriptor(
name='perspective_depth', full_name='CMsgPushCompositingLayer.perspective_depth', index=31,
number=32, 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),
_descriptor.FieldDescriptor(
name='opacity', full_name='CMsgPushCompositingLayer.opacity', index=32,
number=33, 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),
_descriptor.FieldDescriptor(
name='composition_color', full_name='CMsgPushCompositingLayer.composition_color', index=33,
number=34, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='saturation', full_name='CMsgPushCompositingLayer.saturation', index=34,
number=35, 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),
_descriptor.FieldDescriptor(
name='hue_shift', full_name='CMsgPushCompositingLayer.hue_shift', index=35,
number=36, 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),
_descriptor.FieldDescriptor(
name='brightness', full_name='CMsgPushCompositingLayer.brightness', index=36,
number=37, 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),
_descriptor.FieldDescriptor(
name='contrast', full_name='CMsgPushCompositingLayer.contrast', index=37,
number=38, 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),
_descriptor.FieldDescriptor(
name='opacity_mask_texture_id', full_name='CMsgPushCompositingLayer.opacity_mask_texture_id', index=38,
number=39, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='opacity_mask_opacity', full_name='CMsgPushCompositingLayer.opacity_mask_opacity', index=39,
number=40, 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),
_descriptor.FieldDescriptor(
name='border', full_name='CMsgPushCompositingLayer.border', 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='border_radius', full_name='CMsgPushCompositingLayer.border_radius', index=41,
number=42, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='box_shadow', full_name='CMsgPushCompositingLayer.box_shadow', index=42,
number=43, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='gaussianblur_passes', full_name='CMsgPushCompositingLayer.gaussianblur_passes', index=43,
number=44, 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),
_descriptor.FieldDescriptor(
name='gaussianblur_stddevhor', full_name='CMsgPushCompositingLayer.gaussianblur_stddevhor', index=44,
number=45, 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),
_descriptor.FieldDescriptor(
name='gaussianblur_stddevver', full_name='CMsgPushCompositingLayer.gaussianblur_stddevver', index=45,
number=46, 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),
_descriptor.FieldDescriptor(
name='scale_2d_factors_x', full_name='CMsgPushCompositingLayer.scale_2d_factors_x', index=46,
number=47, 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),
_descriptor.FieldDescriptor(
name='scale_2d_factors_y', full_name='CMsgPushCompositingLayer.scale_2d_factors_y', index=47,
number=48, 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),
_descriptor.FieldDescriptor(
name='rotate_2d', full_name='CMsgPushCompositingLayer.rotate_2d', index=48,
number=49, 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),
_descriptor.FieldDescriptor(
name='needs_clear', full_name='CMsgPushCompositingLayer.needs_clear', index=49,
number=50, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='needs_depth', full_name='CMsgPushCompositingLayer.needs_depth', index=50,
number=51, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='needs_intermediate_texture', full_name='CMsgPushCompositingLayer.needs_intermediate_texture', index=51,
number=52, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='needs_redraw_every_frame', full_name='CMsgPushCompositingLayer.needs_redraw_every_frame', index=52,
number=53, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='text_shadow', full_name='CMsgPushCompositingLayer.text_shadow', index=53,
number=54, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='mix_blend_mode', full_name='CMsgPushCompositingLayer.mix_blend_mode', index=54,
number=55, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='occluded_left_edge', full_name='CMsgPushCompositingLayer.occluded_left_edge', index=55,
number=56, 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),
_descriptor.FieldDescriptor(
name='occluded_top_edge', full_name='CMsgPushCompositingLayer.occluded_top_edge', index=56,
number=57, 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),
_descriptor.FieldDescriptor(
name='occluded_right_edge', full_name='CMsgPushCompositingLayer.occluded_right_edge', index=57,
number=58, 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),
_descriptor.FieldDescriptor(
name='occluded_bottom_edge', full_name='CMsgPushCompositingLayer.occluded_bottom_edge', index=58,
number=59, 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),
_descriptor.FieldDescriptor(
name='radial_clip', full_name='CMsgPushCompositingLayer.radial_clip', index=59,
number=60, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='motionblur_velocity', full_name='CMsgPushCompositingLayer.motionblur_velocity', index=60,
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),
_descriptor.FieldDescriptor(
name='motionblur_dirx', full_name='CMsgPushCompositingLayer.motionblur_dirx', index=61,
number=62, 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),
_descriptor.FieldDescriptor(
name='motionblur_diry', full_name='CMsgPushCompositingLayer.motionblur_diry', index=62,
number=63, 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),
_descriptor.FieldDescriptor(
name='composition_layer_texture_name', full_name='CMsgPushCompositingLayer.composition_layer_texture_name', index=63,
number=64, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=1891,
serialized_end=3660,
)
_CMSGPOPCOMPOSITINGLAYER = _descriptor.Descriptor(
name='CMsgPopCompositingLayer',
full_name='CMsgPopCompositingLayer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3662,
serialized_end=3687,
)
_CMSGFREECOMPOSITINGLAYER = _descriptor.Descriptor(
name='CMsgFreeCompositingLayer',
full_name='CMsgFreeCompositingLayer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='layer_id', full_name='CMsgFreeCompositingLayer.layer_id', index=0,
number=1, type=4, cpp_type=4, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3689,
serialized_end=3733,
)
_CMSGTRANSITIONDATA = _descriptor.Descriptor(
name='CMsgTransitionData',
full_name='CMsgTransitionData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='start_time', full_name='CMsgTransitionData.start_time', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='delay_seconds', full_name='CMsgTransitionData.delay_seconds', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='duration_seconds', full_name='CMsgTransitionData.duration_seconds', index=2,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='timing_func', full_name='CMsgTransitionData.timing_func', index=3,
number=4, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='cubic_bezier_0', full_name='CMsgTransitionData.cubic_bezier_0', index=4,
number=5, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='cubic_bezier_1', full_name='CMsgTransitionData.cubic_bezier_1', index=5,
number=6, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='cubic_bezier_2', full_name='CMsgTransitionData.cubic_bezier_2', index=6,
number=7, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='cubic_bezier_3', full_name='CMsgTransitionData.cubic_bezier_3', index=7,
number=8, type=2, cpp_type=6, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3736,
serialized_end=3945,
)
_CMSGANIMATIONDATA = _descriptor.Descriptor(
name='CMsgAnimationData',
full_name='CMsgAnimationData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='start_time', full_name='CMsgAnimationData.start_time', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='delay_seconds', full_name='CMsgAnimationData.delay_seconds', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='duration_seconds', full_name='CMsgAnimationData.duration_seconds', index=2,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='timing_func', full_name='CMsgAnimationData.timing_func', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='cubic_bezier_0', full_name='CMsgAnimationData.cubic_bezier_0', index=4,
number=5, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='cubic_bezier_1', full_name='CMsgAnimationData.cubic_bezier_1', index=5,
number=6, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='cubic_bezier_2', full_name='CMsgAnimationData.cubic_bezier_2', index=6,
number=7, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='cubic_bezier_3', full_name='CMsgAnimationData.cubic_bezier_3', index=7,
number=8, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='direction', full_name='CMsgAnimationData.direction', index=8,
number=9, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='iteration', full_name='CMsgAnimationData.iteration', index=9,
number=10, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='frames', full_name='CMsgAnimationData.frames', index=10,
number=11, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=3948,
serialized_end=4232,
)
_CMSGANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='CMsgAnimationFrameData',
full_name='CMsgAnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='percent', full_name='CMsgAnimationFrameData.percent', index=0,
number=1, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='timing_func', full_name='CMsgAnimationFrameData.timing_func', index=1,
number=2, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='cubic_bezier_0', full_name='CMsgAnimationFrameData.cubic_bezier_0', index=2,
number=3, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='cubic_bezier_1', full_name='CMsgAnimationFrameData.cubic_bezier_1', index=3,
number=4, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='cubic_bezier_2', full_name='CMsgAnimationFrameData.cubic_bezier_2', index=4,
number=5, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='cubic_bezier_3', full_name='CMsgAnimationFrameData.cubic_bezier_3', index=5,
number=6, type=2, cpp_type=6, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=True,
syntax='proto2',
extension_ranges=[(1000, 536870912), ],
oneofs=[
],
serialized_start=4235,
serialized_end=4407,
)
_CMSGPOINTWITHTRANSITION_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgPointWithTransition.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgPointWithTransition.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=4603,
serialized_end=4649,
)
_CMSGPOINTWITHTRANSITION = _descriptor.Descriptor(
name='CMsgPointWithTransition',
full_name='CMsgPointWithTransition',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgPointWithTransition.base', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgPointWithTransition.transition', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgPointWithTransition.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgPointWithTransition.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgPointWithTransition.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgPointWithTransition.animation_frame_data', index=0,
number=1012, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGPOINTWITHTRANSITION_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=4410,
serialized_end=4750,
)
_CMSGCOLOR_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgColor.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgColor.AnimationFrameData.data', index=0,
number=1, type=13, cpp_type=3, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=4908,
serialized_end=4942,
)
_CMSGCOLOR = _descriptor.Descriptor(
name='CMsgColor',
full_name='CMsgColor',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgColor.base', index=0,
number=1, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgColor.transition', index=1,
number=2, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgColor.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgColor.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgColor.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgColor.animation_frame_data', index=0,
number=1001, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGCOLOR_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=4753,
serialized_end=5029,
)
_CMSGCOLORSTOP = _descriptor.Descriptor(
name='CMsgColorStop',
full_name='CMsgColorStop',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='position', full_name='CMsgColorStop.position', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='color_rgba', full_name='CMsgColorStop.color_rgba', index=1,
number=2, type=13, cpp_type=3, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5031,
serialized_end=5084,
)
_CMSGLINEARGRADIENT = _descriptor.Descriptor(
name='CMsgLinearGradient',
full_name='CMsgLinearGradient',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='start_position', full_name='CMsgLinearGradient.start_position', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='end_position', full_name='CMsgLinearGradient.end_position', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='color_stop', full_name='CMsgLinearGradient.color_stop', index=2,
number=3, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5086,
serialized_end=5212,
)
_CMSGRADIALGRADIENT = _descriptor.Descriptor(
name='CMsgRadialGradient',
full_name='CMsgRadialGradient',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='center_position', full_name='CMsgRadialGradient.center_position', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='offset_distance', full_name='CMsgRadialGradient.offset_distance', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='radii', full_name='CMsgRadialGradient.radii', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='color_stop', full_name='CMsgRadialGradient.color_stop', index=3,
number=4, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5215,
serialized_end=5372,
)
_CMSGPARTICLE = _descriptor.Descriptor(
name='CMsgParticle',
full_name='CMsgParticle',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='particle_position', full_name='CMsgParticle.particle_position', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='particle_size', full_name='CMsgParticle.particle_size', index=1,
number=2, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='particle_sharpness', full_name='CMsgParticle.particle_sharpness', index=2,
number=3, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='color_rgba', full_name='CMsgParticle.color_rgba', index=3,
number=4, type=13, cpp_type=3, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5374,
serialized_end=5498,
)
_CMSGPARTICLESYSTEM = _descriptor.Descriptor(
name='CMsgParticleSystem',
full_name='CMsgParticleSystem',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base_position', full_name='CMsgParticleSystem.base_position', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='base_position_variance', full_name='CMsgParticleSystem.base_position_variance', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='particle_size', full_name='CMsgParticleSystem.particle_size', index=2,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='particle_size_variance', full_name='CMsgParticleSystem.particle_size_variance', index=3,
number=4, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='particles_per_second', full_name='CMsgParticleSystem.particles_per_second', index=4,
number=5, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='particles_per_second_variance', full_name='CMsgParticleSystem.particles_per_second_variance', index=5,
number=6, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='particle_lifespan_seconds', full_name='CMsgParticleSystem.particle_lifespan_seconds', index=6,
number=7, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='particle_lifespan_seconds_variance', full_name='CMsgParticleSystem.particle_lifespan_seconds_variance', index=7,
number=8, 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),
_descriptor.FieldDescriptor(
name='particle_initial_velocity', full_name='CMsgParticleSystem.particle_initial_velocity', index=8,
number=9, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='particle_initial_velocity_variance', full_name='CMsgParticleSystem.particle_initial_velocity_variance', index=9,
number=10, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='gravity_acceleration', full_name='CMsgParticleSystem.gravity_acceleration', index=10,
number=11, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='gravity_acceleration_particle_variance', full_name='CMsgParticleSystem.gravity_acceleration_particle_variance', index=11,
number=12, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='color_start_rgba', full_name='CMsgParticleSystem.color_start_rgba', index=12,
number=13, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='color_start_rgba_variance', full_name='CMsgParticleSystem.color_start_rgba_variance', index=13,
number=14, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='color_end_rgba', full_name='CMsgParticleSystem.color_end_rgba', index=14,
number=15, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='color_end_rgba_variance', full_name='CMsgParticleSystem.color_end_rgba_variance', index=15,
number=16, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='parent_panel_handle', full_name='CMsgParticleSystem.parent_panel_handle', index=16,
number=17, type=4, cpp_type=4, 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),
_descriptor.FieldDescriptor(
name='parent_brush_index', full_name='CMsgParticleSystem.parent_brush_index', index=17,
number=18, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='particle_sharpness', full_name='CMsgParticleSystem.particle_sharpness', index=18,
number=19, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='particle_sharpness_variance', full_name='CMsgParticleSystem.particle_sharpness_variance', index=19,
number=20, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='particle_flicker', full_name='CMsgParticleSystem.particle_flicker', index=20,
number=21, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='particle_flicker_variance', full_name='CMsgParticleSystem.particle_flicker_variance', index=21,
number=22, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='particle_velocity_min', full_name='CMsgParticleSystem.particle_velocity_min', index=22,
number=23, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='particle_velocity_max', full_name='CMsgParticleSystem.particle_velocity_max', index=23,
number=24, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='particles', full_name='CMsgParticleSystem.particles', index=24,
number=50, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=5501,
serialized_end=6429,
)
_CMSGFILLBRUSH = _descriptor.Descriptor(
name='CMsgFillBrush',
full_name='CMsgFillBrush',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='opacity', full_name='CMsgFillBrush.opacity', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='color_rgba', full_name='CMsgFillBrush.color_rgba', index=1,
number=2, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='linear_gradient', full_name='CMsgFillBrush.linear_gradient', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='radial_gradient', full_name='CMsgFillBrush.radial_gradient', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='particle_system', full_name='CMsgFillBrush.particle_system', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6432,
serialized_end=6622,
)
_CMSGFILLBRUSHCOLLECTION_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgFillBrushCollection.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgFillBrushCollection.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6826,
serialized_end=6876,
)
_CMSGFILLBRUSHCOLLECTION = _descriptor.Descriptor(
name='CMsgFillBrushCollection',
full_name='CMsgFillBrushCollection',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgFillBrushCollection.base', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgFillBrushCollection.transition', index=1,
number=2, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgFillBrushCollection.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgFillBrushCollection.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgFillBrushCollection.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgFillBrushCollection.animation_frame_data', index=0,
number=1007, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGFILLBRUSHCOLLECTION_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6625,
serialized_end=6977,
)
_CMSGRENDERFILLBRUSHCOLLECTION = _descriptor.Descriptor(
name='CMsgRenderFillBrushCollection',
full_name='CMsgRenderFillBrushCollection',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='fill_brush', full_name='CMsgRenderFillBrushCollection.fill_brush', index=0,
number=1, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=6979,
serialized_end=7046,
)
_CMSGPANELPOSITION_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgPanelPosition.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgPanelPosition.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=4603,
serialized_end=4649,
)
_CMSGPANELPOSITION = _descriptor.Descriptor(
name='CMsgPanelPosition',
full_name='CMsgPanelPosition',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgPanelPosition.base', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgPanelPosition.transition', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgPanelPosition.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgPanelPosition.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgPanelPosition.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='scroll_offset', full_name='CMsgPanelPosition.scroll_offset', index=5,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='scroll_offset_target', full_name='CMsgPanelPosition.scroll_offset_target', index=6,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='scroll_transition_x', full_name='CMsgPanelPosition.scroll_transition_x', index=7,
number=8, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='scroll_transition_y', full_name='CMsgPanelPosition.scroll_transition_y', index=8,
number=9, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgPanelPosition.animation_frame_data', index=0,
number=1011, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGPANELPOSITION_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7049,
serialized_end=7554,
)
_CMSGOPACITY_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgOpacity.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgOpacity.AnimationFrameData.data', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7714,
serialized_end=7748,
)
_CMSGOPACITY = _descriptor.Descriptor(
name='CMsgOpacity',
full_name='CMsgOpacity',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgOpacity.base', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgOpacity.transition', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgOpacity.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgOpacity.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgOpacity.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgOpacity.animation_frame_data', index=0,
number=1004, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGOPACITY_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7557,
serialized_end=7837,
)
_CMSGROTATE2D_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgRotate2D.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgRotate2D.AnimationFrameData.data', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7714,
serialized_end=7748,
)
_CMSGROTATE2D = _descriptor.Descriptor(
name='CMsgRotate2D',
full_name='CMsgRotate2D',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgRotate2D.base', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgRotate2D.transition', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgRotate2D.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgRotate2D.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgRotate2D.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgRotate2D.animation_frame_data', index=0,
number=1014, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGROTATE2D_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7840,
serialized_end=8122,
)
_CMSGOPACITYMASKDATA = _descriptor.Descriptor(
name='CMsgOpacityMaskData',
full_name='CMsgOpacityMaskData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='opacity_mask_texture_id', full_name='CMsgOpacityMaskData.opacity_mask_texture_id', index=0,
number=1, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='opacity_mask_opacity', full_name='CMsgOpacityMaskData.opacity_mask_opacity', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=8124,
serialized_end=8208,
)
_CMSGOPACITYMASK_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgOpacityMask.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgOpacityMask.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=8416,
serialized_end=8472,
)
_CMSGOPACITYMASK = _descriptor.Descriptor(
name='CMsgOpacityMask',
full_name='CMsgOpacityMask',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgOpacityMask.base', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgOpacityMask.transition', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgOpacityMask.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgOpacityMask.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgOpacityMask.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgOpacityMask.animation_frame_data', index=0,
number=1013, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGOPACITYMASK_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=8211,
serialized_end=8565,
)
_CMSGHUESHIFT_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgHueShift.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgHueShift.AnimationFrameData.data', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7714,
serialized_end=7748,
)
_CMSGHUESHIFT = _descriptor.Descriptor(
name='CMsgHueShift',
full_name='CMsgHueShift',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgHueShift.base', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgHueShift.transition', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgHueShift.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgHueShift.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgHueShift.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgHueShift.animation_frame_data', index=0,
number=1019, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGHUESHIFT_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=8568,
serialized_end=8850,
)
_CMSGSATURATION_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgSaturation.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgSaturation.AnimationFrameData.data', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7714,
serialized_end=7748,
)
_CMSGSATURATION = _descriptor.Descriptor(
name='CMsgSaturation',
full_name='CMsgSaturation',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgSaturation.base', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgSaturation.transition', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgSaturation.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgSaturation.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgSaturation.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgSaturation.animation_frame_data', index=0,
number=1005, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGSATURATION_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=8853,
serialized_end=9139,
)
_CMSGBRIGHTNESS_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgBrightness.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgBrightness.AnimationFrameData.data', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7714,
serialized_end=7748,
)
_CMSGBRIGHTNESS = _descriptor.Descriptor(
name='CMsgBrightness',
full_name='CMsgBrightness',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgBrightness.base', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgBrightness.transition', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgBrightness.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgBrightness.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgBrightness.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgBrightness.animation_frame_data', index=0,
number=1020, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGBRIGHTNESS_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9142,
serialized_end=9428,
)
_CMSGCONTRAST_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgContrast.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgContrast.AnimationFrameData.data', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7714,
serialized_end=7748,
)
_CMSGCONTRAST = _descriptor.Descriptor(
name='CMsgContrast',
full_name='CMsgContrast',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgContrast.base', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgContrast.transition', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgContrast.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgContrast.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgContrast.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgContrast.animation_frame_data', index=0,
number=1021, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGCONTRAST_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9431,
serialized_end=9713,
)
_CMSGGAUSSIANVALUES = _descriptor.Descriptor(
name='CMsgGaussianValues',
full_name='CMsgGaussianValues',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='passes', full_name='CMsgGaussianValues.passes', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='stddev_hor', full_name='CMsgGaussianValues.stddev_hor', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='stddev_ver', full_name='CMsgGaussianValues.stddev_ver', index=2,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9715,
serialized_end=9791,
)
_CMSGGAUSSIANBLUR_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgGaussianBlur.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgGaussianBlur.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9998,
serialized_end=10053,
)
_CMSGGAUSSIANBLUR = _descriptor.Descriptor(
name='CMsgGaussianBlur',
full_name='CMsgGaussianBlur',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgGaussianBlur.base', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgGaussianBlur.transition', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgGaussianBlur.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgGaussianBlur.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgGaussianBlur.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgGaussianBlur.animation_frame_data', index=0,
number=1008, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGGAUSSIANBLUR_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=9794,
serialized_end=10147,
)
_CMSGMOTIONBLURVALUES = _descriptor.Descriptor(
name='CMsgMotionBlurValues',
full_name='CMsgMotionBlurValues',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='velocity', full_name='CMsgMotionBlurValues.velocity', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='dirx', full_name='CMsgMotionBlurValues.dirx', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='diry', full_name='CMsgMotionBlurValues.diry', index=2,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=10149,
serialized_end=10217,
)
_CMSGMOTIONBLUR_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgMotionBlur.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgMotionBlur.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=10426,
serialized_end=10483,
)
_CMSGMOTIONBLUR = _descriptor.Descriptor(
name='CMsgMotionBlur',
full_name='CMsgMotionBlur',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgMotionBlur.base', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgMotionBlur.transition', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgMotionBlur.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgMotionBlur.animations', index=3,
number=4, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgMotionBlur.style_symbol', index=4,
number=5, type=13, cpp_type=3, 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),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgMotionBlur.animation_frame_data', index=0,
number=1022, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGMOTIONBLUR_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=10220,
serialized_end=10575,
)
_CMSG3DTRANSFORMPERSPECTIVE_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsg3DTransformPerspective.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsg3DTransformPerspective.AnimationFrameData.data', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=7714,
serialized_end=7748,
)
_CMSG3DTRANSFORMPERSPECTIVE = _descriptor.Descriptor(
name='CMsg3DTransformPerspective',
full_name='CMsg3DTransformPerspective',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsg3DTransformPerspective.base', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsg3DTransformPerspective.transition', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsg3DTransformPerspective.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsg3DTransformPerspective.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsg3DTransformPerspective.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsg3DTransformPerspective.animation_frame_data', index=0,
number=1003, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSG3DTRANSFORMPERSPECTIVE_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=10578,
serialized_end=10888,
)
_CMSG3DTRANSFORMPERSPECTIVEORIGIN_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsg3DTransformPerspectiveOrigin.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsg3DTransformPerspectiveOrigin.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=4603,
serialized_end=4649,
)
_CMSG3DTRANSFORMPERSPECTIVEORIGIN = _descriptor.Descriptor(
name='CMsg3DTransformPerspectiveOrigin',
full_name='CMsg3DTransformPerspectiveOrigin',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsg3DTransformPerspectiveOrigin.base', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsg3DTransformPerspectiveOrigin.transition', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsg3DTransformPerspectiveOrigin.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsg3DTransformPerspectiveOrigin.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsg3DTransformPerspectiveOrigin.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsg3DTransformPerspectiveOrigin.animation_frame_data', index=0,
number=1002, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSG3DTRANSFORMPERSPECTIVEORIGIN_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=10891,
serialized_end=11249,
)
_CMSGTRANSFORMORIGINDATA = _descriptor.Descriptor(
name='CMsgTransformOriginData',
full_name='CMsgTransformOriginData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='x', full_name='CMsgTransformOriginData.x', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='y', full_name='CMsgTransformOriginData.y', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='x_is_percent', full_name='CMsgTransformOriginData.x_is_percent', index=2,
number=3, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='y_is_percent', full_name='CMsgTransformOriginData.y_is_percent', index=3,
number=4, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='is_parent_relative', full_name='CMsgTransformOriginData.is_parent_relative', index=4,
number=5, 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=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=11251,
serialized_end=11370,
)
_CMSG3DTRANSFORMORIGIN_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsg3DTransformOrigin.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsg3DTransformOrigin.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=11592,
serialized_end=11652,
)
_CMSG3DTRANSFORMORIGIN = _descriptor.Descriptor(
name='CMsg3DTransformOrigin',
full_name='CMsg3DTransformOrigin',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsg3DTransformOrigin.base', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsg3DTransformOrigin.transition', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsg3DTransformOrigin.transition_data', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsg3DTransformOrigin.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsg3DTransformOrigin.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsg3DTransformOrigin.animation_frame_data', index=0,
number=1015, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSG3DTRANSFORMORIGIN_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=11373,
serialized_end=11751,
)
_CMSG3DTRANSFORMMATRIX_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsg3DTransformMatrix.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsg3DTransformMatrix.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=11953,
serialized_end=12003,
)
_CMSG3DTRANSFORMMATRIX = _descriptor.Descriptor(
name='CMsg3DTransformMatrix',
full_name='CMsg3DTransformMatrix',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsg3DTransformMatrix.base', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsg3DTransformMatrix.transition_data', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsg3DTransformMatrix.transition', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsg3DTransformMatrix.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsg3DTransformMatrix.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsg3DTransformMatrix.animation_frame_data', index=0,
number=1000, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSG3DTRANSFORMMATRIX_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=11754,
serialized_end=12102,
)
_CMSGBORDERRADIUS_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgBorderRadius.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgBorderRadius.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=12295,
serialized_end=12343,
)
_CMSGBORDERRADIUS = _descriptor.Descriptor(
name='CMsgBorderRadius',
full_name='CMsgBorderRadius',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgBorderRadius.base', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgBorderRadius.transition_data', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgBorderRadius.transition', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgBorderRadius.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgBorderRadius.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgBorderRadius.animation_frame_data', index=0,
number=1006, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGBORDERRADIUS_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=12105,
serialized_end=12437,
)
_CMSGBORDER_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgBorder.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgBorder.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=12624,
serialized_end=12672,
)
_CMSGBORDER = _descriptor.Descriptor(
name='CMsgBorder',
full_name='CMsgBorder',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgBorder.base', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgBorder.transition_data', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgBorder.transition', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgBorder.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgBorder.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgBorder.animation_frame_data', index=0,
number=1009, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGBORDER_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=12440,
serialized_end=12760,
)
_CMSGBOXSHADOW_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgBoxShadow.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgBoxShadow.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=12956,
serialized_end=13007,
)
_CMSGBOXSHADOW = _descriptor.Descriptor(
name='CMsgBoxShadow',
full_name='CMsgBoxShadow',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgBoxShadow.base', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgBoxShadow.transition_data', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgBoxShadow.transition', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgBoxShadow.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgBoxShadow.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgBoxShadow.animation_frame_data', index=0,
number=1010, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGBOXSHADOW_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=12763,
serialized_end=13098,
)
_CMSGTEXTSHADOW_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgTextShadow.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgTextShadow.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=13297,
serialized_end=13349,
)
_CMSGTEXTSHADOW = _descriptor.Descriptor(
name='CMsgTextShadow',
full_name='CMsgTextShadow',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgTextShadow.base', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgTextShadow.transition_data', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgTextShadow.transition', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgTextShadow.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgTextShadow.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgTextShadow.animation_frame_data', index=0,
number=1017, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGTEXTSHADOW_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=13101,
serialized_end=13441,
)
_CMSGCLIP_ANIMATIONFRAMEDATA = _descriptor.Descriptor(
name='AnimationFrameData',
full_name='CMsgClip.AnimationFrameData',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='data', full_name='CMsgClip.AnimationFrameData.data', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=13628,
serialized_end=13677,
)
_CMSGCLIP = _descriptor.Descriptor(
name='CMsgClip',
full_name='CMsgClip',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='base', full_name='CMsgClip.base', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition_data', full_name='CMsgClip.transition_data', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transition', full_name='CMsgClip.transition', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='style_symbol', full_name='CMsgClip.style_symbol', index=3,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='animations', full_name='CMsgClip.animations', index=4,
number=5, type=11, cpp_type=10, label=3,
has_default_value=False, default_value=[],
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
_descriptor.FieldDescriptor(
name='animation_frame_data', full_name='CMsgClip.animation_frame_data', index=0,
number=1018, 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=True, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
nested_types=[_CMSGCLIP_ANIMATIONFRAMEDATA, ],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=13444,
serialized_end=13763,
)
_CMSGPUSHCLIPLAYER = _descriptor.Descriptor(
name='CMsgPushClipLayer',
full_name='CMsgPushClipLayer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='top_left', full_name='CMsgPushClipLayer.top_left', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bottom_right', full_name='CMsgPushClipLayer.bottom_right', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='border_radius', full_name='CMsgPushClipLayer.border_radius', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=13765,
serialized_end=13885,
)
_CMSGPOPCLIPLAYER = _descriptor.Descriptor(
name='CMsgPopClipLayer',
full_name='CMsgPopClipLayer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=13887,
serialized_end=13905,
)
_CMSGPUSHPANELCONTEXTINLAYER = _descriptor.Descriptor(
name='CMsgPushPanelContextInLayer',
full_name='CMsgPushPanelContextInLayer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='transform_m00', full_name='CMsgPushPanelContextInLayer.transform_m00', index=0,
number=1, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m01', full_name='CMsgPushPanelContextInLayer.transform_m01', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m02', full_name='CMsgPushPanelContextInLayer.transform_m02', index=2,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m03', full_name='CMsgPushPanelContextInLayer.transform_m03', index=3,
number=4, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m10', full_name='CMsgPushPanelContextInLayer.transform_m10', index=4,
number=5, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m11', full_name='CMsgPushPanelContextInLayer.transform_m11', index=5,
number=6, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m12', full_name='CMsgPushPanelContextInLayer.transform_m12', index=6,
number=7, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m13', full_name='CMsgPushPanelContextInLayer.transform_m13', index=7,
number=8, 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),
_descriptor.FieldDescriptor(
name='transform_m20', full_name='CMsgPushPanelContextInLayer.transform_m20', index=8,
number=9, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m21', full_name='CMsgPushPanelContextInLayer.transform_m21', index=9,
number=10, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m22', full_name='CMsgPushPanelContextInLayer.transform_m22', index=10,
number=11, 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),
_descriptor.FieldDescriptor(
name='transform_m23', full_name='CMsgPushPanelContextInLayer.transform_m23', index=11,
number=12, 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),
_descriptor.FieldDescriptor(
name='transform_m30', full_name='CMsgPushPanelContextInLayer.transform_m30', index=12,
number=13, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m31', full_name='CMsgPushPanelContextInLayer.transform_m31', index=13,
number=14, 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),
_descriptor.FieldDescriptor(
name='transform_m32', full_name='CMsgPushPanelContextInLayer.transform_m32', index=14,
number=15, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_m33', full_name='CMsgPushPanelContextInLayer.transform_m33', index=15,
number=16, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='box_shadow', full_name='CMsgPushPanelContextInLayer.box_shadow', index=16,
number=17, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='width', full_name='CMsgPushPanelContextInLayer.width', index=17,
number=18, 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),
_descriptor.FieldDescriptor(
name='height', full_name='CMsgPushPanelContextInLayer.height', index=18,
number=19, 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),
_descriptor.FieldDescriptor(
name='position_x', full_name='CMsgPushPanelContextInLayer.position_x', index=19,
number=20, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='position_y', full_name='CMsgPushPanelContextInLayer.position_y', index=20,
number=21, 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),
_descriptor.FieldDescriptor(
name='position_z', full_name='CMsgPushPanelContextInLayer.position_z', index=21,
number=22, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='border', full_name='CMsgPushPanelContextInLayer.border', index=22,
number=23, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='scroll_x', full_name='CMsgPushPanelContextInLayer.scroll_x', index=23,
number=24, 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),
_descriptor.FieldDescriptor(
name='scroll_y', full_name='CMsgPushPanelContextInLayer.scroll_y', index=24,
number=25, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=13908,
serialized_end=14499,
)
_CMSGPOPPANELCONTEXTINLAYER = _descriptor.Descriptor(
name='CMsgPopPanelContextInLayer',
full_name='CMsgPopPanelContextInLayer',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=14501,
serialized_end=14529,
)
_CMSGPUSHAANDTCONTEXT = _descriptor.Descriptor(
name='CMsgPushAAndTContext',
full_name='CMsgPushAAndTContext',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='context_id', full_name='CMsgPushAAndTContext.context_id', index=0,
number=1, type=4, cpp_type=4, 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),
_descriptor.FieldDescriptor(
name='width', full_name='CMsgPushAAndTContext.width', index=1,
number=3, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='height', full_name='CMsgPushAAndTContext.height', index=2,
number=4, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='chilren_have_3dtransforms', full_name='CMsgPushAAndTContext.chilren_have_3dtransforms', index=3,
number=5, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='zindex', full_name='CMsgPushAAndTContext.zindex', index=4,
number=6, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='panel_position', full_name='CMsgPushAAndTContext.panel_position', index=5,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_matrix', full_name='CMsgPushAAndTContext.transform_matrix', index=6,
number=8, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_origin', full_name='CMsgPushAAndTContext.transform_origin', index=7,
number=9, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_perspective', full_name='CMsgPushAAndTContext.transform_perspective', index=8,
number=10, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='transform_perspective_origin', full_name='CMsgPushAAndTContext.transform_perspective_origin', index=9,
number=11, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='opacity', full_name='CMsgPushAAndTContext.opacity', index=10,
number=12, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='wash_color', full_name='CMsgPushAAndTContext.wash_color', index=11,
number=13, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='hue_shift', full_name='CMsgPushAAndTContext.hue_shift', index=12,
number=14, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='saturation', full_name='CMsgPushAAndTContext.saturation', index=13,
number=15, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='brightness', full_name='CMsgPushAAndTContext.brightness', index=14,
number=16, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='contrast', full_name='CMsgPushAAndTContext.contrast', index=15,
number=17, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='opacity_mask', full_name='CMsgPushAAndTContext.opacity_mask', index=16,
number=18, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='border_radius', full_name='CMsgPushAAndTContext.border_radius', index=17,
number=19, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='gaussian_blur', full_name='CMsgPushAAndTContext.gaussian_blur', index=18,
number=20, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='border', full_name='CMsgPushAAndTContext.border', index=19,
number=21, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='box_shadow', full_name='CMsgPushAAndTContext.box_shadow', index=20,
number=22, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='scale_2d_centered', full_name='CMsgPushAAndTContext.scale_2d_centered', index=21,
number=23, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='rotate_2d_centered', full_name='CMsgPushAAndTContext.rotate_2d_centered', index=22,
number=24, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='text_shadow', full_name='CMsgPushAAndTContext.text_shadow', index=23,
number=25, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='clip', full_name='CMsgPushAAndTContext.clip', index=24,
number=26, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='suppress_clip_to_bounds', full_name='CMsgPushAAndTContext.suppress_clip_to_bounds', index=25,
number=27, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='needs_full_repaint', full_name='CMsgPushAAndTContext.needs_full_repaint', index=26,
number=28, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='needs_intermediate_texture', full_name='CMsgPushAAndTContext.needs_intermediate_texture', index=27,
number=29, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='clip_after_transform', full_name='CMsgPushAAndTContext.clip_after_transform', index=28,
number=30, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='wants_hit_test', full_name='CMsgPushAAndTContext.wants_hit_test', index=29,
number=31, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='wants_hit_test_children', full_name='CMsgPushAAndTContext.wants_hit_test_children', index=30,
number=32, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='mix_blend_mode', full_name='CMsgPushAAndTContext.mix_blend_mode', index=31,
number=33, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='opaque_background', full_name='CMsgPushAAndTContext.opaque_background', index=32,
number=34, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='child_panel_count', full_name='CMsgPushAAndTContext.child_panel_count', index=33,
number=35, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='wants_screenspace_quad_output', full_name='CMsgPushAAndTContext.wants_screenspace_quad_output', index=34,
number=36, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='motion_blur', full_name='CMsgPushAAndTContext.motion_blur', 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='composition_layer_texture_name', full_name='CMsgPushAAndTContext.composition_layer_texture_name', index=36,
number=38, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=14532,
serialized_end=15864,
)
_CMSGPOPAANDTCONTEXT = _descriptor.Descriptor(
name='CMsgPopAAndTContext',
full_name='CMsgPopAAndTContext',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='context_id', full_name='CMsgPopAAndTContext.context_id', index=0,
number=1, type=4, cpp_type=4, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=15866,
serialized_end=15907,
)
_CMSGBEGINPAINTBACKGROUND = _descriptor.Descriptor(
name='CMsgBeginPaintBackground',
full_name='CMsgBeginPaintBackground',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=15909,
serialized_end=15935,
)
_CMSGENDPAINTBACKGROUND = _descriptor.Descriptor(
name='CMsgEndPaintBackground',
full_name='CMsgEndPaintBackground',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=15937,
serialized_end=15961,
)
_CMSGBEGINPAINTLAST = _descriptor.Descriptor(
name='CMsgBeginPaintLast',
full_name='CMsgBeginPaintLast',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=15963,
serialized_end=15983,
)
_CMSGENDPAINTLAST = _descriptor.Descriptor(
name='CMsgEndPaintLast',
full_name='CMsgEndPaintLast',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=15985,
serialized_end=16003,
)
_CMSGDRAWFILLEDRECT = _descriptor.Descriptor(
name='CMsgDrawFilledRect',
full_name='CMsgDrawFilledRect',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='top_left', full_name='CMsgDrawFilledRect.top_left', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bottom_right', full_name='CMsgDrawFilledRect.bottom_right', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='fill_brush_collection', full_name='CMsgDrawFilledRect.fill_brush_collection', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='antialiasing', full_name='CMsgDrawFilledRect.antialiasing', index=3,
number=4, type=13, cpp_type=3, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=16006,
serialized_end=16169,
)
_CMSGRENDERFILLEDRECT = _descriptor.Descriptor(
name='CMsgRenderFilledRect',
full_name='CMsgRenderFilledRect',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='top_left', full_name='CMsgRenderFilledRect.top_left', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bottom_right', full_name='CMsgRenderFilledRect.bottom_right', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='fill_brush_collection', full_name='CMsgRenderFilledRect.fill_brush_collection', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='antialiasing', full_name='CMsgRenderFilledRect.antialiasing', index=3,
number=4, type=13, cpp_type=3, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=16172,
serialized_end=16343,
)
_CMSGDRAWTEXTUREDRECT = _descriptor.Descriptor(
name='CMsgDrawTexturedRect',
full_name='CMsgDrawTexturedRect',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='top_left', full_name='CMsgDrawTexturedRect.top_left', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bottom_right', full_name='CMsgDrawTexturedRect.bottom_right', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='texture_id', full_name='CMsgDrawTexturedRect.texture_id', index=2,
number=3, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='texture_top_left', full_name='CMsgDrawTexturedRect.texture_top_left', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='texture_bottom_right', full_name='CMsgDrawTexturedRect.texture_bottom_right', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='texture_serial', full_name='CMsgDrawTexturedRect.texture_serial', index=5,
number=6, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='texture_sample_mode', full_name='CMsgDrawTexturedRect.texture_sample_mode', index=6,
number=7, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='texture_opacity', full_name='CMsgDrawTexturedRect.texture_opacity', index=7,
number=8, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=16346,
serialized_end=16630,
)
_CMSGRENDERTEXTUREDRECT = _descriptor.Descriptor(
name='CMsgRenderTexturedRect',
full_name='CMsgRenderTexturedRect',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='top_left', full_name='CMsgRenderTexturedRect.top_left', index=0,
number=1, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bottom_right', full_name='CMsgRenderTexturedRect.bottom_right', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='texture_id', full_name='CMsgRenderTexturedRect.texture_id', index=2,
number=3, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='texture_top_left', full_name='CMsgRenderTexturedRect.texture_top_left', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='texture_bottom_right', full_name='CMsgRenderTexturedRect.texture_bottom_right', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='texture_serial', full_name='CMsgRenderTexturedRect.texture_serial', index=5,
number=6, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='texture_sample_mode', full_name='CMsgRenderTexturedRect.texture_sample_mode', index=6,
number=7, type=13, cpp_type=3, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='texture_opacity', full_name='CMsgRenderTexturedRect.texture_opacity', index=7,
number=8, type=2, cpp_type=6, label=1,
has_default_value=True, default_value=float(1),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=16633,
serialized_end=16908,
)
_CMSGLOCKTEXTURE = _descriptor.Descriptor(
name='CMsgLockTexture',
full_name='CMsgLockTexture',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='texture_id', full_name='CMsgLockTexture.texture_id', index=0,
number=1, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='texture_serial', full_name='CMsgLockTexture.texture_serial', index=1,
number=2, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=16910,
serialized_end=16974,
)
_CMSGTEXTINLINEOBJECT = _descriptor.Descriptor(
name='CMsgTextInlineObject',
full_name='CMsgTextInlineObject',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='width', full_name='CMsgTextInlineObject.width', index=0,
number=1, type=2, cpp_type=6, 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),
_descriptor.FieldDescriptor(
name='height', full_name='CMsgTextInlineObject.height', index=1,
number=2, type=2, cpp_type=6, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=16976,
serialized_end=17029,
)
_CMSGTEXTFORMAT = _descriptor.Descriptor(
name='CMsgTextFormat',
full_name='CMsgTextFormat',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='font_name', full_name='CMsgTextFormat.font_name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='font_size', full_name='CMsgTextFormat.font_size', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='font_weight', full_name='CMsgTextFormat.font_weight', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=-1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='font_style', full_name='CMsgTextFormat.font_style', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=-1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='underline', full_name='CMsgTextFormat.underline', index=4,
number=5, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='strikethrough', full_name='CMsgTextFormat.strikethrough', index=5,
number=6, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='fill_brush_collection', full_name='CMsgTextFormat.fill_brush_collection', index=6,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='letter_spacing', full_name='CMsgTextFormat.letter_spacing', index=7,
number=8, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='inline_object', full_name='CMsgTextFormat.inline_object', index=8,
number=9, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=17032,
serialized_end=17307,
)
_CMSGTEXTRANGEFORMAT = _descriptor.Descriptor(
name='CMsgTextRangeFormat',
full_name='CMsgTextRangeFormat',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='start_index', full_name='CMsgTextRangeFormat.start_index', index=0,
number=1, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='end_index', full_name='CMsgTextRangeFormat.end_index', index=1,
number=2, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='format', full_name='CMsgTextRangeFormat.format', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=17309,
serialized_end=17403,
)
_CMSGRENDERTEXTFORMAT = _descriptor.Descriptor(
name='CMsgRenderTextFormat',
full_name='CMsgRenderTextFormat',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='font_name', full_name='CMsgRenderTextFormat.font_name', index=0,
number=1, type=9, cpp_type=9, label=1,
has_default_value=False, default_value=_b("").decode('utf-8'),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='font_size', full_name='CMsgRenderTextFormat.font_size', index=1,
number=2, type=1, cpp_type=5, label=1,
has_default_value=False, default_value=float(0),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='font_weight', full_name='CMsgRenderTextFormat.font_weight', index=2,
number=3, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=-1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='font_style', full_name='CMsgRenderTextFormat.font_style', index=3,
number=4, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=-1,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='underline', full_name='CMsgRenderTextFormat.underline', index=4,
number=5, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='strikethrough', full_name='CMsgRenderTextFormat.strikethrough', index=5,
number=6, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='fill_brush_collection', full_name='CMsgRenderTextFormat.fill_brush_collection', index=6,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='letter_spacing', full_name='CMsgRenderTextFormat.letter_spacing', index=7,
number=8, type=5, cpp_type=1, label=1,
has_default_value=True, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='inline_object', full_name='CMsgRenderTextFormat.inline_object', index=8,
number=9, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=17406,
serialized_end=17693,
)
_CMSGRENDERTEXTRANGEFORMAT = _descriptor.Descriptor(
name='CMsgRenderTextRangeFormat',
full_name='CMsgRenderTextRangeFormat',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='start_index', full_name='CMsgRenderTextRangeFormat.start_index', index=0,
number=1, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='end_index', full_name='CMsgRenderTextRangeFormat.end_index', index=1,
number=2, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='format', full_name='CMsgRenderTextRangeFormat.format', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=17695,
serialized_end=17801,
)
_CMSGDRAWTEXTREGION = _descriptor.Descriptor(
name='CMsgDrawTextRegion',
full_name='CMsgDrawTextRegion',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='raw_text', full_name='CMsgDrawTextRegion.raw_text', index=0,
number=11, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='text_chars', full_name='CMsgDrawTextRegion.text_chars', index=1,
number=12, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='text_encoding', full_name='CMsgDrawTextRegion.text_encoding', index=2,
number=13, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_format', full_name='CMsgDrawTextRegion.default_format', index=3,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='text_align', full_name='CMsgDrawTextRegion.text_align', index=4,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='line_height', full_name='CMsgDrawTextRegion.line_height', index=5,
number=5, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='top_left', full_name='CMsgDrawTextRegion.top_left', index=6,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bottom_right', full_name='CMsgDrawTextRegion.bottom_right', index=7,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='wrapping', full_name='CMsgDrawTextRegion.wrapping', index=8,
number=8, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='ellipsis', full_name='CMsgDrawTextRegion.ellipsis', index=9,
number=9, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='range_formats', full_name='CMsgDrawTextRegion.range_formats', index=10,
number=10, 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),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=17804,
serialized_end=18112,
)
_CMSGRENDERTEXTREGION = _descriptor.Descriptor(
name='CMsgRenderTextRegion',
full_name='CMsgRenderTextRegion',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='raw_text', full_name='CMsgRenderTextRegion.raw_text', index=0,
number=12, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='text_chars', full_name='CMsgRenderTextRegion.text_chars', index=1,
number=13, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='text_encoding', full_name='CMsgRenderTextRegion.text_encoding', index=2,
number=14, type=5, cpp_type=1, label=1,
has_default_value=False, default_value=0,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='default_format', full_name='CMsgRenderTextRegion.default_format', index=3,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='text_align', full_name='CMsgRenderTextRegion.text_align', index=4,
number=4, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='line_height', full_name='CMsgRenderTextRegion.line_height', index=5,
number=5, type=13, cpp_type=3, 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),
_descriptor.FieldDescriptor(
name='top_left', full_name='CMsgRenderTextRegion.top_left', index=6,
number=6, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bottom_right', full_name='CMsgRenderTextRegion.bottom_right', index=7,
number=7, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='wrapping', full_name='CMsgRenderTextRegion.wrapping', index=8,
number=8, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='ellipsis', full_name='CMsgRenderTextRegion.ellipsis', index=9,
number=9, 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=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='range_formats', full_name='CMsgRenderTextRegion.range_formats', index=10,
number=10, 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),
_descriptor.FieldDescriptor(
name='text_shadow', full_name='CMsgRenderTextRegion.text_shadow', index=11,
number=11, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=18115,
serialized_end=18476,
)
_CMSGREQUESTRENDERCALLBACK = _descriptor.Descriptor(
name='CMsgRequestRenderCallback',
full_name='CMsgRequestRenderCallback',
filename=None,
file=DESCRIPTOR,
containing_type=None,
fields=[
_descriptor.FieldDescriptor(
name='callback_obj', full_name='CMsgRequestRenderCallback.callback_obj', index=0,
number=1, type=12, cpp_type=9, label=1,
has_default_value=False, default_value=_b(""),
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='top_left', full_name='CMsgRequestRenderCallback.top_left', index=1,
number=2, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bottom_right', full_name='CMsgRequestRenderCallback.bottom_right', index=2,
number=3, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='top_left_padding', full_name='CMsgRequestRenderCallback.top_left_padding', index=3,
number=4, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='bottom_right_padding', full_name='CMsgRequestRenderCallback.bottom_right_padding', index=4,
number=5, type=11, cpp_type=10, label=1,
has_default_value=False, default_value=None,
message_type=None, enum_type=None, containing_type=None,
is_extension=False, extension_scope=None,
serialized_options=None, file=DESCRIPTOR),
_descriptor.FieldDescriptor(
name='needs_redraw_every_frame', full_name='CMsgRequestRenderCallback.needs_redraw_every_frame', index=5,
number=6, 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=None, file=DESCRIPTOR),
],
extensions=[
],
nested_types=[],
enum_types=[
],
serialized_options=None,
is_extendable=False,
syntax='proto2',
extension_ranges=[],
oneofs=[
],
serialized_start=18479,
serialized_end=18706,
)
_CRADIUSDATA_CCORNERRADIUS.containing_type = _CRADIUSDATA
_CRADIUSDATA.fields_by_name['top_left'].message_type = _CRADIUSDATA_CCORNERRADIUS
_CRADIUSDATA.fields_by_name['top_right'].message_type = _CRADIUSDATA_CCORNERRADIUS
_CRADIUSDATA.fields_by_name['bottom_right'].message_type = _CRADIUSDATA_CCORNERRADIUS
_CRADIUSDATA.fields_by_name['bottom_left'].message_type = _CRADIUSDATA_CCORNERRADIUS
_CBORDERDATA_CBORDERSIDE.containing_type = _CBORDERDATA
_CBORDERDATA.fields_by_name['top'].message_type = _CBORDERDATA_CBORDERSIDE
_CBORDERDATA.fields_by_name['right'].message_type = _CBORDERDATA_CBORDERSIDE
_CBORDERDATA.fields_by_name['bottom'].message_type = _CBORDERDATA_CBORDERSIDE
_CBORDERDATA.fields_by_name['left'].message_type = _CBORDERDATA_CBORDERSIDE
_CMSGCLIPDATA.fields_by_name['radial_clip'].message_type = _CRADIALCLIPDATA
_CMSGPUSHCOMPOSITINGLAYER.fields_by_name['border'].message_type = _CBORDERDATA
_CMSGPUSHCOMPOSITINGLAYER.fields_by_name['border_radius'].message_type = _CRADIUSDATA
_CMSGPUSHCOMPOSITINGLAYER.fields_by_name['box_shadow'].message_type = _CBOXSHADOWDATA
_CMSGPUSHCOMPOSITINGLAYER.fields_by_name['text_shadow'].message_type = _CTEXTSHADOWDATA
_CMSGPUSHCOMPOSITINGLAYER.fields_by_name['radial_clip'].message_type = _CRADIALCLIPDATA
_CMSGANIMATIONDATA.fields_by_name['frames'].message_type = _CMSGANIMATIONFRAMEDATA
_CMSGPOINTWITHTRANSITION_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CMSGPOINT
_CMSGPOINTWITHTRANSITION_ANIMATIONFRAMEDATA.containing_type = _CMSGPOINTWITHTRANSITION
_CMSGPOINTWITHTRANSITION.fields_by_name['base'].message_type = _CMSGPOINT
_CMSGPOINTWITHTRANSITION.fields_by_name['transition'].message_type = _CMSGPOINT
_CMSGPOINTWITHTRANSITION.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGPOINTWITHTRANSITION.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGCOLOR_ANIMATIONFRAMEDATA.containing_type = _CMSGCOLOR
_CMSGCOLOR.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGCOLOR.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGLINEARGRADIENT.fields_by_name['start_position'].message_type = _CMSGPOINT
_CMSGLINEARGRADIENT.fields_by_name['end_position'].message_type = _CMSGPOINT
_CMSGLINEARGRADIENT.fields_by_name['color_stop'].message_type = _CMSGCOLORSTOP
_CMSGRADIALGRADIENT.fields_by_name['center_position'].message_type = _CMSGPOINT
_CMSGRADIALGRADIENT.fields_by_name['offset_distance'].message_type = _CMSGPOINT
_CMSGRADIALGRADIENT.fields_by_name['radii'].message_type = _CMSGPOINT
_CMSGRADIALGRADIENT.fields_by_name['color_stop'].message_type = _CMSGCOLORSTOP
_CMSGPARTICLE.fields_by_name['particle_position'].message_type = _CMSGPOINT
_CMSGPARTICLESYSTEM.fields_by_name['base_position'].message_type = _CMSGPOINT
_CMSGPARTICLESYSTEM.fields_by_name['base_position_variance'].message_type = _CMSGPOINT
_CMSGPARTICLESYSTEM.fields_by_name['particle_initial_velocity'].message_type = _CMSGPOINT
_CMSGPARTICLESYSTEM.fields_by_name['particle_initial_velocity_variance'].message_type = _CMSGPOINT
_CMSGPARTICLESYSTEM.fields_by_name['gravity_acceleration'].message_type = _CMSGPOINT
_CMSGPARTICLESYSTEM.fields_by_name['gravity_acceleration_particle_variance'].message_type = _CMSGPOINT
_CMSGPARTICLESYSTEM.fields_by_name['particle_velocity_min'].message_type = _CMSGPOINT
_CMSGPARTICLESYSTEM.fields_by_name['particle_velocity_max'].message_type = _CMSGPOINT
_CMSGPARTICLESYSTEM.fields_by_name['particles'].message_type = _CMSGPARTICLE
_CMSGFILLBRUSH.fields_by_name['linear_gradient'].message_type = _CMSGLINEARGRADIENT
_CMSGFILLBRUSH.fields_by_name['radial_gradient'].message_type = _CMSGRADIALGRADIENT
_CMSGFILLBRUSH.fields_by_name['particle_system'].message_type = _CMSGPARTICLESYSTEM
_CMSGFILLBRUSHCOLLECTION_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CMSGFILLBRUSH
_CMSGFILLBRUSHCOLLECTION_ANIMATIONFRAMEDATA.containing_type = _CMSGFILLBRUSHCOLLECTION
_CMSGFILLBRUSHCOLLECTION.fields_by_name['base'].message_type = _CMSGFILLBRUSH
_CMSGFILLBRUSHCOLLECTION.fields_by_name['transition'].message_type = _CMSGFILLBRUSH
_CMSGFILLBRUSHCOLLECTION.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGFILLBRUSHCOLLECTION.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGRENDERFILLBRUSHCOLLECTION.fields_by_name['fill_brush'].message_type = _CMSGFILLBRUSH
_CMSGPANELPOSITION_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CMSGPOINT
_CMSGPANELPOSITION_ANIMATIONFRAMEDATA.containing_type = _CMSGPANELPOSITION
_CMSGPANELPOSITION.fields_by_name['base'].message_type = _CMSGPOINT
_CMSGPANELPOSITION.fields_by_name['transition'].message_type = _CMSGPOINT
_CMSGPANELPOSITION.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGPANELPOSITION.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGPANELPOSITION.fields_by_name['scroll_offset'].message_type = _CMSGPOINT
_CMSGPANELPOSITION.fields_by_name['scroll_offset_target'].message_type = _CMSGPOINT
_CMSGPANELPOSITION.fields_by_name['scroll_transition_x'].message_type = _CMSGTRANSITIONDATA
_CMSGPANELPOSITION.fields_by_name['scroll_transition_y'].message_type = _CMSGTRANSITIONDATA
_CMSGOPACITY_ANIMATIONFRAMEDATA.containing_type = _CMSGOPACITY
_CMSGOPACITY.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGOPACITY.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGROTATE2D_ANIMATIONFRAMEDATA.containing_type = _CMSGROTATE2D
_CMSGROTATE2D.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGROTATE2D.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGOPACITYMASK_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CMSGOPACITYMASKDATA
_CMSGOPACITYMASK_ANIMATIONFRAMEDATA.containing_type = _CMSGOPACITYMASK
_CMSGOPACITYMASK.fields_by_name['base'].message_type = _CMSGOPACITYMASKDATA
_CMSGOPACITYMASK.fields_by_name['transition'].message_type = _CMSGOPACITYMASKDATA
_CMSGOPACITYMASK.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGOPACITYMASK.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGHUESHIFT_ANIMATIONFRAMEDATA.containing_type = _CMSGHUESHIFT
_CMSGHUESHIFT.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGHUESHIFT.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGSATURATION_ANIMATIONFRAMEDATA.containing_type = _CMSGSATURATION
_CMSGSATURATION.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGSATURATION.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGBRIGHTNESS_ANIMATIONFRAMEDATA.containing_type = _CMSGBRIGHTNESS
_CMSGBRIGHTNESS.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGBRIGHTNESS.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGCONTRAST_ANIMATIONFRAMEDATA.containing_type = _CMSGCONTRAST
_CMSGCONTRAST.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGCONTRAST.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGGAUSSIANBLUR_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CMSGGAUSSIANVALUES
_CMSGGAUSSIANBLUR_ANIMATIONFRAMEDATA.containing_type = _CMSGGAUSSIANBLUR
_CMSGGAUSSIANBLUR.fields_by_name['base'].message_type = _CMSGGAUSSIANVALUES
_CMSGGAUSSIANBLUR.fields_by_name['transition'].message_type = _CMSGGAUSSIANVALUES
_CMSGGAUSSIANBLUR.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGGAUSSIANBLUR.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGMOTIONBLUR_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CMSGMOTIONBLURVALUES
_CMSGMOTIONBLUR_ANIMATIONFRAMEDATA.containing_type = _CMSGMOTIONBLUR
_CMSGMOTIONBLUR.fields_by_name['base'].message_type = _CMSGMOTIONBLURVALUES
_CMSGMOTIONBLUR.fields_by_name['transition'].message_type = _CMSGMOTIONBLURVALUES
_CMSGMOTIONBLUR.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGMOTIONBLUR.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSG3DTRANSFORMPERSPECTIVE_ANIMATIONFRAMEDATA.containing_type = _CMSG3DTRANSFORMPERSPECTIVE
_CMSG3DTRANSFORMPERSPECTIVE.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSG3DTRANSFORMPERSPECTIVE.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSG3DTRANSFORMPERSPECTIVEORIGIN_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CMSGPOINT
_CMSG3DTRANSFORMPERSPECTIVEORIGIN_ANIMATIONFRAMEDATA.containing_type = _CMSG3DTRANSFORMPERSPECTIVEORIGIN
_CMSG3DTRANSFORMPERSPECTIVEORIGIN.fields_by_name['base'].message_type = _CMSGPOINT
_CMSG3DTRANSFORMPERSPECTIVEORIGIN.fields_by_name['transition'].message_type = _CMSGPOINT
_CMSG3DTRANSFORMPERSPECTIVEORIGIN.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSG3DTRANSFORMPERSPECTIVEORIGIN.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSG3DTRANSFORMORIGIN_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CMSGTRANSFORMORIGINDATA
_CMSG3DTRANSFORMORIGIN_ANIMATIONFRAMEDATA.containing_type = _CMSG3DTRANSFORMORIGIN
_CMSG3DTRANSFORMORIGIN.fields_by_name['base'].message_type = _CMSGTRANSFORMORIGINDATA
_CMSG3DTRANSFORMORIGIN.fields_by_name['transition'].message_type = _CMSGTRANSFORMORIGINDATA
_CMSG3DTRANSFORMORIGIN.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSG3DTRANSFORMORIGIN.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSG3DTRANSFORMMATRIX_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CMSGMATRIX4X4
_CMSG3DTRANSFORMMATRIX_ANIMATIONFRAMEDATA.containing_type = _CMSG3DTRANSFORMMATRIX
_CMSG3DTRANSFORMMATRIX.fields_by_name['base'].message_type = _CMSGMATRIX4X4
_CMSG3DTRANSFORMMATRIX.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSG3DTRANSFORMMATRIX.fields_by_name['transition'].message_type = _CMSGMATRIX4X4
_CMSG3DTRANSFORMMATRIX.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGBORDERRADIUS_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CRADIUSDATA
_CMSGBORDERRADIUS_ANIMATIONFRAMEDATA.containing_type = _CMSGBORDERRADIUS
_CMSGBORDERRADIUS.fields_by_name['base'].message_type = _CRADIUSDATA
_CMSGBORDERRADIUS.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGBORDERRADIUS.fields_by_name['transition'].message_type = _CRADIUSDATA
_CMSGBORDERRADIUS.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGBORDER_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CBORDERDATA
_CMSGBORDER_ANIMATIONFRAMEDATA.containing_type = _CMSGBORDER
_CMSGBORDER.fields_by_name['base'].message_type = _CBORDERDATA
_CMSGBORDER.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGBORDER.fields_by_name['transition'].message_type = _CBORDERDATA
_CMSGBORDER.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGBOXSHADOW_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CBOXSHADOWDATA
_CMSGBOXSHADOW_ANIMATIONFRAMEDATA.containing_type = _CMSGBOXSHADOW
_CMSGBOXSHADOW.fields_by_name['base'].message_type = _CBOXSHADOWDATA
_CMSGBOXSHADOW.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGBOXSHADOW.fields_by_name['transition'].message_type = _CBOXSHADOWDATA
_CMSGBOXSHADOW.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGTEXTSHADOW_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CTEXTSHADOWDATA
_CMSGTEXTSHADOW_ANIMATIONFRAMEDATA.containing_type = _CMSGTEXTSHADOW
_CMSGTEXTSHADOW.fields_by_name['base'].message_type = _CTEXTSHADOWDATA
_CMSGTEXTSHADOW.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGTEXTSHADOW.fields_by_name['transition'].message_type = _CTEXTSHADOWDATA
_CMSGTEXTSHADOW.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGCLIP_ANIMATIONFRAMEDATA.fields_by_name['data'].message_type = _CMSGCLIPDATA
_CMSGCLIP_ANIMATIONFRAMEDATA.containing_type = _CMSGCLIP
_CMSGCLIP.fields_by_name['base'].message_type = _CMSGCLIPDATA
_CMSGCLIP.fields_by_name['transition_data'].message_type = _CMSGTRANSITIONDATA
_CMSGCLIP.fields_by_name['transition'].message_type = _CMSGCLIPDATA
_CMSGCLIP.fields_by_name['animations'].message_type = _CMSGANIMATIONDATA
_CMSGPUSHCLIPLAYER.fields_by_name['top_left'].message_type = _CMSGPOINT
_CMSGPUSHCLIPLAYER.fields_by_name['bottom_right'].message_type = _CMSGPOINT
_CMSGPUSHCLIPLAYER.fields_by_name['border_radius'].message_type = _CRADIUSDATA
_CMSGPUSHPANELCONTEXTINLAYER.fields_by_name['box_shadow'].message_type = _CBOXSHADOWDATA
_CMSGPUSHPANELCONTEXTINLAYER.fields_by_name['border'].message_type = _CBORDERDATA
_CMSGPUSHAANDTCONTEXT.fields_by_name['panel_position'].message_type = _CMSGPANELPOSITION
_CMSGPUSHAANDTCONTEXT.fields_by_name['transform_matrix'].message_type = _CMSG3DTRANSFORMMATRIX
_CMSGPUSHAANDTCONTEXT.fields_by_name['transform_origin'].message_type = _CMSG3DTRANSFORMORIGIN
_CMSGPUSHAANDTCONTEXT.fields_by_name['transform_perspective'].message_type = _CMSG3DTRANSFORMPERSPECTIVE
_CMSGPUSHAANDTCONTEXT.fields_by_name['transform_perspective_origin'].message_type = _CMSG3DTRANSFORMPERSPECTIVEORIGIN
_CMSGPUSHAANDTCONTEXT.fields_by_name['opacity'].message_type = _CMSGOPACITY
_CMSGPUSHAANDTCONTEXT.fields_by_name['wash_color'].message_type = _CMSGCOLOR
_CMSGPUSHAANDTCONTEXT.fields_by_name['hue_shift'].message_type = _CMSGHUESHIFT
_CMSGPUSHAANDTCONTEXT.fields_by_name['saturation'].message_type = _CMSGSATURATION
_CMSGPUSHAANDTCONTEXT.fields_by_name['brightness'].message_type = _CMSGBRIGHTNESS
_CMSGPUSHAANDTCONTEXT.fields_by_name['contrast'].message_type = _CMSGCONTRAST
_CMSGPUSHAANDTCONTEXT.fields_by_name['opacity_mask'].message_type = _CMSGOPACITYMASK
_CMSGPUSHAANDTCONTEXT.fields_by_name['border_radius'].message_type = _CMSGBORDERRADIUS
_CMSGPUSHAANDTCONTEXT.fields_by_name['gaussian_blur'].message_type = _CMSGGAUSSIANBLUR
_CMSGPUSHAANDTCONTEXT.fields_by_name['border'].message_type = _CMSGBORDER
_CMSGPUSHAANDTCONTEXT.fields_by_name['box_shadow'].message_type = _CMSGBOXSHADOW
_CMSGPUSHAANDTCONTEXT.fields_by_name['scale_2d_centered'].message_type = _CMSGPOINTWITHTRANSITION
_CMSGPUSHAANDTCONTEXT.fields_by_name['rotate_2d_centered'].message_type = _CMSGROTATE2D
_CMSGPUSHAANDTCONTEXT.fields_by_name['text_shadow'].message_type = _CMSGTEXTSHADOW
_CMSGPUSHAANDTCONTEXT.fields_by_name['clip'].message_type = _CMSGCLIP
_CMSGPUSHAANDTCONTEXT.fields_by_name['motion_blur'].message_type = _CMSGMOTIONBLUR
_CMSGDRAWFILLEDRECT.fields_by_name['top_left'].message_type = _CMSGPOINT
_CMSGDRAWFILLEDRECT.fields_by_name['bottom_right'].message_type = _CMSGPOINT
_CMSGDRAWFILLEDRECT.fields_by_name['fill_brush_collection'].message_type = _CMSGFILLBRUSHCOLLECTION
_CMSGRENDERFILLEDRECT.fields_by_name['top_left'].message_type = _CMSGPOINT
_CMSGRENDERFILLEDRECT.fields_by_name['bottom_right'].message_type = _CMSGPOINT
_CMSGRENDERFILLEDRECT.fields_by_name['fill_brush_collection'].message_type = _CMSGRENDERFILLBRUSHCOLLECTION
_CMSGDRAWTEXTUREDRECT.fields_by_name['top_left'].message_type = _CMSGPOINT
_CMSGDRAWTEXTUREDRECT.fields_by_name['bottom_right'].message_type = _CMSGPOINT
_CMSGDRAWTEXTUREDRECT.fields_by_name['texture_top_left'].message_type = _CMSGPOINT
_CMSGDRAWTEXTUREDRECT.fields_by_name['texture_bottom_right'].message_type = _CMSGPOINT
_CMSGDRAWTEXTUREDRECT.fields_by_name['texture_opacity'].message_type = _CMSGOPACITY
_CMSGRENDERTEXTUREDRECT.fields_by_name['top_left'].message_type = _CMSGPOINT
_CMSGRENDERTEXTUREDRECT.fields_by_name['bottom_right'].message_type = _CMSGPOINT
_CMSGRENDERTEXTUREDRECT.fields_by_name['texture_top_left'].message_type = _CMSGPOINT
_CMSGRENDERTEXTUREDRECT.fields_by_name['texture_bottom_right'].message_type = _CMSGPOINT
_CMSGTEXTFORMAT.fields_by_name['fill_brush_collection'].message_type = _CMSGFILLBRUSHCOLLECTION
_CMSGTEXTFORMAT.fields_by_name['inline_object'].message_type = _CMSGTEXTINLINEOBJECT
_CMSGTEXTRANGEFORMAT.fields_by_name['format'].message_type = _CMSGTEXTFORMAT
_CMSGRENDERTEXTFORMAT.fields_by_name['fill_brush_collection'].message_type = _CMSGRENDERFILLBRUSHCOLLECTION
_CMSGRENDERTEXTFORMAT.fields_by_name['inline_object'].message_type = _CMSGTEXTINLINEOBJECT
_CMSGRENDERTEXTRANGEFORMAT.fields_by_name['format'].message_type = _CMSGRENDERTEXTFORMAT
_CMSGDRAWTEXTREGION.fields_by_name['default_format'].message_type = _CMSGTEXTFORMAT
_CMSGDRAWTEXTREGION.fields_by_name['top_left'].message_type = _CMSGPOINT
_CMSGDRAWTEXTREGION.fields_by_name['bottom_right'].message_type = _CMSGPOINT
_CMSGDRAWTEXTREGION.fields_by_name['range_formats'].message_type = _CMSGTEXTRANGEFORMAT
_CMSGRENDERTEXTREGION.fields_by_name['default_format'].message_type = _CMSGRENDERTEXTFORMAT
_CMSGRENDERTEXTREGION.fields_by_name['top_left'].message_type = _CMSGPOINT
_CMSGRENDERTEXTREGION.fields_by_name['bottom_right'].message_type = _CMSGPOINT
_CMSGRENDERTEXTREGION.fields_by_name['range_formats'].message_type = _CMSGRENDERTEXTRANGEFORMAT
_CMSGRENDERTEXTREGION.fields_by_name['text_shadow'].message_type = _CTEXTSHADOWDATA
_CMSGREQUESTRENDERCALLBACK.fields_by_name['top_left'].message_type = _CMSGPOINT
_CMSGREQUESTRENDERCALLBACK.fields_by_name['bottom_right'].message_type = _CMSGPOINT
_CMSGREQUESTRENDERCALLBACK.fields_by_name['top_left_padding'].message_type = _CMSGPOINT
_CMSGREQUESTRENDERCALLBACK.fields_by_name['bottom_right_padding'].message_type = _CMSGPOINT
DESCRIPTOR.message_types_by_name['CMsgBeginFrame'] = _CMSGBEGINFRAME
DESCRIPTOR.message_types_by_name['CMsgEndFrame'] = _CMSGENDFRAME
DESCRIPTOR.message_types_by_name['CMsgClearBackbuffer'] = _CMSGCLEARBACKBUFFER
DESCRIPTOR.message_types_by_name['CMsgDeleteTexture'] = _CMSGDELETETEXTURE
DESCRIPTOR.message_types_by_name['CMsgDeletePanel'] = _CMSGDELETEPANEL
DESCRIPTOR.message_types_by_name['CMsgDeleteParticleSystem'] = _CMSGDELETEPARTICLESYSTEM
DESCRIPTOR.message_types_by_name['CMsgPoint'] = _CMSGPOINT
DESCRIPTOR.message_types_by_name['CMsgMatrix4x4'] = _CMSGMATRIX4X4
DESCRIPTOR.message_types_by_name['CRadiusData'] = _CRADIUSDATA
DESCRIPTOR.message_types_by_name['CBorderData'] = _CBORDERDATA
DESCRIPTOR.message_types_by_name['CBoxShadowData'] = _CBOXSHADOWDATA
DESCRIPTOR.message_types_by_name['CTextShadowData'] = _CTEXTSHADOWDATA
DESCRIPTOR.message_types_by_name['CRadialClipData'] = _CRADIALCLIPDATA
DESCRIPTOR.message_types_by_name['CMsgClipData'] = _CMSGCLIPDATA
DESCRIPTOR.message_types_by_name['CMsgPushCompositingLayer'] = _CMSGPUSHCOMPOSITINGLAYER
DESCRIPTOR.message_types_by_name['CMsgPopCompositingLayer'] = _CMSGPOPCOMPOSITINGLAYER
DESCRIPTOR.message_types_by_name['CMsgFreeCompositingLayer'] = _CMSGFREECOMPOSITINGLAYER
DESCRIPTOR.message_types_by_name['CMsgTransitionData'] = _CMSGTRANSITIONDATA
DESCRIPTOR.message_types_by_name['CMsgAnimationData'] = _CMSGANIMATIONDATA
DESCRIPTOR.message_types_by_name['CMsgAnimationFrameData'] = _CMSGANIMATIONFRAMEDATA
DESCRIPTOR.message_types_by_name['CMsgPointWithTransition'] = _CMSGPOINTWITHTRANSITION
DESCRIPTOR.message_types_by_name['CMsgColor'] = _CMSGCOLOR
DESCRIPTOR.message_types_by_name['CMsgColorStop'] = _CMSGCOLORSTOP
DESCRIPTOR.message_types_by_name['CMsgLinearGradient'] = _CMSGLINEARGRADIENT
DESCRIPTOR.message_types_by_name['CMsgRadialGradient'] = _CMSGRADIALGRADIENT
DESCRIPTOR.message_types_by_name['CMsgParticle'] = _CMSGPARTICLE
DESCRIPTOR.message_types_by_name['CMsgParticleSystem'] = _CMSGPARTICLESYSTEM
DESCRIPTOR.message_types_by_name['CMsgFillBrush'] = _CMSGFILLBRUSH
DESCRIPTOR.message_types_by_name['CMsgFillBrushCollection'] = _CMSGFILLBRUSHCOLLECTION
DESCRIPTOR.message_types_by_name['CMsgRenderFillBrushCollection'] = _CMSGRENDERFILLBRUSHCOLLECTION
DESCRIPTOR.message_types_by_name['CMsgPanelPosition'] = _CMSGPANELPOSITION
DESCRIPTOR.message_types_by_name['CMsgOpacity'] = _CMSGOPACITY
DESCRIPTOR.message_types_by_name['CMsgRotate2D'] = _CMSGROTATE2D
DESCRIPTOR.message_types_by_name['CMsgOpacityMaskData'] = _CMSGOPACITYMASKDATA
DESCRIPTOR.message_types_by_name['CMsgOpacityMask'] = _CMSGOPACITYMASK
DESCRIPTOR.message_types_by_name['CMsgHueShift'] = _CMSGHUESHIFT
DESCRIPTOR.message_types_by_name['CMsgSaturation'] = _CMSGSATURATION
DESCRIPTOR.message_types_by_name['CMsgBrightness'] = _CMSGBRIGHTNESS
DESCRIPTOR.message_types_by_name['CMsgContrast'] = _CMSGCONTRAST
DESCRIPTOR.message_types_by_name['CMsgGaussianValues'] = _CMSGGAUSSIANVALUES
DESCRIPTOR.message_types_by_name['CMsgGaussianBlur'] = _CMSGGAUSSIANBLUR
DESCRIPTOR.message_types_by_name['CMsgMotionBlurValues'] = _CMSGMOTIONBLURVALUES
DESCRIPTOR.message_types_by_name['CMsgMotionBlur'] = _CMSGMOTIONBLUR
DESCRIPTOR.message_types_by_name['CMsg3DTransformPerspective'] = _CMSG3DTRANSFORMPERSPECTIVE
DESCRIPTOR.message_types_by_name['CMsg3DTransformPerspectiveOrigin'] = _CMSG3DTRANSFORMPERSPECTIVEORIGIN
DESCRIPTOR.message_types_by_name['CMsgTransformOriginData'] = _CMSGTRANSFORMORIGINDATA
DESCRIPTOR.message_types_by_name['CMsg3DTransformOrigin'] = _CMSG3DTRANSFORMORIGIN
DESCRIPTOR.message_types_by_name['CMsg3DTransformMatrix'] = _CMSG3DTRANSFORMMATRIX
DESCRIPTOR.message_types_by_name['CMsgBorderRadius'] = _CMSGBORDERRADIUS
DESCRIPTOR.message_types_by_name['CMsgBorder'] = _CMSGBORDER
DESCRIPTOR.message_types_by_name['CMsgBoxShadow'] = _CMSGBOXSHADOW
DESCRIPTOR.message_types_by_name['CMsgTextShadow'] = _CMSGTEXTSHADOW
DESCRIPTOR.message_types_by_name['CMsgClip'] = _CMSGCLIP
DESCRIPTOR.message_types_by_name['CMsgPushClipLayer'] = _CMSGPUSHCLIPLAYER
DESCRIPTOR.message_types_by_name['CMsgPopClipLayer'] = _CMSGPOPCLIPLAYER
DESCRIPTOR.message_types_by_name['CMsgPushPanelContextInLayer'] = _CMSGPUSHPANELCONTEXTINLAYER
DESCRIPTOR.message_types_by_name['CMsgPopPanelContextInLayer'] = _CMSGPOPPANELCONTEXTINLAYER
DESCRIPTOR.message_types_by_name['CMsgPushAAndTContext'] = _CMSGPUSHAANDTCONTEXT
DESCRIPTOR.message_types_by_name['CMsgPopAAndTContext'] = _CMSGPOPAANDTCONTEXT
DESCRIPTOR.message_types_by_name['CMsgBeginPaintBackground'] = _CMSGBEGINPAINTBACKGROUND
DESCRIPTOR.message_types_by_name['CMsgEndPaintBackground'] = _CMSGENDPAINTBACKGROUND
DESCRIPTOR.message_types_by_name['CMsgBeginPaintLast'] = _CMSGBEGINPAINTLAST
DESCRIPTOR.message_types_by_name['CMsgEndPaintLast'] = _CMSGENDPAINTLAST
DESCRIPTOR.message_types_by_name['CMsgDrawFilledRect'] = _CMSGDRAWFILLEDRECT
DESCRIPTOR.message_types_by_name['CMsgRenderFilledRect'] = _CMSGRENDERFILLEDRECT
DESCRIPTOR.message_types_by_name['CMsgDrawTexturedRect'] = _CMSGDRAWTEXTUREDRECT
DESCRIPTOR.message_types_by_name['CMsgRenderTexturedRect'] = _CMSGRENDERTEXTUREDRECT
DESCRIPTOR.message_types_by_name['CMsgLockTexture'] = _CMSGLOCKTEXTURE
DESCRIPTOR.message_types_by_name['CMsgTextInlineObject'] = _CMSGTEXTINLINEOBJECT
DESCRIPTOR.message_types_by_name['CMsgTextFormat'] = _CMSGTEXTFORMAT
DESCRIPTOR.message_types_by_name['CMsgTextRangeFormat'] = _CMSGTEXTRANGEFORMAT
DESCRIPTOR.message_types_by_name['CMsgRenderTextFormat'] = _CMSGRENDERTEXTFORMAT
DESCRIPTOR.message_types_by_name['CMsgRenderTextRangeFormat'] = _CMSGRENDERTEXTRANGEFORMAT
DESCRIPTOR.message_types_by_name['CMsgDrawTextRegion'] = _CMSGDRAWTEXTREGION
DESCRIPTOR.message_types_by_name['CMsgRenderTextRegion'] = _CMSGRENDERTEXTREGION
DESCRIPTOR.message_types_by_name['CMsgRequestRenderCallback'] = _CMSGREQUESTRENDERCALLBACK
_sym_db.RegisterFileDescriptor(DESCRIPTOR)
CMsgBeginFrame = _reflection.GeneratedProtocolMessageType('CMsgBeginFrame', (_message.Message,), dict(
DESCRIPTOR = _CMSGBEGINFRAME,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgBeginFrame)
))
_sym_db.RegisterMessage(CMsgBeginFrame)
CMsgEndFrame = _reflection.GeneratedProtocolMessageType('CMsgEndFrame', (_message.Message,), dict(
DESCRIPTOR = _CMSGENDFRAME,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgEndFrame)
))
_sym_db.RegisterMessage(CMsgEndFrame)
CMsgClearBackbuffer = _reflection.GeneratedProtocolMessageType('CMsgClearBackbuffer', (_message.Message,), dict(
DESCRIPTOR = _CMSGCLEARBACKBUFFER,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgClearBackbuffer)
))
_sym_db.RegisterMessage(CMsgClearBackbuffer)
CMsgDeleteTexture = _reflection.GeneratedProtocolMessageType('CMsgDeleteTexture', (_message.Message,), dict(
DESCRIPTOR = _CMSGDELETETEXTURE,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgDeleteTexture)
))
_sym_db.RegisterMessage(CMsgDeleteTexture)
CMsgDeletePanel = _reflection.GeneratedProtocolMessageType('CMsgDeletePanel', (_message.Message,), dict(
DESCRIPTOR = _CMSGDELETEPANEL,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgDeletePanel)
))
_sym_db.RegisterMessage(CMsgDeletePanel)
CMsgDeleteParticleSystem = _reflection.GeneratedProtocolMessageType('CMsgDeleteParticleSystem', (_message.Message,), dict(
DESCRIPTOR = _CMSGDELETEPARTICLESYSTEM,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgDeleteParticleSystem)
))
_sym_db.RegisterMessage(CMsgDeleteParticleSystem)
CMsgPoint = _reflection.GeneratedProtocolMessageType('CMsgPoint', (_message.Message,), dict(
DESCRIPTOR = _CMSGPOINT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgPoint)
))
_sym_db.RegisterMessage(CMsgPoint)
CMsgMatrix4x4 = _reflection.GeneratedProtocolMessageType('CMsgMatrix4x4', (_message.Message,), dict(
DESCRIPTOR = _CMSGMATRIX4X4,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgMatrix4x4)
))
_sym_db.RegisterMessage(CMsgMatrix4x4)
CRadiusData = _reflection.GeneratedProtocolMessageType('CRadiusData', (_message.Message,), dict(
CCornerRadius = _reflection.GeneratedProtocolMessageType('CCornerRadius', (_message.Message,), dict(
DESCRIPTOR = _CRADIUSDATA_CCORNERRADIUS,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CRadiusData.CCornerRadius)
))
,
DESCRIPTOR = _CRADIUSDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CRadiusData)
))
_sym_db.RegisterMessage(CRadiusData)
_sym_db.RegisterMessage(CRadiusData.CCornerRadius)
CBorderData = _reflection.GeneratedProtocolMessageType('CBorderData', (_message.Message,), dict(
CBorderSide = _reflection.GeneratedProtocolMessageType('CBorderSide', (_message.Message,), dict(
DESCRIPTOR = _CBORDERDATA_CBORDERSIDE,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CBorderData.CBorderSide)
))
,
DESCRIPTOR = _CBORDERDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CBorderData)
))
_sym_db.RegisterMessage(CBorderData)
_sym_db.RegisterMessage(CBorderData.CBorderSide)
CBoxShadowData = _reflection.GeneratedProtocolMessageType('CBoxShadowData', (_message.Message,), dict(
DESCRIPTOR = _CBOXSHADOWDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CBoxShadowData)
))
_sym_db.RegisterMessage(CBoxShadowData)
CTextShadowData = _reflection.GeneratedProtocolMessageType('CTextShadowData', (_message.Message,), dict(
DESCRIPTOR = _CTEXTSHADOWDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CTextShadowData)
))
_sym_db.RegisterMessage(CTextShadowData)
CRadialClipData = _reflection.GeneratedProtocolMessageType('CRadialClipData', (_message.Message,), dict(
DESCRIPTOR = _CRADIALCLIPDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CRadialClipData)
))
_sym_db.RegisterMessage(CRadialClipData)
CMsgClipData = _reflection.GeneratedProtocolMessageType('CMsgClipData', (_message.Message,), dict(
DESCRIPTOR = _CMSGCLIPDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgClipData)
))
_sym_db.RegisterMessage(CMsgClipData)
CMsgPushCompositingLayer = _reflection.GeneratedProtocolMessageType('CMsgPushCompositingLayer', (_message.Message,), dict(
DESCRIPTOR = _CMSGPUSHCOMPOSITINGLAYER,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgPushCompositingLayer)
))
_sym_db.RegisterMessage(CMsgPushCompositingLayer)
CMsgPopCompositingLayer = _reflection.GeneratedProtocolMessageType('CMsgPopCompositingLayer', (_message.Message,), dict(
DESCRIPTOR = _CMSGPOPCOMPOSITINGLAYER,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgPopCompositingLayer)
))
_sym_db.RegisterMessage(CMsgPopCompositingLayer)
CMsgFreeCompositingLayer = _reflection.GeneratedProtocolMessageType('CMsgFreeCompositingLayer', (_message.Message,), dict(
DESCRIPTOR = _CMSGFREECOMPOSITINGLAYER,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgFreeCompositingLayer)
))
_sym_db.RegisterMessage(CMsgFreeCompositingLayer)
CMsgTransitionData = _reflection.GeneratedProtocolMessageType('CMsgTransitionData', (_message.Message,), dict(
DESCRIPTOR = _CMSGTRANSITIONDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgTransitionData)
))
_sym_db.RegisterMessage(CMsgTransitionData)
CMsgAnimationData = _reflection.GeneratedProtocolMessageType('CMsgAnimationData', (_message.Message,), dict(
DESCRIPTOR = _CMSGANIMATIONDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgAnimationData)
))
_sym_db.RegisterMessage(CMsgAnimationData)
CMsgAnimationFrameData = _reflection.GeneratedProtocolMessageType('CMsgAnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgAnimationFrameData)
))
_sym_db.RegisterMessage(CMsgAnimationFrameData)
CMsgPointWithTransition = _reflection.GeneratedProtocolMessageType('CMsgPointWithTransition', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGPOINTWITHTRANSITION_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgPointWithTransition.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGPOINTWITHTRANSITION,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgPointWithTransition)
))
_sym_db.RegisterMessage(CMsgPointWithTransition)
_sym_db.RegisterMessage(CMsgPointWithTransition.AnimationFrameData)
CMsgColor = _reflection.GeneratedProtocolMessageType('CMsgColor', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGCOLOR_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgColor.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGCOLOR,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgColor)
))
_sym_db.RegisterMessage(CMsgColor)
_sym_db.RegisterMessage(CMsgColor.AnimationFrameData)
CMsgColorStop = _reflection.GeneratedProtocolMessageType('CMsgColorStop', (_message.Message,), dict(
DESCRIPTOR = _CMSGCOLORSTOP,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgColorStop)
))
_sym_db.RegisterMessage(CMsgColorStop)
CMsgLinearGradient = _reflection.GeneratedProtocolMessageType('CMsgLinearGradient', (_message.Message,), dict(
DESCRIPTOR = _CMSGLINEARGRADIENT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgLinearGradient)
))
_sym_db.RegisterMessage(CMsgLinearGradient)
CMsgRadialGradient = _reflection.GeneratedProtocolMessageType('CMsgRadialGradient', (_message.Message,), dict(
DESCRIPTOR = _CMSGRADIALGRADIENT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgRadialGradient)
))
_sym_db.RegisterMessage(CMsgRadialGradient)
CMsgParticle = _reflection.GeneratedProtocolMessageType('CMsgParticle', (_message.Message,), dict(
DESCRIPTOR = _CMSGPARTICLE,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgParticle)
))
_sym_db.RegisterMessage(CMsgParticle)
CMsgParticleSystem = _reflection.GeneratedProtocolMessageType('CMsgParticleSystem', (_message.Message,), dict(
DESCRIPTOR = _CMSGPARTICLESYSTEM,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgParticleSystem)
))
_sym_db.RegisterMessage(CMsgParticleSystem)
CMsgFillBrush = _reflection.GeneratedProtocolMessageType('CMsgFillBrush', (_message.Message,), dict(
DESCRIPTOR = _CMSGFILLBRUSH,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgFillBrush)
))
_sym_db.RegisterMessage(CMsgFillBrush)
CMsgFillBrushCollection = _reflection.GeneratedProtocolMessageType('CMsgFillBrushCollection', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGFILLBRUSHCOLLECTION_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgFillBrushCollection.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGFILLBRUSHCOLLECTION,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgFillBrushCollection)
))
_sym_db.RegisterMessage(CMsgFillBrushCollection)
_sym_db.RegisterMessage(CMsgFillBrushCollection.AnimationFrameData)
CMsgRenderFillBrushCollection = _reflection.GeneratedProtocolMessageType('CMsgRenderFillBrushCollection', (_message.Message,), dict(
DESCRIPTOR = _CMSGRENDERFILLBRUSHCOLLECTION,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgRenderFillBrushCollection)
))
_sym_db.RegisterMessage(CMsgRenderFillBrushCollection)
CMsgPanelPosition = _reflection.GeneratedProtocolMessageType('CMsgPanelPosition', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGPANELPOSITION_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgPanelPosition.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGPANELPOSITION,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgPanelPosition)
))
_sym_db.RegisterMessage(CMsgPanelPosition)
_sym_db.RegisterMessage(CMsgPanelPosition.AnimationFrameData)
CMsgOpacity = _reflection.GeneratedProtocolMessageType('CMsgOpacity', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGOPACITY_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgOpacity.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGOPACITY,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgOpacity)
))
_sym_db.RegisterMessage(CMsgOpacity)
_sym_db.RegisterMessage(CMsgOpacity.AnimationFrameData)
CMsgRotate2D = _reflection.GeneratedProtocolMessageType('CMsgRotate2D', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGROTATE2D_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgRotate2D.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGROTATE2D,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgRotate2D)
))
_sym_db.RegisterMessage(CMsgRotate2D)
_sym_db.RegisterMessage(CMsgRotate2D.AnimationFrameData)
CMsgOpacityMaskData = _reflection.GeneratedProtocolMessageType('CMsgOpacityMaskData', (_message.Message,), dict(
DESCRIPTOR = _CMSGOPACITYMASKDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgOpacityMaskData)
))
_sym_db.RegisterMessage(CMsgOpacityMaskData)
CMsgOpacityMask = _reflection.GeneratedProtocolMessageType('CMsgOpacityMask', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGOPACITYMASK_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgOpacityMask.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGOPACITYMASK,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgOpacityMask)
))
_sym_db.RegisterMessage(CMsgOpacityMask)
_sym_db.RegisterMessage(CMsgOpacityMask.AnimationFrameData)
CMsgHueShift = _reflection.GeneratedProtocolMessageType('CMsgHueShift', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGHUESHIFT_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgHueShift.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGHUESHIFT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgHueShift)
))
_sym_db.RegisterMessage(CMsgHueShift)
_sym_db.RegisterMessage(CMsgHueShift.AnimationFrameData)
CMsgSaturation = _reflection.GeneratedProtocolMessageType('CMsgSaturation', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGSATURATION_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgSaturation.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGSATURATION,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgSaturation)
))
_sym_db.RegisterMessage(CMsgSaturation)
_sym_db.RegisterMessage(CMsgSaturation.AnimationFrameData)
CMsgBrightness = _reflection.GeneratedProtocolMessageType('CMsgBrightness', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGBRIGHTNESS_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgBrightness.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGBRIGHTNESS,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgBrightness)
))
_sym_db.RegisterMessage(CMsgBrightness)
_sym_db.RegisterMessage(CMsgBrightness.AnimationFrameData)
CMsgContrast = _reflection.GeneratedProtocolMessageType('CMsgContrast', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGCONTRAST_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgContrast.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGCONTRAST,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgContrast)
))
_sym_db.RegisterMessage(CMsgContrast)
_sym_db.RegisterMessage(CMsgContrast.AnimationFrameData)
CMsgGaussianValues = _reflection.GeneratedProtocolMessageType('CMsgGaussianValues', (_message.Message,), dict(
DESCRIPTOR = _CMSGGAUSSIANVALUES,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgGaussianValues)
))
_sym_db.RegisterMessage(CMsgGaussianValues)
CMsgGaussianBlur = _reflection.GeneratedProtocolMessageType('CMsgGaussianBlur', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGGAUSSIANBLUR_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgGaussianBlur.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGGAUSSIANBLUR,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgGaussianBlur)
))
_sym_db.RegisterMessage(CMsgGaussianBlur)
_sym_db.RegisterMessage(CMsgGaussianBlur.AnimationFrameData)
CMsgMotionBlurValues = _reflection.GeneratedProtocolMessageType('CMsgMotionBlurValues', (_message.Message,), dict(
DESCRIPTOR = _CMSGMOTIONBLURVALUES,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgMotionBlurValues)
))
_sym_db.RegisterMessage(CMsgMotionBlurValues)
CMsgMotionBlur = _reflection.GeneratedProtocolMessageType('CMsgMotionBlur', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGMOTIONBLUR_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgMotionBlur.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGMOTIONBLUR,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgMotionBlur)
))
_sym_db.RegisterMessage(CMsgMotionBlur)
_sym_db.RegisterMessage(CMsgMotionBlur.AnimationFrameData)
CMsg3DTransformPerspective = _reflection.GeneratedProtocolMessageType('CMsg3DTransformPerspective', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSG3DTRANSFORMPERSPECTIVE_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsg3DTransformPerspective.AnimationFrameData)
))
,
DESCRIPTOR = _CMSG3DTRANSFORMPERSPECTIVE,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsg3DTransformPerspective)
))
_sym_db.RegisterMessage(CMsg3DTransformPerspective)
_sym_db.RegisterMessage(CMsg3DTransformPerspective.AnimationFrameData)
CMsg3DTransformPerspectiveOrigin = _reflection.GeneratedProtocolMessageType('CMsg3DTransformPerspectiveOrigin', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSG3DTRANSFORMPERSPECTIVEORIGIN_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsg3DTransformPerspectiveOrigin.AnimationFrameData)
))
,
DESCRIPTOR = _CMSG3DTRANSFORMPERSPECTIVEORIGIN,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsg3DTransformPerspectiveOrigin)
))
_sym_db.RegisterMessage(CMsg3DTransformPerspectiveOrigin)
_sym_db.RegisterMessage(CMsg3DTransformPerspectiveOrigin.AnimationFrameData)
CMsgTransformOriginData = _reflection.GeneratedProtocolMessageType('CMsgTransformOriginData', (_message.Message,), dict(
DESCRIPTOR = _CMSGTRANSFORMORIGINDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgTransformOriginData)
))
_sym_db.RegisterMessage(CMsgTransformOriginData)
CMsg3DTransformOrigin = _reflection.GeneratedProtocolMessageType('CMsg3DTransformOrigin', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSG3DTRANSFORMORIGIN_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsg3DTransformOrigin.AnimationFrameData)
))
,
DESCRIPTOR = _CMSG3DTRANSFORMORIGIN,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsg3DTransformOrigin)
))
_sym_db.RegisterMessage(CMsg3DTransformOrigin)
_sym_db.RegisterMessage(CMsg3DTransformOrigin.AnimationFrameData)
CMsg3DTransformMatrix = _reflection.GeneratedProtocolMessageType('CMsg3DTransformMatrix', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSG3DTRANSFORMMATRIX_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsg3DTransformMatrix.AnimationFrameData)
))
,
DESCRIPTOR = _CMSG3DTRANSFORMMATRIX,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsg3DTransformMatrix)
))
_sym_db.RegisterMessage(CMsg3DTransformMatrix)
_sym_db.RegisterMessage(CMsg3DTransformMatrix.AnimationFrameData)
CMsgBorderRadius = _reflection.GeneratedProtocolMessageType('CMsgBorderRadius', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGBORDERRADIUS_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgBorderRadius.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGBORDERRADIUS,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgBorderRadius)
))
_sym_db.RegisterMessage(CMsgBorderRadius)
_sym_db.RegisterMessage(CMsgBorderRadius.AnimationFrameData)
CMsgBorder = _reflection.GeneratedProtocolMessageType('CMsgBorder', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGBORDER_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgBorder.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGBORDER,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgBorder)
))
_sym_db.RegisterMessage(CMsgBorder)
_sym_db.RegisterMessage(CMsgBorder.AnimationFrameData)
CMsgBoxShadow = _reflection.GeneratedProtocolMessageType('CMsgBoxShadow', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGBOXSHADOW_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgBoxShadow.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGBOXSHADOW,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgBoxShadow)
))
_sym_db.RegisterMessage(CMsgBoxShadow)
_sym_db.RegisterMessage(CMsgBoxShadow.AnimationFrameData)
CMsgTextShadow = _reflection.GeneratedProtocolMessageType('CMsgTextShadow', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGTEXTSHADOW_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgTextShadow.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGTEXTSHADOW,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgTextShadow)
))
_sym_db.RegisterMessage(CMsgTextShadow)
_sym_db.RegisterMessage(CMsgTextShadow.AnimationFrameData)
CMsgClip = _reflection.GeneratedProtocolMessageType('CMsgClip', (_message.Message,), dict(
AnimationFrameData = _reflection.GeneratedProtocolMessageType('AnimationFrameData', (_message.Message,), dict(
DESCRIPTOR = _CMSGCLIP_ANIMATIONFRAMEDATA,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgClip.AnimationFrameData)
))
,
DESCRIPTOR = _CMSGCLIP,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgClip)
))
_sym_db.RegisterMessage(CMsgClip)
_sym_db.RegisterMessage(CMsgClip.AnimationFrameData)
CMsgPushClipLayer = _reflection.GeneratedProtocolMessageType('CMsgPushClipLayer', (_message.Message,), dict(
DESCRIPTOR = _CMSGPUSHCLIPLAYER,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgPushClipLayer)
))
_sym_db.RegisterMessage(CMsgPushClipLayer)
CMsgPopClipLayer = _reflection.GeneratedProtocolMessageType('CMsgPopClipLayer', (_message.Message,), dict(
DESCRIPTOR = _CMSGPOPCLIPLAYER,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgPopClipLayer)
))
_sym_db.RegisterMessage(CMsgPopClipLayer)
CMsgPushPanelContextInLayer = _reflection.GeneratedProtocolMessageType('CMsgPushPanelContextInLayer', (_message.Message,), dict(
DESCRIPTOR = _CMSGPUSHPANELCONTEXTINLAYER,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgPushPanelContextInLayer)
))
_sym_db.RegisterMessage(CMsgPushPanelContextInLayer)
CMsgPopPanelContextInLayer = _reflection.GeneratedProtocolMessageType('CMsgPopPanelContextInLayer', (_message.Message,), dict(
DESCRIPTOR = _CMSGPOPPANELCONTEXTINLAYER,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgPopPanelContextInLayer)
))
_sym_db.RegisterMessage(CMsgPopPanelContextInLayer)
CMsgPushAAndTContext = _reflection.GeneratedProtocolMessageType('CMsgPushAAndTContext', (_message.Message,), dict(
DESCRIPTOR = _CMSGPUSHAANDTCONTEXT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgPushAAndTContext)
))
_sym_db.RegisterMessage(CMsgPushAAndTContext)
CMsgPopAAndTContext = _reflection.GeneratedProtocolMessageType('CMsgPopAAndTContext', (_message.Message,), dict(
DESCRIPTOR = _CMSGPOPAANDTCONTEXT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgPopAAndTContext)
))
_sym_db.RegisterMessage(CMsgPopAAndTContext)
CMsgBeginPaintBackground = _reflection.GeneratedProtocolMessageType('CMsgBeginPaintBackground', (_message.Message,), dict(
DESCRIPTOR = _CMSGBEGINPAINTBACKGROUND,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgBeginPaintBackground)
))
_sym_db.RegisterMessage(CMsgBeginPaintBackground)
CMsgEndPaintBackground = _reflection.GeneratedProtocolMessageType('CMsgEndPaintBackground', (_message.Message,), dict(
DESCRIPTOR = _CMSGENDPAINTBACKGROUND,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgEndPaintBackground)
))
_sym_db.RegisterMessage(CMsgEndPaintBackground)
CMsgBeginPaintLast = _reflection.GeneratedProtocolMessageType('CMsgBeginPaintLast', (_message.Message,), dict(
DESCRIPTOR = _CMSGBEGINPAINTLAST,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgBeginPaintLast)
))
_sym_db.RegisterMessage(CMsgBeginPaintLast)
CMsgEndPaintLast = _reflection.GeneratedProtocolMessageType('CMsgEndPaintLast', (_message.Message,), dict(
DESCRIPTOR = _CMSGENDPAINTLAST,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgEndPaintLast)
))
_sym_db.RegisterMessage(CMsgEndPaintLast)
CMsgDrawFilledRect = _reflection.GeneratedProtocolMessageType('CMsgDrawFilledRect', (_message.Message,), dict(
DESCRIPTOR = _CMSGDRAWFILLEDRECT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgDrawFilledRect)
))
_sym_db.RegisterMessage(CMsgDrawFilledRect)
CMsgRenderFilledRect = _reflection.GeneratedProtocolMessageType('CMsgRenderFilledRect', (_message.Message,), dict(
DESCRIPTOR = _CMSGRENDERFILLEDRECT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgRenderFilledRect)
))
_sym_db.RegisterMessage(CMsgRenderFilledRect)
CMsgDrawTexturedRect = _reflection.GeneratedProtocolMessageType('CMsgDrawTexturedRect', (_message.Message,), dict(
DESCRIPTOR = _CMSGDRAWTEXTUREDRECT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgDrawTexturedRect)
))
_sym_db.RegisterMessage(CMsgDrawTexturedRect)
CMsgRenderTexturedRect = _reflection.GeneratedProtocolMessageType('CMsgRenderTexturedRect', (_message.Message,), dict(
DESCRIPTOR = _CMSGRENDERTEXTUREDRECT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgRenderTexturedRect)
))
_sym_db.RegisterMessage(CMsgRenderTexturedRect)
CMsgLockTexture = _reflection.GeneratedProtocolMessageType('CMsgLockTexture', (_message.Message,), dict(
DESCRIPTOR = _CMSGLOCKTEXTURE,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgLockTexture)
))
_sym_db.RegisterMessage(CMsgLockTexture)
CMsgTextInlineObject = _reflection.GeneratedProtocolMessageType('CMsgTextInlineObject', (_message.Message,), dict(
DESCRIPTOR = _CMSGTEXTINLINEOBJECT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgTextInlineObject)
))
_sym_db.RegisterMessage(CMsgTextInlineObject)
CMsgTextFormat = _reflection.GeneratedProtocolMessageType('CMsgTextFormat', (_message.Message,), dict(
DESCRIPTOR = _CMSGTEXTFORMAT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgTextFormat)
))
_sym_db.RegisterMessage(CMsgTextFormat)
CMsgTextRangeFormat = _reflection.GeneratedProtocolMessageType('CMsgTextRangeFormat', (_message.Message,), dict(
DESCRIPTOR = _CMSGTEXTRANGEFORMAT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgTextRangeFormat)
))
_sym_db.RegisterMessage(CMsgTextRangeFormat)
CMsgRenderTextFormat = _reflection.GeneratedProtocolMessageType('CMsgRenderTextFormat', (_message.Message,), dict(
DESCRIPTOR = _CMSGRENDERTEXTFORMAT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgRenderTextFormat)
))
_sym_db.RegisterMessage(CMsgRenderTextFormat)
CMsgRenderTextRangeFormat = _reflection.GeneratedProtocolMessageType('CMsgRenderTextRangeFormat', (_message.Message,), dict(
DESCRIPTOR = _CMSGRENDERTEXTRANGEFORMAT,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgRenderTextRangeFormat)
))
_sym_db.RegisterMessage(CMsgRenderTextRangeFormat)
CMsgDrawTextRegion = _reflection.GeneratedProtocolMessageType('CMsgDrawTextRegion', (_message.Message,), dict(
DESCRIPTOR = _CMSGDRAWTEXTREGION,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgDrawTextRegion)
))
_sym_db.RegisterMessage(CMsgDrawTextRegion)
CMsgRenderTextRegion = _reflection.GeneratedProtocolMessageType('CMsgRenderTextRegion', (_message.Message,), dict(
DESCRIPTOR = _CMSGRENDERTEXTREGION,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgRenderTextRegion)
))
_sym_db.RegisterMessage(CMsgRenderTextRegion)
CMsgRequestRenderCallback = _reflection.GeneratedProtocolMessageType('CMsgRequestRenderCallback', (_message.Message,), dict(
DESCRIPTOR = _CMSGREQUESTRENDERCALLBACK,
__module__ = 'steam.protobufs.rendermessages_pb2'
# @@protoc_insertion_point(class_scope:CMsgRequestRenderCallback)
))
_sym_db.RegisterMessage(CMsgRequestRenderCallback)
_CMSGPOINTWITHTRANSITION.extensions_by_name['animation_frame_data'].message_type = _CMSGPOINTWITHTRANSITION_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGPOINTWITHTRANSITION.extensions_by_name['animation_frame_data'])
_CMSGCOLOR.extensions_by_name['animation_frame_data'].message_type = _CMSGCOLOR_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGCOLOR.extensions_by_name['animation_frame_data'])
_CMSGFILLBRUSHCOLLECTION.extensions_by_name['animation_frame_data'].message_type = _CMSGFILLBRUSHCOLLECTION_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGFILLBRUSHCOLLECTION.extensions_by_name['animation_frame_data'])
_CMSGPANELPOSITION.extensions_by_name['animation_frame_data'].message_type = _CMSGPANELPOSITION_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGPANELPOSITION.extensions_by_name['animation_frame_data'])
_CMSGOPACITY.extensions_by_name['animation_frame_data'].message_type = _CMSGOPACITY_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGOPACITY.extensions_by_name['animation_frame_data'])
_CMSGROTATE2D.extensions_by_name['animation_frame_data'].message_type = _CMSGROTATE2D_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGROTATE2D.extensions_by_name['animation_frame_data'])
_CMSGOPACITYMASK.extensions_by_name['animation_frame_data'].message_type = _CMSGOPACITYMASK_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGOPACITYMASK.extensions_by_name['animation_frame_data'])
_CMSGHUESHIFT.extensions_by_name['animation_frame_data'].message_type = _CMSGHUESHIFT_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGHUESHIFT.extensions_by_name['animation_frame_data'])
_CMSGSATURATION.extensions_by_name['animation_frame_data'].message_type = _CMSGSATURATION_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGSATURATION.extensions_by_name['animation_frame_data'])
_CMSGBRIGHTNESS.extensions_by_name['animation_frame_data'].message_type = _CMSGBRIGHTNESS_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGBRIGHTNESS.extensions_by_name['animation_frame_data'])
_CMSGCONTRAST.extensions_by_name['animation_frame_data'].message_type = _CMSGCONTRAST_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGCONTRAST.extensions_by_name['animation_frame_data'])
_CMSGGAUSSIANBLUR.extensions_by_name['animation_frame_data'].message_type = _CMSGGAUSSIANBLUR_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGGAUSSIANBLUR.extensions_by_name['animation_frame_data'])
_CMSGMOTIONBLUR.extensions_by_name['animation_frame_data'].message_type = _CMSGMOTIONBLUR_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGMOTIONBLUR.extensions_by_name['animation_frame_data'])
_CMSG3DTRANSFORMPERSPECTIVE.extensions_by_name['animation_frame_data'].message_type = _CMSG3DTRANSFORMPERSPECTIVE_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSG3DTRANSFORMPERSPECTIVE.extensions_by_name['animation_frame_data'])
_CMSG3DTRANSFORMPERSPECTIVEORIGIN.extensions_by_name['animation_frame_data'].message_type = _CMSG3DTRANSFORMPERSPECTIVEORIGIN_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSG3DTRANSFORMPERSPECTIVEORIGIN.extensions_by_name['animation_frame_data'])
_CMSG3DTRANSFORMORIGIN.extensions_by_name['animation_frame_data'].message_type = _CMSG3DTRANSFORMORIGIN_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSG3DTRANSFORMORIGIN.extensions_by_name['animation_frame_data'])
_CMSG3DTRANSFORMMATRIX.extensions_by_name['animation_frame_data'].message_type = _CMSG3DTRANSFORMMATRIX_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSG3DTRANSFORMMATRIX.extensions_by_name['animation_frame_data'])
_CMSGBORDERRADIUS.extensions_by_name['animation_frame_data'].message_type = _CMSGBORDERRADIUS_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGBORDERRADIUS.extensions_by_name['animation_frame_data'])
_CMSGBORDER.extensions_by_name['animation_frame_data'].message_type = _CMSGBORDER_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGBORDER.extensions_by_name['animation_frame_data'])
_CMSGBOXSHADOW.extensions_by_name['animation_frame_data'].message_type = _CMSGBOXSHADOW_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGBOXSHADOW.extensions_by_name['animation_frame_data'])
_CMSGTEXTSHADOW.extensions_by_name['animation_frame_data'].message_type = _CMSGTEXTSHADOW_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGTEXTSHADOW.extensions_by_name['animation_frame_data'])
_CMSGCLIP.extensions_by_name['animation_frame_data'].message_type = _CMSGCLIP_ANIMATIONFRAMEDATA
CMsgAnimationFrameData.RegisterExtension(_CMSGCLIP.extensions_by_name['animation_frame_data'])
DESCRIPTOR._options = None
# @@protoc_insertion_point(module_scope)
| 46.46385
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| 0.657297
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0
| 6
|
48bd2d352a29708bf89a7f8397a3545b254ae37d
| 6,834
|
py
|
Python
|
tests/test_arr_to_mat.py
|
avilchess/carma
|
32857b2ab70a0338d15c81fdaf30945ba238a32e
|
[
"Apache-2.0"
] | null | null | null |
tests/test_arr_to_mat.py
|
avilchess/carma
|
32857b2ab70a0338d15c81fdaf30945ba238a32e
|
[
"Apache-2.0"
] | null | null | null |
tests/test_arr_to_mat.py
|
avilchess/carma
|
32857b2ab70a0338d15c81fdaf30945ba238a32e
|
[
"Apache-2.0"
] | null | null | null |
"""Test numpy array to matrix conversion function."""
import numpy as np
import libs.test_carma as carma
test_flags = {
1: 'Number of elements between array and matrix are not the same',
2: 'Number of rows between array and matrix are not the same',
3: 'Number of columns between array and matrix are not the same',
4: 'Sum of elements between array and matrix is not aproximately equal',
5: 'Pointer to memory is not as expected',
}
def test_arr_to_mat_double():
"""Test arr_to_mat."""
sample = np.asarray(
np.random.normal(size=(10, 2)), dtype=np.float64, order='F'
)
flag = carma.arr_to_mat_double(sample, False, False)
assert flag == 0, test_flags[flag]
def test_arr_to_mat_long():
"""Test arr_to_mat."""
sample = np.asarray(
np.random.normal(size=(10, 2)), dtype=np.int64, order='F'
)
flag = carma.arr_to_mat_long(sample, False, False)
assert flag == 0, test_flags[flag]
def test_arr_to_mat_double_c_contiguous():
"""Test arr_to_mat."""
sample = np.asarray(np.random.normal(size=(10, 2)), dtype=np.float64)
flag = carma.arr_to_mat_double(sample, False, False)
assert flag == 5, test_flags[flag]
def test_arr_to_mat_long_c_contiguous():
"""Test arr_to_mat."""
sample = np.asarray(np.random.normal(size=(10, 2)), dtype=np.int64)
flag = carma.arr_to_mat_long(sample, False, False)
assert flag == 5, test_flags[flag]
def test_arr_to_mat_double_copy():
"""Test arr_to_mat."""
sample = np.asarray(
np.random.normal(size=(10, 2)), dtype=np.float64, order='F'
)
flag = carma.arr_to_mat_double_copy(sample)
assert flag == 0, test_flags[flag]
def test_arr_to_mat_double_copy_c_contiguous():
"""Test arr_to_mat."""
sample = np.asarray(
np.random.normal(size=(10, 2)), dtype=np.float64, order='C'
)
flag = carma.arr_to_mat_double_copy(sample)
assert flag == 0, test_flags[flag]
# #############################################################################
# N-DIM 1 #
# #############################################################################
def test_arr_to_mat_1d():
"""Test arr_to_mat."""
sample = np.asarray(
np.random.normal(size=(10)), dtype=np.float64, order='F'
)
flag = carma.arr_to_mat_1d(sample, False, False)
assert flag == 0, test_flags[flag]
def test_arr_to_mat_1d_copy():
"""Test arr_to_mat."""
sample = np.asarray(
np.random.normal(size=(10)), dtype=np.float64, order='F'
)
flag = carma.arr_to_mat_1d(sample, True, False)
assert flag == 5, test_flags[flag]
def test_arr_to_col():
"""Test arr_to_col."""
sample = np.asarray(np.random.normal(size=10), dtype=np.float64, order='F')
flag = carma.arr_to_col(sample, False, False)
assert flag == 0, test_flags[flag]
def test_arr_to_col_C():
"""Test arr_to_col."""
sample = np.asarray(np.random.normal(size=10), dtype=np.float64, order='C')
flag = carma.arr_to_col(sample, False, False)
assert flag == 0, test_flags[flag]
def test_arr_to_col_writeable():
"""Test arr_to_col."""
sample = np.asarray(np.random.normal(size=10), dtype=np.float64, order='C')
sample.setflags(write=0)
flag = carma.arr_to_col(sample, False, False)
assert flag == 5, test_flags[flag]
def test_arr_to_col_copy():
"""Test arr_to_col."""
sample = np.asarray(np.random.normal(size=10), dtype=np.float64, order='F')
flag = carma.arr_to_col(sample, True, False)
assert flag == 5, test_flags[flag]
def test_arr_to_col_copy_C():
"""Test arr_to_col."""
sample = np.asarray(np.random.normal(size=10), dtype=np.float64, order='C')
flag = carma.arr_to_col(sample, True, False)
assert flag == 5, test_flags[flag]
def test_arr_to_row():
"""Test arr_to_row."""
sample = np.asarray(np.random.normal(size=10), dtype=np.float64, order='F')
flag = carma.arr_to_row(sample, False, False)
assert flag == 0, test_flags[flag]
def test_arr_to_row_C():
"""Test arr_to_row."""
sample = np.asarray(np.random.normal(size=10), dtype=np.float64, order='C')
flag = carma.arr_to_row(sample, False, False)
assert flag == 0, test_flags[flag]
def test_arr_to_row_writeable():
"""Test arr_to_row."""
sample = np.asarray(np.random.normal(size=10), dtype=np.float64, order='F')
sample.setflags(write=0)
flag = carma.arr_to_row(sample, False, False)
assert flag == 5, test_flags[flag]
def test_arr_to_row_copy():
"""Test arr_to_col."""
sample = np.asarray(np.random.normal(size=10), dtype=np.float64, order='F')
flag = carma.arr_to_row(sample, True, False)
assert flag == 5, test_flags[flag]
def test_arr_to_row_copy_C():
"""Test arr_to_col."""
sample = np.asarray(np.random.normal(size=10), dtype=np.float64, order='C')
flag = carma.arr_to_row(sample, True, False)
assert flag == 5, test_flags[flag]
def test_arr_to_mat_cube():
"""Test arr_to_cube."""
sample = np.asarray(
np.random.normal(size=(10, 2, 2)), dtype=np.float64, order='F'
)
flag = carma.arr_to_cube(sample, False, False)
assert flag == 0, test_flags[flag]
def test_arr_to_cube_double_c_contiguous():
"""Test arr_to_mat."""
sample = np.asarray(np.random.normal(size=(10, 2, 2)), dtype=np.float64)
flag = carma.arr_to_cube(sample, False, False)
assert flag == 5, test_flags[flag]
def test_arr_to_mat_cube_copy():
"""Test arr_to_cube."""
sample = np.asarray(
np.random.normal(size=(10, 2, 2)), dtype=np.float64, order='F'
)
flag = carma.arr_to_cube(sample, True, False)
assert flag == 5, test_flags[flag]
def test_to_arma_mat():
"""Test private implementation of to_arma for matrix."""
sample = np.asarray(
np.random.normal(size=(10, 2)), dtype=np.float64, order='F'
)
flag = carma.to_arma_mat(sample, False, False)
assert flag == 0, test_flags[flag]
def test_to_arma_cube():
"""Test private implementation of to_arma for matrix."""
sample = np.asarray(
np.random.normal(size=(10, 2, 2)), dtype=np.float64, order='F'
)
flag = carma.to_arma_cube(sample, False, False)
assert flag == 0, test_flags[flag]
def test_to_arma_col():
"""Test private implementation of to_arma for matrix."""
sample = np.asarray(
np.random.normal(size=10), dtype=np.float64, order='F'
)
flag = carma.to_arma_col(sample, False, False)
assert flag == 0, test_flags[flag]
def test_to_arma_row():
"""Test private implementation of to_arma for matrix."""
sample = np.asarray(
np.random.normal(size=10), dtype=np.float64, order='F'
)
flag = carma.to_arma_row(sample, False, False)
assert flag == 0, test_flags[flag]
| 31.493088
| 79
| 0.641206
| 1,050
| 6,834
| 3.94381
| 0.069524
| 0.076069
| 0.091282
| 0.102632
| 0.944216
| 0.944216
| 0.924656
| 0.921758
| 0.887467
| 0.885293
| 0
| 0.027486
| 0.190811
| 6,834
| 216
| 80
| 31.638889
| 0.721338
| 0.095698
| 0
| 0.57037
| 0
| 0
| 0.051059
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| 0
| 0
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| 0
| 0.185185
| 1
| 0.185185
| false
| 0
| 0.014815
| 0
| 0.2
| 0
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| 0
| null | 0
| 0
| 0
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| 1
| 1
| 1
| 1
| 1
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
48f2abcb11e690d91d9d45faf49f4ae5d187b746
| 53
|
py
|
Python
|
taxi/ui/tty.py
|
jeanmonod/taxi
|
fcfd13a756824bb9657dff3965ac7739487790c4
|
[
"WTFPL"
] | 17
|
2016-02-02T14:10:49.000Z
|
2021-11-30T00:04:29.000Z
|
taxi/ui/tty.py
|
jeanmonod/taxi
|
fcfd13a756824bb9657dff3965ac7739487790c4
|
[
"WTFPL"
] | 70
|
2015-01-08T17:02:42.000Z
|
2021-09-21T20:08:07.000Z
|
taxi/ui/tty.py
|
jeanmonod/taxi
|
fcfd13a756824bb9657dff3965ac7739487790c4
|
[
"WTFPL"
] | 8
|
2015-08-23T12:50:36.000Z
|
2021-11-26T10:33:45.000Z
|
from . import BaseUi
class TtyUi(BaseUi):
pass
| 8.833333
| 20
| 0.679245
| 7
| 53
| 5.142857
| 0.857143
| 0
| 0
| 0
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| 0
| 0.245283
| 53
| 5
| 21
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| true
| 0.333333
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| null | 0
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| 0
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| 1
| 1
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| 1
| 0
|
0
| 6
|
48f5165fbc4a2d4f985f7fbd4ef4512748627168
| 94
|
py
|
Python
|
server/src/shares/__init__.py
|
sz-piotr/fioletowe-pomarancze
|
14e748041b8022709999a39f1a70788981f5ef14
|
[
"MIT"
] | null | null | null |
server/src/shares/__init__.py
|
sz-piotr/fioletowe-pomarancze
|
14e748041b8022709999a39f1a70788981f5ef14
|
[
"MIT"
] | null | null | null |
server/src/shares/__init__.py
|
sz-piotr/fioletowe-pomarancze
|
14e748041b8022709999a39f1a70788981f5ef14
|
[
"MIT"
] | null | null | null |
from flask import Blueprint
shares = Blueprint('shares', __name__)
from shares import views
| 15.666667
| 38
| 0.787234
| 12
| 94
| 5.833333
| 0.583333
| 0.428571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148936
| 94
| 5
| 39
| 18.8
| 0.875
| 0
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| 0.06383
| 0
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| 0
| 0
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| 0
| false
| 0
| 0.666667
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| 0.666667
| 1
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| null | 1
| 0
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| 0
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| 1
| 0
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| 0
| 1
| 1
|
0
| 6
|
5b0400be1ffeda269114d06c81e13ad56f396552
| 13,491
|
py
|
Python
|
tests/document_service_test.py
|
GRM-VisualVault/vvPyRest
|
59c15d3377b9955f575cfdb1362facc48f253442
|
[
"MIT"
] | 1
|
2019-01-31T10:41:35.000Z
|
2019-01-31T10:41:35.000Z
|
tests/document_service_test.py
|
GRM-VisualVault/vvPyRest
|
59c15d3377b9955f575cfdb1362facc48f253442
|
[
"MIT"
] | 5
|
2018-12-30T03:15:20.000Z
|
2021-06-30T21:49:41.000Z
|
tests/document_service_test.py
|
GRM-VisualVault/vvPyRest
|
59c15d3377b9955f575cfdb1362facc48f253442
|
[
"MIT"
] | null | null | null |
import unittest
from vvrest.services.document_service import DocumentService
from vvrest.services.file_service import FileService
from .settings import test_file_path
from .utilities import get_vault_object, generate_random_uuid, get_parameters_json
class DocumentServiceTest(unittest.TestCase):
vault = None
@classmethod
def setUpClass(cls):
if not cls.vault:
cls.vault = get_vault_object()
test_parameters = get_parameters_json()
cls.folder_path = test_parameters['folder_path']
cls.query_string = test_parameters['query_string']
cls.document_id = test_parameters['document_id']
cls.revision_id = test_parameters['document_revision_id']
cls.index_field_id = test_parameters['index_field_id']
cls.index_field_name = test_parameters['index_field_name']
cls.folder_id = test_parameters['folder_id']
def test_get_documents(self):
"""
tests DocumentService.get_documents
"""
document_service = DocumentService(self.vault)
resp = document_service.get_documents(self.query_string)
self.assertEqual(resp['meta']['status'], 200)
documents = resp['data']
self.assertGreater(len(documents), 0)
for document in documents:
self.assertEqual(document['folderPath'], self.folder_path)
def test_get_document(self):
"""
tests DocumentService.get_document
"""
document_service = DocumentService(self.vault)
resp = document_service.get_document(self.document_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['documentId'], self.document_id)
def test_get_document_revisions(self):
"""
tests DocumentService.get_document_revisions
"""
document_service = DocumentService(self.vault)
resp = document_service.get_document_revisions(self.document_id)
self.assertEqual(resp['meta']['status'], 200)
documents = resp['data']
self.assertGreater(len(documents), 0)
for document in documents:
self.assertEqual(document['documentId'], self.document_id)
def test_get_document_revision(self):
"""
tests DocumentService.get_document_revision
"""
document_service = DocumentService(self.vault)
resp = document_service.get_document_revision(self.document_id, self.revision_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['id'], self.revision_id)
self.assertEqual(resp['data']['documentId'], self.document_id)
def test_get_document_index_fields(self):
"""
tests DocumentService.get_document_index_fields
"""
document_service = DocumentService(self.vault)
resp = document_service.get_document_index_fields(self.document_id)
self.assertEqual(resp['meta']['status'], 200)
index_fields = resp['data']
self.assertGreater(len(index_fields), 0)
for index_field in index_fields:
self.assertEqual(index_field['dataType'], 'DocumentIndexField')
def test_get_document_index_field(self):
"""
tests DocumentService.get_document_index_field
"""
document_service = DocumentService(self.vault)
resp = document_service.get_document_index_field(self.document_id, self.index_field_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['fieldId'], self.index_field_id)
def test_get_document_revision_index_fields(self):
"""
tests DocumentService.get_document_revision_index_fields
"""
document_service = DocumentService(self.vault)
resp = document_service.get_document_revision_index_fields(self.document_id, self.revision_id)
self.assertEqual(resp['meta']['status'], 200)
index_fields = resp['data']
self.assertGreater(len(index_fields), 0)
for index_field in index_fields:
self.assertEqual(index_field['fieldId'], self.index_field_id)
def test_get_document_revision_index_field(self):
"""
tests DocumentService.get_document_revision_index_field
"""
document_service = DocumentService(self.vault)
resp = document_service.get_document_revision_index_field(self.document_id, self.revision_id, self.index_field_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['fieldId'], self.index_field_id)
def test_update_document_index_fields(self):
"""
tests DocumentService.update_document_index_fields
"""
document_service = DocumentService(self.vault)
expected_value = generate_random_uuid()
fields_dict = str({self.index_field_name: expected_value})
resp = document_service.update_document_index_fields(self.document_id, fields_dict)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(len(resp['data']), 1)
self.assertEqual(resp['data'][0]['fieldId'], self.index_field_id) # TODO: report issue with UUID label
# self.assertEqual(resp['data'][0]['value'], expected_value) # TODO: uncomment when API resolves bug
new_value = document_service.get_document_index_field(self.document_id, self.index_field_id)['data']['value']
self.assertEqual(new_value, expected_value)
def test_update_document_index_field(self):
"""
tests DocumentService.update_document_index_field
"""
document_service = DocumentService(self.vault)
expected_value = generate_random_uuid()
resp = document_service.update_document_index_field(self.document_id, self.index_field_id, expected_value)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['fieldId'], self.index_field_id)
self.assertEqual(resp['data']['value'], expected_value)
new_value = document_service.get_document_index_field(self.document_id, self.index_field_id)['data']['value']
self.assertEqual(new_value, expected_value)
def test_new_document_and_delete_document(self):
"""
tests DocumentService.new_document and DocumentService.delete_document
"""
document_service = DocumentService(self.vault)
# new document
resp = document_service.new_document(self.folder_id, 1, '_test_doc', '_test_doc description', '0', '_test.txt')
self.assertEqual(resp['meta']['status'], 200)
document_id = resp['data']['documentId']
revision_id = resp['data']['id']
# validate document exists in VV
resp = document_service.get_document(document_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['documentId'], document_id)
self.assertEqual(resp['data']['archive'], 0) # document not in recycle bin
# delete document
resp = document_service.delete_document(revision_id)
self.assertEqual(resp['meta']['status'], 200)
# validate document does not exist in VV
resp = document_service.get_document(document_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['archive'], 2) # document in recycle bin
def test_delete_document_revision(self):
"""
tests DocumentService.delete_document_revision
"""
document_service = DocumentService(self.vault)
# new document
resp = document_service.new_document(self.folder_id, 1, '_test_doc', '_test_doc description', '0', '_test.txt')
self.assertEqual(resp['meta']['status'], 200)
document_id = resp['data']['documentId']
empty_revision_id = resp['data']['id']
# validate document exists in VV
resp = document_service.get_document(document_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['documentId'], document_id)
self.assertEqual(resp['data']['archive'], 0) # document not in recycle bin
# upload first revision
file_upload_name = 'test_file.txt'
expected_revision = generate_random_uuid()
file_service = FileService(self.vault)
resp = file_service.file_upload(document_id, 'unittest', expected_revision, 'unittest change reason',
'Released', '', 'unittest.txt', test_file_path + '/' + file_upload_name)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['documentId'], document_id)
self.assertEqual(resp['data']['revision'], expected_revision)
new_file_id = resp['data']['id']
stream = file_service.get_file_stream(new_file_id)
stream_stats = vars(stream)
self.assertEqual(stream_stats['status_code'], 200)
self.assertEqual(stream_stats['headers']['Content-Type'], 'application/octet-stream')
# get new revision
resp = document_service.get_document(document_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['documentId'], document_id)
new_revision = resp['data']['id']
# upload second revision
expected_revision = generate_random_uuid()
file_service = FileService(self.vault)
resp = file_service.file_upload(document_id, 'unittest', expected_revision, 'unittest change reason',
'Released', '', 'unittest.txt', test_file_path + '/' + file_upload_name)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['documentId'], document_id)
self.assertEqual(resp['data']['revision'], expected_revision)
new_file_id = resp['data']['id']
stream = file_service.get_file_stream(new_file_id)
stream_stats = vars(stream)
self.assertEqual(stream_stats['status_code'], 200)
self.assertEqual(stream_stats['headers']['Content-Type'], 'application/octet-stream')
# get new revision
resp = document_service.get_document(document_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['documentId'], document_id)
newest_revision = resp['data']['id']
# validate newest revision has changed
self.assertNotEqual(new_revision, newest_revision)
# validate document is not deleted
resp = document_service.get_document_revision(document_id, new_revision)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['archive'], 0) # document not in recycle bin
# validate number of revisions
resp = document_service.get_document_revisions(document_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(len(resp['data']), 3)
revisions = [document['id'] for document in resp['data']]
self.assertIn(empty_revision_id, revisions)
self.assertIn(new_revision, revisions)
self.assertIn(newest_revision, revisions)
# delete document
resp = document_service.delete_document_revision(new_revision)
self.assertEqual(resp['meta']['status'], 200)
# validate document is deleted
resp = document_service.get_document_revisions(document_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(len(resp['data']), 2)
revisions = [document['id'] for document in resp['data']]
self.assertIn(empty_revision_id, revisions)
self.assertNotIn(new_revision, revisions)
self.assertIn(newest_revision, revisions)
# validate newest document is still newest_revision
resp = document_service.get_document(document_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['documentId'], document_id)
self.assertEqual(resp['data']['id'], newest_revision)
# delete document
resp = document_service.delete_document(newest_revision)
self.assertEqual(resp['meta']['status'], 200)
# validate document does not exist in VV
resp = document_service.get_document(document_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['archive'], 2) # document in recycle bin
def test_update_document_check_in_status(self):
"""
tests DocumentService.update_document_check_in_status
"""
document_service = DocumentService(self.vault)
# validate document checked in
resp = document_service.get_document(self.document_id)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['documentId'], self.document_id)
self.assertEqual(resp['data']['checkInStatus'], 0)
# check out document in VV
resp = document_service.update_document_check_in_status(self.document_id, 1)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['documentId'], self.document_id)
self.assertEqual(resp['data']['checkInStatus'], 1)
# check in document in VV
resp = document_service.update_document_check_in_status(self.document_id, 0)
self.assertEqual(resp['meta']['status'], 200)
self.assertEqual(resp['data']['documentId'], self.document_id)
self.assertEqual(resp['data']['checkInStatus'], 0)
| 45.271812
| 122
| 0.673708
| 1,538
| 13,491
| 5.645644
| 0.080624
| 0.126108
| 0.131291
| 0.079466
| 0.836001
| 0.802948
| 0.76287
| 0.726938
| 0.688817
| 0.671427
| 0
| 0.01112
| 0.206805
| 13,491
| 297
| 123
| 45.424242
| 0.800299
| 0.107924
| 0
| 0.645833
| 0
| 0
| 0.105407
| 0.0041
| 0
| 0
| 0
| 0.003367
| 0.432292
| 1
| 0.072917
| false
| 0
| 0.026042
| 0
| 0.109375
| 0
| 0
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| 0
| null | 0
| 0
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| 1
| 1
| 1
| 0
| 1
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
5b0cae180910d5d6bc22d6347143b88e1fea397f
| 175
|
py
|
Python
|
bpcs/__init__.py
|
BburnN123/bpcs
|
f53caede7e202ce07b51890f028b9caf73a22937
|
[
"MIT"
] | 20
|
2017-04-25T21:07:24.000Z
|
2022-03-30T11:11:47.000Z
|
bpcs/__init__.py
|
BburnN123/bpcs
|
f53caede7e202ce07b51890f028b9caf73a22937
|
[
"MIT"
] | 4
|
2016-04-06T01:19:27.000Z
|
2020-09-26T18:38:29.000Z
|
bpcs/__init__.py
|
BburnN123/bpcs
|
f53caede7e202ce07b51890f028b9caf73a22937
|
[
"MIT"
] | 12
|
2017-04-02T23:10:46.000Z
|
2022-03-21T03:43:55.000Z
|
from .bpcs_steg_decode import decode
from .bpcs_steg_encode import encode
from .bpcs_steg_capacity import capacity
from .bpcs_steg_test import test_all
__version__ = '0.0.2'
| 25
| 40
| 0.834286
| 29
| 175
| 4.586207
| 0.413793
| 0.240602
| 0.360902
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019355
| 0.114286
| 175
| 6
| 41
| 29.166667
| 0.83871
| 0
| 0
| 0
| 0
| 0
| 0.028571
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.8
| 0
| 0.8
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
d2d98bc9242b2421468d751d1aefc3b671a78266
| 46
|
py
|
Python
|
OP-GAN/box_generation/seq2seq/loss/__init__.py
|
ts170/OP-GAN
|
b9a6227aaa7befa2025ea1f07e62e7a7e9c7ce1e
|
[
"MIT"
] | 1
|
2021-08-25T02:36:02.000Z
|
2021-08-25T02:36:02.000Z
|
OP-GAN/box_generation/seq2seq/loss/__init__.py
|
ts170/OP-GAN
|
b9a6227aaa7befa2025ea1f07e62e7a7e9c7ce1e
|
[
"MIT"
] | null | null | null |
OP-GAN/box_generation/seq2seq/loss/__init__.py
|
ts170/OP-GAN
|
b9a6227aaa7befa2025ea1f07e62e7a7e9c7ce1e
|
[
"MIT"
] | null | null | null |
from .loss import NLLLoss, Perplexity, BBLoss
| 23
| 45
| 0.804348
| 6
| 46
| 6.166667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130435
| 46
| 1
| 46
| 46
| 0.925
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 1
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| 1
| 0
| null | 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
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| 1
| 0
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
82b349f86ba270454743263a3dc785c4e3019478
| 41
|
py
|
Python
|
tests/apimodels/__init__.py
|
j-000/ezresbackend
|
999e37dace994a50fdcd89724410e8dd77fe4f1b
|
[
"MIT"
] | null | null | null |
tests/apimodels/__init__.py
|
j-000/ezresbackend
|
999e37dace994a50fdcd89724410e8dd77fe4f1b
|
[
"MIT"
] | null | null | null |
tests/apimodels/__init__.py
|
j-000/ezresbackend
|
999e37dace994a50fdcd89724410e8dd77fe4f1b
|
[
"MIT"
] | null | null | null |
from .. import UserModel, db, DEVELOPMENT
| 41
| 41
| 0.780488
| 5
| 41
| 6.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121951
| 41
| 1
| 41
| 41
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
82c578a502c477220f79c30eaebac734c2436337
| 4,055
|
py
|
Python
|
build/blocks.py
|
fourpoints/plusMarkup
|
0b8ef4b871044c5bf83fa7f867bad953e938d603
|
[
"MIT"
] | 1
|
2017-07-10T18:26:15.000Z
|
2017-07-10T18:26:15.000Z
|
build/blocks.py
|
fourpoints/plusMarkup
|
0b8ef4b871044c5bf83fa7f867bad953e938d603
|
[
"MIT"
] | null | null | null |
build/blocks.py
|
fourpoints/plusMarkup
|
0b8ef4b871044c5bf83fa7f867bad953e938d603
|
[
"MIT"
] | null | null | null |
"""
Blocks
TODO:
* Avoid newline/indent on certain tags, like Blank/Pre: self.__class__.__name__ != "Pre" (necessary?)
* Fixed: () popped len(token) twice
"""
## +block
def indented_block(self):
print(f"Indent-dependent {self.tag} block started")
start_O_line = self.O.line_number
block_indent = self.I.indent_count + 1
if self.offset:
self.O.offset -= block_indent
#Opening block
self.opening_tag()
#Main block loop
while 1:
loop_line = self.I.line_number
index, token = self.next_token()
if index > 0:
self.O.indents(count = self.I.indent_count)
self.O.write(self.I.popto(index))
self.I.popto(len(token))
if token:
self.routine(token)
#refill line
if self.I.line == '':
try:
self.I.readline()
except:
break
#check if next line is in block
if loop_line != self.I.line_number:
if block_indent > self.I.indent_count:
break
else:
self.O.newline()
#check if preceding line was empty:
if self.I.empty_line:
self.I.empty_line = False
self.O.indents(count = 0)
self.O.newline()
#Closing block
if start_O_line != self.O.line_number:
self.O.newline()
self.O.indents(count = block_indent - 1)
self.closing_tag()
if self.offset:
self.O.offset += block_indent
## @wrapper:
def wrapping_block(self):
print(f"Wrapping {self.tag} block started")
start_O_line = self.O.line_number
block_indent = self.I.indent_count
if self.offset:
self.O.offset -= block_indent
#Opening block
self.opening_tag()
#Main block loop FIX
while 1:
loop_line = self.I.line_number
index, token = self.next_token()
if not token and index:
self.O.indents(count = self.I.indent_count)
self.O.write(self.I.popto(index))
self.I.popto(len(token))
if token:
self.routine(token)
#refill line
if self.I.line == '':
try:
self.I.readline()
except:
break
#check if next line is in block
if loop_line != self.I.line_number:
if block_indent > self.I.indent_count:
break
else:
self.O.newline()
#check if preceding line was empty:
if self.I.empty_line:
self.I.empty_line = False
self.O.indents(count = 0)
self.O.newline()
#Closing block
if start_O_line != self.O.line_number and self.__class__.__name__ != "Blank":
self.O.newline()
self.O.indents(count = block_indent)
self.closing_tag()
if self.offset:
self.O.offset += block_indent
## +block()
def bracketed_block(self):
print(f"Bracketed {self.tag} block started")
start_O_line = self.O.line_number
block_indent = self.I.indent_count
if self.offset:
self.O.offset -= block_indent
#Opening block
self.opening_tag()
#Main block loop FIX
level = 0 #number of brackets must match
while 1:
loop_line = self.I.line_number
index, token = self.next_token('(', ')')
if not token or token == '(' or token == ')':
#indent will be added in the token's routine, if needed
self.O.indents(count = self.I.indent_count)
self.O.write(self.I.popto(index))
self.I.popto(len(token))
if token == '(':
self.O.write('(')
level += 1
elif token == ')':
if level == 0:
break #end of block
self.O.write(')')
level -= 1
else:
if token:
self.routine(token)
if self.I.line.isspace() or self.I.line == '':
self.I.readline()
#refill line
if self.I.line == '':
try:
self.I.readline()
except:
break
#check if next line is in block REMOVE?! + indent_count??
if loop_line != self.I.line_number:
if block_indent > self.I.indent_count:
break
else:
self.O.newline()
#check if preceding line was empty:
if self.I.empty_line:
self.I.empty_line = False
self.O.indents(count = 0)
self.O.newline()
#Closing block
self.closing_tag()
if self.offset:
self.O.offset += block_indent
#Selfclosing pseudo-block
def selfclosing_block(self):
print(f"Selfclosing {self.tag} tag started")
self.opening_tag()
| 22.527778
| 102
| 0.645129
| 614
| 4,055
| 4.118893
| 0.140065
| 0.071174
| 0.039146
| 0.05694
| 0.785291
| 0.765125
| 0.765125
| 0.765125
| 0.765125
| 0.733492
| 0
| 0.00414
| 0.225647
| 4,055
| 179
| 103
| 22.653631
| 0.801274
| 0.167448
| 0
| 0.783333
| 0
| 0
| 0.04902
| 0
| 0
| 0
| 0
| 0.005587
| 0
| 1
| 0.033333
| false
| 0
| 0
| 0
| 0.033333
| 0.033333
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
7d9cfc3ab6417716a502297f4fac7ac368d2e7b2
| 5,250
|
py
|
Python
|
tests/test_winterbloom_voltageio.py
|
theacodes/Winterbloom_VoltageIO
|
91af1043d5c1ac7a2bd863bc71a83779017efb47
|
[
"MIT"
] | 2
|
2020-01-14T00:09:01.000Z
|
2020-01-30T02:24:49.000Z
|
tests/test_winterbloom_voltageio.py
|
theacodes/Winterbloom_VoltageIO
|
91af1043d5c1ac7a2bd863bc71a83779017efb47
|
[
"MIT"
] | null | null | null |
tests/test_winterbloom_voltageio.py
|
theacodes/Winterbloom_VoltageIO
|
91af1043d5c1ac7a2bd863bc71a83779017efb47
|
[
"MIT"
] | null | null | null |
# Copyright (c) 2019 Alethea Flowers for Winterbloom
# Licensed under the MIT License
import math
import pytest
import winterbloom_voltageio
@pytest.mark.parametrize(
("target", "expected"),
[
(-1, (0, 0)),
(0, (0, 1)),
(1, (1, 2)),
(4, (4, 5)),
(5, (5, 5)),
(0.2, (0, 1)),
(4.5, (4, 5)),
(5.1, (5, 5)),
]
)
def test__take_nearest_pair_integral(target, expected):
assert winterbloom_voltageio._take_nearest_pair(
[0, 1, 2, 3, 4, 5],
target
) == expected
@pytest.mark.parametrize(
("target", "expected"),
[
(-6, (-5, -5)),
(-5, (-5, -4)),
(-1, (-1, 0)),
(0, (0, 1)),
(1, (1, 2)),
(5, (5, 5)),
(6, (5, 5)),
(-0.2, (-1, 0)),
(-4.5, (-5, -4)),
(-5.1, (-5, -5)),
]
)
def test__take_nearest_pair_integral_bipolar(target, expected):
assert winterbloom_voltageio._take_nearest_pair(
[-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5],
target
) == expected
@pytest.mark.parametrize(
("target", "expected"),
[
(-1, (0, 0)),
(0, (0, 0.2)),
(0.2, (0.2, 1.8)),
(5.3, (5.3, 5.3)),
(10, (5.3, 5.3)),
(4.5, (4.1, 5.3)),
(2.1, (1.8, 2.3)),
]
)
def test__take_nearest_pair_fractional(target, expected):
assert winterbloom_voltageio._take_nearest_pair(
[0, 0.2, 1.8, 2.3, 3.9, 4.1, 5.3],
target
) == expected
class AnalogOut:
def __init__(self):
self.value = 0
@pytest.mark.parametrize(
("voltage", "value"),
[
(0, 0),
(0.25, 16384),
(0.5, 32768),
(0.75, 49151),
(1.0, 65535),
(2.0, 65535),
]
)
def test_out_linear_calibration_normalized(voltage, value):
analog_out = AnalogOut()
voltage_out = winterbloom_voltageio.VoltageOut(analog_out)
voltage_out.linear_calibration(0.0, 1.0)
voltage_out.voltage = voltage
assert analog_out.value == value
@pytest.mark.parametrize(
("voltage", "value"),
[
# 0%
(0, 0),
# 25%
(0.825, 16384),
# 50%
(1.65, 32768),
# 75%,
(2.475, 49151),
# 100%
(3.3, 65535),
(4.0, 65535),
]
)
def test_out_linear_calibration_real_range(voltage, value):
analog_out = AnalogOut()
voltage_out = winterbloom_voltageio.VoltageOut(analog_out)
voltage_out.linear_calibration(0.0, 3.3)
voltage_out.voltage = voltage
assert analog_out.value == value
@pytest.mark.parametrize(
("voltage", "value"),
[
(-1.0, 0),
(-0.5, 0),
(-0.25, 16384),
(0, 32768),
(0.25, 49151),
(0.5, 65535),
(1.0, 65535),
]
)
def test_out_linear_calibration_bipolar(voltage, value):
analog_out = AnalogOut()
voltage_out = winterbloom_voltageio.VoltageOut(analog_out)
voltage_out.linear_calibration(-0.5, 0.5)
voltage_out.voltage = voltage
assert analog_out.value == value
@pytest.mark.parametrize(
("voltage", "value"),
[
(0, 0),
(0.5, 16384),
(1.0, 32768),
(5.5, 49152),
(10, 65535),
(11, 65535),
]
)
def test_out_direct_calibration(voltage, value):
analog_out = AnalogOut()
voltage_out = winterbloom_voltageio.VoltageOut(analog_out)
# Very non-linear. The first volt takes up half of the range.
voltage_out.direct_calibration({
0: 0,
1.0: 32768,
10: 65535,
})
voltage_out.voltage = voltage
assert analog_out.value == value
class AnalogIn:
def __init__(self):
self.value = 0
@pytest.mark.parametrize(
("voltage", "value"),
[
(0, 0),
(0.25, 16384),
(0.5, 32768),
(0.75, 49151),
(1.0, 65535),
]
)
def test_in_linear_calibration_normalized(voltage, value):
analog_in = AnalogIn()
voltage_in = winterbloom_voltageio.VoltageIn(analog_in)
voltage_in.linear_calibration(0.0, 1.0)
analog_in.value = value
assert math.isclose(voltage_in.voltage, voltage, rel_tol=1e-4)
@pytest.mark.parametrize(
("voltage", "value"),
[
# 0%
(0, 0),
# 25%
(0.825, 16384),
# 50%
(1.65, 32768),
# 75%,
(2.475, 49151),
# 100%
(3.3, 65535),
]
)
def test_in_linear_calibration_real_range(voltage, value):
analog_in = AnalogIn()
voltage_in = winterbloom_voltageio.VoltageIn(analog_in)
voltage_in.linear_calibration(0.0, 3.3)
analog_in.value = value
assert math.isclose(voltage_in.voltage, voltage, rel_tol=1e-4)
@pytest.mark.parametrize(
("voltage", "value"),
[
(0, 0),
(0.5, 16384),
(1.0, 32768),
(5.5, 49152),
(10, 65535),
]
)
def test_in_direct_calibration(voltage, value):
analog_in = AnalogIn()
voltage_in = winterbloom_voltageio.VoltageIn(analog_in)
# Very non-linear. The first volt takes up half of the range.
voltage_in.direct_calibration({
0: 0,
32768: 1.0,
65535: 10,
})
analog_in.value = value
assert math.isclose(voltage_in.voltage, voltage, rel_tol=1e-4)
| 21.169355
| 66
| 0.543048
| 673
| 5,250
| 4.052006
| 0.121843
| 0.022736
| 0.014301
| 0.071874
| 0.861386
| 0.831316
| 0.808214
| 0.755042
| 0.734873
| 0.676201
| 0
| 0.12635
| 0.294476
| 5,250
| 247
| 67
| 21.255061
| 0.609881
| 0.046286
| 0
| 0.550265
| 0
| 0
| 0.02524
| 0
| 0
| 0
| 0
| 0
| 0.05291
| 1
| 0.063492
| false
| 0
| 0.015873
| 0
| 0.089947
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
816ecbe5f5afa761ad15a2740c6d39c914861c24
| 13,296
|
py
|
Python
|
migration/test/test_migrate_environment_up.py
|
xypnox/Submitty
|
6f858e0891e610f9b6ebcb716ee135c7a6b57407
|
[
"BSD-3-Clause"
] | null | null | null |
migration/test/test_migrate_environment_up.py
|
xypnox/Submitty
|
6f858e0891e610f9b6ebcb716ee135c7a6b57407
|
[
"BSD-3-Clause"
] | null | null | null |
migration/test/test_migrate_environment_up.py
|
xypnox/Submitty
|
6f858e0891e610f9b6ebcb716ee135c7a6b57407
|
[
"BSD-3-Clause"
] | null | null | null |
from argparse import Namespace
from io import StringIO
from pathlib import Path
import shutil
import sys
import tempfile
from types import SimpleNamespace
import unittest
from .helpers import create_migration
import migrator
class TestMigrateEnvironmentUp(unittest.TestCase):
def setUp(self):
self.stdout = sys.stdout
sys.stdout = StringIO()
self.dir = tempfile.mkdtemp()
self.old_migrations_path = migrator.MIGRATIONS_PATH
migrator.MIGRATIONS_PATH = Path(self.dir)
def tearDown(self):
sys.stdout = self.stdout
shutil.rmtree(self.dir)
migrator.MIGRATIONS_PATH = self.old_migrations_path
def setup_test(self, environment):
Path(self.dir, environment).mkdir()
self.database = migrator.db.Database({'database_driver': 'sqlite'}, environment)
self.database.DynamicBase.metadata.create_all(self.database.engine)
def test_migrate_system(self):
environment = 'system'
self.setup_test(environment)
args = Namespace()
args.direction = 'up'
args.initial = False
args.single = False
args.config = None
create_migration(None, self.dir, environment, '01_test1.py', 0)
create_migration(None, self.dir, environment, '02_test1.py', 0)
migrator.main.migrate_environment(self.database, environment, args)
self.assertEqual("""Running up migrations for system... 01_test1
02_test1
DONE
""", sys.stdout.getvalue())
rows = self.database.session.query(self.database.migration_table).all()
expected_rows = ['01_test1', '02_test1']
self.assertEqual(len(rows), len(expected_rows))
for i in range(len(rows)):
row = rows[i]
self.assertEqual(expected_rows[i], row.id)
self.assertEqual(1, row.status)
self.assertIsNotNone(row.commit_time)
self.assertTrue(Path(self.dir, expected_rows[i] + '.py.up.txt').exists())
def test_migrate_master(self):
environment = 'master'
self.setup_test(environment)
args = Namespace()
args.direction = 'up'
args.initial = False
args.single = False
args.config = None
create_migration(self.database, self.dir, environment, '01_test2.py', 0)
create_migration(self.database, self.dir, environment, '02_test2.py', 0)
migrator.main.migrate_environment(self.database, environment, args)
self.assertEqual("""Running up migrations for master... 01_test2
02_test2
DONE
""", sys.stdout.getvalue())
rows = self.database.session.query(self.database.migration_table).all()
expected_rows = ['01_test2', '02_test2']
self.assertEqual(len(rows), len(expected_rows))
for i in range(len(rows)):
row = rows[i]
self.assertEqual(expected_rows[i], row.id)
self.assertEqual(1, row.status)
self.assertIsNotNone(row.commit_time)
self.assertTrue(Path(self.dir, expected_rows[i] + '.py.up.txt').exists())
def test_migrate_course(self):
environment = 'course'
self.setup_test(environment)
args = Namespace()
args.direction = 'up'
args.initial = False
args.single = False
args.semester = 'f18'
args.course = 'csci1100'
args.config = None
create_migration(self.database, self.dir, environment, '01_test3.py', 0)
create_migration(self.database, self.dir, environment, '02_test3.py', 0)
migrator.main.migrate_environment(self.database, environment, args)
self.assertEqual("""Running up migrations for f18.csci1100... 01_test3
02_test3
DONE
""", sys.stdout.getvalue())
rows = self.database.session.query(self.database.migration_table).all()
expected_rows = ['01_test3', '02_test3']
self.assertEqual(len(rows), len(expected_rows))
for i in range(len(rows)):
row = rows[i]
self.assertEqual(expected_rows[i], row.id)
self.assertEqual(1, row.status)
self.assertIsNotNone(row.commit_time)
self.assertTrue(Path(self.dir, expected_rows[i] + '.py.up.txt').exists())
def test_missing_migration(self):
environment = 'master'
self.setup_test(environment)
args = Namespace()
args.direction = 'up'
args.single = False
args.initial = False
args.config = SimpleNamespace()
install_path = Path(self.dir, 'install')
Path(install_path, 'migrations', environment).mkdir(parents=True)
args.config.submitty = {
'submitty_install_dir': str(install_path)
}
missing_migration = Path(install_path, 'migrations', environment, '02_test4.py')
with missing_migration.open('w') as open_file:
open_file.write("""
from pathlib import Path
INSTALL_PATH = "{}"
def down(*_):
with Path(INSTALL_PATH, 'test.txt').open('w') as open_file:
open_file.write('test')
""".format(install_path))
create_migration(self.database, self.dir, environment, '01_test4.py', 1)
create_migration(self.database, self.dir, environment, '02_test4.py', 1, False)
create_migration(self.database, self.dir, environment, '03_test4.py', 0)
create_migration(self.database, self.dir, environment, '04_test4.py', 0)
migrator.main.migrate_environment(self.database, environment, args)
self.assertEqual("""Running up migrations for master...
Removing 1 missing migrations:
02_test4
03_test4
04_test4
DONE
""", sys.stdout.getvalue())
rows = self.database.session.query(self.database.migration_table).all()
expected_rows = ['01_test4', '03_test4', '04_test4']
self.assertEqual(len(rows), len(expected_rows))
for i in range(len(rows)):
row = rows[i]
self.assertEqual(expected_rows[i], row.id)
self.assertEqual(1, row.status)
self.assertIsNotNone(row.commit_time)
up_file = expected_rows[i] + '.py.up.txt'
if i > 0:
self.assertTrue(Path(self.dir, up_file).exists())
else:
self.assertFalse(Path(self.dir, up_file).exists())
self.assertFalse(missing_migration.exists())
self.assertTrue(Path(install_path, 'test.txt').exists())
def test_missing_migration_no_file(self):
environment = 'master'
self.setup_test(environment)
args = Namespace()
args.direction = 'up'
args.single = False
args.initial = False
args.config = SimpleNamespace()
install_path = Path(self.dir, 'install')
Path(install_path, 'migrations', environment).mkdir(parents=True)
args.config.submitty = {
'submitty_install_dir': str(install_path)
}
create_migration(self.database, self.dir, environment, '01_test5.py', 1)
create_migration(self.database, self.dir, environment, '02_test5.py', 1, False)
create_migration(self.database, self.dir, environment, '03_test5.py', 0)
create_migration(self.database, self.dir, environment, '04_test5.py', 0)
migrator.main.migrate_environment(self.database, environment, args)
self.assertEqual("""Running up migrations for master...
Removing 1 missing migrations:
02_test5
03_test5
04_test5
DONE
""", sys.stdout.getvalue())
rows = self.database.session.query(self.database.migration_table).all()
expected_rows = ['01_test5', '03_test5', '04_test5']
self.assertEqual(len(rows), len(expected_rows))
for i in range(len(rows)):
row = rows[i]
self.assertEqual(expected_rows[i], row.id)
self.assertEqual(1, row.status)
self.assertIsNotNone(row.commit_time)
up_file = expected_rows[i] + '.py.up.txt'
if i > 0:
self.assertTrue(Path(self.dir, up_file).exists())
else:
self.assertFalse(Path(self.dir, up_file).exists())
def test_fake_migrations(self):
environment = 'master'
self.setup_test(environment)
args = Namespace()
args.direction = 'up'
args.set_fake = True
args.single = False
args.initial = False
args.config = None
create_migration(self.database, self.dir, environment, '01_test6.py', 1)
create_migration(self.database, self.dir, environment, '02_test6.py', 0)
create_migration(self.database, self.dir, environment, '03_test6.py', 0)
migrator.main.migrate_environment(self.database, environment, args)
self.assertEqual("""Running up migrations for master... 02_test6 (FAKE)
03_test6 (FAKE)
DONE
""", sys.stdout.getvalue())
rows = self.database.session.query(self.database.migration_table).all()
expected_rows = ['01_test6', '02_test6', '03_test6']
self.assertEqual(len(rows), len(expected_rows))
for i in range(len(rows)):
row = rows[i]
self.assertEqual(expected_rows[i], row.id)
self.assertEqual(1, row.status)
self.assertIsNotNone(row.commit_time)
up_file = expected_rows[i] + '.py.up.txt'
self.assertFalse(Path(self.dir, up_file).exists())
def test_single_migration(self):
environment = 'master'
self.setup_test(environment)
args = Namespace()
args.direction = 'up'
args.single = True
args.initial = False
args.config = None
create_migration(self.database, self.dir, environment, '01_test7.py', 1)
create_migration(self.database, self.dir, environment, '02_test7.py', 0)
create_migration(self.database, self.dir, environment, '03_test7.py', 0)
migrator.main.migrate_environment(self.database, environment, args)
self.assertEqual("""Running up migrations for master... 02_test7
DONE
""", sys.stdout.getvalue())
rows = self.database.session.query(self.database.migration_table).all()
expected_rows = ['01_test7', '02_test7', '03_test7']
self.assertEqual(len(rows), len(expected_rows))
for i in range(len(rows)):
row = rows[i]
self.assertEqual(expected_rows[i], row.id)
self.assertEqual(1 if i < 2 else 0, row.status)
self.assertIsNotNone(row.commit_time)
up_file = expected_rows[i] + '.py.up.txt'
if i == 1:
self.assertTrue(Path(self.dir, up_file).exists())
else:
self.assertFalse(Path(self.dir, up_file).exists())
def test_single_fake_migration(self):
environment = 'master'
self.setup_test(environment)
args = Namespace()
args.direction = 'up'
args.set_fake = True
args.single = True
args.initial = False
args.config = None
create_migration(self.database, self.dir, environment, '01_test8.py', 1)
create_migration(self.database, self.dir, environment, '02_test8.py', 0)
create_migration(self.database, self.dir, environment, '03_test8.py', 0)
migrator.main.migrate_environment(self.database, environment, args)
self.assertEqual("""Running up migrations for master... 02_test8 (FAKE)
DONE
""", sys.stdout.getvalue())
rows = self.database.session.query(self.database.migration_table).all()
expected_rows = ['01_test8', '02_test8', '03_test8']
self.assertEqual(len(rows), len(expected_rows))
for i in range(len(rows)):
row = rows[i]
self.assertEqual(expected_rows[i], row.id)
self.assertEqual(1 if i < 2 else 0, row.status)
self.assertIsNotNone(row.commit_time)
up_file = expected_rows[i] + '.py.up.txt'
self.assertFalse(Path(self.dir, up_file).exists())
def test_initial_migration(self):
environment = 'master'
self.setup_test(environment)
args = Namespace()
args.direction = 'up'
args.single = False
args.initial = True
args.config = None
create_migration(self.database, self.dir, environment, '01_test9.py', 0)
create_migration(self.database, self.dir, environment, '02_test9.py', 0)
create_migration(self.database, self.dir, environment, '03_test9.py', 0)
migrator.main.migrate_environment(self.database, environment, args)
self.assertEqual("""Running up migrations for master...
01_test9
02_test9 (FAKE)
03_test9 (FAKE)
DONE
""", sys.stdout.getvalue())
rows = self.database.session.query(self.database.migration_table).all()
expected_rows = ['01_test9', '02_test9', '03_test9']
self.assertEqual(len(rows), len(expected_rows))
for i in range(len(rows)):
row = rows[i]
self.assertEqual(expected_rows[i], row.id)
self.assertEqual(1, row.status)
self.assertIsNotNone(row.commit_time)
up_file = expected_rows[i] + '.py.up.txt'
if i == 0:
self.assertTrue(Path(self.dir, up_file).exists())
else:
self.assertFalse(Path(self.dir, up_file).exists())
if __name__ == '__main__':
unittest.main()
| 40.048193
| 88
| 0.636282
| 1,613
| 13,296
| 5.090515
| 0.074396
| 0.078919
| 0.059189
| 0.078919
| 0.847765
| 0.822068
| 0.810133
| 0.810133
| 0.802704
| 0.802704
| 0
| 0.026438
| 0.240448
| 13,296
| 331
| 89
| 40.169184
| 0.786613
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| 0.64
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| 0.121916
| 0.003309
| 0
| 0
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| 0
| 0.2
| 1
| 0.04
| false
| 0
| 0.036667
| 0
| 0.08
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
81abc9407002a109a22755547f97734ff4574488
| 44
|
py
|
Python
|
Pluto/Libraries/GLM/__init__.py
|
n8vm/Foton
|
eacec2de9bf53d8fecff387b60604e6227baea28
|
[
"MIT"
] | 10
|
2019-12-16T18:04:48.000Z
|
2021-05-06T00:40:11.000Z
|
Pluto/Libraries/GLM/__init__.py
|
natevm/Foton
|
eacec2de9bf53d8fecff387b60604e6227baea28
|
[
"MIT"
] | 35
|
2019-01-29T21:57:44.000Z
|
2019-04-29T02:40:20.000Z
|
Pluto/Libraries/GLM/__init__.py
|
natevm/Foton
|
eacec2de9bf53d8fecff387b60604e6227baea28
|
[
"MIT"
] | 1
|
2019-01-19T22:34:00.000Z
|
2019-01-19T22:34:00.000Z
|
from Pluto.Libraries.Libraries.GLM import *
| 22
| 43
| 0.818182
| 6
| 44
| 6
| 0.833333
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
| 0.090909
| 44
| 1
| 44
| 44
| 0.9
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| 0
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| 0
| 1
| 0
| true
| 0
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| 1
| 0
| 1
| 1
| 0
| null | 0
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| 0
| 0
| 0
| 0
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| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
c4a070e911c6345d60b07ab969e9daf914b32beb
| 7,797
|
py
|
Python
|
pi_vision/pi_face_tracker/src/pi_face_tracker/srv/_SetROI.py
|
openrobotics/openrobotics_thunderbot
|
b3cee7f29a5e41dd162e72b876d66a10a6e5135b
|
[
"MIT"
] | 1
|
2015-01-23T21:03:47.000Z
|
2015-01-23T21:03:47.000Z
|
pi_vision/pi_face_tracker/src/pi_face_tracker/srv/_SetROI.py
|
openrobotics/openrobotics_thunderbot
|
b3cee7f29a5e41dd162e72b876d66a10a6e5135b
|
[
"MIT"
] | null | null | null |
pi_vision/pi_face_tracker/src/pi_face_tracker/srv/_SetROI.py
|
openrobotics/openrobotics_thunderbot
|
b3cee7f29a5e41dd162e72b876d66a10a6e5135b
|
[
"MIT"
] | null | null | null |
"""autogenerated by genpy from pi_face_tracker/SetROIRequest.msg. Do not edit."""
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
import sensor_msgs.msg
class SetROIRequest(genpy.Message):
_md5sum = "9586986cb2458d45fdbda6087252affd"
_type = "pi_face_tracker/SetROIRequest"
_has_header = False #flag to mark the presence of a Header object
_full_text = """sensor_msgs/RegionOfInterest roi
================================================================================
MSG: sensor_msgs/RegionOfInterest
# This message is used to specify a region of interest within an image.
#
# When used to specify the ROI setting of the camera when the image was
# taken, the height and width fields should either match the height and
# width fields for the associated image; or height = width = 0
# indicates that the full resolution image was captured.
uint32 x_offset # Leftmost pixel of the ROI
# (0 if the ROI includes the left edge of the image)
uint32 y_offset # Topmost pixel of the ROI
# (0 if the ROI includes the top edge of the image)
uint32 height # Height of ROI
uint32 width # Width of ROI
# True if a distinct rectified ROI should be calculated from the "raw"
# ROI in this message. Typically this should be False if the full image
# is captured (ROI not used), and True if a subwindow is captured (ROI
# used).
bool do_rectify
"""
__slots__ = ['roi']
_slot_types = ['sensor_msgs/RegionOfInterest']
def __init__(self, *args, **kwds):
"""
Constructor. Any message fields that are implicitly/explicitly
set to None will be assigned a default value. The recommend
use is keyword arguments as this is more robust to future message
changes. You cannot mix in-order arguments and keyword arguments.
The available fields are:
roi
:param args: complete set of field values, in .msg order
:param kwds: use keyword arguments corresponding to message field names
to set specific fields.
"""
if args or kwds:
super(SetROIRequest, self).__init__(*args, **kwds)
#message fields cannot be None, assign default values for those that are
if self.roi is None:
self.roi = sensor_msgs.msg.RegionOfInterest()
else:
self.roi = sensor_msgs.msg.RegionOfInterest()
def _get_types(self):
"""
internal API method
"""
return self._slot_types
def serialize(self, buff):
"""
serialize message into buffer
:param buff: buffer, ``StringIO``
"""
try:
_x = self
buff.write(_struct_4IB.pack(_x.roi.x_offset, _x.roi.y_offset, _x.roi.height, _x.roi.width, _x.roi.do_rectify))
except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(_x))))
except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(_x))))
def deserialize(self, str):
"""
unpack serialized message in str into this message instance
:param str: byte array of serialized message, ``str``
"""
try:
if self.roi is None:
self.roi = sensor_msgs.msg.RegionOfInterest()
end = 0
_x = self
start = end
end += 17
(_x.roi.x_offset, _x.roi.y_offset, _x.roi.height, _x.roi.width, _x.roi.do_rectify,) = _struct_4IB.unpack(str[start:end])
self.roi.do_rectify = bool(self.roi.do_rectify)
return self
except struct.error as e:
raise genpy.DeserializationError(e) #most likely buffer underfill
def serialize_numpy(self, buff, numpy):
"""
serialize message with numpy array types into buffer
:param buff: buffer, ``StringIO``
:param numpy: numpy python module
"""
try:
_x = self
buff.write(_struct_4IB.pack(_x.roi.x_offset, _x.roi.y_offset, _x.roi.height, _x.roi.width, _x.roi.do_rectify))
except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(_x))))
except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(_x))))
def deserialize_numpy(self, str, numpy):
"""
unpack serialized message in str into this message instance using numpy for array types
:param str: byte array of serialized message, ``str``
:param numpy: numpy python module
"""
try:
if self.roi is None:
self.roi = sensor_msgs.msg.RegionOfInterest()
end = 0
_x = self
start = end
end += 17
(_x.roi.x_offset, _x.roi.y_offset, _x.roi.height, _x.roi.width, _x.roi.do_rectify,) = _struct_4IB.unpack(str[start:end])
self.roi.do_rectify = bool(self.roi.do_rectify)
return self
except struct.error as e:
raise genpy.DeserializationError(e) #most likely buffer underfill
_struct_I = genpy.struct_I
_struct_4IB = struct.Struct("<4IB")
"""autogenerated by genpy from pi_face_tracker/SetROIResponse.msg. Do not edit."""
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
class SetROIResponse(genpy.Message):
_md5sum = "d41d8cd98f00b204e9800998ecf8427e"
_type = "pi_face_tracker/SetROIResponse"
_has_header = False #flag to mark the presence of a Header object
_full_text = """
"""
__slots__ = []
_slot_types = []
def __init__(self, *args, **kwds):
"""
Constructor. Any message fields that are implicitly/explicitly
set to None will be assigned a default value. The recommend
use is keyword arguments as this is more robust to future message
changes. You cannot mix in-order arguments and keyword arguments.
The available fields are:
:param args: complete set of field values, in .msg order
:param kwds: use keyword arguments corresponding to message field names
to set specific fields.
"""
if args or kwds:
super(SetROIResponse, self).__init__(*args, **kwds)
def _get_types(self):
"""
internal API method
"""
return self._slot_types
def serialize(self, buff):
"""
serialize message into buffer
:param buff: buffer, ``StringIO``
"""
try:
pass
except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(_x))))
except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(_x))))
def deserialize(self, str):
"""
unpack serialized message in str into this message instance
:param str: byte array of serialized message, ``str``
"""
try:
end = 0
return self
except struct.error as e:
raise genpy.DeserializationError(e) #most likely buffer underfill
def serialize_numpy(self, buff, numpy):
"""
serialize message with numpy array types into buffer
:param buff: buffer, ``StringIO``
:param numpy: numpy python module
"""
try:
pass
except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(_x))))
except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(_x))))
def deserialize_numpy(self, str, numpy):
"""
unpack serialized message in str into this message instance using numpy for array types
:param str: byte array of serialized message, ``str``
:param numpy: numpy python module
"""
try:
end = 0
return self
except struct.error as e:
raise genpy.DeserializationError(e) #most likely buffer underfill
_struct_I = genpy.struct_I
class SetROI(object):
_type = 'pi_face_tracker/SetROI'
_md5sum = '9586986cb2458d45fdbda6087252affd'
_request_class = SetROIRequest
_response_class = SetROIResponse
| 34.964126
| 126
| 0.674747
| 1,089
| 7,797
| 4.685032
| 0.171717
| 0.01568
| 0.01568
| 0.029792
| 0.78185
| 0.764994
| 0.757938
| 0.743434
| 0.743434
| 0.743434
| 0
| 0.017761
| 0.212902
| 7,797
| 222
| 127
| 35.121622
| 0.81359
| 0.284981
| 0
| 0.674603
| 1
| 0
| 0.278281
| 0.065716
| 0
| 0
| 0.003854
| 0
| 0
| 1
| 0.095238
| false
| 0.015873
| 0.055556
| 0
| 0.349206
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
c4d8d1b2889ae52acc9b000629e3d6c7c7592c2b
| 9,556
|
py
|
Python
|
restapi/app/routes/answer.py
|
ninjadotorg/KPI
|
430617a1e85304a254cc7364d524d721b8d45b11
|
[
"MIT"
] | 2
|
2020-06-30T18:03:12.000Z
|
2021-09-02T11:31:59.000Z
|
restapi/app/routes/answer.py
|
ninjadotorg/KPI
|
430617a1e85304a254cc7364d524d721b8d45b11
|
[
"MIT"
] | 10
|
2020-09-05T23:29:52.000Z
|
2022-03-11T23:36:59.000Z
|
restapi/app/routes/answer.py
|
ninjadotorg/KPI
|
430617a1e85304a254cc7364d524d721b8d45b11
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
import os
import sys
import hashlib
import json
import app.constants as CONST
import logging
import app.bl.answer as answer_bl
import app.bl.people as people_bl
from flask import Blueprint, request, g
from app import db
from datetime import datetime
from sqlalchemy import and_, func
from app.models import Rating, Comment, User, ReviewType, Question, Team, Company
from app.helpers.message import MESSAGE, CODE
from app.helpers.decorators import admin_required
from app.helpers.response import response_ok, response_error
from flask_jwt_extended import jwt_required, get_jwt_identity
answer_routes = Blueprint('answer', __name__)
logfile = logging.getLogger('file')
@answer_routes.route('/submit', methods=['POST'])
@jwt_required
def submit_answer():
try:
current_user = get_jwt_identity()
user = db.session.query(User).filter(User.email==func.binary(current_user)).first()
if user is None:
return response_error(MESSAGE.USER_INVALID_EMAIL, CODE.USER_INVALID_EMAIL)
data = request.json
if data is None:
return response_error(MESSAGE.INVALID_DATA, CODE.INVALID_DATA)
review_type = request.args.get('type', '')
object_id = request.args.get('id', -1)
if len(review_type) == 0 or \
object_id == -1:
return response_error(MESSAGE.ANSWER_INVALID_INPUT, CODE.ANSWER_INVALID_INPUT)
result = answer_bl.is_valid_object_id(review_type, object_id)
if result is None:
return response_error(MESSAGE.ANSWER_INVALID_INPUT, CODE.ANSWER_INVALID_INPUT)
rt = db.session.query(ReviewType).filter(ReviewType.name==func.binary(review_type)).first()
ratings = data['ratings']
if ratings is not None:
for r in ratings:
if answer_bl.is_answer_question(user.id, review_type, object_id, r['question_id']):
return response_error(MESSAGE.ANSWER_QUESTION_ALREADY, CODE.ANSWER_QUESTION_ALREADY)
rating = Rating(
point=r['rating'],
question_id=r['question_id'],
object_id=object_id,
user_id=user.id
)
db.session.add(rating)
db.session.flush()
comment = r['comment']
if comment is not None:
c = Comment(
desc=comment,
rating_id=rating.id
)
db.session.add(c)
db.session.flush()
else:
return response_error(MESSAGE.ANSWER_INVALID_INPUT, CODE.ANSWER_INVALID_INPUT)
if review_type == CONST.Type['People']:
user = User.find_user_by_id(object_id)
if user is not None:
user.rating_count = people_bl.count_rating_for_object(user, CONST.Type['People'])
user.comment_count = people_bl.count_comments_for_object(user, CONST.Type['People'])
db.session.flush()
elif review_type == CONST.Type['Team']:
team = Team.find_team_by_id(object_id)
if team is not None:
team.rating_count = people_bl.count_rating_for_object(team, CONST.Type['Team'])
team.comment_count = people_bl.count_comments_for_object(team, CONST.Type['Team'])
db.session.flush()
elif review_type == CONST.Type['Company']:
company = Company.find_company_by_id(object_id)
if company is not None:
company.rating_count = people_bl.count_rating_for_object(company, CONST.Type['Company'])
company.comment_count = people_bl.count_comments_for_object(company, CONST.Type['Company'])
db.session.flush()
db.session.commit()
return response_ok()
except Exception, ex:
db.session.rollback()
return response_error(ex.message)
@answer_routes.route('/view', methods=['GET'])
@jwt_required
def view_answer():
try:
current_user = get_jwt_identity()
user = db.session.query(User).filter(User.email==func.binary(current_user)).first()
if user is None:
return response_error(MESSAGE.USER_INVALID_EMAIL, CODE.USER_INVALID_EMAIL)
review_type = request.args.get('type', '')
object_id = request.args.get('id', -1)
if len(review_type) == 0 or \
object_id == -1:
return response_error(MESSAGE.ANSWER_INVALID_INPUT, CODE.ANSWER_INVALID_INPUT)
result = answer_bl.is_valid_object_id(review_type, object_id)
if result is None:
return response_error(MESSAGE.ANSWER_INVALID_INPUT, CODE.ANSWER_INVALID_INPUT)
rt = db.session.query(ReviewType).filter(ReviewType.name==func.binary(review_type)).first()
response = {}
# get all ratings
ratings = db.session.query(Question.name, Question.id, func.avg(Rating.point).label('average'))\
.filter(and_(Rating.object_id==object_id, Rating.question_id.in_(db.session.query(Question.id).filter(Question.type_id==rt.id)))) \
.filter(Question.id==Rating.question_id) \
.group_by(Question.name, Question.id) \
.all()
rs = []
for r in ratings:
data = {
"id": r.id,
"name": r.name,
"average": r.average
}
comments = db.session.query(Comment).filter(Comment.rating_id.in_(db.session.query(Rating.id).filter(Rating.question_id==r.id, Rating.object_id==object_id))).limit(5).all()
tmp = []
for c in comments:
cjson = c.to_json()
if c.rating.user is not None:
if user.role_id == 1:
cjson['user'] = c.rating.user.to_json()
else:
ujson = {
'name': hashlib.md5('{}{}{}'.format(c.rating.user.email, g.PASSPHASE, object_id)).hexdigest()[:6]
}
cjson['user'] = ujson
else:
cjson['user'] = None
cjson['point'] = c.rating.point
tmp.append(cjson)
data['comments'] = tmp
rs.append(data)
response['ratings'] = rs
response['first_review'] = 1 if len(ratings) == 0 else 0
response['reviewed_object'] = result.to_json()
return response_ok(response)
except Exception, ex:
return response_error(ex.message)
@answer_routes.route('/view-detail', methods=['GET'])
@jwt_required
def view_detail():
"""
" view all ratings and comments of user with question id
"""
try:
current_user = get_jwt_identity()
user = db.session.query(User).filter(User.email==func.binary(current_user)).first()
if user is None:
return response_error(MESSAGE.USER_INVALID_EMAIL, CODE.USER_INVALID_EMAIL)
review_type = request.args.get('type', '')
question_id = request.args.get('question_id', -1)
object_id = request.args.get('id', -1)
if question_id == -1 or \
object_id == -1:
return response_error(MESSAGE.ANSWER_INVALID_QUESTION_ID, CODE.ANSWER_INVALID_QUESTION_ID)
result = answer_bl.is_valid_object_id(review_type, object_id)
if result is None:
return response_error(MESSAGE.ANSWER_INVALID_INPUT, CODE.ANSWER_INVALID_INPUT)
rt = db.session.query(ReviewType).filter(ReviewType.name==func.binary(review_type)).first()
response = {}
# get all ratings
r = db.session.query(Question.name, Question.id, func.avg(Rating.point).label('average'))\
.filter(and_(Rating.object_id==object_id, Rating.question_id.in_(db.session.query(Question.id).filter(Question.type_id==rt.id)))) \
.filter(Question.id==question_id) \
.filter(Question.id==Rating.question_id) \
.group_by(Question.name, Question.id) \
.first()
data = {
"id": r.id,
"name": r.name,
"average": r.average
}
comments = db.session.query(Comment).filter(Comment.rating_id.in_(db.session.query(Rating.id).filter(Rating.question_id==r.id, Rating.object_id==object_id))).all()
tmp = []
for c in comments:
cjson = c.to_json()
if c.rating.user is not None:
if user.role_id == 1:
cjson['user'] = c.rating.user.to_json()
else:
ujson = {
'name': hashlib.md5('{}{}{}'.format(c.rating.user.email, g.PASSPHASE, object_id)).hexdigest()[:6]
}
cjson['user'] = ujson
else:
cjson['user'] = None
cjson['point'] = c.rating.point
tmp.append(cjson)
data['comments'] = tmp
response['ratings'] = data
response['reviewed_object'] = result.to_json()
return response_ok(response)
except Exception, ex:
return response_error(ex.message)
@answer_routes.route('/delete-answer', methods=['DELETE'])
@admin_required
def delete_answer():
try:
comment_id = request.args.get('id', -1)
if comment_id == -1:
return response_error(MESSAGE.ANSWER_INVALID_INPUT, CODE.ANSWER_INVALID_INPUT)
review = answer_bl.review_type(comment_id)
if review is None:
return response_error(MESSAGE.ANSWER_INVALID_INPUT, CODE.ANSWER_INVALID_INPUT)
comment = db.session.query(Comment).filter(Comment.id==comment_id).first()
rating = db.session.query(Rating).filter(Rating.id.in_(db.session.query(Comment.rating_id).filter(Comment.id==comment_id))).first()
db.session.delete(comment)
db.session.delete(rating)
object_id = rating.object_id
review_type = review.name
if review_type == CONST.Type['People']:
user = User.find_user_by_id(object_id)
if user is not None:
user.rating_count = people_bl.count_rating_for_object(user, CONST.Type['People'])
user.comment_count = people_bl.count_comments_for_object(user, CONST.Type['People'])
db.session.flush()
elif review_type == CONST.Type['Team']:
team = Team.find_team_by_id(object_id)
if team is not None:
team.rating_count = people_bl.count_rating_for_object(team, CONST.Type['Team'])
team.comment_count = people_bl.count_comments_for_object(team, CONST.Type['Team'])
db.session.flush()
elif review_type == CONST.Type['Company']:
company = Company.find_company_by_id(object_id)
if company is not None:
company.rating_count = people_bl.count_rating_for_object(company, CONST.Type['Company'])
company.comment_count = people_bl.count_comments_for_object(company, CONST.Type['Company'])
db.session.flush()
db.session.commit()
return response_ok()
except Exception, ex:
db.session.rollback()
return response_error(ex.message)
| 33.647887
| 175
| 0.717769
| 1,388
| 9,556
| 4.720461
| 0.09438
| 0.04533
| 0.052198
| 0.055556
| 0.770452
| 0.762515
| 0.733364
| 0.730159
| 0.726038
| 0.722222
| 0
| 0.002823
| 0.147342
| 9,556
| 284
| 176
| 33.647887
| 0.801301
| 0.005546
| 0
| 0.66087
| 0
| 0
| 0.04293
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.008696
| 0.073913
| null | null | 0.008696
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
c4e6f066be1a89a704e61116eb309c8611194782
| 463
|
py
|
Python
|
packages/python/yap_kernel/yap_ipython/utils/tests/test_imports.py
|
ryandesign/yap
|
9a50d1a3d985ec559ebfbb8e9f4d4c6b88b30214
|
[
"Artistic-1.0-Perl",
"ClArtistic"
] | 90
|
2015-03-09T01:24:15.000Z
|
2022-02-24T13:56:25.000Z
|
packages/python/yap_kernel/yap_ipython/utils/tests/test_imports.py
|
ryandesign/yap
|
9a50d1a3d985ec559ebfbb8e9f4d4c6b88b30214
|
[
"Artistic-1.0-Perl",
"ClArtistic"
] | 52
|
2016-02-14T08:59:37.000Z
|
2022-03-14T16:39:35.000Z
|
packages/python/yap_kernel/yap_ipython/utils/tests/test_imports.py
|
ryandesign/yap
|
9a50d1a3d985ec559ebfbb8e9f4d4c6b88b30214
|
[
"Artistic-1.0-Perl",
"ClArtistic"
] | 27
|
2015-11-19T02:45:49.000Z
|
2021-11-25T19:47:58.000Z
|
# encoding: utf-8
def test_import_coloransi():
from yap_ipython.utils import coloransi
def test_import_generics():
from yap_ipython.utils import generics
def test_import_ipstruct():
from yap_ipython.utils import ipstruct
def test_import_PyColorize():
from yap_ipython.utils import PyColorize
def test_import_strdispatch():
from yap_ipython.utils import strdispatch
def test_import_wildcard():
from yap_ipython.utils import wildcard
| 22.047619
| 45
| 0.790497
| 63
| 463
| 5.52381
| 0.253968
| 0.12069
| 0.224138
| 0.327586
| 0.431034
| 0
| 0
| 0
| 0
| 0
| 0
| 0.002545
| 0.151188
| 463
| 20
| 46
| 23.15
| 0.882952
| 0.032397
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0
| 1
| 0
| 1.5
| 0
| 0
| 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
| 1
| 0
| 1
| 0
|
0
| 6
|
f21635bd98489675f8016ec89583fd8ea2e62090
| 18,160
|
py
|
Python
|
src/layers.py
|
AlexHeffner/DropEdge
|
d981b779be330d5ff4dd557d6db1615391bfc249
|
[
"MIT"
] | 380
|
2019-10-09T16:18:52.000Z
|
2022-03-23T11:47:18.000Z
|
src/layers.py
|
AlexHeffner/DropEdge
|
d981b779be330d5ff4dd557d6db1615391bfc249
|
[
"MIT"
] | 16
|
2019-10-17T16:47:50.000Z
|
2022-03-04T13:02:32.000Z
|
src/layers.py
|
AlexHeffner/DropEdge
|
d981b779be330d5ff4dd557d6db1615391bfc249
|
[
"MIT"
] | 72
|
2019-10-13T08:03:37.000Z
|
2022-03-24T21:42:24.000Z
|
import math
import torch
from torch.nn.parameter import Parameter
from torch.nn.modules.module import Module
from torch import nn
import torch.nn.functional as F
class GraphConvolutionBS(Module):
"""
GCN Layer with BN, Self-loop and Res connection.
"""
def __init__(self, in_features, out_features, activation=lambda x: x, withbn=True, withloop=True, bias=True,
res=False):
"""
Initial function.
:param in_features: the input feature dimension.
:param out_features: the output feature dimension.
:param activation: the activation function.
:param withbn: using batch normalization.
:param withloop: using self feature modeling.
:param bias: enable bias.
:param res: enable res connections.
"""
super(GraphConvolutionBS, self).__init__()
self.in_features = in_features
self.out_features = out_features
self.sigma = activation
self.res = res
# Parameter setting.
self.weight = Parameter(torch.FloatTensor(in_features, out_features))
# Is this the best practice or not?
if withloop:
self.self_weight = Parameter(torch.FloatTensor(in_features, out_features))
else:
self.register_parameter("self_weight", None)
if withbn:
self.bn = torch.nn.BatchNorm1d(out_features)
else:
self.register_parameter("bn", None)
if bias:
self.bias = Parameter(torch.FloatTensor(out_features))
else:
self.register_parameter('bias', None)
self.reset_parameters()
def reset_parameters(self):
stdv = 1. / math.sqrt(self.weight.size(1))
self.weight.data.uniform_(-stdv, stdv)
if self.self_weight is not None:
stdv = 1. / math.sqrt(self.self_weight.size(1))
self.self_weight.data.uniform_(-stdv, stdv)
if self.bias is not None:
self.bias.data.uniform_(-stdv, stdv)
def forward(self, input, adj):
support = torch.mm(input, self.weight)
output = torch.spmm(adj, support)
# Self-loop
if self.self_weight is not None:
output = output + torch.mm(input, self.self_weight)
if self.bias is not None:
output = output + self.bias
# BN
if self.bn is not None:
output = self.bn(output)
# Res
if self.res:
return self.sigma(output) + input
else:
return self.sigma(output)
def __repr__(self):
return self.__class__.__name__ + ' (' \
+ str(self.in_features) + ' -> ' \
+ str(self.out_features) + ')'
class GraphBaseBlock(Module):
"""
The base block for Multi-layer GCN / ResGCN / Dense GCN
"""
def __init__(self, in_features, out_features, nbaselayer,
withbn=True, withloop=True, activation=F.relu, dropout=True,
aggrmethod="concat", dense=False):
"""
The base block for constructing DeepGCN model.
:param in_features: the input feature dimension.
:param out_features: the hidden feature dimension.
:param nbaselayer: the number of layers in the base block.
:param withbn: using batch normalization in graph convolution.
:param withloop: using self feature modeling in graph convolution.
:param activation: the activation function, default is ReLu.
:param dropout: the dropout ratio.
:param aggrmethod: the aggregation function for baseblock, can be "concat" and "add". For "resgcn", the default
is "add", for others the default is "concat".
:param dense: enable dense connection
"""
super(GraphBaseBlock, self).__init__()
self.in_features = in_features
self.hiddendim = out_features
self.nhiddenlayer = nbaselayer
self.activation = activation
self.aggrmethod = aggrmethod
self.dense = dense
self.dropout = dropout
self.withbn = withbn
self.withloop = withloop
self.hiddenlayers = nn.ModuleList()
self.__makehidden()
if self.aggrmethod == "concat" and dense == False:
self.out_features = in_features + out_features
elif self.aggrmethod == "concat" and dense == True:
self.out_features = in_features + out_features * nbaselayer
elif self.aggrmethod == "add":
if in_features != self.hiddendim:
raise RuntimeError("The dimension of in_features and hiddendim should be matched in add model.")
self.out_features = out_features
elif self.aggrmethod == "nores":
self.out_features = out_features
else:
raise NotImplementedError("The aggregation method only support 'concat','add' and 'nores'.")
def __makehidden(self):
# for i in xrange(self.nhiddenlayer):
for i in range(self.nhiddenlayer):
if i == 0:
layer = GraphConvolutionBS(self.in_features, self.hiddendim, self.activation, self.withbn,
self.withloop)
else:
layer = GraphConvolutionBS(self.hiddendim, self.hiddendim, self.activation, self.withbn, self.withloop)
self.hiddenlayers.append(layer)
def _doconcat(self, x, subx):
if x is None:
return subx
if self.aggrmethod == "concat":
return torch.cat((x, subx), 1)
elif self.aggrmethod == "add":
return x + subx
elif self.aggrmethod == "nores":
return x
def forward(self, input, adj):
x = input
denseout = None
# Here out is the result in all levels.
for gc in self.hiddenlayers:
denseout = self._doconcat(denseout, x)
x = gc(x, adj)
x = F.dropout(x, self.dropout, training=self.training)
if not self.dense:
return self._doconcat(x, input)
return self._doconcat(x, denseout)
def get_outdim(self):
return self.out_features
def __repr__(self):
return "%s %s (%d - [%d:%d] > %d)" % (self.__class__.__name__,
self.aggrmethod,
self.in_features,
self.hiddendim,
self.nhiddenlayer,
self.out_features)
class MultiLayerGCNBlock(Module):
"""
Muti-Layer GCN with same hidden dimension.
"""
def __init__(self, in_features, out_features, nbaselayer,
withbn=True, withloop=True, activation=F.relu, dropout=True,
aggrmethod=None, dense=None):
"""
The multiple layer GCN block.
:param in_features: the input feature dimension.
:param out_features: the hidden feature dimension.
:param nbaselayer: the number of layers in the base block.
:param withbn: using batch normalization in graph convolution.
:param withloop: using self feature modeling in graph convolution.
:param activation: the activation function, default is ReLu.
:param dropout: the dropout ratio.
:param aggrmethod: not applied.
:param dense: not applied.
"""
super(MultiLayerGCNBlock, self).__init__()
self.model = GraphBaseBlock(in_features=in_features,
out_features=out_features,
nbaselayer=nbaselayer,
withbn=withbn,
withloop=withloop,
activation=activation,
dropout=dropout,
dense=False,
aggrmethod="nores")
def forward(self, input, adj):
return self.model.forward(input, adj)
def get_outdim(self):
return self.model.get_outdim()
def __repr__(self):
return "%s %s (%d - [%d:%d] > %d)" % (self.__class__.__name__,
self.aggrmethod,
self.model.in_features,
self.model.hiddendim,
self.model.nhiddenlayer,
self.model.out_features)
class ResGCNBlock(Module):
"""
The multiple layer GCN with residual connection block.
"""
def __init__(self, in_features, out_features, nbaselayer,
withbn=True, withloop=True, activation=F.relu, dropout=True,
aggrmethod=None, dense=None):
"""
The multiple layer GCN with residual connection block.
:param in_features: the input feature dimension.
:param out_features: the hidden feature dimension.
:param nbaselayer: the number of layers in the base block.
:param withbn: using batch normalization in graph convolution.
:param withloop: using self feature modeling in graph convolution.
:param activation: the activation function, default is ReLu.
:param dropout: the dropout ratio.
:param aggrmethod: not applied.
:param dense: not applied.
"""
super(ResGCNBlock, self).__init__()
self.model = GraphBaseBlock(in_features=in_features,
out_features=out_features,
nbaselayer=nbaselayer,
withbn=withbn,
withloop=withloop,
activation=activation,
dropout=dropout,
dense=False,
aggrmethod="add")
def forward(self, input, adj):
return self.model.forward(input, adj)
def get_outdim(self):
return self.model.get_outdim()
def __repr__(self):
return "%s %s (%d - [%d:%d] > %d)" % (self.__class__.__name__,
self.aggrmethod,
self.model.in_features,
self.model.hiddendim,
self.model.nhiddenlayer,
self.model.out_features)
class DenseGCNBlock(Module):
"""
The multiple layer GCN with dense connection block.
"""
def __init__(self, in_features, out_features, nbaselayer,
withbn=True, withloop=True, activation=F.relu, dropout=True,
aggrmethod="concat", dense=True):
"""
The multiple layer GCN with dense connection block.
:param in_features: the input feature dimension.
:param out_features: the hidden feature dimension.
:param nbaselayer: the number of layers in the base block.
:param withbn: using batch normalization in graph convolution.
:param withloop: using self feature modeling in graph convolution.
:param activation: the activation function, default is ReLu.
:param dropout: the dropout ratio.
:param aggrmethod: the aggregation function for the output. For denseblock, default is "concat".
:param dense: default is True, cannot be changed.
"""
super(DenseGCNBlock, self).__init__()
self.model = GraphBaseBlock(in_features=in_features,
out_features=out_features,
nbaselayer=nbaselayer,
withbn=withbn,
withloop=withloop,
activation=activation,
dropout=dropout,
dense=True,
aggrmethod=aggrmethod)
def forward(self, input, adj):
return self.model.forward(input, adj)
def get_outdim(self):
return self.model.get_outdim()
def __repr__(self):
return "%s %s (%d - [%d:%d] > %d)" % (self.__class__.__name__,
self.aggrmethod,
self.model.in_features,
self.model.hiddendim,
self.model.nhiddenlayer,
self.model.out_features)
class InecptionGCNBlock(Module):
"""
The multiple layer GCN with inception connection block.
"""
def __init__(self, in_features, out_features, nbaselayer,
withbn=True, withloop=True, activation=F.relu, dropout=True,
aggrmethod="concat", dense=False):
"""
The multiple layer GCN with inception connection block.
:param in_features: the input feature dimension.
:param out_features: the hidden feature dimension.
:param nbaselayer: the number of layers in the base block.
:param withbn: using batch normalization in graph convolution.
:param withloop: using self feature modeling in graph convolution.
:param activation: the activation function, default is ReLu.
:param dropout: the dropout ratio.
:param aggrmethod: the aggregation function for baseblock, can be "concat" and "add". For "resgcn", the default
is "add", for others the default is "concat".
:param dense: not applied. The default is False, cannot be changed.
"""
super(InecptionGCNBlock, self).__init__()
self.in_features = in_features
self.out_features = out_features
self.hiddendim = out_features
self.nbaselayer = nbaselayer
self.activation = activation
self.aggrmethod = aggrmethod
self.dropout = dropout
self.withbn = withbn
self.withloop = withloop
self.midlayers = nn.ModuleList()
self.__makehidden()
if self.aggrmethod == "concat":
self.out_features = in_features + out_features * nbaselayer
elif self.aggrmethod == "add":
if in_features != self.hiddendim:
raise RuntimeError("The dimension of in_features and hiddendim should be matched in 'add' model.")
self.out_features = out_features
else:
raise NotImplementedError("The aggregation method only support 'concat', 'add'.")
def __makehidden(self):
# for j in xrange(self.nhiddenlayer):
for j in range(self.nbaselayer):
reslayer = nn.ModuleList()
# for i in xrange(j + 1):
for i in range(j + 1):
if i == 0:
layer = GraphConvolutionBS(self.in_features, self.hiddendim, self.activation, self.withbn,
self.withloop)
else:
layer = GraphConvolutionBS(self.hiddendim, self.hiddendim, self.activation, self.withbn,
self.withloop)
reslayer.append(layer)
self.midlayers.append(reslayer)
def forward(self, input, adj):
x = input
for reslayer in self.midlayers:
subx = input
for gc in reslayer:
subx = gc(subx, adj)
subx = F.dropout(subx, self.dropout, training=self.training)
x = self._doconcat(x, subx)
return x
def get_outdim(self):
return self.out_features
def _doconcat(self, x, subx):
if self.aggrmethod == "concat":
return torch.cat((x, subx), 1)
elif self.aggrmethod == "add":
return x + subx
def __repr__(self):
return "%s %s (%d - [%d:%d] > %d)" % (self.__class__.__name__,
self.aggrmethod,
self.in_features,
self.hiddendim,
self.nbaselayer,
self.out_features)
class Dense(Module):
"""
Simple Dense layer, Do not consider adj.
"""
def __init__(self, in_features, out_features, activation=lambda x: x, bias=True, res=False):
super(Dense, self).__init__()
self.in_features = in_features
self.out_features = out_features
self.sigma = activation
self.weight = Parameter(torch.FloatTensor(in_features, out_features))
self.res = res
self.bn = nn.BatchNorm1d(out_features)
if bias:
self.bias = Parameter(torch.FloatTensor(out_features))
else:
self.register_parameter('bias', None)
self.reset_parameters()
def reset_parameters(self):
stdv = 1. / math.sqrt(self.weight.size(1))
self.weight.data.uniform_(-stdv, stdv)
if self.bias is not None:
self.bias.data.uniform_(-stdv, stdv)
def forward(self, input, adj):
output = torch.mm(input, self.weight)
if self.bias is not None:
output = output + self.bias
output = self.bn(output)
return self.sigma(output)
def __repr__(self):
return self.__class__.__name__ + ' (' \
+ str(self.in_features) + ' -> ' \
+ str(self.out_features) + ')'
| 41.272727
| 120
| 0.540804
| 1,819
| 18,160
| 5.24354
| 0.08961
| 0.06343
| 0.049801
| 0.035228
| 0.809813
| 0.774481
| 0.749843
| 0.735584
| 0.692388
| 0.667121
| 0
| 0.001238
| 0.377258
| 18,160
| 439
| 121
| 41.366743
| 0.842161
| 0.206993
| 0
| 0.703571
| 0
| 0
| 0.037882
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.114286
| false
| 0
| 0.021429
| 0.053571
| 0.257143
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
| 0
|
0
| 6
|
f21e897b8da4b0595a315adfacf5f43cee540d57
| 14,586
|
py
|
Python
|
tests.py
|
OpenReasoning/TruthTables
|
3a10bce0f94759d31227c7409ce0eccb8b2e6faa
|
[
"MIT"
] | 1
|
2017-07-20T14:53:55.000Z
|
2017-07-20T14:53:55.000Z
|
tests.py
|
MasterOdin/TruthTables
|
3a10bce0f94759d31227c7409ce0eccb8b2e6faa
|
[
"MIT"
] | null | null | null |
tests.py
|
MasterOdin/TruthTables
|
3a10bce0f94759d31227c7409ce0eccb8b2e6faa
|
[
"MIT"
] | 1
|
2019-01-16T21:11:55.000Z
|
2019-01-16T21:11:55.000Z
|
# -*- coding: utf-8 -*-
# pylint: disable=missing-docstring
from __future__ import unicode_literals
from forseti.formula import Symbol, Not, And, Or, If, Iff, Predicate
from nose import runmodule
from nose.tools import assert_equal, raises
from parameterized import parameterized
import sys
import truthtables
PYTHON_2 = sys.version_info[0] == 2
def test_symbol():
table = truthtables.runner("A")
assert_equal([[[True]], [[False]]], table.broken_evaluation)
assert_equal([[Symbol("A")]], table.broken_formulas)
assert_equal([[True], [False]], table.combinations)
assert_equal([[[]], [[]]], table.connective_evaluation)
assert_equal([[True], [False]], table.evaluation)
assert_equal([Symbol("A")], table.formulas)
assert_equal([[]], table.main_connective_index)
assert_equal([Symbol("A")], table.symbols)
assert_equal(1, len(table.get_table_assessment()))
assert_equal("Sentence is TT-Possible", table.get_table_assessment()[0])
def test_not():
table = truthtables.runner("not(A)")
assert_equal([[[False, True]], [[True, False]]], table.broken_evaluation)
assert_equal([[Not(Symbol("A")), Symbol("A")]], table.broken_formulas)
assert_equal([[True], [False]], table.combinations)
assert_equal([[[False]], [[True]]], table.connective_evaluation)
assert_equal([[False], [True]], table.evaluation)
assert_equal([Not(Symbol("A"))], table.formulas)
assert_equal([[0, 0]], table.main_connective_index)
assert_equal([Symbol("A")], table.symbols)
assert_equal(1, len(table.get_table_assessment()))
assert_equal("Sentence is TT-Possible", table.get_table_assessment()[0])
def test_and():
table = truthtables.runner("and(A, B)")
assert_equal([[[True, True, True]], [[True, False, False]], [[False, False, True]],
[[False, False, False]]], table.broken_evaluation)
assert_equal([[Symbol("A"), And(Symbol("A"), Symbol("B")), Symbol("B")]],
table.broken_formulas)
assert_equal([[True, True], [True, False], [False, True], [False, False]], table.combinations)
assert_equal([[[True]], [[False]], [[False]], [[False]]], table.connective_evaluation)
assert_equal([[True], [False], [False], [False]], table.evaluation)
assert_equal([And(Symbol("A"), Symbol("B"))], table.formulas)
assert_equal([[1, 0]], table.main_connective_index)
assert_equal([Symbol("A"), Symbol("B")], table.symbols)
assert_equal(1, len(table.get_table_assessment()))
assert_equal("Sentence is TT-Possible", table.get_table_assessment()[0])
def test_or():
table = truthtables.runner(str("or(A, B)"))
assert_equal([[[True, True, True]], [[True, True, False]], [[False, True, True]],
[[False, False, False]]], table.broken_evaluation)
assert_equal([[Symbol("A"), Or(Symbol("A"), Symbol("B")), Symbol("B")]], table.broken_formulas)
assert_equal([[True, True], [True, False], [False, True], [False, False]], table.combinations)
assert_equal([[[True]], [[True]], [[True]], [[False]]], table.connective_evaluation)
assert_equal([[True], [True], [True], [False]], table.evaluation)
assert_equal([Or(Symbol("A"), Symbol("B"))], table.formulas)
assert_equal([[1, 0]], table.main_connective_index)
assert_equal([Symbol("A"), Symbol("B")], table.symbols)
assert_equal(1, len(table.get_table_assessment()))
assert_equal("Sentence is TT-Possible", table.get_table_assessment()[0])
def test_if():
table = truthtables.runner(str("if(A, B)"))
assert_equal([[[True, True, True]], [[True, False, False]], [[False, True, True]],
[[False, True, False]]], table.broken_evaluation)
assert_equal([[Symbol("A"), If(Symbol("A"), Symbol("B")), Symbol("B")]], table.broken_formulas)
assert_equal([[True, True], [True, False], [False, True], [False, False]], table.combinations)
assert_equal([[[True]], [[False]], [[True]], [[True]]], table.connective_evaluation)
assert_equal([[True], [False], [True], [True]], table.evaluation)
assert_equal([If(Symbol("A"), Symbol("B"))], table.formulas)
assert_equal([[1, 0]], table.main_connective_index)
assert_equal([Symbol("A"), Symbol("B")], table.symbols)
assert_equal(1, len(table.get_table_assessment()))
assert_equal("Sentence is TT-Possible", table.get_table_assessment()[0])
def test_iff():
table = truthtables.runner(str("iff(A, B)"))
assert_equal([[[True, True, True]], [[True, False, False]], [[False, False, True]],
[[False, True, False]]], table.broken_evaluation)
assert_equal([[Symbol("A"), Iff(Symbol("A"), Symbol("B")), Symbol("B")]],
table.broken_formulas)
assert_equal([[True, True], [True, False], [False, True], [False, False]], table.combinations)
assert_equal([[[True]], [[False]], [[False]], [[True]]], table.connective_evaluation)
assert_equal([[True], [False], [False], [True]], table.evaluation)
assert_equal([Iff(Symbol("A"), Symbol("B"))], table.formulas)
assert_equal([[1, 0]], table.main_connective_index)
assert_equal([Symbol("A"), Symbol("B")], table.symbols)
assert_equal(1, len(table.get_table_assessment()))
assert_equal("Sentence is TT-Possible", table.get_table_assessment()[0])
def test_not_and():
table = truthtables.runner(str("not(and(A, B))"))
assert_equal([[[False, True, True, True]], [[True, True, False, False]],
[[True, False, False, True]], [[True, False, False, False]]],
table.broken_evaluation)
assert_equal([[Not(And(Symbol("A"), Symbol("B"))), Symbol("A"), And(Symbol("A"), Symbol("B")), Symbol("B")]],
table.broken_formulas)
assert_equal([[True, True], [True, False], [False, True], [False, False]], table.combinations)
assert_equal([[[False, True]], [[True, False]], [[True, False]], [[True, False]]],
table.connective_evaluation)
assert_equal([[False], [True], [True], [True]], table.evaluation)
assert_equal([Not(And(Symbol("A"), Symbol("B")))], table.formulas)
assert_equal([[0, 0]], table.main_connective_index)
assert_equal([Symbol("A"), Symbol("B")], table.symbols)
assert_equal(1, len(table.get_table_assessment()))
assert_equal("Sentence is TT-Possible", table.get_table_assessment()[0])
def test_and_or():
table = truthtables.runner("and(or(A, C), or(B,C))")
# A or C and B or C
assert_equal([[[True, True, True, True, True, True, True]],
[[True, True, False, True, True, True, False]],
[[True, True, True, True, False, True, True]],
[[True, True, False, False, False, False, False]],
[[False, True, True, True, True, True, True]],
[[False, False, False, False, True, True, False]],
[[False, True, True, True, False, True, True]],
[[False, False, False, False, False, False, False]]],
table.broken_evaluation)
assert_equal([[Symbol("A"), Or(Symbol("A"), Symbol("C")), Symbol("C"),
And(Or(Symbol("A"), Symbol("C")), Or(Symbol("B"), Symbol("C"))), Symbol("B"),
Or(Symbol("B"), Symbol("C")), Symbol("C")]], table.broken_formulas)
assert_equal([[True, True, True], [True, True, False], [True, False, True],
[True, False, False], [False, True, True], [False, True, False],
[False, False, True], [False, False, False]], table.combinations)
assert_equal([[[True, True, True]], [[True, True, True]], [[True, True, True]],
[[True, False, False]], [[True, True, True]], [[False, False, True]],
[[True, True, True]], [[False, False, False]]],
table.connective_evaluation)
assert_equal([[True], [True], [True], [False], [True], [False], [True], [False]],
table.evaluation)
assert_equal([And(Or(Symbol("A"), Symbol("C")), Or(Symbol("B"), Symbol("C")))], table.formulas)
assert_equal([[3, 1]], table.main_connective_index)
assert_equal([Symbol("A"), Symbol("B"), Symbol("C")], table.symbols)
assert_equal(1, len(table.get_table_assessment()))
assert_equal("Sentence is TT-Possible", table.get_table_assessment()[0])
if not PYTHON_2:
assert_equal("A B C | ((A ∨ C) ∧ (B ∨ C))\n" +
"---------------------------\n" +
"T T T | T -T T \n" +
"T T F | T -T T \n" +
"T F T | T -T T \n" +
"T F F | T -F F \n" +
"F T T | T -T T \n" +
"F T F | F -F T \n" +
"F F T | T -T T \n" +
"F F F | F -F F \n", table.generate_table())
def test_and_not_or():
table = truthtables.runner(str("and(not(or(A, C)), B)"), display_connectives=False)
assert_equal([[[False, True, True, True, False, True]],
[[False, True, True, False, False, True]],
[[False, True, True, True, False, False]],
[[False, True, True, False, False, False]],
[[False, False, True, True, False, True]],
[[True, False, False, False, True, True]],
[[False, False, True, True, False, False]],
[[True, False, False, False, False, False]]],
table.broken_evaluation)
assert_equal([[Not(Or(Symbol("A"), Symbol("C"))), Symbol("A"), Or(Symbol("A"), Symbol("C")),
Symbol("C"), And(Not(Or(Symbol("A"), Symbol("C"))), Symbol("B")), Symbol("B")]],
table.broken_formulas)
assert_equal([[True, True, True], [True, True, False], [True, False, True],
[True, False, False], [False, True, True], [False, True, False],
[False, False, True], [False, False, False]], table.combinations)
assert_equal([[[False, True, False]], [[False, True, False]], [[False, True, False]],
[[False, True, False]], [[False, True, False]], [[True, False, True]],
[[False, True, False]], [[True, False, False]]],
table.connective_evaluation)
assert_equal([[False], [False], [False], [False], [False], [True], [False], [False]],
table.evaluation)
assert_equal([And(Not(Or(Symbol("A"), Symbol("C"))), Symbol("B"))], table.formulas)
assert_equal([[4, 2]], table.main_connective_index)
assert_equal([Symbol("A"), Symbol("B"), Symbol("C")], table.symbols)
assert_equal(1, len(table.get_table_assessment()))
assert_equal("Sentence is TT-Possible", table.get_table_assessment()[0])
if not PYTHON_2:
assert_equal("A B C | (¬(A ∨ C) ∧ B)\n" +
"----------------------\n" +
"T T T | -F \n" +
"T T F | -F \n" +
"T F T | -F \n" +
"T F F | -F \n" +
"F T T | -F \n" +
"F T F | -T \n" +
"F F T | -F \n" +
"F F F | -F \n", table.generate_table())
def test_tautology():
table = truthtables.runner("or(A,not(A))")
assert_equal(1, len(table.get_table_assessment()))
assert_equal("Sentence is a Tautology", table.get_table_assessment()[0])
def test_contradiction():
table = truthtables.runner("and(A,not(A))")
assert_equal(1, len(table.get_table_assessment()))
assert_equal("Sentence is a Contradiction", table.get_table_assessment()[0])
def test_empty_statements():
table = truthtables.runner(["A", ''])
assert_equal([[[True]], [[False]]], table.broken_evaluation)
assert_equal([[Symbol("A")]], table.broken_formulas)
assert_equal([[True], [False]], table.combinations)
assert_equal([[[]], [[]]], table.connective_evaluation)
assert_equal([[True], [False]], table.evaluation)
assert_equal([Symbol("A")], table.formulas)
assert_equal([[]], table.main_connective_index)
assert_equal([Symbol("A")], table.symbols)
assert_equal(1, len(table.get_table_assessment()))
assert_equal("Sentence is TT-Possible", table.get_table_assessment()[0])
def test_set_1():
table = truthtables.runner(["A", "A"])
assert_equal([[[True], [True]], [[False], [False]]], table.broken_evaluation)
assert_equal([[Symbol("A")], [Symbol("A")]], table.broken_formulas)
assert_equal([[True], [False]], table.combinations)
assert_equal([[[], []], [[], []]], table.connective_evaluation)
assert_equal([[True, True], [False, False]], table.evaluation)
assert_equal([Symbol("A"), Symbol("A")], table.formulas)
assert_equal([[], []], table.main_connective_index)
assert_equal([Symbol("A")], table.symbols)
assert_equal(4, len(table.get_table_assessment()))
def test_set_2():
table = truthtables.runner(["A", "B"])
assert_equal(1, len(table.get_table_assessment()))
@raises(TypeError)
def test_truthtables_runner_invalid_type():
truthtables.runner(1)
@raises(TypeError)
def test_truthtables_invalid_type():
truthtables.TruthTable(1)
@raises(TypeError)
def test_truthtables_invalid_type_list():
truthtables.TruthTable([1])
@parameterized([
(Symbol('a'), 'a'),
(Not(Symbol('a')), '¬a'),
(And(Symbol('a'), Symbol('b')), '(a ∧ b)'),
(Or(Symbol('a'), Symbol('b')), '(a ∨ b)'),
(If(Symbol('a'), Symbol('b')), '(a → b)'),
(Iff(Symbol('a'), Symbol('b')), '(a ↔ b)'),
(Not(And(
Symbol('a'),
If(Symbol('c'), Iff(Or(Symbol('d'), Symbol('a')), Symbol('c')))
)), '¬(a ∧ (c → ((d ∨ a) ↔ c)))')
])
def test_pretty_print(formula, expected):
assert_equal(expected, truthtables.pretty_print(formula))
@raises(TypeError)
def test_pretty_print_raises():
class Foo(Predicate):
name = "not"
arity = 1
truthtables.pretty_print(Foo)
@parameterized([
([[True], [False]], 1),
([[True, True], [True, False], [False, True], [False, False]], 2),
(
[
[True, True, True], [True, True, False], [True, False, True],
[True, False, False], [False, True, True], [False, True, False],
[False, False, True], [False, False, False]
],
3
)
])
def test_combinations(expected, num):
actual = truthtables.get_combinations(num)
assert_equal(expected, actual)
if __name__ == "__main__":
runmodule()
| 46.900322
| 113
| 0.580214
| 1,801
| 14,586
| 4.548584
| 0.052193
| 0.15979
| 0.089355
| 0.0625
| 0.857056
| 0.825317
| 0.787598
| 0.734497
| 0.670166
| 0.620239
| 0
| 0.004996
| 0.217743
| 14,586
| 310
| 114
| 47.051613
| 0.711569
| 0.005005
| 0
| 0.369231
| 0
| 0
| 0.076711
| 0.003653
| 0
| 0
| 0
| 0
| 0.457692
| 1
| 0.076923
| false
| 0
| 0.026923
| 0
| 0.115385
| 0.015385
| 0
| 0
| 0
| null | 0
| 0
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| 1
| 1
| 1
| 1
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| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
f22177288dd5c331378b397470b307c6c721844f
| 74
|
py
|
Python
|
airtable/__init__.py
|
shikumiya/airtable_client
|
e6045623178b8fce8961bcd37fa40589d6c1299c
|
[
"MIT"
] | 1
|
2021-02-26T06:06:12.000Z
|
2021-02-26T06:06:12.000Z
|
airtable/__init__.py
|
shikumiya/airtable_client
|
e6045623178b8fce8961bcd37fa40589d6c1299c
|
[
"MIT"
] | null | null | null |
airtable/__init__.py
|
shikumiya/airtable_client
|
e6045623178b8fce8961bcd37fa40589d6c1299c
|
[
"MIT"
] | null | null | null |
from .airtable import AirtableClientFactory, AirtableSorter, SortDirection
| 74
| 74
| 0.891892
| 6
| 74
| 11
| 1
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| 0
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| 0
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| 0.067568
| 74
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| 74
| 0.956522
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| 0
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| 1
| 0
| 1
| 0
|
0
| 6
|
4858a90ab7fcb69c462d1e8e6611374fe39f0bce
| 110,310
|
py
|
Python
|
utils/reinforcement.py
|
Tiger767/Hackathon-LunarLanderV2
|
20fb264274b291af5a7e432b574694918d79f055
|
[
"MIT"
] | null | null | null |
utils/reinforcement.py
|
Tiger767/Hackathon-LunarLanderV2
|
20fb264274b291af5a7e432b574694918d79f055
|
[
"MIT"
] | null | null | null |
utils/reinforcement.py
|
Tiger767/Hackathon-LunarLanderV2
|
20fb264274b291af5a7e432b574694918d79f055
|
[
"MIT"
] | null | null | null |
"""
Author: Travis Hammond
Version: 1_4_2020-Modified
"""
import os
from datetime import datetime
from time import sleep
from collections import deque
import h5py
import numpy as np
import tensorflow as tf
import tensorflow.keras.backend as K
from tensorflow import keras
from tensorflow.keras.models import model_from_json
try:
import keyboard
except ModuleNotFoundError:
print("Module 'keyboard' not found. "
"Explore teaching will not work.")
class Environment:
"""This class handles the environment in which the Agent
performs actions in and can get rewards from.
"""
def __init__(self, state_shape, action_shape):
"""Initalizes state and action shapes and sets the state.
params:
state_shape: A tuple of integers, which is the
expected state shape for the agent,
or an integer of the discrete state
space
action_shape: A tuple of integers, which is the
expected action shape
"""
if isinstance(state_shape, int):
self.discrete_state_space = state_shape
state_shape = 1
else:
self.discrete_state_space = None
self.state_shape = state_shape
self.action_shape = action_shape
self.reset()
def reset(self):
"""Resets the environment to its initialized state.
return: A numpy ndarray, which is the state
"""
self.state = None
return self.state
def step(self, action):
"""Moves the current state one step forward
with regard to the action.
params:
action: An integer or value that determines an action
return: A tuple of a ndarray (state), a float/integer (reward),
and a boolean (terminal state)
"""
self.state = None
return self.state, 0, False
def play_episode(self, agent, max_steps, teach=False,
key_action_map=None, random=False,
random_bounds=None, render=False,
verbose=True):
"""Plays a single complete episode with the agent.
params:
agent: An instance of Agent, which will be used to
interact in the environment
max_steps: An integer, which is the max steps an episode
can take before terminating the episode
teach: A boolean, which determines if the agent
should be taught by a human
key_action_map: A dictionary, which contains a key/char mapping
to action values for teaching the agent
random: A booelan, which determines if the agent should not
be used, but instead pick random actions
random_bounds: A tuple of two bounds (lower and upper), which
are used for random actions that are not onehots
render: A boolean, which determines if the environment should
be rendered each step
verbose: A boolean, which determines if information should be
printed to the screen
return: A tuple of an integer (last step) and a float (total reward)
"""
if not isinstance(agent, Agent):
raise TypeError('The instance agent is not a child of Agent.')
if not isinstance(agent.playing_data, PlayingData):
raise ValueError('Invalid playing_data value. '
'(Forgot to set playing_data?)')
if teach:
if key_action_map is None:
key_action_map = {str(i + 1): i
for i in range(self.action_shape[0])}
key_action_map = key_action_map.items()
key_action_msg = ('Press a key: ' +
', '.join([f'{key}: {action}'
for key, action in key_action_map]))
total_reward = 0
state = self.reset()
if render:
self.render()
for step in range(1, max_steps + 1):
if teach:
sleep(.5)
print(key_action_msg)
loop = True
while loop:
for key, action in key_action_map:
if keyboard.is_pressed(key):
loop = False
print(f'Pressed: {key}')
break
elif random:
if random_bounds is None:
action = np.random.randint(0, self.action_shape[0])
else:
action = np.random.uniform(*random_bounds,
size=self.action_shape)
else:
action = agent.select_action(
state, training=agent.playing_data.training
)
new_state, reward, terminal = self.step(action)
total_reward += reward
if agent.playing_data.memorizing:
agent.add_memory(state, action, new_state, reward, terminal)
state = new_state
if verbose:
print(f'Step: {step} - Reward: {reward} '
f'- Action: {action}')
if render:
self.render()
if (agent.playing_data.training
and agent.playing_data.learns_in_episode
and agent.playing_data.epochs > 0):
agent.learn(**agent.playing_data.learning_params)
if terminal:
break
agent.end_episode()
if (agent.playing_data.training
and not agent.playing_data.learns_in_episode
and agent.playing_data.epochs > 0):
agent.learn(**agent.playing_data.learning_params)
return step, total_reward
def play_episodes(self, agent, num_episodes, max_steps,
teach=False, key_action_map=None, random=False,
random_bounds=None, render=False, verbose=True,
episode_verbose=None):
"""Plays atleast 1 complete episode with the agent.
params:
agent: An instance of Agent, which will be used to
interact in the environment
num_episodes: An integer, which is the number of episodes to play
max_steps: An integer, which is the max steps an episode
can take before terminating the episode
teach: A boolean, which determines if the agent
should be taught by a human
key_action_map: A dictionary, which contains a key/char mapping
to action values for teaching the agent
random: A booelan, which determines if the agent should not
be used, but instead pick random actions
random_bounds: A tuple of two bounds (lower and upper), which
are used for random actions that are not onehots
render: A boolean, which determines if the environment should
be rendered each step
verbose: A boolean, which determines if information should be
printed to the screen
episode_verbose: A boolean, which determines if single episode
information should be printed to the screen
return: A float, which is the average total reward of all episodes
"""
if episode_verbose is None:
episode_verbose = verbose
total_rewards = 0
best_reward = 'Unknown'
for episode in range(1, num_episodes + 1):
step, total_reward = self.play_episode(
agent, max_steps, random=random, random_bounds=random_bounds,
teach=teach, key_action_map=key_action_map, render=render,
verbose=episode_verbose,
)
total_rewards += total_reward
if best_reward == 'Unknown' or total_reward > best_reward:
best_reward = total_reward
if verbose:
str_time = datetime.now().strftime(r'%H:%M:%S')
print(f'Time: {str_time} - Episode: {episode} - '
f'Steps: {step} - '
f'Total Reward: {total_reward} - '
f'Best Total Reward: {best_reward} - '
f'Average Total Reward: {total_rewards / episode}')
return total_rewards / episode
def close(self):
"""Closes any threads or loose ends of the environment.
"""
pass
def render(self):
"""Renders the environment.
"""
pass
class GymWrapper(Environment):
"""This class is a environment wrapper for OpenAI Gyms."""
def __init__(self, gym, state_shape, action_shape):
"""Initalizes state and action shapes and sets the state.
params:
gym: A OpenAI Gym
state_shape: A tuple of integers, which is the
expected state shape for the agent,
or an integer of the discrete state
space
action_shape: A tuple of integers, which is the
expected action shape
"""
self.gym = gym
if isinstance(state_shape, int):
self.discrete_state_space = state_shape
state_shape = 1
else:
self.discrete_state_space = None
self.state_shape = state_shape
self.action_shape = action_shape
self.reset()
def reset(self):
"""Resets the environment to its initialized state.
return: A numpy ndarray, which is the state
"""
self.state = self.gym.reset()
if self.discrete_state_space is None:
return self.state
else:
return [self.state]
def step(self, action):
"""Moves the current state one step forward
with regard to the action.
params:
action: An integer or value that determines an action
return: A tuple of a ndarray (state), a float/integer (reward),
and a boolean (terminal state)
"""
state, reward, terminal, _ = self.gym.step(action)
self.state = state
if self.discrete_state_space is None:
return self.state, reward, terminal
else:
return [self.state], reward, terminal
def close(self):
"""Closes any threads or loose ends of the environment.
"""
self.gym.close()
def render(self):
"""Renders the environment.
"""
self.gym.render()
class MultiSeqAgentEnvironment(Environment):
"""This class handles the environment in which multiple agents
can perform actions against eachother in a sequential manner.
"""
def __init__(self, state_shape, action_shape):
"""Initalizes state and action shapes and sets the state.
params:
state_shape: A tuple of integers, which is the
expected state shape for the agent
action_shape: A tuple of integers, which is the
expected action shape
"""
if isinstance(state_shape, int):
self.discrete_state_space = state_shape
state_shape = 1
else:
self.discrete_state_space = None
self.state_shape = state_shape
self.action_shape = action_shape
self.reset()
def reset(self):
"""Resets the environment to its initialized state.
return: A numpy ndarray, which is the state
"""
self.state = None
return self.state
def step(self, agent_ndx, action):
"""Moves the current state one step forward
with regard to the agent's action.
params:
agent_ndx: An integer, which is the index of the
agent taking a step
action: An integer or value that determines an action
return: A tuple of a ndarray (state), a float/integer (reward),
and a boolean (terminal state)
"""
self.state = None
return self.state, 0, self.terminal
def play_episode(self, agents, max_steps, shuffle=True, teach=False,
key_action_map=None, random=False, random_bounds=None,
render=False, verbose=True):
"""Plays a single complete episode with the agents.
params:
agents: A list of Agent instances, which will be used to
interact in the environment
max_steps: An integer, which is the max steps an episode
can take before terminating the episode
shuffle: A boolean, which determines if the agents' positions
should be shuffled
teach: A boolean, which determines if the agents
should be taught by a human
key_action_map: A dictionary, which contains a key/char mapping
to action values for teaching the agents
random: A booelan, which determines if the agent should not
be used, but instead pick random actions
random_bounds: A tuple of two bounds (lower and upper), which
are used for random actions that are not onehots
render: A boolean, which determines if the environment should
be rendered each step
verbose: A boolean, which determines if information should be
printed to the screen
return: A tuple of a list of integers (last steps)
and a list of floats (total rewards)
"""
num_agents = len(agents)
ndxs = np.arange(num_agents)
if shuffle:
np.random.shuffle(ndxs)
for ndx in ndxs:
assert isinstance(agents[ndx], Agent), (
'The instance agent is not a child of Agent.'
)
assert isinstance(agents[ndx].playing_data, PlayingData), (
'Invalid playing_data value.'
)
if teach:
if key_action_map is None:
key_action_map = {str(i + 1): i
for i in range(self.action_shape[0])}
key_action_map = key_action_map.items()
key_action_msg = ('Press a key: ' +
', '.join([f'{key}: {action}'
for key, action in key_action_map]))
total_rewards = [0] * num_agents
state = self.reset()
if render:
self.render()
break_loop = [False] * num_agents
for step in range(1, max_steps + 1):
for ndx in ndxs:
if teach:
print(key_action_msg)
loop = True
while loop:
for key, action in key_action_map:
if keyboard.is_pressed(key):
loop = False
print(f'Pressed: {key}')
break
elif random:
if random_bounds is None:
action = np.random.randint(0, self.action_shape[0])
else:
action = np.random.uniform(*random_bounds,
size=self.action_shape)
else:
action = agents[ndx].select_action(
state, training=agents[ndx].playing_data.training
)
new_state, reward, terminal = self.step(ndx, action)
total_rewards[ndx] += reward
if agents[ndx].playing_data.memorizing:
agents[ndx].add_memory(state, action, new_state,
reward, terminal)
state = new_state
if verbose:
print(f'Step: {step} - Agent: {ndx} - '
f'Reward: {reward} - Action: {action}')
if render:
self.render()
if (agents[ndx].playing_data.training
and agents[ndx].playing_data.learns_in_episode
and agents[ndx].playing_data.epochs > 0):
agents[ndx].learn(
**agents[ndx].playing_data.learning_params
)
if terminal:
break_loop[ndx] = True
if False not in break_loop:
break
if False not in break_loop:
break
for ndx in ndxs:
agents[ndx].end_episode()
if (agents[ndx].playing_data.training
and not agents[ndx].playing_data.learns_in_episode
and agents[ndx].playing_data.epochs > 0):
agents[ndx].learn(**agents[ndx].playing_data.learning_params)
return step, total_rewards
def play_episodes(self, agents, num_episodes, max_steps, shuffle=True,
teach=False, key_action_map=None, random=False,
random_bounds=None, render=False, verbose=True,
episode_verbose=None):
"""Plays at least 1 complete episode with the agents.
params:
agents: A list of Agent instances, which will be used to
interact in the environment
num_episodes: An integer, which is the number of episodes to play
max_steps: An integer, which is the max steps an episode
can take before terminating the episode
shuffle: A boolean, which determines if the agents' positions
should be shuffled
teach: A boolean, which determines if the agents
should be taught by a human
key_action_map: A dictionary, which contains a key/char mapping
to action values for teaching the agents
random: A booelan, which determines if the agent should not
be used, but instead pick random actions
random_bounds: A tuple of two bounds (lower and upper), which
are used for random actions that are not onehots
render: A boolean, which determines if the environment should
be rendered each step
verbose: A boolean, which determines if information should be
printed to the screen
episode_verbose: A boolean, which determines if single episode
information should be printed to the screen
return: A list of floats, which are the average total reward of all
episodes for each agent
"""
if episode_verbose is None:
episode_verbose = verbose
num_agents = len(agents)
total_rewards = [0] * num_agents
best_rewards = ['Unknown'] * num_agents
for episode in range(1, num_episodes + 1):
step, total_reward = self.play_episode(
agents, max_steps, shuffle=shuffle, random=random,
random_bounds=random_bounds, teach=teach,
key_action_map=key_action_map, render=render,
verbose=episode_verbose,
)
for ndx in range(num_agents):
total_rewards[ndx] += total_reward[ndx]
if (best_rewards[ndx] == 'Unknown'
or total_reward[ndx] > best_rewards[ndx]):
best_rewards[ndx] = total_reward[ndx]
if verbose:
str_time = datetime.now().strftime(r'%H:%M:%S')
print(f'Time: {str_time} - Episode: {episode} - '
f'Steps: {step}')
for ndx in range(num_agents):
avg_total_reward = total_rewards[ndx] / episode
print(f'Agent {ndx}. '
f'Total Reward: {total_reward[ndx]} - '
f'Best Total Reward: {best_rewards[ndx]} - '
f'Average Total Reward: {avg_total_reward}')
return [tr / episode for tr in total_rewards]
class Policy:
"""This class is used for calling an Agent's action function."""
def __init__(self):
"""Initalizes the Policy."""
pass
def select_action(self, action_func, training):
"""Returns the action the Agent should take.
params:
action_func: A function that returns a value
training: A boolean, which determines if the
Agent is in a training states
"""
return action_func()
def reset(self):
"""Resets any states."""
pass
class GreedyPolicy(Policy):
"""This class is used for calling an Agent's action function and
selecting the greediest action.
"""
def __init__(self):
super().__init__()
def select_action(self, action_func, training):
"""Returns the action the Agent should take.
params:
action_func: A function that returns a list of values
training: A boolean, which determines if the
Agent is in a training states
"""
action = np.argmax(action_func())
return action
class AsceticPolicy(Policy):
"""This class is used for calling an Agent's action function and
selecting the most ascetic action.
"""
def __init__(self):
"""Initalizes the Policy."""
super().__init__()
def select_action(self, action_func, training):
"""Returns the action the Agent should take.
params:
action_func: A function that returns a list of values
training: A boolean, which determines if the
Agent is in a training states
"""
action = np.argmin(action_func())
return action
class StochasticPolicy(Policy):
def __init__(self, policy, stochasticity_decay_training,
stochasticity_testing, action_size):
"""Initalizes the Policy's states.
params:
policy: A policy instance
stochasticity_decay_training: A decay instance which decays
the stochasticity of the policy
stochasticity_testing: A float, which is the stochasticity
of the policy when the agent is not
training
action_size: An integer, which is the size of the action ndarray
"""
super().__init__()
self.policy = policy
self.stochasticity_decay_training = stochasticity_decay_training
self.stochasticity_testing = stochasticity_testing
self.action_size = action_size
def select_action(self, action_func, training):
"""Returns the action the Agent should take.
params:
action_func: A function that returns a list of values
training: A boolean, which determines if the
Agent is in a training states
"""
if training:
stochasticity = self.stochasticity_decay_training()
else:
stochasticity = self.stochasticity_testing
if np.random.uniform() < stochasticity:
return np.random.randint(0, self.action_size)
else:
return self.policy.select_action(action_func, training)
def reset(self):
"""Resets state of the stochasticity decay instance."""
self.stochasticity_decay_training.reset()
class NoisePolicy(Policy):
"""This class is used for adding normal noise to an Agent's action."""
def __init__(self, noise_scale_decay_training,
noise_scale_testing, action_bounds):
"""Initalizes the Noise Policy.
params:
noise_scale_decay_training: A decay instance, which decays
the noise scale (a fraction of
action range) for the policy
noise_scale_testing: A float, which is the noise scale
of the policy when the agent is not
training
action_bounds: A tuple of two floats/integers, which are
the lower and upper bounds of the action
range
"""
self.noise_scale_decay_training = noise_scale_decay_training
self.noise_scale_testing = noise_scale_testing
self.action_bounds = action_bounds
def select_action(self, action_func, training):
"""Returns the action the Agent should take.
params:
action_func: A function that returns a value
training: A boolean, which determines if the
Agent is in a training states
"""
actions = action_func()
if training:
noise_scale = self.noise_scale_decay_training()
else:
noise_scale = self.noise_scale_testing
noise = np.random.normal(scale=noise_scale, size=actions.shape)
return np.clip(actions + noise, *self.action_bounds)
def reset(self):
"""Resets decay state."""
self.noise_scale_decay_training.reset()
class UniformNoisePolicy(NoisePolicy):
"""This class is used for adding noise to an Agent's action."""
def __init__(self, noise_scale_decay_training,
noise_scale_testing, action_bounds, additive=False):
"""Initalizes the Uniform Noise Policy.
params:
noise_scale_decay_training: A decay instance, which decays
the noise scale (a fraction of
action range) for the policy
noise_scale_testing: A float, which is the noise scale
of the policy when the agent is not
training
action_bounds: A tuple of two floats/integers, which are
the lower and upper bounds of the action
range
additive: A boolean, which determines if the noise should be
added or replace the action value completely
"""
super().__init__(noise_scale_decay_training,
noise_scale_testing, action_bounds)
self.additive = additive
def select_action(self, action_func, training):
"""Returns the action the Agent should take.
params:
action_func: A function that returns a value
training: A boolean, which determines if the
Agent is in a training states
"""
actions = action_func()
noise = np.random.uniform(*self.action_bounds,
size=actions.shape)
if training:
noise_scale = self.noise_scale_decay_training()
else:
noise_scale = self.noise_scale_testing
if self.additive:
return np.clip(actions + noise * noise_scale, *self.action_bounds)
else:
if np.random.uniform() < noise_scale:
return noise
else:
return actions
class TemporalNoisePolicy(NoisePolicy):
"""This class is used for adding temporal noise to an Agent's action."""
def __init__(self, noise_scale_decay_training,
noise_scale_testing, action_bounds,
sigma=.3, theta=.15, dt=.01, init_noise=None):
"""Initalizes the Temporal Noise Policy.
params:
noise_scale_decay_training: A decay instance, which decays
the noise scale (a fraction of
action range) for the policy
noise_scale_testing: A float, which is the noise scale
of the policy when the agent is not
training
action_bounds: A tuple of two floats/integers, which are
the lower and upper bounds of the action
range
"""
super().__init__(noise_scale_decay_training,
noise_scale_testing, action_bounds)
self.sigma = sigma
self.theta = theta
self.dt = dt
self.sqrt_dt = np.sqrt(self.dt)
if init_noise is None:
self.init_noise = None
else:
self.init_noise = init_noise
self.last_noise = None
def select_action(self, action_func, training):
"""Returns the action the Agent should take.
params:
action_func: A function that returns a value
training: A boolean, which determines if the
Agent is in a training states
"""
actions = action_func()
if self.init_noise is None:
self.init_noise = np.full(actions.shape,
np.mean(self.action_bounds))
self.last_noise = self.init_noise
if training:
noise_scale = self.noise_scale_decay_training()
else:
noise_scale = self.noise_scale_testing
noise = np.random.normal(scale=noise_scale, size=actions.shape)
noise = (self.last_noise +
self.theta * -self.last_noise * self.dt +
self.sigma * self.sqrt_dt * noise)
self.last_noise = noise
return np.clip(actions + noise, *self.action_bounds)
def reset(self):
"""Resets decay state and initial actions."""
super().reset()
self.last_noise = self.init_noise
class Decay:
"""This class decays a initial value to a minimum
value through a given number of steps.
(formula: max(initial_value - constant * steps, 0))
"""
def __init__(self, initial_value, constant, min_value=0):
"""Initalizes the state of the decay object.
params:
initial_value: A float, which is the starting value to decay
constant: A float, which is the slope/rate that the decay occurs
min_value: A float, which is the minimum value the decay can reach
"""
assert initial_value >= min_value, (
'initial_value must be greater or equal to min_value'
)
self.initial_value = initial_value
self.steps = 0
self.constant = constant
self.min_value = min_value
def reset(self):
"""Resets the steps"""
self.steps = 0
def __call__(self):
"""Returns the current value with regard to the state of decay.
return: A float
"""
self.steps += 1
value = self.initial_value - self.constant * self.steps
return np.max([value, self.min_value])
class ExponentialDecay(Decay):
"""This class decays a initial value to a minimum
value exponentially through a given number of steps.
(formula: inital_value * (1 - rate)^steps + min_value)
"""
def __init__(self, initial_value, rate, min_value=0):
"""Initalizes the state of the decay object.
params:
initial_value: A float, which is the starting value to decay
rate: A float, which is the slope/rate that the decay occurs
min_value: A float, which is the minimum value the decay can reach
"""
assert initial_value >= min_value, (
'initial_value must be greater or equal to min_value'
)
self.initial_value = initial_value
self.rate = rate
self.min_value = min_value
self.steps = 0
def __call__(self):
"""Returns the current value with regard to the state of decay.
return: A float
"""
self.steps += 1
return np.maximum(self.initial_value * (1 - self.rate)**self.steps,
self.min_value)
class LinearDecay(Decay):
"""This class decays a initial value to a minimum
value linearly through a given number of steps.
(formula: max(initial_value - (inital_value - min_value)
/ total_steps * steps, min_value))
"""
def __init__(self, initial_value, total_steps, min_value=0):
"""Initalizes the state of the decay object.
params:
initial_value: A float, which is the starting value to decay
total_steps: An integer, which is the number of steps until
min_value would be reach
min_value: A float, which is the minimum value the decay
can reach
"""
assert initial_value >= min_value, (
'initial_value must be greater or equal to min_value'
)
self.initial_value = initial_value
self.total_steps = total_steps
self.min_value = min_value
self.a = (-1 * (self.initial_value - self.min_value) /
self.total_steps)
self.steps = 0
def __call__(self):
"""Returns the current value with regard to the state of decay.
return: A float
"""
self.steps += 1
value = self.a * self.steps + self.initial_value
return np.max([value, self.min_value])
class Memory:
"""This class is used by agents to store episode information.
(uses a normal python list)
"""
def __init__(self, max_len=None):
"""Initalizes the memory.
params:
max_len: An integer, which is the max length of memory
(if reached, the oldest memory will be removed)
"""
self.max_len = max_len
self.buffer = []
def __len__(self):
"""Returns the number of entries in the memory.
return: An integer
"""
return len(self.buffer)
def add(self, x):
"""Adds a entry to memory.
params:
x: A entry similar to other entries
"""
self.buffer.append(x)
if (self.max_len is not None
and len(self.buffer) > self.max_len):
del self.buffer[0]
def __getitem__(self, key):
"""Returns an item given a key.
params:
key: A valid key or index for a memory entry
"""
return self.buffer[key]
def __setitem__(self, key, value):
"""Sets a entry to a given key.
params:
key: A valid key or index for a memory entry
value: A entry similar to other entries
"""
self.buffer[key] = value
def array(self):
"""Returns a copy of the memory.
return: A numpy ndarray
"""
return np.array(self.buffer)
def reset(self):
"""Resets or clears the memory.
"""
self.buffer.clear()
class RingMemory(Memory):
"""This class is used by agents to store episode information.
(uses a deque)
"""
def __init__(self, max_len):
"""Initalizes the memory.
params:
max_len: An integer, which is the max length of memory
(if reached, the oldest memory will be removed)
"""
self.buffer = deque(maxlen=max_len)
def add(self, x):
"""Adds a entry to memory.
params:
x: A entry similar to other entries
"""
self.buffer.append(x)
class PlayingData:
"""This class is used for containing data
that the environment needs to know, but the agent has.
"""
def __init__(self, training, memorizing, epochs,
learns_in_episode, learning_params):
"""Initalizes the data.
params:
training: A boolean, which determines if the agent
should be treated as in a training mode
memorizing: A boolean, which determines if the agent
should be adding the information obtained
through playing an episode to memory
epochs: An integer, which is the number of epochs to train
in one training instance
learns_in_episode: A boolean, which determines if the agent
learns during a episode or at the end
learning_params: A dictionary of parameters for the agent's
learn method
"""
assert training is True or training is False, (
'Invalid training value. Must be True or False.'
)
assert memorizing is True or memorizing is False, (
'Invalid memorizing value. Must be True or False.'
)
assert epochs >= 0, (
'Invalid epoch value. Must be greater or equal to zero.'
)
assert learns_in_episode is True or learns_in_episode is False, (
'Invalid learns_in_episode value. Must be True or False.'
)
assert isinstance(learning_params, dict), (
'Invalid learning_params value. Must be a dictionary.'
)
self.training = training
self.memorizing = memorizing
self.epochs = epochs
self.learns_in_episode = learns_in_episode
self.learning_params = learning_params
class Agent:
"""This class is the base class for all agent classes,
and essentially is a random agent.
"""
def __init__(self, action_shape, policy):
"""Initalizes the agent.
params:
action_shape: A tuple of integers, which is the
action shape of the environment
policy: A policy instance
"""
self.action_shape = action_shape
self.policy = policy
self.playing_data = None
def select_action(self, state, training=False):
"""Returns the action the Agent "believes" to be
suited for the given state.
params:
state: A value or list of values, which is the
state to get the action for
training: A boolean, which determines if the
agent is training
return: A value, which is the selected action
"""
def _select_action():
return np.random.random(self.action_shape)
return self.policy.select_action(_select_action,
training=training)
def set_playing_data(self):
"""Sets the episode data."""
self.playing_data = PlayingData(False, False, 0, False, {})
def add_memory(self, state, action, new_state, reward, terminal):
"""Adds information from one step in the environment to the agent.
(For this agent all memory is discarded)
params:
state: A value or list of values, which is the
state of the environment before the
action was performed
action: A value, which is the action the agent took
new_state: A value or list of values, which is the
state of the environment after performing
the action
reward: A float/integer, which is the evaluation of
the action performed
terminal: A boolean, which determines if this call to
add memory is the last for the episode
"""
pass
def forget(self):
"""Forgets or clears all memory."""
pass
def end_episode(self):
"""Ends the episode for the agent."""
pass
def learn(self, verbose=True):
"""Trains the agent on a batch of its experiences.
(For this agent no learning is needed)
params:
verbose: A boolean, which determines if information
should be printed to the screen
"""
pass
def load(self, path):
"""Loads a save from a folder.
params:
path: A string, which is the path to a folder to load
"""
with open(os.path.join(path, 'note.txt'), 'r') as file:
print(file.read(), end='')
def save(self, path, note):
"""Saves a note to a new folder.
params:
path: A string, which is the path to a folder to save within
note: A string, which is the note to save in the folder
return: A string, which is the complete path of the save
"""
time = datetime.now()
path = os.path.join(path, time.strftime(r'%Y%m%d_%H%M%S_%f'))
os.mkdir(path)
with open(os.path.join(path, 'note.txt'), 'w') as file:
file.write(note)
return path
def encrypt(string):
"""Encrpts a string with a XOR cipher.
(assumes security is not necessarily required)
params:
string: A string to encrypt
return: A bytes object
"""
key = 175
string = map(ord, string)
result = []
for plain in string:
key ^= plain
result.append(key)
return bytes(result)
class QAgent(Agent):
"""This class is a Q-learning Agent. It does not uses a neural network,
but instead uses a table.
"""
def __init__(self, discrete_state_space, action_size,
policy, discounted_rate):
"""Initalizes the Q-learning agent.
params:
discrete_state_space: An integer, which
action_size: An integers, which is the
action size of the environment
policy: A policy instance
discounted_rate: A float within 0.0-1.0, which is the rate that
future rewards should be counted for the current
reward
"""
Agent.__init__(self, action_size, policy)
self.discrete_state_space = discrete_state_space
self.discounted_rate = discounted_rate
self.qtable = np.zeros((self.discrete_state_space,
self.action_shape))
self.state = None
self.action = None
self.new_state = None
self.reward = None
self.terminal = None
def select_action(self, state, training=False):
"""Returns the action the Agent "believes" to be
suited for the given state.
params:
state: A value or list of values, which is the
state to look up the action for in the table
training: A boolean, which determines if the
agent is training
return: A value, which is the selected action
"""
def _select_action():
nonlocal state
if isinstance(state, list) and len(state) == 1:
state = state[0]
return self.qtable[state]
return self.policy.select_action(_select_action,
training=training)
def set_playing_data(self, training=False, learning_rate=None,
verbose=False):
"""Sets the playing data.
params:
training: A boolean, which determines if the agent
should be treated as in a training mode
learning_rate: A float, which is the rate that the table
is updated with the currect Q reward
(Must be provided if training is True)
verbose: A boolean, which determines if training
should be verbose (print information to the screen)
"""
self.playing_data = PlayingData(training, training, 1, True,
{'learning_rate': learning_rate,
'verbose': verbose})
def add_memory(self, state, action, new_state, reward, terminal):
"""Adds information from one step in the environment to the agent.
params:
state: A value or list of values, which is the
state of the environment before the
action was performed
action: A value, which is the action the agent took
new_state: A value or list of values, which is the
state of the environment after performing
the action
reward: A float/integer, which is the evaluation of
the action performed
terminal: A boolean, which determines if this call to
add memory is the last for the episode
"""
if isinstance(state, list) and len(state) == 1:
state = state[0]
if isinstance(new_state, list) and len(new_state) == 1:
new_state = new_state[0]
self.state = state
self.action = action
self.new_state = new_state
self.reward = reward
self.terminal = terminal
def forget(self):
"""Forgets or clears all memory."""
self.state = None
self.action = None
self.new_state = None
self.reward = None
self.terminal = None
def learn(self, learning_rate, verbose=True):
"""Trains the agent on its last experience.
params:
learning_rate: A float, which is the rate that the table
is updated with the currect Q reward
verbose: A boolean, which determines if information
should be printed to the screen
"""
assert self.state is not None, (
'Memory is empty.'
)
discounted_reward = 0
if not self.terminal:
discounted_reward = (self.discounted_rate *
np.amax(self.qtable[self.new_state]))
self.qtable[self.state, self.action] = (
(1 - learning_rate) * self.qtable[self.state, self.action] +
learning_rate * (self.reward + discounted_reward)
)
if verbose:
pass
def load(self, path):
"""Loads a save from a folder.
params:
path: A string, which is the path to a folder to load
"""
Agent.load(self, path)
self.qtable = np.load(os.path.join(path, 'qtable.npy'))
def save(self, path, note='QAgent Save'):
"""Saves a note and qtable to a new folder.
params:
path: A string, which is the path to a folder to save within
note: A string, which is the note to save in the folder
return: A string, which is the complete path of the save
"""
path = Agent.save(self, path, note)
np.save(os.path.join(path, 'qtable.npy'), self.qtable)
return path
class PQAgent(QAgent):
"""This class is like QAgent, but it uses multiple variables at once,
hince Parallel Q Agent.
"""
def __init__(self, discrete_state_space, action_size,
policy, discounted_rates, learning_rates):
"""Initalizes the Q-learning agent.
params:
discrete_state_space: An integer, which
action_size: An integers, which is the
action size of the environment
policy: A policy instance
discounted_rates: A list of floats within 0.0-1.0, which
are the rates that future rewards should
be counted for the current reward
learning_rate: A list of floats, which are the rates
that the table is updated with the currect
Q reward
"""
Agent.__init__(self, action_size, policy)
self.discrete_state_space = discrete_state_space
self.discounted_rates = np.array(discounted_rates)
self.learning_rates = np.array(learning_rates)
self.inv_learning_rates = 1 - self.learning_rates
self.qtables = np.zeros((len(self.learning_rates),
len(self.discounted_rates),
self.discrete_state_space,
self.action_shape))
self.selected_qtable = None
self.state = None
self.action = None
self.new_state = None
self.reward = None
self.terminal = None
def select_action(self, state, training=False):
"""Returns the action the Agent "believes" to be
suited for the given state.
params:
state: A value or list of values, which is the
state to look up the action for in the table
training: A boolean, which determines if the
agent is training
return: A value, which is the selected action
"""
def _select_action():
nonlocal state
if isinstance(state, list) and len(state) == 1:
state = state[0]
return self.selected_qtable()[state]
return self.policy.select_action(_select_action,
training=training)
def set_playing_data(self, training=False, learning_rate_ndx=None,
discounted_rate_ndx=None, verbose=False):
"""Sets the playing data.
params:
training: A boolean, which determines if the agent
should be treated as in a training mode
learning_rate_ndx: An integer, which is a ndx for
the learning rates
discounted_rate_ndx: An integer, which is a ndx for
the discounted rate
verbose: A boolean, which determines if training
should be verbose (print information to the screen)
"""
lrn = 0
drn = 0
if learning_rate_ndx is not None:
self.learning_rates[learning_rate_ndx]
lrn = learning_rate_ndx
if discounted_rate_ndx is not None:
self.discounted_rates[discounted_rate_ndx]
drn = discounted_rate_ndx
self.selected_qtable = lambda: self.qtables[lrn, drn]
self.playing_data = PlayingData(
training, training, 1, True,
{'learning_rate_ndx': learning_rate_ndx,
'discounted_rate_ndx': discounted_rate_ndx,
'verbose': verbose}
)
def learn(self, learning_rate_ndx=None,
discounted_rate_ndx=None, verbose=True):
"""Trains the agent on its last experience.
params:
learning_rate_ndx: An integer, which is a ndx for
the learning rates
discounted_rate_ndx: An integer, which is a ndx for
the discounted rate
verbose: A boolean, which determines if information
should be printed to the screen
"""
assert self.state is not None, (
'Memory is empty.'
)
lrn = learning_rate_ndx
drn = discounted_rate_ndx
if lrn is None and drn is None:
discounted_reward = 0
if not self.terminal:
discounted_reward = (
self.discounted_rates *
np.amax(self.qtables[:, :, self.new_state], axis=-1)
)
self.qtables[:, :, self.state, self.action] = (
self.inv_learning_rates[:, np.newaxis] *
self.qtables[:, :, self.state, self.action] +
self.learning_rates[:, np.newaxis] *
(self.reward + discounted_reward)
)
elif drn is None:
discounted_reward = 0
if not self.terminal:
discounted_reward = (
self.discounted_rates *
np.amax(self.qtables[lrn, :, self.new_state], axis=-1)
)
self.qtables[lrn, :, self.state, self.action] = (
self.inv_learning_rates[lrn, np.newaxis] *
self.qtables[lrn, :, self.state, self.action] +
self.learning_rates[lrn, np.newaxis] *
(self.reward + discounted_reward)
)
elif lrn is None:
discounted_reward = 0
if not self.terminal:
discounted_reward = (
self.discounted_rates[drn] *
np.amax(self.qtables[:, drn, self.new_state], axis=-1)
)
self.qtables[:, drn, self.state, self.action] = (
self.inv_learning_rates[:, np.newaxis] *
self.qtables[:, drn, self.state, self.action] +
self.learning_rates[:, np.newaxis] *
(self.reward + discounted_reward)
)
else:
discounted_reward = 0
if not self.terminal:
discounted_reward = (
self.discounted_rates[drn] *
np.amax(self.qtables[lrn, drn, self.new_state], axis=-1)
)
self.qtables[lrn, drn, self.state, self.action] = (
self.inv_learning_rates[lrn] *
self.qtables[lrn, drn, self.state, self.action] +
self.learning_rates[lrn] *
(self.reward + discounted_reward)
)
if verbose:
pass
def load(self, path):
"""Loads a save from a folder.
params:
path: A string, which is the path to a folder to load
from
"""
Agent.load(self, path)
self.qtables = np.load(os.path.join(path, 'qtables.npy'))
def save(self, path, note='PQAgent Save'):
"""Saves a note and qtables to a new folder.
params:
path: A string, which is the path to a folder to save within
note: A string, which is the note to save in the folder
return: A string, which is the complete path of the save
"""
path = Agent.save(self, path, note)
np.save(os.path.join(path, 'qtables.npy'), self.qtables)
return path
class DQNAgent(Agent):
"""This class is an Agent that uses a Deep Q Network instead of
a table like the QAgent. This allows for generalizations and
large environment states.
"""
@staticmethod
def get_dueling_output_layer(action_shape, dueling_type='avg'):
assert dueling_type in ['avg', 'max', 'naive'], (
"Dueling type must be 'avg', 'max', or 'naive'"
)
def layer(x1, x2):
x1 = keras.layers.Dense(1)(x1)
x2 = keras.layers.Dense(action_shape[0])(x2)
x = keras.layers.Concatenate()([x1, x2])
if dueling_type == 'avg':
def dueling(a):
return (K.expand_dims(a[:, 0], -1) + a[:, 1:] -
K.mean(a[:, 1:], axis=1, keepdims=True))
elif dueling_type == 'max':
def dueling(a):
return (K.expand_dims(a[:, 0], -1) + a[:, 1:] -
K.max(a[:, 1:], axis=1, keepdims=True))
else:
def dueling(a):
return K.expand_dims(a[:, 0], -1) + a[:, 1:]
return keras.layers.Lambda(dueling, output_shape=action_shape,
name='q_output')(x)
return layer
def __init__(self, policy, qmodel, discounted_rate,
create_memory=lambda: Memory(),
enable_target=True, enable_double=False,
enable_PER=False):
"""Initalizes the Deep Q Network Agent.
params:
policy: A policy instance
qmodel: A keras model, which takes the state as input and outputs
Q Values
discounted_rate: A float within 0.0-1.0, which is the rate that
future rewards should be counted for the current
reward
create_memory: A function, which returns a Memory instance
enable_target: A boolean, which determines if a target model
should be used
enable_double: A boolean, which determiens if the Double Deep Q
Network should be used
enable_PER: A boolean, which determines if prioritized experience
replay should be used (The implementation for this is
not the normal tree implementation, and only weights
the probabilily of being choosen and not also the
gradient)
"""
Agent.__init__(self, qmodel.output_shape[1:], policy)
self.qmodel = qmodel
self.target_qmodel = None
self.enable_target = enable_target or enable_double
self.enable_double = enable_double
if self.enable_target:
self.target_qmodel = keras.models.clone_model(qmodel)
self.target_qmodel.compile(optimizer='sgd', loss='mse')
else:
self.target_qmodel = self.qmodel
self.discounted_rate = discounted_rate
self.states = create_memory()
self.next_states = create_memory()
self.actions = create_memory()
self.rewards = create_memory()
self.terminals = create_memory()
if enable_PER:
self.PER_losses = create_memory()
# assuming the true max loss will be less than 100
# at least at the begining
self.max_loss = 100.0
else:
self.PER_losses = None
self.action_identity = np.identity(self.action_shape[0])
self.total_steps = 0
self.metric = tf.keras.metrics.Mean(name='loss')
self._tf_train_step = tf.function(
self._train_step,
input_signature=(tf.TensorSpec(shape=self.qmodel.input_shape,
dtype=tf.keras.backend.floatx()),
tf.TensorSpec(shape=self.qmodel.input_shape,
dtype=tf.keras.backend.floatx()),
tf.TensorSpec(shape=(None, None),
dtype=tf.keras.backend.floatx()),
tf.TensorSpec(shape=(None,),
dtype=tf.keras.backend.floatx()),
tf.TensorSpec(shape=(None,),
dtype=tf.keras.backend.floatx()))
)
def select_action(self, state, training=False):
"""Returns the action the Agent "believes" to be
suited for the given state.
params:
state: A value, which is the state to predict
the Q values for
training: A boolean, which determines if the
agent is training
return: A value, which is the selected action
"""
def _select_action():
qvalues = self.qmodel(np.expand_dims(state, axis=0),
training=False)[0].numpy()
return qvalues
return self.policy.select_action(_select_action,
training=training)
def set_playing_data(self, training=False, memorizing=False,
learns_in_episode=False, batch_size=None,
mini_batch=0, epochs=1, repeat=1,
target_update_interval=1, tau=1.0, verbose=True):
"""Sets the playing data.
params:
training: A boolean, which determines if the agent
should be treated as in a training mode
memorizing: A boolean, which determines if the agent
should be adding the information obtained
through playing an episode to memory
learns_in_episode: A boolean, which determines if the agent
learns during a episode or at the end
batch_size: An integer, which is the size of each batch
within the mini-batch during one training instance
mini_batch: An integer, which is the entire batch size for
one training instance
epochs: An integer, which is the number of epochs to train
in one training instance
repeat: An integer, which is the times to repeat a training
instance in one training instance (similar to epochs,
but mini_batch is resampled and qvalues repredicted)
target_update_interval: An integer, which is the number of
complete training instances
(repeats do not count) until the
target model weights are updated
tau: A float, which is the strength of the copy from the
qmodel to the target qmodel (1.0 is a hard copy and
less is softer)
verbose: A boolean, which determines if training
should be verbose (print information to the screen)
"""
learning_params = {'batch_size': batch_size,
'mini_batch': mini_batch,
'epochs': epochs,
'repeat': repeat,
'target_update_interval': target_update_interval,
'tau': tau,
'verbose': verbose}
self.playing_data = PlayingData(training, memorizing, epochs,
learns_in_episode, learning_params)
def add_memory(self, state, action, new_state, reward, terminal):
"""Adds information from one step in the environment to the agent.
params:
state: A value or list of values, which is the
state of the environment before the
action was performed
action: A value, which is the action the agent took
new_state: A value or list of values, which is the
state of the environment after performing
the action
reward: A float/integer, which is the evaluation of
the action performed
terminal: A boolean, which determines if this call to
add memory is the last for the episode
"""
self.states.add(np.array(state))
self.next_states.add(np.array(new_state))
self.actions.add(action)
self.rewards.add(reward)
self.terminals.add(0 if terminal else 1)
if self.PER_losses is not None:
self.PER_losses.add(self.max_loss)
def forget(self):
"""Forgets or clears all memory."""
self.states.reset()
self.next_states.reset()
self.actions.reset()
self.rewards.reset()
self.terminals.reset()
if self.PER_losses is not None:
self.PER_losses.reset()
def update_target(self, tau):
"""Updates the target Q Model weights.
params:
tau: A float, which is the strength of the copy from the
qmodel to the target qmodel (1.0 is a hard copy and
less is softer)
"""
if tau == 1.0:
self.target_qmodel.set_weights(self.qmodel.get_weights())
else:
tws = self.target_qmodel.trainable_variables
ws = self.qmodel.trainable_variables
for ndx in range(len(tws)):
tws[ndx] = ws[ndx] * tau + tws[ndx] * (1 - tau)
def _train_step(self, states, next_states,
action_onehots, terminals, rewards):
"""Performs one gradient step with a batch of data.
params:
states: A tensor that contains environment states
next_states: A tensor that contains the states of
the environment after an action was performed
action_onehots: A tensor that contains onehot encodings of
the action performed
terminals: A tensor that contains ones for nonterminal
states and zeros for terminal states
rewards: A tensor that contains the reward for the action
performed in the environment
return: A loss for this batch of data
"""
if self.enable_double:
qvalues = self.qmodel(next_states, training=False)
actions = tf.argmax(qvalues, axis=-1)
qvalues = self.target_qmodel(next_states, training=False)
qvalues = tf.squeeze(tf.gather(qvalues, actions[:, tf.newaxis],
axis=-1, batch_dims=1))
else:
qvalues = self.target_qmodel(next_states, training=False)
qvalues = tf.reduce_max(qvalues, axis=-1)
qvalues = (rewards +
self.discounted_rate * qvalues * terminals)
with tf.GradientTape() as tape:
y_pred = self.qmodel(states, training=True)
if len(self.qmodel.losses) > 0:
reg_loss = tf.math.add_n(self.qmodel.losses)
else:
reg_loss = 0
y_true = (y_pred * (1 - action_onehots) +
qvalues[:, tf.newaxis] * action_onehots)
loss = self.qmodel.loss_functions[0](y_true, y_pred) + reg_loss
grads = tape.gradient(loss, self.qmodel.trainable_variables)
self.qmodel.optimizer.apply_gradients(
zip(grads, self.qmodel.trainable_variables)
)
self.metric(loss)
return tf.reduce_sum(tf.abs(y_true - y_pred), axis=-1)
def _train(self, states, next_states, action_onehots, terminals,
rewards, epochs, batch_size, verbose=True):
"""Performs multiple gradient steps of all the data.
params:
states: A numpy array that contains environment states
next_states: A numpy array that contains the states of
the environment after an action was performed
action_onehots: A numpy array that contains onehot encodings of
the action performed
terminals: A numpy array that contains ones for nonterminal
states and zeros for terminal states
rewards: A numpy array that contains the reward for the action
performed in the environment
epochs: An integer, which is the number of complete gradient
steps to perform
batch_size: An integer, which is the size of the batch for
each partial gradient step
verbose: A boolean, which determines if information should
be printed to the screen
return: A list of floats, which are the absolute losses for all
the data
"""
length = states.shape[0]
float_type = tf.keras.backend.floatx()
batches = tf.data.Dataset.from_tensor_slices(
(states.astype(float_type),
next_states.astype(float_type),
action_onehots.astype(float_type),
terminals.astype(float_type),
rewards.astype(float_type))
).batch(batch_size)
losses = []
for epoch in range(1, epochs + 1):
if verbose:
print(f'Epoch {epoch}/{epochs}')
count = 0
for batch in batches:
if epoch == epochs:
losses.append(self._tf_train_step(*batch).numpy())
else:
self._tf_train_step(*batch)
count += np.minimum(batch_size, length - count)
if verbose:
print(f'{count}/{length}', end='\r')
loss_results = self.metric.result()
self.metric.reset_states()
if verbose:
print(f'{count}/{length} - '
f'loss: {loss_results}')
return np.hstack(losses)
def learn(self, batch_size=None, mini_batch=0,
epochs=1, repeat=1,
target_update_interval=1, tau=1.0, verbose=True):
"""Trains the agent on a sample of its experiences.
params:
batch_size: An integer, which is the size of each batch
within the mini-batch during one training instance
mini_batch: An integer, which is the entire batch size for
one training instance
epochs: An integer, which is the number of epochs to train
in one training instance
repeat: An integer, which is the times to repeat a training
instance in one training instance (similar to epochs,
but mini_batch is resampled and qvalues repredicted)
target_update_interval: An integer, which is the number of
complete training instances
(repeats do not count) until the
target model weights are updated
tau: A float, which is the strength of the copy from the
qmodel to the target qmodel (1.0 is a hard copy and
less is softer)
verbose: A boolean, which determines if training
should be verbose (print information to the screen)
"""
self.total_steps += 1
if mini_batch > 0 and len(self.states) > mini_batch:
length = mini_batch
else:
length = len(self.states)
for count in range(1, repeat+1):
if verbose:
print(f'Repeat {count}/{repeat}')
indexes = None
if self.PER_losses is None:
indexes = np.random.choice(np.arange(len(self.states)),
size=length, replace=False)
else:
PER_losses_arr = self.PER_losses.array()
self.max_loss = PER_losses_arr.max()
PER_losses_arr = PER_losses_arr / PER_losses_arr.sum()
indexes = np.random.choice(np.arange(len(self.states)),
size=length, replace=False,
p=PER_losses_arr)
if length >= 10000: # depends on cpu and other factors
next_states_arr = self.next_states.array()[indexes]
states_arr = self.states.array()[indexes]
action_onehots = self.action_identity[
self.actions.array()[indexes]
]
rewards_arr = self.rewards.array()[indexes]
terminals_arr = self.terminals.array()[indexes]
else:
next_states_arr = np.empty((length, *self.states[0].shape))
states_arr = np.empty((length, *self.states[0].shape))
action_onehots = np.empty((length, self.action_shape[0]))
rewards_arr = np.empty(length)
terminals_arr = np.empty(length)
for ndx, rndx in enumerate(indexes):
states_arr[ndx] = self.states[rndx]
next_states_arr[ndx] = self.next_states[rndx]
action_onehots[ndx] = self.action_identity[
self.actions[rndx]
]
rewards_arr[ndx] = self.rewards[rndx]
terminals_arr[ndx] = self.terminals[rndx]
losses = self._train(states_arr, next_states_arr, action_onehots,
terminals_arr, rewards_arr, epochs,
batch_size, verbose=verbose)
if self.PER_losses is not None:
for ndx, loss in zip(indexes, losses):
self.PER_losses[ndx] = loss
if (self.enable_target
and self.total_steps % target_update_interval == 0):
self.update_target(tau)
def load(self, path, load_model=True, load_data=True):
"""Loads a save from a folder.
params:
path: A string, which is the path to a folder to load
load_model: A boolean, which determines if the model
architecture and weights
should be loaded
load_data: A boolean, which determines if the memory
from a folder should be loaded
"""
Agent.load(self, path)
if load_model:
with open(os.path.join(path, 'qmodel.json'), 'r') as file:
self.qmodel = model_from_json(file.read())
self.qmodel.load_weights(os.path.join(path, 'qweights.h5'))
if self.enable_target:
self.target_qmodel = keras.models.clone_model(self.qmodel)
self.target_qmodel.compile(optimizer='sgd', loss='mse')
else:
self.target_qmodel = self.qmodel
if load_data:
with h5py.File(os.path.join(path, 'data.h5'), 'r') as file:
for state in file['states']:
self.states.add(state)
for new_state in file['next_states']:
self.next_states.add(new_state)
for action in file['actions']:
self.actions.add(action)
for reward in file['rewards']:
self.rewards.add(reward)
for terminal in file['terminals']:
self.terminals.add(terminal)
if self.PER_losses is not None:
if 'PER_losses' in file:
for loss in file['PER_losses']:
self.PER_losses.add(loss)
else:
for _ in range(len(self.states)):
self.PER_losses.add(self.max_loss)
def save(self, path, save_model=True,
save_data=True, note='DQNAgent Save'):
"""Saves a note, model weights, and memory to a new folder.
params:
path: A string, which is the path to a folder to save within
save_model: A boolean, which determines if the model
architecture and weights
should be saved
save_data: A boolean, which determines if the memory
should be saved
note: A string, which is a note to save in the folder
return: A string, which is the complete path of the save
"""
path = Agent.save(self, path, note)
if save_model:
with open(os.path.join(path, 'qmodel.json'), 'w') as file:
file.write(self.qmodel.to_json())
self.qmodel.save_weights(os.path.join(path, 'qweights.h5'))
if save_data:
with h5py.File(os.path.join(path, 'data.h5'), 'w') as file:
file.create_dataset('states', data=self.states.array())
file.create_dataset(
'next_states', data=self.next_states.array()
)
file.create_dataset('actions', data=self.actions.array())
file.create_dataset('rewards', data=self.rewards.array())
file.create_dataset('terminals', data=self.terminals.array())
if self.PER_losses is not None:
file.create_dataset(
'PER_losses', data=self.PER_losses.array()
)
return path
class PGAgent(Agent):
"""This class is an Agent that uses a Neural Network like the DQN Agent,
but instead of learning to predict Q values, it predicts actions. It
learns to predict these actions through Policy Gradients (PG).
"""
def __init__(self, amodel, discounted_rate, create_memory=lambda: Memory(),
policy=None):
"""Initalizes the Policy Gradient Agent.
params:
amodel: A keras model, which takes the state as input and outputs
actions (regularization losses are not applied,
and compiled loss are not used)
discounted_rate: A float within 0.0-1.0, which is the rate that
future rewards should be counted for the current
reward
create_memory: A function, which returns a Memory instance
policy: A policy instance
"""
Agent.__init__(self, amodel.output_shape[1:], policy)
self.amodel = amodel
self.discounted_rate = discounted_rate
self.states = create_memory()
self.actions = create_memory()
self.rewards = create_memory()
self.drewards = create_memory()
self.action_identity = np.identity(self.action_shape[0])
self.metric = tf.keras.metrics.Mean(name='loss')
self._tf_train_step = tf.function(
self._train_step,
input_signature=(tf.TensorSpec(shape=self.amodel.input_shape,
dtype=tf.keras.backend.floatx()),
tf.TensorSpec(shape=(None,),
dtype=tf.keras.backend.floatx()),
tf.TensorSpec(shape=(None, None),
dtype=tf.keras.backend.floatx()),
tf.TensorSpec(shape=(),
dtype=tf.keras.backend.floatx()))
)
def select_action(self, state, training=False):
"""Returns the action the Agent "believes" to be
suited for the given state.
params:
state: A value, which is the state to predict
the action for
training: A boolean, which determines if the
agent is training
return: A value, which is the selected action
"""
def _select_action():
actions = self.amodel(np.expand_dims(state, axis=0),
training=False)[0].numpy()
return np.random.choice(np.arange(self.action_shape[0]),
p=actions)
if self.policy is None:
return _select_action()
return self.policy.select_action(_select_action,
training=training)
def set_playing_data(self, training=False, memorizing=False,
batch_size=None, mini_batch=0, epochs=1,
repeat=1, entropy_coef=0, verbose=True):
"""Sets the playing data.
params:
training: A boolean, which determines if the agent
should be treated as in a training mode
memorizing: A boolean, which determines if the agent
should be adding the information obtained
through playing an episode to memory
batch_size: An integer, which is the size of each batch
within the mini-batch during one training instance
mini_batch: An integer, which is the entire batch size for
one training instance
epochs: An integer, which is the number of epochs to train
in one training instance
repeat: An integer, which is the times to repeat a training
instance in one training instance (similar to epochs,
but mini_batch is resampled and qvalues repredicted)
entropy_coef: A float, which is the coefficent of entropy to add
to the actor loss
verbose: A boolean, which determines if training
should be verbose (print information to the screen)
"""
learning_params = {'batch_size': batch_size,
'mini_batch': mini_batch,
'epochs': epochs,
'repeat': repeat,
'entropy_coef': entropy_coef,
'verbose': verbose}
self.playing_data = PlayingData(training, memorizing, epochs,
False, learning_params)
def add_memory(self, state, action, new_state, reward, terminal):
"""Adds information from one step in the environment to the agent.
params:
state: A value or list of values, which is the
state of the environment before the
action was performed
action: A value, which is the action the agent took
new_state: A value or list of values, which is the
state of the environment after performing
the action (discarded)
reward: A float/integer, which is the evaluation of
the action performed
terminal: A boolean, which determines if this call to
add memory is the last for the episode
(discarded)
"""
self.states.add(np.array(state))
self.actions.add(action)
self.rewards.add(reward)
def forget(self):
"""Forgets or clears all memory."""
self.states.reset()
self.actions.reset()
self.rewards.reset()
self.drewards.reset()
def end_episode(self):
"""Ends the episode, and creates drewards based
on the episodes rewards.
"""
if len(self.rewards) > 0:
dreward = 0
dreward_list = []
# hacky, assuming memory works with reversed
for reward in reversed(self.rewards.buffer):
dreward *= self.discounted_rate
dreward += reward
dreward_list.append(dreward)
self.rewards.reset()
for dreward in reversed(dreward_list):
self.drewards.add(dreward)
def _train_step(self, states, drewards, action_onehots, entropy_coef):
"""Performs one gradient step with a batch of data.
params:
states: A tensor that contains environment states
drewards: A tensor that contains the discounted reward
for the action performed in the environment
action_onehots: A tensor that contains onehot encodings of
the action performed
entropy_coef: A tensor constant float, which is the
coefficent of entropy to add to the
actor loss
"""
with tf.GradientTape() as tape:
y_pred = self.amodel(states, training=True)
# log_softmax may be mathematically correct, but in practice
# seems to give worse results
log_probs = tf.reduce_sum(
action_onehots *
tf.math.log(y_pred + tf.keras.backend.epsilon()), axis=1
)
loss = -tf.reduce_mean(drewards * log_probs)
entropy = tf.reduce_sum(
y_pred * tf.math.log(y_pred + tf.keras.backend.epsilon()),
axis=1
)
loss += tf.reduce_mean(entropy) * entropy_coef
grads = tape.gradient(loss, self.amodel.trainable_variables)
self.amodel.optimizer.apply_gradients(
zip(grads, self.amodel.trainable_variables)
)
self.metric(loss)
def _train(self, states, drewards, action_onehots,
epochs, batch_size, entropy_coef, verbose=True):
"""Performs multiple gradient steps of all the data.
params:
states: A numpy array that contains environment states
drewards: A numpy array that contains the discounted reward
for the action performed in the environment
action_onehots: A numpy array that contains onehot encodings of
the action performed
epochs: An integer, which is the number of complete gradient
steps to perform
batch_size: An integer, which is the size of the batch for
each partial gradient step
entropy_coef: A float, which is the coefficent of entropy to add
to the actor loss
verbose: A boolean, which determines if information should
be printed to the screen
return: A float, which is the mean loss of batches (not exactly a loss)
"""
length = states.shape[0]
float_type = tf.keras.backend.floatx()
batches = tf.data.Dataset.from_tensor_slices(
(states.astype(float_type),
drewards.astype(float_type),
action_onehots.astype(float_type))
).batch(batch_size)
entropy_coef = tf.constant(entropy_coef,
dtype=float_type)
for epoch in range(1, epochs + 1):
if verbose:
print(f'Epoch {epoch}/{epochs}')
count = 0
for batch in batches:
self._tf_train_step(*batch, entropy_coef)
count += np.minimum(batch_size, length - count)
print(f'{count}/{length}', end='\r')
loss_results = self.metric.result()
self.metric.reset_states()
if verbose:
print(f'{count}/{length} - '
f'loss: {loss_results}')
return loss_results
def learn(self, batch_size=None, mini_batch=0,
epochs=1, repeat=1, entropy_coef=0, verbose=True):
"""Trains the agent on a sample of its experiences.
params:
batch_size: An integer, which is the size of each batch
within the mini_batch during one training instance
mini_batch: An integer, which is the entire batch size for
one training instance
epochs: An integer, which is the number of epochs to train
in one training instance
repeat: An integer, which is the times to repeat a training
instance in one training instance (similar to epochs,
but mini_batch is resampled)
entropy_coef: A float, which is the coefficent of entropy to add
to the actor loss
verbose: A boolean, which determines if training
should be verbose (print information to the screen)
"""
if mini_batch > 0 and len(self.states) > mini_batch:
length = mini_batch
else:
length = len(self.states)
for count in range(1, repeat+1):
if verbose:
print(f'Repeat {count}/{repeat}')
indexes = np.random.choice(np.arange(len(self.states)),
size=length, replace=False)
if length >= 20000: # depends on cpu and other factors
states_arr = self.states.array()[indexes]
action_onehots = self.action_identity[
self.actions.array()[indexes]
]
drewards_arr = self.drewards.array()[indexes]
else:
states_arr = np.empty((length, *self.states[0].shape))
action_onehots = np.empty((length, self.action_shape[0]))
drewards_arr = np.empty(length)
for ndx in range(length):
states_arr[ndx] = self.states[indexes[ndx]]
action_onehots[ndx] = self.action_identity[
self.actions[indexes[ndx]]
]
drewards_arr[ndx] = self.drewards[indexes[ndx]]
std = drewards_arr.std()
if std == 0:
return False
drewards_arr = (drewards_arr - drewards_arr.mean()) / std
self._train(states_arr, drewards_arr, action_onehots,
epochs, batch_size, entropy_coef, verbose=verbose)
def load(self, path, load_model=True, load_data=True):
"""Loads a save from a folder.
params:
path: A string, which is the path to a folder to load
load_model: A boolean, which determines if the model
architecture and weights
should be loaded
load_data: A boolean, which determines if the memory
from a folder should be loaded
"""
Agent.load(self, path)
if load_model:
with open(os.path.join(path, 'amodel.json'), 'r') as file:
self.amodel = model_from_json(file.read())
self.amodel.load_weights(os.path.join(path, 'aweights.h5'))
if load_data:
with h5py.File(os.path.join(path, 'data.h5'), 'r') as file:
for state in file['states']:
self.states.add(state)
for action in file['actions']:
self.actions.add(action)
for dreward in file['drewards']:
self.drewards.add(dreward)
def save(self, path, save_model=True, save_data=True, note='PGAgent Save'):
"""Saves a note, model weights, and memory to a new folder.
params:
path: A string, which is the path to a folder to save within
save_model: A boolean, which determines if the model
architecture and weights
should be saved
save_data: A boolean, which determines if the memory
should be saved
note: A string, which is a note to save in the folder
return: A string, which is the complete path of the save
"""
path = Agent.save(self, path, note)
if save_model:
with open(os.path.join(path, 'amodel.json'), 'w') as file:
file.write(self.amodel.to_json())
self.amodel.save_weights(os.path.join(path, 'aweights.h5'))
if save_data:
with h5py.File(os.path.join(path, 'data.h5'), 'w') as file:
file.create_dataset('states', data=self.states.array())
file.create_dataset('actions', data=self.actions.array())
file.create_dataset('drewards', data=self.drewards.array())
return path
class DDPGAgent(Agent):
"""This class (Deep Deterministic Policy Gradient Agent) is an Agent
that uses two Neural Networks. An Actor network, which is like
a PGAgent Network and a Critic Network like the DQNAgent
Network. The critic rates the actions of the actor.
"""
def __init__(self, policy, amodel, cmodel, discounted_rate,
create_memory=lambda: Memory(),
enable_target=False):
"""Initalizes the DDPG Agent.
params:
policy: A policy instance
amodel: A keras model, which takes the state as input and outputs
actions (regularization losses are not applied,
and compiled loss are not used)
cmodel: A keras model, which takes the state and a action as input
and outputs Q Values (a judgement)
discounted_rate: A float within 0.0-1.0, which is the rate that
future rewards should be counted for the current
reward
create_memory: A function, which returns a Memory instance
enable_target: A boolean, which determines if a target model
should be used for the critic
"""
print('WARNING: This implementation may be incorrect.')
Agent.__init__(self, amodel.output_shape[1:], policy)
self.amodel = amodel
self.cmodel = cmodel
self.target_cmodel = None
self.enable_target = enable_target
self.discounted_rate = discounted_rate
if self.enable_target:
self.target_amodel = keras.models.clone_model(amodel)
self.target_amodel.compile(optimizer='sgd', loss='mse')
self.target_cmodel = keras.models.clone_model(cmodel)
self.target_cmodel.compile(optimizer='sgd', loss='mse')
else:
self.target_amodel = self.amodel
self.target_cmodel = self.cmodel
self.states = create_memory()
self.next_states = create_memory()
self.actions = create_memory()
self.rewards = create_memory()
self.terminals = create_memory()
self.total_steps = 0
self.metric_c = tf.keras.metrics.Mean(name='critic_loss')
self.metric_a = tf.keras.metrics.Mean(name='actor_loss')
self._tf_train_step = tf.function(
self._train_step,
input_signature=(tf.TensorSpec(shape=self.amodel.input_shape,
dtype=tf.keras.backend.floatx()),
tf.TensorSpec(shape=self.amodel.input_shape,
dtype=tf.keras.backend.floatx()),
tf.TensorSpec(shape=self.amodel.output_shape,
dtype=tf.keras.backend.floatx()),
tf.TensorSpec(shape=(None,),
dtype=tf.keras.backend.floatx()),
tf.TensorSpec(shape=(None,),
dtype=tf.keras.backend.floatx()))
)
def select_action(self, state, training=False):
"""Returns the action the Agent "believes" to be
suited for the given state.
params:
state: A value or list of values, which is the
state to predict the actions for
training: A boolean, which determines if the
agent is training
return: A value or list of values, which is the
selected action
"""
def _select_action():
actions = self.amodel(np.expand_dims(state, axis=0),
training=False)[0].numpy()
return actions
actions = self.policy.select_action(_select_action,
training=training)
return actions
def set_playing_data(self, training=False, memorizing=False,
learns_in_episode=False, batch_size=None,
mini_batch=0, epochs=1, repeat=1,
target_update_interval=1, tau=1.0, verbose=True):
"""Sets the playing data.
params:
training: A boolean, which determines if the agent
should be treated as in a training mode
memorizing: A boolean, which determines if the agent
should be adding the information obtained
through playing an episode to memory
learns_in_episode: A boolean, which determines if the agent
learns during a episode or at the end
batch_size: An integer, which is the size of each batch
within the mini-batch during one training instance
mini_batch: An integer, which is the entire batch size for
one training instance
epochs: An integer, which is the number of epochs to train
in one training instance
repeat: An integer, which is the times to repeat a training
instance in one training instance (similar to epochs,
but mini_batch is resampled and qvalues repredicted)
target_update_interval: An integer, which is the number of
complete training instances
(repeats do not count) until the
target critic model weights are updated
tau: A float, which is the strength of the copy from the
Actor or Critic model to the target models
(1.0 is a hard copy and less is softer)
verbose: A boolean, which determines if training
should be verbose (print information to the screen)
"""
learning_params = {'batch_size': batch_size,
'mini_batch': mini_batch,
'epochs': epochs,
'repeat': repeat,
'target_update_interval': target_update_interval,
'tau': tau,
'verbose': verbose}
self.playing_data = PlayingData(training, memorizing, epochs,
learns_in_episode, learning_params)
def add_memory(self, state, action, new_state, reward, terminal):
"""Adds information from one step in the environment to the agent.
params:
state: A value or list of values, which is the
state of the environment before the
action was performed
action: A value or list of values, which is the
action the agent took
new_state: A value or list of values, which is the
state of the environment after performing
the action
reward: A float/integer, which is the evaluation of
the action performed
terminal: A boolean, which determines if this call to
add memory is the last for the episode
"""
self.states.add(np.array(state))
self.next_states.add(np.array(new_state))
self.actions.add(action)
self.rewards.add(reward)
self.terminals.add(0 if terminal else 1)
def forget(self):
"""Forgets or clears all memory."""
self.states.reset()
self.next_states.reset()
self.actions.reset()
self.rewards.reset()
self.terminals.reset()
def update_target(self, tau):
"""Updates the target Actor and Critic Model weights.
params:
tau: A float, which is the strength of the copy from the
Actor or Critic model to the target models
(1.0 is a hard copy and less is softer)
"""
if tau == 1.0:
self.target_amodel.set_weights(self.amodel.get_weights())
self.target_cmodel.set_weights(self.cmodel.get_weights())
else:
tws = self.target_amodel.trainable_variables
ws = self.amodel.trainable_variables
for ndx in range(len(tws)):
tws[ndx] = ws[ndx] * tau + tws[ndx] * (1 - tau)
tws = self.target_cmodel.trainable_variables
ws = self.cmodel.trainable_variables
for ndx in range(len(tws)):
tws[ndx] = ws[ndx] * tau + tws[ndx] * (1 - tau)
def _train_step(self, states, next_states, actions, terminals, rewards):
"""Performs one gradient step with a batch of data.
params:
states: A tensor that contains environment states
next_states: A tensor that contains the states of
the environment after an action was performed
actions: A tensor that contains the actions performed
terminals: A tensor that contains ones for nonterminal
states and zeros for terminal states
rewards: A tensor that contains the reward for the action
performed in the environment
"""
next_actions = self.target_amodel(next_states, training=False)
next_qvalues = self.target_cmodel([next_states, next_actions],
training=False)
qvalues_true = (rewards +
self.discounted_rate * next_qvalues * terminals)
# Critic
with tf.GradientTape() as tape:
qvalues_pred = self.cmodel([states, actions], training=True)
if len(self.cmodel.losses) > 0:
reg_loss = tf.math.add_n(self.cmodel.losses)
else:
reg_loss = 0
loss = self.cmodel.loss_functions[0](qvalues_true, qvalues_pred)
loss = tf.reduce_mean(loss) + reg_loss
grads = tape.gradient(loss, self.cmodel.trainable_variables)
self.cmodel.optimizer.apply_gradients(
zip(grads, self.cmodel.trainable_variables)
)
self.metric_c(loss)
# Actor
with tf.GradientTape() as tape:
action_preds = self.amodel(states, training=True)
loss = -tf.reduce_mean(
self.cmodel([states, action_preds], training=False)
)
grads = tape.gradient(loss, self.amodel.trainable_variables)
self.amodel.optimizer.apply_gradients(
zip(grads, self.amodel.trainable_variables)
)
self.metric_a(loss)
def _train(self, states, next_states, actions, terminals, rewards,
epochs, batch_size, verbose=True):
"""Performs multiple gradient steps of all the data.
params:
states: A numpy array that contains environment states
next_states: A numpy array that contains the states of
the environment after an action was performed
actions: A numpy array that contains the actions performed
terminals: A numpy array that contains ones for nonterminal
states and zeros for terminal states
rewards: A numpy array that contains the reward for the action
performed in the environment
epochs: An integer, which is the number of complete gradient
steps to perform
batch_size: An integer, which is the size of the batch for
each partial gradient step
verbose: A boolean, which determines if information should
be printed to the screen
return: A float, which is the mean critic loss of the batches
"""
length = states.shape[0]
float_type = tf.keras.backend.floatx()
batches = tf.data.Dataset.from_tensor_slices(
(states.astype(float_type),
next_states.astype(float_type),
actions.astype(float_type),
terminals.astype(float_type),
rewards.astype(float_type))
).batch(batch_size)
for epoch in range(1, epochs + 1):
if verbose:
print(f'Epoch {epoch}/{epochs}')
count = 0
for batch in batches:
self._tf_train_step(*batch)
count += np.minimum(batch_size, length - count)
print(f'{count}/{length}', end='\r')
critic_loss_results = self.metric_c.result()
actor_loss_results = self.metric_a.result()
self.metric_c.reset_states()
self.metric_a.reset_states()
if verbose:
print(f'{count}/{length} - '
f'critic_loss: {critic_loss_results} - '
f'actor_loss: {actor_loss_results}')
return critic_loss_results
def learn(self, batch_size=None, mini_batch=0,
epochs=1, repeat=1,
target_update_interval=1, tau=1.0, verbose=True):
"""Trains the agent on a sample of its experiences.
params:
batch_size: An integer, which is the size of each batch
within the mini_batch during one training instance
mini_batch: An integer, which is the entire batch size for
one training instance
epochs: An integer, which is the number of epochs to train
in one training instance
repeat: An integer, which is the times to repeat a training
instance in one training instance (similar to epochs,
but mini_batch is resampled and predictions are
repredicted)
target_update_interval: An integer, which is the number of
complete training instances
(repeats do not count) until the
target critic model weights are updated
tau: A float, which is the strength of the copy from the
Actor or Critic model to the target models
(1.0 is a hard copy and less is softer)
verbose: A boolean, which determines if training
should be verbose (print information to the screen)
"""
self.total_steps += 1
if mini_batch > 0 and len(self.states) > mini_batch:
length = mini_batch
else:
length = len(self.states)
for count in range(1, repeat+1):
if verbose:
print(f'Repeat {count}/{repeat}')
indexes = np.random.choice(np.arange(len(self.states)),
size=length, replace=False)
if length >= 10000: # depends on cpu and other factors
next_states_arr = self.next_states.array()[indexes]
states_arr = self.states.array()[indexes]
actions_arr = self.actions.array()[indexes]
rewards_arr = self.rewards.array()[indexes]
terminals_arr = self.terminals.array()[indexes]
else:
next_states_arr = np.empty((length, *self.states[0].shape))
states_arr = np.empty((length, *self.states[0].shape))
actions_arr = np.empty((length, *self.actions[0].shape))
rewards_arr = np.empty(length)
terminals_arr = np.empty(length)
for ndx, rndx in enumerate(indexes):
states_arr[ndx] = self.states[rndx]
next_states_arr[ndx] = self.next_states[rndx]
actions_arr[ndx] = self.actions[rndx]
rewards_arr[ndx] = self.rewards[rndx]
terminals_arr[ndx] = self.terminals[rndx]
self._train(states_arr, next_states_arr, actions_arr,
terminals_arr, rewards_arr, epochs, batch_size,
verbose=verbose)
if (self.enable_target
and self.total_steps % target_update_interval == 0):
self.update_target(tau)
def load(self, path, load_model=True, load_data=True):
"""Loads a save from a folder.
params:
path: A string, which is the path to a folder to load
load_model: A boolean, which determines if the model
architectures and weights
should be loaded
load_data: A boolean, which determines if the memory
from a folder should be loaded
"""
Agent.load(self, path)
if load_model:
with open(os.path.join(path, 'amodel.json'), 'r') as file:
self.amodel = model_from_json(file.read())
with open(os.path.join(path, 'cmodel.json'), 'r') as file:
self.cmodel = model_from_json(file.read())
self.amodel.load_weights(os.path.join(path, 'aweights.h5'))
self.cmodel.load_weights(os.path.join(path, 'cweights.h5'))
if load_data:
with h5py.File(os.path.join(path, 'data.h5'), 'r') as file:
for state in file['states']:
self.states.add(state)
for new_state in file['next_states']:
self.next_states.add(new_state)
for action in file['actions']:
self.actions.add(action)
for reward in file['rewards']:
self.rewards.add(reward)
for terminal in file['terminals']:
self.terminals.add(terminal)
def save(self, path, save_model=True, save_data=True,
note='DDPGAgent Save'):
"""Saves a note, weights of the models, and memory to a new folder.
params:
path: A string, which is the path to a folder to save within
save_model: A boolean, which determines if the model
architectures and weights
should be saved
save_data: A boolean, which determines if the memory
should be saved
note: A string, which is a note to save in the folder
return: A string, which is the complete path of the save
"""
path = Agent.save(self, path, note)
if save_model:
with open(os.path.join(path, 'amodel.json'), 'w') as file:
file.write(self.amodel.to_json())
with open(os.path.join(path, 'cmodel.json'), 'w') as file:
file.write(self.cmodel.to_json())
self.amodel.save_weights(os.path.join(path, 'aweights.h5'))
self.cmodel.save_weights(os.path.join(path, 'cweights.h5'))
if save_data:
with h5py.File(os.path.join(path, 'data.h5'), 'w') as file:
file.create_dataset('states', data=self.states.array())
file.create_dataset('next_states',
data=self.next_states.array())
file.create_dataset('actions', data=self.actions.array())
file.create_dataset('rewards', data=self.rewards.array())
file.create_dataset('terminals', data=self.terminals.array())
return path
| 43.687129
| 79
| 0.5548
| 12,792
| 110,310
| 4.663149
| 0.048077
| 0.017602
| 0.023805
| 0.029689
| 0.813264
| 0.78686
| 0.762401
| 0.740759
| 0.714422
| 0.698865
| 0
| 0.004231
| 0.374427
| 110,310
| 2,524
| 80
| 43.704437
| 0.860188
| 0.372088
| 0
| 0.57578
| 0
| 0
| 0.042716
| 0.001052
| 0
| 0
| 0
| 0
| 0.009658
| 1
| 0.089153
| false
| 0.007429
| 0.008172
| 0.002972
| 0.156761
| 0.017831
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
485c4df839b7a73db4114cb5e6e096d7902d8ff4
| 693
|
py
|
Python
|
scripts/fundamentals/scrp_Logical_if_statement.py
|
duttashi/learnpy
|
c08b76b173b06d66187e51a6939d55d5dd12cb5a
|
[
"MIT"
] | null | null | null |
scripts/fundamentals/scrp_Logical_if_statement.py
|
duttashi/learnpy
|
c08b76b173b06d66187e51a6939d55d5dd12cb5a
|
[
"MIT"
] | 77
|
2019-04-20T06:54:19.000Z
|
2022-01-16T08:15:20.000Z
|
scripts/fundamentals/scrp_Logical_if_statement.py
|
duttashi/learnpy
|
c08b76b173b06d66187e51a6939d55d5dd12cb5a
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 14 16:15:05 2020
Logical condition: If statement
@author: Ashish
"""
day_of_week = input("What day of the week is it today? ")
if day_of_week == "Monday":
print("Have a great start to your week!")
elif day_of_week == "Friday":
print("It's ok to finish a bit early!")
else:
print("Full speed ahead!")
# -- Problem: user not entering what we expect --
day_of_week = input("What day of the week is it today? ").lower()
if day_of_week == "monday":
print("Have a great start to your week!")
elif day_of_week == "friday":
print("It's ok to finish a bit early!")
else:
print("Full speed ahead!")
| 24.75
| 66
| 0.630592
| 114
| 693
| 3.72807
| 0.464912
| 0.094118
| 0.127059
| 0.065882
| 0.729412
| 0.729412
| 0.729412
| 0.729412
| 0.729412
| 0.729412
| 0
| 0.024436
| 0.232323
| 693
| 27
| 67
| 25.666667
| 0.774436
| 0.222222
| 0
| 0.571429
| 0
| 0
| 0.499002
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.428571
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 6
|
485cff93f4c5897bca0e48491c18d6fb6067db95
| 300
|
py
|
Python
|
0733 Peekable Iterator.py
|
ansabgillani/binarysearchcomproblems
|
12fe8632f8cbb5058c91a55bae53afa813a3247e
|
[
"MIT"
] | 1
|
2020-12-29T21:17:26.000Z
|
2020-12-29T21:17:26.000Z
|
0733 Peekable Iterator.py
|
ansabgillani/binarysearchcomproblems
|
12fe8632f8cbb5058c91a55bae53afa813a3247e
|
[
"MIT"
] | null | null | null |
0733 Peekable Iterator.py
|
ansabgillani/binarysearchcomproblems
|
12fe8632f8cbb5058c91a55bae53afa813a3247e
|
[
"MIT"
] | 4
|
2021-09-09T17:42:43.000Z
|
2022-03-18T04:54:03.000Z
|
class PeekableIterator:
def __init__(self, nums):
self.nums = nums
self.i = 0
def peek(self):
return self.nums[self.i]
def next(self):
self.i += 1
return self.nums[self.i-1]
def hasnext(self):
return self.i < len(self.nums)
| 18.75
| 38
| 0.536667
| 41
| 300
| 3.829268
| 0.341463
| 0.254777
| 0.229299
| 0.229299
| 0.242038
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015306
| 0.346667
| 300
| 15
| 39
| 20
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.363636
| false
| 0
| 0
| 0.181818
| 0.727273
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
487cc069c7d320759fd2272e555c78e9fb43f58f
| 57
|
py
|
Python
|
CAAPR/CAAPR_Photom/__init__.py
|
wdobbels/CAAPR
|
50d0b32642a61af614c22f1c6dc3c4a00a1e71a3
|
[
"MIT"
] | 7
|
2016-05-20T21:56:39.000Z
|
2022-02-07T21:09:48.000Z
|
CAAPR/CAAPR_Photom/__init__.py
|
wdobbels/CAAPR
|
50d0b32642a61af614c22f1c6dc3c4a00a1e71a3
|
[
"MIT"
] | 1
|
2019-03-21T16:10:04.000Z
|
2019-03-22T17:21:56.000Z
|
CAAPR/CAAPR_Photom/__init__.py
|
wdobbels/CAAPR
|
50d0b32642a61af614c22f1c6dc3c4a00a1e71a3
|
[
"MIT"
] | 1
|
2020-05-19T16:17:17.000Z
|
2020-05-19T16:17:17.000Z
|
from . import CAAPR_Photom
from .CAAPR_Photom import *
| 19
| 28
| 0.77193
| 8
| 57
| 5.25
| 0.5
| 0.52381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.175439
| 57
| 2
| 29
| 28.5
| 0.893617
| 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
| 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
| 6
|
6f9c6aec874d67394922d584a31cf415da12cc40
| 49
|
py
|
Python
|
src/image/video/__init__.py
|
fronovics/AI_playground
|
ac302c0694fa2182af343c257b28a033bc4cf5b9
|
[
"Apache-2.0"
] | null | null | null |
src/image/video/__init__.py
|
fronovics/AI_playground
|
ac302c0694fa2182af343c257b28a033bc4cf5b9
|
[
"Apache-2.0"
] | null | null | null |
src/image/video/__init__.py
|
fronovics/AI_playground
|
ac302c0694fa2182af343c257b28a033bc4cf5b9
|
[
"Apache-2.0"
] | null | null | null |
from src.image.video.video_loop import VideoLoop
| 24.5
| 48
| 0.857143
| 8
| 49
| 5.125
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.081633
| 49
| 1
| 49
| 49
| 0.911111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 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
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
6f9f4a5b6c8223f54d05fab7db84f79b8957394c
| 10,423
|
py
|
Python
|
src/pds_doi_service/core/db/test/doi_database_test.py
|
NASA-PDS/pds-doi-service
|
b994381a5757700229865e8fe905553559684e0d
|
[
"Apache-2.0"
] | 2
|
2020-11-03T19:29:11.000Z
|
2021-09-26T01:42:41.000Z
|
src/pds_doi_service/core/db/test/doi_database_test.py
|
NASA-PDS/pds-doi-service
|
b994381a5757700229865e8fe905553559684e0d
|
[
"Apache-2.0"
] | 222
|
2020-05-07T21:05:23.000Z
|
2021-12-16T22:14:54.000Z
|
src/pds_doi_service/core/db/test/doi_database_test.py
|
NASA-PDS/pds-doi-service
|
b994381a5757700229865e8fe905553559684e0d
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python
import datetime
import os
import unittest
from datetime import timedelta
from datetime import timezone
from os.path import exists
from pds_doi_service.core.db.doi_database import DOIDataBase
from pds_doi_service.core.entities.doi import DoiStatus
from pds_doi_service.core.entities.doi import ProductType
from pds_doi_service.core.util.general_util import get_logger
from pkg_resources import resource_filename
logger = get_logger(__name__)
class DOIDatabaseTest(unittest.TestCase):
"""Unit tests for the doi_database.py module"""
def setUp(self):
self._db_name = resource_filename(__name__, "doi_temp.db")
# Delete temporary db if it already exists, this can occur when tests
# are terminated before completion (during debugging for example)
if exists(self._db_name):
os.remove(self._db_name)
self._doi_database = DOIDataBase(self._db_name)
def tearDown(self):
if exists(self._db_name):
os.remove(self._db_name)
def test_select_latest_rows(self):
"""Test selecting of latest rows from the transaction database"""
# Set up a sample db entry
identifier = "urn:nasa:pds:lab_shocked_feldspars::1.0"
transaction_key = "img/2020-06-15T18:42:45.653317"
doi = "10.17189/21729"
date_added = datetime.datetime.now()
date_updated = datetime.datetime.now()
status = DoiStatus.Unknown
title = "Laboratory Shocked Feldspars Bundle"
product_type = ProductType.Collection
product_type_specific = "PDS4 Collection"
submitter = "img-submitter@jpl.nasa.gov"
discipline_node = "img"
# Insert a row in the 'doi' table
self._doi_database.write_doi_info_to_database(
identifier,
transaction_key,
doi,
date_added,
date_updated,
status,
title,
product_type,
product_type_specific,
submitter,
discipline_node,
)
# Select the row we just added
# The type of o_query_result should be JSON and a list of 1
o_query_result = self._doi_database.select_latest_rows(query_criterias={"doi": [doi]})
# Reformat results to a dictionary to test with
query_result = dict(zip(o_query_result[0], o_query_result[1][0]))
# Ensure we got back everything we just put in
self.assertEqual(query_result["status"], status)
self.assertEqual(
int(query_result["date_added"].timestamp()),
int(date_added.replace(tzinfo=timezone(timedelta(hours=--8.0))).timestamp()),
)
self.assertEqual(
int(query_result["date_updated"].timestamp()),
int(date_updated.replace(tzinfo=timezone(timedelta(hours=--8.0))).timestamp()),
)
self.assertEqual(query_result["submitter"], submitter)
self.assertEqual(query_result["title"], title)
self.assertEqual(query_result["type"], product_type)
self.assertEqual(query_result["subtype"], product_type_specific)
self.assertEqual(query_result["node_id"], discipline_node)
self.assertEqual(query_result["identifier"], identifier)
self.assertEqual(query_result["doi"], doi)
self.assertEqual(query_result["transaction_key"], transaction_key)
self.assertTrue(query_result["is_latest"])
# Update some fields and write a new "latest" entry
status = DoiStatus.Draft
submitter = "eng-submitter@jpl.nasa.gov"
discipline_node = "eng"
self._doi_database.write_doi_info_to_database(
identifier,
transaction_key,
doi,
date_added,
date_updated,
status,
title,
product_type,
product_type_specific,
submitter,
discipline_node,
)
# Query again and ensure we only get latest back
o_query_result = self._doi_database.select_latest_rows(query_criterias={"doi": [doi]})
# Should only get the one row back
self.assertEqual(len(o_query_result[-1]), 1)
query_result = dict(zip(o_query_result[0], o_query_result[-1][0]))
self.assertEqual(query_result["status"], status)
self.assertEqual(query_result["submitter"], submitter)
self.assertEqual(query_result["node_id"], discipline_node)
self.assertTrue(query_result["is_latest"])
self._doi_database.close_database()
def test_select_latest_rows_lid_only(self):
"""Test corner case where we select and update rows that only specify a LID"""
# Set up a sample db entry
identifier = "urn:nasa:pds:insight_cameras"
transaction_key = "img/2021-05-10T00:00:00.000000"
doi = "10.17189/22000"
date_added = datetime.datetime.now()
date_updated = datetime.datetime.now()
status = DoiStatus.Unknown
title = "Insight Cameras Bundle"
product_type = ProductType.Collection
product_type_specific = "PDS4 Collection"
submitter = "eng-submitter@jpl.nasa.gov"
discipline_node = "eng"
# Insert a row in the 'doi' table
self._doi_database.write_doi_info_to_database(
identifier,
transaction_key,
doi,
date_added,
date_updated,
status,
title,
product_type,
product_type_specific,
submitter,
discipline_node,
)
# Select the row we just added
# The type of o_query_result should be JSON and a list of 1
o_query_result = self._doi_database.select_latest_rows(query_criterias={"ids": [identifier]})
# Reformat results to a dictionary to test with
query_result = dict(zip(o_query_result[0], o_query_result[1][0]))
# Ensure we got back everything we just put in
self.assertEqual(query_result["status"], status)
self.assertEqual(
int(query_result["date_added"].timestamp()),
int(date_added.replace(tzinfo=timezone(timedelta(hours=--8.0))).timestamp()),
)
self.assertEqual(
int(query_result["date_updated"].timestamp()),
int(date_updated.replace(tzinfo=timezone(timedelta(hours=--8.0))).timestamp()),
)
self.assertEqual(query_result["submitter"], submitter)
self.assertEqual(query_result["title"], title)
self.assertEqual(query_result["type"], product_type)
self.assertEqual(query_result["subtype"], product_type_specific)
self.assertEqual(query_result["node_id"], discipline_node)
self.assertEqual(query_result["identifier"], identifier)
self.assertEqual(query_result["doi"], doi)
self.assertEqual(query_result["transaction_key"], transaction_key)
self.assertTrue(query_result["is_latest"])
# Update some fields and write a new "latest" entry
status = DoiStatus.Pending
submitter = "img-submitter@jpl.nasa.gov"
discipline_node = "img"
self._doi_database.write_doi_info_to_database(
identifier,
transaction_key,
doi,
date_added,
date_updated,
status,
title,
product_type,
product_type_specific,
submitter,
discipline_node,
)
# Query again and ensure we only get latest back
o_query_result = self._doi_database.select_latest_rows(query_criterias={"ids": [identifier]})
# Should only get the one row back
self.assertEqual(len(o_query_result[-1]), 1)
query_result = dict(zip(o_query_result[0], o_query_result[-1][0]))
self.assertEqual(query_result["status"], status)
self.assertEqual(query_result["submitter"], submitter)
self.assertEqual(query_result["node_id"], discipline_node)
self.assertTrue(query_result["is_latest"])
self._doi_database.close_database()
def test_query_by_wildcard(self):
"""
Test selection of database rows using tokens with wildcards for the
columns that support it
"""
# Insert some sample rows with similar lidvids
num_rows = 6
for _id in range(1, 1 + num_rows):
lid = "urn:nasa:pds:lab_shocked_feldspars"
vid = f"{_id}.0"
identifier = lid + "::" + vid
transaction_key = f"img/{_id}/2020-06-15T18:42:45.653317"
doi = f"10.17189/2000{_id}"
date_added = datetime.datetime.now()
date_updated = datetime.datetime.now()
status = DoiStatus.Draft
title = f"Laboratory Shocked Feldspars Bundle {_id}"
product_type = ProductType.Collection
product_type_specific = "PDS4 Collection"
submitter = "img-submitter@jpl.nasa.gov"
discipline_node = "img"
self._doi_database.write_doi_info_to_database(
identifier,
transaction_key,
doi,
date_added,
date_updated,
status,
title,
product_type,
product_type_specific,
submitter,
discipline_node,
)
# Use a wildcard with lidvid column to select everything we just
# inserted
o_query_result = self._doi_database.select_latest_rows(
query_criterias={"ids": ["urn:nasa:pds:lab_shocked_feldspars::*"]}
)
# Should get all rows back
self.assertEqual(len(o_query_result[-1]), num_rows)
# Try again using just the lid
o_query_result = self._doi_database.select_latest_rows(
query_criterias={"ids": ["urn:nasa:*:lab_shocked_feldspars::1.0"]}
)
self.assertEqual(len(o_query_result[-1]), 1)
# Test with a combination of wildcards and full tokens
o_query_result = self._doi_database.select_latest_rows(
query_criterias={
"ids": ["urn:nasa:pds:lab_shocked_feldspars::1.0", "urn:nasa:pds:lab_shocked_feldspars::2.*"]
}
)
self.assertEqual(len(o_query_result[-1]), 2)
if __name__ == "__main__":
unittest.main()
| 36.444056
| 109
| 0.627938
| 1,225
| 10,423
| 5.083265
| 0.168163
| 0.102457
| 0.077084
| 0.100209
| 0.797816
| 0.781436
| 0.772121
| 0.759435
| 0.732777
| 0.718805
| 0
| 0.01858
| 0.27708
| 10,423
| 285
| 110
| 36.57193
| 0.80783
| 0.131728
| 0
| 0.715686
| 0
| 0
| 0.110059
| 0.053359
| 0
| 0
| 0
| 0
| 0.181373
| 1
| 0.02451
| false
| 0
| 0.053922
| 0
| 0.083333
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
6ff9c44a44b50f4552f3fdda6f7c53417d34cbcb
| 48
|
py
|
Python
|
dev_original.py
|
halbert04/pynet
|
cae300f0e2dd6f24336a5a97d53685ba1a7e60d4
|
[
"Apache-2.0"
] | null | null | null |
dev_original.py
|
halbert04/pynet
|
cae300f0e2dd6f24336a5a97d53685ba1a7e60d4
|
[
"Apache-2.0"
] | null | null | null |
dev_original.py
|
halbert04/pynet
|
cae300f0e2dd6f24336a5a97d53685ba1a7e60d4
|
[
"Apache-2.0"
] | null | null | null |
print "this is a file original from dev branch"
| 24
| 47
| 0.770833
| 9
| 48
| 4.111111
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1875
| 48
| 1
| 48
| 48
| 0.948718
| 0
| 0
| 0
| 0
| 0
| 0.8125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 1
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 6
|
6ffec84f318bf38c68b1a11b7e3818d670628f49
| 1,219
|
py
|
Python
|
py/tests/problems/hashtable/sparse_matrix.py
|
bmoretz/Daily-Coding-Problem
|
f79e062e9f6e7b18b7e95c071fbe71ad104affcb
|
[
"MIT"
] | 1
|
2020-06-26T13:28:43.000Z
|
2020-06-26T13:28:43.000Z
|
py/tests/problems/hashtable/sparse_matrix.py
|
bmoretz/Daily-Coding-Problem
|
f79e062e9f6e7b18b7e95c071fbe71ad104affcb
|
[
"MIT"
] | 7
|
2021-11-18T19:46:08.000Z
|
2022-03-12T01:03:01.000Z
|
py/tests/problems/hashtable/sparse_matrix.py
|
bmoretz/Daily-Coding-Problem
|
f79e062e9f6e7b18b7e95c071fbe71ad104affcb
|
[
"MIT"
] | null | null | null |
import unittest
from dcp.problems.hashtable.sparse_matrix import SparseMatrix
class Test_SparseMatrix(unittest.TestCase):
def setUp(self):
pass
def test_case1(self):
mat = [[0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1], \
[0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1], \
[0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1], \
[0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1], \
[0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1]]
n, m = 100, 100
sm = SparseMatrix(mat, n, m)
non_zero = [[5, 13, 19, 28], \
[5, 13, 19, 28], \
[5, 13, 19, 28], \
[5, 13, 19, 28], \
[5, 13, 19, 28]]
for n, row in enumerate(mat):
for m, _ in enumerate(row):
if m in non_zero[n]:
assert sm.get(n, m) != 0
else:
assert sm.get(n, m) == 0
| 36.939394
| 106
| 0.364233
| 230
| 1,219
| 1.904348
| 0.165217
| 0.479452
| 0.582192
| 0.593607
| 0.474886
| 0.474886
| 0.410959
| 0.410959
| 0.410959
| 0.410959
| 0
| 0.27551
| 0.437244
| 1,219
| 33
| 107
| 36.939394
| 0.362974
| 0
| 0
| 0.25
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.083333
| 1
| 0.083333
| false
| 0.041667
| 0.083333
| 0
| 0.208333
| 0
| 0
| 0
| 1
| 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 | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
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